Leyla R. Brucar

The paper uses explainable machine learning to identify gender-specific risk factors for cannabis use disorder, finding stronger environmental influences in women and individual factors in men.

This paper introduces an LSTM-based classifier that accurately distinguishes acute concussions from healthy states using raw resting state EEG data from adolescent athletes.

This study uses myelin water imaging to show a decrease in myelin water fraction in chronic mild traumatic brain injury compared to healthy controls.

This study compares information flow patterns in healthy and concussed adolescents using EEG data, finding altered flow patterns and distribution in the concussed group.

This study uses information flow rate to analyze resting-state EEG signals in adolescents, revealing left-lateralized, bidirectional brain interactions indicative of intermediate maturation.