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Altered neural intrinsic oscillations in patients with multiple sclerosis: effects of cortical thickness

OBJECTIVE: To investigate the effects of cortical thickness on the identification accuracy of fractional amplitude of low-frequency fluctuation (fALFF) in patients with multiple sclerosis (MS). METHODS: Resting-state functional magnetic resonance imaging data were collected from 31 remitting MS, 20...

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Autores principales: Liang, Xiao, Wang, Lei, Zhu, Yanyan, Wang, Yao, He, Ting, Wu, Lin, Huang, Muhua, Zhou, Fuqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10560735/
https://www.ncbi.nlm.nih.gov/pubmed/37818221
http://dx.doi.org/10.3389/fneur.2023.1143646
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author Liang, Xiao
Wang, Lei
Zhu, Yanyan
Wang, Yao
He, Ting
Wu, Lin
Huang, Muhua
Zhou, Fuqing
author_facet Liang, Xiao
Wang, Lei
Zhu, Yanyan
Wang, Yao
He, Ting
Wu, Lin
Huang, Muhua
Zhou, Fuqing
author_sort Liang, Xiao
collection PubMed
description OBJECTIVE: To investigate the effects of cortical thickness on the identification accuracy of fractional amplitude of low-frequency fluctuation (fALFF) in patients with multiple sclerosis (MS). METHODS: Resting-state functional magnetic resonance imaging data were collected from 31 remitting MS, 20 acute MS, and 42 healthy controls (HCs). After preprocessing, we first calculated two-dimensional fALFF (2d-fALFF) maps using the DPABISurf toolkit, and 2d-fALFF per unit thickness was obtained by dividing 2d-fALFF by cortical thickness. Then, between-group comparison, clinical correlation, and classification analyses were performed in 2d-fALFF and 2d-fALFF per unit thickness maps. Finally, we also examined whether the effect of cortical thickness on 2d-fALFF maps was affected by the subfrequency band. RESULTS: In contrast with 2d-fALFF, more changed regions in 2d-fALFF per unit thickness maps were detected in MS patients, such as increased region of the right inferior frontal cortex and faded regions of the right paracentral lobule, middle cingulate cortex, and right medial temporal cortex. There was a significant positive correlation between the disease duration and the 2d-fALFF values in the left early visual cortex in remitting MS patients (r = 0.517, Bonferroni-corrected, p = 0.008 × 4 < 0.05). In contrast with 2d-fALFF, we detected a positive correlation between the 2d-fALFF per unit thickness of the right ventral stream visual cortex and the modified Fatigue Impact Scale (MFIS) scores (r = 0.555, Bonferroni-corrected, p = 0.017 × 4 > 0.05). For detecting MS patients, 2d-fALFF and 2d- fALFF per unit thickness both performed remarkably well in support vector machine (SVM) analysis, especially in the remitting phase (AUC = 86, 83%). Compared with 2d-fALFF, the SVM model of 2d-fALFF per unit thickness had significantly higher classification performance in distinguishing between remitting and acute MS. More changed regions and more clinically relevant 2d-fALFF per unit thickness maps in the subfrequency band were also detected in MS patients. CONCLUSION: By dividing the functional value by the cortical thickness, the identification accuracy of fALFF in MS patients was detected to be potentially influenced by cortical thickness. Additionally, 2d-fALFF per unit thickness is a potential diagnostic marker that can be utilized to distinguish between acute and remitting MS patients. Notably, we observed similar variations in the subfrequency band.
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spelling pubmed-105607352023-10-10 Altered neural intrinsic oscillations in patients with multiple sclerosis: effects of cortical thickness Liang, Xiao Wang, Lei Zhu, Yanyan Wang, Yao He, Ting Wu, Lin Huang, Muhua Zhou, Fuqing Front Neurol Neurology OBJECTIVE: To investigate the effects of cortical thickness on the identification accuracy of fractional amplitude of low-frequency fluctuation (fALFF) in patients with multiple sclerosis (MS). METHODS: Resting-state functional magnetic resonance imaging data were collected from 31 remitting MS, 20 acute MS, and 42 healthy controls (HCs). After preprocessing, we first calculated two-dimensional fALFF (2d-fALFF) maps using the DPABISurf toolkit, and 2d-fALFF per unit thickness was obtained by dividing 2d-fALFF by cortical thickness. Then, between-group comparison, clinical correlation, and classification analyses were performed in 2d-fALFF and 2d-fALFF per unit thickness maps. Finally, we also examined whether the effect of cortical thickness on 2d-fALFF maps was affected by the subfrequency band. RESULTS: In contrast with 2d-fALFF, more changed regions in 2d-fALFF per unit thickness maps were detected in MS patients, such as increased region of the right inferior frontal cortex and faded regions of the right paracentral lobule, middle cingulate cortex, and right medial temporal cortex. There was a significant positive correlation between the disease duration and the 2d-fALFF values in the left early visual cortex in remitting MS patients (r = 0.517, Bonferroni-corrected, p = 0.008 × 4 < 0.05). In contrast with 2d-fALFF, we detected a positive correlation between the 2d-fALFF per unit thickness of the right ventral stream visual cortex and the modified Fatigue Impact Scale (MFIS) scores (r = 0.555, Bonferroni-corrected, p = 0.017 × 4 > 0.05). For detecting MS patients, 2d-fALFF and 2d- fALFF per unit thickness both performed remarkably well in support vector machine (SVM) analysis, especially in the remitting phase (AUC = 86, 83%). Compared with 2d-fALFF, the SVM model of 2d-fALFF per unit thickness had significantly higher classification performance in distinguishing between remitting and acute MS. More changed regions and more clinically relevant 2d-fALFF per unit thickness maps in the subfrequency band were also detected in MS patients. CONCLUSION: By dividing the functional value by the cortical thickness, the identification accuracy of fALFF in MS patients was detected to be potentially influenced by cortical thickness. Additionally, 2d-fALFF per unit thickness is a potential diagnostic marker that can be utilized to distinguish between acute and remitting MS patients. Notably, we observed similar variations in the subfrequency band. Frontiers Media S.A. 2023-09-25 /pmc/articles/PMC10560735/ /pubmed/37818221 http://dx.doi.org/10.3389/fneur.2023.1143646 Text en Copyright © 2023 Liang, Wang, Zhu, Wang, He, Wu, Huang and Zhou. 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 Neurology
Liang, Xiao
Wang, Lei
Zhu, Yanyan
Wang, Yao
He, Ting
Wu, Lin
Huang, Muhua
Zhou, Fuqing
Altered neural intrinsic oscillations in patients with multiple sclerosis: effects of cortical thickness
title Altered neural intrinsic oscillations in patients with multiple sclerosis: effects of cortical thickness
title_full Altered neural intrinsic oscillations in patients with multiple sclerosis: effects of cortical thickness
title_fullStr Altered neural intrinsic oscillations in patients with multiple sclerosis: effects of cortical thickness
title_full_unstemmed Altered neural intrinsic oscillations in patients with multiple sclerosis: effects of cortical thickness
title_short Altered neural intrinsic oscillations in patients with multiple sclerosis: effects of cortical thickness
title_sort altered neural intrinsic oscillations in patients with multiple sclerosis: effects of cortical thickness
topic Neurology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10560735/
https://www.ncbi.nlm.nih.gov/pubmed/37818221
http://dx.doi.org/10.3389/fneur.2023.1143646
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