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Li B, Zeng B, Zeng P, Luo D, Yin F, Dong X, Peng Y, Xiang Y, Nie L, Li Y. Hippocampal-subfield macro- and microstructural changes in cerebral small vessel disease with mild cognitive impairment. J Affect Disord 2025; 384:12-22. [PMID: 40339711 DOI: 10.1016/j.jad.2025.05.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/27/2024] [Revised: 04/30/2025] [Accepted: 05/04/2025] [Indexed: 05/10/2025]
Abstract
BACKGROUND Hippocampal subregions demonstrate a selective vulnerability to vascular injury, with pathological processes extensively affecting both microstructural and macrostructural characteristics. This phenomenon elucidates the intricate relationship between hippocampal dysfunction, cognitive deficits, and depressive symptoms. The present study investigated microstructural and volumetric changes in hippocampal subregions among patients with cerebral small vessel disease (CSVD), and their correlation with cognitive function. METHOD A comprehensive neuroimaging and neuropsychological assessment was conducted on 169 participants, categorized into CSVD with mild cognitive impairment (MCI), CSVD without cognitive impairment (NCI), and healthy controls. An advanced multi-compartment diffusion (NODDI) model was employed to analyze hippocampal subregional characteristics. RESULTS Our findings revealed extensive hippocampal atrophy and microstructural abnormalities in CSVD patients, with the most pronounced changes observed in the cornu ammonis (CA) and dentate gyrus (DG) regions. Notably, orientation dispersion index (ODI) and free water fraction (FISO) demonstrated significant inter-group differences and exhibited broad correlations with cognitive performance. Notably, FISO metrics demonstrated more pronounced differences during early cognitive decline stages compared to volumetric analyses. LIMITATION The study lacked a dementia cohort, which could have provided deeper insights into progressive hippocampal pathological changes. CONCLUSION The hippocampus plays a critical role in cognitive decline associated with small vessel disease. NODDI can provide pathological correlation information across different cognitive stages, offering a new perspective for early identification of pathological changes related to cognitive impairment in cerebral small vessel disease.
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Affiliation(s)
- Binglan Li
- Department of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Bang Zeng
- Department of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Peng Zeng
- Department of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Dan Luo
- Department of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Feiyue Yin
- Department of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Xiaojuan Dong
- Department of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Yuling Peng
- Department of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Yayun Xiang
- Department of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Lisha Nie
- GE HealthCare MR Research, Beijing 100076, China
| | - Yongmei Li
- Department of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.
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Won J, Tarumi T, Tomoto T, Shan K, Rodrigue KM, Kennedy KM, Park DC, Zhang R. Associations of cardiorespiratory fitness with brain white matter microstructural integrity and white matter hyperintensity volume across the adult lifespan. GeroScience 2025:10.1007/s11357-025-01664-z. [PMID: 40299260 DOI: 10.1007/s11357-025-01664-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2024] [Accepted: 04/13/2025] [Indexed: 04/30/2025] Open
Abstract
Higher cardiorespiratory fitness (CRF) is associated with less deterioration in brain microstructural white matter (WM) integrity in older adults assessed with MRI diffusion tensor imaging (DTI) and brain WM hyperintensities (WMH) volume measured with fluid-attenuated-inversion-recovery (FLAIR) imaging. This study investigated associations of CRF measured with peak oxygen consumption (V̇O2peak) with brain WM microstructural integrity and WMH in healthy individuals across the adult lifespan. We hypothesized that higher CRF is associated with less deterioration in WM microstructural integrity and WMH across the adult lifespan, which in turn is associated with better cognitive performance. A total of 177 healthy adults underwent treadmill exercise testing to measure V̇O2peak, MRI scan to measure free water (FW)-corrected DTI metrics and whole-brain WMH volume, and a comprehensive cognitive test battery. Linear regression models were used to examine the associations of DTI metrics and WMH volume with age, V̇O2peak, and age × V̇O2peak interaction. Higher CRF was associated with lower FW. Age × V̇O2peak interactions were observed in FW of the corpus callosum (CC) and WMH volume, such that the positive regression slopes of FW and WMH volume with age were lower in those with higher V̇O2peak than those with lower V̇O2peak. Lower WMH volume and FW in the CC were associated with better fluid cognition composite score. In conclusion, higher CRF is associated with less deteriorations in brain WM integrity and better cognitive function across the adult lifespan. These findings highlight the importance of maintaining and improving CRF to slow brain aging.
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Affiliation(s)
- Junyeon Won
- Institute for Exercise and Environmental Medicine, Texas Health Presbyterian Hospital, 7232 Greenville Ave, Dallas, TX, 75231, USA
- Department of Neurology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Takashi Tarumi
- Institute for Exercise and Environmental Medicine, Texas Health Presbyterian Hospital, 7232 Greenville Ave, Dallas, TX, 75231, USA
- Department of Neurology, University of Texas Southwestern Medical Center, Dallas, TX, USA
- Human Informatics and Interaction Research Institute, National Institute of Advanced Industrial Science and Technology, Tsukuba, Ibaraki, Japan
| | - Tsubasa Tomoto
- Institute for Exercise and Environmental Medicine, Texas Health Presbyterian Hospital, 7232 Greenville Ave, Dallas, TX, 75231, USA
- Department of Neurology, University of Texas Southwestern Medical Center, Dallas, TX, USA
- Human Informatics and Interaction Research Institute, National Institute of Advanced Industrial Science and Technology, Tsukuba, Ibaraki, Japan
| | - Kevin Shan
- Institute for Exercise and Environmental Medicine, Texas Health Presbyterian Hospital, 7232 Greenville Ave, Dallas, TX, 75231, USA
- Department of Neurology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Karen M Rodrigue
- Center for Vital Longevity, School of Behavioral and Brain Sciences, The University of Texas at Dallas, Dallas, TX, USA
| | - Kristen M Kennedy
- Center for Vital Longevity, School of Behavioral and Brain Sciences, The University of Texas at Dallas, Dallas, TX, USA
| | - Denise C Park
- Center for Vital Longevity, School of Behavioral and Brain Sciences, The University of Texas at Dallas, Dallas, TX, USA
| | - Rong Zhang
- Institute for Exercise and Environmental Medicine, Texas Health Presbyterian Hospital, 7232 Greenville Ave, Dallas, TX, 75231, USA.
- Department of Neurology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA.
- Department of Biomedical Engineering, University of Texas Southwestern Medical Center, Dallas, TX, USA.
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Bauer CE, Zachariou V, Pappas C, Maillard P, DeCarli C, Caprihan A, Gold BT. Healthy dietary intake diminishes the effect of cerebral small vessel disease on cognitive performance in older adults. Front Neurol 2025; 16:1508148. [PMID: 40115382 PMCID: PMC11925079 DOI: 10.3389/fneur.2025.1508148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2024] [Accepted: 02/10/2025] [Indexed: 03/23/2025] Open
Abstract
Introduction We evaluated whether regular dietary intake of nutrients commonly found in fish, unsaturated oils, and nuts would moderate the associations between neuroimaging biomarkers of cerebral small vessel disease (cSVD) and cognitive function in older adults. Methods Dietary information, Montreal Cognitive Assessment (MoCA) scores, and magnetic resonance imaging (MRI) scans were collected from 71 older adults without dementia (60-86 years). MRI biomarkers of cSVD were calculated for each participant. Multivariate linear regression models were computed using dietary intake as the moderating variable. Covariates included age, sex, and estimated intracranial volume. Results Dietary intake moderated the association between several cSVD biomarkers and MoCA scores such that the expected negative association between cSVD biomarkers and cognition was seen at low levels of healthy dietary intake, but not at medium or high levels. A dietary intake by age moderation was not observed. Discussion Our findings indicate that healthy dietary intake may confer cognitive reserve against cSVD in older adults.
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Affiliation(s)
- Christopher E Bauer
- Departments of Neuroscience, University of Kentucky, Lexington, KY, United States
| | | | - Colleen Pappas
- Departments of Neuroscience, University of Kentucky, Lexington, KY, United States
| | - Pauline Maillard
- Departments of Neurology, University of California, Davis, Davis, CA, United States
- Center for Neurosciences, University of California, Davis, Davis, CA, United States
| | - Charles DeCarli
- Departments of Neurology, University of California, Davis, Davis, CA, United States
- Center for Neurosciences, University of California, Davis, Davis, CA, United States
| | | | - Brian T Gold
- Departments of Neuroscience, University of Kentucky, Lexington, KY, United States
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, United States
- Magnetic Resonance Imaging and Spectroscopy Center, University of Kentucky, Lexington, KY, United States
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Xu Y, Wei H, Du R, Wang R, Zhu Y, Zhao T, Zhu X, Li Y. Hippocampal vascularization pattern and cerebral blood flow cooperatively modulate hippocampal tolerable amount of Aβ deposition in the occurrence of MCI. Fluids Barriers CNS 2025; 22:22. [PMID: 39994752 PMCID: PMC11854383 DOI: 10.1186/s12987-025-00635-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2024] [Accepted: 02/17/2025] [Indexed: 02/26/2025] Open
Abstract
BACKGROUND Aβ deposition in the brain does not necessarily lead to cognitive impairment, and that blood supply may have other unexplained regulatory effects on Aβ. Therefore, there appears to be a more complex relationship between blood supply, Aβ deposition, and cognitive impairment that warrants further exploration. METHODS This cohort study collected four longitudinal follow-up datasets, including a total of 281 subjects, followed for four years. Three-dimensional time-of-flight angiography and pseudo-continuous arterial spin labeling were used to assess hippocampal vascularization pattern (VP) and hippocampal cerebral blood flow (CBF). 11 C-Pittsburgh compound B (PiB)-PET/CT-based spatial measurements were used detect hippocampal PiB uptake as a reflection of hippocampal Aβ deposition. We explored the relationships between hippocampal blood supply (VP and CBF), hippocampal PiB uptake, and the occurrence of mild cognitive impairment (MCI) using a generalized nonlinear model. RESULTS We demonstrated the synergistic effect of hippocampal VP and CBF on predicting the occurrence of MCI. We conducted confirmation and quantification of the relationship between hippocampal blood supply and hippocampal PiB uptake. Additionally, the predicted value of PiB uptake based on hippocampal blood supply not only exhibited strong predictive efficacy for the occurrence of MCI (AUC = 0.831, p < 0.001), but was also validated in cerebral small vessel disease cohorts (AUC = 0.792, p < 0.001) and well validated in an independent cohort (Kappa = 0.741, p < 0.001). CONCLUSIONS Overall, we reveal that hippocampal blood supply at baseline can regulate hippocampal PiB uptake, which reflects hippocampal tolerable amount of Aβ deposition and serves as an effective predictor for the occurrence of MCI, providing an important extension on the relationship between hippocampal blood supply and Aβ deposition.
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Affiliation(s)
- Yuhao Xu
- Department of Radiology, Affiliated People's Hospital of Jiangsu University, Zhenjiang, 212001, China
- Department of Neuroimaging Laboratory, School of Medicine, Jiangsu University, Zhenjiang, Jiangsu, 212013, China
- Department of Neurology, Affiliated Hospital of Jiangsu University, Zhenjiang, 212001, China
| | - Hong Wei
- Department of Neuroimaging Laboratory, School of Medicine, Jiangsu University, Zhenjiang, Jiangsu, 212013, China
- Department of Neurology, The Fourth Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, 212001, China
- Central Laboratory of the Fourth Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, 212001, China
| | - Rui Du
- Department of Neuroimaging Laboratory, School of Medicine, Jiangsu University, Zhenjiang, Jiangsu, 212013, China
| | - Ranchao Wang
- Department of Neuroimaging Laboratory, School of Medicine, Jiangsu University, Zhenjiang, Jiangsu, 212013, China
| | - Yan Zhu
- Department of Neuroimaging Laboratory, School of Medicine, Jiangsu University, Zhenjiang, Jiangsu, 212013, China
- Department of Radiology, Affiliated Hospital of Jiangsu University, Zhenjiang, 212001, China
| | - Tian Zhao
- Department of Neuroimaging Laboratory, School of Medicine, Jiangsu University, Zhenjiang, Jiangsu, 212013, China
- Department of Radiology, Affiliated Hospital of Jiangsu University, Zhenjiang, 212001, China
| | - Xiaolan Zhu
- Central Laboratory of the Fourth Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, 212001, China.
- Reproductive Center, The Fourth Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, 212001, China.
| | - Yuefeng Li
- Department of Radiology, Affiliated People's Hospital of Jiangsu University, Zhenjiang, 212001, China.
- Department of Neuroimaging Laboratory, School of Medicine, Jiangsu University, Zhenjiang, Jiangsu, 212013, China.
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Ungvari A, Gulej R, Patai R, Papp Z, Toth A, Szabó AÁ, Podesser BK, Sótonyi P, Benyó Z, Yabluchanskiy A, Tarantini S, Maier AB, Csiszar A, Ungvari Z. Sex-specific mechanisms in vascular aging: exploring cellular and molecular pathways in the pathogenesis of age-related cardiovascular and cerebrovascular diseases. GeroScience 2025; 47:301-337. [PMID: 39754010 PMCID: PMC11872871 DOI: 10.1007/s11357-024-01489-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2024] [Accepted: 12/17/2024] [Indexed: 03/04/2025] Open
Abstract
Aging remains the foremost risk factor for cardiovascular and cerebrovascular diseases, surpassing traditional factors in epidemiological significance. This review elucidates the cellular and molecular mechanisms underlying vascular aging, with an emphasis on sex differences that influence disease progression and clinical outcomes in older adults. We discuss the convergence of aging processes at the macro- and microvascular levels and their contributions to the pathogenesis of vascular diseases. Critical analysis of both preclinical and clinical studies reveals significant sex-specific variations in these mechanisms, which could be pivotal in understanding the disparity in disease morbidity and mortality between sexes. The review highlights key molecular pathways, including oxidative stress, inflammation, and autophagy, and their differential roles in the vascular aging of males and females. We argue that recognizing these sex-specific differences is crucial for developing targeted therapeutic strategies aimed at preventing and managing age-related vascular pathologies. The implications for personalized medicine and potential areas for future research are also explored, emphasizing the need for a nuanced approach to the study and treatment of vascular aging.
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Affiliation(s)
- Anna Ungvari
- Institute of Preventive Medicine and Public Health, Semmelweis University, Budapest, Hungary.
| | - Rafal Gulej
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Roland Patai
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Zoltan Papp
- Division of Clinical Physiology, Department of Cardiology, Faculty of Medicine, University of Debrecen, Debrecen, 4032, Hungary
- Research Centre for Molecular Medicine, University of Debrecen, Debrecen, 4032, Hungary
| | - Attila Toth
- Division of Clinical Physiology, Department of Cardiology, Faculty of Medicine, University of Debrecen, Debrecen, 4032, Hungary
- Research Centre for Molecular Medicine, University of Debrecen, Debrecen, 4032, Hungary
| | - Attila Á Szabó
- Division of Clinical Physiology, Department of Cardiology, Faculty of Medicine, University of Debrecen, Debrecen, 4032, Hungary
- Research Centre for Molecular Medicine, University of Debrecen, Debrecen, 4032, Hungary
| | - Bruno K Podesser
- Ludwig Boltzmann Institute for Cardiovascular Research at the Center for Biomedical Research and Translational Surgery, Medical University of Vienna, Vienna, Austria
| | - Péter Sótonyi
- Department of Vascular and Endovascular Surgery, Heart and Vascular Centre, Semmelweis University, 1122, Budapest, Hungary
| | - Zoltán Benyó
- Institute of Translational Medicine, Semmelweis University, 1094, Budapest, Hungary
- Cerebrovascular and Neurocognitive Disorders Research Group, HUN-REN , Semmelweis University, 1094, Budapest, Hungary
| | - Andriy Yabluchanskiy
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Doctoral College/Institute of Preventive Medicine and Public Health, International Training Program in Geroscience, Semmelweis University, Budapest, Hungary
- Stephenson Cancer Center, University of Oklahoma, Oklahoma City, OK, USA
- Oklahoma Center for Geroscience and Healthy Brain Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Department of Health Promotion Sciences, College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Department of Health and Exercise Science, University of Oklahoma, Norman, OK, USA
- Reynolds Section of Geriatrics and Palliative Medicine, Department of Medicine, University of Oklahoma Health Sciences, Oklahoma City, OK, USA
| | - Stefano Tarantini
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Doctoral College/Institute of Preventive Medicine and Public Health, International Training Program in Geroscience, Semmelweis University, Budapest, Hungary
- Stephenson Cancer Center, University of Oklahoma, Oklahoma City, OK, USA
- Oklahoma Center for Geroscience and Healthy Brain Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Department of Health Promotion Sciences, College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Andrea B Maier
- Department of Medicine and Aged Care, @AgeMelbourne, The Royal Melbourne Hospital, The University of Melbourne, Parkville, VIC, Australia
- Department of Human Movement Sciences, @AgeAmsterdam, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, Amsterdam, the Netherlands
- Centre for Healthy Longevity, @AgeSingapore, National University Health System, Singapore, Singapore
- @AgeSingapore, Healthy Longevity Program, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore, Singapore
| | - Anna Csiszar
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Stephenson Cancer Center, University of Oklahoma, Oklahoma City, OK, USA
- Oklahoma Center for Geroscience and Healthy Brain Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Department of Health Promotion Sciences, College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Zoltan Ungvari
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Doctoral College/Institute of Preventive Medicine and Public Health, International Training Program in Geroscience, Semmelweis University, Budapest, Hungary
- Stephenson Cancer Center, University of Oklahoma, Oklahoma City, OK, USA
- Oklahoma Center for Geroscience and Healthy Brain Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Department of Health Promotion Sciences, College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
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Nyúl-Tóth Á, Patai R, Csiszar A, Ungvari A, Gulej R, Mukli P, Yabluchanskiy A, Benyo Z, Sotonyi P, Prodan CI, Liotta EM, Toth P, Elahi F, Barsi P, Maurovich-Horvat P, Sorond FA, Tarantini S, Ungvari Z. Linking peripheral atherosclerosis to blood-brain barrier disruption: elucidating its role as a manifestation of cerebral small vessel disease in vascular cognitive impairment. GeroScience 2024; 46:6511-6536. [PMID: 38831182 PMCID: PMC11494622 DOI: 10.1007/s11357-024-01194-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2024] [Accepted: 05/06/2024] [Indexed: 06/05/2024] Open
Abstract
Aging plays a pivotal role in the pathogenesis of cerebral small vessel disease (CSVD), contributing to the onset and progression of vascular cognitive impairment and dementia (VCID). In older adults, CSVD often leads to significant pathological outcomes, including blood-brain barrier (BBB) disruption, which in turn triggers neuroinflammation and white matter damage. This damage is frequently observed as white matter hyperintensities (WMHs) in neuroimaging studies. There is mounting evidence that older adults with atherosclerotic vascular diseases, such as peripheral artery disease, ischemic heart disease, and carotid artery stenosis, face a heightened risk of developing CSVD and VCID. This review explores the complex relationship between peripheral atherosclerosis, the pathogenesis of CSVD, and BBB disruption. It explores the continuum of vascular aging, emphasizing the shared pathomechanisms that underlie atherosclerosis in large arteries and BBB disruption in the cerebral microcirculation, exacerbating both CSVD and VCID. By reviewing current evidence, this paper discusses the impact of endothelial dysfunction, cellular senescence, inflammation, and oxidative stress on vascular and neurovascular health. This review aims to enhance understanding of these complex interactions and advocate for integrated approaches to manage vascular health, thereby mitigating the risk and progression of CSVD and VCID.
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Affiliation(s)
- Ádám Nyúl-Tóth
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Oklahoma Center for Geroscience and Healthy Brain Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Department of Public Health, Semmelweis University, Semmelweis University, Budapest, Hungary
| | - Roland Patai
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Anna Csiszar
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Oklahoma Center for Geroscience and Healthy Brain Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Stephenson Cancer Center, University of Oklahoma, Oklahoma City, OK, USA
| | - Anna Ungvari
- Department of Public Health, Semmelweis University, Semmelweis University, Budapest, Hungary.
| | - Rafal Gulej
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Peter Mukli
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Oklahoma Center for Geroscience and Healthy Brain Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Department of Public Health, Semmelweis University, Semmelweis University, Budapest, Hungary
| | - Andriy Yabluchanskiy
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Oklahoma Center for Geroscience and Healthy Brain Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Stephenson Cancer Center, University of Oklahoma, Oklahoma City, OK, USA
- Department of Health Promotion Sciences, College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Doctoral College/Department of Public Health, International Training Program in Geroscience, Semmelweis University, Budapest, Hungary
| | - Zoltan Benyo
- Institute of Translational Medicine, Semmelweis University, 1094, Budapest, Hungary
- Cerebrovascular and Neurocognitive Disorders Research Group, HUN-REN, Semmelweis University, 1094, Budapest, Hungary
| | - Peter Sotonyi
- Department of Vascular and Endovascular Surgery, Heart and Vascular Centre, Semmelweis University, 1122, Budapest, Hungary
| | - Calin I Prodan
- Veterans Affairs Medical Center, Oklahoma City, OK, USA
- Department of Neurology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Eric M Liotta
- Doctoral College/Department of Public Health, International Training Program in Geroscience, Semmelweis University, Budapest, Hungary
- Department of Neurology, Division of Stroke and Neurocritical Care, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Peter Toth
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Department of Public Health, Semmelweis University, Semmelweis University, Budapest, Hungary
- Department of Neurosurgery, Medical School, University of Pecs, Pecs, Hungary
- Neurotrauma Research Group, Szentagothai Research Centre, University of Pecs, Pecs, Hungary
- ELKH-PTE Clinical Neuroscience MR Research Group, University of Pecs, Pecs, Hungary
| | - Fanny Elahi
- Departments of Neurology and Neuroscience Ronald M. Loeb Center for Alzheimer's Disease Friedman Brain Institute Icahn School of Medicine at Mount Sinai, New York, NY, USA
- James J. Peters VA Medical Center, Bronx, NY, USA
| | - Péter Barsi
- ELKH-SE Cardiovascular Imaging Research Group, Department of Radiology, Medical Imaging Centre, Semmelweis University, Budapest, Hungary
| | - Pál Maurovich-Horvat
- ELKH-SE Cardiovascular Imaging Research Group, Department of Radiology, Medical Imaging Centre, Semmelweis University, Budapest, Hungary
| | - Farzaneh A Sorond
- Department of Neurology, Division of Stroke and Neurocritical Care, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Stefano Tarantini
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Oklahoma Center for Geroscience and Healthy Brain Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Stephenson Cancer Center, University of Oklahoma, Oklahoma City, OK, USA
- Department of Health Promotion Sciences, College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Doctoral College/Department of Public Health, International Training Program in Geroscience, Semmelweis University, Budapest, Hungary
| | - Zoltan Ungvari
- Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Oklahoma Center for Geroscience and Healthy Brain Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Stephenson Cancer Center, University of Oklahoma, Oklahoma City, OK, USA
- Department of Health Promotion Sciences, College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Doctoral College/Department of Public Health, International Training Program in Geroscience, Semmelweis University, Budapest, Hungary
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7
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Zeng S, Ma L, Mao H, Shi Y, Xu M, Gao Q, Kaidong C, Li M, Ding Y, Ji Y, Hu X, Feng W, Fang X. Dynamic functional network connectivity in patients with a mismatch between white matter hyperintensity and cognitive function. Front Aging Neurosci 2024; 16:1418173. [PMID: 39086757 PMCID: PMC11288916 DOI: 10.3389/fnagi.2024.1418173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Accepted: 07/03/2024] [Indexed: 08/02/2024] Open
Abstract
Objective White matter hyperintensity (WMH) in patients with cerebral small vessel disease (CSVD) is strongly associated with cognitive impairment. However, the severity of WMH does not coincide fully with cognitive impairment. This study aims to explore the differences in the dynamic functional network connectivity (dFNC) of WMH with cognitively matched and mismatched patients, to better understand the underlying mechanisms from a quantitative perspective. Methods The resting-state functional magnetic resonance imaging (rs-fMRI) and cognitive function scale assessment of the patients were acquired. Preprocessing of the rs-fMRI data was performed, and this was followed by dFNC analysis to obtain the dFNC metrics. Compared the dFNC and dFNC metrics within different states between mismatch and match group, we analyzed the correlation between dFNC metrics and cognitive function. Finally, to analyze the reasons for the differences between the mismatch and match groups, the CSVD imaging features of each patient were quantified with the assistance of the uAI Discover system. Results The 149 CSVD patients included 20 cases of "Type I mismatch," 51 cases of Type I match, 38 cases of "Type II mismatch," and 40 cases of "Type II match." Using dFNC analysis, we found that the fraction time (FT) and mean dwell time (MDT) of State 2 differed significantly between "Type I match" and "Type I mismatch"; the FT of States 1 and 4 differed significantly between "Type II match" and "Type II mismatch." Correlation analysis revealed that dFNC metrics in CSVD patients correlated with executive function and information processing speed among the various cognitive functions. Through quantitative analysis, we found that the number of perivascular spaces and bilateral medial temporal lobe atrophy (MTA) scores differed significantly between "Type I match" and "Type I mismatch," while the left MTA score differed between "Type II match" and "Type II mismatch." Conclusion Different mechanisms were implicated in these two types of mismatch: Type I affected higher-order networks, and may be related to the number of perivascular spaces and brain atrophy, whereas Type II affected the primary networks, and may be related to brain atrophy and the years of education.
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Affiliation(s)
- Siyuan Zeng
- Medical Imaging Center, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi Medical Center, Nanjing Medical University, Wuxi People’s Hospital, Wuxi, China
| | - Lin Ma
- Medical Imaging Center, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi Medical Center, Nanjing Medical University, Wuxi People’s Hospital, Wuxi, China
| | - Haixia Mao
- Medical Imaging Center, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi Medical Center, Nanjing Medical University, Wuxi People’s Hospital, Wuxi, China
| | - Yachen Shi
- Department of Neurology, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi Medical Center, Nanjing Medical University, Wuxi People’s Hospital, Wuxi, China
| | - Min Xu
- Medical Imaging Center, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi Medical Center, Nanjing Medical University, Wuxi People’s Hospital, Wuxi, China
| | - Qianqian Gao
- Medical Imaging Center, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi Medical Center, Nanjing Medical University, Wuxi People’s Hospital, Wuxi, China
| | - Chen Kaidong
- Medical Imaging Center, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi Medical Center, Nanjing Medical University, Wuxi People’s Hospital, Wuxi, China
| | - Mingyu Li
- Medical Imaging Center, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi Medical Center, Nanjing Medical University, Wuxi People’s Hospital, Wuxi, China
| | - Yuxiao Ding
- Medical Imaging Center, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi Medical Center, Nanjing Medical University, Wuxi People’s Hospital, Wuxi, China
| | - Yi Ji
- Medical Imaging Center, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi Medical Center, Nanjing Medical University, Wuxi People’s Hospital, Wuxi, China
| | - Xiaoyun Hu
- Medical Imaging Center, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi Medical Center, Nanjing Medical University, Wuxi People’s Hospital, Wuxi, China
| | - Wang Feng
- Department of Neurology, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi Medical Center, Nanjing Medical University, Wuxi People’s Hospital, Wuxi, China
| | - Xiangming Fang
- Medical Imaging Center, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi Medical Center, Nanjing Medical University, Wuxi People’s Hospital, Wuxi, China
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8
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Wei W, Ma D, Gu L, Li Y, Zhang L, Li L, Zhang L. Epimedium flavonoids improve cerebral white matter lesions by inhibiting neuroinflammation and activating neurotrophic factor signal pathways in spontaneously hypertensive rats. Int Immunopharmacol 2024; 139:112683. [PMID: 39018691 DOI: 10.1016/j.intimp.2024.112683] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2024] [Revised: 07/06/2024] [Accepted: 07/11/2024] [Indexed: 07/19/2024]
Abstract
Cerebral small vessel disease (CSVD) is one of the most common nervous system diseases. Hypertension and neuroinflammation are considered important risk factors for the development of CSVD and white matter (WM) lesions. We used the spontaneously hypertensive rat (SHR) as a model of early-onset CSVD and administered epimedium flavonoids (EF) for three months. The learning and memorization abilities were tested by new object recognition test. The pathological changes of WM were assessed using magnetic resonance imaging, transmission electron microscopy (TEM), Luxol fast blue and Black Gold staining. Oligodendrocytes (OLs) and myelin basic protein were detected by immunohistochemistry. The ultrastructure of the tight junctions was examined using TEM. Microglia and astrocytes were detected by immunofluorescence. RNA-seq was performed on the corpus callosum of rats. The results revealed that EF could significantly improve the learning and memory impairments in SHR, alleviate the injury and demyelination of WM nerve fibers, promote the differentiation of oligodendrocyte precursor cells (OPCs) into mature OLs, inhibit the activation of microglia and astrocytes, inhibit the expression of p38 MAPK/NF-κB p65/NLRP3 and inflammatory cytokines, and increase the expression of tight-junction related proteins ZO-1, occludin, and claudin-5. RNA-seq analysis showed that the neurotrophin signaling pathway played an important role in the disease. RT-qPCR and WB results showed that EF could regulate the expression of nerve growth factor and brain-derived neurotrophic factor and their downstream related proteins in the neurotrophin signaling pathway, which might explain the potential mechanism of EF's effects on the cognitive impairment and WM damage caused by hypertension.
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Affiliation(s)
- Weipeng Wei
- Department of Pharmacy, Xuanwu Hospital of Capital Medical University, Beijing, China; Beijing Geriatric Medical Research Center, Beijing Engineering Research Center for Nervous System Drugs, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Denglei Ma
- Department of Pharmacy, Xuanwu Hospital of Capital Medical University, Beijing, China; Beijing Geriatric Medical Research Center, Beijing Engineering Research Center for Nervous System Drugs, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Beijing, China.
| | - Lihong Gu
- Department of Pharmacy, Xuanwu Hospital of Capital Medical University, Beijing, China; Department of Pharmacy, Wuxi TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Wuxi, China
| | - Yali Li
- Department of Pharmacy, Xuanwu Hospital of Capital Medical University, Beijing, China; Beijing Geriatric Medical Research Center, Beijing Engineering Research Center for Nervous System Drugs, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Li Zhang
- Department of Pharmacy, Xuanwu Hospital of Capital Medical University, Beijing, China; Beijing Geriatric Medical Research Center, Beijing Engineering Research Center for Nervous System Drugs, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Lin Li
- Department of Pharmacy, Xuanwu Hospital of Capital Medical University, Beijing, China; Beijing Geriatric Medical Research Center, Beijing Engineering Research Center for Nervous System Drugs, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Lan Zhang
- Department of Pharmacy, Xuanwu Hospital of Capital Medical University, Beijing, China; Beijing Geriatric Medical Research Center, Beijing Engineering Research Center for Nervous System Drugs, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Beijing, China.
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9
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Qiu T, Hong H, Zeng Q, Xu X, Wang Y, Zhu L, Zhang L, Li K, Dai S, Li X, Xie F, Zhang Y, Luo X. Effect of cerebral small vessel disease on the integrity of cholinergic system in mild cognitive impairment patients: a longitudinal study. J Neurol 2024; 271:2704-2715. [PMID: 38381177 PMCID: PMC11055699 DOI: 10.1007/s00415-024-12218-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 01/22/2024] [Accepted: 01/22/2024] [Indexed: 02/22/2024]
Abstract
We aimed to investigate the effect of cerebral small vessel disease (SVD) on cholinergic system integrity in mild cognitive impairment (MCI) patients. Nucleus basalis of Meynert (NBM) volume and cholinergic pathways integrity was evaluated at baseline, 1-, 2-, and 4-year follow-ups in 40 cognitively unimpaired (CU) participants, 29 MCI patients without SVD, and 23 MCI patients with SVD. We compared cholinergic markers among three groups and examined their associations with SVD burden in MCI patients. We used linear mixed models to assess longitudinal changes in cholinergic markers over time among groups. Mediation analysis was employed to investigate the mediating role of cholinergic system degeneration between SVD and cognitive impairment. Increased mean diffusivity (MD) in medial and lateral pathways was observed in MCI patients with SVD compared to those without SVD and CU participants. Both MCI groups showed decreased NBM volume compared to CU participants, while there was no significant difference between the two MCI groups. Longitudinally, compared to CU participants, MCI patients with SVD displayed a more rapid change in MD in both pathways, but not in NBM volume. Furthermore, SVD burden was associated with cholinergic pathway disruption and its faster rate of change in MCI patients. However, mediation analyses showed that cholinergic pathways did not mediate significant indirect effects of SVD burden on cognitive impairment. Our findings suggest that SVD could accelerate the degeneration of cholinergic pathways in MCI patients. However, they do not provide evidence to support that SVD could contribute to cognitive impairment through cholinergic system injury.
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Affiliation(s)
- Tiantian Qiu
- Department of Radiology, Linyi People's Hospital, Linyi, China
| | - Hui Hong
- Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Qingze Zeng
- Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Xiaopei Xu
- Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Yanyan Wang
- Laboratory Medicine Center, Linyi People's Hospital, Linyi, China
| | - Lixin Zhu
- Department of Radiology, Linyi People's Hospital, Linyi, China
| | - Lige Zhang
- Department of Radiology, Linyi People's Hospital, Linyi, China
| | - Kaicheng Li
- Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Shouping Dai
- Department of Radiology, Linyi People's Hospital, Linyi, China
| | - Xiaodong Li
- Department of Radiology, Linyi People's Hospital, Linyi, China
| | - Fei Xie
- Department of Equipment and Medical Engineering, Linyi People's Hospital, Linyi, China
| | - Yusong Zhang
- Department of Radiology, Linyi People's Hospital, Linyi, China
| | - Xiao Luo
- Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
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10
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Cui L, Hong H, Wang S, Zeng Q, Jiaerken Y, Yu X, Zhang R, Zhang Y, Xie L, Lin M, Liu L, Luo X, Li K, Liu X, Li J, Huang P, Zhang M. Small vessel disease and cognitive reserve oppositely modulate global network redundancy and cognitive function: A study in middle-to-old aged community participants. Hum Brain Mapp 2024; 45:e26634. [PMID: 38553856 PMCID: PMC10980841 DOI: 10.1002/hbm.26634] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2023] [Revised: 01/05/2024] [Accepted: 02/08/2024] [Indexed: 04/02/2024] Open
Abstract
Cerebral small vessel disease (SVD) can disrupt the global brain network and lead to cognitive impairment. Conversely, cognitive reserve (CR) can improve one's cognitive ability to handle damaging effects like SVD, partly by optimizing the brain network's organization. Understanding how SVD and CR collectively influence brain networks could be instrumental in preventing cognitive impairment. Recently, brain redundancy has emerged as a critical network protective metric, providing a nuanced perspective of changes in network organization. However, it remains unclear how SVD and CR affect global redundancy and subsequently cognitive function. Here, we included 121 community-dwelling participants who underwent neuropsychological assessments and a multimodal MRI examination. We visually examined common SVD imaging markers and assessed lifespan CR using the Cognitive Reserve Index Questionnaire. We quantified the global redundancy index (RI) based on the dynamic functional connectome. We then conducted multiple linear regressions to explore the specific cognitive domains related to RI and the associations of RI with SVD and CR. We also conducted mediation analyses to explore whether RI mediated the relationships between SVD, CR, and cognition. We found negative correlations of RI with the presence of microbleeds (MBs) and the SVD total score, and a positive correlation of RI with leisure activity-related CR (CRI-leisure). RI was positively correlated with memory and fully mediated the relationships between the MBs, CRI-leisure, and memory. Our study highlights the potential benefits of promoting leisure activities and keeping brain redundancy for memory preservation in older adults, especially those with SVD.
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Affiliation(s)
- Lei Cui
- Department of RadiologyThe Second Affiliated Hospital of Zhejiang University, School of MedicineHangzhouChina
| | - Hui Hong
- Department of RadiologyThe Second Affiliated Hospital of Zhejiang University, School of MedicineHangzhouChina
| | - Shuyue Wang
- Department of RadiologyThe Second Affiliated Hospital of Zhejiang University, School of MedicineHangzhouChina
| | - Qingze Zeng
- Department of RadiologyThe Second Affiliated Hospital of Zhejiang University, School of MedicineHangzhouChina
| | - Yeerfan Jiaerken
- Department of RadiologyThe Second Affiliated Hospital of Zhejiang University, School of MedicineHangzhouChina
| | - Xinfeng Yu
- Department of RadiologyThe Second Affiliated Hospital of Zhejiang University, School of MedicineHangzhouChina
| | - Ruiting Zhang
- Department of RadiologyThe Second Affiliated Hospital of Zhejiang University, School of MedicineHangzhouChina
| | - Yao Zhang
- Department of RadiologyThe Second Affiliated Hospital of Zhejiang University, School of MedicineHangzhouChina
| | - Linyun Xie
- Department of RadiologyThe Second Affiliated Hospital of Zhejiang University, School of MedicineHangzhouChina
| | - Miao Lin
- Department of RadiologyThe Second Affiliated Hospital of Zhejiang University, School of MedicineHangzhouChina
| | - Lingyun Liu
- Department of RadiologyThe Second Affiliated Hospital of Zhejiang University, School of MedicineHangzhouChina
| | - Xiao Luo
- Department of RadiologyThe Second Affiliated Hospital of Zhejiang University, School of MedicineHangzhouChina
| | - Kaicheng Li
- Department of RadiologyThe Second Affiliated Hospital of Zhejiang University, School of MedicineHangzhouChina
| | - Xiaocao Liu
- Department of RadiologyThe Second Affiliated Hospital of Zhejiang University, School of MedicineHangzhouChina
| | - Jixuan Li
- Department of RadiologyThe Second Affiliated Hospital of Zhejiang University, School of MedicineHangzhouChina
| | - Peiyu Huang
- Department of RadiologyThe Second Affiliated Hospital of Zhejiang University, School of MedicineHangzhouChina
| | - Minming Zhang
- Department of RadiologyThe Second Affiliated Hospital of Zhejiang University, School of MedicineHangzhouChina
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Schweitzer N, Son SJ, Aizenstein H, Yang S, Iordanova B, Hong CH, Rho HW, Cho YH, Park B, Kim NR, Choi JW, Cheong JY, Seo SW, An YS, Moon SY, Han SJ, Wu M. Higher HbA1c Is Associated With Greater 2-Year Progression of White Matter Hyperintensities. Diabetes 2024; 73:604-610. [PMID: 38211578 PMCID: PMC10958578 DOI: 10.2337/db23-0303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 01/03/2024] [Indexed: 01/13/2024]
Abstract
White matter hyperintensity (WMH) lesions on brain MRI images are surrogate markers of cerebral small vessel disease. Longitudinal studies examining the association between diabetes and WMH progression have yielded mixed results. Thus, in this study, we investigated the association between HbA1c, a biomarker for the presence and severity of hyperglycemia, and longitudinal WMH change after adjusting for known risk factors for WMH progression. We recruited 64 participants from South Korean memory clinics to undergo brain MRI at the baseline and a 2-year follow-up. We found the following. First, higher HbA1c was associated with greater global WMH volume (WMHV) changes after adjusting for known risk factors (β = 7.7 × 10-4; P = 0.025). Second, the association between baseline WMHV and WMHV progression was only significant at diabetic levels of HbA1c (P < 0.05, when HbA1c >6.51%), and non-apolipoprotein E (APOE) ε4 carriers had a stronger association between HbA1c and WMHV progression (β = -2.59 × 10-3; P = 0.004). Third, associations of WMHV progression with HbA1c were particularly apparent for deep WMHV change (β = 7.17 × 10-4; P < 0.01) compared with periventricular WMHV change and, for frontal (β = 5.00 × 10-4; P < 0.001) and parietal (β = 1.53 × 10-4; P < 0.05) lobes, WMHV change compared with occipital and temporal WMHV change. In conclusion, higher HbA1c levels were associated with greater 2-year WMHV progression, especially in non-APOE ε4 participants or those with diabetic levels of HbA1c. These findings demonstrate that diabetes may potentially exacerbate cerebrovascular and white matter disease. ARTICLE HIGHLIGHTS
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Affiliation(s)
- Noah Schweitzer
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA
| | - Sang Joon Son
- Department of Psychiatry, Ajou University School of Medicine, Suwon, Republic of Korea
| | - Howard Aizenstein
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Shaolin Yang
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Bistra Iordanova
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA
| | - Chang Hyung Hong
- Department of Psychiatry, Ajou University School of Medicine, Suwon, Republic of Korea
| | - Hyun Woong Rho
- Department of Psychiatry, Ajou University School of Medicine, Suwon, Republic of Korea
| | - Yong Hyuk Cho
- Department of Psychiatry, Ajou University School of Medicine, Suwon, Republic of Korea
| | - Bumhee Park
- Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Republic of Korea
- Office of Biostatistics, Medical Research Collaborating Centre, Ajou Research Institute for Innovative Medicine, Ajou University Medical Centre, Suwon, Republic of Korea
| | - Na-Rae Kim
- Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Republic of Korea
| | - Jin Wook Choi
- Department of Radiology, Ajou University School of Medicine, Suwon, Republic of Korea
| | - Jae Youn Cheong
- Department of Gastroenterology, Ajou University School of Medicine, Suwon, Republic of Korea
- Human Genome Research and Bio-Resource Centre, Ajou University Medical Centre, Suwon, Republic of Korea
| | - Sang Woon Seo
- Department of Neurology, Samsung Medical Centre, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Young-Sil An
- Department of Nuclear Medicine and Molecular Imaging, Ajou University School of Medicine, Suwon, Republic of Korea
| | - So Young Moon
- Department of Neurology, Ajou University School of Medicine, Suwon, Republic of Korea
| | - Seung Jin Han
- Department of Endocrinology and Metabolism, Ajou University School of Medicine, Suwon, Republic of Korea
| | - Minjie Wu
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA
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12
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Fan D, Zhao H, Liu H, Niu H, Liu T, Wang Y. Abnormal brain activities of cognitive processes in cerebral small vessel disease: A systematic review of task fMRI studies. J Neuroradiol 2024; 51:155-167. [PMID: 37844660 DOI: 10.1016/j.neurad.2023.10.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Revised: 10/13/2023] [Accepted: 10/13/2023] [Indexed: 10/18/2023]
Abstract
Cerebral small vessel disease (CSVD) is characterized by widespread functional changes in the brain, as evident from abnormal brain activations during cognitive tasks. However, the existing findings in this area are not yet conclusive. We systematically reviewed 25 studies reporting task-related fMRI in five cognitive domains in CSVD, namely executive function, working memory, processing speed, motor, and affective processing. The findings highlighted: (1) CSVD affects cognitive processes in a domain-specific manner; (2) Compensatory and regulatory effects were observed simultaneously in CSVD, which may reflect the interplay between the negative impact of brain lesion and the positive impact of cognitive reserve. Combined with behavioral and functional findings in CSVD, we proposed an integrated model to illustrate the relationship between altered activations and behavioral performance in different stages of CSVD: functional brain changes may precede and be more sensitive than behavioral impairments in the early pre-symptomatic stage; Meanwhile, compensatory and regulatory mechanisms often occur in the early stages of the disease, while dysfunction/decompensation and dysregulation often occur in the late stages. Overall, abnormal hyper-/hypo-activations are crucial for understanding the mechanisms of small vessel lesion-induced behavioral dysfunction, identifying potential neuromarker and developing interventions to mitigate the impact of CSVD on cognitive function.
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Affiliation(s)
- Dongqiong Fan
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Haichao Zhao
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China; Faculty of Psychology, MOE Key Laboratory of Cognition and Personality, Southwest University, Chongqing, China
| | - Hao Liu
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Haijun Niu
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Tao Liu
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China.
| | - Yilong Wang
- Department of Neurology, Beijing TianTan Hospital, Capital Medical University, Beijing, China; Chinese Institute for Brain Research, Beijing, China; National Center for Neurological Disorders, Beijing, China.
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13
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Backhouse EV, Boardman JP, Wardlaw JM. Cerebral Small Vessel Disease: Early-Life Antecedents and Long-Term Implications for the Brain, Aging, Stroke, and Dementia. Hypertension 2024; 81:54-74. [PMID: 37732415 PMCID: PMC10734792 DOI: 10.1161/hypertensionaha.122.19940] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/22/2023]
Abstract
Cerebral small vessel disease is common in older adults and increases the risk of stroke, cognitive impairment, and dementia. While often attributed to midlife vascular risk factors such as hypertension, factors from earlier in life may contribute to later small vessel disease risk. In this review, we summarize current evidence for early-life effects on small vessel disease, stroke and dementia focusing on prenatal nutrition, and cognitive ability, education, and socioeconomic status in childhood. We discuss possible reasons for these associations, including differences in brain resilience and reserve, access to cognitive, social, and economic resources, and health behaviors, and we consider the extent to which these associations are independent of vascular risk factors. Although early-life factors, particularly education, are major risk factors for Alzheimer disease, they are less established in small vessel disease or vascular cognitive impairment. We discuss current knowledge, gaps in knowledge, targets for future research, clinical practice, and policy change.
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Affiliation(s)
- Ellen V. Backhouse
- Centre for Clinical Brain Sciences (E.V.B., J.P.B., J.M.W.), University of Edinburgh, Scotland, United Kingdom
- MRC UK Dementia Research Institute (E.V.B., J.M.W.), University of Edinburgh, Scotland, United Kingdom
| | - James P. Boardman
- Centre for Clinical Brain Sciences (E.V.B., J.P.B., J.M.W.), University of Edinburgh, Scotland, United Kingdom
- MRC Centre for Reproductive Health (J.P.B.), University of Edinburgh, Scotland, United Kingdom
| | - Joanna M. Wardlaw
- Centre for Clinical Brain Sciences (E.V.B., J.P.B., J.M.W.), University of Edinburgh, Scotland, United Kingdom
- MRC UK Dementia Research Institute (E.V.B., J.M.W.), University of Edinburgh, Scotland, United Kingdom
- Edinburgh Imaging (J.M.W.), University of Edinburgh, Scotland, United Kingdom
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14
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Backhouse EV, Bauermeister S, Wardlaw JM. Lifetime influences on imaging markers of adverse brain health and vascular disease. CEREBRAL CIRCULATION - COGNITION AND BEHAVIOR 2023; 6:100194. [PMID: 38292018 PMCID: PMC10827485 DOI: 10.1016/j.cccb.2023.100194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 11/13/2023] [Accepted: 12/11/2023] [Indexed: 02/01/2024]
Abstract
Cerebral small vessel disease (cSVD) is highly prevalent in the general population, increases with age and vascular risk factor exposure, and is a common cause of stroke and dementia. There is great variation in cSVD burden experienced in older age, and maintaining brain health across the life course requires looking beyond an individual's current clinical status and traditional vascular risk factors. Of particular importance are social determinants of health which can be more important than healthcare or lifestyle choices in influencing later life health outcomes, including brain health. In this paper we discuss the social determinants of cerebrovascular disease, focusing on the impact of socioeconomic status on markers of cSVD. We outline the potential mechanisms behind these associations, including early life exposures, health behaviours and brain reserve and maintenance, and we highlight the importance of public health interventions to address the key determinants and risk factors for cSVD from early life stages.
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Affiliation(s)
- Ellen V Backhouse
- Centre for Clinical Brain Sciences, University of Edinburgh, Chancellor's Building, 49 Little France Crescent, Edinburgh EH16 4SB, UK
- MRC UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK
| | - Sarah Bauermeister
- Department of Psychiatry, University of Oxford, Oxford OX3 7JX, UK
- MRC UK Dementia Research Institute, University of Oxford, Oxford OX3 7JX, UK
| | - Joanna M Wardlaw
- Centre for Clinical Brain Sciences, University of Edinburgh, Chancellor's Building, 49 Little France Crescent, Edinburgh EH16 4SB, UK
- MRC UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK
- Edinburgh Imaging, University of Edinburgh, Edinburgh, UK
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15
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Panigrahy A, Schmithorst V, Ceschin R, Lee V, Beluk N, Wallace J, Wheaton O, Chenevert T, Qiu D, Lee JN, Nencka A, Gagoski B, Berman JI, Yuan W, Macgowan C, Coatsworth J, Fleysher L, Cannistraci C, Sleeper LA, Hoskoppal A, Silversides C, Radhakrishnan R, Markham L, Rhodes JF, Dugan LM, Brown N, Ermis P, Fuller S, Cotts TB, Rodriguez FH, Lindsay I, Beers S, Aizenstein H, Bellinger DC, Newburger JW, Umfleet LG, Cohen S, Zaidi A, Gurvitz M. Design and Harmonization Approach for the Multi-Institutional Neurocognitive Discovery Study (MINDS) of Adult Congenital Heart Disease (ACHD) Neuroimaging Ancillary Study: A Technical Note. J Cardiovasc Dev Dis 2023; 10:381. [PMID: 37754810 PMCID: PMC10532244 DOI: 10.3390/jcdd10090381] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 08/29/2023] [Accepted: 08/31/2023] [Indexed: 09/28/2023] Open
Abstract
Dramatic advances in the management of congenital heart disease (CHD) have improved survival to adulthood from less than 10% in the 1960s to over 90% in the current era, such that adult CHD (ACHD) patients now outnumber their pediatric counterparts. ACHD patients demonstrate domain-specific neurocognitive deficits associated with reduced quality of life that include deficits in educational attainment and social interaction. Our hypothesis is that ACHD patients exhibit vascular brain injury and structural/physiological brain alterations that are predictive of specific neurocognitive deficits modified by behavioral and environmental enrichment proxies of cognitive reserve (e.g., level of education and lifestyle/social habits). This technical note describes an ancillary study to the National Heart, Lung, and Blood Institute (NHLBI)-funded Pediatric Heart Network (PHN) "Multi-Institutional Neurocognitive Discovery Study (MINDS) in Adult Congenital Heart Disease (ACHD)". Leveraging clinical, neuropsychological, and biospecimen data from the parent study, our study will provide structural-physiological correlates of neurocognitive outcomes, representing the first multi-center neuroimaging initiative to be performed in ACHD patients. Limitations of the study include recruitment challenges inherent to an ancillary study, implantable cardiac devices, and harmonization of neuroimaging biomarkers. Results from this research will help shape the care of ACHD patients and further our understanding of the interplay between brain injury and cognitive reserve.
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Affiliation(s)
- Ashok Panigrahy
- Department of Radiology, UPMC Children’s Hospital of Pittsburgh, 4401 Penn Ave. Floor 2, Pittsburgh, PA 15224, USA; (V.S.); (R.C.); (V.L.); (N.B.); (J.W.); (A.H.)
- Department of Pediatric Radiology, Children’s Hospital of Pittsburgh of UPMC, 45th Str., Penn Ave., Pittsburgh, PA 15201, USA
| | - Vanessa Schmithorst
- Department of Radiology, UPMC Children’s Hospital of Pittsburgh, 4401 Penn Ave. Floor 2, Pittsburgh, PA 15224, USA; (V.S.); (R.C.); (V.L.); (N.B.); (J.W.); (A.H.)
| | - Rafael Ceschin
- Department of Radiology, UPMC Children’s Hospital of Pittsburgh, 4401 Penn Ave. Floor 2, Pittsburgh, PA 15224, USA; (V.S.); (R.C.); (V.L.); (N.B.); (J.W.); (A.H.)
| | - Vince Lee
- Department of Radiology, UPMC Children’s Hospital of Pittsburgh, 4401 Penn Ave. Floor 2, Pittsburgh, PA 15224, USA; (V.S.); (R.C.); (V.L.); (N.B.); (J.W.); (A.H.)
| | - Nancy Beluk
- Department of Radiology, UPMC Children’s Hospital of Pittsburgh, 4401 Penn Ave. Floor 2, Pittsburgh, PA 15224, USA; (V.S.); (R.C.); (V.L.); (N.B.); (J.W.); (A.H.)
| | - Julia Wallace
- Department of Radiology, UPMC Children’s Hospital of Pittsburgh, 4401 Penn Ave. Floor 2, Pittsburgh, PA 15224, USA; (V.S.); (R.C.); (V.L.); (N.B.); (J.W.); (A.H.)
| | - Olivia Wheaton
- HealthCore Inc., 480 Pleasant Str., Watertown, MA 02472, USA;
| | - Thomas Chenevert
- Department of Radiology, Michigan Medicine University of Michigan, 1500 E Medical Center Dr., Ann Arbor, MI 48109, USA;
- Congenital Heart Center, C. S. Mott Children’s Hospital, 1540 E Hospital Dr., Ann Arbor, MI 48109, USA
| | - Deqiang Qiu
- Department of Radiology and Imaging Sciences, Emory School of Medicine, 1364 Clifton Rd., Atlanta, GA 30322, USA;
| | - James N Lee
- Department of Radiology, The University of Utah, 50 2030 E, Salt Lake City, UT 84112, USA;
| | - Andrew Nencka
- Department of Radiology, Medical College of Wisconsin, 9200 W Wisconsin Ave., Milwaukee, WI 53226, USA;
| | - Borjan Gagoski
- Department of Radiology, Boston Children’s Hospital, 300 Longwood Ave., Boston, MA 02115, USA;
| | - Jeffrey I. Berman
- Department of Radiology, Children’s Hospital of Philadelphia, 3401 Civic Center Blvd., Philadelphia, PA 19104, USA;
| | - Weihong Yuan
- Department of Radiology, Cincinnati Children’s Hospital Medical Center, 3333 Burnet Ave., Cincinnati, OH 45229, USA;
- Department of Radiology, University of Cincinnati College of Medicine, 3230 Eden Ave., Cincinnati, OH 45267, USA
| | - Christopher Macgowan
- Department of Medical Biophysics, University of Toronto, 101 College Str. Suite 15-701, Toronto, ON M5G 1L7, Canada;
- The Hospital for Sick Children Division of Translational Medicine, 555 University Ave., Toronto, ON M5G 1X8, Canada
| | - James Coatsworth
- Department of Radiology, Medical University of South Carolina, 171 Ashley Ave., Room 372, Charleston, SC 29425, USA;
| | - Lazar Fleysher
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, 1470 Madison Ave., New York, NY 10029, USA; (L.F.); (C.C.); (A.Z.)
| | - Christopher Cannistraci
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, 1470 Madison Ave., New York, NY 10029, USA; (L.F.); (C.C.); (A.Z.)
| | - Lynn A. Sleeper
- Department of Cardiology, Boston Children’s Hospital, 300 Longwood Ave., Boston, MA 02115, USA; (L.A.S.); (J.W.N.); (M.G.)
| | - Arvind Hoskoppal
- Department of Radiology, UPMC Children’s Hospital of Pittsburgh, 4401 Penn Ave. Floor 2, Pittsburgh, PA 15224, USA; (V.S.); (R.C.); (V.L.); (N.B.); (J.W.); (A.H.)
| | - Candice Silversides
- Department of Cardiology, University of Toronto, C. David Naylor Building, 6 Queen’s Park Crescent West, Third Floor, Toronto, ON M5S 3H2, Canada;
| | - Rupa Radhakrishnan
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, 550 University Blvd., Indianapolis, IN 46202, USA;
| | - Larry Markham
- Department of Cardiology, University of Indiana School of Medicine, 545 Barnhill Dr., Indianapolis, IN 46202, USA;
| | - John F. Rhodes
- Department of Cardiology, Medical University of South Carolina, 96 Jonathan Lucas Str. Ste. 601, MSC 617, Charleston, SC 29425, USA;
| | - Lauryn M. Dugan
- Department of Cardiology, Cincinnati Children’s Hospital Medical Center, 3333 Burnet Ave., Cincinnati, OH 45229, USA; (L.M.D.); (N.B.)
| | - Nicole Brown
- Department of Cardiology, Cincinnati Children’s Hospital Medical Center, 3333 Burnet Ave., Cincinnati, OH 45229, USA; (L.M.D.); (N.B.)
| | - Peter Ermis
- Department of Radiology, Texas Children’s Hospital, Houston, TX 77030, USA; (P.E.); (S.F.)
| | - Stephanie Fuller
- Department of Radiology, Texas Children’s Hospital, Houston, TX 77030, USA; (P.E.); (S.F.)
| | - Timothy Brett Cotts
- Departments of Internal Medicine and Pediatrics, Michigan Medicine University of Michigan, 1500 E Medical Center Dr., Ann Arbor, MI 48109, USA;
| | - Fred Henry Rodriguez
- Department of Cardiology, Emory School of Medicine, 100 Woodruff Circle, Atlanta, GA 30322, USA;
| | - Ian Lindsay
- Department of Cardiology, The University of Utah, 95 S 2000 E, Salt Lake City, UT 84112, USA;
| | - Sue Beers
- Department of Psychiatry, University of Pittsburgh School of Medicine, 3811 O’Hara Str., Pittsburgh, PA 15213, USA; (S.B.); (H.A.)
| | - Howard Aizenstein
- Department of Psychiatry, University of Pittsburgh School of Medicine, 3811 O’Hara Str., Pittsburgh, PA 15213, USA; (S.B.); (H.A.)
| | - David C. Bellinger
- Cardiac Neurodevelopmental Program, Boston Children’s Hospital, 300 Longwood Ave., Boston, MA 02115, USA;
| | - Jane W. Newburger
- Department of Cardiology, Boston Children’s Hospital, 300 Longwood Ave., Boston, MA 02115, USA; (L.A.S.); (J.W.N.); (M.G.)
| | - Laura Glass Umfleet
- Department of Neuropsychology, Medical College of Wisconsin, 9200 W Wisconsin Ave., Milwaukee, WI 53226, USA;
| | - Scott Cohen
- Heart and Vascular Center, Medical College of Wisconsin, 8701 Watertown Plank Rd., Milwaukee, WI 53226, USA;
| | - Ali Zaidi
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, 1470 Madison Ave., New York, NY 10029, USA; (L.F.); (C.C.); (A.Z.)
| | - Michelle Gurvitz
- Department of Cardiology, Boston Children’s Hospital, 300 Longwood Ave., Boston, MA 02115, USA; (L.A.S.); (J.W.N.); (M.G.)
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Iluț S, Vesa ŞC, Văcăraș V, Brăiță L, Dăscălescu VC, Fantu I, Mureșanu DF. Biological Risk Factors Influencing Vascular Cognitive Impairments: A Review of the Evidence. Brain Sci 2023; 13:1094. [PMID: 37509024 PMCID: PMC10377134 DOI: 10.3390/brainsci13071094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 07/16/2023] [Accepted: 07/17/2023] [Indexed: 07/30/2023] Open
Abstract
Vascular cognitive impairment encompasses several types of deficits, ranging from mild cognitive impairment to dementia. Cognitive reserve refers to the brain's ability to balance damage and improve performance through certain types of brain networks. The purpose of this review was to assess the relationship between reserve in vascular impairment, specifically looking at whether cognitive impairment is influenced by cognitive reserve, identifying significant vascular risk factors and their pathological pathways. To achieve this purpose, a review covering these issues was conducted within the Embase, Cochrane, and PubMed database. A total of 657 scientific articles were found, and 33 papers were considered for the final analysis. We concluded that there is no consensus on the protective effects of brain reserve on cognitive impairment. Stroke and diabetes can be considered significant risk factors for vascular cognitive impairment, while hypertension is not as damaging as blood pressure variability, which structurally alters the brain through a variety of mechanisms.
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Affiliation(s)
- Silvina Iluț
- Department of Neurosciences, “Iuliu Haţieganu” University of Medicine and Pharmacy, 8 Victor Babeş Street, 400012 Cluj-Napoca, Romania; (S.I.); (V.V.); (L.B.); (V.-C.D.); (I.F.); (D.-F.M.)
- Clinical Rehabilitation Hospital, 46-50 Viilor Street, 400347 Cluj-Napoca, Romania
| | - Ştefan Cristian Vesa
- Department of Pharmacology, Toxicology and Clinical Pharmacology, “Iuliu Haţieganu” University of Medicine and Pharmacy, 23 Gheorghe Marinescu Street, 400337 Cluj-Napoca, Romania
| | - Vitalie Văcăraș
- Department of Neurosciences, “Iuliu Haţieganu” University of Medicine and Pharmacy, 8 Victor Babeş Street, 400012 Cluj-Napoca, Romania; (S.I.); (V.V.); (L.B.); (V.-C.D.); (I.F.); (D.-F.M.)
- Clinical Rehabilitation Hospital, 46-50 Viilor Street, 400347 Cluj-Napoca, Romania
| | - Lavinia Brăiță
- Department of Neurosciences, “Iuliu Haţieganu” University of Medicine and Pharmacy, 8 Victor Babeş Street, 400012 Cluj-Napoca, Romania; (S.I.); (V.V.); (L.B.); (V.-C.D.); (I.F.); (D.-F.M.)
| | - Vlad-Constantin Dăscălescu
- Department of Neurosciences, “Iuliu Haţieganu” University of Medicine and Pharmacy, 8 Victor Babeş Street, 400012 Cluj-Napoca, Romania; (S.I.); (V.V.); (L.B.); (V.-C.D.); (I.F.); (D.-F.M.)
| | - Ioana Fantu
- Department of Neurosciences, “Iuliu Haţieganu” University of Medicine and Pharmacy, 8 Victor Babeş Street, 400012 Cluj-Napoca, Romania; (S.I.); (V.V.); (L.B.); (V.-C.D.); (I.F.); (D.-F.M.)
| | - Dafin-Fior Mureșanu
- Department of Neurosciences, “Iuliu Haţieganu” University of Medicine and Pharmacy, 8 Victor Babeş Street, 400012 Cluj-Napoca, Romania; (S.I.); (V.V.); (L.B.); (V.-C.D.); (I.F.); (D.-F.M.)
- Clinical Rehabilitation Hospital, 46-50 Viilor Street, 400347 Cluj-Napoca, Romania
- RoNeuro Institute for Neurological Research and Diagnostic, 37 Mircea Eliade Street, 400364 Cluj-Napoca, Romania
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Zhang S, Hu Y, Yang H, Li Q, Chen J, Bai H. Value of white matter hyperintensity volume and total white matter volume for evaluating cognitive impairment in patients with cerebral small-vessel disease. Front Aging Neurosci 2023; 15:1096808. [PMID: 37065461 PMCID: PMC10102346 DOI: 10.3389/fnagi.2023.1096808] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2022] [Accepted: 03/21/2023] [Indexed: 04/03/2023] Open
Abstract
BackgroundWhite matter hyperintensities (WMH) are a key imaging feature of cerebral small-vessel disease (CSVD). However, there is a lack of standardized methods for determining WMH volume, and the value of total white matter (WM) volume in the assessment of cognitive impairment in patients with CSVD remains unknown.ObjectiveWe aimed to explore the correlations of WMH volume and WM volume with cognitive dysfunction and its components in patients with CSVD. We also aimed to compare the value of the Fazekas score, WMH volume, and ratio of WMH volume to total WM volume in the assessment of cognitive dysfunction.MethodsThe study included 99 patients with CSVD. Patients were categorized into following groups based on MoCA scores: patients with mild cognitive impairment and those without. Brain magnetic resonance images were processed to investigate differences in WMH and WM volumes between the groups. Logistic regression analysis was used to determine whether these two factors were independent risk factors for cognitive dysfunction. Correlation analysis was used to examine the relationships of WMH and WM volume with different types of cognitive impairment. Receiver operating characteristic curves were used to compare the effectiveness of the WMH score, WMH volume, and WMH to WM ratio for evaluating cognitive dysfunction.ResultsThere were significant differences in age, education level, WMH volume, and WM volume between the groups (P < 0.05). After adjusting for age and education, the multivariate logistic analysis indicated that both WMH volume and WM volume were independent risk factors for cognitive dysfunction. Correlation analysis indicated that WMH volume was mainly related to cognition involving the visual space and delayed recall. WM volume was not strongly associated with different types of cognitive dysfunction. The WMH to WM ratio was the strongest predictor, with an area under the curve value of 0.800 and a 95% confidence interval of 0.710–0.891.ConclusionIncreases in WMH volume may aggravate cognitive dysfunction in patients with CSVD, and a higher WM volume may reduce the effect of WMH volume on cognitive function to a certain extent. The ratio of WMH to total WM volume may reduce the impact of brain atrophy, allowing for more accurate evaluation of cognitive dysfunction in older adults with CSVD.
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Liu Y, Liu D, Liu M, Li K, Shi Q, Wang C, Pan Z, Zhou L. The microstructural abnormalities of cingulum was related to patients with mild cognitive impairment: a diffusion kurtosis imaging study. Neurol Sci 2023; 44:171-180. [PMID: 36169754 PMCID: PMC9816220 DOI: 10.1007/s10072-022-06408-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Accepted: 09/13/2022] [Indexed: 01/11/2023]
Abstract
OBJECTIVE Our study aimed to investigate the correlations between microstructural changes of cingulum and patients with mild cognitive impairment (MCI) by diffusion kurtosis imaging (DKI) technique. METHOD A total of 104 patients with cerebral small vessel diseases (cSVD) were retrospectively enrolled in this study. According to Montreal Cognitive Assessment Scale (MoCA) scores, these patients were divided into MCI group (n = 59) and non-MCI group (n = 45). The general clinical data was collected and analyzed. The regions of interests (ROIs) were selected for investigation in cingulum. The values of DKI parameters were measured in each ROI and compared between the two groups, the correlations between DKI parameters and MoCA scores were examined. RESULTS Compared to non-MCI group, MCI patients had more severe white matter hyperintensities (WMHs) (P = 0.038) and lower MoCA scores (P < 0.01). MCI patients showed significantly decreased fractional anisotropy (FA), axial kurtosis (AK), mean kurtosis (MK), radial kurtosis (RK), and kurtosis fractional anisotropy (KFA) in the left cingulum in the cingulated cortex (CgC) region (all P < 0.0125). In the left CgC region, FA, AK, MK, RK, and KFA were positively correlated with MoCA scores (r = 0.348, 0.409, 0.310, 0.441, 0.422, all P < 0.001). Meanwhile, FA, AK, MK, RK, and KFA were also positively correlated with MoCA scores (r = 0.338, 0.352, 0.289, 0.380, 0.370, all P < 0.001) in the right CgC region. CONCLUSION DKI technique could be used to explore the microstructural changes of cingulum in MCI patients and DKI-derived parameters might be feasible to evaluate MCI patients.
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Affiliation(s)
- Yueyang Liu
- Department of Neurology, Civil Aviation General Hospital, Beijing, China
| | - Dongtao Liu
- Department of Neurology, Beijing Chaoyang Hospital, Capital Medical University, No. 5, Jingyuan Road, Beijing, China
| | - Mingyong Liu
- Department of Neurology, Beijing Chaoyang Hospital, Capital Medical University, No. 5, Jingyuan Road, Beijing, China
| | - Kun Li
- Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Qinglei Shi
- MR Scientific Marketing, Diagnosis Imaging, Siemens Healthineers China, Beijing, China
| | - Chenlong Wang
- Department of Neurology, Civil Aviation General Hospital, Beijing, China
| | - Zhenyu Pan
- Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Lichun Zhou
- Department of Neurology, Beijing Chaoyang Hospital, Capital Medical University, No. 5, Jingyuan Road, Beijing, China
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Szcześniak D, Lenart-Bugla M, Misiak B, Zimny A, Sąsiadek M, Połtyn-Zaradna K, Zatońska K, Zatoński T, Szuba A, Smith EE, Yusuf S, Rymaszewska J. Unraveling the Protective Effects of Cognitive Reserve on Cognition and Brain: A Cross-Sectional Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:12228. [PMID: 36231530 PMCID: PMC9566249 DOI: 10.3390/ijerph191912228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Revised: 09/21/2022] [Accepted: 09/22/2022] [Indexed: 06/16/2023]
Abstract
This study aimed to investigate the hypothesis that brain maintenance expressed in white matter hyperintensities and brain reserves, defined as gray and white matter volumes, mediate the association between cognitive reserve (CR) and cognitive performance. A cross-sectional population-based observational study was conducted, and the final study sample consisted of 763 participants (282 men and 481 women) with a mean age of 61.11 years (±9.0). Data from different categories were collected from study participants, such as demographic, lifestyle, medical, and psycho-social characteristics. All participants underwent a detailed psychometric evaluation (MoCA and DSST) followed by a brain MRI. Volumetric measurements of the total gray matter (GMvol), total white matter (WMvol), and white matter hyperintensities (WMHvol) were performed using the Computational Anatomy Toolbox 12 (CAT12) and Statistical Parametric Maps 12 (SPM12) based on 3D T1-weighted sequence. Significant direct and indirect effects of cognitive reserve on cognitive functioning were measured with both scales-the MoCA and DSST. In each mediation model, the volumes of WMH and GM were significant mediators for the association between cognitive reserve and cognitive performance. This study confirms the importance of strengthening the cognitive reserve in the course of life through potentially modifiable effects on both cognition and the brain.
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Affiliation(s)
- Dorota Szcześniak
- Department of Psychiatry, Wroclaw Medical University, Pasteura 10, 50-367 Wroclaw, Poland
| | - Marta Lenart-Bugla
- Department of Psychiatry, Wroclaw Medical University, Pasteura 10, 50-367 Wroclaw, Poland
| | - Błażej Misiak
- Department of Psychiatry, Wroclaw Medical University, Pasteura 10, 50-367 Wroclaw, Poland
| | - Anna Zimny
- Department of General and Interventional Radiology and Neuroradiology, Wroclaw Medical University, Borowska 213, 50-556 Wroclaw, Poland
| | - Marek Sąsiadek
- Department of General and Interventional Radiology and Neuroradiology, Wroclaw Medical University, Borowska 213, 50-556 Wroclaw, Poland
| | | | - Katarzyna Zatońska
- Department of Social Medicine, Wroclaw Medical University, Bujwida 44, 50-345 Wroclaw, Poland
| | - Tomasz Zatoński
- Department and Clinic of Otolaryngology, Head and Neck Surgery, Wroclaw Medical University, Borowska 213, 50-556 Wroclaw, Poland
| | - Andrzej Szuba
- Department of Angiology, Wroclaw Medical University, Borowska 213, 50-556 Wroclaw, Poland
| | - Eric E. Smith
- Department of Clinical Sciences and Radiology, Hotchkiss Brain Institute, University of Calgary, Calgary, AB T2N 4N1, Canada
| | - Salim Yusuf
- Population Health Research Institute and Department of Medicine, Faculty of Health Sciences, McMaster University, Hamilton, ON L8L 2X2, Canada
| | - Joanna Rymaszewska
- Department of Psychiatry, Wroclaw Medical University, Pasteura 10, 50-367 Wroclaw, Poland
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Durrani R, Badhwar A, Bhangu J, Ganesh A, Black SE, Barber PA, Frayne R, Field TS, Hachinski V, Sahlas D, Mai LM, Sharma M, Swartz RH, Smith EE. Vascular Brain Lesions, Cognitive Reserve, and Their Association with Cognitive Profile in Persons with Early-Stage Cognitive Decline. J Alzheimers Dis Rep 2022; 6:607-616. [DOI: 10.3233/adr-220054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2022] [Accepted: 08/28/2022] [Indexed: 11/15/2022] Open
Abstract
Background: Cognitive reserve may protect against the effects of brain pathology, but few studies have looked at whether cognitive reserve modifies the adverse effects of vascular brain pathology. Objective: We determined if cognitive reserve attenuates the associations of vascular brain lesions with worse cognition in persons with subjective concerns or mild impairment. Methods: We analyzed 200 participants aged 50–90 years from the Comprehensive Assessment of Neurodegeneration and Dementia (COMPASS-ND) study. Cognition was measured using the Montreal Cognitive Assessment and a neuropsychological test battery. High vascular lesion burden was defined as two or more supratentorial infarcts or beginning confluent or confluent white matter hyperintensity. Cognitive reserve proxies included education, occupational attainment, marital status, social activities, physical activity, household income, and multilingualism. Results: Mean age was 72.8 years and 48% were female; 73.5% had mild cognitive impairment and 26.5% had subjective concerns. Professional/managerial occupations, annual household income≥$60,000 per year, not being married/common law, and high physical activity were independently associated with higher cognition. Higher vascular lesion burden was associated with lower executive function, but the association was not modified by cognitive reserve. Conclusion: Markers of cognitive reserve are associated with higher cognition. Vascular lesion burden is associated with lower executive function. However, cognitive reserve does not mitigate the effects of vascular lesion burden on executive function. Public health efforts should focus on preventing vascular brain injury as well as promoting lifestyle factors related to cognitive reserve, as cognitive reserve alone may not mitigate the effects of vascular brain injury.
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Affiliation(s)
- Romella Durrani
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Amanpreet Badhwar
- Department of Pharmacology and Physiology, University of Montreal, and Centre de recherche de l’Institut Universitaire de de Gériatrie, University of Montreal, Quebec, Canada
| | - Jaspreet Bhangu
- Department of Medicine, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Aravind Ganesh
- Department of Clinical Neurosciences and Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Alberta, Canada
| | - Sandra E. Black
- Department of Medicine (Neurology), Hurvitz Brain Sciences Program, Sunnybrook Health Sciences Centre, University of Toronto, Ontario, Canada
| | - Philip A. Barber
- Department of Clinical Neurosciences and Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Alberta, Canada
| | - Richard Frayne
- Seaman Family MR Research Centre, Foothills Medical Centre and Department of Radiology and Clinical Neuro sciences, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Alberta, Canada
| | - Thalia S. Field
- Department of Medicine (Neurology), Djavad Mowafaghian Centre for Brain Health, Vancouver Stroke Program, University of British Columbia, Vancouver, British Columbia, Canada
| | - Vladimir Hachinski
- Department of Clinical Neurological Sciences, Western University, London, Ontario, Canada
| | - Demetrios Sahlas
- Department of Medicine (Neurology), Population Health Research Institute, Mc Master University, Hamilton, Ontario, Canada
| | - Lauren M. Mai
- Department of Clinical Neurological Sciences, Western University, London, Ontario, Canada
| | - Mukul Sharma
- Department of Medicine (Neurology), Population Health Research Institute, Mc Master University, Hamilton, Ontario, Canada
| | - Richard H. Swartz
- Department of Medicine (Neurology), Hurvitz Brain Sciences Program, Sunnybrook Health Sciences Centre, University of Toronto, Ontario, Canada
| | - Eric E. Smith
- Department of Clinical Neurosciences and Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Alberta, Canada
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21
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Zhang L, Gao F, Zhang Y, Hu P, Yao Y, Zhang Q, He Y, Shang Q, Zhang Y. Analysis of risk factors for the development of cognitive dysfunction in patients with cerebral small vessel disease and the construction of a predictive model. Front Neurol 2022; 13:944205. [PMID: 36034271 PMCID: PMC9403715 DOI: 10.3389/fneur.2022.944205] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2022] [Accepted: 07/22/2022] [Indexed: 12/18/2022] Open
Abstract
Background Cognitive dysfunction in cerebral small vessel disease (CSVD) is a common cause of vascular dementia. The purpose of this study was to find independent risk factors for the development of cognitive dysfunction in patients with CSVD and establish a risk prediction model, in order to provide a reference for clinical diagnosis and treatment of such patients. Methods In this study, clinical data of patients with CSVD admitted to the Department of Neurology in Gansu Provincial Hospital from December 2019 to December 2021 were collected, and 159 patients were finally included after strict screening according to the inclusion and exclusion criteria. There were 43 patients with normal function and 116 patients with cerebral small vessel disease cognitive impairment (CSVDCI). The logistic multivariable regression model was used to screen out the independent risk factors of cognitive dysfunction in patients with CSVD, and the nomogram of cognitive dysfunction in patients with CSVD was constructed based on the results of the logistic multivariable regression analysis. Finally, the accuracy of the prediction model was evaluated by C-index, calibration curve, receiver operating characteristic (ROC) curve, and decision curve analysis (DCA). Results The results of multivariable logistic regression analysis showed that hypertension (OR = 2.683, 95% CI 1.119–6.432, P = 0.027), homocysteine (Hcy) (OR = 1.083, 95% CI 1.026–1.143, P = 0.004), total CSVD MRI Score (OR = 1.593, 95% CI 1.025–2.475, P = 0.039) and years of schooling (OR = 0.883, 95% CI 0.798–0.978, P = 0.017) were independent risk factors for the development of cognitive dysfunction in patients with CSVD. The C-index of this prediction model was 0.806 (95% CI 0.735–0.877), and the calibration curve, ROC curve, and DCA curve all showed good predictive power in the nomogram. Conclusions The nomogram constructed in this study has high accuracy and clinical utility in predicting the occurrence of cognitive dysfunction in patients with CSVD. For patients with CSVD with the above risk factors, active clinical intervention and prevention are required during clinical consultation and disease management to avoid cognitive impairment as much as possible.
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Affiliation(s)
- Le Zhang
- The First Clinical Medical College of Gansu University of Chinese Medicine (Gansu Provincial Hospital), Lanzhou, China
- The Department of Neurology, Gansu Provincial Hospital, Lanzhou, China
| | - Fulin Gao
- The Department of Neurology, Gansu Provincial Hospital, Lanzhou, China
| | - Yamin Zhang
- The Department of Neurology, Gansu Provincial Hospital, Lanzhou, China
| | - Pengjuan Hu
- The First Clinical Medical College of Gansu University of Chinese Medicine (Gansu Provincial Hospital), Lanzhou, China
- The Department of Neurology, Gansu Provincial Hospital, Lanzhou, China
| | - Yuping Yao
- The Department of Neurology, Gansu Provincial Hospital, Lanzhou, China
| | - Qingzhen Zhang
- The First Clinical Medical College of Gansu University of Chinese Medicine (Gansu Provincial Hospital), Lanzhou, China
- The Department of Neurology, Gansu Provincial Hospital, Lanzhou, China
| | - Yan He
- The First Clinical Medical College of Gansu University of Chinese Medicine (Gansu Provincial Hospital), Lanzhou, China
- The Department of Neurology, Gansu Provincial Hospital, Lanzhou, China
| | - Qianlan Shang
- The First Clinical Medical College of Gansu University of Chinese Medicine (Gansu Provincial Hospital), Lanzhou, China
- The Department of Neurology, Gansu Provincial Hospital, Lanzhou, China
| | - Yi Zhang
- The Department of Neurology, Gansu Provincial Hospital, Lanzhou, China
- *Correspondence: Yi Zhang
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22
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Karlamangla AS, Almeida DM, Lachman ME, Merkin SS, Thomas D, Seeman TE. Diurnal dynamic range as index of dysregulation of system dynamics. A cortisol examplar using data from the Study of Midlife in the United States. Psychoneuroendocrinology 2022; 142:105804. [PMID: 35623318 PMCID: PMC9262344 DOI: 10.1016/j.psyneuen.2022.105804] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Revised: 05/12/2022] [Accepted: 05/13/2022] [Indexed: 11/22/2022]
Abstract
We discuss the importance of including measures of dysregulated system dynamics in the operationalization of allostatic load. The concept of allostatic load, as originally proposed by McEwen and Stellar, included dysregulation not only in the resting state of physiological systems, but also in system dynamics. We describe previous work on cortisol diurnal dynamic range (peak to nadir spread) as an index of the health of the hypothalamic-pituitary-adrenal axis, with compression of dynamic range being a marker of dysregulation. In particular, we review the evidence for a) diurnal dynamic range compression in people from disadvantaged backgrounds, b) cross-sectional association of cortisol diurnal dynamic range compression with dysregulation in other systems' resting states, and c) cross-sectional association of cortisol diurnal dynamic range compression with lower scores on cognitive testing. Then, we present new data from the Study of Midlife in the United States (MIDUS) on longitudinal associations of cortisol dynamic range compression with subsequent cognitive decline and all-cause mortality. Briefly, each standard deviation decrement in cortisol diurnal dynamic range is associated with adjusted mortality hazard ratio of 1.35 (95% confidence interval: 1.19, 1.54). Among those who scored at median or lower in executive functioning at baseline and survive, each standard deviation decrement in cortisol dynamic range is associated with 1% greater decline in executive functioning over a decade (95% confidence interval: 0.4%, 2.0%). We conclude that including measures of system dynamics like diurnal dynamic range in the next generation of allostatic load measurement will likely advance understanding of the cumulative physiological burden of chronic stress and life experiences, and improve the prediction of future health consequences.
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Gu Y, Zhao P, Feng W, Xia X, Tian X, Yan Y, Wang X, Gao D, Du Y, Li X. Structural brain network measures in elderly patients with cerebral small vessel disease and depressive symptoms. BMC Geriatr 2022; 22:568. [PMID: 35810313 PMCID: PMC9270825 DOI: 10.1186/s12877-022-03245-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Accepted: 06/27/2022] [Indexed: 12/20/2022] Open
Abstract
Objectives To investigate the relationship between diffusion tensor imaging (DTI) indicators and cerebral small vessel disease (CSVD) with depressive states, and to explore the underlying mechanisms of white matter damage in CSVD with depression. Method A total of 115 elderly subjects were consecutively recruited from the neurology clinic, including 36 CSVD patients with depressive state (CSVD+D), 34 CSVD patients without depressive state (CSVD-D), and 45 controls. A detailed neuropsychological assessment and multimodal magnetic resonance imaging (MRI) were performed. Based on tract-based spatial statistics (TBSS) analysis and structural network analysis, differences between groups were compared, including white matter fiber indicators (fractional anisotropy and mean diffusivity) and structural brain network indicators (global efficiency, local efficiency and network strength), in order to explore the differences and correlations of DTI parameters among the three groups. Results There were no significant differences in terms of CSVD burden scores and conventional imaging findings between the CSVD-D and CSVD+D groups. Group differences were found in DTI indicators (p < 0.05), after adjusting for age, gender, education level, and vascular risk factors (VRF), there were significant correlations between TBSS analysis indicators and depression, including: fractional anisotropy (FA) (r = − 0.291, p < 0.05), mean diffusivity (MD) (r = 0.297, p < 0.05), at the same time, between structural network indicators and depression also show significant correlations, including: local efficiency (ELocal) (r = − 0.278, p < 0.01) and network strength (r = − 0.403, p < 0.001). Conclusions Changes in FA, MD values and structural network indicators in DTI parameters can predict the depressive state of CSVD to a certain extent, providing a more direct structural basis for the hypothesis of abnormal neural circuits in the pathogenesis of vascular-related depression. In addition, abnormal white matter alterations in subcortical neural circuits probably affect the microstructural function of brain connections, which may be a mechanism for the concomitant depressive symptoms in CSVD patients.
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Affiliation(s)
- Yumeng Gu
- Department of Neurology, Second Hospital of Tianjin Medical University, No.23, Pingjiang Road, Hexi District, Tianjin, 300211, China
| | - Ping Zhao
- Department of Neurology, Second Hospital of Tianjin Medical University, No.23, Pingjiang Road, Hexi District, Tianjin, 300211, China
| | - Wenjun Feng
- Department of Neurology, Second Hospital of Tianjin Medical University, No.23, Pingjiang Road, Hexi District, Tianjin, 300211, China
| | - Xiaoshuang Xia
- Department of Neurology, Second Hospital of Tianjin Medical University, No.23, Pingjiang Road, Hexi District, Tianjin, 300211, China
| | - Xiaolin Tian
- Department of Rehabilitation, Second Hospital of Tianjin Medical University, Tianjin, 300211, China
| | - Yu Yan
- Department of Neurology, Second Hospital of Tianjin Medical University, No.23, Pingjiang Road, Hexi District, Tianjin, 300211, China
| | - Xiaowen Wang
- Department of Neurology, Second Hospital of Tianjin Medical University, No.23, Pingjiang Road, Hexi District, Tianjin, 300211, China
| | - Decheng Gao
- Department of Neurology, Second Hospital of Tianjin Medical University, No.23, Pingjiang Road, Hexi District, Tianjin, 300211, China
| | - Yanfen Du
- Department of Neurology, Second Hospital of Tianjin Medical University, No.23, Pingjiang Road, Hexi District, Tianjin, 300211, China
| | - Xin Li
- Department of Neurology, Second Hospital of Tianjin Medical University, No.23, Pingjiang Road, Hexi District, Tianjin, 300211, China.
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Guo Y, Zhao S, Hou X, Nie S, Xu S, Hong Y, Chen Y, Guo S, Liu X, Xia Z. Insidious Attentional Deficits in Patients With Cerebral Small Vessel Disease Revealed by Attention Network Test. Front Neurol 2022; 13:865307. [PMID: 35795794 PMCID: PMC9251063 DOI: 10.3389/fneur.2022.865307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2022] [Accepted: 05/16/2022] [Indexed: 11/13/2022] Open
Abstract
Background Several reports have indicated potential cognitive decline for cerebral small vessel disease (CSVD), especially in attention domain, whereas the attentional function at network level is still elusive. In this study, we used the attention network test (ANT) paradigm to characterize the efficiency of the alerting, orienting, and executive control networks in patients with CSVD and explore possible correlations between attention network efficiencies and obtained CSVD total score. Methods A total of 31 patients with CSVD and 30 healthy controls matched for age, gender, and education level were recruited. After neuropsychological and anxiety/depression/somatization assessments, an original version of ANT containing different cue conditions and target stimuli was used to investigate independent attentional components, and then, behavioral performance (accuracy and reaction time) and network efficacy were recorded and analyzed. Results Assessed by traditional neuropsychological scale (MoCA), we did not find difference between groups on general cognition. Nevertheless, the overall reaction time to targets of ANT was markedly prolonged in patients with CSVD, and similar phenomenon was observed for overall accuracy on ANT. Moreover, patients showed significantly lower orienting and executive control network efficiencies compared with controls, while not for alerting network. These impairments were correlated with total CSVD burdens, but not with anxiety, depression, or somatization. Conclusions Although general and almost all individual cognitive function evaluated by MoCA seemed to remain intact, the orienting and executive control function was impaired in individuals with CSVD, which was modulated by lesion grades. Our observations implied insidious attentional deficits regarding CSVD. Given this, considering its simplicity and sensitivity, ANT could serve as an attractive tool for early diagnosis of cognitive dysfunction. Further investigations on the availability of ANT detection for CSVD are warranted.
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Affiliation(s)
- Yunliang Guo
- Department of Geriatric Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
- Department of Neurology, Liaocheng People's Hospital and Liaocheng Clinical School of Shandong First Medical University, Liaocheng, China
- Department of Geriatric Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
- Department of Geriatrics, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
- Anti-Aging Monitoring Laboratory, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Shuo Zhao
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Xunyao Hou
- Department of Geriatric Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
- Department of Geriatrics, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
- Anti-Aging Monitoring Laboratory, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Shanjing Nie
- Department of Geriatric Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
- Department of Geriatrics, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
- Anti-Aging Monitoring Laboratory, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Song Xu
- Department of Geriatric Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
- Department of Geriatrics, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
- Anti-Aging Monitoring Laboratory, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Yan Hong
- Department of Geriatric Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
- Department of Geriatrics, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
- Anti-Aging Monitoring Laboratory, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Yali Chen
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Shougang Guo
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
- Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Xueping Liu
- Department of Geriatric Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
- Department of Geriatrics, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
- Anti-Aging Monitoring Laboratory, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
- Xueping Liu
| | - Zhangyong Xia
- Department of Neurology, Liaocheng People's Hospital and Liaocheng Clinical School of Shandong First Medical University, Liaocheng, China
- Department of Neurology, Liaocheng People's Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
- *Correspondence: Zhangyong Xia
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Ren B, Tan L, Song Y, Li D, Xue B, Lai X, Gao Y. Cerebral Small Vessel Disease: Neuroimaging Features, Biochemical Markers, Influencing Factors, Pathological Mechanism and Treatment. Front Neurol 2022; 13:843953. [PMID: 35775047 PMCID: PMC9237477 DOI: 10.3389/fneur.2022.843953] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Accepted: 05/12/2022] [Indexed: 01/15/2023] Open
Abstract
Cerebral small vessel disease (CSVD) is the most common chronic vascular disease involving the whole brain. Great progress has been made in clinical imaging, pathological mechanism, and treatment of CSVD, but many problems remain. Clarifying the current research dilemmas and future development direction of CSVD can provide new ideas for both basic and clinical research. In this review, the risk factors, biological markers, pathological mechanisms, and the treatment of CSVD will be systematically illustrated to provide the current research status of CSVD. The future development direction of CSVD will be elucidated by summarizing the research difficulties.
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Affiliation(s)
- Beida Ren
- Department of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
- Institute for Brain Disorders, Beijing University of Chinese Medicine, Beijing, China
- Chinese Medicine Key Research Room of Brain Disorders Syndrome and Treatment of the National Administration of Traditonal Chinese Medicine, Beijing, China
| | - Ling Tan
- Department of Cardiology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Yuebo Song
- Department of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Danxi Li
- Institute for Brain Disorders, Beijing University of Chinese Medicine, Beijing, China
- Chinese Medicine Key Research Room of Brain Disorders Syndrome and Treatment of the National Administration of Traditonal Chinese Medicine, Beijing, China
| | - Bingjie Xue
- Institute for Brain Disorders, Beijing University of Chinese Medicine, Beijing, China
- Chinese Medicine Key Research Room of Brain Disorders Syndrome and Treatment of the National Administration of Traditonal Chinese Medicine, Beijing, China
| | - Xinxing Lai
- Institute for Brain Disorders, Beijing University of Chinese Medicine, Beijing, China
| | - Ying Gao
- Department of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
- Institute for Brain Disorders, Beijing University of Chinese Medicine, Beijing, China
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Xing Y, Li Q, Xu E, Zeng J, Li Q, Mei S, Hua Y. Impaired Cerebral Autoregulation in Parkinson's Disease: An Orthostatic Hypotension Analysis. Front Neurol 2022; 13:811698. [PMID: 35370873 PMCID: PMC8971280 DOI: 10.3389/fneur.2022.811698] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Accepted: 02/18/2022] [Indexed: 11/16/2022] Open
Abstract
Orthostatic hypotension (OH) is an early non-motor manifestation of Parkinson's disease (PD). However, the underlying mechanism of hemodynamic changes in patients with PD and OH remains unclear. This study aimed to investigate the dynamic cerebral autoregulation changes in patients with PD with OH. Ninety patients with PD and 20 age- and sex-matched healthy controls (HCs) were recruited. The patients' non-invasive blood pressure (BP) and cerebral blood flow velocity were simultaneously recorded at supine and orthostatic positions during the active standing test (AST). Transfer function analysis was used to determine autoregulatory parameters including gain [i.e., damping effect of dynamic cerebral autoregulation (dCA) on the magnitude of BP oscillation] and phase difference (i.e., the time delay of the cerebral blood flow response to BP). Sixteen patients (17.8%) in the PD population were diagnosed with OH (PD-OH). The AST results were normal for 74 patients (82.2%) (PD-NOR). In the supine position, the PD-OH group had a lower phase degree than the PD-NOR group (50.3 ± 23.4 vs. 72.6 ± 32.2 vs. 68.9 ± 12.1, p = 0.020); however, no significant difference was found upon comparing with the HC group. In the orthostatic position, the normalized gain was significantly higher for the symptomatic OH group than for the asymptomatic OH group and HC group (1.50 ± 0.58 vs. 0.97 ± 0.29 vs. 1.10 ± 0.31, p = 0.019). A symptomatic OH in the PD population indicates an impaired cerebral autoregulation ability in the orthostatic position. Cerebral autoregulation tends to be impaired in the supine position in the OH population.
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Affiliation(s)
- Yingqi Xing
- Department of Vascular Ultrasonography, Xuanwu Hospital, Capital Medical University, Beijing, China
- Beijing Diagnostic Center of Vascular Ultrasound, Beijing, China
- Center of Vascular Ultrasonography, Beijing Institute of Brain Disorders, Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing, China
| | - Qing Li
- Department of Vascular Ultrasonography, Xuanwu Hospital, Capital Medical University, Beijing, China
- Beijing Diagnostic Center of Vascular Ultrasound, Beijing, China
- Center of Vascular Ultrasonography, Beijing Institute of Brain Disorders, Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing, China
| | - Erhe Xu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Jingrong Zeng
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Qiuping Li
- Department of Vascular Ultrasonography, Xuanwu Hospital, Capital Medical University, Beijing, China
- Beijing Diagnostic Center of Vascular Ultrasound, Beijing, China
- Center of Vascular Ultrasonography, Beijing Institute of Brain Disorders, Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing, China
| | - Shanshan Mei
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yang Hua
- Department of Vascular Ultrasonography, Xuanwu Hospital, Capital Medical University, Beijing, China
- Beijing Diagnostic Center of Vascular Ultrasound, Beijing, China
- Center of Vascular Ultrasonography, Beijing Institute of Brain Disorders, Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing, China
- *Correspondence: Yang Hua
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Hotz I, Deschwanden PF, Mérillat S, Liem F, Kollias S, Jäncke L. Associations of subclinical cerebral small vessel disease and processing speed in non-demented subjects: A 7-year study. Neuroimage Clin 2021; 32:102884. [PMID: 34911190 PMCID: PMC8633374 DOI: 10.1016/j.nicl.2021.102884] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Revised: 10/26/2021] [Accepted: 11/16/2021] [Indexed: 12/22/2022]
Abstract
Markers of cerebral small vessel disease (CSVD) have previously been associated with age-related cognitive decline. Using longitudinal data of cognitively healthy, older adults (N = 216, mean age at baseline = 70.9 years), we investigated baseline status and change in white matter hyperintensities (WMH) (total, periventricular, deep), normal appearing white matter (NAWM), brain parenchyma volume (BPV) and processing speed over seven years as well as the impact of different covariates by applying latent growth curve (LGC) models. Generally, we revealed a complex pattern of associations between the different CSVD markers. More specifically, we observed that changes of deep WMH (dWMH), as compared to periventricular WMH (pWMH), were more strongly related to the changes of other CSVD markers and also to baseline processing speed performance. Further, the number of lacunes rather than their volume reflected the severity of CSVD. With respect to the studied covariates, we revealed that higher education had a protective effect on subsequent total WMH, pWMH, lacunar number, NAWM volume, and processing speed performance. The indication of antihypertensive drugs was associated with lower lacunar number and volume at baseline and the indication of antihypercholesterolemic drugs came along with higher processing speed performance at baseline. In summary, our results confirm previous findings, and extend them by providing information on true within-person changes, relationships between the different CSVD markers and brain-behavior associations. The moderate to strong associations between changes of the different CSVD markers indicate a common pathological relationship and, thus, support multidimensional treatment strategies.
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Affiliation(s)
- Isabel Hotz
- Division of Neuropsychology, Department of Psychology, University of Zurich, Zurich, Switzerland; University Research Priority Program (URPP), Dynamics of Healthy Aging, University of Zurich, Zurich, Switzerland.
| | - Pascal Frédéric Deschwanden
- University Research Priority Program (URPP), Dynamics of Healthy Aging, University of Zurich, Zurich, Switzerland
| | - Susan Mérillat
- University Research Priority Program (URPP), Dynamics of Healthy Aging, University of Zurich, Zurich, Switzerland
| | - Franziskus Liem
- University Research Priority Program (URPP), Dynamics of Healthy Aging, University of Zurich, Zurich, Switzerland
| | - Spyridon Kollias
- Department of Neuroradiology, University Hospital Zurich, Zurich, Switzerland
| | - Lutz Jäncke
- Division of Neuropsychology, Department of Psychology, University of Zurich, Zurich, Switzerland; University Research Priority Program (URPP), Dynamics of Healthy Aging, University of Zurich, Zurich, Switzerland.
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28
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Durrani R, Friedrich MG, Schulze KM, Awadalla P, Balasubramanian K, Black SE, Broet P, Busseuil D, Desai D, Dummer T, Dick A, Hicks J, Iype T, Kelton D, Kirpalani A, Lear SA, Leipsic J, Li W, McCreary CR, Moody AR, Noseworthy MD, Parraga G, Poirier P, Rangarajan S, Szczesniak D, Szuba A, Tardif JC, Teo K, Vena JE, Zatonska K, Zimny A, Lee DS, Yusuf S, Anand SS, Smith EE. Effect of Cognitive Reserve on the Association of Vascular Brain Injury With Cognition: Analysis of the PURE and CAHHM Studies. Neurology 2021; 97:e1707-e1716. [PMID: 34504021 PMCID: PMC8605614 DOI: 10.1212/wnl.0000000000012765] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Accepted: 09/03/2021] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND AND OBJECTIVES To determine whether cognitive reserve attenuates the association of vascular brain injury with cognition. METHODS Cross-sectional data were analyzed from 2 harmonized studies: the Canadian Alliance for Healthy Hearts and Healthy Minds (CAHHM) and the Prospective Urban and Rural Epidemiology (PURE) study. Markers of cognitive reserve were education, involvement in social activities, marital status, height, and leisure physical activity, which were combined into a composite score. Vascular brain injury was defined as nonlacunar brain infarcts or high white matter hyperintensity (WMH) burden on MRI. Cognition was assessed using the Montreal Cognitive Assessment Tool (MoCA) and the Digit Symbol Substitution Test (DSST). RESULTS There were 10,916 participants age 35-81. Mean age was 58.8 years (range 35-81) and 55.8% were female. Education, moderate leisure physical activity, being in a marital partnership, being taller, and participating in social groups were each independently associated with higher cognition, as was the composite cognitive reserve score. Vascular brain injury was associated with lower cognition (β -0.35 [95% confidence interval [CI] -0.53 to -0.17] for MoCA and β -2.19 [95% CI -3.22 to -1.15] for DSST) but the association was not modified by the composite cognitive reserve variable (interaction p = 0.59 for MoCA and p = 0.72 for DSST). CONCLUSIONS Both vascular brain injury and markers of cognitive reserve are associated with cognition. However, the effects were independent such that the adverse effects of covert vascular brain injury were not attenuated by higher cognitive reserve. To improve cognitive brain health, interventions to both prevent cerebrovascular disease and promote positive lifestyles are needed.
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Affiliation(s)
- Romella Durrani
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - Matthias G Friedrich
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - Karleen M Schulze
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - Philip Awadalla
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - Kumar Balasubramanian
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - Sandra E Black
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - Philippe Broet
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - David Busseuil
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - Dipika Desai
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - Trevor Dummer
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - Alexander Dick
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - Jason Hicks
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - Thomas Iype
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - David Kelton
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - Anish Kirpalani
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - Scott A Lear
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - Jonathon Leipsic
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - Wei Li
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - Cheryl R McCreary
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - Alan R Moody
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - Michael D Noseworthy
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - Grace Parraga
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - Paul Poirier
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - Sumathy Rangarajan
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - Dorota Szczesniak
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - Andrzej Szuba
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - Jean-Claude Tardif
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - Koon Teo
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - Jennifer E Vena
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - Katarzyna Zatonska
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - Anna Zimny
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - Douglas S Lee
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - Salim Yusuf
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - Sonia S Anand
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada
| | - Eric E Smith
- From the Department of Clinical Neurosciences and Hotchkiss Brain Institute (R.D., E.E.S.) and Departments of Radiology and Clinical Neurosciences (C.R.M.), University of Calgary; Department of Medicine and Diagnostic Radiology (M.G.F.), McGill University, Montreal; Population Health Research Institute, Hamilton Health Sciences (K.M.S., K.B., D.D., S.R., K.T., S.Y., S.S.A.), Department of Medicine (K.M.S., K.B., S.R., K.T., S.Y., S.S.A.), Department of Electrical and Computer Engineering, School of Biomedical Engineering (M.D.N.), and Department of Health Evidence and Impact (K.T., S.Y., S.S.A.), McMaster University, Hamilton; Department of Molecular Genetics, Ontario Institute for Cancer Research (P.A.), Department of Medicine (Neurology) (S.B.), Sunnybrook Research Institute (S.B.), and Department of Medical Imaging (A.R.M.), Sunnybrook Health Sciences Centre, University of Toronto; Department of Medical Imaging, St. Michael's Hospital (A.K.), and Department of Medicine, ICES (D.S.L.), University of Toronto; Department of Preventive and Social Medicine, École de Santé Publique (P.B.), and Research Centre, Montreal Heart Institute (D.B., J.-C.T.), Université de Montréal; Research Centre (P.B.), CHU Sainte-Justine, Montreal; School of Population and Public Health (T.D.) and Department of Radiology, St. Paul's Hospital (J.L.), University of British Columbia, Vancouver; Division of Cardiology (A.D.), University of Ottawa Heart Institute, University of Ottawa; Atlantic PATH (J.H.), Dalhousie University, Halifax, Canada; Department of Neurology (T.I.), Government Medical College Thiruvananthapuram, India; Diagnostic Imaging (D.K.), Brampton Civic Hospital, William Osler Health System, Etobicoke; Faculty of Health Sciences (S.A.L.), Simon Fraser University, Burnaby, Canada; National Center for Cardiovascular Diseases (W.L.), Chinese Academy of Medical Sciences, Fu Wai Hospital, Beijing, China; Diagnostic Imaging (M.D.N.), St. Joseph's Health Care, Hamilton; Department of Medical Biophysics and Robarts Research Institute (G.P.), Western University, London; Institut de Cardiologie et de Pneumologie de Quebec (P.P.), Université Laval, Canada; Departments of Psychiatry (D.S.), Angiology (A.S.), Social Medicine (K.Z.), and General and Interventional Radiology and Neuroradiology (A.Z.), Wroclaw Medical University, Poland; and Cancer Research and Analytics (J.E.V.), Cancer Care Control Alberta, Alberta Health Services, Calgary, Canada.
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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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30
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Bai X, Zhang M. Traditional Chinese Medicine Intervenes in Vascular Dementia: Traditional Medicine Brings New Expectations. Front Pharmacol 2021; 12:689625. [PMID: 34194332 PMCID: PMC8236843 DOI: 10.3389/fphar.2021.689625] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Accepted: 05/28/2021] [Indexed: 12/17/2022] Open
Abstract
Vascular dementia (VD) is one of the most common forms of dementia, referring to a group of symptoms that mainly manifest as advanced neurocognitive dysfunction induced by cerebrovascular disease (CVD). A significant number of studies have shown that traditional Chinese medicine (TCM) has a clinical impact on VD and thus has promising prospects. There have been many discussions regarding the pharmacological mechanisms involved in treatment of the kidney, elimination of turbidity, and promotion of blood circulation. TCM has a prominent effect on improving patients' cognitive function and quality of life. In this review, we summarize the pathogenesis of VD in modern medicine and TCM, traditional prescriptions, single-agent effective ingredients and their pharmacological mechanisms for treating VD, highlight TCM's characteristics, and discuss TCM's multi-targeted mechanism for the treatment of VD.
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Affiliation(s)
| | - Meng Zhang
- Department of Gerontology and Geriatrics, Shengjing Hospital of China Medical University, Shenyang, China
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31
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Arola A, Laakso HM, Pitkänen J, Koikkalainen J, Lötjönen J, Korvenoja A, Erkinjuntti T, Melkas S, Jokinen H. Associations of cognitive reserve and psychological resilience with cognitive functioning in subjects with cerebral white matter hyperintensities. Eur J Neurol 2021; 28:2622-2630. [PMID: 33977580 DOI: 10.1111/ene.14910] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Revised: 04/30/2021] [Accepted: 05/03/2021] [Indexed: 11/29/2022]
Abstract
BACKGROUND AND PURPOSE Cerebral small vessel disease is characterized by progressive white matter hyperintensities (WMH) and cognitive decline. However, variability exists in how individuals maintain cognitive capabilities despite significant neuropathology. The relationships between individual cognitive reserve, psychological resilience and cognitive functioning were examined in subjects with varying degrees of WMH. METHODS In the Helsinki Small Vessel Disease Study, 152 subjects (aged 65-75 years) underwent a comprehensive neuropsychological assessment, evaluation of subjective cognitive complaints and brain magnetic resonance imaging with volumetric WMH evaluation. Cognitive reserve was determined by education (years) and the modified Cognitive Reserve Scale (mCRS). Psychological resilience was evaluated with the Resilience Scale 14. RESULTS The mCRS total score correlated significantly with years of education (r = 0.23, p < 0.01), but it was not related to age, sex or WMH volume. Together, mCRS score and education were associated with performance in a wide range of cognitive domains including processing speed, executive functions, working memory, verbal memory, visuospatial perception and verbal reasoning. Independently of education, the mCRS score had incremental predictive value on delayed verbal recall and subjective cognitive complaints. Psychological resilience was not significantly related to age, education, sex, WMH severity or cognitive test scores, but it was associated with subjective cognitive complaints. CONCLUSIONS Cognitive reserve has strong and consistent associations with cognitive functioning in subjects with WMH. Education is widely associated with objective cognitive functioning, whereas lifetime engagement in cognitively stimulating leisure activities (mCRS) has independent predictive value on memory performance and subjective cognitive complaints. Psychological resilience is strongly associated with subjective, but not objective, cognitive functioning.
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Affiliation(s)
- Anne Arola
- Division of Neuropsychology, HUS Neurocenter, Helsinki University Hospital and University of Helsinki, Helsinki, Finland.,Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Hanna M Laakso
- Division of Neuropsychology, HUS Neurocenter, Helsinki University Hospital and University of Helsinki, Helsinki, Finland.,Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Johanna Pitkänen
- Department of Neurology, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Juha Koikkalainen
- Combinostics Ltd, Tampere, Finland.,Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland
| | - Jyrki Lötjönen
- Combinostics Ltd, Tampere, Finland.,Department of Neuroscience and Biomedical Engineering, School of Science, Aalto University, Espoo, Finland
| | - Antti Korvenoja
- Department of Radiology, HUS Diagnostic Center, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Timo Erkinjuntti
- Department of Neurology, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Susanna Melkas
- Department of Neurology, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Hanna Jokinen
- Division of Neuropsychology, HUS Neurocenter, Helsinki University Hospital and University of Helsinki, Helsinki, Finland.,Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
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Schulz M, Malherbe C, Cheng B, Thomalla G, Schlemm E. Functional connectivity changes in cerebral small vessel disease - a systematic review of the resting-state MRI literature. BMC Med 2021; 19:103. [PMID: 33947394 PMCID: PMC8097883 DOI: 10.1186/s12916-021-01962-1] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Accepted: 03/17/2021] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Cerebral small vessel disease (CSVD) is a common neurological disease present in the ageing population that is associated with an increased risk of dementia and stroke. Damage to white matter tracts compromises the substrate for interneuronal connectivity. Analysing resting-state functional magnetic resonance imaging (fMRI) can reveal dysfunctional patterns of brain connectivity and contribute to explaining the pathophysiology of clinical phenotypes in CSVD. MATERIALS AND METHODS This systematic review provides an overview of methods and results of recent resting-state functional MRI studies in patients with CSVD. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) protocol, a systematic search of the literature was performed. RESULTS Of 493 studies that were screened, 44 reports were identified that investigated resting-state fMRI connectivity in the context of cerebral small vessel disease. The risk of bias and heterogeneity of results were moderate to high. Patterns associated with CSVD included disturbed connectivity within and between intrinsic brain networks, in particular the default mode, dorsal attention, frontoparietal control, and salience networks; decoupling of neuronal activity along an anterior-posterior axis; and increases in functional connectivity in the early stage of the disease. CONCLUSION The recent literature provides further evidence for a functional disconnection model of cognitive impairment in CSVD. We suggest that the salience network might play a hitherto underappreciated role in this model. Low quality of evidence and the lack of preregistered multi-centre studies remain challenges to be overcome in the future.
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Affiliation(s)
- Maximilian Schulz
- Department of Neurology, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Caroline Malherbe
- Department of Neurology, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
- Department of Computational Neuroscience, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Bastian Cheng
- Department of Neurology, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Götz Thomalla
- Department of Neurology, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Eckhard Schlemm
- Department of Neurology, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany.
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Limoncu H, Boz HE, Zygouris S, Tsolaki M, Giakoumis D, Votis K, Tzovaras D, Öztürk V, Yener GG. A Virtual Reality-Based Screening Test for Cognitive Impairment in Small Vessel Disease. J Alzheimers Dis Rep 2021; 5:161-169. [PMID: 33981953 PMCID: PMC8075552 DOI: 10.3233/adr-200257] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022] Open
Abstract
Background: There is a need for new practical tools to assess the cognitive impairment of small vessel disease (SVD) patients in the clinic. Objective: This study aimed to examine cognitive functioning by administering the Virtual Supermarket (VST) in patients with SVD with cognitive impairment (SVD-CI, N = 32), cognitively normal SVD (SVD-CN, N = 37), and age-and education-matched healthy controls (HC, N = 30). Methods: The tablet-based VST application and comprehensive traditional pencil-and-paper neuropsychological tests assessing memory, attention, executive function, visuospatial function, and language were administered to all participants. Results: A moderate correlation was found between the “Duration” and “Correct Quantities” variables of VST and visuospatial function and general cognitive status composite Z scores across SVD-CI patients. “Duration” and “Correct Money” variables were moderately related to memory, executive functions, and visuospatial function composite Z scores across SVD-CN patients. A combination of all VST variables discriminated SVD-CI and HC with a correct classification rate of 81%, a sensitivity of 78%, and a specificity of 84%. Conclusion: This study is the first to evaluate cognitive functions employing the VST in SVD with and without cognitive impairment. It provides encouraging preliminary findings of the utility of the VST as a screening tool in the assessment of cognitive impairment and the differentiation of SVD patients from HC. In the future, validation studies of the VST with larger samples are needed.
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Affiliation(s)
- Hatice Limoncu
- Department of Neurology, School of Medicine, Dokuz Eylul University, Izmir, Turkey
| | - Hatice Eraslan Boz
- Department of Neurology, School of Medicine, Dokuz Eylul University, Izmir, Turkey.,Department of Neurosciences, Institute of Health Sciences, Dokuz Eylul University, Izmir, Turkey
| | - Stelios Zygouris
- Department of Neurology, School of Medicine, Aristotle University of Thessaloniki, Greece.,Network Aging Research, Heidelberg University, Germany
| | - Magda Tsolaki
- Department of Neurology, School of Medicine, Aristotle University of Thessaloniki, Greece.,Greek Association of Alzheimer's Disease and Related Disorders, Thessaloniki, Greece
| | - Dimitrios Giakoumis
- Center for Research & Technology Hellas/Information Technologies Institute (CERTH/ITI), Thessaloniki, Greece
| | - Konstantinos Votis
- Center for Research & Technology Hellas/Information Technologies Institute (CERTH/ITI), Thessaloniki, Greece
| | - Dimitrios Tzovaras
- Center for Research & Technology Hellas/Information Technologies Institute (CERTH/ITI), Thessaloniki, Greece
| | - Vesile Öztürk
- Department of Neurology, School of Medicine, Dokuz Eylul University, Izmir, Turkey
| | - Görsev Gülmen Yener
- Department of Neurology, School of Medicine, Dokuz Eylul University, Izmir, Turkey.,Department of Neurosciences, Institute of Health Sciences, Dokuz Eylul University, Izmir, Turkey.,Izmir Biomedicine and Genome Center, Izmir, Turkey
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Raghavan S, Graff-Radford J, Scharf E, Przybelski SA, Lesnick TG, Gregg B, Schwarz CG, Gunter JL, Zuk SM, Rabinstein A, Mielke MM, Petersen RC, Knopman DS, Kantarci K, Jack CR, Vemuri P. Study of Symptomatic vs. Silent Brain Infarctions on MRI in Elderly Subjects. Front Neurol 2021; 12:615024. [PMID: 33679582 PMCID: PMC7925615 DOI: 10.3389/fneur.2021.615024] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Accepted: 02/01/2021] [Indexed: 12/16/2022] Open
Abstract
Brain infarctions are closely associated with future risk of stroke and dementia. Our goal was to report (i) frequency and characteristics that differentiate symptomatic vs. silent brain infarctions (SBI) on MRI and (ii) frequency and location by vascular distribution (location of stroke by major vascular territories) in a population based sample. From Mayo Clinic Study of Aging, 347 participants (≥50 years) with infarcts detected on their first MRI were included. Infarct information was identified visually on a FLAIR MRI image and a vascular territory atlas was registered to the FLAIR image data in order to identify the arterial territory of infarction. We identified the subset with a clinical history of stroke based on medical chart review and used a logistic regression to evaluate the risk factors associated with greater probability of a symptomatic stroke vs. SBI. We found that 14% of all individuals with infarctions had a history of symptomatic stroke (Silent: n = 300, symptomatic: n = 47). Factors associated with a symptomatic vs. SBI were size which had an odds ratio of 3.07 (p < 0.001), greater frequency of hypertension (odds ratio of 4.12, p = 0.025) and alcohol history (odds ratio of 4.58, p = 0.012). The frequency of infarcts was greater in right hemisphere compared to the left for SBI. This was primarily driven by middle cerebral artery (MCA) infarcts (right = 60%, left = 40%, p = 0.005). While left hemisphere strokes are more common for symptomatic carotid disease and in clinical trials, right hemispheric infarcts may be more frequent in the SBI group.
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Affiliation(s)
| | | | - Eugene Scharf
- Neurology, Mayo Clinic, Rochester, MN, United States
| | | | | | - Brian Gregg
- Departments of Radiology, Mayo Clinic, Rochester, MN, United States
| | | | | | - Samantha M. Zuk
- Departments of Radiology, Mayo Clinic, Rochester, MN, United States
| | | | - Michelle M. Mielke
- Neurology, Mayo Clinic, Rochester, MN, United States
- Health Sciences Research, Mayo Clinic, Rochester, MN, United States
| | | | | | - Kejal Kantarci
- Departments of Radiology, Mayo Clinic, Rochester, MN, United States
| | - Clifford R. Jack
- Departments of Radiology, Mayo Clinic, Rochester, MN, United States
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Brain Reserve in a Case of Cognitive Resilience to Severe Leukoaraiosis. J Int Neuropsychol Soc 2021; 27:99-108. [PMID: 32539895 PMCID: PMC7738360 DOI: 10.1017/s1355617720000569] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
OBJECTIVE Leukoaraiosis, or white matter rarefaction, is a common imaging finding in aging and is presumed to reflect vascular disease. When severe in presentation, potential congenital or acquired etiologies are investigated, prompting referral for neuropsychological evaluation in addition to neuroimaging. T2-weighted imaging is the most common magnetic resonance imaging (MRI) approach to identifying white matter disease. However, more advanced diffusion MRI techniques may provide additional insight into mechanisms that influence the abnormal T2 signal, especially when clinical presentations are discrepant with imaging findings. METHOD We present a case of a 74-year-old woman with severe leukoaraoisis. She was examined by a neurologist, neuropsychologist, and rheumatologist, and completed conventional (T1, T2-FLAIR) MRI, diffusion tensor imaging (DTI), and advanced single-shell, high b-value diffusion MRI (i.e., fiber ball imaging [FBI]). RESULTS The patient was found to have few neurological signs, no significant cognitive impairment, a negative workup for leukoencephalopathy, and a positive antibody for Sjogren's disease for which her degree of leukoaraiosis would be highly atypical. Tractography results indicate intact axonal architecture that was better resolved using FBI rather than DTI. CONCLUSIONS This case illustrates exceptional cognitive resilience in the face of severe leukoaraiosis and the potential for advanced diffusion MRI to identify brain reserve.
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Zhang X, Liu X, Xia R, Li N, Liao X, Chen Z. Chinese herbal medicine for vascular cognitive impairment in cerebral small vessel disease: A protocol for systematic review and meta-analysis of randomized controlled trials. Medicine (Baltimore) 2020; 99:e22455. [PMID: 33019432 PMCID: PMC7535689 DOI: 10.1097/md.0000000000022455] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
Abstract
BACKGROUND Cerebral small vessel disease (CSVD) is the most common etiology of vascular cognitive impairment (VCI). VCI in CSVD (CSVD-VCI) shows a progressive course with multiple stages and is also associated with dysfunctions such as gait, emotional and behavioral, and urinary disturbances, which seriously affect the life quality of elderly people. In mainland China, Chinese herbal medicine (CHM) is clinically used for CSVD-VCI and presenting positive efficacy, but the evidence revealed in relevant clinical trials has not been systematically evaluated. The purpose of this study is to assess the current evidence available for the clinical efficacy and safety of CHM for CSVD-VCI. METHODS A literature search of published RCTs up to April 30, 2020, has been conducted in the following 7 electronic databases: PubMed, Embase, the Cochrane Library, Chinese National Knowledge Infrastructure Database (CNKI), Chinese Science and Technology Journals Database (VIP), Wanfang Database, and Chinese Biomedical Literature Service System (SinoMed). For unpublished studies, 2 clinical trial online registration websites will be searched: ClinicalTrials.gov and Chinese Clinical Trial Registry (ChiCTR). Only randomized controlled trials (RCTs) using CHM in the treatment of patients with CSVD-VCI, which compares CHM with no treatment, placebo, or other conventional treatments, will be included in this systematic review. Primary outcomes will be set as acknowledged scales measuring cognitive function. Secondary outcomes will involve activities of daily living, behavioral, and psychological symptoms, global performance of dementia, neurological function, biological markers of endothelial dysfunction, the clinical effective rate, and adverse events. After screening studies and extracting data, the Cochrane Collaborations tool for assessing risk of bias will be applied to assess the methodological quality of included RCTs. Review Manager Version 5.3 software will be used for data synthesis and statistical analysis. Subgroup analyses, sensitivity analyses, and meta-regression will be conducted to detect potential sources of heterogeneity. The funnel plot and Eggers test will be developed to evaluate publication bias, if available. We will perform the Grading of Recommendations Assessment, Development and Evaluation (GRADE) system to appraise the quality of evidence. RESULTS Evidence exhibited in this systematic review will provide practical references in the field of CHM treating CSVD-VCI. Moreover, our detailed appraisals of methodological deficiencies of relevant RCTs will offer helpful advice for researchers who are designing trials of CHMs in the treatment of CSVD-VCI. CONCLUSION The conclusion about the clinical efficacy and safety of CHM for CSVD-VCI will be provided for clinical plans, decisions, and policy developments in the full version of this systematic review. SYSTEMATIC REVIEW REGISTRATION INPLASY202080120.
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Affiliation(s)
| | | | - Ruyu Xia
- Centre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine
| | | | - Xing Liao
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China
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Strong J, Fonda JR, Grande L, Milberg W, McGlinchey R, Leritz E. The role of cognitive reserve in the relationship between metabolic syndrome and cognitive functioning. AGING NEUROPSYCHOLOGY AND COGNITION 2020; 28:717-732. [PMID: 32893722 DOI: 10.1080/13825585.2020.1817304] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Metabolic syndrome (MetS) is a cluster of vascular risk factors that can impact cognition. Cognitive reserve (CR), specifically early operators of reserve (e.g., education), have not been explored in the relationship between MetS and cognition. Adults 45-90 years old (n = 149) underwent neuropsychological testing and evaluation for MetS. Exploratory and confirmatory factor analyses defined neuropsychological domains and created a CR score based on early operators of CR. Regression analyses examined the association among MetS, CR, and neuropsychological performance. CFA revealed two neuropsychological factors: Episodic Memory and Executive Functioning. Controlling for age and physical ability, MetS and CR were significant predictors of the Factors. With CR in the model, MetS became a non-significant predictor of Executive Functioning; CR and physical ability were the most significant predictors. CR and MetS significantly predicted Episodic Memory . The results are discussed in the context of neuroprotective factors and cognitive aging.
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Affiliation(s)
- Jessica Strong
- VA Boston Healthcare System; Boston, Massachusetts, USA.,New England Geriatric Research Education and Clinical Center; Boston, Massachusetts, USA.,Harvard Medical School, Department of Psychiatry; Boston, Massachusetts, USA
| | - Jennifer R Fonda
- VA Boston Healthcare System; Boston, Massachusetts, USA.,Translational Research Center for Traumatic Brain Injury and Stress Disorders; Boston, Massachusetts, USA.,Department of Psychiatry, Boston University School of Medicine, Boston, USA
| | - Laura Grande
- VA Boston Healthcare System; Boston, Massachusetts, USA.,Harvard Medical School, Department of Psychiatry; Boston, Massachusetts, USA
| | - William Milberg
- VA Boston Healthcare System; Boston, Massachusetts, USA.,Harvard Medical School, Department of Psychiatry; Boston, Massachusetts, USA.,Translational Research Center for Traumatic Brain Injury and Stress Disorders; Boston, Massachusetts, USA
| | - Regina McGlinchey
- VA Boston Healthcare System; Boston, Massachusetts, USA.,Harvard Medical School, Department of Psychiatry; Boston, Massachusetts, USA.,Translational Research Center for Traumatic Brain Injury and Stress Disorders; Boston, Massachusetts, USA
| | - Elizabeth Leritz
- VA Boston Healthcare System; Boston, Massachusetts, USA.,New England Geriatric Research Education and Clinical Center; Boston, Massachusetts, USA.,Harvard Medical School, Department of Psychiatry; Boston, Massachusetts, USA
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Niu HM, Ma DL, Wang MY, Chen XP, Zhang L, Li YL, Zhang L, Li L. Epimedium flavonoids protect neurons and synapses in the brain via activating NRG1/ErbB4 and BDNF/Fyn signaling pathways in a chronic cerebral hypoperfusion rat model. Brain Res Bull 2020; 162:132-140. [PMID: 32592805 DOI: 10.1016/j.brainresbull.2020.06.012] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Revised: 06/02/2020] [Accepted: 06/19/2020] [Indexed: 12/20/2022]
Abstract
Cerebral hypoperfusion is a common feature of cerebral small vascular disease (CSVD), which has been considered as one of the causes of cognitive decline in recent years. Epimedium flavonoids (EF) are the main ingredients extracted from Epimedium. The purpose of this study was to investigate the effects of EF on cognitive impairment, and the underlying mechanisms in rats with permanent occlusion of the bilateral common carotid artery (2VO). EF (50, 100, and 200 mg/kg) was intragastrically administered for 12 weeks starting 2 weeks after 2VO surgery. The results showed that EF treatment improved learning and memory impairment in 2VO rats evaluated by novel object recognition and Y-maze tests. NeuN immunohistochemical staining indicated that EF alleviated neuronal loss in the hippocampus and cerebral cortex of 2VO rats. MAP-2 immunofluorescence staining and western blotting showed that EF protected neuronal dendrites and increased the expression of cytoskeleton proteins MAP-2 and NF200 in the hippocampus of 2VO rats. Moreover, EF protected the synapse ultrastructure detected by transmission electron microscopy, and increased the expression of synaptic plasticity-related proteins, including synaptophysin, synaptotagmin-I, synapsin I, PSD-95, p-NMDA2B, and p-CaMKII-α in the hippocampus of 2VO rats. In addition, EF increased the expression of neuregulin-1 (NRG-1), p-ErbB4, brain-derived neurotrophic factor (BDNF), p-Fyn, PI3K, p-Akt, and p-CREB in the hippocampus of 2VO rats. These results suggest that EF may protect neurons and synapses by activating the NRG1/ErbB4, BDNF/Fyn, and P13 K/Akt/CREB pathways in the hippocampus and cerebral cortex, thus improving cognitive impairment induced by chronic cerebral hypoperfusion. EF may be a potential candidate drug for chronic cerebral hypoperfusion and CSVD therapy.
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Affiliation(s)
- Hong-Mei Niu
- Department of Pharmacy, Xuanwu Hospital of Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing Engineering Research Center for Nerve System Drugs, Beijing Institute for Brain Disorders, Key Laboratory for Neurodegenerative Diseases of Ministry of Education, Beijing, 100053, China
| | - Deng-Lei Ma
- Department of Pharmacy, Xuanwu Hospital of Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing Engineering Research Center for Nerve System Drugs, Beijing Institute for Brain Disorders, Key Laboratory for Neurodegenerative Diseases of Ministry of Education, Beijing, 100053, China
| | - Ming-Yang Wang
- Department of Pharmacy, Xuanwu Hospital of Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing Engineering Research Center for Nerve System Drugs, Beijing Institute for Brain Disorders, Key Laboratory for Neurodegenerative Diseases of Ministry of Education, Beijing, 100053, China
| | - Xiao-Ping Chen
- Department of Pharmacy, Xuanwu Hospital of Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing Engineering Research Center for Nerve System Drugs, Beijing Institute for Brain Disorders, Key Laboratory for Neurodegenerative Diseases of Ministry of Education, Beijing, 100053, China
| | - Li Zhang
- Department of Pharmacy, Xuanwu Hospital of Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing Engineering Research Center for Nerve System Drugs, Beijing Institute for Brain Disorders, Key Laboratory for Neurodegenerative Diseases of Ministry of Education, Beijing, 100053, China
| | - Ya-Li Li
- Department of Pharmacy, Xuanwu Hospital of Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing Engineering Research Center for Nerve System Drugs, Beijing Institute for Brain Disorders, Key Laboratory for Neurodegenerative Diseases of Ministry of Education, Beijing, 100053, China
| | - Lan Zhang
- Department of Pharmacy, Xuanwu Hospital of Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing Engineering Research Center for Nerve System Drugs, Beijing Institute for Brain Disorders, Key Laboratory for Neurodegenerative Diseases of Ministry of Education, Beijing, 100053, China
| | - Lin Li
- Department of Pharmacy, Xuanwu Hospital of Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing Engineering Research Center for Nerve System Drugs, Beijing Institute for Brain Disorders, Key Laboratory for Neurodegenerative Diseases of Ministry of Education, Beijing, 100053, China.
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Yu C, Lu W, Qiu J, Wang F, Li J, Wang L. Alterations of the Whole Cerebral Blood Flow in Patients With Different Total Cerebral Small Vessel Disease Burden. Front Aging Neurosci 2020; 12:175. [PMID: 32655393 PMCID: PMC7324936 DOI: 10.3389/fnagi.2020.00175] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Accepted: 05/19/2020] [Indexed: 12/18/2022] Open
Abstract
Background Cerebral small vessel disease (CSVD) is a common age-related vascular disease of the brain associated with slowly accumulating tissue damage. At present, total CSVD burden score is a commonly used method to evaluate the severity of the disease. Purpose To observe whether global and regional cerebral perfusion is related to total CSVD score and to explore global and regional cerebral blood flow (CBF) changes in patients with different degrees of CSVD. Methods We collected 130 subjects with different total burden score of CSVD (0 point: 33 subjects, 1 point: 39 subjects, 2 points: 24 subjects, 3 points: 24 subjects, 4 points: 10 subjects). Total CSVD burden score was evaluated by clinically routine sequences (T2WI, T2-FLAIR, T1WI, DWI, and SWAN sequence). Global and regional CBF were calculated and correlation analysis was used to investigate the relationship between total CSVD score and CBF of the whole brain and several brain regions. Results The analysis results showed that there was a negative correlation between total CSVD burden score and global CBF (r = −0.33, p = 0.001). Total CSVD burden score also had moderately negative correlations with CBF of almost all the brain regions. Conclusion CSVD is a disease that affects the whole brain. With the increase of total CSVD burden score, the global and regional CBF decreased. The CSVD total burden score could be used to evaluate the overall condition of brain perfusion.
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Affiliation(s)
- Chunyan Yu
- Department of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an, China
| | - Weizhao Lu
- Department of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an, China
| | - Jianfeng Qiu
- Department of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an, China
| | - Feng Wang
- The Second Affiliated Hospital of Shandong First Medical University, Tai'an, China
| | | | - Liru Wang
- Department of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an, China
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Zhang H, Cui Y, Zhao Y, Dong Y, Wang J, Duan D, Ji T, Zhou T, Hu W, Chen Y, Sun S, Gong G, Chai Q, Liu Z. Association of Circadian Rhythm of Blood Pressure and Cerebral Small Vessel Disease in Community-Based Elderly Population. J Gerontol A Biol Sci Med Sci 2020; 74:1322-1330. [PMID: 30252020 DOI: 10.1093/gerona/gly212] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2018] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Although it is accepted that the etiology of cerebral small vessel disease (CSVD) is associated with cardiovascular risk factors, the association between CSVD and the circadian rhythm of blood pressure (BP) is unclear. We aimed to determine if such an association existed in the elderly population. METHOD White matter hyperintensities (WMHs), lacunes, microbleeds, nocturnal dipping pattern (NDP), and morning surge in systolic blood pressure (SBP) were assessed in 2,091 participants ≥60 years of age. RESULTS During an average of 63 months of follow-up, WMH and the WMH-to-intracranial volume ratio were significantly increased in extreme dippers, nondippers, and reverse dippers than those in dippers (p < .001). For new-incident Fazekas scale ≥2, the hazard ratios were 1.77 (95% confidence interval [CI], 1.09-2.86) for extreme dippers, 2.20 (95% CI, 1.48-3.28) for nondippers, and 2.43 (95% CI, 1.59-3.70) for reverse dippers compared with dippers, and 1.04 (95% CI, 0.81-1.35) for higher morning surge compared with lower morning surge. Nondippers and reverse dippers were associated with higher risks of new-incident lacunes and microbleeds than dippers (p < .05). Higher morning surge was associated with a higher risk of new-incident microbleeds than lower morning surge (p < .05). CONCLUSION NDPs in SBP played an important role in CSVD, and the morning surge in SBP was associated with cerebral microbleeds in community-based elderly population beyond the average SBP level.
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Affiliation(s)
- Hua Zhang
- Cardio-Cerebrovascular Control and Research Center, Institute of Basic Medicine, Shandong Academy of Medical Sciences, China
| | - Yi Cui
- Department of Radiology, Qilu Hospital of Shandong University, China
| | - Yingxin Zhao
- Cardio-Cerebrovascular Control and Research Center, Institute of Basic Medicine, Shandong Academy of Medical Sciences, China
| | - Yuanli Dong
- Department of Community, Lanshan District People Hospital, Shandong, China
| | - Juan Wang
- Department of Cardiology, The Second Hospital of Shandong University, China
| | - Dandan Duan
- Cardio-Cerebrovascular Control and Research Center, Institute of Basic Medicine, Shandong Academy of Medical Sciences, China
| | - Tiantian Ji
- Cardio-Cerebrovascular Control and Research Center, Institute of Basic Medicine, Shandong Academy of Medical Sciences, China.,School of Medicine and Life Sciences, University of Jinan-Shandong Academy of Medical Sciences, China
| | - Tingting Zhou
- Cardio-Cerebrovascular Control and Research Center, Institute of Basic Medicine, Shandong Academy of Medical Sciences, China.,School of Medicine and Life Sciences, University of Jinan-Shandong Academy of Medical Sciences, China
| | - Wenjing Hu
- Cardio-Cerebrovascular Control and Research Center, Institute of Basic Medicine, Shandong Academy of Medical Sciences, China.,School of Medicine and Life Sciences, University of Jinan-Shandong Academy of Medical Sciences, China
| | - Yali Chen
- Cardio-Cerebrovascular Control and Research Center, Institute of Basic Medicine, Shandong Academy of Medical Sciences, China.,School of Medicine and Life Sciences, University of Jinan-Shandong Academy of Medical Sciences, China
| | - Shangwen Sun
- Cardio-Cerebrovascular Control and Research Center, Institute of Basic Medicine, Shandong Academy of Medical Sciences, China
| | - Gary Gong
- The Russel H. Morgan Department of Radiology and Radiological Sciences, the Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Qiang Chai
- Cardio-Cerebrovascular Control and Research Center, Institute of Basic Medicine, Shandong Academy of Medical Sciences, China
| | - Zhendong Liu
- Cardio-Cerebrovascular Control and Research Center, Institute of Basic Medicine, Shandong Academy of Medical Sciences, China
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Epimedium flavonoids improve cognitive impairment and white matter lesions induced by chronic cerebral hypoperfusion through inhibiting the Lingo-1/Fyn/ROCK pathway and activating the BDNF/NRG1/PI3K pathway in rats. Brain Res 2020; 1743:146902. [PMID: 32446949 DOI: 10.1016/j.brainres.2020.146902] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2020] [Revised: 05/09/2020] [Accepted: 05/18/2020] [Indexed: 01/24/2023]
Abstract
Chronic cerebral hypoperfusion is a common cause of cerebral small vascular disease (CSVD). White matter (WM) lesions are the typical pathological manifestation of CSVD and contribute to cognitive decline. Epimedium flavonoids (EF) are the main component in Epimedium brevicornu Maxim., which is commonly used in traditional Chinese medicine. The purpose of this study was to investigate the effects of EF on cognitive impairment and the underlying mechanisms in a CSVD rat model induced with chronic cerebral hypoperfusion. The model was established by permanent bilateral common carotid artery occlusion (2VO) in rats. EF (50, 100, and 200 mg/kg) was intragastrically administered once a day for 12 weeks starting 2 weeks after 2VO surgery. The learning and memory capacity of the rats were measured using the Morris water maze and step-through tests. WM lesions were observed by MRI-diffusion tensor imaging, transmission electron microscopy, and LFB staining. Oligodendrocytes were detected by immunohistochemistry. Western blotting assay was used to determine the level of protein expression. The results showed that EF significantly improved learning and memory impairment, alleviated WM nerve fiber injuries and demyelination, and increased the number of mature oligodendrocytes in the corpus callosum, subcortical WM, and periventricular WM in 2VO rats. Mechanistically, EF reduced the expression of Lingo-1 and ROCK2 and increased the levels of phosphorylated (p-) Fyn, brain-derived neurotrophic factor (BDNF), TrkB, neuregulin-1 (NRG-1), p-ErbB4, PI3K p85 and p110α, p-Akt, and p-CREB in the corpus callosum of 2VO rats. These results suggest that EF may improve cognitive impairment and WM lesions induced by chronic cerebral hypoperfusion through inhibiting the Lingo-1/Fyn/ROCK pathway and activating the BDNF/TrkB, NRG-1/ErbB4, and the downstream PI3K/Akt/CREB pathways in WM. Thus, EF can be used as a potential neuroprotective agent in CSVD therapy.
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Cao S, Zhang J, Wang Z, Pan W, Tian Y, Hu P, Wei Q, Wang J, Shi X, Wang K. Laterality of Attentional Networks in Patients With Cerebral Small Vessel Disease. Front Aging Neurosci 2020; 12:21. [PMID: 32265683 PMCID: PMC7098913 DOI: 10.3389/fnagi.2020.00021] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2019] [Accepted: 01/21/2020] [Indexed: 12/28/2022] Open
Abstract
Introduction: Problems with attention are common in patients with cerebral small vessel disease (CSVD). The normal human brain exhibits functional and structural asymmetry. However, it is unknown whether there is lateralization of attention in patients with CSVD. Objective: This study aims to investigate attention separately in both cerebral hemispheres in patients with CSVD using the computer-based Lateralized Attention Network Test-Revised (LANT-R). Methods: The total number of subjects included was 58, which includes the CSVD (N = 35) and healthy control (HC, N = 23) groups. All subjects completed the LANT-R paradigm and neuropsychological background tests. Results: The results indicate that there is an left hemisphere (LH) lateralization in orienting network efficiency in the HC group. However, this lateralization was not apparent in the CSVD group. Furthermore, the difference between groups was significant (interaction P = 0.02). In addition, the scores of subjects in the CSVD group are lower in several cognitive domains, including attention function, memory function, information processing speed, and executive function, compared with the controls. Conclusion: Patients with CSVD change in the lateralization of attention compared with the normal elderly. The decrease in attention in patients with CSVD might be caused by the reduced ability of selecting useful information in the LH.
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Affiliation(s)
- Shanshan Cao
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China
| | - Jun Zhang
- Department of Neurology, The Second Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Zhiqi Wang
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China
| | - Wen Pan
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China
| | - Yanghua Tian
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China
- Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, China
| | - Panpan Hu
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China
- Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, China
| | - Qiang Wei
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China
- Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, China
| | - Jingye Wang
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Xiuli Shi
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Kai Wang
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China
- Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, China
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Rosenich E, Hordacre B, Paquet C, Koblar SA, Hillier SL. Cognitive Reserve as an Emerging Concept in Stroke Recovery. Neurorehabil Neural Repair 2020; 34:187-199. [PMID: 32089097 DOI: 10.1177/1545968320907071] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
Stroke is a leading cause of death and disability. It is a complex and largely heterogeneous condition. Prognosis for variations in impairment and recovery following stroke continues to be challenging and inaccurate, highlighting the need to examine the influence of other currently unknown variables to better predict and understand interindividual differences in stroke impairment and recovery. The concept of "cognitive reserve," a feature of brain function said to moderate the relationship between brain pathology and clinical outcomes, might provide a partial explanation. This review discusses the potential significance of cognitive reserve in the context of stroke, with reference to reduced burden of disability poststroke, health promotion, intervention and secondary prevention of cognitive impairment, ease and challenges of translation into clinical practice, prognosis and prediction of recovery, and clinical decisions and trial stratification. Discussions from the review aim to encourage stroke clinicians and researchers to better consider the role of premorbid, lifestyle-related variables, such as cognitive reserve, in facilitating successful neurological outcomes and recovery following stroke.
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Affiliation(s)
- Emily Rosenich
- University of South Australia, Adelaide, South Australia, Australia
| | - Brenton Hordacre
- University of South Australia, Adelaide, South Australia, Australia
| | - Catherine Paquet
- University of South Australia, Adelaide, South Australia, Australia
| | - Simon A Koblar
- University of Adelaide, Adelaide, South Australia, Australia
| | - Susan L Hillier
- University of South Australia, Adelaide, South Australia, Australia
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Ter Telgte A, van Leijsen EMC, Wiegertjes K, Klijn CJM, Tuladhar AM, de Leeuw FE. Cerebral small vessel disease: from a focal to a global perspective. Nat Rev Neurol 2019; 14:387-398. [PMID: 29802354 DOI: 10.1038/s41582-018-0014-y] [Citation(s) in RCA: 344] [Impact Index Per Article: 57.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
Cerebral small vessel disease (SVD) is commonly observed on neuroimaging among elderly individuals and is recognized as a major vascular contributor to dementia, cognitive decline, gait impairment, mood disturbance and stroke. However, clinical symptoms are often highly inconsistent in nature and severity among patients with similar degrees of SVD on brain imaging. Here, we provide a new framework based on new advances in structural and functional neuroimaging that aims to explain the remarkable clinical variation in SVD. First, we discuss the heterogeneous pathology present in SVD lesions despite an identical appearance on imaging and the perilesional and remote effects of these lesions. We review effects of SVD on structural and functional connectivity in the brain, and we discuss how network disruption by SVD can lead to clinical deficits. We address reserve and compensatory mechanisms in SVD and discuss the part played by other age-related pathologies. Finally, we conclude that SVD should be considered a global rather than a focal disease, as the classically recognized focal lesions affect remote brain structures and structural and functional network connections. The large variability in clinical symptoms among patients with SVD can probably be understood by taking into account the heterogeneity of SVD lesions, the effects of SVD beyond the focal lesions, the contribution of neurodegenerative pathologies other than SVD, and the interaction with reserve mechanisms and compensatory mechanisms.
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Affiliation(s)
- Annemieke Ter Telgte
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Donders Centre for Medical Neuroscience, Radboud University Medical Center, Nijmegen, Netherlands
| | - Esther M C van Leijsen
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Donders Centre for Medical Neuroscience, Radboud University Medical Center, Nijmegen, Netherlands
| | - Kim Wiegertjes
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Donders Centre for Medical Neuroscience, Radboud University Medical Center, Nijmegen, Netherlands
| | - Catharina J M Klijn
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Donders Centre for Medical Neuroscience, Radboud University Medical Center, Nijmegen, Netherlands
| | - Anil M Tuladhar
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Donders Centre for Medical Neuroscience, Radboud University Medical Center, Nijmegen, Netherlands
| | - Frank-Erik de Leeuw
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Donders Centre for Medical Neuroscience, Radboud University Medical Center, Nijmegen, Netherlands.
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45
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Peng D, Geriatric Neurology Group, Chinese Society of Geriatrics. Clinical practice guideline for cognitive impairment of cerebral small vessel disease. Aging Med (Milton) 2019; 2:64-73. [PMID: 31942514 PMCID: PMC6880706 DOI: 10.1002/agm2.12073] [Citation(s) in RCA: 52] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2019] [Accepted: 05/29/2019] [Indexed: 11/22/2022] Open
Abstract
Cognitive impairment of cerebral small vessel disease (CSVD) is one of the most common cognitive disorders. It has a high incidence and results in heavy social burden; thus, it is essential to provide reasonable diagnosis and treatment in clinical practice. Based on the results of clinical research and related reports, combined with the actual situation in China, we propose a diagnosis and treatment guideline for cognitive impairment of CSVD.
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Affiliation(s)
- Dantao Peng
- Department of NeurologyChina‐Japan Friendship HospitalBeijingChina
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46
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Passiak BS, Liu D, Kresge HA, Cambronero FE, Pechman KR, Osborn KE, Gifford KA, Hohman TJ, Schrag MS, Davis LT, Jefferson AL. Perivascular spaces contribute to cognition beyond other small vessel disease markers. Neurology 2019; 92:e1309-e1321. [PMID: 30814324 PMCID: PMC6511092 DOI: 10.1212/wnl.0000000000007124] [Citation(s) in RCA: 66] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2018] [Accepted: 11/13/2018] [Indexed: 01/28/2023] Open
Abstract
OBJECTIVE To cross-sectionally relate multiple small vessel disease (SVD) neuroimaging markers to cognition among older adults. METHODS Vanderbilt Memory & Aging Project participants free of clinical dementia and stroke (n = 327, age 73 ± 7 years, 59% male, 40% with mild cognitive impairment) completed neuropsychological assessment and 3T MRI to measure white matter hyperintensities (WMH), perivascular spaces (PVS), cerebral microbleeds (CMBs), and lacunes. Linear regressions related each SVD marker to neuropsychological performances and adjusted for age, sex, race/ethnicity, education, cognitive diagnosis, APOE ε4 presence, Framingham Stroke Risk Profile, and intracranial volume. RESULTS WMH related to the most neuropsychological measures, including the Boston Naming Test, Animal Naming, Coding, Number Sequencing, Executive Function Composite, and Hooper Visual Organization Test performances (p ≤ 0.01). PVS related to multiple information processing and executive function performances (p ≤ 0.02). Lacunes and CMBs related to fewer measures than expected. Combined models simultaneously testing multiple statistically significant SVD predictors suggested that WMH, PVS, and CMBs each independently related to information processing and executive function performances; however, compared to other SVD markers, PVS remained statistically significant in models related to information processing and executive functioning performances. CONCLUSIONS As expected, increased WMH corresponded to poorer performances across multiple cognitive domains. PVS, previously considered a benign neuroimaging feature in older adults, may have important clinical implications because PVS was related to information processing and executive function performances even in combined models. On the basis of models with multiple SVD predictors, WMH, PVS, and CMBs may each reflect a separate pathway of small vessel injury.
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Affiliation(s)
- Brittany S Passiak
- From the Vanderbilt Memory & Alzheimer's Center (B.S.P., D.L., H.A.K., F.E.C., K.R.P., K.E.O., K.A.G., T.J.H., M.S.S., A.L.J.), Department of Neurology (K.R.P., K.E.O., K.A.G., T.J.H., M.S.S., A.L.J.), Department of Biostatistics (D.L.), and Radiology & Radiological Sciences (L.T.D.), Vanderbilt University Medical Center; and Vanderbilt University School of Medicine (B.S.P.), Nashville, TN
| | - Dandan Liu
- From the Vanderbilt Memory & Alzheimer's Center (B.S.P., D.L., H.A.K., F.E.C., K.R.P., K.E.O., K.A.G., T.J.H., M.S.S., A.L.J.), Department of Neurology (K.R.P., K.E.O., K.A.G., T.J.H., M.S.S., A.L.J.), Department of Biostatistics (D.L.), and Radiology & Radiological Sciences (L.T.D.), Vanderbilt University Medical Center; and Vanderbilt University School of Medicine (B.S.P.), Nashville, TN
| | - Hailey A Kresge
- From the Vanderbilt Memory & Alzheimer's Center (B.S.P., D.L., H.A.K., F.E.C., K.R.P., K.E.O., K.A.G., T.J.H., M.S.S., A.L.J.), Department of Neurology (K.R.P., K.E.O., K.A.G., T.J.H., M.S.S., A.L.J.), Department of Biostatistics (D.L.), and Radiology & Radiological Sciences (L.T.D.), Vanderbilt University Medical Center; and Vanderbilt University School of Medicine (B.S.P.), Nashville, TN
| | - Francis E Cambronero
- From the Vanderbilt Memory & Alzheimer's Center (B.S.P., D.L., H.A.K., F.E.C., K.R.P., K.E.O., K.A.G., T.J.H., M.S.S., A.L.J.), Department of Neurology (K.R.P., K.E.O., K.A.G., T.J.H., M.S.S., A.L.J.), Department of Biostatistics (D.L.), and Radiology & Radiological Sciences (L.T.D.), Vanderbilt University Medical Center; and Vanderbilt University School of Medicine (B.S.P.), Nashville, TN
| | - Kimberly R Pechman
- From the Vanderbilt Memory & Alzheimer's Center (B.S.P., D.L., H.A.K., F.E.C., K.R.P., K.E.O., K.A.G., T.J.H., M.S.S., A.L.J.), Department of Neurology (K.R.P., K.E.O., K.A.G., T.J.H., M.S.S., A.L.J.), Department of Biostatistics (D.L.), and Radiology & Radiological Sciences (L.T.D.), Vanderbilt University Medical Center; and Vanderbilt University School of Medicine (B.S.P.), Nashville, TN
| | - Katie E Osborn
- From the Vanderbilt Memory & Alzheimer's Center (B.S.P., D.L., H.A.K., F.E.C., K.R.P., K.E.O., K.A.G., T.J.H., M.S.S., A.L.J.), Department of Neurology (K.R.P., K.E.O., K.A.G., T.J.H., M.S.S., A.L.J.), Department of Biostatistics (D.L.), and Radiology & Radiological Sciences (L.T.D.), Vanderbilt University Medical Center; and Vanderbilt University School of Medicine (B.S.P.), Nashville, TN
| | - Katherine A Gifford
- From the Vanderbilt Memory & Alzheimer's Center (B.S.P., D.L., H.A.K., F.E.C., K.R.P., K.E.O., K.A.G., T.J.H., M.S.S., A.L.J.), Department of Neurology (K.R.P., K.E.O., K.A.G., T.J.H., M.S.S., A.L.J.), Department of Biostatistics (D.L.), and Radiology & Radiological Sciences (L.T.D.), Vanderbilt University Medical Center; and Vanderbilt University School of Medicine (B.S.P.), Nashville, TN
| | - Timothy J Hohman
- From the Vanderbilt Memory & Alzheimer's Center (B.S.P., D.L., H.A.K., F.E.C., K.R.P., K.E.O., K.A.G., T.J.H., M.S.S., A.L.J.), Department of Neurology (K.R.P., K.E.O., K.A.G., T.J.H., M.S.S., A.L.J.), Department of Biostatistics (D.L.), and Radiology & Radiological Sciences (L.T.D.), Vanderbilt University Medical Center; and Vanderbilt University School of Medicine (B.S.P.), Nashville, TN
| | - Matthew S Schrag
- From the Vanderbilt Memory & Alzheimer's Center (B.S.P., D.L., H.A.K., F.E.C., K.R.P., K.E.O., K.A.G., T.J.H., M.S.S., A.L.J.), Department of Neurology (K.R.P., K.E.O., K.A.G., T.J.H., M.S.S., A.L.J.), Department of Biostatistics (D.L.), and Radiology & Radiological Sciences (L.T.D.), Vanderbilt University Medical Center; and Vanderbilt University School of Medicine (B.S.P.), Nashville, TN
| | - L Taylor Davis
- From the Vanderbilt Memory & Alzheimer's Center (B.S.P., D.L., H.A.K., F.E.C., K.R.P., K.E.O., K.A.G., T.J.H., M.S.S., A.L.J.), Department of Neurology (K.R.P., K.E.O., K.A.G., T.J.H., M.S.S., A.L.J.), Department of Biostatistics (D.L.), and Radiology & Radiological Sciences (L.T.D.), Vanderbilt University Medical Center; and Vanderbilt University School of Medicine (B.S.P.), Nashville, TN
| | - Angela L Jefferson
- From the Vanderbilt Memory & Alzheimer's Center (B.S.P., D.L., H.A.K., F.E.C., K.R.P., K.E.O., K.A.G., T.J.H., M.S.S., A.L.J.), Department of Neurology (K.R.P., K.E.O., K.A.G., T.J.H., M.S.S., A.L.J.), Department of Biostatistics (D.L.), and Radiology & Radiological Sciences (L.T.D.), Vanderbilt University Medical Center; and Vanderbilt University School of Medicine (B.S.P.), Nashville, TN.
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Emanuel AL, van Duinkerken E, Wattjes MP, Klein M, Barkhof F, Snoek FJ, Diamant M, Eringa EC, IJzerman RG, Serné EH. The presence of cerebral white matter lesions and lower skin microvascular perfusion predicts lower cognitive performance in type 1 diabetes patients with retinopathy but not in healthy controls-A longitudinal study. Microcirculation 2019; 26:e12530. [PMID: 30659710 PMCID: PMC6593465 DOI: 10.1111/micc.12530] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2018] [Revised: 01/07/2019] [Accepted: 01/15/2019] [Indexed: 12/25/2022]
Abstract
OBJECTIVE Cognitive impairments in type 1 diabetes may result from hyperglycemia-associated cerebral microangiopathy. We aimed to identify cerebral microangiopathy and skin microvascular dysfunction-as a surrogate marker for generalized microvascular function-as predictors of cognitive performance over time. METHODS In this prospective cohort study, 25 type 1 diabetes patients with proliferative retinopathy and 25 matched healthy controls underwent neurocognitive testing at baseline and after follow-up (3.8 ± 0.8 years). At baseline, 1.5-T cerebral magnetic resonance imaging was used to detect WML and cerebral microbleeds. Skin capillary perfusion was assessed by means of capillary microscopy. RESULTS In type 1 diabetes patients, but not in healthy controls, the presence of WML (ß = -0.419; P = 0.037) as well as lower skin capillary perfusion (baseline: ß = 0.753; P < 0.001; peak hyperemia: ß = 0.743; P = 0.001; venous occlusion: ß = 0.675; P = 0.003; capillary recruitment: ß = 0.549; P = 0.022) at baseline was associated with lower cognitive performance over time, independent of age, sex, HbA1c, and severe hypoglycemia. The relationship between WML and lower cognitive performance was significantly reduced after adjusting for capillary perfusion. CONCLUSIONS These data fit the hypothesis that cerebral microangiopathy is a manifestation of generalized microvascular dysfunction, leading to lower cognitive performance.
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Affiliation(s)
- Anna L Emanuel
- Diabetes Center, Department of Internal Medicine, Amsterdam University Medical Center, Amsterdam, The Netherlands.,Department of Internal Medicine, Amstelland Hospital, Amstelveen, The Netherlands
| | - Eelco van Duinkerken
- Diabetes Center, Department of Internal Medicine, Amsterdam University Medical Center, Amsterdam, The Netherlands.,Department of Internal Medicine, Amstelland Hospital, Amstelveen, The Netherlands
| | - Mike P Wattjes
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam, The Netherlands.,Department of Diagnostic and Interventional Neuroradiology, Hannover Medical School, Hannover, Germany
| | - Martin Klein
- Department of Medical Psychology, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Frank J Snoek
- Department of Medical Psychology, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Michaela Diamant
- Diabetes Center, Department of Internal Medicine, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Etto C Eringa
- Department of Physiology, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Richard G IJzerman
- Diabetes Center, Department of Internal Medicine, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Erik H Serné
- Diabetes Center, Department of Internal Medicine, Amsterdam University Medical Center, Amsterdam, The Netherlands
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Lampe L, Kharabian-Masouleh S, Kynast J, Arelin K, Steele CJ, Löffler M, Witte AV, Schroeter ML, Villringer A, Bazin PL. Lesion location matters: The relationships between white matter hyperintensities on cognition in the healthy elderly. J Cereb Blood Flow Metab 2019; 39:36-43. [PMID: 29106319 PMCID: PMC6311671 DOI: 10.1177/0271678x17740501] [Citation(s) in RCA: 123] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
White matter hyperintensities (WMH) are associated with cognitive decline. We aimed to identify the spatial specificity of WMH impact on cognition in non-demented, healthy elderly. We quantified WMH volume among healthy participants of a community dwelling cohort ( n = 702, age range 60 - 82 years, mean age = 69.5 years, 46% female) and investigated the effects of WMH on cognition and behavior, specifically for executive function, memory, and motor speed performance. Lesion location influenced their effect on cognition and behavior: Frontal WMH in the proximity of the frontal ventricles mainly affected executive function and parieto-temporal WMH in the proximity of the posterior horns deteriorated memory, while WMH in the upper deep white matter-including the corticospinal tract-compromised motor speed performance. This study exposes the subtle and subclinical yet detrimental effects of WMH on cognition in healthy elderly, and strongly suggests a causal influence of WMH on cognition by demonstrating the spatial specificity of these effects.
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Affiliation(s)
- Leonie Lampe
- 1 Department of Neurology, Max-Planck-Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.,2 Clinic of Cognitive Neurology, University Hospital Leipzig, Leipzig, Germany
| | | | - Jana Kynast
- 1 Department of Neurology, Max-Planck-Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Katrin Arelin
- 1 Department of Neurology, Max-Planck-Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Christopher J Steele
- 1 Department of Neurology, Max-Planck-Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.,3 Cerebral Imaging Centre, Douglas Mental Health University Institute, McGill University, QC, Canada
| | - Markus Löffler
- 4 Institute for Medical Informatics, Statistics, and Epidemiology (IMISE), University of Leipzig, Leipzig, Germany
| | - A Veronica Witte
- 1 Department of Neurology, Max-Planck-Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Matthias L Schroeter
- 1 Department of Neurology, Max-Planck-Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.,2 Clinic of Cognitive Neurology, University Hospital Leipzig, Leipzig, Germany
| | - Arno Villringer
- 1 Department of Neurology, Max-Planck-Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.,2 Clinic of Cognitive Neurology, University Hospital Leipzig, Leipzig, Germany
| | - Pierre-Louis Bazin
- 1 Department of Neurology, Max-Planck-Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
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49
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Zhao W, Li S, Ren C, Meng R, Jin K, Ji X. Remote ischemic conditioning for stroke: clinical data, challenges, and future directions. Ann Clin Transl Neurol 2018; 6:186-196. [PMID: 30656197 PMCID: PMC6331204 DOI: 10.1002/acn3.691] [Citation(s) in RCA: 44] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2018] [Revised: 10/11/2018] [Accepted: 10/15/2018] [Indexed: 12/25/2022] Open
Abstract
Despite great improvement during the past several decades, the management of stroke is still far from satisfactory, which warrants alternative or adjunctive strategies. Remote ischemic conditioning (RIC), an easy‐to‐use and noninvasive therapy, can be performed in various clinical scenarios (e.g., prehospital transportation, intrahospital, and at home), and it has been widely investigated for stroke management. RIC has been demonstrated to be well tolerated in patients with acute ischemic stroke and aneurysm subarachnoid hemorrhage, and it may benefit these patients by improving clinical outcomes; in patients with intracranial atherosclerosis, long‐term repeated RIC could be safely performed and benefit patients by reducing recurrent ischemic stroke and transient ischemic attack, as well as improving cerebral perfusion status; long‐term repeated RIC may also benefit patients with cerebral small vessel disease by slowing cognitive decline and reducing volume of white matter hyperintensities on brain MRI; in patients with severe carotid atherosclerotic stenosis undergoing stenting, preprocedural RIC could reduce the odds of new brain lesions on postprocedural MRI. Previous clinical studies suggest broad future prospects of RIC in the field of cerebrovascular diseases. However, the optimal RIC protocol and the mechanisms that RIC protects the brain is not fully clear, and there is lack of sensitive and specific biomarkers of RIC, all these dilemmas prevent RIC from entering clinical practice. This review focuses on recent advances in clinical studies of RIC in stroke management, its challenges, and the potential directions of future studies.
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Affiliation(s)
- Wenbo Zhao
- Department of Neurology Xuanwu Hospital Capital Medical University Beijing China
| | - Sijie Li
- Beijing Key Laboratory of Hypoxic Conditioning Translational Medicine Xuanwu Hospital Capital Medical University Beijing China
| | - Changhong Ren
- Beijing Key Laboratory of Hypoxic Conditioning Translational Medicine Xuanwu Hospital Capital Medical University Beijing China
| | - Ran Meng
- Department of Neurology Xuanwu Hospital Capital Medical University Beijing China
| | - Kunlin Jin
- Beijing Key Laboratory of Hypoxic Conditioning Translational Medicine Xuanwu Hospital Capital Medical University Beijing China.,Center for Neuroscience Discovery Institute for Healthy Aging University of North Texas Health Science Center Fort Worth Texas
| | - Xunming Ji
- Beijing Key Laboratory of Hypoxic Conditioning Translational Medicine Xuanwu Hospital Capital Medical University Beijing China.,Department of Neurosurgery Xuanwu Hospital Capital Medical University Beijing China
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50
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Affiliation(s)
- Elisabeth B Marsh
- From Neurology (E.B.M.), Johns Hopkins University School of Medicine, Baltimore, MD; and Neurology (F.F.), Medical University of Graz, Austria.
| | - Franz Fazekas
- From Neurology (E.B.M.), Johns Hopkins University School of Medicine, Baltimore, MD; and Neurology (F.F.), Medical University of Graz, Austria
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