Multimodal-based machine learning approach to classify features of internet gaming disorder and alcohol use disorder: A sensor-level and source-level resting-state electroencephalography activity and neuropsychological study

Objectives: Addictions have recently been classified as substance use disorder (SUD) and behavioral addiction (BA), but the concept of BA is still debatable. Therefore, it is necessary to conduct further neuroscientific research to understand the mechanisms of BA to the same extent as SUD. The prese...

Full description

Bibliographic Details

Published in:	Comprehensive Psychiatry
Main Authors:	Ji-Yoon Lee, Myeong Seop Song, So Young Yoo, Joon Hwan Jang, Deokjong Lee, Young-Chul Jung, Woo-Young Ahn, Jung-Seok Choi
Format:	Article
Language:	English
Published:	Elsevier 2024-04-01
Subjects:	Internet gaming disorder alcohol use disorder electroencephalography (EEG) machine learning neuropsychological features multimodal
Online Access:	http://www.sciencedirect.com/science/article/pii/S0010440X24000117