Exploring structure-function coupling in alzheimer’s disease: bridging neuroimaging, AI, and policy for future insights

[...]while the study focuses on static SFC metrics, it does not address dynamic network adaptations—such as time-varying functional connectivity or compensatory reorganization—that may influence cognitive resilience. Auto ML technology Just Add Data Bio generated three AD biosignatures using SVM (mi...

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Bibliographic Details
Published in:	European journal of nuclear medicine and molecular imaging Vol. 52; no. 13; pp. 5202 - 5203
Main Authors:	Wang, Xun, Jiang, Yixin, Dong, Yifan, Zhu, Qian, Zhao, Yan, Zhang, Shuo
Format:	Journal Article
Language:	English
Published:	Berlin/Heidelberg Springer Berlin Heidelberg 01.11.2025 Springer Nature B.V
Subjects:	Alzheimer's disease Artificial intelligence Biomarkers Brain research Cardiology Cognitive ability Disease Federated learning Glial fibrillary acidic protein Imaging Interdisciplinary aspects Letter to the Editor Machine learning Medical imaging Medicine Medicine & Public Health Meta-analysis miRNA mRNA Neural networks Neurodegenerative diseases Neuroimaging Nuclear Medicine Oncology Orthopedics Pathology Proteins Public health Radiology Structure-function relationships
ISSN:	1619-7070, 1619-7089, 1619-7089
Online Access:	Get full text
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