Perivascular spaces, diffusion MRI markers and cognitive decline in cerebral small vessel disease

Background: MRI markers, including visible perivascular spaces (PVS), diffusion tensor image analysis along the perivascular space (DTI-ALPS) index, and peak width of skeletonized mean diffusivity (PSMD) may capture the earliest pathogenesis of cerebral small vessel disease (SVD). This study aimed t...

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Published in:Cerebral Circulation - Cognition and Behavior
Main Authors: Gemma Solé-Guardia, Hao Li, Jessica Lebenberg, Mina A Jacob, Ivy Uszynski, Roy P C Kessels, David G Norris, Cyril Poupon, Hugues Chabriat, Frank-Erik de Leeuw, Eric Jouvent, Anil M Tuladhar
Format: Article
Language:English
Published: Elsevier 2025-01-01
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Online Access:http://www.sciencedirect.com/science/article/pii/S2666245025000297
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author Gemma Solé-Guardia
Hao Li
Jessica Lebenberg
Mina A Jacob
Ivy Uszynski
Roy P C Kessels
David G Norris
Cyril Poupon
Hugues Chabriat
Frank-Erik de Leeuw
Eric Jouvent
Anil M Tuladhar
author_facet Gemma Solé-Guardia
Hao Li
Jessica Lebenberg
Mina A Jacob
Ivy Uszynski
Roy P C Kessels
David G Norris
Cyril Poupon
Hugues Chabriat
Frank-Erik de Leeuw
Eric Jouvent
Anil M Tuladhar
author_sort Gemma Solé-Guardia
collection DOAJ
container_title Cerebral Circulation - Cognition and Behavior
description Background: MRI markers, including visible perivascular spaces (PVS), diffusion tensor image analysis along the perivascular space (DTI-ALPS) index, and peak width of skeletonized mean diffusivity (PSMD) may capture the earliest pathogenesis of cerebral small vessel disease (SVD). This study aimed to elucidate the association between these markers and cognitive decline in sporadic and hereditary SVD. Methods: We included individuals from two cohorts: (1) participants with sporadic SVD from the Radboud University Nijmegen Diffusion tensor Magnetic resonance imaging Cohort (RUNDMC) and (2) participants with cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) followed at the French National Referral Center. Individuals in both cohorts underwent neuroimaging and cognitive assessment over 14 years. We quantified baseline PVS burden, DTI-ALPS index and PSMD. We used linear mixed models to test their associations with longitudinal cognitive function, and Fine-and-Gray models to assess their association with incident all-cause dementia. Results: Cohort 1 included 446 individuals (mean age (SD) 65.2 years (8.9); 203 women), Cohort 2 included 164 individuals (mean age (SD) 49.9 years (12.6); 88 women). Baseline DTI-ALPS index was independently associated with better longitudinal processing speed (Cohort 1:β=0.11, 95 %CI 0.03–0.19) and cognitive index (Cohort 2:β=0.20, 95 %CI 0.06–0.33). Neither PVS burden, DTI-ALPS index nor PSMD were significantly associated with increased risk of all-cause dementia. Conclusion: These findings suggest that DTI-ALPS index may serve as a marker for cognitive decline. However, these markers have limited association with all-cause dementia risk. Future studies are needed to validate DTI-ALPS index and its link to cognitive decline.
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spelling doaj-art-906394e4e8564495b03845dd214c75d72025-10-29T11:26:29ZengElsevierCerebral Circulation - Cognition and Behavior2666-24502025-01-01910040510.1016/j.cccb.2025.100405Perivascular spaces, diffusion MRI markers and cognitive decline in cerebral small vessel diseaseGemma Solé-Guardia0Hao Li1Jessica Lebenberg2Mina A Jacob3Ivy Uszynski4Roy P C Kessels5David G Norris6Cyril Poupon7Hugues Chabriat8Frank-Erik de Leeuw9Eric Jouvent10Anil M Tuladhar11Department of Neurology, Research Institute for Medical Innovation, Radboud university medical center, Donders Institute for Brain, Cognition and Behaviour, Centre for medical neuroscience, Nijmegen, the Netherlands; Department of Medical Imaging, Anatomy, Research Institute for Medical Innovation, Radboud university medical center, Donders Institute for Brain, Cognition and Behaviour, Centre for Medical Neuroscience, preclinical imaging center PRIME, Radboudumc Alzheimer Center, Nijmegen, the NetherlandsDepartment of Neurology, Research Institute for Medical Innovation, Radboud university medical center, Donders Institute for Brain, Cognition and Behaviour, Centre for medical neuroscience, Nijmegen, the NetherlandsAPHP, Lariboisière Hospital, Department of Neurology and CNVT-CERVCO, Paris, France; Institut du Cerveau et de la Moelle épinière, Paris Brain Instituture, Inserm U1127, CNRS UMR 7225, Sorbonne Université, F-75013, Paris, FranceDepartment of Neurology, Research Institute for Medical Innovation, Radboud university medical center, Donders Institute for Brain, Cognition and Behaviour, Centre for medical neuroscience, Nijmegen, the NetherlandsNeuroSpin, Université Paris-Saclay, CNRS, CEA, Gif-sur-Yvette, FranceDonders Institute for Brain, Cognition and Behaviour, Centre for Cognition, Radboud University, Nijmegen, the Netherlands; Vincent van Gogh Institute for Psychiatry, Venray, the Netherlands; Radboudumc Alzheimer Center, Radboud university medical center, Nijmegen, the NetherlandsDonders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, the NetherlandsNeuroSpin, Université Paris-Saclay, CNRS, CEA, Gif-sur-Yvette, FranceAPHP, Lariboisière Hospital, Department of Neurology and CNVT-CERVCO, Paris, France; Institut du Cerveau et de la Moelle épinière, Paris Brain Instituture, Inserm U1127, CNRS UMR 7225, Sorbonne Université, F-75013, Paris, France; Université Paris Cité, FHU NeuroVasc, Paris, FranceDepartment of Neurology, Research Institute for Medical Innovation, Radboud university medical center, Donders Institute for Brain, Cognition and Behaviour, Centre for medical neuroscience, Nijmegen, the NetherlandsInstitut du Cerveau et de la Moelle épinière, Paris Brain Instituture, Inserm U1127, CNRS UMR 7225, Sorbonne Université, F-75013, Paris, France; Université Paris Cité, FHU NeuroVasc, Paris, France; APHP, Lariboisière Hospital, Department of Neurology, Paris, FranceDepartment of Neurology, Research Institute for Medical Innovation, Radboud university medical center, Donders Institute for Brain, Cognition and Behaviour, Centre for medical neuroscience, Nijmegen, the Netherlands; Corresponding author.Background: MRI markers, including visible perivascular spaces (PVS), diffusion tensor image analysis along the perivascular space (DTI-ALPS) index, and peak width of skeletonized mean diffusivity (PSMD) may capture the earliest pathogenesis of cerebral small vessel disease (SVD). This study aimed to elucidate the association between these markers and cognitive decline in sporadic and hereditary SVD. Methods: We included individuals from two cohorts: (1) participants with sporadic SVD from the Radboud University Nijmegen Diffusion tensor Magnetic resonance imaging Cohort (RUNDMC) and (2) participants with cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) followed at the French National Referral Center. Individuals in both cohorts underwent neuroimaging and cognitive assessment over 14 years. We quantified baseline PVS burden, DTI-ALPS index and PSMD. We used linear mixed models to test their associations with longitudinal cognitive function, and Fine-and-Gray models to assess their association with incident all-cause dementia. Results: Cohort 1 included 446 individuals (mean age (SD) 65.2 years (8.9); 203 women), Cohort 2 included 164 individuals (mean age (SD) 49.9 years (12.6); 88 women). Baseline DTI-ALPS index was independently associated with better longitudinal processing speed (Cohort 1:β=0.11, 95 %CI 0.03–0.19) and cognitive index (Cohort 2:β=0.20, 95 %CI 0.06–0.33). Neither PVS burden, DTI-ALPS index nor PSMD were significantly associated with increased risk of all-cause dementia. Conclusion: These findings suggest that DTI-ALPS index may serve as a marker for cognitive decline. However, these markers have limited association with all-cause dementia risk. Future studies are needed to validate DTI-ALPS index and its link to cognitive decline.http://www.sciencedirect.com/science/article/pii/S2666245025000297Cerebral small vessel diseaseCerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathyPerivascular spacesDiffusion tensor image analysis along the perivascular space indexPeak width of skeletonized mean diffusivityDementia
spellingShingle Gemma Solé-Guardia
Hao Li
Jessica Lebenberg
Mina A Jacob
Ivy Uszynski
Roy P C Kessels
David G Norris
Cyril Poupon
Hugues Chabriat
Frank-Erik de Leeuw
Eric Jouvent
Anil M Tuladhar
Perivascular spaces, diffusion MRI markers and cognitive decline in cerebral small vessel disease
Cerebral small vessel disease
Cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy
Perivascular spaces
Diffusion tensor image analysis along the perivascular space index
Peak width of skeletonized mean diffusivity
Dementia
title Perivascular spaces, diffusion MRI markers and cognitive decline in cerebral small vessel disease
title_full Perivascular spaces, diffusion MRI markers and cognitive decline in cerebral small vessel disease
title_fullStr Perivascular spaces, diffusion MRI markers and cognitive decline in cerebral small vessel disease
title_full_unstemmed Perivascular spaces, diffusion MRI markers and cognitive decline in cerebral small vessel disease
title_short Perivascular spaces, diffusion MRI markers and cognitive decline in cerebral small vessel disease
title_sort perivascular spaces diffusion mri markers and cognitive decline in cerebral small vessel disease
topic Cerebral small vessel disease
Cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy
Perivascular spaces
Diffusion tensor image analysis along the perivascular space index
Peak width of skeletonized mean diffusivity
Dementia
url http://www.sciencedirect.com/science/article/pii/S2666245025000297
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