Background: Persons with multiple sclerosis (MS) often demonstrate impaired walking performance, and neuroimaging methods such as resting state functional connectivity (RSFC) may support a link between central nervous system damage and disruptions in walking.
Objectives: This study examined associations between RSFC in cortical networks and walking performance in persons with MS.
Methods: 29 persons with MS underwent 3-T brain magnetic resonance imaging (MRI) and we computed RSFC among 68 Gy matter regions of interest in the brain. Participants completed the Timed 25-foot Walk as a measure of walking performance. We examined associations using partial Pearson product-moment correlation analyses (r), controlling for age.
Results: There were eight cortical brain regions that were significantly associated with the T25FW, including the left parahippocampal gyrus and transverse temporal gyrus, and the right fusiform gyrus, inferior temporal gyrus, lingual gyrus, pericalcarine cortex, superior temporal gyrus, and transverse temporal gyrus.
Conclusions: We provide novel evidence that RSFC can be a valuable tool to monitor the motor and non-motor networks impacted in MS that relate to declines in motor impairment. RSFC may identify critical nodes involved in a range of motor tasks such as walking that can be more sensitive to disruption by MS.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.neuropsychologia.2018.05.007 | DOI Listing |
Exp Brain Res
January 2025
Department of Rehabilitation Medicine, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, 510080, China.
Vestibular dysfunction has been reported as a potential cause in adolescent idiopathic scoliosis (AIS). However, it remained unclear how stochastic galvanic vestibular stimulation (GVS) affected kinetic performance of patients with AIS. This study aimed to investigate the effect of stochastic GVS on ground reaction forces (GRF) measures during obstacle negotiation among patients with AIS.
View Article and Find Full Text PDFSci Rep
January 2025
Center for Research of the Aging Workforce, University of Occupational and Environmental Health, Japan, Kitakyushu, Japan.
Improving physical balance among older workers is essential for preventing falls in workplace. We aimed to elucidate the age-related decline in one-leg standing time with eyes closed, an indicator of static balance, and mitigating influence of daily walking habits on this decline in Japan. This longitudinal study involved 249 manufacturing workers, including seven females, aged 20-66 years engaged in tasks performed at height in the aircraft and spacecraft machinery industry.
View Article and Find Full Text PDFPediatr Res
January 2025
Department of Physiology, University of Helsinki, Helsinki, Finland.
Background: To study how early gross motor development links to concurrent prelinguistic and social development.
Methods: We recruited a population-based longitudinal sample of 107 infants between 6 and 21 months of age. Gross motor performance was quantified using novel wearable technology for at-home recordings of infants' spontaneous activity.
Sci Rep
January 2025
School of Gerontology and Long-Term Care, Taipei Medical University, Taipei City 110, Taiwan (R.O.C.), Taipei, Taiwan.
To examine the dose-response relationship between specific types of exercise for improving walking velocity in Parkinson's disease (PD). This systematic review and network meta-analysis included searches of PubMed, Medline, Embase, PsycINFO, Cochrane Library, and Web of Science were searched from inception until February 18th, 2024. Data analysis was performed using R software with the MBNMA and RJAGS packages.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy.
The current gold standard for the study of human movement is the marker-based motion capture system that offers high precision but constrained by costs and controlled environments. Markerless pose estimation systems emerge as ecological alternatives, allowing unobtrusive data acquisition in natural settings. This study compares the performance of two popular markerless systems, OpenPose (OP) and DeepLabCut (DLC), in assessing locomotion.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!