Structural and functional changes of Post-Stroke Depression: A multimodal magnetic resonance imaging study

This study investigated changes in gray matter volume (GMV), white matter microstructure, and spontaneous brain activity in post-stroke depression (PSD) using multiple MRI techniques, including neurite orientation dispersion and density imaging (NODDI). Changes in GMV, neurite density index (NDI), o...

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Main Authors: Qiuhong Lu, Shunzu Lu, Xue Wang, Yanlan Huang, Jie Liu, Zhijian Liang
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:NeuroImage: Clinical
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Online Access:http://www.sciencedirect.com/science/article/pii/S2213158225000130
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author Qiuhong Lu
Shunzu Lu
Xue Wang
Yanlan Huang
Jie Liu
Zhijian Liang
author_facet Qiuhong Lu
Shunzu Lu
Xue Wang
Yanlan Huang
Jie Liu
Zhijian Liang
author_sort Qiuhong Lu
collection DOAJ
description This study investigated changes in gray matter volume (GMV), white matter microstructure, and spontaneous brain activity in post-stroke depression (PSD) using multiple MRI techniques, including neurite orientation dispersion and density imaging (NODDI). Changes in GMV, neurite density index (NDI), orientation dispersion index (ODI), fraction of isotropic water (ISO), diffusion tensor imaging (DTI) parameters, and the amplitude of frequency fluctuations (ALFF) were assessed between PSD (n = 20), post-stroke without depression (n = 20), and normal control (n = 20) groups. Receiver operating characteristic (ROC) curve analysis was performed to test the classification performance of the variant parameters of each MRI modality, each single MRI modality and multiple MRI modality. Compared to patients with post-stroke without depression (non-PSD), those with PSD showed increased ODI and ISO in the widespread white matter, as well as increased ALFF in the left pallidum. No significant differences in the GMV or DTI parameters were observed between the two groups. Furthermore, the ODI of the right superior longitudinal fasciculus and NODDI showed the best classification performance for PSD at their respective comparison level (the areas under the ROC curves (AUC) = 0.917(0.000), 0.933(0.000)). The model of NODDI-derived parameters combined with non-diffusion MRI modality parameters (i.e., GMV and ALFF) showed better diagnostic performance than that of DTI-derived parameters. These findings suggest that PSD is associated with structural and functional abnormalities that may contribute to depressive symptoms. Additionally, NODDI showed its advantages in the description of structural alterations in emotion-related white matter pathways and classification performance in PSD.
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series NeuroImage: Clinical
spelling doaj-art-7c1941aff83443ca903712c6dafce0132025-02-03T04:16:42ZengElsevierNeuroImage: Clinical2213-15822025-01-0145103743Structural and functional changes of Post-Stroke Depression: A multimodal magnetic resonance imaging studyQiuhong Lu0Shunzu Lu1Xue Wang2Yanlan Huang3Jie Liu4Zhijian Liang5Department of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, PR China; Department of Mental Health, The First Affiliated Hospital of Guangxi Medical University, Nanning, PR ChinaDepartment of Radiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, PR ChinaDepartment of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, PR ChinaDepartment of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, PR ChinaDepartment of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, PR ChinaDepartment of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, PR China; Corresponding author at: Department of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, PR China.This study investigated changes in gray matter volume (GMV), white matter microstructure, and spontaneous brain activity in post-stroke depression (PSD) using multiple MRI techniques, including neurite orientation dispersion and density imaging (NODDI). Changes in GMV, neurite density index (NDI), orientation dispersion index (ODI), fraction of isotropic water (ISO), diffusion tensor imaging (DTI) parameters, and the amplitude of frequency fluctuations (ALFF) were assessed between PSD (n = 20), post-stroke without depression (n = 20), and normal control (n = 20) groups. Receiver operating characteristic (ROC) curve analysis was performed to test the classification performance of the variant parameters of each MRI modality, each single MRI modality and multiple MRI modality. Compared to patients with post-stroke without depression (non-PSD), those with PSD showed increased ODI and ISO in the widespread white matter, as well as increased ALFF in the left pallidum. No significant differences in the GMV or DTI parameters were observed between the two groups. Furthermore, the ODI of the right superior longitudinal fasciculus and NODDI showed the best classification performance for PSD at their respective comparison level (the areas under the ROC curves (AUC) = 0.917(0.000), 0.933(0.000)). The model of NODDI-derived parameters combined with non-diffusion MRI modality parameters (i.e., GMV and ALFF) showed better diagnostic performance than that of DTI-derived parameters. These findings suggest that PSD is associated with structural and functional abnormalities that may contribute to depressive symptoms. Additionally, NODDI showed its advantages in the description of structural alterations in emotion-related white matter pathways and classification performance in PSD.http://www.sciencedirect.com/science/article/pii/S2213158225000130Gray matter volumeNeurite orientation dispersion and density imagingAmplitude of frequency fluctuationsMultimodal MRIPost-stroke depression
spellingShingle Qiuhong Lu
Shunzu Lu
Xue Wang
Yanlan Huang
Jie Liu
Zhijian Liang
Structural and functional changes of Post-Stroke Depression: A multimodal magnetic resonance imaging study
NeuroImage: Clinical
Gray matter volume
Neurite orientation dispersion and density imaging
Amplitude of frequency fluctuations
Multimodal MRI
Post-stroke depression
title Structural and functional changes of Post-Stroke Depression: A multimodal magnetic resonance imaging study
title_full Structural and functional changes of Post-Stroke Depression: A multimodal magnetic resonance imaging study
title_fullStr Structural and functional changes of Post-Stroke Depression: A multimodal magnetic resonance imaging study
title_full_unstemmed Structural and functional changes of Post-Stroke Depression: A multimodal magnetic resonance imaging study
title_short Structural and functional changes of Post-Stroke Depression: A multimodal magnetic resonance imaging study
title_sort structural and functional changes of post stroke depression a multimodal magnetic resonance imaging study
topic Gray matter volume
Neurite orientation dispersion and density imaging
Amplitude of frequency fluctuations
Multimodal MRI
Post-stroke depression
url http://www.sciencedirect.com/science/article/pii/S2213158225000130
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