Fig. 2: EEG functional connectivity AUD remission biomarkers. | Translational Psychiatry

Fig. 2: EEG functional connectivity AUD remission biomarkers.

From: Predicting alcohol use disorder remission: a longitudinal multimodal multi-featured machine learning approach

Fig. 2

AUD remission prediction models reveal ancestry/sex group-specific brain connectivity biomarkers discriminating between those who recovered from AUD to those who did not. Results highlight lower connectivity in theta (blue) and gamma (red) in areas related to DMN (in bold -IT, PCC, PR, raCC, PH) and higher connectivity in theta (blue) and beta (orange) between insula and inferior and superior parietal regions respectively (in bold INS, IP, IT) specific to every sex and ancestry predicting the maintenance of AUD. blue-theta, green-alpha, orange-beta, red-gamma. Thinner lines—lower connectivity, Thicker lines—higher connectivity. CMF Caudal middle frontal, FF fusiform, FP frontal pole, INS insula, IC Isthmus cingulate, IP inferior parietal, IT inferior temporal, LI lingual, LO Lateral Occipital, MOF medial orbito frontal, PC paracentral, PCC posterior cingulate cortex, PH parahippocampus, PO parsorbitalis, PR precuneus, raCC rostral anterior cingulate cortex, SM supramarginal, rmF Rostral middle frontal, TP temporal pole, TT Transverse temporal, SP Superior parietal, ST Superior temporal.

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