Background: The ability to make step adjustments while walking is often impaired following a stroke, but the basic sensorimotor control deficits responsible have not been established.
Objective: To identify these deficits in Patients who have recovered from stroke leaving only mild lower limb impairment.
Methods: Ten stroke and 10 age-matched control patients stepped onto an illuminated rectangle. In 40% of trials it jumped 140 mm either medially or laterally when the stepping foot left the ground, thus provoking a mid-step adjustment. In a separate block, patients performed the same task but with the body supported by a frame to eliminate balance responses.
Results: Irrespective of support condition stroke patients produced short-latency foot trajectory adjustments compatible with a fast-acting, possibly subcortical, visuomotor process. However, the latency was slightly but significantly longer for the contralesional leg (148 ms) than the ipsilesional leg (141 ms) and longer than for controls (129 ms). Stroke patients' foot adjustments were executed slower and undershot the target more than controls. These deficits were most pronounced in the medial direction when the body was unsupported. The pattern of undershooting was the same for ipsilesional and contralesional legs.
Conclusions: Mildly impaired stroke patients have deficits in initiating and executing visually triggered step adjustments but more profound difficulties with balance control during the adjustment, which caused them to suppress mid-step adjustments of foot placement in the medial direction where balance demands were greatest. Paradoxically, such suppression outside the laboratory may also threaten balance if it leads to unsafe foot placement or obstacle collision.
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http://dx.doi.org/10.1177/1545968309348317 | DOI Listing |
Commun Psychol
January 2025
Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA.
How do people model the world's dynamics to guide mental simulation and evaluate choices? One prominent approach, the Successor Representation (SR), takes advantage of temporal abstraction of future states: by aggregating trajectory predictions over multiple timesteps, the brain can avoid the costs of iterative, multi-step mental simulation. Human behavior broadly shows signatures of such temporal abstraction, but finer-grained characterization of individuals' strategies and their dynamic adjustment remains an open question. We developed a task to measure SR usage during dynamic, trial-by-trial learning.
View Article and Find Full Text PDFBMJ Open
January 2025
Institute for Population and Social Research, Mahidol University, Salaya, Putthamonthon, Nakhon Pathom, Thailand
Objective: To assess the prevalence of non-utilisation of postpartum services in northwestern Nigeria from 2003 to 2018 and to identify and estimate the influence of social determinants, a crucial step in improving maternal and child health in the region.
Design: The 2003, 2008, 2013 and 2018 Nigeria Demographic and Health Survey rounds were used. Descriptive, trend and multivariable logistic regression analyses were used to show the trend and assess the influence of social determinants.
PLoS One
January 2025
Vocational Training Center, FoShan Open University, FoShan, Guangdong Province, China.
Data classification is an important research direction in machine learning. In order to effectively handle extensive datasets, researchers have introduced diverse classification algorithms. Notably, Kernel Extreme Learning Machine (KELM), as a fast and effective classification method, has received widespread attention.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
University of Washington, Seattle, WA, USA.
Background: A multitude of high-quality imaging modalities exist that provide structural data at unprecedented levels of detail. Tissue ultrastructure greatly influences the rate of transport of proteins and other molecules that contribute to neurodegeneration. However, our ability to model flow and diffusion processes in the brain lags behind the quality of the neuroimaging data.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Institute of Geriatrics and Active Ageing, Tan Tock Seng Hospital, Singapore, Singapore.
Background: Intrinsic capacity (IC) and frailty are inter-related yet distinct constructs which encapsulate functional capacities of older adults. There is uncertainty how IC is related to and interacts with the social (SF) and physical (PF) dimensions of frailty to influence cognition. We aim to examine IC, PF and SF profiles and compare the association between identified subtypes with change in cognition at 2 years METHODS: We studied 230 healthy community-dwelling older adults (age:67.
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