Chronic pain affects 1 in 4 US adults, and many cases are resistant to almost any treatment. Deep brain stimulation (DBS) holds promise as a new option for patients suffering from treatment-resistant chronic pain, but traditional approaches target only brain regions involved in one aspect of the pain experience and provide continuous 24/7 brain stimulation which may lose effect over time. By developing new technology that targets multiple, complimentary brain regions in an adaptive fashion, the investigators will test a new therapy for chronic pain that has potential for better, more enduring analgesia.
A diverse array of chronic pain syndromes are refractory to almost all treatment but involve pathological activity in similar brain regions. This suggests therapeutic potential for deep brain stimulation (DBS) for refractory pain disorders, but despite early promise, long-term efficacy is lacking. Current DBS devices are limited in anatomical reach, targeting only a subset of the distinct brain regions known to be important. Further, DBS therapy is bluntly applied in an "open-loop," continuous fashion without regard to underlying physiology. As a result of these shortcomings, DBS for pain is often ineffective or shows diminished effect over time. Loss of therapeutic effect may be due to nervous system adaptation or a failure of stimulation to accommodate patient- specific dynamics of pain processing. DBS could be significantly improved by seeking individually optimized brain targets or by using neural biomarkers of pain to selectively control stimulation when it is needed ("closed-loop" DBS). Better brain targets would also address the different dimensions of pain such as somatosensory (location, intensity and duration), affective (mood and motivation) and cognitive (attention and memory). The main goal of this study is to test the feasibility of personalized targeting of brain regions that support multiple pain dimensions and to develop new technology for "closed-loop" DBS for pain. The study team will develop data-driven stimulation control algorithms to treat chronic pain using a novel device (Medtronic Summit RC+S or Percept RC) that allows longitudinal intracranial signal recording in an ambulatory setting. By building this technology in an implanted device, chronic pain DBS is tailored to each patient and will advance precision methods for DBS more generally. Beginning with an inpatient trial period, subjects with various refractory chronic pain syndromes will undergo bilateral surgical implant of temporary electrodes in the thalamus, anterior cingulate, prefrontal cortex, insula and amygdala. These regions have been implicated in the multiple dimensions of pain. The goal of the trial period is to identify candidate biomarkers of pain and optimal stimulation parameters for each individual, and to select subjects who show likelihood to benefit from the trial. A subgroup of 6 such patients will then proceed to chronic implantation of up to 3 "optimal" brain regions for long-term recording and stimulation. The invstigators will first validate biomarkers of low- and high-pain states to define neural signals for pain prediction in individuals (Aim 1). The investigators will then use these pain biomarkers to develop personalized closed-loop algorithms for DBS and test the feasibility of performing closed-loop DBS for chronic pain in weekly blocks (Aim 2). Finally, the investigators will assess efficacy of closed-loop DBS algorithms against traditional open-loop DBS or sham in a double-blinded crossover trial (Aim 3) and measure mechanisms of DBS tolerance. Our main outcome measures will be a combination of pain, mood and functional scores together with quantitative sensory testing. Successful completion of this study would result in the first algorithms to predict real-time fluctuations in chronic pain states and development of a new therapy for currently untreatable diseases.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
SINGLE
Enrollment
12
The investigators will perform DBS versus sham (randomized) to evaluate efficacy of stimulation for analgesia. Closed-loop DBS will be compared to open-loop DBS in a patient blinded, randomized fashion after initial, efficacy evaluation.
University of California, San Francisco
San Francisco, California, United States
RECRUITINGVisual Analog Score
Visual Analog Score is indicated by the patient by marking a 10 cm line as they rate their pain intensity from 0 to 100 in mm.
Time frame: 2 years
Short Form 36 Health Survey
The Short Form 36 Health Survey is a measure of health and functional status, and consists of a 36 question survey with eight scaled scores commonly used in Pain research. Each scaled score is scaled from 0-100 with 0 being the lowest/worst outcome and 100 being the highest/best outcome.
Time frame: 2 years
Quantitative Sensory Testing Pain Threshold
The Quantative Sensory Testing machine is described in the research protocol, and uses thermal stimuli to measure pain sensitivity and thresholds which may change with time or therapy. Thermal stimuli down to 0 degrees F. and up to 55 degrees F are given and patients are asked to report their pain either qualitatively or quantitatively using numerical rating scale from 0 to 10, with 0 being the lowest/no pain, and 10 being the worst.
Time frame: 2 years
Neuropathic Pain Questionnaire
The Neuropathic pain Questionnaire (NPQ) is an assessment instrument for neuropathic pain intensity and quality. It contains 12 items: 10 related to sensations or sensory responses and two related to affect. The items are totaled and rated out of 12, with 12 being in the most neuropathic pain.
Time frame: 2 years
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