Andrey P. Anokhin

The paper derives lifespan trajectories of resting state bipolar EEG power from a large sample, finding age-related decreases followed by divergent patterns and sex-specific inter-frequency correlations.

The paper analyzes resting state EEG power trajectories across age and sex in a large sample, finding age-related decreases and sex-specific reversals in certain frequency bands.

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.

The paper uses polygenic risk scores from GWAS to assess their association with suicidal thoughts and behaviors in a sample with alcohol use disorders, finding significant contributions from multiple PRS.

This study uses machine learning to predict alcohol-related memory problems in older adults by integrating multi-domain features including brain connectivity, polygenic risk, and lifestyle factors.

This study assesses the reliability and stability of task-fMRI measures in children, finding poor reliability and stability across brain regions, with motion and activation levels significantly affecting results.

This paper conducts a multivariate GWAS of AUDIT items to correct biases and identify novel genetic associations between alcohol consumption, misuse, and health outcomes.

This study uses polygenic risk scores to predict substance use disorders in two samples, finding increased risk with higher scores but limited clinical utility.

The paper uses EEG data to predict age in children and adolescents, finding stable prediction errors and significant genetic influence on brain maturity.