Network Dysfunction in Alzheimer's Disease and Frontotemporal Dementia: Implications for Psychiatry

被引:173
作者
Zhou, Juan [1 ]
Seeley, William W. [2 ]
机构
[1] Duke Natl Univ Singapore, Grad Sch Med, Ctr Cognit Neurosci, Neurosci & Behav Disorders Program, Singapore 117597, Singapore
[2] Univ Calif San Francisco, Memory & Aging Ctr, Dept Neurol, San Francisco, CA 94143 USA
关键词
Alzheimer's disease; biomarker; connectome; frontotemporal dementia; network; psychiatric disorders; STATE FUNCTIONAL CONNECTIVITY; OLD-WORLD MONKEY; BEHAVIORAL VARIANT; DEFAULT-MODE; REPEAT EXPANSION; BRAIN CONNECTIVITY; LOBAR DEGENERATION; NEURAL MECHANISMS; RESTING BRAIN; C9ORF72;
D O I
10.1016/j.biopsych.2014.01.020
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Structural and functional connectivity methods are changing how researchers conceptualize and explore neuropsychiatric disease. Here, we summarize emerging evidence of large-scale network dysfunction in Alzheimer's disease and behavioral variant frontotemporal dementia, focusing on the divergent impact these disorders have on the default mode network and the salience network. We update a working model for understanding the functions of these networks within a broader anatomical context and highlight the relevance of this model for understanding psychiatric illness. Finally, we look ahead to persistent challenges in the application of network-based imaging methods to patients with Alzheimer's disease, behavioral variant frontotemporal dementia, and other neuropsychiatric conditions. Recent advances and persistent needs are discussed, with an eye toward anticipating the hurdles that must be overcome for a network-based framework to clarify the biology of psychiatric illness and aid in the drug discovery process.
引用
收藏
页码:565 / 573
页数:9
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