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Multiparametric and multilevel characterization of morphological alterations in patients with transient ischemic attack
Transient ischemic attack (TIA), an important risk factor for stroke, is associated with widespread disruptions of functional brain architecture. However, TIA‐related structural alterations are not well established. By analyzing structural MRI data from 50 TIA patients versus 40 healthy controls (HC...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8046078/ https://www.ncbi.nlm.nih.gov/pubmed/33463862 http://dx.doi.org/10.1002/hbm.25344 |
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author | Lv, Yating Wei, Wei Han, Xiujie Song, Yulin Han, Yu Zhou, Chengshu Zhou, Dan Zhang, Fuding Wu, Xiaoyan Liu, Jinling Zhao, Lijuan Zhang, Cairong Wang, Ningkai Wang, Jinhui |
author_facet | Lv, Yating Wei, Wei Han, Xiujie Song, Yulin Han, Yu Zhou, Chengshu Zhou, Dan Zhang, Fuding Wu, Xiaoyan Liu, Jinling Zhao, Lijuan Zhang, Cairong Wang, Ningkai Wang, Jinhui |
author_sort | Lv, Yating |
collection | PubMed |
description | Transient ischemic attack (TIA), an important risk factor for stroke, is associated with widespread disruptions of functional brain architecture. However, TIA‐related structural alterations are not well established. By analyzing structural MRI data from 50 TIA patients versus 40 healthy controls (HCs), here we systematically investigated TIA‐related morphological alterations in multiple cortical surface‐based indices (cortical thickness [CT], fractal dimension [FD], gyrification index [GI], and sulcal depth [SD]) at multiple levels (local topography, interregional connectivity and whole‐brain network topology). For the observed alterations, their associations with clinical risk factors and abilities as diagnostic and prognostic biomarkers were further examined. We found that compared with the HCs, the TIA patients showed widespread morphological alterations and the alterations depended on choices of morphological index and analytical level. Specifically, the patients exhibited: (a) regional CT decreases in the transverse temporal gyrus and lateral sulcus; (b) impaired FD‐ and GI‐based connectivity mainly involving visual, somatomotor and ventral attention networks and interhemispheric connections; and (c) altered GI‐based whole‐brain network efficiency and decreased FD‐based nodal centrality in the middle frontal gyrus. Moreover, the impaired morphological connectivity showed high sensitivities and specificities for distinguishing the patients from HCs. Altogether, these findings demonstrate the emergence of morphological index‐dependent and analytical level‐specific alterations in TIA, which provide novel insights into neurobiological mechanisms underlying TIA and may serve as potential biomarkers to help diagnosis of the disease. Meanwhile, our findings highlight the necessity of using multiparametric and multilevel approaches for a complete mapping of cerebral morphology in health and disease. |
format | Online Article Text |
id | pubmed-8046078 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-80460782021-04-16 Multiparametric and multilevel characterization of morphological alterations in patients with transient ischemic attack Lv, Yating Wei, Wei Han, Xiujie Song, Yulin Han, Yu Zhou, Chengshu Zhou, Dan Zhang, Fuding Wu, Xiaoyan Liu, Jinling Zhao, Lijuan Zhang, Cairong Wang, Ningkai Wang, Jinhui Hum Brain Mapp Research Articles Transient ischemic attack (TIA), an important risk factor for stroke, is associated with widespread disruptions of functional brain architecture. However, TIA‐related structural alterations are not well established. By analyzing structural MRI data from 50 TIA patients versus 40 healthy controls (HCs), here we systematically investigated TIA‐related morphological alterations in multiple cortical surface‐based indices (cortical thickness [CT], fractal dimension [FD], gyrification index [GI], and sulcal depth [SD]) at multiple levels (local topography, interregional connectivity and whole‐brain network topology). For the observed alterations, their associations with clinical risk factors and abilities as diagnostic and prognostic biomarkers were further examined. We found that compared with the HCs, the TIA patients showed widespread morphological alterations and the alterations depended on choices of morphological index and analytical level. Specifically, the patients exhibited: (a) regional CT decreases in the transverse temporal gyrus and lateral sulcus; (b) impaired FD‐ and GI‐based connectivity mainly involving visual, somatomotor and ventral attention networks and interhemispheric connections; and (c) altered GI‐based whole‐brain network efficiency and decreased FD‐based nodal centrality in the middle frontal gyrus. Moreover, the impaired morphological connectivity showed high sensitivities and specificities for distinguishing the patients from HCs. Altogether, these findings demonstrate the emergence of morphological index‐dependent and analytical level‐specific alterations in TIA, which provide novel insights into neurobiological mechanisms underlying TIA and may serve as potential biomarkers to help diagnosis of the disease. Meanwhile, our findings highlight the necessity of using multiparametric and multilevel approaches for a complete mapping of cerebral morphology in health and disease. John Wiley & Sons, Inc. 2021-01-19 /pmc/articles/PMC8046078/ /pubmed/33463862 http://dx.doi.org/10.1002/hbm.25344 Text en © 2021 The Authors. Human Brain Mapping published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Research Articles Lv, Yating Wei, Wei Han, Xiujie Song, Yulin Han, Yu Zhou, Chengshu Zhou, Dan Zhang, Fuding Wu, Xiaoyan Liu, Jinling Zhao, Lijuan Zhang, Cairong Wang, Ningkai Wang, Jinhui Multiparametric and multilevel characterization of morphological alterations in patients with transient ischemic attack |
title | Multiparametric and multilevel characterization of morphological alterations in patients with transient ischemic attack |
title_full | Multiparametric and multilevel characterization of morphological alterations in patients with transient ischemic attack |
title_fullStr | Multiparametric and multilevel characterization of morphological alterations in patients with transient ischemic attack |
title_full_unstemmed | Multiparametric and multilevel characterization of morphological alterations in patients with transient ischemic attack |
title_short | Multiparametric and multilevel characterization of morphological alterations in patients with transient ischemic attack |
title_sort | multiparametric and multilevel characterization of morphological alterations in patients with transient ischemic attack |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8046078/ https://www.ncbi.nlm.nih.gov/pubmed/33463862 http://dx.doi.org/10.1002/hbm.25344 |
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