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Combining functional and structural MRI reveals how adolescent brain networks change. This study links functional change patterns to gray matter volume, uncovering sex-specific differences in brain development.

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Area of Science:

  • Neuroscience
  • Developmental Psychology
  • Medical Imaging

Background:

  • Adolescent brain development involves complex functional and structural changes.
  • Functional MRI (fMRI) and structural MRI (sMRI) offer complementary views of brain dynamics.
  • Previous research identified functional change patterns (FCPs) in adolescent brains.

Purpose of the Study:

  • To link previously identified FCPs to brain structure using multimodal fusion.
  • To investigate sex-specific differences in the coupling of functional and structural brain changes.
  • To enhance understanding of adolescent brain development through integrated imaging analysis.

Main Methods:

  • Applied two multimodal fusion approaches to the Adolescent Brain and Cognitive Development (ABCD) dataset.
  • Evaluated voxelwise sMRI-FCP coupling to identify structural correlates of FCPs.
  • Utilized multiset canonical correlation analysis (mCCA) + joint independent component analysis (jICA) for symmetric fusion.

Main Results:

  • Identified significant associations between FCPs and gray matter volume (GMV) variations.
  • Discovered specific FCPs linked to structural changes in sensorimotor and cognitive control networks.
  • Observed stronger functional-structural coupling in females compared to males.

Conclusions:

  • Combined fMRI and sMRI approaches reveal intricate, sex-specific patterns of adolescent brain development.
  • Multimodal fusion enhances the understanding of dynamic brain connectivity and structure.
  • Findings highlight the importance of integrated analysis for a comprehensive view of neural maturation.