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  Relating quantitative 7T MRI across cortical depths to cytoarchitectonics, gene expression and connectomics

McColgan, P., Helbling, S., Vaculciakova, L., Pine, K., Wagstyl, K., Attar, F. M., et al. (2021). Relating quantitative 7T MRI across cortical depths to cytoarchitectonics, gene expression and connectomics. Human Brain Mapping. doi:10.1002/hbm.25595.

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 Creators:
McColgan, Peter1, 2, Author
Helbling, Saskia1, Author           
Vaculciakova, Lenka1, Author           
Pine, Kerrin1, Author           
Wagstyl, Konrad3, Author
Attar, Fakhereh Movahedian1, Author           
Edwards, Luke1, Author           
Papoutsi, Marina2, Author
Wei, Yongbin4, Author
Van den heuvel, Martijn Pieter4, Author
Tabrizi, Sarah J2, Author
Rees, Geraint3, Author
Weiskopf, Nikolaus1, 5, Author           
Affiliations:
1Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_2205649              
2Huntington’s Disease Centre, UCL Queen Square Institute of Neurology, University College London, United Kingdom, ou_persistent22              
3Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, United Kingdom, ou_persistent22              
4Complex Traits Genetics Lab, VU University Amsterdam, VU University Amsterdam, the Netherlands, ou_persistent22              
5Felix Bloch Institute for Solid State Physics, University of Leipzig, Germany, ou_persistent22              

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Free keywords: Gene expression; Histology; Neurodegeneration; Ultra-high field MRI
 Abstract: Ultra-high field MRI across the depth of the cortex has the potential to provide ana-
tomically precise biomarkers and mechanistic insights into neurodegenerative disease
like Huntington's disease that show layer-selective vulnerability. Here we compare
multi-parametric mapping (MPM) measures across cortical depths for a 7T 500 m
whole brain acquisition to (a) layer-specific cell measures from the von Economo his-
tology atlas, (b) layer-specific gene expression, using the Allen Human Brain atlas and
(c) white matter connections using high-fidelity diffusion tractography, at a 1.3 mm
isotropic voxel resolution, from a 300mT/m Connectom MRI system. We show that
R2*, but not R1, across cortical depths is highly correlated with layer-specific cell
number and layer-specific gene expression. R1- and R2*-weighted connectivity
strength of cortico-striatal and intra-hemispheric cortical white matter connections
was highly correlated with grey matter R1 and R2* across cortical depths. Limitations
of the layer-specific relationships demonstrated are at least in part related to the high
cross-correlations of von Economo atlas cell counts and layer-specific gene expres-
sion across cortical layers. These findings demonstrate the potential and limitations
of combining 7T MPMs, gene expression and white matter connections to provide an
anatomically precise framework for tracking neurodegenerative disease.

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Language(s): eng - English
 Dates: 2021-07-062021-07-17
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1002/hbm.25595
Other: online ahead of print
PMID: 34272784
 Degree: -

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Project name : -
Grant ID : 01EW1711A & B
Funding program : -
Funding organization : Bundesministerium für Bildung und Forschung
Project name : -
Grant ID : 616905
Funding program : -
Funding organization : European Research Council
Project name : -
Grant ID : 15.0137
Funding program : -
Funding organization : Scientific Education and Research Institute
Project name : -
Grant ID : 681094
Funding program : Horizon 2020
Funding organization : European Union

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Title: Human Brain Mapping
Source Genre: Journal
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Publ. Info: New York : Wiley-Liss
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: ISSN: 1065-9471
CoNE: https://pure.mpg.de/cone/journals/resource/954925601686