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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., Edwards, L., Papoutsi, M., Wei, Y., Van den heuvel, M. P., Tabrizi, S. J., Rees, G., & Weiskopf, N. (2021). Relating quantitative 7T MRI across cortical depths to cytoarchitectonics, gene expression and connectomics. Human Brain Mapping, 42(15), 4996-5009. doi:10.1002/hbm.25595.

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アイテムのパーマリンク: https://hdl.handle.net/21.11116/0000-0009-1CC0-F 版のパーマリンク: https://hdl.handle.net/21.11116/0000-000B-22F9-6
資料種別: 学術論文

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McColgan.pdf (出版社版), 2MB
ファイルのパーマリンク:
https://hdl.handle.net/21.11116/0000-0009-1CC2-D
ファイル名:
McColgan.pdf
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Gold
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公開
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application/pdf / [MD5]
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作成者

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 作成者:
McColgan, Peter1, 2, 著者
Helbling, Saskia1, 著者           
Vaculciakova, Lenka1, 著者           
Pine, Kerrin1, 著者           
Wagstyl, Konrad3, 著者
Attar, Fakhereh Movahedian1, 著者           
Edwards, Luke1, 著者           
Papoutsi, Marina2, 著者
Wei, Yongbin4, 著者
Van den heuvel, Martijn Pieter4, 著者
Tabrizi, Sarah J2, 著者
Rees, Geraint3, 著者
Weiskopf, Nikolaus1, 5, 著者           
所属:
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              

内容説明

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キーワード: Gene expression; Histology; Neurodegeneration; Ultra-high field MRI
 要旨: 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.

資料詳細

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言語: eng - English
 日付: 2021-07-062021-07-172021-10-15
 出版の状態: 出版
 ページ: -
 出版情報: -
 目次: -
 査読: -
 識別子(DOI, ISBNなど): DOI: 10.1002/hbm.25595
その他: epub 2021
PMID: 34272784
 学位: -

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Project information

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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

出版物 1

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出版物名: Human Brain Mapping
種別: 学術雑誌
 著者・編者:
所属:
出版社, 出版地: New York : Wiley-Liss
ページ: - 巻号: 42 (15) 通巻号: - 開始・終了ページ: 4996 - 5009 識別子(ISBN, ISSN, DOIなど): ISSN: 1065-9471
CoNE: https://pure.mpg.de/cone/journals/resource/954925601686