Aman Taxali

The paper links shorter sleep duration in adolescents to somatomotor network disconnection, socioeconomic factors, screen time, cognition, and psychopathology using network neuroscience methods.

The paper shows that flexible adaptation of task-positive brain networks predicts individual differences in evidence accumulation efficiency, explaining 36%-39% of the variance.

This study finds that socioeconomic resources in childhood are associated with widespread changes in brain connectivity, primarily driven by parental education, which is partially explained by home enrichment and child cognitive factors.

This study shows predictive models applied to resting state fMRI data achieve higher test-retest reliability than individual features across various scanning and processing conditions.

This study builds predictive neuromarkers of children's neurocognitive abilities from brain connectivity data, showing reliable generalization across sites and explaining over 14% of variance.

This study identifies a connectome-wide neurosignature of the P factor, a general risk factor for psychopathology, and shows its generalizability across adolescent brain imaging data.

The paper identifies FPN-DMN network separation as a mediator of general intelligence, showing it predicts intelligence scores and reverses in different task conditions.