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Faded Critical Dynamics in Adult Moyamoya Disease Revealed by EEG and fMRI

Criticality is considered a dynamic signature of healthy brain activity that can be measured on the short-term timescale with neural avalanches and long-term timescale with long-range temporal correlation (LRTC). It is unclear how the brain dynamics change in adult moyamoya disease (MMD). We used BO...

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Autores principales: Lei, Yu, Li, Yuzhu, Yu, Lianchun, Xu, Longzhou, Zhang, Xin, Zheng, Gaoxing, Chen, Liang, Zhang, Wei, Qi, Xiaoying, Gu, Yuxiang, Yu, Yuguo, Mao, Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8064775/
https://www.ncbi.nlm.nih.gov/pubmed/33953833
http://dx.doi.org/10.1155/2021/6640108
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author Lei, Yu
Li, Yuzhu
Yu, Lianchun
Xu, Longzhou
Zhang, Xin
Zheng, Gaoxing
Chen, Liang
Zhang, Wei
Qi, Xiaoying
Gu, Yuxiang
Yu, Yuguo
Mao, Ying
author_facet Lei, Yu
Li, Yuzhu
Yu, Lianchun
Xu, Longzhou
Zhang, Xin
Zheng, Gaoxing
Chen, Liang
Zhang, Wei
Qi, Xiaoying
Gu, Yuxiang
Yu, Yuguo
Mao, Ying
author_sort Lei, Yu
collection PubMed
description Criticality is considered a dynamic signature of healthy brain activity that can be measured on the short-term timescale with neural avalanches and long-term timescale with long-range temporal correlation (LRTC). It is unclear how the brain dynamics change in adult moyamoya disease (MMD). We used BOLD-fMRI for LRTC analysis from 16 hemorrhagic (H(MMD)) and 34 ischemic (I(MMD)) patients and 25 healthy controls. Afterwards, they were examined by EEG recordings in the eyes-closed (EC), eyes-open (EO), and working memory (WM) states. The EEG data of 11 H(MMD) and 13 I(MMD) patients and 21 healthy controls were in good quality for analysis. Regarding the 4 metrics of neural avalanches (e.g., size (α), duration (β), κ value, and branching parameter (σ)), both MMD subtypes exhibited subcritical states in the EC state. When switching to the WM state, H(MMD) remained inactive, while I(MMD) surpassed controls and became supercritical (p < 0.05). Regarding LRTC, the amplitude envelope in the EC state was more analogous to random noise in the MMD patients than in controls. During state transitions, LRTC decreased sharply in the controls but remained chaotic in the MMD individuals (p < 0.05). The spatial LRTC reduction distribution based on both EEG and fMRI in the EC state implied that, compared with controls, the two MMD subtypes might exhibit mutually independent but partially overlapping patterns. The regions showing decreased LRTC in both EEG and fMRI were the left supplemental motor area of H(MMD) and right pre-/postcentral gyrus and right inferior temporal gyrus of I(MMD). This study not only sheds light on the decayed critical dynamics of MMD in both the resting and task states for the first time but also proposes several EEG and fMRI features to identify its two subtypes.
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spelling pubmed-80647752021-05-04 Faded Critical Dynamics in Adult Moyamoya Disease Revealed by EEG and fMRI Lei, Yu Li, Yuzhu Yu, Lianchun Xu, Longzhou Zhang, Xin Zheng, Gaoxing Chen, Liang Zhang, Wei Qi, Xiaoying Gu, Yuxiang Yu, Yuguo Mao, Ying Oxid Med Cell Longev Research Article Criticality is considered a dynamic signature of healthy brain activity that can be measured on the short-term timescale with neural avalanches and long-term timescale with long-range temporal correlation (LRTC). It is unclear how the brain dynamics change in adult moyamoya disease (MMD). We used BOLD-fMRI for LRTC analysis from 16 hemorrhagic (H(MMD)) and 34 ischemic (I(MMD)) patients and 25 healthy controls. Afterwards, they were examined by EEG recordings in the eyes-closed (EC), eyes-open (EO), and working memory (WM) states. The EEG data of 11 H(MMD) and 13 I(MMD) patients and 21 healthy controls were in good quality for analysis. Regarding the 4 metrics of neural avalanches (e.g., size (α), duration (β), κ value, and branching parameter (σ)), both MMD subtypes exhibited subcritical states in the EC state. When switching to the WM state, H(MMD) remained inactive, while I(MMD) surpassed controls and became supercritical (p < 0.05). Regarding LRTC, the amplitude envelope in the EC state was more analogous to random noise in the MMD patients than in controls. During state transitions, LRTC decreased sharply in the controls but remained chaotic in the MMD individuals (p < 0.05). The spatial LRTC reduction distribution based on both EEG and fMRI in the EC state implied that, compared with controls, the two MMD subtypes might exhibit mutually independent but partially overlapping patterns. The regions showing decreased LRTC in both EEG and fMRI were the left supplemental motor area of H(MMD) and right pre-/postcentral gyrus and right inferior temporal gyrus of I(MMD). This study not only sheds light on the decayed critical dynamics of MMD in both the resting and task states for the first time but also proposes several EEG and fMRI features to identify its two subtypes. Hindawi 2021-04-16 /pmc/articles/PMC8064775/ /pubmed/33953833 http://dx.doi.org/10.1155/2021/6640108 Text en Copyright © 2021 Yu Lei et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Lei, Yu
Li, Yuzhu
Yu, Lianchun
Xu, Longzhou
Zhang, Xin
Zheng, Gaoxing
Chen, Liang
Zhang, Wei
Qi, Xiaoying
Gu, Yuxiang
Yu, Yuguo
Mao, Ying
Faded Critical Dynamics in Adult Moyamoya Disease Revealed by EEG and fMRI
title Faded Critical Dynamics in Adult Moyamoya Disease Revealed by EEG and fMRI
title_full Faded Critical Dynamics in Adult Moyamoya Disease Revealed by EEG and fMRI
title_fullStr Faded Critical Dynamics in Adult Moyamoya Disease Revealed by EEG and fMRI
title_full_unstemmed Faded Critical Dynamics in Adult Moyamoya Disease Revealed by EEG and fMRI
title_short Faded Critical Dynamics in Adult Moyamoya Disease Revealed by EEG and fMRI
title_sort faded critical dynamics in adult moyamoya disease revealed by eeg and fmri
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8064775/
https://www.ncbi.nlm.nih.gov/pubmed/33953833
http://dx.doi.org/10.1155/2021/6640108
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