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Investigating the predictive value of different resting-state functional MRI parameters in obsessive-compulsive disorder

Previous resting-state functional magnetic resonance imaging (rs-fMRI) studies of obsessive-compulsive disorder (OCD) have facilitated our understanding of OCD pathophysiology based on its intrinsic activity. However, whether the group difference derived from univariate analysis could be useful for...

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Autores principales: Bu, Xuan, Hu, Xinyu, Zhang, Lianqing, Li, Bin, Zhou, Ming, Lu, Lu, Hu, Xiaoxiao, Li, Hailong, Yang, Yanchun, Tang, Wanjie, Gong, Qiyong, Huang, Xiaoqi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6336781/
https://www.ncbi.nlm.nih.gov/pubmed/30655506
http://dx.doi.org/10.1038/s41398-018-0362-9
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author Bu, Xuan
Hu, Xinyu
Zhang, Lianqing
Li, Bin
Zhou, Ming
Lu, Lu
Hu, Xiaoxiao
Li, Hailong
Yang, Yanchun
Tang, Wanjie
Gong, Qiyong
Huang, Xiaoqi
author_facet Bu, Xuan
Hu, Xinyu
Zhang, Lianqing
Li, Bin
Zhou, Ming
Lu, Lu
Hu, Xiaoxiao
Li, Hailong
Yang, Yanchun
Tang, Wanjie
Gong, Qiyong
Huang, Xiaoqi
author_sort Bu, Xuan
collection PubMed
description Previous resting-state functional magnetic resonance imaging (rs-fMRI) studies of obsessive-compulsive disorder (OCD) have facilitated our understanding of OCD pathophysiology based on its intrinsic activity. However, whether the group difference derived from univariate analysis could be useful for informing the diagnosis of individual OCD patients remains unclear. We aimed to apply multivariate pattern analysis of different rs-fMRI parameters to distinguish drug-naive patients with OCD from healthy control subjects (HCS). Fifty-four drug-naive OCD patients and 54 well-matched HCS were recruited. Four different rs-fMRI parameter maps, including the amplitude of low-frequency fluctuations (ALFF), fractional amplitude of low-frequency fluctuations (fALFF), regional homogeneity (ReHo) and functional connectivity strength (FCS), were calculated. Training of a support vector machine (SVM) classifier using rs-fMRI maps produced voxelwise discrimination maps. Overall, the classification accuracies were acceptable for the four rs-fMRI parameters. Excellent performance was achieved when ALFF maps were employed (accuracy, 95.37%, p < 0.01), good performance was achieved by using ReHo maps, weaker performance was achieved by using fALFF maps, and fair performance was achieved by using FCS maps. The brain regions showing the greatest discriminative power included the prefrontal cortex, anterior cingulate cortex, precentral gyrus, and occipital lobes. The application of SVM to rs-fMRI features may provide potential power for OCD classification.
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spelling pubmed-63367812019-01-23 Investigating the predictive value of different resting-state functional MRI parameters in obsessive-compulsive disorder Bu, Xuan Hu, Xinyu Zhang, Lianqing Li, Bin Zhou, Ming Lu, Lu Hu, Xiaoxiao Li, Hailong Yang, Yanchun Tang, Wanjie Gong, Qiyong Huang, Xiaoqi Transl Psychiatry Article Previous resting-state functional magnetic resonance imaging (rs-fMRI) studies of obsessive-compulsive disorder (OCD) have facilitated our understanding of OCD pathophysiology based on its intrinsic activity. However, whether the group difference derived from univariate analysis could be useful for informing the diagnosis of individual OCD patients remains unclear. We aimed to apply multivariate pattern analysis of different rs-fMRI parameters to distinguish drug-naive patients with OCD from healthy control subjects (HCS). Fifty-four drug-naive OCD patients and 54 well-matched HCS were recruited. Four different rs-fMRI parameter maps, including the amplitude of low-frequency fluctuations (ALFF), fractional amplitude of low-frequency fluctuations (fALFF), regional homogeneity (ReHo) and functional connectivity strength (FCS), were calculated. Training of a support vector machine (SVM) classifier using rs-fMRI maps produced voxelwise discrimination maps. Overall, the classification accuracies were acceptable for the four rs-fMRI parameters. Excellent performance was achieved when ALFF maps were employed (accuracy, 95.37%, p < 0.01), good performance was achieved by using ReHo maps, weaker performance was achieved by using fALFF maps, and fair performance was achieved by using FCS maps. The brain regions showing the greatest discriminative power included the prefrontal cortex, anterior cingulate cortex, precentral gyrus, and occipital lobes. The application of SVM to rs-fMRI features may provide potential power for OCD classification. Nature Publishing Group UK 2019-01-17 /pmc/articles/PMC6336781/ /pubmed/30655506 http://dx.doi.org/10.1038/s41398-018-0362-9 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Bu, Xuan
Hu, Xinyu
Zhang, Lianqing
Li, Bin
Zhou, Ming
Lu, Lu
Hu, Xiaoxiao
Li, Hailong
Yang, Yanchun
Tang, Wanjie
Gong, Qiyong
Huang, Xiaoqi
Investigating the predictive value of different resting-state functional MRI parameters in obsessive-compulsive disorder
title Investigating the predictive value of different resting-state functional MRI parameters in obsessive-compulsive disorder
title_full Investigating the predictive value of different resting-state functional MRI parameters in obsessive-compulsive disorder
title_fullStr Investigating the predictive value of different resting-state functional MRI parameters in obsessive-compulsive disorder
title_full_unstemmed Investigating the predictive value of different resting-state functional MRI parameters in obsessive-compulsive disorder
title_short Investigating the predictive value of different resting-state functional MRI parameters in obsessive-compulsive disorder
title_sort investigating the predictive value of different resting-state functional mri parameters in obsessive-compulsive disorder
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6336781/
https://www.ncbi.nlm.nih.gov/pubmed/30655506
http://dx.doi.org/10.1038/s41398-018-0362-9
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