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Malek-Ahmadi M, Schack K, Duff K, Koppelmans V, King JB, Su Y, Schaefer SY. Cortical Thickness Predictors of Performance-Based Functional Task Variability in the Alzheimer Disease Spectrum. Alzheimer Dis Assoc Disord 2025; 39:82-86. [PMID: 40358086 DOI: 10.1097/wad.0000000000000672] [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: 03/07/2025] [Accepted: 04/15/2025] [Indexed: 05/15/2025]
Abstract
PURPOSE Determine whether regional measures of cortical thickness are associated with functional task performance. PATIENTS One hundred six older adults who were classified as either cognitively unimpaired (CU), mild cognitive impairment (MCI), or Alzheimer disease (AD) completed a performance-based functional task. METHODS The SD of completion times of 6 consecutive trials within a session of the functional task was used as the primary measure for each participant, reflecting intraindividual variability. Regression tree analysis identified cortical gray matter thickness measures that best predicted intraindividual variability on the functional task. RESULTS Cortical thickness measures from temporal, parietal, frontal, and occipital regions best predicted intraindividual variability on the task, which are cortical regions associated with learning, executive function, and visuospatial function. Specifically, the fusiform gyrus was featured prominently in these and prior regression tree results, suggesting its possible involvement in this behavioral task. CONCLUSION These analyses suggest a mechanistic focus of variability on this functional task, which could serve as an outcome in clinical trials.
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Affiliation(s)
- Michael Malek-Ahmadi
- Banner Alzheimer Institute
- University of Arizona College of Medicine-Phoenix, Phoenix
| | | | - Kevin Duff
- Oregon Health Sciences University, Layton Aging and Alzheimer Disease Research Center, Portland, OR
| | | | - Jace B King
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT
| | - Yi Su
- Banner Alzheimer Institute
- Arizona State University, Tempe, AZ
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Jochems ACC, Muñoz Maniega S, Chappell FM, Clancy U, Arteaga C, Jaime Garcia D, Hamilton OKL, Hewins W, Locherty R, Backhouse EV, Barclay G, Jardine C, McIntyre D, Gerrish I, Cheng Y, Liu X, Zhang J, Kampaite A, Sakka E, Valdés Hernández M, Wiseman S, Stringer MS, Thrippleton MJ, Doubal FN, Wardlaw JM. Impact of long-term white matter hyperintensity changes on mobility and dexterity. Brain Commun 2024; 6:fcae133. [PMID: 38715716 PMCID: PMC11074793 DOI: 10.1093/braincomms/fcae133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Revised: 01/26/2024] [Accepted: 04/24/2024] [Indexed: 06/30/2024] Open
Abstract
White matter hyperintensities (WMH), a common feature of cerebral small vessel disease, are related to worse clinical outcomes after stroke. We assessed the impact of white matter hyperintensity changes over 1 year after minor stroke on change in mobility and dexterity, including differences between the dominant and non-dominant hands and objective in-person assessment versus patient-reported experience. We recruited participants with lacunar or minor cortical ischaemic stroke, performed medical and cognitive assessments and brain MRI at presentation and at 1 year. At both time points, we used the timed-up and go test and the 9-hole peg test to assess mobility and dexterity. At 1 year, participants completed the Stroke Impact Scale. We ran two linear mixed models to assess change in timed-up and go and 9-hole peg test, adjusted for age, sex, stroke severity (National Institutes of Health Stroke Scale), dependency (modified Rankin Score), vascular risk factor score, white matter hyperintensity volume (as % intracranial volume) and additionally for 9-hole peg test: Montreal cognitive assessment, hand (dominant/non-dominant), National Adult Reading Test (premorbid IQ), index lesion side. We performed ordinal logistic regression, corrected for age and sex, to assess relations between timed-up and go and Stroke Impact Scale mobility, and 9-hole peg test and Stroke Impact Scale hand function. We included 229 participants, mean age 65.9 (standard deviation = 11.13); 66% male. 215/229 attended 1-year follow-up. Over 1 year, timed-up and go time increased with aging (standardized β [standardized 95% Confidence Interval]: 0.124[0.011, 0.238]), increasing National Institutes of Health Stroke Scale (0.106[0.032, 0.180]), increasing modified Rankin Score (0.152[0.073, 0.231]) and increasing white matter hyperintensity volume (0.176[0.061, 0.291]). Men were faster than women (-0.306[0.011, 0.238]). Over 1 year, slower 9-hole peg test was related to use of non-dominant hand (0.290[0.155, 0.424]), aging (0.102[0.012, 0.192]), male sex (0.182[0.008, 0.356]), increasing National Institutes of Health Stroke Scale (0.160 [0.094, 0.226]), increasing modified Rankin Score (0.100[0.032, 0.169]), decreasing Montreal cognitive assessment score (-0.090[-0.167, -0.014]) and increasing white matter hyperintensity volume (0.104[0.015, 0.193]). One year post-stroke, Stroke Impact Scale mobility worsened per second increase on timed-up and go, odds ratio 0.67 [95% confidence interval 0.60, 0.75]. Stroke Impact Scale hand function worsened per second increase on the 9-hole peg test for the dominant hand (odds ratio 0.79 [0.71, 0.86]) and for the non-dominant hand (odds ratio 0.88 [0.83, 0.93]). Decline in mobility and dexterity is associated with white matter hyperintensity volume increase, independently of stroke severity. Mobility and dexterity declined more gradually for stable and regressing white matter hyperintensity volume. Dominant and non-dominant hands might be affected differently. In-person measures of dexterity and mobility are associated with self-reported experience 1-year post-stroke.
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Affiliation(s)
- Angela C C Jochems
- Centre for Clinical Brain Sciences, University of Edinburgh, EH16 4SB Edinburgh, United Kingdom
- MRC UK Dementia Research Institute at the University of Edinburgh, EH16 4SB Edinburgh, United Kingdom
| | - Susana Muñoz Maniega
- Centre for Clinical Brain Sciences, University of Edinburgh, EH16 4SB Edinburgh, United Kingdom
- MRC UK Dementia Research Institute at the University of Edinburgh, EH16 4SB Edinburgh, United Kingdom
| | - Francesca M Chappell
- Centre for Clinical Brain Sciences, University of Edinburgh, EH16 4SB Edinburgh, United Kingdom
- MRC UK Dementia Research Institute at the University of Edinburgh, EH16 4SB Edinburgh, United Kingdom
| | - Una Clancy
- Centre for Clinical Brain Sciences, University of Edinburgh, EH16 4SB Edinburgh, United Kingdom
- MRC UK Dementia Research Institute at the University of Edinburgh, EH16 4SB Edinburgh, United Kingdom
| | - Carmen Arteaga
- Centre for Clinical Brain Sciences, University of Edinburgh, EH16 4SB Edinburgh, United Kingdom
- MRC UK Dementia Research Institute at the University of Edinburgh, EH16 4SB Edinburgh, United Kingdom
| | - Daniela Jaime Garcia
- Centre for Clinical Brain Sciences, University of Edinburgh, EH16 4SB Edinburgh, United Kingdom
- MRC UK Dementia Research Institute at the University of Edinburgh, EH16 4SB Edinburgh, United Kingdom
| | - Olivia K L Hamilton
- Centre for Clinical Brain Sciences, University of Edinburgh, EH16 4SB Edinburgh, United Kingdom
- MRC UK Dementia Research Institute at the University of Edinburgh, EH16 4SB Edinburgh, United Kingdom
- MRC/CSO Social and Public Health Sciences Unit, School of Health and Wellbeing, University of Glasgow, G12 8TB Glasgow, United Kingdom
| | - Will Hewins
- Centre for Clinical Brain Sciences, University of Edinburgh, EH16 4SB Edinburgh, United Kingdom
- MRC UK Dementia Research Institute at the University of Edinburgh, EH16 4SB Edinburgh, United Kingdom
| | - Rachel Locherty
- Centre for Clinical Brain Sciences, University of Edinburgh, EH16 4SB Edinburgh, United Kingdom
- MRC UK Dementia Research Institute at the University of Edinburgh, EH16 4SB Edinburgh, United Kingdom
| | - Ellen V Backhouse
- Centre for Clinical Brain Sciences, University of Edinburgh, EH16 4SB Edinburgh, United Kingdom
- MRC UK Dementia Research Institute at the University of Edinburgh, EH16 4SB Edinburgh, United Kingdom
| | - Gayle Barclay
- Centre for Clinical Brain Sciences, University of Edinburgh, EH16 4SB Edinburgh, United Kingdom
- Edinburgh Imaging Facility, Royal Infirmary of Edinburgh, EH16 4TJ Edinburgh, United Kingdom
| | - Charlotte Jardine
- Centre for Clinical Brain Sciences, University of Edinburgh, EH16 4SB Edinburgh, United Kingdom
- Edinburgh Imaging Facility, Royal Infirmary of Edinburgh, EH16 4TJ Edinburgh, United Kingdom
| | - Donna McIntyre
- Centre for Clinical Brain Sciences, University of Edinburgh, EH16 4SB Edinburgh, United Kingdom
- Edinburgh Imaging Facility, Royal Infirmary of Edinburgh, EH16 4TJ Edinburgh, United Kingdom
| | - Iona Gerrish
- Centre for Clinical Brain Sciences, University of Edinburgh, EH16 4SB Edinburgh, United Kingdom
- Edinburgh Imaging Facility, Royal Infirmary of Edinburgh, EH16 4TJ Edinburgh, United Kingdom
| | - Yajun Cheng
- Centre for Clinical Brain Sciences, University of Edinburgh, EH16 4SB Edinburgh, United Kingdom
- MRC UK Dementia Research Institute at the University of Edinburgh, EH16 4SB Edinburgh, United Kingdom
- Department of Neurology, West China Hospital of Sichuan University, 610041 Chengdu, China
| | - Xiaodi Liu
- Centre for Clinical Brain Sciences, University of Edinburgh, EH16 4SB Edinburgh, United Kingdom
- MRC UK Dementia Research Institute at the University of Edinburgh, EH16 4SB Edinburgh, United Kingdom
- Department of Medicine, LKS Faculty of Medicine, University of Hong Kong, Hong Kong, China
| | - Junfang Zhang
- Centre for Clinical Brain Sciences, University of Edinburgh, EH16 4SB Edinburgh, United Kingdom
- MRC UK Dementia Research Institute at the University of Edinburgh, EH16 4SB Edinburgh, United Kingdom
- Department of Neurology, Shanghai General Hospital, Shanghai Jiao Tong University School of medicine, 200080 Shanghai, China
| | - Agniete Kampaite
- Centre for Clinical Brain Sciences, University of Edinburgh, EH16 4SB Edinburgh, United Kingdom
| | - Eleni Sakka
- Centre for Clinical Brain Sciences, University of Edinburgh, EH16 4SB Edinburgh, United Kingdom
| | - Maria Valdés Hernández
- Centre for Clinical Brain Sciences, University of Edinburgh, EH16 4SB Edinburgh, United Kingdom
- MRC UK Dementia Research Institute at the University of Edinburgh, EH16 4SB Edinburgh, United Kingdom
| | - Stewart Wiseman
- Centre for Clinical Brain Sciences, University of Edinburgh, EH16 4SB Edinburgh, United Kingdom
- MRC UK Dementia Research Institute at the University of Edinburgh, EH16 4SB Edinburgh, United Kingdom
| | - Michael S Stringer
- Centre for Clinical Brain Sciences, University of Edinburgh, EH16 4SB Edinburgh, United Kingdom
- MRC UK Dementia Research Institute at the University of Edinburgh, EH16 4SB Edinburgh, United Kingdom
| | - Michael J Thrippleton
- Centre for Clinical Brain Sciences, University of Edinburgh, EH16 4SB Edinburgh, United Kingdom
- MRC UK Dementia Research Institute at the University of Edinburgh, EH16 4SB Edinburgh, United Kingdom
- Edinburgh Imaging Facility, Royal Infirmary of Edinburgh, EH16 4TJ Edinburgh, United Kingdom
| | - Fergus N Doubal
- Centre for Clinical Brain Sciences, University of Edinburgh, EH16 4SB Edinburgh, United Kingdom
- MRC UK Dementia Research Institute at the University of Edinburgh, EH16 4SB Edinburgh, United Kingdom
| | - Joanna M Wardlaw
- Centre for Clinical Brain Sciences, University of Edinburgh, EH16 4SB Edinburgh, United Kingdom
- MRC UK Dementia Research Institute at the University of Edinburgh, EH16 4SB Edinburgh, United Kingdom
- Edinburgh Imaging Facility, Royal Infirmary of Edinburgh, EH16 4TJ Edinburgh, United Kingdom
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Everard G, Boivin S, Boulay G, Duchemin R, Batcho CS. Immersive Virtual Reality to Assess Arm Kinematics among Older Adults with and without Major Neurocognitive Disorder - An Exploratory Cross-Sectional Study. Neuroscience 2024; 537:47-57. [PMID: 38006964 DOI: 10.1016/j.neuroscience.2023.10.024] [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: 09/13/2023] [Revised: 10/23/2023] [Accepted: 10/30/2023] [Indexed: 11/27/2023]
Abstract
Despite the recommendation of improving assessment objectivity and frequency, the use of immersive virtual reality to measure and quantify movement quality remains underexplored. In this study, we aimed to evaluate the reliability, validity and usability of an immersive virtual reality application, KinematicsVR, to assess upper limb kinematics among older adults with and without major neurocognitive disorder. The KinematicsVR involves the drawing of three-dimensional straight lines, circles and squares using a controller in a virtual environment. Twenty-eight older adults with or without major neurocognitive disorder were recruited. Reliability was evaluated through correlations on test-retest and validity through correlations between KinematicsVR variables and other functional tests (TEMPA, BBT-VR and Finger-Nose Test). The usability of the KinematicsVR was assessed with the System Usability Scale questionnaire. Kinematic indexes were compared between eight adults with major neurocognitive disorder and eight matched controls. Results indicated that most variables provided by the KinematicsVR had excellent reliability for tasks involving the drawing of straight lines and circles, but moderate reliability for tasks involving the drawing of squares. Secondary analyses showed that the usability of the application was excellent but few significant and strong correlations were observed between variables of the KinematicsVR and the scores of the TEMPA scale, Finger-Nose Test and BBT-VR. Adults with major neurocognitive disorder, when compared to other older adults, made larger and less linear hand movements. These findings provide perspectives for the use of immersive virtual reality to improve assessment frequency and objectivity through the autonomous measure of upper limb kinematics in older adults.
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Affiliation(s)
- Gauthier Everard
- School of Rehabilitation Sciences, Faculty of Medicine, Laval University, Quebec, QC, Canada; Centre interdisciplinaire de recherche en réadaptation et intégration sociale, Université Laval, Quebec, Canada; Neuro Musculo Skeletal Lab (NMSK), Institut de Recherche Expérimentale et Clinique, Secteur des Sciences de la Santé, UCLouvain, Brussels, Belgium
| | - Sophie Boivin
- School of Rehabilitation Sciences, Faculty of Medicine, Laval University, Quebec, QC, Canada
| | - Geneviève Boulay
- School of Rehabilitation Sciences, Faculty of Medicine, Laval University, Quebec, QC, Canada
| | - Roxane Duchemin
- School of Rehabilitation Sciences, Faculty of Medicine, Laval University, Quebec, QC, Canada
| | - Charles Sebiyo Batcho
- School of Rehabilitation Sciences, Faculty of Medicine, Laval University, Quebec, QC, Canada; Centre interdisciplinaire de recherche en réadaptation et intégration sociale, Université Laval, Quebec, Canada.
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Iandolo R, Avci E, Bommarito G, Sandvig I, Rohweder G, Sandvig A. Characterizing upper extremity fine motor function in the presence of white matter hyperintensities: A 7 T MRI cross-sectional study in older adults. Neuroimage Clin 2024; 41:103569. [PMID: 38281363 PMCID: PMC10839532 DOI: 10.1016/j.nicl.2024.103569] [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: 07/10/2023] [Revised: 01/19/2024] [Accepted: 01/21/2024] [Indexed: 01/30/2024]
Abstract
BACKGROUND White matter hyperintensities (WMH) are a prevalent radiographic finding in the aging brain studies. Research on WMH association with motor impairment is mostly focused on the lower-extremity function and further investigation on the upper-extremity is needed. How different degrees of WMH burden impact the network of activation recruited during upper limb motor performance could provide further insight on the complex mechanisms of WMH pathophysiology and its interaction with aging and neurological disease processes. METHODS 40 healthy elderly subjects without a neurological/psychiatric diagnosis were included in the study (16F, mean age 69.3 years). All subjects underwent ultra-high field 7 T MRI including structural and finger tapping task-fMRI. First, we quantified the WMH lesion load and its spatial distribution. Secondly, we performed a data-driven stratification of the subjects according to their periventricular and deep WMH burdens. Thirdly, we investigated the distribution of neural recruitment and the corresponding activity assessed through BOLD signal changes among different brain regions for groups of subjects. We clustered the degree of WMH based on location, numbers, and volume into three categories; ranging from mild, moderate, and severe. Finally, we explored how the spatial distribution of WMH, and activity elicited during task-fMRI relate to motor function, measured with the 9-Hole Peg Test. RESULTS Within our population, we found three subgroups of subjects, partitioned according to their periventricular and deep WMH lesion load. We found decreased activity in several frontal and cingulate cortex areas in subjects with a severe WMH burden. No statistically significant associations were found when performing the brain-behavior statistical analysis for structural or functional data. CONCLUSION WMH burden has an effect on brain activity during fine motor control and the activity changes are associated with varying degrees of the total burden and distributions of WMH lesions. Collectively, our results shed new light on the potential impact of WMH on motor function in the context of aging and neurodegeneration.
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Affiliation(s)
- Riccardo Iandolo
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
| | - Esin Avci
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
| | - Giulia Bommarito
- Department of Clinical Neurosciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Ioanna Sandvig
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Gitta Rohweder
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway; Stroke Unit, Department of Medicine, St Olav's University Hospital, Trondheim, Norway
| | - Axel Sandvig
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway; Department of Neurology and Clinical Neurophysiology, St. Olav's University Hospital, Trondheim, Norway; Department of Clinical Neurosciences, Division of Neuro, Head and Neck, Umeå University Hospital, Umeå, Sweden; Department of Community Medicine and Rehabilitation, Umeå University Hospital, Umeå, Sweden.
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Malek-Ahmadi M, Duff K, Chen K, Su Y, King JB, Koppelmans V, Schaefer SY. Volumetric regional MRI and neuropsychological predictors of motor task variability in cognitively unimpaired, Mild Cognitive Impairment, and probable Alzheimer's disease older adults. Exp Gerontol 2023; 173:112087. [PMID: 36639062 PMCID: PMC9974847 DOI: 10.1016/j.exger.2023.112087] [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: 09/22/2022] [Revised: 12/24/2022] [Accepted: 01/09/2023] [Indexed: 01/12/2023]
Abstract
INTRODUCTION The mechanisms linking motor function to Alzheimer's disease (AD) progression have not been well studied, despite evidence of AD pathology within motor brain regions. Thus, there is a need for new motor measure that is sensitive and specific to AD. METHODS In a sample of 121 older adults (54 cognitive unimpaired [CU], 35 amnestic Mild Cognitive Impairment [aMCI], and 32 probable mild AD), intrasubject standard deviation (ISD) across six trials of a novel upper-extremity motor task was predicted with volumetric regional gray matter and neuropsychological scores using classification and regression tree (CART) analyses. RESULTS Both gray matter and neuropsychological CART models indicated that motor task ISD (our measure of motor learning) was related to cortical regions and cognitive test scores associated with memory, executive function, and visuospatial skills. CART models also accurately distinguished motor task ISD of MCI and probable mild AD from CU. DISCUSSION Variability in motor task performance across practice trials may be valuable for understanding preclinical and early-stage AD.
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Affiliation(s)
- Michael Malek-Ahmadi
- Banner Alzheimer's Institute, Phoenix, AZ 85006, United States of America; Department of Biomedical Informatics, University of Arizona College of Medicine-Phoenix, Phoenix, AZ 85006, United States of America
| | - Kevin Duff
- Center for Alzheimer's Care, Imaging, & Research, University of Utah, Salt Lake City, UT 84108, United States of America
| | - Kewei Chen
- Banner Alzheimer's Institute, Phoenix, AZ 85006, United States of America
| | - Yi Su
- Banner Alzheimer's Institute, Phoenix, AZ 85006, United States of America
| | - Jace B King
- Center for Alzheimer's Care, Imaging, & Research, University of Utah, Salt Lake City, UT 84108, United States of America
| | - Vincent Koppelmans
- Department of Psychiatry, University of Utah, Salt Lake City, UT 84108, United States of America
| | - Sydney Y Schaefer
- School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ 85287, United States of America.
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Vasylenko O, Gorecka MM, Waterloo K, Rodríguez-Aranda C. Reduction in manual asymmetry and decline in fine manual dexterity in right-handed older adults with mild cognitive impairment. Laterality 2022; 27:581-604. [PMID: 35974663 DOI: 10.1080/1357650x.2022.2111437] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Research in Parkinson's or Alzheimer's disease suggests that hand function is affected by neurodegenerative diseases. However, little is known about the relationship between hand function and mild cognitive impairment (MCI). Therefore, we conducted a kinematic analysis of unimanual hand movements in MCI patients to answer whether manual asymmetries and manual dexterity are affected or preserved in this condition. Forty-one MCI patients and fifty healthy controls were tested with the Purdue Pegboard test. All participants were right-handed. Kinematic analyses (by hand) were calculated for path length, angle, and linear and angular velocities during reaching, grasping, transport and inserting. Group differences were tested by with factorial MANOVAs and laterality indexes (LI) were assessed. Groups were compared on "Right-Left" hand correlations to identify kinematics that best single-out patients. Kinematics from grasping and inserting were significantly more deteriorated in the MCI group, while outcomes for reaching and transport denoted superior performance. LIs data showed symmetry of movements in the MCI group, during reaching and transport. Comparisons of "Right-Left" hand correlations revealed that kinematics in reaching and transport were more symmetrical in patients. This study showed a deterioration of fine manual dexterity, an enhancement in gross dexterity of upper-limbs, and symmetrical movements in MCI patients.
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Affiliation(s)
- Olena Vasylenko
- Department of Psychology, UiT, The Artic University of Norway, Tromsø, Norway
| | - Marta M Gorecka
- Department of Psychology, UiT, The Artic University of Norway, Tromsø, Norway
| | - Knut Waterloo
- Department of Psychology, UiT, The Artic University of Norway, Tromsø, Norway.,Department of Neurology, University Hospital of North Norway, Tromsø, Norway
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Wang J, Xie J, Li M, Ren D, Li Y, He Y, Ao Y, Liao S. Finger exercise alleviates mild cognitive impairment of older persons: A community-based randomized trial. Geriatr Nurs 2022; 47:42-46. [PMID: 35850030 DOI: 10.1016/j.gerinurse.2022.06.014] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2022] [Revised: 06/22/2022] [Accepted: 06/24/2022] [Indexed: 02/05/2023]
Abstract
Mild cognitive impairment (MCI) is common in the older population, with a lifetime progression rate into dementia of 60% to 65%, which has highlighted the importance and realistic value of management of MCI in the context of global aging. We conducted a randomized controlled trial involving 232 participants (117 in the intervention group, 115 in the control group) to determine the effect of finger exercise on the cognitive function of community-dwelling older persons with MCI. The Mini-Mental State Exam (MMSE) was used to measure cognitive function at baseline and the end of the study. After controlling for sociodemographic variables, the effect of finger exercise on MCI was assured and with a large effect size [F(1,21) = 106.351, p < 0.001, ηp2 = 0.325]. Finger exercise could serve as an economic and convenient alternative to the early-stage management of MCI, while more research is in need to further support this finding.
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Affiliation(s)
- Jing Wang
- Ya'an Polytechnic College, Ya'an, Sichuan, China
| | - Jun Xie
- Information Technology Center, West China Hospital of Sichuan University/Engineering Research Center of Medical Information Technology, Ministry of Education, Chengdu, Sichuan, China
| | - Mian Li
- Bioinformatics Lab, Hangzhou Taoxue Space Ltd., Hangzhou, Zhejiang, China
| | - Dongmei Ren
- Ya'an Polytechnic College, Ya'an, Sichuan, China
| | - Yuan Li
- Department of Nursing, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China; Department of Nursing, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Sichuan University, Ministry of Education, No. 20, Section 3, People's South Road, Chengdu, Sichuan 610041, China
| | - Yue He
- Sichuan Rehablitation Hospital, Chengdu, Sichuan, China
| | - Yiling Ao
- Sichuan University of Science and Technology, Meishan, Sichuan, China
| | - Shujuan Liao
- Department of Nursing, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China; Department of Nursing, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Sichuan University, Ministry of Education, No. 20, Section 3, People's South Road, Chengdu, Sichuan 610041, China.
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Miyanishi H, Kitazawa A, Izuo N, Muramatsu SI, Nitta A. N-Acetyl Transferase, Shati/Nat8l, in the Dorsal Hippocampus Suppresses Aging-induced Impairment of Cognitive Function in Mice. Neurochem Res 2022; 47:2703-2714. [DOI: 10.1007/s11064-022-03594-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 03/02/2022] [Accepted: 03/30/2022] [Indexed: 12/11/2022]
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Grusdat NP, Stäuber A, Tolkmitt M, Schnabel J, Schubotz B, Schulz H. Routine Cancer Treatment Regimens and Its Impact on Fine Motor Dexterity in Breast Cancer. Oncol Res Treat 2021; 45:37-44. [PMID: 34644712 DOI: 10.1159/000519829] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Accepted: 09/22/2021] [Indexed: 11/19/2022]
Abstract
INTRODUCTION Breast cancer can be a major challenge for those affected. Knowledge of changes in fine motor dexterity in affected women due to routine cancer therapies can help guide effective support. METHODS For this prospective observational study, we collected data of 79 women with a mean age 54.6 ± 9.5 years prior to, after breast cancer therapy (T1), and at 3-month follow-up. The fine motor dexterity was assessed for 4 treatment subgroups: SC = Surgery + Chemotherapy, SCR = Surgery + Chemotherapy + Radiotherapy Therapy, SR = Surgery + Radiotherapy, and S = Surgery. RESULTS Over time, women with breast cancer showed significant decreases in fine motor dexterity across all treatment groups (p < 0.001). The strongest negative effect was seen in the treatment groups receiving additional chemotherapy. SCR group showed pronounced limitations for dominant hand (DH) -12%; non-dominant hand (NDH) -15%; both hands (BH) -17%; assembly (ASSY) -11% at T1. Significant interaction was noticeable in DH (F = 5.59, p < 0.001), NDH (F = 6.61, p < 0.001), BH (F = 13.11 p < 0.001), and ASSY (F = 5.84 p < 0.001). DISCUSSION/CONCLUSION Our study showed that the extent of change in fine motor dexterity depends on the treatment regimen. The detection of unmet care needs could help to personalize and optimize clinical and survivorship care. Based on our findings, multidisciplinary support initiated early in breast cancer therapy is required.
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Affiliation(s)
- Niklas Paul Grusdat
- Professorship of Sports Medicine/Sports Biology, Chemnitz University of Technology, Chemnitz, Germany
| | - Alexander Stäuber
- Professorship of Sports Medicine/Sports Biology, Chemnitz University of Technology, Chemnitz, Germany
| | - Marion Tolkmitt
- Deutsches Rotes Kreuz Krankenhaus Chemnitz-Rabenstein, German Red Cross Hospital, Chemnitz, Germany
| | - Jens Schnabel
- Deutsches Rotes Kreuz Krankenhaus Chemnitz-Rabenstein, German Red Cross Hospital, Chemnitz, Germany
| | - Birgit Schubotz
- Tumorzentrum Chemnitz e.V., Clinical Cancer Registry Chemnitz, Chemnitz, Germany
| | - Henry Schulz
- Professorship of Sports Medicine/Sports Biology, Chemnitz University of Technology, Chemnitz, Germany
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Hooyman A, Talboom JS, DeBoth MD, Ryan L, Huentelman M, Schaefer SY. Remote, Unsupervised Functional Motor Task Evaluation in Older Adults across the United States Using the MindCrowd Electronic Cohort. Dev Neuropsychol 2021; 46:435-446. [PMID: 34612107 PMCID: PMC8671381 DOI: 10.1080/87565641.2021.1979005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Revised: 09/01/2021] [Accepted: 09/04/2021] [Indexed: 10/20/2022]
Abstract
COVID-19 has impacted the ability to evaluate motor function in older adults, as motor assessments typically require face-to-face interaction. One hundred seventy-seven older adults nationwide completed an unsupervised functional upper-extremity assessment at home. Data were compared to data from an independent sample of community-dwelling older adults (N = 250) assessed in lab. The effect of age on performance was similar between the in-lab and at-home groups. Practice effects were also similar. Assessing upper-extremity motor function remotely is feasible and reliable in community-dwelling older adults. This test offers a practical solution for telehealth practice and other research involving remote or geographically isolated individuals.
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Affiliation(s)
- Andrew Hooyman
- School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, USA
- The Arizona Alzheimer’s Consortium, Phoenix, AZ, USA
| | - Joshua S. Talboom
- The Arizona Alzheimer’s Consortium, Phoenix, AZ, USA
- Neurogenomics Division, The Translational Genomics Research Institute (TGen), Phoenix, AZ, USA
| | - Matthew D. DeBoth
- The Arizona Alzheimer’s Consortium, Phoenix, AZ, USA
- Neurogenomics Division, The Translational Genomics Research Institute (TGen), Phoenix, AZ, USA
| | - Lee Ryan
- The Arizona Alzheimer’s Consortium, Phoenix, AZ, USA
- Evelyn F. McKnight Brain Institute, University of Arizona, Tucson, AZ, USA
| | - Matt Huentelman
- The Arizona Alzheimer’s Consortium, Phoenix, AZ, USA
- Neurogenomics Division, The Translational Genomics Research Institute (TGen), Phoenix, AZ, USA
| | - Sydney Y. Schaefer
- School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, USA
- The Arizona Alzheimer’s Consortium, Phoenix, AZ, USA
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