ArticleBrain communications2023
Characterizing neurocognitive impairments in Parkinson's disease with mobile EEG when walking and stepping over obstacles.
Article in Brain communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 11 citations in OpenAlex.
- Effects of Optic Flow on Electrocortical Dynamics During Walking and Stepping Over Virtual Obstacles.The European journal of neuroscience · 2026Article
- Electroencephalography-Based Clustering Reveals Robust Neurophysiological Subtypes in Parkinson's Disease.Movement disorders : official journal of the Movement Disorder Society · 2026Article
- Preprocessing on the Go: Practices in Gait-Related Mobile EEG.Psychophysiology · 2026Review
- Scalable biomarkers of Parkinson's disease: insights from mobile EEG in Peru.Scientific reports · 2026Article
- A meta-analysis of periodic and aperiodic electrophysiological features in Parkinson's disease.Brain communications · 2026Review
- Contextual expectations in the real-world modulate low-frequency neural oscillations.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Brain Connectivity During Walking and Obstacle Avoidance in Persons With Multiple Sclerosis and Healthy Controls: A Pilot EEG Study.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2025Article
- Article
- Unraveling the threads of stability: A review of the neurophysiology of postural control in Parkinson's disease.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2024Review
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Authors and funding
10 authors at 5 institutions in 3 countries.
Funding
Abstract
The neural correlates that help us understand the challenges that Parkinson's patients face when negotiating their environment remain under-researched. This deficit in knowledge reflects the methodological constraints of traditional neuroimaging techniques, which include the need to remain still. As a result, much of our understanding of motor disorders is still based on animal models. Daily life challenges such as tripping and falling over obstacles represent one of the main causes of hospitalization for individuals with Parkinson's disease. Here, we report the neural correlates of naturalistic ambulatory obstacle avoidance in Parkinson's disease patients using mobile EEG. We examined 14 medicated patients with Parkinson's disease and 17 neurotypical control participants. Brain activity was recorded while participants walked freely, and while they walked and adjusted their gait to step over expected obstacles (preset adjustment) or unexpected obstacles (online adjustment) displayed on the floor. EEG analysis revealed attenuated cortical activity in Parkinson's patients compared to neurotypical participants in theta (4-7 Hz) and beta (13-35 Hz) frequency bands. The theta power increase when planning an online adjustment to step over unexpected obstacles was reduced in Parkinson's patients compared to neurotypical participants, indicating impaired proactive cognitive control of walking that updates the online action plan when unexpected changes occur in the environment. Impaired action planning processes were further evident in Parkinson's disease patients' diminished beta power suppression when preparing motor adaptation to step over obstacles, regardless of the expectation manipulation, compared to when walking freely. In addition, deficits in reactive control mechanisms in Parkinson's disease compared to neurotypical participants were evident from an attenuated beta rebound signal after crossing an obstacle. Reduced modulation in the theta frequency band in the resetting phase across conditions also suggests a deficit in the evaluation of action outcomes in Parkinson's disease. Taken together, the neural markers of cognitive control of walking observed in Parkinson's disease reveal a pervasive deficit of motor-cognitive control, involving impairments in the proactive and reactive strategies used to avoid obstacles while walking. As such, this study identified neural markers of the motor deficits in Parkinson's disease and revealed patients' difficulties in adapting movements both before and after avoiding obstacles in their path.
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