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Feng M, Song Z, Zhou Z, Wu Z, Ma M, Liu Y, Wang Y, Dai H. Cognitive impairment mediates the white matter injury load and gait disorders in subcortical ischemic vascular disease. Brain Imaging Behav 2024; 18:1418-1427. [PMID: 39316311 DOI: 10.1007/s11682-024-00941-3] [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] [Accepted: 09/17/2024] [Indexed: 09/25/2024]
Abstract
Gait disorders are common in patients with subcortical ischemic vascular disease (SIVD). We aim to explore the impact of white matter (WM) damage on gait disorders in SIVD. 21 SIVD patients and 20 normal controls (NC) were included in the study. Montreal Cognitive Assessment (MoCA) was used to evaluate general cognition, while Speed-Accuracy Trade-Off (SAT) was used to assess executive function. Gait velocity, cadence, and stride length were measured. Diffusion Tensor Imaging (DTI) data were analyzed using Tract-Based Spatial Statistics (TBSS) and Peak Width of Skeletonized Mean Diffusivity (PSMD). The relationships among WM damage, gait disorders, and cognitive function were examined through mediation analysis. SIVD scored lower than NC in MoCA and SAT tests (P < 0.001). Gait velocity and stride length were decreased in SIVD. SIVD had lower PSMD (P < 0.001). PSMD correlated with gait parameters, which were totally mediated by MoCA and partially mediated by SAT. The fractional anisotropy (FA) and mean diffusivity (MD) of the genu of the corpus callosum (GCC) and body of CC (BCC) were correlated with gait parameters. The FA of the bilateral anterior corona radiata (ACR) was positively correlated with gait parameters, while the MD of the bilateral superior corona radiata (SCR), bilateral superior longitudinal fasciculus (SLF), and left external capsule (EC) were negatively correlated with them (P < 0.05). Gait impairments in SIVD were associated with cognitive deficits. Cognitive impairment mediated the WM damage and gait disorders. The microstructural alterations of CC, SLF, EC, and CR may be related to changes in gait.
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Affiliation(s)
- Mengmeng Feng
- Department of Radiology, the First Affiliated Hospital of Soochow University, Suzhou city, 215000, Jiangsu province, P.R. China
| | - Ziyang Song
- Department of Radiology, the First Affiliated Hospital of Soochow University, Suzhou city, 215000, Jiangsu province, P.R. China
| | - Zheping Zhou
- Department of Geratology, the First Affiliated Hospital of Soochow University, Suzhou city, 215000, Jiangsu province, P.R. China
| | - Zhiwei Wu
- Department of Radiology, the First Affiliated Hospital of Soochow University, Suzhou city, 215000, Jiangsu province, P.R. China
| | - Mengya Ma
- Department of Radiology, the First Affiliated Hospital of Soochow University, Suzhou city, 215000, Jiangsu province, P.R. China
| | - Yuanqing Liu
- Department of Radiology, the First Affiliated Hospital of Soochow University, Suzhou city, 215000, Jiangsu province, P.R. China
| | - Yueju Wang
- Department of Geratology, the First Affiliated Hospital of Soochow University, Suzhou city, 215000, Jiangsu province, P.R. China
| | - Hui Dai
- Department of Radiology, the First Affiliated Hospital of Soochow University, Suzhou city, 215000, Jiangsu province, P.R. China.
- Institute of Medical Imaging, Soochow University, Suzhou city, 215000, Jiangsu province, P.R. China.
- Suzhou Key Laboratory of Intelligent Medicine and Equipment, Suzhou city, 215123, Jiangsu province, P.R. China.
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Lu TW, Lu SH, Yu CH, Wu KW, Kuan YC. A multi-objective optimal control approach to motor strategy changes in older people with mild cognitive impairment during obstacle crossing. J Neuroeng Rehabil 2024; 21:200. [PMID: 39506783 PMCID: PMC11539545 DOI: 10.1186/s12984-024-01483-x] [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: 03/13/2024] [Accepted: 10/07/2024] [Indexed: 11/08/2024] Open
Abstract
BACKGROUND Mild cognitive impairment (MCI) may lead to difficulty maintaining postural stability and balance during locomotion. This heightened susceptibility to falls is particularly evident during tasks such as obstacle negotiation, which demands efficient motor planning and reallocation of attentional resources. This study proposed a multi-objective optimal control (MOOC) technique to assess the changes in motor control strategies during obstacle negotiation in older people affected by amnestic MCI. METHODS Motion data from 12 older adults with MCI and 12 controls when crossing obstacles were measured using a motion capture system, and used to obtain the control strategy of obstacle-crossing as the best compromise between the conflicting objectives of the MOOC problem, i.e., minimising mechanical energy expenditure and maximising foot-obstacle clearance. Comparisons of the weighting sets between groups and obstacle heights were performed using a two-way analysis of variance with a significance level of 0.05. RESULTS Compared to the controls, the MCI group showed significantly lower best-compromise weightings for mechanical energy expenditure but greater best-compromise weightings for both heel- and toe-obstacle clearances. This altered strategy involved a trade-off, prioritising maximising foot-obstacle clearance at the expense of increased mechanical energy expenditure. The MCI group could successfully navigate obstacles with a normal foot-obstacle clearance but at the cost of higher mechanical energy expenditure. CONCLUSIONS MCI alters the best-compromise strategy between minimising mechanical energy expenditure and maximising foot-obstacle clearances for obstacle-crossing in older people. These findings provide valuable insights into how MCI impacts motor tasks and offer potential strategies for mitigating fall risks in individuals with MCI. Moreover, this approach could serve as an assessment tool for early diagnosis and a more precise evaluation of disease progression. It may also have applications for individuals with impairments in other cognitive domains.
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Affiliation(s)
- Tung-Wu Lu
- Department of Biomedical Engineering, National Taiwan University, Taipei, Taiwan
- Health Science and Wellness Research Center, National Taiwan University, Taipei, Taiwan
- Department of Orthopaedic Surgery, School of Medicine, National Taiwan University, Taipei, Taiwan
| | - Shiuan-Huei Lu
- Department of Biomedical Engineering, National Taiwan University, Taipei, Taiwan
| | - Cheng-Hao Yu
- Department of Biomedical Engineering, National Taiwan University, Taipei, Taiwan
| | - Kuan-Wen Wu
- Health Science and Wellness Research Center, National Taiwan University, Taipei, Taiwan
- Department of Orthopaedic Surgery, School of Medicine, National Taiwan University, Taipei, Taiwan
- Department of Orthopaedic Surgery, National Taiwan University Hospital, Taipei, Taiwan
| | - Yi-Chun Kuan
- Department of Biomedical Engineering, National Taiwan University, Taipei, Taiwan.
- Taipei Neuroscience Institute, Taipei Medical University, Taipei, Taiwan.
- Department of Neurology, Taipei Medical University-Shuang Ho Hospital, New Taipei City, Taiwan.
- Department of Neurology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan.
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Xu J, Zhao X, Guo Q, Yu C, Ding W, Niu J, Zhao J, Zhang L, Zhang S, Qi H, Xi M. Association of physical performance with cognitive impairment in middle-aged to older haemodialysis patients: a multicentre cross-sectional observational study. J Int Med Res 2024; 52:3000605241259439. [PMID: 38867556 PMCID: PMC11179479 DOI: 10.1177/03000605241259439] [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: 12/04/2023] [Accepted: 05/15/2024] [Indexed: 06/14/2024] Open
Abstract
OBJECTIVE To determine the prevalence of cognitive impairment (CI) among middle-aged to older patients receiving maintenance haemodialysis (MHD) and to investigate the potential association between CI and physical performance. METHODS This cross-sectional observational study enrolled participants aged 55-85 years who received MHD. Cognitive status was assessed using the Mini Mental State Examination (MMSE). Physical performance was measured by hand grip strength, the Timed Up and Go Test (TUGT) and the 4-m walking speed. Sociodemographic, clinical and laboratory parameters were recorded for each patient. RESULTS The study included 592 patients (363 males); and of these, 126 (21.3%) were diagnosed with CI. Compared with patients with normal cognitive function, those with CI were significantly older and had significantly longer dialysis duration, lower educational level, higher Malnutrition Inflammation Score, higher depression and higher Charlson Comorbidity Index score. After adjustment for covariates, multiple regression analysis suggested that grip strength (odds ratio [OR] = 0.959, 95% confidence interval [CI] = 0.924, 0.996) and 4-m walking speed (OR = 0.161, 95% CI = 0.070, 0.368) were protective factors. TUGT (OR = 1.037, 95%CI = 1.003, 1.071) was a risk factor. CONCLUSION Physical performance was correlated with CI and might be a significant indicator for the early identification of CI in middle-aged to older MHD patients.
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Affiliation(s)
- Jia Xu
- Department of Nephrology, Pudong New Area People's Hospital, Shanghai, China
| | - Xinhui Zhao
- Department of Nephrology, Pudong New Area People's Hospital, Shanghai, China
| | - Qi Guo
- Department of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, Shanghai, China
| | - Cheng Yu
- Department of Nephrology, Tongji Hospital School of Medicine, Tongji University, Shanghai, China
| | - Wei Ding
- Department of Nephrology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jianying Niu
- Department of Nephrology, The Fifth People's Hospital of Shanghai, Fudan University, Shanghai, China
| | - Junli Zhao
- Department of Nephrology, Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, Shanghai, China
| | - Liming Zhang
- Department of Nephrology, Zhabei Central Hospital of Jingan District of Shanghai, Shanghai, China
| | - Suhua Zhang
- Department of Nephrology, Suzhou Kowloon Hospital, Shanghai Jiaotong University School of Medicine, Jiangsu, China
| | - Hualin Qi
- Department of Nephrology, Pudong New Area People's Hospital, Shanghai, China
| | - Minhui Xi
- Department of Nephrology, Pudong New Area People's Hospital, Shanghai, China
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Minta K, Colombo G, Taylor WR, Schinazi VR. Differences in fall-related characteristics across cognitive disorders. Front Aging Neurosci 2023; 15:1171306. [PMID: 37358956 PMCID: PMC10289027 DOI: 10.3389/fnagi.2023.1171306] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Accepted: 05/25/2023] [Indexed: 06/28/2023] Open
Abstract
Approximately 40-60% of falls in the elderly lead to injuries, resulting in disability and loss of independence. Despite the higher prevalence of falls and morbidity rates in cognitively impaired individuals, most fall risk assessments fail to account for mental status. In addition, successful fall prevention programmes in cognitively normal adults have generally failed in patients with cognitive impairment. Identifying the role of pathological aging on fall characteristics can improve the sensitivity and specificity of fall prevention approaches. This literature review provides a thorough investigation into fall prevalence and fall risk factors, the accuracy of fall risk assessments, and the efficacy of fall prevention strategies in individuals with diverse cognitive profiles. We show that fall-related characteristics differ between cognitive disorders and fall risk assessment tools as well as fall prevention strategies should critically consider each patient's cognitive status to facilitate the identification of fallers at an earlier stage and support clinical decision-making.
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Affiliation(s)
- Karolina Minta
- Future Health Technologies, Singapore-ETH Centre, Campus for Research Excellence and Technological Enterprise (CREATE), Singapore, Singapore
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Giorgio Colombo
- Future Health Technologies, Singapore-ETH Centre, Campus for Research Excellence and Technological Enterprise (CREATE), Singapore, Singapore
| | - William R. Taylor
- Future Health Technologies, Singapore-ETH Centre, Campus for Research Excellence and Technological Enterprise (CREATE), Singapore, Singapore
- Department of Health Sciences and Technology, Institute for Biomechanics, ETH Zürich, Zürich, Switzerland
| | - Victor R. Schinazi
- Future Health Technologies, Singapore-ETH Centre, Campus for Research Excellence and Technological Enterprise (CREATE), Singapore, Singapore
- Department of Psychology, Bond University, Gold Coast, QLD, Australia
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Fettrow T, Hupfeld K, Hass C, Pasternak O, Seidler R. Neural correlates of gait adaptation in younger and older adults. Sci Rep 2023; 13:3842. [PMID: 36890163 PMCID: PMC9995534 DOI: 10.1038/s41598-023-30766-x] [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: 08/19/2022] [Accepted: 02/28/2023] [Indexed: 03/10/2023] Open
Abstract
Mobility decline is a major concern for older adults. A key component of maintaining mobility with advancing age is the ability to learn and adapt to the environment. The split-belt treadmill paradigm is an experimental protocol that tests the ability to adapt to a dynamic environment. Here we examined the magnetic resonance imaging (MRI) derived structural neural correlates of individual differences in adaptation to split-belt walking for younger and older adults. We have previously shown that younger adults adopt an asymmetric walking pattern during split-belt walking, particularly in the medial-lateral (ML) direction, but older adults do not. We collected T[Formula: see text]-weighted and diffusion-weighted MRI scans to quantify brain morphological characteristics (i.e. in the gray matter and white matter) on these same participants. We investigated two distinct questions: (1) Are there structural brain metrics that are associated with the ability to adopt asymmetry during split-belt walking; and (2) Are there different brain-behavior relationships for younger and older adults? Given the growing evidence that indicates the brain has a critical role in the maintenance of gait and balance, we hypothesized that brain areas commonly associated with locomotion (i.e. basal ganglia, sensorimotor cortex, cerebellum) would be associated with ML asymmetry and that older adults would show more associations between split-belt walking and prefrontal brain areas. We identified multiple brain-behavior associations. More gray matter volume in the superior frontal gyrus and cerebellar lobules VIIB and VIII, more sulcal depth in the insula, more gyrification in the pre/post central gyri, and more fractional anisotropy in the corticospinal tract and inferior longitudinal fasciculus corresponded to more gait asymmetry. These associations did not differ between younger and older adults. This work progresses our understanding of how brain structure is associated with balance during walking, particularly during adaptation.
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Affiliation(s)
- Tyler Fettrow
- Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, 32605, USA.
- NASA Langley Research Center, Hampton, VA, USA.
| | - Kathleen Hupfeld
- Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, 32605, USA
| | - Chris Hass
- Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, 32605, USA
| | - Ofer Pasternak
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Rachael Seidler
- Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, 32605, USA
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Kannan L, Bhatt T, Ajilore O. Cerebello-cortical functional connectivity may regulate reactive balance control in older adults with mild cognitive impairment. Front Neurol 2023; 14:1041434. [PMID: 37139074 PMCID: PMC10149739 DOI: 10.3389/fneur.2023.1041434] [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: 09/10/2022] [Accepted: 03/20/2023] [Indexed: 05/05/2023] Open
Abstract
Background Older adults with mild cognitive impairment (OAwMCI) experience a two-fold increased risk of falling compared to their cognitively intact counterparts. This increased risk could be attributed to impairments in balance control mechanisms (both volitional and reactive), however, the exact neural substrates contributing to the balance impairments remain unclear. While changes in functional connectivity (FC) networks in volitional balance control tasks have been well highlighted, the relationship between these changes and reactive balance control has not been examined. Therefore, this study aims to explore the relationship between FC networks of the brain obtained during resting state fMRI (no visualization or active task performed) and behavioral measures on a reactive balance task in OAwMCI. Methods Eleven OAwMCI (< 25/30 on MoCA, > 55 years) underwent fMRI and were exposed to slip-like perturbations on the Activestep treadmill. Postural stability, i.e., dynamic center of mass motion state (i.e., its position and velocity) was computed to determine reactive balance control performance. The relationship between reactive stability and FC networks was explored using the CONN software. Results OAwMCI with greater FC in default mode network-cerebellum (r2 = 0.43, p < 0.05), and sensorimotor-cerebellum (r2 = 0.41, p < 0.05) network exhibited lower reactive stability. Further, people with lower FC in middle frontal gyrus-cerebellum (r2 = 0.37, p < 0.05), frontoparietal-cerebellum (r2 = 0.79, p < 0.05) and cerebellar network-brainstem (r2 = 0.49, p < 0.05) exhibited lower reactive stability. Conclusion Older adults with mild cognitive impairment demonstrate significant associations between reactive balance control and cortico-subcortical regions involved in cognitive-motor control. Results indicate that the cerebellum and its communications with higher cortical centers could be potential substrates contributing to impaired reactive responses in OAwMCI.
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Affiliation(s)
- Lakshmi Kannan
- Department of Physical Therapy, University of Illinois at Chicago, Chicago, IL, United States
| | - Tanvi Bhatt
- Department of Physical Therapy, University of Illinois at Chicago, Chicago, IL, United States
- *Correspondence: Tanvi Bhatt
| | - Olusola Ajilore
- Department of Psychiatry, University of Illinois at Chicago, Chicago, IL, United States
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Lu SH, Kuan YC, Wu KW, Lu HY, Tsai YL, Chen HH, Lu TW. Kinematic strategies for obstacle-crossing in older adults with mild cognitive impairment. Front Aging Neurosci 2022; 14:950411. [PMID: 36583190 PMCID: PMC9792980 DOI: 10.3389/fnagi.2022.950411] [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: 05/22/2022] [Accepted: 11/17/2022] [Indexed: 12/15/2022] Open
Abstract
Introduction Mild cognitive impairment (MCI) is considered a transitional stage between soundness of mind and dementia, often involving problems with memory, which may lead to abnormal postural control and altered end-point control when dealing with neuromechanical challenges during obstacle-crossing. The study aimed to identify the end-point control and angular kinematics of the pelvis-leg apparatus while crossing obstacles for both leading and trailing limbs. Methods 12 patients with MCI (age: 66.7 ± 4.2 y/o; height: 161.3 ± 7.3 cm; mass: 62.0 ± 13.6 kg) and 12 healthy adults (age: 67.7 ± 2.9 y/o; height: 159.3 ± 6.1 cm; mass: 61.2 ± 12.0 kg) each walked and crossed obstacles of three different heights (10, 20, and 30% of leg length). Angular motions of the pelvis and lower limbs and toe-obstacle clearances during leading- and trailing-limb crossings were calculated. Two-way analyses of variance were used to study between-subject (group) and within-subject (obstacle height) effects on the variables. Whenever a height effect was found, a polynomial test was used to determine the trend. A significance level of α = 0.05 was set for all tests. Results Patients with MCI significantly increased pelvic anterior tilt, hip abduction, and knee adduction in the swing limb during leading-limb crossing when compared to controls (p < 0.05). During trailing-limb crossing, the MCI group showed significantly decreased pelvic posterior tilt, as well as ankle dorsiflexion in the trailing swing limb (p < 0.05). Conclusion Patients with MCI adopt altered kinematic strategies for successful obstacle-crossing. The patients were able to maintain normal leading and trailing toe-obstacle clearances for all tested obstacle heights with a specific kinematic strategy, namely increased pelvic anterior tilt, swing hip abduction, and knee adduction during leading-limb crossing, and decreased pelvic posterior tilt and swing ankle dorsiflexion during trailing-limb crossing. The current results suggest that regular monitoring of obstacle-crossing kinematics for reduced toe-obstacle clearance or any signs of changes in crossing strategy may be helpful for early detection of compromised obstacle-crossing ability in patients with single-domain amnestic MCI. Further studies using a motor/cognitive dual-task approach on the kinematic strategies adopted by multiple-domain MCI will be needed for a complete picture of the functional adaptations in such a patient group.
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Affiliation(s)
- Shiuan-Huei Lu
- Department of Biomedical Engineering, National Taiwan University, Taipei City, Taiwan
| | - Yi-Chun Kuan
- Department of Biomedical Engineering, National Taiwan University, Taipei City, Taiwan,Taipei Neuroscience Institute, Taipei Medical University, Taipei City, Taiwan,Dementia Center and Department of Neurology, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan,Department of Neurology, School of Medicine, College of Medicine, Taipei Medical University, Taipei City, Taiwan
| | - Kuan-Wen Wu
- Department of Orthopaedic Surgery, National Taiwan University Hospital, University, Taipei City, Taiwan
| | - Hsuan-Yu Lu
- Department of Biomedical Engineering, National Taiwan University, Taipei City, Taiwan
| | - Yu-Lin Tsai
- Department of Biomedical Engineering, National Taiwan University, Taipei City, Taiwan,Department of Orthopaedic Surgery, National Taiwan University Hospital, University, Taipei City, Taiwan
| | - Hsiang-Ho Chen
- School of Biomedical Engineering, Taipei Medical University, Taipei City, Taiwan,Department of Biomedical Engineering and Center for Biomedical Engineering, Chang Gung University, Taoyuan City, Taiwan,*Correspondence: Hsiang-Ho Chen, ; Tung-Wu Lu,
| | - Tung-Wu Lu
- Department of Biomedical Engineering, National Taiwan University, Taipei City, Taiwan,Department of Orthopaedic Surgery, School of Medicine, National Taiwan University, Taipei City, Taiwan,*Correspondence: Hsiang-Ho Chen, ; Tung-Wu Lu,
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Huang S, Zhou X, Liu Y, Luo J, Lv Z, Shang P, Zhang W, Lin B, Huang Q, Feng Y, Wang W, Tao S, Wang Y, Zhang C, Chen L, Shi L, Luo Y, Mok VCT, Pan S, Xie H. High Fall Risk Associated With Memory Deficit and Brain Lobes Atrophy Among Elderly With Amnestic Mild Cognitive Impairment and Mild Alzheimer's Disease. Front Neurosci 2022; 16:896437. [PMID: 35757554 PMCID: PMC9213689 DOI: 10.3389/fnins.2022.896437] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Accepted: 05/09/2022] [Indexed: 11/13/2022] Open
Abstract
Objectives This study aimed to primarily examine the association between memory deficit and increased fall risk, second, explore the underlying neuroanatomical linkage of this association in the elderly with aMCI and mild AD. Methods In this cross-sectional study, a total of 103 older adults were included (55 cognitively normal, CN; 48 cognitive impairment, CI, elderly with aMCI, and mild AD). Memory was assessed by the Auditory Verbal Learning Test (AVLT). Fall risk was evaluated by the Timed Up and Go (TUG) Test, heel strike angles, and stride speed, which were collected by an inertial-sensor-based wearable instrument (the JiBuEn™ gait analysis system). Brain volumes were full-automatic segmented and quantified using AccuBrain® v1.2 from three-dimensional T1-weighted (3D T1W) MR images. Multivariable regression analysis was used to examine the extent of the association between memory deficit and fall risk, the association of brain volumes with memory, and fall risk. Age, sex, education, BMI, and HAMD scores were adjusted. Sensitivity analysis was conducted. Results Compared to CN, participants with aMCI and mild AD had poorer cognitive performance (p < 0.001), longer TUG time (p = 0.018), and smaller hippocampus and medial temporal volumes (p = 0.037 and 0.029). In the CI group, compared to good short delayed memory (SDM) performance (AVLT > 5), the elderly with bad SDM performance (AVLT ≤ 3) had longer TUG time, smaller heel strike angles, and slower stride speed. Multivariable regression analysis showed that elderly with poor memory had higher fall risk than relative good memory performance among cognitive impairment elderly. The TUG time increased by 2.1 s, 95% CI, 0.54∼3.67; left heel strike angle reduced by 3.22°, 95% CI, −6.05 to −0.39; and stride speed reduced by 0.09 m/s, 95% CI, −0.19 to −0.00 for the poor memory elderly among the CI group, but not found the association in CN group. In addition, serious medial temporal atrophy (MTA), small volumes of the frontal lobe and occipital lobe were associated with long TUG time and small heel strike angles; small volumes of the temporal lobe, frontal lobe, and parietal lobe were associated with slow stride speed. Conclusion Our findings suggested that memory deficit was associated with increased fall risk in the elderly with aMCI and mild AD. The association might be mediated by the atrophy of medial temporal, frontal, and parietal lobes. Additionally, increased fall risk, tested by TUG time, heel stride angles, and stride speed, might be objective and convenient kinematics markers for dynamic monitoring of both memory function and fall risk.
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Affiliation(s)
- Shuyun Huang
- Department of Neurology, First People's Hospital of Foshan, Foshan, China.,Department of Neurology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Xinhan Zhou
- Department of Imaging, First People's Hospital of Foshan, Foshan, China
| | - Yajing Liu
- Department of Neurology, First People's Hospital of Foshan, Foshan, China
| | - Jiali Luo
- Department of Neurology, First People's Hospital of Foshan, Foshan, China
| | - Zeping Lv
- National Research Center for Rehabilitation Technical Aids, Rehabilitation Hospital, Beijing, China
| | - Pan Shang
- Department of Neurology, First People's Hospital of Foshan, Foshan, China
| | - Weiping Zhang
- Department of Neurology, First People's Hospital of Foshan, Foshan, China
| | - Biqing Lin
- Department of Neurology, First People's Hospital of Foshan, Foshan, China
| | - Qiulan Huang
- Department of Neurology, First People's Hospital of Foshan, Foshan, China
| | - YanYun Feng
- Department of Imaging, First People's Hospital of Foshan, Foshan, China
| | - Wei Wang
- Department of Imaging, First People's Hospital of Foshan, Foshan, China
| | - Shuai Tao
- Dalian Key Laboratory of Smart Medical and Health, Dalian University, Dalian, China
| | - Yukai Wang
- Department of Neurology, First People's Hospital of Foshan, Foshan, China
| | - Chengguo Zhang
- Department of Neurology, First People's Hospital of Foshan, Foshan, China
| | - Lushi Chen
- Department of Neurology, First People's Hospital of Foshan, Foshan, China
| | - Lin Shi
- Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.,BrainNow Research Institute, Shenzhen, China
| | - Yishan Luo
- BrainNow Research Institute, Shenzhen, China
| | - Vincent C T Mok
- Division of Neurology, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Suyue Pan
- Department of Neurology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Haiqun Xie
- Department of Neurology, First People's Hospital of Foshan, Foshan, China
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Koppelmans V, Silvester B, Duff K. Neural Mechanisms of Motor Dysfunction in Mild Cognitive Impairment and Alzheimer’s Disease: A Systematic Review. J Alzheimers Dis Rep 2022; 6:307-344. [PMID: 35891638 PMCID: PMC9277676 DOI: 10.3233/adr-210065] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Accepted: 05/23/2022] [Indexed: 12/20/2022] Open
Abstract
Background: Despite the prevalence of motor symptoms in mild cognitive impairment (MCI) and Alzheimer’s disease (AD), their underlying neural mechanisms have not been thoroughly studied. Objective: This review summarizes the neural underpinnings of motor deficits in MCI and AD. Methods: We searched PubMed up until August of 2021 and identified 37 articles on neuroimaging of motor function in MCI and AD. Study bias was evaluated based on sample size, availability of control samples, and definition of the study population in terms of diagnosis. Results: The majority of studies investigated gait, showing that slower gait was associated with smaller hippocampal volume and prefrontal deactivation. Less prefrontal activation was also observed during cognitive-motor dual tasking, while more activation in cerebellar, cingulate, cuneal, somatosensory, and fusiform brain regions was observed when performing a hand squeezing task. Excessive subcortical white matter lesions in AD were associated with more signs of parkinsonism, poorer performance during a cognitive and motor dual task, and poorer functional mobility. Gait and cognitive dual-tasking was furthermore associated with cortical thickness of temporal lobe regions. Most non-gait motor measures were only reported in one study in relation to neural measures. Conclusion: Cross-sectional designs, lack of control groups, mixing amnestic- and non-amnestic MCI, disregard of sex differences, and small sample sizes limited the interpretation of several studies, which needs to be addressed in future research to progress the field.
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Affiliation(s)
- Vincent Koppelmans
- Department of Psychiatry, University of Utah, SaltLake City, UT, USA
- Huntsman Mental Health Institute, University of Utah, Salt Lake City, UT, USA
| | - Benjamin Silvester
- Department of Psychiatry, University of Utah, SaltLake City, UT, USA
- Huntsman Mental Health Institute, University of Utah, Salt Lake City, UT, USA
| | - Kevin Duff
- Department of Neurology, University of Utah, SaltLake City, UT, USA
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Yeung MK, Chau AKY, Chiu JYC, Shek JTL, Leung JPY, Wong TCH. Differential and subtype-specific neuroimaging abnormalities in amnestic and nonamnestic mild cognitive impairment: A systematic review and meta-analysis. Ageing Res Rev 2022; 80:101675. [PMID: 35724862 DOI: 10.1016/j.arr.2022.101675] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Revised: 06/09/2022] [Accepted: 06/14/2022] [Indexed: 11/25/2022]
Abstract
While mild cognitive impairment (MCI) has been classified into amnestic MCI (aMCI) and nonamnestic MCI (naMCI), the neuropathological bases of these two subtypes remain elusive. Here, we performed a systematic review and meta-analysis to determine the subtype specificity of neuroimaging abnormalities in MCI and to identify neural features that may differ between aMCI and naMCI. We synthesized 50 studies that used common neuroimaging modalities, including magnetic resonance imaging and positron emission tomography, to compare brain atrophy, white matter abnormalities, cortical thinning, cerebral hypometabolism, amyloid/tau deposition, or other features among aMCI, naMCI, and normal cognition. Compared with normal cognition, aMCI shows diverse neuroimaging abnormalities of large effect sizes. In contrast, naMCI exhibits restricted abnormalities of small effect sizes. Some features, including medial temporal lobe atrophy and white matter abnormalities, are shared by the two MCI subtypes. Overall, brain abnormalities are worse, if not similar, in aMCI than in naMCI. The only neuroimaging abnormality specific to aMCI is increased amyloid burden; no feature specific to naMCI was found. Taken together, our findings have elucidated the neuropathological changes that occur in aMCI and naMCI. Clarifying the neuroimaging profiles of aMCI and naMCI can improve the early identification, differentiation, and intervention of prodromal dementia.
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Affiliation(s)
- Michael K Yeung
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, China; University Research Facility in Behavioral and Systems Neuroscience, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, China.
| | - Anson Kwok-Yun Chau
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, China
| | - Jason Yin-Chuen Chiu
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, China
| | - Jay Tsz-Lok Shek
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, China
| | - Jody Po-Yi Leung
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, China
| | - Toby Chun-Ho Wong
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, China
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11
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Gait Speed as a Biomarker of Cognitive Vulnerability: A Population-Based Study with Cognitively Normal Older Adults. SUSTAINABILITY 2022. [DOI: 10.3390/su14127348] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
We aimed to examine associations between cognitive vulnerability and gait speed (GS) in a large older sample. A cross-sectional study analyzed data from the “Health, Lifestyle and Fitness in Adults and Seniors in Amazonas” (SEVAAI) project. In total, 697 participants were included (mean age 70.35 ± 6.86 years). Usual and fast GS were evaluated, and cognitive performance was examined by the COGTEL test battery. There was a positive and large correlation between cognition (COGTEL score) and usual GS (r = 0.510; p < 0.001) and fast GS (r = 0.503; p < 0.001). The usual GS, as a continuous variable, indicated a chance of improved cognitive performance by up to 55%, and fast GS by up to 82%. After controlling for potential confounders (i.e., sex, age, MMSE and years of education), usual and fast GS indicated a chance of improving cognition, respectively, in 57% and 85%. Analysis of GS in quartiles (Q) showed high and significant associations between usual and fast GS and cognitive vulnerability. GS classified as Q1 (slower), Q2 and Q3 represented a greater chance of presenting cognitive deficits, respectively, than in participants with both GS classified as Q4 (highest). Cognitive vulnerability was associated with low GS. Usual and fast GS can be used as complementary measures for the evaluation of cognitively normal Brazilian older adults.
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12
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Kannan L, Bhatt T, Zhang A, Ajilore O. Association of balance control mechanisms with brain structural integrity in older adults with mild cognitive impairment. Neurosci Lett 2022; 783:136699. [DOI: 10.1016/j.neulet.2022.136699] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Revised: 05/23/2022] [Accepted: 05/24/2022] [Indexed: 10/18/2022]
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13
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Zhong Q, Ali N, Gao Y, Wu H, Wu X, Sun C, Ma J, Thabane L, Xiao M, Zhou Q, Shen Y, Wang T, Zhu Y. Gait Kinematic and Kinetic Characteristics of Older Adults With Mild Cognitive Impairment and Subjective Cognitive Decline: A Cross-Sectional Study. Front Aging Neurosci 2021; 13:664558. [PMID: 34413762 PMCID: PMC8368728 DOI: 10.3389/fnagi.2021.664558] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Accepted: 06/09/2021] [Indexed: 01/14/2023] Open
Abstract
Background Older adults with mild cognitive impairment (MCI) have slower gait speed and poor gait performance under dual-task conditions. However, gait kinematic and kinetic characteristics in older adults with MCI or subjective cognitive decline (SCD) remain unknown. This study was designed to explore the difference in gait kinematics and kinetics during level walking among older people with MCI, SCD, and normal cognition (NC). Methods This cross-sectional study recruited 181 participants from July to December 2019; only 82 met the inclusion criteria and consented to participate and only 79 completed gait analysis. Kinematic and kinetic data were obtained using three-dimensional motion capture system during level walking, and joint movements of the lower limbs in the sagittal plane were analyzed by Visual 3D software. Differences in gait kinematics and kinetics among the groups were analyzed using multivariate analysis of covariance (MANCOVA) with Bonferroni post-hoc analysis. After adjusting for multiple comparisons, the significance level was p < 0.002 for MANCOVA and p < 0.0008 for post-hoc analysis. Results Twenty-two participants were MCI [mean ± standard deviation (SD) age, 71.23 ± 6.65 years], 33 were SCD (age, 72.73 ± 5.25 years), and 24 were NC (age, 71.96 ± 5.30 years). MANCOVA adjusted for age, gender, body mass index (BMI), gait speed, years of education, diabetes mellitus, and Geriatric Depression Scale (GDS) revealed a significant multivariate effect of group in knee peak extension angle (F = 8.77, p < 0.0001) and knee heel strike angle (F = 8.07, p = 0.001) on the right side. Post-hoc comparisons with Bonferroni correction showed a significant increase of 5.91° in knee peak extension angle (p < 0.0001) and a noticeable decrease of 6.21°in knee heel strike angle (p = 0.001) in MCI compared with NC on the right side. However, no significant intergroup difference was found in gait kinetics, including dorsiflexion, plantar flexion, knee flexion, knee extension, hip flexion, and hip extension(p > 0.002). Conclusion An increase of right knee peak extension angle and a decrease of right knee heel strike angle during level walking were found among older adults with MCI compared to those with NC.
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Affiliation(s)
- Qian Zhong
- Rehabilitation Medicine Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.,Department of Rehabilitation, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, China
| | - Nawab Ali
- Rehabilitation Medicine Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.,Swat Institute of Rehabilitation & Medical Sciences, Swat, Pakistan
| | - Yaxin Gao
- Rehabilitation Medicine Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.,Department of Rehabilitation, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, China
| | - Han Wu
- Department of Rehabilitation, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, China
| | - Xixi Wu
- Zhongshan Rehabilitation Branch, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Cuiyun Sun
- Department of Rehabilitation, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, China
| | - Jinhui Ma
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada
| | - Lehana Thabane
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada.,Biostatistics Unit, St. Joseph's Healthcare, Hamilton, ON, Canada
| | - Ming Xiao
- Jiangsu Key Laboratory of Neurodegeneration, Center for Global Health, Nanjing Medical University, Nanjing, China.,Brain Institute, The Affiliated Nanjing Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Qiumin Zhou
- Department of Rehabilitation, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, China
| | - Ying Shen
- Department of Rehabilitation, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, China
| | - Tong Wang
- Rehabilitation Medicine Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Yi Zhu
- Rehabilitation Medicine Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
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14
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Association Between Gait, Cognition, and Gray Matter Volumes in Mild Cognitive Impairment and Healthy Controls. Alzheimer Dis Assoc Disord 2021; 34:231-237. [PMID: 31977569 DOI: 10.1097/wad.0000000000000371] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
AIMS To assess the correlation between cognitive functioning and 3 gait parameters (gait speed, cadence, and stride length) in persons with mild cognitive impairment (MCI) and cognitively healthy controls and investigate linear correlations between gait and gray matter volumes. MATERIALS AND METHODS Participants were recruited at IRCCS San Camillo Hospital, Venice, Italy (MCI=43; age-matched controls=43). Participants underwent comprehensive neuropsychological assessment. Gait speed, cadence, and stride length, were assessed with the BTS FREEMG 300 device. Three-dimensional (3D) T1-weighted MR images were acquired using a 1.5 T Philips Achieva MRI system with a Turbo Field Echo sequence. RESULTS In MCI there was a positive correlation between gait speed and memory tests (P<0.05). In controls all 3 gait parameters correlated with executive functioning (P<0.01). Temporal and limbic areas (ie, superior temporal gyrus, thalamus and parahippocampal gyrus) were associated with gait parameters in MCI whereas in controls the associations were with frontal areas (ie, middle, inferior, and superior frontal gyrus) and in the cerebellum (anterior and posterior lobe). CONCLUSIONS Our results highlight a distinct pattern of association between gray matter volume and gait parameters in MCI patients and controls (temporal areas in MCI and frontal areas in healthy elderly), suggesting a relationship between dementia-related pathology and gait dysfunction.
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15
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Nilsson MH, Tangen GG, Palmqvist S, van Westen D, Mattsson-Carlgren N, Stomrud E, Hansson O. The Effects of Tau, Amyloid, and White Matter Lesions on Mobility, Dual Tasking, and Balance in Older People. J Gerontol A Biol Sci Med Sci 2021; 76:683-691. [PMID: 32506119 PMCID: PMC8011701 DOI: 10.1093/gerona/glaa143] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2019] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND This study aimed to investigate whether white matter lesions (WML), β-amyloid-, and tau pathologies are independently associated with mobility, dual tasking, and dynamic balance performance in older nondemented individuals. METHODS We included 299 older people (mean, SD, age: 71.8, 5.6 years) from the Swedish BioFINDER study, whereof 175 were cognitively unimpaired and 124 had mild cognitive impairment (MCI). In multivariable regression analyses, dependent variables included mobility (Timed Up & Go [TUG]), dual tasking (TUG with a simultaneous subtraction task, that is, TUG-Cog, as well as dual task cost), and balance (Figure-of-eight). The analyses were controlled for age, sex, education, diagnosis (ie, MCI), and comorbidity (stroke, diabetes, and ischemic heart disease). Independent variables included WML volume, and measures of β-amyloid (abnormal cerebrospinal fluid [CSF] Aβ42/40 ratio) and tau pathology (CSF phosphorylated tau [p-tau]). RESULTS Multivariable regression analyses showed that an increased WML volume was independently associated with decreased mobility, that is, TUG (standardized β = 0.247; p < .001). Tau pathology was independently associated with dual tasking both when using the raw data of TUG-Cog (β = 0.224; p = .003) and the dual-task cost (β= -0.246; p = .001). Amyloid pathology was associated with decreased balance, that is, Figure-of-eight (β = 0.172; p = .028). The independent effects of WML and tau pathology were mainly observed in those with MCI, which was not the case for the effects of amyloid pathology on balance. CONCLUSIONS Common brain pathologies have different effects where WML are independently associated with mobility, tau pathology has the strongest effect on dual tasking, and amyloid pathology seems to be independently associated with balance. Although these novel findings need to be confirmed in longitudinal studies, they suggest that different brain pathologies have different effects on mobility, balance, and dual-tasking in older nondemented individuals.
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Affiliation(s)
- Maria H Nilsson
- Department of Health Sciences, Faculty of Medicine, Lund University, Sweden
- Clinical Memory Research Unit, Faculty of Medicine, Lund University, Sweden
| | - Gro Gujord Tangen
- Norwegian National Advisory Unit on Ageing and Health, Vestfold Hospital Trust, Tonsberg, Norway
- Department of Geriatric Medicine, Oslo University Hospital, Norway
| | - Sebastian Palmqvist
- Clinical Memory Research Unit, Faculty of Medicine, Lund University, Sweden
- Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Danielle van Westen
- Diagnostic Radiology, Department of Clinical Sciences, Lund University, Sweden
- Image and Function, Skane University Hospital, Lund, Sweden
| | - Niklas Mattsson-Carlgren
- Clinical Memory Research Unit, Faculty of Medicine, Lund University, Sweden
- Wallenberg Center for Molecular Medicine, Lund University, Sweden
| | - Erik Stomrud
- Clinical Memory Research Unit, Faculty of Medicine, Lund University, Sweden
- Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Oskar Hansson
- Clinical Memory Research Unit, Faculty of Medicine, Lund University, Sweden
- Memory Clinic, Skåne University Hospital, Malmö, Sweden
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16
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Grijalva C, Toosizadeh N, Sindorf J, Chou YH, Laksari K. Dual-task performance is associated with brain MRI Morphometry in individuals with mild cognitive impairment. J Neuroimaging 2021; 31:588-601. [PMID: 33783915 DOI: 10.1111/jon.12845] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Revised: 02/09/2021] [Accepted: 02/09/2021] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND AND PURPOSE Cognitive impairment is a critical health problem in the elderly population. Research has shown that patients with mild cognitive impairment (MCI) may develop dementia in later years. Therefore, early identification of MCI could allow for interventions to help delay the progression of this devastating disease. Our objective in this study was to detect the early presence of MCI in elderly patients via neuroimaging and dual-task performance. METHODS Brain MRI scans from 21 older adult volunteers, including cognitively healthy adults (HA, n = 9, age = 68-79 years) and mild cognitively impaired (MCI, n = 12, age = 66-92 years) were analyzed using automatic segmentation techniques. Regional volume, surface area, and thickness measures were correlated with simultaneous performance of motor and cognitive tasks (dual-task) within a novel upper-extremity function (UEF) test, using multivariate analysis of variance models. RESULTS We found significant associations of dual-task performance with volume of five cortical brain regions (P ≤ .048) and thickness of 13 regions (P ≤ .043) within the frontal, temporal, and parietal lobes. There was a significant interaction effect of cognitive group on dual-task score for the inferior temporal gyrus volume (P ≤ .034), and the inferior parietal lobule, inferior temporal gyrus, and middle temporal gyrus average thickness (P ≤ .037). CONCLUSIONS This study highlighted the potential of dual-tasking and MRI morphometric changes as a simple and accurate tool for early detection of cognitive impairment among community-dwelling older adults. The strong interaction effects of cognitive group on UEF dual-task score suggest higher association between atrophy of these brain structures and compromised dual-task performance among the MCI group.
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Affiliation(s)
- Carissa Grijalva
- Department of Biomedical Engineering, University of Arizona, Tucson, AZ
| | - Nima Toosizadeh
- Department of Biomedical Engineering, University of Arizona, Tucson, AZ.,Arizona Center on Aging, Department of Medicine, College of Medicine, University of Arizona, Tucson, AZ.,Division of Geriatrics, General Internal Medicine and Palliative Medicine, Department of Medicine, University of Arizona, Tucson, AZ
| | - Jacob Sindorf
- Department of Biomedical Engineering, University of Arizona, Tucson, AZ
| | - Ying-Hui Chou
- Department of Psychology, University of Arizona, Tucson, AZ
| | - Kaveh Laksari
- Department of Biomedical Engineering, University of Arizona, Tucson, AZ.,Department of Aerospace and Mechanical Engineering, University of Arizona, Tucson, AZ
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17
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Liu Y, Ma W, Li M, Han P, Cai M, Wang F, Wang J, Chen X, Shi J, Zhang X, Zheng Y, Chen M, Guo Q, Yu Y. Relationship Between Physical Performance and Mild Cognitive Impairment in Chinese Community-Dwelling Older Adults. Clin Interv Aging 2021; 16:119-127. [PMID: 33469279 PMCID: PMC7811437 DOI: 10.2147/cia.s288164] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Accepted: 12/26/2020] [Indexed: 01/28/2023] Open
Abstract
Objective This study aimed to examine the relationship between physical performance and mild cognitive impairment (MCI) in Chinese older adults. Methods The sample comprised 956 relatively healthy and aged ≥65 years old Chinese community-dwelling participants (mean age, 72.56 ± 5.43 years; 56.8% female), which did not include those with dementia, severe cognitive impairment, mental illness etc. The Mini-Mental State Examination (MMSE) and the Instrumental Activities of Daily Living (IADL) scale were used for the initial classification of patients with MCI. Physical performance was measured via hand grip, Timed Up and Go Test (TUGT), and 4-m walking speed. Results The physical performance (grip strength, TUGT, and 4-m walking speed) correlated with MCI. The grip strength [odds ratio (OR) = 0.96, 95% confidence interval (CI) = 0.93–0.99] and 4-m walking speed (OR = 0.25, 95% CI = 0.10–0.64) correlated negatively with MCI, while TUGT (OR = 1.08, 95% CI = 1.03–1.13) and MCI correlated positively. Conclusion The physical performance (grip strength, TUGT, and 4-m walking speed) correlated with MCI. Further analysis showed that the grip strength was associated with overall cognition, time orientation, recall, and language, while TUGT and 4-m walking speed were associated with overall cognition and various cognitive domains, except recall.
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Affiliation(s)
- Yuewen Liu
- Department of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences, Shanghai, People's Republic of China
| | - Weibo Ma
- Department of Nursing and Health Management, Shanghai University of Traditional Chinese Medicine, Shanghai, People's Republic of China
| | - Ming Li
- Office of the President, Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, Shanghai, People's Republic of China
| | - Peipei Han
- Department of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences, Shanghai, People's Republic of China
| | - Ming Cai
- Department of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences, Shanghai, People's Republic of China
| | - Feng Wang
- Department of Nursing and Health Management, Shanghai University of Traditional Chinese Medicine, Shanghai, People's Republic of China
| | - Jingru Wang
- Department of Nursing and Health Management, Shanghai University of Traditional Chinese Medicine, Shanghai, People's Republic of China
| | - Xiaoyu Chen
- Department of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences, Shanghai, People's Republic of China
| | - Jianrong Shi
- Department of Team, Buzhen Community Health Service Center, Chongming District, Shanghai, People's Republic of China
| | - Xiaoyan Zhang
- Department of Team, Buzhen Community Health Service Center, Chongming District, Shanghai, People's Republic of China
| | - Yiyi Zheng
- Department of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences, Shanghai, People's Republic of China
| | - Mengqiu Chen
- Department of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences, Shanghai, People's Republic of China
| | - Qi Guo
- Department of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences, Shanghai, People's Republic of China
| | - Ying Yu
- Department of Rehabilitation Medicine, Shanghai University of Medicine and Health Sciences, Shanghai, People's Republic of China
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18
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Morel E, Armand S, Assal F, Allali G. Parkinsonian gait in aging: A feature of Alzheimer's pathology? Exp Gerontol 2020; 134:110905. [PMID: 32135204 DOI: 10.1016/j.exger.2020.110905] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2019] [Revised: 02/27/2020] [Accepted: 02/28/2020] [Indexed: 11/18/2022]
Abstract
INTRODUCTION Central neurological gait abnormalities (CNGA; i.e. frontal or parkinsonian) are frequently associated with neurodegenerative conditions in older adults, but their pathophysiological substrates remain poorly described. This cross-sectional study aims to assess the association between cerebrospinal fluid (CSF) Alzheimer's biomarkers and CNGA. METHODS CSF biomarkers (phosphor-tau, total tau and Aβ1-42) were measured in 52 patients with CNGA (77.33 ± 6.09 years; 28.8% female). Gait phenotypes were evaluated by two diagnosis-blinded assessors and classified as frontal gait, parkinsonian gait or other gait abnormalities. RESULTS Parkinsonian gait was significantly associated with a decreased CSF Aβ42 even after adjusting on age, gender, comorbidities and white matter changes (β: -0.32; 95% CI: [-340.6; -22.9]; p value: 0.026). Phosphor-tau and total tau were not associated with any other CNGA (i.e. frontal gait and other gait abnormalities). DISCUSSION Parkinsonian gait represents a gait phenotype of Alzheimer's pathology in patients with CNGA.
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Affiliation(s)
- Eric Morel
- Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Switzerland; Faculty of Medicine, University of Geneva, Geneva, Switzerland.
| | - Stéphane Armand
- Faculty of Medicine, University of Geneva, Geneva, Switzerland; Willy Taillard Laboratory of Kinesiology, University Geneva Hospitals, Geneva, Switzerland
| | - Frédéric Assal
- Faculty of Medicine, University of Geneva, Geneva, Switzerland; Department of Clinical Neurosciences, Division of Neurology, University Geneva Hospitals, Geneva, Switzerland
| | - Gilles Allali
- Faculty of Medicine, University of Geneva, Geneva, Switzerland; Department of Clinical Neurosciences, Division of Neurology, University Geneva Hospitals, Geneva, Switzerland; Department of Neurology, Albert Einstein College of Medicine, Yeshiva University, Bronx, New York, USA
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19
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Allali G, Montembeault M, Brambati SM, Bherer L, Blumen HM, Launay CP, Liu-Ambrose T, Helbostad JL, Verghese J, Beauchet O. Brain Structure Covariance Associated With Gait Control in Aging. J Gerontol A Biol Sci Med Sci 2020; 74:705-713. [PMID: 29846517 DOI: 10.1093/gerona/gly123] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2017] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Structural and functional brain imaging methods have identified age-related changes in brain structures involved in gait control. This cross-sectional study aims to investigate gray matter networks associated with gait control in aging using structural covariance analysis. METHODS Walking speed were measured in 326 nondemented older community-dwellers (age 71.3 ± 4.5; 41.7% female) under three different walking conditions: normal walking and two challenging tasks: motor (ie, fast speed) and an attention-demanding dual task (ie, backward counting). RESULTS Three main individual gray matter regions were positively correlated with walking speed (ie, slower walking speed was associated with lower brain volumes): right thalamus, right caudate nucleus, and left middle frontal gyrus for normal walking, rapid walking, and dual-task walking condition, respectively. The structural covariance analysis revealed that prefrontal regions were part of the networks associated with every walking condition; the right caudate was associated specifically with the hippocampus, amygdala and insula for the rapid walking condition, and the left middle frontal gyrus with a network involving the cuneus for the dual-task condition. CONCLUSION Our results suggest that brain networks associated with gait control vary according to walking speed and depend on each walking condition. Gait control in aging involved a distributed network including regions for emotional control that are recruited in challenging walking conditions.
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Affiliation(s)
- Gilles Allali
- Department of Neurology, Geneva University Hospital, University of Geneva, Switzerland.,Department of Neurology, Division of Cognitive & Motor Aging, Albert Einstein College of Medicine, Yeshiva University, Bronx, New York
| | - Maxime Montembeault
- Centre de recherche de l'Institut universitaire de gériatrie de Montréal, Quebec, Canada.,Département de psychologie, Institut de cardiologie de Montréal et centre EPIC, Université de Montreal, Quebec, Canada
| | - Simona M Brambati
- Centre de recherche de l'Institut universitaire de gériatrie de Montréal, Quebec, Canada
| | - Louis Bherer
- Centre de recherche de l'Institut universitaire de gériatrie de Montréal, Quebec, Canada.,Département de Médecine, Institut de cardiologie de Montréal et centre EPIC, Université de Montreal, Quebec, Canada
| | - Helena M Blumen
- Departments of Neurology and Medicine, Albert Einstein College of Medicine, Bronx, New York
| | - Cyrille P Launay
- Division of Geriatric Medicine and Geriatric Rehabilitation, Department of Medicine, Lausanne University Hospital, Switzerland
| | - Teresa Liu-Ambrose
- Aging, Mobility and Cognitive Neuroscience Laboratory, University of British Columbia, Vancouver, Canada
| | - Jorunn L Helbostad
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
| | - Joe Verghese
- Departments of Neurology and Medicine, Albert Einstein College of Medicine, Bronx, New York
| | - Olivier Beauchet
- Department of Medicine, Division of Geriatric Medicine, Sir Mortimer B. Davis - Jewish General Hospital and Lady Davis Institute for Medical Research, Montreal, Quebec, Canada.,Dr. Joseph Kaufmann Chair in Geriatric Medicine, Faculty of Medicine, McGill University, Montreal, Quebec, Canada.,Centre of Excellence on Aging and Chronic Diseases of McGill Integrated University Health Network, Montreal, Quebec, Canada
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20
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Beauchet O, Montembeault M, Allali G. Brain Gray Matter Volume Associations With Abnormal Gait Imagery in Patients With Mild Cognitive Impairment: Results of a Cross-Sectional Study. Front Aging Neurosci 2020; 11:364. [PMID: 32038223 PMCID: PMC6985092 DOI: 10.3389/fnagi.2019.00364] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2019] [Accepted: 12/11/2019] [Indexed: 11/13/2022] Open
Abstract
Individuals with mild cognitive impairment (MCI) have worse gait performance compared to cognitive healthy individuals (CHI). The discrepancy between imagined and performed timed up and go test (TUG), known as the TUG delta time, is a marker of brain gait control impairment in individuals with MCI. The study aims to examine the association between the TUG delta time and brain gray matter (GM) volumes in CHI and individuals with MCI. A total of 326 participants, 156 CHI and 170 MCI, with TUG delta time and a brain T1-weighted magnetic resonance imaging (MRI) were selected in this cross-sectional study. Individuals with MCI were older and had greater (i.e., worst performance) performed TUG and TUG delta time compared to CHI. The GM volume association with TUG delta time was examined in CHI and MCI assuming that increased TUG delta time would be associated with locally decreased GM volumes. No significant association was found in CHI, whereas TUG delta time was negatively associated with the GM volume of the right medial temporal lobe in individuals with MCI.
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Affiliation(s)
- Olivier Beauchet
- Department of Medicine, Division of Geriatric Medicine, Sir Mortimer B. Davis-Jewish General Hospital and Lady Davis Institute for Medical Research, McGill University, Montreal, QC, Canada.,Dr. Joseph Kaufmann Chair in Geriatric Medicine, Faculty of Medicine, McGill University, Montreal, QC, Canada.,Centre of Excellence on Longevity, McGill Integrated University Health Network, Montreal, QC, Canada.,Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Maxime Montembeault
- Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, Montréal, QC, Canada.,Département de Psychologie, Université de Montréal, Montréal, QC, Canada
| | - Gilles Allali
- Department of Neurology, Geneva University Hospital and University of Geneva, Geneva, Switzerland
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Moon Y, Moon WJ, Kim JO, Kwon KJ, Han SH. Muscle Strength Is Independently Related to Brain Atrophy in Patients with Alzheimer's Disease. Dement Geriatr Cogn Disord 2020; 47:306-314. [PMID: 31311027 DOI: 10.1159/000500718] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2019] [Accepted: 04/30/2019] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND/AIMS Alzheimer's disease (AD) is the most common cause of dementia worldwide. Interestingly, muscle mass (MM) and muscle strength (MS) are related to AD. In addition to the muscle profile, brain atrophy is also a prominent feature of AD. There is substantial evidence showing an association between muscle profile and dementia, but the role of the muscle profile and cerebral cortical atrophy within this association is less well understood. The objective of this study was to determine if there is any association between muscle profile and brain regional volume in AD. A secondary objective was to determine whether this relationship continues as the clinical stage of AD progresses. METHODS We recruited 28 patients with probable AD without weakness. We assessed the patients' basic demographic characteristics, Mini-Mental State Examination score, and brain magnetic resonance images. MM was measured using body dual-energy X-ray absorptiometry. MS was assessed in Nm/kg with an isokinetic knee extensor using an isokinetic device at an angular velocity of 60°/s. An automatic analysis program was used for brain regional volumetric measurements. Dementia was divided into two stages: mild and moderate. RESULTS MS was related to left hippocampal volume ratio. After adjusting for age and cognitive status, the relationship remained. MS did not demonstrate any relationship to any brain regional volume ratio in the mild stage; however, in the moderate stage, it was positively related to both the right and the left hippocampal volume ratio. CONCLUSIONS Our findings imply a shared underlying pathology relating MS and brain volume and suggest cognitive functional declines through the muscle-brain axis. Further longitudinal studies are needed to find possible and related causes of reduced MS and cortical atrophy in patients with dementia.
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Affiliation(s)
- Yeonsil Moon
- Department of Neurology, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Republic of Korea
| | - Won-Jin Moon
- Department of Radiology, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Republic of Korea
| | - Jin Ok Kim
- Department of Neurology, Daejeon Eulji University College of Medicine, Daejeon, Republic of Korea
| | - Kyoung Ja Kwon
- Center for Geriatric Neuroscience Research, Institute of Biomedical Science, Konkuk Medical Science Research Center, Konkuk University School of Medicine, Seoul, Republic of Korea
| | - Seol-Heui Han
- Department of Neurology, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Republic of Korea, .,Center for Geriatric Neuroscience Research, Institute of Biomedical Science, Konkuk Medical Science Research Center, Konkuk University School of Medicine, Seoul, Republic of Korea,
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de Oliveira Silva F, Ferreira JV, Plácido J, Chagas D, Praxedes J, Guimarães C, Batista LA, Marinho V, Laks J, Deslandes AC. Stages of mild cognitive impairment and Alzheimer’s disease can be differentiated by declines in timed up and go test: A systematic review and meta-analysis. Arch Gerontol Geriatr 2019; 85:103941. [DOI: 10.1016/j.archger.2019.103941] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2019] [Revised: 08/07/2019] [Accepted: 08/23/2019] [Indexed: 10/26/2022]
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Allali G, Montembeault M, Griffa A, Beauchet O. Default mode network and the timed up and go in MCI: A structural covariance analysis. Exp Gerontol 2019; 129:110748. [PMID: 31634541 DOI: 10.1016/j.exger.2019.110748] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2019] [Revised: 10/02/2019] [Accepted: 10/03/2019] [Indexed: 11/18/2022]
Abstract
BACKGROUND The timed up and go (TUG) is a test used to assess mobility in older adults and patients with neurological conditions. This study aims to compare brain gray matter (GM) correlates and structural covariance networks associated with the TUG time in cognitively healthy individuals (CHI) and in patients with mild cognitive impairment (MCI). METHODS The TUG time was measured in 326 non-demented older community-dwellers (age 71.3 ± 4.5; 42% female) - 156 CHI and 170 MCI. GM covariance networks were computed using voxel-based morphometry with the main neural correlates of TUG for each group as seed regions. RESULTS Increased TUG time (i.e., poor performance) was associated with distinct brain volume reductions between CHI and MCI. The covariance analysis showed cortical regions involving the default mode network in CHI and bilateral cerebellar regions in MCI. CONCLUSIONS GM networks associated with the TUG vary between CHI and MCI, suggesting distinct brain control for locomotion between CHI and MCI patients.
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Affiliation(s)
- Gilles Allali
- Department of Neurology, Geneva University Hospital, University of Geneva, Switzerland; Department of Neurology, Division of Cognitive & Motor Aging, Albert Einstein College of Medicine, Yeshiva University, Bronx, NY, USA.
| | - Maxime Montembeault
- Centre de recherche de l'Institut universitaire de gériatrie de Montréal, Montréal H3W 1W5, Quebec, Canada; Département de psychologie, Université de Montréal, Montréal H3C 3J7, Quebec, Canada
| | - Alessandra Griffa
- Department of Neurology, Geneva University Hospital, University of Geneva, Switzerland; Institute of Bioengineering, Center for Neuroprosthetics, Ecole Polytechnique Fédéerale de Lausanne (EPFL), Lausanne, Switzerland
| | - Olivier Beauchet
- Department of Medicine, Division of Geriatric Medicine, Sir Mortimer B. Davis - Jewish General Hospital, Lady Davis Institute for Medical Research, McGill University, Montreal, Quebec, Canada; Dr. Joseph Kaufmann Chair in Geriatric Medicine, Faculty of Medicine, McGill University, Montreal, Quebec, Canada; Centre of Excellence on Longevity of McGill integrated University Health Network, Quebec, Canada; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
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Harper KJ, Riley V, Petta A, Jacques A, Spendier N, Ingram K. Occupational therapist use of the 'Timed Up and Go' test in a Memory Clinic to compare performance between cognitive diagnoses and screen for falls risk. Aust Occup Ther J 2019; 67:13-21. [PMID: 31609001 DOI: 10.1111/1440-1630.12617] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/05/2019] [Indexed: 11/28/2022]
Abstract
INTRODUCTION Occupational therapists assess older patients attending Memory Clinics to address multiple facets, including memory, activities of daily living function, mobility and falls risk. Identifying deficits in motor and functional abilities represents a crucial and necessary component of cognitive diagnosis. The aim of this research was to compare performance on the TUG between patients with normal (NC), mild cognitive impairment (MCI) and dementia. METHODS A prospective single-blind single-centre cohort study was conducted in a Memory Clinic. Patients underwent comprehensive medical assessment, including the Mini Mental Status Examination (MMSE) to determine a cognitive diagnosis. The occupational therapist, blinded to any diagnosis, completed the TUG. RESULTS A total of 158 patients aged 60 years and older were recruited. The average TUG was 15.4 s, which was similar between men and women (p = .87). A TUG greater than ≥14 s was significantly associated with the use of a walking aid (p ≤ .001). The TUG increased with age and a slower TUG was associated with a greater number of previous falls (p = .023). The TUG did not significantly differ between patients with dementia, MCI and NC (p = .095). However, there was a significant difference comparing patients with NC and MCI (14.3 s) to those with dementia (16.4 s) (p = .048). There was a significant weak negative correlation between the MMSE and the TUG of -0.253 (p = .003). Univariate models showed that a patient's ability to ambulate independently contributed to 33% of the variance in the TUG, whereas previous falls contributed to 4%, highlighting the importance of physical function and intervention to target this. CONCLUSION A simple TUG test should be considered for use by occupational therapists in a Memory Clinic to screen patients at risk of falling. Patients diagnosed with dementia have a significantly slower TUG. However, this tool cannot assist with the early detection of patients with MCI.
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Affiliation(s)
- Kristie J Harper
- Occupational Therapy Department, Sir Charles Gairdner Hospital, Nedlands, Perth, WA, Australia
| | - Vera Riley
- Department of Rehabilitation and Aged Care, Sir Charles Gairdner Hospital, Nedlands, Perth, WA, Australia
| | - Antonio Petta
- Department of Rehabilitation and Aged Care, Sir Charles Gairdner Hospital, Nedlands, Perth, WA, Australia
| | - Angela Jacques
- Department of Research, Institute for Health Research, The University of Notre Dame Australia, Fremantle, WA, Australia
| | - Nicholas Spendier
- Department of Rehabilitation and Aged Care, Sir Charles Gairdner Hospital, Nedlands, Perth, WA, Australia
| | - Katharine Ingram
- Department of Rehabilitation and Aged Care, Sir Charles Gairdner Hospital, Nedlands, Perth, WA, Australia
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Allali G, Montembeault M, Saj A, Wong CH, Cooper-Brown LA, Bherer L, Beauchet O. Structural Brain Volume Covariance Associated with Gait Speed in Patients with Amnestic and Non-Amnestic Mild Cognitive Impairment: A Double Dissociation. J Alzheimers Dis 2019; 71:S29-S39. [DOI: 10.3233/jad-190038] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Gilles Allali
- Department of Neurology, Geneva University Hospital and University of Geneva, Switzerland
- Department of Neurology, Division of Cognitive & Motor Aging, Albert Einstein College of Medicine, Yeshiva University, Bronx, NY, USA
| | - Maxime Montembeault
- Centre de Recherche de l’Institut Universitaire de Gériatrie de Montréal, Montréal, Quebec, Canada
- Département de Psychologie, Université de Montréal, Montréal, Québec, Canada
| | - Arnaud Saj
- Department of Neurology, Geneva University Hospital and University of Geneva, Switzerland
- Département de Psychologie, Université de Montréal, Montréal, Québec, Canada
| | - Chek Hooi Wong
- Geriatric Education and Research Institute, Singapore
- Department of Geriatric Medicine, Khoo Teck Puat Hospital, Singapore
| | - Liam Anders Cooper-Brown
- Department of Medicine, Division of Geriatric Medicine, Sir Mortimer B. Davis – Jewish General Hospital and Lady Davis Institute for Medical Research, McGill University, Montreal, Quebec, Canada
| | - Louis Bherer
- Centre de Recherche de l’Institut Universitaire de Gériatrie de Montréal, Montréal, Quebec, Canada
- Département de Médecine, Université de Montréal, Québec, Canada
- Centre de recherche, Institut de Cardiologie de Montréal, Université de Montréal, Québec, Canada
| | - Olivier Beauchet
- Department of Medicine, Division of Geriatric Medicine, Sir Mortimer B. Davis – Jewish General Hospital and Lady Davis Institute for Medical Research, McGill University, Montreal, Quebec, Canada
- Dr. Joseph Kaufmann Chair in Geriatric Medicine, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
- Centre of Excellence on Longevity of McGill integrated University Health Network, Quebec, Canada
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
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Beauchet O, Montembeault M, Barden JM, Szturm T, Bherer L, Liu-Ambrose T, Chester VL, Li K, Helbostad JL, Allali G. Brain gray matter volume associations with gait speed and related structural covariance networks in cognitively healthy individuals and in patients with mild cognitive impairment: A cross-sectional study. Exp Gerontol 2019; 122:116-122. [PMID: 31075383 DOI: 10.1016/j.exger.2019.05.001] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2019] [Revised: 04/29/2019] [Accepted: 05/03/2019] [Indexed: 10/26/2022]
Abstract
INTRODUCTION Gait speed is slower in patients with mild cognitive impairment (MCI) compared to cognitively healthy individuals (CHI). We examined the patterns of brain gray matter (GM) volume association and covariance with gait speed in CHI and in patients with MCI. METHODS A total of 96 CHI and 99 patients with MCI were recruited in this cross-sectional study. Brain GM volumes measured with voxel-based morphometry and self-paced gait speed were used as outcomes. RESULTS The right middle frontal and precentral gyri volumes were positively associated with gait speed in CHI and covariated with frontal cortex. Striatum (i.e. left putamen and bilateral caudate nuclei) volumes were positively associated with gait speed in patients with MCI and covariated with striatal structures. CONCLUSIONS Two different patterns of brain GM volume association and covariance with gait speed were found and involving frontal cortex in CHI and the striatum in patients with MCI.
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Affiliation(s)
- Olivier Beauchet
- Department of Medicine, Division of Geriatric Medicine, Sir Mortimer B. Davis - Jewish General Hospital and Lady Davis Institute for Medical Research, McGill University, Montreal, Quebec, Canada; Dr. Joseph Kaufmann Chair in Geriatric Medicine, Faculty of Medicine, McGill University, Montreal, Quebec, Canada; Centre of Excellence on Longevity, McGill integrated University Health Network, Quebec, Canada; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
| | - Maxime Montembeault
- Centre de recherche de l'Institut Universitaire de Gériatrie de Montréal, Montréal, QC, Canada; Département de psychologie, Université de Montréal, Montréal, QC, Canada
| | - John M Barden
- Neuromechanical Research Centre, Faculty of Kinesiology and Health Studies, University of Regina, Regina, Saskatchewan, Canada
| | - Tony Szturm
- Department of Physical Therapy, College of Rehabilitation Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Louis Bherer
- Department of Medicine, Faculty of Medicine, University of Montreal, Montreal, Canada
| | - Teresa Liu-Ambrose
- Aging, Mobility and Cognitive Neuroscience Laboratory, University of British Columbia, Vancouver, British Columbia, Canada
| | - Victoria L Chester
- Andrew and Marjorie McCain Human Performance Laboratory, Richard J. Currie Center, Faculty of Kinesiology, University of New Brunswick, Fredericton, New Brunswick, Canada
| | - Karen Li
- Department of Psychology, Concordia University, Montreal, QC, Canada
| | - Jorunn L Helbostad
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
| | - Gilles Allali
- Department of Neurology, Geneva University Hospital and University of Geneva, Switzerland; Department of Neurology, Division of Cognitive & Motor Aging, Albert Einstein College of Medicine, Yeshiva University, Bronx, New York, USA
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Feng W, Wang D, Tang L, Cheng Y, Wang G, Hu G, Gong X, Cao X, Jiang L, Li C. Effects of Different Cognitive Trainings on Amnestic Mild Cognitive Impairment in the Elderly: A One-Year Longitudinal Functional Magnetic Resonance Imaging (MRI) Study. Med Sci Monit 2018; 24:5517-5527. [PMID: 30089102 PMCID: PMC6097101 DOI: 10.12659/msm.908315] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
BACKGROUND Cognitive training has been focused on the interventions of amnestic mild cognitive impairment (aMCI) in recent years, with poor understanding. MATERIAL AND METHODS The study participants with aMCI were screened in a previous intervention trial. Functional magnetic resonance imaging (fMRI) was adopted to investigate effects of single-domain cognitive training (SDCT) and multi-domain cognitive training (MDCT) on aMCI and to explore potential mechanisms. RESULTS There were significant differences in the grey matter volume of the middle frontal gyrus, superior parietal lobule, inferior temporal gyrus, fusiform gyrus, and ventral V3 between the MDCT/SDCT group and the control group (P<0.05). Regional homogeneity (ReHo) increased significantly in the right and left inferior frontal gyrus as well as in the left and right precentral gyrus after intervention in the MDCT group and the SDCT group. ReHo increased significantly in the right and left lingual gyrus of the MDCT group and the control group. ReHo reduced significantly in the right middle temporal gyrus of the MDCT group but increased significantly in the left middle temporal gyrus in the SDCT group and the control group. The voxel of grey matter in the precuneus was positively related to the language scores on RBANS (Repeatable Battery for the Assessment of Neuropsychological Status), and amygdala, fusiform gyrus, and hippocampus also had a positive relationship with delayed memory scores in RBANS of the MDCT group. In the MDCT group, the attention and reasoning scores were also positively related to the ReHo of middle temporal gyrus. CONCLUSIONS Both MDCT and SDCT may improve the aMCI at brain functional and structural levels; however, the MDCT group exhibited higher ReHo values in middle temporal gyrus and superior occipital gyrus. Also, it was confirmed that MDCT leads to better results than SDCT, showing a significant correlation of cognitive functions such as attention, memory, reasoning, and visual-spatial ability.
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Affiliation(s)
- Wei Feng
- Department of Psychological Medicine, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China (mainland)
| | - Dan Wang
- Department of Physical Education, Tongji University, Shanghai, China (mainland)
| | - Long Tang
- School of Human Cultures, University of Shiga Prefecture, Hikone, Shiga, Japan
| | - Yan Cheng
- Department of Psychiatry, Tongji Hospital, Tongji University School of Medicine, Shanghai, China (mainland)
| | - Guopu Wang
- Department of Physical Education, Tongji University, Shanghai, China (mainland)
| | - Gengdan Hu
- Center for Psychical and Cognitive Science Research and Department of Psychology, Tongji University, Shanghai, China (mainland)
| | - Xiaoliang Gong
- Key Laboratory of Embedded System and Service Computing (Ministry of Education), Tongji University, Shanghai, China (mainland)
| | - Xinyi Cao
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China (mainland).,Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai, China (mainland).,Bio-X Institute, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China (mainland)
| | - Lijuan Jiang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China (mainland).,Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai, China (mainland).,Bio-X Institute, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China (mainland)
| | - Chunbo Li
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China (mainland).,Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai, China (mainland).,Bio-X Institute, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China (mainland)
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Ibrahim A, Singh DKA, Shahar S. 'Timed Up and Go' test: Age, gender and cognitive impairment stratified normative values of older adults. PLoS One 2017; 12:e0185641. [PMID: 28972994 PMCID: PMC5626462 DOI: 10.1371/journal.pone.0185641] [Citation(s) in RCA: 100] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2017] [Accepted: 09/15/2017] [Indexed: 11/18/2022] Open
Abstract
Aims The aim of this study was to establish ‘Timed up and Go’ test (TUG) normative data among community dwelling older adults stratified based on cognitive status, gender and age groups. Methods A total of 2084 community dwelling older adults from wave I and II were recruited through a multistage random sampling method. TUG was performed using the standard protocol and scores were then stratified based on with and without mild cognitive impairment (MCI), gender and in a 5-year age groups ranging from ages of 60’s to 80’s. Results 529(16%) participants were identified to have MCI. Past history of falls and medical history of hypertension, heart disease, joint pain, hearing and vision problem, and urinary incontinence were found to have influenced TUG performance. Cognitive status as a mediator, predicted TUG performance even when both gender and age were controlled for (B 0.24, 95% CI (0.02–0.47), β 0.03, t 2.10, p = 0.36). Further descriptive analysis showed, participants with MCI, women and older in age took a longer time to complete TUG, as compared to men with MCI across all age groups with exceptions for some age groups. Conclusion These results suggested that MCI needs to be taken into consideration when testing older adults using TUG, besides age and gender factors. Data using fast speed TUG may be required among older adults with and without MCI for further understanding.
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Affiliation(s)
- Azianah Ibrahim
- Physiotherapy Programme, School of Rehabilitation Sciences, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, Kuala Lumpur, Malaysia
- Pantai Integrated Rehab Services Sdn Bhd, Pandan Indah, Kuala Lumpur, Malaysia
| | - Devinder Kaur Ajit Singh
- Physiotherapy Programme, School of Rehabilitation Sciences, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, Kuala Lumpur, Malaysia
- * E-mail:
| | - Suzana Shahar
- Community Rehabilitation and Aging Research Centre, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, Kuala Lumpur, Malaysia
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Marques B, Laidet M, Armand S, Assal F, Allali G. CSF tapping also improves mental imagery of gait in normal pressure hydrocephalus. J Neural Transm (Vienna) 2017; 124:1401-1405. [PMID: 28744590 DOI: 10.1007/s00702-017-1766-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2017] [Accepted: 07/21/2017] [Indexed: 11/27/2022]
Abstract
This study aims to compare the changes of Timed Up and Go (TUG) and its imagined version (iTUG) after CSF tapping between patients with idiopathic normal pressure hydrocephalus (iNPH) and its mimics. TUG and iTUG were performed before and 24 h after CSF tapping in 117 patients (75.8 ± 6.9 years; 35% female) with suspicion of iNPH (68 iNPH and 49 mimics). Mental imagery of locomotion was modified after CSF tapping in iNPH patients, but not in the mimics.
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Affiliation(s)
- Bruno Marques
- Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Magali Laidet
- Division of Neurology, Department of Clinical Neurosciences, Geneva University Hospitals, Geneva, Switzerland
| | - Stéphane Armand
- Willy Taillard Laboratory of Kinesiology, Geneva University Hospitals, Geneva, Switzerland.,University of Geneva, Geneva, Switzerland
| | - Frédéric Assal
- Faculty of Medicine, University of Geneva, Geneva, Switzerland.,Division of Neurology, Department of Clinical Neurosciences, Geneva University Hospitals, Geneva, Switzerland
| | - Gilles Allali
- Faculty of Medicine, University of Geneva, Geneva, Switzerland. .,Division of Neurology, Department of Clinical Neurosciences, Geneva University Hospitals, Geneva, Switzerland. .,Division of Cognitive and Motor Aging, Department of Neurology, Albert Einstein College of Medicine, Yeshiva University, Bronx, NY, USA. .,Department of Neurology, Geneva University Hospitals, 4 rue Gabrielle-Perret-Gentil, 1211, Geneva, Switzerland.
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Rosso AL, Verghese J, Metti AL, Boudreau RM, Aizenstein HJ, Kritchevsky S, Harris T, Yaffe K, Satterfield S, Studenski S, Rosano C. Slowing gait and risk for cognitive impairment: The hippocampus as a shared neural substrate. Neurology 2017; 89:336-342. [PMID: 28659421 DOI: 10.1212/wnl.0000000000004153] [Citation(s) in RCA: 108] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2016] [Accepted: 04/24/2017] [Indexed: 01/07/2023] Open
Abstract
OBJECTIVE To identify the shared neuroimaging signature of gait slowing and cognitive impairment. METHODS We assessed a cohort of older adults (n = 175, mean age 73 years, 57% female, 65% white) with repeated measures of gait speed over 14 years, MRI for gray matter volume (GMV) at year 10 or 11, and adjudicated cognitive status at year 14. Gait slowing was calculated by bayesian slopes corrected for intercepts, with higher values indicating faster decline. GMV was normalized to intracranial volume, with lower values indicating greater atrophy for 10 regions of interest (hippocampus, anterior and posterior cingulate, primary and supplementary motor cortices, posterior parietal lobe, middle frontal lobe, caudate, putamen, pallidum). Nonparametric correlations adjusted for demographics, comorbidities, muscle strength, and knee pain assessed associations of time to walk with GMV. Logistic regression models calculated odds ratios (ORs) of gait slowing with dementia or mild cognitive impairment with and without adjustment for GMV. RESULTS Gait slowing was associated with cognitive impairment at year 14 (OR per 0.1 s/y slowing 1.47; 95% confidence interval 1.04-2.07). The right hippocampus was the only region that was related to both gait slowing (ρ = -0.16, p = 0.03) and cognitive impairment (OR 0.17, p = 0.009). Adjustment for right hippocampal volume attenuated the association of gait slowing with cognitive impairment by 23%. CONCLUSIONS The association between gait slowing and cognitive impairment is supported by a shared neural substrate that includes a smaller right hippocampus. This finding underscores the value of long-term gait slowing as an early indicator of dementia risk.
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Affiliation(s)
- Andrea L Rosso
- From the Department of Epidemiology (A.L.R., A.L.M., R.M.B., C.R.), School of Public Health, and Departments of Psychiatry and Bioengineering (H.J.A.), University of Pittsburgh, PA; Department of Neurology and Medicine (J.V.), Albert Einstein College of Medicine, Bronx, NY; Sticht Center for Healthy Aging and Alzheimer's Prevention (S.B.K.), Wake Forest School of Medicine, Winston-Salem, NC; Laboratory of Epidemiology and Population Sciences (T.B.H.), IRP, National Institute on Aging, NIH, Bethesda, MD; Departments of Psychiatry, Neurology, and Epidemiology (K.Y.), University of California, San Francisco; Department of Preventive Medicine (S. Satterfield), University of Tennessee Health Science Center, Memphis; and Longitudinal Studies Section (S. Studenski), National Institute on Aging, Baltimore, MD.
| | - Joe Verghese
- From the Department of Epidemiology (A.L.R., A.L.M., R.M.B., C.R.), School of Public Health, and Departments of Psychiatry and Bioengineering (H.J.A.), University of Pittsburgh, PA; Department of Neurology and Medicine (J.V.), Albert Einstein College of Medicine, Bronx, NY; Sticht Center for Healthy Aging and Alzheimer's Prevention (S.B.K.), Wake Forest School of Medicine, Winston-Salem, NC; Laboratory of Epidemiology and Population Sciences (T.B.H.), IRP, National Institute on Aging, NIH, Bethesda, MD; Departments of Psychiatry, Neurology, and Epidemiology (K.Y.), University of California, San Francisco; Department of Preventive Medicine (S. Satterfield), University of Tennessee Health Science Center, Memphis; and Longitudinal Studies Section (S. Studenski), National Institute on Aging, Baltimore, MD
| | - Andrea L Metti
- From the Department of Epidemiology (A.L.R., A.L.M., R.M.B., C.R.), School of Public Health, and Departments of Psychiatry and Bioengineering (H.J.A.), University of Pittsburgh, PA; Department of Neurology and Medicine (J.V.), Albert Einstein College of Medicine, Bronx, NY; Sticht Center for Healthy Aging and Alzheimer's Prevention (S.B.K.), Wake Forest School of Medicine, Winston-Salem, NC; Laboratory of Epidemiology and Population Sciences (T.B.H.), IRP, National Institute on Aging, NIH, Bethesda, MD; Departments of Psychiatry, Neurology, and Epidemiology (K.Y.), University of California, San Francisco; Department of Preventive Medicine (S. Satterfield), University of Tennessee Health Science Center, Memphis; and Longitudinal Studies Section (S. Studenski), National Institute on Aging, Baltimore, MD
| | - Robert M Boudreau
- From the Department of Epidemiology (A.L.R., A.L.M., R.M.B., C.R.), School of Public Health, and Departments of Psychiatry and Bioengineering (H.J.A.), University of Pittsburgh, PA; Department of Neurology and Medicine (J.V.), Albert Einstein College of Medicine, Bronx, NY; Sticht Center for Healthy Aging and Alzheimer's Prevention (S.B.K.), Wake Forest School of Medicine, Winston-Salem, NC; Laboratory of Epidemiology and Population Sciences (T.B.H.), IRP, National Institute on Aging, NIH, Bethesda, MD; Departments of Psychiatry, Neurology, and Epidemiology (K.Y.), University of California, San Francisco; Department of Preventive Medicine (S. Satterfield), University of Tennessee Health Science Center, Memphis; and Longitudinal Studies Section (S. Studenski), National Institute on Aging, Baltimore, MD
| | - Howard J Aizenstein
- From the Department of Epidemiology (A.L.R., A.L.M., R.M.B., C.R.), School of Public Health, and Departments of Psychiatry and Bioengineering (H.J.A.), University of Pittsburgh, PA; Department of Neurology and Medicine (J.V.), Albert Einstein College of Medicine, Bronx, NY; Sticht Center for Healthy Aging and Alzheimer's Prevention (S.B.K.), Wake Forest School of Medicine, Winston-Salem, NC; Laboratory of Epidemiology and Population Sciences (T.B.H.), IRP, National Institute on Aging, NIH, Bethesda, MD; Departments of Psychiatry, Neurology, and Epidemiology (K.Y.), University of California, San Francisco; Department of Preventive Medicine (S. Satterfield), University of Tennessee Health Science Center, Memphis; and Longitudinal Studies Section (S. Studenski), National Institute on Aging, Baltimore, MD
| | - Stephen Kritchevsky
- From the Department of Epidemiology (A.L.R., A.L.M., R.M.B., C.R.), School of Public Health, and Departments of Psychiatry and Bioengineering (H.J.A.), University of Pittsburgh, PA; Department of Neurology and Medicine (J.V.), Albert Einstein College of Medicine, Bronx, NY; Sticht Center for Healthy Aging and Alzheimer's Prevention (S.B.K.), Wake Forest School of Medicine, Winston-Salem, NC; Laboratory of Epidemiology and Population Sciences (T.B.H.), IRP, National Institute on Aging, NIH, Bethesda, MD; Departments of Psychiatry, Neurology, and Epidemiology (K.Y.), University of California, San Francisco; Department of Preventive Medicine (S. Satterfield), University of Tennessee Health Science Center, Memphis; and Longitudinal Studies Section (S. Studenski), National Institute on Aging, Baltimore, MD
| | - Tamara Harris
- From the Department of Epidemiology (A.L.R., A.L.M., R.M.B., C.R.), School of Public Health, and Departments of Psychiatry and Bioengineering (H.J.A.), University of Pittsburgh, PA; Department of Neurology and Medicine (J.V.), Albert Einstein College of Medicine, Bronx, NY; Sticht Center for Healthy Aging and Alzheimer's Prevention (S.B.K.), Wake Forest School of Medicine, Winston-Salem, NC; Laboratory of Epidemiology and Population Sciences (T.B.H.), IRP, National Institute on Aging, NIH, Bethesda, MD; Departments of Psychiatry, Neurology, and Epidemiology (K.Y.), University of California, San Francisco; Department of Preventive Medicine (S. Satterfield), University of Tennessee Health Science Center, Memphis; and Longitudinal Studies Section (S. Studenski), National Institute on Aging, Baltimore, MD
| | - Kristine Yaffe
- From the Department of Epidemiology (A.L.R., A.L.M., R.M.B., C.R.), School of Public Health, and Departments of Psychiatry and Bioengineering (H.J.A.), University of Pittsburgh, PA; Department of Neurology and Medicine (J.V.), Albert Einstein College of Medicine, Bronx, NY; Sticht Center for Healthy Aging and Alzheimer's Prevention (S.B.K.), Wake Forest School of Medicine, Winston-Salem, NC; Laboratory of Epidemiology and Population Sciences (T.B.H.), IRP, National Institute on Aging, NIH, Bethesda, MD; Departments of Psychiatry, Neurology, and Epidemiology (K.Y.), University of California, San Francisco; Department of Preventive Medicine (S. Satterfield), University of Tennessee Health Science Center, Memphis; and Longitudinal Studies Section (S. Studenski), National Institute on Aging, Baltimore, MD
| | - Suzanne Satterfield
- From the Department of Epidemiology (A.L.R., A.L.M., R.M.B., C.R.), School of Public Health, and Departments of Psychiatry and Bioengineering (H.J.A.), University of Pittsburgh, PA; Department of Neurology and Medicine (J.V.), Albert Einstein College of Medicine, Bronx, NY; Sticht Center for Healthy Aging and Alzheimer's Prevention (S.B.K.), Wake Forest School of Medicine, Winston-Salem, NC; Laboratory of Epidemiology and Population Sciences (T.B.H.), IRP, National Institute on Aging, NIH, Bethesda, MD; Departments of Psychiatry, Neurology, and Epidemiology (K.Y.), University of California, San Francisco; Department of Preventive Medicine (S. Satterfield), University of Tennessee Health Science Center, Memphis; and Longitudinal Studies Section (S. Studenski), National Institute on Aging, Baltimore, MD
| | - Stephanie Studenski
- From the Department of Epidemiology (A.L.R., A.L.M., R.M.B., C.R.), School of Public Health, and Departments of Psychiatry and Bioengineering (H.J.A.), University of Pittsburgh, PA; Department of Neurology and Medicine (J.V.), Albert Einstein College of Medicine, Bronx, NY; Sticht Center for Healthy Aging and Alzheimer's Prevention (S.B.K.), Wake Forest School of Medicine, Winston-Salem, NC; Laboratory of Epidemiology and Population Sciences (T.B.H.), IRP, National Institute on Aging, NIH, Bethesda, MD; Departments of Psychiatry, Neurology, and Epidemiology (K.Y.), University of California, San Francisco; Department of Preventive Medicine (S. Satterfield), University of Tennessee Health Science Center, Memphis; and Longitudinal Studies Section (S. Studenski), National Institute on Aging, Baltimore, MD
| | - Caterina Rosano
- From the Department of Epidemiology (A.L.R., A.L.M., R.M.B., C.R.), School of Public Health, and Departments of Psychiatry and Bioengineering (H.J.A.), University of Pittsburgh, PA; Department of Neurology and Medicine (J.V.), Albert Einstein College of Medicine, Bronx, NY; Sticht Center for Healthy Aging and Alzheimer's Prevention (S.B.K.), Wake Forest School of Medicine, Winston-Salem, NC; Laboratory of Epidemiology and Population Sciences (T.B.H.), IRP, National Institute on Aging, NIH, Bethesda, MD; Departments of Psychiatry, Neurology, and Epidemiology (K.Y.), University of California, San Francisco; Department of Preventive Medicine (S. Satterfield), University of Tennessee Health Science Center, Memphis; and Longitudinal Studies Section (S. Studenski), National Institute on Aging, Baltimore, MD
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Demnitz N, Zsoldos E, Mahmood A, Mackay CE, Kivimäki M, Singh-Manoux A, Dawes H, Johansen-Berg H, Ebmeier KP, Sexton CE. Associations between Mobility, Cognition, and Brain Structure in Healthy Older Adults. Front Aging Neurosci 2017; 9:155. [PMID: 28588477 PMCID: PMC5440513 DOI: 10.3389/fnagi.2017.00155] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2017] [Accepted: 05/05/2017] [Indexed: 11/13/2022] Open
Abstract
Mobility limitations lead to a cascade of adverse events in old age, yet the neural and cognitive correlates of mobility performance in older adults remain poorly understood. In a sample of 387 adults (mean age 69.0 ± 5.1 years), we tested the relationship between mobility measures, cognitive assessments, and MRI markers of brain structure. Mobility was assessed in 2007-2009, using gait, balance and chair-stands tests. In 2012-2015, cognitive testing assessed executive function, memory and processing-speed; gray matter volumes (GMV) were examined using voxel-based morphometry, and white matter microstructure was assessed using tract-based spatial statistics of fractional anisotropy, axial diffusivity (AD), and radial diffusivity (RD). All mobility measures were positively associated with processing-speed. Faster walking speed was also correlated with higher executive function, while memory was not associated with any mobility measure. Increased GMV within the cerebellum, basal ganglia, post-central gyrus, and superior parietal lobe was associated with better mobility. In addition, better performance on the chair-stands test was correlated with decreased RD and AD. Overall, our results indicate that, even in non-clinical populations, mobility measures can be sensitive to sub-clinical variance in cognition and brain structures.
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Affiliation(s)
- Naiara Demnitz
- Department of Psychiatry, University of Oxford, Warneford HospitalOxford, United Kingdom.,Oxford Centre for Functional MRI of the Brain, Nuffield Department of Clinical Neurosciences, University of OxfordJohn Radcliffe Hospital, Oxford, United Kingdom
| | - Enikő Zsoldos
- Department of Psychiatry, University of Oxford, Warneford HospitalOxford, United Kingdom
| | - Abda Mahmood
- Department of Psychiatry, University of Oxford, Warneford HospitalOxford, United Kingdom
| | - Clare E Mackay
- Department of Epidemiology and Public Health, University College LondonLondon, United Kingdom
| | - Mika Kivimäki
- Department of Epidemiology and Public Health, University College LondonLondon, United Kingdom
| | - Archana Singh-Manoux
- Department of Epidemiology and Public Health, University College LondonLondon, United Kingdom
| | - Helen Dawes
- Oxford Institute of Nursing, Midwifery and Allied Health Research, Oxford Brookes UniversityOxford, United Kingdom
| | - Heidi Johansen-Berg
- Oxford Centre for Functional MRI of the Brain, Nuffield Department of Clinical Neurosciences, University of OxfordJohn Radcliffe Hospital, Oxford, United Kingdom
| | - Klaus P Ebmeier
- Department of Psychiatry, University of Oxford, Warneford HospitalOxford, United Kingdom
| | - Claire E Sexton
- Oxford Centre for Functional MRI of the Brain, Nuffield Department of Clinical Neurosciences, University of OxfordJohn Radcliffe Hospital, Oxford, United Kingdom
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Does neuromuscular electrical stimulation training of the lower limb have functional effects on the elderly?: A systematic review. Exp Gerontol 2017; 91:88-98. [DOI: 10.1016/j.exger.2017.02.070] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2016] [Revised: 01/04/2017] [Accepted: 02/15/2017] [Indexed: 11/17/2022]
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Wennberg AMV, Savica R, Mielke MM. Association between Various Brain Pathologies and Gait Disturbance. Dement Geriatr Cogn Disord 2017; 43:128-143. [PMID: 28152532 PMCID: PMC5466166 DOI: 10.1159/000456541] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/15/2017] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Approximately 30% of older adults have disrupted gait. It is associated with increased risk of cognitive decline, disability, dementia, and death. Additionally, most older adults present with 1 or more neuropathologies at autopsy. Recently, there has been an effort to investigate the association between subclinical neuropathology and gait. SUMMARY We reviewed studies that investigated the association between gait and neuropathologies. Although all pathologies reviewed were associated with gait, grey matter atrophy was most consistently linked with poorer gait performance. Studies investigating the association between white matter and gait focused primarily on total white matter. Future research using more parsed regional analysis will provide more insight into this relationship. Evidence from studies investigating neuronal activity and gait suggests that gait disruption is associated with both under- and overactivation. Additional research is needed to delineate these conflicting results. Lastly, early evidence suggests that both amyloid and tau aggregation negatively impact multiple gait parameters, but additional studies are warranted. Overall, there was substantial methodological heterogeneity and a paucity of longitudinal studies. Key Messages: Longitudinal studies mapping changes in different types of neuropathology as they relate to changes in multiple gait parameters are needed to better understand trajectories of pathology and gait.
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Affiliation(s)
| | - Rodolfo Savica
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA,Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - Michelle M. Mielke
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA,Department of Neurology, Mayo Clinic, Rochester, MN, USA
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Kose Y, Ikenaga M, Yamada Y, Morimura K, Takeda N, Ouma S, Tsuboi Y, Yamada T, Kimura M, Kiyonaga A, Higaki Y, Tanaka H. Timed Up and Go test, atrophy of medial temporal areas and cognitive functions in community-dwelling older adults with normal cognition and mild cognitive impairment. Exp Gerontol 2016; 85:81-87. [DOI: 10.1016/j.exger.2016.09.019] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2016] [Revised: 09/14/2016] [Accepted: 09/26/2016] [Indexed: 11/26/2022]
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36
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Beauchet O, Barden J, Liu-Ambrose T, Chester VL, Annweiler C, Szturm T, Grenier S, Léonard G, Bherer L, Allali G. Anti-Dementia Drugs, Gait Performance and Mental Imagery of Gait: A Non-Randomized Open-Label Trial. Drugs Aging 2016; 33:665-73. [DOI: 10.1007/s40266-016-0391-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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