Classification of internet addiction using machine learning on electroencephalography synchronization and functional connectivity.
Background Internet addiction (IA) refers to excessive internet use that causes cognitive impairment or distress. Understanding the neurophysiological mechanisms underpinning IA is crucial for enabling an accurate diagnosis and informing treatment and prevention strategies. Despite the recent increa...
| Publicado en: | Psychological Medicine Vol. 55; pp. 1 - 12 |
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| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
Cambridge University Press
2025
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| Acceso en línea: | Ver este registro en EBSCOhost |