Constructing brain functional networks with adaptive manifold regularization for early mild cognitive impairment

Brain functional network (BFN) has emerged as a practical path to explore biomarkers for early mild cognitive impairment (eMCI). Currently, most of BFNs only considered the topology structure between two brain regions and ignored the high‐order information among multiple brain regions. We proposed a...

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Veröffentlicht in:	International journal of imaging systems and technology 2024-03, Vol.34 (2), p.n/a
Hauptverfasser:	Fu, Xidong, Shan, Shengchang, Liu, Chun, Lu, Yu, Jiao, Zhuqing
Format:	Artikel
Sprache:	eng
Schlagworte:	adaptive hypergraph learning Biomarkers Brain brain functional network Cognitive ability early mild cognitive impairment functional magnetic resonance imaging Graph theory Graphs Impairment manifold regularization term Manifolds (mathematics) Regularization Regularization methods Topology
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