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...
| Published in: | Cerebral Circulation - Cognition and Behavior |
|---|---|
| Main Authors: | , , , , , , , , , , , |
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-01-01
|
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666245025000297 |
| _version_ | 1848666117669650432 |
|---|---|
| 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. |
| format | Article |
| id | doaj-art-906394e4e8564495b03845dd214c75d7 |
| institution | Directory of Open Access Journals |
| issn | 2666-2450 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Elsevier |
| record_format | Article |
| 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 |
| work_keys_str_mv | AT gemmasoleguardia perivascularspacesdiffusionmrimarkersandcognitivedeclineincerebralsmallvesseldisease AT haoli perivascularspacesdiffusionmrimarkersandcognitivedeclineincerebralsmallvesseldisease AT jessicalebenberg perivascularspacesdiffusionmrimarkersandcognitivedeclineincerebralsmallvesseldisease AT minaajacob perivascularspacesdiffusionmrimarkersandcognitivedeclineincerebralsmallvesseldisease AT ivyuszynski perivascularspacesdiffusionmrimarkersandcognitivedeclineincerebralsmallvesseldisease AT roypckessels perivascularspacesdiffusionmrimarkersandcognitivedeclineincerebralsmallvesseldisease AT davidgnorris perivascularspacesdiffusionmrimarkersandcognitivedeclineincerebralsmallvesseldisease AT cyrilpoupon perivascularspacesdiffusionmrimarkersandcognitivedeclineincerebralsmallvesseldisease AT hugueschabriat perivascularspacesdiffusionmrimarkersandcognitivedeclineincerebralsmallvesseldisease AT frankerikdeleeuw perivascularspacesdiffusionmrimarkersandcognitivedeclineincerebralsmallvesseldisease AT ericjouvent perivascularspacesdiffusionmrimarkersandcognitivedeclineincerebralsmallvesseldisease AT anilmtuladhar perivascularspacesdiffusionmrimarkersandcognitivedeclineincerebralsmallvesseldisease |
