Patrick G. Bissett

The paper shows that functional brain networks remain stable in healthy young adults over years, suggesting persistent individual brain organization.

The paper introduces a protocol for assessing and controlling MRI data quality using MRIQC software, focusing on anatomical, functional, and diffusion MRI scans of the human brain.

This study identifies a twofold expansion of the salience network and contraction of the frontoparietal network in OCD, linked to symptom severity and dynamic connectivity changes over time.

The paper shares a dataset of cognitive tasks, anatomical MRI, and functional MRI data from 103 healthy adults to study self-regulation.

The paper addresses the response time paradox in fMRI analyses by proposing a model that incorporates response times to separate condition effects from RT-related activation.

This paper introduces task-DyVA, a deep learning framework that models human response time sequences, capturing subject-specific behavioral differences and providing insights into cognitive theories.

The paper identifies design issues in the stop-signal task of the ABCD study and proposes solutions for improving data quality and analysis.

The paper shows that repeated hypothesis testing on the same open dataset by multiple researchers increases false positives, leading to a decay in the dataset's utility for discovering true relationships.