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. Author manuscript; available in PMC: 2021 Mar 1.
Published in final edited form as: J Pain. 2019 Aug 1;21(3-4):306–323. doi: 10.1016/j.jpain.2019.07.003

The role of heart rate variability in mindfulness-based pain relief

Adrienne L Adler-Neal 1, Christian E Waugh 2, Eric L Garland 3, Hossam A Shaltout 4,5, Debra I Diz 4, Fadel Zeidan 1,6
PMCID: PMC6994350  NIHMSID: NIHMS1536297  PMID: 31377215

Abstract

Mindfulness meditation is a self-regulatory practice premised on sustaining non-reactive awareness of arising sensory events that reliably reduces pain. Yet, the specific analgesic mechanisms supporting mindfulness have not been comprehensively disentangled from the potential non-specific factors supporting this technique. Increased parasympathetic nervous system (PNS) activity is associated with pain relief corresponding to a number of cognitive manipulations. However, the relationship between the PNS and mindfulness-based pain attenuation remains unknown. The primary objective of the present study was to determine the role of high frequency heart rate variability (HF HRV), a marker of PNS activity, during mindfulness-based pain relief as compared to a validated, sham-mindfulness meditation technique that served as a breathing-based control. Sixty-two healthy volunteers (31 females; 31 males) were randomized to a four-session (25 minutes/session) mindfulness or sham-mindfulness training regimen. Before and after each group’s respective training, participants were administered noxious (49°C) and innocuous (35°C) heat to the right calf. HF HRV and respiration rate were recorded during thermal stimulation and pain intensity and unpleasantness ratings were collected after each stimulation series. The primary analysis revealed that during mindfulness meditation, higher HF HRV was more strongly associated with lower pain unpleasantness ratings when compared to sham-mindfulness meditation (B = −0.82, p = 0.04). This finding is in line with the prediction that mindfulness-based meditation engages distinct mechanisms from sham-mindfulness meditation to reduce pain. However, the same prediction was not confirmed for pain intensity ratings (B = −0.41). Secondary analyses determined that mindfulness and sham-mindfulness meditation similarly reduced pain ratings, decreased respiration rate, and increased HF HRV (between group ps < 0.05). More mechanistic work is needed to reliably determine the role of parasympathetic activation in mindfulness-based pain relief as compared to other meditative techniques.

Keywords: mindfulness meditation, heart rate variability, pain, placebo

INTRODUCTION

Non-pharmacological therapies, such as mindfulness-based regimens 61, are often characterized as safe99 and effective approaches to treat clinical pain. Mindfulness meditation is a self-regulatory practice premised on sustaining non-reactive attention to arising sensory events that reproducibly reduces pain symptomology in response to clinical 16, 19, 38, 41, 64, 65, 80, 81 and experimentally induced pain 10, 33, 46, 47, 73, 90, 129, 131, 132, 136. Yet, the corresponding mechanistic underpinnings of mindfulness-based practices remain poorly characterized 111. In spite of the commonly held assumption that meditation engages mechanisms supporting placebo, placebo-controlled mindfulness studies have been limited. Benefits related to participating in mindfulness interventions may simply be associated with a spectrum of non-specific factors (conditioning, facilitator attention, social support, body posture, and/or demand characteristics). To better address this issue, we recently developed and validated a sham-mindfulness meditation comparison condition to control for these non-specific factors. 131, 135. This breathing control condition did not include the specific cognitive stance supporting mindfulness. In brief (see Methods for more details), the sham-mindfulness meditation condition consists of a self-facilitated technique practiced by sitting with the eyes closed and taking deep breaths every few minutes. This practice significantly lowers pain, anxiety, and respiration rate 131, 135. Preliminary evidence shows that mindfulness engages distinct mechanisms from this sham-mindfulness meditation condition to reduce pain 131. As adapted in our laboratory, mindfulness meditation-based pain relief is associated with multiple neural mechanisms supporting the cognitive regulation of ascending nociceptive processing [↑ prefrontal (PFC) and ↑perigenual anterior cingulate cortex (pgACC); ↓thalamus] 136 and engages non-opioidergic endogenous systems 78, 129. In contrast, this sham-mindfulness meditation comparison condition employs neural mechanisms reflecting lower cognitive control (↓ pgACC) and higher sensory processing (↑thalamus) during noxious heat 131. Lower pain reports during sham-mindfulness meditation are associated with lower respiration rates 131, consistent with mechanisms involved in relaxation 5. However, we have yet to determine if mindfulness-based pain relief engages physiological processes that are distinct from placebo-based pain reductions.

In particular, the mechanistic role of the autonomic nervous system (ANS) in mindfulness-based pain relief remains unknown. The ANS is critical for homeostatic control of heart rate, blood pressure, and body temperature, among other physiologic functions 25. Heart rate variability (HRV), defined as the variability in the time between adjacent heartbeats, is an index of parasympathetic and sympathetic activity 9, 12, 23, 79 and autonomic flexibility 59. Parasympathetic input to the heart is mediated by the vagus nerve, which exerts its effects on cardiac rhythm more rapidly than sympathetic fibers 9, 12, 23. Thus, high frequency changes in heart rate [0.15 – 0.40 Hz; HF HRV] are largely driven by parasympathetic activation 9, 12, 23.

Importantly, lower HF HRV is a corollary marker of higher pain ratings during experimentally induced pain 121, 139 and clinical pain 7, 20, 44, 91, 121. In contrast, slow, rhythmic breathing, a pain relieving practice associated with some meditative practices 8, 47, lowers pain and increases HF HRV 17, 77. During normal breathing, changes in blood pressure activate the baroreceptor reflex, producing vagally mediated decreases in heart rate 11, 29, 54. Progressive breathing reductions increase baroreceptor reflex sensitivity, resulting in higher HF HRV 29, 54. Mindfulness meditation engages neural mechanisms supporting cortical control of vagal activity 3, 4, 6, 18, 100, 115 and increases HF HRV 2, 36, 71, 84, 112. However, it is not known if heightened parasympathetic tone is related to the pain-relieving effects of mindfulness meditation.

Placebo-based pain reductions are not mediated by increased parasympathetic activity 62, 92, 120. As adapted in our laboratory, the sham-mindfulness meditation comparison condition engages mechanisms supporting placebo 130, 138. Thus, we postulated that increases in HF HRV would not be associated with sham-mindfulness meditation-induced pain relief after controlling for the influence of respiration rate on HF HRV. HF HRV is associated with higher cognitive control 86, 87, an outcome that is enhanced by mindfulness training 1, 37, 83, 134. Thus, the primary hypothesis was explicitly powered to test if pain relief is more strongly associated with HF HRV during mindfulness meditation than during sham-mindfulness meditation (Hypothesis 1). Secondary analyses tested between-group differences in HF HRV, respiration rate, pain relief, and perceived meditative efficacy 130. We predicted that the two meditation techniques would increase HF HRV (Hypothesis 2a) and lower respiration rate130 (Hypothesis 3a) and there would be no between group differences on HRV (Hypothesis 2b) and respiration rate (Hypothesis 3b).

MATERIALS AND METHODS

Participants

Study exclusion criteria included individuals with mental illnesses, personality disorders, hypertension, chronic heart, lung, or ongoing pain condition, and those using psychotropic, pain, cardiac medications, or any nicotine products. Participants were instructed to refrain from caffeine and alcohol for 12 hours and exercise for 24 hours prior to participation in the pre-intervention and post-intervention sessions due to the influence of these variables on autonomic activity 12. Two participants reported prior experience with meditation practices (1 mindfulness meditation group member; 1 sham-mindfulness meditation group member). Wake Forest School of Medicine’s Institutional Review Board approved all study procedures. All subjects provided written, informed consent recognizing that they would experience painful heat stimuli, that all methods were clearly explained, and that they were free to withdraw from the study at any time without prejudice. Outlier detection methods were conducted prior to data analyses to identify participants exhibiting extreme HF HRV values 122.

Sample size determination

To test the primary hypothesis, sample size determination (G*Power, 3.1.9.4; Test family: F tests; statistical test: Linear multiple regression, Fixed Model, R2 increase; Effect size: Partial R2 = 0.13; f2 = 0.15; Alpha error probability: 0.05; power = 0.848; Number of tested predictors = 1; Total number of predictors = 8) was based on our previous studies’ effect sizes assessing changes in respiration rate and pain during mindfulness meditation 129, 131, 136. Sixty-two participants (n = 31/group) were estimated to provide 85% power (p < 0.05) to detect a medium effect size (R2 = 0.13) to determine if mindfulness-based pain relief would be associated with greater HF HRV when compared to sham-mindfulness meditation.

We planned to recruit 70 participants to better account for statistical power due inter-individual HRV variability 98 but did not reach the target sample size due to the departure of key study personnel, necessitating the early closure of the study. Nevertheless, 66 participants successfully completed the study. Four participants completed the study but were subsequently removed from the final analysis due to HRV-related outliers (n = 3) and improper procedural adherence (n = 1) (See Participants for more details). Thus, there were a total of 62 participants analyzed in the present study.

Randomization procedure

All participants were recruited, screened, and randomized to one of the two mental training regimen groups by a study coordinator not involved in any data collection after the first study session. The randomization sequence was determined before study recruitment was initiated and all participants provided consent. The two arms (mindfulness meditation = A; sham-mindfulness meditation = B) were permuted with respect to treatment assignment and stratified across cohort-block sizes of 2, 4, and 6. Due to the influence of age on HF HRV 56, 72, 103, randomization was stratified, using an Excel based random number generator, by age (within five years) between the two groups employing their respective list of randomization codes. All participants were randomized into one of the two groups regardless of when they were screened and entered the study. After successful completion of the pre-intervention session (experimental session 1), the experimenter was informed of the respective participant’s group assignment by study coordinator via an email and all participants were told that they had been randomly assigned to the mindfulness meditation intervention (regardless of group assignment). As such, the experimenter was not aware of the participant’s group assignment until after completion of experimental session 1. If a participant was dismissed from the study (for whatever reason), we made a record of the reason and proceeded with the randomization procedure for the next cohort(s). Participants were debriefed as to the differences in sham-mindfulness vs. mindfulness meditation in an email after the conclusion of the study.

Stimuli

A TSA-II device (Medoc Inc.) was used to deliver all thermal stimuli using a 16mm2 surface area thermal probe to the left arm (psychophysical training session) or back of the right leg (experimental sessions). This modest stimulus area allows a relatively wide range of noxious stimuli to be delivered. All stimulus temperatures were ≤ 49°C. Subjects placed the back of their right calf on the thermal probe and were free to lift their limb at any time. No stimuli produced any tissue damage. For the present study, innocuous stimulation was characterized by neutral series consisting of continual 35°C stimulation. Noxious stimulation were labeled heat series that included ten alternating, twelve second plateaus of 49°C interleaved with eight seconds of 35°C 129, 131, 136.

Psychophysical assessment of pain

Pain intensity and unpleasantness ratings were assessed separately using a 15 cm, 11-point plastic sliding visual analog scale (VAS) 95. The minimum rating (“0”) was designated as “no pain sensation” or “not at all unpleasant,” whereas the maximum rating (“10”) was labeled as “most intense pain imaginable” or “most unpleasant pain imaginable,” respectively. Participants were instructed that, “the distinction between the two aspects of pain might be made clearer if you think of listening to a sound, such as a radio. The intensity of pain is like loudness; the unpleasantness of pain depends not only on intensity, but also on other factors which may affect you” 97. These scales provide reliably separate assessments of pain intensity and unpleasantness, are internally consistent, and approximate ratio scale measurement accuracy 94.

Psychological measures

Perceived intervention effectiveness

As previously 131, “perceived meditative effectiveness” was assessed with an 11-point plastic sliding VAS (“0” = not effective at all; “10” = most effective imaginable) after the completion of each of the mental training sessions. Participants were asked to provide VAS responses to the following question: “How effectively did you meditate?” This measure served as a manipulation check of the sham-mindfulness meditation regimen by verifying that training led participants to believe they were practicing mindfulness meditation 131.

Physiological measures

Physiological acquisition

All participants were fitted with electrocardiography (ECG) sensors using a lead I configuration, where the positive electrode is placed on the left upper chest under the clavicle and the negative electrode is placed on the right upper chest directly under the clavicle 70. Respiration was measured with a respiratory transducer belt that was placed around the participant’s chest close to the diaphragm (Biopac MP100, AcqKnowledge; Biopac Systems, Goleta, CA). Subjects were fitted with these instruments before heat testing. All physiological activity was recorded at a rate of 1 kHz with an integrated software system (Biopac MP100, AcqKnowledge; Biopac Systems, Goleta, CA).

Physiological signal processing

All physiological data were processed using Autonomic Nervous System Laboratory software (ANSLab v2.51) 126. The following standardized procedures were employed to collect and analyze ECG data and HF HRV values 12. First, cardiovascular data were visually inspected for artifacts and missing R-peaks. Missing R-peaks were determined based upon intervals between adjacent R-peaks that appeared too long or too short 12. If an R-peak was missing, an R-peak was inserted at a time-point halfway between the two adjacent R-peaks (to preserve variability this insertion was not done more than once per minute). Fast Fourier Transformation was then performed on ECG data. HF HRV was calculated as the natural log of the high frequency power (0.15 – 0.40 Hz), a measurement shown to indicate vagal input to the heart 9, 12, 23. Respiration rate was calculated as the average number of breaths per minute (min).

Study Design

Experimental sessions 1–6 were conducted on separate days (Figure 1).

FIGURE 1. Overview of Experimental Design. First column, Pre-intervention session.

FIGURE 1.

We collected baseline respiration rate and HF HRV while participants were asked to “rest quietly” in a supine position. Participants then underwent psychophysical training (PT) where they were familiarized with the Visual Analog Scales (VAS) and the range of thermal stimuli. All participants were administered two neutral and two heat thermal stimulation series in the order neutral, heat, neutral, heat. Pain intensity and pain unpleasantness ratings were collected after each thermal series. Participants were then randomly assigned to a mindfulness meditation or a sham-mindfulness meditation group after completion of the pre-intervention session. Second column, Sessions 2–5. Subjects participated in four sessions (25m/d) of mindfulness meditation or sham-mindfulness meditation training. Third column, Post-intervention session. Baseline measures of respiration rate and HF HRV were collected while participants were instructed to “rest quietly” in the supine position. VAS ratings of pain intensity and pain unpleasantness were collected after all thermal series. Two neutral and two heat series were administered in the order neutral, heat, neutral, heat while subjects were instructed to “rest comfortably” and “not to meditate” (i.e., Rest + Stimulation). Subjects in both groups were then instructed to “begin meditating and continue meditating for the remainder of the experiment.” Participants were provided ten minutes to meditate (Meditation). Subsequently, all participants were administered two neutral and two heat series in the order neutral, heat, neutral, heat while they continued to meditate (Meditation + Stimulation). Participants were provided two minutes to meditate in between each of the thermal series.

Experimental session 1: pre-intervention session

7 minute physiological recording

After obtaining consent, all subjects were fitted with a respiratory transducer and ECG sensors. Participants then were instructed to “rest comfortably” in a supine position during physiological measurement recordings (7min 39s). The first three minutes of this time period were collected as an acclimation period to allow participants to adapt to the ECG sensors, respiration belt, and experimental setting 12. The remaining time (4min 39s) was used to collect baseline respiration rate and HF HRV and matched the experimental procedures employed in the subsequent experimental sessions.

Psychophysical Training

All participants then underwent psychophysical training (PT), where they were familiarized with 32, five-second stimuli (35–49°C) and trained to use the VAS. During PT, stimuli were delivered to the ventral aspect of the left forearm. The thermal probe was moved to a new location after each stimulus to reduce habituation and/or sensitization. No physiological data were collected during PT.

Baseline heat testing (Rest + Heat)

Two neutral and two heat series were administered in the following order (neutral-1, heat-1, neutral-2, heat-2; each series = 4min 39s) to all participants. VAS pain intensity and unpleasantness ratings were collected after each series. After each series, participants were instructed to “rate the feeling of pain (pain intensity and unpleasantness, respectively) for the overall experience” of each heat and neutral series. Physiological data were collected throughout each thermal stimulation series. The thermal probe was moved to a new location on the right calf after each series to reduce stimulus habituation and sensitization. Care was taken to place the thermal probe within the middle of the lower leg (i.e. on the calf muscle) as to avoid individual variability related to probe placement.

Intervention Training

Three trained mindfulness and sham-mindfulness interventionists facilitated the mindfulness and sham-mindfulness meditation interventions to better attenuate intervention variability130, 135.

Experimental session 2–5: mindfulness meditation training

As previously 129, 131, 136, subjects in the mindfulness meditation group participated in four separate sessions (25 min/session) of mindfulness-based mental training within seven days. Meditation training was introduced to subjects as a secular practice. While the majority of training sessions occurred in-group settings (2–5 people), three mindfulness meditators were trained in a one on one setting due to scheduling conflicts and/or participant drop-outs. Across all training sessions, subjects were trained to focus on the changing sensations of the breath and to non-reactively appraise arising sensations, thoughts, and feelings. Time spent providing guided meditation instructions were progressively reduced across meditation training days to allow subjects to meditate in silence 129, 131, 134137.

As previously employed 129, 132, 134137, participants were trained to focus on the breath sensations arising from the nose, chest, and abdomen in each training session. When their respective attention to breath sensations drifted, participants were taught to acknowledge arising thoughts, feelings, and/or emotions without reaction and to return “their attention to the sensations of the breath” in a repetitive fashion. Subjects were also taught that perceived sensory/affective events were “momentary” and “fleeting” and did not “require further evaluation”. During meditation training sessions 1 and 2, participants were primarily instructed to focus on the breath sensations occurring “at the tip of the nose” and to expand their focus to the “full flow of the breath,” including bodily sensations (e.g., rise and fall of the abdomen and chest). During meditation training sessions 3 and 4, subjects received minimal meditation instructions and meditated while in a supine position in order to better acclimate to the positioning in the postintervention session. Participants were not instructed to practice outside of training.

Experimental session 2–5: sham-mindfulness meditation training

The main purpose of the sham-mindfulness meditation intervention was to lead participants to believe they were practicing mindfulness meditation without providing the explicit instructions related to attending to the breath and engaging a non-reactive cognitive stance towards distractions 131, 135. As previously described 131, 135, participants in the sham-mindfulness meditation group were told that they had been randomly assigned to the mindfulness meditation group. Most to all sessions were conducted in groups of two to 5 individuals. Six sham-mindfulness meditators were trained on a one on one basis due to their respective unforeseen scheduling conflicts and/or participant dropouts. The introduction to the practice was matched to the one described for the mindfulness meditation group (i.e., secular). In each of the four training sessions (within seven days; 25 min/session), subjects were instructed “to close their eyes and to take a deep breath” every 2–3 minutes “as we sit here in mindfulness meditation” 131, 135. All other aspects of the sham-mindfulness meditation intervention (i.e., body position; intervention room; facilitator; eyes closed) matched the mindfulness meditation-training regimen. During meditation training sessions 3 and 4, participants meditated while in a supine position to better acclimate to the positioning in the post-intervention session. Subjects were not instructed to practice outside of training.

Experimental Session 6: post-intervention session

Rest + Stimulation

Similar to the pre-intervention session, participants were instructed to “rest comfortably” in a supine position and “to not meditate” during physiological recording (7 min 39 sec). The first three minutes of this time period was not analyzed because it was used to allow participants to acclimate to the sensors and testing environment 12. The remaining time was used to assess respiration rate and HF HRV after participation in the intervention sessions.

Subsequently, participants were fitted with the thermal probe on the right calf and were administered two neutral and two heat series in the following order (neutral-1, heat-1, neutral-2, heat-2). Participants provided VAS pain intensity and unpleasantness ratings after each series. The thermal probe was moved to a new location on the right calf after each series. Physiological data were collected during all thermal stimulation series in the post-intervention session.

Meditation

After the first four thermal stimulation series, participants in both groups were instructed to “begin meditating and continue meditating for the remainder of the experiment.” They were provided ten minutes to meditate before the initiation of the noxious heat stimulation. Physiological data were collected continuously throughout “meditation.”

Meditation + Stimulation

After ten minutes of mindfulness meditation or sham-mindfulness meditation, two neutral and two heat series (neutral-3, heat-3, neutral-4, heat-4) were administered. In order to not disturb participants’ meditation practice, subjects were not informed that they would be administered a thermal stimulus immediately prior to neutral-3. The thermal probe was moved to a new location on the right calf after each series. Participants provided VAS ratings of pain intensity and pain unpleasantness after each thermal series.

Analysis of behavioral and physiological data

In all ANOVAs (SPSS 19.0 IBM, Armonk, New York), significant (p < 0.05) main effects and interactions were investigated with a priori simple effects tests. For all references pertaining to the post-intervention session and both groups, 1) the delineation “rest” corresponds to data collected before subjects practiced mindfulness or sham-mindfulness meditation, and, 2) the term “meditation” corresponds to data collected during mindfulness meditation and sham-mindfulness meditation. It is important to note that we were powered to explicitly test the primary analysis.

Primary Analysis

Is mindfulness-based pain relief associated with greater HF HRV when compared to sham-mindfulness meditation?

Two separate moderated analyses with pain intensity and pain unpleasantness ratings designated as the dependent variables, respectively, were conducted to test the primary hypothesis. Pain ratings during rest and heat series and meditation and heat series were averaged separately. Rest and meditation-related respiration rate and HF HRV were averaged across neutral and heat series values, respectively (i.e. Rest + Stimulation; Meditation + Stimulation). Group and HF HRV during meditation was multiplied to create the interaction term (group × meditation HF HRV) 55.

Age, rest-related pain ratings, respiration rate during rest, HF HRV during rest, respiration rate during meditation, “group”, HF HRV during meditation, and group × meditation HF HRV were entered in the analyses, respectively 21. Significant interactions were investigated with a priori within group analyses to determine if the strength of the association between HRV and pain differed between mindfulness and sham-mindfulness meditation.

Secondary Analyses: Pre-Intervention Heart Rate Variability and Respiration Rate

For pre-intervention session analyses, two separate 2 (group: mindfulness vs. sham-mindfulness) × 2 (stimulation: heat vs. neutral) mixed ANOVAs were conducted on HF HRV and respiration rate across heat and neutral series, respectively. This was performed to verify that there were no group differences in HF HRV or respiration rate at baseline.

Secondary Analyses: Post-Intervention Heart Rate Variability & Respiration Rate

Two separate 2 (group: mindfulness vs. sham-mindfulness) × 2 (manipulation: rest vs. meditation) × 2 (stimulation: heat vs. neutral) mixed ANOVAs were performed on HF HRV and respiration rate, respectively, to determine if both groups would increase HF HRV (Hypothesis 2a) and lower respiration rate (Hypothesis 3a). We predicted that there would be no between group differences on these outcomes (Hypothesis 2b & 3b).

Secondary Analyses: Pain Ratings

Pain intensity and unpleasantness ratings were examined separately. A 2 (group: mindfulness vs. sham-mindfulness) × 2 (manipulation: rest vs. meditation) mixed ANOVA was conducted on post-intervention session pain ratings with “manipulation” as the within-subjects factor to assess if mindfulness and sham-mindfulness meditation lowered pain ratings. Pre-intervention pain intensity and unpleasantness ratings were entered as a covariate to control for pre-intervention pain ratings, respectively.

Secondary Analyses: Perceived Intervention Effectiveness

A 2 (group: mindfulness vs. sham-mindfulness) × 4 (session: meditation training sessions 1, 2, 3, and 4) mixed ANOVA was conducted on “perceived meditative effectiveness” scores with “group” designated as the between-subjects factor and “session” as the within-subjects factor. This was performed as a manipulation check of our sham-mindfulness meditation technique. However, in order to provide a more complete assessment of our observed data’s support for the null hypothesis (i.e. no difference between groups) versus the alternative hypothesis (i.e. group differences on this outcome), we estimated Bayesian factors for the findings of interest. We used JASP software JASP Team114 with Cauchy null distributions as priors. For the interaction terms, the ratio of the Bayesian factors for the model with and without the interaction term is presented (BFF:R). To interpret the Bayesian factors, values below 1 support the null hypothesis, whereas values above 1 are considered stronger evidence for the alternative hypothesis. Values over 3 represent positive evidence for the alternative hypothesis 66. In summary, this test helps to determine if groups are equivalent or different on perceived meditative effectiveness.

RESULTS

Participants

Seventy-five healthy, pain-free volunteers (age range: 18 – 55 years) provided informed consent in the present study. Nine subjects were dismissed from the study due to scheduling conflicts (n=8) and a psychiatric disorder disclosure (Figure 2). Sixty-six participants successfully completed all study procedures (Figure 2).

FIGURE 2.

FIGURE 2.

Participant inclusion flow diagram. Seventy-five participants provided informed consent for the current study, and 38 individuals were randomized to the mindfulness meditation group whereas 37 participants were randomized to the sham-mindfulness meditation group. Eight participants (4 mindfulness; 4 sham-mindfulness) voluntarily withdrew after signing consent due to scheduling conflicts or unknown reasons and were replaced. One mindfulness meditator was excluded due to disclosure of a psychiatric illness after signing consent. Sixty-six participants (33 mindfulness; 33 sham-mindfulness) completed all study procedures. Data corresponding to 3 individuals (1 mindfulness; 2 sham-mindfulness) were removed from the data set due to significant outlier detection. One mindfulness meditator was removed due to a miscommunication between the participant and researcher leading to the participant meditating during the post-intervention session Rest + Stimulation condition. Consequently, sixty-two participants (31 mindfulness; 31 sham-mindfulness) are included in the final analyses.

Before we tested our hypotheses or analyzed any of our data, routine Tukey outlier hinges detection methods were conducted 122 to identify individuals exhibiting extreme HF HRV values. Subsequently, three individuals (1 female and 1 male sham-mindfulness meditation; 1 male mindfulness meditation group member) were identified as outliers and removed from the final analyses. Each of these three participants exhibited HF HRV values that were less than 1.5 times the interquartile range below the first quartile 122 and were 2.6 to 3 standard deviations (SD) below the mean for each HF HRV value measured in both physiological experimental sessions (i.e. pre/post-intervention sessions, across heat + neutral stimulation series). After all HF HRV values obtained were averaged across both experimental sessions, the three outliers exhibited a mean HF HRV value of 4.66 (SD = 0.16). In contrast, the other sixty-two participants (included in the final analysis) exhibited a mean HF HRV value of 8.11 (SD = 0.97). All analyses were also performed without excluding outliers (see Supplement A). Data from one participant (female mindfulness group member) was removed from the final analysis because the research technician inadvertently miscommunicated with the subject and was directed to and subsequently practiced meditation during the post-intervention session’s Rest + Stimulation condition. Sixty-two participants [mean age (SD) = 31 ± 10 years; 41 = white, 18 = black, and 3 = Asian; 31 females; 31 males] (Table 1) were included in the final analyses. There were no significant differences between groups on age (F(1, 60) = 0.03; p = 0.86, η2p = 0.00) or gender (F(1, 60) = 0.57; p = 0.45, η2p = 0.01; Table 1).

TABLE 1.

Participant demographic, VAS pain intensity and unpleasantness ratings, respiration rate (RR), high frequency heart rate variability (HF HRV), and perceived intervention effectiveness ratings (mean ±SEM).

Variable Mindfulness Meditation Sham-mindfulness Combined
Age 30.77 (1.98) 30.29 (1.78) 30.53 (1.32)
Sex M = 14; F = 17 M = 17; F = 14 M = 31; F = 31
Pre-intervention pain intensity 5.43 (0.40) 4.77 (0.29) 5.10 (0.25)
Pre-intervention pain unpleasantness 6.03 (0.45) 5.10 (0.37) 5.56 (0.29)
Post-intervention Rest pain intensity 5.31 (0.41) 4.82 (0.20) 5.06 (0.23)
Post-intervention Meditation pain intensity 4.09 (0.31) 3.81 (0.27) 3.95 (0.20)*
Post-intervention Rest pain unpleasantness 5.48 (0.43) 5.18 (0.28) 5.33 (0.26)
Post-intervention Meditation pain unpleasantness 3.48 (0.33) 3.38 (0.35) 3.43 (0.24)*
Pre-intervention heat RR 16.65 (0.85) 15.70 (0.63) 16.17 (0.53)
Pre-intervention neutral RR 17.14 (0.65) 16.54 (0.64) 16.83 (0.45)
Pre-intervention heat HF HRV 8.15 (0.20) 8.43 (0.23) 8.29 (0.15)*
Pre-intervention neutral HF HRV 7.96 (0.17) 8.25 (0.21) 8.11 (0.14)
Post-intervention Rest RR heat 17.31 (0.72) 15.89 (0.48) 16.60 (0.44)
Post-intervention Rest RR neutral 17.79 (0.74) 17.18 (0.49) 17.48 (0.44)
Post-intervention Meditation RR heat 11.04 (0.86) 9.96 (0.72) 10.50 (0.56)
Post-intervention Meditation RR neutral 13.83 (0.85) 13.34 (0.64) 13.58 (0.53)
Post-intervention Rest HF HRV heat 7.75 (0.20) 8.27 (0.18) 8.01 (0.14)
Post-intervention Rest HF HRV neutral 7.60 (0.21) 8.07 (0.18) 7.83 (0.14)
Post-intervention Meditation HF HRV heat 8.05 (0.21) 8.45 (0.17) 8.25 (0.13)
Post-intervention Meditation HF HRV neutral 8.14 (0.18) 8.45 (0.17) 8.29 (0.13)
TS 1 perceived meditative effectiveness 5.16 (0.36) 4.43 (0.32) 4.80 (0.24)
TS 2 perceived meditative effectiveness 5.47 (0.34) 4.87 (0.36) 5.17 (0.25)
TS 3 perceived meditative effectiveness 5.81 (0.44) 4.78 (0.41) 5.30 (0.30)
TS 4 perceived meditative effectiveness 6.23 (0.46) 6.07 (0.33) 6.15 (0.28)
*

p < 0.05.

During session 6, both groups significantly (p <.05) reduced pain intensity (−22%) and pain unpleasantness ratings (−36%) when compared to rest when controlling for pain ratings at session 1. There were no between group differences on pain intensity or unpleasantness ratings (ps > .05). At session 1, HF HRV during heat was higher for both groups when compared to neutral stimulation (p < .05).

Primary Analysis

Mindfulness-induced pain unpleasantness reductions were associated with higher HF HRV when compared to sham-mindfulness meditation

The significant group × HF HRV interaction, B = −0.82, SE = 0.39, t(57) = −2.07, p = 0.04; Table 3] demonstrated that mindfulness-based pain relief was associated with higher HF HRV when compared to the relationship between sham-mindfulness meditation-induced pain relief and lower HF HRV (Figure 3). Follow-up within group analyses revealed a trending to significance association (β = −0.46, p = 0.07; Figure 3a; Table 4) between mindfulness-induced pain relief and higher HF HRV. In contrast, there was not a significant relationship between sham-mindfulness-induced pain relief and lower HF HRV (β = 0.42, p = 0.11; Figure 3b; Table 5). There was no significant group × HF HRV interaction on pain intensity ratings during meditation, t(57) = −1.45, p = 0.15 (Table 2).

TABLE 3.

Moderated regression analysis on HRV and pain unpleasantness ratings during the post-intervention session.

Variable B SE B β sr2 Model R2 F
0.51 6.83**
Age 0.03 0.02 0.15 0.02
Rest pain unpleasantness 0.57 0.09 0.61 0.35**
Rest RR 0.01 0.07 0.02 0.00
Rest HF HRV −0.04 0.36 −0.02 0.00
Meditation RR 0.07 0.05 0.16 0.02
Meditation HF HRV 1.32 0.72 0.70 0.03
Group 6.60 3.29 1.79 0.04
Group × Meditation HF HRV −0.82 0.39 −1.85 0.04*

B, unstandardized beta coefficient; SE B, standard error of unstandardized beta coefficient; β, standardized beta coefficient; sr2, semipartial coefficient squared; Rest pain unpleasantness, averages of pain unpleasantness ratings during the Rest + Stimulation condition; Rest RR, averages of heat and neutral respiration rate during the Rest + Stimulation condition; Rest HF HRV, averages of heat and neutral HF HRV during the Rest + Stimulation condition; Meditation RR, averages of heat and neutral respiration rate during the Meditation + Stimulation condition; Meditation HF HRV, average of heat and neutral HF HRV during the Meditation + Stimulation condition; Group, value depicting assignment to the sham-mindfulness or mindfulness meditation group; Group × HF HRV, interaction between Group values and Meditation HF HRV values.

**

p < 0.001

*

p = 0.04

FIGURE 3. The relationship between HF HRV and pain unpleasantness ratings.

FIGURE 3.

There was a significant (p = 0.04) group difference on the relationship between HF HRV and pain unpleasantness. A) Post-hoc analyses revealed that there was a marginally significant relationship between increased HF HRV and decreased pain unpleasantness ratings (r = −0.46; p = 0.07) for the mindfulness meditation group after controlling for age, pain ratings during rest, respiration rate, and HF HRV during rest. B) HF HRV was not significantly (r = 0.42; p = 0.11) associated with pain unpleasantness after accounting for age, pain ratings during rest, respiration rate, and HF HRV during rest in the sham-mindfulness meditation group.

TABLE 4.

Regression analysis on HRV and pain unpleasantness ratings for the mindfulness meditation group.

Variable B SE B β sr2 Model R2 F
0.70 9.53**
Age 0.08 0.02 0.45 0.13*
Rest pain unpleasantness 0.34 0.10 0.45 0.16*
Rest RR −0.01 0.06 −0.02 0.00
Rest HF HRV 0.56 0.39 0.34 0.03
Meditation RR 0.09 0.05 0.22 0.04
Meditation HF HRV −0.81 0.43 −0.46 0.04

B, unstandardized beta coefficient; SE B, standard error of unstandardized beta coefficient; β, standardized beta coefficient; sr2, semipartial coefficient squared; Rest pain unpleasantness, averages of pain unpleasantness ratings during the Rest + Stimulation condition; Rest RR, averages of heat and neutral respiration rate during the Rest + Stimulation condition; Rest HF HRV, averages of heat and neutral HF HRV during the Rest + Stimulation condition; Meditation RR, averages of heat and neutral respiration rate during the Meditation + Stimulation condition; Meditation HF HRV, average of heat and neutral HF HRV during the Meditation + Stimulation condition.

**

p < 0.001

*

p < 0.01

p = 0.07

TABLE 5.

Regression analysis on HRV and pain unpleasantness ratings for the sham-mindfulness meditation group.

Variable B SE B β sr2 Model R2 F
0.62 6.49**
Age −0.02 0.03 −0.10 0.01
Rest pain unpleasantness 0.89 0.17 0.72 0.44**
Rest RR −0.02 0.12 −0.03 0.00
Rest HF HRV −0.94 0.53 −0.47 0.05
Meditation RR −0.03 0.09 −0.06 0.00
Meditation HF HRV 0.90 0.54 0.42 0.04

B, unstandardized beta coefficient; SE B, standard error of unstandardized beta coefficient; β, standardized beta coefficient; sr2, semipartial coefficient squared; Rest pain unpleasantness, averages of pain unpleasantness ratings during the Rest + Stimulation condition; Rest RR, averages of heat and neutral respiration rate during the Rest + Stimulation condition; Rest HF HRV, averages of heat and neutral HF HRV during the Rest + Stimulation condition; Meditation RR, averages of heat and neutral respiration rate during the Meditation + Stimulation condition; Meditation HF HRV, average of heat and neutral HF HRV during the Meditation + Stimulation condition.

**

p < 0.001

TABLE 2.

Moderated regression analysis on HF HRV and pain intensity ratings in the post-intervention session.

Variable B SE B β sr2 Model R2 F
0.66 13.11**
Age 0.01 0.02 0.06 0.00
Rest pain intensity 0.70 0.08 0.78 0.52**
Rest RR −0.03 0.05 −0.07 0.00
Rest HF HRV −0.07 0.26 −0.04 0.00
Meditation RR 0.04 0.04 0.09 0.01
Meditation HF HRV 0.80 0.51 0.49 0.02
Group 3.35 2.35 1.05 0.01
Group × Meditation HF HRV −0.41 0.28 −1.07 0.01

B, unstandardized beta coefficient; SE B, standard error of unstandardized beta coefficient; β, standardized beta coefficient; sr2, semipartial coefficient squared; Rest pain intensity, averages of pain intensity ratings during the Rest + Stimulation condition; Rest RR, averages of heat and neutral respiration rate during the Rest + Stimulation condition; Rest HF HRV, averages of heat and neutral HF HRV during the Rest + Stimulation condition; Meditation RR, averages of heat and neutral respiration rate during the Meditation + Stimulation condition; Meditation HF HRV, average of heat and neutral HF HRV during the Meditation + Stimulation condition; Group, value depicting assignment to the sham-mindfulness or mindfulness meditation group; Group × HF HRV, interaction between Group values and Meditation HF HRV values.

**

p < 0.001

Secondary Analyses

Pre-Intervention Session HF HRV

There was a significant increase in HF HRV during noxious heat when compared to neutral series (F(1, 59) = 9.53, p = 0.003, η2p = 0.14) (Table 1), and there were no significant between group differences (F(1, 59) = 1.01, p = 0.32, η2p = 0.02) or a group × stimulation type interaction (F(1, 59) = 0.02, p = 0.88, η2p = 0.00).

Pre-Intervention Session Respiration Rate

Respiration rate did not significantly vary by stimulation type (heat; neutral) (F(1, 59) = 3.34, p = 0.07, η2p = 0.05) or by group (F(1, 59) = 0.73, p = 0.40, η2p = 0.01) and there was no significant group × stimulation interaction (F(1, 59) = 0.45, p = 0.51, η2p = 0.01; Table 1).

Post-Intervention Session HF HRV

There was a significant increase in HF HRV from rest to meditation across both groups (F(1, 60) = 27.96, p < 0.001, η2p = 0.32; Table 1). The significant manipulation × stimulation interaction (F(1, 60) = 7.64, p = 0.008, η2p = 0.11) revealed higher HF HRV values during heat and rest (F(1, 60) = 7.88; p = 0.007, η2p = 0.12) compared to neutral and rest (F(1, 58) = 0.35; p = 0.56, η2p = 0.01). There was no significant main effect of stimulation (F(1, 60) = 1.46, p = 0.23, η2p = 0.02) and no between group differences on HF HRV (F(1, 60) = 2.93, p = 0.09, η2p = 0.05).

Post-Intervention Session Respiration Rate

There was a significant reduction in respiration rate from rest to meditation across both groups (−29.5%, 95% CI [−26.7%, −32.1%]; F(1, 60) = 90.82, p < 0.001, η2p = 0.60; Table 1) and there was a significant manipulation × stimulation interaction (F(1, 60) = 22.09, p < 0.001, η2p = 0.27). Post-hoc analyses revealed that these respiration rate decreases were significantly greater during heat (−36.7%, 95% CI [−33.5%, −40.4%]; F(1, 60) = 106.69; p < 0.001, η2p = 0.64) when compared to neutral series (−22.3%, 95% CI [−20.3%, 24.5%]; F(1, 60) = 48.80; p < 0.001, η2p = 0.45). Respiration rate was significantly higher during neutral when compared to heat series (F(1, 60) = 68.40, p < 0.001, η2p = 0.53) and there was no significant between group differences (F(1, 60) = 1.38, p = 0.25, η2p = 0.02).

Pre/Post-Intervention Session: Pain intensity

Across both groups, pain intensity ratings significantly decreased (−21.9%), F(1, 59) = 5.92, p = 0.02, η2p = 0.09, 95% CI [−21.1%, −23.1%] (Figure 4a; Table 1) from rest to meditation. Pain intensity ratings were significantly higher during the pre-intervention session when compared to the post-intervention session (F(1, 59) = 89.24, p < 0.001, η2p = 0.60). There was no significant main effect of group (F(1, 59) = 0.03, p = 0.86, η2p = 0.00), group × manipulation interaction (F(1, 59) = 0.44, p = 0.51, η2p = 0.01), or between group differences in pre-intervention pain intensity ratings (F(1, 60) = 1.82, p = 0.18, η2p = 0.03).

FIGURE 4. Post-intervention session psychophysical pain intensity (A) and pain unpleasantness (B) ratings (mean ± SEM).

FIGURE 4.

Both groups significantly reduced pain intensity (p = 0.02; left) and unpleasantness (p = 0.002; right) ratings when compared to rest and when controlling for pre-intervention pain ratings. There was no significant group × manipulation interaction on pain intensity (p = 0.51) or unpleasantness (p = 0.64) ratings.

Pre/Post-Intervention Session: Pain unpleasantness

Pain unpleasantness ratings significantly decreased by 35.6%, (95% CI [−33.2%, −38.7%]) across both groups during meditation when compared to rest (F(1, 59) = 10.88, p = 0.002, η2p = 0.16; Figure 4b; Table 1). Pre-intervention pain unpleasantness ratings were significantly higher than post-intervention pain ratings (F(1, 59) = 51.32, p < 0.001, η2p = 0.47). There were no significant group differences (F(1, 59) = 0.77, p = 0.39, η2p = 0.01), group × manipulation interaction (F(1, 59) = 0.30, p = 0.64, η2p = 0.00), or between group differences in pre-intervention pain unpleasantness ratings (F(1, 60) = 2.63, p = 0.11, η2p = 0.04).

Nine participants reported nonzero pain intensity and unpleasantness rating in response to neutral stimulation series (mean = 0.7 and 0.4, respectively). There were no group differences in pain intensity (F(1, 60) = 0.13; p = 0.72, η2p = 0.00) or pain unpleasantness (F(1, 60) = 0.03; p = 0.87, η2p = 0.00) in response to neutral series.

Perceived Intervention Effectiveness

Both groups reported significant increases in “perceived meditative effectiveness” across the four intervention sessions (F(3, 58) = 13.39, p < 0.001 η2p = 0.19, BF10 = 2.4 × 105; Table 1). There were no significant differences in perceived meditation effectiveness between groups (F(1, 58) = 1.46, p = 0.23, η2p = 0.03, BF10 = 0.61) or a significant group × session interaction (F(3, 58) = 1.08, p = 0.36, η2p = 0.02, BFF:R = 0.15), demonstrating that the sham-mindfulness meditation regimen effectively led participants to believe they were practicing mindfulness meditation.

DISCUSSION

Primary Analysis

Mindfulness-induced pain unpleasantness reductions were associated with higher HF HRV when compared to sham-mindfulness meditation

The present study demonstrated that mindfulness-based pain unpleasantness relief was associated with a different parasympathetic pattern when compared to a robust, sham-mindfulness meditation condition. However, this relationship was not borne out with pain intensity ratings. Although, this difference was only shown when pain relief was measured by pain unpleasantness, and not when measured by pain intensity, visual inspection of the data reveals that in the case of pain unpleasantness, pain relief in the sham-mindfulness group was associated with lower, not higher HF HRV when compared to mindfulness meditation (Figure 3). This finding is consistent with converging lines of evidence demonstrating that placebo-based pain relief does not increase (and may reduce) parasympathetic nervous system activity 62, 92, 120. Although mindfulness and sham-mindfulness meditation were designed to have procedural similarities, these mind-body techniques differed by a number of cognitive features that may explicate the observed (Figure 3) differential relationship between HF HRV and pain unpleasantness. Unlike sham-mindfulness meditation, mindfulness practitioners were trained to pay direct attention to the sensations of the breath and to reduce cognitive and affective evaluations of distracting thoughts and feelings. Mindfulness-based pain relief is associated with behavioral and neural correlates of interoception30, 49, 68, 104 and when compared to sham-mindfulness meditation, mindfulness produced greater activation (right anterior insula; subgenual ACC)130 in brain regions implicated in the so-called interoception network 15, 22, 24, 51, 60, 127,69. Mindfulness meditation reliably increases cognitive flexibility 1, 30, 74, 75, 108, 134 and affective resilience 49, 63, 88, factors that are also directly associated with higher heart rate variability 59, 109. It is then fitting that mindfulness-based HF HRV increases were more aligned with modulating the affective (and not sensory) dimension of pain. Taken together, we stipulate that mindfulness-based cognitive reappraisal processes may uniquely regulate affective pain responses through executive level modulation and PNS processes, an integrative, multimodal process that may lead to improvements in pain and health outcomes. In that regard, affective regulation via cognitive reappraisal is associated with increases in HF HRV. Mindfulness-based relief of acute experimentally-induced pain is a non-opioidergic process associated with effortful, corticothalamocortical mediated regulation of ascending nociceptive information, a known neurophysiological correlate of higher HRV 32, 93, 118. This reappraisal-based process engages supraspinal mechanisms presumably through the recruitment of GABA-ergically mediated corticothalamocortical interactions48, 129, 130, 136, 138.

In the present study, we showed that mindfulness and sham-mindfulness lowered pain and increased HF HRV. However, there was a significant difference between the sham-mindfulness meditation group and the mindfulness meditation group in how HF HRV was associated with pain relief. Although, this difference was only shown when pain relief was measured by pain unpleasantness, and not by pain intensity. Visual inspection of the data reveals that in the case of pain unpleasantness, pain relief in the sham-mindfulness group was associated with lower, not higher HF HRV when compared to mindfulness meditation (Figure 3), a finding consistent with converging lines of evidence demonstrating that placebo-based pain relief does not increase (and may reduce) parasympathetic nervous system activity (i.e. HF HRV).

Secondary Analyses

Pain Ratings

The sham-mindfulness meditation condition was employed to better characterize and disentangle the specific mechanisms supporting pain relief during mindfulness meditation. It is not particularly surprising that mindfulness and sham-mindfulness meditation produced pain intensity (η2p = 0.09) unpleasantness reductions (η2p = 0.16). However, there were no reliable between group differences on pain intensity (η2p = 0.03) or unpleasantness (η2p = 0.01) ratings.

Heart Rate Variability and Respiration Rate

We were not explicitly powered to test the secondary hypotheses relating to respiration rate and HF HRV. However, our results signified large effect sizes relating to HF HRV and respiration rate and revealed both meditative techniques increased HF HRV (η2p = 0.32) and decreased respiration rate (η2p = 0.60) and there were no between group differences on these outcomes (η2p < 0.06). Thus, if replicated, mindfulness and sham-mindfulness meditation may lower respiration rate and increase HF HRV.

Considerations for mindfulness-based pain relief

There are significant operational parallels between the two, slow-breathing practices. Recent work from our laboratory revealed that the cognitive state of mindfulness meditation and sham-mindfulness meditation exhibited significant overlapping activation in brain mechanisms supporting greater sensory evaluation (bilateral anterior insula) 110, 125, reward processing (putamen) 31, 85, 102, 128, attention to the breath (SI representation of the nose) 42, 89, and lower self-referential processing (deactivation of the default mode network) 26, 76, 106. Yet, the mechanistic differences between these two conditions were borne out when the relationship between pain ratings and neural activation was disentangled. In contrast to the more active mindfulness meditation technique, sham-mindfulness meditation was associated with significant deactivation of the rostral ACC and the prefrontal cortex and significant thalamic activation, indicating a more-passive, perceived controllability of pain, a common mechanistic description supporting placebo-based pain relief 27, 28. Similarly, this shows that mindfulness and sham-mindfulness produced comparable enhancements in pain relief, heart rate variability and respiration rate. Yet, here we demonstrate a preliminary step in elucidating the analgesic effects of mindfulness meditation by demonstrating that increased parasympathetic tone (i.e., HF HRV) is associated with mindfulness-based reductions in affective pain.

The emotional augmentation of pain is a critical component supporting the cognitive modulation of pain 14, 105. Pain accompanied by emotional distress (i.e. cancer pain) is rated as significantly more unpleasant than intense, whereas pain associated with positive experiences (i.e. childbirth) is characterized as more intense than unpleasant 96. Thus, treatment approaches that “uncouple” noxious sensations from the cognitive evaluation of pain may enhance quality of life and well-being 64. To this extent, mindfulness meditation lowers the affective dimension of pain (Figure 4) more than pain intensity 10, 33, 35, 46, 47, 73, 129, 131, 136. Mindfulness alters one’s relationship to a nociceptive stimulus in a way that lowers pain catastrophizing 38 and enhances pain-related coping 82 by increasing the capacity for non-reactive, acceptance-based appraisals of sensory events 39, 40. We propose that mindfulness meditation may distinctively improve pain conditions that are associated with maladaptive coping strategies 19, 38, 45, 52, 101, 123. Brief mindfulness-based training regimens, like the one employed in the current study, may be more clinically pragmatic since significant time commitments have been cited as barriers to the clinical utilization of mindfulness meditation 13. Mindfulness is a nebulous construct that requires appropriate operational characterizations. Thus, the sham-mindfulness meditation condition in this experiment might be better described as a comparison mental training condition, especially in light of its similar analgesic effects to genuine mindfulness practice. Yet, sham-mindfulness meditation is an effective pain relieving technique and resembles other meditative techniques 58, 107. Sham-mindfulness meditation is associated with significant deactivation of the rostral ACC and ventromedial PFC, suggesting34, 46, 113 that non-reactivity is also a mechanism engaged by sham-mindfulness meditation. However, it is likely that sham-mindfulness based non-reactivity does not engage metacognitive states of awareness associated with mindfulness practices 1, 50, 67, 124, 129.

Consequently, it may not be appropriate to characterize this technique as a placebo manipulation, but rather an active, non-inert practice. Sham-mindfulness meditation has been reported to be easier to exercise than mindfulness meditation 131, 135 suggesting that this technique is clinically viable and pragmatic to treat pain 133. Although we did not explicitly test this, pain conditions that exhibit comorbidities related to higher fatigue and cognitive deficits might then benefit from a less cognitively demanding practice (sham-mindfulness meditation).

The present findings are particularly generalizable to healthy, pain-free individuals and are not directly applicable to chronic pain patients. Chronic pain patients exhibit an array of comorbidities that can confound specific mechanisms of action supporting mindfulness. We employed healthy subjects, experimentally induced pain, and an event-related design to better identify the specific physiological processes supporting mindfulness-based pain attenuation. It is also difficult to explicitly ascertain that changes in heart rate variability were directly associated with noxious heat, due to the limitation that HRV measurements cannot be disentangled in an “on-off” block design56, 72. A third-arm, non-manipulation regimen may have provided a more suitable control for potential habituation/sensitization effects, although our previous studies employing identical experimental paradigms 129, 131 show that non-manipulation controls exhibit significant pain increases (+16%) in response to noxious heat. We were only statistically powered to test the primary aim of the study (i.e., Hypothesis 1). Thus, we were not justified to determine if mindfulness-based analgesia is mediated by HRV. This analysis would also inform potential mechanistic differences between mindfulness and sham-mindfulness practices. We find that mindfulness, in this study, was not more effective than sham-mindfulness meditation in reducing pain. This suggests that mindfulness may not be more effective at reducing pain when compared to a robust and active sham-mindfulness meditative technique. It is also important to state that a technique labeled “mindfulness meditation” that is premised on lowering breathing rate could be an effective pain reliever. It would also be important to compare the mechanisms supporting mindfulness to other effective pain therapies, such as cognitive behavioral therapy (CBT). Mindfulness and CBT produce similar pain relieving effects and both techniques likely employ executive control processes to reduce pain, although CBT is premised on changing thoughts about pain whereas mindfulness is based on accepting thoughts about pain19, 43, 53, 57.

Importantly, there were no significant differences in pain responses between the mindfulness and sham-mindfulness techniques. This could be due to the possibility that some participants had prior experience with mindfulness. That is, participants were not asked prior to participation in the study if they had any knowledge regarding the exact practices of mindfulness meditation based on their experiences or media exposure. As such, some participants may have recognized that sham-mindfulness meditation was not true mindfulness meditation. Nevertheless, we have solid evidence that the two interventions have the same effect on pain intensity and unpleasantness, and the present study provides some indication that there might be a difference in how parasympathetic responses relate to this analgesic effect. Yet, we were not statistically powered to state that both of these techniques are mediated by different mechanisms. More mechanistic work is needed to reliably determine the role of parasympathetic activation in mindfulness-based pain relief as compared to other meditative techniques.

It is also possible that the facilitators were more motivated to promote relief for the mindfulness training as compared to the sham-mindfulness technique. Further, while participants were not asked to meditate between intervention sessions, we did not explicitly ask if they had done so. It should also be noted that the experimenter was not blinded to participants’ group assignments (i.e. sham-mindfulness vs. mindfulness) during the post-intervention session, a factor that may have confounded our results. Of note, HF HRV was higher during heat when compared to neutral stimulation during the pre-intervention session and the “rest” condition of the postintervention session. HF HRV is a potential marker of the body’s ability to reestablish a homeostatic state 116, 117, 119 and may reflect a self-regulatory response during the experience of a painful stimulus. It should also be considered that we were primarily powered to test Hypothesis 1, the regression analysis examining the between groups difference in the relationship between HF HRV and pain ratings. Consequently, our secondary analyses should be interpreted with caution and primarily utilized as a tool to guide future studies. We have restricted our interpretation of analyses to the manipulation checks and primary analysis. The process of age matching may have introduced bias into the study procedures and should be considered when interpreting the results. Specifically, if groups were unbalanced, it would be dictated that an individual of a certain age would be assigned to whichever group required matching. It is important to note that several fundamental principles are embedded in the treatment modality supporting mindfulness-based practices such as non-reactivity, attention regulation, meta-cognition, distraction, beliefs, conditioning, and other factors. Investment in demonstrating the clinical efficacy of a suite of these processes under the construct of mindfulness may hamper the comprehension and operationalization of mindfulness-based practices and the potential for therapeutic progress. Thus, future studies should be conducted to explicitly test the purported mechanisms and clinical efficacy supporting each of these factors across different patient populations to better tailor and target the use of these potential pain therapies. We also urge caution in using the term “sham-mindfulness meditation” in the clinical treatment of pain because there are likely active mechanisms that are shared by genuine and sham-mindfulness meditation that are therapeutic. Mindfulness-based regimens are premised on increasing one’s ability to self-regulate and accept maladaptive experiences. Growing evidence demonstrates that one’s ability to sustain non-reactive attention in the present moment (i.e., mindfulness) uniquely modulates the elaboration of maladaptive pain-related appraisals and improves parasympathetic processes, factors that may serve as a buffer for the exacerbation of clinical pain.

Supplementary Material

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HIGHLIGHTS.

  • Mindfulness and sham mindfulness meditation reduced pain during noxious heat

  • Mindfulness and sham mindfulness meditation increased heart rate variability (HRV)

  • Mindfulness-based pain relief was associated with higher HRV

  • Higher HRV during sham mindfulness meditation was associated with higher pain

PERSPECTIVE.

Mindfulness has been shown to engage multiple mechanisms to reduce pain. The present study extends on this work to show that higher heart rate variability is associated with mindfulness-induced reductions in pain unpleasantness, but not pain intensity ratings, when compared to sham-mindfulness meditation. These findings warrant further investigation into the mechanisms engaged by mindfulness as compared to placebo.

Acknowledgments

DISCLOSURES

This work was supported by the National Center for Complementary and Integrative Health (F30-AT009165; K99/R00-AT008238; R21-AT007247; F32-AT006949; R01-AT009693), a Mind and Life Institute Francisco J. Varela Award, the Wake Forest Center for Integrative Medicine, and the Wake Forest School of Medicine Hypertension & Vascular Research Center. The authors declare no competing financial interests.

Footnotes

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REFERENCES

  • 1.Allen M, Dietz M, Blair KS, van Beek M, Rees G, Vestergaard-Poulsen P, Lutz A, Roepstorff A. Cognitive-affective neural plasticity following active-controlled mindfulness intervention. The Journal of neuroscience : the official journal of the Society for Neuroscience. 32:15601–15610, 2012 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Azam MA, Katz J, Mohabir V, Ritvo P. Individuals with tension and migraine headaches exhibit increased heart rate variability during post-stress mindfulness meditation practice but a decrease during a post-stress control condition - A randomized, controlled experiment. International journal of psychophysiology : official journal of the International Organization of Psychophysiology. 110:66–74, 2016 [DOI] [PubMed] [Google Scholar]
  • 3.Barbas H, Saha S, Rempel-Clower N, Ghashghaei T. Serial pathways from primate prefrontal cortex to autonomic areas may influence emotional expression. BMC neuroscience. 4:25, 2003 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Barbas H, Zikopoulos B. The prefrontal cortex and flexible behavior. The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry. 13:532–545, 2007 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Beary JF, Benson H. A simple psychophysiologic technique which elicits the hypometabolic changes of the relaxation response. Psychosomatic medicine. 36:115–120, 1974 [DOI] [PubMed] [Google Scholar]
  • 6.Benarroch EE. The central autonomic network: functional organization, dysfunction, and perspective. Mayo Clinic proceedings. 68:988–1001, 1993 [DOI] [PubMed] [Google Scholar]
  • 7.Bendixen KH, Terkelsen AJ, Baad-Hansen L, Cairns BE, Svensson P. Experimental stressors alter hypertonic saline-evoked masseter muscle pain and autonomic response. Journal of orofacial pain. 26:191–205, 2012 [PubMed] [Google Scholar]
  • 8.Benson H, Kotch JB, Crassweller KD, Greenwood MM. Historical and clinical considerations of the relaxation response. Am Sci. 65:441–445, 1977 [PubMed] [Google Scholar]
  • 9.Berntson GG, Bigger JT Jr., Eckberg DL, Grossman P, Kaufmann PG, Malik M, Nagaraja HN, Porges SW, Saul JP, Stone PH, van der Molen MW. Heart rate variability: origins, methods, and interpretive caveats. Psychophysiology. 34:623–648, 1997 [DOI] [PubMed] [Google Scholar]
  • 10.Brown CA, Jones AK. Meditation experience predicts less negative appraisal of pain: Electrophysiological evidence for the involvement of anticipatory neural responses. Pain. 150:428–438, 2010 [DOI] [PubMed] [Google Scholar]
  • 11.Brown TE, Beightol LA, Koh J, Eckberg DL. Important Influence of Respiration on Human R-R Interval Power Spectra Is Largely Ignored. J Appl Physiol. 75:2310–2317, 1993 [DOI] [PubMed] [Google Scholar]
  • 12.Camm AJ, Malik M, Bigger JT, Breithardt G, Cerutti S, Cohen RJ, Coumel P, Fallen EL, Kennedy HL, Kleiger RE, Lombardi F, Malliani A, Moss AJ, Rottman JN, Schmidt G, Schwartz PJ, Singer DH. Heart rate variability. Standards of measurement, physiological interpretation, and clinical use. European heart journal. 17:354–381, 1996 [PubMed] [Google Scholar]
  • 13.Carmody J, Baer RA. How long does a mindfulness-based stress reduction program need to be? A review of class contact hours and effect sizes for psychological distress. Journal of clinical psychology. 65:627–638, 2009 [DOI] [PubMed] [Google Scholar]
  • 14.Carson JW, Keefe FJ, Lowry KP, Porter LS, Goli V, Fras AM. Conflict about expressing emotions and chronic low back pain: associations with pain and anger. The journal of pain : official journal of the American Pain Society. 8:405–411, 2007 [DOI] [PubMed] [Google Scholar]
  • 15.Caseras X, Murphy K, Mataix-Cols D, Lopez-Sola M, Soriano-Mas C, Ortriz H, Pujol J, Torrubia R. Anatomical and functional overlap within the insula and anterior cingulate cortex during interoception and phobic symptom provocation. Human brain mapping. 34:1220–1229, 2013 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Cash E, Salmon P, Weissbecker I, Rebholz WN, Bayley-Veloso R, Zimmaro LA, Floyd A, Dedert E, Sephton SE. Mindfulness meditation alleviates fibromyalgia symptoms in women: results of a randomized clinical trial. Annals of behavioral medicine : a publication of the Society of Behavioral Medicine. 49:319–330, 2015 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Chalaye P, Goffaux P, Lafrenaye S, Marchand S. Respiratory effects on experimental heat pain and cardiac activity. Pain medicine. 10:1334–1340, 2009 [DOI] [PubMed] [Google Scholar]
  • 18.Chang C, Metzger CD, Glover GH, Duyn JH, Heinze HJ, Walter M. Association between heart rate variability and fluctuations in resting-state functional connectivity. NeuroImage. 68:93–104, 2013 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Cherkin DC, Sherman KJ, Balderson BH, Cook AJ, Anderson ML, Hawkes RJ, Hansen KE, Turner JA. Effect of Mindfulness-Based Stress Reduction vs Cognitive Behavioral Therapy or Usual Care on Back Pain and Functional Limitations in Adults With Chronic Low Back Pain: A Randomized Clinical Trial. Jama. 315:1240–1249, 2016 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Cohen H, Neumann L, Shore M, Amir M, Cassuto Y, Buskila D. Autonomic dysfunction in patients with fibromyalgia: application of power spectral analysis of heart rate variability. Seminars in arthritis and rheumatism. 29:217–227, 2000 [DOI] [PubMed] [Google Scholar]
  • 21.Cohen JC P.: Applied multiple regression/correlation analysis for the behavioral sciences. 2nd edition, Erlbaum, Hillsdale, NJ, 1983. [Google Scholar]
  • 22.Critchley HD. The human cortex responds to an interoceptive challenge. Proceedings of the National Academy of Sciences of the United States of America. 101:6333–6334, 2004 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Critchley HD, Mathias CJ, Josephs O, O’Doherty J, Zanini S, Dewar BK, Cipolotti L, Shallice T, Dolan RJ. Human cingulate cortex and autonomic control: converging neuroimaging and clinical evidence. Brain : a journal of neurology. 126:2139–2152, 2003 [DOI] [PubMed] [Google Scholar]
  • 24.Critchley HD, Wiens S, Rotshtein P, Ohman A, Dolan RJ. Neural systems supporting interoceptive awareness. Nature neuroscience. 7:189–195, 2004 [DOI] [PubMed] [Google Scholar]
  • 25.Cushing H VI. Concerning a Possible “Parasympathetic Center” in the Diencephalon. Proceedings of the National Academy of Sciences of the United States of America. 17:253–264, 1931 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Davey CG, Pujol J, Harrison BJ. Mapping the self in the brain’s default mode network. NeuroImage. 132:390–397, 2016 [DOI] [PubMed] [Google Scholar]
  • 27.De Pascalis V, Chiaradia C, Carotenuto E. The contribution of suggestibility and expectation to placebo analgesia phenomenon in an experimental setting. Pain. 96:393–402, 2002 [DOI] [PubMed] [Google Scholar]
  • 28.Deltito JA. Suggestibility and placebo effect. Clinical and experimental rheumatology. 3:97–98, 1985 [PubMed] [Google Scholar]
  • 29.Eckberg DL, Kifle YT, Roberts VL. Phase relationship between normal human respiration and baroreflex responsiveness. The Journal of physiology. 304:489–502, 1980 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Farb NA, Segal ZV, Anderson AK. Mindfulness meditation training alters cortical representations of interoceptive attention. Social cognitive and affective neuroscience. 8:15–26, 2013 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.FitzGerald TH, Friston KJ, Dolan RJ. Action-specific value signals in reward-related regions of the human brain. The Journal of neuroscience : the official journal of the Society for Neuroscience. 32:16417–16423a, 2012 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Friedman BH. An autonomic flexibility-neurovisceral integration model of anxiety and cardiac vagal tone. Biological psychology. 74:185–199, 2007 [DOI] [PubMed] [Google Scholar]
  • 33.Gard T, Holzel BK, Sack AT, Hempel H, Lazar SW, Vaitl D, Ott U. Pain attenuation through mindfulness is associated with decreased cognitive control and increased sensory processing in the brain. Cerebral cortex. 22:2692–2702, 2012 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Gard T, Holzel BK, Sack AT, Hempel H, Vaitl D, & Ott U Pain attenuation through mindfulness is associated with decreased cognitive control and increased sensory processing in the brain. Cerebral cortex. 191:36–43, 2011 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Garland EL, Baker AK, Larsen P, Riquino MR, Priddy SE, Thomas E, Hanley AW, Galbraith P, Wanner N, Nakamura Y. Randomized Controlled Trial of Brief Mindfulness Training and Hypnotic Suggestion for Acute Pain Relief in the Hospital Setting. Journal of general internal medicine. 32:1106–1113, 2017 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Garland EL, Froeliger B, Howard MO. Effects of Mindfulness-Oriented Recovery Enhancement on reward responsiveness and opioid cue-reactivity. Psychopharmacology. 231:3229–3238, 2014 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Garland EL, Gaylord SA, Boettiger CA, Howard MO. Mindfulness training modifies cognitive, affective, and physiological mechanisms implicated in alcohol dependence: results of a randomized controlled pilot trial. Journal of psychoactive drugs. 42:177–192, 2010 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Garland EL, Gaylord SA, Palsson O, Faurot K, Douglas Mann J, Whitehead WE. Therapeutic mechanisms of a mindfulness-based treatment for IBS: effects on visceral sensitivity, catastrophizing, and affective processing of pain sensations. Journal of behavioral medicine. 35:591–602, 2012 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Garland EL, Hanley A, Farb NA, Froeliger BE. State Mindfulness During Meditation Predicts Enhanced Cognitive Reappraisal. Mindfulness. 6:234–242, 2015 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Garland EL, Hanley AW, Goldin PR, Gross JJ. Testing the mindfulness-to-meaning theory: Evidence for mindful positive emotion regulation from a reanalysis of longitudinal data. PloS one. 12:e0187727, 2017 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Garland EL, Manusov EG, Froeliger B, Kelly A, Williams JM, Howard MO. Mindfulness-oriented recovery enhancement for chronic pain and prescription opioid misuse: results from an early-stage randomized controlled trial. Journal of consulting and clinical psychology. 82:448–459, 2014 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Gastl M, Brunner YF, Wiesmann M, Freiherr J. Depicting the inner and outer nose: The representation of the nose and the nasal mucosa on the human primary somatosensory cortex (SI). Human brain mapping. 35:4751–4766, 2014 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Gatchel RJ, Licciardone JC. Mindfulness-Based Stress Reduction vs Cognitive Behavioral Therapy for Chronic Low Back Pain. Jama. 316:663, 2016 [DOI] [PubMed] [Google Scholar]
  • 44.Gockel M, Lindholm H, Niemisto L, Hurri H. Perceived disability but not pain is connected with autonomic nervous function among patients with chronic low back pain. Journal of rehabilitation medicine. 40:355–358, 2008 [DOI] [PubMed] [Google Scholar]
  • 45.Gracely RH, Geisser ME, Giesecke T, Grant MA, Petzke F, Williams DA, Clauw DJ. Pain catastrophizing and neural responses to pain among persons with fibromyalgia. Brain : a journal of neurology. 127:835–843, 2004 [DOI] [PubMed] [Google Scholar]
  • 46.Grant JA, Courtemanche J, Rainville P. A non-elaborative mental stance and decoupling of executive and pain-related cortices predicts low pain sensitivity in Zen meditators. Pain. 152:150–156, 2011 [DOI] [PubMed] [Google Scholar]
  • 47.Grant JA, Rainville P. Pain sensitivity and analgesic effects of mindful states in Zen meditators: a cross-sectional study. Psychosomatic medicine. 71:106–114, 2009 [DOI] [PubMed] [Google Scholar]
  • 48.Grant JA, Zeidan F. Employing pain and mindfulness to understand consciousness: a symbiotic relationship. Current opinion in psychology. 28:192–197, 2019 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Haase L, Thom NJ, Shukla A, Davenport PW, Simmons AN, Stanley EA, Paulus MP, Johnson DC. Mindfulness-based training attenuates insula response to an aversive interoceptive challenge. Social cognitive and affective neuroscience. 11:182–190, 2016 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Hanley AW, Nakamura Y, Garland EL. The Nondual Awareness Dimensional Assessment (NADA): New tools to assess nondual traits and states of consciousness occurring within and beyond the context of meditation. Psychological assessment. 2018 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Hassanpour MS, Simmons WK, Feinstein JS, Luo Q, Lapidus RC, Bodurka J, Paulus MP, Khalsa SS. The Insular Cortex Dynamically Maps Changes in Cardiorespiratory Interoception. Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology. 43:426–434, 2018 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Hassett AL, Cone JD, Patella SJ, Sigal LH. The role of catastrophizing in the pain and depression of women with fibromyalgia syndrome. Arthritis and rheumatism. 43:2493–2500, 2000 [DOI] [PubMed] [Google Scholar]
  • 53.Hatchard T, Lepage C, Hutton B, Skidmore B, Poulin PA. Comparative evaluation of group-based mindfulness-based stress reduction and cognitive behavioral therapy for the treatment and management of chronic pain disorders: protocol for a systematic review and meta-analysis with indirect comparisons. Systematic reviews. 3:134, 2014 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Hayano J, Mukai S, Sakakibara M, Okada A, Takata K, Fujinami T. Effects of respiratory interval on vagal modulation of heart rate. The American journal of physiology. 267:H33–40, 1994 [DOI] [PubMed] [Google Scholar]
  • 55.Hayes A: Introduction to meditation, moderation, and conditioned process analysis: a regression-based approach, The Guilford Press, New York, NY, 2013. [Google Scholar]
  • 56.Heart. Heart rate variability. Standards of measurement, physiological interpretation, and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. European heart journal. 17:354–381, 1996 [PubMed] [Google Scholar]
  • 57.Herman PM, Anderson ML, Sherman KJ, Balderson BH, Turner JA, Cherkin DC. Cost-effectiveness of Mindfulness-based Stress Reduction Versus Cognitive Behavioral Therapy or Usual Care Among Adults With Chronic Low Back Pain. Spine. 42:1511–1520, 2017 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Higashi M Pranayama as Psychiatric Regimen. Lancet. 2:1177–&, 1964 [DOI] [PubMed] [Google Scholar]
  • 59.Hildebrandt LK, McCall C, Engen HG, Singer T. Cognitive flexibility, heart rate variability, and resilience predict fine-grained regulation of arousal during prolonged threat. Psychophysiology. 53:880–890, 2016 [DOI] [PubMed] [Google Scholar]
  • 60.Hyett MP, Breakspear MJ, Friston KJ, Guo CC, Parker GB. Disrupted effective connectivity of cortical systems supporting attention and interoception in melancholia. JAMA psychiatry. 72:350–358, 2015 [DOI] [PubMed] [Google Scholar]
  • 61.Jacob JA. As Opioid Prescribing Guidelines Tighten, Mindfulness Meditation Holds Promise for Pain Relief. Jama. 315:2385–2387, 2016 [DOI] [PubMed] [Google Scholar]
  • 62.Jiang W, Ladd S, Martsberger C, Feinglos M, Spratt SE, Kuchibhatla M, Green J, Krishnan R. Effects of Pregabalin on Heart Rate Variability in Patients With Painful Diabetic Neuropathy. Journal of clinical psychopharmacology. 31:207–213, 2011 [DOI] [PubMed] [Google Scholar]
  • 63.Johnson DC, Thom NJ, Stanley EA, Haase L, Simmons AN, Shih PA, Thompson WK, Potterat EG, Minor TR, Paulus MP. Modifying resilience mechanisms in at-risk individuals: a controlled study of mindfulness training in Marines preparing for deployment. The American journal of psychiatry. 171:844–853, 2014 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Kabat-Zinn J An outpatient program in behavioral medicine for chronic pain patients based on the practice of mindfulness meditation: theoretical considerations and preliminary results. General hospital psychiatry. 4:33–47, 1982 [DOI] [PubMed] [Google Scholar]
  • 65.Kabat-Zinn J, Lipworth L, Burney R. The clinical use of mindfulness meditation for the self-regulation of chronic pain. Journal of behavioral medicine. 8:163–190, 1985 [DOI] [PubMed] [Google Scholar]
  • 66.Kass RE, Raftery AE Bayes Factors. Journal of the American Statistical Association. 90:773–795, 1995 [Google Scholar]
  • 67.Kerr CE, Sacchet MD, Lazar SW, Moore CI, Jones SR. Mindfulness starts with the body: somatosensory attention and top-down modulation of cortical alpha rhythms in mindfulness meditation. Frontiers in human neuroscience. 7:12, 2013 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68.Kirk U, Gu X, Harvey AH, Fonagy P, Montague PR. Mindfulness training modulates value signals in ventromedial prefrontal cortex through input from insular cortex. NeuroImage. 100:254–262, 2014 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Kleckner IR, Zhang J, Touroutoglou A, Chanes L, Xia C, Simmons WK, Quigley KS, Dickerson BC, Barrett LF. Evidence for a Large-Scale Brain System Supporting Allostasis and Interoception in Humans. Nature human behaviour. 1, 2017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Kligfield P, Gettes LS, Bailey JJ, Childers R, Deal BJ, Hancock EW, van Herpen G, Kors JA, Macfarlane P, Mirvis DM, Pahlm O, Rautaharju P, Wagner GS, American Heart Association E, Arrhythmias Committee CoCC, American College of Cardiology F, Heart Rhythm S. Recommendations for the standardization and interpretation of the electrocardiogram. Part I: The electrocardiogram and its technology. A scientific statement from the American Heart Association Electrocardiography and Arrhythmias Committee, Council on Clinical Cardiology; the American College of Cardiology Foundation; and the Heart Rhythm Society. Heart rhythm. 4:394–412, 2007 [DOI] [PubMed] [Google Scholar]
  • 71.Krygier JR, Heathers JA, Shahrestani S, Abbott M, Gross JJ, Kemp AH. Mindfulness meditation, well-being, and heart rate variability: a preliminary investigation into the impact of intensive Vipassana meditation. International journal of psychophysiology : official journal of the International Organization of Psychophysiology. 89:305–313, 2013 [DOI] [PubMed] [Google Scholar]
  • 72.Laborde S, Mosley E, Thayer JF. Heart Rate Variability and Cardiac Vagal Tone in Psychophysiological Research - Recommendations for Experiment Planning, Data Analysis, and Data Reporting. Frontiers in psychology. 8:213, 2017 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73.Lutz A, McFarlin DR, Perlman DM, Salomons TV, Davidson RJ. Altered anterior insula activation during anticipation and experience of painful stimuli in expert meditators. NeuroImage. 64:538–546, 2013 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74.Lutz A, Slagter HA, Rawlings NB, Francis AD, Greischar LL, Davidson RJ. Mental training enhances attentional stability: neural and behavioral evidence. The Journal of neuroscience : the official journal of the Society for Neuroscience. 29:13418–13427, 2009 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.MacLean KA, Ferrer E, Aichele SR, Bridwell DA, Zanesco AP, Jacobs TL, King BG, Rosenberg EL, Sahdra BK, Shaver PR, Wallace BA, Mangun GR, Saron CD. Intensive meditation training improves perceptual discrimination and sustained attention. Psychological science. 21:829–839, 2010 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Maki-Marttunen V, Castro M, Olmos L, Leiguarda R, Villarreal M. Modulation of the default-mode network and the attentional network by self-referential processes in patients with disorder of consciousness. Neuropsychologia. 82:149–160, 2016 [DOI] [PubMed] [Google Scholar]
  • 77.Martin SL, Kerr KL, Bartley EJ, Kuhn BL, Palit S, Terry EL, DelVentura JL, Rhudy JL. Respiration-induced hypoalgesia: exploration of potential mechanisms. The journal of pain : official journal of the American Pain Society. 13:755–763, 2012 [DOI] [PubMed] [Google Scholar]
  • 78.May LM, Kosek P, Zeidan F, Berkman ET. Enhancement of Meditation Analgesia by Opioid Antagonist in Experienced Meditators. Psychosomatic medicine. 2018 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79.Montano N, Porta A, Malliani A. Evidence for central organization of cardiovascular rhythms. Annals of the New York Academy of Sciences. 940:299–306, 2001 [DOI] [PubMed] [Google Scholar]
  • 80.Morone NE, Greco CM, Moore CG, Rollman BL, Lane B, Morrow LA, Glynn NW, Weiner DK. A Mind-Body Program for Older Adults With Chronic Low Back Pain: A Randomized Clinical Trial. JAMA internal medicine. 176:329–337, 2016 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81.Morone NE, Greco CM, Weiner DK. Mindfulness meditation for the treatment of chronic low back pain in older adults: a randomized controlled pilot study. Pain. 134:310–319, 2008 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82.Morone NE, Lynch CS, Greco CM, Tindle HA, Weiner DK. “I felt like a new person.” the effects of mindfulness meditation on older adults with chronic pain: qualitative narrative analysis of diary entries. The journal of pain : official journal of the American Pain Society. 9:841–848, 2008 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83.Mrazek MD, Franklin MS, Phillips DT, Baird B, Schooler JW. Mindfulness training improves working memory capacity and GRE performance while reducing mind wandering. Psychological science. 24:776–781, 2013 [DOI] [PubMed] [Google Scholar]
  • 84.Murata T, Takahashi T, Hamada T, Omori M, Kosaka H, Yoshida H, Wada Y. Individual trait anxiety levels characterizing the properties of zen meditation. Neuropsychobiology. 50:189–194, 2004 [DOI] [PubMed] [Google Scholar]
  • 85.O’Doherty JP, Buchanan TW, Seymour B, Dolan RJ. Predictive neural coding of reward preference involves dissociable responses in human ventral midbrain and ventral striatum. Neuron. 49:157–166, 2006 [DOI] [PubMed] [Google Scholar]
  • 86.Park G, Van Bavel JJ, Vasey MW, Thayer JF. Cardiac vagal tone predicts inhibited attention to fearful faces. Emotion. 12:1292–1302, 2012 [DOI] [PubMed] [Google Scholar]
  • 87.Park G, Vasey MW, Van Bavel JJ, Thayer JF. Cardiac vagal tone is correlated with selective attention to neutral distractors under load. Psychophysiology. 50:398–406, 2013 [DOI] [PubMed] [Google Scholar]
  • 88.Paul NA, Stanton SJ, Greeson JM, Smoski MJ, Wang L. Psychological and neural mechanisms of trait mindfulness in reducing depression vulnerability. Social cognitive and affective neuroscience. 8:56–64, 2013 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89.Penfield W, Boldrey E. Somatic motor and sensory representation in the cerebral cortex of man as studied by electrical stimulation. Brain : a journal of neurology. 60:389, 1937 [Google Scholar]
  • 90.Perlman DM, Salomons TV, Davidson RJ, Lutz A. Differential effects on pain intensity and unpleasantness of two meditation practices. Emotion. 10:65–71, 2010 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 91.Pollatos O, Fustos J, Critchley HD. On the generalised embodiment of pain: how interoceptive sensitivity modulates cutaneous pain perception. Pain. 153:1680–1686, 2012 [DOI] [PubMed] [Google Scholar]
  • 92.Pollo A, Vighetti S, Rainero I, Benedetti F. Placebo analgesia and the heart. Pain. 102:125–133, 2003 [DOI] [PubMed] [Google Scholar]
  • 93.Porges SW. Orienting in a defensive world: mammalian modifications of our evolutionary heritage. A Polyvagal Theory. Psychophysiology. 32:301–318, 1995 [DOI] [PubMed] [Google Scholar]
  • 94.Price DD. Psychological and neural mechanisms of the affective dimension of pain. Science. 288:1769–1772, 2000 [DOI] [PubMed] [Google Scholar]
  • 95.Price DD, Bush FM, Long S, Harkins SW. A comparison of pain measurement characteristics of mechanical visual analogue and simple numerical rating scales. Pain. 56:217–226, 1994 [DOI] [PubMed] [Google Scholar]
  • 96.Price DD, Harkins SW, Baker C. Sensory-affective relationships among different types of clinical and experimental pain. Pain. 28:297–307, 1987 [DOI] [PubMed] [Google Scholar]
  • 97.Price DD, McGrath PA, Rafii A, Buckingham B. The validation of visual analogue scales as ratio scale measures for chronic and experimental pain. Pain. 17:45–56, 1983 [DOI] [PubMed] [Google Scholar]
  • 98.Quintana DS. Statistical considerations for reporting and planning heart rate variability case-control studies. Psychophysiology. 54:344–349, 2017 [DOI] [PubMed] [Google Scholar]
  • 99.Renthal W Seeking Balance Between Pain Relief and Safety: CDC Issues New Opioid-Prescribing Guidelines. JAMA neurology. 73:513–514, 2016 [DOI] [PubMed] [Google Scholar]
  • 100.Resstel LB, Correa FM. Involvement of the medial prefrontal cortex in central cardiovascular modulation in the rat. Autonomic neuroscience : basic & clinical. 126–127:130–138, 2006 [DOI] [PubMed] [Google Scholar]
  • 101.Rhudy JL, DelVentura JL, Terry EL, Bartley EJ, Olech E, Palit S, Kerr KL. Emotional modulation of pain and spinal nociception in fibromyalgia. Pain. 154:1045–1056, 2013 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 102.Samejima K, Ueda Y, Doya K, Kimura M. Representation of action-specific reward values in the striatum. Science. 310:1337–1340, 2005 [DOI] [PubMed] [Google Scholar]
  • 103.Sharma VK, Subramanian SK, Arunachalam V, Rajendran R. Heart Rate Variability in Adolescents - Normative Data Stratified by Sex and Physical Activity. Journal of clinical and diagnostic research : JCDR. 9:CC08–13, 2015 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 104.Sharp PB, Sutton BP, Paul EJ, Sherepa N, Hillman CH, Cohen NJ, Kramer AF, Prakash RS, Heller W, Telzer EH, Barbey AK. Mindfulness training induces structural connectome changes in insula networks. Scientific reports. 8:7929, 2018 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 105.Sharpe L, Haggman S, Nicholas M, Dear BF, Refshauge K. Avoidance of affective pain stimuli predicts chronicity in patients with acute low back pain. Pain. 155:45–52, 2014 [DOI] [PubMed] [Google Scholar]
  • 106.Sheline YI, Barch DM, Price JL, Rundle MM, Vaishnavi SN, Snyder AZ, Mintun MA, Wang S, Coalson RS, Raichle ME. The default mode network and self-referential processes in depression. Proceedings of the National Academy of Sciences of the United States of America. 106:1942–1947, 2009 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 107.Singh V, Wisniewski A, Britton J, Tattersfield A. Effect of Yoga Breathing Exercises (Pranayama) on Airway Reactivity in Subjects with Asthma. Lancet. 335:1381–1383, 1990 [DOI] [PubMed] [Google Scholar]
  • 108.Slagter HA, Lutz A, Greischar LL, Francis AD, Nieuwenhuis S, Davis JM, Davidson RJ. Mental training affects distribution of limited brain resources. PLoS biology. 5:e138, 2007 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 109.Souza GG, Mendonca-de-Souza AC, Barros EM, Coutinho EF, Oliveira L, Mendlowicz MV, Figueira I, Volchan E. Resilience and vagal tone predict cardiac recovery from acute social stress. Stress. 10:368–374, 2007 [DOI] [PubMed] [Google Scholar]
  • 110.Starr CJ, Sawaki L, Wittenberg GF, Burdette JH, Oshiro Y, Quevedo AS, Coghill RC. Roles of the insular cortex in the modulation of pain: insights from brain lesions. The Journal of neuroscience : the official journal of the Society for Neuroscience. 29:2684–2694, 2009 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 111.Tang YY, Holzel BK, Posner MI. The neuroscience of mindfulness meditation. Nature reviews. Neuroscience. 16:213–225, 2015 [DOI] [PubMed] [Google Scholar]
  • 112.Tang YY, Ma Y, Fan Y, Feng H, Wang J, Feng S, Lu Q, Hu B, Lin Y, Li J, Zhang Y, Wang Y, Zhou L, Fan M. Central and autonomic nervous system interaction is altered by short-term meditation. Proceedings of the National Academy of Sciences of the United States of America. 106:8865–8870, 2009 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 113.Taylor VA, Grant J, Daneault V, Scavone G, Breton E, Roffe-Vidal S, Courtemanche J, Lavarenne AS, Beauregard M. Impact of mindfulness on the neural responses to emotional pictures in experienced and beginner meditators. NeuroImage. 57:1524–1533, 2011 [DOI] [PubMed] [Google Scholar]
  • 114.Team J JASP (Version 0.9.0.1). 2018 [Google Scholar]
  • 115.Ter Horst GJ, Postema F. Forebrain parasympathetic control of heart activity: retrograde transneuronal viral labeling in rats. The American journal of physiology. 273:H2926–2930, 1997 [DOI] [PubMed] [Google Scholar]
  • 116.Thayer JF, Ahs F, Fredrikson M, Sollers JJ 3rd, Wager TD. A meta-analysis of heart rate variability and neuroimaging studies: implications for heart rate variability as a marker of stress and health. Neuroscience and biobehavioral reviews. 36:747–756, 2012 [DOI] [PubMed] [Google Scholar]
  • 117.Thayer JF, Brosschot JF. Psychosomatics and psychopathology: looking up and down from the brain. Psychoneuroendocrinology. 30:1050–1058, 2005 [DOI] [PubMed] [Google Scholar]
  • 118.Thayer JF, Hansen AL, Saus-Rose E, Johnsen BH. Heart rate variability, prefrontal neural function, and cognitive performance: the neurovisceral integration perspective on self-regulation, adaptation, and health. Annals of behavioral medicine : a publication of the Society of Behavioral Medicine. 37:141–153, 2009 [DOI] [PubMed] [Google Scholar]
  • 119.Thayer JF, Lane RD. A model of neurovisceral integration in emotion regulation and dysregulation. Journal of affective disorders. 61:201–216, 2000 [DOI] [PubMed] [Google Scholar]
  • 120.Tracy LM, Gibson SJ, Labuschagne I, Georgiou-Karistianis N, Giummarra MJ. Intranasal oxytocin reduces heart rate variability during a mental arithmetic task: A randomised, double-blind, placebo-controlled cross-over study. Progress in neuro-psychopharmacology & biological psychiatry. 81:408–415, 2018 [DOI] [PubMed] [Google Scholar]
  • 121.Treister R, Kliger M, Zuckerman G, Goor Aryeh I, Eisenberg E. Differentiating between heat pain intensities: the combined effect of multiple autonomic parameters. Pain. 153:1807–1814, 2012 [DOI] [PubMed] [Google Scholar]
  • 122.Tukey JW: Exploratory data analysis, Addison-Wesley, Reading, PA, 1977. [Google Scholar]
  • 123.Turner JA, Anderson ML, Balderson BH, Cook AJ, Sherman KJ, Cherkin DC. Mindfulness-based stress reduction and cognitive behavioral therapy for chronic low back pain: similar effects on mindfulness, catastrophizing, self-efficacy, and acceptance in a randomized controlled trial. Pain. 157:2434–2444, 2016 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 124.Vago DR, Silbersweig DA. Self-awareness, self-regulation, and self-transcendence (S-ART): a framework for understanding the neurobiological mechanisms of mindfulness. Frontiers in human neuroscience. 6:296, 2012 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 125.Wiech K, Lin CS, Brodersen KH, Bingel U, Ploner M, Tracey I. Anterior insula integrates information about salience into perceptual decisions about pain. The Journal of neuroscience : the official journal of the Society for Neuroscience. 30:16324–16331, 2010 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 126.Wilhelm FH, Peyk P: ANSLAB: Autonomic Nervous System Laboratory (Version 2.51) [Computer Software], 2005.
  • 127.Zaki J, Davis JI, Ochsner KN. Overlapping activity in anterior insula during interoception and emotional experience. NeuroImage. 62:493–499, 2012 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 128.Zald DH, Boileau I, El-Dearedy W, Gunn R, McGlone F, Dichter GS, Dagher A. Dopamine transmission in the human striatum during monetary reward tasks. The Journal of neuroscience : the official journal of the Society for Neuroscience. 24:4105–4112, 2004 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 129.Zeidan F, Adler-Neal AL, Wells RE, Stagnaro E, May LM, Eisenach JC, McHaffie JG, Coghill RC. Mindfulness-Meditation-Based Pain Relief Is Not Mediated by Endogenous Opioids. The Journal of neuroscience : the official journal of the Society for Neuroscience. 36:3391–3397, 2016 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 130.Zeidan F, Emerson NM, Farris SR, Ray JN, Jung Y, McHaffie JG, Coghill RC. Mindfulness Meditation-Based Pain Relief Employs Different Neural Mechanisms Than Placebo and Sham Mindfulness Meditation-Induced Analgesia. The Journal of neuroscience : the official journal of the Society for Neuroscience. 35:15307–15325, 2015 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 131.Zeidan F, Emerson NM, Farris SR, Ray JN, Jung Y, McHaffie JG, Coghill RC. Mindfulness Meditation-Based Pain Relief Employs Different Neural Mechanisms Than Placebo and Sham Mindfulness Meditation-Induced Analgesia. Journal of Neuroscience. 35:15307–15325, 2015 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 132.Zeidan F, Gordon NS, Merchant J, Goolkasian P. The effects of brief mindfulness meditation training on experimentally induced pain. The journal of pain : official journal of the American Pain Society. 11:199–209, 2010 [DOI] [PubMed] [Google Scholar]
  • 133.Zeidan F, Grant JA, Brown CA, McHaffie JG, Coghill RC. Mindfulness meditation-related pain relief: evidence for unique brain mechanisms in the regulation of pain. Neuroscience letters. 520:165–173, 2012 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 134.Zeidan F, Johnson SK, Diamond BJ, David Z, Goolkasian P. Mindfulness meditation improves cognition: evidence of brief mental training. Consciousness and cognition. 19:597–605, 2010 [DOI] [PubMed] [Google Scholar]
  • 135.Zeidan F, Johnson SK, Gordon NS, Goolkasian P. Effects of brief and sham mindfulness meditation on mood and cardiovascular variables. Journal of alternative and complementary medicine. 16:867–873, 2010 [DOI] [PubMed] [Google Scholar]
  • 136.Zeidan F, Martucci KT, Kraft RA, Gordon NS, McHaffie JG, Coghill RC. Brain mechanisms supporting the modulation of pain by mindfulness meditation. The Journal of neuroscience : the official journal of the Society for Neuroscience. 31:5540–5548, 2011 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 137.Zeidan F, Martucci KT, Kraft RA, McHaffie JG, Coghill RC. Neural correlates of mindfulness meditation-related anxiety relief. Social cognitive and affective neuroscience. 9:751–759, 2014 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 138.Zeidan F, Vago DR. Mindfulness meditation-based pain relief: a mechanistic account. Annals of the New York Academy of Sciences. 1373:114–127, 2016 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 139.Zunhammer M, Eichhammer P, Busch V. Do cardiorespiratory variables predict the antinociceptive effects of deep and slow breathing? Pain medicine. 14:843–854, 2013 [DOI] [PubMed] [Google Scholar]

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