Resting-state EEG power and machine-learning classification in adult males with gambling disorder
BackgroundGambling disorder (GD) is a behavioral addiction sharing neurobiological features with substance use disorders, yet objective biomarkers remain limited. This study examined resting-state EEG power and applied machine learning to identify potential electrophysiological markers of GD.Methods...
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| Hauptverfasser: | , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Frontiers Media S.A.
2026-01-01
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| Schriftenreihe: | Frontiers in Human Neuroscience |
| Schlagworte: | |
| Online-Zugang: | https://www.frontiersin.org/articles/10.3389/fnhum.2025.1725528/full |
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