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Brain morphometric similarity and flexibility

Vesna Vuksanovic Orcid Logo

Cerebral Cortex Communications, Volume: 3, Issue: 3

Swansea University Author: Vesna Vuksanovic Orcid Logo

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DOI (Published version): 10.1093/texcom/tgac024

Abstract

This study aimed to investigate the modular organization of the cortical surface morphometric similarity networks (MSNs) through the representation of the cortex as a multilayer network. Studying the cortex through the MSNs multilayers have revealed some network properties that could not be evaluate...

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Published in: Cerebral Cortex Communications
ISSN: 2632-7376
Published: Oxford University Press (OUP) 2022
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URI: https://cronfa.swan.ac.uk/Record/cronfa60224
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first_indexed 2022-06-14T15:55:45Z
last_indexed 2023-01-13T19:20:11Z
id cronfa60224
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spelling 2022-11-08T10:08:43.7897149 v2 60224 2022-06-14 Brain morphometric similarity and flexibility a1a6e2bd0b6ee99f648abb6201dea474 0000-0003-4655-698X Vesna Vuksanovic Vesna Vuksanovic true false 2022-06-14 HDAT This study aimed to investigate the modular organization of the cortical surface morphometric similarity networks (MSNs) through the representation of the cortex as a multilayer network. Studying the cortex through the MSNs multilayers have revealed some network properties that could not be evaluated using conventional network metrics. For the first time, this study has mapped flexible and inflexible morphometric similarity hubs, and evidence has been provided about variations of the modular network topology across the multilayers with age and IQ. The results contribute to understanding of intra-regional characteristics in cortical interactions, which potentially can be used to map heterogeneous neurodegeneration patterns in diseased brains. Journal Article Cerebral Cortex Communications 3 3 Oxford University Press (OUP) 2632-7376 morphometric similarity network, multilayer networks, flexibility, general intelligence, ageing 15 7 2022 2022-07-15 10.1093/texcom/tgac024 COLLEGE NANME Health Data Science COLLEGE CODE HDAT Swansea University External research funder(s) paid the OA fee (includes OA grants disbursed by the Library) The author received financial support for publication by a UK Research & Innovation (UKRI) Medical Research Council (MRC) grant Health Data Research (HDR9006). 2022-11-08T10:08:43.7897149 2022-06-14T16:52:44.8573661 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine Vesna Vuksanovic 0000-0003-4655-698X 1 60224__24652__274c4f7d20a74901bd00bbcdc13491ab.pdf CerCortComm_VV22_tgac024.pdf 2022-07-20T08:18:42.4877167 Output 1317428 application/pdf Version of Record true © The Author(s) 2022. This is an Open Access article distributed under the terms of the Creative Commons Attribution License true eng https://creativecommons.org/licenses/by/4.0/
title Brain morphometric similarity and flexibility
spellingShingle Brain morphometric similarity and flexibility
Vesna Vuksanovic
title_short Brain morphometric similarity and flexibility
title_full Brain morphometric similarity and flexibility
title_fullStr Brain morphometric similarity and flexibility
title_full_unstemmed Brain morphometric similarity and flexibility
title_sort Brain morphometric similarity and flexibility
author_id_str_mv a1a6e2bd0b6ee99f648abb6201dea474
author_id_fullname_str_mv a1a6e2bd0b6ee99f648abb6201dea474_***_Vesna Vuksanovic
author Vesna Vuksanovic
author2 Vesna Vuksanovic
format Journal article
container_title Cerebral Cortex Communications
container_volume 3
container_issue 3
publishDate 2022
institution Swansea University
issn 2632-7376
doi_str_mv 10.1093/texcom/tgac024
publisher Oxford University Press (OUP)
college_str Faculty of Medicine, Health and Life Sciences
hierarchytype
hierarchy_top_id facultyofmedicinehealthandlifesciences
hierarchy_top_title Faculty of Medicine, Health and Life Sciences
hierarchy_parent_id facultyofmedicinehealthandlifesciences
hierarchy_parent_title Faculty of Medicine, Health and Life Sciences
department_str Swansea University Medical School - Medicine{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Medicine
document_store_str 1
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description This study aimed to investigate the modular organization of the cortical surface morphometric similarity networks (MSNs) through the representation of the cortex as a multilayer network. Studying the cortex through the MSNs multilayers have revealed some network properties that could not be evaluated using conventional network metrics. For the first time, this study has mapped flexible and inflexible morphometric similarity hubs, and evidence has been provided about variations of the modular network topology across the multilayers with age and IQ. The results contribute to understanding of intra-regional characteristics in cortical interactions, which potentially can be used to map heterogeneous neurodegeneration patterns in diseased brains.
published_date 2022-07-15T04:18:09Z
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score 11.021648

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