University of California
San Francisco, California, 94143, United States
NCT Number: NCT03029884
Deep brain stimulation (DBS) holds promise as a new option for patients suffering from treatment-resistant chronic pain, but current technology is unable to reliably achieve long-term pain symptom relief. A "one-size-fits-all" approach of continuous, 24/7 brain stimulation has helped patients with some movement disorders, but the key to reducing pain may be the activation of stimulation only when needed, as this may help keep the brain from adapting to stimulation effects. By expanding the technological capabilities of an investigative brain stimulation device, the investigators will enable the delivery of stimulation only when pain signals in the brain are high, and then test whether this more personalized stimulation leads to reliable symptom relief for chronic pain patients over extended periods of time.
This study is active but is not currently recruiting participants.
Notify Me21 year and older
All sexes
Interventional
Not applicable
San Francisco, California, 94143, United States
Many pain syndromes are notoriously refractory to almost all treatment and pose significant costs to patients and society. Deep brain stimulation (DBS) for refractory pain disorders showed early promise but demonstration of long-term efficacy is lacking. Current DBS devices provide "open-loop" continuous stimulation and thus are prone to loss of effect owing to nervous system adaptation and a failure to accommodate natural fluctuations in chronic pain states. DBS could be significantly improved if neural biomarkers for relevant disease states could be used as feedback signals in "closed-loop" DBS algorithms that would selectively provide stimulation when it is needed. This approach may help avert the development of tolerance over time and enable the dynamic features of chronic pain to be targeted in a personalized fashion.
Optimizing the brain targets for both biomarker detection and stimulation delivery may also markedly impact efficacy. Recent imaging studies in humans point to the key role of frontal cortical regions in supporting the affective and cognitive dimensions of pain, which may be more effective DBS targets than previous targets involved in basic somatosensory processing. Pathological activity in the anterior cingulate (ACC) and orbitofrontal cortex (OFC) is correlated with the higher-order processing of pain, and recent clinical trials have identified ACC as a promising stimulation target for the neuromodulation of pain. In this study, the investigators will target ACC and OFC for biomarker discovery and closed-loop stimulation. The investigators will develop data-driven stimulation control algorithms to treat chronic pain using a novel neural interface device (Medtronic Activa PC+S) that allows longitudinal intracranial signal recording in an ambulatory setting. By building and validating this technological capacity in an implanted device, the investigators will empower DBS for chronic pain indications and advance personalized, precision methods for DBS more generally.
This study will enroll ten patients with post-stroke pain, phantom limb syndrome and spinal cord injury pain in our three-phase clinical trial. The investigators will first identify biomarkers of low and high pain states to define optimal neural signals for pain prediction in individuals (Aim 1). These pain biomarkers will then be used to develop closed-loop algorithms for DBS and test the feasibility and efficacy of performing closed-loop DBS for chronic pain in a single-blinded, sham controlled clinical trial (Aim 2). Our main outcome measures will be a combination of pain, mood and functional scores together with quantitative sensory testing. In the last phase, the investigators will assess the efficacy of closed-loop DBS algorithms against traditional open-loop DBS (Aim 3) and assess mechanisms of DBS tolerance in response to chronic stimulation. Successful completion of this study would result in the first algorithms to predict real-time fluctuations in chronic pain states for the delivery of analgesic stimulation and would prove the feasibility of closed-loop DBS for pain-relief by advancing implantable device technology.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Conventional brain stimulation that is tonically providing stimulation, without feedback
No Active Stimulation
Feedback enabled brain stimulation, where stimulation is provided on demand in response to pain biomarkers.
Time frame: 2 years
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. Higher scores represent worse outcome.
Time frame: 4 years
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: 4 years
The Becks Depression Inventory is commonly used assessment tools to quantify and track depression mood state over time. Its a single value outcome measurement ranging from 0 to 63, with 63 being the most depressed.
Time frame: 4 years
The Becks Anxiety Inventory is commonly used assessment tools to quantify and track anxious mood state over time.Its a single value outcome measurement ranging from 0 to 63, with 63 the most anxious.
Time frame: 4 years
The NIH PROMIS toolbox contains a host of survey questions tailored to measurement of specific disease states such as pain, global health and function.
The patient impression evaluates patient self-evaluation and physician evaluation of the patient's general health ranging form 0 to 7 with 7 being the worst general health.
Time frame: 4 years
We will calculate total number of of breakthrough pain medication pills (eg. opioids, NSAIDs and neuropathic pain medication) used each month, to evaluate if analgesia from DBS reduces average usage.
Time frame: 4 years
Each patient will be given a fitbit activity monitor which can record steps taken, flights of stairs climbed, heart rate and sleep quality. These measures will be used to infer functional improvement over time. Heartrate will be tracked as beats per minute (bpm) and the association of bpm with changes in NRS pain will be used to correlate changes in heartrate with pain levels.
Prasad Shirvalkar, MD, PhD
Other
Technology Development for Closed-loop Deep Brain Stimulation to Treat Refractory Neuropathic Pain
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