Philip Bowden Mitchell

This study analyzes structural brain network changes in bipolar disorder, finding widespread connectivity disruptions linked to illness severity and medication use.

This study performs a transcriptome-wide alternative splicing analysis in bipolar disorder, identifying complex splicing events and candidate genes associated with the disorder.

The paper introduces a scalable toolkit for 3D surface-based brain analysis, demonstrating its utility in mapping subcortical shape variations across 21 international samples.

This study uses RNA sequencing in multiplex bipolar disorder families to identify differentially expressed genes and pathways, finding significant lncRNAs and ion homeostasis dysregulation.

This study maps microstructural abnormalities along white matter tracts in bipolar disorder using multisite diffusion MRI tractometry and identifies significant differences in fractional anisotropy between BD patients and controls.

The paper examines associations between suicide-related polygenic risk scores and brain structure variability in young people with familial risk of bipolar disorder.

This paper identifies metastable wave patterns in human brain activity, showing they emerge from dynamic nonlinear dynamics and align with multiple imaging modalities.

This paper analyzes CNTNAP2's role in psychiatric disorders using genomic data and finds it unlikely to be a primary risk gene.

This study uses network control theory to show that structural connectivity deficits in bipolar disorder and high-risk individuals lead to impaired brain network controllability in regions associated with cognitive and emotional control.