» Articles » PMID: 28184415

A Systematic Relationship Between Functional Connectivity and Intracortical Myelin in the Human Cerebral Cortex

Overview
Journal Cereb Cortex
Specialty Neurology
Date 2017 Feb 11
PMID 28184415
Citations 129
Authors
Affiliations
Soon will be listed here.
Abstract

Research in the macaque monkey suggests that cortical areas with similar microstructure are more likely to be connected. Here, we examine this link in the human cerebral cortex using 2 magnetic resonance imaging (MRI) measures: quantitative  T1 maps, which are sensitive to intracortical myelin content and provide an in vivo proxy for cortical microstructure, and resting-state functional connectivity. Using ultrahigh-resolution MRI at 7 T and dedicated image processing tools, we demonstrate a systematic relationship between T1-based intracortical myelin content and functional connectivity. This effect is independent of the proximity of areas. We employ nonlinear dimensionality reduction to characterize connectivity components and identify specific aspects of functional connectivity that are linked to myelin content. Our results reveal a consistent spatial pattern throughout different analytic approaches. While functional connectivity and myelin content are closely linked in unimodal areas, the correspondence is lower in transmodal areas, especially in posteromedial cortex and the angular gyrus. Our findings are in agreement with comprehensive reports linking histologically assessed microstructure and connectivity in different mammalian species and extend them to the human cerebral cortex in vivo.

Citing Articles

Functional differentiation of the default and frontoparietal control networks predicts individual differences in creative achievement: evidence from macroscale cortical gradients.

Sassenberg T, Jung R, DeYoung C Cereb Cortex. 2025; 35(3).

PMID: 40056422 PMC: 11890067. DOI: 10.1093/cercor/bhaf046.


Identifying Biomarkers for Remyelination and Recovery in Multiple Sclerosis: A Measure of Progress.

Ricigliano V, Marenna S, Borrelli S, Camera V, Carnero Contentti E, Szejko N Biomedicines. 2025; 13(2).

PMID: 40002770 PMC: 11853245. DOI: 10.3390/biomedicines13020357.


Cortical modulation of BOLD signals in white matter.

Ding Z, Xu L, Gao Y, Zhao Y, Tan Y, Anderson A Res Sq. 2025; .

PMID: 39975934 PMC: 11838733. DOI: 10.21203/rs.3.rs-5931986/v1.


Myelination across cortical hierarchies and depths in humans and macaques.

Nishio M, Liu X, Mackey A, Arcaro M bioRxiv. 2025; .

PMID: 39975294 PMC: 11839058. DOI: 10.1101/2025.02.06.636851.


TR(Acking) Individuals Down: Exploring the Effect of Temporal Resolution in Resting-State Functional MRI Fingerprinting.

Cassone B, Saviola F, Tambalo S, Amico E, Hubner S, Sarubbo S Hum Brain Mapp. 2025; 46(2):e70125.

PMID: 39887794 PMC: 11780316. DOI: 10.1002/hbm.70125.


References
1.
Tustison N, Avants B, Cook P, Zheng Y, Egan A, Yushkevich P . N4ITK: improved N3 bias correction. IEEE Trans Med Imaging. 2010; 29(6):1310-20. PMC: 3071855. DOI: 10.1109/TMI.2010.2046908. View

2.
Buckner R, Krienen F . The evolution of distributed association networks in the human brain. Trends Cogn Sci. 2013; 17(12):648-65. DOI: 10.1016/j.tics.2013.09.017. View

3.
Glasser M, Coalson T, Robinson E, Hacker C, Harwell J, Yacoub E . A multi-modal parcellation of human cerebral cortex. Nature. 2016; 536(7615):171-178. PMC: 4990127. DOI: 10.1038/nature18933. View

4.
Honey C, Sporns O, Cammoun L, Gigandet X, Thiran J, Meuli R . Predicting human resting-state functional connectivity from structural connectivity. Proc Natl Acad Sci U S A. 2009; 106(6):2035-40. PMC: 2634800. DOI: 10.1073/pnas.0811168106. View

5.
Zilles K, Schleicher A, Langemann C, Amunts K, Morosan P, Palomero-Gallagher N . Quantitative analysis of sulci in the human cerebral cortex: development, regional heterogeneity, gender difference, asymmetry, intersubject variability and cortical architecture. Hum Brain Mapp. 2010; 5(4):218-21. DOI: 10.1002/(SICI)1097-0193(1997)5:4<218::AID-HBM2>3.0.CO;2-6. View