Pratik Mukherjee

This paper introduces diffusion similarity networks (DSNs) using diffusion MRI to map brain structural organization, showing improved sensitivity to age, cognition, and sex compared to prior methods.

This paper maps human cerebral cortex microstructure using diffusion MRI, identifying 21 metrics linked to cytoarchitecture, function, and cognition, and showing their heritability and predictive power for age and cognition.

This paper shows that reducing tractography streamlines by two orders of magnitude does not significantly impact connectome identifiability, suggesting computational optimizations are feasible.

This study uses ex vivo diffusion MRI and histopathology to correlate tract disruptions with axonal injury in a TBI patient.

MaPPeRTrac streamlines and accelerates large-scale diffusion MRI tractography by automating the pipeline and leveraging HPC resources.

This paper introduces deep linear models to map hierarchical brain connectivity networks from fMRI data, showing improved performance over conventional methods.

This study compares DTI and NODDI biomarkers in mTBI patients to assess white matter changes over time and their association with cognitive recovery.

This paper introduces a spectral graph model to predict brain oscillations from structural connectomes, showing that certain oscillations emerge from network topology.

The paper examines how changes in structural and functional connectomes relate to cognitive recovery after mild TBI, finding that increased network diffusion model propagation time, structural segregation, and functional integration correlate with better recovery.

The paper defines scoring methods for tactile and auditory over-responsivity using parent reports and direct assessments and identifies white matter integrity differences in children with auditory over-responsivity.