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Erschienen in: Neuropsychology Review 4/2015

01.12.2015 | Review

High Frequency Deep Brain Stimulation and Neural Rhythms in Parkinson’s Disease

verfasst von: Zack Blumenfeld, Helen Brontë-Stewart

Erschienen in: Neuropsychology Review | Ausgabe 4/2015

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Abstract

High frequency (HF) deep brain stimulation (DBS) is an established therapy for the treatment of Parkinson’s disease (PD). It effectively treats the cardinal motor signs of PD, including tremor, bradykinesia, and rigidity. The most common neural target is the subthalamic nucleus, located within the basal ganglia, the region most acutely affected by PD pathology. Using chronically-implanted DBS electrodes, researchers have been able to record underlying neural rhythms from several nodes in the PD network as well as perturb it using DBS to measure the ensuing neural and behavioral effects, both acutely and over time. In this review, we provide an overview of the PD neural network, focusing on the pathophysiological signals that have been recorded from PD patients as well as the mechanisms underlying the therapeutic benefits of HF DBS. We then discuss evidence for the relationship between specific neural oscillations and symptoms of PD, including the aberrant relationships potentially underlying functional connectivity in PD as well as the use of different frequencies of stimulation to more specifically target certain symptoms. Finally, we briefly describe several current areas of investigation and how the ability to record neural data in ecologically-valid settings may allow researchers to explore the relationship between brain and behavior in an unprecedented manner, culminating in the future automation of neurostimulation therapy for the treatment of a variety of neuropsychiatric diseases.
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Metadaten
Titel
High Frequency Deep Brain Stimulation and Neural Rhythms in Parkinson’s Disease
verfasst von
Zack Blumenfeld
Helen Brontë-Stewart
Publikationsdatum
01.12.2015
Verlag
Springer US
Erschienen in
Neuropsychology Review / Ausgabe 4/2015
Print ISSN: 1040-7308
Elektronische ISSN: 1573-6660
DOI
https://doi.org/10.1007/s11065-015-9308-7

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