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...

Full description

Bibliographic Details
Main Authors: Laura J. de Schipper, Jeroen van der Grond, Johan Marinus, Johanna M.L. Henselmans, Jacobus J. van Hilten
Format: Article
Language:English
Published: Elsevier 2017-01-01
Series:NeuroImage: Clinical
Online Access:http://www.sciencedirect.com/science/article/pii/S2213158217301171
_version_ 1818577416881176576
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
work_keys_str_mv AT laurajdeschipper lossofintegrityandatrophyincingulatestructuralcovariancenetworksinparkinsonsdisease
AT jeroenvandergrond lossofintegrityandatrophyincingulatestructuralcovariancenetworksinparkinsonsdisease
AT johanmarinus lossofintegrityandatrophyincingulatestructuralcovariancenetworksinparkinsonsdisease
AT johannamlhenselmans lossofintegrityandatrophyincingulatestructuralcovariancenetworksinparkinsonsdisease
AT jacobusjvanhilten lossofintegrityandatrophyincingulatestructuralcovariancenetworksinparkinsonsdisease