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Chunk #19 — Results — Discriminative Features — EEG:

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Predicting risk for Alcohol Use Disorder using longitudinal data with multimodal biomarkers and family history: a machine learning study.
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hand, higher theta was revealed in AUD EA male interhemispheric connectivity in the occipital, frontal and temporal lobes (weight ranking 1,4,5) while both female groups showed higher slow wave intrahemispheric connectivity (delta, alpha) in frontal-parietal (AA, EA) (weight ranking 2,8) and temporal-iparietal (EA) (weight ranking 4) lobes. The groups differed in higher frontal gamma ratio and higher beta correlation in the parietal area (AA male) (weight ranking 2) and lower beta intrahemispheric correlation in the frontal-parietal (EA female) (weight ranking 5).