Christian Richard

Leveraging Pretrained Vision Transformers for classifying Alcohol Use Disorder using Raw Resting-State EEG

This study uses EEGViT, a transformer-based model, to classify Alcohol Use Disorder from raw resting-state EEG data, achieving 56% accuracy with sex- and age-stratified results.

Alcohol use disorder is associated with altered frontomedial phase-amplitude coupling strength during resting state

This study investigates phase-amplitude coupling (PAC) differences in frontomedial brain regions between individuals with alcohol use disorder (AUD) and controls, identifying significant clusters associated with AUD.

Neuroanatomical features reveal accelerated brain age in alcohol use disorder

This study estimates brain age in individuals with alcohol use disorder (AUD) and finds accelerated brain aging associated with impaired neurocognition and impulsivity.

Prediction of brain age in individuals with and at risk for alcohol use disorder using brain morphological features

The paper predicts brain age in individuals with and at risk for alcohol use disorder using morphological brain features and finds accelerated brain aging in both groups.

Intermittent brain network reconfigurations and the resistance to social media influence

This study uses EEG to analyze brain network reconfigurations during social media and in-person interactions, finding that opinion change is linked to less frequent network reconfigurations.