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Independently together: subthalamic theta and beta opposite roles in predicting Parkinson’s tremor
- Source :
- Brain Communications
- Publication Year :
- 2020
- Publisher :
- Oxford University Press (OUP), 2020.
-
Abstract
- Tremor is a core feature of Parkinson’s disease and the most easily recognized Parkinsonian sign. Nonetheless, its pathophysiology remains poorly understood. Here, we show that multispectral spiking activity in the posterior-dorso-lateral oscillatory (motor) region of the subthalamic nucleus distinguishes resting tremor from the other Parkinsonian motor signs and strongly correlates with its severity. We evaluated microelectrode-spiking activity from the subthalamic dorsolateral oscillatory region of 70 Parkinson’s disease patients who underwent deep brain stimulation surgery (114 subthalamic nuclei, 166 electrode trajectories). We then investigated the relationship between patients’ clinical Unified Parkinson’s Disease Rating Scale score and their peak theta (4–7 Hz) and beta (13–30 Hz) powers. We found a positive correlation between resting tremor and theta activity (r = 0.41, P<br />We found Parkinson’s disease resting tremor to be strongly correlated with subthalamic theta–beta activity scale. Furthermore, theta–beta coactivity was found to be negatively correlated with this symptom. Thus, our results show that resting tremor worsens as subthalamic theta activity increases and beta decreases.<br />Graphical Abstract Graphical Abstract
- Subjects :
- 0301 basic medicine
medicine.medical_specialty
Deep brain stimulation
Parkinson's disease
Best fitting
Theta activity
medicine.medical_treatment
Correlation
03 medical and health sciences
0302 clinical medicine
Internal medicine
medicine
Resting tremor
theta oscillations
Beta (finance)
beta oscillations
subthalamic nucleus
AcademicSubjects/SCI01870
business.industry
General Engineering
medicine.disease
tremor
Subthalamic nucleus
030104 developmental biology
Parkinson’s disease
Cardiology
Original Article
AcademicSubjects/MED00310
business
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 26321297
- Volume :
- 2
- Database :
- OpenAIRE
- Journal :
- Brain Communications
- Accession number :
- edsair.doi.dedup.....6dab1a0c00a8969c81e1378452f4da63