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Updated: Jul 17, 2025

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
Published on: November 8, 2012
Multi-Site Statistical Mapping of Along-Tract Microstructural Abnormalities in Bipolar Disorder with Diffusion MRI
Leila Nabulsi1,2, Bramsh Q Chandio1, Genevieve McPhilemy2
1Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, University of Southern California, Marina del Rey, CA 90292, USA.
This study mapped brain white matter differences in bipolar disorder (BD) using multisite diffusion MRI. Bipolar disorder was linked to altered microstructural integrity in key brain pathways, offering potential biomarkers.
Area of Science:
- Neuroimaging
- Neuroscience
- Psychiatry
Background:
- Bipolar disorder (BD) research seeks brain biomarkers for genetic and interventional studies.
- Previous diffusion MRI studies show white matter abnormalities in BD, but lack fine-scale spatial mapping along tracts.
- Large-scale, multisite studies are needed to enhance power and replicate findings in BD.
Approach:
- A multisite diffusion MRI study utilized BUndle ANalytics (BUAN) to analyze tractography data from 148 individuals with BD and 259 healthy controls across 6 sites.
- The approach involved extracting, mapping, and visualizing microstructural profiles along 3D fiber tract models.
- Site differences were modeled as random effects to investigate along-tract white matter (WM) microstructural differences between diagnostic groups.
Key Points:
- Group differences in white matter (WM) microstructural integrity were enhanced by integrating data from multiple sites.
- Bipolar disorder (BD) was associated with reduced mean fractional anisotropy (FA) in fronto-limbic, interhemispheric, and posterior pathways.
- Conversely, higher FA was observed in posterior bundles in individuals with BD compared to controls.
Conclusions:
- The BUAN pipeline effectively integrates tractography and anatomical information to capture unique along-tract effects in white matter (WM).
- This approach provides valuable insights into anatomical variations, potentially aiding in the classification of bipolar disorder (BD).
- The findings highlight the potential of fine-scale tract-based analysis for identifying biomarkers in BD.
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