Quantitative Identification of Major Depression Based on Resting-State Dynamic Functional Connectivity: A Machine Learning Approach

INTRODUCTION: Developing a machine learning-based approach which could provide quantitative identification of major depressive disorder (MDD) is essential for the diagnosis and intervention of this disorder. However, the performances of traditional algorithms using static functional connectivity (SF...

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Detalhes bibliográficos
Publicado no:Front Neurosci
Main Authors: Yan, Baoyu, Xu, Xiaopan, Liu, Mengwan, Zheng, Kaizhong, Liu, Jian, Li, Jianming, Wei, Lei, Zhang, Binjie, Lu, Hongbing, Li, Baojuan
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2020
Assuntos:
Neuroscience
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7118554/
https://ncbi.nlm.nih.gov/pubmed/32292322
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2020.00191
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