Random Forest Classification of Alcohol Use Disorder Using EEG Source Functional Connectivity, Neuropsychological Functioning, and Impulsivity Measures

Random Forest Classification of Alcohol Use Disorder Using EEG Source Functional Connectivity, Neuropsychological Functioning, and Impulsivity Measures

Individuals with alcohol use disorder (AUD) manifest a variety of impairments that can be attributed to alterations in specific brain networks. The current study aims to identify features of EEG-based functional connectivity, neuropsychological performance, and impulsivity that can classify individu...

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Bibliographic Details
Main Authors: Chella Kamarajan, Babak A. Ardekani, Ashwini K. Pandey, David B. Chorlian, Sivan Kinreich, Gayathri Pandey, Jacquelyn L. Meyers, Jian Zhang, Weipeng Kuang, Arthur T. Stimus, Bernice Porjesz
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Behavioral Sciences
Subjects:
alcohol use disorder (aud)
functional connectivity
default mode network (dmn)
resting state eeg
eloreta
neuropsychological performance
tower of london test
visual span test
impulsivity
random forest
Online Access:https://www.mdpi.com/2076-328X/10/3/62

Internet

https://www.mdpi.com/2076-328X/10/3/62

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