Alpha tACS and Pain Avoidance Behavior in Chronic Pain Patients
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 入组人数
- 30
- 试验地点
- 1
- 主要终点
- magnitude of alpha frequency band power
研究概览
简要总结
Pain avoidance helps with survival. However, chronic pain patients often avoid valued life activities fearing onset or exacerbation of pain. Hence, pain avoidance no longer protects, but reduces quality of life. The goal of this clinical trial is to learn if non-invasive brain stimulation technique called transcranial alternating current stimulation (tACS) impact pain avoidance behavior in chronic pain patients. tACS is a way to gently stimulate the brain using a small, portable device. It sends an extremely weak, continuous alternating current through the scalp. Participants will either get real tACS or a fake (sham) version. Real tACS will stimulate the brain in the alpha frequency (8-12 Hz) which has been found to influence pain avoidance behavior, whereas sham tACS will stimulate the brain in a different frequency that is not known to influence avoidance behavior. The main questions it aims to answer are:
Does tACS alter the way chronic pain patients confront pain in terms of avoidance behavior? How does tACS impact brain signals related to pain avoidance behavior?
Participants will:
- fill out self-administered questionnaires asking about their medication use, personality and temperament, mood, including anxiety and depression, current pain level, and any disability you have due to your pain.
- perform of a pain avoidance task before, during and after 'real' tACS or 'sham' tACS. They may also be asked to stay quiet before, during and after tACS. During this period, we will scan the brain using a neuroimaging device called Magnetoencephalography (MEG). Additionally, Electroencephalography (EEG) brain signals will also be collected using electrodes affixed to the scalp. We may also measure Skin conductance response (SCR) and electrocardiography (EKG) using electrodes affixed to the skin.
- also get a T1 MRI if they do not have an implanted SCS, DRG, intrathecal pump, or other similar device that are not MRI compatible.
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Parallel
- 主要目的
- Treatment
- 盲法
- Triple (Participant, Investigator, Outcomes Assessor)
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Age 18 years or older
- •Diagnosed with Complex Regional Pain Syndrome (CRPS) Type I or II, based on Budapest criteria
- •6 months or more of medically refractory severe pain
- •Average daily pain for past 30 days >= 5 on 0-10 scale
- •Presence of allodynia and/or hyperalgesia
- •Lower extremity CRPS: bilateral or unilateral pain
- •Not concurrently treated with neurostimulation therapies such as spinal cord stimulators (SCS)
- •Absence of co-occurring severe psychiatric disorders (PHQ-9<19 and/or GAD-7<14)
排除标准
- •Age under 18 years, pregnant women of any age
- •Any co-occurring pain diagnosis that might confound with allodynia/hyperalgesia resulting from CRPS reflecting a malfunction in sensory processing within the CNS.
- •Less than six months of medically refractory pain
- •Average daily pain for past 30 days <5 on 0-10 scale
- •Absence of allodynia and/or hyperalgesia
- •Concurrent neurostimulation therapies such as SCS
- •Severe disorders or conditions (e.g., cardiovascular, liver issues), terminal illness
- •PHQ-9>19 and/or GAD-7>14 (severe depression/anxiety)
研究组 & 干预措施
gamma frequency tACS
干预措施: transcranial alternating current stimulation (tACS) (Device)
alpha frequency tACS
干预措施: transcranial alternating current stimulation (tACS) (Device)
结局指标
主要结局
magnitude of alpha frequency band power
时间窗: Periprocedural
measured using MEG/EEG from resting-state and during the performance of pain avoidance task. The MEG/EEG neural signals will be transformed to frequency domain to measure the magnitude of power in the alpha band.
次要结局
- standard deviation in R-R length(Periprocedural)
- number of spontaneous skin conductance fluctuations(Periprocedural)
研究者
Raghavan Gopalakrishnan
Associate Staff
The Cleveland Clinic