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Aberrant Functional Connectivity of Resting State Networks in Transient Ischemic Attack
BACKGROUND: Transient ischemic attack (TIA) is usually defined as a neurologic ischemic disorder without permanent cerebral infarction. Studies have showed that patients with TIA can have lasting cognitive functional impairment. Inherent brain activity in the resting state is spatially organized in...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3741391/ https://www.ncbi.nlm.nih.gov/pubmed/23951069 http://dx.doi.org/10.1371/journal.pone.0071009 |
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author | Li, Rong Wang, Shanshan Zhu, Ling Guo, Jian Zeng, Ling Gong, Qiyong He, Li Chen, Huafu |
author_facet | Li, Rong Wang, Shanshan Zhu, Ling Guo, Jian Zeng, Ling Gong, Qiyong He, Li Chen, Huafu |
author_sort | Li, Rong |
collection | PubMed |
description | BACKGROUND: Transient ischemic attack (TIA) is usually defined as a neurologic ischemic disorder without permanent cerebral infarction. Studies have showed that patients with TIA can have lasting cognitive functional impairment. Inherent brain activity in the resting state is spatially organized in a set of specific coherent patterns named resting state networks (RSNs), which epitomize the functional architecture of memory, language, attention, visual, auditory and somato-motor networks. Here, we aimed to detect differences in RSNs between TIA patients and healthy controls (HCs). METHODS: Twenty one TIA patients suffered an ischemic event and 21 matched HCs were enrolled in the study. All subjects were investigated using cognitive tests, psychiatric tests and functional magnetic resonance imaging (fMRI). Independent component analysis (ICA) was adopted to acquire the eight brain RSNs. Then one-sample t-tests were calculated in each group to gather the spatial maps of each RSNs, followed by second level analysis to investigate statistical differences on RSNs between twenty one TIA patients and 21 controls. Furthermore, a correlation analysis was performed to explore the relationship between functional connectivity (FC) and cognitive and psychiatric scales in TIA group. RESULTS: Compared with the controls, TIA patients exhibited both decreased and increased functional connectivity in default mode network (DMN) and self-referential network (SRN), and decreased functional connectivity in dorsal attention network (DAN), central-executive network (CEN), core network (CN), somato-motor network (SMN), visual network (VN) and auditory network (AN). There was no correlation between neuropsychological scores and functional connectivity in regions of RSNs. CONCLUSIONS: We observed selective impairments of RSN intrinsic FC in TIA patients, whose all eight RSNs had aberrant functional connectivity. These changes indicate that TIA is a disease with widely abnormal brain networks. Our results might put forward a novel way to look into neuro-pathophysiological mechanisms in TIA patients. |
format | Online Article Text |
id | pubmed-3741391 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-37413912013-08-15 Aberrant Functional Connectivity of Resting State Networks in Transient Ischemic Attack Li, Rong Wang, Shanshan Zhu, Ling Guo, Jian Zeng, Ling Gong, Qiyong He, Li Chen, Huafu PLoS One Research Article BACKGROUND: Transient ischemic attack (TIA) is usually defined as a neurologic ischemic disorder without permanent cerebral infarction. Studies have showed that patients with TIA can have lasting cognitive functional impairment. Inherent brain activity in the resting state is spatially organized in a set of specific coherent patterns named resting state networks (RSNs), which epitomize the functional architecture of memory, language, attention, visual, auditory and somato-motor networks. Here, we aimed to detect differences in RSNs between TIA patients and healthy controls (HCs). METHODS: Twenty one TIA patients suffered an ischemic event and 21 matched HCs were enrolled in the study. All subjects were investigated using cognitive tests, psychiatric tests and functional magnetic resonance imaging (fMRI). Independent component analysis (ICA) was adopted to acquire the eight brain RSNs. Then one-sample t-tests were calculated in each group to gather the spatial maps of each RSNs, followed by second level analysis to investigate statistical differences on RSNs between twenty one TIA patients and 21 controls. Furthermore, a correlation analysis was performed to explore the relationship between functional connectivity (FC) and cognitive and psychiatric scales in TIA group. RESULTS: Compared with the controls, TIA patients exhibited both decreased and increased functional connectivity in default mode network (DMN) and self-referential network (SRN), and decreased functional connectivity in dorsal attention network (DAN), central-executive network (CEN), core network (CN), somato-motor network (SMN), visual network (VN) and auditory network (AN). There was no correlation between neuropsychological scores and functional connectivity in regions of RSNs. CONCLUSIONS: We observed selective impairments of RSN intrinsic FC in TIA patients, whose all eight RSNs had aberrant functional connectivity. These changes indicate that TIA is a disease with widely abnormal brain networks. Our results might put forward a novel way to look into neuro-pathophysiological mechanisms in TIA patients. Public Library of Science 2013-08-12 /pmc/articles/PMC3741391/ /pubmed/23951069 http://dx.doi.org/10.1371/journal.pone.0071009 Text en © 2013 Li et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Li, Rong Wang, Shanshan Zhu, Ling Guo, Jian Zeng, Ling Gong, Qiyong He, Li Chen, Huafu Aberrant Functional Connectivity of Resting State Networks in Transient Ischemic Attack |
title | Aberrant Functional Connectivity of Resting State Networks in Transient Ischemic Attack |
title_full | Aberrant Functional Connectivity of Resting State Networks in Transient Ischemic Attack |
title_fullStr | Aberrant Functional Connectivity of Resting State Networks in Transient Ischemic Attack |
title_full_unstemmed | Aberrant Functional Connectivity of Resting State Networks in Transient Ischemic Attack |
title_short | Aberrant Functional Connectivity of Resting State Networks in Transient Ischemic Attack |
title_sort | aberrant functional connectivity of resting state networks in transient ischemic attack |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3741391/ https://www.ncbi.nlm.nih.gov/pubmed/23951069 http://dx.doi.org/10.1371/journal.pone.0071009 |
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