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  Depth-dependent intracortical myelin organization in the living human brain determined by in vivo ultra-high field magnetic resonance imaging

Sprooten, E., O'Halloran, R., Dinse, J., Lee, W. H., Moser, D. A., Doucet, G. E., et al. (2019). Depth-dependent intracortical myelin organization in the living human brain determined by in vivo ultra-high field magnetic resonance imaging. NeuroImage, 185, 27-34. doi:10.1016/j.neuroimage.2018.10.023.

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Sprooten, Emma1, 2, Author
O'Halloran, Rafael3, Author
Dinse, Juliane4, Author              
Lee, Won Hee5, Author
Moser, Dominik Andreas5, Author
Doucet, Gaelle Eve5, Author
Goodman, Morgan5, Author
Krinsky, Hannah5, Author
Paulino, Alejandro5, Author
Rasgon, Alexander5, Author
Leibu, Evan5, Author
Balchandani, Priti3, Author
Inglese, Matilde6, Author
Frangou, Sophia5, Author
1Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands, ou_persistent22              
2Department of Cognitive Neuroscience, Radboud University Medical Center, Nijmegen, the Netherlands, ou_persistent22              
3Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA, ou_persistent22              
4Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_2205649              
5Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA, ou_persistent22              
6Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA, ou_persistent22              


Free keywords: Ultra-high field; Neuroimaging; Cortical depth-levels; Myeloarchitecture
 Abstract: Background Intracortical myelin is a key determinant of neuronal synchrony and plasticity that underpin optimal brain function. Magnetic resonance imaging (MRI) facilitates the examination of intracortical myelin but presents with methodological challenges. Here we describe a whole-brain approach for the in vivo investigation of intracortical myelin in the human brain using ultra-high field MRI. Methods Twenty-five healthy adults were imaged in a 7 Tesla MRI scanner using diffusion-weighted imaging and a T1-weighted sequence optimized for intracortical myelin contrast. Using an automated pipeline, T1 values were extracted at 20 depth-levels from each of 148 cortical regions. In each cortical region, T1 values were used to infer myelin concentration and to construct a non-linearity index as a measure the spatial distribution of myelin across the cortical ribbon. The relationship of myelin concentration and the non-linearity index with other neuroanatomical properties were investigated. Five patients with multiple sclerosis were also assessed using the same protocol as positive controls. Results Intracortical T1 values decreased between the outer brain surface and the gray-white matter boundary following a slope that showed a slight leveling between 50% and 75% of cortical depth. Higher-order regions in the prefrontal, cingulate and insular cortices, displayed higher non-linearity indices than sensorimotor regions. Across all regions, there was a positive association between T1 values and non-linearity indices (P < 10−5). Both T1 values (P < 10−5) and non-linearity indices (P < 10−15) were associated with cortical thickness. Higher myelin concentration but only in the deepest cortical levels was associated with increased subcortical fractional anisotropy (P = 0.05). Conclusions We demonstrate the usefulness of an automatic, whole-brain method to perform depth-dependent examination of intracortical myelin organization. The extracted metrics, T1 values and the non-linearity index, have characteristic patterns across cortical regions, and are associated with thickness and underlying white matter microstructure.


Language(s): eng - English
 Dates: 2018-10-082017-12-032018-10-082018-10-092019-01-15
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.neuroimage.2018.10.023
PMID: 30312809
PMC: PMC6289812
Other: Epub 2018
 Degree: -



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Project name : -
Grant ID : R01MH113619
Funding program : -
Funding organization : National Institutes of Health (NIH)
Project name : -
Grant ID : -
Funding program : Hypatia Tenure Track Grant
Funding organization : Radboud University Medical Center, Netherlands
Project name : -
Grant ID : 25034
Funding program : NARSAD Young Investigator Grant
Funding organization : Brain and Behavior Research Foundation

Source 1

Title: NeuroImage
Source Genre: Journal
Publ. Info: Orlando, FL : Academic Press
Pages: - Volume / Issue: 185 Sequence Number: - Start / End Page: 27 - 34 Identifier: ISSN: 1053-8119
CoNE: https://pure.mpg.de/cone/journals/resource/954922650166