This study relies on the use of a smartphone application (SOMA) that the investigators developed for tracking daily mood, pain, and activity status in acute pain, chronic pain, and healthy controls over four months.The primary goal of the study is to use fluctuations in daily self-reported symptoms to identify computational predictors of acute-chronic pain transition, pain recovery, and/or chronic pain maintenance or flareups. The general study will include anyone with current acute or chronic pain, while a smaller sub-study will use a subset of patients from the chronic pain group who have been diagnosed with chronic low back pain, failed back surgery syndrome, or fibromyalgia. These sub-study participants will first take part in one in-person EEG testing session while completing simple interoception and reinforcement learning tasks and then begin daily use of the SOMA app. Electrophysiologic and behavioral data from the EEG testing session will be used to determine predictors of treatment response in the sub-study.
Chronic Pain, Acute Pain, Post Operative Pain, Fibromyalgia, Primary, Fibromyalgia, Secondary, Fibromyalgia, Irritable Bowel Syndrome, Chronic Headache Disorder, Chronic Migraine, Chronic Pelvic Pain Syndrome, Temporomandibular Joint Disorders, Endometriosis-related Pain, Arthritis, Chronic Low-back Pain, Failed Back Surgery Syndrome, Post Herpetic Neuralgia, Neuropathic Pain, Painful Diabetic Neuropathy, Painful Bladder Syndrome, Trauma-related Wound, Trauma, Multiple, Chronic Pain Syndrome, Chronic Shoulder Pain
This study relies on the use of a smartphone application (SOMA) that the investigators developed for tracking daily mood, pain, and activity status in acute pain, chronic pain, and healthy controls over four months.The primary goal of the study is to use fluctuations in daily self-reported symptoms to identify computational predictors of acute-chronic pain transition, pain recovery, and/or chronic pain maintenance or flareups. The general study will include anyone with current acute or chronic pain, while a smaller sub-study will use a subset of patients from the chronic pain group who have been diagnosed with chronic low back pain, failed back surgery syndrome, or fibromyalgia. These sub-study participants will first take part in one in-person EEG testing session while completing simple interoception and reinforcement learning tasks and then begin daily use of the SOMA app. Electrophysiologic and behavioral data from the EEG testing session will be used to determine predictors of treatment response in the sub-study.
Assessing Symptom and Mood Dynamics in Pain Using the Smartphone Application SOMA
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Brown University, Providence, Rhode Island, United States, 02912
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
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18 Years to
ALL
Yes
Brown University,
Frederike H Petzschner, PhD, PRINCIPAL_INVESTIGATOR, Brown University
2025-06-30