Suppression of Parkinsonian Beta Oscillations by Deep Brain Stimulation: Determination of Effective Protocols

Müller, Eli J.; Robinson, P. A.

doi:10.3389/fncom.2018.00098

Cited by 25 publications

(22 citation statements)

References 91 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Stimulation in that direction may suppress beta activity as has been shown with omnidirectional leads (Kühn et al, 2008) and segmented leads (Bour et al, 2015). This in turn may release information flow in the motor network as demonstrated in computational simulations (Humphries et al, 2018;Müller and Robinson, 2018) and thus improve motor symptoms.…”

Section: Discussionmentioning

confidence: 81%

Directional Local Field Potentials in the Subthalamic Nucleus During Deep Brain Implantation of Parkinson’s Disease Patients

Nguyen

Schüpbach

Mercanzini

et al. 2020

Front. Hum. Neurosci.

View full text Add to dashboard Cite

Segmented deep brain stimulation leads feature directional electrodes that allow for a finer spatial control of electrical stimulation compared to traditional ring-shaped electrodes. These segmented leads have demonstrated enlarged therapeutic windows and have thus the potential to improve the treatment of Parkinson's disease patients. Moreover, they provide a unique opportunity to record directional local field potentials. Here, we investigated whether directional local field potentials can help identify the best stimulation direction to assist device programming. Four Parkinson's disease patients underwent routine implantation of the subthalamic nucleus. Firstly, local field potentials were recorded in three directions for two conditions: In one condition, the patient was at rest; in the other condition, the patient's arm was moved. Secondly, current thresholds for therapeutic and side effects were identified intraoperatively for directional stimulation. Therapeutic windows were calculated from these two thresholds. Thirdly, the spectral power of the total beta band (13-35 Hz) and its sub-bands low, high, and peak beta were analyzed post hoc. Fourthly, the spectral power was used by different algorithms to predict the ranking of directions. The spectral power profiles were patient-specific, and spectral peaks were found both in the low beta band (13-20 Hz) and in the high beta band (20.5-35 Hz). The direction with the highest spectral power in the total beta band was most indicative of the 1 st best direction when defined by therapeutic window. Based on the total beta band, the resting condition and the moving condition were similarly predictive about the direction ranking and classified 83.3% of directions correctly. However, different algorithms were needed to predict the ranking defined by therapeutic window or therapeutic current threshold. Directional local field potentials may help predict the best stimulation direction. Further studies with larger sample sizes are needed to better distinguish the informative value of different conditions and the beta sub-bands.

show abstract

Section: Discussionmentioning

confidence: 81%

Directional Local Field Potentials in the Subthalamic Nucleus During Deep Brain Implantation of Parkinson’s Disease Patients

Nguyen

Schüpbach

Mercanzini

et al. 2020

Front. Hum. Neurosci.

View full text Add to dashboard Cite

show abstract

“…We were interested to determine how the change to beta-band activity from the tremor band could be achieved in the network, particularly given a recent study which postulates that tremor band oscillations are a by-product of suppression of beta-band oscillations (Müller and Robinson, 2018). We found that one route to achieving this switch was by decreasing the cortical drive to the thalamus and increasing the cerebellar drive to the thalamus.…”

Section: Discussionmentioning

confidence: 99%

“…Interestingly, recent work has shown that tremor band oscillations emerge in a model oscillating in the beta band when the GPe to STN and cortex to STN coupling strengths were reduced (Müller and Robinson, 2018). The STN and GPe network has been previously studied extensively, by ourselves (Merrison-Hort et al, 2013) and others (Gillies et al, 2002;Terman et al, 2002), with the hypothesis that it is critical for Parkinsonian oscillations.…”

Section: Discussionmentioning

confidence: 99%

A Population Model of Deep Brain Stimulation in Movement Disorders From Circuits to Cells

Yousif

Bain

Nandi

et al. 2020

Front. Hum. Neurosci.

View full text Add to dashboard Cite

For more than 30 years, deep brain stimulation (DBS) has been used to target the symptoms of a number of neurological disorders and in particular movement disorders such as Parkinson's disease (PD) and essential tremor (ET). It is known that the loss of dopaminergic neurons in the substantia nigra leads to PD, while the exact impact of this on the brain dynamics is not fully understood, the presence of beta-band oscillatory activity is thought to be pathological. The cause of ET, however, remains uncertain, however pathological oscillations in the thalamocortical-cerebellar network have been linked to tremor. Both of these movement disorders are treated with DBS, which entails the surgical implantation of electrodes into a patient's brain. While DBS leads to an improvement in symptoms for many patients, the mechanisms underlying this improvement is not clearly understood, and computational modeling has been used extensively to improve this. Many of the models used to study DBS and its effect on the human brain have mainly utilized single neuron and single axon biophysical models. We have previously shown in separate models however, that the use of population models can shed much light on the mechanisms of the underlying pathological neural activity in PD and ET in turn, and on the mechanisms underlying DBS. Together, this work suggested that the dynamics of the cerebellar-basal ganglia thalamocortical network support oscillations at frequency range relevant to movement disorders. Here, we propose a new combined model of this network and present new results that demonstrate that both Parkinsonian oscillations in the beta band and oscillations in the tremor frequency range arise from the dynamics of such a network. We find regions in the parameter space demonstrating the different dynamics and go on to examine the transition from one oscillatory regime to another as well as the impact of DBS on these different types of pathological activity. This work will allow us to better understand the changes in brain activity induced by DBS, and allow us to optimize this clinical therapy, particularly in terms of target selection and parameter setting.

show abstract

“…Embora tenha sido proposto que DBS funciona interrompendo as oscilações patológicas 25 , estudos falharam em demonstrar essa resposta 26 .…”

Section: Modulação Das Oscilações Por Estimulador Cerebral Profundo (Dbs) Na Doença De Parkinsonunclassified

Doença de Parkinson: uma perspectiva neurofisiológica

Uchida¹,

Bakerolov²,

Scorza³

2021

Rev Neurocienc

View full text Add to dashboard Cite

A doença de Parkinson (DP) é uma condição neurodegenerativa muito prevalente na população idosa, e o diagnóstico é essencialmente clínico, com a melhora dos sintomas motores pela reposição de levodopa. Embora a alteração do funcionamento da alça córtex-núcleos da base (NB) causada pela depleção de dopamina seja o principal mecanismo fisiopatogênico, tanto a fisiologia normal quanto as alterações que ocorrem na DP nestas estruturas ainda não foram totalmente esclarecidas. A estimulação cerebral profunda (deep brain stimulation, DBS) nos NB como modalidade de tratamento alternativa tem ampliado as possibilidades de estudo neurofisiológico da atividade neural, que em associação com os avanços tecnológicos na obtenção, processamento e integração dos sinais córtico-subcorticais, pode trazer novos entendimentos quanto à fisiopatogênese da DP, e inovações terapêuticas.

show abstract

Suppression of Parkinsonian Beta Oscillations by Deep Brain Stimulation: Determination of Effective Protocols

Cited by 25 publications

References 91 publications

Directional Local Field Potentials in the Subthalamic Nucleus During Deep Brain Implantation of Parkinson’s Disease Patients

Directional Local Field Potentials in the Subthalamic Nucleus During Deep Brain Implantation of Parkinson’s Disease Patients

A Population Model of Deep Brain Stimulation in Movement Disorders From Circuits to Cells

Doença de Parkinson: uma perspectiva neurofisiológica

Contact Info

Product

Resources

About