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Integrating Structural and Functional Interhemispheric Brain Connectivity of Gait Freezing in Parkinson's Disease

Freezing of gait (FOG) has devastating consequences for patients with Parkinson's disease (PD), but the underlying pathophysiological mechanism is unclear. This was investigated in the present study by integrated structural and functional connectivity analyses of PD patients with or without FOG...

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Autores principales: Jin, Chaoyang, Qi, Shouliang, Teng, Yueyang, Li, Chen, Yao, Yudong, Ruan, Xiuhang, Wei, Xinhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8081966/
https://www.ncbi.nlm.nih.gov/pubmed/33935931
http://dx.doi.org/10.3389/fneur.2021.609866
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author Jin, Chaoyang
Qi, Shouliang
Teng, Yueyang
Li, Chen
Yao, Yudong
Ruan, Xiuhang
Wei, Xinhua
author_facet Jin, Chaoyang
Qi, Shouliang
Teng, Yueyang
Li, Chen
Yao, Yudong
Ruan, Xiuhang
Wei, Xinhua
author_sort Jin, Chaoyang
collection PubMed
description Freezing of gait (FOG) has devastating consequences for patients with Parkinson's disease (PD), but the underlying pathophysiological mechanism is unclear. This was investigated in the present study by integrated structural and functional connectivity analyses of PD patients with or without FOG (PD FOG+ and PD FOG–, respectively) and healthy control (HC) subjects. We performed resting-state functional magnetic resonance imaging (fMRI) and diffusion tensor imaging of 24 PD FOG+ patients, 37 PD FOG– patients, and 24 HCs. Tract-based spatial statistics was applied to identify white matter (WM) abnormalities across the whole brain. Fractional anisotropy (FA) and mean diffusivity (MD) of abnormal WM areas were compared among groups, and correlations between these parameters and clinical severity as determined by FOG Questionnaire (FOGQ) score were analyzed. Voxel-mirrored homotopic connectivity (VMHC) was calculated to identify brain regions with abnormal interhemispheric connectivity. Structural and functional measures were integrated by calculating correlations between VMHC and FOGQ score and between FA, MD, and VMHC. The results showed that PD FOG+ and PD FOG– patients had decreased FA in the corpus callosum (CC), cingulum (hippocampus), and superior longitudinal fasciculus and increased MD in the CC, internal capsule, corona radiata, superior longitudinal fasciculus, and thalamus. PD FOG+ patients had more WM abnormalities than PD FOG– patients. FA and MD differed significantly among the splenium, body, and genu of the CC in all three groups (P < 0.05). The decreased FA in the CC was positively correlated with FOGQ score. PD FOG+ patients showed decreased VMHC in the post-central gyrus (PCG), pre-central gyrus, and parietal inferior margin. In PD FOG+ patients, VMHC in the PCG was negatively correlated with FOGQ score but positively correlated with FA in CC. Thus, FOG is associated with impaired interhemispheric brain connectivity measured by FA, MD, and VMHC, which are related to clinical FOG severity. These results demonstrate that integrating structural and functional MRI data can provide new insight into the pathophysiological mechanism of FOG in PD.
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spelling pubmed-80819662021-04-30 Integrating Structural and Functional Interhemispheric Brain Connectivity of Gait Freezing in Parkinson's Disease Jin, Chaoyang Qi, Shouliang Teng, Yueyang Li, Chen Yao, Yudong Ruan, Xiuhang Wei, Xinhua Front Neurol Neurology Freezing of gait (FOG) has devastating consequences for patients with Parkinson's disease (PD), but the underlying pathophysiological mechanism is unclear. This was investigated in the present study by integrated structural and functional connectivity analyses of PD patients with or without FOG (PD FOG+ and PD FOG–, respectively) and healthy control (HC) subjects. We performed resting-state functional magnetic resonance imaging (fMRI) and diffusion tensor imaging of 24 PD FOG+ patients, 37 PD FOG– patients, and 24 HCs. Tract-based spatial statistics was applied to identify white matter (WM) abnormalities across the whole brain. Fractional anisotropy (FA) and mean diffusivity (MD) of abnormal WM areas were compared among groups, and correlations between these parameters and clinical severity as determined by FOG Questionnaire (FOGQ) score were analyzed. Voxel-mirrored homotopic connectivity (VMHC) was calculated to identify brain regions with abnormal interhemispheric connectivity. Structural and functional measures were integrated by calculating correlations between VMHC and FOGQ score and between FA, MD, and VMHC. The results showed that PD FOG+ and PD FOG– patients had decreased FA in the corpus callosum (CC), cingulum (hippocampus), and superior longitudinal fasciculus and increased MD in the CC, internal capsule, corona radiata, superior longitudinal fasciculus, and thalamus. PD FOG+ patients had more WM abnormalities than PD FOG– patients. FA and MD differed significantly among the splenium, body, and genu of the CC in all three groups (P < 0.05). The decreased FA in the CC was positively correlated with FOGQ score. PD FOG+ patients showed decreased VMHC in the post-central gyrus (PCG), pre-central gyrus, and parietal inferior margin. In PD FOG+ patients, VMHC in the PCG was negatively correlated with FOGQ score but positively correlated with FA in CC. Thus, FOG is associated with impaired interhemispheric brain connectivity measured by FA, MD, and VMHC, which are related to clinical FOG severity. These results demonstrate that integrating structural and functional MRI data can provide new insight into the pathophysiological mechanism of FOG in PD. Frontiers Media S.A. 2021-04-15 /pmc/articles/PMC8081966/ /pubmed/33935931 http://dx.doi.org/10.3389/fneur.2021.609866 Text en Copyright © 2021 Jin, Qi, Teng, Li, Yao, Ruan and Wei. 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
Jin, Chaoyang
Qi, Shouliang
Teng, Yueyang
Li, Chen
Yao, Yudong
Ruan, Xiuhang
Wei, Xinhua
Integrating Structural and Functional Interhemispheric Brain Connectivity of Gait Freezing in Parkinson's Disease
title Integrating Structural and Functional Interhemispheric Brain Connectivity of Gait Freezing in Parkinson's Disease
title_full Integrating Structural and Functional Interhemispheric Brain Connectivity of Gait Freezing in Parkinson's Disease
title_fullStr Integrating Structural and Functional Interhemispheric Brain Connectivity of Gait Freezing in Parkinson's Disease
title_full_unstemmed Integrating Structural and Functional Interhemispheric Brain Connectivity of Gait Freezing in Parkinson's Disease
title_short Integrating Structural and Functional Interhemispheric Brain Connectivity of Gait Freezing in Parkinson's Disease
title_sort integrating structural and functional interhemispheric brain connectivity of gait freezing in parkinson's disease
topic Neurology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8081966/
https://www.ncbi.nlm.nih.gov/pubmed/33935931
http://dx.doi.org/10.3389/fneur.2021.609866
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