Increased stride-to-stride variability during walking characterizes gait instability and predicts falling in older adults. Walking while performing cognitive tasks (dual task walking) is also associated with increased risk of falling. The purpose of the study was to examine whether gait velocity and stride-to-stride variability in gait velocity differ in older adults compared with middle-aged and younger adults during normal and dual task walking conditions. Sixty older (n=20, mean age=81 years), middle-aged (n=20, mean age=48 years), and young adults (n=20, mean age=25 years) participated in the study. Gait parameters were quantified with GAITRite instrumentation. In the dual task condition, participants spelled five-letter words in reverse while walking across the walkway. Across groups, gait velocity was slower (p<0.001) and stride-to-stride variability in gait velocity was greater (p=0.001) in dual task walking. Older subjects walked more slowly than did middle-aged and younger subjects and the difference in gait velocity was greatest in the dual task condition (p<0.05). Variability in stride velocity was increased in older subjects compared with middle-aged and younger subjects (p<0.05). Additionally, in older subjects, impaired walking performance was associated with impaired cognitive performance in dual task walking. The gait changes observed in dual task walking characterize decreased gait stability and indicate that cognitively demanding tasks during walking have a destabilizing effect on gait and may place older people at a greater risk of falling.
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http://dx.doi.org/10.1016/j.gaitpost.2006.08.005 | DOI Listing |
Brain Struct Funct
January 2025
Department of Medical Biophysics, Schulich School of Medicine & Dentistry, Western University, 1151 Richmond Street, North London, ON, N6A 5C1, Canada.
The dual task cost of gait (DTC) is an accessible and cost-effective test that can help identify individuals with cognitive decline and dementia. However, its neural substrate has not been widely described. This study aims to investigate the neural substrate of the high DTC in older adults across the spectrum of cognitive decline.
View Article and Find Full Text PDFNPJ Parkinsons Dis
January 2025
Brain Electrophysiology and Epilepsy Lab (BEE-L), Epilepsy and EEG Unit, Neurological Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.
We aimed to study the effect of Parkinson's disease (PD) and motor-cognitive load on the interplay between activation level and spatial complexity. To that end, 68 PD patients and 30 controls underwent electroencephalography (EEG) recording while executing visual single- and dual- Go/No-go tasks. The EEG underwent source localization, followed by parcellation of the neural activity into 116 regions of interest.
View Article and Find Full Text PDFIntroduction: Dual-task (DT) exercises combine both physical and cognitive activities and have the potential to efficiently enhance both physical and cognitive function.
Background/objectives: This study aimed to determine if, compared with exercise-only (EO) and control (C) groups, adults in a DT training program improved measures of cognitive and/or physical functioning.
Methods: Thirty-five participants (Mage = 65.
Cogn Emot
January 2025
Department of Psychology, Edge Hill University, Ormskirk, United Kingdom.
The present study investigated the influence of emotional stimuli in the flanker task. In six experiments, separate influences of anticipating and reacting to valence-laden stimuli (affective pictures or facial expressions) on the flanker effect and its sequential modulation (also known as conflict adaptation) were examined. The results showed that there was little evidence that emotional stimuli influenced cognitive control when positive and negative stimuli appeared randomly during the flanker task.
View Article and Find Full Text PDFPLoS One
January 2025
School of Mathematics and Statistics, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, China.
Optical Coherence Tomography (OCT) offers high-resolution images of the eye's fundus. This enables thorough analysis of retinal health by doctors, providing a solid basis for diagnosis and treatment. With the development of deep learning, deep learning-based methods are becoming more popular for fundus OCT image segmentation.
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