Eva M. Palacios

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.