Identifying Internet Addiction and Evaluating the Efficacy of Treatment Based on Functional Connectivity Density: A Machine Learning Study

Although mounting neuroimaging studies have greatly improved our understanding of the neurobiological mechanism underlying internet addiction (IA), the results based on traditional group-level comparisons are insufficient in guiding individual clinical practice directly. Specific neuroimaging biomar...

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Detalles Bibliográficos
Autores principales: Wang, Yang, Qin, Yun, Li, Hui, Yao, Dezhong, Sun, Bo, Gong, Jinnan, Dai, Yu, Wen, Chao, Zhang, Lingrui, Zhang, Chenchen, Luo, Cheng, Zhu, Tianmin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8247769/
https://www.ncbi.nlm.nih.gov/pubmed/34220426
http://dx.doi.org/10.3389/fnins.2021.665578

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8247769/
https://www.ncbi.nlm.nih.gov/pubmed/34220426
http://dx.doi.org/10.3389/fnins.2021.665578

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