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Dumais F, Caceres MP, Janelle F, Seifeldine K, Arès-Bruneau N, Gutierrez J, Bocti C, Whittingstall K. eICAB: A novel deep learning pipeline for Circle of Willis multiclass segmentation and analysis. Neuroimage 2022; 260:119425. [PMID: 35809887 DOI: 10.1016/j.neuroimage.2022.119425] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Revised: 05/22/2022] [Accepted: 06/29/2022] [Indexed: 01/25/2023] Open
Abstract
BACKGROUND The accurate segmentation, labeling and quantification of cerebral blood vessels on MR imaging is important for basic and clinical research, yet results are not generalizable, and often require user intervention. New methods are needed to automate this process. PURPOSE To automatically segment, label and quantify Circle of Willis (CW) arteries on Magnetic Resonance Angiography images using deep convolutional neural networks. MATERIALS AND METHODS MRA images were pooled from three public and private databases. A total of 116 subjects (mean age 56 years ± 21 [standard deviation]; 72 women) were used to make up the training set (N=101) and the testing set (N=15). In each image, fourteen arterial segments making up or surrounding the CW were manually annotated and validated by a clinical expert. Convolutional neural network (CNN) models were trained on a training set to be finally combined in an ensemble to develop eICAB. Model performances were evaluated using (1) quantitative analysis (dice score on test set) and (2) qualitative analysis (external datasets, N=121). The reliability was assessed using multiple MRAs of healthy participants (ICC of vessel diameters and volumes on test-retest). RESULTS Qualitative analysis showed that eICAB correctly predicted the large, medium and small arteries in 99±0.4%, 97±1% and 88±7% of all images, respectively. For quantitative assessment, the average dice score coefficients for the large (ICAs, BA), medium (ACAs, MCAs, PCAs-P2), and small (AComm, PComm, PCAs-P1) vessels were 0.76±0.07, 0.76±0.08 and 0.41±0.27, respectively. These results were similar and, in some cases, statistically better (p<0.05) than inter-expert annotation variability and robust to image SNR. Finally, test-retest analysis showed that the model yielded high diameter and volume reliability (ICC=0.99). CONCLUSION We have developed a quick and reliable open-source CNN-based method capable of accurately segmenting and labeling the CW in MRA images. This method is largely independent of image quality. In the future, we foresee this approach as a critical step towards fully automated analysis of MRA databases in basic and clinical research.
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Affiliation(s)
- Félix Dumais
- Department of Nuclear Medicine and Radiobiology, Faculty of Medicine and Health Science, Université de Sherbrooke, 3001 12e Avenue N, Sherbrooke, Québec J1H 5H3, Canada.
| | - Marco Perez Caceres
- Department of Nuclear Medicine and Radiobiology, Faculty of Medicine and Health Science, Université de Sherbrooke, 3001 12e Avenue N, Sherbrooke, Québec J1H 5H3, Canada
| | - Félix Janelle
- Department of Nuclear Medicine and Radiobiology, Faculty of Medicine and Health Science, Université de Sherbrooke, 3001 12e Avenue N, Sherbrooke, Québec J1H 5H3, Canada
| | - Kassem Seifeldine
- Department of Nuclear Medicine and Radiobiology, Faculty of Medicine and Health Science, Université de Sherbrooke, 3001 12e Avenue N, Sherbrooke, Québec J1H 5H3, Canada
| | - Noémie Arès-Bruneau
- Department of Medecine, Université de Sherbrooke, Sherbrooke, Québec, Canada
| | - Jose Gutierrez
- Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Christian Bocti
- Department of Medecine, Université de Sherbrooke, Sherbrooke, Québec, Canada; Research Center on Aging, CIUSSS de l'Estrie - CHUS, Sherbrooke, Québec, Canada; Department of Neurology, Université de Sherbrooke, Sherbrooke, Québec, Canada
| | - Kevin Whittingstall
- Department of Radiology, Université de Sherbrooke, Sherbrooke, Québec, Canada
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Gong L, Wang H, Dong Q, Zhu X, Zheng X, Gu Y, Cai W, Zhao Y, Liu X. Intracranial Atherosclerotic Stenosis is Related to Post-stroke Cognitive Impairment: A Cross-sectional Study of Minor Stroke. Curr Alzheimer Res 2021; 17:177-184. [PMID: 32124696 DOI: 10.2174/1567205017666200303141920] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2019] [Revised: 01/30/2020] [Accepted: 03/01/2020] [Indexed: 02/05/2023]
Abstract
BACKGROUND Intracranial Atherosclerotic Stenosis (ICAS) is an important risk factor for cognitive impairment. However, it is unclear whether patients with ICAS are more likely to develop cognitive impairment after an acute, non-disabling ischemic stroke (minor stroke). OBJECTIVE We aimed to investigate the association between ICAS and post-stroke cognitive impairment. METHODS In this cross-sectional study, patients with acute, non-disabling ischemic stroke underwent two cognitive tests and imaging evaluation for ICAS, within two weeks after the stroke. To determine the association between ICAS and post-stroke cognitive impairment, we performed a multivariate logistic regression analysis adjusted for several demographic and vascular risk factors. RESULTS Of the 164 patients with minor stroke in this study, 98 (59.76%) were diagnosed with poststroke cognitive impairment (Montreal Cognitive Assessment score<26). After adjusting for potential confounders, we found that patients with ICAS were more likely to develop cognitive impairment after an acute, non-disabling ischemic stroke, compared to patients without ICAS (Odds Ratio: 2.13; 95% Confidence Interval: 1.07-4.26), and underperformed in the tests of visuospatial and executive function. CONCLUSION In this cross-sectional study of a population that has experienced a minor stroke, our findings demonstrated a positive association between ICAS and post-stroke cognitive impairment.
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Affiliation(s)
- Li Gong
- Department of Neurology, Shanghai Tenth People's Hospital, Tongji University, 301# Middle Yanchang Road, Shanghai 200072, China
| | - Haichao Wang
- Department of Neurology, Shanghai Tenth People's Hospital, Tongji University, 301# Middle Yanchang Road, Shanghai 200072, China
| | - Qiong Dong
- Department of Neurology, Shanghai Tenth People's Hospital, Tongji University, 301# Middle Yanchang Road, Shanghai 200072, China
| | - Xiaoping Zhu
- Department of Neurology, Shanghai Tenth People's Hospital, Tongji University, 301# Middle Yanchang Road, Shanghai 200072, China
| | - Xiaoran Zheng
- Department of Neurology, Shanghai Tenth People's Hospital, Tongji University, 301# Middle Yanchang Road, Shanghai 200072, China
| | - Yongzhe Gu
- Department of Neurology, Shanghai Tenth People's Hospital, Tongji University, 301# Middle Yanchang Road, Shanghai 200072, China
| | - Wangli Cai
- Department of Radiology, Shanghai Tenth People's Hospital, Tongji University, 301# Middle Yanchang Road, Shanghai 200072, China
| | - Yanxin Zhao
- Department of Neurology, Shanghai Tenth People's Hospital, Tongji University, 301# Middle Yanchang Road, Shanghai 200072, China
| | - Xueyuan Liu
- Department of Neurology, Shanghai Tenth People's Hospital, Tongji University, 301# Middle Yanchang Road, Shanghai 200072, China
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Lim MJR, Tan CS, Gyanwali B, Chen C, Hilal S. The effect of intracranial stenosis on cognitive decline in a memory clinic cohort. Eur J Neurol 2021; 28:1829-1839. [PMID: 33630355 DOI: 10.1111/ene.14788] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Revised: 02/20/2021] [Accepted: 02/22/2021] [Indexed: 12/01/2022]
Abstract
BACKGROUND AND PURPOSE Intracranial stenosis (ICS) is a risk factor for cognitive impairment and dementia in cross-sectional studies. However, data examining the effect of ICS on cognitive decline are limited. We investigated the effect of ICS on cognition over a period of 3 years in a memory clinic cohort. METHODS Patients were recruited from the National University Hospital in Singapore. Data were collected using a standardised questionnaire, physical examination, and 3-T magnetic resonance imaging (MRI) at baseline. ICS was defined as arterial narrowing that exceeded 50% of the luminal diameter in any intracranial vessel. Cognition was measured at baseline and annually for 3 years using the Mini-Mental State Examination, the Montreal Cognitive Assessment, and a detailed neuropsychological test battery. The association between ICS and cognitive decline was analysed using generalised estimating equations. RESULTS A total of 364 patients were included in the analysis. The mean (±SD) age was 71.9 (±8.0) years, and 164 (45.1%) patients were male. A total of 66 (18.1%) patients had ICS. ICS was associated with worse executive function (β = -0.37, 95% confidence interval = -0.68 to -0.05, p = 0.022) and modified the effect of follow-up time on memory (p = 0.005) and visuomotor speed (p = 0.047). These results remained significant after controlling for demographics, overall diagnosis, cardiovascular risk factors, and MRI markers of cerebrovascular disease. CONCLUSIONS Intracranial stenosis was independently associated with worse executive function across all time points, and cognitive decline in memory and visuomotor speed over 3 years of follow-up. This suggests that ICS may be a useful indicator of vascular brain damage leading to cognitive decline and may warrant consideration of antiatherosclerotic treatment in clinical trials.
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Affiliation(s)
- Mervyn Jun Rui Lim
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore City, Singapore.,Division of Neurosurgery, National University Health System, University Surgical Centre, Singapore City, Singapore
| | - Chuen Seng Tan
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore City, Singapore
| | - Bibek Gyanwali
- Memory Ageing and Cognition Centre, National University Health System, Singapore City, Singapore.,Department of Pharmacology, National University of Singapore, Singapore City, Singapore
| | - Christopher Chen
- Memory Ageing and Cognition Centre, National University Health System, Singapore City, Singapore.,Department of Pharmacology, National University of Singapore, Singapore City, Singapore
| | - Saima Hilal
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore City, Singapore.,Memory Ageing and Cognition Centre, National University Health System, Singapore City, Singapore.,Department of Pharmacology, National University of Singapore, Singapore City, Singapore
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Hilal S, Xu X, Ikram MK, Vrooman H, Venketasubramanian N, Chen C. Intracranial stenosis in cognitive impairment and dementia. J Cereb Blood Flow Metab 2017; 37:2262-2269. [PMID: 27488908 PMCID: PMC5464715 DOI: 10.1177/0271678x16663752] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Intracranial stenosis is a common vascular lesion observed in Asian and other non-Caucasian stroke populations. However, its role in cognitive impairment and dementia has been under-studied. We, therefore, examined the association of intracranial stenosis with cognitive impairment, dementia and their subtypes in a memory clinic case-control study, where all subjects underwent detailed neuropsychological assessment and 3 T neuroimaging including three-dimensional time-of-flight magnetic resonance angiography. Intracranial stenosis was defined as ≥50% narrowing in any of the intracranial arteries. A total of 424 subjects were recruited of whom 97 were classified as no cognitive impairment, 107 as cognitive impairment no dementia, 70 vascular cognitive impairment no dementia, 121 Alzheimer's Disease, and 30 vascular dementia. Intracranial stenosis was associated with dementia (age/gender/education - adjusted odds ratios (OR): 4.73, 95% confidence interval (CI): 1.93-11.60) and vascular cognitive impairment no dementia (OR: 3.98, 95% CI: 1.59-9.93). These associations were independent of cardiovascular risk factors and MRI markers. However, the association with Alzheimer's Disease and vascular dementia became attenuated in the presence of white matter hyperintensities. Intracranial stenosis is associated with vascular cognitive impairment no dementia independent of MRI markers. In Alzheimer's Disease and vascular dementia, this association is mediated by cerebrovascular disease. Future studies focusing on perfusion and functional markers are needed to determine the pathophysiological mechanism(s) linking intracranial stenosis and cognition so as to identify treatment strategies.
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Affiliation(s)
- Saima Hilal
- 1 Memory Ageing and Cognition Centre (MACC), National University Health System, Singapore, Singapore.,2 Department of Pharmacology, National University of Singapore, Singapore, Singapore
| | - Xin Xu
- 1 Memory Ageing and Cognition Centre (MACC), National University Health System, Singapore, Singapore.,2 Department of Pharmacology, National University of Singapore, Singapore, Singapore
| | - M Kamran Ikram
- 3 Academic Medicine Research Institute, Duke-NUS Graduate Medical School, Singapore, Singapore.,4 Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Henri Vrooman
- 5 Departments of Radiology & Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands
| | | | - Christopher Chen
- 1 Memory Ageing and Cognition Centre (MACC), National University Health System, Singapore, Singapore.,2 Department of Pharmacology, National University of Singapore, Singapore, Singapore
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Dearborn JL, Zhang Y, Qiao Y, Suri MFK, Liu L, Gottesman RF, Rawlings AM, Mosley TH, Alonso A, Knopman DS, Guallar E, Wasserman BA. Intracranial atherosclerosis and dementia: The Atherosclerosis Risk in Communities (ARIC) Study. Neurology 2017; 88:1556-1563. [PMID: 28330958 DOI: 10.1212/wnl.0000000000003837] [Citation(s) in RCA: 70] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2016] [Accepted: 01/24/2017] [Indexed: 02/06/2023] Open
Abstract
OBJECTIVE To explore the association of intracranial atherosclerotic disease (ICAD) with mild cognitive impairment (MCI) and dementia. METHODS From 2011 to 2013, 1,744 participants completed high-resolution vessel wall MRI from the population-based Atherosclerosis Risk in Communities Study by a sampling strategy that allowed weighting back to the cohort. We defined ICAD by plaque features (presence, territory, stenosis, number). Trained clinicians used an algorithm incorporating information from interviews and neuropsychological and neurologic examinations to adjudicate for MCI and dementia. We determined the relative prevalence ratio (RPR) of MCI or dementia after adjusting for risk factors at midlife using multinomial logistic regression. RESULTS A total of 601 (34.5%) participants had MCI (mean age ± SD, 76.6 ± 5.2 years), 83 (4.8%) had dementia (79.1 ± 5.3 years), and 857 (49.1%) were current or former smokers. Anterior cerebral artery (ACA) plaque (adjusted RPR 3.81, 95% confidence interval [CI] 1.57-9.23), >2 territories with plaque (adjusted RPR 2.12, 95% CI 1.00-4.49), and presence of stenosis >50% (adjusted RPR 1.92, 95% CI 1.01-3.65) were associated with increased prevalence of dementia in separate models. Posterior cerebral artery plaque was associated with MCI but did not reach statistical significance for dementia (adjusted RPR MCI 1.43, 95% CI 1.04-1.98; adjusted RPR dementia 1.58, 95% CI 0.79-2.85). There were no associations with middle cerebral artery atherosclerotic lesions or cognitive impairment. Many participants had plaque in >1 territory (n = 291, 46%) and participants with ACA plaques (n = 69) had the greatest number of plaques in other territories (mean 6.0, SD 4.4). CONCLUSIONS This study demonstrates associations between ICAD and clinical MCI and dementia.
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Affiliation(s)
- Jennifer L Dearborn
- From the Department of Neurology (J.L.D.), Yale University School of Medicine, New Haven, CT; Welch Center for Prevention, Epidemiology, and Clinical Research (Y.Z., R.F.G., A.M.R., E.G.), Johns Hopkins Bloomberg School of Public Health; The Russell H. Morgan Department of Radiology and Radiological Sciences (Y.Q., L.L., B.A.W.) and Department of Neurology (R.F.G.), Johns Hopkins University School of Medicine, Baltimore, MD; Department of Neurology (M.F.K.S.), University of Minnesota School of Medicine, Minneapolis; Department of Medicine, Division of Geriatrics (T.H.M.), The University of Mississippi School of Medicine, Jackson; Department of Epidemiology (A.A.), Rollins School of Public Health, Emory University, Atlanta, GA; and Department of Neurology (D.S.K.), The Mayo Clinic, Rochester, MN
| | - Yiyi Zhang
- From the Department of Neurology (J.L.D.), Yale University School of Medicine, New Haven, CT; Welch Center for Prevention, Epidemiology, and Clinical Research (Y.Z., R.F.G., A.M.R., E.G.), Johns Hopkins Bloomberg School of Public Health; The Russell H. Morgan Department of Radiology and Radiological Sciences (Y.Q., L.L., B.A.W.) and Department of Neurology (R.F.G.), Johns Hopkins University School of Medicine, Baltimore, MD; Department of Neurology (M.F.K.S.), University of Minnesota School of Medicine, Minneapolis; Department of Medicine, Division of Geriatrics (T.H.M.), The University of Mississippi School of Medicine, Jackson; Department of Epidemiology (A.A.), Rollins School of Public Health, Emory University, Atlanta, GA; and Department of Neurology (D.S.K.), The Mayo Clinic, Rochester, MN
| | - Ye Qiao
- From the Department of Neurology (J.L.D.), Yale University School of Medicine, New Haven, CT; Welch Center for Prevention, Epidemiology, and Clinical Research (Y.Z., R.F.G., A.M.R., E.G.), Johns Hopkins Bloomberg School of Public Health; The Russell H. Morgan Department of Radiology and Radiological Sciences (Y.Q., L.L., B.A.W.) and Department of Neurology (R.F.G.), Johns Hopkins University School of Medicine, Baltimore, MD; Department of Neurology (M.F.K.S.), University of Minnesota School of Medicine, Minneapolis; Department of Medicine, Division of Geriatrics (T.H.M.), The University of Mississippi School of Medicine, Jackson; Department of Epidemiology (A.A.), Rollins School of Public Health, Emory University, Atlanta, GA; and Department of Neurology (D.S.K.), The Mayo Clinic, Rochester, MN
| | - Muhammad Fareed K Suri
- From the Department of Neurology (J.L.D.), Yale University School of Medicine, New Haven, CT; Welch Center for Prevention, Epidemiology, and Clinical Research (Y.Z., R.F.G., A.M.R., E.G.), Johns Hopkins Bloomberg School of Public Health; The Russell H. Morgan Department of Radiology and Radiological Sciences (Y.Q., L.L., B.A.W.) and Department of Neurology (R.F.G.), Johns Hopkins University School of Medicine, Baltimore, MD; Department of Neurology (M.F.K.S.), University of Minnesota School of Medicine, Minneapolis; Department of Medicine, Division of Geriatrics (T.H.M.), The University of Mississippi School of Medicine, Jackson; Department of Epidemiology (A.A.), Rollins School of Public Health, Emory University, Atlanta, GA; and Department of Neurology (D.S.K.), The Mayo Clinic, Rochester, MN
| | - Li Liu
- From the Department of Neurology (J.L.D.), Yale University School of Medicine, New Haven, CT; Welch Center for Prevention, Epidemiology, and Clinical Research (Y.Z., R.F.G., A.M.R., E.G.), Johns Hopkins Bloomberg School of Public Health; The Russell H. Morgan Department of Radiology and Radiological Sciences (Y.Q., L.L., B.A.W.) and Department of Neurology (R.F.G.), Johns Hopkins University School of Medicine, Baltimore, MD; Department of Neurology (M.F.K.S.), University of Minnesota School of Medicine, Minneapolis; Department of Medicine, Division of Geriatrics (T.H.M.), The University of Mississippi School of Medicine, Jackson; Department of Epidemiology (A.A.), Rollins School of Public Health, Emory University, Atlanta, GA; and Department of Neurology (D.S.K.), The Mayo Clinic, Rochester, MN
| | - Rebecca F Gottesman
- From the Department of Neurology (J.L.D.), Yale University School of Medicine, New Haven, CT; Welch Center for Prevention, Epidemiology, and Clinical Research (Y.Z., R.F.G., A.M.R., E.G.), Johns Hopkins Bloomberg School of Public Health; The Russell H. Morgan Department of Radiology and Radiological Sciences (Y.Q., L.L., B.A.W.) and Department of Neurology (R.F.G.), Johns Hopkins University School of Medicine, Baltimore, MD; Department of Neurology (M.F.K.S.), University of Minnesota School of Medicine, Minneapolis; Department of Medicine, Division of Geriatrics (T.H.M.), The University of Mississippi School of Medicine, Jackson; Department of Epidemiology (A.A.), Rollins School of Public Health, Emory University, Atlanta, GA; and Department of Neurology (D.S.K.), The Mayo Clinic, Rochester, MN
| | - Andreea M Rawlings
- From the Department of Neurology (J.L.D.), Yale University School of Medicine, New Haven, CT; Welch Center for Prevention, Epidemiology, and Clinical Research (Y.Z., R.F.G., A.M.R., E.G.), Johns Hopkins Bloomberg School of Public Health; The Russell H. Morgan Department of Radiology and Radiological Sciences (Y.Q., L.L., B.A.W.) and Department of Neurology (R.F.G.), Johns Hopkins University School of Medicine, Baltimore, MD; Department of Neurology (M.F.K.S.), University of Minnesota School of Medicine, Minneapolis; Department of Medicine, Division of Geriatrics (T.H.M.), The University of Mississippi School of Medicine, Jackson; Department of Epidemiology (A.A.), Rollins School of Public Health, Emory University, Atlanta, GA; and Department of Neurology (D.S.K.), The Mayo Clinic, Rochester, MN
| | - Thomas H Mosley
- From the Department of Neurology (J.L.D.), Yale University School of Medicine, New Haven, CT; Welch Center for Prevention, Epidemiology, and Clinical Research (Y.Z., R.F.G., A.M.R., E.G.), Johns Hopkins Bloomberg School of Public Health; The Russell H. Morgan Department of Radiology and Radiological Sciences (Y.Q., L.L., B.A.W.) and Department of Neurology (R.F.G.), Johns Hopkins University School of Medicine, Baltimore, MD; Department of Neurology (M.F.K.S.), University of Minnesota School of Medicine, Minneapolis; Department of Medicine, Division of Geriatrics (T.H.M.), The University of Mississippi School of Medicine, Jackson; Department of Epidemiology (A.A.), Rollins School of Public Health, Emory University, Atlanta, GA; and Department of Neurology (D.S.K.), The Mayo Clinic, Rochester, MN
| | - Alvaro Alonso
- From the Department of Neurology (J.L.D.), Yale University School of Medicine, New Haven, CT; Welch Center for Prevention, Epidemiology, and Clinical Research (Y.Z., R.F.G., A.M.R., E.G.), Johns Hopkins Bloomberg School of Public Health; The Russell H. Morgan Department of Radiology and Radiological Sciences (Y.Q., L.L., B.A.W.) and Department of Neurology (R.F.G.), Johns Hopkins University School of Medicine, Baltimore, MD; Department of Neurology (M.F.K.S.), University of Minnesota School of Medicine, Minneapolis; Department of Medicine, Division of Geriatrics (T.H.M.), The University of Mississippi School of Medicine, Jackson; Department of Epidemiology (A.A.), Rollins School of Public Health, Emory University, Atlanta, GA; and Department of Neurology (D.S.K.), The Mayo Clinic, Rochester, MN
| | - David S Knopman
- From the Department of Neurology (J.L.D.), Yale University School of Medicine, New Haven, CT; Welch Center for Prevention, Epidemiology, and Clinical Research (Y.Z., R.F.G., A.M.R., E.G.), Johns Hopkins Bloomberg School of Public Health; The Russell H. Morgan Department of Radiology and Radiological Sciences (Y.Q., L.L., B.A.W.) and Department of Neurology (R.F.G.), Johns Hopkins University School of Medicine, Baltimore, MD; Department of Neurology (M.F.K.S.), University of Minnesota School of Medicine, Minneapolis; Department of Medicine, Division of Geriatrics (T.H.M.), The University of Mississippi School of Medicine, Jackson; Department of Epidemiology (A.A.), Rollins School of Public Health, Emory University, Atlanta, GA; and Department of Neurology (D.S.K.), The Mayo Clinic, Rochester, MN
| | - Eliseo Guallar
- From the Department of Neurology (J.L.D.), Yale University School of Medicine, New Haven, CT; Welch Center for Prevention, Epidemiology, and Clinical Research (Y.Z., R.F.G., A.M.R., E.G.), Johns Hopkins Bloomberg School of Public Health; The Russell H. Morgan Department of Radiology and Radiological Sciences (Y.Q., L.L., B.A.W.) and Department of Neurology (R.F.G.), Johns Hopkins University School of Medicine, Baltimore, MD; Department of Neurology (M.F.K.S.), University of Minnesota School of Medicine, Minneapolis; Department of Medicine, Division of Geriatrics (T.H.M.), The University of Mississippi School of Medicine, Jackson; Department of Epidemiology (A.A.), Rollins School of Public Health, Emory University, Atlanta, GA; and Department of Neurology (D.S.K.), The Mayo Clinic, Rochester, MN
| | - Bruce A Wasserman
- From the Department of Neurology (J.L.D.), Yale University School of Medicine, New Haven, CT; Welch Center for Prevention, Epidemiology, and Clinical Research (Y.Z., R.F.G., A.M.R., E.G.), Johns Hopkins Bloomberg School of Public Health; The Russell H. Morgan Department of Radiology and Radiological Sciences (Y.Q., L.L., B.A.W.) and Department of Neurology (R.F.G.), Johns Hopkins University School of Medicine, Baltimore, MD; Department of Neurology (M.F.K.S.), University of Minnesota School of Medicine, Minneapolis; Department of Medicine, Division of Geriatrics (T.H.M.), The University of Mississippi School of Medicine, Jackson; Department of Epidemiology (A.A.), Rollins School of Public Health, Emory University, Atlanta, GA; and Department of Neurology (D.S.K.), The Mayo Clinic, Rochester, MN.
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