Connectome-based predictive modeling of Internet addiction symptomatology

Abstract Internet addiction symptomatology (IAS) is characterized by persistent and involuntary patterns of compulsive Internet use, leading to significant impairments in both physical and mental well-being. Here, a connectome-based predictive modeling approach was applied to decode IAS from whole-b...

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Main Authors: Qiuyang Feng, Zhiting Ren, Dongtao Wei, Cheng Liu, Xueyang Wang, Xianrui Li, Bijie Tie, Shuang Tang, Jiang Qiu
格式: Artigo
语言:英语
出版: 2024
在线阅读:https://doi.org/10.1093/scan/nsae007
https://academic.oup.com/scan/advance-article-pdf/doi/10.1093/scan/nsae007/56642825/nsae007.pdf
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