Touch can relieve pain. The analgesic effect of touching a sore body part is a common everyday experience. Nevertheless, its underlying mechanisms are debated. Surprisingly, few neurophysiologic studies of touch-induced analgesia have been conducted in humans and have yielded controversial results. Most investigations of this effect have been conducted in anesthetized or “spinal” animals, after total transection of the spinal cord.38 These studies showed that tactile input segmentally inhibits nociceptive input at spinal level.4,50,51
However, it remains unclear if and how these neural mechanisms, which have been characterized in anaesthetized spinal animals, translate first to the awake animal and finally to the awake human.10,40 In particular, the full transection of the spinal cord used in the spinal animal eliminates, by definition, any descending control of spinal circuitry, as well as the transmission of the ascending nociceptive volley to the brain.
Neurophysiologic and psychophysical investigations of touch-induced analgesia in humans have suggested that modulation entirely occurs at supraspinal levels.19,46 Nonetheless, some of this evidence is difficult to evaluate, because it depends on subtle details of the physiological method, such as the estimated arrival times of tactile and nociceptive volleys at particular neural centers.
For instance, Inui et al.19 observed that cortical responses to nociceptive stimulation of Aδ fibers conducting at 9 to 16 m/s47 are modulated by tactile stimulation of Aβ fibers conducting at 36 to 78 m/s,24 even when the Aβ stimulation occurs up to 60 milliseconds after the onset of the nociceptive input. They took the 60-millisecond delay between the Aδ and the subsequent Aβ stimulation as evidence that the tactile modulation of nociceptive input occurs at cortical level. However, because of the significant variability in conduction velocity of Aδ nociceptive afferents,56 the possibility that tactile input reaches the spinal cord before nociceptive input cannot be ruled out. Stronger evidence would require the combination of several physiological measures, each reflecting a specific level of nociceptive processing hierarchy, notably the subcortical and cortical stages.
We therefore induced a robust touch-induced analgesia36 and simultaneously recorded established electrophysiologic markers of subcortical and cortical nociceptive processing. Specifically, we combined selective laser stimulation of Aδ and C skin nociceptors with von Frey stimulation of Aβ mechanoreceptors in the same region (ie, within ∼1 cm). As marker of subcortical nociceptive processing, we recorded the laser blink reflex (LBR), a response generated by brain stem circuits before ascending nociceptive signals reach the cortex.31,39,49 As markers of cortical nociceptive processing, we recorded the laser-evoked brain potentials (LEPs), a response generated by a set of cortical areas activated by the ascending Aδ- and C-fiber input.6,7,15 If LBR was suppressed by concomitant touch, then supraspinal mechanisms alone are unlikely to be sufficient to drive touch-induced analgesia, which would therefore be mediated by a subcortical gating of the ascending nociceptive volley.
Twenty-one healthy right-handed volunteers (9 females) aged 19 to 30 years old (mean ± SD, 22.6 ± 3.2) participated in the experiment, after having given written informed consent. Experimental procedures were approved by the ethics committee of University College London (2492/001).
2.2. Nociceptive stimulation
We used radiant heat pulses generated by an infrared neodymium: yttrium-aluminum-perovskite laser with a wavelength of 1.34 μm (Electronical Engineering, Italy). These laser pulses selectively excite Aδ and C nociceptive free nerve endings in the epidermis,5 without coactivating lower-threshold Aβ fibers in the dermis.35,53 Because of the different conduction velocity of thinly myelinated Aδ fibers and unmyelinated C fibers, laser pulses elicit a double sensation: an initial Aδ-fiber-related pricking pain, followed by a C-fiber-related burning pain.32
Laser pulses were directed to a rectangular skin area (4 × 2 cm, main axis mediolateral) centred on the dorsum of the right hand and defined before the beginning of the experimental session. An He–Ne visible laser pointed to the stimulated area. The laser beam was transmitted through an optic fiber, and its diameter was set at approximately 3 mm (∼7 mm2) by focusing lenses. The duration of each laser pulse was 4 milliseconds.
We first identified, in each participant, the pinprick detection threshold (corresponding to the activation threshold of Aδ fibers; Ref. 6) using ascending staircases. The threshold was defined as the first stimulus energy that elicited a pinprick sensation in 3 consecutive repetitions.35 In the main experiment, we delivered stimuli at 2 energies, both suprathreshold for Aδ fibers: 0.1 J and 0.2 J above the pinprick detection threshold. The 2 energies were 0.7 ± 0.1 J and 0.8 ± 0.1 J. We used 2 stimulus energies, rather than one, to introduce some variability in the ratings and keep participants engaged in the task.36 Because the 2 energies could not be easily discriminated, they were collapsed in the statistical analyses.
To avoid receptor fatigue or sensitization, the laser beam was shifted after each trial within the predefined stimulated area. Because variations in baseline skin temperature may modulate pain perception,9 an infrared thermometer was used to ensure that the hand temperature remained constant across blocks.
2.3. Tactile stimulation
Tactile stimuli were delivered using a pair of von Frey hairs (1 g, diameter 0.4 mm), along a proximal–distal axis intersecting the location of the laser stimulus (Fig. 1). The 2 tactile stimuli were equidistant to the site of laser stimulation (1.5 cm on each side). The stimulation was delivered by a computer-controlled 3-axis robot (Arrick Robotics, Tyler, TX), and its duration was between 3 and 3.4 seconds (rectangular distribution). The rationale for using a pair of tactile stimuli was to keep the focus of tactile spatial attention centered on the site of laser stimulation, thus avoiding any shift of attention towards the tactile stimulus.28,36 Indeed, when 2 successive stimuli are delivered at different spatial locations (eg, a tactile stimulus followed by a nociceptive stimulus), attention is shifted from the location of the first stimulus to the location of the second stimulus. The spatial configuration of the conditioning stimuli in our experiment (Fig. 1) minimized this attentional shift.
2.4. Electrophysiologic recording
The electroencephalogram (EEG) was recorded using 30 Ag–AgCl electrodes placed on the scalp according to the International 10-20 system, using the nose as reference. The LBR was recorded from the orbicularis oculi muscle ipsilateral to the stimulated hand, using 2 electromyographic (EMG) surface electrodes. The active electrode was placed over the mid lower eyelid and the reference electrode a few centimeters laterally to the outer canthus. Electrophysiologic signals were amplified and digitized using a sampling rate of 1024 Hz (SD32; Micromed, Treviso, Italy).
2.5. Experimental design
Participants sat comfortably with their right hand resting on a table. They were instructed to focus on the stimuli, keep their eyes open, and gaze at a fixation point. A black curtain blocked the view of the hand.
Each trial corresponded to one of the following experimental conditions: Laser (L), Laser + Touch (L + T), and Catch (C). The timeline of events in the L and L + T conditions is shown in Figure 1. In each trial, white noise was played for 7 seconds, starting 2.5 to 2.7 seconds before the laser stimulation, until 4.3 to 4.5 seconds after the laser stimulation. The noise provided an auditory cue for the forthcoming laser stimulation, while masking the robot movement.
In the L + T condition, the robot delivered a pair of tactile stimuli 1.5 to 1.7 seconds before the onset of the laser pulse (ie, 1 second after the onset of the white noise). The hair filament was removed 1.5 to 1.7 seconds after the laser pulse. Therefore, the tactile stimulation lasted between 3 and 3.4 seconds (rectangular distribution).
The L condition was identical to the L + T condition, with the only exception that the robot made an upward movement instead of delivering the tactile stimulation. Therefore, no tactile stimulus was delivered in this condition. The laser pulse was delivered 2.5 to 2.7 seconds after the onset of the white noise.
In the C condition, the white noise was played for 7 seconds and the robot, again, moved upwards. Neither nociceptive nor tactile stimulation occurred.
At the end of the white noise, participants were instructed to verbally report both the quality and the intensity of the sensation evoked by laser stimulation (see 2.6). The next trial started between 6 and 8.5 seconds after the participant responded.
Trials were delivered in blocks of 5. Each block consisted of 2 L trials, 2 L + T trials, and 1 C trial, in randomised order. In each pair of trials involving laser stimulation (ie, both L and L + T conditions), 1 stimulus was 0.1 J above threshold and the other 0.2 J above threshold. Thus, within each condition, the 2 laser energies were equally frequent. The order of energies was also randomized. In each participant, 18 blocks of stimulation were delivered.
2.6. Psychophysical measures
Three different behavioral measures were collected at the end of each trial (Fig. 1) in the following order:
- (1) Detection: Participants were asked to report if they detected the laser stimulus.
- (2) Quality of sensation: If the laser stimulus was detected, participants were asked to describe the first evoked sensation, using 8 verbal descriptors shown to reflect the activation of either Aδ fibers (pinprick) or C fibers (warm, dull, drawing, burning, pressing). These adjectives have been demonstrated to best discriminate between first and second pain.1,53 If none of the above descriptors was appropriate, the volunteers were invited to use any other word of their choice.
- (3) Perceived pain intensity: If the laser stimulus was detected, participants were asked to report the intensity of the evoked sensation, using a numerical rating scale ranging from 0 (no pain) to 100 (worst imaginable pain).
2.7. Electroencephalogram data analysis
The EEG data were preprocessed and analysed using Letswave (http://www.nocions.org/letswave/) and EEGLAB.11 Continuous EEG data were band-pass filtered from 1 to 30 Hz, segmented into epochs using a time window ranging from −1 to +2 seconds relative to the onset of the laser stimulus, and baseline corrected using the interval from −1 to 0 as reference. Trials contaminated by eye blinks and movements were corrected using independent component analysis.11 In all data sets, independent components related to eye movement showed a large Electro-Oculogram channel contribution and a frontal scalp distribution. In addition, epochs with amplitude values exceeding ±80 μV (ie, epochs likely to be contaminated by artifacts) were excluded. Next, epochs were averaged time locked to the onset of the laser stimulus, to identify the LEPs elicited by the concomitant stimulation of Aδ and C fibers. Laser-evoked potentials consist of several transient responses that are time locked and phase locked to the onset of laser stimuli.42
2.7.2. Aδ-laser-evoked potentials
Epochs belonging to the same experimental condition were averaged across trials, which resulted in 2 average waveforms (L and L + T) for each subject. For each condition, the peak latency and amplitude of the N1, N2, P2, and P4 waves of the Aδ-LEPs were measured as follows. The Aδ-N2 and Aδ-P2 waves, defined as the most negative and positive deflections after stimulus onset, were measured at the vertex (Cz), referenced to the nose. The Aδ-N1 and Aδ-P4 waves, defined as the smallest negative and positive deflections preceding the Aδ-N2 wave and following the Aδ-P2 wave, were measured at the central electrode contralateral to the stimulated side (C3), referenced to Fz.16 To test whether touch modulated the amplitude of Aδ-LEPs, we performed a point-by-point paired-sample t test between the responses obtained in the L and L + T conditions. To account for multiple comparisons in the point-by-point statistical testing, significant time points (P < 0.05) were clustered based on their temporal adjacency (cluster-level statistical analysis). For each cluster, we calculated the pseudo-t statistic of the 2 conditions, estimated its distribution by permutation testing (5000 times), and generated the bootstrap P values for the null hypothesis.37 This procedure identified the clusters in which the responses in the L and L + T conditions were significantly different.17
To test whether touch modulated the latency of Aδ-LEPs, we conducted an omnibus analysis of variance on the latency of the Aδ-N1, Aδ-N2, Aδ-P2, and Aδ-P4 peaks, with 2 within-subject factors: “condition” (2 levels: L, L + T) and “wave” (4 levels: N1, N2, P2, P4). In 2 of 21 participants, no Aδ-P4 waves were detectable in the L + T condition. These 2 participants were excluded from the latency analysis.
2.7.3. C-laser-evoked potentials
“Ultralate” LEP waves, reflecting the cortical response elicited by the afferent C-fiber input, are notoriously variable across individuals. To minimize interindividual variability, LEP waveforms were peak aligned using a validated procedure.15 Briefly, single-subject peak latencies of the Aδ-N2, Aδ-P2, C-N2, and C-P2 waves were first aligned to their respective averages, and then the amplitude of the signal between each pair of consecutive LEP waves was linearly interpolated. This procedure yielded 1 aligned LEP waveform for each subject and condition, in which the peak latencies of Aδ-N2, Aδ-P2, C-N2, and C-P2 were identical across all subjects. To compare C-LEPs in the L and L + T conditions, we performed the same point-by-point analysis with cluster-level permutation testing used for Aδ-LEPs.
2.8. Laser blink reflex analysis
Electromyographic data were also preprocessed and analysed using Letswave. Continuous EMG data were high-pass filtered at 55 Hz, segmented into epochs using a time window ranging from −1 to +2 seconds relative to the onset of the laser stimulus, and full-wave rectified. Extracted epochs were averaged for each subject and condition. To compare the LBR response in the L and L + T conditions, we performed the same point-by-point analysis with cluster-level permutation testing used for Aδ and C-LEPs.
3.1.1. Probability of detection
The probability of detecting the laser stimulus was significantly reduced in the L + T condition (mean ± SE, 96.4% ± 1%) relative to the L condition (mean ± SE, 99.3% ± 0.3%; Wilcoxon signed rank test, P = 0.003; Fig. 2A). This finding is in line with previous evidence.36
3.1.2. Perceived intensity
Subjective pain intensity was also significantly reduced in the L + T (mean rating ± SE, 25.4 ± 4.7) relative to the L condition (mean rating ± SE, 33.4 ± 4.8; Wilcoxon signed rank test, P < 0.0001). Figure 2B shows that touch-induced analgesia, demonstrated by a reduction in pain intensity ratings, was present in 19 of 21 participants.
3.1.3. Quality of sensation
The frequency of occurrence of the different descriptors is shown in Figure 2C. The label “pinprick,” which represents an established correlate of Aδ-fiber activation fibers,1 was chosen in 91.8% ± 1.5% of trials in the L condition but only in 49.6% ± 6.6% of trials in the L + T condition (Wilcoxon signed rank test, P < 0.0001).
3.2. Tactile modulation of Aδ-laser-evoked potentials
Figure 3 depicts the grand average LEP waveforms in the L and L + T conditions, at electrodes Cz and C3, together with the scalp topographies of the main waves at their peak latencies (Aδ-N1, Aδ-N2, Aδ-P2, and Aδ-P4). Touch had a dramatic modulatory effect on all Aδ-LEP waves. Importantly, this modulation was highly consistent across participants, as demonstrated by a reduction of Aδ-LEP amplitudes in every single participant (Fig. 3, right insets).
3.2.1. Response amplitude
The point-by-point t test (Fig. 3) showed that the amplitude of LEPs in the L + T condition was significantly reduced relative to the L condition in 2 time windows: 148 to 222 milliseconds, encompassing the latency of the Aδ-N1 and Aδ-N2 waves, and 228 to 436 milliseconds, encompassing the latency of the Aδ-P2 wave. The scalp distribution of these significant differences (represented using statistical t values) is also shown in Figure 3. In the first time window, the modulatory effect of touch extended bilaterally towards the temporal regions, whereas in the second time window it was more centrally distributed.
To further test the touch-induced modulation of the Aδ-N1 and Aδ-P4 waves, we also performed a point-by-point t test on the waveform obtained from the central electrode contralateral to the stimulated hand (C3). There was a significant reduction of LEP amplitude in several time intervals: 141 to 202 milliseconds, encompassing the latency of the Aδ-N1 wave,58 222 to 309 milliseconds and 328 to 436 milliseconds, encompassing the latency of the Aδ-P4 wave,16 and 520 to 610 milliseconds. The topography of the statistical t values (Fig. 3) clearly shows that, at the latency of the Aδ-N1 peak, the L and L + T conditions maximally differed at the level of central electrodes. This is in line with previous evidence that the Aδ-N1 is generated by somatotopically-arranged primary sensorimotor regions.16,58
3.2.2. Response latency
Finally, we investigated whether touch modulated the peak latency of the Aδ-N1, Aδ-N2, Aδ-P2, and Aδ-P4 waves. The omnibus analysis of variance revealed significant main effects of both “condition” (F1,18 = 17.34, P = 0.001) and “wave” (F3,54 = 391.03, P < 0.0001). Furthermore, there was a significant interaction between “condition” and “wave” (F3,54 = 3.43, P = 0.023). We explored this interaction with Bonferroni-corrected t tests (resulting in α = 0.0125, 2-tailed) comparing the peak latency of each Aδ-LEP wave between the 2 conditions. There was a significant increase of the latency of both the Ad-N1 (t20 = 24.28, P < 0.0001), Ad-N2 peaks (t20 = 26.49, P < 0.0001), and Ad-P4 (t18 = 22.25, P = 0.037) in the L 1 T relative to the L condition (Fig. 3). In contrast touch did not significantly alter the latency of the Ad-P2 wave (t20 = 20.23, P = 0.819).
3.3. Tactile modulation of C-laser-evoked potentials
Figure 4 shows the grand average LEP waveforms in the L and L + T conditions, at Cz, after peak alignment. Similarly to Aδ-LEPs, C-LEPs were also strongly suppressed by tactile input. The point-by-point paired sample t test comparing LEP waveforms showed that there was a significant amplitude reduction in the L + T condition in the 743 to 884 milliseconds time interval, encompassing the latency of the C-N2 wave. There was also a trend for smaller amplitude in the L + T condition in the time window of the C-P2 wave.3,15
3.4. Modulation of the laser blink reflex
Figure 5 shows the average LBR waveforms in the L and L + T conditions. In both conditions, laser stimulation of the hand evoked a clear blink reflex with an onset latency of approximately 110 milliseconds. As previously described,52 this LBR onset latency reflects the conduction velocity of Aδ afferents. Crucially, the LBR magnitude was significantly reduced in the L + T condition compared with the L condition. Point-by-point t tests revealed a significant reduction between 118 and 160 milliseconds after stimulus onset (Fig. 5).
This study yielded 2 key findings: (1) the LBR, a marker of subcortical nociceptive processing at brainstem level, was clearly suppressed by concomitant touch and (2) the earliest cortical response to nociceptive input (ie, the Aδ-N1 wave), which reflects the first arrival of the ascending nociceptive input to the cortex, was also strongly suppressed. These findings indicate that touch inhibits a concomitant nociceptive input at subcortical level, in line with experimental findings in spinal animals.4,38 Our results do not exclude the possibility that supraspinal mechanisms contribute to touch-induced analgesia in humans. However, they provide evidence that supraspinal mechanisms alone do not mediate touch-induced analgesia, as a number of studies have previously suggested.19,46
4.1. Tactile modulation of pain perception
We all have experienced that touching a sore skin region or its surroundings relieves pain. Here, we provide a quantitative characterization of this phenomenon. Indeed, a brief stimulation of Aβ afferents significantly reduced the probability to detect a concurrent laser pulse (Fig. 2). Furthermore, when the laser pulse was detected, its intensity was perceived as lower, and its quality less frequently described as “pinprick” compared with when the laser pulse was delivered in isolation (Fig. 2).
Our results are consistent with several reports of pain relief as effect of other types of innocuous Aβ stimulation, including brushing, vibration, and transcutaneous electrical stimulation.19,22,23,34,46 These analgesic effects strongly depend on the relative spatial location of the tactile and nociceptive stimuli within the same dermatome. In general, the closer the Aβ and Aδ stimuli, the more powerful the analgesia.36
4.2. Tactile modulation of subcortical nociceptive responses
High-energy laser stimulation of intraepidermal free nerve endings elicits a clear blink reflex in the orbicularis oculi muscle (LBR; Fig. 5). The LBR is a well-characterized response: it is entirely mediated by a subcortical circuit at brain stem level31,39 and is a purely nociceptive reflex, as showed by its sensitivity to the opiate fentanyl.49
We recorded a clear LBR and observed that it was inhibited by concomitant Aβ input (Fig. 5). This finding is important, as the LBR circuitry is engaged well before the nociceptive input reaches its cortical targets. Therefore, the notion that supraspinal mechanisms entirely mediate touch-induced analgesia19,46 seems unlikely. Instead, our findings indicate that touch-induced analgesia is most likely consequent to a subcortical gating of the ascending nociceptive input, which in turn results in a modulation of higher-level cortical responses. This is in line with previous evidence of spinal gating of nociceptive inputs by concomitant tactile stimulation, such as the inhibition of the spinal withdrawal reflex (RIII) by transcutaneous electrical nerve stimulation.8,14
4.3. Tactile modulation of cortical responses elicited by nociceptive input
Laser-generated radiant heat pulses selectively activate both Aδ- and C-fiber free nerve endings in the epidermis.6,7,15 However, because of the different conduction velocity of thinly myelinated Aδ fibers and unmyelinated C fibers, laser pulses elicit a typical double sensation: an initial Aδ-fiber-related pricking pain is followed by a C-fiber-related burning pain.32
Laser-evoked potentials show clear components at latencies compatible with the conduction velocity of Aδ fibers.6 The components reflecting the later arrival of the C-fiber input to the cortex33,45 are much more difficult to detect because of the lower saliency content of the C-fiber sensation after the Aδ-fiber sensation. For this reason, C-LEPs have been initially suggested to be only detectable when the concomitant activation of Aδ fibers was avoided or reduced.41,45 However, it has been recently shown that when (1) laser pulses are delivered within a small skin territory and (2) LEP peaks are aligned in the time domain, C-LEPs can be clearly detected even when preceded by an Aδ-LEP.15 Indeed, given the slow and variable conduction velocity of C fibers,55 changes of just 1 cm in their length result in latency shifts of ∼10 milliseconds.15 Traditionally, LEPs are recorded by randomly shifting the laser beam within a large area (eg, 5 × 5 cm2) of the hand or foot dorsum, a procedure that would introduce a significant jitter in arrival time at the cortex. In contrast, when laser pulses are delivered to a small transversal area on the hand dorsum, the conduction distance to the cortex is held constant; hence, the latency jitter of the C-LEP response is dramatically reduced, enhancing C-LEP detectability.
Here, we used exactly this approach to dissect the modulatory effect of touch on the cortical responses elicited by Aδ- and C-fiber stimulation. We found that the amplitude of nearly all components of both Aδ-LEPs and C-LEPs was suppressed by Aβ input. Importantly, tactile input strongly reduced the magnitude of the earliest cortical component of Aδ-LEPs, the Aδ-N1 wave, which reflects the arrival of the ascending nociceptive input to the cortex. Indeed, the modulatory effect of Aβ on the Aδ-LEP waveform started as early as 125 milliseconds poststimulus and was maximal over the central–parietal electrodes contralateral to the stimulated side (Fig. 3).57 The Aδ-N1 is generated in the primary somatosensory cortex,12,13,54,58 and its amplitude is strongly related to the magnitude of the incoming nociceptive input.26 The observation that the LEP components reflecting the first arrival of the nociceptive input to the cortex are already inhibited by concomitant Aβ stimulation is consistent with the view that touch-induced analgesia is mediated by a gating of the nociceptive afferent input at subcortical level.
Furthermore, we found that the peak latency of the first 2 Aδ-LEP components (the Aδ-N1 and Aδ-N2 waves) was increased in the L + T relative to the L condition, whereas that of the late components was not. This observation is also important, as selective modulation of the latency of early components of the evoked potential is more likely to reflect modulation of the physiological properties of the incoming nociceptive volley.18
The biphasic vertex potential (Aδ-N2 and Aδ-P2 waves) following the Aδ-N1 wave was also modulated by Aβ input. In contrast to the Aδ-N1, the Aδ N2–P2 complex reflects multimodal neural activities43 and is thought to be contributed by neural activity arising from the bilateral operculoinsular and anterior cingulate cortices.13,29,30 The inhibition of the Aδ N2–P2 complex by concomitant Aβ stimulation is consistent with previous reports19,23,25,44 and is also parsimoniously explained by a subcortical gating of the afferent nociceptive input.
Furthermore, the late Aδ-P4 wave was also inhibited by concomitant Aβ stimulation (Fig. 3). The Aδ-P4 is a positive wave appearing at the latest part of the Aδ-LEP waveform. Scalp topography, functional microstate, and source analysis indicate that the Aδ-P4 is a functionally independent LEP component, reflecting a late somatotopically organised activation of the primary sensorimotor cortex.16 Interestingly, both the latency and amplitude variability of the Aδ-P4 wave are strongly coupled to those of the Aδ-N1 wave on a trial-by-trial basis but not to those of the Aδ-N2/P2 waves—a result suggesting that the Aδ-N1/P4 components are generated in parallel to the Aδ-N2/P2 components.16 Indeed, these waves can be independently modulated, eg, by cognitive factors such as spatial attention.27,28 Thus, the present evidence that Aβ input suppresses both early and late Aδ-LEP components further indicates that touch-induced analgesia is mediated by bottom-up, rather than top–down inhibition.
The cortical response evoked by C-fiber input was also suppressed by tactile stimulation (Fig. 4). This observation demonstrates that Aβ input inhibits the afferent volley ascending within both the Aδ and C pathways. No previous work explored the effect of touch on C-LEPs. One study attempted to evaluate the specific effect of Aβ stimulation on C-fiber function, by inducing an ischemic block of myelinated afferents and showed no significant modulation of C-evoked pain.48 This negative result is likely explained by the long distance between the Aβ- and C-fiber stimuli, which were delivered on the shoulder and on the forearm, respectively. Indeed, as we have already discussed, touch–pain interactions are strongly dependent on the spatial proximity between tactile and nociceptive stimuli.36,51
Evidence of tactile modulation of C-fiber activity is clinically relevant because C fibers drive central sensitization,59 which underlies several clinical pain conditions.20 Indeed, transcutaneous electrical nerve stimulation has been demonstrated to be effective in temporarily relieving hyperalgesia in musculoskeletal and postoperative pain.2,21 The present evidence of tactile gating of C-fiber responses may provide a neurophysiologic substrate for these clinical observations.
Conflict of interest statement
The authors have no conflicts of interest to declare.
F. Mancini, P. Haggard, and G. D. Iannetti were supported by a Wellcome Trust Project Grant (094863/Z/10/Z). F. Mancini and G. D. Iannetti are also supported by a Wellcome Trust strategic award (COLL JLARAXR). P. Haggard is additionally supported by an ESRC Professorial Fellowship (ES/J023140/1) and by EU project VERE WP1 (257695). A.-L. Beaumont was supported by a studentship from the Fondation Bettencourt Schueller. L. Hu is supported by the National Natural Science Foundation of China (31200856 and 31471082).
Author contributions: F. Mancini and A.-L. Beaumont contributed equally to this work.
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