Characterizing neurocognitive impairments in Parkinson's disease with mobile EEG when walking and stepping over obstacles

被引:4
|
作者
Mustile, Magda [1 ,2 ,8 ]
Kourtis, Dimitrios [1 ]
Edwards, Martin G. [2 ]
Ladouce, Simon [3 ]
Volpe, Daniele [4 ]
Pilleri, Manuela [4 ]
Pelosin, Elisa [5 ]
Learmonth, Gemma [1 ,6 ]
Donaldson, David, I [7 ]
Ietswaart, Magdalena [1 ]
机构
[1] Univ Stirling, Fac Nat Sci, Psychol, Stirling FK9 4LA, England
[2] Catholic Univ Louvain, Psychol Sci Res Inst, B-1348 Louvain La Neuve, Belgium
[3] Katholieke Univ Leuven, Leuven Brain Inst, Dept Brain & Cognit, B-3000 Leuven, Belgium
[4] Villa Margherita, Fresco Parkinson Ctr, S Stefano Riabilitaz, I-36100 Vicenza, Italy
[5] IRCCS, Osped Policlin San Martino, I-16132 Genoa, Italy
[6] Univ Glasgow, Sch Psychol & Neurosci, Glasgow G12 8QQ, Scotland
[7] Univ St Andrews, Sch Psychol & Neurosci, St Andrews KY16 9AJ, Scotland
[8] Catholic Univ Louvain, Psychol Sci Res Inst, Pl Cardinal Mercier 10-L3 05-01, B-1348 Louvain La Nueve, Belgium
基金
英国惠康基金;
关键词
Parkinson's disease; obstacle avoidance; gait; cognitive control; brain oscillations; BETA-BAND OSCILLATIONS; FRONTAL-MIDLINE THETA; MINI-MENTAL-STATE; CORTICAL OSCILLATIONS; REPETITIVE MOVEMENT; GAIT DISORDERS; MOTOR IMAGERY; DESYNCHRONIZATION; ACTIVATION; PEOPLE;
D O I
10.1093/braincomms/fcad326
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
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. Mustile et al. report that Parkinson's disease patients showed impaired modulation of neural markers of proactive and reactive cognitive control while walking and stepping over obstacles. Using mobile EEG, the study revealed that Parkinson's patients have difficulty both in the approach and once past the obstacle. Graphical Abstract
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页数:16
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