This project utilizes the Nilearn library to perform structural neuroimaging analysis on the OASIS-1 dataset. The goal is to visualize and quantify gray matter density loss, serving as a computational model for Frontal Lobe Traumatic Brain Injury (TBI).
Below is the glass brain visualization comparing a healthy control against a simulated atrophy model:
By analyzing raw voxel data, the script identified:
- Baseline Gray Matter: [67,981.31]
- Atrophy Model Gray Matter: [64,281.23]
- Estimated Volume Reduction: [5.44]%
This workflow bridges the gap between clinical observation of executive function deficits and objective neurobiological markers. Identifying specific "hotspots" of atrophy in the prefrontal cortex is essential for understanding the behavioral disinhibition often seen in forensic neuropsychology.