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Updated: Jun 5, 2025
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Modeling the Functional Network for Spatial Navigation in the Human Brain
Published on: October 13, 2023
993
Individual Variability in the Structural Connectivity Architecture of the Human Brain.
Weijie Huang 黄伟杰1,2, Haojie Chen 陈豪杰2, Zhenzhao Liu 刘桢钊2
1School of Systems Science, Beijing Normal University, Beijing 100875, China.
Summary
Individual differences in brain structure are key to cognition. This study maps individual variability in structural connectivity (SC), finding it highest in limbic regions and linked to age and cognition.
Area of Science:
- Neuroscience
- Brain Imaging
- Human Anatomy
Background:
- Human brain structure and function show significant individual variability, influencing cognition and behavior.
- Functional connectivity variability is known, but individual variability in structural connectivity (SC) patterns remains largely uncharacterized.
Purpose of the Study:
- To create a detailed map of individual variability in structural connectivity (IVSC).
- To investigate the relationship between IVSC, aging, cortical structure, and cognitive function.
Main Methods:
- Diffusion MRI and tractography were applied to a large cohort (1,724 adults).
- Statistical analysis was used to chart IVSC patterns.
- A modified ridge regression model was developed to predict cognitive function.
Main Results:
- SC variability was highest in limbic regions and lowest in unimodal sensorimotor regions.
- Increased age correlated with higher IVSC across most brain areas.
- IVSC spatial distribution relates to cortical laminar differentiation and myelination.
- Idiographic brain mapping derived from IVSC significantly correlated with cognitive predictions.
Conclusions:
- This study provides a comprehensive map of IVSC in the adult human brain.
- IVSC is influenced by age, cortical organization, and myelination.
- IVSC patterns are linked to individual cognitive abilities, offering potential for predictive modeling.
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