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Updated: Aug 5, 2025
14:27
Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
Published on: June 26, 2013
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General and specific patterns of cortical gene expression as spatial correlates of complex cognitive functioning.
Joanna E Moodie1,2, Sarah E Harris1, Mathew A Harris1
1Lothian Birth Cohorts, Department of Psychology, The University of Edinburgh, UK.
Biorxiv : the Preprint Server for Biology
|March 30, 2023
Summary
Gene expression in the brain follows general rules, influencing cognitive functions. Specific genes linked to general cognitive ability (g) show unique spatial patterns in the cortex.
Area of Science:
- Neuroscience
- Genomics
- Systems Biology
Background:
- Gene expression exhibits spatial variation across the brain, supporting specialized functions.
- Understanding these patterns offers insights into the molecular basis of complex cognitive functions.
Approach:
- Principal component analysis (PCA) was used to analyze gene expression data from 8235 genes across cortical regions.
- Gene ontology analysis identified key biological processes associated with the identified principal components.
Key Points:
- Two major principal components explained gene expression covariation, linked to cell-signaling and transcription factor regulation.
- Brain regions associated with general cognitive ability (g) showed a balanced expression profile across these components.
- Forty-one candidate genes spatially correlated with g were identified, distinct from the major components.
Conclusions:
- Cortical gene expression patterns are organized by general regulatory principles.
- These patterns are associated with individual differences in cognitive functioning.
- Identified genes offer potential links to neurodegenerative and psychiatric disorders.
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