首页|The brain network hub degeneration in Alzheimer's disease

The brain network hub degeneration in Alzheimer's disease

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Alzheimer's disease(AD)has been conceptualized as a syndrome of brain network dysfunction.Recent imaging connectomics studies have provided unprecedented opportunities to map structural and func-tional brain networks in AD.By reviewing molecular,imaging,and computational modeling studies,we have shown that highly connected brain hubs are primarily distributed in the medial and lateral pre-frontal,parietal,and temporal regions in healthy individuals and that the hubs are selectively and severely affected in AD as manifested by increased amyloid-beta deposition and regional atrophy,hypo-metabolism,and connectivity dysfunction.Furthermore,AD-related hub degeneration depends on the imaging modality with the most notable degeneration in the medial temporal hubs for morpho-logical covariance networks,the prefrontal hubs for structural white matter networks,and in the medi-al parietal hubs for functional networks.Finally,the AD-related hub degeneration shows metabolic,molecular,and genetic correlates.Collectively,we conclude that the brain-network-hub-degeneration framework is promising to elucidate the biological mechanisms of network dysfunction in AD,which provides valuable information on potential diagnostic biomarkers and promising therapeutic targets for the disease.

ConnectomicsCentralityModularityGraph theoryMRIDementia

Suhui Jin、Jinhui Wang、Yong He

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Institute for Brain Research and Rehabilitation,Guangzhou 510631,China

Guangdong Key Laboratory of Mental Health and Cognitive Science,Guangzhou 510631,China

Center for Studies of Psychological Application,South China Normal University,Guangzhou 510631,China

IDG/McGovern Institute for Brain Research,Beijing 100875,China

National Key Laboratory of Cognitive Neuroscience and Learning,Beijing 100875,China

Beijing Key Laboratory of Brain Imaging and Connectomics,Beijing Normal University,Beijing 100875,China

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2024

生物物理学报告(英文)

生物物理学报告(英文)

ISSN:
年,卷(期):2024.10(4)