Loss of integrity and atrophy in cingulate structural covariance networks in Parkinson's disease
Background: In Parkinson's disease (PD), the relation between cortical brain atrophy on MRI and clinical progression is not straightforward. Determination of changes in structural covariance networks - patterns of covariance in grey matter density - has shown to be a valuable technique to detec...
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Format: | Article |
Language: | English |
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Elsevier
2017-01-01
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Series: | NeuroImage: Clinical |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2213158217301171 |
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author | Laura J. de Schipper Jeroen van der Grond Johan Marinus Johanna M.L. Henselmans Jacobus J. van Hilten |
author_facet | Laura J. de Schipper Jeroen van der Grond Johan Marinus Johanna M.L. Henselmans Jacobus J. van Hilten |
author_sort | Laura J. de Schipper |
collection | DOAJ |
description | Background: In Parkinson's disease (PD), the relation between cortical brain atrophy on MRI and clinical progression is not straightforward. Determination of changes in structural covariance networks - patterns of covariance in grey matter density - has shown to be a valuable technique to detect subtle grey matter variations. We evaluated how structural network integrity in PD is related to clinical data. Methods: 3Tesla MRI was performed in 159 PD patients. We used nine standardized structural covariance networks identified in 370 healthy subjects as a template in the analysis of the PD data. Clinical assessment comprised motor features (Movement Disorder Society-Unified Parkinson's Disease Rating Scale; MDS-UPDRS motor scale) and predominantly non-dopaminergic features (SEverity of Non-dopaminergic Symptoms in Parkinson's Disease; SENS-PD scale: postural instability and gait difficulty, psychotic symptoms, excessive daytime sleepiness, autonomic dysfunction, cognitive impairment and depressive symptoms). Voxel-based analyses were performed within networks significantly associated with PD. Results: The anterior and posterior cingulate network showed decreased integrity, associated with the SENS-PD score, p=0.001 (β=−0.265, ηp2=0.070) and p=0.001 (β=−0.264, ηp2=0.074), respectively. Of the components of the SENS-PD score, cognitive impairment and excessive daytime sleepiness were associated with atrophy within both networks. Conclusions: We identified loss of integrity and atrophy in the anterior and posterior cingulate networks in PD patients. Abnormalities of both networks were associated with predominantly non-dopaminergic features, specifically cognition and excessive daytime sleepiness. Our findings suggest that (components of) the cingulate networks display a specific vulnerability to the pathobiology of PD and may operate as interfaces between networks involved in cognition and alertness. Keywords: Parkinson's disease/Parkinsonism, Magnetic resonance imaging, Structural covariance network, Non-dopaminergic symptoms |
first_indexed | 2024-12-16T06:29:34Z |
format | Article |
id | doaj.art-4934a429b7414a50911a3786c4a6ad83 |
institution | Directory Open Access Journal |
issn | 2213-1582 |
language | English |
last_indexed | 2024-12-16T06:29:34Z |
publishDate | 2017-01-01 |
publisher | Elsevier |
record_format | Article |
series | NeuroImage: Clinical |
spelling | doaj.art-4934a429b7414a50911a3786c4a6ad832022-12-21T22:40:56ZengElsevierNeuroImage: Clinical2213-15822017-01-0115587593Loss of integrity and atrophy in cingulate structural covariance networks in Parkinson's diseaseLaura J. de Schipper0Jeroen van der Grond1Johan Marinus2Johanna M.L. Henselmans3Jacobus J. van Hilten4Department of Neurology, Leiden University Medical Center, PO Box 9600, 2300 RC Leiden, The Netherlands; Corresponding author.Department of Radiology, Leiden University Medical Center, PO Box 9600, 2300 RC Leiden, The NetherlandsDepartment of Neurology, Leiden University Medical Center, PO Box 9600, 2300 RC Leiden, The NetherlandsDepartment of Neurology, Leiden University Medical Center, PO Box 9600, 2300 RC Leiden, The Netherlands; Department of Neurology, Antonius Hospital, PO Box 8000, 3440 JD Woerden, The NetherlandsDepartment of Neurology, Leiden University Medical Center, PO Box 9600, 2300 RC Leiden, The NetherlandsBackground: In Parkinson's disease (PD), the relation between cortical brain atrophy on MRI and clinical progression is not straightforward. Determination of changes in structural covariance networks - patterns of covariance in grey matter density - has shown to be a valuable technique to detect subtle grey matter variations. We evaluated how structural network integrity in PD is related to clinical data. Methods: 3Tesla MRI was performed in 159 PD patients. We used nine standardized structural covariance networks identified in 370 healthy subjects as a template in the analysis of the PD data. Clinical assessment comprised motor features (Movement Disorder Society-Unified Parkinson's Disease Rating Scale; MDS-UPDRS motor scale) and predominantly non-dopaminergic features (SEverity of Non-dopaminergic Symptoms in Parkinson's Disease; SENS-PD scale: postural instability and gait difficulty, psychotic symptoms, excessive daytime sleepiness, autonomic dysfunction, cognitive impairment and depressive symptoms). Voxel-based analyses were performed within networks significantly associated with PD. Results: The anterior and posterior cingulate network showed decreased integrity, associated with the SENS-PD score, p=0.001 (β=−0.265, ηp2=0.070) and p=0.001 (β=−0.264, ηp2=0.074), respectively. Of the components of the SENS-PD score, cognitive impairment and excessive daytime sleepiness were associated with atrophy within both networks. Conclusions: We identified loss of integrity and atrophy in the anterior and posterior cingulate networks in PD patients. Abnormalities of both networks were associated with predominantly non-dopaminergic features, specifically cognition and excessive daytime sleepiness. Our findings suggest that (components of) the cingulate networks display a specific vulnerability to the pathobiology of PD and may operate as interfaces between networks involved in cognition and alertness. Keywords: Parkinson's disease/Parkinsonism, Magnetic resonance imaging, Structural covariance network, Non-dopaminergic symptomshttp://www.sciencedirect.com/science/article/pii/S2213158217301171 |
spellingShingle | Laura J. de Schipper Jeroen van der Grond Johan Marinus Johanna M.L. Henselmans Jacobus J. van Hilten Loss of integrity and atrophy in cingulate structural covariance networks in Parkinson's disease NeuroImage: Clinical |
title | Loss of integrity and atrophy in cingulate structural covariance networks in Parkinson's disease |
title_full | Loss of integrity and atrophy in cingulate structural covariance networks in Parkinson's disease |
title_fullStr | Loss of integrity and atrophy in cingulate structural covariance networks in Parkinson's disease |
title_full_unstemmed | Loss of integrity and atrophy in cingulate structural covariance networks in Parkinson's disease |
title_short | Loss of integrity and atrophy in cingulate structural covariance networks in Parkinson's disease |
title_sort | loss of integrity and atrophy in cingulate structural covariance networks in parkinson s disease |
url | http://www.sciencedirect.com/science/article/pii/S2213158217301171 |
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