Fmri Mahalanobis Bures Whitening

---
name: fmri-mahalanobis-bures-whitening
description: De-individualizing fMRI signals via Mahalanobis whitening and Bures geometry — quantum-motivated dimensionality reduction for brain imaging
category: neuroscience
trigger_words: [Mahalanobis, Bures distance, fMRI whitening, de-individualization, quantum geometry]
arxiv_id: 2511.07313
---
# De-Individualizing fMRI Signals via Mahalanobis Whitening and Bures Geometry

## Summary
Uses Mahalanobis data whitening to distill meaningful information from fMRI signals. Interprets whitening as two-stage de-individualization motivated by Bures distance, connected to quantum mechanics. Potential for improving Alzheimer's diagnosis accuracy.

## Core Methodology
- **Category**: q-bio.NC
- **Authors**: Aaron Jacobson, Tingting Dan, Martin Styner, Guorong Wu, Shahar Kovalsky, Caroline Moosmueller
- **arXiv**: [2511.07313](https://arxiv.org/abs/2511.07313)

## Key Concepts
- fMRI
- Mahalanobis whitening
- Bures distance
- quantum mechanics
- functional connectivity
- dimensionality reduction
- Alzheimer diagnosis

## Activation Triggers
Mahalanobis, Bures distance, fMRI whitening, de-individualization, quantum geometry