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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, Autor
O'Halloran, Rafael3, Autor
Dinse, Juliane4, Autor           
Lee, Won Hee5, Autor
Moser, Dominik Andreas5, Autor
Doucet, Gaelle Eve5, Autor
Goodman, Morgan5, Autor
Krinsky, Hannah5, Autor
Paulino, Alejandro5, Autor
Rasgon, Alexander5, Autor
Leibu, Evan5, Autor
Balchandani, Priti3, Autor
Inglese, Matilde6, Autor
Frangou, Sophia5, Autor
Affiliations:
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              

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Schlagwörter: Ultra-high field; Neuroimaging; Cortical depth-levels; Myeloarchitecture
 Zusammenfassung: 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.

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Sprache(n): eng - English
 Datum: 2018-10-082017-12-032018-10-082018-10-092019-01-15
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1016/j.neuroimage.2018.10.023
PMID: 30312809
PMC: PMC6289812
Anderer: Epub 2018
 Art des Abschluß: -

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Projektname : -
Grant ID : R01MH113619
Förderprogramm : -
Förderorganisation : National Institutes of Health (NIH)
Projektname : -
Grant ID : -
Förderprogramm : Hypatia Tenure Track Grant
Förderorganisation : Radboud University Medical Center, Netherlands
Projektname : -
Grant ID : 25034
Förderprogramm : NARSAD Young Investigator Grant
Förderorganisation : Brain and Behavior Research Foundation

Quelle 1

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Titel: NeuroImage
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: Orlando, FL : Academic Press
Seiten: - Band / Heft: 185 Artikelnummer: - Start- / Endseite: 27 - 34 Identifikator: ISSN: 1053-8119
CoNE: https://pure.mpg.de/cone/journals/resource/954922650166