MambaKAN: An Interpretable Framework for Alzheimer’s Disease Diagnosis via Selective State Space Modeling of Dynamic Functional Connectivity

Comprehensive ablation studies confirm the indispensable contribution of each module, and the three-layer interpretability analysis reveals key temporal patterns and brain regions associated with AD progression.

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Publication Details

Journal
Brain Sciences
Published
2026-04-17
DOI
https://doi.org/10.3390/brainsci16040421
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

MambaKAN: An Interpretable Framework for Alzheimer’s Disease Diagnosis via Selective State Space Modeling of Dynamic Functional Connectivity

Zhongyi Hu, Libin Gao
Brain Sciences
Functional Brain Connectivity Studies
article

MambaKAN: An Interpretable Framework for Alzheimer’s Disease Diagnosis via Selective State Space Modeling of Dynamic Functional Connectivity

Zhongyi Hu, Libin Gao
article en

Abstract

Comprehensive ablation studies confirm the indispensable contribution of each module, and the three-layer interpretability analysis reveals key temporal patterns and brain regions associated with AD progression.

Brain SciencesVol. 16(4)
Wenzhou University (CN), Wenzhou Vocational College of Science and Technology (CN)
Openalex Percentile: Top 18%
Functional Brain Connectivity Studies
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MambaKAN: An Interpretable Framework for Alzheimer’s Disease Diagnosis via Selective State Space Modeling of Dynamic Functional Connectivity — Zhongyi Hu, Libin Gao · Brain Sciences (2026) | TGRS Research Map | TGRS