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Education  |   June 2018
Neuroimaging of Pain: Human Evidence and Clinical Relevance of Central Nervous System Processes and Modulation
Author Notes
  • From the Division of Pain Medicine, Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, California.
  • This article is featured in “This Month in Anesthesiology,” page 1A.
    This article is featured in “This Month in Anesthesiology,” page 1A.×
  • Submitted for publication August 7, 2017. Accepted for publication January 23, 2018.
    Submitted for publication August 7, 2017. Accepted for publication January 23, 2018.×
  • Address correspondence to Dr. Martucci: Division of Pain Medicine, Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, 1070 Arastradero Road, Suite 200, Palo Alto, California 94304. kmartucc@stanford.edu. Information on purchasing reprints may be found at www.anesthesiology.org or on the masthead page at the beginning of this issue. Anesthesiology’s articles are made freely accessible to all readers, for personal use only, 6 months from the cover date of the issue.
Article Information
Education / Review Article / Central and Peripheral Nervous Systems / Pain Medicine / Radiological and Other Imaging
Education   |   June 2018
Neuroimaging of Pain: Human Evidence and Clinical Relevance of Central Nervous System Processes and Modulation
Anesthesiology 6 2018, Vol.128, 1241-1254. doi:10.1097/ALN.0000000000002137
Anesthesiology 6 2018, Vol.128, 1241-1254. doi:10.1097/ALN.0000000000002137
Abstract

Neuroimaging research has demonstrated definitive involvement of the central nervous system in the development, maintenance, and experience of chronic pain. Structural and functional neuroimaging has helped elucidate central nervous system contributors to chronic pain in humans. Neuroimaging of pain has provided a tool for increasing our understanding of how pharmacologic and psychologic therapies improve chronic pain. To date, findings from neuroimaging pain research have benefitted clinical practice by providing clinicians with an educational framework to discuss the biopsychosocial nature of pain with patients. Future advances in neuroimaging-based therapeutics (e.g., transcranial magnetic stimulation, real-time functional magnetic resonance imaging neurofeedback) may provide additional benefits for clinical practice. In the future, with standardization and validation, brain imaging could provide objective biomarkers of chronic pain, and guide treatment for personalized pain management. Similarly, brain-based biomarkers may provide an additional predictor of perioperative prognoses.

PAIN is a highly complex and individual experience with biologic, psychologic, and social (biopsychosocial) contributions. Pain is associated with activity within the nervous system—peripheral neurons and receptors, central spinal neurons, interneurons, and receptors, as well as supraspinal components of the brainstem, midbrain, subcortical structures, and cerebral cortex. The study of pain within the central nervous system (CNS) using neuroimaging is a large and growing area of research. By noninvasively studying the CNS using neuroimaging in healthy human volunteers and individuals with chronic pain, we now understand that pain processing involves an integrated network of regions and mechanisms throughout the body. The focus of this review is to provide an update on knowledge of pain that has been acquired by neuroimaging the CNS and to highlight important contributions to the field. It is not meant to be an exhaustive or systematic review, but rather, comprehensive enough to provide the practicing anesthesiologist and pain clinician a current human neuroimaging perspective of CNS processes related to acute and chronic pain. We also include a brief description of selected neuroimaging research of pharmacologic and psychologic modulation of pain; these studies are informative regarding how pain, and its CNS correlates, can be altered (for better or for worse) by both endogenous and exogenous influences. We discuss how knowledge from the field of pain neuroimaging is relevant for informing clinical practice and for providing a framework for understanding the complex contexts of the pain experience. Finally, we discuss future directions in the use of neuroimaging-based treatments and how brain-based biomarkers may help us achieve the goal of personalized pain management.
Current Neurophysiologic Conceptual Framework of Pain
In the classic acute pain experience, noxious stimulation evokes nociceptive signals, which are transmitted to the cerebral cortex via a series of complex multimechanistic pathways (see review1 ). Receptors in the periphery (e.g., skin and body tissues) transduce mechanical, thermal, and chemical stimulation from the environment into nociceptive signals, which are relayed via peripheral primary afferents to the dorsal horn of the spinal cord. There, the primary afferents synapse onto and transmit their nociceptive signals to secondary spinal neurons, which in turn transmit nociceptive information to supraspinal regions of cortical and subcortical structures. Nociceptive information is also relayed to brainstem, midbrain, and medullary regions, which can modulate (amplify or diminish) the perception and sensation of a noxious stimulus. The perception of pain occurs by the activation of a network of connections within the cerebral cortex. Because of this, nociceptive input is not required for the perception of pain, and a painful experience can be elicited by brain stimulation directly. Furthermore, within the brain, the experience of pain is created and shaped by past experiences, context, and cognitive and emotional input.
The complex processes of the pain experience and modulation within the brain are of substantial interest to the field of pain neuroimaging. The brain and subcortical structures together serve as an organ system that can reasonably well be assessed using several noninvasive neuroimaging techniques, most commonly structural and functional magnetic resonance imaging. The importance of imaging and understanding these cortical and subcortical processes lies in that these structures are major sites for pain modulation via physiologic (different brain regions involved in modulating pain perception), psychologic, and pharmacologic (both endogenous and exogenous) modalities.
While this review focuses on a selection of neuroimaging insights about pain, we first focus our attention on two major underlying principles of the nervous system and pain processing. First, the CNS (e.g., brain, brainstem, and spinal cord) is highly plastic, meaning that it is often and easily altered by physiologic and pharmacologic processes, via both exogenous and endogenous effectors. Plasticity of the nervous system has been shown through a wide range of neuroimaging and nonneuroimaging research. For example, macroscopically, limb amputation causes regional changes in somatosensory cortex representation in such a way that suggests, “alterations of sensory processing are not hardwired, but are rather mediated by an extensive and interconnected neural network with fluctuating synaptic strengths.”2  At the other end of the spectrum, microscopically, widespread changes in neural function are associated with pruning of the dendritic spines on individual neurons (e.g., Jones and Schallert3 ) and pronounced dendritic branching occurs after sensorimotor training in rodents.4  Another important principle is that pain processing is distributed, in that it engages multiple brain regions during the pain experience.5  Individual brain regions and networks (i.e., multiple brain regions with concurrent and therefore presumed complementary function) have been demonstrated to contribute to certain aspects of pain processing (e.g., affective vs. sensory components). However, our understanding of how pain is processed by and within the CNS is still a work in progress. Ultimately, the knowledge that (1) the brain is highly plastic, and (2) pain processing encompasses distributed regions of the brain with various functions that modulate the pain experience, supports the appropriateness of multimodal, multiinterventional approaches for chronic pain prevention and ideal treatment.
CNS Processes of Acute and Chronic Pain
Introduction to Themes of “Normal” Pain-related Brain Activity.
Before discussing evidence of altered brain processes in chronic pain, we need to first discuss evidence of normal pain processes in healthy states. Hallmark studies have indicated that multiple regions of the brain are involved in sensory, affective or emotional, and evaluative aspects of pain processing in healthy individuals. These studies have used noxious and innocuous stimuli including thermal,6  mechanical (e.g., pin prick and pressure),7  chemical (e.g., capsaicin),8  electrical,9  and incisional pain paradigms10  to model the pain response within the brain. While standard tonic stimuli have been most often used to study supraspinal responses to pain, several studies have employed dynamic stimuli that evoke pain phenomena such as offset analgesia,11  conditioned pain modulation (formerly termed diffuse noxious inhibitory control),12  and temporal summation of pain.13  As repeatedly shown across many studies, the key brain regions involved in pain processing include the primary somatosensory cortex, primary motor and supplementary motor cortices, secondary somatosensory cortex, insular cortex, anterior cingulate cortex, and thalamus, as well as regions within the prefrontal and parietal cortices and regions of emotion, memory, and fear processing in the amygdala, hippocampus, and subcortical structures including the basal ganglia (fig. 1).5,6,14–16  Individual neuroimaging investigations often indicate pain-related brain activity within a subset of these structures; the differences in brain activity across different investigations may result from the inclusion of different participant populations, different stimulation parameters and modalities, differences in analysis methods, and differences in instructions for the participants, as well as differences in psychologic states of the individual subjects. It is understood that the brain regions activated during the pain experience overlap with brain regions that are activated under multiple other highly salient sensory experiences such as the presentation of visual, auditory, or innocuous somatosensory stimulation.17  Similarly, viewing others in pain (i.e., empathy of pain) engages many of the same brain regions as the actual experience of physical pain.18,19  Thus, it is important to keep this conceptual framework of salience processing in mind when evaluating the literature. However, many investigations have contributed elegant work to deduce the main brain regions activated during the pain experience and how activity within these regions contributes to the aspects of the pain experience, as described in more detail below (see “Normal Pain Processes within the Brain”).
Fig. 1.
Summary of the main supraspinal regions and their roles in pain processing. Multiple cortical and subcortical structures are involved in various primary roles and aspects of the pain experience (as color-coded). Additional brain regions and networks not shown in the figure are involved in the pain experience (see “Normal Pain Processes within the Brain”). ACC = anterior cingulate cortex; Amg = amygdala; Cd = caudate; Hi = hippocampus; Ins = insular cortex; LC = locus coeruleus; M1 = primary motor cortex; NAc = nucleus accumbens; PAG = periacqueductal gray; PFC = prefrontal cortex; Pu = putamen; RVM = rostral ventral medulla; S1 = primary somatosensory cortex; S2 = secondary somatosensory cortex; SMA = supplementary motor area; Th = thalamus; TPJ = temporal-parietal junction.
Summary of the main supraspinal regions and their roles in pain processing. Multiple cortical and subcortical structures are involved in various primary roles and aspects of the pain experience (as color-coded). Additional brain regions and networks not shown in the figure are involved in the pain experience (see “Normal Pain Processes within the Brain”). ACC = anterior cingulate cortex; Amg = amygdala; Cd = caudate; Hi = hippocampus; Ins = insular cortex; LC = locus coeruleus; M1 = primary motor cortex; NAc = nucleus accumbens; PAG = periacqueductal gray; PFC = prefrontal cortex; Pu = putamen; RVM = rostral ventral medulla; S1 = primary somatosensory cortex; S2 = secondary somatosensory cortex; SMA = supplementary motor area; Th = thalamus; TPJ = temporal-parietal junction.
Fig. 1.
Summary of the main supraspinal regions and their roles in pain processing. Multiple cortical and subcortical structures are involved in various primary roles and aspects of the pain experience (as color-coded). Additional brain regions and networks not shown in the figure are involved in the pain experience (see “Normal Pain Processes within the Brain”). ACC = anterior cingulate cortex; Amg = amygdala; Cd = caudate; Hi = hippocampus; Ins = insular cortex; LC = locus coeruleus; M1 = primary motor cortex; NAc = nucleus accumbens; PAG = periacqueductal gray; PFC = prefrontal cortex; Pu = putamen; RVM = rostral ventral medulla; S1 = primary somatosensory cortex; S2 = secondary somatosensory cortex; SMA = supplementary motor area; Th = thalamus; TPJ = temporal-parietal junction.
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Normal Pain Processes within the Brain.
Brain regions receiving direct projections from spinal nociceptive neurons and processing the sensory-discriminative aspects of pain include the primary somatosensory cortex, posterior insular cortex, and thalamus. Within the thalamus, nociceptive inputs are modulated and then transmitted to cortical and subcortical structures.20  The primary somatosensory cortex and posterior insular cortex are two brain regions that encode the intensity of painful stimuli, i.e., these regions increase activity in a graded fashion that corresponds to the intensity of the stimulus presented.21  The affective dimension of pain is related to perceptive and context dependent pain processes within the brain. Classic brain regions associated with the affective dimension of pain processing include the secondary somatosensory cortex and anterior insular cortex. Activation measured within these regions corresponds to the levels of unpleasantness and context-dependent influences of the pain experience.22  Cognitive modulation of the pain experience is thought to be driven largely by regions within the prefrontal cortex (e.g., anterior cingulate cortex, ventromedial prefrontal cortex, dorsolateral prefrontal cortex) as noted in many studies of placebo and nocebo effects,23  controllable versus uncontrollable pain states,24  reward induced by romantic love,25  attentional distraction,26  and real-time neuroimaging biofeedback.27  The motor and supplementary motor cortices are involved in pain processing and may be related to the motivational or escape aspects related to the pain experience.28  Regions involved in fear, anxiety,29  and memory processing including the amygdala and hippocampus have also been noted to play a role in the pain experience.30  Subcortical structures within the basal ganglia may be involved in the intensity discrimination, motor response, and motivational aspects of pain.31  Brainstem, midbrain, and medullary regions including the midbrain periaqueductal gray, locus coeruleus, and rostral ventral medulla are involved in the descending modulation of pain, thus exerting both inhibitory and facilitatory effects on spinal circuits.32,33 
Experimentally-induced Abnormal Pain Processes within the Brain.
While brain processes involved in the pain experience can be studied under healthy states, experimentally induced perturbation of pain circuits can produce temporary hyperalgesia and allodynia, thus creating human models of the symptoms typically experienced in clinical pain states. The use of topical capsaicin creams, which contain the active ingredient in hot chili peppers, activates transient receptor potential cation channel subfamily V member 1 (i.e., “TrpV1”) receptors in the skin and can be used to induce a state of experimental or acute central sensitization. The classic capsaicin-heat sensitization model34  induces temporary experimental allodynia (i.e., perception of a normally innocuous stimulus as painful) and hyperalgesia (i.e., perception of a normally noxious stimulus as more painful than normal) that can be prolonged as necessary and then diminishes soon after the completion of the study procedures. Capsaicin-induced allodynia and hyperalgesia typically result in increased activation of pain-related brain regions including the somatosensory, prefrontal, insular, and parietal cortices.35  Other studies using capsaicin application in healthy volunteers have identified altered brainstem activation36  and changes distributed throughout the cortex that are consistent with increased pain and increased activation of countering endogenous analgesic circuit activation (e.g., descending control).37  Induction of hypersensitivity can also be used to contrast normal versus hypersensitive states of mechanical and thermal stimulation, indicating that each type of noxious stimulation produces a distinct signature of activations within the brain, and further distinct changes within these activations during induced hyperalgesic states.8  Studies investigating altered brainstem activation after induction of experimental hyperalgesia36  and altered spinal cord activity by nocebo hyperalgesia effects38  further implicate the importance of potential noncortical contributions to human chronic pain symptoms.
CNS Alterations in Chronic Pain
Neuroimaging of chronic pain relies on the same fundamental principles as neuroimaging of acute pain; however, clear differences exist (table 1). In particular, the majority of neuroimaging investigations of chronic pain rely on group comparisons between patients with chronic pain and healthy volunteers. A large body of evidence of altered CNS structure and function in chronic pain now exists, and below we summarize some of the most notable findings.
Table 1.
Neuroimaging of Acute versus Chronic Pain
Neuroimaging of Acute versus Chronic Pain×
Neuroimaging of Acute versus Chronic Pain
Table 1.
Neuroimaging of Acute versus Chronic Pain
Neuroimaging of Acute versus Chronic Pain×
×
Altered Brain Structure in Chronic Pain States.
Considering that pain processing is distributed across multiple brain regions, and may be, in part, dependent on processes in the brainstem and spinal cord, it is not surprising that studies of CNS activity among individuals with chronic pain have identified alterations within multiple regions and levels of the nervous system. Structural brain differences in gray matter density, gray matter volume, and cortical thickness between patients with chronic pain and healthy volunteers have been noted in many types of chronic pain including chronic low back pain,39,40  fibromyalgia,41  complex regional pain syndrome,42  chronic pelvic pain syndromes,43,44  and temporomandibular pain,45,46  among others. Additionally, regional gray matter changes have been shown to reverse, coinciding with effective treatment in patients with chronic low back pain.47  These observations suggest that there is underlying structural plasticity and changes of the brain’s cellular composition in individuals who experience chronic pain.
The specific underlying physiologic changes contributing to the observed differences in gray matter remain in question. Decreases in regional gray matter in chronic pain have been thought to suggest more rapid aging of the brain in chronic pain48,49 ; however, this explanation has been debated because regional gray matter increases have also been observed in chronic pain and do not follow logically with the aging explanation. Neuroimaging researchers have speculated that increases and decreases in gray matter may be due to changes in gray matter microstructure (e.g., changes in the number of dendritic spines and connections), and the prevalence of glial and other supporting and neuroimmune cells within brain regions, among other possible mechanisms (see review50 ). A recent study in patients with fibromyalgia revealed evidence suggesting that regional gray matter decreases are due to decreased tissue water content, and regional gray matter increases are due to increased neuronal matter and possibly inflammation.51  However, these findings need to be further validated in other types of chronic pain and disease, and by additional complementary measures. Nonetheless, observed differences in brain structure in chronic pain implicate altered function within the CNS in patients; however, additional research investigating the underlying causes of observed differences in gray matter in chronic pain is needed.
Measurements of white matter, or axonal fiber pathways, within the brain have also provided evidence about how the brain structure and its underlying processes are altered in chronic pain. As compared with healthy states, chronic pain states of fibromyalgia,52  chronic pelvic pain,53  chronic low back pain,54  complex regional pain syndrome,55  and visceral pain syndromes56  have been identified as demonstrating differences in white matter integrity. The majority of these studies used a method of diffusion tensor imaging that uses properties of water molecule movement in axons to determine measure of integrity of the axon (i.e., more movement and coherence along the main direction of the axon equals better integrity of the axon fiber). Differences in the degree of fractional anisotropy, a measurement of coherence along a bundle of axon fibers, have been identified in regions of white matter, indicating differences in structural connectivity between brain regions in individuals with chronic pain. For example, a study comparing white matter axonal integrity among patients with chronic pelvic pain, patients with irritable bowel syndrome, and healthy controls identified increased fractional anisotropy within the corticospinal tract in patients with chronic pelvic pain and decreased fractional anisotropy within the thalamic radiation in patients with irritable bowel syndrome.57  These observations were correlated with symptoms of pain severity and therefore implicate changes in axonal microstructure that may be specific to these two types of chronic visceral pain. Patients with migraine, as compared with healthy controls, have been found to have lower fractional anisotropy in axon bundles within the corpus callosum, suggesting regional degeneration of axonal connections in this population.58  In these and other chronic pain conditions, the identification of regional increases and decreases in the structural integrity of white matter tract connections suggests underlying enhancements and disruptions, respectively, of neural communication between the regions to which the tracts connect.
Altered Brain Function in Chronic Pain States.
Neuroimaging techniques have been used to study brain functional differences in chronic pain versus healthy states. Neuroimaging studies have used functional magnetic resonance imaging extensively to study pain processing. functional magnetic resonance imaging relies on a correlate of activity due to differences in the magnetic properties of oxygenated and deoxygenated blood, known as the blood oxygenation dependent level signal. Several studies have investigated differences in perception of noxious stimulation in patients with chronic pain while undergoing functional magnetic resonance imaging scans. Examples of such studies include combining functional magnetic resonance imaging with the use of tests of temporal summation of heat pain in fibromyalgia,59  tests of heat pain sensitivity in complex regional pain syndrome60  and chronic low back pain,61  and tests of mechanical sensitivity in chronic low back pain62  and fibromyalgia.63,64  Visceral pain studies have identified differences in brain activity associated with pain during bladder filling,65  and in response to rectal distension in patients with irritable bowel syndrome.66  Interesting neuroimaging observations of altered brain activity within the contralateral and ipsilateral regions of the brain in patients with neuropathic pain indicate that altered peripheral afferent (incoming) information produces dramatic shifts in representation within the brain.67  Collectively, these investigations point toward heightened responsivity of the CNS to afferent noxious and innocuous stimuli in chronic pain.
With the emergence of resting state functional magnetic resonance imaging as a technique for studying nonevoked brain activity and functional connectivity, many investigations of chronic pain have used this technique to gain understanding of brain processes more generally, as opposed to specifically related to noxious stimuli, in chronic pain. Resting state activity is based on established principles68  identifying correlated low frequency (0.01 to 0.1 Hz) fluctuations of functional magnetic resonance imaging signals (blood oxygenation dependent level activity) across brain regions. These principles allow for the parcellation, or subgrouping, of brain functional magnetic resonance imaging data into functional networks of regions that appear to “work together,” operating and contributing to related functions. Functional connectivity is the degree of correlated activity, based on the blood oxygenation dependent level signal, among and between brain regions and networks. Based on these principles, several studies have used resting state functional magnetic resonance imaging to characterize differences in nonevoked (i.e., resting) brain activity among patients with chronic low back pain,69  fibromyalgia,70  chronic pelvic pain syndromes,71  complex regional pain syndrome,72  and others. Several resting state studies of chronic pain have identified alterations in default mode network connectivity, a network of brain regions including the precuneus, posterior cingulate cortex, medial prefrontal cortex, and angular gyrus. The default mode network is more active at rest, suggesting that this network might be in a continuous hyperactive state in chronic pain73  and possibly that regions of this network are hyperinvolved with pain-related processes ongoing in the brain.71  Other studies have focused on more regional connectivity differences specifically within brain regions involved in motor and sensory processes,65,74  emotion and fear processing,75  reward and motivation,76  and cognitive processes,77  as well as alterations in brainstem functional connectivity.78 
Additional neuroimaging techniques of nuclear magnetic resonance spectroscopy and positron emission tomography allow for identification of altered neurotransmitter/neuromodulator function within regions of the brain in individuals with chronic pain. Such studies have used positron emission tomography imaging to detect decreased dopamine activity in fibromyalgia79,80  and decreased opioid receptor binding potential in fibromyalgia.81  Widespread differences in measured metabolite and neurotransmitter function, including N-acetylaspartate and glutamate, have been identified in in chronic low back pain using proton magnetic resonance spectroscopy (see review82 ). Similarly, reduced N-acetylaspartate concentrations in the prefrontal cortex have been observed in patients with complex regional pain syndrome.83  Altered N-acetylaspartate observed in regions such as the prefrontal cortex and somatosensory cortex of patients with chronic pain suggests possible degradation of receptors within these brain regions. In fibromyalgia patients, increased glutamate within the posterior insular cortex, a region implicated in the sensory-discriminative dimension of pain processing (e.g., pain intensity), is correlated with levels of pain sensitivity,84  and concentrations of insular cortex glutamate covary with levels of pain measured before and after effective treatment.85  Collectively, such observed differences in metabolite and neurotransmitter function in patients with chronic pain complement structural and functional magnetic resonance imaging evidence in chronic pain.
Combining Neuroimaging with Immunology and Genetics for the Study of Chronic Pain.
Neuroimaging technology can now identify immune changes within the CNS (see review86 ). Positron emission tomography imaging combined with a radioligand specific for detecting glial cell reactivity has identified increased glial reactivity within multiple brain regions, including somatosensory cortex and thalamus, in patients with chronic low back pain, as compared with healthy control subjects.87  By combining neuroimaging and genetics data, subgroups of chronic pain states are starting to be identified based on their genetic and regional brain activity profiles. For example, in a study of women with primary dysmenorrhea, individuals with the G allele OPRM1 A118G polymorphism demonstrated decreased functional connectivity between the anterior cingulate cortex and periaqueductal gray, regions involved in descending modulation of pain.88  As these types of studies continue to be performed, they will continue to advance our understanding of the links between neural processes, immune states, and genetic profiles.
Longitudinal and Multimodal Neuroimaging Investigations of the CNS in Chronic Pain.
To date, the majority of chronic main neuroimaging investigations are not longitudinal studies. Therefore, it cannot be determined whether observed differences in brain structure and function are preexisting to the chronic pain condition, suggesting an underlying predisposition to acquire a chronic pain condition, or whether these differences were caused by or are the direct cause of the chronic pain condition itself. This issue represents one of the main limitations of neuroimaging, and a summary of additional limitations and benefits of neuroimaging methods for chronic pain is provided in table 2. Nonetheless, a few longitudinal studies exist, and these studies suggest that the changes in brain structure and function are linked to the presence and ongoing burden of the chronic pain condition and mirror the compounding effects of negative social and emotional factors over time.89,91 
Table 2.
Neuroimaging Benefits and Limitations
Neuroimaging Benefits and Limitations×
Neuroimaging Benefits and Limitations
Table 2.
Neuroimaging Benefits and Limitations
Neuroimaging Benefits and Limitations×
×
Additional insightful research findings are now emerging from the use of multimodal imaging. Multimodal imaging combines the use of multiple types of neuroimaging data with the goal of identifying complementary structural and functional brain alterations. The degree of overlap between differences identified by each modality can enhance the certainty of validity and meaningfulness of the brain alterations identified. For example, complementary brain structural alterations of gray matter density and white matter axonal integrity have been identified in patients with complex regional pain syndrome within regions of the insular cortex, prefrontal cortex, and basal ganglia.55  Similar multimodal studies have been conducted in fibromyalgia52,92  as well. As an example of complementary functional and structural brain alterations, differences in resting state functional connectivity and white matter axonal integrity, centered around regions within the insular and prefrontal cortex, appear to underlie disrupted cognitive processes in patients with chronic low back pain.54  These findings demonstrate how complementary regional alterations in brain structure and function provide a more complete picture for understanding how the CNS is altered in chronic pain.
Neuroimaging Pharmacologic and Psychologic Modulation of Pain Processing
In addition to measuring brain structural and functional differences in patients with chronic pain, neuroimaging is a tool that can increase our understanding of how medications alter CNS activity in response to pain (acute or chronic). One goal of neuroimaging neuropharmacologic research is to clarify how medications work to reduce the sensory and affective impact of chronic pain and comorbid symptoms including anxiety and depression. Currently, the global and regional impacts on CNS by medications used to treat chronic pain are generally unknown. Furthermore, medications are prescribed by clinicians for individual patients primarily in a trial-and-error fashion.93  Pharmacologic studies using neuroimaging can allow for elucidation of the mechanisms of action of medications that will guide development of future treatments. For example, reduced activity within the medial prefrontal cortex, a region involved in cognitive control of pain, has been shown to mediate decreases in mechanical pinprick hyperalgesia after systemic administration of lidocaine in healthy individuals.94  While our knowledge of CNS mechanisms of antinociception is still incomplete, advances in research combining clinical trials and neuroimaging may someday provide data to inform clinical practice. For example, neuroimaging may help to predict which patients may benefit more from a specific medication or therapy, thereby achieving the ultimate goal of personalized medicine. This has recently been demonstrated95  in the treatment of depression, where amygdala activity combined with knowledge of early life stress was able to predict treatment response to an antidepressant with greater than 80% accuracy.
Recent neuroimaging research has shown that opioid medications produce widespread and rapid alterations in brain structure and function. In patients with chronic low back pain, structural brain changes occur rapidly, within 1 month of taking opioid medications. These changes include regional increases and decreases in gray matter density, which are slow to be reversed after discontinuing opioids (no changes observed at 6 months postopioid cessation).96,97  Another study of pain-free individuals taking opioid medications demonstrated structural and functional differences across the brain as compared with pain-free individuals not taking opioids.98  While the specific neurophysiologic mechanisms underlying these opioid-induced brain changes are unknown, the consequences are of considerable interest and therefore call for further study.
Neural correlates of antinociception by antidepressants have been investigated using functional magnetic resonance imaging in patients with chronic pain. Analgesic effects of the serotonin norepinephrine reuptake inhibitor milnacipran in fibromyalgia may be due to reversal of altered default mode network activity as evidenced by increased posterior cingulate cortex (a core region of the default mode network) activation observed in patient responders.99  Another study of milnacipran in fibromyalgia identified reduced functional connectivity between antinociceptive brain regions of the anterior cingulate cortex and periaqueductal gray, both regions of pain modulation, to the insular cortex, a region involved in both sensory and affective processes of pain.100  Notably, decreases in the functional connectivity between these regions in patients with fibromyalgia were related to reductions in pain after administration of milnacipran. More recently, a study using magnetic resonance spectroscopy identified ventricular lactate as a putative biomarker for milnacipran efficacy in fibromyalgia and thereby suggested that drug effects may occur by reducing glial reactivity and neuroinflammation within the CNS.101  A study of brain activity changes associated with antinociceptive properties of the tricyclic antidepressant amitriptyline indicated that this treatment acts on reducing activity within the anterior cingulate cortex to reduce pain during a stressful experience of rectal distension in individuals with irritable bowel syndrome.102 
The brain mechanisms by which anticonvulsants, such as gabapentin and pregabalin, may be beneficial for treatment of chronic pain have also been studied. Gabapentin has been shown to increase cortical neurotransmitter concentrations of γ-aminobutyric acid, but not glutamate, within the brain’s occipital lobe after 1 month of treatment.103  Research conducted in healthy volunteers has shown that a single oral dose of gabapentin, as compared with ibuprofen, reduced experimentally induced secondary hypersensitivity (increased sensitivity to mechanical stimulation surrounding the directly sensitized skin) and partially reversed sensitization-induced increases in functional connectivity between pain-associated regions of the insular cortex, thalamus, and somatosensory cortex.104  In patients with fibromyalgia, pregabalin has been shown to reduce glutamatergic activity within the posterior insula, a key brain region involved in processes of pain.105  Additionally, this study demonstrated that pregabalin administration reduced aberrant increased functional connectivity between the insula and default mode network brain regions. These changes were correlated with efficacy of pregabalin among the patients, and baseline neuroimaging measurements were predictive of responders and nonresponders. Neuroimaging has even been used to identify changes in brain function before and after treatment with ketamine for complex regional pain syndrome, further implicating the highly plastic nature of the brain in response to therapy.106 
Neuroimaging additionally provides a method for investigating neural correlates of effective psychologic therapies. Chronic pain often presents with patients having deficits in cognitive and emotional control particularly relating to their experience of pain (see review107 ). Effective psychologic therapies for pain strengthen practices of healthy psychology, thereby reducing the negative impact of chronic pain. Such therapies include cognitive behavioral therapy, acceptance and commitment therapy, mindfulness-based stress reduction, and mindfulness meditation. These types of treatments can benefit individuals suffering from chronic pain by reducing negative emotional, cognitive, and behavioral responses to pain and thereby improving pain-related outcomes.108  Neurophysiologically, psychologic-based therapies including cognitive behavioral therapy and acceptance and commitment therapy reduce an individual’s perceived severity of chronic pain via increased prefrontal cortex activity. Increased prefrontal cortex activity after cognitive behavioral therapy and acceptance and commitment therapy treatment implicate enhanced cognitive control of one’s psychology109  in agreement with previous proposed neurologic correlates of pain control.110  Mindfulness-based stress reduction and mindfulness meditation are somewhat similar in practice and may therefore exert positive effects on the chronic pain experience via similar neurophysiologic processes. Meditation reduces pain and decreases activity within the prefrontal cortex,111,112  and may assist in reducing the affective component of the pain experience by decreasing maladaptive cognitive processes of rumination and catastrophizing. Mindfulness meditation induces analgesia by recruiting increased activity within the anterior cingulate cortex and the anterior insula, additional regions involved in the cognitive regulation of pain.113  Positive expectations and beliefs, underlying placebo effects, are powerful psychologic modulators of the pain experience and involve similar brain regions involving cognitive control of pain.23,114  Neuroimaging research in these areas continues to determine how psychology interacts with the pain experience, and may in the future aid in optimizing psychology-based therapies for individuals with chronic pain.
Clinical Relevance for Prevention and Treatment of Chronic Pain: Neuroimaging-based Implications and Therapies
Understanding how neurophysiology is altered in chronic pain and how it can be changed through effective treatment of pain in itself provides an intriguing set of questions. However, the main purpose for understanding these neurophysiologic changes is to better treat patients suffering from chronic pain. Neuroimaging of acute and chronic pain has provided the field of pain research and clinicians with an important framework of understanding: that even though no bodily signs of injury or dysfunction may be observed in the patients, neurologic differences have been observed in brain structure and function in patients across a wide variety of chronic pain conditions as compared with healthy individuals. These observations provided by neuroimaging research together provide strong evidence that the effective prevention and effective treatment of chronic pain must include considerations of cortical and subcortical CNS processes.
Just as pre- and perioperative best practices are suggested to reduce the instance of postoperative pain—for example, local anesthetics before limb amputation115  or the use of gabapentin perioperatively116 —clinical research aims to identify best practices for nonperioperative pain prevention and treatment. These best practices as informed by preclinical research, clinical research, clinical trials, and neuroimaging research include a multimodal approach of prevention and therapy. Typical approaches to treating pain include pharmacologic, procedural, psychologic, physical therapy, complementary and alternative medicine, and self-management. The comprehensive multimodal approach utilizes (1) physiologic treatment and positive stimulation of the peripheral nervous system and musculature, (2) psychologic treatment to engage healthy cognitive and emotional processes in the presence of chronic pain, (3) pharmacologic therapies to prevent and/or reverse aberrant activity within the CNS, and (4) alternative and complementary treatments and therapies as deemed beneficial for the patient. With even broader treatment implications, neuroimaging research of chronic pain has provided evidence for clinical treatment considerations of immunologic dysfunction within the CNS, as described above (see “Combining Neuroimaging with Immunology and Genetics for the Study of Chronic Pain”).87  Such neuroimaging-based evidence further encourages increased communication between pain clinicians and medical specialists from other fields, including psychology, immunology, and nutrition. Ultimately, with this multimodal treatment approach, it is important to consider the evidence of cortical and CNS alteration and dysfunction in treatment selection approaches.
Thus far, the primary influence of pain neuroimaging on clinical practice appears to be through changing the conversation regarding pain. Neuroimaging technologies have broadened the current understanding of acute and chronic pain processes in humans, and thus have allowed for new considerations and conversations between clinicians and their patients. Probably the most influential aspect of neuroimaging enhancing the conversation of pain, for patients and clinicians, is the now vast amount of neuroimaging evidence supporting structural and functional CNS alterations in patients with chronic pain.
While many people with chronic pain present with pain that is disproportionate to any physiologic manifestation of injury in the body, neuroimaging evidence indicates that the CNS is altered in these patients. Clinicians can use neuroimaging evidence as grounds for talking points with their patients in conversations that scientifically validate the patients’ pain as being real. Further, these types of conversations provide the patients with an, albeit still currently incomplete, understanding of why they may be experiencing chronic pain—because their CNS is altered such that it is creating an aberrant experience of pain within the brain and/or disproportionately responding to incoming sensory information. Thus, neuroimaging research in the field of pain has provided a context of brain and CNS physiology for understanding and discussing chronic pain symptoms in patients. In addition to providing talking points for clinicians to patients, neuroimaging evidence has provided grounds for education of medical professionals, patients, researchers, and the general population that chronic pain affects multiple systems including the CNS. Therefore, in light of this understanding, it follows that effective treatment strategies for chronic pain need to be comprehensive. Treatment should consist of therapeutic approaches targeted at multiple systems including psychologic, physiologic, and pharmacologic therapies, combining therapeutics from conventional and alternative medicine.
Neuroimaging of noxious stimulation in healthy volunteers and patients with chronic pain has provided a helpful framework for thinking about chronic pain and talking about pain with patients, clinicians, neuroscientists, and the public. Further, it has provided methods for increased understanding of drug mechanisms acting centrally, and the associated changes in brain structure and function that occur in response to pharmacologic therapies. Neuroimaging studies have also provided evidence for how psychologic and behavioral therapies are associated with changes in brain structure and function; this evidence aids us in understanding how these therapies proactively modulate the pain experience, and supports their usefulness and credibility as valuable complementary therapeutics.
Regarding actual changes in clinical practice via advanced therapeutics, neuroimaging-based therapies for pain are currently being used in clinical trials and clinical practice, as adjunct treatments where available. However, these therapies are still being used on a somewhat experimental basis. Neuroimaging-based therapies including transcranial direct current stimulation,117,118  transcranial magnetic stimulation,119,120  deep brain stimulation,121  and real-time functional magnetic resonance imaging neurofeedback27,122  are under evaluation in ongoing clinical trials. Advancements of these technologies by supplementation of additional neuroimaging-based technologies, specification of ideal parameters, identification of novel and effective target brain regions, and individual patient predictors of success (such as differences in brain connectivity identified using neuroimaging) may lead to enhanced efficacy of neuroimaging-based therapies for individual patients in the not so distant future.
Current Prospects and Advancements in Neuroimaging of Pain
Newer areas of neuroimaging for chronic pain research involve identifying brain-based biomarkers for prediction of who will develop pain after surgery, patient prognosis, and aid in treatment selection for individual patients. Predictive signatures, or patterns of brain activity and structural differences, and clinical phenotypes of chronic pain are emerging through continued research in these areas. Eventually these brain signatures and clinical phenotypes may provide more specific predictive and prognostic measures to allow for improved risk assessment and advice (in particular for patients undergoing elective surgeries), as well as personalized treatment for unique chronic pain subgroups, possibly ultimately on an individual patient basis (see review123 ). As one example of predictive research findings in progress, greater levels of correlated activity between the medial prefrontal cortex and the ventral striatum, a subcortical brain region involved in motivation and value processes, predicted worse outcomes (i.e., lower propensity for recovery) in patients with low back pain.124  Thus, neuroimaging signatures may provide an additional data point to complement classic phenotypical predictors of outcome (e.g., age, sex, psychologic status). A pain signature, distributed pattern of brain regions and specific activity levels within those regions, that is specific to acute heat pain sensitivity has been identified.6,125  Such pain brain signatures may lead to enhanced predictive patterns of chronic pain patient subtypes in the future. In fact, researchers have recently identified a pain signature for pressure and multisensory sensitivity in fibromyalgia.126  These studies and others43,127  have used multivariate methods for analyzing neuroimaging data. Multivariate methods allow for the identification of these preliminary signature patterns of brain structure and function in patients with chronic pain. Researchers are currently using multivariate methods operating on the premise that these methods are statistically better suited to identify patterns from neuroimaging data sets that contain approximately 200,000 voxels (three-dimensional pixels) per subject. Furthermore, multivariate methods provide output measures of classification accuracy, sensitivity, specificity, and negative and positive predictive value. One major caveat, however, is that analyses using multivariate methods, similar to most neuroimaging analyses, still require groups of chronic pain patients and healthy volunteers for comparison. Further, acute pain and chronic pain signatures from these analyses are currently in the very preliminary research phase and are largely exploratory, and the signature patterns identified will require numerous iterations of improvement and validation before there is any glimpse of practical and reliable clinical application. Critically important medicolegal concerns surrounding the topic of brain biomarkers for chronic pain have been recently described in excellent detail in another review article.128 
Other advancements in the field of pain neuroimaging include the use of combined neuroimaging modalities, large-scale multisite investigations, meta-analytic research, and spinal cord functional magnetic resonance imaging. Neuroimaging researchers are now more frequently using analysis methods that combine neuroimaging modalities to understand chronic pain. One such investigation has recently used combined positron emission tomography imaging and functional magnetic resonance imaging to identify reduced µ-opioid receptor availability and decreased pain-evoked blood oxygenation dependent level activity in antinociceptive regions, such as the dorsolateral prefrontal cortex and anterior cingulate cortex, in individuals with fibromyalgia.129  Neuroimaging of pain is also being included as a major component of large-scale multisite investigations focused on understanding idiopathic chronic pain conditions such as urologic chronic pelvic pain (i.e., interstitial cystitis, chronic prostatitis, and bladder pain syndrome).130  Such neuroimaging investigations have identified changes among chronic pelvic pain patient data, collected and analyzed across multiple sites, that indicate dysfunctional resting state default mode connectivity71 ; increased gray matter density within the pelvic somatosensory cortex43,44 ; increased functional connectivity of the pelvic motor cortex to the posterior insula, a region involved in processing intensity or salience of pain74 ; and changes in white matter axon diffusivity.57  These types of collaborative multisite investigations are also allowing for longitudinal investigations that have shown changes in brain activity that track symptom profiles (improved and worsening symptoms) over time.131  Meta-analyses of neuroimaging data are another useful tool becoming more prominently used to collectively reanalyze neuroimaging data from multiple previously published neuroimaging investigations (e.g., Tanasescu et al.132 ). Meta-analytic studies are beneficial for identifying the most reproducible, and therefore more reliable, results from neuroimaging analyses of chronic pain populations. For example, one meta-analysis has determined that brain regions, including the dorsal anterior cingulate cortex, anterior insular cortex, and dorsal medial thalamus, are commonly activated during tasks related to pain perception, innocuous stimulation, emotion, memory, and introspection across multiple studies, suggesting that these brain regions are responsible for the processing and integration of salient information.133  Spinal cord imaging is emerging as a field of neuroimaging research complementary to brain and brainstem imaging, due to technologic advancements in functional magnetic resonance imaging data collection and analysis.134–136  Recent early investigations in spinal cord functional magnetic resonance imaging have provided additional evidence of descending modulatory control of pain,137,138  as well as changes in spinal cord and brainstem activity in healthy humans after central sensitization,36  and in individuals with chronic pain.139  These findings are generally complementary to results from brain neuroimaging research, specifically, with greater stimulus-induced activation within the spinal cord being correlated with increased pain sensitivity. Ultimately, further advancements in these areas of promise, and others, will continue to contribute to the wealth of knowledge gained thus far by the neuroimaging of pain in healthy and clinical states.
Summary
The field of neuroimaging of pain has grown tremendously during the last few decades. Numerous studies have now combined sensory and behavioral testing with functional magnetic resonance imaging technology. Together, these studies have greatly increased our understanding of how pain is processed within the human CNS. The advance of resting state functional magnetic resonance imaging technology has opened many opportunities to study functional brain activity and connectivity (i.e., the degree of correlated activity among brain regions) in patients with chronic pain. Neuroimaging has advanced the current understanding of the CNS’s role in chronic pain in humans, in particular, by demonstrating (1) that the CNS processes appear to be altered in patients with chronic pain, and (2) that there are multiple circuits involved in modulation of the pain experience, and these circuits may also be altered (i.e., hyper- or hypoactive) in patients with chronic pain. Neuroimaging research has provided evidence for how modulation of the pain experience can occur by pharmacologic, psychologic, and physiologic changes within the CNS and body via exogenous and endogenous processes. Importantly, although neuroimaging in humans is a convenient method of studying chronic pain and pain processing in general, it is limited in value in characterizing mechanisms on a microscopic scale such as with neurophysiologic in vivo and in vitro preparations regarding pharmacologic manipulations and intercellular recording. The marrying of neuroimaging discoveries and those from animal models will continue to provide a more complete picture of pain through translational research. While researchers are searching for useful neuroimaging-based biomarkers for acute pain sensitivity and chronic pain predictors and prognostics, such biomarkers will need significant amounts of validation and tests for clinical utility before any potential use in clinical practice. Currently, neuroimaging-based methods of transcranial direct current stimulation, transcranial magnetic stimulation, deep brain stimulation, and real-time functional magnetic resonance imaging neurofeedback are being assessed for efficacy and optimization in clinical trials and may become a more prevalent modality of adjunct therapy for chronic pain in the near future. To date, however, the greatest influence of the research field of pain neuroimaging on clinical practice has been to validate the role of the CNS in chronic pain, thereby improving conversations between researchers, medical professionals, clinicians, patients, and society.
Acknowledgments
We thank Elizabeth “Lisa” Cha, undergraduate student at the University of Rochester, Rochester, New York, who worked at Stanford University, Palo Alto, California, as a summer research assistant with Dr. Martucci, for her assistance in the design, creation, and editing of the figure in this review article.
Research Support
Supported by grant K99 DA 040154 (to Dr. Martucci) and K24 DA 029262 (to Dr. Mackey) from the National Institute on Drug Abuse (Bethesda, Maryland), and grant P01 AT006651 from the National Center for Complementary and Integrative Health (Bethesda, Maryland; to Dr. Mackey).
Competing Interests
The authors declare no competing interests.
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Fig. 1.
Summary of the main supraspinal regions and their roles in pain processing. Multiple cortical and subcortical structures are involved in various primary roles and aspects of the pain experience (as color-coded). Additional brain regions and networks not shown in the figure are involved in the pain experience (see “Normal Pain Processes within the Brain”). ACC = anterior cingulate cortex; Amg = amygdala; Cd = caudate; Hi = hippocampus; Ins = insular cortex; LC = locus coeruleus; M1 = primary motor cortex; NAc = nucleus accumbens; PAG = periacqueductal gray; PFC = prefrontal cortex; Pu = putamen; RVM = rostral ventral medulla; S1 = primary somatosensory cortex; S2 = secondary somatosensory cortex; SMA = supplementary motor area; Th = thalamus; TPJ = temporal-parietal junction.
Summary of the main supraspinal regions and their roles in pain processing. Multiple cortical and subcortical structures are involved in various primary roles and aspects of the pain experience (as color-coded). Additional brain regions and networks not shown in the figure are involved in the pain experience (see “Normal Pain Processes within the Brain”). ACC = anterior cingulate cortex; Amg = amygdala; Cd = caudate; Hi = hippocampus; Ins = insular cortex; LC = locus coeruleus; M1 = primary motor cortex; NAc = nucleus accumbens; PAG = periacqueductal gray; PFC = prefrontal cortex; Pu = putamen; RVM = rostral ventral medulla; S1 = primary somatosensory cortex; S2 = secondary somatosensory cortex; SMA = supplementary motor area; Th = thalamus; TPJ = temporal-parietal junction.
Fig. 1.
Summary of the main supraspinal regions and their roles in pain processing. Multiple cortical and subcortical structures are involved in various primary roles and aspects of the pain experience (as color-coded). Additional brain regions and networks not shown in the figure are involved in the pain experience (see “Normal Pain Processes within the Brain”). ACC = anterior cingulate cortex; Amg = amygdala; Cd = caudate; Hi = hippocampus; Ins = insular cortex; LC = locus coeruleus; M1 = primary motor cortex; NAc = nucleus accumbens; PAG = periacqueductal gray; PFC = prefrontal cortex; Pu = putamen; RVM = rostral ventral medulla; S1 = primary somatosensory cortex; S2 = secondary somatosensory cortex; SMA = supplementary motor area; Th = thalamus; TPJ = temporal-parietal junction.
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Table 1.
Neuroimaging of Acute versus Chronic Pain
Neuroimaging of Acute versus Chronic Pain×
Neuroimaging of Acute versus Chronic Pain
Table 1.
Neuroimaging of Acute versus Chronic Pain
Neuroimaging of Acute versus Chronic Pain×
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Table 2.
Neuroimaging Benefits and Limitations
Neuroimaging Benefits and Limitations×
Neuroimaging Benefits and Limitations
Table 2.
Neuroimaging Benefits and Limitations
Neuroimaging Benefits and Limitations×
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