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阿尔茨海默病和额颞叶痴呆的网络功能障碍:对精神病学的影响。

Network dysfunction in Alzheimer's disease and frontotemporal dementia: implications for psychiatry.

机构信息

Center for Cognitive Neuroscience, Neuroscience and Behavior Disorders Program, Duke-National University of Singapore Graduate Medical School, Singapore.

Memory and Aging Center, Department of Neurology, University of California at San Francisco, San Franciso, California.

出版信息

Biol Psychiatry. 2014 Apr 1;75(7):565-73. doi: 10.1016/j.biopsych.2014.01.020. Epub 2014 Feb 4.

Abstract

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.

摘要

结构和功能连接方法正在改变研究人员对神经精神疾病的概念化和探索方式。在这里,我们总结了阿尔茨海默病和行为变异型额颞叶痴呆症中大规模网络功能障碍的新证据,重点介绍了这些疾病对默认模式网络和突显网络的不同影响。我们更新了一个在更广泛的解剖背景下理解这些网络功能的工作模型,并强调了该模型对理解精神疾病的相关性。最后,我们展望了将基于网络的成像方法应用于阿尔茨海默病、行为变异型额颞叶痴呆症和其他神经精神疾病患者的持续挑战。讨论了最近的进展和持续的需求,着眼于预测为了使基于网络的框架阐明精神疾病的生物学并帮助药物发现过程,必须克服的障碍。

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