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The human connectome in Alzheimer disease - relationship to biomarkers and genetics

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NATURE REVIEWS NEUROLOGY
卷 17, 期 9, 页码 545-563

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NATURE PORTFOLIO
DOI: 10.1038/s41582-021-00529-1

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  1. U.S. National Institutes of Health [R01 AG197711, P30 AG10133, 1U01AG024904, R01 CA129769, R01 AG057739, R01 LM013463, R01 AG068193, U01 AG068057]

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Alzheimer's disease pathology affects the structure and function of brain networks, leading to cognitive impairment. Recent connectomics studies have linked changes in network organization to amyloid-P and tau accumulation, providing insights into the disease's neurobiological mechanisms. Detecting gene-related connectome changes may aid in early AD diagnosis and personalized therapeutic strategies.
The pathology of Alzheimer disease (AD) damages structural and functional brain networks, resulting in cognitive impairment. The results of recent connectomics studies have now linked changes in structural and functional network organization in AD to the patterns of amyloid-P and tau accumulation and spread, providing insights into the neurobiological mechanisms of the disease. In addition, the detection of gene-related connectome changes might aid in the early diagnosis of AD and facilitate the development of personalized therapeutic strategies that are effective at earlier stages of the disease spectrum. In this article, we review studies of the associations between connectome changes and amyloid-P and tau pathologies as well as molecular genetics in different subtypes and stages of AD. We also highlight the utility of connectome-derived computational models for replicating empirical findings and for tracking and predicting the progression of biomarker-indicated AD pathophysiology.

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