The predictability of pain makes surgery an ideal model for the study of pain and the development of strategies for analgesia and reduction of perioperative pain. As functional near-infrared spectroscopy reproduces the known functional magnetic resonance imaging activations in response to a painful stimulus, we evaluated the feasibility of functional near-infrared spectroscopy to measure cortical responses to noxious stimulation during general anesthesia. A multichannel continuous wave near-infrared imager was used to measure somatosensory and frontal cortical activation in patients undergoing catheter ablation of arrhythmias under general anesthesia. Anesthetic technique was standardized and intraoperative NIRS signals recorded continuously with markers placed in the data set for the timing and duration of each cardiac ablation event. Frontal cortical signals only were suitable for analysis in five of eight patients studied (mean age 14 ± 1 years, weight 66.7 ± 17.6 kg, 2 males). Thirty ablative lesions were recorded for the five patients. Radiofrequency or cryoablation was temporally associated with a hemodynamic response function in the frontal cortex characterized by a significant decrease in oxyhemoglobin concentration (paired t-test, p<0.05) with the nadir occurring in the period 4 to 6 seconds after application of the ablative lesion. Cortical signals produced by catheter ablation of arrhythmias in patients under general anesthesia mirrored those seen with noxious stimulation in awake, healthy volunteers, during sedation for colonoscopy, and functional Magnetic Resonance Imaging activations in response to pain. This study demonstrates the feasibility and potential utility of functional near-infrared spectroscopy as an objective measure of cortical activation under general anesthesia.
Citation: Kussman BD, Aasted CM, Yücel MA, Steele SC, Alexander ME, Boas DA, et al. (2016) Capturing Pain in the Cortex during General Anesthesia: Near Infrared Spectroscopy Measures in Patients Undergoing Catheter Ablation of Arrhythmias. PLoS ONE 11(7): e0158975. https://doi.org/10.1371/journal.pone.0158975
Editor: Allan Siegel, University of Medicine & Dentistry of NJ - New Jersey Medical School, UNITED STATES
Received: January 12, 2016; Accepted: June 25, 2016; Published: July 14, 2016
Copyright: © 2016 Kussman et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: The authors do not have IRB approval for public dissemination of the data associated with this manuscript. They can, however, as a matter of scientific collaboration, release data sets to researchers who contact them. Interested readers should contact Lino Becerra (firstname.lastname@example.org).
Funding: Research reported in this article was supported by the Mayday Foundation, the Anesthesia Research Distinguished Trailblazer Award, and the National Institute of General Medical Science of the National Institutes of Health under award number R01GM104986. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
Competing interests: D.A.B. is an inventor on a technology licensed to TechEn, a company whose medical pursuits focus on noninvasive optical brain monitoring. D.A.B.’s interests were reviewed and are managed by Massachusetts General Hospital and Partners HealthCare in accordance with their conflict of interest policies. This does not alter the authors' adherence to PLOS ONE policies on sharing data and materials.
Surgery results in nociceptor activation, inflammation at the surgical site, and nerve injury . Nociceptor input can lead to central sensitization, defined as a reversible increase in the excitability and synaptic efficacy of neurons and circuits in central nociceptive pathways as well as reduced nociceptive inhibition [2, 3]. Central sensitization, by virtue of the abnormal perceptual response to normal sensory input, presents as hyperalgesia, allodynia, after sensations, and spread of pain to areas without discernible pathology. This topic has been reviewed elsewhere [1, 2, 3]. Consequences of central sensitization are plastic changes at a number of levels in the central nervous system, but especially the cortex, leading to altered and pathological behaviors referred to as maladaptive plasticity .
Individuals vary in their perception of pain and response to tissue injury, and different pain patterns may be seen in the perioperative period. It has been hypothesized that changes in pain sensitivity are an important contribution whereby severe, unrelieved acute postoperative pain may result in persistent postoperative pain [5, 3, 6]. As surgery is a common and predictable source of painful stimuli, it represents an ideal model for the study of pain and the development of strategies to guide analgesic administration and develop interventions to ameliorate persistent postoperative pain. However, objective and robust measures of nociceptive processing are a prerequisite to detect and prevent repeated nociceptive afferent discharges, central sensitization, and changes in brain systems .
Recent advances in brain imaging may be applied to the monitoring of perioperative nociception. Functional near-infrared spectroscopy (fNIRS) is a non-invasive, non-ionizing method for functional monitoring and imaging of brain hemodynamics . It takes advantage of the low absorption of near-infrared light by biological tissues to measure changes in concentrations of oxygenated (HbO), de-oxygenated (HbR), and total hemoglobin (HbT) in the brain. Increased neuronal activity (activation) is associated with vascular dilation and increased cerebral blood flow such that the increase in cerebral O2 delivery is greater than the increase in cerebral O2 consumption. These hemodynamic fluctuations result in increased concentrations of HbO and HbT and decreased concentrations of HbR , creating the basis of functional magnetic resonance imaging (fMRI) and fNIRS. Functional NIRS has now been used for over 20 years to measure and map brain activation in humans for a broad range of applications , and the instrumentation and methodology has been reviewed . Functional near-infrared spectroscopy has been shown to reproduce the same fMRI activations in response to pain [11, 12, 13]. Initial and more recent studies in healthy volunteers utilizing fNIRS found that noxious stimuli produced contralateral activation in the somatosensory cortex and a deactivation (negative change) in the frontal cortex, and that based on the temporal and spatial characteristics of the response in the frontal cortex it was possible to discern painful from innocuous stimulation [14,15]. The aim of this study was to evaluate the feasibility of fNIRS to measure the responses to noxious stimulation in the somatosensory and prefrontal cortices in patients under general anesthesia. We hypothesized that noxious stimuli applied under general anesthesia would produce the same patterns of hemodynamic activation in somatosensory and prefrontal cortices as that found in healthy awake volunteers.
Materials and Methods
The Institutional Review Board at Boston Children’s Hospital approved the study and its protocol. Written informed consent was obtained from subjects over 18 and from parents if the participant was a minor. Signed consent forms where archived according to HIPPA/Hospital regulations and a copy was given to participants or her/his parents. Eight patients 12 years of age and older (mean (SD) 15.8 (4.3) years, four males) scheduled for catheter ablation of arrhythmias under general endotracheal anesthesia were enrolled. All subjects were right-handed. Exclusion criteria were structural heart disease, neurologic disease, diabetes, smoking, psychoactive medications, and scalp or hair not permitting adequate optical light detection.
A multichannel continuous wave near-infrared imager (CW6, TechEn Inc., Milford, MA) was used to measure cortical activation. The system has previously been described in detail [16,17]. Briefly, two wavelengths of near-infrared light (690 nm and 830 nm) are emitted by 20 diode lasers and detected by 20 detectors (Fig 1). The sources and detectors are coupled to fiber optics, with each emitting fiber or detector constituting one optode. The optodes are 1-3mm in diameter, allowing them to be easily wiggled through the hair to make optical contact with the scalp. The source-detector separation is 3 cm, allowing for measurement of cortical activation at a depth of 1.5 cm . The head probe holding the optodes covers the somatosensory and motor areas as well as the frontal cortex. Changes in cortical oxyhemoglobin (HbO) and dexoxyhemoblogin (HbR) are measured via differential absorption characteristics of the two wavelengths of near-infrared light .
The fNIRS sensor array light sources (red dots), detectors (blue dots), and sensor channels (green lines) are shown at their intended locations. Although some shifting may occur for each subject, this has been shown to be sufficiently minimal in other studies where subject specific optode placements were measured. The sensitivity of the probe to detecting brain hemodynamics is shown as a logarithmic temperature plot ranging from 1.00 (0 dB, red) to 0.01 (-40 dB, blue) times the maximum sensitivity. The four frontal lobe channels used in this analysis are indicated with orange stars.
The head probe was placed after midazolam premedication and prior to induction of general anesthesia. Signal quality was assessed by applying brush stimuli to the dorsum of the right hand for 5 seconds, with 15 seconds between, for 5 cycles. Anesthetic technique was standardized for all subjects. Anesthesia was induced with propofol and fentanyl and maintained with sevoflurane in air and oxygen. As a specific end-tidal sevoflurane concentration during ablation was not predetermined, sevoflurane was administered according to routine clinical practice. Neuromuscular blockade with vecuronium or rocuronium was maintained until the end of the procedure. No narcotics were administered beyond the immediate induction period. Intraoperative recordings were collected and markers placed in the data set, using an auxiliary data acquisition channel, for the timing and duration of each cardiac ablation event. The electrophysiologic study proceeded using the usual approach which consists of combinations of induced arrhythmia and pacing maneuvers to characterize and target the arrhythmia. These maneuvers frequently include a period of isoproterenol infusion. Radiofrequency or cryo applications are started for 5–10 seconds, and if deemed potentially successful continued for 60 seconds.
Data analysis was performed using the open source software Homer2 . Channels were pruned using the following exclusion criteria: insufficient signal strength (<80 dB), excessive signal strength (>140 dB), or insufficient signal-to-noise ratio (<2). Light intensity was then converted to optical density and sections of the data determined by the automatic motion artifact detection algorithm [tMotion: 0.5, tMask: 1.0, STDEVthresh: 50.0, AMPthresh: 5.00] were excluded using the time range [-5.0 20.0] (seconds). The data was then low-pass filtered below 0.5 Hertz and converted from optical density to chromophore concentration using a partial path factor of 6.0 for both frequencies. The data was then manually reviewed to identify periods of more than 120 seconds of artifact-free resting data in which time marks were semi-randomly placed as a control for comparison. Finally, the hemodynamic response function (HRF) was modeled using consecutive Gaussian temporal basis functions with a standard deviation of 1 second and their means separated by 1 second over the regression time range of -2 to 20 seconds, where time-zero is the initiation of the ablative process or a control time mark, as we have used previously . The anatomical placement of each sensor channel is approximated in Fig 1. The prefrontal regions of interest from left to right are channels: 27, 28, 55, and 56, which correspond to left lateral, left central, right central, and right lateral locations, indicated with stars in Fig 1. Demographic and clinical parameters are presented as mean ± SD.
Eight patients were studied, but due to poor signal quality in three patients, data from only five subjects was adequate for analysis. Mean age was 14 ± 1 years, weight 66.7 ± 17.6 kg, with a male: female ratio of 2:3. Anesthetic drugs administered intravenously comprised midazolam premedication 1.4 ± 0.3 mg, propofol 1.8 ± 0.4 mg/kg, fentanyl 1.5 ± 0.7 mcg/kg, and either vecuronium (n = 4) or rocuronium. No additional fentanyl was administered after the induction of anesthesia. End-tidal sevoflurane concentration was 2 ± 0.5% during application of the ablation lesions. As is the norm for catheter ablation of arrhythmias, there was significant variability in heart rate and to a lesser extent blood pressure during ablation. Isoproterenol was not administered during application of any ablation lesions. None of the recordings collected over the somatosensory cortex were of adequate quality for analysis.
Lesions and NIRS Signal
Thirty ablative lesions were recorded for the five patients (Table 1). NIRS recordings acquired during radiofrequency ablation or cryoablation showed a HRF in the frontal cortex. Channels used for frontal cortical analysis overlie the superior frontal gyrus and medial frontal gyrus on each side. The HRF was characterized by a significant decrease in HbO concentration (paired t-test, p<0.05) with the nadir occurring in the period 4 to 6 seconds after application of the ablative lesion (Fig 2). Application of a single ablative lesion is in the order of 30 to 45 seconds.
The number of catheter-applied ablative lesions with processable signals that met the inclusion criteria for data processing and analysis are included in the right column.
The average response for periods of rest (no ablations, less likely to be nociceptive) is represented with the dashed line and the response to cardiac ablations (more likely to be nociceptive) is represented by the solid line. Time-zero corresponds to either the initiation of the ablation processes or control time marks placed in artifact-free periods of rest, generally after induction of anesthesia but before any ablations have been performed.
To investigate the frontal signals further, the HRF for each individual subject was averaged over the time interval 4 to 6 seconds post ablation onset (same method as used in Yücel et al., 2015 ), producing single metrics for the HbO response for each cardiac ablation event (n = 30). To evaluate the effectiveness of this method for differentiating between a cardiac ablation event (nociception) and the resting state (no or less nociception), paired t-tests were used to calculate the power for each channel (Table 2 and Fig 3). While channels 28, 55, and 56 all reached significance, channel 27 did not. This is likely due to the decreased number of ablation events measured on this channel as a result of channel 27 not passing the data quality assurance procedures performed by Homer2 for patient #5 (12 of the ablation stimuli).
Significance was reached for three of the channels individually for within-event identification of whether the change in HbO concentration is the result of a processable ablation or a stimulus-free state.
The mean change in the oxygenated hemoglobin concentration (HbO) over the time period 4 to 6 seconds post ablation onset to differentiate the response to cardiac ablations (more likely to be nociceptive) versus periods of rest (less likely to be nociceptive). Plotting the mean response across the four frontal channels, for each of the 30 ablations that were recorded, shows that the decrease in HbO is greater than the paired resting period for the majority of ablation events (p = 0.0004). The difference between nociceptive and resting states is -5.34±7.38x10^-7 (mean ± standard deviation).
In this study, we demonstrate the feasibility of using fNIRS to measure cortical responses to noxious stimulation in patients under general anesthesia. The cortical signals produced by catheter ablation of arrhythmias mirror those seen with noxious stimulation in healthy volunteers and fMRI activations in response to pain. Our results support the notion that NIRS has a potential utility as an objective measure of nociception and pain. Specifically, we report that the frontal cortical signals detected by NIRS are temporally related to the cardiac ablative lesions, suggesting that catheter ablation of arrhythmias produces changes in brain activity associated with pain. Importantly, the NIRS signals we found are similar to those produced by painful stimuli in awake, healthy volunteers [14, 20,21, 15], during sedation for colonoscopy Becerra et al PMC4794375, and fMRI activations in response to pain [11, 12, 13,22].
Patients undergoing cardiac ablation have described the procedure as painful; indeed the majority of patients complain of chest pain during, [23–25] and occasionally several days following, the operation. Thus, there is clinical evidence the ablation produces pain. Ablation by radiofrequency destroys tissue, which activates nociceptive fibers in a similar manner to a burn [24,26]. Therefore, the source of nociceptive afferent drive has a clinical and neurophysiological basis in patients undergoing catheter ablations for control of their cardiac arrhythmias. Pain pathways from the heart are thought to originate in sympathetic fibers that synapse on the spinothalamic tract neurons in the upper thoracic and lower cervical segments and on second order neurons that project to the thalamus. Additional fibers from the area of injury enter the brain via the nucleus of the solitary tract and connect with higher order regions such as the amygdala . From these locations, third order neurons project to cortical regions, such as the prefrontal cortex . The frontal lobe also receives input from a number of brain regions involved in nociceptive processing [29,30] and sends efferent projections to areas such as the periaqueductal gray to modulate (inhibit under healthy conditions) nociceptive activation of cells in the dorsal horn of the spinal cord. Conceptually, this provides a model for the activation profile we observe in the frontal regions, which is based on a balance between increased activation (resulting from afferent nociceptive input) and decreased activation (resulting from inhibitory processes in these regions).
The Issue: Surgical Intervention and Measures of Pain
Catheter ablation using radiofrequency energy is associated with pain, even with the administration of sedative and analgesic agents [31, 26, 32]. The mechanisms and pathways of cardiac pain are complex and have recently been reviewed . Briefly, nociceptive information is transmitted by (1) cardiac visceral afferent fibers travelling with the sympathetic nerves via the dorsal root ganglia into the spinal grey matter and ascending via the contralateral spinothalamic tract (STT) to the thalamus; and (2) vagal afferents via the nodose ganglia to the nucleus tractus solitarius in the brainstem. Above the level of the thalamus, sensory information is relayed not only to the somatosensory cortex but also to the cingulate gyrus, insula, amygdyla, hypothalamus, and prefrontal cortex. Activations of the prefrontal cortex mediate part of the cognitive and emotional dimensions of pain processing [33, 34].
Autonomic responses (changes in heart rate, blood pressure, and pupillary size) via the nociceptive medullary autonomic circuit, rather than direct measures of consciousness and analgesia, are used as surrogates to guide drug administration during general anesthesia . Hence, intermittent or continuous barrages of nociceptor-induced neural activity during (and after) surgery can result in peripheral and central pain sensitization with pain hypersensitivity, changes in brain activity, and persistent postsurgical pain [7, 2,5]. Pain has been reported as a component of intraoperative awareness, but the frequency and relationship to significant psychological sequelae is inconsistent [36, 37, 38].
Assessing pain in individuals not able to communicate (e.g. neonates, infants, general anesthesia, coma, or following stroke) might be very difficult due to the lack of non-verbal objective measures of pain. The consequences of ongoing pain include peripheral and central sensitization with amplification of the pain and allodynia. Additionally, there are changes in brain systems (‘centralization of pain’) affecting emotional and cognitive processing . Near-infrared spectroscopy (NIRS) being a portable, non-invasive and inexpensive method of monitoring cerebral hemodynamic activity has the potential to provide such a measure. In a prior study we have used functional NIRS to evaluate brain activation to an innocuous and a noxious electrical stimulus on healthy human subjects. The painful and non-painful stimuli can be differentiated based on their signal size and profile . Furthermore, the signal was distinguishable from a skin sympathetic response to pain that tended to mask it. Our results support the notion that functional NIRS has a potential utility as an objective measure of pain processing.
NIRS Measures in Response to Ablation of Arrhythmias
Although the pattern of change in HbO concentration in response to cardiac ablation resembles that found in awake, healthy volunteers , the time to peak change was shorter (by about 50%) in our patients. Possible explanations for this include the effects of anesthesia on cerebral hemodynamics, the location of the stimulus (heart versus hand), the type of stimulus, or a combination of these effects. Another important aspect of the observed signal is the amplitude. The peak values for the HbO response to cardiac ablation range from approximately -1.7 to 0.5 micro Moles, with a mean value around -0.44 micro Moles. This is substantially larger than the response observed in our healthy subject studies, which utilize short separation regression to remove systemic effects such as the skin response. However, based on prior observations, we have verified that the frontal cortex response, without the use of a regression measure, also resembles the results reported in this study with a similar increase in amplitude .
The somatosensory cortex responses during cardiac ablation are also of great interest. Due to procedural limitations in this study, NIRS channels over the somatosensory cortex often deviated from their preoperative configuration, reducing the signal to noise ratio below acceptable levels. We have reason to be concerned that systemic activity could be producing the hemodynamic response function in the prefrontal cortex. Short separation channels were utilized during the collection of this data set, but were only located at medial somatosensory locations, which are not useful for regression of signals in the prefrontal cortex. To overcome this limitation and enhance our confidence in the data, a second cohort of cardiac ablation patients is being studied with a different sensor positioning system utilizing short separation channels located adjacent to all channels. This will allow us to eliminate any systemic effects that may be present in the scalp or skull over the prefrontal cortex and rule out the possibility of a sympathetic response. We also expect to be able to detect a differentiable response in the somatosensory cortex region , which will corroborate our results in the prefrontal cortex. There is some uncertainty over where heart pain is processed in the brain, with the possibility that the insular lobe is responsible for both heart control and sensation, but there is support that a more accessible cortex location may be available .
The Frontal Lobe and Pain
Our study focused on measures of pain in the frontal lobe, an area that is frequently reported in experimental and pain studies. The specific regions are the superior medial and mid-frontal lobe.
The frontal lobe has been implicated in a number of functional processes including: (1) defining future processes that may result from current actions and defining relative choice outcomes (viz., good/bad; aversive/rewarding) between these actions; (2) defining responses in a social context; (3) defining relative congruency of processes (viz., objects or proceedings); and (4) long-term emotional memories. In this study we evaluated changes in the medial frontal lobe [40, 41, 42, 43] that has attributed functions including those in fear and extinction . How are these functions altered by nociceptive signals during unconsciousness associated with anesthesia? First, there is accumulating evidence that there may be non-conscious or unconscious processing of fear by the medial prefrontal cortex [45, 46]. While disturbances of network properties (including those in the medial prefrontal cortex) during impaired consciousness (viz., coma) or anesthesia , prior work in animals under general anesthesia show that nociceptive signals activate somatosensory pathways [48, 49, 50]. Second, the connectivity of the medial prefrontal cortex has been studied in rats, monkeys and humans and data supports a major cortical output from the region to visceromotor structures in the hypothalamus and brainstem, the basal ganglia (accumbens, putamen and ventromedial caudate) and mediodorsal thalamus [51, 52]. Its role in pain is supported by a number of clinical and preclinical studies: (1) the regions noted above are all regions activated by nociceptive signals in human fMRI studies and notably the region is predictive for hyperalgesia and anti-hyperalgesia ; the latter is of note since we suggest that the region may be a marker for analgesia; (2) alterations in channel function are reported in in the region in neuropathic pain produced by spared nerve injury in rats ; and pain produces deactivation of the medial prefrontal cortex (mPFC) which is part of or closely associated with the s-mPFC that alters glutamate and GABA receptors  in a manner that may contribute to pain induced deactivation; (3) Consistent with an inhibitory effect, medial prefrontal areas project to the periaqueductal gray , a region involved in descending modulation and perhaps involved in adaptation or habituation of a repetitive fNIRS stimulus we have previously reported . Under normal conditions, GABAergic inhibition may thus be at play, resulting in decreased evoked activity in mPFC neurons—and perhaps consistent with the decreased fNIRS signal observed in our study.
We propose that during incomplete analgesia, nociceptive signals activate pathways that include spinothalamic/spinoparabrachial-amygdala pathways and that these areas (thalamus and amygdala) relay the information to the medial prefrontal cortex. The decreased fNIRS signal is putatively related to enhanced GABAergic processing (see ). Its unconscious processing continues presumably because of the relative depth of anesthesia. Thus represents evaluation of ‘current action’ (including the aversive emotional nature of nociception) and while interrogating this information attempting to define a course of action, consistent with known function of the superior medial prefrontal cortex (s-mPFC).
Measures of Pain and Anesthesia
Although definitions and goals of the anesthetic state vary among anesthesiologists, important components of general anesthesia include lack of experience of surgery (unconsciousness or disconnected consciousness, amnesia), immobility, and nociceptive blockade . The relationship of memory to level of consciousness is complex, and both inhalation and intravenous anesthetics can cause memory blockade at doses considerably lower than those required for loss of consciousness and immobility . Monitoring brain states under general anesthesia and sedation is presently directed at assessment of the level of consciousness and prevention of awareness. This is still performed by interpretation of physiologic parameters and to a lesser extent by EEG-derived indices and changes in the unprocessed electroencephalogram (EEG).
Although attempts to develop an analgesic state monitor in response to sympathetic stimulation  or evoked potentials [60, 47] are ongoing, a technique which can detect and reduce cerebral nociceptive input would be superior. Validation of this technique to measure pain processing would allow testing of the hypothesis that reduction in nociceptive processing during anesthesia would allow for development of strategies to improve analgesia in the perioperative period [2,5,7].
Hemodynamic effects initiated by neuronal activity are considerably smaller in magnitude than the background variations in blood oxygenation and volume caused by systemic activities (e.g. cardiac rhythm, respiration, and blood pressure oscillation). To improve the ability to identify single events, a regression technique such as using short separation optodes , in addition to our sensor array, should be used. Additionally, near-infrared spectroscopy is dependent on consistent contact with the medium being imaged. Excessive patient movement can cause both loss of contact with the scalp as well as movement within the cerebral fluid. Loss of contact results in sudden changes in received light intensity. Signal processing methods are now being developed to correct for these types of artifacts .
These results do not take into account any changes that occur due to the influence of pharmacologic agents on hemodynamic response to stimuli or brain function in general [63, 64, 65, 66]. Cortical activity monitored in healthy, awake individuals through NIRS may not provide a direct comparison to individuals undergoing cardiac ablation, because a pain signal observed in patients under anesthesia may exhibit variations in amplitude or time of onset of activity, as well as other factors not present in the control data.
The findings of this study indicate that detection of cortical nociceptive activation signatures is possible with fNIRS in patients under general anesthesia. Specifically, this suggests that further research could provide a measure of pain through fNIRS measures in the prefrontal cortex. If successful, this would create a tool that a variety of pain related fields could use for objectification of pain as well as pain detection in populations with no means of communicating pain intensity. This would almost certainly improve the study of pain as well as our ability to provide perioperative pain relief.
We would like to thank Margaret Grant, BS, and Justine Bode, RN, for their contributions to data collection on this project.
Conceived and designed the experiments: LB DB BK MA CMA. Performed the experiments: LB BK CMA. Analyzed the data: LB CMA MAY DAB DB BK. Wrote the paper: LB BK CMA MAY SS DAB DB. Statistical analysis: LB CMA MAY DAB DB. Obtained funding: LB DB CMA BK.
- 1. Kehlet H, Jensen TS, Woolf CJ (2006) Persistent postsurgical pain: risk factors and prevention. Lancet 367: 1618–1625. pmid:16698416
- 2. Latremoliere A, Woolf CJ (2009) Central sensitization: a generator of pain hypersensitivity by central neural plasticity. J Pain 10: 895–926. pmid:19712899
- 3. Woolf CJ (2011) Central sensitization: implications for the diagnosis and treatment of pain. Pain 152: S2–15. pmid:20961685
- 4. Flor H, Nikolajsen L, Staehelin Jensen T (2006) Phantom limb pain: a case of maladaptive CNS plasticity? Nat Rev Neurosci 7: 873–881. pmid:17053811
- 5. Kehlet H (2006) Perioperative analgesia to prevent chronic postmastectomy pain. Anesth Analg 103: 494; author reply 494–495. pmid:16861447
- 6. Dahl JB, Kehlet H (2011) Preventive analgesia. Curr Opin Anaesthesiol 24: 331–338. pmid:21478742
- 7. Borsook D, Kussman BD, George E, Becerra LR, Burke DW (2013) Surgically induced neuropathic pain: understanding the perioperative process. Ann Surg 257: 403–412. pmid:23059501
- 8. Boas DA, Elwell CE, Ferrari M, Taga G (2014) Twenty years of functional near-infrared spectroscopy: introduction for the special issue. Neuroimage85 Pt 1: 1–5.
- 9. Villringer A, Planck J, Hock C, Schleinkofer L, Dirnagl U (1993) Near infrared spectroscopy (NIRS): a new tool to study hemodynamic changes during activation of brain function in human adults. Neurosci Lett 154: 101–104. pmid:8361619
- 10. Scholkmann F, Kleiser S, Metz AJ, Zimmermann R, Mata Pavia J, et al. (2014) A review on continuous wave functional near-infrared spectroscopy and imaging instrumentation and methodology. Neuroimage 85 Pt 1: 6–27. pmid:23684868
- 11. Becerra LR, Breiter HC, Stojanovic M, Fishman S, Edwards A, et al. (1999) Human brain activation under controlled thermal stimulation and habituation to noxious heat: an fMRI study. Magn Reson Med 41: 1044–1057. pmid:10332889
- 12. Chen JI, Ha B, Bushnell MC, Pike B, Duncan GH (2002) Differentiating noxious- and innocuous-related activation of human somatosensory cortices using temporal analysis of fMRI. J Neurophysiol 88: 464–474. pmid:12091568
- 13. Tracey I, Becerra L, Chang I, Breiter H, Jenkins L, et al. (2000) Noxious hot and cold stimulation produce common patterns of brain activation in humans: a functional magnetic resonance imaging study. Neurosci Lett 288: 159–162. pmid:10876085
- 14. Becerra L, Harris W, Grant M, George E, Boas D, et al. (2009) Diffuse optical tomography activation in the somatosensory cortex: specific activation by painful vs. non-painful thermal stimuli. PLoS One 4: e8016. pmid:19956637
- 15. Yucel MA, Aasted CM, Petkov MP, Borsook D, Boas DA, et al. (2015) Specificity of hemodynamic brain responses to painful stimuli: a functional near-infrared spectroscopy study. Sci Rep 5: 9469. pmid:25820289
- 16. Becerra L, Harris W, Joseph D, Huppert T, Boas DA, et al. (2008) Diffuse optical tomography of pain and tactile stimulation: activation in cortical sensory and emotional systems. Neuroimage 41: 252–259. pmid:18394924
- 17. Franceschini MA, Joseph DK, Huppert TJ, Diamond SG, Boas DA (2006) Diffuse optical imaging of the whole head. J Biomed Opt 11: 054007. pmid:17092156
- 18. Strangman G, Culver JP, Thompson JH, Boas DA (2002) A quantitative comparison of simultaneous BOLD fMRI and NIRS recordings during functional brain activation. Neuroimage 17: 719–731. pmid:12377147
- 19. Huppert TJ, Diamond SG, Franceschini MA, Boas DA (2009) HomER: a review of time-series analysis methods for near-infrared spectroscopy of the brain. Appl Opt 48: D280–298. pmid:19340120
- 20. Holper L, ten Brincke RH, Wolf M, Murphy RO (2014) fNIRS derived hemodynamic signals and electrodermal responses in a sequential risk-taking task. Brain Res 1557: 141–154. pmid:24530267
- 21. Sakuma S, Inamoto K, Higuchi N, Ariji Y, Nakayama M, et al. (2014) Experimental pain in the gingiva and its impact on prefrontal cortical hemodynamics: a functional near-infrared spectroscopy study. Neurosci Lett 575: 74–79. pmid:24878385
- 22. Chen W, Lu G, Lichty W (2002) Localizing the focus of ischemic stroke with near infrared spectroscopy. Chin Med J (Engl) 115: 84–88.
- 23. Al-Azawy M, Oterhals K, Fridlund B, Assmus J, Schuster P (2015) Premedication and preoperative information reduces pain intensity and increases satisfaction in patients undergoing ablation for atrial fibrillation. A randomised controlled study. Appl Nurs Res 28: 268–273. pmid:26608424
- 24. Norgaard MW, Werner A, Abrahamsen R, Larsen B, Darmer MR, et al. (2013) Visualization and attentive behavior for pain reduction during radiofrequency ablation of atrial fibrillation. Pacing Clin Electrophysiol 36: 203–213. pmid:23127191
- 25. (2015) Visualizing a safe place reduces pain during ablation of atrial fibrillation. Eur Heart J 36: 140. pmid:25741556
- 26. Aryana A, Heist EK, D'Avila A, Holmvang G, Chevalier J, et al. (2008) Pain and anatomical locations of radiofrequency ablation as predictors of esophageal temperature rise during pulmonary vein isolation. J Cardiovasc Electrophysiol 19: 32–38. pmid:17900251
- 27. Foreman RD, Garrett KM, Blair RW (2015) Mechanisms of cardiac pain. Compr Physiol 5: 929–960. pmid:25880519
- 28. Rosen SD, Camici PG (2000) The brain-heart axis in the perception of cardiac pain: the elusive link between ischaemia and pain. Ann Med 32: 350–364. pmid:10949067
- 29. Lenz FA, Rios M, Zirh A, Chau D, Krauss G, et al. (1998) Painful stimuli evoke potentials recorded over the human anterior cingulate gyrus. J Neurophysiol 79: 2231–2234. pmid:9535984
- 30. Symonds LL, Gordon NS, Bixby JC, Mande MM (2006) Right-lateralized pain processing in the human cortex: an FMRI study. J Neurophysiol 95: 3823–3830. pmid:16554508
- 31. Alaeddini J, Wood MA, Parvez B, Pathak V, Wong KA, et al. (2007) Site localization and characterization of pain during radiofrequency ablation of the pulmonary veins. Pacing Clin Electrophysiol 30: 1210–1214. pmid:17897123
- 32. Carnlof C, Insulander P, Jensen-Urstad M (2014) An active supply of analgesics during pulmonary vein isolation reduces pain. Scand Cardiovasc J 48: 35–40. pmid:24266552
- 33. Lorenz J, Cross DJ, Minoshima S, Morrow TJ, Paulson PE, et al. (2002) A unique representation of heat allodynia in the human brain. Neuron 35: 383–393. pmid:12160755
- 34. Peyron R, Laurent B, Garcia-Larrea L (2000) Functional imaging of brain responses to pain. A review and meta-analysis (2000). Neurophysiol Clin 30: 263–288. pmid:11126640
- 35. Brown EN, Lydic R, Schiff ND (2010) General anesthesia, sleep, and coma. N Engl J Med 363: 2638–2650. pmid:21190458
- 36. Avidan MS, Zhang L, Burnside BA, Finkel KJ, Searleman AC, et al. (2008) Anesthesia awareness and the bispectral index. N Engl J Med 358: 1097–1108. pmid:18337600
- 37. Ghoneim MM, Block RI, Haffarnan M, Mathews MJ (2009) Awareness during anesthesia: risk factors, causes and sequelae: a review of reported cases in the literature. Anesth Analg 108: 527–535. pmid:19151283
- 38. Leslie K, Chan MT, Myles PS, Forbes A, McCulloch TJ (2010) Posttraumatic stress disorder in aware patients from the B-aware trial. Anesth Analg 110: 823–828. pmid:19861364
- 39. Hobson AR, Aziz Q (2003) Central nervous system processing of human visceral pain in health and disease. News Physiol Sci 18: 109–114. pmid:12750446
- 40. Ridderinkhof KR, Ullsperger M, Crone EA, Nieuwenhuis S (2004) The role of the medial frontal cortex in cognitive control. Science 306: 443–447. pmid:15486290
- 41. Amodio DM, Frith CD (2006) Meeting of minds: the medial frontal cortex and social cognition. Nat Rev Neurosci 7: 268–277. pmid:16552413
- 42. Ridderinkhof KR, Nieuwenhuis S, Braver TS (2007) Medial frontal cortex function: an introduction and overview. Cogn Affect Behav Neurosci 7: 261–265. pmid:18188999
- 43. Cohen MX, Ridderinkhof KR, Haupt S, Elger CE, Fell J (2008) Medial frontal cortex and response conflict: evidence from human intracranial EEG and medial frontal cortex lesion. Brain Res 1238: 127–142. pmid:18760262
- 44. Maroun M (2013) Medial prefrontal cortex: multiple roles in fear and extinction. Neuroscientist 19: 370–383. pmid:23090707
- 45. Bryant RA, Kemp AH, Felmingham KL, Liddell B, Olivieri G, et al. (2008) Enhanced amygdala and medial prefrontal activation during nonconscious processing of fear in posttraumatic stress disorder: an fMRI study. Hum Brain Mapp 29: 517–523. pmid:17525984
- 46. Bayle DJ, Henaff MA, Krolak-Salmon P (2009) Unconsciously perceived fear in peripheral vision alerts the limbic system: a MEG study. PLoS One 4: e8207. pmid:20011048
- 47. Untergehrer G, Jordan D, Eyl S, Schneider G (2013) Effects of propofol, sevoflurane, remifentanil, and (S)-ketamine in subanesthetic concentrations on visceral and somatosensory pain-evoked potentials. Anesthesiology 118: 308–317. pmid:23254146
- 48. Borsook D, Becerra L (2011) CNS animal fMRI in pain and analgesia. Neurosci Biobehav Rev 35: 1125–1143. pmid:21126534
- 49. Peeters RR, Tindemans I, De Schutter E, Van der Linden A (2001) Comparing BOLD fMRI signal changes in the awake and anesthetized rat during electrical forepaw stimulation. Magn Reson Imaging 19: 821–826. pmid:11551722
- 50. Austin VC, Blamire AM, Allers KA, Sharp T, Styles P, et al. (2005) Confounding effects of anesthesia on functional activation in rodent brain: a study of halothane and alpha-chloralose anesthesia. Neuroimage 24: 92–100. pmid:15588600
- 51. Ongur D, Price JL (2000) The organization of networks within the orbital and medial prefrontal cortex of rats, monkeys and humans. Cereb Cortex 10: 206–219. pmid:10731217
- 52. Ongur D, Ferry AT, Price JL (2003) Architectonic subdivision of the human orbital and medial prefrontal cortex. J Comp Neurol 460: 425–449. pmid:12692859
- 53. Seifert F, Bschorer K, De Col R, Filitz J, Peltz E, et al. (2009) Medial prefrontal cortex activity is predictive for hyperalgesia and pharmacological antihyperalgesia. J Neurosci 29: 6167–6175. pmid:19439594
- 54. Cordeiro Matos S, Zhang Z, Seguela P (2015) Peripheral Neuropathy Induces HCN Channel Dysfunction in Pyramidal Neurons of the Medial Prefrontal Cortex. J Neurosci 35: 13244–13256. pmid:26400952
- 55. Ji G, Neugebauer V (2011) Pain-related deactivation of medial prefrontal cortical neurons involves mGluR1 and GABA(A) receptors. J Neurophysiol 106: 2642–2652. pmid:21880942
- 56. An X, Bandler R, Ongur D, Price JL (1998) Prefrontal cortical projections to longitudinal columns in the midbrain periaqueductal gray in macaque monkeys. J Comp Neurol 401: 455–479. pmid:9826273
- 57. Sanders RD, Tononi G, Laureys S, Sleigh JW (2012) Unresponsiveness not equal unconsciousness. Anesthesiology 116: 946–959. pmid:22314293
- 58. Mashour GA, Orser BA, Avidan MS (2011) Intraoperative awareness: from neurobiology to clinical practice. Anesthesiology 114: 1218–1233. pmid:21464699
- 59. Gruenewald M, Ilies C (2013) Monitoring the nociception-anti-nociception balance. Best Pract Res Clin Anaesthesiol 27: 235–247. pmid:24012235
- 60. Castro A, Amorim P, Nunes CS, de Almeida FG (2015) Effect of propofol and remifentanil on a somatosensory evoked potential indicator of pain perception intensity in volunteers. J Clin Monit Comput 29: 561–567. pmid:25355557
- 61. Gagnon L, Cooper RJ, Yucel MA, Perdue KL, Greve DN, et al. (2012) Short separation channel location impacts the performance of short channel regression in NIRS. Neuroimage 59: 2518–2528. pmid:21945793
- 62. Cooper RJ, Selb J, Gagnon L, Phillip D, Schytz HW, et al. (2012) A systematic comparison of motion artifact correction techniques for functional near-infrared spectroscopy. Front Neurosci 6: 147. pmid:23087603
- 63. Schlunzen L, Juul N, Hansen KV, Cold GE (2012) Regional cerebral blood flow and glucose metabolism during propofol anaesthesia in healthy subjects studied with positron emission tomography. Acta Anaesthesiol Scand 56: 248–255. pmid:22091956
- 64. Fiset P, Paus T, Daloze T, Plourde G, Meuret P, et al. (1999) Brain mechanisms of propofol-induced loss of consciousness in humans: a positron emission tomographic study. J Neurosci 19: 5506–5513. pmid:10377359
- 65. Kaisti KK, Metsahonkala L, Teras M, Oikonen V, Aalto S, et al. (2002) Effects of surgical levels of propofol and sevoflurane anesthesia on cerebral blood flow in healthy subjects studied with positron emission tomography. Anesthesiology 96: 1358–1370. pmid:12170048
- 66. Kaisti KK, Langsjo JW, Aalto S, Oikonen V, Sipila H, et al. (2003) Effects of sevoflurane, propofol, and adjunct nitrous oxide on regional cerebral blood flow, oxygen consumption, and blood volume in humans. Anesthesiology 99: 603–613. pmid:12960544