Matthew Edward Hughes

Neurodesk provides a portable and reproducible neuroimaging analysis platform using software containers to enable accessible and flexible data analysis pipelines.

The paper analyzes fMRI data to identify brain networks involved in radio speech listening and hallucination experiences in schizophrenia, finding speech-duration-dependent responses but not hallucination-duration-dependent ones.

This study examines how perceptual degradation of visual stimuli affects stop-signal performance in healthy adults, finding differential impacts on inhibition success but not reaction times.

The paper shows that different analysis workflows by 70 teams on the same fMRI dataset led to varied results, but meta-analysis found consensus in activated regions.

The paper tests the CRUNCH model in premanifest Huntington’s disease using fMRI and stop-signal tasks, finding results inconsistent with the model's predictions.