Exploring mesoscale brain connectivity variations and developing sex-specific tractography templates

This study investigates sex-based differences in brain microstructure and establishes sex-specific structural connectomes. Sex variations were analyzed using DTI metrics including fractional anisotropy (FA), mean diffusivity (MD), and radial diffusivity (RD), along with connectivity strength across 23 regions. Diffusion-weighted MRI data from 1065 healthy adults (490 males, 575 females) were processed using two pipelines. The first developed sex-specific templates using Q-space diffeomorphic reconstruction in DSI-Studio to align orientation distribution functions (ODFs) within sex-specific anatomical spaces. The second pipeline involved subject-wise analysis to investigate sex variations and validate template accuracy. Individual ODFs were reconstructed in subject-specific spaces. A modified FreeSurferSeg atlas was used for segmentation. Fiber tractography was performed using the Euler-tracking algorithm, with connection strength quantified as FA-weighted tract counts between region pairs. The results showed that sex-specific templates provided superior representation of population data, with lower root mean square error compared to cross-/mixed-sex templates. Significant sex differences were observed: females exhibited higher FA in 70 % of regions (p < 0.05), while males showed higher MD and RD in 91 % and 96 % of regions, respectively. Connectivity analysis revealed stronger connections in females for 70 % of region pairs, particularly between the corpus callosum and cerebral cortex/white matter. These findings confirm the need for sex-specific templates for accurate neuroimaging analysis. The observed microstructural patterns, such as higher FA/connectivity in females and greater diffusivity in males, indicate that biological factors contribute to sex-based differences in neurological conditions. For instance, incorporating these templates into biomechanical models could enhance research on traumatic brain injury.

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Publication Details

Journal
NeuroImage
Published
2025-10-18
DOI
https://doi.org/10.1016/j.neuroimage.2025.121545
Primary Topic
Advanced Neuroimaging Techniques and Applications
Type
article
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article

Exploring mesoscale brain connectivity variations and developing sex-specific tractography templates

Marzieh Hajiaghamemar, Bahram Jafari
NeuroImage
Advanced Neuroimaging Techniques and Applications
article

Exploring mesoscale brain connectivity variations and developing sex-specific tractography templates

Marzieh Hajiaghamemar, Bahram Jafari
article en

Abstract

This study investigates sex-based differences in brain microstructure and establishes sex-specific structural connectomes. Sex variations were analyzed using DTI metrics including fractional anisotropy (FA), mean diffusivity (MD), and radial diffusivity (RD), along with connectivity strength across 23 regions. Diffusion-weighted MRI data from 1065 healthy adults (490 males, 575 females) were processed using two pipelines. The first developed sex-specific templates using Q-space diffeomorphic reconstruction in DSI-Studio to align orientation distribution functions (ODFs) within sex-specific anatomical spaces. The second pipeline involved subject-wise analysis to investigate sex variations and validate template accuracy. Individual ODFs were reconstructed in subject-specific spaces. A modified FreeSurferSeg atlas was used for segmentation. Fiber tractography was performed using the Euler-tracking algorithm, with connection strength quantified as FA-weighted tract counts between region pairs. The results showed that sex-specific templates provided superior representation of population data, with lower root mean square error compared to cross-/mixed-sex templates. Significant sex differences were observed: females exhibited higher FA in 70 % of regions (p < 0.05), while males showed higher MD and RD in 91 % and 96 % of regions, respectively. Connectivity analysis revealed stronger connections in females for 70 % of region pairs, particularly between the corpus callosum and cerebral cortex/white matter. These findings confirm the need for sex-specific templates for accurate neuroimaging analysis. The observed microstructural patterns, such as higher FA/connectivity in females and greater diffusivity in males, indicate that biological factors contribute to sex-based differences in neurological conditions. For instance, incorporating these templates into biomechanical models could enhance research on traumatic brain injury.

NeuroImageVol. 322
The University of Texas at San Antonio (US)
Openalex Percentile: Top 56%
Advanced Neuroimaging Techniques and Applications
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