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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| Auteurs principaux: | , , , , , , , , |
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| Format: | Artigo |
| Langue: | anglais |
| Publié: |
2024
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| Accès en ligne: | 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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