Stimulation of the subthalamic region at 20Hz slows the development of grip force in Parkinson's disease

Chen, Chiung Chu; Lin, Wey Yil; Chan, Hing‐Yuen; Hsu, Yi Ting; Tu, Po Hsun; Lee, Shih Tseng; Chiou, Shang Ming; Tsai, Chon Haw; Lu, Chin Song; Brown, Peter

doi:10.1016/j.expneurol.2011.05.018

Cited by 55 publications

(39 citation statements)

References 56 publications

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“…Deep brain stimulation (DBS) at 20 Hz (beta band) of the subthalamic nucleus (STN) synchronizes GP internus (GPi) at the same frequency, whereas high frequency (>70 Hz) STN DBS suppresses beta band GPi oscillations (Brown et al, 2004). In line with (in)direct modulation of these oscillations having a clinical effect, STN or Gpi high frequencies stimulation improves PD motor symptoms (Brown et al, 2004), while beta frequency stimulation of STN has an antikinetic effect in PD patients (Timmermann et al, 2004; Fogelson et al, 2005; Chen et al, 2011). Levodopa administration, which is effective in treating bradykinesia, decreases basal ganglia beta oscillation (Kühn et al, 2005, 2009; Weinberger et al, 2006; Ray et al, 2008; Zaidel et al, 2010).…”

Section: Spontaneous and Task-related Oscillatory Activitymentioning

confidence: 92%

Oscillatory Activities in Neurological Disorders of Elderly: Biomarkers to Target for Neuromodulation

Assenza

Capone

Biase

et al. 2017

Front. Aging Neurosci.

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Non-invasive brain stimulation (NIBS) has been under investigation as adjunct treatment of various neurological disorders with variable success. One challenge is the limited knowledge on what would be effective neuronal targets for an intervention, combined with limited knowledge on the neuronal mechanisms of NIBS. Motivated on the one hand by recent evidence that oscillatory activities in neural systems play a role in orchestrating brain functions and dysfunctions, in particular those of neurological disorders specific of elderly patients, and on the other hand that NIBS techniques may be used to interact with these brain oscillations in a controlled way, we here explore the potential of modulating brain oscillations as an effective strategy for clinical NIBS interventions. We first review the evidence for abnormal oscillatory profiles to be associated with a range of neurological disorders of elderly (e.g., Parkinson’s disease (PD), Alzheimer’s disease (AD), stroke, epilepsy), and for these signals of abnormal network activity to normalize with treatment, and/or to be predictive of disease progression or recovery. We then ask the question to what extent existing NIBS protocols have been tailored to interact with these oscillations and possibly associated dysfunctions. Our review shows that, despite evidence for both reliable neurophysiological markers of specific oscillatory dis-functionalities in neurological disorders and NIBS protocols potentially able to interact with them, there are few applications of NIBS aiming to explore clinical outcomes of this interaction. Our review article aims to point out oscillatory markers of neurological, which are also suitable targets for modification by NIBS, in order to facilitate in future studies the matching of technical application to clinical targets.

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Section: Spontaneous and Task-related Oscillatory Activitymentioning

confidence: 92%

Oscillatory Activities in Neurological Disorders of Elderly: Biomarkers to Target for Neuromodulation

Assenza

Capone

Biase

et al. 2017

Front. Aging Neurosci.

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“…Relatively strong stimulation of STN in patients or experimental animals at 20 Hz (i.e., without specific frequency tuning to elicit any resonance) leads to worsening of Parkinsonian signs apparently due to the increased synchronized beta activity (Fogelson et al, 2005; Chen et al, 2011; McConnell et al, 2012). Moreover, Eusebio et al (2008) observed that stimulation-induced motor impairments may depend on the precise frequencies of stimulation.…”

Section: Discussionmentioning

confidence: 99%

Synchronized Beta-Band Oscillations in a Model of the Globus Pallidus-Subthalamic Nucleus Network under External Input

Ahn

Zauber

Worth

et al. 2016

Front. Comput. Neurosci.

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Hypokinetic symptoms of Parkinson's disease are usually associated with excessively strong oscillations and synchrony in the beta frequency band. The origin of this synchronized oscillatory dynamics is being debated. Cortical circuits may be a critical source of excessive beta in Parkinson's disease. However, subthalamo-pallidal circuits were also suggested to be a substantial component in generation and/or maintenance of Parkinsonian beta activity. Here we study how the subthalamo-pallidal circuits interact with input signals in the beta frequency band, representing cortical input. We use conductance-based models of the subthalamo-pallidal network and two types of input signals: artificially-generated inputs and input signals obtained from recordings in Parkinsonian patients. The resulting model network dynamics is compared with the dynamics of the experimental recordings from patient's basal ganglia. Our results indicate that the subthalamo-pallidal model network exhibits multiple resonances in response to inputs in the beta band. For a relatively broad range of network parameters, there is always a certain input strength, which will induce patterns of synchrony similar to the experimentally observed ones. This ability of the subthalamo-pallidal network to exhibit realistic patterns of synchronous oscillatory activity under broad conditions may indicate that these basal ganglia circuits are directly involved in the expression of Parkinsonian synchronized beta oscillations. Thus, Parkinsonian synchronized beta oscillations may be promoted by the simultaneous action of both cortical (or some other) and subthalamo-pallidal network mechanisms. Hence, these mechanisms are not necessarily mutually exclusive.

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“…Macro-electrode stimulation of the STN at 20 Hz reduces the speed of movement during a finger tapping task [14] and slows force development in a grip task [15]. Exactly how synchronous β activity could have an anti-kinetic effect remains to be seen.…”

Section: Introductionmentioning

confidence: 99%

An Interactive Channel Model of the Basal Ganglia: Bifurcation Analysis Under Healthy and Parkinsonian Conditions

Merrison-Hort

Yousif

Njap

et al. 2013

The Journal of Mathematical Neuroscience

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Oscillations in the basal ganglia are an active area of research and have been shown to relate to the hypokinetic motor symptoms of Parkinson’s disease. We study oscillations in a multi-channel mean field model, where each channel consists of an interconnected pair of subthalamic nucleus and globus pallidus sub-populations.To study how the channels interact, we perform two-dimensional bifurcation analysis of a model of an individual channel, which reveals the critical boundaries in parameter space that separate different dynamical modes; these modes include steady-state, oscillatory, and bi-stable behaviour. Without self-excitation in the subthalamic nucleus a single channel cannot generate oscillations, yet there is little experimental evidence for such self-excitation. Our results show that the interactive channel model with coupling via pallidal sub-populations demonstrates robust oscillatory behaviour without subthalamic self-excitation, provided the coupling is sufficiently strong. We study the model under healthy and Parkinsonian conditions and demonstrate that it exhibits oscillations for a much wider range of parameters in the Parkinsonian case. In the discussion, we show how our results compare with experimental findings and discuss their possible physiological interpretation. For example, experiments have found that increased lateral coupling in the rat basal ganglia is correlated with oscillations under Parkinsonian conditions.

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Stimulation of the subthalamic region at 20Hz slows the development of grip force in Parkinson's disease

Cited by 55 publications

References 56 publications

Oscillatory Activities in Neurological Disorders of Elderly: Biomarkers to Target for Neuromodulation

Oscillatory Activities in Neurological Disorders of Elderly: Biomarkers to Target for Neuromodulation

Synchronized Beta-Band Oscillations in a Model of the Globus Pallidus-Subthalamic Nucleus Network under External Input

An Interactive Channel Model of the Basal Ganglia: Bifurcation Analysis Under Healthy and Parkinsonian Conditions

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