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Test–Retest Reliability of Synchrony and Metastability in Resting State fMRI

In recent years, interest has been growing in dynamic characteristic of brain signals from resting-state functional magnetic resonance imaging (rs-fMRI). Synchrony and metastability, as neurodynamic indexes, are considered as one of methods for analyzing dynamic characteristics. Although much resear...

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Autores principales: Yang, Lan, Wei, Jing, Li, Ying, Wang, Bin, Guo, Hao, Yang, Yanli, Xiang, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8773904/
https://www.ncbi.nlm.nih.gov/pubmed/35053813
http://dx.doi.org/10.3390/brainsci12010066
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author Yang, Lan
Wei, Jing
Li, Ying
Wang, Bin
Guo, Hao
Yang, Yanli
Xiang, Jie
author_facet Yang, Lan
Wei, Jing
Li, Ying
Wang, Bin
Guo, Hao
Yang, Yanli
Xiang, Jie
author_sort Yang, Lan
collection PubMed
description In recent years, interest has been growing in dynamic characteristic of brain signals from resting-state functional magnetic resonance imaging (rs-fMRI). Synchrony and metastability, as neurodynamic indexes, are considered as one of methods for analyzing dynamic characteristics. Although much research has studied the analysis of neurodynamic indices, few have investigated its reliability. In this paper, the datasets from the Human Connectome Project have been used to explore the test–retest reliabilities of synchrony and metastability from multiple angles through intra-class correlation (ICC). The results showed that both of these indexes had fair test–retest reliability, but they are strongly affected by the field strength, the spatial resolution, and scanning interval, less affected by the temporal resolution. Denoising processing can help improve their ICC values. In addition, the reliability of neurodynamic indexes was affected by the node definition strategy, but these effects were not apparent. In particular, by comparing the test–retest reliability of different resting-state networks, we found that synchrony of different networks was basically stable, but the metastability varied considerably. Among these, DMN and LIM had a relatively higher test–retest reliability of metastability than other networks. This paper provides a methodological reference for exploring the brain dynamic neural activity by using synchrony and metastability in fMRI signals.
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spelling pubmed-87739042022-01-21 Test–Retest Reliability of Synchrony and Metastability in Resting State fMRI Yang, Lan Wei, Jing Li, Ying Wang, Bin Guo, Hao Yang, Yanli Xiang, Jie Brain Sci Article In recent years, interest has been growing in dynamic characteristic of brain signals from resting-state functional magnetic resonance imaging (rs-fMRI). Synchrony and metastability, as neurodynamic indexes, are considered as one of methods for analyzing dynamic characteristics. Although much research has studied the analysis of neurodynamic indices, few have investigated its reliability. In this paper, the datasets from the Human Connectome Project have been used to explore the test–retest reliabilities of synchrony and metastability from multiple angles through intra-class correlation (ICC). The results showed that both of these indexes had fair test–retest reliability, but they are strongly affected by the field strength, the spatial resolution, and scanning interval, less affected by the temporal resolution. Denoising processing can help improve their ICC values. In addition, the reliability of neurodynamic indexes was affected by the node definition strategy, but these effects were not apparent. In particular, by comparing the test–retest reliability of different resting-state networks, we found that synchrony of different networks was basically stable, but the metastability varied considerably. Among these, DMN and LIM had a relatively higher test–retest reliability of metastability than other networks. This paper provides a methodological reference for exploring the brain dynamic neural activity by using synchrony and metastability in fMRI signals. MDPI 2021-12-31 /pmc/articles/PMC8773904/ /pubmed/35053813 http://dx.doi.org/10.3390/brainsci12010066 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Yang, Lan
Wei, Jing
Li, Ying
Wang, Bin
Guo, Hao
Yang, Yanli
Xiang, Jie
Test–Retest Reliability of Synchrony and Metastability in Resting State fMRI
title Test–Retest Reliability of Synchrony and Metastability in Resting State fMRI
title_full Test–Retest Reliability of Synchrony and Metastability in Resting State fMRI
title_fullStr Test–Retest Reliability of Synchrony and Metastability in Resting State fMRI
title_full_unstemmed Test–Retest Reliability of Synchrony and Metastability in Resting State fMRI
title_short Test–Retest Reliability of Synchrony and Metastability in Resting State fMRI
title_sort test–retest reliability of synchrony and metastability in resting state fmri
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8773904/
https://www.ncbi.nlm.nih.gov/pubmed/35053813
http://dx.doi.org/10.3390/brainsci12010066
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