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临床试验/NCT05699837
NCT05699837已完成不适用

Home-based Brainwave Entrainment Technology (hBET) for Management of Chronic Pain and Sleep Disturbance: EEG Extension to a Feasibility Study

University of Manchester3 个研究点 分布在 1 个国家目标入组 19 人开始时间: 2022年9月19日最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
入组人数
19
试验地点
3
主要终点
Change in alpha power from baseline

研究概览

简要总结

Long-term pain affects one-third of the United Kingdom population and can be very disabling. People experiencing long-term pain often suffer from disturbed sleep because of their pain symptoms, and disturbed sleep can then make their pain symptoms worse. Managing long-term pain is also very costly to the National Health Service. The most common treatment is prescribed medicines, but these do not always work and can have serious side-effects for some patients.

The investigators have been developing an alternative approach for treating long-term pain. This approach uses simple non-invasive tools to promote some kinds of brain activity over others. It involves patients using headphones to listen to some specific sounds, or a headset with lights flashing at particular frequencies. The studies undertaken so far seem to show that doing this can change how the brain responds to pain. It potentially offers an inexpensive yet effective way of reducing pain and improving sleep for patients with long-term pain. There are a few small studies that support this approach and more work is needed. In a recent study the investigators found that these tools can be reliably used in home settings and there were some indications that they improved symptoms. However, sleep was only measured with sleep diary and movement detection, there was no direct measurement of whether the stimulation frequencies were resulting in the desired brainwave changes. Finally, the benefit to symptoms may have been the result of other factors, such as the passage of time or placebo effect.

Therefore this study extends the experiment, adding more accurate sleep monitoring which includes monitoring electrical activity in the brain (EEG), as well as providing rhythmic and non-rhythmic stimulation in a randomised order. The aim is to further test the effect of these home-based tools with individuals with long-term pain, in a more rigorous way. Up to 30 participants with long-term pain and pain-related sleep disturbance will use the tools for 30 minutes at bed time every day for 4 weeks (2 weeks with one type of stimulation, 2 weeks with another type). The changes in participants' pain, sleep, brainwave frequencies, fatigue and mood will be measured.

These findings will inform the planning and design of a future much larger study to test this technology, if this is justified by the results.

研究设计

研究类型
Interventional
分配方式
Randomized
干预模型
Crossover
主要目的
Treatment
盲法
Triple (Participant, Investigator, Outcomes Assessor)

盲法说明

The stimulation is delivered via a smartphone application. Each participant will receive one of two versions, which are identical apart from the order in which the two types of stimulation are given. The participant and the investigator enrolling participants and conducting questionnaire and interview outcome assessment, will be masked as to which version they are using. The record of which version was allocated to which participant will be held centrally by co-investigators with no direct participant contact, until results are analysed.

入排标准

年龄范围
18 Years 至 80 Years(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • Age 18-80 years
  • Chronic non-cancer pain (recurring pain ≥ 3 months duration)
  • Diagnosis of fibromyalgia, meeting 2016 ACR criteria.
  • Having nocturnal pain (NRS 0-10 worst pain ≥ 4)
  • Self-reported sleep difficulties (trouble falling asleep, difficulty staying asleep, waking up too early, or waking up unrefreshed) 3 or more nights per week during the past month

排除标准

  • Planned intervention during the study period
  • Seizure disorder
  • Photosensitivity
  • Hearing or sight problems causing inability to use hBET
  • Cognitive problems or dementia or mental health disorders causing inability to consent
  • Night shift worker
  • Any known primary sleep disorder including obstructive sleep apnoea, narcolepsy, restless leg syndrome

结局指标

主要结局

Change in alpha power from baseline

时间窗: Daily for 6 weeks

Alpha spectral power in active stimulation use periods compared to sham stimulation use periods relative to equivalent baseline periods.

Change in Sleep Quality from baseline, measured with Pittsburgh Sleep Quality Index

时间窗: Weeks 1, 3 and 6

Sleep quality (0-21 score) at the end of 2 week active stimulation use period compared to at the end of 2 week sham stimulation use period each relative to the baseline period.

次要结局

  • Actigraphy; total sleep time(Daily for 6 weeks)
  • DREEM headband; sleep onset latency(Daily for 6 weeks)
  • Daily sleep diary; Wake after sleep onset(Daily for 6 weeks)
  • Daily sleep diary; Sleep Efficiency(Daily for 6 weeks)
  • Daily sleep diary; Sleep quality(Daily for 6 weeks)
  • DREEM headband derived microarousal index(Daily for 6 weeks)
  • Actigraphy; Wake after sleep onset(Daily for 6 weeks)
  • DREEM headband; Sleep Efficiency(Daily for 6 weeks)
  • Actigraphy; Sleep Efficiency(Daily for 6 weeks)
  • Brief Pain Inventory Pain Interference score(Weekly for 6 weeks)
  • Daily pain diary(Daily for 6 weeks)
  • Daily sleep diary; total sleep time(Daily for 6 weeks)
  • DREEM headband; total sleep time(Daily for 6 weeks)
  • Actigraphy; sleep onset latency(Daily for 6 weeks)
  • Brief Pain Inventory Severity score(Weekly for 6 weeks)
  • Multidimensional Fatigue Inventory(Weeks 1, 3 and 6)
  • Daily sleep diary; sleep onset latency(Daily for 6 weeks)
  • DREEM Headband; Wake after sleep onset(Daily for 6 weeks)
  • DREEM headband derived sleep architecture(Daily for 6 weeks)
  • DREEM headband recorded awakenings(Daily for 6 weeks)
  • Hospital Anxiety and Depression Scale(Weeks 1, 3 and 6)
  • EuroQol 5 Dimensions (EQ-5D-5L)(Weeks 1, 3 and 6)

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Stephen Halpin

Principle investigator

University of Manchester

研究点 (3)

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