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Dysfunctional Dynamics of Intra- and Inter-network Connectivity in Dementia With Lewy Bodies
Dementia with Lewy bodies (DLB) is characterized by the transient fluctuating cognition and recurrent visual hallucinations, which may be caused by disorders of the intrinsic brain network dynamics. However, little is known regarding the dynamic features of the brain network behind these symptoms in...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6902076/ https://www.ncbi.nlm.nih.gov/pubmed/31849824 http://dx.doi.org/10.3389/fneur.2019.01265 |
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author | Ma, Wen-Ying Yao, Qun Hu, Guan-jie Xiao, Chao-Yong Shi, Jing-Ping Chen, Jiu |
author_facet | Ma, Wen-Ying Yao, Qun Hu, Guan-jie Xiao, Chao-Yong Shi, Jing-Ping Chen, Jiu |
author_sort | Ma, Wen-Ying |
collection | PubMed |
description | Dementia with Lewy bodies (DLB) is characterized by the transient fluctuating cognition and recurrent visual hallucinations, which may be caused by disorders of the intrinsic brain network dynamics. However, little is known regarding the dynamic features of the brain network behind these symptoms in DLB. In the present study, the intra- and inter-brain network dynamics were explored on a time scale in 17 DLB and 20 healthy controls (HC) applying a sliding-window method followed by k-means clustering analysis. To further evaluate the impact of network dynamics on brain performance, the local and global efficiency of the brain network was calculated. Compared with HC, the dynamic functional connectivity variation matrix in DLB patients was represented by a mixed change of intra-network increase and inter-network decrease. DLB patients devoted more time to a negative connectivity pattern, which represents a state of functional separation. Furthermore, the local efficiency of DLB patients was significantly lower compared with HC. These observations indicate an altered dynamic variability and disorders to the time allocation of state sequences in DLB, which might result in a disturbance of the intricate brain network dynamic properties, thereby leading to a lack of integration and flexibility and an ineffective brain function. In conclusion, dynamic functional connectivity analysis could identify differences between DLB and HC, providing evidences for DLB diagnosis and contributing to the understanding of the widespread clinical features and complex treatment strategies in DLB patients. |
format | Online Article Text |
id | pubmed-6902076 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-69020762019-12-17 Dysfunctional Dynamics of Intra- and Inter-network Connectivity in Dementia With Lewy Bodies Ma, Wen-Ying Yao, Qun Hu, Guan-jie Xiao, Chao-Yong Shi, Jing-Ping Chen, Jiu Front Neurol Neurology Dementia with Lewy bodies (DLB) is characterized by the transient fluctuating cognition and recurrent visual hallucinations, which may be caused by disorders of the intrinsic brain network dynamics. However, little is known regarding the dynamic features of the brain network behind these symptoms in DLB. In the present study, the intra- and inter-brain network dynamics were explored on a time scale in 17 DLB and 20 healthy controls (HC) applying a sliding-window method followed by k-means clustering analysis. To further evaluate the impact of network dynamics on brain performance, the local and global efficiency of the brain network was calculated. Compared with HC, the dynamic functional connectivity variation matrix in DLB patients was represented by a mixed change of intra-network increase and inter-network decrease. DLB patients devoted more time to a negative connectivity pattern, which represents a state of functional separation. Furthermore, the local efficiency of DLB patients was significantly lower compared with HC. These observations indicate an altered dynamic variability and disorders to the time allocation of state sequences in DLB, which might result in a disturbance of the intricate brain network dynamic properties, thereby leading to a lack of integration and flexibility and an ineffective brain function. In conclusion, dynamic functional connectivity analysis could identify differences between DLB and HC, providing evidences for DLB diagnosis and contributing to the understanding of the widespread clinical features and complex treatment strategies in DLB patients. Frontiers Media S.A. 2019-12-03 /pmc/articles/PMC6902076/ /pubmed/31849824 http://dx.doi.org/10.3389/fneur.2019.01265 Text en Copyright © 2019 Ma, Yao, Hu, Xiao, Shi and Chen. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neurology Ma, Wen-Ying Yao, Qun Hu, Guan-jie Xiao, Chao-Yong Shi, Jing-Ping Chen, Jiu Dysfunctional Dynamics of Intra- and Inter-network Connectivity in Dementia With Lewy Bodies |
title | Dysfunctional Dynamics of Intra- and Inter-network Connectivity in Dementia With Lewy Bodies |
title_full | Dysfunctional Dynamics of Intra- and Inter-network Connectivity in Dementia With Lewy Bodies |
title_fullStr | Dysfunctional Dynamics of Intra- and Inter-network Connectivity in Dementia With Lewy Bodies |
title_full_unstemmed | Dysfunctional Dynamics of Intra- and Inter-network Connectivity in Dementia With Lewy Bodies |
title_short | Dysfunctional Dynamics of Intra- and Inter-network Connectivity in Dementia With Lewy Bodies |
title_sort | dysfunctional dynamics of intra- and inter-network connectivity in dementia with lewy bodies |
topic | Neurology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6902076/ https://www.ncbi.nlm.nih.gov/pubmed/31849824 http://dx.doi.org/10.3389/fneur.2019.01265 |
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