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대규모 신경망의 관점에서 본 우울증

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Author(s)
김양태
Keimyung Author(s)
Kim, Yang Tae
Department
Dept. of Psychiatry (정신건강의학)
Journal Title
생물치료정신의학
Issued Date
2017
Volume
23
Issue
1
Keyword
Neural networksDepressionPsychodynamicTreatment.
Abstract
Recent developments in the emerging science of large-scale neural networks offer a new understanding of a coherent paradigm for cognition. The perspective of large-scale neural networks provides a powerful framework for investigating psychopathology in psychiatric disorders. In a similar vein, altered organizations in large-scale neural networks are shown to play a prominent role in depression. In this respect, this review gives an overview of a diverse literature on depression from the perspectives of large-scale neural networks. First, both definition and function of large-scale neural networks will be provided. Second, from a large-scale neural networks perspective, symptoms of depression will be discussed. Next, the relationship between psychodynamics of depression and altered organizations in large-scale neural networks will be addressed. Lastly, it will be explained how antidepressants and psychotherapy influence on large-scale neural networks. Understanding depression in terms of large-scale neural networks will be expected to provide a better option of treatment for depression.
Alternative Title
Depression in the Perspective of Large-Scale Neural Networks
Keimyung Author(s)(Kor)
김양태
Publisher
School of Medicine
Citation
김양태. (2017). 대규모 신경망의 관점에서 본 우울증. 생물치료정신의학, 23(1), 5–12.
Type
Article
ISSN
1225-9454
Source
http://www.dbpia.co.kr/Journal/ArticleDetail/NODE07112751
URI
https://kumel.medlib.dsmc.or.kr/handle/2015.oak/32879
Appears in Collections:
1. School of Medicine (의과대학) > Dept. of Psychiatry (정신건강의학)
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