Aberrated Multidimensional EEG Characteristics in Patients with Generalized Anxiety Disorder: A Machine-Learning Based Analysis Framework

Aberrated Multidimensional EEG Characteristics in Patients with Generalized Anxiety Disorder: A Machine-Learning Based Analysis Framework

Although increasing evidences support the notion that psychiatric disorders are associated with abnormal communication between brain regions, scattered studies have investigated brain electrophysiological disconnectivity of patients with generalized anxiety disorder (GAD). To this end, this study in...

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Bibliographic Details
Main Authors: Zhongxia Shen, Gang Li, Jiaqi Fang, Hongyang Zhong, Jie Wang, Yu Sun, Xinhua Shen
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Sensors
Subjects:
generalized anxiety disorder (GAD)
electroencephalogram (EEG)
functional connectivity (FC)
fuzzy entropy (FE)
power spectrum density (PSD)
machine learning
Online Access:https://www.mdpi.com/1424-8220/22/14/5420

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https://www.mdpi.com/1424-8220/22/14/5420

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