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Special Issue on Innovations and Controversies in Brain Imaging of Pain-Methods and Interpretations (Guest Editor, Karen D. Davis)

Brain mechanisms impacted by psychological therapies for pain: identifying targets for optimization of treatment effects

Cunningham, Natoshia R.a,b,*; Kashikar-Zuck, Susmitaa,b; Coghill, Robert C.a,b

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doi: 10.1097/PR9.0000000000000767
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1. Introduction

Psychological therapies are an important component in the multidisciplinary treatment of chronic pain. Cognitive behavioral therapies (CBTs) are widely used approaches that involve cognitive (eg, reducing catastrophic thinking about pain) and behavioral (eg, relaxation and behavioral activation) strategies to improve coping with pain and pain-related functioning, with some variation in the specific components of CBT across protocols. Cognitive behavioral therapy has been shown to improve functional disability and pain symptoms,46,54 self-efficacy,33,34 pain catastrophizing,33,34 and psychological functioning46,54 in individuals with chronic pain. Although the current review focuses primarily on traditional cognitive and behavioral interventions, other approaches such as mindfulness-based approaches or acceptance-commitment therapy (a variant of CBT that emphasizes acceptance and engagement in valued activities despite pain) may also be beneficial for improving pain outcomes48,69; however, it is unknown how such psychological therapies work. Psychotherapies are multifaceted, and there is even some overlap between seemingly distinct modalities such as CBT and mindfulness. In addition, psychological interventions may work through both specific (eg, reframing negative thoughts) and nonspecific (eg, reduced distress from therapist support and increased psychological flexibility) processes.11–13,20,47 A clearer mechanistic understanding of these interventions can serve as a valuable platform for refining and optimizing treatment delivery.

A small but growing number of studies in the pain field have used brain imaging to explore the effect of psychological therapies for pain, leading to new understanding of how these therapies may influence neural systems.31,62 Emerging findings have been somewhat equivocal, potentially reflecting methodologic differences between studies as well as the possibility that different psychotherapeutic treatment components may engage both distinct and overlapping brain networks. When the current literature specific to pain is examined alongside the broader literature examining the neural basis of the effect of psychotherapy for related conditions such as anxiety and depressive disorders,7,25 there is mounting evidence that successful psychotherapeutic intervention approaches may normalize aberrant brain functioning (ie, diminished regional brain hyperactivations, reduced hyperconnectivity between regions associated with symptoms, affect, and cognition).4 In this review, we also address the methodological challenges of imaging neural changes after psychological therapies for pain, and then focus on extant findings by psychotherapeutic treatment components shown to positively impact pain outcomes (Fig. 1).

Figure 1.
Figure 1.:
Brain mechanisms influenced by psychological therapies for pain. Psychological therapies for chronic pain may involve multiple components to directly target pain symptoms, such as cognitive restructuring, mindfulness, and exposure to painful stimuli, in addition to integrating treatment components to directly decrease anxiety symptoms. These differing pain treatment components may engage overlapping and partially distinct brain mechanisms, which in turn may independently regulate nociceptive processing and the experience of pain. Thus, combined therapeutic approaches hold the potential to engage multiple modulatory systems to optimize the treatment effect on pain symptoms.

2. How the brain is impacted by chronic pain

To understand pain-related brain changes associated with psychotherapy, we first describe how the brain is impacted by chronic pain. The brain is composed of multiple primary sensory and associated networks that activate and deactivate as distinct assemblies. A whole-brain wide network, conceptualized as the pain connectome, is thought to integrate cognitive, affective, and sensorimotor processes of pain.39 The effect of chronic pain on the brain is broad-ranging,14,55 affecting regions directly related to nociceptive processing (eg, thalamus, and the primary and secondary sensory cortices, insula, and midcingulate cortex), mood (eg, the pregenual anterior cingulate cortex and amygdala), and self-referential processing (eg, medial prefrontal cortex). The insula may link sensory and affective regions and amplify the pain experience.65 Chronic pain may also influence the default mode network (DMN).2,3,56 The DMN is a network of interacting brain regions, including the medial parietal (precuneus and posterior cingulate), bilateral inferior–lateral–parietal, and ventromedial frontal cortices,64 which is active when the mind is “wandering” (ie, not engaged in a specific task)56 or when engaged in self-referential thoughts about pain. The salience network (eg, the anterior insula, midcingulate cortex, temporoparietal junction, and dorsolateral prefrontal cortex [dlPFC]) is also key in its relation to the pain experience, given that this network tracks the degree to which external stimuli (such as a painful stimulus) intrinsically capture attention, and may be represented by sustained activation during attention to pain.40,59 Indeed, chronic pain has a broad-ranging impact on the brain.

Enhanced understanding of the effect of CBT and its components on brain regions/networks could help deepen the understanding of how such therapies work. However, imaging them remains challenging due to several technical considerations.

3. Technical challenges of imaging brain mechanisms underlying psychological therapies for pain

Historically, much of brain imaging has been driven by neuroscientists who use stimulus- or task-based paradigms to evoke neural activity. Accordingly, methodologies have been optimized to image shorter and shorter events. Positron emission tomography of cerebral blood flow was used first for much human imaging to make inferences about brain activity, but the temporal resolution of ∼1 minutes was cumbersome for most tasks.29 The discovery of the BOLD effect and the continued development of functional magnetic resonance imaging have enabled vastly improved temporal resolution.53 Currently, many scanners have the capability to capture whole-brain images in periods of less than 0.5 seconds. Thus, images can be acquired with sufficient speed to accurately capture the hemodynamic response curve elicited by a very brief sensory event. However, in the effort to develop faster and faster image acquisition, the technology for imaging relatively slow or steady-state phenomena (such as chronic pain) has lagged behind.

One of the major limitations of BOLD in this context of imaging psychological therapies for pain is that it fails to accurately image slow phenomena. BOLD is not a fully quantitative technique due to the influence of additional dynamic physiological parameters such as blood volume that are challenging to measure simultaneously.22 Accordingly, the BOLD signal is susceptible to drift, which is often exacerbated by nonphysiological factors such as minute subject movements and scanner heating. Finally, significant signal nonlinearities occur during stimulus/task periods exceeding ∼24 seconds.44 Many phenomena including both chronic pain itself and psychological tasks for pain control last far longer than 30 seconds, and cannot be readily turned on and off. Thus, different approaches to imaging chronic pain and pain improvement, which may be better conceptualized as steady-state phenomena, are critically needed.

The first approach to examining relatively slow phenomena such as pain is to adapt the widely available BOLD technology to examine brain activity in a fashion that still sheds light on mechanisms without the utilization of stimulus-/task-based designs. Examination of functional connectivity provides the means to accomplish this.6 In brief, functional connectivity examines correlations among multiple brain regions during a state that remains relatively stable across the course of imaging series lasting ∼5 to 12 minutes. Individual brain regions exhibit substantial fluctuations in BOLD signal over time, and correlations of these resting or spontaneous fluctuations among multiple brain regions suggest that information is being transferred. Comparisons of these correlation maps before and after treatment, or between patients and controls, thus provide insight into the underlying brain mechanisms. Unfortunately, physiological factors (such as changes in breathing, cardiac activity, and global cerebral blood flow), movement, and scanner artifacts can elicit striking correlations among regions.68 As such, the potential exists for such confounds to dramatically complicate data interpretation. For example, patients experiencing low back pain may be far more prone to move in the scanner than patients whose pain had been relieved by therapy. Accordingly, differences in patterns of correlations may emerge as artifacts of movement rather than engagement of different brain mechanisms. Multiple noise reduction techniques have been developed to address these correlations and such techniques have become widely used.5,30,58 As denoted below, functional connectivity has been the dominant tool for investigating psychological therapies for pain management.

Despite the utility of functional connectivity, imaging either resting or task-related activation offers many advantages for interpretation of mechanisms. For example, comparing resting-state data before and then after intervention will allow for a more specific determination of whether the intervention changed the engagement of brain regions/networks during relative rest. Similarly, engaging in a specific task during imaging (such as practicing a particular pain management strategy) would allow for more definitive conclusions about the specific components of the intervention that may underlie such changes.

In real life (as opposed to being in an MRI scanner), patients can engage in various tasks such as cognitive restructuring, relaxation, and mindfulness to cope with pain for extended periods of time. Brain activation underlying these sustained tasks can be imaged using arterial spin label (ASL) imaging instead of BOLD imaging. Arterial spin label emerged shortly after BOLD imaging,21 but was developed more slowly due to hardware and software limitations. However, as delineated in other studies in this issue (eg, Loggia, Zeidan), ASL provides a highly useful tool for imaging activation during relatively slow phenomena.22 It is fully quantitative and images cerebral blood flow by using magnetically tagged blood as a tracer. Accordingly, ASL can directly assess global changes in cerebral blood flow. This ability becomes particularly useful when the psychological therapy in question is associated with physiological changes that may alter global cerebral blood flow (CBF) (ie, changes in arterial pCO2 that may arise during changes in breathing). Despite these strengths, ASL suffers from a relatively poor signal-to-noise ratio. The perfusion-subtracted images that ASL generates before processing into fully quantified images of CBF are quite variable from one subtraction pair to the next. Accordingly, for reliable quantification, ASL typically requires a minimum of ∼4 minutes of data acquisition to generate one fully quantified CBF volume. Thus, the limitation of a relatively poor temporal resolution is counterbalanced by the strength of obtaining a fully quantified CBF volume when investigating sustained phenomena such as psychological modulation of pain.

4. Neural impact of psychological therapies

Given the limited nature of the psychological intervention literature as it relates to neuroimaging of pain, it is helpful to first understand how psychotherapy generally impacts neural functioning. Several recent reviews have investigated the neural basis of the effect of CBTs and related interventions for the treatment of anxiety and depressive disorders. For example, a 2016 review of 10 neuroimaging studies that examined changes after CBT for depression found that the most common treatment-associated changes involved the anterior cingulate cortex, followed by changes in the posterior cingulate, ventromedial prefrontal cortex/orbitofrontal cortex, and the amygdala/hippocampus regions.25 Furthermore, resting-state activity in the dorsal anterior cingulate cortex may be decreased by CBT for depression, which may result in increased efficiency of a “dorsal cognitive circuit” included in cognitive control and in effortful or top-down emotion regulation.

Similarly,a systematic review of 19 functional magnetic resonance imaging studies (total n = 509) to understand how CBT for anxiety disorders impacts neural functioning suggested that anxiety and related conditions are associated with an exaggerated fear network activation involving regions such as the amygdala, hippocampus, striatum, anterior cingulate cortex, and insula, and CBT may work to increase (ie, normalize) prefrontal control of subcortical structures.7 Furthermore, in studies that specifically involved symptom provocation tasks,52 or exposure-based activities,50 decreased activation in areas associated with these tasks were observed after intervention. In sum, brain regions most associated with emotion processing and emotion regulation (such as the prefrontal cortex and amygdala) may be most sensitive to change after CBT for anxiety and depression. Changes in brain regions associated with emotion regulation may also be characteristic of a positive treatment response to CBT for chronic pain.

Few studies haveexamined neural impact of specific components of CBT including biofeedback, deep breathing, and relaxation. It is plausible that the ventromedial prefrontal cortex (vmPFC) may play a critical role in these treatment strategies, given its association with autonomic regulation. Indeed, the vmPFC is associated with threat-induced changes in heart rate and skin conductance, whereas biofeedback-induced changes in skin conductance are inversely associated with activations of the ventromedial prefrontal cortex and adjacent orbitofrontal cortex.24,51,70 In addition, performance of a biofeedback relaxation task also produces increased activation of the anterior cingulate cortex, basal ganglia, primary somatosensory cortex, inferior parietal cortex, and cerebellar vermis.16,17 Similarly, progressive muscle relaxation may engage many brain regions, activating the superior frontal gyrus and inferior frontal gyrus, and deactivating the posterior cingulate cortex.37 Anatomical studies in monkeys indicate that neurons within the vmPFC, as well as all frontal motor regions, the primary somatosensory cortex, and anterior cingulate cortex, provide afferent input to the adrenal medulla.23,37 Thus, relaxation strategies may engage these brain areas to directly regulate autonomic arousal. However, given the near-total absence of neuroimaging studies in patients with pain, evidence linking brain mechanisms associated with relaxation with pain reduction is lacking—although the vmPFC represents an appealing target for investigation.

Brain mechanismssupporting cognitive reappraisal (CR; often an element of CBT programs) have been extensively investigated, and critically involve the dlPFC. In contrast to studies of relaxation, considerable research has examined brain mechanisms of CR of emotions. A meta-analysis of 48 brain imaging studies reveals that reappraisal activated brain regions involved in cognitive control such as the dlPFC and posterior parietal cortex.9 Assessments of deactivations during reappraisal (ie, identification of brain areas that were greater during baseline emotional tasks) revealed that bilateral portions of the amygdala exhibited decreased activity during reappraisal. Thus, the amygdala may represent a major target of reappraisal therapy. By contrast, the ventromedial prefrontal cortex was not altered—either positively or negatively—during reappraisal. In the case of pain, components of placebo analgesia may engage CR processes.67 Overlapping regions of the dlPFC are activated by both CR as well as placebo.67 Moreover, CBT for chronic pain is associated with increases in dlPFC gray matter volume.60

5. Conceptual challenges to consider when imaging brain mechanisms underlying psychological therapies for pain

In addition to substantial technical challenges, there are a myriad of conceptual challenges when attempting to delineate the impact of psychological therapies for pain on neural functioning. First, and foremost, CBT and related interventions represent a battery of operationally and mechanistically distinct methods for controlling pain. Does the investigator attempt to image resting brain function, functioning during a pain episode (whether real or induced), or during use of a cognitive behavioral strategy to cope with pain? If a pain coping strategy is used, should the participant be able to use the strategy or strategies he/she perceives to be the most effective or should the participant be instructed to use a single strategy? If a single strategy is chosen, is synergy among the different strategies lost, resulting in a concomitant reduction in efficacy and detectability of brain activation? If multiple strategies are chosen, can the resulting patterns of brain activation be reliably interpreted? Second, dissociating the mechanism supporting the psychological therapy from the mechanisms supporting pain may represent a further challenge. There is a considerable overlap between brain regions engaged in nociceptive processing with those engaged in cognitive modulation of pain.38,71 At a simplistic level, during and after therapy, one could anticipate reduced activation in pain-related regions while those associated with various psychological therapies which inhibit pain could exhibit increases. However, what if therapy results in reduced activity of brain regions amplifying pain? Thus, regions involved in cognitive modulation of pain would be predicted to exhibit the same posttherapeutic trend as regions associated with pain. Finally, with any cognitive task, how does the investigator know that the participant was performing the appropriate psychological therapy technique during the imaging window? Despite these many challenges, delineating the multiple brain mechanisms impacted by psychological therapy is a topic of critical importance, given the efficacy of these techniques and the absence of effective pharmacological tools for pain management.

The following sections attempt to distill brain mechanisms associated with several targets and processes of commonly used psychological approaches for the treatment of pain. It is important to note that these findings and the current conclusions drawn are a reflection of an emerging area of research. There have been very few but growing number of studies examining neural mechanisms associated with response to psychological therapies for pain. Although exploring the interventions by subcomponents is useful for distilling potentially distinct mechanisms of treatment, it should be noted that conceptually distinct strategies (ie, reframing catastrophic thinking about pain or mindfulness) may also work in similar ways to reduce pain (eg, through reducing pain catastrophizing), and as a result, there may be overlap in the neural networks/regions impacted. As previously stated, a single treatment program for pain is often multimethod in approach (ie, cognitive and behavioral strategies with mindfulness strategies in a pain-focused CBT protocol, eg) and therefore may impact multiple mechanisms.

6. Psychotherapeutic components

6.1. Reducing catastrophic thinking about pain

Identifying and changing negative appraisals and catastrophic thoughts about pain is a standard component of pain-focused CBT,66 and there is a wealth of literature to suggest that pain-related catastrophizing reduces after CBT for pain.10,34 Catastrophic thoughts are generally self-referential, negative, and may occur automatically (particularly for those with chronic pain who are prone to clinical levels of anxiety),1 and research suggests that they may be reflected by changes within the DMN.35,36 Similarly, mind wandering has been linked to DMN activity.49 Lazaridou et al.43 found that reductions in resting-state functional connectivity between primary somatosensory cortex and several DMN regions (eg, precuneus) were associated with treatment-related reductions in catastrophizing, suggesting that changes in DMN activity may be related to changes in pain-related cognition. However, a similar pattern emerged in both CBT and an educational control, potentially due to shared nonspecific therapeutic effects.12 Another study of healthy individuals undergoing pain-focused CBT showed that no significant associations between DMN activity changes and changes in pain catastrophizing occurred during either CBT or an active control.41 However, it is important to note that the latter study was conducted with healthy persons. This is important because individuals with chronic pain may exhibit altered DMN functioning from the outset. However, healthy individuals may not express the same disrupted DMN activity because such individuals are unlikely to exhibit the automatic negative thoughts that may categorize a chronic pain experience. Hence, psychological therapies in those with chronic pain reduce the tendency to ruminate on maladaptive thoughts about pain, which may in turn be reflected by the neural changes as described above.

In individuals with chronic pain, catastrophic thinking can occur constantly (including in between pain episodes for those with chronic pain conditions who experience a remittance of symptoms between flares) and also during attention-demanding activities, such as during an active pain episode. The latter example may be reflected by changes in the prefrontal and subcortical regions in the brain. However, pain catastrophizing is associated with increased activity in brain regions associated with anticipation of pain, attention, emotion, and motor control.27 Decreased pain catastrophizing after CBT was associated with increased gray matter in the left dorsolateral prefrontal and ventrolateral prefrontal cortices (associated with catastrophizing and cognitive control), right posterior parietal cortex, somatosensory cortices, and pregenual anterior cingulate cortex (regions also associated with attention and nociceptive processing) in a mixed sample of chronic pain patients compared to those who never received CBT.60 Similarly, increased activations were found in the ventrolateral prefrontal/lateral orbitofrontal cortex (regions associated with cognitive control) during a pain-induction task in patients with fibromyalgia who underwent CBT32; however, these studies all used different methodologies (only the latter used pain induction). Despite the various methodological approaches, when considered together, these findings suggest that changes in the brain after improvements in pain-related catastrophizing may involve increased activity of prefrontal and subcortical brain regions or decreased DMN activity (Fig. 1).

6.2. Increasing self-efficacy

Psychotherapies for chronic pain aim to improve self-efficacy in managing pain symptoms by training in adaptive and goal-directed coping strategies. As self-efficacy in coping with pain improves, other maladaptive thoughts and behaviors related to pain, such as pain-related catastrophizing, diminishes. Neuroimaging literature suggests that patients with chronic musculoskeletal pain who exhibited the greatest improvements in self-efficacy after CBT compared to an active control were also those with the greatest reductions between the DMN and the amygdala intrinsic functional connectivity.61 This finding is congruent with literature suggesting that increased self-efficacy, decreased catastrophic thinking, and improved mood may be concurrent outcomes associated with response to pain-focused CBT.34 Furthermore, decreased passive coping and increased self-efficacy after CBT corresponded to increased basal ganglia connectivity with the right secondary somatosensory cortex.61 It is noteworthy that the explicit goal of CBT for pain is to diminish maladaptive coping strategies (such as negative thoughts surrounding pain) and establish new habits (ie, adaptive coping behaviors) to manage pain. Interestingly, the basal ganglia have also been implicated in goal-directed behaviors and in habitual control.57 Thus, it is plausible that these connectivity changes may be related to increases in intentional (goal-directed) or automatic (habitual) use of coping strategies for pain (Fig. 1).

6.3. Targeting global anxiety

When psychotherapy for pain also targets global anxiety (beyond anxiety experienced directly as a result of pain), this may correspond to neural patterns that emerge after successful treatment for anxiety, which are characterized increased prefrontal control of subcortical structures.7 In the pain literature, improvements in symptoms of general anxiety and worry corresponded to reductions in the amygdala and the anterior cingulate cortex regions after cognitive therapy for irritable bowel syndrome.42 Furthermore, decreases in anxiety and in ventrolateral prefrontal cortex activation were found after CBT for pain, but not during an active control,61 suggesting that a reduction in anxiety may be a marker of increased cognitive control. It is possible that reducing anxiety in individuals with chronic pain may bolster the effects of psychotherapy on pain-related outcomes.

Although anxiety and chronic pain commonly co-occur and psychological therapies for pain may serve to decrease anxiety, it is noteworthy that presence of comorbid anxiety may adversely impact response to psychological therapies for pain.18,45 This may be because anxiety management is not consistently integrated into pain-focused treatments,18 although such efforts are underway.19 Again, the neural basis of psychological therapies for anxiety found that treatments may work to increase prefrontal control of structures7 such as the fear network (ie, amygdala and hippocampus), which is associated with improved cognitive appraisal of emotional response. Although additional research is needed in pain, it is possibility that neural circuitry underlying emotional processing and emotional regulation (prefrontal cortex and amygdala) may be most sensitive to change after psychological treatment for anxiety (Fig. 1).

6.4. Exposure

Exposure is traditionally considered a component of successful CBT treatment for anxiety. In the context of pain, exposure has been also used to reduce pain-related fear by promoting gradual increases in activities that may otherwise be avoided due to a real or perceived fear of experiencing pain flares. In a treatment study using elements of exposure (eg, increasing functional behavior in youth with complex regional pain syndrome through an intensive multidisciplinary rehabilitation program), decreased pain-related fear after treatment was associated with decreased hyperconnectivity between the amygdala and the motor and somatosensory cortex, cingulate, and frontal areas.63 Although the treatment approach studied was multifaceted, decreased pain-related avoidance may attenuate the connectivity between regions associated with emotion, sensory processing, and cognition (Fig. 1).

6.5. Mindfulness

Mindfulness approaches (addressed in more detail elsewhere in this issue) generally include attending to experiences in the present moment and acquiring a nonjudgmental attitude towards pain. Some of these strategies have been integrated into CBT and other psychological therapy approaches. Thus, the literature is briefly referenced here. Although not a direct goal of mindfulness, this approach may also reduce catastrophic thinking about pain.15,26 Mindfulness has been shown to be related to increased pain reduction particularly in long-term practitioners,28 and in regions associated with cognitive and emotional control.8 Zeidan et al. (in this issue) summarize multiple studies demonstrating that extensive mindfulness training (>1000 hours) for pain relief is associated with deactivation of the prefrontal cortex and greater activation of somatosensory cortices, which may suggest an ability to diminish pain-related appraisals. Extensive mediation may be considered as conceptually distinct from brief psychotherapies for pain; so, these results are not summarized further in this review.

In a study of healthy individuals undergoing brief mindfulness meditation, reduction in pain intensity during an experimental pain induction task after meditation was associated with increased activity in the anterior cingulate cortex and anterior insula, areas involved in the cognitive regulation of nociceptive processing, whereas reductions in pain unpleasantness ratings were associated with orbitofrontal cortex activation, an area implicated in reframing the contextual evaluation of sensory events.71 Zeidan et al.72 (in this issue) note that dispositional (trait) mindfulness in meditation-naive individuals is associated with lower pain and neural mechanisms related to self-referential processes, although this was not an intervention study. However, brief mindfulness training (<10 hours) for pain is associated with higher-order regulation of nociceptive neural targets such as the thalamus and primary somatosensory cortex, which may suggest an engagement of reappraisal mechanisms.71 The brief mindfulness training approach71 may be more congruent to other nonpharmacological approaches for pain management such as CBT and thus is reviewed further in Table 1. In sum, mindfulness meditation may serve to alter the pain experience through multiple brain mechanisms associated with both cognitive control and evaluation of the pain experience (Fig. 1), but additional research is needed in chronic pain populations.

Table 1
Table 1:
Studies using neuroimaging to understand the effect of psychotherapy for pain.
Table 1-a
Table 1-a:
Studies using neuroimaging to understand the effect of psychotherapy for pain.

6.6. The goal: improving pain and functioning

The aim of pain-focused psychotherapy is to improve both pain symptoms and restore daily functioning (ie, reduce pain-related disability); however, the extant literature with regards to neuroimaging has primarily focused on pain and pain-related symptoms as the main outcome of interest. For example, reductions in neural activity (using positron emission tomography) in regions associated with pain perception and self-regulation (ie, amygdala and the anterior cingulate cortex) after cognitive therapy were accompanied by significant improvements in GI symptoms for irritable bowel syndrome patients during a symptom provocation task.42 Furthermore, decreased deactivation in the right ventrolateral prefrontal cortex correlated with reductions in pain intensity and pain unpleasantness after CBT for healthy individuals compared to an active control.41 Although the relationship between neural changes and functional disability after psychological therapy for pain is generally not reported upon in imaging studies, one study that did report changes in function after CBT did not find corresponding changes in brain matter.60 This may be because functional disability is categorized by a constellation of cognitions, feelings, and behaviors, which may be more challenging to map onto specific brain regions. However, this is an area worthy of further investigation.

7. Conclusions

There are multiple technical and conceptual challenges to consider with regards to understanding neural changes after psychological therapies for pain. Different analytic approaches to consider include use of functional connectivity, or use of resting or task-related activation. Psychological therapies that improve clinical outcomes may result in changes in neural circuitry that differ depending on targets and components of treatment (summarized by the conceptual model in Fig. 1). By determining if there are indeed distinct brain mechanisms engaged by different components of psychological therapy, then therapies may be optimally tailored based on mechanistic knowledge. For example, in individuals with chronic pain and high levels of anxiety, use of traditional pain-coping strategies (reducing pain catastrophizing) in conjunction with strategies to specifically manage anxiety may engage distinct brain mechanisms (such as the amygdala and prefrontal cortex) to impact the experience of pain. It would be informative for future studies to directly test how specific elements of a psychological treatment differentially impact neural circuitry of the brain. For example, study designs that dissect the neural mechanisms supporting a positive response to different components of behavioral treatment strategies (eg, relaxation) vs cognitive techniques (eg, reframing catastrophic thoughts) are critically needed to provide mechanistically informed opportunities for tailored treatments capitalizing on synergistic interactions between different mechanisms. Furthermore, psychological therapies may work differently for different pain diagnoses, and may engage distinct mechanisms. Although this emerging area offers promising insights, interpretation is limited, given the variability in treatment designs (ie, differing psychotherapies used and inconsistent use of pain induction) and subjects (age, sex, pain diagnosis vs healthy samples) across studies.

7.1. Future directions

The examination of long-term impact of psychotherapy for pain on brain functioning is important. Using imaging tools to test conceptually driven a priori hypotheses to understand mechanisms of treatment response could be a powerful method for producing replicable findings to advance the field and allowing for a deeper understanding of how treatments for chronic pain work. This emerging research into biobehavioral mechanisms could galvanize the development of more targeted and effective treatments for individuals afflicted with chronic pain.


The authors have no conflict of interest to declare.

N.R. Cunningham is supported by the NIH/NCCIH K23AT009458 grant. S. Kashikar-Zuck is supported by the NIH/NIAMS K24 AR056687 grant. R.C. Coghill is supported by the NIH/NINDS R01 NS085391 and R01 NS101321 grants.


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Pain; Psychotherapy; Cognitive behavioral therapy; Brain; Neuroimaging; Neural

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