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Updated: May 22, 2026
17:06
Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
Published on: November 8, 2012
General microstructure factor analysis of diffusion MRI in gray-matter predicts cognitive scores
Lucas Z Brito1, Ryan P Cabeen2, David H Laidlaw3
1Department of Physics, Harvard University, Cambridge, MA, 02140, USA; Department of Physics, Brown University, Providence, RI, 02912, USA.
Neuroimage
|May 20, 2026
Summary
Gray matter microstructure, measured using neurite orientation dispersion and density imaging (NODDI), reveals global patterns. These patterns, particularly isotropic volume fraction, predict cognitive performance, offering new biomarkers for brain studies.
Area of Science:
- Neuroimaging
- Cognitive Neuroscience
- Biomarkers
Background:
- Diffusion MRI (dMRI) excels at white matter analysis but is less explored in gray matter.
- Neurite orientation dispersion and density imaging (NODDI) offers advanced gray matter microstructure insights.
Purpose of the Study:
- To explore global gray matter microstructure using NODDI.
- To determine if these microstructural patterns predict cognitive performance.
Main Methods:
- Applied NODDI to diffusion MRI data from the Human Connectome Project Young Adult study.
- Used principal component analysis (PCA) to derive general gray matter microstructure factors.
- Correlated NODDI-derived factors with NIH Toolbox cognitive scores.
Main Results:
- A principal component factor from isotropic volume fraction captured significant inter-individual variability.
- This factor strongly correlated with reading, vocabulary, and cognitive fluidity scores.
- Global gray matter microstructure factors provide structure-function relationship markers.
Conclusions:
- Global gray matter microstructure factors, derived via PCA and NODDI, serve as valuable indicators of cognitive function.
- These findings extend beyond region-specific analyses, suggesting population-level biomarkers.
- This approach enhances understanding of cognition and cortical organization.
