Eric Rawls

Posttraumatic reexperiencing and alcohol use: mediofrontal theta as a neural mechanism for negative reinforcement

This study investigates the neural mechanisms linking PTSD symptoms and heavy alcohol use in veterans, finding altered mediofrontal theta responses associated with negative reinforcement.

Causal Discovery Analysis Reveals Insights into Psychosis Proneness, Brain Function, and Environmental Factors among Young Individuals

The paper uses causal discovery analysis to identify causal relationships among factors contributing to psychosis proneness in young individuals, finding negative self-schema and social cohesion as key factors.

NeuroFreq: a MATLAB Toolbox for Time-Frequency Analysis of M/EEG Data

NeuroFreq provides a MATLAB toolbox for consistent time-frequency analysis of M/EEG data, offering multiple transforms and utilities for processing and visualizing results.

Somatomotor Beta Bursts Mediate the Negative Impact of PTSD Severity on Conflict Monitoring

This study examines how somatomotor beta bursts relate to cognitive control deficits in PTSD, finding that increased beta burst rates mediate the link between PTSD severity and impaired conflict monitoring.

The Resting-State Causal Human Connectome is Characterized by Hub Connectivity of Executive and Attentional Networks

This paper introduces a method to calculate a causal connectome from resting-state fMRI data and finds that attentional and executive networks act as critical hubs in the human connectome.

Explainable Machine Learning Analysis Reveals Gender Differences in the Phenotypic and Neurobiological Markers of Cannabis Use Disorder

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.

Negative Urgency as a Risk Factor for Hazardous Alcohol Use: Dual Influences of Cognitive Control and Reinforcement Processing

The paper examines how negative urgency relates to hazardous alcohol use through cognitive control and reinforcement processing mechanisms using EEG data.

An Integrated Multimodal Model of Alcohol Use Disorder Generated by Data-Driven Causal Discovery Analysis

The paper uses causal discovery analysis to build an integrated multimodal model of AUD, identifying key causal factors from brain function to social and affective factors.