literature review directions for future research

Research Methods

• Getting Started
• Literature Review Research
• Research Design
• Research Design By Discipline
• SAGE Research Methods
• Teaching with SAGE Research Methods

Literature Review

• What is a Literature Review?
• What is NOT a Literature Review?
• Purposes of a Literature Review
• Types of Literature Reviews
• Literature Reviews vs. Systematic Reviews
• Systematic vs. Meta-Analysis

Literature Review  is a comprehensive survey of the works published in a particular field of study or line of research, usually over a specific period of time, in the form of an in-depth, critical bibliographic essay or annotated list in which attention is drawn to the most significant works.

Also, we can define a literature review as the collected body of scholarly works related to a topic:

• Summarizes and analyzes previous research relevant to a topic
• Includes scholarly books and articles published in academic journals
• Can be an specific scholarly paper or a section in a research paper

The objective of a Literature Review is to find previous published scholarly works relevant to an specific topic

• Help gather ideas or information
• Keep up to date in current trends and findings
• Help develop new questions

A literature review is important because it:

• Explains the background of research on a topic.
• Demonstrates why a topic is significant to a subject area.
• Helps focus your own research questions or problems
• Discovers relationships between research studies/ideas.
• Suggests unexplored ideas or populations
• Identifies major themes, concepts, and researchers on a topic.
• Tests assumptions; may help counter preconceived ideas and remove unconscious bias.
• Identifies critical gaps, points of disagreement, or potentially flawed methodology or theoretical approaches.
• Indicates potential directions for future research.

All content in this section is from Literature Review Research from Old Dominion University 

Keep in mind the following, a literature review is NOT:

Not an essay 

Not an annotated bibliography  in which you summarize each article that you have reviewed.  A literature review goes beyond basic summarizing to focus on the critical analysis of the reviewed works and their relationship to your research question.

Not a research paper   where you select resources to support one side of an issue versus another.  A lit review should explain and consider all sides of an argument in order to avoid bias, and areas of agreement and disagreement should be highlighted.

A literature review serves several purposes. For example, it

• provides thorough knowledge of previous studies; introduces seminal works.
• helps focus one’s own research topic.
• identifies a conceptual framework for one’s own research questions or problems; indicates potential directions for future research.
• suggests previously unused or underused methodologies, designs, quantitative and qualitative strategies.
• identifies gaps in previous studies; identifies flawed methodologies and/or theoretical approaches; avoids replication of mistakes.
• helps the researcher avoid repetition of earlier research.
• suggests unexplored populations.
• determines whether past studies agree or disagree; identifies controversy in the literature.
• tests assumptions; may help counter preconceived ideas and remove unconscious bias.

As Kennedy (2007) notes*, it is important to think of knowledge in a given field as consisting of three layers. First, there are the primary studies that researchers conduct and publish. Second are the reviews of those studies that summarize and offer new interpretations built from and often extending beyond the original studies. Third, there are the perceptions, conclusions, opinion, and interpretations that are shared informally that become part of the lore of field. In composing a literature review, it is important to note that it is often this third layer of knowledge that is cited as "true" even though it often has only a loose relationship to the primary studies and secondary literature reviews.

Given this, while literature reviews are designed to provide an overview and synthesis of pertinent sources you have explored, there are several approaches to how they can be done, depending upon the type of analysis underpinning your study. Listed below are definitions of types of literature reviews:

Argumentative Review      This form examines literature selectively in order to support or refute an argument, deeply imbedded assumption, or philosophical problem already established in the literature. The purpose is to develop a body of literature that establishes a contrarian viewpoint. Given the value-laden nature of some social science research [e.g., educational reform; immigration control], argumentative approaches to analyzing the literature can be a legitimate and important form of discourse. However, note that they can also introduce problems of bias when they are used to to make summary claims of the sort found in systematic reviews.

Integrative Review      Considered a form of research that reviews, critiques, and synthesizes representative literature on a topic in an integrated way such that new frameworks and perspectives on the topic are generated. The body of literature includes all studies that address related or identical hypotheses. A well-done integrative review meets the same standards as primary research in regard to clarity, rigor, and replication.

Historical Review      Few things rest in isolation from historical precedent. Historical reviews are focused on examining research throughout a period of time, often starting with the first time an issue, concept, theory, phenomena emerged in the literature, then tracing its evolution within the scholarship of a discipline. The purpose is to place research in a historical context to show familiarity with state-of-the-art developments and to identify the likely directions for future research.

Methodological Review      A review does not always focus on what someone said [content], but how they said it [method of analysis]. This approach provides a framework of understanding at different levels (i.e. those of theory, substantive fields, research approaches and data collection and analysis techniques), enables researchers to draw on a wide variety of knowledge ranging from the conceptual level to practical documents for use in fieldwork in the areas of ontological and epistemological consideration, quantitative and qualitative integration, sampling, interviewing, data collection and data analysis, and helps highlight many ethical issues which we should be aware of and consider as we go through our study.

Systematic Review      This form consists of an overview of existing evidence pertinent to a clearly formulated research question, which uses pre-specified and standardized methods to identify and critically appraise relevant research, and to collect, report, and analyse data from the studies that are included in the review. Typically it focuses on a very specific empirical question, often posed in a cause-and-effect form, such as "To what extent does A contribute to B?"

Theoretical Review      The purpose of this form is to concretely examine the corpus of theory that has accumulated in regard to an issue, concept, theory, phenomena. The theoretical literature review help establish what theories already exist, the relationships between them, to what degree the existing theories have been investigated, and to develop new hypotheses to be tested. Often this form is used to help establish a lack of appropriate theories or reveal that current theories are inadequate for explaining new or emerging research problems. The unit of analysis can focus on a theoretical concept or a whole theory or framework.

* Kennedy, Mary M. "Defining a Literature."  Educational Researcher  36 (April 2007): 139-147.

All content in this section is from The Literature Review created by Dr. Robert Larabee USC

Robinson, P. and Lowe, J. (2015),  Literature reviews vs systematic reviews.  Australian and New Zealand Journal of Public Health, 39: 103-103. doi: 10.1111/1753-6405.12393

What's in the name? The difference between a Systematic Review and a Literature Review, and why it matters . By Lynn Kysh from University of Southern California

Systematic review or meta-analysis?

A  systematic review  answers a defined research question by collecting and summarizing all empirical evidence that fits pre-specified eligibility criteria.

A  meta-analysis  is the use of statistical methods to summarize the results of these studies.

Systematic reviews, just like other research articles, can be of varying quality. They are a significant piece of work (the Centre for Reviews and Dissemination at York estimates that a team will take 9-24 months), and to be useful to other researchers and practitioners they should have:

• clearly stated objectives with pre-defined eligibility criteria for studies
• explicit, reproducible methodology
• a systematic search that attempts to identify all studies
• assessment of the validity of the findings of the included studies (e.g. risk of bias)
• systematic presentation, and synthesis, of the characteristics and findings of the included studies

Not all systematic reviews contain meta-analysis. 

Meta-analysis is the use of statistical methods to summarize the results of independent studies. By combining information from all relevant studies, meta-analysis can provide more precise estimates of the effects of health care than those derived from the individual studies included within a review.  More information on meta-analyses can be found in  Cochrane Handbook, Chapter 9 .

A meta-analysis goes beyond critique and integration and conducts secondary statistical analysis on the outcomes of similar studies.  It is a systematic review that uses quantitative methods to synthesize and summarize the results.

An advantage of a meta-analysis is the ability to be completely objective in evaluating research findings.  Not all topics, however, have sufficient research evidence to allow a meta-analysis to be conducted.  In that case, an integrative review is an appropriate strategy. 

Some of the content in this section is from Systematic reviews and meta-analyses: step by step guide created by Kate McAllister.

• << Previous: Getting Started
• Next: Research Design >>
• Last Updated: Aug 21, 2023 4:07 PM
• URL: https://guides.lib.udel.edu/researchmethods

• Advanced Search

Online Group-Buying: Literature Review and Directions for Future Research

• 15 citation

New Citation Alert added!

This alert has been successfully added and will be sent to:

You will be notified whenever a record that you have chosen has been cited.

To manage your alert preferences, click on the button below.

New Citation Alert!

Please log in to your account

Information & Contributors

Bibliometrics & citations.

• Guan M Li J Zhang Y Liu Y (2023) Coparticipant effect in group buying Decision Support Systems 10.1016/j.dss.2023.113980 171 :C Online publication date: 1-Aug-2023 https://dl.acm.org/doi/10.1016/j.dss.2023.113980
• Rosário A (2022) How a Sustainability Strategy Can Leverage E-Commerce? Advancing SMEs Toward E-Commerce Policies for Sustainability 10.4018/978-1-6684-5727-6.ch003 (44-72) Online publication date: 16-Dec-2022 https://doi.org/10.4018/978-1-6684-5727-6.ch003
• Schoemaker E Talhouk R Kamanu C McDonaugh E McDonaugh C Casey E Wills A Richardson F Donner J (2022) Social Agriculture: Examining the Affordances of Social Media for Agricultural Practices Proceedings of the 5th ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies 10.1145/3530190.3534806 (476-489) Online publication date: 29-Jun-2022 https://dl.acm.org/doi/10.1145/3530190.3534806
• Show More Cited By

Index Terms

Social and professional topics

Computing / technology policy

Professional topics

Management of computing and information systems

Recommendations

Characteristics of online group-buying website and consumers intention to revisit: the moderating effects of visit channels.

Online group-buying (OGB) is a relatively new market, but has attracted much academic attention. Under intensive competition, it is essential for OGB websites to maintain customers' revisit. This paper identified three context-specific characteristics ...

Determinants of repurchase intention in online group-buying

A theoretical model integrating the D&M model and trust literature was proposed.The model was tested using data collected customers of a group-buying website.Increasing satisfaction and perceived quality will facilitate repurchase intention.Increasing ...

Online Display Advertising: Targeting and Obtrusiveness

We use data from a large-scale field experiment to explore what influences the effectiveness of online advertising. We find that matching an ad to website content and increasing an ad's obtrusiveness independently increase purchase intent. However, in ...

Information

Published in.

Louisiana State University

University of Dayton

Association for Computing Machinery

New York, NY, United States

Publication History

Check for updates, author tags.

• literature review
• online group-buying
• social buying
• Research-article

Contributors

Other metrics, bibliometrics, article metrics.

• 15 Total Citations View Citations
• 908 Total Downloads
• Downloads (Last 12 months) 104
• Downloads (Last 6 weeks) 12
• Hasanpour Jesri Z Eshghi K Rafiee M (2022) A platform-based structure for group purchasing with bundles of items International Journal of Systems Science: Operations & Logistics 10.1080/23302674.2021.2022809 10 :1 Online publication date: 14-Jan-2022 https://doi.org/10.1080/23302674.2021.2022809
• Agarwal J Das G Spence M (2022) Online group buying behavior: A study of experiential versus material purchases Psychology & Marketing 10.1002/mar.21710 39 :10 (1946-1963) Online publication date: 18-Jul-2022 https://doi.org/10.1002/mar.21710
• Chow C Chow C Lai J Zhang L (2021) Online group‐buying : The effect of deal popularity on consumer purchase intention Journal of Consumer Behaviour 10.1002/cb.2013 21 :2 (387-399) Online publication date: 16-Dec-2021 https://doi.org/10.1002/cb.2013
• Liu Y (2020) Manipulating Temporal Cues and Message Concreteness for Deal Communication Journal of Global Information Management 10.4018/JGIM.2020040106 28 :2 (111-130) Online publication date: 1-Apr-2020 https://dl.acm.org/doi/10.4018/JGIM.2020040106
• Kao K Rao Hill S Troshani I (2020) Effects of cue congruence and perceived cue authenticity in online group buying Internet Research 10.1108/INTR-11-2018-0477 ahead-of-print :ahead-of-print Online publication date: 4-Mar-2020 https://doi.org/10.1108/INTR-11-2018-0477
• Zhang T Zhang J Zhao F Ru Y Sutherland J (2020) Allocating resources for a restaurant that serves regular and group-buying customers Electronic Commerce Research 10.1007/s10660-018-9315-x 20 :4 (883-913) Online publication date: 1-Dec-2020 https://dl.acm.org/doi/10.1007/s10660-018-9315-x
• Hossain M Ahmmed A Rahman S Chan C (2018) Online Group Buying (OGB) in Agricultural Food Businesses: An Exploratory Study Smart Working, Living and Organising 10.1007/978-3-030-04315-5_6 (76-89) Online publication date: 7-Dec-2018 https://doi.org/10.1007/978-3-030-04315-5_6

View Options

Login options.

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

View options.

View or Download as a PDF file.

View online with eReader .

Share this Publication link

Copying failed.

Share on social media

Affiliations, export citations.

• Please download or close your previous search result export first before starting a new bulk export. Preview is not available. By clicking download, a status dialog will open to start the export process. The process may take a few minutes but once it finishes a file will be downloadable from your browser. You may continue to browse the DL while the export process is in progress. Download
• Download citation
• Copy citation

We are preparing your search results for download ...

We will inform you here when the file is ready.

Your file of search results citations is now ready.

Your search export query has expired. Please try again.

• DOI: 10.1287/deca.2017.0355
• Corpus ID: 3562299

Social Media Analytics: Literature Review and Directions for Future Research

• A. K. Rathore , A. K. Kar , P. Vigneswara Ilavarasan
• Published in Decision Analytics 1 December 2017
• Business, Computer Science

115 Citations

A review of social media-based public opinion analyses: challenges and recommendations, data mining in social media: an analysis of techniques and applications, using social media analytics to predict social media engagement outcome for fortune ceos, a literature review on application areas of social media analytics, a review on current trends and applications of social media research in sri lanka, public relations in the age of data: corporate perspectives on social media analytics (sma), social media analytics in tourism: a review and agenda for future research, do policymakers use social media for policy design a twitter analytics approach, unveiling just-in-time decision support system using social media analytics: a case study on reverse logistics resource recycling, the power of big data analytics over fake news: a scientometric review of twitter as a predictive system in healthcare, 116 references, insights from twitter analytics: modeling social media personality dimensions and impact of breakthrough events, review of discussions on internet of things (iot): insights from twitter analytics, a comparative analysis of major online review platforms: implications for social media analytics in hospitality and tourism, a novel social media competitive analytics framework with sentiment benchmarks, international journal of information management, what can big data and text analytics tell us about hotel guest experience and satisfaction, insights from hashtag #supplychain and twitter analytics: considering twitter and twitter data for supply chain practice and research, business intelligence from social media: a study from the vast box office challenge, deep sentiment analysis: mining the causality between personality-value-attitude for analyzing business ads in social media, users of the world, unite the challenges and opportunities of social media, related papers.

Showing 1 through 3 of 0 Related Papers

To read this content please select one of the options below:

Please note you do not have access to teaching notes, infrastructure project finance: a systematic literature review and directions for future research.

Qualitative Research in Financial Markets

ISSN : 1755-4179

Article publication date: 8 February 2021

Issue publication date: 22 June 2021

The objective of this systematic literature review (SLR) is to outline the existing research in the field of infrastructure project finance (IPF). This paper aims to summarise the academic and practitioner research to highlight the benefits of adopting IPF structures in uncertain environments. By highlighting all conceptual and applied implications of IPF, the study identifies future research directions to develop a holistic understanding of IPF.

Design/methodology/approach

The SLR is based on 125 articles published in peer-reviewed journals during 1975–2019. After providing a brief overview of IPF, research methodology and citation, publication and author analysis, the SLR presents the various domains around which existing research in IPF is focussed and provides future research propositions in each domain.

The study found that despite the increased usage of IPF, academic and practitioner research in the field is lagging. Also, with increased usage of IPF in emerging and under-developed economies, IPF structure presents a perfect setting to understand how investment and financing are interlinked and how to overcome the institutional voids, socio-economic risks and inter-partner differences by IPF structures.

Originality/value

This literature review paper is based on the research in IPF between 1975 and 2019. To the best of the authors’ understanding, the SLR is the first focussed study detailing a methodical and thorough compendium of existing studies in the IPF domain. By focussing on various domains of IPF research, this paper presents future research avenues in the field.

• Infrastructure project finance
• Risk management
• Agency conflict
• Contractual structure
• Debt participants

Kumar, A. , Srivastava, V. and Tabash, M.I. (2021), "Infrastructure project finance: a systematic literature review and directions for future research", Qualitative Research in Financial Markets , Vol. 13 No. 3, pp. 295-327. https://doi.org/10.1108/QRFM-07-2020-0130

Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

Related articles

All feedback is valuable.

Please share your general feedback

Report an issue or find answers to frequently asked questions

Contact Customer Support

• {{subColumn.name}}

Green Finance

• {{newsColumn.name}}
• Share facebook twitter google linkedin

Carbon Accounting: A Systematic Literature Review and Directions for Future Research

• Jillene Marlowe 1 ,  ,  , 
• Amelia Clarke 2
• 1. Memorial University of Newfoundland, Grenfell Campus, Newfoundland, Canada
• 2. University of Waterloo, Ontario, Canada
• Received: 15 October 2021 Revised: 29 December 2021 Accepted: 12 January 2022 Published: 27 January 2022

JEL Codes: G3, M14, M41, M48, Q5, R5, L5

• Full Text(HTML)
• Download PDF

Carbon accounting is an evolving approach to support decision-making for climate action and reporting of progress. This systematic literature review of 27 journal articles in the field of carbon accounting provides an overview of the current state of the field. It illustrates the lack of transparency, reliability, and comparability within current measurement systems; the lack of research on how greenhouse gas inventories are linked to monitoring, decision-making, reporting and disclosure systems; and the role of the accounting profession. Based on the findings, we provide a summary of where research gaps exist and thus suggestions for future research directions.

• carbon accounting ,
• accounting profession ,
• measurement ,
• sustainability accounting ,
• GHG inventory ,
• carbon budget ,
• climate mitigation

Citation: Jillene Marlowe, Amelia Clarke. Carbon Accounting: A Systematic Literature Review and Directions for Future Research[J]. Green Finance, 2022, 4(1): 71-87. doi: 10.3934/GF.2022004

Related Papers:

• This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/ -->

Supplements

Access History

• Corresponding author: Email: [email protected] ; 

Reader Comments

• © 2022 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0 )

通讯作者: 陈斌, [email protected]

沈阳化工大学材料科学与工程学院 沈阳 110142

Article views( 6655 ) PDF downloads( 1182 ) Cited by( 4 )

Figures and Tables

Figures( 3 )  /  Tables( 2 )

Associated material

Other articles by authors.

• Jillene Marlowe
• Amelia Clarke

Related pages

• on Google Scholar
• Email to a friend
• Order reprints

Export File

• Figure 1. Search and screening results
• Figure 2. Distribution of articles published in the field of carbon accounting among journals
• Figure 3. Year of articles published in the field of carbon accounting among journals

An official website of the United States government

The .gov means it’s official. Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

The site is secure. The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

• Publications
• Account settings
• My Bibliography
• Collections
• Citation manager

Save citation to file

Email citation, add to collections.

• Create a new collection
• Add to an existing collection

Add to My Bibliography

Your saved search, create a file for external citation management software, your rss feed.

• Search in PubMed
• Search in NLM Catalog
• Add to Search

Many faces of the minimal clinically important difference (MCID): a literature review and directions for future research

Affiliation.

• 1 Department of Occupational Therapy, Graduate Department of Rehabilitation Sciences, University of Toronto, Toronto, Canada. [email protected]
• PMID: 11845014
• DOI: 10.1097/00002281-200203000-00006

The minimal clinically important difference (MCID) for an instrument is a much sought after, but elusive figure. In this review we will highlight new findings in this area, including taxonomy of MCID, methods used to ascertain MCID, the perspective taken for evaluating importance, and other sources of variation for MCID values. In the end we believe the MCID will be a context-specific value rather than a fixed number. The review highlights the need to do methodological research in this area, especially concurrent comparisons between approaches, or across different patient groups. There are many faces to the MCID, it is not a simple concept, nor simple to calculate.

PubMed Disclaimer

Similar articles

• [Methods to determine minimal clinically important difference]. Hu G, Huang Q, Huang Z, Sun Z. Hu G, et al. Zhong Nan Da Xue Xue Bao Yi Xue Ban. 2009 Nov;34(11):1058-62. Zhong Nan Da Xue Xue Bao Yi Xue Ban. 2009. PMID: 19952393 Chinese.
• Minimal clinically important difference, low disease activity state, and patient acceptable symptom state: methodological issues. Tubach F, Wells GA, Ravaud P, Dougados M. Tubach F, et al. J Rheumatol. 2005 Oct;32(10):2025-9. J Rheumatol. 2005. PMID: 16206363 Review.
• It's good to feel better but it's better to feel good. Dougados M. Dougados M. J Rheumatol. 2005 Jan;32(1):1-2. J Rheumatol. 2005. PMID: 15630716 No abstract available.
• Looking for important change/differences in studies of responsiveness. OMERACT MCID Working Group. Outcome Measures in Rheumatology. Minimal Clinically Important Difference. Beaton DE, Bombardier C, Katz JN, Wright JG, Wells G, Boers M, Strand V, Shea B. Beaton DE, et al. J Rheumatol. 2001 Feb;28(2):400-5. J Rheumatol. 2001. PMID: 11246687 Review.
• The concept of clinically meaningful difference in health-related quality-of-life research. How meaningful is it? Hays RD, Woolley JM. Hays RD, et al. Pharmacoeconomics. 2000 Nov;18(5):419-23. doi: 10.2165/00019053-200018050-00001. Pharmacoeconomics. 2000. PMID: 11151395
• OPerative versus non-opERAtive management of isolated ULNAr diaphyseal fractures (OPERA-Ulna): protocol for a randomized controlled trial. Schneider P, Bajammal S, Leighton R, Witges K, Rondeau K, Duffy P. Schneider P, et al. Bone Jt Open. 2024 May 20;5(5):411-418. doi: 10.1302/2633-1462.55.BJO-2023-0123.R1. Bone Jt Open. 2024. PMID: 38767222 Free PMC article.
• Using the benefit-harm trade-off method to determine the smallest worthwhile effect of intensive motor training on strength for people with spinal cord injury. Tranter KE, Glinsky JV, Ben M, Patterson H, Blecher L, Chu J, Harvey LA. Tranter KE, et al. Spinal Cord. 2024 Jun;62(6):314-319. doi: 10.1038/s41393-024-00979-6. Epub 2024 Apr 3. Spinal Cord. 2024. PMID: 38570578 Free PMC article.
• Minimal Clinically Important Difference of Scales Reported in Stroke Trials: A Review. Mishra B, Sudheer P, Agarwal A, Nilima N, Srivastava MVP, Vishnu VY. Mishra B, et al. Brain Sci. 2024 Jan 13;14(1):80. doi: 10.3390/brainsci14010080. Brain Sci. 2024. PMID: 38248295 Free PMC article. Review.
• Clinimetric properties of the Perme Intensive Care Unit Mobility Score -a multicenter study for minimum important difference and responsiveness analysis. Kenji Nawa R, Luiz Ferreira De Camillis M, Buttignol M, Machado Kutchak F, Chaves Pacheco E, Rodrigues Gonçalves LH, Correa Garcia LM, Tavares Timenetsky K, Forgiarini LA. Kenji Nawa R, et al. Colomb Med (Cali). 2023 Sep 25;54(3):e2005580. doi: 10.25100/cm.v54i3.5580. eCollection 2023 Jul-Sep. Colomb Med (Cali). 2023. PMID: 38089826 Free PMC article.
• Assessment of Residual Pain and Dissatisfaction in Total Knee Arthroplasty: Methods Matter. Musbahi O, Collins JE, Yang H, Selzer F, Chen AF, Lange J, Losina E, Katz JN. Musbahi O, et al. JB JS Open Access. 2023 Dec 6;8(4):e23.00077. doi: 10.2106/JBJS.OA.23.00077. eCollection 2023 Oct-Dec. JB JS Open Access. 2023. PMID: 38058510 Free PMC article.

Publication types

• Search in MeSH

Related information

• Cited in Books

LinkOut - more resources

Full text sources.

• Ovid Technologies, Inc.
• Wolters Kluwer

Other Literature Sources

• The Lens - Patent Citations
• MedlinePlus Health Information

• Citation Manager

NCBI Literature Resources

MeSH PMC Bookshelf Disclaimer

The PubMed wordmark and PubMed logo are registered trademarks of the U.S. Department of Health and Human Services (HHS). Unauthorized use of these marks is strictly prohibited.

The Role of Fintech in Promoting Financial Inclusion to Achieve Sustainable Development: An Integrated Bibliometric Analysis and Systematic Literature Review

• Published: 03 July 2024

Cite this article

• Kriti Kishor   ORCID: orcid.org/0009-0006-2808-1633 1 ,
• Sanjeev K. Bansal   ORCID: orcid.org/0009-0009-8585-0429 1 &
• Roshan Kumar 2  

Fintech’s ability to enhance efficiency and reduce costs in financial services can promote greater financial inclusion (FI), which in turn serves as a foundation for sustainable and equitable development. Due to the dearth of thorough summaries in the body of existing literature, this systematic review and bibliometric analysis aim to present quantitative and qualitative information about the comprehensive relationship between fintech, FI, and sustainability development in an organised way. The review includes 189 publications from peer-reviewed journals of Scopus and Web of Science (WoS) databases up to 2023. The article was compiled based on the Scientific Procedures and Rationales for Systematic Literature Reviews (SPAR‐4‐SLR) protocol and the theory-context-characteristics-methodology (TCCM) framework. Bibliometric analysis has identified the leading journals, authors, nations, articles, and themes. A conceptual model has been designed to illustrate the entire scope, following which potential study areas have been proposed. This study aims to provide academic researchers, policymakers, and regulators with a detailed understanding of the relationship between fintech, financial inclusion, and sustainable development. The analysis demonstrates that FI is an essential requirement of our society and a vital pathway to achieve sustainable development. In the content analysis, we identify an integrative framework of four variables on this nexus. We found a very few conceptual, qualitative, and mixed method papers on this interaction, which provide potential avenues for further research. We recommend that scholars consider adopting a multi-theory perspective. We propose a comprehensive framework on this nexus. It will also pinpoint specific areas that require further investigation.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save.

• Get 10 units per month
• Download Article/Chapter or Ebook
• 1 Unit = 1 Article or 1 Chapter
• Cancel anytime

Price includes VAT (Russian Federation)

Instant access to the full article PDF.

Rent this article via DeepDyve

Institutional subscriptions

Data Availability

The data that supports the findings of this study is available on request.

Adegbite, O. O., & Machethe, C. L. (2020). Bridging the financial inclusion gender gap in smallholder agriculture in Nigeria: An untapped potential for sustainable development. World Development, 127 , 104755.

Article   Google Scholar  

Afjal, M. (2023). Bridging the financial divide: A bibliometric analysis on the role of digital financial services within FinTech in enhancing financial inclusion and economic development. Humanities and Social Sciences Communications, 10 (1), 1–27.

Ahelegbey, D., Giudici, P., & Pediroda, V. (2023). A network based fintech inclusion platform. Socio-Economic Planning Sciences, 87 , 101555.

Akolgo, I. A. (2023). On the contradictions of Africa’s fintech boom: evidence from Ghana. Review of International Political Economy , 30 (5), 1639–1659. https://doi.org/10.1080/09692290.2023.2225142

Alshater, M. M., Saba, I., Supriani, I., & Rabbani, M. R. (2022). Fintech in Islamic finance literature: A review. Heliyon , 8(9). https://doi.org/10.1016/j.heliyon.2022.e10385

Ameen, N., Sharma, G. D., Tarba, S., Rao, A., & Chopra, R. (2022). Toward advancing theory on creativity in marketing and artificial intelligence. Psychology & Marketing, 39 (9), 1802–1825.

Arner, D. W., Buckley, R. P., Zetzsche, D. A., & Veidt, R. (2020). Sustainability, FinTech and financial inclusion. European Business Organization Law Review, 21 , 7–35.

Banna, H., Mia, M. A., Nourani, M., & Yarovaya, L. (2022). Fintech-based financial inclusion and risk-taking of microfinance institutions (MFIs): Evidence from Sub-Saharan Africa. Finance Research Letters, 45 , 102149.

Ben Slimane, S., Coeurderoy, R., & Mhenni, H. (2022). Digital transformation of small and medium enterprises: A systematic literature review and an integrative framework. International Studies of Management & Organization, 52 (2), 96–120.

Bhatt, A., Joshipura, M., & Joshipura, N. (2022). Decoding the trinity of Fintech, digitalization and financial services: An integrated bibliometric analysis and thematic literature review approach. Cogent Economics & Finance, 10 (1), 2114160.

Carè, R., Boitan, I. A., & Fatima, R. (2023). How do FinTech companies contribute to the achievement of SDGs? Insights from case studies. Research in International Business and Finance, 66 , 102072.

Chinoda, T., & Mashamba, T. (2021). Fintech, financial inclusion and income inequality nexus in Africa. Cogent Economics & Finance, 9 (1), 1986926. https://doi.org/10.1080/23322039.2021.1986926

Chowdhury, E. K., & Chowdhury, R. (2023). Role of financial inclusion in human development: Evidence from Bangladesh, India and Pakistan. Journal of the Knowledge Economy , 1–26. https://doi.org/10.1007/s13132-023-01366-x

Chung, S., Kim, K., Lee, C. H., & Oh, W. (2023). Interdependence between online peer-to-peer lending and cryptocurrency markets and its effects on financial inclusion. Production and Operations Management, 32 (6), 1939–1957.

Coffie, C. P. K., & Hongjiang, Z. (2023). FinTech market development and financial inclusion in Ghana: The role of heterogeneous actors. Technological Forecasting and Social Change, 186 , 122127.

Comerio, N., & Strozzi, F. (2019). Tourism and its economic impact: A literature review using bibliometric tools. Tourism Economics, 25 (1), 109–131. https://doi.org/10.1177/1354816618793762

Danladi, S., Prasad, M. S. V., Modibbo, U. M., Ahmadi, S. A., & Ghasemi, P. (2023). Attaining Sustainable Development Goals through financial inclusion: Exploring collaborative approaches to fintech adoption in developing economies. Sustainability, 15 (17), 13039.

David-West, O., Iheanachor, N., & Umukoro, I. (2020). Sustainable business models for the creation of mobile financial services in Nigeria. Journal of Innovation & Knowledge, 5 (2), 105–116.

Di Vaio, A., Hassan, R., & Palladino, R. (2023). Blockchain technology and gender equality: A systematic literature review. International Journal of Information Management, 68 , 102517.

Dong, Y., Chung, M., Zhou, C., & Venkataraman, S. (2018). Banking on “mobile money”: The implications of mobile money services on the value chain. Manufacturing & Service Operations Management , 21(2). https://doi.org/10.1287/msom.2018.0717

Ellili, N. O. D. (2023). Is there any association between FinTech and sustainability? Evidence from bibliometric review and content analysis. Journal of Financial Services Marketing, 28 (4), 748–762.

Fu, J., & Mishra, M. (2022). Fintech in the time of COVID− 19: Technological adoption during crises. Journal of Financial Intermediation, 50 , 100945.

Gálvez-Sánchez, F. J., Lara-Rubio, J., Verdú-Jóver, A. J., & Meseguer-Sánchez, V. (2021). Research advances on financial inclusion: A bibliometric analysis. Sustainability, 13 (6), 3156.

GPFI. (2010). G20 Principles for innovative financial inclusion - executive brief. Accessed 18 November 2023. Available at: http://www.gpfi.org/publications/g20-principles-innovative-financial-inclusion-executive-brief

Gulati, A., & Singh, S. (2024). Financial self-efficacy of consumers: A review and research agenda. International Journal of Consumer Studies, 48 (2), e13024.

Gupta, S., Yun, H., Xu, H., & Kim, H. W. (2017). An exploratory study on mobile banking adoption in Indian metropolitan and urban areas: A scenario-based experiment. Information Technology for Development, 23 (1), 127–152.

Han, H., & Gu, X. (2021). Linkage between inclusive digital finance and high-tech enterprise innovation performance: Role of debt and equity financing. Frontiers in Psychology, 12 , 814408.

Hasan, M., Le, T., & Hoque, A. (2021). How does financial literacy impact on inclusive finance? Financial Innovation, 7 (1), 1–23.

Hasan, M., Noor, T., Gao, J., Usman, M., & Abedin, M. Z. (2023). Rural consumers’ financial literacy and access to FinTech services. Journal of the Knowledge Economy, 14 (2), 780–804.

Hashemizadeh, A., Ashraf, R. U., Khan, I., & Zaidi, S. A. H. (2023). Digital financial inclusion, environmental quality, and economic development: the contributions of financial development and investments in OECD countries. Environmental Science and Pollution Research, 30 (54), 116336–116347. https://doi.org/10.1007/s11356-023-30275-4

Hulland, J., & Houston, M. B. (2020). Why systematic review papers and meta-analyses matter: An introduction to the special issue on generalizations in marketing. Journal of the Academy of Marketing Science, 48 , 351–359. https://doi.org/10.1007/s11747-020-00721-7

Hwa, G. (2019). Global FinTech Adoption Index 2019. Accessed on 1 October 2023. Available at https://assets.ey.com/content/dam/ey-sites/ey-com/en_gl/topics/banking-and-capital-markets/ey-global-fintech-adoption-index.pdf

Iheanachor, N., David-West, Y., & Umukoro, I. O. (2021). Business model innovation at the bottom of the pyramid–A case of mobile money agents. Journal of Business Research, 127 , 96–107.

Karim, Z. A., Nizam, R., Law, S. H., & Hassan, M. K. (2022). Does financial inclusiveness affect economic growth? New evidence using a dynamic panel threshold regression. Finance Research Letters, 46 , 102364.

Kemal, A. A. (2019). Mobile banking in the government-to-person payment sector for financial inclusion in Pakistan. Information Technology for Development, 25 (3), 475–502.

Khando, K., Islam, M. S., & Gao, S. (2022). The emerging technologies of digital payments and associated challenges: A systematic literature review. Future Internet, 15 (1), 21.

Kim, M., Zoo, H., Lee, H., & Kang, J. (2018). Mobile financial services, financial inclusion, and development: A systematic review of academic literature. The Electronic Journal of Information Systems in Developing Countries, 84 (5), e12044.

Koomson, I., Martey, E., & Etwire, P. M. (2023). Mobile money and entrepreneurship in East Africa: The mediating roles of digital savings and access to digital credit. Information Technology & People, 36 (3), 996–1019.

Lagna, A., & Ravishankar, M. N. (2022). Making the world a better place with fintech research. Information Systems Journal, 32 (1), 61–102.

Latif, N., Safdar, N., Liaquat, M., Younas, K., Nazeer, N., & Rafeeq, R. (2023). The role of institutional quality in assessing the environmental externality of financial inclusion: A DCCE approach. Frontiers in Environmental Science, 11 , 65.

Lee, C. C., Lou, R., & Wang, F. (2023). Digital financial inclusion and poverty alleviation: Evidence from the sustainable development of China. Economic Analysis and Policy, 77 , 418–434.

Li, J., Wei, R., & Guo, Y. (2022). How can the financing constraints of SMEs be eased in China?-Effect analysis, heterogeneity test and mechanism identification based on digital inclusive finance. Frontiers in Environmental Science, 10 , 949164.

Lim, W. M., Yap, S.-F., & Makkar, M. (2021). Home sharing in marketing and tourism at a tipping point: What do we know, how do we know, and where should we be heading? Journal of Business Research, 122 (September 2020), 534–566. https://doi.org/10.1016/j.jbusres.2020.08.051

Liu, X., Zhan, F. B., Hong, S., Niu, B., & Liu, Y. (2012). A bibliometric study of earthquake research: 1900–2010. Scientometrics, 92 (3), 747–765. https://doi.org/10.1007/s11192-011-0599-z

Liu, S., Gao, L., Latif, K., Dar, A. A., Zia-UR-Rehman, M., & Baig, S. A. (2021). The behavioral role of digital economy adaptation in sustainable financial literacy and financial inclusion. Frontiers in Psychology, 12 , 742118.

Liu, A., Urquía-Grande, E., López-Sánchez, P., & Rodríguez-López, Á. (2023). Research into microfinance and ICTs: A bibliometric analysis. Evaluation and Program Planning, 97 , 102215.

Louman, B., Girolami, E. D., Shames, S., Primo, L. G., Gitz, V., Scherr, S. J., & Brady, M. (2022). Access to landscape finance for small-scale producers and local communities: A literature review. Land, 11 (9), 1444.

Mapanje, O., Karuaihe, S., Machethe, C., & Amis, M. (2023). Financing sustainable agriculture in sub-Saharan Africa: A review of the role of financial technologies. Sustainability, 15 (5), 4587.

Michael, B., Koroleska, N., Tai, A., & Wong, D. W. H. (2022). A critical look at using financial technology policy to promote the sustainable development goals. Sustainable Development, 30 (6), 1911–1920.

Mishra, V., & Bisht, S. S. (2013). Mobile banking in a developing economy: A customer-centric model for policy formulation. Telecommunications Policy, 37 (6–7), 503–514.

Morgan, P. J. (2022). Fintech and financial inclusion in Southeast Asia and India. Asian Economic Policy Review, 17 (2), 183–208.

Mpofu, F. Y. (2022). Industry 4.0 in financial services: Mobile money taxes, revenue mobilisation, financial inclusion, and the realisation of sustainable development goals (SDGs) in Africa. Sustainability, 14 (14), 8667.

N’dri, L. M., & Kakinaka, M. (2020). Financial inclusion, mobile money, and individual welfare: The case of Burkina Faso. Telecommunications Policy, 44 (3), 101926.

Niankara, I. (2023). The impact of financial inclusion on digital payment solution uptake within the Gulf Cooperation Council Economies. International Journal of Innovation Studies, 7 (1), 1–17.

Ozili, P. K. (2018). Impact of digital finance on financial inclusion and stability. Borsa Istanbul Review, 18 (4), 329–340.

Pal, A., De’, R., & Herath, T. (2020). The role of mobile payment technology in sustainable and human-centric development: Evidence from the post-demonetization period in India. Information Systems Frontiers, 22 , 607–631.

Paul, J., & Barari, M. (2022). Meta-analysis and traditional systematic literature reviews—What, why, when, where, and how? Psychology & Marketing, 39 (6), 1099–1115. https://doi.org/10.1002/mar.21657

Paul, J., & Criado, A. R. (2020). The art of writing literature review: What do we know and what do we need to know? International Business Review, 29 (4), 101717. https://doi.org/10.1016/j.ibusrev.2020.101717

Paul, J., & Rosado-Serrano, A. (2019). Gradual Internationalization vs Born-Global/International new venture models: A review and research agenda. International Marketing Review, 36 (6), 830–858. https://doi.org/10.1108/IMR-10-2018-0280

Paul, J., Lim, W. M., O’Cass, A., Hao, A. W., & Bresciani, S. (2021a). Scientific procedures and rationales for systematic literature reviews (SPAR-4-SLR). International Journal of Consumer Studies, 45 (45), 1–16. https://doi.org/10.1111/ijcs.12695

Paul, J., Merchant, A., Dwivedi, Y. K., & Rose, G. (2021b). Writing an impactful review article: What do we know and what do we need to know? Journal of Business Research, 133 , 337–340. https://doi.org/10.1016/j.jbusres.2021.05.005

Paul, J., Khatri, P., & Kaur Duggal, H. (2023). Frameworks for developing impactful systematic literature reviews and theory building: What, Why and How?. Journal of Decision Systems , 1–14. https://doi.org/10.1080/12460125.2023.2197700

Pittaway, L., Holt, R., & Broad, J. (2014). Synthesising knowledge in entrepreneurship research-The role of systematic literature reviews. In Handbook of research on small business and entrepreneurship (pp. 83–105). Edward Elgar Publishing. https://doi.org/10.4337/9781849809245.00014

Pradhan, R. P., Arvin, M. B., Nair, M. S., Hall, J. H., & Bennett, S. E. (2021). Sustainable economic development in India: The dynamics between financial inclusion, ICT development, and economic growth. Technological Forecasting and Social Change, 169 , 120758.

Puschmann, T. (2017). Fintech. Business & Information Systems Engineering, 59 , 69–76. https://doi.org/10.1007/s12599-017-0464-6

Raksmey, U., Lin, C. Y., & Kakinaka, M. (2022). Macroprudential regulation and financial inclusion: Any difference between developed and developing countries? Research in International Business and Finance, 63 , 101759.

Rohman, P. S., Fianto, B. A., Shah, S. A. A., Kayani, U. N., Suprayogi, N., & Supriani, I. (2021). A review on literature of Islamic microfinance from 2010–2020: Lesson for practitioners and future directions. Heliyon, 7 (12). https://doi.org/10.1016/j.heliyon.2021.e08549

Roy, P., & Patro, B. (2022). Financial inclusion of women and gender gap in access to finance: A systematic literature review. Vision, 26 (3), 282–299.

Sahabuddin, M., Sakib, M. N., Rahman, M. M., Jibir, A., Fahlevi, M., Aljuaid, M., & Grabowska, S. (2023). The evolution of FinTech in scientific research: A bibliometric analysis. Sustainability, 15 (9), 7176.

Schilling, L., & Seuring, S. (2023). Mobile financial service-enabled micro-businesses driving sustainable value creation in emerging markets. Technological Forecasting and Social Change, 192 , 122596.

Senyo, P. K., & Osabutey, E. L. (2020). Unearthing antecedents to financial inclusion through FinTech innovations. Technovation, 98 , 102155.

Senyo, P. K., Karanasios, S., Gozman, D., & Baba, M. (2022). FinTech ecosystem practices shaping financial inclusion: The case of mobile money in Ghana. European Journal of Information Systems, 31 (1), 112–127.

Setiawan, B., Phan, T. D., Medina, J., Wieriks, M., Nathan, R. J., & Fekete-Farkas, M. (2023). Quest for financial inclusion via digital financial services (Fintech) during COVID-19 pandemic: Case study of women in Indonesia. Journal of Financial Services Marketing , 1–15. https://doi.org/10.1057/s41264-023-00217-9

Shaikh, A. A., Glavee-Geo, R., Karjaluoto, H., & Hinson, R. E. (2023). Mobile money as a driver of digital financial inclusion. Technological Forecasting and Social Change, 186 , 122158.

Sharma, R., Kamble, S., Gupta, S., Belhadi, A., Rana, N. P., & Kumar, K. (2023). Interlinkages between digital-social entrepreneurship and technological capabilities for sustainable value creation. Journal of Global Information Management (JGIM), 31 (1), 1–26.

Siddik, A. B., Rahman, M. N., & Yong, L. (2023). Do fintech adoption and financial literacy improve corporate sustainability performance? The mediating role of access to finance. Journal of Cleaner Production , 421 , 137658. https://doi.org/10.1016/j.jclepro.2023.137658

Soetan, T. O., Mogaji, E., & Nguyen, N. P. (2021). Financial services experience and consumption in Nigeria. Journal of Services Marketing, 35 (7), 947–961.

Sultana, N., Chowdhury, R. S., & Haque, A. (2023). Gravitating towards Fintech: A study on undergraduates using extended UTAUT model. Heliyon, 9 (10). https://doi.org/10.1016/j.heliyon.2023.e2073

Tay, L. Y., Tai, H. T., & Tan, G. S. (2022). Digital financial inclusion: A gateway to sustainable development. Heliyon 8 (6). https://doi.org/10.1016/j.heliyon.2022.e09766

Tepe, G., Geyikci, U. B., & Sancak, F. M. (2021). Fintech companies: A bibliometric analysis. International Journal of Financial Studies, 10 (1), 2.

Tranfield, D., Denyer, D., & Smart, P. (2003). Towards a methodology for developing evidence-informed management knowledge by means of systematic review. British Journal of Management, 14 (3), 207–222.

Truby, J. (2020). Fintech and the city: Sandbox 2.0 policy and regulatory reform proposals. International Review of Law, Computers & Technology , 34 (3), 277–309. https://doi.org/10.1080/13600869.2018.1546542

Úbeda, F., Mendez, A., & Forcadell, F. J. (2023). The sustainable practices of multinational banks as drivers of financial inclusion in developing countries. Finance Research Letters, 51 , 103278.

UNSGSA. (2018) Igniting SDG progress through digital financial inclusion. Accessed on 7 October 2023. Available online: https://sustainabledevelopment.un.org/index.php?page=view&type=400&nr=2655&menu=1515

Vasile, V., Panait, M., & Apostu, S. A. (2021). Financial inclusion paradigm shift in the post pandemic period. Digital-divide and gender gap. International Journal of Environmental Research and Public Health, 18 (20), 10938.

Wang, L., Wu, Y., Huang, Z., & Wang, Y. (2022). How big data drives green economic development: Evidence from China. Frontiers in Environmental Science, 10 , 1055162.

Xue, L., Dong, J., & Zha, Y. (2023). How does digital finance affect firm environmental, social and governance (ESG) performance?—Evidence from Chinese listed firms. Heliyon, 9 (10). https://doi.org/10.1016/j.heliyon.2023.e20800

Yang, L., Chen, Z., Liu, T., Gong, Z., Yu, Y., & Wang, J. (2013). Global trends of solid waste research from 1997 to 2011 by using bibliometric analysis. Scientometrics, 96 (1), 133–146. https://doi.org/10.1007/s11192-012-0911-6

Zerucha, T. (2023, May 05). “ The key factors driving financial inclusion”: Fintech Nexus. Accessed on May 28, 2024. https://www.fintechnexus.com/the-key-factors-driving-financial-inclusion/

Download references

Author information

Authors and affiliations.

I.K. Gujral Punjab Technical University, Kapurthala, Punjab, India

Kriti Kishor & Sanjeev K. Bansal

Banaras Hindu University, Varanasi, India

Roshan Kumar

You can also search for this author in PubMed   Google Scholar

Contributions

All authors made contributions to the conceptualisation and design of this study. The authors collaborated as a team to carry out material preparation, SLR data collection, and analysis. The initial version of the paper had been written by the collective team of authors, who actively engaged in providing feedback. The final manuscript was read and approved by every author.

Corresponding author

Correspondence to Kriti Kishor .

Ethics declarations

Conflict of interest.

The authors declare no competing interests.

Additional information

Publisher's note.

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Kishor, K., Bansal, S.K. & Kumar, R. The Role of Fintech in Promoting Financial Inclusion to Achieve Sustainable Development: An Integrated Bibliometric Analysis and Systematic Literature Review. J Knowl Econ (2024). https://doi.org/10.1007/s13132-024-02168-5

Download citation

Received : 03 April 2024

Accepted : 14 June 2024

Published : 03 July 2024

DOI : https://doi.org/10.1007/s13132-024-02168-5

Share this article

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

• Financial Inclusion
• Sustainability
• Bibliometric
• Systematic Literature Review
• Find a journal
• Publish with us
• Track your research

Information

• Author Services

Initiatives

You are accessing a machine-readable page. In order to be human-readable, please install an RSS reader.

All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess .

Feature papers represent the most advanced research with significant potential for high impact in the field. A Feature Paper should be a substantial original Article that involves several techniques or approaches, provides an outlook for future research directions and describes possible research applications.

Feature papers are submitted upon individual invitation or recommendation by the scientific editors and must receive positive feedback from the reviewers.

Editor’s Choice articles are based on recommendations by the scientific editors of MDPI journals from around the world. Editors select a small number of articles recently published in the journal that they believe will be particularly interesting to readers, or important in the respective research area. The aim is to provide a snapshot of some of the most exciting work published in the various research areas of the journal.

Original Submission Date Received: .

• Active Journals
• Find a Journal
• Proceedings Series
• For Authors
• For Reviewers
• For Editors
• For Librarians
• For Publishers
• For Societies
• For Conference Organizers
• Open Access Policy
• Institutional Open Access Program
• Special Issues Guidelines
• Editorial Process
• Research and Publication Ethics
• Article Processing Charges
• Testimonials
• Preprints.org
• SciProfiles
• Encyclopedia

Article Menu

• Subscribe SciFeed
• Recommended Articles
• Google Scholar
• on Google Scholar
• Table of Contents

Find support for a specific problem in the support section of our website.

Please let us know what you think of our products and services.

Visit our dedicated information section to learn more about MDPI.

JSmol Viewer

Alzheimer’s disease and epilepsy: exploring shared pathways and promising biomarkers for future treatments.

1. Introduction

2. materials and methods, 3.1. epidemiological data describing the comorbidity of alzheimer’s disease and epilepsy, 3.2. risk factors implicated in both alzheimer’s disease and epilepsy, 3.2.1. shared risk factors between alzheimer’s disease and epilepsy, 3.2.2. risk factors for epilepsy in individuals with alzheimer’s disease, 3.2.3. risk factors for dementia in epileptic patients, 3.3. shared pathogenetic mechanisms between alzheimer’s disease and epilepsy, 3.3.1. amyloid-β, 3.3.2. hyperphosphorylated tau protein, 3.3.3. glutamate, 3.3.4. gamma-aminobutyric acid, 3.3.5. neuroinflammation, 3.3.6. acetylcholine—noradrenaline—serotonin activity, 3.3.7. voltage-gated ion channels, 3.3.8. mitochondria–endoplasmic reticulum stress, 3.3.9. astrocytes, 3.3.10. beta-secretase 1, 3.3.11. mechanistic target of rapamycin, 3.3.12. triggering receptor expressed on myeloid cells, 3.3.13. α-synuclein, 3.3.14. neural network, 3.3.15. the role of sleep, 3.3.16. others, 3.4. seizure types, 3.5. electroencephalography, 3.6. biomarkers, 3.6.1. cerebrospinal fluid biomarkers, 3.6.2. neuroimaging findings, 3.6.3. cognitive testing, 3.6.4. genetic associations, 3.6.5. electroencephalographic markers, 3.7. therapy, 4. discussion, conflicts of interest, abbreviations.

• World Health Organization. Dementia 2023. (Updated 15 March 2023). Available online: https://www.who.int/news-room/fact-sheets/detail/dementia (accessed on 30 May 2024).
• Centers for Disease Control and Prevention. A Public Health Approach to Alzheimer’s and Other Dementias. 2019. Available online: https://www.cdc.gov/aging/services/pdf/Public-Health-Approach-to-Alzheimers-and-Other-Dementias-complete-course-508.pdf (accessed on 30 May 2024).
• World Health Organization. Epilepsy: A Public Health Imperative ; World Health Organization: Geneva, Switzerland, 2019. [ Google Scholar ]
• Vicente, M.; Addo-Osafo, K.; Vossel, K. Latest advances in mechanisms of epileptic activity in Alzheimer’s disease and dementia with Lewy Bodies. Front. Neurol. 2024 , 15 , 1277613. [ Google Scholar ] [ CrossRef ]
• Lee, D.A.; Lee, H.J.; Kim, S.E.; Park, K.M. Brain networks and epilepsy development in patients with Alzheimer disease. Brain Behav. 2023 , 13 , e3152. [ Google Scholar ] [ CrossRef ]
• Helmstaedter, C.; Lutz, T.; Wolf, V.; Witt, J.A. Prevalence of dementia in a level 4 university epilepsy center: How big is the problem? Front. Neurol. 2023 , 14 , 1217594. [ Google Scholar ] [ CrossRef ]
• Hickman, L.B.; Stern, J.M.; Silverman, D.H.S.; Salamon, N.; Vossel, K. Clinical, imaging, and biomarker evidence of amyloid- and tau-related neurodegeneration in late-onset epilepsy of unknown etiology. Front. Neurol. 2023 , 14 , 1241638. [ Google Scholar ] [ CrossRef ]
• Tan, Z.; Wang, F.Y.; Wu, W.P.; Yu, L.Z.; Wu, J.C.; Wang, L. Bidirectional relationship between late-onset epilepsy (LOE) and dementia: A systematic review and meta-analysis of cohort studies. Epilepsy Behav. 2024 , 153 , 109723. [ Google Scholar ] [ CrossRef ]
• Zhang, D.; Chen, S.; Xu, S.; Wu, J.; Zhuang, Y.; Cao, W.; Chen, X.; Li, X. The clinical correlation between Alzheimer’s disease and epilepsy. Front. Neurol. 2022 , 13 , 922535. [ Google Scholar ] [ CrossRef ]
• Zhao, N.; Chen, H.; Zhang, W.; Yao, J.; Tu, Q.; Yu, X.; Sun, X. Bidirectional influences between seizures and dementia: A systematic review and meta-analysis. Int. J. Geriatr. Psychiatry 2022 , 37 . [ Google Scholar ] [ CrossRef ]
• Yang, F.; Chen, L.; Yu, Y.; Xu, T.; Chen, L.; Yang, W.; Wu, Q.; Han, Y. Alzheimer’s disease and epilepsy: An increasingly recognized comorbidity. Front. Aging Neurosci. 2022 , 14 , 940515. [ Google Scholar ] [ CrossRef ]
• Chen, L.; Yang, W.; Yang, F.; Yu, Y.; Xu, T.; Wang, D.; Zhao, Q.; Wu, Q.; Han, Y. The crosstalk between epilepsy and dementia: A systematic review and meta-analysis. Epilepsy Behav. 2024 , 152 , 109640. [ Google Scholar ] [ CrossRef ]
• Nous, A.; Seynaeve, L.; Feys, O.; Wens, V.; De Tiège, X.; Van Mierlo, P.; Baroumand, A.G.; Nieboer, K.; Allemeersch, G.J.; Mangelschots, S.; et al. Subclinical epileptiform activity in the Alzheimer continuum: Association with disease, cognition and detection method. Alzheimers Res. Ther. 2024 , 16 , 19. [ Google Scholar ] [ CrossRef ]
• Lee, H.C.; Kim, B.K.; Kang, K.; Lee, W.W.; Yoo, I.; Kim, Y.S.; Lee, J.J. Aphasic Status Epilepticus Associated with Alzheimer’s Disease: Clinical and Electrographic Characteristics. J. Epilepsy Res. 2023 , 13 , 55–58. [ Google Scholar ] [ CrossRef ]
• Lu, O.; Kouser, T.; Skylar-Scott, I.A. Alzheimer’s disease and epilepsy: Shared neuropathology guides current and future treatment strategies. Front. Neurol. 2023 , 14 , 1241339. [ Google Scholar ] [ CrossRef ]
• Dun, C.; Zhang, Y.; Yin, J.; Su, B.; Peng, X.; Liu, L. Bi-directional associations of epilepsy with dementia and Alzheimer’s disease: A systematic review and meta-analysis of longitudinal studies. Age Ageing 2022 , 51 , afac010. [ Google Scholar ] [ CrossRef ]
• Zheng, S.F.; Hu, J.J.; Zhang, Y.B.; Chen, G.R.; Lin, Y.X.; Kang, D.Z.; Lin, Z.Y.; Yao, P.S. Lack of causal association between epilepsy and dementia: A Mendelian randomization analysis. Epilepsy Behav. 2024 , 150 , 109570. [ Google Scholar ] [ CrossRef ]
• Kawakami, O.; Koike, Y.; Ando, T.; Sugiura, M.; Kato, H.; Hiraga, K.; Kito, H.; Kondo, H. Incidence of dementia in patients with adult-onset epilepsy of unknown causes. J. Neurol. Sci. 2018 , 395 , 71–76. [ Google Scholar ] [ CrossRef ]
• Del Pozo, A.; Knox, K.M.; Lehmann, L.M.; Davidson, S.; Rho, S.L.; Jayadev, S.; Barker-Haliski, M. Chronic evoked seizures in young pre-symptomatic APP/PS1 mice induce serotonin changes and accelerate onset of Alzheimer’s disease-related neuropathology. Prog. Neurobiol. 2024 , 235 , 102591. [ Google Scholar ] [ CrossRef ]
• Haoudy, S.; Jonveaux, T.; Puisieux, S.; Epstein, J.; Hopes, L.; Maillard, L.; Aron, O.; Tyvaert, L. Epilepsy in Early Onset Alzheimer’s Disease. J. Alzheimers Dis. 2022 , 85 , 615–626. [ Google Scholar ] [ CrossRef ]
• Cano, A.; Fonseca, E.; Ettcheto, M.; Sánchez-López, E.; de Rojas, I.; Alonso-Lana, S.; Morató, X.; Souto, E.B.; Toledo, M.; Boada, M.; et al. Epilepsy in Neurodegenerative Diseases: Related Drugs and Molecular Pathways. Pharmaceuticals 2021 , 14 , 1057. [ Google Scholar ] [ CrossRef ]
• Ciliento, R.; Gjini, K.; Dabbs, K.; Hermann, B.; Riedner, B.; Jones, S.; Fatima, S.; Johnson, S.; Bendlin, B.; Lam, A.D.; et al. Prevalence and localization of nocturnal epileptiform discharges in mild cognitive impairment. Brain Commun. 2023 , 5 , fcad302. [ Google Scholar ] [ CrossRef ]
• Vöglein, J.; Noachtar, S.; McDade, E.; Quaid, K.A.; Salloway, S.; Ghetti, B.; Noble, J.; Berman, S.; Chhatwal, J.; Mori, H.; et al. Seizures as an early symptom of autosomal dominant Alzheimer’s disease. Neurobiol. Aging 2019 , 76 , 18–23. [ Google Scholar ] [ CrossRef ]
• Cortini, F.; Cantoni, C.; Villa, C. Epileptic seizures in autosomal dominant forms of Alzheimer’s disease. Seizure—Eur. J. Epilepsy 2018 , 61 , 4–7. [ Google Scholar ] [ CrossRef ]
• Nagino, N.; Kubota, Y.; Nakamoto, H.; Miyao, S.; Kodama, T.; Ito, S.; Oguni, H.; Chernov, M. Non-lesional late-onset epilepsy in the elderly Japanese patients: Presenting characteristics and seizure outcomes with regard to comorbid dementia. J. Clin. Neurosci. 2022 , 103 , 100–106. [ Google Scholar ] [ CrossRef ]
• Leitner, D.F.; Kanshin, E.; Faustin, A.; Thierry, M.; Friedman, D.; Devore, S.; Ueberheide, B.; Devinsky, O.; Wisniewski, T. Localized proteomic differences in the choroid plexus of Alzheimer’s disease and epilepsy patients. Front. Neurol. 2023 , 14 , 1221775. [ Google Scholar ] [ CrossRef ]
• Altuna, M.; Olmedo-Saura, G.; Carmona-Iragui, M.; Fortea, J. Mechanisms Involved in Epileptogenesis in Alzheimer’s Disease and Their Therapeutic Implications. Int. J. Mol. Sci. 2022 , 23 , 4307. [ Google Scholar ] [ CrossRef ]
• Kazim, S.F.; Seo, J.H.; Bianchi, R.; Larson, C.S.; Sharma, A.; Wong, R.K.S.; Gorbachev, K.Y.; Pereira, A.C. Neuronal Network Excitability in Alzheimer’s Disease: The Puzzle of Similar versus Divergent Roles of Amyloid β and Tau. eNeuro 2021 , 8 , 1–35. [ Google Scholar ] [ CrossRef ]
• Csernus, E.A.; Werber, T.; Kamondi, A.; Horvath, A.A. The Significance of Subclinical Epileptiform Activity in Alzheimer’s Disease: A Review. Front. Neurol. 2022 , 13 , 856500. [ Google Scholar ] [ CrossRef ]
• Horvath, A.A.; Papp, A.; Zsuffa, J.; Szucs, A.; Luckl, J.; Radai, F.; Nagy, F.; Hidasi, Z.; Csukly, G.; Barcs, G.; et al. Subclinical epileptiform activity accelerates the progression of Alzheimer’s disease: A long-term EEG study. Clin. Neurophysiol. 2021 , 132 , 1982–1989. [ Google Scholar ] [ CrossRef ]
• Yeh, W.-C.; Hsu, C.-Y.; Li, K.-Y.; Chien, C.-F.; Huang, L.-C.; Yang, Y.-H. Association between Subclinical Epileptiform Discharge and the Severity of Cognitive Decline in Alzheimer’s Disease: A Longitudinal Cohort Study. J. Alzheimer’s Dis. 2022 , 90 , 305–312. [ Google Scholar ] [ CrossRef ]
• Devulder, A.; Macea, J.; Kalkanis, A.; De Winter, F.L.; Vandenbulcke, M.; Vandenberghe, R.; Testelmans, D.; Van Den Bossche, M.J.A.; Van Paesschen, W. Subclinical epileptiform activity and sleep disturbances in Alzheimer’s disease. Brain Behav. 2023 , 13 , e3306. [ Google Scholar ] [ CrossRef ]
• Baker, J.; Libretto, T.; Henley, W.; Zeman, A. A Longitudinal Study of Epileptic Seizures in Alzheimer’s Disease. Front. Neurol. 2019 , 10 , 1266. [ Google Scholar ] [ CrossRef ]
• Lehmann, L.; Lo, A.; Knox, K.M.; Barker-Haliski, M. Alzheimer’s Disease and Epilepsy: A Perspective on the Opportunities for Overlapping Therapeutic Innovation. Neurochem. Res. 2021 , 46 , 1895–1912. [ Google Scholar ] [ CrossRef ]
• Das, M.; Mao, W.; Voskobiynyk, Y.; Necula, D.; Lew, I.; Petersen, C.; Zahn, A.; Yu, G.Q.; Yu, X.; Smith, N.; et al. Alzheimer risk-increasing TREM2 variant causes aberrant cortical synapse density and promotes network hyperexcitability in mouse models. Neurobiol. Dis. 2023 , 186 , 106263. [ Google Scholar ] [ CrossRef ]
• Fu, M.; Tran, T.; Eskin, E.; Lajonchere, C.; Pasaniuc, B.; Geschwind, D.H.; Vossel, K.; Chang, T.S. Multi-class Modeling Identifies Shared Genetic Risk for Late-onset Epilepsy and Alzheimer’s Disease. medRxiv 2024 . [ Google Scholar ] [ CrossRef ]
• Wijaya, A.; Setiawan, N.A.; Ahmad, A.H.; Zakaria, R.; Othman, Z. Electroencephalography and mild cognitive impairment research: A scoping review and bibliometric analysis (ScoRBA). AIMS Neurosci. 2023 , 10 , 154–171. [ Google Scholar ] [ CrossRef ]
• Lyou, H.J.; Seo, K.D.; Lee, J.E.; Pak, H.Y.; Lee, J.H. Association of Alzheimer’s Disease with the Risk of Developing Epilepsy: A 10-Year Nationwide Cohort Study. Dement. Neurocogn Disord. 2018 , 17 , 156–162. [ Google Scholar ] [ CrossRef ]
• Lamoureux, L.; Marottoli, F.M.; Tseng, K.Y.; Tai, L.M. APOE4 Promotes Tonic-Clonic Seizures, an Effect Modified by Familial Alzheimer’s Disease Mutations. Front. Cell Dev. Biol. 2021 , 9 , 656521. [ Google Scholar ] [ CrossRef ]
• Keret, O.; Hoang, T.D.; Xia, F.; Rosen, H.J.; Yaffe, K. Association of Late-Onset Unprovoked Seizures of Unknown Etiology with the Risk of Developing Dementia in Older Veterans. JAMA Neurol. 2020 , 77 , 710–715. [ Google Scholar ] [ CrossRef ]
• Cretin, B.; Bousiges, O.; Hautecloque, G.; Philippi, N.; Blanc, F.; Dibitonto, L.; Martin-Hunyadi, C.; Sellal, F. CSF in Epileptic Prodromal Alzheimer’s Disease: No Diagnostic Contribution but a Pathophysiological One. Front. Neurol. 2021 , 12 , 623777. [ Google Scholar ] [ CrossRef ]
• Powell, G.; Ziso, B.; Larner, A.J. The overlap between epilepsy and Alzheimer’s disease and the consequences for treatment. Expert. Rev. Neurother. 2019 , 19 , 653–661. [ Google Scholar ] [ CrossRef ]
• Emsley, H.C.A.; Parkes, L.M. Seizures in the context of occult cerebrovascular disease. Epilepsy Behav. 2020 , 104 Pt B , 106396. [ Google Scholar ] [ CrossRef ]
• Turon, M.; Abraira, L.; Cazorla, S.; Fonseca, E.; Quintana, M.; Toledo, M.; Salas-Puig, X.; Santamarina, E. Vascular risk factors as independent predictors of neurocognitive impairments in patients with late-onset epilepsy who have small-vessel disease. Epilepsy Behav. 2020 , 104 Pt B , 106443. [ Google Scholar ] [ CrossRef ]
• Huang, L.; Fu, C.; Li, J.; Peng, S. Late-onset epilepsy and the risk of dementia: A systematic review and meta-analysis. Aging Clin. Exp. Res. 2022 , 34 , 1771–1779. [ Google Scholar ] [ CrossRef ]
• Milikovsky, D.Z.; Ofer, J.; Senatorov, V.V.; Friedman, A.R.; Prager, O.; Sheintuch, L.; Elazari, N.; Veksler, R.; Zelig, D.; Weissberg, I.; et al. Paroxysmal slow cortical activity in Alzheimer’s disease and epilepsy is associated with blood-brain barrier dysfunction. Sci. Transl. Med. 2019 , 11 , eaaw8954. [ Google Scholar ] [ CrossRef ]
• Sen, A.; Capelli, V.; Husain, M. Cognition and dementia in older patients with epilepsy. Brain 2018 , 141 , 1592–1608. [ Google Scholar ] [ CrossRef ]
• Paudel, Y.N.; Angelopoulou, E.; Jones, N.C.; O’Brien, T.J.; Kwan, P.; Piperi, C.; Othman, I.; Shaikh, M.F. Tau Related Pathways as a Connecting Link between Epilepsy and Alzheimer’s Disease. ACS Chem. Neurosci. 2019 , 10 , 4199–4212. [ Google Scholar ] [ CrossRef ]
• Xu, Y.; Lavrencic, L.; Radford, K.; Booth, A.; Yoshimura, S.; Anstey, K.J.; Anderson, C.S.; Peters, R. Systematic review of coexistent epileptic seizures and Alzheimer’s disease: Incidence and prevalence. J. Am. Geriatr. Soc. 2021 , 69 , 2011–2020. [ Google Scholar ] [ CrossRef ]
• Asadollahi, M.; Atazadeh, M.; Noroozian, M. Seizure in Alzheimer’s Disease: An Underestimated Phenomenon. Am. J. Alzheimer’s Dis. Other Dement. 2018 , 34 , 81–88. [ Google Scholar ] [ CrossRef ]
• Horváth, A.; Szűcs, A.; Hidasi, Z.; Csukly, G.; Barcs, G.; Kamondi, A. Prevalence, Semiology, and Risk Factors of Epilepsy in Alzheimer’s Disease: An Ambulatory EEG Study. J. Alzheimer’s Dis. 2018 , 63 , 1045–1054. [ Google Scholar ] [ CrossRef ]
• Tábuas-Pereira, M.; Durães, J.; Lopes, J.; Sales, F.; Bento, C.; Duro, D.; Santiago, B.; Almeida, M.R.; Leitão, M.J.; Baldeiras, I.; et al. Increased CSF tau is associated with a higher risk of seizures in patients with Alzheimer’s disease. Epilepsy Behav. 2019 , 98 , 207–209. [ Google Scholar ] [ CrossRef ]
• Tai, X.Y.; Torzillo, E.; Lyall, D.M.; Manohar, S.; Husain, M.; Sen, A. Association of Dementia Risk With Focal Epilepsy and Modifiable Cardiovascular Risk Factors. JAMA Neurol. 2023 , 80 , 445–454. [ Google Scholar ] [ CrossRef ]
• Hernández, G.; Sala-Padró, J.; Adell, V.; Rico, I.; Gasa-Roqué, A.; Morandeira, F.; Campdelacreu, J.; Gascon, J.; Falip, M. Cognitive decline in adult-onset temporal lobe epilepsy: Insights from aetiology. Clin. Neurol. Neurosurg. 2024 , 237 , 108159. [ Google Scholar ] [ CrossRef ]
• Tsai, Z.R.; Zhang, H.W.; Tseng, C.H.; Peng, H.C.; Kok, V.C.; Li, G.P.; Hsiung, C.A.; Hsu, C.Y. Late-onset epilepsy and subsequent increased risk of dementia. Aging 2021 , 13 , 3573–3587. [ Google Scholar ] [ CrossRef ]
• Xu, L.; Wang, Q. The bidirectional relationship between Alzheimer’s disease (AD) and epilepsy: A Mendelian randomization study. Brain Behav. 2023 , 13 , e3221. [ Google Scholar ] [ CrossRef ]
• Mao, R.; Hu, M.; Liu, X.; Ye, L.; Xu, B.; Sun, M.; Xu, S.; Shao, W.; Tan, Y.; Xu, Y.; et al. Impairments of GABAergic transmission in hippocampus mediate increased susceptibility of epilepsy in the early stage of Alzheimer’s disease. Cell Commun. Signal 2024 , 22 , 147. [ Google Scholar ] [ CrossRef ]
• Martin, S.P.; Leeman-Markowski, B.A. Proposed mechanisms of tau: Relationships to traumatic brain injury, Alzheimer’s disease, and epilepsy. Front. Neurol. 2023 , 14 , 1287545. [ Google Scholar ] [ CrossRef ]
• Leitner, D.; Pires, G.; Kavanagh, T.; Kanshin, E.; Askenazi, M.; Ueberheide, B.; Devinsky, O.; Wisniewski, T.; Drummond, E. Similar brain proteomic signatures in Alzheimer’s disease and epilepsy. Acta Neuropathol. 2024 , 147 , 27. [ Google Scholar ] [ CrossRef ]
• Szabo, A.B.; Cretin, B.; Gérard, F.; Curot, J.; Barbeau, E.J.; Pariente, J.; Dahan, L.; Valton, L. Sleep: The Tip of the Iceberg in the Bidirectional Link Between Alzheimer’s Disease and Epilepsy. Front. Neurol. 2022 , 13 , 836292. [ Google Scholar ] [ CrossRef ]
• Hector, A.; Brouillette, J. Hyperactivity Induced by Soluble Amyloid-β Oligomers in the Early Stages of Alzheimer’s Disease. Front. Mol. Neurosci. 2020 , 13 , 600084. [ Google Scholar ] [ CrossRef ]
• Bosco, F.; Guarnieri, L.; Rania, V.; Palma, E.; Citraro, R.; Corasaniti, M.T.; Leo, A.; De Sarro, G. Antiseizure Medications in Alzheimer’s Disease from Preclinical to Clinical Evidence. Int. J. Mol. Sci. 2023 , 24 , 2639. [ Google Scholar ] [ CrossRef ]
• Lemus, H.N.; Sarkis, R.A. Interictal epileptiform discharges in Alzheimer’s disease: Prevalence, relevance, and controversies. Front. Neurol. 2023 , 14 , 1261136. [ Google Scholar ] [ CrossRef ]
• Toral-Rios, D.; Pichardo-Rojas, P.S.; Alonso-Vanegas, M.; Campos-Peña, V. GSK3β and Tau Protein in Alzheimer’s Disease and Epilepsy. Front. Cell Neurosci. 2020 , 14 , 19. [ Google Scholar ] [ CrossRef ]
• Sarkis, R.A.; Willment, K.C.; Pennell, P.B.; Marshall, G. Late-onset unexplained epilepsy: What are we missing? Epilepsy Behav. 2019 , 99 , 106478. [ Google Scholar ] [ CrossRef ]
• Leo, A.; Tallarico, M.; Sciaccaluga, M.; Citraro, R.; Costa, C. Epilepsy and Alzheimer’s Disease: Current Concepts and Treatment Perspective on Two Closely Related Pathologies. Curr. Neuropharmacol. 2022 , 20 , 2029–2033. [ Google Scholar ]
• Yook, Y.; Lee, K.Y.; Kim, E.; Lizarazo, S.; Yu, X.; Tsai, N.P. Hyperfunction of post-synaptic density protein 95 promotes seizure response in early-stage aβ pathology. EMBO Rep. 2024 , 25 , 1233–1255. [ Google Scholar ] [ CrossRef ]
• Banote, R.K.; Håkansson, S.; Zetterberg, H.; Zelano, J. CSF biomarkers in patients with epilepsy in Alzheimer’s disease: A nation-wide study. Brain Commun. 2022 , 4 , fcac210. [ Google Scholar ] [ CrossRef ]
• Zawar, I.; Kapur, J. Does Alzheimer’s disease with mesial temporal lobe epilepsy represent a distinct disease subtype? Alzheimers Dement. 2023 , 19 , 2697–2706. [ Google Scholar ] [ CrossRef ]
• Silva, J.C.; Vivash, L.; Malpas, C.B.; Hao, Y.; McLean, C.; Chen, Z.; O’Brien, T.J.; Jones, N.C.; Kwan, P. Low prevalence of amyloid and tau pathology in drug-resistant temporal lobe epilepsy. Epilepsia 2021 , 62 , 3058–3067. [ Google Scholar ] [ CrossRef ]
• Carello-Collar, G.; Bellaver, B.; Ferreira, P.C.L.; Ferrari-Souza, J.P.; Ramos, V.G.; Therriault, J.; Tissot, C.; De Bastiani, M.A.; Soares, C.; Pascoal, T.A.; et al. The GABAergic system in Alzheimer’s disease: A systematic review with meta-analysis. Mol. Psychiatry 2023 , 28 , 5025–5036. [ Google Scholar ] [ CrossRef ]
• Tang, T.; Li, X.; Yu, E.; Li, M.; Pan, X. Identification of common core ion channel genes in epilepsy and Alzheimer’s disease. Ir. J. Med. Sci. 2024 , 193 , 417–424. [ Google Scholar ] [ CrossRef ]
• Liew, Y.; Retinasamy, T.; Arulsamy, A.; Ali, I.; Jones, N.C.; O’Brien, T.J.; Shaikh, M.F. Neuroinflammation: A Common Pathway in Alzheimer’s Disease and Epilepsy. J. Alzheimers Dis. 2023 , 94 , S253–s265. [ Google Scholar ] [ CrossRef ]
• Zheng, X.Y.; Zhang, H.C.; Lv, Y.D.; Jin, F.Y.; Wu, X.J.; Zhu, J.; Ruan, Y. Levetiracetam alleviates cognitive decline in Alzheimer’s disease animal model by ameliorating the dysfunction of the neuronal network. Front. Aging Neurosci. 2022 , 14 , 888784. [ Google Scholar ] [ CrossRef ]
• Chen, Z.R.; Huang, J.B.; Yang, S.L.; Hong, F.F. Role of Cholinergic Signaling in Alzheimer’s Disease. Molecules 2022 , 27 , 1816. [ Google Scholar ] [ CrossRef ]
• Wang, Y.; Tan, B.; Wang, Y.; Chen, Z. Cholinergic Signaling, Neural Excitability, and Epilepsy. Molecules 2021 , 26 , 2258. [ Google Scholar ] [ CrossRef ]
• Giorgi, F.S.; Saccaro, L.F.; Busceti, C.L.; Biagioni, F.; Fornai, F. Epilepsy and Alzheimer’s Disease: Potential mechanisms for an association. Brain Res. Bull. 2020 , 160 , 107–120. [ Google Scholar ] [ CrossRef ]
• Yun, H.M.; Park, K.R.; Kim, E.C.; Kim, S.; Hong, J.T. Serotonin 6 receptor controls Alzheimer’s disease and depression. Oncotarget 2015 , 6 , 26716–26728. [ Google Scholar ] [ CrossRef ]
• Tian, J.; Du, E.; Guo, L. Mitochondrial Interaction with Serotonin in Neurobiology and Its Implication in Alzheimer’s Disease. J. Alzheimers Dis. Rep. 2023 , 7 , 1165–1177. [ Google Scholar ] [ CrossRef ]
• Acquarone, E.; Argyrousi, E.K.; Arancio, O.; Watterson, D.M.; Roy, S.M. The 5HT2b Receptor in Alzheimer’s Disease: Increased Levels in Patient Brains and Antagonist Attenuation of Amyloid and Tau Induced Dysfunction. J. Alzheimers Dis. 2024 , 98 , 1349–1360. [ Google Scholar ] [ CrossRef ]
• Eremin, D.V.; Kondaurova, E.M.; Rodnyy, A.Y.; Molobekova, C.A.; Kudlay, D.A.; Naumenko, V.S. Serotonin Receptors as a Potential Target in the Treatment of Alzheimer’s Disease. Biochemistry 2023 , 88 , 2023–2042. [ Google Scholar ]
• Sayahi, Z.; Komaki, A.; Saidi Jam, M.; Karimi, S.A.; Raoufi, S.; Mardani, P.; Naderishahab, M.; Sarihi, A.; Mirnajafi-Zadeh, J. Effect of ramosetron, a 5-HT(3) receptor antagonist on the severity of seizures and memory impairment in electrical amygdala kindled rats. J. Physiol. Sci. 2022 , 72 , 1. [ Google Scholar ] [ CrossRef ]
• Cai, L.; Xu, Z.; Luo, H.; He, Q.; Diao, L.; Gui, X.; Wei, L. The association between 5-HT1A binding and temporal lobe epilepsy: A meta-analysis of molecular imaging studies. Epilepsy Behav. 2023 , 145 , 109354. [ Google Scholar ] [ CrossRef ]
• Rizzello, E.; Pimpinella, D.; Pignataro, A.; Titta, G.; Merenda, E.; Saviana, M.; Porcheddu, G.F.; Paolantoni, C.; Malerba, F.; Giorgi, C.; et al. Lamotrigine rescues neuronal alterations and prevents seizure-induced memory decline in an Alzheimer’s disease mouse model. Neurobiol. Dis. 2023 , 181 , 106106. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Kang, J.Q. Epileptic Mechanisms Shared by Alzheimer’s Disease: Viewed via the Unique Lens of Genetic Epilepsy. Int. J. Mol. Sci. 2021 , 22 , 7133. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Bosco, D.B.; Kremen, V.; Haruwaka, K.; Zhao, S.; Wang, L.; Ebner, B.A.; Zheng, J.; Dheer, A.; Perry, J.F.; Xie, M.; et al. Impaired microglial phagocytosis promotes seizure development. bioRxiv 2024 . [ Google Scholar ] [ CrossRef ]
• Tosun, D.; Hausle, Z.; Iwaki, H.; Thropp, P.; Lamoureux, J.; Lee, E.B.; MacLeod, K.; McEvoy, S.; Nalls, M.; Perrin, R.J.; et al. A cross-sectional study of α-synuclein seed amplification assay in Alzheimer’s disease neuroimaging initiative: Prevalence and associations with Alzheimer’s disease biomarkers and cognitive function. Alzheimers Dement. 2024 . [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Horvath, A.A.; Csernus, E.A.; Lality, S.; Kaminski, R.M.; Kamondi, A. Inhibiting Epileptiform Activity in Cognitive Disorders: Possibilities for a Novel Therapeutic Approach. Front. Neurosci. 2020 , 14 , 557416. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Hanke, J.M.; Schindler, K.A.; Seiler, A. On the relationships between epilepsy, sleep, and Alzheimer’s disease: A narrative review. Epilepsy Behav. 2022 , 129 , 108609. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Sánchez, M.P.; García-Cabrero, A.M.; Sánchez-Elexpuru, G.; Burgos, D.F.; Serratosa, J.M. Tau-Induced Pathology in Epilepsy and Dementia: Notions from Patients and Animal Models. Int. J. Mol. Sci. 2018 , 19 , 1092. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Fang, Y.; Si, X.; Wang, J.; Wang, Z.; Chen, Y.; Liu, Y.; Yan, Y.; Tian, J.; Zhang, B.; Pu, J. Alzheimer Disease and Epilepsy: A Mendelian Randomization Study. Neurology 2023 , 101 , e399–e409. [ Google Scholar ] [ CrossRef ]
• Rey, C.; Cattaud, V.; Rampon, C.; Verret, L. What’s New on Alzheimer’s Disease? Insights From AD Mouse Models ; Elsevier: Amsterdam, The Netherlands, 2019. [ Google Scholar ]
• Song, S.; Chen, J.; Xiao, P.; Duan, H.; Zhou, Y.; Wang, F.; Wang, H.; Zhao, Y.; Geng, Z. Role of Macrophages in Status Epilepticus Predisposing to Alzheimer’s Disease. J. Alzheimers Dis. 2020 , 73 , 375–382. [ Google Scholar ] [ CrossRef ]
• Lin, R.; Jones, N.C.; Kwan, P. Unravelling the Role of Glycogen Synthase Kinase-3 in Alzheimer’s Disease-Related Epileptic Seizures. Int. J. Mol. Sci. 2020 , 21 , 3676. [ Google Scholar ] [ CrossRef ]
• Jiang, X.; Lu, H.; Liu, W.; Wu, Z.; Wu, Q.; Li, X.; Xu, Z.; Hui, F.; Zhao, Q. The overlap between Alzheimer’s disease and epilepsy uncovered by transcriptome sequencing. Clin. Transl. Med. 2020 , 10 , e169. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Fu, C.H.; Iascone, D.M.; Petrof, I.; Hazra, A.; Zhang, X.; Pyfer, M.S.; Tosi, U.; Corbett, B.F.; Cai, J.; Lee, J.; et al. Early Seizure Activity Accelerates Depletion of Hippocampal Neural Stem Cells and Impairs Spatial Discrimination in an Alzheimer’s Disease Model. Cell Rep. 2019 , 27 , 3741–3751.e4. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Lehmann, L.M.; Barker-Haliski, M. Loss of normal Alzheimer’s disease-associated Presenilin 2 function alters antiseizure medicine potency and tolerability in the 6-Hz focal seizure model. Front. Neurol. 2023 , 14 , 1223472. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Cope, Z.A.; Murai, T.; Sukoff Rizzo, S.J. Emerging Electroencephalographic Biomarkers to Improve Preclinical to Clinical Translation in Alzheimer’s Disease. Front. Aging Neurosci. 2022 , 14 , 805063. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Yu, T.; Liu, X.; Wu, J.; Wang, Q. Electrophysiological Biomarkers of Epileptogenicity in Alzheimer’s Disease. Front. Hum. Neurosci. 2021 , 15 , 747077. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Lam, A.D.; Sarkis, R.A.; Pellerin, K.R.; Jing, J.; Dworetzky, B.A.; Hoch, D.B.; Jacobs, C.S.; Lee, J.W.; Weisholtz, D.S.; Zepeda, R.; et al. Association of epileptiform abnormalities and seizures in Alzheimer disease. Neurology 2020 , 95 , e2259–e2270. [ Google Scholar ] [ CrossRef ]
• Musaeus, C.S.; Frederiksen, K.S.; Andersen, B.B.; Høgh, P.; Kidmose, P.; Fabricius, M.; Hribljan, M.C.; Hemmsen, M.C.; Rank, M.L.; Waldemar, G.; et al. Detection of subclinical epileptiform discharges in Alzheimer’s disease using long-term outpatient EEG monitoring. Neurobiol. Dis. 2023 , 183 , 106149. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Johnson, E.L.; Sullivan, K.J.; Schneider, A.L.C.; Simino, J.; Mosley, T.H.; Kucharska-Newton, A.; Knopman, D.S.; Gottesman, R.F. Association of Plasma Aβ(42)/Aβ(40) Ratio and Late-Onset Epilepsy: Results From the Atherosclerosis Risk in Communities Study. Neurology 2023 , 101 , e1319–e1327. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Nardi Cesarini, E.; Babiloni, C.; Salvadori, N.; Farotti, L.; Del Percio, C.; Pascarelli, M.T.; Noce, G.; Lizio, R.; Da Re, F.; Isella, V.; et al. Late-Onset Epilepsy With Unknown Etiology: A Pilot Study on Neuropsychological Profile, Cerebrospinal Fluid Biomarkers, and Quantitative EEG Characteristics. Front. Neurol. 2020 , 11 , 199. [ Google Scholar ] [ CrossRef ]
• Lam, A.D.; Noebels, J. Night Watch on the Titanic: Detecting Early Signs of Epileptogenesis in Alzheimer Disease. Epilepsy Curr. 2020 , 20 , 369–374. [ Google Scholar ] [ CrossRef ]
• Hahm, J.; Kim, K.K.; Kim, D.W. Seizure-Related Cortical Volume Alterations in Alzheimer’s Disease: A Preliminary Study. J. Epilepsy Res. 2018 , 8 , 33–40. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Kaestner, E.; Reyes, A.; Chen, A.; Rao, J.; Macari, A.C.; Choi, J.Y.; Qiu, D.; Hewitt, K.; Wang, Z.I.; Drane, D.L.; et al. Atrophy and cognitive profiles in older adults with temporal lobe epilepsy are similar to mild cognitive impairment. Brain 2021 , 144 , 236–250. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Zhang, X.; Li, W.; Shen, W.; Zhang, L.; Pu, X.; Chen, L. (Eds.) Automatic Identification of Alzheimer’s Disease and Epilepsy Based on MRI. In Proceedings of the 2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI), Portland, OR, USA, 4–6 November 2019; pp. 614–620. [ Google Scholar ]
• Purushotham, M.; Tashrifwala, F.; Jena, R.; Vudugula, S.A.; Patil, R.S.; Agrawal, A. The Association Between Alzheimer’s Disease and Epilepsy: A Narrative Review. Cureus 2022 , 14 , e30195. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Marcus, C.; Mena, E.; Subramaniam, R.M. Brain PET in the diagnosis of Alzheimer’s disease. Clin. Nucl. Med. 2014 , 39 , e413–e422, quiz e423–e426. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Colom-Cadena, M.; Spires-Jones, T.; Zetterberg, H.; Blennow, K.; Caggiano, A.; DeKosky, S.T.; Fillit, H.; Harrison, J.E.; Schneider, L.S.; Scheltens, P.; et al. The clinical promise of biomarkers of synapse damage or loss in Alzheimer’s disease. Alzheimer’s Res. Ther. 2020 , 12 , 21. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Horvath, A.; Kiss, M.; Szucs, A.; Kamondi, A. Precuneus-Dominant Degeneration of Parietal Lobe Is at Risk of Epilepsy in Mild Alzheimer’s Disease. Front. Neurol. 2019 , 10 , 878. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Novak, A.; Vizjak, K.; Gacnik, A.; Rakusa, M. Cognitive impairment in people with epilepsy: Montreal Cognitive Assessment (MoCA) as a screening tool. Acta Neurol. Belg. 2023 , 123 , 451–456. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Filippov, M.A.; Vorobyov, V.V. Detrimental and synergistic role of epilepsy — Alzheimer’s disease risk factors. Neural Regen. Res. 2019 , 14 , 1376–1377. [ Google Scholar ] [ PubMed ]
• Wu, J.; Zhu, S.; Zhao, C.; Xu, X. A Comprehensive Investigation of Molecular Signatures and Pathways Linking Alzheimer’s Disease and Epilepsy via Bioinformatic Approaches. Curr. Alzheimer Res. 2022 , 19 , 146–160. [ Google Scholar ] [ CrossRef ]
• Juźwik, C.A.; Drake, S.S.; Zhang, Y.; Paradis-Isler, N.; Sylvester, A.; Amar-Zifkin, A.; Douglas, C.; Morquette, B.; Moore, C.S.; Fournier, A.E. microRNA dysregulation in neurodegenerative diseases: A systematic review. Progress. Neurobiol. 2019 , 182 , 101664. [ Google Scholar ] [ CrossRef ]
• Jiang, X.-w.; Lu, H.-y.; Xu, Z.; Liu, T.-y.; Wu, Q.; Yang, Y.; Zhao, Q.-c.; Gao, H.-y. In Silico Analyses for Key Genes and Molecular Genetic Mechanism in Epilepsy and Alzheimer’s Disease. CNS Neurol. Disord.—Drug Targets 2018 , 17 , 608–617. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Harutyunyan, A.; Jones, N.C.; Kwan, P.; Anderson, A. Network Preservation Analysis Reveals Dysregulated Synaptic Modules and Regulatory Hubs Shared Between Alzheimer’s Disease and Temporal Lobe Epilepsy. Front. Genet. 2022 , 13 , 821343. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Vossel, K.A.; Ranasinghe, K.G.; Beagle, A.J.; Mizuiri, D.; Honma, S.M.; Dowling, A.F.; Darwish, S.M.; Van Berlo, V.; Barnes, D.E.; Mantle, M.; et al. Incidence and impact of subclinical epileptiform activity in Alzheimer’s disease. Ann. Neurol. 2016 , 80 , 858–870. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Musaeus, C.S.; Engedal, K.; Høgh, P.; Jelic, V.; Mørup, M.; Naik, M.; Oeksengaard, A.R.; Snaedal, J.; Wahlund, L.O.; Waldemar, G.; et al. EEG Theta Power Is an Early Marker of Cognitive Decline in Dementia due to Alzheimer’s Disease. J. Alzheimers Dis. 2018 , 64 , 1359–1371. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Kitchigina, V.F. Alterations of Coherent Theta and Gamma Network Oscillations as an Early Biomarker of Temporal Lobe Epilepsy and Alzheimer’s Disease. Front. Integr. Neurosci. 2018 , 12 , 36. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Tombini, M.; Boscarino, M.; Di Lazzaro, V. Tackling seizures in patients with Alzheimer’s disease. Expert. Rev. Neurother. 2023 , 23 , 1131–1145. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Hautecloque-Raysz, G.; Sellal, F.; Bousiges, O.; Phillipi, N.; Blanc, F.; Cretin, B. Epileptic Prodromal Alzheimer’s Disease Treated with Antiseizure Medications: Medium-Term Outcome of Seizures and Cognition. J. Alzheimers Dis. 2023 , 94 , 1057–1074. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Lin, C.Y.; Chang, M.C.; Jhou, H.J. Effect of Levetiracetam on Cognition: A Systematic Review and Meta-analysis of Double-Blind Randomized Placebo-Controlled Trials. CNS Drugs 2024 , 38 , 1–14. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Vossel, K.; Ranasinghe, K.G.; Beagle, A.J.; La, A.; Ah Pook, K.; Castro, M.; Mizuiri, D.; Honma, S.M.; Venkateswaran, N.; Koestler, M.; et al. Effect of Levetiracetam on Cognition in Patients With Alzheimer Disease With and Without Epileptiform Activity: A Randomized Clinical Trial. JAMA Neurol. 2021 , 78 , 1345–1354. [ Google Scholar ] [ CrossRef ]
• Isla, A.G.; Balleza-Tapia, H.; Chu, F.; Chen, G.; Johansson, J.; Nilsson, P.; Fisahn, A. Low dose of levetiracetam counteracts amyloid β-induced alterations of hippocampal gamma oscillations by restoring fast-spiking interneuron activity. Exp. Neurol. 2023 , 369 , 114545. [ Google Scholar ] [ CrossRef ]
• Vossel, K. Putting the Brakes on Accelerated Cognitive Decline in Alzheimer’s Disease with Epileptic Activity. J. Alzheimers Dis. 2023 , 94 , 1075–1077. [ Google Scholar ] [ CrossRef ]
• Musaeus, C.S.; Nilsson, C.; Cooper, C.; Kramberger, M.G.; Verdelho, A.; Stefanova, E.; Religa, D.; Waldemar, G.; Frederiksen, K.S. Pharmacological Medical Treatment of Epilepsy in Patients with Dementia: A Systematic Review. Curr. Alzheimer Res. 2021 , 18 , 689–694. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Rohracher, A.; Kalss, G.; Kuchukhidze, G.; Neuray, C.; Leitinger, M.; Höfler, J.; Kreidenhuber, R.; Rossini, F.; Volna, K.; Mauritz, M.; et al. New anti-seizure medication for elderly epilepsy patients — A critical narrative review. Expert. Opin. Pharmacother. 2021 , 22 , 621–634. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Zhang, L.; Jiang, H.Y.; Liu, W.J. Anti-seizure medication exposure and the risk of dementia: A meta-analysis of observational studies. Front. Neurol. 2023 , 14 , 1133816. [ Google Scholar ] [ CrossRef ]
• Dusanter, C.; Houot, M.; Mere, M.; Denos, M.; Samson, S.; Herlin, B.; Navarro, V.; Dupont, S. Cognitive effect of antiseizure medications in medial temporal lobe epilepsy. Eur. J. Neurol. 2023 , 30 , 3692–3702. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Schnier, C.; Duncan, S.; Wilkinson, T.; Mbizvo, G.K.; Chin, R.F.M. A nationwide, retrospective, data-linkage, cohort study of epilepsy and incident dementia. Neurology 2020 , 95 , e1686–e1693. [ Google Scholar ] [ CrossRef ]
• Rayala, H.; Kapur, J.; El-Haija, H.A.; Parikh, P.; Zawar, I. Memantine’s double duty? Investigating its impact on epilepsy control in Alzheimer’s disease. Epileptic Disord. 2024 , 26 , 261–263. [ Google Scholar ] [ CrossRef ]
• Vico Varela, E.; Etter, G.; Williams, S. Excitatory-inhibitory imbalance in Alzheimer’s disease and therapeutic significance. Neurobiol. Dis. 2019 , 127 , 605–615. [ Google Scholar ] [ CrossRef ]
• Gourmaud, S.; Stewart, D.A.; Irwin, D.J.; Roberts, N.; Barbour, A.J.; Eberwine, G.; O’Brien, W.T.; Vassar, R.; Talos, D.M.; Jensen, F.E. The role of mTORC1 activation in seizure-induced exacerbation of Alzheimer’s disease. Brain 2022 , 145 , 324–339. [ Google Scholar ] [ CrossRef ]
• Gourmaud, S.; Shou, H.; Irwin, D.J.; Sansalone, K.; Jacobs, L.M.; Lucas, T.H.; Marsh, E.D.; Davis, K.A.; Jensen, F.E.; Talos, D.M. Alzheimer-like amyloid and tau alterations associated with cognitive deficit in temporal lobe epilepsy. Brain 2020 , 143 , 191–209. [ Google Scholar ] [ CrossRef ]
• Ranasinghe, K.G.; Kudo, K.; Hinkley, L.; Beagle, A.; Lerner, H.; Mizuiri, D.; Findlay, A.; Miller, B.L.; Kramer, J.H.; Gorno-Tempini, M.L.; et al. Neuronal synchrony abnormalities associated with subclinical epileptiform activity in early-onset Alzheimer’s disease. Brain 2022 , 145 , 744–753. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• He, M.; Kolesar, T.A.; Goertzen, A.L.; Ng, M.C.; Ko, J.H. Do Epilepsy Patients with Cognitive Impairment Have Alzheimer’s Disease-like Brain Metabolism? Biomedicines 2023 , 11 , 1108. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Fernandes, M.; Manfredi, N.; Aluisantonio, L.; Franchini, F.; Chiaravalloti, A.; Izzi, F.; Di Santo, S.; Schillaci, O.; Mercuri, N.B.; Placidi, F.; et al. Cognitive functioning, cerebrospinal fluid Alzheimer’s disease biomarkers and cerebral glucose metabolism in late-onset epilepsy of unknown aetiology: A prospective study. Eur. J. Neurosci. 2022 , 56 , 5384–5396. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Zhang, X.; Ahmed, R.; Thayer, Z.; Breen, N.; McMillan, J.; Fulham, M.; Nikpour, A. Late-onset epilepsy with cognitive symptoms: Comparison of cognitive and imaging profiles with probable Alzheimer’s disease. Epilepsy Behav. 2023 , 146 , 109371. [ Google Scholar ] [ CrossRef ]

Click here to enlarge figure

Share and Cite

Kalyvas, A.-C.; Dimitriou, M.; Ioannidis, P.; Grigoriadis, N.; Afrantou, T. Alzheimer’s Disease and Epilepsy: Exploring Shared Pathways and Promising Biomarkers for Future Treatments. J. Clin. Med. 2024 , 13 , 3879. https://doi.org/10.3390/jcm13133879

Kalyvas A-C, Dimitriou M, Ioannidis P, Grigoriadis N, Afrantou T. Alzheimer’s Disease and Epilepsy: Exploring Shared Pathways and Promising Biomarkers for Future Treatments. Journal of Clinical Medicine . 2024; 13(13):3879. https://doi.org/10.3390/jcm13133879

Kalyvas, Athanasios-Christos, Maria Dimitriou, Panagiotis Ioannidis, Nikolaos Grigoriadis, and Theodora Afrantou. 2024. "Alzheimer’s Disease and Epilepsy: Exploring Shared Pathways and Promising Biomarkers for Future Treatments" Journal of Clinical Medicine 13, no. 13: 3879. https://doi.org/10.3390/jcm13133879

Article Metrics

Article access statistics, further information, mdpi initiatives, follow mdpi.

Subscribe to receive issue release notifications and newsletters from MDPI journals