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Clancy Ú, Puttock EJ, Chen W, Whiteley W, Vickery EM, Leung LY, Luetmer PH, Kallmes DF, Fu S, Zheng C, Liu H, Kent DM. Mortality Outcomes in a Large Population with and without Covert Cerebrovascular Disease. Aging Dis 2024:AD.2024.0211. [PMID: 38421836 DOI: 10.14336/ad.2024.0211] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Accepted: 02/11/2024] [Indexed: 03/02/2024] Open
Abstract
Covert cerebrovascular disease (CCD) is frequently reported on neuroimaging and associates with increased dementia and stroke risk. We aimed to determine how incidentally-discovered CCD during clinical neuroimaging in a large population associates with mortality. We screened CT and MRI reports of adults aged ≥50 in the Kaiser Permanente Southern California health system who underwent neuroimaging for a non-stroke clinical indication from 2009-2019. Natural language processing identified incidental covert brain infarcts (CBI) and/or white matter hyperintensities (WMH), grading WMH as mild/moderate/severe. Models adjusted for age, sex, ethnicity, multimorbidity, vascular risks, depression, exercise, and imaging modality. Of n=241,028, the mean age was 64.9 (SD=10.4); mean follow-up 4.46 years; 178,554 (74.1%) had CT; 62,474 (25.9%) had MRI; 11,328 (4.7%) had CBI; and 69,927 (29.0%) had WMH. The mortality rate per 1,000 person-years with CBI was 59.0 (95%CI 57.0-61.1); with WMH=46.5 (45.7-47.2); with neither=17.4 (17.1-17.7). In adjusted models, mortality risk associated with CBI was modified by age, e.g. HR 1.34 [1.21-1.48] at age 56.1 years vs HR 1.22 [1.17-1.28] at age 72 years. Mortality associated with WMH was modified by both age and imaging modality e.g., WMH on MRI at age 56.1 HR = 1.26 [1.18-1.35]; WMH on MRI at age 72 HR 1.15 [1.09-1.21]; WMH on CT at age 56.1 HR 1.41 [1.33-1.50]; WMH on CT at age 72 HR 1.28 [1.24-1.32], vs. patients without CBI or without WMH, respectively. Increasing WMH severity associated with higher mortality, e.g. mild WMH on MRI had adjusted HR=1.13 [1.06-1.20] while severe WMH on CT had HR=1.45 [1.33-1.59]. Incidentally-detected CBI and WMH on population-based clinical neuroimaging can predict higher mortality rates. We need treatments and healthcare planning for individuals with CCD.
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Affiliation(s)
- Úna Clancy
- Centre for Clinical Brain Sciences, Edinburgh Imaging, and UK Dementia Research Institute, University of Edinburgh, Edinburgh EH16 4SB, United Kingdom
| | - Eric J Puttock
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California, USA
| | - Wansu Chen
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California, USA
| | - William Whiteley
- Centre for Clinical Brain Sciences, Edinburgh Imaging, and UK Dementia Research Institute, University of Edinburgh, Edinburgh EH16 4SB, United Kingdom
| | - Ellen M Vickery
- Predictive Analytics and Comparative Effectiveness Center, Tufts Medical Center, Boston, Massachusetts, USA
| | - Lester Y Leung
- Department of Neurology, Tufts Medical Center, Boston, Massachusetts, USA
| | | | - David F Kallmes
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
| | - Sunyang Fu
- Center for Translational AI Excellence and Applications in Medicine, University of Texas Health Science Center, Houston, Texas, USA
| | - Chengyi Zheng
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California, USA
| | - Hongfang Liu
- Center for Translational AI Excellence and Applications in Medicine, University of Texas Health Science Center, Houston, Texas, USA
| | - David M Kent
- Predictive Analytics and Comparative Effectiveness Center, Tufts Medical Center, Boston, Massachusetts, USA
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Li N, Li YL, Li LT. Development and validation of a nomogram predictive model for cerebral small vessel disease: a comprehensive retrospective analysis. Front Neurol 2024; 14:1340492. [PMID: 38259650 PMCID: PMC10801164 DOI: 10.3389/fneur.2023.1340492] [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: 11/18/2023] [Accepted: 12/19/2023] [Indexed: 01/24/2024] Open
Abstract
Background Cerebral small vessel disease (CSVD) is a significant contributor to stroke, intracerebral hemorrhages, and vascular dementia, particularly in the elderly. Early diagnosis remains challenging. This study aimed to develop and validate a novel nomogram for the early diagnosis of cerebral small vessel disease (CSVD). We focused on integrating cerebrovascular risk factors and blood biochemical markers to identify individuals at high risk of CSVD, thus enabling early intervention. Methods In a retrospective study conducted at the neurology department of the Affiliated Hospital of Hebei University from January 2020 to June 2022, 587 patients were enrolled. The patients were randomly divided into a training set (70%, n = 412) and a validation set (30%, n = 175). The nomogram was developed using multivariable logistic regression analysis, with variables selected through the Least Absolute Shrinkage and Selection Operator (LASSO) technique. The performance of the nomogram was evaluated based on the area under the receiver operating characteristic curve (AUC-ROC), calibration plots, and decision curve analysis (DCA). Results Out of 88 analyzed biomarkers, 32 showed significant differences between the CSVD and non-CSVD groups. The LASSO regression identified 12 significant indicators, with nine being independent clinical predictors of CSVD. The AUC-ROC values of the nomogram were 0.849 (95% CI: 0.821-0.894) in the training set and 0.863 (95% CI: 0.810-0.917) in the validation set, indicating excellent discriminative ability. Calibration plots demonstrated good agreement between predicted and observed probabilities in both sets. DCA showed that the nomogram had significant clinical utility. Conclusions The study successfully developed a nomogram predictive model for CSVD, incorporating nine clinical predictive factors. This model offers a valuable tool for early identification and risk assessment of CSVD, potentially enhancing clinical decision-making and patient outcomes.
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Affiliation(s)
- Ning Li
- Department of Neurology, Hebei Medical University, Shijiazhuang, China
- Department of Neurology, Affiliated Hospital of Hebei University, Baoding, China
| | - Ying-lei Li
- Department of Neurology, Hebei Medical University, Shijiazhuang, China
- Department of Emergency Medicine, Baoding First Central Hospital, Baoding, China
| | - Li-tao Li
- Department of Neurology, Hebei Medical University, Shijiazhuang, China
- Department of Neurology, Hebei General Hospital, Shijiazhuang, China
- Hebei Provincial Key Laboratory of Cerebral Networks and Cognitive Disorders, Hebei General Hospital, Shijiazhuang, China
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Wu L, Wang Z, Zhou X, Kong Q, Zhang Y, Xu S, Huang H, Luo X. Mismatch of MRI White Matter Hyperintensities and Gait Function in Patients With Cerebral Small Vessel Disease. J Magn Reson Imaging 2023. [PMID: 37921545 DOI: 10.1002/jmri.29121] [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: 08/12/2023] [Revised: 10/24/2023] [Accepted: 10/25/2023] [Indexed: 11/04/2023] Open
Abstract
BACKGROUND Cerebral small vessel disease (CSVD) is closely related to gait disorders. Previous studies have found a negative correlation between the severity of MRI white matter hyperintensities (WMH) and gait speed. However, not every individual with WMH experiences a gait disorder. PURPOSE To investigate the mechanisms underlying the mismatch between the severity of MRI WMH and gait impairment, in particular in subjects with severe WMH (Fazekas 3, scale 0-3) resulting from vascular disease. STUDY TYPE Cohort. POPULATION 54 subjects with severe WMH and gait disorder (WMH-GD; 29 males) and 114 subjects with severe WMH with no gait disorder (WMH-nGD; 60 males). FIELD STRENGTH/SEQUENCE 3T/diffusion tensor imaging (DTI), and T1-weighted, T2-weighted, FLAIR, DWI, SWI. ASSESSMENT Trace-based spatial statistics analysis (TBSS) approach (fractional anisotropy, FA; mean diffusivity; radial diffusivity; axial diffusivity); Cognitive assessment; Conventional MRI markers of CSVD (WMH, enlarged perivascular spaces, lacunae, and cerebral microbleeds); Gait parameters (gait speed; cadence; stride length; gait cycle duration; step duration; time-up-and-go test, TUG). Gait disorder was defined as a TUG time exceeding 12 sec. STATISTICAL TESTS The t-tests, Mann-Whitney U tests, Chi-square tests, and partial correlation analysis (Pearson or Spearman) were used. P < 0.05 with threshold-free cluster enhancement corrected was considered statistically significant for TBSS. RESULTS After adjusting for age, sex, height, and other conventional MRI markers of CSVD, the WMH-nGD group showed significantly decreased FA values in the corpus callosum, bilateral superior longitudinal fasciculus, left corona radiata, and left posterior thalamic radiation. There was a significant association between FA values and TUG time, gait speed, and stride length in multiple WM tracts, independent of other conventional CSVD markers. DATA CONCLUSION This study provides evidence for microstructural damage of specific fibers in WMH-GD subjects compared to WMH-nGD subjects. This may explain the mismatch between WMH and gait impairment in subjects with severe WMH. LEVEL OF EVIDENCE 1 TECHNICAL EFFICACY: Stage 3.
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Affiliation(s)
- Lingshan Wu
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Ziyue Wang
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xirui Zhou
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Qianqian Kong
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Yi Zhang
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Shabei Xu
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Hubei Key Laboratory of Neural Injury and Functional Reconstruction, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Hao Huang
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Hubei Key Laboratory of Neural Injury and Functional Reconstruction, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xiang Luo
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Hubei Key Laboratory of Neural Injury and Functional Reconstruction, Huazhong University of Science and Technology, Wuhan, Hubei, China
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Wang Y, Li Y, Liu S, Liu P, Zhu Z, Wu J. Gait characteristics related to fall risk in patients with cerebral small vessel disease. Front Neurol 2023; 14:1166151. [PMID: 37346167 PMCID: PMC10279878 DOI: 10.3389/fneur.2023.1166151] [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: 02/14/2023] [Accepted: 05/15/2023] [Indexed: 06/23/2023] Open
Abstract
Background Falls and gait disturbance are significant clinical manifestations of cerebral small vessel disease (CSVD). However, few relevant studies are reported at present. We aimed to investigate gait characteristics and fall risk in patients with CSVD. Methods A total of 119 patients with CSVD admitted to the Department of Neurology at Tianjin Huanhu Hospital between 17 August 2018 and 7 November 2018 were enrolled in this study. All patients underwent cerebral magnetic resonance imaging scanning and a 2-min walking test using an OPAL wearable sensor and Mobility Lab software. Relevant data were collected using the gait analyzer test system to further analyze the time-space and kinematic parameters of gait. All patients were followed up, and univariate and multivariate logistic regression analyses were conducted to analyze the gait characteristics and relevant risk factors in patients with CSVD at an increased risk of falling. Results All patients were grouped according to the presence or absence of falling and fear of falling and were divided into a high-fall risk group (n = 35) and a low-fall risk group (n = 72). Logistic multivariate regression analysis showed that the toe-off angle [odds ratio (OR) = 0.742, 95% confidence interval (CI) 0.584-0.942, p < 0.05], toe-off angle coefficient of variation (CV) (OR = 0.717, 95% CI: 0.535-0.962, p < 0.05), stride length CV (OR = 1.256, 95% CI: 1.017-1.552, p < 0.05), and terminal double support CV (OR = 1.735, 95% CI: 1.271-2.369, p < 0.05) were statistically significant (p < 0.05) and were independent risk factors for high-fall risk in patients with CSVD. Conclusion CSVD patients with seemingly normal gait and ambulation independently still have a high risk of falling, and gait spatiotemporal-kinematic parameters, gait symmetry, and gait variability are important indicators to assess the high-fall risk. The decrease in toe-off angle, in particular, and an increase in related parameters of CV, can increase the fall risk of CSVD patients.
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Affiliation(s)
- Yajing Wang
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, China
- Department of Neurology, Tianjin Huanhu Hospital, Tianjin Key Laboratory of Cerebral Vascular and Neurodegenerative Diseases, Tianjin Neurosurgical Institute, Tianjin, China
| | - Yanna Li
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, China
- Department of Neurology, Tianjin Huanhu Hospital, Tianjin Key Laboratory of Cerebral Vascular and Neurodegenerative Diseases, Tianjin Neurosurgical Institute, Tianjin, China
| | - Shoufeng Liu
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, China
- Department of Neurology, Tianjin Huanhu Hospital, Tianjin Key Laboratory of Cerebral Vascular and Neurodegenerative Diseases, Tianjin Neurosurgical Institute, Tianjin, China
| | - Peipei Liu
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, China
- Department of Neurology, Tianjin Huanhu Hospital, Tianjin Key Laboratory of Cerebral Vascular and Neurodegenerative Diseases, Tianjin Neurosurgical Institute, Tianjin, China
| | - Zhizhong Zhu
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, China
- Department of Rehabilitation, Tianjin Huanhu Hospital, Tianjin, China
| | - Jialing Wu
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, China
- Department of Neurology, Tianjin Huanhu Hospital, Tianjin Key Laboratory of Cerebral Vascular and Neurodegenerative Diseases, Tianjin Neurosurgical Institute, Tianjin, China
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Mo Y, Mao C, Yang D, Ke Z, Huang L, Yang Z, Qin R, Huang Y, Lv W, Hu Z, Xu Y. Altered neuroimaging patterns of cerebellum and cognition underlying the gait and balance dysfunction in cerebral small vessel disease. Front Aging Neurosci 2023; 15:1117973. [PMID: 36967823 PMCID: PMC10032207 DOI: 10.3389/fnagi.2023.1117973] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Accepted: 02/13/2023] [Indexed: 03/05/2023] Open
Abstract
BackgroundThe mechanism of gait and balance dysfunction (GBD) in cerebral small vessel disease (CSVD) remains unclear. Evidence supports cognition engages in GBD of CSVD. The cerebellum is important in motor and cognition, while little is known about the influence of the cerebellum on GBD in CSVD.MethodsThis study is a retrospective cohort study. All participants of this study were enrolled from the CSVD individuals in Nanjing Drum Tower Hospital from 2017 to 2021. The GBD of CSVD patients was defined as Tinetti Test score ≤ 23. Cerebral cortical thickness, cerebellar gray matter volume, the amplitude of low-frequency fluctuation, functional connectivity, and modular interaction were calculated to determine the cortical atrophy and activity patterns of CSVD patients with GBD. The effect of cognitive domains during GBD in CSVD patients was explored by correlation analyses.ResultsA total of 25 CSVD patients were recruited in CSVD patients with GBD group (Tinetti Test score ≤ 23, mean age ± standard deviation: 70.000 ± 6.976 years), and 34 CSVD patients were recruited in CSVD patients without GBD group (Tinetti Test score > 23, mean age ± standard deviation: 64.029 ± 9.453 years). CSVD patients with GBD displayed worse cognitive performance and cortical atrophy in the right cerebellum VIIIa and bilateral superior temporal gyrus than those without GBD. The right postcentral gyrus, left inferior temporal gyrus, right angular gyrus, right supramarginal gyrus and right middle frontal gyrus were functionally overactivated and showed decreased modular interaction with the right cerebellum. Tinetti Test scores were negatively related to the volume of the right cerebellum VIIIa in CSVD patients with GBD. Notably, memory, especially visuospatial memory, was greatly associated with GBD in CSVD.ConclusionThe cortical atrophy and altered functional activity in sensorimotor area and ventral attention network in the cerebellum and cerebrum may underlying the GBD in CSVD. Memory might be critically cognitively responsible for GBD in CSVD.
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Affiliation(s)
- Yuting Mo
- Department of Neurology, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, China
| | - Chenglu Mao
- Medical School, State Key Laboratory of Pharmaceutical Biotechnology, Department of Neurology, Drum Tower Hospital, Institute of Brain Science, Nanjing University, Nanjing, China
- Nanjing Neurology Clinic Medical Center, Nanjing, China
| | - Dan Yang
- Department of Neurology, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, China
| | - Zhihong Ke
- Department of Neurology, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, China
| | - Lili Huang
- Medical School, State Key Laboratory of Pharmaceutical Biotechnology, Department of Neurology, Drum Tower Hospital, Institute of Brain Science, Nanjing University, Nanjing, China
- Nanjing Neurology Clinic Medical Center, Nanjing, China
| | - Zhiyuan Yang
- Medical School, State Key Laboratory of Pharmaceutical Biotechnology, Department of Neurology, Drum Tower Hospital, Institute of Brain Science, Nanjing University, Nanjing, China
- Nanjing Neurology Clinic Medical Center, Nanjing, China
| | - Ruomeng Qin
- Medical School, State Key Laboratory of Pharmaceutical Biotechnology, Department of Neurology, Drum Tower Hospital, Institute of Brain Science, Nanjing University, Nanjing, China
- Nanjing Neurology Clinic Medical Center, Nanjing, China
| | - Yanan Huang
- Medical School, State Key Laboratory of Pharmaceutical Biotechnology, Department of Neurology, Drum Tower Hospital, Institute of Brain Science, Nanjing University, Nanjing, China
- Nanjing Neurology Clinic Medical Center, Nanjing, China
| | - Weiping Lv
- Medical School, State Key Laboratory of Pharmaceutical Biotechnology, Department of Neurology, Drum Tower Hospital, Institute of Brain Science, Nanjing University, Nanjing, China
- Nanjing Neurology Clinic Medical Center, Nanjing, China
| | - Zheqi Hu
- Medical School, State Key Laboratory of Pharmaceutical Biotechnology, Department of Neurology, Drum Tower Hospital, Institute of Brain Science, Nanjing University, Nanjing, China
- Nanjing Neurology Clinic Medical Center, Nanjing, China
| | - Yun Xu
- Department of Neurology, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, China
- Medical School, State Key Laboratory of Pharmaceutical Biotechnology, Department of Neurology, Drum Tower Hospital, Institute of Brain Science, Nanjing University, Nanjing, China
- Nanjing Neurology Clinic Medical Center, Nanjing, China
- Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing, China
- Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing Drum Tower Hospital, Nanjing, China
- *Correspondence: Yun Xu,
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Pavlovic A, Pekmezovic T, Mijajlovic M, Tomic G, Zidverc Trajkovic J. Is the female sex associated with an increased risk for long-term cognitive decline after the first-ever lacunar stroke? Prospective study on small vessel disease cohort. Front Neurol 2023; 13:1052401. [PMID: 36712431 PMCID: PMC9878188 DOI: 10.3389/fneur.2022.1052401] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Accepted: 12/16/2022] [Indexed: 01/15/2023] Open
Abstract
Background Sex is a significant determinant of survival and functional outcome after stroke. Long-term cognitive outcome after acute lacunar stroke in the context of sex differences has been rarely reported. Methods A cohort of small vessel disease (SVD) patients presenting with first-ever acute lacunar stroke and normal cognitive status has been evaluated 4 years after the qualifying event for the presence of cognitive impairment (CI) with a comprehensive neuropsychological battery. Differences in baseline clinical and neuroimaging characteristics were compared between sexes in relation to cognitive status. Results A total of 124 female and 150 male patients were analyzed. No difference was detected between the groups regarding age (p = 0.932) or frequency of common vascular risk factors (p > 0.1 for all). At the baseline assessment, women had more disabilities compared to men with a mean modified Rankin scale (mRS) score of 2.5 (1.5 in men, p < 0.0001). Scores of white matter hyperintensities (WMH) of presumed vascular origin and a total number of lacunes of presumed vascular origin on brain MRI were higher in women compared to men (p < 0.0001 for all). As many as 64.6% of patients had CI of any severity on follow-up, women more frequently (77.4%) than men (54.0%; p < 0.0001). Univariate logistic regression analysis showed that female sex, higher NIHSS and mRS scores, presence of depression, and increasing WMH severity were associated with an increased risk for CI. Multivariate regression analysis indicated that only depression (OR 1.74, 95%CI 1.25-2.44; p = 0.001) and WMH severity (OR 1.10, 95%CI 1.03-1.17; p = 0.004) were independently associated with the CI. Conclusion At the long-term follow-up, women lacunar stroke survivors, compared to men, more frequently had CI in the presence of more severe vascular brain lesions, but this association was dependent on the occurrence of depression and severity of WMH, and could not be explained by differences in common vascular risk factors.
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Affiliation(s)
- Aleksandra Pavlovic
- Faculty of Special Education and Rehabilitation, University of Belgrade, Belgrade, Serbia,Neurology Clinic, University Clinical Center of Serbia, Faculty of Medicine, University of Belgrade, Belgrade, Serbia,*Correspondence: Aleksandra Pavlovic ✉
| | - Tatjana Pekmezovic
- Faculty of Medicine, Institute of Epidemiology, University of Belgrade, Belgrade, Serbia
| | - Milija Mijajlovic
- Neurology Clinic, University Clinical Center of Serbia, Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Gordana Tomic
- Neurology Clinic, University Clinical Center of Serbia, Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Jasna Zidverc Trajkovic
- Neurology Clinic, University Clinical Center of Serbia, Faculty of Medicine, University of Belgrade, Belgrade, Serbia
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Nomoto M, Miyata K, Kohno Y. White matter hyperintensity predicts independent walking function at 6 months after stroke: A retrospective cohort study. NeuroRehabilitation 2023; 53:557-565. [PMID: 38143395 DOI: 10.3233/nre-230225] [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] [Indexed: 12/26/2023]
Abstract
BACKGROUND White matter hyperintensity (WMH) is reported to have a potential prevalence in healthy people and is a predictor of walking disability. However, WMH has not been adequately considered as a predictor of independent walking after stroke. OBJECTIVE To investigate the effects of WMH severity on walking function in patients with acute stroke. METHODS The retrospective cohort study included 422 patients with acute stroke. The WMH severity from magnetic resonance images was evaluated using the Fazekas scale. Age, type of stroke, Fazekas scale, Brunnstrom motor recovery stage, Motricity Index, and Mini-Mental State Examination were used as independent variables. Multivariable logistic regression analysis was conducted on the factors of independent walking at discharge and 6 months after onset, respectively. RESULTS Multivariable analysis revealed that the Fazekas scale is not a predictive factor of independent walking at discharge (odds ratio [OR] = 0.89, 95% confidence intervals [CI] = 0.65-1.22), but at 6 months (OR = 0.54, 95% CI = 0.34-0.86). CONCLUSION The WMH severity was a predictive factor of independent walking in patients with acute stroke after 6 months. WMH is a factor that should be considered to improve the accuracy of predicting long-term walking function in patients with stroke.
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Affiliation(s)
- Masahiro Nomoto
- Department of Rehabilitation, Nerima Hikarigaoka Hospital, Tokyo, Japan
- Graduate School of Health Sciences, Ibaraki Prefectural University of Health Sciences, Ibaraki, Japan
| | - Kazuhiro Miyata
- Department of Physical Therapy, Ibaraki Prefectural University of Health Sciences, Ibaraki, Japan
| | - Yutaka Kohno
- Center for Medical Sciences, Ibaraki Prefectural University of Health Sciences, Ibaraki, Japan
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Hou Y, Yang S, Li Y, Qin W, Yang L, Hu W. Association of enlarged perivascular spaces with upper extremities and gait impairment: An observational, prospective cohort study. Front Neurol 2022; 13:993979. [DOI: 10.3389/fneur.2022.993979] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Accepted: 09/30/2022] [Indexed: 11/13/2022] Open
Abstract
Background and objectiveGait disturbances are common in the elderly and can lead to the loss of functional independence and even death. Enlarged perivascular space (EPVS) and motor performance may be related, but only few studies have explored this relationship. The aim of our study was to investigate the effects of both the severity and location of EPVS on movement disorders.MethodTwo hundred and six participants aged between 45 and 85 years old with complete magnetic resonance imaging (MRI) data were included in our analysis. EPVS were divided into basal ganglia (BG) and centrum semiovale (CSO), and their grades were measured. Gait was assessed quantitatively using a 4-m walkway and TUG test as well as semi-quantitatively using the Tinetti and SPPB tests. The function of upper extremities was evaluated by 10-repeat pronation–supination, 10-repeat finger-tapping, and 10-repeat opening and closing of the hands.ResultsBoth high-grade EPVS, whether in BG and CSO, were independently correlated with gait parameters, the TUG time, Tinetti, and SPPB tests. The EPVS located in BG had a significant association with 10-repeat finger-tapping time (β = 0.231, P = 0.025) and a similar association was also observed between CSO-EPVS and 10-repeat pronation–supination time (β = 0.228, P = 0.014).ConclusionOur results indicated that EPVS was associated with gait disturbances, and a further investigation found that EPVS has an association with upper extremities disorder. EPVS should be considered as a potential target for delaying gait and upper extremities damage since CSVD can be prevented to some extent.
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da Silva PHR, Paschoal AM, Secchinatto KF, Zotin MCZ, Dos Santos AC, Viswanathan A, Pontes-Neto OM, Leoni RF. Contrast agent-free state-of-the-art magnetic resonance imaging on cerebral small vessel disease - Part 2: Diffusion tensor imaging and functional magnetic resonance imaging. NMR IN BIOMEDICINE 2022; 35:e4743. [PMID: 35429070 DOI: 10.1002/nbm.4743] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 04/04/2022] [Indexed: 06/14/2023]
Abstract
Cerebral small vessel disease (cSVD) has been widely studied using conventional magnetic resonance imaging (MRI) methods, although the association between MRI findings and clinical features of cSVD is not always concordant. We assessed the additional contribution of contrast agent-free, state-of-the-art MRI techniques, particularly diffusion tensor imaging (DTI) and functional magnetic resonance imaging (fMRI), to understand brain damage and structural and functional connectivity impairment related to cSVD. We performed a review following the PICOS worksheet and Search Strategy, including 152 original papers in English, published from 2000 to 2022. For each MRI method, we extracted information about their contributions regarding the origins, pathology, markers, and clinical outcomes in cSVD. In general, DTI studies have shown that changes in mean, radial, and axial diffusivity measures are related to the presence of cSVD. In addition to the classical deficit in executive functions and processing speed, fMRI studies indicate connectivity dysfunctions in other domains, such as sensorimotor, memory, and attention. Neuroimaging metrics have been correlated with the diagnosis, prognosis, and rehabilitation of patients with cSVD. In short, the application of contrast agent-free, state-of-the-art MRI techniques has provided a complete picture of cSVD markers and tools to explore questions that have not yet been clarified about this clinical condition. Longitudinal studies are desirable to look for causal relationships between image biomarkers and clinical outcomes.
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Affiliation(s)
| | - André Monteiro Paschoal
- Department of Physics, FFCLRP, University of São Paulo, Ribeirão Preto, São Paulo, Brazil
- Department of Medical Imaging, Hematology and Clinical Oncology, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil
| | | | - Maria Clara Zanon Zotin
- Department of Medical Imaging, Hematology and Clinical Oncology, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil
- J Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Antônio Carlos Dos Santos
- Department of Medical Imaging, Hematology and Clinical Oncology, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil
| | - Anand Viswanathan
- J Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Octavio M Pontes-Neto
- Department of Neurosciences and Behavioral Science, Ribeirão Preto Medical School, University of Sao Paulo, Ribeirão Preto, São Paulo, Brazil
| | - Renata Ferranti Leoni
- Department of Physics, FFCLRP, University of São Paulo, Ribeirão Preto, São Paulo, Brazil
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10
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Su C, Yang X, Wei S, Zhao R. Periventricular white matter hyperintensities are associated with gait and balance in patients with minor stroke. Front Neurol 2022; 13:941668. [PMID: 35937058 PMCID: PMC9355320 DOI: 10.3389/fneur.2022.941668] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Accepted: 06/27/2022] [Indexed: 11/13/2022] Open
Abstract
ObjectiveCerebral small vessel disease (CSVD) is associated with gait and balance deficits in older adults. However, the effect of CSVD-related brain injury on post-stroke mobility is unknown. This study aimed to investigate the association of CSVD with gait and balance impairment after a minor stroke.MethodsA total of 273 patients with a minor stroke (NIHSS ≤ 5 points) who were hospitalized at the Affiliated Hospital of Qingdao University were enrolled. The manifestations of white matter hyperintensities (WMH), lacunes, enlarged perivascular spaces (EPVS), and cerebral microbleeds (CMB) were statistically analyzed according to magnetic resonance imaging results, and the total burden score of CSVD was calculated. Gait function was assessed by a 6-m walking speed test, and balance function was assessed by the timed-up-and-go (TUG) test. Linear regression analysis was applied to determine the association after adjusting for key variables.ResultsThe correlation results showed that in patients with minor stroke, age, sex, smoking history, and the infarct site were associated with gait speed, and age and the infarct site were associated with the TUG test. In the univariate linear regression model, periventricular white matter hyperintensities (PVWMH), deep white matter hyperintensities (DWMH), and the total burden of CSVD were correlated with gait speed, while only PVWMH correlated with the TUG test. After adjusting for confounders, only PVWMH were independent predictors of gait speed (β = −0.089, p < 0.05) and the TUG test (β = 0.517, p < 0.05).ConclusionsOur study confirmed that CSVD is associated with gait and balance disorders after a minor stroke. PVWMH are independent predictors of gait and balance disorders in patients with minor stroke. These findings should be confirmed in larger prospective studies.
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11
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Could salt intake directly affect the cerebral microvasculature in hypertension? J Stroke Cerebrovasc Dis 2022; 31:106632. [PMID: 35870266 DOI: 10.1016/j.jstrokecerebrovasdis.2022.106632] [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: 04/08/2022] [Revised: 06/26/2022] [Accepted: 06/30/2022] [Indexed: 11/23/2022] Open
Abstract
OBJECTIVES Excess dietary salt and chronic kidney disease (CKD) are acknowledged stroke risk factors. The development of small vessel disease, similarly affecting the cerebral and renal microvasculatures, may be an important mechanistic link underlying this interaction. Therefore, we aimed to evaluate if the dietary salt intake and markers of CKD (estimated glomerular filtration rate, albuminuria) relate to transcranial Doppler (TCD) markers of cerebral small vessel disease (CSVD) in hypertensive patients. MATERIALS AND METHODS Fifty-six hypertensive patients (57% with diabetes) underwent TCD monitoring in the middle (MCA) and posterior (PCA) cerebral arteries for evaluating neurovascular coupling (NVC), dynamic cerebral autoregulation (dCA), and vasoreactivity to carbon dioxide (VRCO2). We investigated the relation between renal parameters and TCD studies using Pearson's correlation coefficient and linear regression analyses. RESULTS There were no associations between dCA, VRCO2, NVC, and renal function tests. However, there was a negative association between the daily salt intake and the natural frequency during visual stimulation (r2=0.101, ß=-0.340, p=0.035), indicative of increased rigidity of the cerebral resistance vessels that react to cognitive activation. CONCLUSIONS In this cross-sectional study, we found an association between excess dietary salt consumption and CSVD in hypertensive patients. Future research is needed to evaluate whether the natural frequency could be an early, non-invasive, surrogate marker for microvascular dysfunction in hypertension.
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12
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Su C, Yang X, Wei S, Zhao R. Association of Cerebral Small Vessel Disease With Gait and Balance Disorders. Front Aging Neurosci 2022; 14:834496. [PMID: 35875801 PMCID: PMC9305071 DOI: 10.3389/fnagi.2022.834496] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Accepted: 06/14/2022] [Indexed: 12/27/2022] Open
Abstract
Cerebral small vessel disease (CSVD) is a common cerebrovascular disease and an important cause of gait and balance disorders. Gait and balance disorders can further lead to an increased risk of falls and a decreased quality of life. CSVD can damage gait and balance function by affecting cognitive function or directly disrupting motor pathways, and different CSVD imaging features have different characteristics of gait and balance impairment. In this article, the correlation between different imaging features of sporadic CSVD and gait and balance disorders has been reviewed as follows, which can provide beneficial help for standardized management of CSVD.
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13
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Association between gait features assessed by artificial intelligent system and cognitive function decline in patients with silent cerebrovascular disease: study protocol of a multicenter prospective cohort study (ACCURATE-2). BMC Neurol 2022; 22:240. [PMID: 35773649 PMCID: PMC9245255 DOI: 10.1186/s12883-022-02767-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Accepted: 06/22/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Gait disturbances may appear prior to cognitive dysfunction in the early stage of silent cerebrovascular disease (SCD). Subtle changes in gait characteristics may provide an early warning of later cognitive decline. Our team has proposed a vision-based artificial intelligent gait analyzer for the rapid detection of spatiotemporal parameters and walking pattern based on videos of the Timed Up and Go (TUG) test. The primary objective of this study is to investigate the relationship between gait features assessed by our artificial intelligent gait analyzer and cognitive function changes in patients with SCD. METHODS This will be a multicenter prospective cohort study involving a total of 14 hospitals from Shanghai and Guizhou. One thousand and six hundred patients with SCD aged 60-85 years will be consecutively recruited. Eligible patients will undergo the intelligent gait assessment and neuropsychological evaluation at baseline and at 1-year follow-up. The intelligent gait analyzer will divide participant into normal gait group and abnormal gait group according to their walking performance in the TUG videos at baseline. All participants will be naturally observed during 1-year follow-up period. Primary outcome are the changes in Mini-Mental State Examination (MMSE) score. Secondary outcomes include the changes in intelligent gait spatiotemporal parameters (step length, gait speed, step frequency, step width, standing up time, and turning back time), the changes in scores on other neuropsychological tests (Montreal Cognitive Assessment, the Stroop Color Word Test, and Digit Span Test), falls events, and cerebrovascular events. We hypothesize that both groups will show a decline in MMSE score, but the decrease of MMSE score in the abnormal gait group will be more significant. CONCLUSION This study will be the first to explore the relationship between gait features assessed by an artificial intelligent gait analyzer and cognitive decline in patients with SCD. It will demonstrate whether subtle gait abnormalities detected by the artificial intelligent gait analyzer can act as a cognitive-related marker for patients with SCD. TRIAL REGISTRATION This trial was registered at ClinicalTrials.gov ( NCT04456348 ; 2 July 2020).
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14
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Heiland EG, Welmer AK, Kalpouzos G, Laveskog A, Wang R, Qiu C. Cerebral small vessel disease, cardiovascular risk factors, and future walking speed in old age: a population-based cohort study. BMC Neurol 2021; 21:496. [PMID: 34949170 PMCID: PMC8705459 DOI: 10.1186/s12883-021-02529-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Accepted: 12/13/2021] [Indexed: 11/10/2022] Open
Abstract
Background The purpose of this study was to examine the associations between combined and individual cerebral small vessel disease (cSVD) markers on future walking speed over 9 years; and to explore whether these associations varied by the presence of cardiovascular risk factors (CRFs). Methods This population-based cohort study included 331 adults, aged ≥60 years, without limitation in walking speed (≥0.8 m/s). At baseline, cSVD markers, including white matter hyperintensities (WMH), lacunes, and perivascular spaces (PVS), were assessed on magnetic resonance imaging. The modifiable CRFs (physical inactivity, heavy alcohol consumption, smoking, hypertension, high total cholesterol, diabetes, and overweight/obese) were combined into a score. The association between baseline cSVD markers and the decline in walking speed was examined using linear mixed-effects models, whereas Cox proportional hazards models were used to estimate the association with walking speed limitation (defined as < 0.8 m/s) over the follow-up. Results Over the follow-up period, 76 (23.0%) persons developed walking speed limitation. Participants in the highest tertile of the combined cSVD marker score had a hazard ratio (HR) of 3.78 (95% confidence interval [CI] 1.70-8.45) for walking speed limitation compared with people in the lowest score tertile, even after adjusting for socio-demographics, CRFs, cognitive function, and chronic conditions. When investigating the cSVD markers individually, having the highest burden of WMH was associated with a significantly faster decline in walking speed (β coefficient − 0.020; 95% CI -0.035-0.004) and a greater HR of walking speed limitation (HR 2.78; 95% CI 1.31-5.89) compared with having the lowest WMH burden. Similar results were obtained for the highest tertile of PVS (HR 2.13; 95% CI 1.04-4.36). Lacunes were associated with walking speed limitation, but only in men. Having ≥4 CRFs and high WMH volume simultaneously, showed a greater risk of walking speed limitation compared with having ≥4 CRFs and low WMH burden. CRFs did not modify the associations between lacunes or PVS and walking speed. Conclusions Combined cSVD markers strongly predict walking speed limitation in healthy older adults, independent of cognitive function, with WMH and PVS being the strongest contributors. Improving cardiovascular health may help to mitigate the negative effects of WMH on future walking speed. Supplementary Information The online version contains supplementary material available at 10.1186/s12883-021-02529-6.
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Affiliation(s)
- Emerald G Heiland
- Department of Surgical Sciences, Medical Epidemiology, Uppsala University, Dag Hammarskjölds väg 14B, 75 185, Uppsala, Sweden. .,Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Widerströmska Huset, Tomtebodavägen 18A, 171 65, Solna, Sweden. .,Department of Physical Activity and Health, The Swedish School of Sport and Health Sciences (GIH), Lidingövägen 1, 114 86, Stockholm, Sweden.
| | - Anna-Karin Welmer
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Widerströmska Huset, Tomtebodavägen 18A, 171 65, Solna, Sweden.,Stockholm Gerontology Research Center, Sveavägen 155, 113 46, Stockholm, Sweden.,Women's Health and Allied Health Professionals Theme, Medical Unit Medical Psychology, Karolinska University Hospital, Stockholm, Sweden.,Division of Physiotherapy, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Alfred Nobels allé 23, 141 83, Huddinge, Sweden
| | - Grégoria Kalpouzos
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Widerströmska Huset, Tomtebodavägen 18A, 171 65, Solna, Sweden
| | - Anna Laveskog
- Division of Neuro, Department of Clinical Neuroscience, Karolinska Institutet, Tomtebodavägen 18A, 171 65, Solna, Sweden.,Department of Neuroradiology, Karolinska University Hospital, Eugeniavägen 3, 171 76, Solna, Sweden
| | - Rui Wang
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Widerströmska Huset, Tomtebodavägen 18A, 171 65, Solna, Sweden.,Department of Physical Activity and Health, The Swedish School of Sport and Health Sciences (GIH), Lidingövägen 1, 114 86, Stockholm, Sweden
| | - Chengxuan Qiu
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Widerströmska Huset, Tomtebodavägen 18A, 171 65, Solna, Sweden.
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15
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Luo X, Hong H, Wang S, Li K, Zeng Q, Hong L, Liu X, Li Z, Fu Y, Jiaerken Y, Xu X, Yu X, Huang P, Zhang M. Exploration of the Mechanism Underlying the Association of Incident Microinfarct and Motor Deficit: A Preliminary Functional MRI Study. J Alzheimers Dis 2021; 85:1545-1554. [PMID: 34958031 DOI: 10.3233/jad-215227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Cerebral microinfarcts (CMIs) might cause measurable disruption to brain connections and are associated with cognitive decline, but the association between CMIs and motor impairment is still unclear. OBJECTIVE To assess the CMIs effect on motor function in vivo and explore the potential neuropathological mechanism based on graph-based network method. METHODS We identified 133 non-demented middle-aged and elderly participants who underwent MRI scanning, cognitive, and motor assessment. The short physical performance battery (SPPB) assessed motor function, including balance, walking speed, and chair stand. We grouped participants into 34 incident CMIs carriers and 99 non-CMIs carriers as controls, depending on diffusion-weighted imaging. Then we assessed the independent CMIs effects on motor function and explored neural mechanisms of CMIs on motor impairment via mapping of degree centrality (DC) and eigenvector centrality (EC). RESULTS CMIs carriers had worse motor function than non-carriers. Linear regression analyses showed that CMIs independently contributed to motor function. CMIs carriers had decreased EC in the precuneus, while increased DC and EC in the middle temporal gyrus and increased DC in the inferior frontal gyrus compared to controls (p < 0.05, corrected). Correlation analyses showed that EC of precuneus was related to SPPB (r = 0.25) and balance (r = 0.27); however, DC (r = -0.25) and EC (r = -0.25) of middle temporal gyrus was related with SPPB in all participants (p < 0.05, corrected). CONCLUSION CMIs represent an independent risk factor for motor dysfunction. The relationship between CMIs and motor function may be attributed to suppression of functional hub region and compensatory activation of motor-related regions.
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Affiliation(s)
- Xiao Luo
- Department of Radiology, The 2nd Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Hui Hong
- Department of Radiology, The 2nd Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Shuyue Wang
- Department of Radiology, The 2nd Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Kaicheng Li
- Department of Radiology, The 2nd Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Qingze Zeng
- Department of Radiology, The 2nd Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Luwei Hong
- Department of Radiology, The 2nd Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Xiaocao Liu
- Department of Radiology, The 2nd Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Zheyu Li
- Department of Neurology, The 2nd Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Yanv Fu
- Department of Neurology, The 2nd Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Yeerfan Jiaerken
- Department of Radiology, The 2nd Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - XiaoPei Xu
- Department of Radiology, The 2nd Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Xinfeng Yu
- Department of Radiology, The 2nd Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Peiyu Huang
- Department of Radiology, The 2nd Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Minming Zhang
- Department of Radiology, The 2nd Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
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16
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Ogama N, Endo H, Satake S, Niida S, Arai H, Sakurai T. Impact of regional white matter hyperintensities on specific gait function in Alzheimer's disease and mild cognitive impairment. J Cachexia Sarcopenia Muscle 2021; 12:2045-2055. [PMID: 34585518 PMCID: PMC8718089 DOI: 10.1002/jcsm.12807] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Revised: 08/01/2021] [Accepted: 08/23/2021] [Indexed: 11/28/2022] Open
Abstract
BACKGROUND Gait disturbance and musculoskeletal changes are evident in persons living with Alzheimer's disease (AD). Because complex gait control requires the integration of neural networks, cerebral small vessel disease (SVD), which is highly prevalent in persons with AD, might have an additional impact on gait disturbance. This study investigated whether white matter hyperintensities (WMH) are more predominantly associated with gait disturbance in persons with AD than in individuals with mild cognitive impairment (MCI) and normal cognition (NC) and further identified the regional impact of WMH on specific gait changes. METHODS This study included 396 subjects (aged 65 to 86 years, 63.9% female) diagnosed with AD (n = 187), MCI (n = 118), or NC (n = 91). WMH, lacunes, perivascular spaces, and cerebral microbleeds were assessed as markers of SVD. The volume of WMH was quantified in each brain lobe (frontal, temporal, occipital, and parietal) and sublobar regions in the basal ganglia and thalamus. Gait function was assessed using an electronic walkway. We investigated the association between regional WMH and gait disturbance in individuals with AD, MCI, and NC, adjusted for classical and musculoskeletal confounders. RESULTS Among markers of SVD, WMH were most associated with gait disturbance. In AD subjects, periventricular WMH in the frontal and parietal lobes were associated with slow gait speed (rs = -0.21, P = 0.007 and rs = -0.18, P = 0.019, respectively). These lesions were also associated with changes in stride time, double-leg support time, and walking angle (all rs > 0.20, P < 0.01). Lesions in the basal ganglia and thalamus were associated with slow gait speed (rs = -0.16, P = 0.034 and rs = -0.18, P = 0.023, respectively) and greater gait speed variability (rs = 0.16, P = 0.034 and rs = 0.20, P = 0.010, respectively). MCI subjects showed only associations between sublobar lesions and shorter stride length (rs = -0.24, P = 0.016) and increased walking angle (rs = 0.32, P = 0.002). NC subjects did not show associations between WMH and gait parameters. MCI and NC subjects were more affected by muscle weakness than WMH for global gait function (rs = 0.42, P < 0.001 and rs = 0.23, P = 0.046, respectively). CONCLUSIONS Persons with AD showed a predominant association between WMH and gait disturbance compared with MCI and NC subjects, and regional WMH had a detrimental effect on specific gait changes.
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Affiliation(s)
- Noriko Ogama
- Department of Geriatric Medicine, National Center for Geriatrics and Gerontology, Obu, Japan.,Department of Frailty Research, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Hidetoshi Endo
- Department of Geriatric Medicine, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Shosuke Satake
- Department of Geriatric Medicine, National Center for Geriatrics and Gerontology, Obu, Japan.,Department of Frailty Research, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Shumpei Niida
- Research Institute, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Hidenori Arai
- National Center for Geriatrics and Gerontology, Obu, Japan
| | - Takashi Sakurai
- Center for Comprehensive Care and Research on Memory Disorders, National Center for Geriatrics and Gerontology, Obu, Japan.,Department of Cognition and Behavior Science, Nagoya University Graduate School of Medicine, Nagoya, Japan
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17
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van Dalen JW, Mutsaerts HJ, Petr J, Caan MW, van Charante EPM, MacIntosh BJ, van Gool WA, Nederveen AJ, Richard E. Longitudinal relation between blood pressure, antihypertensive use and cerebral blood flow, using arterial spin labelling MRI. J Cereb Blood Flow Metab 2021; 41:1756-1766. [PMID: 33325767 PMCID: PMC8217888 DOI: 10.1177/0271678x20966975] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Consistent cerebral blood flow (CBF) is fundamental to brain function. Cerebral autoregulation ensures CBF stability. Chronic hypertension can lead to disrupted cerebral autoregulation in older people, potentially leading to blood pressure levels interfering with CBF. This study tested whether low BP and AHD use are associated with contemporaneous low CBF, and whether longitudinal change in BP is associated with change in CBF, using arterial spin labelling (ASL) MRI, in a prospective longitudinal cohort of 186 community-dwelling older individuals with hypertension (77 ± 3 years, 53% female), 125 (67%) of whom with 3-year follow-up. Diastolic blood pressure, systolic blood pressure, mean arterial pressure, and pulse pressure were assessed as blood pressure parameters. As additional cerebrovascular marker, we evaluated the ASL signal spatial coefficient of variation (ASL SCoV), a measure of ASL signal heterogeneity that may reflect cerebrovascular health. We found no associations between any of the blood pressure measures and concurrent CBF nor between changes in blood pressure measures and CBF over three-year follow-up. Antihypertensive use was associated with lower grey matter CBF (-5.49 ml/100 g/min, 95%CI = -10.7|-0.27, p = 0.04) and higher ASL SCoV (0.32 SD, 95%CI = 0.12|0.52, p = 0.002). These results warrant future research on the potential relations between antihypertensive use and cerebral perfusion.
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Affiliation(s)
- Jan Willem van Dalen
- Department of Neurology, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.,Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Henri Jmm Mutsaerts
- Department of Radiology, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Jan Petr
- Institute of Radiopharmaceutical Cancer Research, Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany
| | - Matthan Wa Caan
- Department of Biomedical Engineering and Physics, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
| | - Eric P Moll van Charante
- Department of General Practice, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Bradley J MacIntosh
- Department of Medical Biophysics, University of Toronto, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Willem A van Gool
- Department of Neurology, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Aart J Nederveen
- Department of Radiology, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Edo Richard
- Department of Neurology, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.,Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
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18
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Zhou X, Zhang C, Li L, Zhang Y, Zhang W, Yin W, Yu X, Zhu X, Qian Y, Sun Z. Altered Brain Function in Cerebral Small Vessel Disease Patients With Gait Disorders: A Resting-State Functional MRI Study. Front Aging Neurosci 2020; 12:234. [PMID: 33110408 PMCID: PMC7487416 DOI: 10.3389/fnagi.2020.00234] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Accepted: 07/06/2020] [Indexed: 02/02/2023] Open
Abstract
Gait disturbances are important clinical features of cerebral small vessel disease (CSVD) that increase the risk of falls and disability. Brain structural alterations and gait disturbances in CSVD patients have been well demonstrated. However, intrinsic resting cerebral function patterns in CSVD patients with gait disorders remain largely unknown. Fifty-eight CSVD patients were enrolled in our studies and categorized into the gait disorder group (CSVD-GD, n = 29) and no-gait disorder group (CSVD-NGD, n = 29) based on a gait examination. Gait was quantitatively assessed with the Timed Up and Go test and the intelligent device for energy expenditure and activity (IDEEA). Functional MRI and fractional amplitude of low-frequency fluctuation (fALFF) analyses were employed to explore local intrinsic neural oscillation alterations. Functional connectivity based on fALFF results was calculated to detect the potential changes in remote connectivity. Compared with the CSVD-NGD group, the CSVD-GD group showed decreased fALFF in regions mainly located in the sensorimotor network and frontoparietal network, such as the left supplementary motor area (SMA.L) and the left superior parietal gyrus, and increased fALFF in the right inferior frontal gyrus (orbital part), the left caudate, and the left precuneus. Moreover, the CSVD-GD patients exhibited lower connectivity between the SMA.L and temporal lobe, which was related to gait speed. The fALFF value of the SMA.L was associated with cadence. This study highlights the regional and network interaction abnormalities of the SMA in CSVD patients with gait disturbances. These findings could provide further insight into the neural mechanisms of gait disturbances in CSVD.
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Affiliation(s)
- Xia Zhou
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Chao Zhang
- Department of Neurology, The First Affiliated Hospital of University of Science and Technology of China, Hefei, China
| | - Linlin Li
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Yimei Zhang
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Wei Zhang
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Wenwen Yin
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Xianfeng Yu
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Xiaoqun Zhu
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Yinfeng Qian
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Zhongwu Sun
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
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19
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Thomas MA, Hazany S, Ellingson BM, Hu P, Nguyen KL. Pathophysiology, classification, and MRI parallels in microvascular disease of the heart and brain. Microcirculation 2020; 27:e12648. [PMID: 32640064 DOI: 10.1111/micc.12648] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2020] [Revised: 06/12/2020] [Accepted: 07/02/2020] [Indexed: 12/13/2022]
Abstract
Diagnostic imaging technology in vascular disease has long focused on large vessels and the pathologic processes that impact them. With improved diagnostic techniques, investigators are now able to uncover many underlying mechanisms and prognostic factors for microvascular disease. In the heart and brain, these pathologic entities include coronary microvascular disease and cerebral small vessel disease, both of which have significant impact on patients, causing angina, myocardial infarction, heart failure, stroke, and dementia. In the current paper, we will discuss parallels in pathophysiology, classification, and diagnostic modalities, with a focus on the role of magnetic resonance imaging in microvascular disease of the heart and brain. Novel approaches for streamlined imaging of the cardiac and central nervous systems including the use of intravascular contrast agents such as ferumoxytol are presented, and unmet research gaps in diagnostics are summarized.
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Affiliation(s)
- Michael A Thomas
- Division of Cardiology, David Geffen School of Medicine at, UCLA and VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA.,Department of Radiology, VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA
| | - Saman Hazany
- Department of Radiology, VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA.,Department of Radiology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Benjamin M Ellingson
- Department of Radiology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Peng Hu
- Department of Radiology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Kim-Lien Nguyen
- Division of Cardiology, David Geffen School of Medicine at, UCLA and VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA.,Department of Radiology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
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20
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Li P, Wang Y, Jiang Y, Zhang K, Yang Q, Yuan Z, Zhu Z, Tang W, Fan M, Ye W, Dong Q, Jin L, Ding D, Cui M, Chen X. Cerebral small vessel disease is associated with gait disturbance among community-dwelling elderly individuals: the Taizhou imaging study. Aging (Albany NY) 2020; 12:2814-2824. [PMID: 32045885 PMCID: PMC7041732 DOI: 10.18632/aging.102779] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2019] [Accepted: 01/19/2020] [Indexed: 06/10/2023]
Abstract
Gait disturbance is considered to be a significant clinical manifestation of cerebral small vessel disease (CSVD). We aimed to investigate the association between different imaging markers of CSVD or total CSVD burden and gait disturbance in a community-dwelling population. In the cross-sectional Taizhou Imaging Study (TIS), 314 participants free of neurological disorders underwent MRI scanning and gait assessment with quantitative wearable devices as well as clinical rating scales. In linear regression, after adjustment for demographics and vascular risks, total CSVD burden was associated with prolonged 3-m walking (β=0.118, P=0.035), shorter stride length (β=-0.106, P=0.042), and poorer Timed-Up-and-Go (TUG) performance (β=0.146, P=0.009). Lacunes were positively associated with 3-m walking (β=0.118, P=0.037) and duration of TUG test (β=0.112, P=0.047). White matter hyperintensities and cerebral microbleeds were associated with prolonged stride time (β=0.134, P=0.024) and increased stance phase time percentage (β=0.115, P=0.038), respectively. Logistic regression revealed that participants with high CSVD burden or more lacunes were more likely to have an impaired gait velocity and an impaired TUG test. These results suggest that total CSVD burden and CSVD imaging markers are associated with gait disturbance among community-dwelling elderly people. Different CSVD imaging markers may cause gait disturbance through different pathways.
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Affiliation(s)
- Peixi Li
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Yingzhe Wang
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Yanfeng Jiang
- State Key Laboratory of Genetic Engineering and the Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai 200438, China
- Human Phenome Institute, Fudan University, Shanghai 200438, China
- Fudan University Taizhou Institute of Health Sciences, Taizhou 225312, Jiangsu, China
| | - Kexun Zhang
- Fudan University Taizhou Institute of Health Sciences, Taizhou 225312, Jiangsu, China
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai 200032, China
| | - Qi Yang
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Ziyu Yuan
- Fudan University Taizhou Institute of Health Sciences, Taizhou 225312, Jiangsu, China
| | - Zhen Zhu
- Fudan University Taizhou Institute of Health Sciences, Taizhou 225312, Jiangsu, China
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai 200032, China
| | - Weijun Tang
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Min Fan
- Taixing Disease Control and Prevention Center, Taizhou 225400, Jiangsu, China
| | - Weimin Ye
- Fudan University Taizhou Institute of Health Sciences, Taizhou 225312, Jiangsu, China
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm 17177, Sweden
| | - Qiang Dong
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Li Jin
- State Key Laboratory of Genetic Engineering and the Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai 200438, China
- Human Phenome Institute, Fudan University, Shanghai 200438, China
- Fudan University Taizhou Institute of Health Sciences, Taizhou 225312, Jiangsu, China
| | - Ding Ding
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Mei Cui
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Xingdong Chen
- State Key Laboratory of Genetic Engineering and the Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai 200438, China
- Human Phenome Institute, Fudan University, Shanghai 200438, China
- Fudan University Taizhou Institute of Health Sciences, Taizhou 225312, Jiangsu, China
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21
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Tuladhar AM, Tay J, van Leijsen E, Lawrence AJ, van Uden IWM, Bergkamp M, van der Holst E, Kessels RPC, Norris D, Markus HS, De Leeuw FE. Structural network changes in cerebral small vessel disease. J Neurol Neurosurg Psychiatry 2020; 91:196-203. [PMID: 31744851 DOI: 10.1136/jnnp-2019-321767] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2019] [Revised: 10/14/2019] [Accepted: 11/05/2019] [Indexed: 01/24/2023]
Abstract
OBJECTIVES To investigate whether longitudinal structural network efficiency is associated with cognitive decline and whether baseline network efficiency predicts mortality in cerebral small vessel disease (SVD). METHODS A prospective, single-centre cohort consisting of 277 non-demented individuals with SVD was conducted. In 2011 and 2015, all participants were scanned with MRI and underwent neuropsychological assessment. We computed network properties using graph theory from probabilistic tractography and calculated changes in psychomotor speed and overall cognitive index. Multiple linear regressions were performed, while adjusting for potential confounders. We divided the group into mild-to-moderate white matter hyperintensities (WMH) and severe WMH group based on median split on WMH volume. RESULTS The decline in global efficiency was significantly associated with a decline in psychomotor speed in the group with severe WMH (β=0.18, p=0.03) and a trend with change in cognitive index (β=0.14, p=0.068), which diminished after adjusting for imaging markers for SVD. Baseline global efficiency was associated with all-cause mortality (HR per decrease of 1 SD 0.43, 95% CI 0.23 to 0.80, p=0.008, C-statistic 0.76). CONCLUSION Disruption of the network efficiency, a metric assessing the efficiency of network information transfer, plays an important role in explaining cognitive decline in SVD, which was however not independent of imaging markers of SVD. Furthermore, baseline network efficiency predicts risk of mortality in SVD that may reflect the global health status of the brain in SVD. This emphasises the importance of structural network analysis in the context of SVD research and the use of network measures as surrogate markers in research setting.
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Affiliation(s)
- Anil M Tuladhar
- Department of Neurology, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Jonathan Tay
- Department of Neurology, University of Cambridge Clinical Neurosciences, Cambridge, UK
| | - Esther van Leijsen
- Department of Neurology, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Andrew J Lawrence
- Department of Psychiatry, King's College Institute of Psychiatry, Psychology, and Neuroscience, London, UK
| | - Ingeborg Wilhelmina Maria van Uden
- Department of Neurology, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Mayra Bergkamp
- Department of Neurology, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Ellen van der Holst
- Department of Neurology, Jeroen Bosch Ziekenhuis, 's-Hertogenbosch, Den Bosch, The Netherlands
| | - Roy P C Kessels
- Department of Medical Psychology, Radboud University Medical Center, Nijmegen, The Netherlands.,Department of Neuropsychology and Rehabilitation Psychology, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | | | - Hugh S Markus
- Department on Neurology, University of Cambridge, Cambridge, UK
| | - Frank-Erik De Leeuw
- Department of Neurology, Radboud University Nijmegen Medical Centre, Donders Institute for Brain, Cognition and Behaviour, Centre for Neuroscience, Nijmegen, The Netherlands
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22
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Debette S, Schilling S, Duperron MG, Larsson SC, Markus HS. Clinical Significance of Magnetic Resonance Imaging Markers of Vascular Brain Injury: A Systematic Review and Meta-analysis. JAMA Neurol 2019; 76:81-94. [PMID: 30422209 DOI: 10.1001/jamaneurol.2018.3122] [Citation(s) in RCA: 354] [Impact Index Per Article: 70.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Importance Covert vascular brain injury (VBI) is highly prevalent in community-dwelling older persons, but its clinical and therapeutic implications are debated. Objective To better understand the clinical significance of VBI to optimize prevention strategies for the most common age-related neurological diseases, stroke and dementia. Data Source We searched for articles in PubMed between 1966 and December 22, 2017, studying the association of 4 magnetic resonance imaging (MRI) markers of covert VBI (white matter hyperintensities [WMHs] of presumed vascular origin, MRI-defined covert brain infarcts [BIs], cerebral microbleeds [CMBs], and perivascular spaces [PVSs]) with incident stroke, dementia, or death. Study Selection Data were taken from prospective, longitudinal cohort studies including 50 or more adults. Data Extraction and Synthesis We performed inverse variance-weighted meta-analyses with random effects and z score-based meta-analyses for WMH burden. The significance threshold was P < .003 (17 independent tests). We complied with the Meta-analyses of Observational Studies in Epidemiology guidelines. Main Outcomes and Measures Stroke (hemorrhagic and ischemic), dementia (all and Alzheimer disease), and death. Results Of 2846 articles identified, 94 studies were eligible, with up to 14 529 participants for WMH, 16 012 participants for BI, 15 693 participants for CMB, and 4587 participants for PVS. Extensive WMH burden was associated with higher risk of incident stroke (hazard ratio [HR], 2.45; 95% CI, 1.93-3.12; P < .001), ischemic stroke (HR, 2.39; 95% CI, 1.65-3.47; P < .001), intracerebral hemorrhage (HR, 3.17; 95% CI, 1.54-6.52; P = .002), dementia (HR, 1.84; 95% CI, 1.40-2.43; P < .001), Alzheimer disease (HR, 1.50; 95% CI, 1.22-1.84; P < .001), and death (HR, 2.00; 95% CI, 1.69-2.36; P < .001). Presence of MRI-defined BIs was associated with higher risk of incident stroke (HR, 2.38; 95% CI, 1.87-3.04; P < .001), ischemic stroke (HR, 2.18; 95% CI, 1.67-2.85; P < .001), intracerebral hemorrhage (HR, 3.81; 95% CI, 1.75-8.27; P < .001), and death (HR, 1.64; 95% CI, 1.40-1.91; P < .001). Presence of CMBs was associated with increased risk of stroke (HR, 1.98; 95% CI, 1.55-2.53; P < .001), ischemic stroke (HR, 1.92; 95% CI, 1.40-2.63; P < .001), intracerebral hemorrhage (HR, 3.82; 95% CI, 2.15-6.80; P < .001), and death (HR, 1.53; 95% CI, 1.31-1.80; P < .001). Data on PVS were limited and insufficient to conduct meta-analyses but suggested an association of high PVS burden with increased risk of stroke, dementia, and death; this requires confirmation. Conclusions and Relevance We report evidence that MRI markers of VBI have major clinical significance. This research prompts careful evaluation of the benefit-risk ratio for available prevention strategies in individuals with covert VBI.
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Affiliation(s)
- Stéphanie Debette
- University of Bordeaux, Inserm 1219, Bordeaux Population Health Research Center, Bordeaux, France.,Department of Neurology, Memory Clinic, Bordeaux University Hospital, Bordeaux, France
| | - Sabrina Schilling
- University of Bordeaux, Inserm 1219, Bordeaux Population Health Research Center, Bordeaux, France
| | - Marie-Gabrielle Duperron
- University of Bordeaux, Inserm 1219, Bordeaux Population Health Research Center, Bordeaux, France
| | - Susanna C Larsson
- Stroke Research Group, Department of Clinical Neurosciences, University of Cambridge, Cambridge Biomedical Campus, Cambridge, United Kingdom.,Unit of Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Hugh S Markus
- Stroke Research Group, Department of Clinical Neurosciences, University of Cambridge, Cambridge Biomedical Campus, Cambridge, United Kingdom
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23
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Hert L, Polymeris AA, Schaedelin S, Lieb J, Seiffge DJ, Traenka C, Fladt J, Thilemann S, Gensicke H, De Marchis GM, Bonati L, Lyrer P, Engelter ST, Peters N. Small vessel disease is associated with an unfavourable outcome in stroke patients on oral anticoagulation. Eur Stroke J 2019; 5:63-72. [PMID: 32232171 DOI: 10.1177/2396987319888016] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2019] [Accepted: 10/13/2019] [Indexed: 11/16/2022] Open
Abstract
Introduction Cerebral small vessel disease is an important cause for both ischaemic stroke and intracranial haemorrhage. To date, knowledge on the impact of small vessel disease on the clinical course in stroke patients treated with oral anticoagulation for atrial fibrillation is limited. Patients and Methods Registry-based prospective observational study of 320 patients (aged 78.2 ± 9.2 years) treated with anticoagulation following atrial fibrillation stroke. Patients underwent standardised magnetic-resonance-imaging assessing measures of small vessel disease, including cerebral microbleeds and white matter hyperintensities. Median follow-up was 754 (interquartile range = [708-828]) days. Using adjusted logistic and Cox regression, we assessed the association of imaging measures with clinical outcome including recurrent ischaemic stroke, intracranial haemorrhage and death and assessed disability (modified Rankin Scale). Results Overall, recurrent ischaemic stroke was more common than intracranial haemorrhage (22 versus 8, respectively). Cerebral microbleeds were related to an increased risk of the composite endpoint (ischaemic stroke, intracranial haemorrhage, death: odds ratio (OR) 2.05, 95% confidence interval (CI) 1.27-3.31; P = 0.003), as were white matter hyperintensities (OR 2.00, 95%CI 1.23-3.27, P = 0.005). This was also true in time-to-event analysis (cerebral microbleeds: HR 2.31, 95%CI 1.39-3.52; P < 0.001; white matter hyperintensities: HR 1.99, 95%CI 1.20-3.17; P = 0.007). Both measures were associated with an increased risk for recurrent ischaemic stroke (cerebral microbleeds: HR 4.42, 95%CI 1.07-18.20; P = 0.04; white matter hyperintensities: HR 5.27, 95%CI 1.08-25.79, P = 0.04) and intracranial haemorrhage (cerebral microbleeds: HR 2.43, 95%CI 1.04-5.69; P = 0.04; white matter hyperintensities: HR 2.57, 95%CI 1.11-5.98, P = 0.03). Furthermore, confluent white matter hyperintensities were associated with increased disability (OR 4.03; 95%CI 2.16-7.52; P < 0.001) and mortality (HR 1.81, 95%CI 1.04-3.14, P = 0.04). Discussion and conclusion In atrial fibrillation stroke patients treated with oral anticoagulation, small vessel disease is associated with an unfavourable outcome. The presence of microbleeds indicated a risk higher for recurrent ischaemic stroke than for intracranial haemorrhage.
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Affiliation(s)
- Lisa Hert
- Department of Neurology and Stroke Center, University Hospital and University of Basel, Switzerland
| | - Alexandros A Polymeris
- Department of Neurology and Stroke Center, University Hospital and University of Basel, Switzerland
| | | | - Johanna Lieb
- Department of Neuroradiology, University Hospital and University of Basel, Switzerland
| | - David J Seiffge
- Department of Neurology and Stroke Center, University Hospital and University of Basel, Switzerland
| | - Christopher Traenka
- Department of Neurology and Stroke Center, University Hospital and University of Basel, Switzerland
| | - Joachim Fladt
- Department of Neurology and Stroke Center, University Hospital and University of Basel, Switzerland
| | - Sebastian Thilemann
- Department of Neurology and Stroke Center, University Hospital and University of Basel, Switzerland
| | - Henrik Gensicke
- Department of Neurology and Stroke Center, University Hospital and University of Basel, Switzerland.,Neurology and Neurorehabilitation, University Department for Medicine of Aging, Felix Platter-Hospital and University of Basel, Switzerland
| | - Gian Marco De Marchis
- Department of Neurology and Stroke Center, University Hospital and University of Basel, Switzerland
| | - Leo Bonati
- Department of Neurology and Stroke Center, University Hospital and University of Basel, Switzerland
| | - Philippe Lyrer
- Department of Neurology and Stroke Center, University Hospital and University of Basel, Switzerland
| | - Stefan T Engelter
- Department of Neurology and Stroke Center, University Hospital and University of Basel, Switzerland.,Neurology and Neurorehabilitation, University Department for Medicine of Aging, Felix Platter-Hospital and University of Basel, Switzerland
| | - Nils Peters
- Department of Neurology and Stroke Center, University Hospital and University of Basel, Switzerland.,Neurology and Neurorehabilitation, University Department for Medicine of Aging, Felix Platter-Hospital and University of Basel, Switzerland
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24
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Goldstein ED, Badi MK, Hasan TF, Lesser ER, Hodge DO, Lin MP, Meschia JF. Cerebral Small Vessel Disease Burden and All-Cause Mortality: Mayo Clinic Florida Familial Cerebrovascular Diseases Registry. J Stroke Cerebrovasc Dis 2019; 28:104285. [PMID: 31677962 DOI: 10.1016/j.jstrokecerebrovasdis.2019.07.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2018] [Revised: 06/17/2019] [Accepted: 07/03/2019] [Indexed: 10/25/2022] Open
Abstract
GOAL Cerebral small vessel disease (CSVD) leads to cognitive decline, gait disturbances, mood changes, and an increased risk of stroke. The goal of this study is to describe the relationship between a composite radiographic CSVD score and all-cause mortality. MATERIALS AND METHODS Data were collected from a prospective registry of patients with and without cerebrovascular disease from November 2010 through April 2018. The radiographic Total CSVD Score (tSVD) ranges from 0 (minimal disease) to 4 (severe disease), based on detection of lacunar infarcts, cerebral microbleeds, perivascular spaces, and subcortical or periventricular white matter hyperintensities. All-cause mortality served as the primary endpoint. The independent relationship between CSVD burden and all-cause mortality was assessed using Cox regression models with significance being P < .05. FINDINGS Four hundred and forty-nine patients were included (mean age, 63 years; 50.1% [225 of 449] women). The hazard ratio for mortality significantly increased with advancing score (1.92, P = .014 score 1; 2.92, P < .001 score 2; 4.23, P < .001 combined scores 3 and 4). Significance remained despite adjustment for coexistent cerebrovascular risk factors aside from age. CONCLUSIONS The clinically practical tSVD score may serve as a predictor for all-cause mortality in populations with high disease prevalence. Continued investigations are needed to better understand the effects of risk factor modification on mortality and pathogenesis with the goal of developing disease modifying therapies.
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Affiliation(s)
- Eric D Goldstein
- Department of Neurology, Mayo Clinic Florida, Jacksonville, Florida.
| | - Mohammed K Badi
- Department of Neurology, Mayo Clinic Florida, Jacksonville, Florida
| | - Tasneem F Hasan
- Department of Neurologic Surgery, Mayo Clinic Florida, Jacksonville, Florida
| | - Elizabeth R Lesser
- Department of Biomedical Statistics and Informatics, Mayo Clinic Florida, Jacksonville, Florida
| | - David O Hodge
- Department of Biomedical Statistics and Informatics, Mayo Clinic Florida, Jacksonville, Florida
| | - Michelle P Lin
- Department of Neurology, Mayo Clinic Florida, Jacksonville, Florida
| | - James F Meschia
- Department of Neurology, Mayo Clinic Florida, Jacksonville, Florida
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25
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Bergkamp MI, Wissink JGJ, van Leijsen EMC, Ghafoorian M, Norris DG, van Dijk EJ, Platel B, Tuladhar AM, de Leeuw FE. Risk of Nursing Home Admission in Cerebral Small Vessel Disease. Stroke 2019; 49:2659-2665. [PMID: 30355195 DOI: 10.1161/strokeaha.118.021993] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Background and Purpose- Since cerebral small vessel disease (SVD) is associated with cognitive and motor impairment and both might ultimately lead to nursing home admission, our objective was to investigate the association of SVD markers with nursing home admission. Methods- The RUN DMC study (Radboud University Nijmegen Diffusion Tensor and Magnetic Resonance Cohort) is a prospective cohort of 503 independent living individuals with SVD. Date of nursing home admission was retrieved from the Dutch municipal personal records database. Risk of nursing home admission was calculated using a competing risk analysis, with mortality as a competing risk. Results- During follow-up (median 8.7 years, interquartile range 8.5-8.9), 31 participants moved to a nursing home. Before nursing home admission, 19 participants were diagnosed with dementia, 6 with parkinsonism, and 10 with stroke. Participants with the lowest white matter volume had an 8-year risk of nursing home admission of 13.3% (95% CI, 8.6-18.9), which was significantly different from participants with middle or highest white matter volume (respectively, 4.8% [95% CI, 2.3-8.8] and 0%; P<0.001). After adjusting for baseline age and living condition, the association of white matter volume and total brain volume with nursing home admission was significant, with, respectively, hazard ratios of 0.88 [95% CI, 0.84-0.95] ( P value 0.025) and 0.92 [95% CI, 0.85-0.98] ( P<0.001) per 10 mL. The association of white matter hyperintensities and lacunes with nursing home admission was not significant. Conclusions- This study demonstrates that in SVD patients, independent from age and living condition, a lower white matter volume and a lower total brain volume is associated with an increased risk of nursing home admission. Nursing home admission is a relevant outcome in SVD research since it might be able to combine both cognitive and functional consequences of SVD in 1 outcome.
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Affiliation(s)
- Mayra I Bergkamp
- From the Department of Neurology, Centre for Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour (M.I.B., J.G.J.W., E.M.C.v.L., E.J.v.D., A.M.T., F.-E.d.L.), Radboud University Medical Centre, Nijmegen, the Netherlands
| | - Joost G J Wissink
- From the Department of Neurology, Centre for Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour (M.I.B., J.G.J.W., E.M.C.v.L., E.J.v.D., A.M.T., F.-E.d.L.), Radboud University Medical Centre, Nijmegen, the Netherlands
| | - Esther M C van Leijsen
- From the Department of Neurology, Centre for Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour (M.I.B., J.G.J.W., E.M.C.v.L., E.J.v.D., A.M.T., F.-E.d.L.), Radboud University Medical Centre, Nijmegen, the Netherlands
| | - Mohsen Ghafoorian
- Department of Radiology and Nuclear Medicine, Diagnostic Image Analysis Group (M.G., B.P.), Radboud University Medical Centre, Nijmegen, the Netherlands.,Institute for Computing and Information Sciences, (M.G.), Radboud University, Nijmegen, the Netherlands
| | - David G Norris
- Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour (D.G.N.), Radboud University, Nijmegen, the Netherlands.,Erwin L. Hahn Institute for Magnetic Resonance Imaging, University of Duisburg-Essen, Germany (D.G.N.)
| | - Ewoud J van Dijk
- From the Department of Neurology, Centre for Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour (M.I.B., J.G.J.W., E.M.C.v.L., E.J.v.D., A.M.T., F.-E.d.L.), Radboud University Medical Centre, Nijmegen, the Netherlands
| | - Bram Platel
- Department of Radiology and Nuclear Medicine, Diagnostic Image Analysis Group (M.G., B.P.), Radboud University Medical Centre, Nijmegen, the Netherlands
| | - Anil M Tuladhar
- From the Department of Neurology, Centre for Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour (M.I.B., J.G.J.W., E.M.C.v.L., E.J.v.D., A.M.T., F.-E.d.L.), Radboud University Medical Centre, Nijmegen, the Netherlands
| | - Frank-Erik de Leeuw
- From the Department of Neurology, Centre for Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour (M.I.B., J.G.J.W., E.M.C.v.L., E.J.v.D., A.M.T., F.-E.d.L.), Radboud University Medical Centre, Nijmegen, the Netherlands
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26
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Schreiber S, Wilisch-Neumann A, Schreiber F, Assmann A, Scheumann V, Perosa V, Jandke S, Mawrin C, Carare RO, Werring DJ. Invited Review: The spectrum of age-related small vessel diseases: potential overlap and interactions of amyloid and nonamyloid vasculopathies. Neuropathol Appl Neurobiol 2019; 46:219-239. [PMID: 31386773 DOI: 10.1111/nan.12576] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2019] [Revised: 07/10/2019] [Accepted: 07/11/2019] [Indexed: 12/12/2022]
Abstract
Deep perforator arteriopathy (DPA) and cerebral amyloid angiopathy (CAA) are the commonest known cerebral small vessel diseases (CSVD), which cause ischaemic stroke, intracebral haemorrhage (ICH) and vascular cognitive impairment (VCI). While thus far mainly considered as separate entities, we here propose that DPA and CAA share similarities, overlap and interact, so that 'pure' DPA or CAA are extremes along a continuum of age-related small vessel pathologies. We suggest blood-brain barrier (BBB) breakdown, endothelial damage and impaired perivascular β-amyloid (Aβ) drainage are hallmark common mechanisms connecting DPA and CAA. We also suggest a need for new biomarkers (e.g. high-resolution imaging) to deepen understanding of the complex relationships between DPA and CAA.
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Affiliation(s)
- S Schreiber
- Department of Neurology, Otto-von-Guericke University, Magdeburg, Germany.,German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, Magdeburg, Germany.,Center for behavioral brain sciences (CBBS), Magdeburg, Germany
| | - A Wilisch-Neumann
- Department of Neurology, Otto-von-Guericke University, Magdeburg, Germany.,German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, Magdeburg, Germany
| | - F Schreiber
- Department of Neurology, Otto-von-Guericke University, Magdeburg, Germany.,German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, Magdeburg, Germany
| | - A Assmann
- Department of Neurology, Otto-von-Guericke University, Magdeburg, Germany.,German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, Magdeburg, Germany
| | - V Scheumann
- Department of Neurology, Otto-von-Guericke University, Magdeburg, Germany
| | - V Perosa
- Department of Neurology, Otto-von-Guericke University, Magdeburg, Germany.,German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, Magdeburg, Germany
| | - S Jandke
- Department of Neurology, Otto-von-Guericke University, Magdeburg, Germany.,German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association, Magdeburg, Germany
| | - C Mawrin
- Department of Neuropathology, Otto-von-Guericke University, Magdeburg, Germany
| | - R O Carare
- Faculty of Medicine, University of Southampton, Southampton, UK
| | - D J Werring
- Stroke Research Centre, Department of Brain Repair & Rehabilitation, UCL Institute of Neurology, The National Hospital for Neurology and Neurosurgery, London, UK
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27
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Remote ischemic conditioning improves cognition in patients with subcortical ischemic vascular dementia. BMC Neurol 2019; 19:206. [PMID: 31443692 PMCID: PMC6706912 DOI: 10.1186/s12883-019-1435-y] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2019] [Accepted: 08/18/2019] [Indexed: 01/27/2023] Open
Abstract
BACKGROUND Subcortical ischemic vascular dementia (SIVD) is very common among the older people, but has no approved treatment. Preclinical trials show that remote ischemic conditioning (RIC) reduces recurrence of ischemic stroke. We hypothesize that RIC may also be an effective therapy for patients with SIVD. METHODS Thirty-seven consecutive SIVD cases were enrolled in this randomized control study. Eighteen RIC patients underwent five brief cycles of conditioning (bilateral upper limb compression at 200 mmHg) followed by reperfusion twice daily over 6 consecutive months. Nineteen control patients underwent the same process, but at a pressure of 60 mmHg which caused no restriction on the blood flow of the upper limb. The primary outcome measures were changes in neuropsychological assessments. The secondary outcomes included the changes in high-sensitive C-reactive protein (hs-CRP) concentration, white matter lesion volume (WMLV), diffusion tension imaging (DTI) metrics of white matter. All data were collected at baseline and follow-up. RESULTS A significant treatment difference favoring RIC at 6 months was observed on performance of Hopkins Verbal Learning Test-Revised (HVLT-R), Controlled Oral Word Association Test (COWAT), Trail Making Test A and B (TMT-A & TMT-B), and Judgment of Line Orientation (JLO) (p < 0.05). The control group did not show much improvement after the treatment, and only with a slight change in HVLT-R and TMT-R (p < 0.05). Covariance analysis of efficacy between the two groups suggested that RIC patients performed better on JLO than control patients at the 6-month follow-up (RIC 23.10 vs. control 18.56; p = 0.013). Although DTI metrics were comparable, Hs-CRP levels and WMLV in RIC patients showed a declining trend. CONCLUSIONS Over the 6-month treatment period, we found that RIC was safe and effective for improving cognitive function in SIVD patients. TRIAL REGISTRATION Clinical Trial Registration ( http://www.clinicaltrials.gov ), Unique identifier: NCT03022149; Retrospectively registered; Date of registration: January 16, 2017.
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Abstract
Objective: The purpose of this critical review was to evaluate the current state of research regarding the incremental value of neuropsychological assessment in clinical practice, above and beyond what can be accounted for on the basis of demographic, medical, and other diagnostic variables. The focus was on neurological and other medical conditions across the lifespan where there is known risk for presence or future development of cognitive impairment.Method: Eligible investigations were group studies that had been published after 01/01/2000 in English in peer-reviewed journals and that had used standardized neuropsychological measures and reported on objective outcome criterion variables. They were identified through PubMed and PsychInfo electronic databases on the basis of predefined specific selection criteria. Reference lists of identified articles were also reviewed to identify potential additional sources. The Grades of Recommendation, Assessment, Development and Evaluation Working Group's (GRADE) criteria were used to evaluate quality of studies.Results: Fifty-six studies met the final selection criteria, including 2 randomized-controlled trials, 9 prospective cohort studies, 12 retrospective cohort studies, 21 inception cohort studies, 2 case control studies, and 10 case series studies. The preponderance of the evidence was strongly supportive with regard to the incremental value of neuropsychological assessment in the care of persons with mild cognitive impairment/dementia and traumatic brain injury. Evidence was moderately supportive with regard to stroke, epilepsy, multiple sclerosis, and attention-deficit/hyperactivity disorder. Participation in neuropsychological evaluations was also associated with cost savings.Conclusions: Neuropsychological assessment can improve both diagnostic classification and prediction of long-term daily-life outcomes in patients across the lifespan. Future high-quality prospective cohort studies and randomized-controlled trials are necessary to demonstrate more definitively the incremental value of neuropsychological assessment in the management of patients with various neurological and other medical conditions.
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Affiliation(s)
- Jacobus Donders
- Department of Psychology, Mary Free Bed Rehabilitation Hospital, Grand Rapids, MI, USA
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Ghanavati T, Smitt MS, Lord SR, Sachdev P, Wen W, Kochan NA, Brodaty H, Delbaere K. Deep white matter hyperintensities, microstructural integrity and dual task walking in older people. Brain Imaging Behav 2019; 12:1488-1496. [PMID: 29297156 DOI: 10.1007/s11682-017-9787-7] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
To examine neural, physiological and cognitive influences on gait speed under single and dual-task conditions. Sixty-two community-dwelling older people (aged 80.0 ± 4.2 years) participated in our study. Gait speed was assessed with a timed 20-meter walk under single and dual-task (reciting alternate letters of the alphabet) conditions. Participants also underwent tests to estimate physiological fall risk based on five measures of sensorimotor function, cognitive function across five domains, brain white matter (WM) hyperintensities and WM microstructural integrity by measuring fractional anisotropy (FA). Univariate linear regression analyses showed that global physiological and cognitive measures were associated with single (β = 0.594 and β=-0.297, respectively) and dual-task gait speed (β = 0.306 and β=-0.362, respectively). Deep WMHs were associated with dual-task gait speed only (β = 0.257). Multivariate mediational analyses showed that global and executive cognition reduced the strength of the association between deep WMHs and dual-task gait speed by 27% (β = 0.188) and 44% (β = 0.145) respectively. There was a significant linear association between single-task gait speed and mean FA values of the genu (β=-0.295) and splenium (β=-0.326) of the corpus callosum, and between dual-task gait speed and mean FA values of Superior Cerebellar Peduncle (β=-0.284), splenium of the Corpus Callosum (β=-0.286) and Cingulum (β=-0.351). Greater deep WMH volumes are associated with slower walking speed under dual-task conditions, and this relationship is mediated in part by global cognition and executive abilities specifically. Furthermore, both cerebellum and cingulum are related to dual-task walking due to their role in motor skill performance and attention, respectively.
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Affiliation(s)
- Tabassom Ghanavati
- Department of Physiotherapy Faculty of Rehabilitation, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Myriam Sillevis Smitt
- Neuroscience Research Australia, University of New South Wales, NeuRA, Margarete Ainsworth Building, Barker Street, Randwick, NSW, 2031, Australia
| | - Stephen R Lord
- Neuroscience Research Australia, University of New South Wales, NeuRA, Margarete Ainsworth Building, Barker Street, Randwick, NSW, 2031, Australia
| | - Perminder Sachdev
- Centre for Healthy Brain Ageing (CHeBA) School of Psychiatry UNSW Medicine, University of New South Wales, Sydney, Australia.,Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, Australia
| | - Wei Wen
- Centre for Healthy Brain Ageing (CHeBA) School of Psychiatry UNSW Medicine, University of New South Wales, Sydney, Australia
| | - Nicole A Kochan
- Centre for Healthy Brain Ageing (CHeBA) School of Psychiatry UNSW Medicine, University of New South Wales, Sydney, Australia.,Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, Australia
| | - Henry Brodaty
- Centre for Healthy Brain Ageing (CHeBA) School of Psychiatry UNSW Medicine, University of New South Wales, Sydney, Australia.,Dementia Collaborative Research Centre UNSW Medicine, University of New South Wales, Sydney, Australia
| | - Kim Delbaere
- Neuroscience Research Australia, University of New South Wales, NeuRA, Margarete Ainsworth Building, Barker Street, Randwick, NSW, 2031, Australia.
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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: 55] [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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Raja R, Rosenberg G, Caprihan A. Review of diffusion MRI studies in chronic white matter diseases. Neurosci Lett 2019; 694:198-207. [PMID: 30528980 PMCID: PMC6380179 DOI: 10.1016/j.neulet.2018.12.007] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2018] [Revised: 12/03/2018] [Accepted: 12/04/2018] [Indexed: 02/07/2023]
Abstract
Diffusion MRI studies characterizing the changes in white matter (WM) due to vascular cognitive impairment, which includes all forms of small vessel disease are reviewed. We reviewed the usefulness of diffusion methods in discriminating the affected WM regions and its relation to cognitive impairment. These studies were categorized based on the diffusion MRI techniques used. The most common method was the diffusion tensor imaging, whereas other methods included diffusion weighted imaging, diffusion kurtosis imaging, intravoxel incoherent motion, and studies based on diffusion tractography. The diffusion measures showed correlation with cognitive scores and disease progression, with mean diffusivity being the most robust parameter. Future studies should focus on incorporating multi-compartment and higher order diffusion models, which can handle the presence of multiple and crossing fibers inside a voxel.
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Affiliation(s)
- Rajikha Raja
- The MIND Research Network, Albuquerque, NM, United States.
| | - Gary Rosenberg
- Department of Neurology, University of New Mexico Health Sciences Center, Albuquerque, NM, United States
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32
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Veronese N, Stubbs B, Volpato S, Zuliani G, Maggi S, Cesari M, Lipnicki DM, Smith L, Schofield P, Firth J, Vancampfort D, Koyanagi A, Pilotto A, Cereda E. Association Between Gait Speed With Mortality, Cardiovascular Disease and Cancer: A Systematic Review and Meta-analysis of Prospective Cohort Studies. J Am Med Dir Assoc 2018; 19:981-988.e7. [DOI: 10.1016/j.jamda.2018.06.007] [Citation(s) in RCA: 87] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2018] [Revised: 04/25/2018] [Accepted: 06/04/2018] [Indexed: 12/21/2022]
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33
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Cuadrado-Godia E, Dwivedi P, Sharma S, Ois Santiago A, Roquer Gonzalez J, Balcells M, Laird J, Turk M, Suri HS, Nicolaides A, Saba L, Khanna NN, Suri JS. Cerebral Small Vessel Disease: A Review Focusing on Pathophysiology, Biomarkers, and Machine Learning Strategies. J Stroke 2018; 20:302-320. [PMID: 30309226 PMCID: PMC6186915 DOI: 10.5853/jos.2017.02922] [Citation(s) in RCA: 159] [Impact Index Per Article: 26.5] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2017] [Accepted: 04/02/2018] [Indexed: 12/15/2022] Open
Abstract
Cerebral small vessel disease (cSVD) has a crucial role in lacunar stroke and brain hemorrhages and is a leading cause of cognitive decline and functional loss in elderly patients. Based on underlying pathophysiology, cSVD can be subdivided into amyloidal and non-amyloidal subtypes. Genetic factors of cSVD play a pivotal role in terms of unraveling molecular mechanism. An important pathophysiological mechanism of cSVD is blood-brain barrier leakage and endothelium dysfunction which gives a clue in identification of the disease through circulating biological markers. Detection of cSVD is routinely carried out by key neuroimaging markers including white matter hyperintensities, lacunes, small subcortical infarcts, perivascular spaces, cerebral microbleeds, and brain atrophy. Application of neural networking, machine learning and deep learning in image processing have increased significantly for correct severity of cSVD. A linkage between cSVD and other neurological disorder, such as Alzheimer's and Parkinson's disease and non-cerebral disease, has also been investigated recently. This review draws a broad picture of cSVD, aiming to inculcate new insights into its pathogenesis and biomarkers. It also focuses on the role of deep machine strategies and other dimensions of cSVD by linking it with several cerebral and non-cerebral diseases as well as recent advances in the field to achieve sensitive detection, effective prevention and disease management.
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Affiliation(s)
- Elisa Cuadrado-Godia
- Department of Neurology, Hospital del Mar Medical Research Institute, Barcelona, Spain
| | | | - Sanjiv Sharma
- Department of Computer Science & Engineering and Information Technology, Madhav Institute of Technology and Science, Gwalior, India
| | - Angel Ois Santiago
- Department of Neurology, Hospital del Mar Medical Research Institute, Barcelona, Spain
| | - Jaume Roquer Gonzalez
- Department of Neurology, Hospital del Mar Medical Research Institute, Barcelona, Spain
| | - Mercedes Balcells
- Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA.,Department of Biological Engineering, IQS School of Engineering, Barcelona, Spain
| | - John Laird
- Department of Cardiology, St. Helena Hospital, St. Helena, CA, USA
| | - Monika Turk
- Deparment of Neurology, University Medical Centre Maribor, Maribor, Slovenia
| | | | | | - Luca Saba
- Department of Radiology, Azienda Ospedaliero Universitaria, Cagliari, Italy
| | | | - Jasjit S Suri
- Stroke Monitoring Division, AtheroPoint, Roseville, CA, USA
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Charidimou A, Shams S, Romero JR, Ding J, Veltkamp R, Horstmann S, Eiriksdottir G, van Buchem MA, Gudnason V, Himali J, Gurol ME, Viswanathan A, Imaizumi T, Vernooij MW, Seshadri S, Greenberg SM, Benavente OR, Launer LJ, Shoamanesh A. Clinical significance of cerebral microbleeds on MRI: A comprehensive meta-analysis of risk of intracerebral hemorrhage, ischemic stroke, mortality, and dementia in cohort studies (v1). Int J Stroke 2018; 13:454-468. [PMID: 29338604 PMCID: PMC6123529 DOI: 10.1177/1747493017751931] [Citation(s) in RCA: 70] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background Cerebral microbleeds can confer a high risk of intracerebral hemorrhage, ischemic stroke, death and dementia, but estimated risks remain imprecise and often conflicting. We investigated the association between cerebral microbleeds presence and these outcomes in a large meta-analysis of all published cohorts including: ischemic stroke/TIA, memory clinic, "high risk" elderly populations, and healthy individuals in population-based studies. Methods Cohorts (with > 100 participants) that assessed cerebral microbleeds presence on MRI, with subsequent follow-up (≥3 months) were identified. The association between cerebral microbleeds and each of the outcomes (ischemic stroke, intracerebral hemorrhage, death, and dementia) was quantified using random effects models of (a) unadjusted crude odds ratios and (b) covariate-adjusted hazard rations. Results We identified 31 cohorts ( n = 20,368): 19 ischemic stroke/TIA ( n = 7672), 4 memory clinic ( n = 1957), 3 high risk elderly ( n = 1458) and 5 population-based cohorts ( n = 11,722). Cerebral microbleeds were associated with an increased risk of ischemic stroke (OR: 2.14; 95% CI: 1.58-2.89 and adj-HR: 2.09; 95% CI: 1.71-2.57), but the relative increase in future intracerebral hemorrhage risk was greater (OR: 4.65; 95% CI: 2.68-8.08 and adj-HR: 3.93; 95% CI: 2.71-5.69). Cerebral microbleeds were an independent predictor of all-cause mortality (adj-HR: 1.36; 95% CI: 1.24-1.48). In three population-based studies, cerebral microbleeds were independently associated with incident dementia (adj-HR: 1.35; 95% CI: 1.00-1.82). Results were overall consistent in analyses stratified by different populations, but with different degrees of heterogeneity. Conclusions Our meta-analysis shows that cerebral microbleeds predict an increased risk of stroke, death, and dementia and provides up-to-date effect sizes across different clinical settings. These pooled estimates can inform clinical decisions and trials, further supporting cerebral microbleeds role as biomarkers of underlying subclinical brain pathology in research and clinical settings.
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Affiliation(s)
- Andreas Charidimou
- Department of Neurology, Harvard Medical School, J. Philip
Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA,
USA
- Cochrane Methods, Individual Patient Data Meta-analysis
Group
| | - Sara Shams
- Department of Clinical Science, Intervention, and
Technology, Division of Medical Imaging and Technology, Karolinska Institutet,
Stockholm, Sweden; Department of Radiology, Karolinska University Hospital,
Stockholm, Sweden
| | - Jose R Romero
- Department of Neurology, Boston University School of
Medicine, and the NHLBI’s Framingham Heart Study, Framingham,
Massachusetts
| | - Jie Ding
- Laboratory of Epidemiology and Population Sciences,
National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Roland Veltkamp
- Department of Neurology, University of Heidelberg,
Heidelberg, Germany
- Department of Stroke Medicine, Division of Brain Sciences,
Imperial College London, London, UK
| | - Solveig Horstmann
- Department of Neurology, University of Heidelberg,
Heidelberg, Germany
| | | | - Mark A van Buchem
- Department of Radiology, Leiden University Medical Center,
Leiden, the Netherlands
| | | | - JayandraJ Himali
- Department of Neurology, Boston University School of
Medicine, and the NHLBI’s Framingham Heart Study, Framingham,
Massachusetts
- Department of Biostatistics, Boston University School of
Public Health, Boston, MA, USA
| | - M Edip Gurol
- Department of Neurology, Harvard Medical School, J. Philip
Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA,
USA
| | - Anand Viswanathan
- Department of Neurology, Harvard Medical School, J. Philip
Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA,
USA
| | - Toshio Imaizumi
- Department of Neurosurgery, Kushiro City General
Hospital, Kushiro, Japan
| | - Meike W Vernooij
- Department of Epidemiology and Department of Radiology
and Nuclear Medicine; Erasmus MC University Medical Center, Rotterdam, the
Netherlands
| | - Sudha Seshadri
- Department of Neurology, Boston University School of
Medicine, and the NHLBI’s Framingham Heart Study, Framingham,
Massachusetts
| | - Steven M Greenberg
- Department of Neurology, Harvard Medical School, J. Philip
Kistler Stroke Research Center, Massachusetts General Hospital, Boston, MA,
USA
| | - Oscar R Benavente
- Division of Neurology, Department of Medicine, Stroke and
Cerebrovascular Health Program, University of British Columbia, UBC Hospital,
Vancouver, British Columbia, Canada
| | - Lenore J Launer
- Laboratory of Epidemiology and Population Sciences,
National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Ashkan Shoamanesh
- Department of Medicine (Neurology), McMaster University
and Population Health Research Institute, Hamilton, Ontario, Canada
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35
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Heiss WD. The Additional Value of PET in the Assessment of Cerebral Small Vessel Disease. J Nucl Med 2018; 59:1660-1664. [DOI: 10.2967/jnumed.118.214270] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2018] [Accepted: 06/11/2018] [Indexed: 11/16/2022] Open
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36
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Su N, Liang X, Zhai FF, Zhou LX, Ni J, Yao M, Tian F, Zhang SY, Jin ZY, Cui LY, Gong G, Zhu YC. The consequence of cerebral small vessel disease: Linking brain atrophy to motor impairment in the elderly. Hum Brain Mapp 2018; 39:4452-4461. [PMID: 29956412 DOI: 10.1002/hbm.24284] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2018] [Revised: 05/31/2018] [Accepted: 06/12/2018] [Indexed: 11/08/2022] Open
Abstract
In the elderly, brain structural deficits and gait disturbances due to cerebral small vessel disease (CSVD) have been well demonstrated. The relationships among CSVD, brain atrophy, and motor impairment, however, are far from conclusive. Particularly, the effect of CSVD on subcortical nuclear atrophy, motor performance of upper extremities, and associating patterns between brain atrophy and motor impairment remains largely unknown. To address these gaps, this study recruited 770 community-dwelling subjects (35-82 years of age), including both CSVD and non-CSVD individuals. For each subject, four motor tests involving upper and lower extremities were completed. High-resolution structural MRI was applied to extract gray matter (GM) volume, white matter volume, cortical thickness, surface area, and subcortical nuclear (caudate, putamen, pallidum, and thalamus) volumes. The results showed worse motor performance of lower extremities but relatively preserved performance of upper extremities in the CSVD group. Intriguingly, there was a significant association between the worse performance of upper extremities and atrophy of whole-brain GM and pallidum in the CSVD group but not in the non-CSVD group. In addition, mediation analysis confirmed a functional CSVD-to-"brain atrophy"-to-"motor impairment" pathway, that is, a mediating role of thalamic atrophy in the CSVD effect on walking speed in the elderly, indicating that CSVD impairs walking performance through damaging the integrity of the thalamus in aging populations. These findings provide important insight into the functional consequences of CSVD and highlight the importance of evaluating upper extremities functions and exploring their brain mechanisms in CSVD populations during aging.
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Affiliation(s)
- Ning Su
- Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xinyu Liang
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Fei-Fei Zhai
- Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Li-Xin Zhou
- Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jun Ni
- Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ming Yao
- Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Feng Tian
- State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing, China
| | - Shu-Yang Zhang
- Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zheng-Yu Jin
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Li-Ying Cui
- Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Gaolang Gong
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.,Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China
| | - Yi-Cheng Zhu
- Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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Jeong SH, Ahn SS, Baik M, Kim KH, Yoo J, Kim K, Lee HS, Ha J, Kim YD, Heo JH, Nam HS. Impact of white matter hyperintensities on the prognosis of cryptogenic stroke patients. PLoS One 2018; 13:e0196014. [PMID: 29702667 PMCID: PMC5922577 DOI: 10.1371/journal.pone.0196014] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2017] [Accepted: 04/04/2018] [Indexed: 01/22/2023] Open
Abstract
Background To our knowledge, little is known regarding whether white matter hyperintensities (WMH) affect the prognosis of cryptogenic stroke (CS) patients. Understanding this association may be helpful with expecting the prognosis of CS patients. Methods This retrospective observational study enrolled consecutive CS patients who underwent brain MRI and comprehensive cardiac evaluation. Severe WMH was defined as Fazekas’ score ≥3. We defined poor functional outcome as modified Rankin Scale score ≥3 at 3 months. Long-term mortality and causes of death were identified using national death certificates and assessed by Kaplan-Meier method and regression analysis model. Results Among 2732 patients with first-ever ischemic stroke, 599 (21.9%) patients were classified as having CS. After exclusions, 235 patients were enrolled and followed up for a median of 7.7 years (IQR, 6.7–9.0). Severe WMH were found in 81 (34.5%) patients. After adjustments, severe WMH were an independent predictor for poor functional outcomes at 3 months (OR 5.25, 95% CI, 2.07–13.31). Subgroup analysis showed that severe WMH were an independent predictor for long-term mortality only in younger patients (age < 65) (HR 3.11, 95% CI, 1.29–7.50), but not in older patients (HR 1.19, 95% CI, 0.63–2.23). Conclusions Severe WMH were independently associated with short-term functional outcomes in CS patients and independently associated with long-term mortality in younger CS patients. Grading WMH is of value in predicting prognosis of CS patients with young age.
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Affiliation(s)
- Seong Ho Jeong
- Department of Neurology, Yonsei University College of Medicine, Seoul, Korea
| | - Sung Soo Ahn
- Department of Radiology, Yonsei University College of Medicine, Seoul, Korea
| | - Minyoul Baik
- Department of Neurology, Yonsei University College of Medicine, Seoul, Korea
| | - Ki Hoon Kim
- Department of Neurology, Yonsei University College of Medicine, Seoul, Korea
| | - JoonSang Yoo
- Department of Neurology, Yonsei University College of Medicine, Seoul, Korea
- Department of Neurology, Keimyung University School of Medicine, Daegu, Korea
| | - Kyoungsub Kim
- Department of Neurology, Yonsei University College of Medicine, Seoul, Korea
| | - Hye Sun Lee
- Department of Biostatistics, Yonsei University College of Medicine, Seoul, Korea
| | - Jimin Ha
- Brain Korea 21 Plus Project for Medical Science, Yonsei University, Seoul, Korea
| | - Young Dae Kim
- Department of Neurology, Yonsei University College of Medicine, Seoul, Korea
| | - Ji Hoe Heo
- Department of Neurology, Yonsei University College of Medicine, Seoul, Korea
| | - Hyo Suk Nam
- Department of Neurology, Yonsei University College of Medicine, Seoul, Korea
- * E-mail:
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38
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Lopez OL, Becker JT, Chang Y, Klunk WE, Mathis C, Price J, Aizenstein HJ, Snitz B, Cohen AD, DeKosky ST, Ikonomovic M, Kamboh MI, Kuller LH. Amyloid deposition and brain structure as long-term predictors of MCI, dementia, and mortality. Neurology 2018; 90:e1920-e1928. [PMID: 29695596 DOI: 10.1212/wnl.0000000000005549] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2017] [Accepted: 03/14/2018] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVES To test the hypothesis that brain structural integrity (i.e., hippocampal [HIP] volume), white matter lesions (WMLs), and β-amyloid deposition are associated with long-term increased risk of incident dementia and mortality in 183 cognitively normal individuals and patients with mild cognitive impairment (MCI) aged 80 years and older. METHODS All participants had a brain structural MRI scan and PET scan with 11C-labeled Pittsburgh compound B in 2009 and were reexamined yearly through 2015 (mean follow-up time 5.2 ± 1.3 years). RESULTS In the last evaluation through 2010-2015, 56 (31%) participants were cognitively normal, 67 (37%) had MCI, and 60 (33%) had dementia. Fifty-seven (31%) died during follow-up, and 20 (35%) developed dementia before their death. All 3 biomarkers were independent predictors of incident dementia in all participants. After adjusting for the risk of dying, amyloid deposition and WMLs remained strong predictors. Of the 60 participants with incident dementia, 54 (90%) had at least one imaging abnormality. Participants with no biomarker positivity had a very low risk of dementia (16%), while 75% of the participants with the 3 biomarkers progressed to dementia. HIP volume and β-amyloid deposition were associated with death only in participants with MCI. CONCLUSIONS This study showed the presence of more than one biomarker was a stronger long-term predictor of incident dementia than any biomarker alone. After adjusting for the risk of dying, amyloid deposition and WMLs were stronger predictors of dementia than HIP volume. The risk of dying during follow-up was associated with both neurodegeneration and amyloid deposition, especially in individuals with MCI.
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Affiliation(s)
- Oscar L Lopez
- From the Departments of Neurology (O.L.L., J.T.B., B.S., M.I.), Psychiatry (O.L.L., J.T.B., W.E.K., H.J.A., A.D.C.), Psychology (J.T.B.), Neurosurgery (Y.C.), Epidemiology, Graduate School of Public Health (Y.C., L.H.K.), Radiology (C.M., J.P.), Pharmaceutical Sciences (C.M.), and Genetics (M.I.K.), University of Pittsburgh, School of Medicine, PA; and Department of Neurology (S.T.D.), University of Florida, Gainesville.
| | - James T Becker
- From the Departments of Neurology (O.L.L., J.T.B., B.S., M.I.), Psychiatry (O.L.L., J.T.B., W.E.K., H.J.A., A.D.C.), Psychology (J.T.B.), Neurosurgery (Y.C.), Epidemiology, Graduate School of Public Health (Y.C., L.H.K.), Radiology (C.M., J.P.), Pharmaceutical Sciences (C.M.), and Genetics (M.I.K.), University of Pittsburgh, School of Medicine, PA; and Department of Neurology (S.T.D.), University of Florida, Gainesville
| | - YueFang Chang
- From the Departments of Neurology (O.L.L., J.T.B., B.S., M.I.), Psychiatry (O.L.L., J.T.B., W.E.K., H.J.A., A.D.C.), Psychology (J.T.B.), Neurosurgery (Y.C.), Epidemiology, Graduate School of Public Health (Y.C., L.H.K.), Radiology (C.M., J.P.), Pharmaceutical Sciences (C.M.), and Genetics (M.I.K.), University of Pittsburgh, School of Medicine, PA; and Department of Neurology (S.T.D.), University of Florida, Gainesville
| | - William E Klunk
- From the Departments of Neurology (O.L.L., J.T.B., B.S., M.I.), Psychiatry (O.L.L., J.T.B., W.E.K., H.J.A., A.D.C.), Psychology (J.T.B.), Neurosurgery (Y.C.), Epidemiology, Graduate School of Public Health (Y.C., L.H.K.), Radiology (C.M., J.P.), Pharmaceutical Sciences (C.M.), and Genetics (M.I.K.), University of Pittsburgh, School of Medicine, PA; and Department of Neurology (S.T.D.), University of Florida, Gainesville
| | - Chester Mathis
- From the Departments of Neurology (O.L.L., J.T.B., B.S., M.I.), Psychiatry (O.L.L., J.T.B., W.E.K., H.J.A., A.D.C.), Psychology (J.T.B.), Neurosurgery (Y.C.), Epidemiology, Graduate School of Public Health (Y.C., L.H.K.), Radiology (C.M., J.P.), Pharmaceutical Sciences (C.M.), and Genetics (M.I.K.), University of Pittsburgh, School of Medicine, PA; and Department of Neurology (S.T.D.), University of Florida, Gainesville
| | - Julia Price
- From the Departments of Neurology (O.L.L., J.T.B., B.S., M.I.), Psychiatry (O.L.L., J.T.B., W.E.K., H.J.A., A.D.C.), Psychology (J.T.B.), Neurosurgery (Y.C.), Epidemiology, Graduate School of Public Health (Y.C., L.H.K.), Radiology (C.M., J.P.), Pharmaceutical Sciences (C.M.), and Genetics (M.I.K.), University of Pittsburgh, School of Medicine, PA; and Department of Neurology (S.T.D.), University of Florida, Gainesville
| | - Howard J Aizenstein
- From the Departments of Neurology (O.L.L., J.T.B., B.S., M.I.), Psychiatry (O.L.L., J.T.B., W.E.K., H.J.A., A.D.C.), Psychology (J.T.B.), Neurosurgery (Y.C.), Epidemiology, Graduate School of Public Health (Y.C., L.H.K.), Radiology (C.M., J.P.), Pharmaceutical Sciences (C.M.), and Genetics (M.I.K.), University of Pittsburgh, School of Medicine, PA; and Department of Neurology (S.T.D.), University of Florida, Gainesville
| | - Beth Snitz
- From the Departments of Neurology (O.L.L., J.T.B., B.S., M.I.), Psychiatry (O.L.L., J.T.B., W.E.K., H.J.A., A.D.C.), Psychology (J.T.B.), Neurosurgery (Y.C.), Epidemiology, Graduate School of Public Health (Y.C., L.H.K.), Radiology (C.M., J.P.), Pharmaceutical Sciences (C.M.), and Genetics (M.I.K.), University of Pittsburgh, School of Medicine, PA; and Department of Neurology (S.T.D.), University of Florida, Gainesville
| | - Ann D Cohen
- From the Departments of Neurology (O.L.L., J.T.B., B.S., M.I.), Psychiatry (O.L.L., J.T.B., W.E.K., H.J.A., A.D.C.), Psychology (J.T.B.), Neurosurgery (Y.C.), Epidemiology, Graduate School of Public Health (Y.C., L.H.K.), Radiology (C.M., J.P.), Pharmaceutical Sciences (C.M.), and Genetics (M.I.K.), University of Pittsburgh, School of Medicine, PA; and Department of Neurology (S.T.D.), University of Florida, Gainesville
| | - Steven T DeKosky
- From the Departments of Neurology (O.L.L., J.T.B., B.S., M.I.), Psychiatry (O.L.L., J.T.B., W.E.K., H.J.A., A.D.C.), Psychology (J.T.B.), Neurosurgery (Y.C.), Epidemiology, Graduate School of Public Health (Y.C., L.H.K.), Radiology (C.M., J.P.), Pharmaceutical Sciences (C.M.), and Genetics (M.I.K.), University of Pittsburgh, School of Medicine, PA; and Department of Neurology (S.T.D.), University of Florida, Gainesville
| | - Milos Ikonomovic
- From the Departments of Neurology (O.L.L., J.T.B., B.S., M.I.), Psychiatry (O.L.L., J.T.B., W.E.K., H.J.A., A.D.C.), Psychology (J.T.B.), Neurosurgery (Y.C.), Epidemiology, Graduate School of Public Health (Y.C., L.H.K.), Radiology (C.M., J.P.), Pharmaceutical Sciences (C.M.), and Genetics (M.I.K.), University of Pittsburgh, School of Medicine, PA; and Department of Neurology (S.T.D.), University of Florida, Gainesville
| | - M Ilyas Kamboh
- From the Departments of Neurology (O.L.L., J.T.B., B.S., M.I.), Psychiatry (O.L.L., J.T.B., W.E.K., H.J.A., A.D.C.), Psychology (J.T.B.), Neurosurgery (Y.C.), Epidemiology, Graduate School of Public Health (Y.C., L.H.K.), Radiology (C.M., J.P.), Pharmaceutical Sciences (C.M.), and Genetics (M.I.K.), University of Pittsburgh, School of Medicine, PA; and Department of Neurology (S.T.D.), University of Florida, Gainesville
| | - Lewis H Kuller
- From the Departments of Neurology (O.L.L., J.T.B., B.S., M.I.), Psychiatry (O.L.L., J.T.B., W.E.K., H.J.A., A.D.C.), Psychology (J.T.B.), Neurosurgery (Y.C.), Epidemiology, Graduate School of Public Health (Y.C., L.H.K.), Radiology (C.M., J.P.), Pharmaceutical Sciences (C.M.), and Genetics (M.I.K.), University of Pittsburgh, School of Medicine, PA; and Department of Neurology (S.T.D.), University of Florida, Gainesville
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39
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Disease progression and regression in sporadic small vessel disease-insights from neuroimaging. Clin Sci (Lond) 2017; 131:1191-1206. [PMID: 28566448 DOI: 10.1042/cs20160384] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2016] [Revised: 02/23/2017] [Accepted: 02/27/2017] [Indexed: 01/17/2023]
Abstract
Cerebral small vessel disease (SVD) is considered the most important vascular contributor to the development of dementia. Comprehensive characterization of the time course of disease progression will result in better understanding of aetiology and clinical consequences of SVD. SVD progression has been studied extensively over the years, usually describing change in SVD markers over time using neuroimaging at two time points. As a consequence, SVD is usually seen as a rather linear, continuously progressive process. This assumption of continuous progression of SVD markers was recently challenged by several studies that showed regression of SVD markers. Here, we provide a review on disease progression in sporadic SVD, thereby taking into account both progression and regression of SVD markers with emphasis on white matter hyperintensities (WMH), lacunes and microbleeds. We will elaborate on temporal dynamics of SVD progression and discuss the view of SVD progression as a dynamic process, rather than the traditional view of SVD as a continuous progressive process, that might better fit evidence from longitudinal neuroimaging studies. We will discuss possible mechanisms and clinical implications of a dynamic time course of SVD, with both progression and regression of SVD markers.
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40
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Pinter D, Ritchie SJ, Doubal F, Gattringer T, Morris Z, Bastin ME, del C. Valdés Hernández M, Royle NA, Corley J, Muñoz Maniega S, Pattie A, Dickie DA, Staals J, Gow AJ, Starr JM, Deary IJ, Enzinger C, Fazekas F, Wardlaw J. Impact of small vessel disease in the brain on gait and balance. Sci Rep 2017; 7:41637. [PMID: 28134332 PMCID: PMC5278543 DOI: 10.1038/srep41637] [Citation(s) in RCA: 79] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2016] [Accepted: 12/22/2016] [Indexed: 11/09/2022] Open
Abstract
Gait and balance impairment is highly prevalent in older people. We aimed to assess whether and how single markers of small vessel disease (SVD) or a combination thereof explain gait and balance function in the elderly. We analysed 678 community-dwelling healthy subjects from the Lothian Birth Cohort 1936 at the age of 71-74 years who had undergone comprehensive risk factor assessment, gait and balance assessment as well as brain MRI. We investigated the impact of individual SVD markers (white matter hyperintensity - WMH, microbleeds, lacunes, enlarged perivascular spaces, brain atrophy) as seen on structural brain MRI and of a global SVD score on the patients' performance. A regression model revealed that age, sex, and hypertension significantly explained gait speed. Among SVD markers white matter hyperintensity (WMH) score or volume were additional significant and independent predictors of gait speed in the regression model. A similar association was seen with the global SVD score. Our study confirms a negative impact of SVD-related morphologic brain changes on gait speed in addition to age, sex and hypertension independent from brain atrophy. The presence of WMH seems to be the major driving force for SVD on gait impairment in healthy elderly subjects.
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Affiliation(s)
- Daniela Pinter
- Department of Neurology, Medical University of Graz, Graz, 8036, Austria
| | - Stuart J. Ritchie
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, EH8 9YL, UK
- Department of Psychology, University of Edinburgh, Edinburgh, EH8 9YL, UK
| | - Fergus Doubal
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, EH8 9YL, UK
- Brain Research Imaging Centre, University of Edinburgh, Edinburgh, EH4 2XU, UK
| | - Thomas Gattringer
- Department of Neurology, Medical University of Graz, Graz, 8036, Austria
| | - Zoe Morris
- Brain Research Imaging Centre, University of Edinburgh, Edinburgh, EH4 2XU, UK
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, EH4 2XU, UK
| | - Mark E. Bastin
- Brain Research Imaging Centre, University of Edinburgh, Edinburgh, EH4 2XU, UK
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, EH4 2XU, UK
| | - Maria del C. Valdés Hernández
- Brain Research Imaging Centre, University of Edinburgh, Edinburgh, EH4 2XU, UK
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, EH4 2XU, UK
| | - Natalie A. Royle
- Brain Research Imaging Centre, University of Edinburgh, Edinburgh, EH4 2XU, UK
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, EH4 2XU, UK
| | - Janie Corley
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, EH8 9YL, UK
- Department of Psychology, University of Edinburgh, Edinburgh, EH8 9YL, UK
| | - Susana Muñoz Maniega
- Brain Research Imaging Centre, University of Edinburgh, Edinburgh, EH4 2XU, UK
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, EH4 2XU, UK
| | - Alison Pattie
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, EH8 9YL, UK
- Department of Psychology, University of Edinburgh, Edinburgh, EH8 9YL, UK
| | - David A. Dickie
- Brain Research Imaging Centre, University of Edinburgh, Edinburgh, EH4 2XU, UK
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, EH4 2XU, UK
| | - Julie Staals
- Department of Neurology, Maastricht University Medical Centre, Maastricht, 6211, Netherlands
| | - Alan J. Gow
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, EH8 9YL, UK
- Department of Psychology, Heriot-Watt University, Edinburgh, EH14 4AS, UK
| | - John M. Starr
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, EH8 9YL, UK
- Alzheimer Scotland Dementia Research Centre, Department of Psychology, University of Edinburgh, Edinburgh, EH8 9YL, UK
| | - Ian J. Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, EH8 9YL, UK
- Department of Psychology, University of Edinburgh, Edinburgh, EH8 9YL, UK
| | - Christian Enzinger
- Department of Neurology, Medical University of Graz, Graz, 8036, Austria
- Division of Neuroradiology, Vascular and Interventional Neuroradiology, Department of Radiology, Medical University of Graz, Graz, 8036, Austria
| | - Franz Fazekas
- Department of Neurology, Medical University of Graz, Graz, 8036, Austria
| | - Joanna Wardlaw
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, EH8 9YL, UK
- Brain Research Imaging Centre, University of Edinburgh, Edinburgh, EH4 2XU, UK
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, EH4 2XU, UK
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