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Čepukaitytė G, Newton C, Chan D. Early detection of diseases causing dementia using digital navigation and gait measures: A systematic review of evidence. Alzheimers Dement 2024; 20:3054-3073. [PMID: 38425234 PMCID: PMC11032572 DOI: 10.1002/alz.13716] [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: 08/14/2023] [Revised: 12/29/2023] [Accepted: 01/04/2024] [Indexed: 03/02/2024]
Abstract
Wearable digital technologies capable of measuring everyday behaviors could improve the early detection of dementia-causing diseases. We conducted two systematic reviews following Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines to establish the evidence base for measuring navigation and gait, two everyday behaviors affected early in AD and non-AD disorders and not adequately measured in current practice. PubMed and Web of Science databases were searched for studies on asymptomatic and early-stage symptomatic individuals at risk of dementia, with the Newcastle-Ottawa Scale used to assess bias and evaluate methodological quality. Of 316 navigation and 2086 gait records identified, 27 and 83, respectively, were included in the final sample. We highlight several measures that may identify at-risk individuals, whose quantifiability with different devices mitigates the risk of future technological obsolescence. Beyond navigation and gait, this review also provides the framework for evaluating the evidence base for future digital measures of behaviors considered for early disease detection.
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Longhurst JK, Rider JV, Cummings JL, John SE, Poston B, Landers MR. Cognitive-motor dual-task interference in Alzheimer's disease, Parkinson's disease, and prodromal neurodegeneration: A scoping review. Gait Posture 2023; 105:58-74. [PMID: 37487365 DOI: 10.1016/j.gaitpost.2023.07.277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Revised: 12/20/2022] [Accepted: 07/13/2023] [Indexed: 07/26/2023]
Abstract
BACKGROUND Cognitive-motor interference (CMI) is a common deficit in Alzheimer's (AD) disease and Parkinson's disease (PD) and may have utility in identification of prodromal neurodegeneration. There is lack of consensus regarding measurement of CMI resulting from dual task paradigms. RESEARCH QUESTION How are individuals with AD, PD, and prodromal neurodegeneration impacted by CMI as measured by dual-task (DT) performance? METHODS A systematic literature search was performed in six datasets using the PRISMA guidelines. Studies were included if they had samples of participants with AD, PD, or prodromal neurodegeneration and reported at least one measure of cognitive-motor DT performance. RESULTS 4741 articles were screened and 95 included as part of this scoping review. Articles were divided into three non-mutually exclusive groups based on diagnoses, with 26 articles in AD, 56 articles in PD, and 29 articles in prodromal neurodegeneration, and results presented accordingly. SIGNIFICANCE Individuals with AD and PD are both impacted by CMI, though the impact is likely different for each disease. We found a robust body of evidence regarding the utility of measures of DT performance in the detection of subtle deficits in prodromal AD and some signals of utility in prodromal PD. There are several key methodological challenges related to DT paradigms for the measurement of CMI in neurodegeneration. Overall, DT paradigms show good potential as a clinical method to probe specific brain regions, networks, and function; however, task selection and effect measurement should be carefully considered.
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Affiliation(s)
- Jason K Longhurst
- Department of Physical Therapy and Athletic Training, Saint Louis University, 3437 Caroline St. Suite, 1011 St. Louis, MO, USA.
| | - John V Rider
- School of Occupational Therapy, Touro University Nevada, Henderson, NV, USA; Department of Physical Therapy, University of Nevada, Las Vegas, NV, USA.
| | | | - Samantha E John
- Department of Brain Health, University of Nevada, Las Vegas, NV, USA.
| | - Brach Poston
- Department of Kinesiology and Nutrition, University of Nevada, Las Vegas, NV, USA.
| | - Merrill R Landers
- Department of Physical Therapy, University of Nevada, Las Vegas, NV, USA.
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Tangen GG, Sverdrup K, Taraldsen K, Persson K, Engedal K, Bekkhus-Wetterberg P, Knapskog AB. Mobility and associations with levels of cerebrospinal fluid amyloid β and tau in a memory clinic cohort. Front Aging Neurosci 2023; 15:1101306. [PMID: 36820757 PMCID: PMC9939466 DOI: 10.3389/fnagi.2023.1101306] [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: 11/17/2022] [Accepted: 01/19/2023] [Indexed: 02/08/2023] Open
Abstract
Background Mobility impairments, in terms of gait and balance, are common in persons with dementia. To explore this relationship further, we examined the associations between mobility and cerebrospinal fluid (CSF) core biomarkers for Alzheimer's disease (AD). Methods In this cross-sectional study, we included 64 participants [two with subjective cognitive decline (SCD), 13 with mild cognitive impairment (MCI) and 49 with dementia] from a memory clinic. Mobility was examined using gait speed, Mini-Balance Evaluation Systems test (Mini-BESTest), Timed Up and Go (TUG), and TUG dual-task cost (TUG DTC). The CSF biomarkers included were amyloid-β 42 (Aβ42), total-tau (t-tau), and phospho tau (p-tau181). Associations between mobility and biomarkers were analyzed through correlations and multiple linear regression analyses adjusted for (1) age, sex, and comorbidity, and (2) SCD/MCI vs. dementia. Results Aβ42 was significantly correlated with each of the mobility outcomes. In the adjusted multiple regression analyses, Aβ42 was significantly associated with Mini-BESTest and TUG in the fully adjusted model and with TUG DTC in step 1 of the adjusted model (adjusting for age, sex, and comorbidity). T-tau was only associated with TUG DTC in step 1 of the adjusted model. P-tau181 was not associated with any of the mobility outcomes in any of the analyses. Conclusion Better performance on mobility outcomes were associated with higher levels of CSF Aβ42. The association was strongest between Aβ42 and Mini-BESTest, suggesting that dynamic balance might be closely related with AD-specific pathology.
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Affiliation(s)
- Gro Gujord Tangen
- The Norwegian National Centre for Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway,Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway,*Correspondence: Gro Gujord Tangen,
| | - Karen Sverdrup
- The Norwegian National Centre for Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway,Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway
| | - Kristin Taraldsen
- Department of Rehabilitation Science and Health Technology, Oslo Metropolitan University, Oslo, Norway
| | - Karin Persson
- The Norwegian National Centre for Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway,Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway
| | - Knut Engedal
- The Norwegian National Centre for Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway,Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway
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Lindh-Rengifo M, Jonasson SB, Ullén S, Palmqvist S, van Westen D, Stomrud E, Mattsson-Carlgren N, Nilsson MH, Hansson O. Effects of Brain Pathologies on Spatiotemporal Gait Parameters in Patients with Mild Cognitive Impairment. J Alzheimers Dis 2023; 96:161-171. [PMID: 37742636 PMCID: PMC10657715 DOI: 10.3233/jad-221303] [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] [Accepted: 08/14/2023] [Indexed: 09/26/2023]
Abstract
BACKGROUND Impaired gait can precede dementia. The associations between gait parameters and brain pathologies are therefore of interest. OBJECTIVE To explore how different brain pathologies (i.e., vascular and Alzheimer's) are associated with specific gait parameters from various gait components in persons with mild cognitive impairment (MCI), who have an increased risk of developing dementia. METHODS This cross-sectional study included 96 patients with MCI (mean 72, ±7.5 years; 52% women). Gait was evaluated by using an electronic walkway, GAITRite®. Four gait parameters (step velocity variability; step length; step time; stance time asymmetry) were used as dependent variables in multivariable linear regression analyses. Independent variables included Alzheimer's disease pathologies (amyloid-β and tau) by using PET imaging and white matter hyperintensities (WMH) by using MRI. Covariates included age, sex, comorbidities (and intracranial volume in analyses that includedWMH). RESULTS Increased tau-PET (Braak I-IV region of interest [ROI]) was associated with step velocity variability (standardized regression coefficient, β= 0.383, p < 0.001) and step length (β= 0.336, p < 0.001), which remained significant when using different Braak ROIs (I-II, III-IV, V-VI). The associations remained significant when adjusting for WMH (p < 0.001). When also controlling for gait speed, tau was no longer significantly (p = 0.168) associated with an increased step length. No significant associations between gait and Aβ-PET load or WMH were identified. CONCLUSIONS The results indicate that one should pay specific attention to assess step velocity variability when targeting single task gait in patients with MCI. Future studies should address additional gait variability measures and dual tasking in larger cohorts.
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Affiliation(s)
- Magnus Lindh-Rengifo
- Department of Health Sciences, Faculty of Medicine, Lund University, Lund, Sweden
| | | | - Susann Ullén
- Clinical Studies Sweden – Forum South, Skåne University Hospital, Lund, Sweden
| | - Sebastian Palmqvist
- Memory Clinic, Skåne University Hospital, Malmö, Sweden
- Department of Clinical Sciences Malmö, Clinical Memory Research Unit, Lund University, Lund, Sweden
| | - Danielle van Westen
- Diagnostic Radiology, Clinical Sciences Lund, Lund University, Lund, Sweden
- Image and Function, Skåne University Hospital, Lund, Sweden
| | - Erik Stomrud
- Memory Clinic, Skåne University Hospital, Malmö, Sweden
- Department of Clinical Sciences Malmö, Clinical Memory Research Unit, Lund University, Lund, Sweden
| | - Niklas Mattsson-Carlgren
- Department of Clinical Sciences Malmö, Clinical Memory Research Unit, Lund University, Lund, Sweden
- Department of Neurology, Skåne University Hospital, Lund, Sweden
- Wallenberg Centre for Molecular Medicine, Lund University, Lund, Sweden
| | - Maria H. Nilsson
- Department of Health Sciences, Faculty of Medicine, Lund University, Lund, Sweden
- Memory Clinic, Skåne University Hospital, Malmö, Sweden
- Department of Clinical Sciences Malmö, Clinical Memory Research Unit, Lund University, Lund, Sweden
| | - Oskar Hansson
- Memory Clinic, Skåne University Hospital, Malmö, Sweden
- Department of Clinical Sciences Malmö, Clinical Memory Research Unit, Lund University, Lund, Sweden
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Wisniewski T, Masurkar AV. Gait dysfunction in Alzheimer disease. HANDBOOK OF CLINICAL NEUROLOGY 2023; 196:267-274. [PMID: 37620073 DOI: 10.1016/b978-0-323-98817-9.00013-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/26/2023]
Abstract
Alzheimer's disease (AD) is the most common cause of age-associated dementia and will exponentially rise in prevalence in the coming decades, supporting the parallel development of the early stage detection and disease-modifying strategies. While primarily considered as a cognitive disorder, AD also features motor symptoms, primarily gait dysfunction. Such gait abnormalities can be phenotyped across classic clinical syndromes as well as by quantitative kinematic assessments to address subtle dysfunction at preclinical and prodromal stages. As such, certain measures of gait can predict the future cognitive and functional decline. Moreover, cross-sectional and longitudinal studies have associated gait abnormalities with imaging, biofluid, and genetic markers of AD across all stages. This suggests that gait assessment is an important tool in the clinical assessment of patients across the AD spectrum, especially to help identify at-risk individuals.
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Affiliation(s)
- Thomas Wisniewski
- Department of Neurology, NYU School of Medicine, New York, NY, United States; Department of Pathology, NYU School of Medicine, New York, NY, United States; Department of Psychiatry, NYU School of Medicine, New York, NY, United States; Division of Cognitive Neurology, Center for Cognitive Neurology, NYU School of Medicine, New York, NY, United States.
| | - Arjun V Masurkar
- Department of Neurology, NYU School of Medicine, New York, NY, United States; Division of Cognitive Neurology, Center for Cognitive Neurology, NYU School of Medicine, New York, NY, United States
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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: 8] [Impact Index Per Article: 4.0] [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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Lindh-Rengifo M, Jonasson SB, Ullén S, Stomrud E, Palmqvist S, Mattsson-Carlgren N, Hansson O, Nilsson MH. Components of gait in people with and without mild cognitive impairment. Gait Posture 2022; 93:83-89. [PMID: 35101749 DOI: 10.1016/j.gaitpost.2022.01.012] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Revised: 01/05/2022] [Accepted: 01/14/2022] [Indexed: 02/02/2023]
Abstract
BACKGROUND Several objective gait parameters are associated with cognitive impairment, but there is limited knowledge of gait models in people with mild cognitive impairment (MCI). RESEARCH QUESTION How can 18 objective gait characteristics be used to define different components of gait in people with MCI (with suspected incipient neurocognitive disorder) and cognitively unimpaired people (CU), respectively? METHODS Spatiotemporal gait data were collected by using an electronic walkway (GAITRite®), i.e. assessments in comfortable gait speed. Using cross-sectional gait data, two principal component analyses (PCA) were performed (varimax rotation) to define different components of gait in people with MCI (n = 114) and CU (n = 219), respectively, from the BioFINDER-2 study. RESULTS Both PCAs produced four components, here called Variability, Pace/Stability, Rhythm and Asymmetry. Total variance explained was 81.0% (MCI) versus 80.3% (CU). The Variability component explained the largest amount of variance (about 25%) in both groups. The highest loading gait parameter was the same for both groups in three out of four components, i.e. step velocity variability (Variability), mean step length (Pace/Stability) and mean step time (Rhythm). In the asymmetry component, stance time asymmetry (MCI) and swing time asymmetry (CU) loaded the highest. SIGNIFICANCE The gait components seem similar in people with and without MCI, although there were some differences. This study may aid the identification of gait variables that represent different components of gait. Gait parameters such as step velocity variability, mean step length, mean step time as well as swing and stance time asymmetry could serve as interesting core variables of different gait components in future research in people with MCI (with suspected incipient neurocognitive disorder) and CU. However, the selection of gait variables depends on the purpose. It needs to be noted that assessment of variability measures requires more advanced technology than is usually used in the clinic.
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Affiliation(s)
- Magnus Lindh-Rengifo
- Department of Health Sciences, Faculty of Medicine, Lund University, Lund, Sweden.
| | | | - Susann Ullén
- Clinical Studies Sweden - Forum South, Skåne University Hospital, Lund, Sweden
| | - Erik Stomrud
- Memory Clinic, Skåne University Hospital, Malmö, Sweden; Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
| | - Sebastian Palmqvist
- Memory Clinic, Skåne University Hospital, Malmö, Sweden; Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
| | - Niklas Mattsson-Carlgren
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden; Department of Neurology, Skåne University Hospital, Lund, Sweden; Wallenberg Centre for Molecular Medicine, Lund University, Lund, Sweden
| | - Oskar Hansson
- Memory Clinic, Skåne University Hospital, Malmö, Sweden; Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
| | - Maria H Nilsson
- Department of Health Sciences, Faculty of Medicine, Lund University, Lund, Sweden; Memory Clinic, Skåne University Hospital, Malmö, Sweden; Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
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Guan DX, Chen HY, Camicioli R, Montero-Odasso M, Smith EE, Ismail Z. Dual-task gait and mild behavioral impairment: The Interface between non-cognitive dementia markers. Exp Gerontol 2022; 162:111743. [PMID: 35182610 DOI: 10.1016/j.exger.2022.111743] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2021] [Revised: 02/04/2022] [Accepted: 02/11/2022] [Indexed: 11/17/2022]
Abstract
BACKGROUND Mild behavioral impairment (MBI) and dual-task gait cost (DTGC) are two non-cognitive markers of dementia that capture behavioral and motor symptoms. We investigated the relationship between MBI and DTGC in a sample of non-demented older adults. METHODS This was a cross-sectional observational study of 193 participants (10 cognitively normal, 48 subjective cognitive decline (SCD), 135 mild cognitive impairment (MCI); 52.8% female) from 13 Canadian sites from the Comprehensive Assessment of Neurodegeneration and Dementia (COMPASS-ND) study. The Neuropsychiatric Inventory Questionnaire (NPI-Q) was used to define MBI severity using a published algorithm. DTGC, the percentage difference between dual-task and preferred walking speeds, was assessed under three cognitive tasks: animal naming, counting backwards, and serial seven subtractions. Associations were tested in the entire cohort and in the MCI subgroup using multivariable linear regression adjusted for age, sex, education, and diagnosis. The role of global cognition, executive function, verbal and working memory in the association were investigated using tests of mediation and moderation. RESULTS MBI symptoms were present in 46.6% of participants (mean age = 72.4 years). Greater overall MBI burden was associated with lower gait speed across all conditions. Furthermore, a one-point increase in global MBI symptom severity was associated with a 0.8% increase in DTGC in the animal fluency condition, a 0.9% increase in the counting backwards condition and a 1.1% increase in the serial sevens condition. These associations were strongest in the subgroup of MCI participants. Executive function but not global cognition or verbal and working memory mediated the association between MBI and DTGC in all three conditions. CONCLUSIONS MBI is associated with gait speed and DTGC in this group of non-demented individuals, independent of the presence or absence of MCI. These findings provide evidence of the relationship between these non-cognitive dementia markers of behavior and gait beyond cognitive impairment.
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Affiliation(s)
| | | | | | - Manuel Montero-Odasso
- Schulich School of Medicine& Dentistry, Division of Geriatric Medicine, Western University, London, ON, Canada
| | - Eric E Smith
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Zahinoor Ismail
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada.
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Kim H, Fraser S. Neural correlates of dual-task walking in people with central neurological disorders: a systematic review. J Neurol 2022; 269:2378-2402. [PMID: 34989867 DOI: 10.1007/s00415-021-10944-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Revised: 12/21/2021] [Accepted: 12/22/2021] [Indexed: 12/29/2022]
Abstract
BACKGROUND People with central neurological disorders experience difficulties with dual-task walking due to disease-related impairments. The objective of this review was to provide a comprehensive examination of the neural correlates (structural/functional brain changes) of dual-task walking in people with Parkinson's disease (PD), multiple sclerosis (MS), stroke, and Alzheimer's disease (AD). METHODS A systematic review of the literature was conducted, following PRISMA guidelines, on Medline, Embase, and Scopus. Included studies examined the relationship between structural and functional brain imaging and dual-task walking performance in people with PD, MS, stroke, and AD. Articles that met the inclusion criteria had baseline characteristics, study design, and behavioral and brain outcomes extracted. Twenty-three studies were included in this review. RESULTS Most structural imaging studies (75%) found an association between decreased brain integrity and poor dual-task performance. Specific brain regions that showed this association include the striatum regions and hippocampus in PD and supplementary motor area in MS. Functional imaging studies reported an association between increased prefrontal activity and maintained (compensatory recruitment) or decreased dual-task walking performance in PD and stroke. A subset (n = 2) of the stroke papers found no significant correlations. Increased supplementary motor area activity was associated with decreased performance in MS and stroke. No studies on AD were identified. CONCLUSION In people with PD, MS, and stroke, several neural correlates of dual-task walking have been identified, however, the direction of the association between neural and performance outcomes varied across the studies. The type of cognitive task used and presentation modality (e.g., visual) may have contributed to these mixed findings.
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Affiliation(s)
- Hyejun Kim
- School of Human Kinetics, Faculty of Health Sciences, University of Ottawa, 125 University Private, Ottawa, ON, K1N 6N5, Canada
| | - Sarah Fraser
- Interdisciplinary School of Health Sciences, Faculty of Health Sciences, University of Ottawa, 25 University Private, Ottawa, ON, K1N 7K4, Canada.
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