Exploring Abnormal Brain Functional Connectivity in Healthy Adults, Depressive Disorder, and Generalized Anxiety Disorder through EEG Signals: A Machine Learning Approach for Triple Classification

Exploring Abnormal Brain Functional Connectivity in Healthy Adults, Depressive Disorder, and Generalized Anxiety Disorder through EEG Signals: A Machine Learning Approach for Triple Classification

Depressive disorder (DD) and generalized anxiety disorder (GAD), two prominent mental health conditions, are commonly diagnosed using subjective methods such as scales and interviews. Previous research indicated that machine learning (ML) can enhance our understanding of their underlying mechanisms....

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Bibliographic Details
Main Authors: Jiaqi Fang, Gang Li, Wanxiu Xu, Wei Liu, Guibin Chen, Yixia Zhu, Youdong Luo, Xiaodong Luo, Bin Zhou
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Brain Sciences
Subjects:
depression disorder
generalized anxiety disorder
electroencephalogram (EEG)
functional connectivity
machine learning
Online Access:https://www.mdpi.com/2076-3425/14/3/245

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https://www.mdpi.com/2076-3425/14/3/245

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