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Brain morphometric similarity and flexibility
Cerebral Cortex Communications, Volume: 3, Issue: 3
Swansea University Author:
Vesna Vuksanovic
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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...
Published in: | Cerebral Cortex Communications |
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ISSN: | 2632-7376 |
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Oxford University Press (OUP)
2022
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URI: | https://cronfa.swan.ac.uk/Record/cronfa60224 |
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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 |
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a1a6e2bd0b6ee99f648abb6201dea474 |
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a1a6e2bd0b6ee99f648abb6201dea474_***_Vesna Vuksanovic |
author |
Vesna Vuksanovic |
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Vesna Vuksanovic |
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Cerebral Cortex Communications |
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10.1093/texcom/tgac024 |
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Oxford University Press (OUP) |
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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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11.021648 |