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Zhang XQ, Yang YX, Zhang C, Leng XY, Chen SD, Ou YN, Kuo K, Cheng X, Han X, Cui M, Tan L, Feng L, Suckling J, Dong Q, Yu JT. Validation of external and internal exposome of the findings associated to cerebral small vessel disease: A Mendelian randomization study. J Cereb Blood Flow Metab 2022; 42:1078-1090. [PMID: 35018869 PMCID: PMC9125490 DOI: 10.1177/0271678x221074223] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
The exposome characterizes all environmental exposures and their impact on a disease. To determine the causally-associated components of the exposome for cerebral small vessel disease (CSVD), we performed mendelian randomization analysis of 5365 exposures on six clinical and subclinical CSVD measures. We found statistically significant evidence (FDR-corrected P < 0.05) that hypertension, high cholesterol, longer television-watching time, lower educational qualifications, younger age of first sexual intercourse, smoking, reduced pulmonary function, higher subjective overall health rating, and frequent tiredness were associated with increased risk of intracerebral hemorrhage or small vessel stroke. Adiposity, diabetes, frequent alcoholic drinks, higher white blood cell count and neutrophil count were significantly associated with higher risk of non-lobar hemorrhage or small vessel stroke, but not lobar hemorrhage. Hypertension, higher arm or leg fat-free mass and higher sitting height were significantly associated with higher white matter hyperintensities. The results were robust to sensitivity analyses and showed no evidence of horizontal pleiotropy. We also identified 41 exposures suggestively associated (uncorrected P < 0.05) with multiple CSVD measures as the "the CSVD exposome". This exposome-wide association study provides insight into CSVD development and prevention.
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Affiliation(s)
- Xue-Qing Zhang
- Department of Neurology and Institute of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yu-Xiang Yang
- Department of Neurology and Institute of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Can Zhang
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Xin-Yi Leng
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, China
| | - Shi-Dong Chen
- Department of Neurology and Institute of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Ya-Nan Ou
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Kevin Kuo
- Department of Neurology and Institute of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Xin Cheng
- Department of Neurology and Institute of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Xiang Han
- Department of Neurology and Institute of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Mei Cui
- Department of Neurology and Institute of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Lan Tan
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Lei Feng
- Department of Psychological Medicine, National University of Singapore, Singapore
| | - John Suckling
- Department of Psychiatry, 2152University of Cambridge, University of Cambridge, Cambridge, UK
| | - Qiang Dong
- Department of Neurology and Institute of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
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2
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Jansen MG, Griffanti L, Mackay CE, Anatürk M, Melazzini L, Lange AMGD, Filippini N, Zsoldos E, Wiegertjes K, Leeuw FED, Singh-Manoux A, Kivimäki M, Ebmeier KP, Suri S. Association of cerebral small vessel disease burden with brain structure and cognitive and vascular risk trajectories in mid-to-late life. J Cereb Blood Flow Metab 2022; 42:600-612. [PMID: 34610763 PMCID: PMC8943617 DOI: 10.1177/0271678x211048411] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
We characterize the associations of total cerebral small vessel disease (SVD) burden with brain structure, trajectories of vascular risk factors, and cognitive functions in mid-to-late life. Participants were 623 community-dwelling adults from the Whitehall II Imaging Sub-study with multi-modal MRI (mean age 69.96, SD = 5.18, 79% men). We used linear mixed-effects models to investigate associations of SVD burden with up to 25-year retrospective trajectories of vascular risk and cognitive performance. General linear modelling was used to investigate concurrent associations with grey matter (GM) density and white matter (WM) microstructure, and whether these associations were modified by cognitive status (Montreal Cognitive Asessment [MoCA] scores of < 26 vs. ≥ 26). Severe SVD burden in older age was associated with higher mean arterial pressure throughout midlife (β = 3.36, 95% CI [0.42-6.30]), and faster cognitive decline in letter fluency (β = -0.07, 95% CI [-0.13--0.01]), and verbal reasoning (β = -0.05, 95% CI [-0.11--0.001]). Moreover, SVD burden was related to lower GM volumes in 9.7% of total GM, and widespread WM microstructural decline (FWE-corrected p < 0.05). The latter association was most pronounced in individuals who demonstrated cognitive impairments on MoCA (MoCA < 26; F3,608 = 2.14, p = 0.007). These findings highlight the importance of managing midlife vascular health to preserve brain structure and cognitive function in old age.
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Affiliation(s)
- Michelle G Jansen
- Donders Centre for Cognition, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands.,Department of Neurology, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Ludovica Griffanti
- Department of Psychiatry, 6396University of Oxford, University of Oxford, Oxford, UK.,Wellcome Centre for Integrative Neuroimaging (Oxford Centres for Functional MRI of the Brain & Human Brain Activity) University of Oxford, Oxford, UK
| | - Clare E Mackay
- Department of Psychiatry, 6396University of Oxford, University of Oxford, Oxford, UK.,Wellcome Centre for Integrative Neuroimaging (Oxford Centres for Functional MRI of the Brain & Human Brain Activity) University of Oxford, Oxford, UK
| | - Melis Anatürk
- Department of Psychiatry, 6396University of Oxford, University of Oxford, Oxford, UK.,Centre for Medical Image Computing, Department of Computer Science, 4919University College London, University College London, London, UK
| | - Luca Melazzini
- Wellcome Centre for Integrative Neuroimaging (Oxford Centres for Functional MRI of the Brain & Human Brain Activity) University of Oxford, Oxford, UK.,Department of Biomedical Sciences for Health, Università degli Studi di Milano, Milan, Italy
| | - Ann-Marie G de Lange
- Department of Psychiatry, 6396University of Oxford, University of Oxford, Oxford, UK.,Department of Psychology, 6305University of Oslo, University of Oslo, Oslo, Norway
| | | | - Enikő Zsoldos
- Department of Psychiatry, 6396University of Oxford, University of Oxford, Oxford, UK.,Wellcome Centre for Integrative Neuroimaging (Oxford Centres for Functional MRI of the Brain & Human Brain Activity) University of Oxford, Oxford, UK
| | - Kim Wiegertjes
- Department of Neurology, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Frank-Erik de Leeuw
- Department of Neurology, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Archana Singh-Manoux
- Department of Epidemiology and Public Health, 4919University College London, University College London, London, UK.,INSERM, Epidemiology of Ageing and Neurogenerative Diseases, Université de Paris, Paris, France
| | - Mika Kivimäki
- Department of Epidemiology and Public Health, 4919University College London, University College London, London, UK
| | - Klaus P Ebmeier
- Department of Psychiatry, 6396University of Oxford, University of Oxford, Oxford, UK
| | - Sana Suri
- Department of Psychiatry, 6396University of Oxford, University of Oxford, Oxford, UK.,Wellcome Centre for Integrative Neuroimaging (Oxford Centres for Functional MRI of the Brain & Human Brain Activity) University of Oxford, Oxford, UK
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3
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Backhouse EV, Shenkin SD, McIntosh AM, Bastin ME, Whalley HC, Valdez Hernandez M, Muñoz Maniega S, Harris MA, Stolicyn A, Campbell A, Steele D, Waiter GD, Sandu AL, Waymont JMJ, Murray AD, Cox SR, de Rooij SR, Roseboom TJ, Wardlaw JM. Early life predictors of late life cerebral small vessel disease in four prospective cohort studies. Brain 2021; 144:3769-3778. [PMID: 34581779 PMCID: PMC8719837 DOI: 10.1093/brain/awab331] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2021] [Revised: 06/12/2021] [Accepted: 07/07/2021] [Indexed: 11/12/2022] Open
Abstract
Development of cerebral small vessel disease, a major cause of stroke and dementia, may be influenced by early life factors. It is unclear whether these relationships are independent of each other, of adult socio-economic status or of vascular risk factor exposures. We examined associations between factors from birth (ponderal index, birth weight), childhood (IQ, education, socio-economic status), adult small vessel disease, and brain volumes, using data from four prospective cohort studies: STratifying Resilience And Depression Longitudinally (STRADL) (n = 1080; mean age = 59 years); the Dutch Famine Birth Cohort (n = 118; mean age = 68 years); the Lothian Birth Cohort 1936 (LBC1936; n = 617; mean age = 73 years), and the Simpson's cohort (n = 110; mean age = 78 years). We analysed each small vessel disease feature individually and summed to give a total small vessel disease score (range 1-4) in each cohort separately, then in meta-analysis, adjusted for vascular risk factors and adult socio-economic status. Higher birth weight was associated with fewer lacunes [odds ratio (OR) per 100 g = 0.93, 95% confidence interval (CI) = 0.88 to 0.99], fewer infarcts (OR = 0.94, 95% CI = 0.89 to 0.99), and fewer perivascular spaces (OR = 0.95, 95% CI = 0.91 to 0.99). Higher childhood IQ was associated with lower white matter hyperintensity burden (OR per IQ point = 0.99, 95% CI 0.98 to 0.998), fewer infarcts (OR = 0.98, 95% CI = 0.97 to 0.998), fewer lacunes (OR = 0.98, 95% CI = 0.97 to 0.999), and lower total small vessel disease burden (OR = 0.98, 95% CI = 0.96 to 0.999). Low education was associated with more microbleeds (OR = 1.90, 95% CI = 1.33 to 2.72) and lower total brain volume (mean difference = -178.86 cm3, 95% CI = -325.07 to -32.66). Low childhood socio-economic status was associated with fewer lacunes (OR = 0.62, 95% CI = 0.40 to 0.95). Early life factors are associated with worse small vessel disease in later life, independent of each other, vascular risk factors and adult socio-economic status. Risk for small vessel disease may originate in early life and provide a mechanistic link between early life factors and risk of stroke and dementia. Policies investing in early child development may improve lifelong brain health and contribute to the prevention of dementia and stroke in older age.
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Affiliation(s)
- Ellen V Backhouse
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, EH16 4SB, UK
- MRC UK Dementia Research Institute at the University of Edinburgh, Edinburgh, EH16 4SB, UK
| | - Susan D Shenkin
- Geriatric Medicine, Usher Institute, The University of Edinburgh, Edinburgh, EH16 4SB, UK
| | - Andrew M McIntosh
- Division of Psychiatry, Royal Edinburgh Hospital, University of Edinburgh, Edinburgh, EH10 5HF, UK
| | - Mark E Bastin
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, EH16 4SB, UK
- Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE), Institute of Neuroscience and Psychology, Glasgow G12 8QB, UK
- Brain Research Imaging Centre, Division of Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, EH16 4TJ, UK
| | - Heather C Whalley
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, EH16 4SB, UK
- Division of Psychiatry, Royal Edinburgh Hospital, University of Edinburgh, Edinburgh, EH10 5HF, UK
| | - Maria Valdez Hernandez
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, EH16 4SB, UK
- Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE), Institute of Neuroscience and Psychology, Glasgow G12 8QB, UK
- Brain Research Imaging Centre, Division of Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, EH16 4TJ, UK
| | - Susana Muñoz Maniega
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, EH16 4SB, UK
- Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE), Institute of Neuroscience and Psychology, Glasgow G12 8QB, UK
- Brain Research Imaging Centre, Division of Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, EH16 4TJ, UK
| | - Mathew A Harris
- Division of Psychiatry, Royal Edinburgh Hospital, University of Edinburgh, Edinburgh, EH10 5HF, UK
| | - Aleks Stolicyn
- Division of Psychiatry, Royal Edinburgh Hospital, University of Edinburgh, Edinburgh, EH10 5HF, UK
| | - Archie Campbell
- Division of Psychiatry, Royal Edinburgh Hospital, University of Edinburgh, Edinburgh, EH10 5HF, UK
| | - Douglas Steele
- Division of Imaging Sciences and Technology, Medical School, University of Dundee, Dundee, DD1 9SY, UK
| | - Gordon D Waiter
- Aberdeen Biomedical Imaging Centre, School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Foresterhill, Aberdeen, AB25 2ZD, UK
| | - Anca-Larisa Sandu
- Aberdeen Biomedical Imaging Centre, School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Foresterhill, Aberdeen, AB25 2ZD, UK
| | - Jennifer M J Waymont
- Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE), Institute of Neuroscience and Psychology, Glasgow G12 8QB, UK
- Aberdeen Biomedical Imaging Centre, School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Foresterhill, Aberdeen, AB25 2ZD, UK
| | - Alison D Murray
- Aberdeen Biomedical Imaging Centre, School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Foresterhill, Aberdeen, AB25 2ZD, UK
| | - Simon R Cox
- Lothian Birth Cohorts Group, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Susanne R de Rooij
- Department of Epidemiology and Data Science, Amsterdam University, Medical Centres, University of Amsterdam, The Netherlands
| | - Tessa J Roseboom
- Department of Epidemiology and Data Science, Amsterdam University, Medical Centres, University of Amsterdam, The Netherlands
| | - Joanna M Wardlaw
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, EH16 4SB, UK
- MRC UK Dementia Research Institute at the University of Edinburgh, Edinburgh, EH16 4SB, UK
- Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE), Institute of Neuroscience and Psychology, Glasgow G12 8QB, UK
- Brain Research Imaging Centre, Division of Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, EH16 4TJ, UK
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4
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Tsuchida A, Laurent A, Crivello F, Petit L, Joliot M, Pepe A, Beguedou N, Gueye MF, Verrecchia V, Nozais V, Zago L, Mellet E, Debette S, Tzourio C, Mazoyer B. The MRi-Share database: brain imaging in a cross-sectional cohort of 1870 university students. Brain Struct Funct 2021; 226:2057-2085. [PMID: 34283296 DOI: 10.1007/s00429-021-02334-4] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Accepted: 06/11/2021] [Indexed: 01/04/2023]
Abstract
We report on MRi-Share, a multi-modal brain MRI database acquired in a unique sample of 1870 young healthy adults, aged 18-35 years, while undergoing university-level education. MRi-Share contains structural (T1 and FLAIR), diffusion (multispectral), susceptibility-weighted (SWI), and resting-state functional imaging modalities. Here, we described the contents of these different neuroimaging datasets and the processing pipelines used to derive brain phenotypes, as well as how quality control was assessed. In addition, we present preliminary results on associations of some of these brain image-derived phenotypes at the whole brain level with both age and sex, in the subsample of 1722 individuals aged less than 26 years. We demonstrate that the post-adolescence period is characterized by changes in both structural and microstructural brain phenotypes. Grey matter cortical thickness, surface area and volume were found to decrease with age, while white matter volume shows increase. Diffusivity, either radial or axial, was found to robustly decrease with age whereas fractional anisotropy only slightly increased. As for the neurite orientation dispersion and densities, both were found to increase with age. The isotropic volume fraction also showed a slight increase with age. These preliminary findings emphasize the complexity of changes in brain structure and function occurring in this critical period at the interface of late maturation and early ageing.
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Affiliation(s)
- Ami Tsuchida
- Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, Université de Bordeaux, Bordeaux, France.,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, CNRS, Bordeaux, France.,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, CEA, Bordeaux, France
| | - Alexandre Laurent
- Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, Université de Bordeaux, Bordeaux, France.,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, CNRS, Bordeaux, France.,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, CEA, Bordeaux, France
| | - Fabrice Crivello
- Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, Université de Bordeaux, Bordeaux, France.,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, CNRS, Bordeaux, France.,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, CEA, Bordeaux, France
| | - Laurent Petit
- Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, Université de Bordeaux, Bordeaux, France.,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, CNRS, Bordeaux, France.,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, CEA, Bordeaux, France
| | - Marc Joliot
- Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, Université de Bordeaux, Bordeaux, France.,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, CNRS, Bordeaux, France.,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, CEA, Bordeaux, France.,Ginesislab, Fealinx and Université de Bordeaux, Bordeaux, France
| | - Antonietta Pepe
- Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, Université de Bordeaux, Bordeaux, France.,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, CNRS, Bordeaux, France.,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, CEA, Bordeaux, France
| | - Naka Beguedou
- Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, Université de Bordeaux, Bordeaux, France.,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, CNRS, Bordeaux, France.,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, CEA, Bordeaux, France
| | - Marie-Fateye Gueye
- Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, Université de Bordeaux, Bordeaux, France.,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, CNRS, Bordeaux, France.,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, CEA, Bordeaux, France.,Ginesislab, Fealinx and Université de Bordeaux, Bordeaux, France
| | - Violaine Verrecchia
- Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, Université de Bordeaux, Bordeaux, France.,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, CNRS, Bordeaux, France.,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, CEA, Bordeaux, France.,Ginesislab, Fealinx and Université de Bordeaux, Bordeaux, France
| | - Victor Nozais
- Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, Université de Bordeaux, Bordeaux, France.,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, CNRS, Bordeaux, France.,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, CEA, Bordeaux, France.,Ginesislab, Fealinx and Université de Bordeaux, Bordeaux, France
| | - Laure Zago
- Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, Université de Bordeaux, Bordeaux, France.,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, CNRS, Bordeaux, France.,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, CEA, Bordeaux, France
| | - Emmanuel Mellet
- Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, Université de Bordeaux, Bordeaux, France.,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, CNRS, Bordeaux, France.,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, CEA, Bordeaux, France
| | - Stéphanie Debette
- Université de Bordeaux, INSERM, Bordeaux Population Health Research Center, U1219, CHU Bordeaux, Bordeaux, France.,Centre Hospitalier Universitaire Pellegrin, Bordeaux, France
| | - Christophe Tzourio
- Université de Bordeaux, INSERM, Bordeaux Population Health Research Center, U1219, CHU Bordeaux, Bordeaux, France.,Centre Hospitalier Universitaire Pellegrin, Bordeaux, France
| | - Bernard Mazoyer
- Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, Université de Bordeaux, Bordeaux, France. .,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, CNRS, Bordeaux, France. .,Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293, CEA, Bordeaux, France. .,Ginesislab, Fealinx and Université de Bordeaux, Bordeaux, France. .,Centre Hospitalier Universitaire Pellegrin, Bordeaux, France.
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5
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Cerebral small vessel disease burden and longitudinal cognitive decline from age 73 to 82: the Lothian Birth Cohort 1936. Transl Psychiatry 2021; 11:376. [PMID: 34226517 PMCID: PMC8257729 DOI: 10.1038/s41398-021-01495-4] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Revised: 06/14/2021] [Accepted: 06/22/2021] [Indexed: 12/15/2022] Open
Abstract
Slowed processing speed is considered a hallmark feature of cognitive decline in cerebral small vessel disease (SVD); however, it is unclear whether SVD's association with slowed processing might be due to its association with overall declining general cognitive ability. We quantified the total MRI-visible SVD burden of 540 members of the Lothian Birth Cohort 1936 (age: 72.6 ± 0.7 years; 47% female). Using latent growth curve modelling, we tested associations between total SVD burden at mean age 73 and changes in general cognitive ability, processing speed, verbal memory and visuospatial ability, measured at age 73, 76, 79 and 82. Covariates included age, sex, vascular risk and childhood cognitive ability. In the fully adjusted models, greater SVD burden was associated with greater declines in general cognitive ability (standardised β: -0.201; 95% CI: [-0.36, -0.04]; pFDR = 0.022) and processing speed (-0.222; [-0.40, -0.04]; pFDR = 0.022). SVD burden accounted for between 4 and 5% of variance in declines of general cognitive ability and processing speed. After accounting for the covariance between tests of processing speed and general cognitive ability, only SVD's association with greater decline in general cognitive ability remained significant, prior to FDR correction (-0.222; [-0.39, -0.06]; p = 0.008; pFDR = 0.085). Our findings do not support the notion that SVD has a specific association with declining processing speed, independent of decline in general cognitive ability (which captures the variance shared across domains of cognitive ability). The association between SVD burden and declining general cognitive ability supports the notion of SVD as a diffuse, whole-brain disease and suggests that trials monitoring SVD-related cognitive changes should consider domain-specific changes in the context of overall, general cognitive decline.
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6
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Resistance to developing brain pathology due to vascular risk factors: the role of educational attainment. Neurobiol Aging 2021; 106:197-206. [PMID: 34298318 DOI: 10.1016/j.neurobiolaging.2021.06.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Revised: 04/19/2021] [Accepted: 06/10/2021] [Indexed: 11/22/2022]
Abstract
Brain pathology develops at different rates between individuals with similar burden of risk factors, possibly explained by brain resistance. We examined if education contributes to brain resistance by studying its influence on the association between vascular risk factors and brain pathology. In 4111 stroke-free and dementia-free community-dwelling participants (62.9 ± 10.7 years), we explored the association between vascular risk factors (hypertension and the Framingham Stroke Risk Profile [FRSP]) and imaging markers of brain pathology (markers of cerebral small vessel disease and brain volumetry), stratified by educational attainment level. Associations of hypertension and FSRP with markers of brain pathology were not significantly different between levels of educational attainment. Certain associations appeared weaker in those with higher compared to lower educational attainment, particularly for white matter hyperintensities (WMH). Supplementary residual analyses showed significant associations between higher educational attainment and stronger resistance to WMH among others. Our results suggest a role for educational attainment in resistance to vascular brain pathology. Yet, further research is needed to better characterize determinants of brain resistance.
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7
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Oveisgharan S, Wilson RS, Yu L, Schneider JA, Bennett DA. Association of Early-Life Cognitive Enrichment With Alzheimer Disease Pathological Changes and Cognitive Decline. JAMA Neurol 2021; 77:1217-1224. [PMID: 32597941 DOI: 10.1001/jamaneurol.2020.1941] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Importance Indicators of early-life cognitive enrichment (ELCE) have been associated with slower cognitive decline and decreased dementia in late life. However, the mechanisms underlying this association have not been elucidated. Objective To examine the association of ELCE with late-life Alzheimer disease (AD) and other common dementia-related pathological changes. Design, Setting, and Participants This clinical-pathological community-based cohort study, the Rush Memory and Aging Project, followed up participants before death for a mean (SD) of 7.0 (3.8) years with annual cognitive and clinical assessments. From January 1, 1997, through June 30, 2019, 2044 participants enrolled, of whom 1018 died. Postmortem data were leveraged from 813 participants. Data were analyzed from April 12, 2019, to February 20, 2020. Exposures Four indicators of ELCE (early-life socioeconomic status, availability of cognitive resources at 12 years of age, frequency of participation in cognitively stimulating activities, and early-life foreign language instruction) were obtained by self-report at the study baseline, from which a composite measure of ELCE was derived. Main Outcomes and Measures A continuous global AD pathology score derived from counts of diffuse plaques, neuritic plaques, and neurofibrillary tangles. Results The 813 participants included in the analysis had a mean (SD) age of 90.1 (6.3) years at the time of death, and 562 (69%) were women. In a linear regression model controlled for age at death, sex, and educational level, a higher level of ELCE was associated with a lower global AD pathology score (estimate, -0.057; standard error, 0.022; P = .01). However, ELCE was not associated with any other dementia-related pathological changes. In addition, a higher level of ELCE was associated with less cognitive decline (mean [SD], -0.13 [0.19] units per year; range, -1.74 to 0.85). An indirect effect through AD pathological changes constituted 20% of the association between ELCE and the rate of late-life cognitive decline, and 80% was a direct association. Conclusions and Relevance These findings suggest that ELCE was associated with better late-life cognitive health, in part through an association with fewer AD pathological changes.
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Affiliation(s)
- Shahram Oveisgharan
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois.,Department of Neurological Sciences, Rush University Medical Center, Chicago, Illinois
| | - Robert S Wilson
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois.,Department of Neurological Sciences, Rush University Medical Center, Chicago, Illinois.,Department of Behavioral Sciences, Rush University Medical Center, Chicago, Illinois
| | - Lei Yu
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois.,Department of Neurological Sciences, Rush University Medical Center, Chicago, Illinois
| | - Julie A Schneider
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois.,Department of Neurological Sciences, Rush University Medical Center, Chicago, Illinois.,Department of Pathology, Rush University Medical Center, Chicago, Illinois
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois.,Department of Neurological Sciences, Rush University Medical Center, Chicago, Illinois
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8
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Zhou LW, Panenka WJ, Al-Momen G, Gicas KM, Thornton AE, Jones AA, Woodward M, Heran MKS, Vertinsky AT, Su W, Barr AM, MacEwan GW, Lang DJ, Rauscher A, Honer WG, Field TS. Cerebral Small Vessel Disease, Risk Factors, and Cognition in Tenants of Precarious Housing. Stroke 2020; 51:3271-3278. [PMID: 33019899 DOI: 10.1161/strokeaha.120.030446] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
BACKGROUND AND PURPOSE We aim to describe the burden, characteristics, and cognitive associations of cerebral small vessel disease in a Canadian sample living with multimorbidity in precarious housing. METHODS Participants received T1, T2-fluid-attenuated inversion recovery, and susceptibility-weighted imaging 3T magnetic resonance imaging sequences and comprehensive clinical, laboratory, and cognitive assessments. Cerebral small vessel disease burden was characterized using a modified Small Vessel Disease (mSVD) score. One point each was given for moderate-severe white matter hyperintensities, ≥1 cerebral microbleeds, and ≥1 lacune. Multivariable regression explored associations between mSVD score, risk factors, and cognitive performance. RESULTS Median age of the 228 participants (77% male) was 44.7 years (range, 23.3-63.2). In n=188 participants with consistent good quality magnetic resonance imaging sequences, mSVD scores were 0 (n=127, 68%), 1 (n=50, 27%), and 2 (n=11, 6%). Overall, one-third had an mSVD ≥1 n=61 (32%); this proportion was unchanged when adding participants with missing sequences n=72/228 (32%). The most prevalent feature was white matter hyperintensities 53/218 (24%) then cerebral microbleed 16/191 (8%) and lacunes 16/228 (7%). Older age (odds ratio, 1.10 [95% CI, 1.05-1.15], P<0.001), higher diastolic blood pressure (odds ratio, 1.05 [95% CI, 1.01-1.09], P=0.008), and a history of injection drug use (odds ratio, 3.13 [95% CI, 1.07-9.16], P=0.037) had significant independent associations with a mSVD score of ≥1 in multivariable analysis. mSVD ≥1 was associated with lower performance on tests of verbal memory, sustained attention, and decision-making, contributing 4% to 5% of the variance in each cognitive domain. CONCLUSIONS The 32% prevalence of cerebral small vessel disease in this young, socially marginalized cohort was higher than expected for age and was associated with poorer cognitive performance.
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Affiliation(s)
- Lily W Zhou
- Division of Neurology (L.W.Z., A.A.J., T.S.F.), University of British Columbia (UBC), Vancouver, Canada.,Department of Psychiatry (W.J.P., M.W., W.S., G.W.M., W.G.H.), University of British Columbia (UBC), Vancouver, Canada.,Department of Radiology (M.K.S.H., A.T.V., D.J.L.), University of British Columbia (UBC), Vancouver, Canada.,Department of Paediatrics (A.R.), University of British Columbia (UBC), Vancouver, Canada.,Department of Anesthesia, Pharmacology & Therapeutics (A.M.B.), University of British Columbia (UBC), Vancouver, Canada.,Department of Neurology, King Fahad medical city, Riyadh, Saudi Arabia (G.A.-M.).,Department of Psychology, York University, Toronto, Canada (K.M.G.).,Department of Psychology, Simon Fraser University, Burnaby, Canada (A.E.T.).,BC Provincial Neuropsychiatry program, Vancouver, Canada (W.J.P.).,BC Mental Health and Substance Use Services Research Institute, Vancouver, Canada (W.J.P., M.W., W.G.H.)
| | - William J Panenka
- Division of Neurology (L.W.Z., A.A.J., T.S.F.), University of British Columbia (UBC), Vancouver, Canada.,Department of Psychiatry (W.J.P., M.W., W.S., G.W.M., W.G.H.), University of British Columbia (UBC), Vancouver, Canada.,Department of Radiology (M.K.S.H., A.T.V., D.J.L.), University of British Columbia (UBC), Vancouver, Canada.,Department of Paediatrics (A.R.), University of British Columbia (UBC), Vancouver, Canada.,Department of Anesthesia, Pharmacology & Therapeutics (A.M.B.), University of British Columbia (UBC), Vancouver, Canada.,Department of Neurology, King Fahad medical city, Riyadh, Saudi Arabia (G.A.-M.).,Department of Psychology, York University, Toronto, Canada (K.M.G.).,Department of Psychology, Simon Fraser University, Burnaby, Canada (A.E.T.).,BC Provincial Neuropsychiatry program, Vancouver, Canada (W.J.P.).,BC Mental Health and Substance Use Services Research Institute, Vancouver, Canada (W.J.P., M.W., W.G.H.)
| | - Ghadeer Al-Momen
- Division of Neurology (L.W.Z., A.A.J., T.S.F.), University of British Columbia (UBC), Vancouver, Canada.,Department of Psychiatry (W.J.P., M.W., W.S., G.W.M., W.G.H.), University of British Columbia (UBC), Vancouver, Canada.,Department of Radiology (M.K.S.H., A.T.V., D.J.L.), University of British Columbia (UBC), Vancouver, Canada.,Department of Paediatrics (A.R.), University of British Columbia (UBC), Vancouver, Canada.,Department of Anesthesia, Pharmacology & Therapeutics (A.M.B.), University of British Columbia (UBC), Vancouver, Canada.,Department of Neurology, King Fahad medical city, Riyadh, Saudi Arabia (G.A.-M.).,Department of Psychology, York University, Toronto, Canada (K.M.G.).,Department of Psychology, Simon Fraser University, Burnaby, Canada (A.E.T.).,BC Provincial Neuropsychiatry program, Vancouver, Canada (W.J.P.).,BC Mental Health and Substance Use Services Research Institute, Vancouver, Canada (W.J.P., M.W., W.G.H.)
| | - Kristina M Gicas
- Division of Neurology (L.W.Z., A.A.J., T.S.F.), University of British Columbia (UBC), Vancouver, Canada.,Department of Psychiatry (W.J.P., M.W., W.S., G.W.M., W.G.H.), University of British Columbia (UBC), Vancouver, Canada.,Department of Radiology (M.K.S.H., A.T.V., D.J.L.), University of British Columbia (UBC), Vancouver, Canada.,Department of Paediatrics (A.R.), University of British Columbia (UBC), Vancouver, Canada.,Department of Anesthesia, Pharmacology & Therapeutics (A.M.B.), University of British Columbia (UBC), Vancouver, Canada.,Department of Neurology, King Fahad medical city, Riyadh, Saudi Arabia (G.A.-M.).,Department of Psychology, York University, Toronto, Canada (K.M.G.).,Department of Psychology, Simon Fraser University, Burnaby, Canada (A.E.T.).,BC Provincial Neuropsychiatry program, Vancouver, Canada (W.J.P.).,BC Mental Health and Substance Use Services Research Institute, Vancouver, Canada (W.J.P., M.W., W.G.H.)
| | - Allen E Thornton
- Division of Neurology (L.W.Z., A.A.J., T.S.F.), University of British Columbia (UBC), Vancouver, Canada.,Department of Psychiatry (W.J.P., M.W., W.S., G.W.M., W.G.H.), University of British Columbia (UBC), Vancouver, Canada.,Department of Radiology (M.K.S.H., A.T.V., D.J.L.), University of British Columbia (UBC), Vancouver, Canada.,Department of Paediatrics (A.R.), University of British Columbia (UBC), Vancouver, Canada.,Department of Anesthesia, Pharmacology & Therapeutics (A.M.B.), University of British Columbia (UBC), Vancouver, Canada.,Department of Neurology, King Fahad medical city, Riyadh, Saudi Arabia (G.A.-M.).,Department of Psychology, York University, Toronto, Canada (K.M.G.).,Department of Psychology, Simon Fraser University, Burnaby, Canada (A.E.T.).,BC Provincial Neuropsychiatry program, Vancouver, Canada (W.J.P.).,BC Mental Health and Substance Use Services Research Institute, Vancouver, Canada (W.J.P., M.W., W.G.H.)
| | - Andrea A Jones
- Division of Neurology (L.W.Z., A.A.J., T.S.F.), University of British Columbia (UBC), Vancouver, Canada.,Department of Psychiatry (W.J.P., M.W., W.S., G.W.M., W.G.H.), University of British Columbia (UBC), Vancouver, Canada.,Department of Radiology (M.K.S.H., A.T.V., D.J.L.), University of British Columbia (UBC), Vancouver, Canada.,Department of Paediatrics (A.R.), University of British Columbia (UBC), Vancouver, Canada.,Department of Anesthesia, Pharmacology & Therapeutics (A.M.B.), University of British Columbia (UBC), Vancouver, Canada.,Department of Neurology, King Fahad medical city, Riyadh, Saudi Arabia (G.A.-M.).,Department of Psychology, York University, Toronto, Canada (K.M.G.).,Department of Psychology, Simon Fraser University, Burnaby, Canada (A.E.T.).,BC Provincial Neuropsychiatry program, Vancouver, Canada (W.J.P.).,BC Mental Health and Substance Use Services Research Institute, Vancouver, Canada (W.J.P., M.W., W.G.H.)
| | - Melissa Woodward
- Division of Neurology (L.W.Z., A.A.J., T.S.F.), University of British Columbia (UBC), Vancouver, Canada.,Department of Psychiatry (W.J.P., M.W., W.S., G.W.M., W.G.H.), University of British Columbia (UBC), Vancouver, Canada.,Department of Radiology (M.K.S.H., A.T.V., D.J.L.), University of British Columbia (UBC), Vancouver, Canada.,Department of Paediatrics (A.R.), University of British Columbia (UBC), Vancouver, Canada.,Department of Anesthesia, Pharmacology & Therapeutics (A.M.B.), University of British Columbia (UBC), Vancouver, Canada.,Department of Neurology, King Fahad medical city, Riyadh, Saudi Arabia (G.A.-M.).,Department of Psychology, York University, Toronto, Canada (K.M.G.).,Department of Psychology, Simon Fraser University, Burnaby, Canada (A.E.T.).,BC Provincial Neuropsychiatry program, Vancouver, Canada (W.J.P.).,BC Mental Health and Substance Use Services Research Institute, Vancouver, Canada (W.J.P., M.W., W.G.H.)
| | - Manraj K S Heran
- Division of Neurology (L.W.Z., A.A.J., T.S.F.), University of British Columbia (UBC), Vancouver, Canada.,Department of Psychiatry (W.J.P., M.W., W.S., G.W.M., W.G.H.), University of British Columbia (UBC), Vancouver, Canada.,Department of Radiology (M.K.S.H., A.T.V., D.J.L.), University of British Columbia (UBC), Vancouver, Canada.,Department of Paediatrics (A.R.), University of British Columbia (UBC), Vancouver, Canada.,Department of Anesthesia, Pharmacology & Therapeutics (A.M.B.), University of British Columbia (UBC), Vancouver, Canada.,Department of Neurology, King Fahad medical city, Riyadh, Saudi Arabia (G.A.-M.).,Department of Psychology, York University, Toronto, Canada (K.M.G.).,Department of Psychology, Simon Fraser University, Burnaby, Canada (A.E.T.).,BC Provincial Neuropsychiatry program, Vancouver, Canada (W.J.P.).,BC Mental Health and Substance Use Services Research Institute, Vancouver, Canada (W.J.P., M.W., W.G.H.)
| | - A Talia Vertinsky
- Division of Neurology (L.W.Z., A.A.J., T.S.F.), University of British Columbia (UBC), Vancouver, Canada.,Department of Psychiatry (W.J.P., M.W., W.S., G.W.M., W.G.H.), University of British Columbia (UBC), Vancouver, Canada.,Department of Radiology (M.K.S.H., A.T.V., D.J.L.), University of British Columbia (UBC), Vancouver, Canada.,Department of Paediatrics (A.R.), University of British Columbia (UBC), Vancouver, Canada.,Department of Anesthesia, Pharmacology & Therapeutics (A.M.B.), University of British Columbia (UBC), Vancouver, Canada.,Department of Neurology, King Fahad medical city, Riyadh, Saudi Arabia (G.A.-M.).,Department of Psychology, York University, Toronto, Canada (K.M.G.).,Department of Psychology, Simon Fraser University, Burnaby, Canada (A.E.T.).,BC Provincial Neuropsychiatry program, Vancouver, Canada (W.J.P.).,BC Mental Health and Substance Use Services Research Institute, Vancouver, Canada (W.J.P., M.W., W.G.H.)
| | - Wayne Su
- Division of Neurology (L.W.Z., A.A.J., T.S.F.), University of British Columbia (UBC), Vancouver, Canada.,Department of Psychiatry (W.J.P., M.W., W.S., G.W.M., W.G.H.), University of British Columbia (UBC), Vancouver, Canada.,Department of Radiology (M.K.S.H., A.T.V., D.J.L.), University of British Columbia (UBC), Vancouver, Canada.,Department of Paediatrics (A.R.), University of British Columbia (UBC), Vancouver, Canada.,Department of Anesthesia, Pharmacology & Therapeutics (A.M.B.), University of British Columbia (UBC), Vancouver, Canada.,Department of Neurology, King Fahad medical city, Riyadh, Saudi Arabia (G.A.-M.).,Department of Psychology, York University, Toronto, Canada (K.M.G.).,Department of Psychology, Simon Fraser University, Burnaby, Canada (A.E.T.).,BC Provincial Neuropsychiatry program, Vancouver, Canada (W.J.P.).,BC Mental Health and Substance Use Services Research Institute, Vancouver, Canada (W.J.P., M.W., W.G.H.)
| | - Alasdair M Barr
- Division of Neurology (L.W.Z., A.A.J., T.S.F.), University of British Columbia (UBC), Vancouver, Canada.,Department of Psychiatry (W.J.P., M.W., W.S., G.W.M., W.G.H.), University of British Columbia (UBC), Vancouver, Canada.,Department of Radiology (M.K.S.H., A.T.V., D.J.L.), University of British Columbia (UBC), Vancouver, Canada.,Department of Paediatrics (A.R.), University of British Columbia (UBC), Vancouver, Canada.,Department of Anesthesia, Pharmacology & Therapeutics (A.M.B.), University of British Columbia (UBC), Vancouver, Canada.,Department of Neurology, King Fahad medical city, Riyadh, Saudi Arabia (G.A.-M.).,Department of Psychology, York University, Toronto, Canada (K.M.G.).,Department of Psychology, Simon Fraser University, Burnaby, Canada (A.E.T.).,BC Provincial Neuropsychiatry program, Vancouver, Canada (W.J.P.).,BC Mental Health and Substance Use Services Research Institute, Vancouver, Canada (W.J.P., M.W., W.G.H.)
| | - G William MacEwan
- Division of Neurology (L.W.Z., A.A.J., T.S.F.), University of British Columbia (UBC), Vancouver, Canada.,Department of Psychiatry (W.J.P., M.W., W.S., G.W.M., W.G.H.), University of British Columbia (UBC), Vancouver, Canada.,Department of Radiology (M.K.S.H., A.T.V., D.J.L.), University of British Columbia (UBC), Vancouver, Canada.,Department of Paediatrics (A.R.), University of British Columbia (UBC), Vancouver, Canada.,Department of Anesthesia, Pharmacology & Therapeutics (A.M.B.), University of British Columbia (UBC), Vancouver, Canada.,Department of Neurology, King Fahad medical city, Riyadh, Saudi Arabia (G.A.-M.).,Department of Psychology, York University, Toronto, Canada (K.M.G.).,Department of Psychology, Simon Fraser University, Burnaby, Canada (A.E.T.).,BC Provincial Neuropsychiatry program, Vancouver, Canada (W.J.P.).,BC Mental Health and Substance Use Services Research Institute, Vancouver, Canada (W.J.P., M.W., W.G.H.)
| | - Donna J Lang
- Division of Neurology (L.W.Z., A.A.J., T.S.F.), University of British Columbia (UBC), Vancouver, Canada.,Department of Psychiatry (W.J.P., M.W., W.S., G.W.M., W.G.H.), University of British Columbia (UBC), Vancouver, Canada.,Department of Radiology (M.K.S.H., A.T.V., D.J.L.), University of British Columbia (UBC), Vancouver, Canada.,Department of Paediatrics (A.R.), University of British Columbia (UBC), Vancouver, Canada.,Department of Anesthesia, Pharmacology & Therapeutics (A.M.B.), University of British Columbia (UBC), Vancouver, Canada.,Department of Neurology, King Fahad medical city, Riyadh, Saudi Arabia (G.A.-M.).,Department of Psychology, York University, Toronto, Canada (K.M.G.).,Department of Psychology, Simon Fraser University, Burnaby, Canada (A.E.T.).,BC Provincial Neuropsychiatry program, Vancouver, Canada (W.J.P.).,BC Mental Health and Substance Use Services Research Institute, Vancouver, Canada (W.J.P., M.W., W.G.H.)
| | - Alexander Rauscher
- Division of Neurology (L.W.Z., A.A.J., T.S.F.), University of British Columbia (UBC), Vancouver, Canada.,Department of Psychiatry (W.J.P., M.W., W.S., G.W.M., W.G.H.), University of British Columbia (UBC), Vancouver, Canada.,Department of Radiology (M.K.S.H., A.T.V., D.J.L.), University of British Columbia (UBC), Vancouver, Canada.,Department of Paediatrics (A.R.), University of British Columbia (UBC), Vancouver, Canada.,Department of Anesthesia, Pharmacology & Therapeutics (A.M.B.), University of British Columbia (UBC), Vancouver, Canada.,Department of Neurology, King Fahad medical city, Riyadh, Saudi Arabia (G.A.-M.).,Department of Psychology, York University, Toronto, Canada (K.M.G.).,Department of Psychology, Simon Fraser University, Burnaby, Canada (A.E.T.).,BC Provincial Neuropsychiatry program, Vancouver, Canada (W.J.P.).,BC Mental Health and Substance Use Services Research Institute, Vancouver, Canada (W.J.P., M.W., W.G.H.)
| | - William G Honer
- Division of Neurology (L.W.Z., A.A.J., T.S.F.), University of British Columbia (UBC), Vancouver, Canada.,Department of Psychiatry (W.J.P., M.W., W.S., G.W.M., W.G.H.), University of British Columbia (UBC), Vancouver, Canada.,Department of Radiology (M.K.S.H., A.T.V., D.J.L.), University of British Columbia (UBC), Vancouver, Canada.,Department of Paediatrics (A.R.), University of British Columbia (UBC), Vancouver, Canada.,Department of Anesthesia, Pharmacology & Therapeutics (A.M.B.), University of British Columbia (UBC), Vancouver, Canada.,Department of Neurology, King Fahad medical city, Riyadh, Saudi Arabia (G.A.-M.).,Department of Psychology, York University, Toronto, Canada (K.M.G.).,Department of Psychology, Simon Fraser University, Burnaby, Canada (A.E.T.).,BC Provincial Neuropsychiatry program, Vancouver, Canada (W.J.P.).,BC Mental Health and Substance Use Services Research Institute, Vancouver, Canada (W.J.P., M.W., W.G.H.)
| | - Thalia S Field
- Division of Neurology (L.W.Z., A.A.J., T.S.F.), University of British Columbia (UBC), Vancouver, Canada.,Department of Psychiatry (W.J.P., M.W., W.S., G.W.M., W.G.H.), University of British Columbia (UBC), Vancouver, Canada.,Department of Radiology (M.K.S.H., A.T.V., D.J.L.), University of British Columbia (UBC), Vancouver, Canada.,Department of Paediatrics (A.R.), University of British Columbia (UBC), Vancouver, Canada.,Department of Anesthesia, Pharmacology & Therapeutics (A.M.B.), University of British Columbia (UBC), Vancouver, Canada.,Department of Neurology, King Fahad medical city, Riyadh, Saudi Arabia (G.A.-M.).,Department of Psychology, York University, Toronto, Canada (K.M.G.).,Department of Psychology, Simon Fraser University, Burnaby, Canada (A.E.T.).,BC Provincial Neuropsychiatry program, Vancouver, Canada (W.J.P.).,BC Mental Health and Substance Use Services Research Institute, Vancouver, Canada (W.J.P., M.W., W.G.H.)
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9
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Joutel A. Prospects for Diminishing the Impact of Nonamyloid Small-Vessel Diseases of the Brain. Annu Rev Pharmacol Toxicol 2020; 60:437-456. [PMID: 31425001 DOI: 10.1146/annurev-pharmtox-010818-021712] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Small-vessel diseases (SVDs) of the brain are involved in about one-fourth of ischemic strokes and a vast majority of intracerebral hemorrhages and are responsible for nearly half of dementia cases in the elderly. SVDs are a heavy burden for society, a burden that is expected to increase further in the absence of significant therapeutic advances, given the aging population. Here, we provide a critical appraisal of currently available therapeutic approaches for nonamyloid sporadic SVDs that are largely based on targeting modifiable risk factors. We review what is known about the pathogenic mechanisms of vascular risk factor-related SVDs and cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL), the most frequent hereditary SVD, and elaborate on two mechanism-based therapeutic approaches worth exploring in sporadic SVD and CADASIL. We conclude by discussing opportunities and challenges that need to be tackled if efforts to achieve significant therapeutic advances for these diseases are to be successful.
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Affiliation(s)
- Anne Joutel
- Institute of Psychiatry and Neurosciences of Paris, INSERM UMR1266, Paris Descartes University, 75014 Paris, France; .,DHU NeuroVasc, Sorbonne Paris Cité, 75010 Paris, France.,Department of Pharmacology, College of Medicine, University of Vermont, Burlington, Vermont 05405, USA
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10
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Yilmaz P, Ikram MK, Niessen WJ, Ikram MA, Vernooij MW. Practical Small Vessel Disease Score Relates to Stroke, Dementia, and Death. Stroke 2019; 49:2857-2865. [PMID: 30571403 DOI: 10.1161/strokeaha.118.022485] [Citation(s) in RCA: 46] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Background and Purpose- In the general population, we investigated the association of a recently developed cerebral small vessel disease (CSVD) sum score with stroke, dementia, and mortality. Methods- One thousand six hundred fifty-one stroke-free and nondemented participants (mean age, 73.3 years; 54.5% women) of the population-based Rotterdam Study underwent brain magnetic resonance imaging (1.5T) in 2005-2011 and were followed for stroke, dementia, and mortality until 2016-2017. The CSVD sum score was composed by counting the presence of 4 magnetic resonance imaging markers (white matter hyperintensities, lacunes, cerebral microbleeds, and perivascular spaces; range, 0-4). We determined the association of the CSVD score with risk of stroke, dementia, and mortality using Cox models, adjusting for age, sex, and other Framingham Stroke Risk Profile predictors. Additionally, we assessed mortality as a competing risk for stroke and dementia and calculated absolute risk estimates for all outcomes. Results- During a mean follow-up of 7.2 years, 66 participants developed stroke, 76 developed dementia, and 306 died. The Framingham Stroke Risk Profile-adjusted hazard ratios of 1 point higher sum score were 1.54 (95% CI, 1.16-2.03) for stroke, 1.25 (95% CI, 0.95-1.64) for dementia, and 1.15 (95% CI, 1.01-1.31) for mortality. No significant differences were seen for subdistribution hazard ratios for stroke and dementia. A higher CSVD score yielded higher absolute risk estimates for all outcomes, calculated during 10 years. Conclusions- The CSVD score is a practical measure of global vascular brain injury. A higher sum score on magnetic resonance imaging is associated with higher risk of suffering a stroke, developing dementia, and death.
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Affiliation(s)
- Pinar Yilmaz
- From the Department of Epidemiology (P.Y., M.K.I., M.A.I., M.W.V.), Erasmus Medical Center, Rotterdam, the Netherlands.,Department of Radiology and Nuclear Medicine (P.Y., W.J.N., M.W.V.), Erasmus Medical Center, Rotterdam, the Netherlands
| | - M Kamran Ikram
- From the Department of Epidemiology (P.Y., M.K.I., M.A.I., M.W.V.), Erasmus Medical Center, Rotterdam, the Netherlands.,Department of Neurology (M.K.I.), Erasmus Medical Center, Rotterdam, the Netherlands
| | - Wiro J Niessen
- Department of Radiology and Nuclear Medicine (P.Y., W.J.N., M.W.V.), Erasmus Medical Center, Rotterdam, the Netherlands.,Department of Medical Informatics (W.J.N.), Erasmus Medical Center, Rotterdam, the Netherlands
| | - M Arfan Ikram
- From the Department of Epidemiology (P.Y., M.K.I., M.A.I., M.W.V.), Erasmus Medical Center, Rotterdam, the Netherlands
| | - Meike W Vernooij
- From the Department of Epidemiology (P.Y., M.K.I., M.A.I., M.W.V.), Erasmus Medical Center, Rotterdam, the Netherlands.,Department of Radiology and Nuclear Medicine (P.Y., W.J.N., M.W.V.), Erasmus Medical Center, Rotterdam, the Netherlands
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11
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Taylor AM, Pattie A, Deary IJ. Cohort Profile Update: The Lothian Birth Cohorts of 1921 and 1936. Int J Epidemiol 2019; 47:1042-1042r. [PMID: 29546429 PMCID: PMC6124629 DOI: 10.1093/ije/dyy022] [Citation(s) in RCA: 132] [Impact Index Per Article: 26.4] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/29/2018] [Indexed: 01/02/2023] Open
Affiliation(s)
- Adele M Taylor
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Alison Pattie
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Ian J Deary
- Department of Psychology, University of Edinburgh, Edinburgh, UK.,Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
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12
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Brown R, Benveniste H, Black SE, Charpak S, Dichgans M, Joutel A, Nedergaard M, Smith KJ, Zlokovic BV, Wardlaw JM. Understanding the role of the perivascular space in cerebral small vessel disease. Cardiovasc Res 2018; 114:1462-1473. [PMID: 29726891 PMCID: PMC6455920 DOI: 10.1093/cvr/cvy113] [Citation(s) in RCA: 189] [Impact Index Per Article: 31.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2018] [Revised: 04/18/2018] [Accepted: 05/02/2018] [Indexed: 12/17/2022] Open
Abstract
Small vessel diseases (SVDs) are a group of disorders that result from pathological alteration of the small blood vessels in the brain, including the small arteries, capillaries and veins. Of the 35-36 million people that are estimated to suffer from dementia worldwide, up to 65% have an SVD component. Furthermore, SVD causes 20-25% of strokes, worsens outcome after stroke and is a leading cause of disability, cognitive impairment and poor mobility. Yet the underlying cause(s) of SVD are not fully understood. Magnetic resonance imaging has confirmed enlarged perivascular spaces (PVS) as a hallmark feature of SVD. In healthy tissue, these spaces are proposed to form part of a complex brain fluid drainage system which supports interstitial fluid exchange and may also facilitate clearance of waste products from the brain. The pathophysiological signature of PVS and what this infers about their function and interaction with cerebral microcirculation, plus subsequent downstream effects on lesion development in the brain has not been established. Here we discuss the potential of enlarged PVS to be a unique biomarker for SVD and related brain disorders with a vascular component. We propose that widening of PVS suggests presence of peri-vascular cell debris and other waste products that form part of a vicious cycle involving impaired cerebrovascular reactivity, blood-brain barrier dysfunction, perivascular inflammation and ultimately impaired clearance of waste proteins from the interstitial fluid space, leading to accumulation of toxins, hypoxia, and tissue damage. Here, we outline current knowledge, questions and hypotheses regarding understanding the brain fluid dynamics underpinning dementia and stroke through the common denominator of SVD.
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Affiliation(s)
- Rosalind Brown
- Centre for Clinical Brain Sciences, The University of Edinburgh, Chancellor's Building, Edinburgh, UK
| | - Helene Benveniste
- Department of Anesthesiology, Yale School of Medicine, New Haven, USA
| | - Sandra E Black
- LC Campbell Cognitive Neurology Research Unit, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada
- Department of Medicine (Neurology), Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada
- Hurvitz Brain Sciences Program, Sunnybrook Health Sciences Center, University of Toronto, Toronto, Canada
- Heart and Stroke Foundation Canadian Partnership for Stroke Recovery, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada
| | - Serge Charpak
- INSERM U1128, Laboratory of Neurophysiology and New Microscopies, Université Paris Descartes, Paris, France
| | - Martin Dichgans
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE, Munich), Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Anne Joutel
- Genetics and Pathogenesis of Cerebrovascular Diseases, INSERM, Université Paris Diderot-Paris 7, Paris, France
- DHU NeuroVasc, Sorbonne Paris Cité, Paris, France
| | - Maiken Nedergaard
- Section for Translational Neuroscience, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark
- Division of Glia Disease and Therapeutics, Center for Translational Neuromedicine, University of Rochester Medical School, Rochester, USA
| | - Kenneth J Smith
- Department of Neuroinflammation, UCL Institute of Neurology, London, UK
| | - Berislav V Zlokovic
- Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, USA
- Department of Physiology and Neuroscience, Keck School of Medicine, University of Southern California, Los Angeles, USA
| | - Joanna M Wardlaw
- Centre for Clinical Brain Sciences, Chancellor's Building, Edinburgh, UK
- UK Dementia Research Institute at The University of Edinburgh, Chancellor's Building, Edinburgh, UK
- Row Fogo Centre for Research into Ageing and the Brain, The University of Edinburgh, Chancellor's Building, Edinburgh, UK
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13
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Paradise MB, Shepherd CE, Wen W, Sachdev PS. Neuroimaging and neuropathology indices of cerebrovascular disease burden. Neurology 2018; 91:310-320. [DOI: 10.1212/wnl.0000000000005997] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2017] [Accepted: 05/17/2018] [Indexed: 11/15/2022] Open
Abstract
ObjectiveTo systematically review the literature on the use of both neuroimaging and neuropathologic indices of cerebrovascular disease (CVD) burden, as estimation of this burden could have multiple benefits in the diagnosis and prognosis of cognitive impairment and dementia.MethodsMEDLINE and EMBASE databases were searched (inception to June 2017) to obtain and then systematically review all pertinent neuroimaging and neuropathology studies, where an index of CVD was developed or tested.ResultsTwenty-five neuroimaging articles were obtained, which included 4 unique indices. These utilized a limited range of CVD markers from mainly structural MRI, most commonly white matter hyperintensities (WMH), cerebral microbleeds, and dilated perivascular spaces. Weighting of the constituent markers was often coarse. There were 7 unique neuropathology indices, which were heterogeneous in their regions sampled and lesions examined.ConclusionThere is increasing interest in indices of total CVD burden that incorporate multiple lesions, as traditional individual markers of CVD such as WMH only provide limited information. Neuropathologic indices are needed to validate neuroimaging findings. The studies clearly demonstrated proof of concept that information from multiple imaging measures of CVD provide more information, including a stronger association with cognitive impairment and dementia, than that provided by a single measure. There has been limited exploration of the psychometric properties of published indices and no comparison between indices. Further development of indices is recommended, including the use of data from diffusion tensor and perfusion imaging.
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14
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Loos CM, McHutchison C, Cvoro V, Makin SD, Staals J, Chappell F, Dennis MS, van Oostenbrugge RJ, Wardlaw JM. The relation between total cerebral small vessel disease burden and gait impairment in patients with minor stroke. Int J Stroke 2017; 13:518-524. [PMID: 28906203 DOI: 10.1177/1747493017730780] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Background and aims Individual MRI markers of cerebral small vessel disease are associated with gait impairment. The impact of total cerebral small vessel disease-related brain damage, expressed by a cerebral small vessel disease MRI burden score, on mobility after stroke, has not been considered, although this score gives a better representation of the overall effect of cerebral small vessel disease on the brain. We determined if the total cerebral small vessel disease burden is associated with gait impairment three years after minor stroke. Methods In total, 200 patients with minor lacunar or non-lacunar stroke (NIHSS ≤ 7) underwent a brain MRI at presentation. Presence of lacunes, white matter hyperintensities, cerebral microbleeds, and perivascular spaces were summed in a total cerebral small vessel disease MRI burden score (range 0-4). Gait disturbances, measured by timed-up-and-go test and self-reported stroke impact scale mobility domain were assessed three years after stroke. We tested associations adjusted for key variables by linear regression analysis. Results Total cerebral small vessel disease burden was not associated with gait impairment after minor stroke in all patients, nor in lacunar stroke patients ( n = 87). In non-lacunar stroke patients ( n = 113), total cerebral small vessel disease burden was associated with lower stroke impact scale mobility domain scores, independent of age, vascular risk factors, and stroke severity (unstandardized B -4.61; 95% CI -8.42; -0.79, p < 0.05). Conclusion Patients with non-lacunar stroke and a higher total cerebral small vessel disease burden have more subjective mobility impairment three years after stroke. The total cerebral small vessel disease MRI burden score is a possible marker to identify patients at risk for subjective gait impairment. These findings should be confirmed in larger studies.
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Affiliation(s)
- Caroline Mj Loos
- 1 Department of Neurology and Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Centre (MUMC+), University Maastricht, the Netherlands
| | - Caroline McHutchison
- 2 Brain Research Imaging Centre, Neuroimaging Sciences, Centre for Clinical Brain Sciences (CCBS), The University of Edinburgh, Edinburgh, UK
| | - Vera Cvoro
- 2 Brain Research Imaging Centre, Neuroimaging Sciences, Centre for Clinical Brain Sciences (CCBS), The University of Edinburgh, Edinburgh, UK
| | - Stephen Dj Makin
- 2 Brain Research Imaging Centre, Neuroimaging Sciences, Centre for Clinical Brain Sciences (CCBS), The University of Edinburgh, Edinburgh, UK
| | - Julie Staals
- 1 Department of Neurology and Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Centre (MUMC+), University Maastricht, the Netherlands
| | - Francesca Chappell
- 2 Brain Research Imaging Centre, Neuroimaging Sciences, Centre for Clinical Brain Sciences (CCBS), The University of Edinburgh, Edinburgh, UK.,3 Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, UK.,4 UK Dementia Research Institute at The University of Edinburgh, Edinburgh, UK
| | - Martin S Dennis
- 2 Brain Research Imaging Centre, Neuroimaging Sciences, Centre for Clinical Brain Sciences (CCBS), The University of Edinburgh, Edinburgh, UK
| | - Robert J van Oostenbrugge
- 1 Department of Neurology and Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Centre (MUMC+), University Maastricht, the Netherlands
| | - Joanna M Wardlaw
- 2 Brain Research Imaging Centre, Neuroimaging Sciences, Centre for Clinical Brain Sciences (CCBS), The University of Edinburgh, Edinburgh, UK.,3 Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, UK.,4 UK Dementia Research Institute at The University of Edinburgh, Edinburgh, UK
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15
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Blair GW, Hernandez MV, Thrippleton MJ, Doubal FN, Wardlaw JM. Advanced Neuroimaging of Cerebral Small Vessel Disease. CURRENT TREATMENT OPTIONS IN CARDIOVASCULAR MEDICINE 2017. [PMID: 28620783 PMCID: PMC5486578 DOI: 10.1007/s11936-017-0555-1] [Citation(s) in RCA: 45] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
Cerebral small vessel disease (SVD) is characterised by damage to deep grey and white matter structures of the brain and is responsible for a diverse range of clinical problems that include stroke and dementia. In this review, we describe advances in neuroimaging published since January 2015, mainly with magnetic resonance imaging (MRI), that, in general, are improving quantification, observation and investigation of SVD focussing on three areas: quantifying the total SVD burden, imaging brain microstructural integrity and imaging vascular malfunction. Methods to capture ‘whole brain SVD burden’ across the spectrum of SVD imaging changes will be useful for patient stratification in clinical trials, an approach that we are already testing. More sophisticated imaging measures of SVD microstructural damage are allowing the disease to be studied at earlier stages, will help identify specific factors that are important in development of overt SVD imaging features and in understanding why specific clinical consequences may occur. Imaging vascular function will help establish the precise blood vessel and blood flow alterations at early disease stages and, together with microstructural integrity measures, may provide important surrogate endpoints in clinical trials testing new interventions. Better knowledge of SVD pathophysiology will help identify new treatment targets, improve patient stratification and may in future increase efficiency of clinical trials through smaller sample sizes or shorter follow-up periods. However, most of these methods are not yet sufficiently mature to use with confidence in clinical trials, although rapid advances in the field suggest that reliable quantification of SVD lesion burden, tissue microstructural integrity and vascular dysfunction are imminent.
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Affiliation(s)
- Gordon W Blair
- Brain Research Imaging Centres, Centre for Clinical Brain Sciences, University of Edinburgh, 49 Little France Crescent, Chancellor's Building, Edinburgh, EH16 4SB, UK
| | - Maria Valdez Hernandez
- Brain Research Imaging Centres, Centre for Clinical Brain Sciences, University of Edinburgh, 49 Little France Crescent, Chancellor's Building, Edinburgh, EH16 4SB, UK
| | - Michael J Thrippleton
- Brain Research Imaging Centres, Centre for Clinical Brain Sciences, University of Edinburgh, 49 Little France Crescent, Chancellor's Building, Edinburgh, EH16 4SB, UK
| | - Fergus N Doubal
- Brain Research Imaging Centres, Centre for Clinical Brain Sciences, University of Edinburgh, 49 Little France Crescent, Chancellor's Building, Edinburgh, EH16 4SB, UK
| | - Joanna M Wardlaw
- Brain Research Imaging Centres, Centre for Clinical Brain Sciences, University of Edinburgh, 49 Little France Crescent, Chancellor's Building, Edinburgh, EH16 4SB, UK.
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16
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Valdés Hernández MDC, Cox SR, Kim J, Royle NA, Muñoz Maniega S, Gow AJ, Anblagan D, Bastin ME, Park J, Starr JM, Wardlaw JM, Deary IJ. Hippocampal morphology and cognitive functions in community-dwelling older people: the Lothian Birth Cohort 1936. Neurobiol Aging 2016; 52:1-11. [PMID: 28104542 PMCID: PMC5364373 DOI: 10.1016/j.neurobiolaging.2016.12.012] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2016] [Revised: 11/18/2016] [Accepted: 12/13/2016] [Indexed: 01/18/2023]
Abstract
Structural measures of the hippocampus have been linked to a variety of memory processes and also to broader cognitive abilities. Gross volumetry has been widely used, yet the hippocampus has a complex formation, comprising distinct subfields which may be differentially sensitive to the deleterious effects of age, and to different aspects of cognitive performance. However, a comprehensive analysis of multidomain cognitive associations with hippocampal deformations among a large group of cognitively normal older adults is currently lacking. In 654 participants of the Lothian Birth Cohort 1936 (mean age = 72.5, SD = 0.71 years), we examined associations between the morphology of the hippocampus and a variety of memory tests (spatial span, letter-number sequencing, verbal recall, and digit backwards), as well as broader cognitive domains (latent measures of speed, fluid intelligence, and memory). Following correction for age, sex, and vascular risk factors, analysis of memory subtests revealed that only right hippocampal associations in relation to spatial memory survived type 1 error correction in subiculum and in CA1 at the head (β = 0.201, p = 5.843 × 10-4, outward), and in the ventral tail section of CA1 (β = -0.272, p = 1.347 × 10-5, inward). With respect to latent measures of cognitive domains, only deformations associated with processing speed survived type 1 error correction in bilateral subiculum (βabsolute ≤ 0.247, p < 1.369 × 10-4, outward), bilaterally in the ventral tail section of CA1 (βabsolute ≤ 0.242, p < 3.451 × 10-6, inward), and a cluster at the left anterior-to-dorsal region of the head (β = 0.199, p = 5.220 × 10-6, outward). Overall, our results indicate that a complex pattern of both inward and outward hippocampal deformations are associated with better processing speed and spatial memory in older age, suggesting that complex shape-based hippocampal analyses may provide valuable information beyond gross volumetry.
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Affiliation(s)
- Maria Del Carmen Valdés Hernández
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Department of Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK; Scottish Imaging Network, a Platform for Scientific Excellence (SINAPSE) Collaboration, Edinburgh, UK
| | - Simon R Cox
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Scottish Imaging Network, a Platform for Scientific Excellence (SINAPSE) Collaboration, Edinburgh, UK; Department of Psychology, University of Edinburgh, Edinburgh, UK.
| | - Jaeil Kim
- School of Computing, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea
| | - Natalie A Royle
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Department of Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK; Scottish Imaging Network, a Platform for Scientific Excellence (SINAPSE) Collaboration, Edinburgh, UK
| | - Susana Muñoz Maniega
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Department of Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK; Scottish Imaging Network, a Platform for Scientific Excellence (SINAPSE) Collaboration, Edinburgh, UK
| | - Alan J Gow
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Department of Psychology, Heriot-Watt University, Edinburgh, UK
| | - Devasuda Anblagan
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Department of Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK; Scottish Imaging Network, a Platform for Scientific Excellence (SINAPSE) Collaboration, Edinburgh, UK
| | - Mark E Bastin
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Scottish Imaging Network, a Platform for Scientific Excellence (SINAPSE) Collaboration, Edinburgh, UK; Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Jinah Park
- School of Computing, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea
| | - John M Starr
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - Joanna M Wardlaw
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Scottish Imaging Network, a Platform for Scientific Excellence (SINAPSE) Collaboration, Edinburgh, UK; Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Ian J Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Department of Psychology, University of Edinburgh, Edinburgh, UK
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