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Updated: Mar 24, 2026

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
Published on: November 1, 2019
Subject-level measurement of local cortical coupling
Simon N Vandekar1, Russell T Shinohara2, Armin Raznahan3
1Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, PA 19104, USA.
Researchers developed a new method, local cortical coupling, to analyze brain development in youth. This measure reveals localized differences in cortical thickness and sulcal depth, offering insights into brain development and potential neuropsychiatric disorders.
Area of Science:
- Neuroimaging
- Developmental Neuroscience
- Computational Anatomy
Background:
- The human cortex is highly folded, with thickness varying between gyri and sulci.
- Cortical thickness differences evolve throughout adolescence, but development is spatially heterogeneous.
- Global comparisons may miss localized developmental variations or psychopathology.
Purpose of the Study:
- Introduce a novel measure, local cortical coupling, to assess localized topological relationships between cortical thickness and sulcal depth.
- Investigate spatial heterogeneity, developmental trajectories, and sex differences in local cortical coupling.
- Establish local cortical coupling as a potential neuroimaging phenotype for neuropsychiatric disorders.
Main Methods:
- Developed and applied the local cortical coupling measure.
- Utilized a large cross-sectional sample (n=932) of youth from the Philadelphia Neurodevelopmental Cohort.
- Analyzed subject-level coupling maps using standard neuroimaging tools.
Main Results:
- Local cortical coupling is spatially heterogeneous across the cortex.
- Coupling exhibits nonlinear developmental trajectories in youth.
- Significant sex differences in coupling suggest divergent patterns of cortical topology.
Conclusions:
- Local cortical coupling is a sensitive measure of localized cortical development.
- Developmental and sex differences in coupling highlight its potential for studying brain development.
- This novel phenotype may aid in investigating neuropsychiatric disorders linked to developmental abnormalities.
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