Divergent Connectivity Changes in Gray Matter Structural Covariance Networks in Subjective Cognitive Decline, Amnestic Mild Cognitive Impairment, and Alzheimer's Disease.

Fu, Zhenrong; Zhao, Mingyan; He, Yirong; Wang, Xuetong; Lu, Jiadong; Li, Shaoxian; Li, Xin; Kang, Guixia; Han, Ying; Li, Shuyu

Fu, Zhenrong; Zhao, Mingyan; He, Yirong; Wang, Xuetong; Lu, Jiadong; Li, Shaoxian; Li, Xin; Kang, Guixia; Han, Ying; Li, Shuyu.

Afiliación

Fu Z; School of Biological Science and Medical Engineering, Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, China.
Zhao M; Department of Neurology, Tangshan Gongren Hospital, Tangshan, China.
He Y; Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China.
Wang X; School of Biological Science and Medical Engineering, Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, China.
Lu J; School of Biological Science and Medical Engineering, Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, China.
Li S; School of Biological Science and Medical Engineering, Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, China.
Li X; School of Biological Science and Medical Engineering, Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, China.
Kang G; School of Electrical Engineering, Yanshan University, Qinhuangdao, China.
Han Y; Measurement Technology and Instrumentation Key Laboratory of Hebei Province, Qinhuangdao, China.
Li S; School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China.

Front Aging Neurosci ; 13: 686598, 2021.

Article en En | MEDLINE | ID: mdl-34483878

Palabras clave

Alzheimer's disease; amnestic mild cognitive impairment; default mode network; structural MRI; structural covariance network; subjective cognitive decline

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Front Aging Neurosci Año: 2021 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

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