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Dynamic changes in fractional amplitude of low-frequency fluctuations in patients with chronic insomnia

BACKGROUND: Previous neuroimaging studies have mostly focused on changes in static functional connectivity in patients with chronic insomnia (CI). Features of dynamic brain activity in patients with CI have rarely been described in detail. The present study investigated changes in dynamic intrinsic...

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Autores principales: Chen, Wei, Wang, Hui, Sun, Tianze, Wu, Qi, Han, Wenxuan, Li, Qian, Liu, Yong, Zhou, Yuanping, He, Xiuyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9744813/
https://www.ncbi.nlm.nih.gov/pubmed/36523433
http://dx.doi.org/10.3389/fnins.2022.1050240
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author Chen, Wei
Wang, Hui
Sun, Tianze
Wu, Qi
Han, Wenxuan
Li, Qian
Liu, Yong
Zhou, Yuanping
He, Xiuyong
author_facet Chen, Wei
Wang, Hui
Sun, Tianze
Wu, Qi
Han, Wenxuan
Li, Qian
Liu, Yong
Zhou, Yuanping
He, Xiuyong
author_sort Chen, Wei
collection PubMed
description BACKGROUND: Previous neuroimaging studies have mostly focused on changes in static functional connectivity in patients with chronic insomnia (CI). Features of dynamic brain activity in patients with CI have rarely been described in detail. The present study investigated changes in dynamic intrinsic brain activity in patients with CI by dynamic fractional amplitude of low-frequency fluctuation (dfALFF) analysis. MATERIALS AND METHODS: A total of 30 patients with CI and 27 healthy controls (HCs) were enrolled. We compared dfALFF between these two groups, and examined the correlation between changes in dfALFF and clinical symptoms of CI. Multivariate pattern analysis was performed to differentiate patients with CI from HCs. RESULTS: Compared with HC subjects, patients with CI showed significantly increased dfALFF in the left insula, right superior temporal gyrus, left parahippocampal gyrus, right amygdala, and bilateral posterior lobes of the cerebellum. Moreover, dfALFF values in the left insula and left parahippocampal gyrus showed a positive correlation with Pittsburgh Sleep Quality Index scores. A logistic regression model was constructed that had 96.7% sensitivity, 80.0% specificity, and 83.0% overall accuracy for distinguishing patients with CI from HCs. CONCLUSION: Dynamic local brain activity showed increased instability in patients with CI. The variability in dfALFF in the limbic system and brain areas related to sleep/wakefulness was associated with insomnia symptoms. These findings may provide insight into the neuropathologic basis of CI.
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spelling pubmed-97448132022-12-14 Dynamic changes in fractional amplitude of low-frequency fluctuations in patients with chronic insomnia Chen, Wei Wang, Hui Sun, Tianze Wu, Qi Han, Wenxuan Li, Qian Liu, Yong Zhou, Yuanping He, Xiuyong Front Neurosci Neuroscience BACKGROUND: Previous neuroimaging studies have mostly focused on changes in static functional connectivity in patients with chronic insomnia (CI). Features of dynamic brain activity in patients with CI have rarely been described in detail. The present study investigated changes in dynamic intrinsic brain activity in patients with CI by dynamic fractional amplitude of low-frequency fluctuation (dfALFF) analysis. MATERIALS AND METHODS: A total of 30 patients with CI and 27 healthy controls (HCs) were enrolled. We compared dfALFF between these two groups, and examined the correlation between changes in dfALFF and clinical symptoms of CI. Multivariate pattern analysis was performed to differentiate patients with CI from HCs. RESULTS: Compared with HC subjects, patients with CI showed significantly increased dfALFF in the left insula, right superior temporal gyrus, left parahippocampal gyrus, right amygdala, and bilateral posterior lobes of the cerebellum. Moreover, dfALFF values in the left insula and left parahippocampal gyrus showed a positive correlation with Pittsburgh Sleep Quality Index scores. A logistic regression model was constructed that had 96.7% sensitivity, 80.0% specificity, and 83.0% overall accuracy for distinguishing patients with CI from HCs. CONCLUSION: Dynamic local brain activity showed increased instability in patients with CI. The variability in dfALFF in the limbic system and brain areas related to sleep/wakefulness was associated with insomnia symptoms. These findings may provide insight into the neuropathologic basis of CI. Frontiers Media S.A. 2022-11-29 /pmc/articles/PMC9744813/ /pubmed/36523433 http://dx.doi.org/10.3389/fnins.2022.1050240 Text en Copyright © 2022 Chen, Wang, Sun, Wu, Han, Li, Liu, Zhou and He. https://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 Neuroscience
Chen, Wei
Wang, Hui
Sun, Tianze
Wu, Qi
Han, Wenxuan
Li, Qian
Liu, Yong
Zhou, Yuanping
He, Xiuyong
Dynamic changes in fractional amplitude of low-frequency fluctuations in patients with chronic insomnia
title Dynamic changes in fractional amplitude of low-frequency fluctuations in patients with chronic insomnia
title_full Dynamic changes in fractional amplitude of low-frequency fluctuations in patients with chronic insomnia
title_fullStr Dynamic changes in fractional amplitude of low-frequency fluctuations in patients with chronic insomnia
title_full_unstemmed Dynamic changes in fractional amplitude of low-frequency fluctuations in patients with chronic insomnia
title_short Dynamic changes in fractional amplitude of low-frequency fluctuations in patients with chronic insomnia
title_sort dynamic changes in fractional amplitude of low-frequency fluctuations in patients with chronic insomnia
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9744813/
https://www.ncbi.nlm.nih.gov/pubmed/36523433
http://dx.doi.org/10.3389/fnins.2022.1050240
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