Purpose: We employed imaginary tasks to investigate the neurophysiology of gait in patients with Parkinson's disease (PD) using functional magnetic resonance imaging (fMRI).
Methods: Cortical activation of gait-related imagery was explored in 13 PD patients, 13 age-matched controls (Old), and 14 young volunteers (Young) using fMRI. The tasks included gait initiation, stepping over an obstacle and gait termination using an event-related design. Subjects watched a video clip showing an actor walking and imagined the walking process.
Results: At gait initiation, no significant difference could be found between PD and the Old controls. Activation in the visual related areas in the Old subjects was increased compared to the Young subjects. While imagining stepping over obstacles, the right dorsal premotor area (PMd), precentral, right inferior parietal lobule, and bilateral precuneus were more activated in PD compared to the Old. An extensive network of bilateral SMA, PMd, posterior parietal lobe and visual association areas was activated in the Old versus the Young subjects. At gait termination, visual related areas were noted when PD was compared to the Old. In contrast, increased activation in bilateral pre-SMA, PMd, ventral premotor area, precentral, posterior parietal lobes and visual association areas were activated in the Old when compared to the Young.
Conclusions: Our study provides image based evidence for gait disturbance in PD patients and during normal aging. The compensatory cortical mechanism in the findings could be a background resource for further therapeutic interventions.
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http://dx.doi.org/10.1016/j.parkreldis.2012.02.004 | DOI Listing |
Heliyon
September 2024
Department of Biomedical Engineering, Korea University College of Medicine, Seoul, 02841, Republic of Korea.
Sci Rep
March 2022
Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, 16132, Genoa, Italy.
The aim of this study was to investigate differences between usual and complex gait motor imagery (MI) task in healthy subjects using high-density electroencephalography (hdEEG) with a MI protocol. We characterized the spatial distribution of α- and β-bands oscillations extracted from hdEEG signals recorded during MI of usual walking (UW) and walking by avoiding an obstacle (Dual-Task, DT). We applied a source localization algorithm to brain regions selected from a large cortical-subcortical network, and then we analyzed α and β bands Event-Related Desynchronizations (ERDs).
View Article and Find Full Text PDFFront Aging Neurosci
September 2021
Division of Parkinson's Disease and Movement Disorders, Department of Neurology, China Medical University Hospital, Taichung, Taiwan.
Freezing of gait (FOG) in Parkinson's disease (PD) is a devastating clinical phenomenon that has a detrimental impact on patients. It tends to be triggered more often during turning (complex) than during forwarding straight (simple) walking. The neural mechanism underlying this phenomenon remains unclear and requires further elucidation.
View Article and Find Full Text PDFJ Neural Eng
July 2021
Department of Life Sciences, Graduate School of Arts and Sciences, The University of Tokyo, Tokyo 153-8902, Japan.
. Brain decoding of motor imagery (MI) not only is crucial for the control of neuroprosthesis but also provides insights into the underlying neural mechanisms. Walking consists of stance and swing phases, which are associated with different biomechanical and neural control features.
View Article and Find Full Text PDFJ Gerontol A Biol Sci Med Sci
August 2021
Research Team for Social Participation and Community Health, Tokyo Metropolitan Institute of Gerontology, Japan.
Background: Older adults at risk of falling or who have fear of falling (FoF) present a discrepancy between "imagined" and "performed" actions. Using the gait-related motor imagery paradigm, we investigated whether prediction accuracy in motor execution is associated with the onset of FoF and with prospective falls among older adults with FoF.
Methods: A cohort of 184 community-dwelling older adults was tested for imaginary and executed Timed Up and Go (TUG) tests at a fast pace at baseline.
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