1
|
Yang S, Webb AJS. Reduced neurovascular coupling is associated with increased cardiovascular risk without established cerebrovascular disease: A cross-sectional analysis in UK Biobank. J Cereb Blood Flow Metab 2025; 45:897-907. [PMID: 39576882 PMCID: PMC11585009 DOI: 10.1177/0271678x241302172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2024] [Revised: 10/31/2024] [Accepted: 11/02/2024] [Indexed: 11/24/2024]
Abstract
Mid-life vascular risk factors predict late-life cerebrovascular diseases and poor global brain health. Although endothelial dysfunction is hypothesized to contribute to this process, evidence of impaired neurovascular function in early stages remains limited. In this cross-sectional study of 31,934 middle-aged individuals from UK Biobank without established cerebrovascular disease, the overall 10-year risk of cardiovascular events was associated with reduced neurovascular coupling (p < 2 × 10-16) during a visual task with functional MRI, including in participants with no clinically apparent brain injury on MRI. Diabetes, smoking, waist-hip ratio, and hypertension were each strongly associated with decreased neurovascular coupling with the strongest relationships for diabetes and smoking, whilst in older adults there was an inverted U-shaped relationship with DBP, peaking at 70-80 mmHg DBP. These findings indicate that mid-life vascular risk factors are associated with impaired cerebral endothelial-dependent neurovascular function in the absence of overt brain injury. Neurovascular dysfunction, measured by neurovascular coupling, may play a role in the development of late-life cerebrovascular disease, underscoring the need for further longitudinal studies to explore its potential as a mediator of long-term cerebrovascular risk.
Collapse
Affiliation(s)
- Sheng Yang
- Wolfson Centre for Prevention of Stroke and Dementia, Nuffield, Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Alastair John Stewart Webb
- Wolfson Centre for Prevention of Stroke and Dementia, Nuffield, Department of Clinical Neurosciences, University of Oxford, Oxford, UK
- Department of Brain Sciences, Hammersmith Hospital, Imperial College London, London, UK
| |
Collapse
|
2
|
Chen H, Du H, Yi F, Wang T, Yang S, Pan Y, Yan H, Liu D, Zhou M, Chen Y, Zhao M, Pi J, Yang Y, Fan X, Cai X, Qiu Z, Zhang J, Liu Y, Gu W, Wang Y. Artificial intelligence-assisted oculo-gait measurements for cognitive impairment in cerebral small vessel disease. Alzheimers Dement 2024; 20:8516-8526. [PMID: 39410879 DOI: 10.1002/alz.14288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2024] [Revised: 08/09/2024] [Accepted: 09/05/2024] [Indexed: 12/25/2024]
Abstract
INTRODUCTION Oculomotor and gait dysfunctions are closely associated with cognition. However, oculo-gait patterns and their correlation with cognition in cerebral small vessel disease (CSVD) remain unclear. METHODS Patients with CSVD from a hospital-based cohort (n = 194) and individuals with presumed early CSVD from a community-based cohort (n = 319) were included. Oculo-gait patterns were measured using the artificial intelligence (AI) -assisted 'EyeKnow' eye-tracking and 'ReadyGo' motor evaluation systems. Multivariable linear and logistic regression models were employed to investigate the association between the oculo-gait parameters and cognition. RESULTS Anti-saccade accuracy, stride velocity, and swing velocity were significantly associated with cognition in both patients and community dwellers with CSVD, and could identify cognitive impairment in CSVD with moderate accuracy (area under the curve [AUC]: hospital cohort, 0.787; community cohort, 0.810) after adjusting for age and education. DISCUSSION The evaluation of oculo-gait features (anti-saccade accuracy, stride velocity, and swing velocity) may help screen cognitive impairment in CSVD. HIGHLIGHTS Oculo-gait features (lower anti-saccade accuracy, stride velocity, and swing velocity) were associated with cognitive impairment in cerebral small vessel disease (CSVD). Logistic model integrating the oculo-gait features, age, and education level moderately distinguished cognitive status in CSVD. Artificial intelligence-assisted oculomotor and gait measurements provide quick and accurate evaluation in hospital and community settings.
Collapse
Affiliation(s)
- Huimin Chen
- Department of Neurology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Dongcheng, Beijing, China
| | - Hao Du
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Fang Yi
- Department of Geriatric Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Tingting Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Fengtai, Beijing, China
| | - Shuo Yang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Fengtai, Beijing, China
| | - Yuesong Pan
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Fengtai, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Fengtai, Beijing, China
| | - Hongyi Yan
- China National Clinical Research Center for Neurological Diseases, Fengtai, Beijing, China
| | - Dandan Liu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Fengtai, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Fengtai, Beijing, China
| | - Mengyuan Zhou
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Fengtai, Beijing, China
| | - Yiyi Chen
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Fengtai, Beijing, China
| | - Mengxi Zhao
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Fengtai, Beijing, China
| | - Jingtao Pi
- Beijing Tsinghua Changgung Hospital, Changping, Beijing, China
| | - Yingying Yang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Fengtai, Beijing, China
| | - Xiangmin Fan
- Institute of Software, Chinese Academy of Sciences, Beijing, China
| | - Xueli Cai
- Department of Neurology, Lishui Hospital, Zhejiang University School of Medicine, Lishui, Zhejiang, China
| | - Ziyu Qiu
- Health Service Department of the Guard Bureau of the General Office of the Central Committee of the Communist Party of China, Xicheng, Beijing, China
| | - Jipeng Zhang
- Health Service Department of the Guard Bureau of the General Office of the Central Committee of the Communist Party of China, Xicheng, Beijing, China
| | - Yawei Liu
- Health Service Department of the Guard Bureau of the General Office of the Central Committee of the Communist Party of China, Xicheng, Beijing, China
| | - Wenping Gu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Clinical Research Center for Cerebrovascular Disease of Hunan Province, Central South University, Changsha, Hunan, China
| | - Yilong Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Fengtai, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Fengtai, Beijing, China
- Chinese Institute for Brain Research, Changping, Beijing, China
- National Center for Neurological Disorders, Xicheng, Beijing, China
- Advanced Innovation Center for Human Brain Projection, Capital Medical University, Xicheng, Beijing, China
- Beijing Laboratory of Oral Health, Capital Medical University, Fengtai, Beijing, China
| |
Collapse
|
3
|
Zhi Z, Liang X, Huang M, Wu L, Zhou F. The association between glymphatic system dysfunction and alterations in cerebral function and structure in patients with white matter hyperintensities. Neuroreport 2024; 35:476-485. [PMID: 38597326 DOI: 10.1097/wnr.0000000000002031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/11/2024]
Abstract
The objective of this study is to explore the relationship between the glymphatic system and alterations in the structure and function of the brain in white matter hyperintensity (WMH) patients. MRI data were collected from 27 WMH patients and 23 healthy controls. We calculated the along perivascular space (ALPS) indices, the anterior corner distance of the lateral ventricle, and the width of the third ventricle for each subject. The DPABISurf tool was used to calculate the cortical thickness and cortical area. In addition, data processing assistant for resting-state fMRI was used to calculate regional homogeneity, degree centrality, amplitude low-frequency fluctuation (ALFF), fractional amplitude of low-frequency fluctuation (fALFF), and voxel-mirrored homotopic connectivity (VMHC). In addition, each WMH patient was evaluated on the Fazekas scale. Finally, the correlation analysis of structural indicators and functional indicators with bilateral ALPS indices was investigated using Spearman correlation analysis. The ALPS indices of WMH patients were lower than those of healthy controls (left: t = -4.949, P < 0.001; right: t = -3.840, P < 0.001). This study found that ALFF, fALFF, regional homogeneity, degree centrality, and VMHC values in some brain regions of WMH patients were alternated (AlphaSim corrected, P < 0.005, cluster size > 26 voxel, rmm value = 5), and the cortical thickness and cortical area of WMH patients showed trend changes (P < 0.01, cluster size > 20 mm2, uncorrected). Interestingly, we found significantly positive correlations between the left ALPS indices and degree centrality values in the superior temporal gyrus (r = 0.494, P = 0.009, P × 5 < 0.05, Bonferroni correction). Our results suggest that glymphatic system impairment is related to the functional centrality of local connections in patients with WMH. This provides a new perspective for understanding the pathological mechanisms of cognitive impairment in the WMH population.
Collapse
Affiliation(s)
- Zhang Zhi
- Department of Radiology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University
- Department of Radiology, Jiangxi Province Medical Imaging Research Institute
- Department of Radiology, Clinical Research Center for Medical Imaging
| | - Xiao Liang
- Department of Radiology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University
- Department of Radiology, Jiangxi Province Medical Imaging Research Institute
- Department of Radiology, Clinical Research Center for Medical Imaging
| | - Muhua Huang
- Department of Intervention, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China
| | - Lin Wu
- Department of Radiology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University
- Department of Radiology, Jiangxi Province Medical Imaging Research Institute
- Department of Radiology, Clinical Research Center for Medical Imaging
| | - Fuqing Zhou
- Department of Radiology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University
- Department of Radiology, Jiangxi Province Medical Imaging Research Institute
- Department of Radiology, Clinical Research Center for Medical Imaging
| |
Collapse
|
4
|
Fan D, Zhao H, Liu H, Niu H, Liu T, Wang Y. Abnormal brain activities of cognitive processes in cerebral small vessel disease: A systematic review of task fMRI studies. J Neuroradiol 2024; 51:155-167. [PMID: 37844660 DOI: 10.1016/j.neurad.2023.10.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Revised: 10/13/2023] [Accepted: 10/13/2023] [Indexed: 10/18/2023]
Abstract
Cerebral small vessel disease (CSVD) is characterized by widespread functional changes in the brain, as evident from abnormal brain activations during cognitive tasks. However, the existing findings in this area are not yet conclusive. We systematically reviewed 25 studies reporting task-related fMRI in five cognitive domains in CSVD, namely executive function, working memory, processing speed, motor, and affective processing. The findings highlighted: (1) CSVD affects cognitive processes in a domain-specific manner; (2) Compensatory and regulatory effects were observed simultaneously in CSVD, which may reflect the interplay between the negative impact of brain lesion and the positive impact of cognitive reserve. Combined with behavioral and functional findings in CSVD, we proposed an integrated model to illustrate the relationship between altered activations and behavioral performance in different stages of CSVD: functional brain changes may precede and be more sensitive than behavioral impairments in the early pre-symptomatic stage; Meanwhile, compensatory and regulatory mechanisms often occur in the early stages of the disease, while dysfunction/decompensation and dysregulation often occur in the late stages. Overall, abnormal hyper-/hypo-activations are crucial for understanding the mechanisms of small vessel lesion-induced behavioral dysfunction, identifying potential neuromarker and developing interventions to mitigate the impact of CSVD on cognitive function.
Collapse
Affiliation(s)
- Dongqiong Fan
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Haichao Zhao
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China; Faculty of Psychology, MOE Key Laboratory of Cognition and Personality, Southwest University, Chongqing, China
| | - Hao Liu
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Haijun Niu
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Tao Liu
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China.
| | - Yilong Wang
- Department of Neurology, Beijing TianTan Hospital, Capital Medical University, Beijing, China; Chinese Institute for Brain Research, Beijing, China; National Center for Neurological Disorders, Beijing, China.
| |
Collapse
|
5
|
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.
Collapse
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
| |
Collapse
|
6
|
Montaser-Kouhsari L, Young CB, Poston KL. Neuroimaging approaches to cognition in Parkinson's disease. PROGRESS IN BRAIN RESEARCH 2022; 269:257-286. [PMID: 35248197 DOI: 10.1016/bs.pbr.2022.01.008] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
While direct visualization of Lewy body accumulation within the brain is not yet possible in living Parkinson's disease patients, brain imaging studies offer insights into how the buildup of Lewy body pathology impacts different regions of the brain. Unlike biological biomarkers and purely behavioral research, these brain imaging studies therefore offer a unique opportunity to relate brain localization to cognitive function and dysfunction in living patients. Magnetic resonance imaging studies can reveal physical changes in brain structure as they relate to different cognitive domains and task specific impairments. Functional imaging studies use a combination of task and resting state magnetic resonance imaging, as well as positron emission tomography and single photon emission computed tomography, and can be used to determine changes in blood flow, neuronal activation and neurochemical changes in the brain associated with PD cognition and cognitive impairments. Other unique advantages to brain imaging studies are the ability to monitor changes in brain structure and function longitudinally as patients progress and the ability to study changes in brain function when patients are exposed to different pharmacological manipulations. This is particularly true when assessing the effects of dopaminergic replacement therapy on cognitive function in Parkinson's disease patients. Together, this chapter will describe imaging studies that have helped identify structural and functional brain changes associated with cognition, cognitive impairment, and dementia in Parkinson's disease.
Collapse
Affiliation(s)
- Leila Montaser-Kouhsari
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, United States
| | - Christina B Young
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, United States
| | - Kathleen L Poston
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, United States; Department of Neurosurgery, Stanford University, Stanford, CA, United States.
| |
Collapse
|
7
|
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.
Collapse
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
| |
Collapse
|
8
|
What does hand motor function tell us about our aging brain in association with WMH? Aging Clin Exp Res 2021; 33:1577-1584. [PMID: 32860625 PMCID: PMC8203504 DOI: 10.1007/s40520-020-01683-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Accepted: 08/11/2020] [Indexed: 11/26/2022]
Abstract
Background White matter hyperintensities (WMH) are a common cerebral finding in older people. WMH are usually asymptomatic, but excessive WMH are associated with cognitive decline and dementia. WMH are also among the neurological findings most consistently associated with declining motor performance in healthy ageing. Aims To determine if WMH load is associated with simple and complex motor movements in dominant and non-dominant hands in cognitively intact older subjects. Methods Hand motor performance was assessed with the Purdue Pegboard and Finger-tapping tests on 44 healthy right-handed participants, mean age 70.9 years (range 59–84 years). Participants also underwent magnetic resonance (MR) imaging, which were used to quantify WMH volume. The effect of WMH on the motor parameters was assessed via mediation analyses. Results WMH load increased significantly with age, while the motor scores decreased significantly with age. WMH load mediated only the relationship between age and left-hand pegboard scores. Discussion WMH mediated only the more complex Purdue Pegboard task for the non-dominant hand. This is likely because complex movements in the non-dominant hand recruit a larger cerebral network, which is more vulnerable to WMH. Conclusions Complex hand movements in the non-dominant hand are mediated by WMH. Subtle loss of motor movements of non-dominant hand might predict future excessive white matter atrophy.
Collapse
|
9
|
Hou Y, Li Y, Yang S, Qin W, Yang L, Hu W. Gait Impairment and Upper Extremity Disturbance Are Associated With Total Magnetic Resonance Imaging Cerebral Small Vessel Disease Burden. Front Aging Neurosci 2021; 13:640844. [PMID: 34054501 PMCID: PMC8149961 DOI: 10.3389/fnagi.2021.640844] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2020] [Accepted: 04/08/2021] [Indexed: 11/16/2022] Open
Abstract
Background and Purpose: Cerebral small vessel disease (cSVD)—including white matter hyperintensities (WMHs), cerebral microbleeds (CMBs), lacunes, and enlarged perivascular spaces (EPVS)—is related to gait impairment. However, the association between the total magnetic resonance imaging (MRI) cSVD burden and gait and upper extremity function remains insufficiently investigated. This study aimed to assess the correlation between the total MRI cSVD burden score and gait impairment as well as upper extremity impairment. Method: A total of 224 participants underwent MRI scans, and the presence of lacunes, WMHs, CMBs, and EPVS was evaluated and recorded as a total MRI cSVD burden score (range 0–4). Gait was assessed by 4-m walkway, Tinetti, Timed Up and Go (TUG), and Short Physical Performance Battery (SPPB) tests. Upper extremity function was assessed by 10-repeat hand pronation-supination time, 10-repeat finger-tapping time, and 10-repeat hand opening and closing time. Result: The mean age of the 224 participants was 60.6 ± 10.5 years, and 64.3% were men. Independent of age, sex, height, and vascular risk factors, multivariable linear regression analyses showed that a higher total MRI cSVD burden score was related to a shorter stride length, wider step width, higher cadence, and poorer performance on the Tinetti, TUG, and SPPB tests and upper extremity tests (all P < 0.05). Conclusion: Total MRI cSVD burden was associated with gait impairment and upper extremity disturbances, suggesting that total MRI cSVD burden might contribute to motor function decline. Longitudinal studies are required to determine whether there is a causal relationship between total MRI cSVD burden and motor function decline.
Collapse
Affiliation(s)
- Yutong Hou
- Department of Neurology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Yue Li
- Department of Neurology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Shuna Yang
- Department of Neurology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Wei Qin
- Department of Neurology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Lei Yang
- Department of Neurology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Wenli Hu
- Department of Neurology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| |
Collapse
|
10
|
Linortner P, McDaniel C, Shahid M, Levine TF, Tian L, Cholerton B, Poston KL. White Matter Hyperintensities Related to Parkinson's Disease Executive Function. Mov Disord Clin Pract 2020; 7:629-638. [PMID: 32775508 PMCID: PMC7396844 DOI: 10.1002/mdc3.12956] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2019] [Revised: 03/05/2020] [Accepted: 04/04/2020] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND People with Parkinson's disease (PD) can develop multidomain cognitive impairments; however, it is unclear whether different pathologies underlie domain-specific cognitive dysfunction. OBJECTIVES We investigated the contribution of vascular copathology severity and location, as measured by MRI white matter hyperintensities (WMHs), to domain-specific cognitive impairment in PD. METHODS We studied 85 PD (66.6 ± 9.2 years) and 18 control (65.9 ± 6.6) participants. Using the Fazekas scale for rating the severity of WMH, we subdivided PD into 14 PD-WMH+ and 71 PD-WMH-. Participants underwent global, executive, visuospatial, episodic memory, and language testing. We performed nonparametric permutation testing to create WMH probability maps based on PD-WMH group and cognitive test performance. RESULTS The PD-WMH+ group showed worse global and executive cognitive performance than the PD-WMH- group. On individual tests, the PD-WMH+ group showed worse Montreal Cognitive Assessment (MoCA), Stroop, Symbol Digit Modalities Test (SDMT), and Digit Span scores. WMH probability maps showed that in the PD-WMH+ group, worse Stroop was associated with lesions centered around the corticospinal tract (CST), forceps major, inferior-fronto-occipital fasciculus, and superior longitudinal fasciculus; worse SDMT with lesions around the CST, forceps major, and posterior corona radiata; worse Digit Span with lesions around the posterior corona radiata; and worse MoCA with lesions around the CST. CONCLUSIONS We found that WMH severity was associated with PD executive dysfunction, including worse attention, working memory, and processing speed. Disruption of key white matter tracts in proximity to vascular lesions could contribute to these specific cognitive impairments. Early treatment of vascular disease might mitigate some executive dysfunction in a subset of patients with PD.
Collapse
Affiliation(s)
- Patricia Linortner
- Department of Neurology and Neurological SciencesStanford UniversityPalo AltoCaliforniaUSA
| | - Colin McDaniel
- Department of Neurology and Neurological SciencesStanford UniversityPalo AltoCaliforniaUSA
| | - Marian Shahid
- Department of Neurology and Neurological SciencesStanford UniversityPalo AltoCaliforniaUSA
| | - Taylor F. Levine
- Department of Neurology and Neurological SciencesStanford UniversityPalo AltoCaliforniaUSA
- Psychological & Brain SciencesWashington UniversitySt. LouisMissouriUSA
| | - Lu Tian
- Department of Biomedical Data ScienceStanford UniversityPalo AltoCaliforniaUSA
| | - Brenna Cholerton
- Department of PathologyStanford UniversityPalo AltoCaliforniaUSA
| | - Kathleen L. Poston
- Department of Neurology and Neurological SciencesStanford UniversityPalo AltoCaliforniaUSA
- Department of NeurosurgeryStanford UniversityPalo AltoCaliforniaUSA
| |
Collapse
|
11
|
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: 30] [Impact Index Per Article: 5.0] [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.
Collapse
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.
| |
Collapse
|
12
|
Wang J, Liang Y, Chen H, Wang W, Wang Y, Liang Y, Zhang Y. Structural changes in white matter lesion patients and their correlation with cognitive impairment. Neuropsychiatr Dis Treat 2019; 15:1355-1363. [PMID: 31190839 PMCID: PMC6534061 DOI: 10.2147/ndt.s194803] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/17/2023] Open
Abstract
BACKGROUND White matter lesions (WMLs) play a role in cognitive decline and dementia. Little is known about gray matter (GM) changes in WMLs. This study aimed to investigate GM changes in WML patients. MATERIALS AND METHODS Correlations between altered structural volume and cognitive assessment scores were investigated. GM and white matter (WM) changes in 23 WML-vascular dementia (VaD) patients, 22 WML-non-dementia vascular cognitive impairment (VCIND) patients, and 23 healthy control (HC) subjects were examined. Gray matter density (GMD) was calculated by measuring local proportions of GM at thousands of homologous cortical locations. WM volume was obtained by fully automated software using voxel-based morphometry (VBM). RESULTS Widespread GMD was significantly lower in WML patients compared to control subjects in cortical and subcortical regions (p<0.05). Greatest differences were found in the bilateral anterior cingulate cortex, inferior frontal gyrus, insula, angular gyrus, caudate, precentral gyrus, and right middle temporal gyrus, right thalamus. Secondary region of interest (ROI) analysis indicated significantly greater GMD in the bilateral caudate among WML-VCIND patients (n=22) compared to HCs (p<0.05). There was a significant difference in WM volume between WML patients and control subjects (p<0.05). Greatest differences were located in the genu/body/splenium of the corpus callosum and superior corona radiata L, and posterior corona radiata L. There was a significant association between structural changes and cognitive scores (Montreal Cognitive Assessment [MoCA] score) (p<0.05). There was no significant correlation between structural changes and Mini Mental State Examination (MMSE) scores (p>0.05). CONCLUSION GMD and WM volume were changed in WMLs, and the changes were detectable. Correlation between structural changes and cognitive function was promising in understanding the pathological and physiological mechanisms of WMLs.
Collapse
Affiliation(s)
- Jinfang Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, China, .,Department of Neurology, General Hospital of The Yang Tze River Shipping, Wuhan Brain Hospital, Wuhan 430000, China
| | - Yi Liang
- Department of Neurology, General Hospital of The Yang Tze River Shipping, Wuhan Brain Hospital, Wuhan 430000, China
| | - Hongyan Chen
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, China,
| | - Wanming Wang
- Department of Neurology, General Hospital of The Yang Tze River Shipping, Wuhan Brain Hospital, Wuhan 430000, China
| | - Yanwen Wang
- Department of Neurology, General Hospital of The Yang Tze River Shipping, Wuhan Brain Hospital, Wuhan 430000, China
| | - Ying Liang
- School of Biomedical Engineering, Capital Medical University, Beijing 100050, China
| | - Yumei Zhang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, China, .,Department of Rehabilitation Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, China,
| |
Collapse
|
13
|
Hicks JM, Taub E, Womble B, Barghi A, Rickards T, Mark VW, Uswatte G. Relation of white matter hyperintensities and motor deficits in chronic stroke. Restor Neurol Neurosci 2018; 36:349-357. [PMID: 29782327 DOI: 10.3233/rnn-170746] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Infarct size and location account for only a relatively small portion of post-stroke motor impairment, suggesting that other less obvious factors may be involved. OBJECTIVE Examine the relationship between white matter hyperintensity (WMH) load among other factors and upper extremity motor deficit in patients with mild to moderate chronic stroke. METHODS The magnetic resonance images of 28 patients were studied. WMH load was assessed as total WMH volume and WMH overlap with the corticospinal tract in the centrum semiovale. Hemiparetic arm function was measured using the Motor Activity Log (MAL) and Wolf Motor Function Test (WMFT). RESULTS Hierarchical multiple regression models found WMH volume predicted motor deficits in both real-world arm use (MAL;ΔR2 = 0.12, F(1, 22) = 4.73, p = 0.04) and in arm motor capacity as measured by a laboratory motor function test (WMFT;ΔR2 = 0.18, F(1, 22) = 6.32, p = 0.02) over and above age and lesion characteristics. However, these models accounted for less than half of the variance in post-stroke motor deficits. CONCLUSION The results suggest that WMH may be an important factor to consider in stroke-related upper extremity motor impairment. Nonetheless, the basis of the largest part of the post-stroke motor deficit remains unaccounted for by structural CNS factors. This component may be behavioral or learned, involving learned nonuse.
Collapse
Affiliation(s)
- Jarrod M Hicks
- Department of Psychology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Edward Taub
- Department of Psychology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Brent Womble
- Department of Psychology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Ameen Barghi
- Department of Psychology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Tyler Rickards
- Department of Psychology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Victor W Mark
- Department of Physical Medicine and Rehabilitation, University of Alabama at Birmingham, Birmingham, AL, USA.,Department of Psychology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Gitendra Uswatte
- Department of Psychology, University of Alabama at Birmingham, Birmingham, AL, USA.,Department of Physical Therapy, University of Alabama at Birmingham, Birmingham, AL, USA
| |
Collapse
|
14
|
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: 25] [Impact Index Per Article: 3.6] [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.
Collapse
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
| |
Collapse
|
15
|
White Matter Hyperintensity Load Modulates Brain Morphometry and Brain Connectivity in Healthy Adults: A Neuroplastic Mechanism? Neural Plast 2017; 2017:4050536. [PMID: 28845309 PMCID: PMC5560090 DOI: 10.1155/2017/4050536] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2017] [Accepted: 07/03/2017] [Indexed: 01/13/2023] Open
Abstract
White matter hyperintensities (WMHs) are acquired lesions that accumulate and disrupt neuron-to-neuron connectivity. We tested the associations between WMH load and (1) regional grey matter volumes and (2) functional connectivity of resting-state networks, in a sample of 51 healthy adults. Specifically, we focused on the positive associations (more damage, more volume/connectivity) to investigate a potential route of adaptive plasticity. WMHs were quantified with an automated procedure. Voxel-based morphometry was carried out to model grey matter. An independent component analysis was run to extract the anterior and posterior default-mode network, the salience network, the left and right frontoparietal networks, and the visual network. Each model was corrected for age, global levels of atrophy, and indices of brain and cognitive reserve. Positive associations were found with morphometry and functional connectivity of the anterior default-mode network and salience network. Within the anterior default-mode network, an association was found in the left mediotemporal-limbic complex. Within the salience network, an association was found in the right parietal cortex. The findings support the suggestion that, even in the absence of overt disease, the brain actuates a compensatory (neuroplastic) response to the accumulation of WMH, leading to increases in regional grey matter and modified functional connectivity.
Collapse
|
16
|
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: 92] [Impact Index Per Article: 11.5] [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.
Collapse
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
| |
Collapse
|
17
|
Li R, Lai Y, Zhang Y, Yao L, Wu X. Classification of Cognitive Level of Patients with Leukoaraiosis on the Basis of Linear and Non-Linear Functional Connectivity. Front Neurol 2017; 8:2. [PMID: 28154549 PMCID: PMC5243822 DOI: 10.3389/fneur.2017.00002] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2016] [Accepted: 01/04/2017] [Indexed: 11/18/2022] Open
Abstract
Leukoaraiosis (LA) describes diffuse white matter abnormalities apparent in computed tomography (CT) or magnetic resonance (MR) brain scans. Patients with LA generally show varying degrees of cognitive impairment, which can be classified as cognitively normal (CN), mild cognitive impairment (MCI), and dementia. However, a consistent relationship between the degree of LA and the level of cognitive impairment has not yet been established. We used functional magnetic resonance imaging (fMRI) to explore possible neuroimaging biomarkers for classification of cognitive level in LA. Functional connectivity (FC) between brain regions was calculated using Pearson’s correlation coefficient (PCC), maximal information coefficient (MIC), and extended maximal information coefficient (eMIC). Next, FCs with high discriminative power for different cognitive levels in LA were used as features for classification based on support vector machine. CN and MCI were classified with accuracies of 75.0, 61.9, and 91.1% based on features from PCC, MIC, and eMIC, respectively. MCI and dementia were classified with accuracies of 80.1, 86.2, and 87.4% based on features from PCC, MIC, and eMIC, respectively. CN and dementia were classified with accuracies of 80.1, 89.9, and 94.4% based on features from PCC, MIC, and eMIC, respectively. Our results suggest that features extracted from fMRI were efficient for classification of cognitive impairment level in LA, especially, when features were based on a non-linear method (eMIC).
Collapse
Affiliation(s)
- Ranran Li
- College of Information Science and Technology, Beijing Normal University , Beijing , China
| | - Youzhi Lai
- College of Information Science and Technology, Beijing Normal University , Beijing , China
| | - Yumei Zhang
- Neurology Department, Beijing Tiantan Hospital Affiliated with Capital Medical University , Beijing , China
| | - Li Yao
- College of Information Science and Technology, Beijing Normal University, Beijing, China; State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
| | - Xia Wu
- College of Information Science and Technology, Beijing Normal University, Beijing, China; State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
| |
Collapse
|
18
|
Landsmann B, Pinter D, Pirker E, Pichler G, Schippinger W, Weiss EM, Mathie G, Gattringer T, Fazekas F, Enzinger C. An exploratory intervention study suggests clinical benefits of training in chronic stroke to be paralleled by changes in brain activity using repeated fMRI. Clin Interv Aging 2016; 11:97-103. [PMID: 26869779 PMCID: PMC4734728 DOI: 10.2147/cia.s95632] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Purpose Previous studies demonstrated changes in sensorimotor network activation over time after stroke that have been interpreted as partly compensatory. Locomotor and balance trainings may improve both mobility and cognition even in chronic stroke and thereby impact on cerebral activation patterns. We here aimed at testing these assumptions in an exploratory study to inform subsequent larger intervention studies. Patients and methods Eight patients (73.3±4.4 years) with a chronic lacunar stroke (mean interval 3.7 years after the acute event with a range from 2 to 4 years) and residual leg paresis leading to gait disturbance received a guided 5-week training focusing on mobility, endurance, and coordination. Before and afterward, they underwent clinical, neuropsychological, and gait assessments and brain MRI at 3 T including a functional ankle movement paradigm. Sixteen healthy controls (HCs; 68.8±5.4 years) followed the same protocol without intervention. Results After training, patients had improved in mobility, memory, and delayed recall of memory. While cerebral activations in HC remained completely unaltered, patients showed increased activations in the right precentral gyrus, the right and left superior frontal gyri, and the right frontal lobe, with bipedal ankle movements after training. Conclusion In this exploratory study of chronic stroke, we found not only significant effects of physical training on mobility but also distinct aspects of cognition already with a small number of highly selected patients. These improvements were paralleled by alterations in cerebral activity possibly reflecting neuronal plasticity. Larger studies including randomization are needed.
Collapse
Affiliation(s)
- Barbara Landsmann
- Institute of Psychology, University of Graz, Graz, Austria; Department of Neurology, Medical University of Graz, Graz, Austria
| | - Daniela Pinter
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Eva Pirker
- Institute of Psychology, University of Graz, Graz, Austria; Department of Neurology, Medical University of Graz, Graz, Austria
| | | | | | | | - Gabriel Mathie
- Department of Neurology, Medical University of Graz, Graz, Austria
| | | | - Franz Fazekas
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Christian Enzinger
- Department of Neurology, Medical University of Graz, Graz, Austria; Division of Neuroradiology, Department of Radiology, Medical University of Graz, Graz, Austria
| |
Collapse
|
19
|
Mudumbi SV. RLS and PLMS: an avenue toward better understanding the natural history and spectrum of cerebrovascular disease? Sleep Med 2015; 16:1427-1428. [DOI: 10.1016/j.sleep.2015.07.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2015] [Accepted: 07/23/2015] [Indexed: 12/13/2022]
|
20
|
Cerebral small vessel disease, cognitive reserve and cognitive dysfunction. J Neurol 2015; 262:2411-9. [DOI: 10.1007/s00415-015-7776-6] [Citation(s) in RCA: 53] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2015] [Revised: 05/04/2015] [Accepted: 05/06/2015] [Indexed: 11/25/2022]
|
21
|
van Straaten E, den Haan J, de Waal H, van der Flier W, Barkhof F, Prins N, Stam C. Disturbed phase relations in white matter hyperintensity based vascular dementia: An EEG directed connectivity study. Clin Neurophysiol 2015; 126:497-504. [DOI: 10.1016/j.clinph.2014.05.018] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2013] [Revised: 05/20/2014] [Accepted: 05/21/2014] [Indexed: 10/25/2022]
|
22
|
Treatments for Neurological Gait and Balance Disturbance: The Use of Noninvasive Electrical Brain Stimulation. ACTA ACUST UNITED AC 2014. [DOI: 10.1155/2014/573862] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Neurological gait disorders are a common cause of falls, morbidity, and mortality, particularly amongst the elderly. Neurological gait and balance impairment has, however, proved notoriously difficult to treat. The following review discusses some of the first experiments to modulate gait and balance in healthy adults using anodal transcranial direct current stimulation (tDCS) by stimulating both cerebral hemispheres simultaneously. We review and discuss published data using this novel tDCS approach, in combination with physical therapy, to treat locomotor and balance disorders in patients with small vessel disease (leukoaraiosis) and Parkinson’s disease. Finally, we review the use of bihemispheric anodal tDCS to treat gait impairment in patients with stroke in the subacute phase. The findings of these studies suggest that noninvasive electrical stimulation techniques may be a useful adjunct to physical therapy in patients with neurological gait disorders, but further mutlicentre randomized sham-controlled studies are needed to evaluate whether experimental tDCS use can translate into mainstream clinical practice for the treatment of neurological gait disorders.
Collapse
|
23
|
Reduced functional reserve in patients with age-related white matter changes: a preliminary FMRI study of working memory. PLoS One 2014; 9:e103359. [PMID: 25119565 PMCID: PMC4131876 DOI: 10.1371/journal.pone.0103359] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2014] [Accepted: 07/01/2014] [Indexed: 11/19/2022] Open
Abstract
Subcortical age-related white matter changes (ARWMC) are a frequent finding in healthy elderly people suggested to cause secondary tissue changes and possibly affecting cognitive processes. We aimed to determine the influence of the extent of ARWMC load on attention and working memory processes in healthy elderly individuals. Fourteen healthy elderly subjects (MMSE >26; age 55–80 years) performed three fMRI tasks with increasing difficulty assessing alertness, attention (0-back), and working memory (2-back). We compared activation patterns in those with only minimal ARWMC (Fazekas 0–1) to those with moderate to severe ARWMC (Fazekas 2–3). During the fMRI experiments, the study population showed activation in brain areas typically involved in attention and working memory with a recruitment of cortical areas with increasing task difficulty. Subjects with higher lesion load showed a higher activation at all task levels with only sparse increase of signal with increasing complexity. In the lower lesion load group, rising task difficulty lead to a significant and widely distributed increase of activation. Although the number of patients included in the study is small, these findings suggest that even clinically silent ARWMC may affect cognitive processing and lead to compensatory activation during cognitive tasks. This can be interpreted as a reduction of functional reserve and may pose a risk for cognitive decline in these patients.
Collapse
|
24
|
Tract-specific fractional anisotropy predicts cognitive outcome in a community sample of middle-aged participants with white matter lesions. J Cereb Blood Flow Metab 2014; 34:861-9. [PMID: 24549185 PMCID: PMC4013764 DOI: 10.1038/jcbfm.2014.26] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2013] [Revised: 12/23/2013] [Accepted: 01/14/2014] [Indexed: 11/08/2022]
Abstract
Cerebral white matter lesions (WMLs) have been consistently related to cognitive dysfunction but the role of white matter (WM) damage in cognitive impairment is not fully determined. Diffusion tensor imaging is a promising tool to explain impaired cognition related to WMLs. We investigated the separate association of high-grade periventricular hyperintensities (PVHs) and deep white matter hyperintensities (DWMHs) with fractional anisotropy (FA) in middle-aged individuals. We also assessed the predictive value to cognition of FA within specific WM tracts associated with high-grade WMLs. One hundred participants from the Barcelona-AsIA Neuropsychology Study were divided into groups based on low- and high-grade WMLs. Voxel-by-voxel FA were compared between groups, with separate analyses for high-grade PVHs and DWMHs. The mean FA within areas showing differences between groups was extracted in each tract for linear regression analyses. Participants with high-grade PVHs and participants with high-grade DWMHs showed lower FA in different areas of specific tracts. Areas showing decreased FA in high-grade DWMHs predicted lower cognition, whereas areas with decreased FA in high-grade PVHs did not. The predictive value to cognition of specific WM tracts supports the involvement of cortico-subcortical circuits in cognitive deficits only in DWMHs.
Collapse
|
25
|
Thalamic diffusion differences related to cognitive function in white matter lesions. Neurobiol Aging 2014; 35:1103-10. [DOI: 10.1016/j.neurobiolaging.2013.10.087] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2013] [Revised: 10/14/2013] [Accepted: 10/20/2013] [Indexed: 11/20/2022]
|
26
|
Linortner P, Jehna M, Johansen-Berg H, Matthews P, Schmidt R, Fazekas F, Enzinger C. Aging associated changes in the motor control of ankle movements in the brain. Neurobiol Aging 2014; 35:2222-2229. [PMID: 24836898 DOI: 10.1016/j.neurobiolaging.2014.04.013] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2013] [Revised: 04/08/2014] [Accepted: 04/13/2014] [Indexed: 01/10/2023]
Abstract
Although age-related gait changes have been well characterized, little is known regarding potential functional changes in central motor control of distal lower limb movements with age. We hypothesized that there are age-related changes in brain activity associated with the control of repetitive ankle movements, an element of gait feasible for study with functional magnetic resonance imaging. We analyzed standardized functional magnetic resonance imaging data from 102 right-foot dominant healthy participants aged 20-83 years for age-associated effects using FSL and a meta-analysis using coordinate-based activation likelihood estimation. For the first time, we have confirmed age-related changes in brain activity with this gait-related movement of the lower limb in a large population. Increasing age correlated strongly with increased movement-associated activity in the cerebellum and precuneus. Given that task performance did not vary with age, we interpret these changes as potentially compensatory for other age-related changes in the sensorimotor network responsible for control of limb function.
Collapse
Affiliation(s)
- Patricia Linortner
- Department of Neurology, Medical University of Graz, Auenbruggerplatz 22, 8036 Graz, Austria
| | - Margit Jehna
- Division of Neuroradiology, Department of Radiology, Medical University of Graz, Auenbruggerplatz 9, 8036 Graz, Austria
| | - Heidi Johansen-Berg
- Nuffield Department of Clinical Neurosciences, Oxford Centre for Functional MRI of the Brain (FMRIB), John Radcliff Hospital, Headington, Oxford, OX3 9 DU, UK
| | - Paul Matthews
- Division of Brain Sciences, Department of Medicine, Imperial College London, South Kensington Campus, London SW7 2AZ, UK
| | - Reinhold Schmidt
- Department of Neurology, Medical University of Graz, Auenbruggerplatz 22, 8036 Graz, Austria
| | - Franz Fazekas
- Department of Neurology, Medical University of Graz, Auenbruggerplatz 22, 8036 Graz, Austria
| | - Christian Enzinger
- Department of Neurology, Medical University of Graz, Auenbruggerplatz 22, 8036 Graz, Austria.,Division of Neuroradiology, Department of Radiology, Medical University of Graz, Auenbruggerplatz 9, 8036 Graz, Austria
| |
Collapse
|
27
|
Kaski D, Dominguez RO, Allum JH, Bronstein AM. Improving gait and balance in patients with leukoaraiosis using transcranial direct current stimulation and physical training: an exploratory study. Neurorehabil Neural Repair 2013; 27:864-71. [PMID: 23897903 DOI: 10.1177/1545968313496328] [Citation(s) in RCA: 47] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Leukoaraiosis describes ischemic white matter lesions, a leading cause of gait disturbance in the elderly. OBJECTIVE Our aim was to improve gait and balance in patients with leukoaraiosis by combining a single session of transcranial direct current stimulation (tDCS) and physical training (PT). METHODS We delivered anodal tDCS over midline motor and premotor areas in 9 patients with leukoaraiosis. Patients underwent gait and balance training during tDCS stimulation (real/sham). This was repeated 1 week later with the stimulation crossed-over (sham/real) in a double-blind design. Assessments included gait velocity, stride length, stride length variability (primary gait outcomes), and a quantitative retropulsion test (primary balance outcome). RESULTS . Combining tDCS and PT improved gait velocity, stride length, stride length variability, and balance (all at P ≤ .05). Overall, training without tDCS showed no significant effects. CONCLUSIONS Combined anodal tDCS and PT improves gait and balance in this patient group, suggesting that tDCS could be an effective adjunct to PT in patients with leukoaraiosis, for whom no treatment is currently available.
Collapse
Affiliation(s)
- Diego Kaski
- 1Imperial College London, Charing Cross Hospital, London, UK
| | | | | | | |
Collapse
|
28
|
Association of small vessel ischemic white matter changes with BOLD fMRI imaging in the elderly. Psychiatry Res 2012; 204:117-22. [PMID: 23131524 PMCID: PMC3518674 DOI: 10.1016/j.pscychresns.2012.09.006] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2011] [Revised: 07/24/2012] [Accepted: 09/21/2012] [Indexed: 11/20/2022]
Abstract
White matter hyperintensities (WMHs) are often identified on T2-weighted magnetic resonance (MR) images in the elderly. The WMHs are generally associated with small vessel ischemic or pre-ischemic changes. However, the association of WMHs with blood oxygen level dependent (BOLD) functional magnetic resonance imaging (fMRI) signal is understudied. In this study, we evaluate how the BOLD signal change is related to the presence of WMHs in the elderly. Data were acquired as part of a study of late-life depression and included elderly individuals with and without major depression. The subjects were pooled because the presence of depression was not significantly associated with task-related BOLD changes, task performance, and WMH distribution. A whole brain voxel-wise regression analysis revealed a significant negative correlation between WMH burden and BOLD signal change during finger-tapping in the parietal white matter. Our observation that WMHs are associated with a significant diminution of the BOLD signal change underscores the importance of considering cerebrovascular burden when interpreting fMRI studies in the elderly. The mechanism underlying the association of WMH and BOLD signal change remains unclear: the association may be mediated by changes in neural activation, changes in coupling between neuronal activity and hemodynamics, or, perhaps, secondary to the effect of the ischemic changes on the sensitivity of the T2* BOLD MR signal.
Collapse
|
29
|
Correlation between instrumental activities of daily living and white matter hyperintensities in amnestic mild cognitive impairment: results of a cross-sectional study. Neurol Sci 2012; 34:715-21. [PMID: 22639097 DOI: 10.1007/s10072-012-1120-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2012] [Accepted: 05/12/2012] [Indexed: 10/26/2022]
Abstract
Although some studies have supported the association between white matter hyperintensities (WMH) and cognitive impairment, whether WMH are associated with the impairments in instrumental activities of daily living (IADLs) remains unknown. This cross-sectional study investigated differences in basic ADLs and IADLs among different severity of WMH in a large, well-defined registry of patients with amnestic mild cognitive impairment (aMCI). 1,514 patients with aMCI were divided into three groups according to the degree of WMH (1,026 mild, 393 moderate, and 95 severe). We compared the total IADL scores and analyzed the prevalence of the impairment for each IADL item for each group. The severity of WMH was associated with the impairments in IADLs. Among 15 Seoul IADL items, "using public transportation", "going out (short distance)", "grooming" and "participating in leisure activities/hobbies" showed greater positive association with the severity of WMH. WMH in patients with aMCI were associated with the impairments in IADLs but not in basic ADLs. These findings are likely to be more obvious with respect to using public transportation, going out (short distances), shopping, grooming and participating in leisure activities/hobbies.
Collapse
|
30
|
Zheng JJ, Delbaere K, Close JC, Sachdev P, Wen W, Brodaty H, Lord SR. White Matter Hyperintensities Are an Independent Predictor of Physical Decline in Community-Dwelling Older People. Gerontology 2012; 58:398-406. [DOI: 10.1159/000337815] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2011] [Accepted: 03/02/2012] [Indexed: 11/19/2022] Open
|
31
|
Bella R, Ferri R, Pennisi M, Cantone M, Lanza G, Malaguarnera G, Spampinato C, Giordano D, Alagona G, Pennisi G. Enhanced motor cortex facilitation in patients with vascular cognitive impairment-no dementia. Neurosci Lett 2011; 503:171-175. [PMID: 21875648 DOI: 10.1016/j.neulet.2011.08.022] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2011] [Revised: 07/25/2011] [Accepted: 08/12/2011] [Indexed: 02/07/2023]
Abstract
Data on Transcranial Magnetic Stimulation (TMS) derived measures of cortical excitability and intracortical circuits in age-related white matter changes are scarce. We aimed to assess early changes of motor cortex excitability in nondemented elderly patients with subcortical ischemic vascular disease (SVD). Ten SVD elderly and ten age-matched controls underwent paired-pulse TMS for the analysis of intracortical inhibition (ICI) and facilitation (ICF). All subjects performed neuropsychological assessment and brain magnetic resonance imaging. SVD patients showed abnormal executive control function. No statistically significant differences were found for resting motor threshold, cortical silent period between SVD patients and controls or between the two hemispheres, in patients. A significant enhancement of mean ICF was observed in SVD patients. This study provides the first evidence of functional changes in intracortical excitatory neuronal circuits in patients with SVD and clinical features of vascular cognitive impairment-no dementia. Further studies are required to evaluate whether the observed change of ICF might predict cognitive and/or motor impairment in a population at risk for subcortical vascular dementia.
Collapse
Affiliation(s)
- Rita Bella
- Department GF Ingrassia, Section of Neurosciences, University of Catania, Via Santa Sofia, 78, 95123 Catania, Italy
| | | | | | | | | | | | | | | | | | | |
Collapse
|