Enhancing the early detection of Alzheimer’s disease using an integrated CNN-LSTM framework: A robust approach for fMRI-based multi-stage classification

Saima Farhan; Yasin Ul Haq; Momina Abdul Khaliq; Seemal Afza; Fahad Ahmad; Tariq Mahmood; Amjad Rehman

doi:10.1371/journal.pone.0317968

Loading metrics

Open Access

Peer-reviewed

Research Article

Enhancing the early detection of Alzheimer’s disease using an integrated CNN-LSTM framework: A robust approach for fMRI-based multi-stage classification

Saima Farhan,

Roles Conceptualization, Data curation, Formal analysis, Writing – original draft

Affiliation Department of Computer Science, Lahore College for Women University, Lahore, Pakistan

https://orcid.org/0000-0002-6610-9290

⨯
Yasin Ul Haq,

Roles Conceptualization, Data curation, Formal analysis, Validation, Writing – review & editing

Affiliation Department of Computer Science and Engineering, University of Engineering and Technology Lahore Narowal Campus, Narowal, Pakistan
⨯
Momina Abdul Khaliq,

Roles Conceptualization, Data curation, Formal analysis, Investigation, Writing – review & editing

Affiliation Department of Computer Science, Lahore College for Women University, Lahore, Pakistan
⨯
Seemal Afza,

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Validation, Visualization, Writing – review & editing

Affiliation Department of Computer Science, Lahore College for Women University, Lahore, Pakistan
⨯
Fahad Ahmad,

Roles Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Writing – review & editing

Affiliation School of Computing, Faculty of Technology, University of Portsmouth, Southsea, Portsmouth, United Kingdom

https://orcid.org/0000-0001-5269-0427

⨯
Tariq Mahmood,

Roles Conceptualization, Data curation, Formal analysis, Methodology, Project administration, Resources, Writing – review & editing

Affiliations Artificial Intelligence and Data Analytics (AIDA) Lab, CCIS, Prince Sultan University, 11586, Riyadh, Kingdom of Saudi Arabia, Faculty of Information Sciences, University of Education, Vehari Campus, Vehari, Pakistan

https://orcid.org/0000-0002-4299-7756

⨯
Amjad Rehman

Roles Conceptualization, Data curation, Investigation, Methodology, Project administration, Writing – review & editing

Affiliation Artificial Intelligence and Data Analytics (AIDA) Lab, CCIS, Prince Sultan University, 11586, Riyadh, Kingdom of Saudi Arabia
⨯

Enhancing the early detection of Alzheimer’s disease using an integrated CNN-LSTM framework: A robust approach for fMRI-based multi-stage classification

Saima Farhan,
Yasin Ul Haq,
Momina Abdul Khaliq,
Seemal Afza,
Fahad Ahmad,
Tariq Mahmood,
Amjad Rehman

Published: August 26, 2025
https://doi.org/10.1371/journal.pone.0317968

Reader Comments (0)

Post a new comment on this article

Subject Areas
?

For more information about PLOS Subject Areas, click here.
We want your feedback. Do these Subject Areas make sense for this article? Click the target next to the incorrect Subject Area and let us know. Thanks for your help!

Alzheimer's disease
Is the Subject Area "Alzheimer's disease" applicable to this article?

Thanks for your feedback.
Functional magnetic resonance imaging
Is the Subject Area "Functional magnetic resonance imaging" applicable to this article?

Thanks for your feedback.
Cognitive impairment
Is the Subject Area "Cognitive impairment" applicable to this article?

Thanks for your feedback.
Preprocessing
Is the Subject Area "Preprocessing" applicable to this article?

Thanks for your feedback.
Neuroimaging
Is the Subject Area "Neuroimaging" applicable to this article?

Thanks for your feedback.
Machine learning
Is the Subject Area "Machine learning" applicable to this article?

Thanks for your feedback.
Deep learning
Is the Subject Area "Deep learning" applicable to this article?

Thanks for your feedback.
Learning
Is the Subject Area "Learning" applicable to this article?

Thanks for your feedback.