Faisal M. Rashid

This paper compares four methods for harmonizing cortical thickness data across multiple sites and finds that ComBat-GAM is most effective in detecting case-control differences and age-related cortical thinning.

This study examines structural covariance networks in PTSD using a large multisite dataset, finding differences in centrality measures between PTSD and control groups, and highlighting sex-based and comorbid differences.

This study identifies hippocampal subfield volume differences in PTSD and depression across 31 cohorts, finding depression has a stronger effect than PTSD, especially in CA1, with comorbid cases showing more pronounced changes.

This study finds that perinatal exposure to maternal smoking is associated with reduced cortical surface area in specific brain regions and increased disease risk in middle-aged and older adults.

FiberNet 2.0 uses convolutional neural networks to cluster white matter fibers into anatomically meaningful bundles, showing improved accuracy and reduced false positives.

This paper maps white matter differences in Parkinson’s disease using tractometry to identify localized microstructural abnormalities in specific brain pathways.

FiberNET clusters white matter fibers using deep learning, achieving accuracy comparable to or better than existing methods.