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September 17, 2025Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition0 citations

Nature and Nurture: Assessing Brain Heritability using Diffusion Tensor-Based Morphometry on Data from the Human Connectome Project

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RHRakibul HafizGKG. KislikMİM. Okan İrfanoğlu

Key Points

  • Brain heritability was significantly assessed using diffusion tensor-based morphometry, indicating genetic influence on brain volume.
  • Results showed that variations in brain volume among related individuals were distinguished better than microstructural features.
  • The study utilized data from the Human Connectome Project to characterize individual and experimental differences effectively.
  • These findings highlight the importance of both nature and nurture in understanding brain morphology and associated behaviors.

Abstract

Motivation: Individual differences in brain morphology among related individuals have been assessed using T1w-imaging. However, diffusion MRI (dMRI)-derived morphometry has been shown to be more informative than T1w. Goal(s): Apply diffusion tensor-based morphometry (DTBM) on the human connectome project (HCP) data to assess both biological heritability and experimental variability of brain volume. Approach: Obtain dMRI-derived volume difference maps for each related pair and assess heritability locally and globally across the brain. Results: Individual variability among related pairs and experimental variability were adequately characterized. Groups defined by genetic traits were better differentiated by volume differences than by differences in "microstructural features" assessed by DTI-derived metrics. Impact: The DTBM-derived results indicated that nature and nurture affect the brain 'size' more than 'tissue microstructure' (assessed by DTI metrics). This is potentially significant for future applications of DTBM in heritability analysis and their possible associations to behavioral features.

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Cite This Study

Hafiz et al. (2025) studied this question.

synapsesocial.com/papers/68d4597b31b076d99fa5cdd7https://doi.org/10.58530/2025/4050
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