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Chunk #30 — Discussion

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Predicting alcohol use disorder remission: a longitudinal multimodal multi-featured machine learning approach.
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was previously linked to the salience network role as regulating dynamic changes in other networks54. This theory suggests that if the salience network in the continued AUD group is damaged it might relate to the DMN lower functioning55. Overall, these brain networks’ connectivity showed aberrant functions related to AUD. Observed EEG differences between the genders and between the ancestries support the importance of identifying group-specific prediction models. EEG is a highly heritable phenotype and the differences revealed are the first steps in identifying and distinguishing between different genders and ancestries for the purpose of deepening our knowledge about disease recovery.