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First published online February 26, 2016

Interpersonal Autonomic Physiology: A Systematic Review of the Literature

Abstract

Interpersonal autonomic physiology is defined as the relationship between people’s physiological dynamics, as indexed by continuous measures of the autonomic nervous system. Findings from this field of study indicate that physiological activity between two or more people can become associated or interdependent, often referred to as physiological synchrony. Physiological synchrony has been found in both new and established relationships across a range of contexts, and it correlates with a number of psychosocial constructs. Given these findings, interpersonal physiological interactions are theorized to be ubiquitous social processes that co-occur with observable behavior. However, this scientific literature is fragmented, making it difficult to evaluate consistency across reports. In an effort to facilitate more standardized scholarly approaches, this systematic review provides a description of existing work in the area and highlights theoretical, methodological, and statistical issues to be addressed in future interpersonal autonomic physiology research.

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Appendices

Appendix A Systematic Literature Review Results.
ReferencePopulationTerm for physiological synchronyStatistic of physiological synchronyMethodology (idiographic or nomothetic)Null hypothesis testedPhysiological measures
Bachrach, Fontbonne, Joufflineau, and Ulloa (2015)Other: Dancers and audienceEntrainmentRegressionBothNoRR
Baker et al. (2015)Mother–childBiobehavioral synchronyCorrelationNomotheticNoEDA
Chanel, Kivikangas, and Ravaja (2012)TeammatesComplianceCorrelation; Weighted coherenceNomotheticNoHF-HRV; HF-Resp-Amp; IBI; Resp-Amp; SC; VLF-HRV
Chatel-Goldman, Congedo, Jutten, and Schwartz (2014)CouplesPhysiological couplingCross-correlationsNomotheticYesRVT; PRV; SC
Codrons, Bernardi, Vandoni, and Bernardi (2014)Other: Student groupEntrainmentGeneralized Partial directed coherenceNomotheticYesRR; HP
Coleman, Greenblatt, and Solomon (1956)Therapist–clientPhysiological relationshipCorrelationIdiographicNoHR
Creaven, Skowron, Hughes, Howard, and Loken (2014)Mother–childConcordanceMultilevel modelNomotheticNoHR; RSA
Di Mascio, Boyd, Greenblatt, and Solomon (1955)Therapist–clientSociophysiologyCorrelationIdiographicNoPR
Ebisch et al. (2012)Mother–childSynchronyCorrelationNomotheticNoTemp
Elkins et al. (2009)TeammatesComplianceSignal matching; Instantaneous derivative matching; Directional agreement; CorrelationNomotheticNoIBI; RSA
Feldman, Magori-Cohen, Galili, Singer, and Louzoun (2011)Mother–childBiological synchronyARIMA model with cross-correlation functionNomotheticYesIBI
Ferrer and Helm (2013)CouplesCovariationDifferential equation modelsBothYesHR; Resp
Field, Healy, and LeBlanc (1989)Mother–childSynchronyCoherence and cross-coherenceNomotheticNoHR
Field et al. (1992)Other: Friends–acquaintancesCoherenceCoherenceNomotheticNoHR
Gates, Gatzke-Kopp, Sandsten, and Blandon (2015)CouplesLinkageCross-correlationNomotheticNoRSA
Ghafar-Tabrizi (2008)Mother–childLinkageBivariate time-series analysisBothNoHR; FPA
Goldstein, Field, and Healy (1989)Other: Friends–acquaintancesConcordanceRepeated-measures ANOVANomotheticNoHR
Guastello, Pincus, and Gunderson (2006)Other: ClassmatesLinkageLinear regression; Nonlinear regressionBothNoSC
Ham and Tronick (2009)Mother–childConcordanceWindowed correlation of slopeNomotheticNoSC
Helm, Sbarra, and Ferrer (2012)CouplesCovariationCoupled oscillator modelsNomotheticYesHR; Resp
Helm, Sbarra, and Ferrer (2014)CouplesSynchronyCross-lagged panel modelsBothNoRSA
Henning, Armstead, and Ferris (2009)TeammatesComplianceCross-correlationNomotheticNoHRV
Henning, Boucsein, and Gil (2001)TeammatesComplianceCross-correlation; Weighted cross-coherenceNomotheticNoHRV; RR; SC
Henning and Korbelak (2005)TeammatesComplianceCross-correlationNomotheticNoIBI
Hill-Soderlund et al. (2008)Mother–childPhysiological AttunementGeneral linear model with repeated-measures and time-varying covariatesNomotheticNoRSA
Järvelä, Kivikangas, Kätsyri, and Ravaja (2013)TeammatesLinkageCross-correlation; Weighted cross-coherenceNomotheticNoIBI; HF-HRV; SCR; SCL
Kaplan, Burch, Bloom, and Edelberg (1963)Other: ClassmatesCovariationCorrelationNomotheticNoSCR
Konvalinka et al. (2011)Other: Familial vs. non-familialSynchronized arousalCross-recurrence quantification analysisBothNoHR
Kraus and Mendes (2014)Other: Mock businessmenAffect contagionLagged correlationNomotheticNoPEP
Levenson and Gottman (1983)CouplesLinkageBivariate time-series analysisNomotheticNoHR; PTT; SCL; ACTa; Physiological index (HR; PTT; SCL; ACTa)
Liu, Zhou, Palumbo, and Wang (in press)CouplesLinkageDynamic correlationNomotheticYesSC
Lunkenheimer et al. (2015)Mother–childSynchronyMultilevel coupled autoregressive modelBothNoRSA
Manini et al. (2013)Mother–childAttunementCorrelations; Cross-correlationsBothNoTemp
Marci (2006)Other: Audience membersEmotional engagementProprietary analysis not divulgedUnspecifiedNoPhysiological index (SC; HR; RR; ACTa)
Marci, Ham, Moran, and Orr (2007)Therapist–clientConcordanceWindowed correlation of slopeNomotheticYesSCL
Marci and Orr (2006)Therapist–clientConcordanceWindowed correlation of slopeNomotheticNoSCL
McAssey, Helm, Hsieh, Sbarra, and Ferrer (2013)CouplesSynchronyStructural heteroscedastic measurement-error model; Empirical mode decompositionBothYesHR; RR; TI
McFarland (2001)Other: FriendsSynchronyCross-correlationNomotheticYesRR
Messina et al. (2013)Therapist–clientConcordanceWindowed correlation of slopeBothNoSCL
Mitkidis, McGraw, Roepstorff, and Wallot (2015)Other: randomly paired studentsSynchronyCross-recurrence quantification analysisBothNoHR
Montague, Xu, and Chiou (2014)TeamsComplianceSignal matching; Instantaneous derivative matching; Directional agreement; Cross-correlation; Weighted coherenceNomotheticYesIBI; HF-HRV; LF-HRV; SC
Moore (2009)Mother–childNoneCorrelationNomotheticNoRSA
Moore et al. (2009)Mother–childSynchronyCorrelationNomotheticNoHP; RSA
Morgan, Gunes, and Bryan-Kinns (2015)Other: MusiciansPhysiological linkagePercentage of matched slopeNomotheticNoHR
Muller and Lindenberger (2011)Other: Choir membersSynchronyWavelet coherence; Granger causality (multivariate autoregressive model)BothNoHRV; Resp
Noy, Levit-Binun, and Golland (2015)Other: Experts at joint improvisationSynchronyCorrelationNomotheticNoHR
Quer, Daftari, and Rao (in press)Other: Groups meditatingEntrainmentWavelet coherenceIdiographicNoHF-HRV; LF-HRV; VLF-HR; RR
Reed, Randall, Post, and Butler (2013)CouplesLinkageLongitudinal multilevel dyadic modelNomotheticYesBP; IBI; SC
Robinson, Herman, and Kaplan (1982)Therapist–clientConcordanceCorrelation; Discrete categorizations of SCRNomotheticNoSCR; FST
Shearn, Spellman, Straley, Meirick, and Stryker (1999)Other: Friends–strangersShared physiologyCorrelationsNomotheticNoSC; Blush
Silver and Parente (2004)Other: StrangersShared physiological reactionCorrelationNomotheticNoSC
Strang, Funke, Russell, Dukes, and Middendorf (2014)TeammatesPhysio-behavioral couplingcross-correlation, cross-recurrence quantification analysis, and cross-fuzzy entropyBothYesIBI
Stratford, Lal, and Meara (2009)Therapist–clientConcordanceWindowed correlation of slopeNomotheticNoSC
Stratford, Lal, and Meara (2012)Therapist–clientConcordanceWindowed correlation of slopeNomotheticNoSC
Suveg, Shaffer, and Davis (2016)Mother–childSynchronyCross-correlationNomotheticNoIBI
Thomsen and Gilbert (1998)CouplesLinkageBivariate time-series analysisNomotheticNoHR; SC
Van Puyvelde et al. (2015)Mother–childSynchronyDifference scoreNomotheticNoRSA
Vickhoff et al. (2013)Other: Choir singersInter-individual synchronizationCross-coherenceBothNoHRV
Walker, Muth, Switzer, and Rosopa (2013)TeammatesComplianceRegressions and correlationsNomotheticNoPhysiological index (RSA; PEP; LVET)
Waters, West, and Mendes (2014)Mother–childCovariationGrowth curve modelNomotheticNoHR; VC
Woltering, Lishak, Elliott, Ferraro, and Granic (2015)Mother–childSynchronyStructural heteroscedastic measurement-error modelNomotheticNoHR
Note. RR = respiration rate; EDA = electrodermal activity; HF-HRV = high-frequency heart rate variability; HF-Resp-Amp = high-frequency respiration amplitude; IBI = interbeat interval; Resp-Amp = respiration amplitude; SC = skin conductance; VLF-HRV = very-low-frequency heart rate variability; RVT = respiration volume time; PRV = pulse rate variability; HP = heart period; HR = heart rate; RSA = respiratory sinus arrhythmia; PR = pulse rate; Temp = facial temperature; ARIMA = autoregressive integrated moving average model; Resp = respiration; FPA = finger pulse amplitude; ANOVA = analysis of variance; HRV = heart rate variability; SCR = skin conductance response; SCL = skin conductance level; PEP = pre-ejection period; PTT = pulse transmission time; ACT = somatic movement; TI = thoracic impedance; LF-HRV = low-frequency heart rate variability; BP = blood pressure; FST = finger skin temperature; Blush = facial blushing; LVET = left ventricular ejection time; VC = ventricle contractility.
a
ACT is a behavioral measure, but was used as part of an index of physiology.
Appendix B Results by Physiological Measure: Cardiac Activity.
SourceMeasureContextFindingResults
Coleman, Greenblatt, and Solomon (1956)HRGeneralSSignificant correlations found between client and therapist HR.
Creaven, Skowron, Hughes, Howard, and Loken (2014)HRGeneralSPositive concurrent PS between mother and child HR was observed during the resting condition.
 BetweenSMagnitudes of PS in HR significantly greater in the maltreating group. When a child maltreating mother displayed lower relative HR, her child displayed lower HR. Conversely, higher maternal HR was associated with higher child HR in non-maltreating dyads.
 ModeratorSMother–child PS in HR was moderated by mothers’ average HR, such that mothers with greater HR elevations had lower PS, and those with lower average HR had greater PS.
Ferrer and Helm (2013)HRWithinSChange across tasks (baseline, gazing, and imitation) was significant for some participants, although on average it was not.
 TypologySNegative PS was found, such that when parameters for one partner decreased, the other partner’s increased.
Positive PS in HR was found in more than half of the dyads.
 PsychoSoc Females’ PS in HR during the imitation task was related to daily affect, suggesting that females’ physiology adjusted to their male partners’ in this task similarly to adjustments in response to their partners’ daily affect.
Field et al. (1992)HRBetweenNSNo statistically significant difference in PS between friend and acquaintance dyads.
Field, Healy, and LeBlanc (1989)HRBetweenNSNo significant differences in PS magnitudes across depressed and non-depressed dyads.
Ghafar-Tabrizi (2008)HRBetweenSIn the high-conflict group when daughters led the conversation, daughter’s HR predicted mother’s HR significantly better than when mothers led the conversation.
 WithinNSEquivalent levels of PS demonstrated across varied conversation topics.
  SWhen daughters led the conversation, their HR predicted the mother’s HR better than mother’s HR predicted daughter’s, and vice versa.
 PsychoSocSLevels of felt and preferred arousal were associated with the magnitude of PS during dyadic interaction.
Goldstein, Field, and Healy (1989)HRBetweenSGreater PS for friends vs. acquaintance dyads.
During pre-play baseline, friends showed significantly greater PS than acquaintances.
 Helm, Sbarra, and Ferrer (2012) NSNo significant differences in PS between friend and acquaintance dyads during play period.
HRWithinSDifferent patterns of PS were found in couples across baseline, gazing, and imitation tasks.
 TypologySPatterns suggesting both positive and negative PS present in couples during baseline and gazing tasks, but only negative PS was observed during imitation task.
 PsychoSocSHigher anxiety and avoidance were associated with greater magnitudes of PS in couples during the imitation task, but not during the baseline or gazing tasks.
  NSNeither relationship length or satisfaction was related to couples’ PS in HR.
Konvalinka et al. (2011)HRBetweenSPS was found between fire walkers and familial spectators during ritual fire walking, but not between fire walkers and non-familial spectators.
Levenson and Gottman (1983)HRWithinNSPS in HR was not detected when couples were discussing neutral or conflict topics.
 PsychoSocNSPS in HR was not predictive of marital satisfaction, affect, or affect reciprocity.
McAssey, Helm, Hsieh, Sbarra, and Ferrer (2013)HRWithinSNo PS during baseline, and significant PS for some couples during gazing and imitation task. No significant results were seen in randomly paired participant data.
Mitkidis, McGraw, Roepstorff, and Wallot (2015)HRBetweenSPS was significantly greater in student dyad groups that played an economic trust game (public goods game) following a joint cooperative task, compared with groups who did not play the trust game.
 WithinSIn the group that played the public goods game, PS was positively associated with expectations of returns but not of investments (i.e., mock money they thought they would get back, vs. mock money they would invest). The authors concluded that PS could be viewed as a proxy measure of trust.
Morgan, Gunes, and Bryan-Kinns (2015)HRGeneralNSNo PS was detected between drummers’ HR.
Noy, Levit-Binun, and Golland (2015)HRGeneralSSignificant PS in HR was found between dyads mirroring each other’s movements. PS was significantly, positively correlated with behavioral synchrony, and heart rate.
 PsychoSocSSignificant positive correlation found between PS in HR and dyads’ self-reported experiences of togetherness.
Stratford, Lal, and Meara (2009)HRWithinSPatterns of EEG during high PS differed across therapy sessions.
Stratford, Lal, and Meara (2012)HRWithinSPatterns of EEG during high PS differed across therapy sessions.
Thomsen and Gilbert (1998)HRGeneralSPS was detected in couples’ HR when discussing a conflict topic, but results varied across dyads
Woltering, Lishak, Elliott, Ferraro, and Granic (2015)HRWithinSPS in HR observed between mother–child dyads during positive and negative discussions. More than twice the magnitude of PS observed during the last vs. first topic, suggesting increased attempts at repair.
  NSPS in HR between mother–child dyads associated with behavioral synchrony during negative, but not positive, discussion.
 GroupNSNo difference in mother–child PS in HR between children with typical and atypical self-regulation during discussions.
 PsychoSocSIncreased PS significantly predicted the degree of “repair” in mother–child relationship following a negative discussion, for both children with and without self-regulation issues.
Creaven, Skowron, Hughes, Howard, and Loken (2014)HR/RSAGeneralSPS was observed in mother HR and child RSA over time.
 ModeratorSHigher resting maternal HR was associated with significantly lower PS in mother HR and child RSA.
Waters, West, and Mendes (2014)HR/VCGeneralSSignificant PS was found between infant HR and mother VC.
 WithinSPS between infant HR and mother VC was found in the negative and positive stress conditions, but not the neutral condition. PS increased over time in negative stress condition, but not positive or neutral conditions.
Di Mascio, Boyd, Greenblatt, and Solomon (1955)PRGeneralSPS of pulse rate fluctuations found between patient and doctor during a psychiatric interview.
 TypologySPulse rates observed to vary together or inversely, labeled concordance and discordance (i.e., positive and negative PS).
Chatel-Goldman, Congedo, Jutten, and Schwartz (2014)PRVGeneralNASignificance of PS between couples’ pulse rate variability was not tested.
 WithinNSNo significant differences in PS of pulse rate variability when couples could or could not touch each other.
 PsychoSocNSNo significant correlations between empathy scores and PS in pulse rate variability found.
Levenson and Gottman (1983)PTTWithinNSPS in PTT was not detected when couples were discussing neutral or conflict topics.
 PsychoSocNSPS in PTT was not predictive of marital satisfaction, affect, or affect reciprocity.
Ghafar-Tabrizi (2008)FPABetweenSPS was stronger during conflict than pleasant conversation for the high-conflict group only.
 PsychoSocSLevels of preferred, but not felt, arousal were associated with the strength of PS in finger pulse amplitude during dyadic interaction.
Reed, Randall, Post, and Butler (2013)BPPsychoSocSAt low levels of negative influence, PS in BP was significantly negative, but at high levels of negative influence, BP was unsynchronized. When demand behaviors were not present, PS in BP was significantly negative, while during demand behaviors, PS was positive. When withdraw behaviors were not present, PS in BP was negative. When withdraw behaviors were present, PS was significantly positive.
McAssey, Helm, Hsieh, Sbarra, and Ferrer (2013)TIWithinSSignificant increase in PS in thoracic impedance from baseline to the gazing and in-sync tasks for some couples.
Chanel, Kivikangas, and Ravaja (2012)IBIGeneralSTeammates’ PS in IBI positive and significantly different from zero.
 WithinSTeammates’ PS in IBI higher during competitive vs. cooperative play.
 PsychoSocNSNo self-report gaming experience constructs were significantly related to PS in IBI.
Elkins et al. (2009)IBIBetweenNSTrend-level differences in mean PS in IBI found between teams with high and low performance, but did not reach significance.
Feldman, Magori-Cohen, Galili, Singer, and Louzoun (2011)IBIGeneralSStatistically significant levels of PS in IBI were found during face-to-face interactions between mothers and infants.
 ModeratorSTime periods involving vocal synchrony, affect synchrony, or the co-occurrence of vocal and affect synchrony between mothers and infants were significantly related to increased PS in IBI.
Henning and Korbelak (2005)IBIGeneralSThere was a small significant effect indicating that PS in IBI predicted some measures of team performance.
Järvelä, Kivikangas, Kätsyri, and Ravaja (2013)IBIGeneralSPS present among team members.
 WithinSPS highest during competitive conditions without a computerized opponent.
 ModeratorSPrevious experience with the game minimized conditional differences in PS.
 PsychoSocSIncreased empathy and understanding between players associated with increased PS in IBI.
Montague, Xu, and Chiou (2014)IBIWithinSPS in teammates’ IBI was higher during team trials than during baseline.
  NSA number of metrics of team performance and experience were not correlated with PS in IBI.
Reed, Randall, Post, and Butler (2013)IBIGeneralNSPS in IBI was not observed during couples’ conversations.
 PsychoSocNSPS in IBI was not observed and not significantly different across contexts of couples’ conversations.
Strang, Funke, Russell, Dukes, and Middendorf (2014)IBIGeneralNSPS in IBI was not significantly greater than PS from randomly paired dyads.
Suveg, Shaffer, and Davis (2016)IBIGeneralSPS was detected between mothers’ and their children during a joint task.
  NSPS was not detected between mothers and their children during a silent baseline.
 ModeratorSFamily risk moderated the relationship between physiological and behavioral synchrony between mothers and their children. Higher risk families showed a negative association between behavioral and physiological synchrony.
Family risk moderated the relation between PS and child self-regulation. High-risk children had a negative relation between self-regulation and PS.
  NSThere were no moderating effects between behavioral and physiological synchrony or child-self-regulation in low-risk families.
 WithinSPS in IBI was equal during high and low arousal, in both high- and low-risk dyads.
 BetweenSPS was negatively correlated with behavioral synchrony in high-risk families.
Henning, Armstead, and Ferris (2009)HRVWithinSTeammates’ PS in HRV negatively associated with ratings for team productivity.
  NSTeammates’ PS in HRV not significantly associated with ratings of individual participation, workload, or effort for decisions.
 PsychoSocSTeammates’ PS in HRV negatively associated with ratings for quality of communication, and ability to work together.
Henning, Boucsein, and Gil (2001)HRVWithinSPS in HRV a significant predictor of some measures of team performance.
  NSTeammates’ PS in HRV not significantly correlated with team behavioral coordination.
Muller and Lindenberger (2011)HRVWithinSPS in HRV was significantly stronger during singing than during rest. Directed positive PS where physiological changes in the conductor were followed by choir members.
Vickhoff et al. (2013)HRVWithinSPS in choir members’ HRV was detected during the hymn and mantra singing.
  NSPS in choir members’ HRV was not detected during silent baselines, or when members were humming.
Chanel, Kivikangas, and Ravaja (2012)HF-HRVWithinNSTeammates’ PS in HF-HRV at the home and at the lab not significantly different.
  STeammates’ PS in HF-HRV significantly higher for cooperative play as compared with competitive play.
 PsychoSocSTeammates’ PS in HF-HRV was positively associated with social negative feelings.
Järvelä, Kivikangas, Kätsyri, and Ravaja (2013)HF-HRVGeneralSPS in HF-HRV was present among team members.
 PsychoSocSPS in HF-HRV was positively associated with self-report ratings of perceived comprehension and negatively with behavioral involvement.
Montague, Xu, and Chiou (2014)HF-HRVWithinSPS in teammates’ HF-HRV during difficult team virtual tasks and when technology was unreliable was significantly higher than in other conditions. Also, PS in HF-HRV was negatively correlated with teams’ trust in the technology.
  NSA number of measures of team performance were not significantly correlated with teams’ PS in HF-HRV.
Quer, Daftari, and Rao (in press)HF-HRVWithinSGroup-level PS in HF-HRV was detected in groups meditating, chanting, and performing breathing exercises.
Montague, Xu, and Chiou (2014)LF-HRVWithinNSA number of measures of team performance and experience were not significantly correlated with teams’ PS in LF-HRV.
Quer, Daftari, and Rao (in press)LF-HRVWithinSGroup-level PS in LF-HRV was detected in groups meditating, chanting, and performing breathing exercises.
Chanel, Kivikangas, and Ravaja (2012)VLF-HRVWithinSTeammates’ PS in VLF-HRV significantly higher at home than in the lab.
Quer, Daftari, and Rao (in press)VLF-HRVWithinSGroup-level PS in VLF-HRV was detected in groups meditating, chanting, and performing breathing exercises.
Creaven, Skowron, Hughes, Howard, and Loken (2014)RSAGeneralNSNo significant PS in mother and child RSA.
 ModeratorNSMaltreatment status not a significant moderator of mother–child PS in RSA.
Elkins et al. (2009)RSABetweenSTeammates in high- and low-performance groups had significantly different levels of PS in RSA.
Gates, Gatzke-Kopp, Sandsten, and Blandon (2015)RSAPsychoSocSPS in RSA was significantly and positively correlated with self-reported marital conflict.
Helm, Sbarra, and Ferrer (2014)RSAGeneralSResults indicated that PS in RSA was significantly different from zero.
 WithinSPS in RSA significantly increased from the baseline to the conversation tasks, and that high RSA in one partner led to higher RSA in the other partner.
  NSCouples’ PS in RSA did not significantly differ by conversation type.
 TypologySResults indicated that PS followed a morphostatic pattern (i.e., bidirectional interdependence around a stable arousal level).
 PsychoSocSPS was significantly stronger in couples with higher quality relationships.
Hill-Soderlund et al. (2008)RSAGeneralNSNo significant findings of PS in RSA between mothers and infants during the strange situation paradigm.
 PsychoSocNSNo significant findings of PS in RSA between mothers and infants during the strange situation paradigm with attachment status as an interaction term.
Lunkenheimer et al. (2015)RSAGeneralSModels of PS explained over 30% of variance in mothers’ and children’s RSA across lab-based tasks.
 ModeratorSPS between mother and child RSA was negative when children’s problem behaviors were high, but positive when low.
Moore (2009)RSAGeneralNSCorrelations between mothers’ and their infants’ RSA change scores during the still-face paradigm were not statistically significant.
Moore et al. (2009)RSAGeneralNSPS in RSA was not detected between mother–infant dyads during a quiet, still 2-min baseline.
Walker, Muth, Switzer, and Rosopa (2013)RSAWithinNSPS in teammates’ RSA not a significant predictor of team errors.
Codrons, Bernardi, Vandoni, and Bernardi (2014)HPWithinNSPS in HP was not observed between groups of 10 people sitting still and quiet, or swinging their arms while in silence, listening to music, or listening to a metronome.
Moore et al. (2009)HPGeneralSA moderate, significant correlation between mother–infant’s HP was detected during a quiet, still 2-min baseline.
Kraus and Mendes (2014)PEPBetweenSResults indicated low-status partners’ PEP was positively synchronized with high-status partners’ PEP at a 30-s lag during mock negotiations, suggesting high-status partners led the interaction.
Van Puyvelde et al. (2015)RSAWithinSMother–infant RSA synchronized during different maternal breathing paces until infants were 2 months.
  NSMother–infant RSA did not synchronize during different maternal breathing paces when infants were 3 months.
Walker, Muth, Switzer, and Rosopa (2013)PEPWithinNSPS in teammates’ PEP not a significant predictor of team errors.
Walker, Muth, Switzer, and Rosopa (2013)LVETWithinNSPS in teammates’ LVET not a significant predictor of team errors.
Note. HR = heart rate; General = tested for presence of PS; S = statistically significant; PS = physiological synchrony; Between = tested for differences in PS across groups; Moderator = tested whether a variable moderated PS; Within = tested difference of PS across conditions within groups; Typology = tested for a specific type of PS; PsychoSoc = tested whether PS was associated with a psychosocial construct; NS = statistically non-significant; RSA = respiratory sinus arrhythmia; VC = ventricle contractility; PTT = pulse transmission time; FPA = finger pulse amplitude; BP = blood pressure; TI = thoracic impedance; IBI = interbeat interval; HRV = heart rate variability; HF-HRV = high-frequency heart rate variability; LF-HRV = low-frequency heart rate variability; VLF-HRV = very-low-frequency heart rate variability; HP = heart period; PEP = pre-ejection period; LVET = left ventricular ejection time.
Appendix C Results by Physiological Measure: Electrodermal Activity.
SourceMeasureContextFindingResults
Baker et al. (2015)SCModeratorSStrength of PS in SC was negatively associated with autism severity. More severe diagnosis was associated with lower PS.
Chanel, Kivikangas, and Ravaja (2012)SCGeneralSPS in SC significantly different from zero.
 PsychoSocSPositive affect during gaming experience positively associated with PS in SC.
  NSOther psychosocial results non-significant.
Chatel-Goldman, Congedo, Jutten, and Schwartz (2014)SCGeneralSPS in SC of couples beyond what was accounted for in data from random dyads.
 WithinSTouch significantly increased couples’ PS in SC.
 PsychoSocNSNo main effects of empathy state on PS in SC.
  SNegative correlation between “splitting emotions” and PS, as well as empathy and PS with touch, indicating touch had a stronger influence on PS between partners who were less empathic.
Guastello, Pincus, and Gunderson (2006)SCGeneralSSignificant levels of PS in SC between dyads during all conversation types.
 BetweenSNo statistically significant difference in PS between groups having different conversations.
Ham and Tronick (2009)SCWithinNSPositive PS in SC between mothers and infants approached significance during the still-face paradigm when infants displayed negative behaviors. PS in SC not significantly related to engagement behaviors between mother and infant during normal interaction.
  SWhen mothers engaged in soothing of infants during reengagement, greater positive PS occurred in relation to behavioral synchrony.
Henning, Boucsein, and Gil (2001)SCWithinSPS in SC was a significant predictor for some measures of team performance.
  NSPS in SC not predictive of team coordination.
Liu, Zhou, Palumbo, and Wang (in press)SCWithinSSignificant PS was detected in couples’ SC when participants were quietly seated face-to-face. PS during this condition was significantly greater than when couples were seated back-to-back.
  NSPS was not detected in couples’ SC when participants were quietly seated back-to-back.
Reed, Randall, Post, and Butler (2013)SCGeneralNSPS in SC not observed during couples’ conversations.
 PsychoSocNSPS in SC not observed and not significantly different across contexts of couples’ conversations.
Shearn, Spellman, Straley, Meirick, and Stryker (1999)SCBetweenSSignificant PS in SC between performers and friends, but not between friends and strangers or strangers and performers.
Silver and Parente (2004)SCGeneralSSignificant PS in SC between pairs of strangers conversing for the first time.
Stratford, Lal, and Meara (2009)SCWithinSPS in SC increased from Therapy Sessions 1 to 4. Highest PS in SC between therapists and clients recorded during Session 4. Patterns of EEG accompanying peak PS in SC differed across therapy sessions.
Stratford, Lal, and Meara (2012)SCWithinSDuring peak PS in SC between therapists and clients, frontal site showed significantly lower EEG beta activity during Therapy Session 6 compared with 3.
Thomsen and Gilbert (1998)SCGeneralSPS was detected in couples’ SC when discussing a conflict topic, but results were varied across dyads. Husbands’ SC was a significantly better predictor of wives’ SC than vice versa.
Järvelä, Kivikangas, Kätsyri, and Ravaja (2013)SCLGeneralSPS in SCL significantly higher than zero among team members.
 WithinNSPS in SCL not significantly different in cooperative/competitive conditions or including computer/non-computer players.
 PsychoSocNSPS in SCL not significantly related to teammates’ emotional or behavioral self-report items.
Levenson and Gottman (1983)SCLWithinNSPS in SCL not detected when couples discussing neutral or conflict topics.
 PsychoSocNSPS in SCL not predictive of marital satisfaction, affect, or affect reciprocity.
Marci, Ham, Moran, and Orr (2007)SCLPsychoSocSPS in SCL significantly and positively correlated with patient ratings of therapist empathy.
Patients and therapists showed significantly more solidarity and positive regard when PS in SCL was high.
Marci and Orr (2006)SCLWithinSPS in SCL significantly higher between interviewer and patient during neutral than during emotionally distant condition.
 PsychoSocSPatient ratings of interviewer empathy significantly higher in neutral than in emotionally distant condition.
Messina et al. (2013)SCLBetweenSSignificant differences in PS between the three groups (therapists, psychologists, and non-therapists) at Lag 0. PS in SCL with pseudo-patients was significantly higher with psychologists compared with therapists. At Lag 3, psychologists showed lower PS than therapists.
 PsychoSocSPS in SCL between pseudo-patients and therapists was significantly correlated with empathy perceived by the pseudo-patients at 3- and 4-s lags.
Järvelä, Kivikangas, Kätsyri, and Ravaja (2013)SCRGeneralSPS in SCR significantly higher than zero among team members.
 WithinNSPS in SCR not significantly different in cooperative/competitive conditions or with computer/non-computer players.
 PsychoSocNSPS in SCR not significantly related to teammates’ emotional or behavioral self-report items.
Kaplan, Burch, Bloom, and Edelberg (1963)SCRBetweenSPS in SCRs significantly more likely to occur in dyads who liked or disliked each other (as opposed to neutral rating).
Robinson, Herman, and Kaplan (1982)SCRPsychoSocSTherapist–client PS using SCR 1 (small but rapid skin conductance responses) and SCR 3 (large amplitude and short latency responses) significantly correlated with empathy.
  NSTherapist–client PS using SCR 2 (responses of fairly large amplitude and long latency) and the composite measure (SCR 1, 2, and 3) of SCR types not significantly correlated with empathy.
Note. SC = skin conductance; Moderator = tested whether a variable moderated PS; S = statistically significant; PS = physiological synchrony; General = tested for presence of PS; PsychoSoc = tested whether PS was associated with a psychosocial construct; Within = tested difference of PS across conditions within groups; NS = statistically non-significant; Between = tested for differences in PS across groups; EEG = electroencephalograph; SCL = skin conductance level; SCR = skin conductance response.
Appendix D Results by Physiological Measure: Respiration.
SourceMeasureContextFindingResults
Ferrer and Helm (2013)RespGeneralSPS observed between couples across all conditions, but substantial differences in synchrony parameters across couples.
 WithinNSCoregulation not significantly different from zero at baseline. PS parameters did not differ by gender.
  SPS parameters changed across conditions, but differed substantially across couples.
   PS increased from baseline through imitation task, indicating individuals adjusted their respiration more as a function of their partners’ breathing than their own.
 PsychoSocSFemales’ PS in respiration during imitation task related to daily affect, suggesting females’ physiology adjusted to their male partners’ in this task similar to adjustments in response to their partners’ daily affect.
Helm, Sbarra, and Ferrer (2012)RespPsychoSocNSAnxiety did not effect PS in respiration in any task. Length in the relationship not related to any cross-partner associations.
  SHigher avoidance associated with reduced PS in respiration during resting and gazing tasks, but associated with increased PS for males during imitation task. Relationship satisfaction associated with different patterns of PS in respiration across tasks and genders.
Muller and Lindenberger (2011)RespWithinSMagnitudes of PS in respiration were higher during singing than during rest. Directed positive PS where physiological changes in the conductor were followed by choir members.
Chanel, Kivikangas, and Ravaja (2012)Resp-AmpGeneralSPS in respiration amplitude significantly different from zero.
 WithinNSNo significant differences between cooperative and competitive play in respiration amplitude.
 TypologySPS positive for most participants, but negative for others.
 PsychoSocNSNo gaming experience self-report constructs significant covariates with PS in respiration amplitude.
Chanel, Kivikangas, and Ravaja (2012)HF-Resp-AmpWithinSPS in high-frequency respiration amplitude higher for competitive than for cooperative play.
 PsychoSocSPS in high-frequency respiration amplitude positively correlated with social empathy self-evaluations.
Bachrach, Fontbonne, Joufflineau, and Ulloa (2015)RRGeneralSPS found between RR of audience members and dancers during a music-free, slow-paced, live dance performance.
 PsychoSocSPS between RR of audience members and dancers was positively and significantly associated with audience members’ self-reported attention to their own and the dancers’ breathing.
  NSPS between RR of audience members and dancers was not significantly associated with audience members’ appreciation for the performance.
Codrons, Bernardi, Vandoni, and Bernardi (2014)RRWithinSPS in 10-person groups was found during a still, silent baseline, and when swinging their arms while listening to music.
  NSPS was not significant in 10-person groups when swinging their arms in silence or while listening to a metronome.
Henning, Boucsein, and Gil (2001)RRWithinSTeammates’ PS in RR a significant predictor of some performance measures.
  NSTeammates’ PS in RR not a significant predictor of team behavioral coordination.
McAssey, Helm, Hsieh, Sbarra, and Ferrer (2013)RRWithinSPS in RR significantly increased from baseline to in-sync task for all four couples, but only for one couple during the gazing task.
McFarland (2001)RRGeneralSFriends’ PS in RR differed significantly in comparison with randomly selected simulated dyads.
Chatel-Goldman, Congedo, Jutten, and Schwartz (2014)RVTGeneralNASignificance of PS between couples’ respiration volume time was not tested.
 WithinNSNo significant differences in PS of respiration volume time when couples could or could not touch each other.
 PsychoSocNSNo significant correlations found between empathy scores and PS in respiration volume time.
Note. Resp = respiration; General = tested for presence of PS; S = statistically significant; PS = physiological synchrony; Within = tested difference of PS across conditions within groups; NS = statistically non-significant; PsychoSoc = tested whether PS was associated with a psychosocial construct; Resp-Amp = respiration amplitude; Typology = tested for a specific type of PS; HF-Resp-Amp = high-frequency respiration amplitude; RR = respiration rate; RVT = respiration volume time.
Appendix E Results by Physiological Measure: Thermal Measures.
SourceMeasureContextFindingResults
Ebisch et al. (2012)TempGeneralSSignificant correlations between facial temperature of mothers and their children.
Manini et al. (2013)TempGeneralSSignificant PS in facial temperature between women and children.
 BetweenSPS in mother–child group significantly higher during experiential condition than mother–other-child group.
PS significantly higher and cross-correlation lags shorter between mothers and their own vs. other child dyads.
 WithinSSignificant differences in PS between mother–child dyads during neutral vs. experimental conditions.
  NSNo significant differences in PS across conditions in the mother–other-child group.
Shearn, Spellman, Straley, Meirick, and Stryker (1999)BlushBetweenSPS in blushing between performers and friends, but not between friends and strangers or strangers and performers.
Robinson, Herman, and Kaplan (1982)FSTPsychoSocNSPS in finger skin temperature of the counselor–client dyads not significantly correlated with empathy.
Note. Temp = facial temperature; General = tested for presence of PS; S = statistically significant; PS = physiological synchrony; Between = tested for differences in PS across groups; Within = tested difference of PS across conditions within groups; NS = statistically non-significant; FST = finger skin temperature; PsychoSoc = tested whether PS was associated with a psychosocial construct.
Appendix F Results by Physiological Measure: Indexes of Measures.
SourceMeasuresContextFindingResults
Levenson and Gottman (1983)HR; PTT; SCL; ACTaWithinSPS detected when couples discussing conflict topics.
   NSPS not detected when couples discussing neutral topics.
  PsychoSoc Couples’ PS during arguments accounted for 60% of variance in marital satisfaction.
Marci (2006)SC; HR; RR; ACTaWithinSArousal levels significantly different when commercials viewed in positive (i.e., during a highly rated show) and neutral (i.e., shown alone) contexts; both PS and arousal patterns changed when viewed during less positive context (i.e., a poorly rated show).
   NSPatterns of PS not significantly different when commercials viewed in positive (i.e., during a highly rated show) and neutral (i.e., shown alone) contexts.
Walker, Muth, Switzer, and Rosopa (2013)LVET; PEP; RSAWithinSAn index of PS significantly predicted team errors, but only accounted for a small proportion of variance in team error.
Note. HR = heart rate; PTT = pulse transmission time; SCL = skin conductance level; ACT = somatic movement; Within = tested difference of PS across conditions within groups; S = statistically significant; PS = physiological synchrony; NS = statistically non-significant; PsychoSoc = tested whether PS was associated with a psychosocial construct; SC = skin conductance; RR = respiration rate; LVET = left ventricular ejection time; PEP = pre-ejection period; RSA = respiratory sinus arrhythmia.
a
ACT is a measure of somatic movement, but was used as part of an index of physiology.

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Article first published online: February 26, 2016
Issue published: May 2017

Keywords

  1. interpersonal physiology
  2. physiological linkage
  3. physiological synchrony
  4. physiological coherence
  5. dyadic interactions
  6. social psychophysiology
  7. interpersonal processes
  8. psychophysiology
  9. autonomic
  10. autonomic nervous system

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PubMed: 26921410

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Richard V. Palumbo
Northeastern University, Boston, MA, USA
University of Rhode Island, Kingston, USA
Marisa E. Marraccini
University of Rhode Island, Kingston, USA
Lisa L. Weyandt
University of Rhode Island, Kingston, USA
Oliver Wilder-Smith
Northeastern University, Boston, MA, USA
Heather A. McGee
University of Rhode Island, Kingston, USA
Siwei Liu
University of California, Davis, USA
Matthew S. Goodwin
Northeastern University, Boston, MA, USA

Notes

Richard V. Palumbo, Northeastern University, 312 Robinson Hall, 360 Huntington Ave., Boston, MA 02115, USA. Email: [email protected]

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