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Alteration of spatial patterns at the network-level in facial synkinesis: an independent component and connectome analysis

BACKGROUND: The treatment of post-facial palsy synkinesis (PFPS) remains inadequate. Previous studies have confirmed that brain plasticity is involved in the process of functional restoration. Isolated activation has been well studied, however, the brain works as an integrity of several isolated reg...

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Autores principales: Ma, Zhen-Zhen, Lu, Ye-Chen, Wu, Jia-Jia, Li, Si-Si, Ding, Wei, Xu, Jian-Guang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7940883/
https://www.ncbi.nlm.nih.gov/pubmed/33708867
http://dx.doi.org/10.21037/atm-20-4865
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author Ma, Zhen-Zhen
Lu, Ye-Chen
Wu, Jia-Jia
Li, Si-Si
Ding, Wei
Xu, Jian-Guang
author_facet Ma, Zhen-Zhen
Lu, Ye-Chen
Wu, Jia-Jia
Li, Si-Si
Ding, Wei
Xu, Jian-Guang
author_sort Ma, Zhen-Zhen
collection PubMed
description BACKGROUND: The treatment of post-facial palsy synkinesis (PFPS) remains inadequate. Previous studies have confirmed that brain plasticity is involved in the process of functional restoration. Isolated activation has been well studied, however, the brain works as an integrity of several isolated regions. This study aimed to assess the alteration of the brain network topology with overall and local characteristics of information dissemination. Understanding the neural mechanisms of PFPS could help to improve therapy options and prognosis. METHODS: Patients with facial synkinesis and healthy controls (HCs) were estimated using functional magnetic resonance imaging (fMRI) of resting-state. Subsequently, an independent component analysis (ICA) was used to extract four subnets from the whole brain. Then we used the measurements of graph theory and calculated in the whole-brain network and each sub-network. RESULTS: We found no significant difference between the patient group and the HCs on the whole-brain scale. Then we identified four subnetworks from the resting-state data. In the sub-network property analysis, patients’ locally distributed properties in the sensorimotor network (SMN) and ventral default mode network (vDMN) were reduced. It revealed that γ (10,000 permutations, P=0.048) and S (10,000 permutations, P=0.022) within the SMN progressively decreased in patients with PFPS. For the analysis of vDMN, significant differences were found in γ (10,000 permutations, P=0.019), Elocal (10,000 permutations, P=0.008), and β (10,000 permutations, P=0.011) between the groups. CONCLUSIONS: Our results demonstrated a reduction in local network processing efficiency in patients with PFPS. Therefore, we speculate that decreased characteristics in the intra-vDMN and intra-SMN, rather than the whole-brain network, may serve distinct symptoms such as facial nerve damage or more synkinetic movements. This finding of the alteration of network properties is a small step forward to help uncover the underlying mechanism.
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spelling pubmed-79408832021-03-10 Alteration of spatial patterns at the network-level in facial synkinesis: an independent component and connectome analysis Ma, Zhen-Zhen Lu, Ye-Chen Wu, Jia-Jia Li, Si-Si Ding, Wei Xu, Jian-Guang Ann Transl Med Original Article BACKGROUND: The treatment of post-facial palsy synkinesis (PFPS) remains inadequate. Previous studies have confirmed that brain plasticity is involved in the process of functional restoration. Isolated activation has been well studied, however, the brain works as an integrity of several isolated regions. This study aimed to assess the alteration of the brain network topology with overall and local characteristics of information dissemination. Understanding the neural mechanisms of PFPS could help to improve therapy options and prognosis. METHODS: Patients with facial synkinesis and healthy controls (HCs) were estimated using functional magnetic resonance imaging (fMRI) of resting-state. Subsequently, an independent component analysis (ICA) was used to extract four subnets from the whole brain. Then we used the measurements of graph theory and calculated in the whole-brain network and each sub-network. RESULTS: We found no significant difference between the patient group and the HCs on the whole-brain scale. Then we identified four subnetworks from the resting-state data. In the sub-network property analysis, patients’ locally distributed properties in the sensorimotor network (SMN) and ventral default mode network (vDMN) were reduced. It revealed that γ (10,000 permutations, P=0.048) and S (10,000 permutations, P=0.022) within the SMN progressively decreased in patients with PFPS. For the analysis of vDMN, significant differences were found in γ (10,000 permutations, P=0.019), Elocal (10,000 permutations, P=0.008), and β (10,000 permutations, P=0.011) between the groups. CONCLUSIONS: Our results demonstrated a reduction in local network processing efficiency in patients with PFPS. Therefore, we speculate that decreased characteristics in the intra-vDMN and intra-SMN, rather than the whole-brain network, may serve distinct symptoms such as facial nerve damage or more synkinetic movements. This finding of the alteration of network properties is a small step forward to help uncover the underlying mechanism. AME Publishing Company 2021-02 /pmc/articles/PMC7940883/ /pubmed/33708867 http://dx.doi.org/10.21037/atm-20-4865 Text en 2021 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Ma, Zhen-Zhen
Lu, Ye-Chen
Wu, Jia-Jia
Li, Si-Si
Ding, Wei
Xu, Jian-Guang
Alteration of spatial patterns at the network-level in facial synkinesis: an independent component and connectome analysis
title Alteration of spatial patterns at the network-level in facial synkinesis: an independent component and connectome analysis
title_full Alteration of spatial patterns at the network-level in facial synkinesis: an independent component and connectome analysis
title_fullStr Alteration of spatial patterns at the network-level in facial synkinesis: an independent component and connectome analysis
title_full_unstemmed Alteration of spatial patterns at the network-level in facial synkinesis: an independent component and connectome analysis
title_short Alteration of spatial patterns at the network-level in facial synkinesis: an independent component and connectome analysis
title_sort alteration of spatial patterns at the network-level in facial synkinesis: an independent component and connectome analysis
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7940883/
https://www.ncbi.nlm.nih.gov/pubmed/33708867
http://dx.doi.org/10.21037/atm-20-4865
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