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临床试验/NCT05101161
NCT05101161招募中不适用

Neurofeedback Using Implanted Deep Brain Stimulation Electrodes

ETH Zurich2 个研究点 分布在 1 个国家目标入组 50 人开始时间: 2021年9月23日最近更新:
适应症
干预措施

试验速览

阶段
不适用
状态
招募中
发起方
入组人数
50
试验地点
2
主要终点
Amount of endogenous neuromodulation (difference in oscillatory power)

研究概览

简要总结

Deep brain stimulation (DBS) has become a gold-standard symptomatic treatment option for Parkinson's disease (PD) and is also explored for a variety of other neurological disorders. The implantation of electrodes into deep brain areas has not only enabled the application of electrical stimuli, but has also provided researchers and clinicians with an unprecedented window to investigate aberrant neuronal activity right at the core of pathological brain circuits. Local field potentials (LFP) have already been readily investigated through externalised DBS electrode wires prior to internalisation and connection to an implantable neurostimulator. In the case of PD, motor symptoms have been evidenced to correlate with exaggerated beta oscillatory activity (13-35 Hz) in the LFP recorded from the subthalamic nucleus (STN). Firstly, beta activity recorded in the STN at rest in patients withdrawn from their medication has been correlated with the Unified Parkinson's Disease Rating Scale (UPDRS) across patients. Secondly, a reduction of signal power in the beta-band was correlated with clinical improvements of motor symptoms. Thirdly, the two main therapeutic strategies, the administration of L-Dopa, and high-frequency DBS both lead to a suppression of beta-synchronicity in the STN. Furthermore, beta-oscillations show fast and movement-dependent modulation over time and can serve as a biomarker and feedback signal to control the delivery of DBS. The investigators recently implemented deep brain electrical neurofeedback to provide real-time visual neurofeedback of pathological STN oscillations through externalised DBS electrodes and showed that PD patients were able to volitionally control and reduce subthalamic activity within a single 1 hour session. Moreover, neurofeedback-learnt strategies accelerated movements and could be retained in the short- and mid-term. Only recently, a newly developed neurostimulator, the Percept™ PC (Medtronic Neurological Division, Minneapolis, MN, USA), has been clinically approved, which can not only apply electrical impulses, but also enable the measurement and transmission of brain activity. This neurostimulator is now the first choice for implantations at the University Hospital Zurich and is used for a variety of neurological disorders. The investigators' goal is to investigate whether neurofeedback through a fully implanted deep brain stimulation device is possible and can lead to a better control of pathological oscillations as well as symptom mitigation. Having shown that endogenous control over deep brain oscillations is possible, the investigators will also test this novel therapeutic approach for pathologies other than PD that are also treated with DBS. Neurofeedback using implanted DBS electrodes will have the advantage of enabling longer and multiple-day training sessions, which the investigators hypothesise to have a larger impact on control over pathological deep brain oscillations and neurological symptoms, as such a fully implanted neurofeedback system no longer requires the externalisation of DBS wires and is as such no longer limited to the first two days after electrode implantation. All in all, the investigators will not exceed a total streaming time of 7 hours per patients (7 d of battery time), which the investigators deem justifiable with respect to a battery life of > 5 years. This proposed research is highly significant as it will help our understanding of various neurological diseases that are highly prevalent in society (PD being, for instance, the second most common neurodegenerative disorder after Alzheimer's disease) and might culminate in novel, endogenous treatment strategies. The overall risk for patients is minimal to non-existent, as stimulation parameters are unaffected and the intended changes in brain activity are self-induced while DBS stimulation is off.

研究设计

研究类型
Interventional
分配方式
Na
干预模型
Single Group
主要目的
Basic Science
盲法
None

入排标准

年龄范围
18 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • patients undergoing clinically indicated implantation of a Percept™ PC neurostimulator, age ≥ 18 years as well as planned hospitalisation of ≥ 3 days after operation

排除标准

  • minimal prognosticated survival of less than 1 year, reduced state of consciousness (i. e. Glasgow Coma Scale < 15), inability to communicate (in terms of hearing, seeing, speaking and understanding), other significant concomitant diseases (e. g. cardiovascular disease, infectious disease, isolation), inability to follow procedures, insufficient knowledge of project language, inability to give consent and unlikeliness to follow protocol.

研究组 & 干预措施

Bidirectional Neurofeedback

Experimental

干预措施: Neurofeedback (Behavioral)

结局指标

主要结局

Amount of endogenous neuromodulation (difference in oscillatory power)

时间窗: 60 Minutes

The investigators will assess the amount of endogenous modulation of the neurofeedback parameter as compared to a baseline state ('rest') as well as in a bidirectional neurofeedback design (upregulation vs. downregulation). Local field potentials are measured (LFP-recording; physiological parameter; for Parkinson patients the beta-frequencies will be assessed during the study period) using already implanted deep brain stimulation electrodes (Medtronic DBS electrodes) and used to compute the neurofeedback parameter. The amount of endogenous neuromodulation is determined as the difference of power of neuronal oscillations between two conditions \[unit of measure: %-difference in power of deep brain neuronal oscillations\].

次要结局

  • transfer of neurofeedback-learnt strategies(60 min)
  • agency as measured on a visual scale (1-10)(60 min)
  • performance in motor activity tasks(60 min)

研究者

发起方
ETH Zurich
申办方类型
Other
责任方
Principal Investigator
主要研究者

Oliver Bichsel

Principal Investigator

ETH Zurich

研究点 (2)

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