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The interindividual variability of multimodal brain connectivity maintains spatial heterogeneity and relates to tissue microstructure

Humans differ from each other in a wide range of biometrics, but to what extent brain connectivity varies between individuals remains largely unknown. By combining diffusion-weighted imaging (DWI) and magnetoencephalography (MEG), this study characterizes the inter-subject variability (ISV) of multi...

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Autores principales: Karahan, Esin, Tait, Luke, Si, Ruoguang, Özkan, Ayşegül, Szul, Maciek J., Graham, Kim S., Lawrence, Andrew D., Zhang, Jiaxiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9508245/
https://www.ncbi.nlm.nih.gov/pubmed/36151363
http://dx.doi.org/10.1038/s42003-022-03974-w
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author Karahan, Esin
Tait, Luke
Si, Ruoguang
Özkan, Ayşegül
Szul, Maciek J.
Graham, Kim S.
Lawrence, Andrew D.
Zhang, Jiaxiang
author_facet Karahan, Esin
Tait, Luke
Si, Ruoguang
Özkan, Ayşegül
Szul, Maciek J.
Graham, Kim S.
Lawrence, Andrew D.
Zhang, Jiaxiang
author_sort Karahan, Esin
collection PubMed
description Humans differ from each other in a wide range of biometrics, but to what extent brain connectivity varies between individuals remains largely unknown. By combining diffusion-weighted imaging (DWI) and magnetoencephalography (MEG), this study characterizes the inter-subject variability (ISV) of multimodal brain connectivity. Structural connectivity is characterized by higher ISV in association cortices including the core multiple-demand network and lower ISV in the sensorimotor cortex. MEG ISV exhibits frequency-dependent signatures, and the extent of MEG ISV is consistent with that of structural connectivity ISV in selective macroscopic cortical clusters. Across the cortex, the ISVs of structural connectivity and beta-band MEG functional connectivity are negatively associated with cortical myelin content indexed by the quantitative T1 relaxation rate measured by high-resolution 7 T MRI. Furthermore, MEG ISV from alpha to gamma bands relates to the hindrance and restriction of the white-matter tissue estimated by DWI microstructural models. Our findings depict the inter-relationship between the ISV of brain connectivity from multiple modalities, and highlight the role of tissue microstructure underpinning the ISV.
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spelling pubmed-95082452022-09-25 The interindividual variability of multimodal brain connectivity maintains spatial heterogeneity and relates to tissue microstructure Karahan, Esin Tait, Luke Si, Ruoguang Özkan, Ayşegül Szul, Maciek J. Graham, Kim S. Lawrence, Andrew D. Zhang, Jiaxiang Commun Biol Article Humans differ from each other in a wide range of biometrics, but to what extent brain connectivity varies between individuals remains largely unknown. By combining diffusion-weighted imaging (DWI) and magnetoencephalography (MEG), this study characterizes the inter-subject variability (ISV) of multimodal brain connectivity. Structural connectivity is characterized by higher ISV in association cortices including the core multiple-demand network and lower ISV in the sensorimotor cortex. MEG ISV exhibits frequency-dependent signatures, and the extent of MEG ISV is consistent with that of structural connectivity ISV in selective macroscopic cortical clusters. Across the cortex, the ISVs of structural connectivity and beta-band MEG functional connectivity are negatively associated with cortical myelin content indexed by the quantitative T1 relaxation rate measured by high-resolution 7 T MRI. Furthermore, MEG ISV from alpha to gamma bands relates to the hindrance and restriction of the white-matter tissue estimated by DWI microstructural models. Our findings depict the inter-relationship between the ISV of brain connectivity from multiple modalities, and highlight the role of tissue microstructure underpinning the ISV. Nature Publishing Group UK 2022-09-23 /pmc/articles/PMC9508245/ /pubmed/36151363 http://dx.doi.org/10.1038/s42003-022-03974-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Karahan, Esin
Tait, Luke
Si, Ruoguang
Özkan, Ayşegül
Szul, Maciek J.
Graham, Kim S.
Lawrence, Andrew D.
Zhang, Jiaxiang
The interindividual variability of multimodal brain connectivity maintains spatial heterogeneity and relates to tissue microstructure
title The interindividual variability of multimodal brain connectivity maintains spatial heterogeneity and relates to tissue microstructure
title_full The interindividual variability of multimodal brain connectivity maintains spatial heterogeneity and relates to tissue microstructure
title_fullStr The interindividual variability of multimodal brain connectivity maintains spatial heterogeneity and relates to tissue microstructure
title_full_unstemmed The interindividual variability of multimodal brain connectivity maintains spatial heterogeneity and relates to tissue microstructure
title_short The interindividual variability of multimodal brain connectivity maintains spatial heterogeneity and relates to tissue microstructure
title_sort interindividual variability of multimodal brain connectivity maintains spatial heterogeneity and relates to tissue microstructure
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9508245/
https://www.ncbi.nlm.nih.gov/pubmed/36151363
http://dx.doi.org/10.1038/s42003-022-03974-w
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