دورية أكاديمية
Frequency-specific network activity predicts bradykinesia severity in Parkinson’s disease
| العنوان: | Frequency-specific network activity predicts bradykinesia severity in Parkinson’s disease |
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| المؤلفون: | Muthuraman Muthuraman, Marcell Palotai, Borbála Jávor-Duray, Andrea Kelemen, Nabin Koirala, László Halász, Loránd Erőss, Gábor Fekete, László Bognár, Günther Deuschl, Gertrúd Tamás |
| المصدر: | NeuroImage: Clinical, Vol 32, Iss , Pp 102857- (2021) |
| بيانات النشر: | Elsevier |
| سنة النشر: | 2021 |
| المجموعة: | Directory of Open Access Journals: DOAJ Articles |
| مصطلحات موضوعية: | Beta oscillation, Gamma oscillation, Bradykinesia, Parkinson disease, Deep brain stimulation, Computer applications to medicine. Medical informatics, R858-859.7, Neurology. Diseases of the nervous system, RC346-429 |
| الوصف: | Objective: Bradykinesia has been associated with beta and gamma band interactions in the basal ganglia-thalamo-cortical circuit in Parkinson’s disease. In this present cross-sectional study, we aimed to search for neural networks with electroencephalography whose frequency-specific actions may predict bradykinesia. Methods: Twenty Parkinsonian patients treated with bilateral subthalamic stimulation were first prescreened while we selected four levels of contralateral stimulation (0: OFF, 1–3: decreasing symptoms to ON state) individually, based on kinematics. In the screening period, we performed 64-channel electroencephalography measurements simultaneously with electromyography and motion detection during a resting state, finger tapping, hand grasping tasks, and pronation-supination of the arm, with the four levels of contralateral stimulation. We analyzed spectral power at the low (13–20 Hz) and high (21–30 Hz) beta frequency bands and low (31–60 Hz) and high (61–100 Hz) gamma frequency bands using the dynamic imaging of coherent sources. Structural equation modelling estimated causal relationships between the slope of changes in network beta and gamma activities and the slope of changes in bradykinesia measures. Results: Activity in different subnetworks, including predominantly the primary motor and premotor cortex, the subthalamic nucleus predicted the slopes in amplitude and speed while switching between stimulation levels. These subnetwork dynamics on their preferred frequencies predicted distinct types and parameters of the movement only on the contralateral side. Discussion: Concurrent subnetworks affected in bradykinesia and their activity changes in the different frequency bands are specific to the type and parameters of the movement; and the primary motor and premotor cortex are common nodes. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| تدمد: | 2213-1582 |
| العلاقة: | http://www.sciencedirect.com/science/article/pii/S2213158221003016Test; https://doaj.org/toc/2213-1582Test; https://doaj.org/article/85ecefc3448445ea98dec7c80a90232bTest |
| DOI: | 10.1016/j.nicl.2021.102857 |
| الإتاحة: | https://doi.org/10.1016/j.nicl.2021.102857Test https://doaj.org/article/85ecefc3448445ea98dec7c80a90232bTest |
| رقم الانضمام: | edsbas.999A83FF |
| قاعدة البيانات: | BASE |
Full Text Finder | تدمد: | 22131582 |
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| DOI: | 10.1016/j.nicl.2021.102857 |