ArticleNeuroImage2016
Subject-level measurement of local cortical coupling.
Article in NeuroImage, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- In vivo mapping of cortical amyloid beta-myelin coupling in preclinical Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Central Obesity Disrupts Brain Network Organization in Aging via Metabolic and Structural Pathways.Aging and disease · 2025Article
- Prefrontal-hippocampal pathways underlying adolescent resilience.European child & adolescent psychiatry · 2025Article
- Mapping Individual Differences in Intermodal Coupling in Neurodevelopment.bioRxiv : the preprint server for biology · 2025Article
- Mapping individual differences in intermodal coupling in neurodevelopment.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Depression and metabolic connectivity: insights into the locus coeruleus, HF-rTMS, and anxiety.Translational psychiatry · 2024Article
- Similarity-based multimodal regression.Biostatistics (Oxford, England) · 2024Article
- Dynamic changes in subplate and cortical plate microstructure at the onset of cortical folding in vivo.bioRxiv : the preprint server for biology · 2024Article
- Topological abnormalities of the morphometric similarity network of the cerebral cortex in schizophrenia.Schizophrenia (Heidelberg, Germany) · 2024Article
- MVComp toolbox: MultiVariate Comparisons of brain MRI features accounting for common information across metrics.bioRxiv : the preprint server for biology · 2024Article
- Spatially-enhanced clusterwise inference for testing and localizing intermodal correspondence.NeuroImage · 2022Article
- Voxel-wise intermodal coupling analysis of two or more modalities using local covariance decomposition.Human brain mapping · 2022Article
- Cortical development coupling between surface area and sulcal depth on macaque brains.Brain structure & function · 2022Article
- Article
- A simple permutation-based test of intermodal correspondence.Human brain mapping · 2021Article
- A local group differences test for subject-level multivariate density neuroimaging outcomes.Biostatistics (Oxford, England) · 2021Article
- Predicting human inhibitory control from brain structural MRI.Brain imaging and behavior · 2020Article
- Imaging local genetic influences on cortical folding.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- MIMoSA: An Automated Method for Intermodal Segmentation Analysis of Multiple Sclerosis Brain Lesions.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2018Article
- Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
The human cortex is highly folded to allow for a massive expansion of surface area. Notably, the thickness of the cortex strongly depends on cortical topology, with gyral cortex sometimes twice as thick as sulcal cortex. We recently demonstrated that global differences in thickness between gyral and sulcal cortex continue to evolve throughout adolescence. However, human cortical development is spatially heterogeneous, and global comparisons lack power to detect localized differences in development or psychopathology. Here we extend previous work by proposing a new measure - local cortical coupling - that is sensitive to differences in the localized topological relationship between cortical thickness and sulcal depth. After estimation, subject-level coupling maps can be analyzed using standard neuroimaging analysis tools. Capitalizing on a large cross-sectional sample (n=932) of youth imaged as part of the Philadelphia Neurodevelopmental Cohort, we demonstrate that local coupling is spatially heterogeneous and exhibits nonlinear development-related trajectories. Moreover, we uncover sex differences in coupling that indicate divergent patterns of cortical topology. Developmental changes and sex differences in coupling support its potential as a neuroimaging phenotype for investigating neuropsychiatric disorders that are increasingly conceptualized as disorders of brain development. R code to estimate subject-level coupling maps from any two cortical surfaces generated by FreeSurfer is made publicly available along with this manuscript.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.