I’ve had chronic back on and off all my life. Just recently had a rhizotomy so when I heard about PRT I wanted to do some research on this subject as this is what I found.
What is pain reprocessing therapy (PRT)?
Pain reprocessing therapy (PRT) is a new, drug-free approach to treating back pain and chronic pain. Learn how it works, how to try it, and more.
Does PRT really work for back pain?
More studies are necessary to find out if PRT will really work for back pain and other forms of chronic pain. But in theory, any chronic pain not caused by injury or physical disease could be a good candidate for PRT. Brain-generated pain may be a symptom of many different medical conditions such as:
Pain reprocessing therapy is a new method of managing some types of chronic pain that are considered “brain-generated,” meaning the pain isn’t caused by an injury or physical condition.
The therapy aims to retrain the brain to interpret pain signals as non-threatening. It uses techniques such as mindfulness and reframing in the hopes of lowering your pain.
Pain reprocessing therapy is still very new. It’s only been tested for back pain so far. but it shows promise as a possible treatment for some types of pain.
- Identification of Back Pain and Psychological Components: Researchers recognize that back pain is not solely a physical issue. Psychological factors, including stress, anxiety, fear, and cognitive perceptions, can significantly impact the experience and management of back pain.
- Literature Review: Experts delve into existing studies that explore the relationship between psychological interventions and pain management, especially concerning back pain. They review cognitive-behavioral therapy (CBT), mindfulness-based approaches, or other psychological methods that may influence how individuals perceive and cope with pain.
- Hypothesis Formation: Building on the findings from the literature, researchers form a hypothesis suggesting that addressing psychological aspects through PRT, such as altering pain perception, could positively impact back pain management by reducing the intensity or the emotional response to pain.
- Study Design: Research is designed to test the hypothesis. This may involve creating structured interventions involving psychological counseling, cognitive restructuring, relaxation techniques, or mindfulness training targeting back pain sufferers.
- Participant Recruitment: Individuals suffering from chronic or acute back pain, likely with a psychological component to their discomfort, are recruited. The research may focus on specific groups, such as those with stress-related back pain or pain influenced by emotional distress.
- Intervention: Participants undergo the PRT program, which could involve various therapeutic techniques, such as cognitive restructuring, mindfulness practices, or stress-reducing activities.
- Data Collection: Researchers collect data on the participants’ pain levels, emotional responses, coping mechanisms, and functional abilities. This might involve self-reported pain scales, psychological assessments, and measures of functional improvement related to back pain.
- Analysis: The collected data is analyzed to determine the effects of the PRT on back pain. Researchers look for changes in pain perception, psychological well-being, and functional improvements as a result of the therapy.
- Results and Conclusion: Based on the analysis, researchers draw conclusions about the effectiveness of PRT in managing back pain. They discuss the significance of the findings, any limitations in the study, and potential recommendations for future research or clinical application.
- Publication and Peer Review: The findings are compiled into a research paper and submitted to scientific journals. The research undergoes peer review, and if validated, it may influence the field of pain management and be considered for clinical implementation.
Many people experience chronic pain (long-term pain). Managing that pain can be a challenge, especially if your pain cannot be traced back to an injury or condition without a physical cause (like a torn muscle or worn-down joint).
Researchers developed a new form of pain management called pain reprocessing therapy. Although it is still in the testing phase, the techniques may relieve chronic pain in people without physical evidence of injury or disease.
Effect of Pain Reprocessing Therapy vs Placebo and Usual Care for Patients With Chronic Back PainA Randomized Clinical Trial
Chronic pain affects 20% of people in the US, with an estimated annual cost of more than $600 billion.1,2 The most common type is chronic back pain (CBP). In approximately 85% of cases, definitive peripheral causes of CBP cannot be identified, and central nervous system processes are thought to maintain pain.3–7 For people with this type of CBP— often referred to as primary, nonspecific, nociplastic, or centralized pain—psychological and behavioral treatments are recommended.8–10 Although these treatments can improve functioning, reductions in pain intensity are limited11,12 and better treatments are needed.
Advances in the neuroscience of pain13–17 and interoception18–21 suggest new directions for treatment development. In constructionist and active inference models, pain is a prediction about bodily harm, shaped by sensory input and context-based predictions.18,19,22–26 Fearful appraisals of tissue damage can cause innocuous somatosensory input to be interpreted and experienced as painful.22,24,27,28 Such constructed perceptions can become self-reinforcing: threat appraisals enhance pain, which is in turn threatening, creating positive feedback loops that maintain pain after initial injuries have healed.27,29–31
As pain becomes chronic, it is increasingly associated with activity in the affective and motivational systems tied to avoidance and less closely tied to systems encoding nociceptive input.14,32–34 Accordingly, brain regions serving allostasis and predictive control18,23—including the default mode network, somatosensory and insular cortices, amygdala, and nucleus accumbens—have been implicated in animal models13–17 and human studies of chronic pain22,25,32,33,35,36 and pain modulation.24,25,28,37–39
We developed pain reprocessing therapy (PRT) based on this understanding of primary chronic pain. Leading psychological interventions for pain typically present the causes of pain as multifaceted and aim primarily to improve functioning and secondarily to reduce pain. PRT emphasizes that the brain actively constructs primary chronic pain in the absence of tissue damage and that reappraising the causes and threat value of pain can reduce or eliminate it.
In this study, we conducted the first test of PRT. In a randomized clinical trial with 1-year follow-up, we compared PRT with both open-label placebo and usual care control conditions. We tested hypothesized mechanisms of PRT with mediation analyses and longitudinal functional magnetic resonance imaging (fMRI) during spontaneously occurring and evoked back pain. fMRI provided objective correlates of treatment effects and identified potential neurobiological treatment mechanisms.
The trial was preregistered on ClinicalTrials.gov (Identifier: NCT03294148) and conducted from August 2017 to November 2018, with 1-year follow-up completed by November 2019. Clinical and fMRI data were analyzed from January 2019 to August 2020, after data collection at each follow-up timepoint was complete. Participants aged 21 to 70 years with back pain for at least half the days of the last 6 months and a 1-week average pain intensity score of 4 of 10 or greater at screening were recruited from the community in Boulder, Colorado. We targeted primary CBP, excluding patients with leg pain worse than back pain (eMethods in Supplement 2). Power analysis targeted 80% power (α = .05) to detect a medium effect (d = 0.62) on pain intensity at the primary endpoint (eMethods in Supplement 2). Participants provided written informed consent as approved by the University of Colorado Institutional Review Board. The study followed the Consolidated Standards of Reporting Trials (CONSORT) reporting guideline for social and psychological intervention trials.
Participants completed an eligibility and consent session, followed by a baseline assessment session with fMRI. They were subsequently randomized to PRT, placebo, or usual care with equal probability, balancing on age, sex, baseline pain, and opioid use using an imbalance-minimization algorithm40 (eMethods in Supplement 2). The primary endpoint (posttreatment fMRI session) occurred 1 month after the baseline fMRI. Participants completed online follow-up assessments at 1, 2, 3, 6, and 12 months after the primary endpoint (Figure 1).
PRT seeks to promote patients’ reconceptualization of primary (nociplastic) chronic pain as a brain-generated false alarm. PRT shares some concepts and techniques with existing treatments for pain41–48 and with the cognitive behavioral treatment of panic disorder.66
Participants completed a 1-hour telehealth evaluation and education session with a physician (H.S.) assessing likely centralized vs peripheral contributions to pain, including a review of available preexisting spinal imaging. Assessment findings and centralized pain education were shared with the patient (eAppendix 1 in Supplement 2).
Participants then completed 8 individual 1-hour therapy sessions with a therapist with extensive PRT experience (A.G. or C.U.) twice weekly for 4 weeks. Techniques included (1) providing personalized evidence for centralized pain; (2) guided reappraisal of pain sensations while seated and while engaging in feared postures or movements; (3) techniques addressing psychosocial threats (eg, difficult emotions) potentially amplifying pain; and (4) techniques to increase positive emotions and self-compassion. PRT followed the treatment protocol found in eAppendix 2 in Supplement 2.
Treatment fidelity was assessed by independent raters coding audio recordings of PRT sessions (eMethods and eAppendix 3 in Supplement 2). A mean (SD) of 4.93 (0.87) of 6 PRT elements was present in each session, and all sessions included at least 3 elements, indicating high treatment fidelity.
Participants watched 2 videos describing how placebo treatments can powerfully relieve pain even when known to be inert (eg, they can automatically trigger the body’s natural healing response).49 A subcutaneous injection described as saline was administered by a physician (K.K.) at the site of greatest back pain during an empathic, validating clinical encounter at an orthopedic medical center. Open-label placebo treatments are as effective or nearly as effective as traditional (deceptive) placebos for CBP and other chronic symptoms when administered in this manner (eMethods in Supplement 2).50–52 Participants in this group were also asked to continue their ongoing care as usual and not start other new treatments until after the study period.
Participants in this group were given no additional treatment. They agreed to continue their ongoing care as usual and not start new treatments before the posttreatment assessment. After the posttreatment assessment, they were given a chronic pain workbook53 and access to http://www.unlearnyourpain.com.
The primary outcome was average pain over the last week on a numerical rating scale from 0 to 10 from the Brief Pain Inventory Short Form, assessed at the 1-month postbaseline session. We also calculated the proportion of participants reporting pain reduction of 30% or more, pain reduction of 50% or more, and a pain score of 0 or 1, indicating a pain-free or nearly pain-free state. Secondary outcomes included pain interference (Oswestry Disability Index); Patient-Reported Outcome Measurement Information System (PROMIS) short forms for depression, anxiety, anger, and sleep quality; and the Positive and Negative Affect Scale (measure details in the eMethods in Supplement 2).
We considered 3 measures of pain beliefs as potential mediators: (1) the Tampa Scale of Kinesiophobia (TSK-11), assessing belief that pain indicates injury and fear of movement; (2) the Pain Catastrophizing Scale (PCS); and (3) the Survey of Pain Attitudes Emotion subscale (SOPA-Emotion), assessing beliefs that stress and negative emotion increase pain. Adverse events were recorded when participants spontaneously reported them to study personnel. Baseline pain was computed as the average score from 2 pre-randomization assessments (eligibility session and pretreatment fMRI session).
Structural T1 and multiband blood oxygenation level–dependent functional imaging was conducted on a 3-T Siemens Prisma Fit MRI scanner with standard fMRI preprocessing (eMethods in Supplement 2). During fMRI, participants completed (1) an evoked back pain task with a series of randomly ordered trials distending the back to 1 of 4 intensity levels and (2) a spontaneous pain scan in which participants rested and rated ongoing pain once per minute (design details in the eMethods in Supplement 2; fMRI data quality measures shown in eFigures 6 and 7 in Supplement 2). Participants rated pain during scanning on a visual analog scale from 0 (no pain) to 100 (worst pain imaginable).
Intent-to-treat analyses (including all randomized patients) were performed for the primary outcome with a mixed-effects model (fitlme, MATLAB 2020a), including 2 group × time interactions (PRT vs placebo × posttreatment vs pretreatment and PRT vs usual care × posttreatment vs pretreatment), covariates for age and sex, and a random intercept per participant. Treatment response rates for 30% or greater reduction in pain, 50% or greater reduction in pain, and a pain-free or nearly pain-free state at posttreatment and 1-year follow-up were based on all randomized patients; those missing data were considered nonresponders. For follow-up time points and secondary outcomes, we calculated Hedges g for the PRT vs placebo and PRT vs usual care comparisons. Follow-up time points were analyzed individually, testing group differences in change from baseline to each time point. The placebo vs usual care comparison will be reported elsewhere.
To investigate psychological treatment mechanisms, we (1) correlated pretreatment to posttreatment changes in pain intensity with pretreatment to posttreatment changes in pain beliefs (TSK-11, PCS, and SOPA-Emotion) within each group and (2) tested pretreatment to posttreatment changes in pain beliefs as mediators of treatment effects on pain at follow-up timepoints (1 through 12 months posttreatment), controlling for baseline pain. PRT vs placebo and PRT vs usual care were tested in separate models. We also tested the reverse: whether pretreatment to posttreatment pain reductions mediated treatment effects on pain beliefs at follow-up, controlling for baseline pain beliefs (eMethods in Supplement 2). Correlational and mediation analyses were not prespecified in the trial protocol.
An evoked back pain localizer identified brain regions positively associated with evoked back pain intensity at baseline. The localizer was conducted within a mask of regions of interest (medial prefrontal, posteromedial, insula, cingulate, and somatosensory cortices; amygdala; and nucleus accumbens; eMethods and eFigure 1 in Supplement 2; localizer task design in eFigure 8 in Supplement 2). We tested for treatment effects (group × time interactions) in the average activity of clusters positively associated with evoked back pain using a mixed-effects (random-effects) model, applying a 1-tailed threshold of P < .05 owing to directional hypotheses that PRT would reduce activity in pain-positive clusters.
Evoked pain analyses identified group × time interactions in the anterior insula, anterior midcingulate (aMCC), and prefrontal region. We submitted these 3 regions as seeds to connectivity analyses in the spontaneous pain scan. We conducted permutation tests (threshold-free cluster-enhancement; eMethods in Supplement 2) testing for group × time interactions in connectivity between these seed regions and 2 areas most often demonstrating altered connectivity in chronic pain: (1) the midline default mode network, including the medial prefrontal and posteromedial cortex, and (2) primary somatosensory cortex (S1)36,54–59 (masks in eFigure 2 in Supplement 2).
We randomized 151 participants (54% female; mean [SD] age, 41.1 [15.6] years; mean [SD] CBP duration, 10.0 [8.9] years). At baseline, patients reported low to moderate pain intensity scores (mean [SD], 4.10 [1.26]) to 4.41 [1.29]) and disability (mean [SD], 23.34 [10.12] on the Oswestry Disability Index), with similar pain and demographic characteristics across groups (Table 1).
Of 50 participants randomized to PRT, 44 (88%) completed all treatment sessions and the posttreatment assessment. Five participants dropped out prior to initiating PRT and 1 had an unrelated medical emergency. Of 51 participants randomized to placebo, 44 (86%) received the treatment, all of whom completed the posttreatment assessment. Of the 50 participants randomized to usual care, 47 (94%) completed the posttreatment assessment (Figure 1).
Twenty patients in the PRT group had preexisting spinal imaging, all of which showed at least 1 spinal anomaly (median of 4 findings per patient; eTable 1 in Supplement 2) assessed by a physician (H.S.) as not causal of pain (eMethods and eAppendix 1 in Supplement 2).61
Patients randomized to PRT reported substantial reductions in pain intensity at posttreatment compared with both control groups, with a mean (SD) pain score of 1.18 (1.24) in the PRT group, 2.84 (1.64) in the placebo group, and 3.13 (1.45) in the usual care group (Figure 2; Table 2). Patients in the PRT group reported a pain reduction of 1.79 (on the 0 to 10 numerical rating scale) relative to placebo (t137.63 = 6.06; P < .001; g, −1.14; 95% CI, −1.65 to −0.71) and reported a pain reduction of 2.40 relative to the usual care group (t135.69 = 8.13; P < .001; g, −1.74; 95% CI, −2.28 to −1.32). A total of 33 of 50 patients randomized to PRT (66%), corresponding to 73% of the 45 patients who initiated PRT, were pain-free or nearly pain-free at posttreatment, compared with 10 of 51 patients (20%) in the placebo group and 5 of 50 patients (10%) in the usual care group. At 1-year follow-up, the effects of PRT on pain remained large relative to both control groups, with a mean (SD) pain score of 1.51 (1.59) in the PRT group, 2.79 (1.78) in the placebo group, and 3.00 (1.77) in the usual care group. Hedges g was −0.70 for PRT vs placebo (P = .001) and −1.05 for PRT vs usual care (P < .001) (Table 2; treatment response rates in eTable 2 in Supplement 2; individual patient pain trajectories in eFigure 3 in Supplement 2).
Analyses of secondary outcomes at posttreatment revealed significant reductions in disability and anger for PRT vs both controls (g, −0.62 to −1.7; P < .005) and improvements in sleep (g, −0.56; P = .009) and depression (g, −0.63; P = .003) relative to usual care (Table 2). Treatment gains on secondary outcomes were largely maintained at 1-year follow-up (Table 2). Significant PRT vs control effects were observed at posttreatment for positive affect (Positive and Negative Affect Schedule; g for PRT vs placebo, 0.63, g for PRT vs usual care, 0.59; P < .005; eTable 3 in Supplement 2) but not for negative affect or alcohol, cannabis, or opioid use (eTable 3 in Supplement 2). Treatment satisfaction was high among participants in the PRT group (eTable 4 in Supplement 2).
Pretreatment to posttreatment reductions in TSK-11 and pain intensity scores were correlated among participants in the PRT group (r42 = 0.44; P = .003; eFigure 4 in Supplement 2). This correlation was not significant for the placebo condition (r42 = 0.16; P = .29) or usual care condition (r45 = 0.27; P = .07). Pretreatment to posttreatment changes in PCS and SOPA-Emotion scores did not correlate with pain reductions within any group.
Pretreatment to posttreatment reductions in TSK-11 scores mediated PRT vs placebo and PRT vs usual care effects on pain intensity at most follow-up time points (eFigure 4 and eTables 5 and 6 in Supplement 2). The reverse was also true: pretreatment to posttreatment pain reductions mediated PRT vs placebo and PRT vs usual care effects on TSK-11 at follow-up. Pretreatment to posttreatment changes in PCS and SOPA-Emotion did not mediate PRT vs control effects at any follow-up time point. Treatment effects on TSK-11 were very large at posttreatment (g for PRT vs placebo, −1.90; g for PRT vs usual care,−1.67; P < .001).
Neither age nor sex moderated the treatment effect on pain intensity (eMethods in Supplement 2). No adverse events were reported for PRT.
At baseline, increased back distention led to increased pain (mean [SD] for distention level 1, 32.15 [18.57]; distention level 2, 37.91 [20.30]; distention level 3, 46.70 [21.71]; distention level 4, 52.73 [21.78]). There was a significant effect of distention level on pain (mean [SD] β for inflation, 7.05 [5.06]; t95 = 13.64; P < .001. Individual patient-evoked pain data are shown in eFigure 5 in Supplement 2.
Patients receiving PRT reported significant pretreatment to posttreatment reductions in evoked back pain relative to placebo (β, −13.05 on a 101-point visual analog scale; t122.85 = −2.82; P = .006; g, −0.60; 95% CI, −1.06 to −0.16) and relative to usual care (β, −19.61; t79.52 = −4.03; P < .001; g, −0.99; 95% CI, −1.50 to −0.55; Figure 3A). Among patients in the PRT group, pretreatment to posttreatment reductions in evoked back pain and 1-week average back pain intensity were correlated (r32 = 0.47; P = .005).
Localizer analyses identified 16 regions within the mask of interest positively associated with evoked pain intensity, including the bilateral insula, cingulate, bilateral somatotopic back areas S1 and secondary somatosensory cortex, and prefrontal regions (Figure 3B; eFigure 1 and eTable 7 in Supplement 2). Relative to placebo, PRT reduced pain-related activity in aMCC (t133.48 = −1.73; P = .04) and the anterior prefrontal cortex (aPFC; t133.48 = −1.85; P = .03). Relative to usual care, PRT reduced pain-related activity in the left anterior insula (aIns; t120.1 = −2.34; P = .01; Figure 3C).
Patients receiving PRT reported reductions in spontaneous pain relative to placebo (β, −18.24 on a 101-point visual analog scale; t140.66 = −4.59; P < .001; g, −0.92; 95% CI, −1.44 to −0.47) and relative to usual care (β, −21.53; t79 = −5.26; P < .001; g, −1.11; 95% CI, −1.66 to −0.66; Figure 3D).
We submitted the aMCC, aPFC, and aIns regions exhibiting treatment effects in evoked pain analyses as connectivity seed regions in the spontaneous pain task. Within S1, PRT vs placebo and PRT vs usual care led to increased aPFC- and aIns-seeded connectivity to 4 distinct S1 subregions (permutation test COPE-MAX, 3.55-3.91; P < .05). Within the medial default mode network, PRT vs usual care increased aMCC-precuneus connectivity (permutation test COPE-MAX, 4.23; P = .01; Figure 3E; cluster coordinates and statistics in eTable 8 in Supplement 2). No group × time interactions were found for aPFC- or aIns-seeded connectivity to default mode network regions or for aMCC-seeded connectivity to S1.
PRT yielded large reductions in CBP intensity relative to open-label placebo and usual care control conditions in a community sample, with nearly two-thirds of randomized patients and 73% of those initiating PRT reporting they were pain-free or nearly pain-free at posttreatment. Large effects of PRT on pain continued at 1-year follow-up. PRT also reduced experimentally evoked back pain and spontaneous pain during fMRI with large effect sizes, and several secondary outcomes (eg, disability and anger) also improved for PRT relative to the control groups.
PRT targets primary (nociplastic) pain by shifting patients’ beliefs about the causes and threat value of pain. It presents pain as a reversible, brain-generated phenomenon not indicative of peripheral pathology, consistent with active inference and constructionist accounts of interoception and pain.18,19,22–27 PRT builds on and extends existing psychological treatment models. Cognitive-behavioral, acceptance-based, and mindfulness-based interventions typically aim to improve functioning by decreasing pain catastrophizing, enhancing pain coping or acceptance, and promoting engagement in valued life activities.41,44,46,48,62 Exposure-based treatments share with PRT an emphasis that painful activities are not injurious,42,63–65 but do not emphasize reappraising pain sensations and reattributing the causes of pain. Some pain neuroscience education interventions present pain in a similar way as PRT,43 though they typically lack guided exposure and reappraisal exercises.
Large reductions in pain are rarely observed in CBP psychological treatment trials.11,12 Relatively unique components of PRT potentially contributing to the observed effects include (1) an in-depth medical and psychological assessment generating personalized evidence for centralized pain; (2) reattribution of pain to reversible learning- and affect-related brain processes rather than bodily injury; and (3) a unique combination of cognitive, somatic, and exposure-based techniques supporting pain reappraisal (eDiscussion in Supplement 2).
Correlational and mediational analysis results support changes in fear-inducing pain beliefs as a potential PRT mechanism. Effects of PRT on pain beliefs were also mediated by pain intensity reductions, perhaps because pain reductions promote beliefs in pain modifiability (eDiscussion in Supplement 2). Changes in pain beliefs are not unique to PRT, but PRT may more strongly change these beliefs compared with existing therapies (eTable 6 in Supplement 2).
These hypothesized mechanisms are consistent with extinction-based treatment approaches to anxiety disorders.42,65 For example, 85% of patients became free of panic symptoms following treatment focused on reappraising somatic symptoms as caused by non-dangerous central nervous system processes (eg, false alarms).66
PRT reduced evoked pain-related activity in aPFC, aMCC, and aIns. The aPFC and adjacent dorsolateral prefrontal cortex (dlPFC) are implicated in the detection and inhibition of pain.67 aPFC reductions following PRT suggest a potential reduction of pain-related signals or decreased prioritization of pain control. The aMCC and aIns are cortical convergence zones in the construction of negative affect in pain and other domains.20,68–70 Cognitive pain regulation strategies, including mindful acceptance38,39 and placebo analgesia,24,25,28 have been found to reduce aMCC and aIns responses to pain, demonstrating parallels between experimental findings and our clinical findings. The aIns reductions in our study were not specific to PRT vs placebo and may reflect processes common to both these interventions.
PRT also increased aPFC and aIns connectivity to S1, aligning with previous findings that cognitive behavioral therapy for fibromyalgia57 and acupuncture for CBP55 increased aIns-S1 connectivity. Increased aPFC and aIns connectivity to S1 may reflect increased attention to somatosensory input in constructing pain.71 This is congruent with mindfulness-based treatments promoting nonreactive attention to bodily sensations, reducing catastrophizing.38,39,48,71 Yet, increased S1 connectivity has also been associated with increased clinical pain,72 and the role of S1 connectivity remains unclear.55 PRT vs usual care also increased aMCC-precuneus connectivity, with intermediate effects observed in participants receiving placebo treatment. Altered default mode connectivity has often been reported in chronic pain, although typically with heightened connectivity for patients vs controls (eDiscussion in Supplement 2).36,54,56,58,59
This study has limitations. The study sample was relatively well-educated and active and reported long-standing low to moderate pain and disability at baseline. The physician and therapists were experts in the treatment model. Future studies should test generalizability to other patient populations, therapists, and treatment contexts (eDiscussion in Supplement 2). The fMRI effect sizes were modest, with some results not surviving whole-brain correction (eMethods in Supplement 2). Future trials should test PRT efficacy relative to leading psychological and medical treatments (eDiscussion in Supplement 2).
Overall, our findings raise key possibilities about the nature and treatment of primary CBP. Changing fear- and avoidance-inducing beliefs about the causes and threat value of pain may provide substantial, durable pain relief for people with primary CBP.
Accepted for Publication: July 27, 2021.
Published Online: September 29, 2021. doi:10.1001/jamapsychiatry.2021.2669
Open Access: This is an open-access article distributed under the terms of the CC-BY License. © 2021 Ashar YK et al. JAMA Psychiatry.
Corresponding Author: Tor D. Wager, Ph.D., Department of Psychological and Brain Sciences, Dartmouth College, 352 Moore Hall, HB 6207, Hanover, New Hampshire 03755 (email@example.com); Yoni K. Ashar, Ph.D., Department of Psychiatry, Weill Cornell Medical College, 1300 York Ave, New York, NY 10065 (firstname.lastname@example.org).
Author Contributions: Drs Ashar and Wager had full access to all the data in the study and took responsibility for the integrity of the data and the accuracy of the data analysis.
Concept and design: Ashar, Gordon, Schubiner, Uipi, Knight, Geuter, Dimidjian, Wager.
Acquisition, analysis, or interpretation of data: Ashar, Gordon, Schubiner, Uipi, Knight, Anderson, Carlisle, Polisky, Geuter, Flood, Kragel, Lumley, Wager.
Drafting of the manuscript: Ashar, Gordon, Schubiner, Polisky, Lumley, Wager.
Critical revision of the manuscript for important intellectual content: All authors.
Statistical analysis: Ashar, Polisky, Geuter, Lumley, Wager.
Obtained funding: Gordon, Schubiner, Flood, Wager.
Administrative, technical, or material support: Ashar, Uipi, Knight, Anderson, Carlisle, Polisky, Kragel, Dimidjian, Lumley, Wager.
Supervision: Ashar, Gordon, Wager.
Conflict of Interest Disclosures: Dr. Ashar reports grants from the National Institutes of Health during the conduct of the study and personal fees from UnitedHealth Group, Lin Health, Inc., Pain Reprocessing Therapy Center, Inc., and Mental Health Partners of Boulder County outside the submitted work. Mr Gordon is a consultant with UnitedHealth Group, director of the Pain Psychology Center and the Pain Reprocessing Therapy Center, and the author of the book The Way Out. Dr Schubiner is the co-owner of Freedom From Chronic Pain, Inc., earns book royalties for Unlearn Your Pain, Unlearn Your Anxiety and Depression, and Hidden From View; serves as a consultant with UnitedHealth Group, Karuna Labs, and Curable Health; and receives personal fees from OVID Dx outside the submitted work. Mrs Uipi serves as a consultant for UnitedHealth Group. Dr Dimidjian reports being a co-founder of Mindful Noggin, Inc., and received royalties from Guilford Press and Wolters Kluwer as well as funding from The National Institutes of Health. Dr Lumley reports personal fees from CognifiSense, Inc., outside the submitted work. Dr. Wager reports grants from the National Institutes of Health and the Foundation for the Study of the Therapeutic Encounter, and funding to support trainees from the Radiological Society of North America and the German Research Foundation; he is on the Scientific Advisory Board of Curable Health. No other disclosures were reported.
Funding and Support: This study was funded by National Institutes of Health grants R01 DA035484 (Dr. Wager), R01 MH076136 (Dr. Wager), National Center for Advancing Translational Sciences grant TL1-TR-002386 (Dr. Ashar), Radiological Society of North America (Dr. Flood), German Research Foundation grant GE 2774/1-1 (Dr. Geuter), the Psychophysiologic Disorders Association, the Foundation for the Study of the Therapeutic Encounter, and community donations.
Role of the Funder/Sponsor: The funders had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
Data Sharing Statement: See Supplement 3.
Additional Information: Deidentified demographic and clinical outcomes data and subject-level functional magnetic resonance imaging statistical parameter maps for evoked pain and seed connectivity are provided here: https://figshare.com/s/1840dc4c0e236a7072ca
- Identification of Back Pain as a Concern: Researchers and healthcare professionals identify back pain as a common issue affecting a significant portion of the population. Back pain can have various causes, including muscular weakness, poor posture, injuries, or underlying conditions.
- Literature Review: Scientists delve into existing studies, clinical trials, and meta-analyses related to PRT and its effects on back pain. This step involves gathering information on the mechanisms of PRT, its impact on muscle strength, and its potential role in mitigating back pain.
- Hypothesis Formation: Based on the literature review and existing knowledge, researchers formulate a hypothesis that PRT can improve back pain by strengthening the muscles in the back, thereby providing better support and stability for the spine.
- Study Design: Researchers design studies to test the hypothesis. This includes defining the parameters, such as the type of PRT to be used (e.g., specific exercises, intensity, frequency), the duration of the study, the target population (age group, severity of back pain), and control groups or comparison interventions.
- Participant Recruitment: Participants meeting the defined criteria are recruited for the study. In the context of back pain, they might include individuals with chronic or acute back pain issues.
- Intervention: Participants are introduced to the PRT program. The exercises are typically tailored to strengthen the back muscles, focusing on the core, lower back, and surrounding musculature to enhance stability and support for the spine.
- Data Collection: Researchers gather data through various means, such as self-reported pain scales, functional assessments, imaging (such as MRI or X-rays), and other physical measurements to track changes in pain levels, muscle strength, and overall function.
- Analysis: Statistical analysis is performed on the collected data to determine the effectiveness of PRT in reducing back pain. This involves comparing pre- and post-intervention measurements within the PRT group and against control groups or other interventions.
- Results and Conclusion: Based on the analysis, researchers draw conclusions about the effectiveness of PRT in alleviating back pain. They discuss the significance of the findings, any limitations in the study, and potential avenues for further research.
- Publication and Peer Review: Findings are compiled into a research paper and submitted to scientific journals for publication. Before publication, the research undergoes peer review, where other experts in the field critically evaluate the methodology, results, and conclusions.
- Integration into Clinical Practice: If the results show positive outcomes, these findings can influence clinical practice, potentially leading to the inclusion of PRT as part of rehabilitation or pain management programs for individuals with back pain.