The DOI matches its Crossref record; 80 of the 88 references it cites were found in a registry or an index.
Autonomic specificity of basic emotions: Evidence from pattern classification and cluster analysis
Abstract
Autonomic nervous system (ANS) specificity of emotion remains controversial in contemporary emotion research, and has received mixed support over decades of investigation. This study was designed to replicate and extend psychophysiological research, which has used multivariate pattern classification analysis (PCA) in support of ANS specificity. Forty-nine undergraduates (27 women) listened to emotion-inducing music and viewed affective films while a montage of ANS variables, including heart rate variability indices, peripheral vascular activity, systolic time intervals, and electrodermal activity, were recorded. Evidence for ANS discrimination of emotion was found via PCA with 44.6% of overall observations correctly classified into the predicted emotion conditions, using ANS variables (z=16.05, p<.001). Cluster analysis of these data indicated a lack of distinct clusters, which suggests that ANS responses to the stimuli were nomothetic and stimulus-specific rather than idiosyncratic and individual-specific. Collectively these results further confirm and extend support for the notion that basic emotions have distinct ANS signatures.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“The same is true for studies that successfully created different patterns of autonomic physiology, despite using the same stimuli and experimental method, and sampling from the same population (e.g. Stephens et al., 2010; Kragel and LaBar, 2013).”
From The theory of constructed emotion: an active inference account of interoception and categorization (2016) · cites this paper as Stephens et al., 2010
Citations
Cites
Hierarchical Grouping to Optimize an Objective Function
Ward, J. H. (1963) · Journal of the American Statistical Association · doi:10.1080/01621459.1963.10500845 · Cited by 21,341
Russell, J. A. (1980) · Journal of Personality and Social Psychology · doi:10.1037/h0077714 · Cited by 16,334
An argument for basic emotions
Ekman, P. (1992) · Cognition and Emotion · doi:10.1080/02699939208411068 · Cited by 9,646
Multivariate Data Analysis with Readings.
Rutherford, G. S. W., Hair, J. F., Anderson, R. E., & Tatham, R. L. (1988) · Journal of the Royal Statistical Society Series D (The Statistician) · doi:10.2307/2348783 · Cited by 5,841
Bagby, R. M., Parker, J. D. A., & Taylor, G. J. (1994) · Journal of Psychosomatic Research · doi:10.1016/0022-3999(94)90005-1 · Cited by 5,293
Multivariate Data Analysis with Readings.
Jolliffe, I. T., Hair, J. F., Anderson, R. E., & Tatham, R. L. (1988) · Journal of the Royal Statistical Society Series A (Statistics in Society) · doi:10.2307/2983017 · Cited by 5,106
(2001) · doi:10.1017/cbo9780511546396 · Cited by 4,482
JAMES, W. (1884) · Mind · doi:10.1093/mind/os-ix.34.188 · Cited by 3,446
The nature of emotion: Fundamental questions.
Ekman, P., & Davidson, R. J. (1994) · Oxford University Press eBooks · Cited by 2,839
The twenty-item Toronto Alexithymia scale—II. Convergent, discriminant, and concurrent validity
Bagby, R. M., Taylor, G. J., & Parker, J. D. A. (1994) · Journal of Psychosomatic Research · doi:10.1016/0022-3999(94)90006-x · Cited by 2,431
Research works printed but not linked: 5
- Kubicek, 1966, Development and evaluation of an impedance cardiograph system, Aerospace Medicine, 37, 1208
- Levenson, R.W., 1994. Human emotions: A functional view. In: Davidson R.J., Ekman P., Scherer K. (Series Eds.) and Ekman P., Davidson R.J. (Vol. Eds.), The Nature of Emotion: Fundamental Questions. Oxford, New York, pp. 123–126.
- Levenson, R.W., 1994. The search for autonomic specificty. In: Davidson R.J., Ekman P., Scherer K. (Series Eds.) and Ekman P., Davidson R.J. (Vol. Eds.), The Nature of Emotion: Fundamental Questions. Oxford, New York, pp. 252–257.
- Penderecki, K., 1961. Threnody for the Victims of Hiroshima [Recorded by Antoni Wit and The National Polish Symphony Orchestra in Katowice]. On Penderecki: Orchestral Works Vol. 1 [CD]. Naxos. (1999).
- Stephens, 2007, Empirical validation of music excerpts for investigations of emotion and emotion elicitation.
Cited by
Sorted by citations
Emotional expressions reconsidered: Challenges to inferring emotion from human facial movements
Barrett, L. F., Adolphs, R., Marsella, S., Martinez, A. M., & Pollak, S. D. (2019) · Psychological Science in the Public Interest · doi:10.1177/1529100619832930 · Cited by 1,748
The theory of constructed emotion: an active inference account of interoception and categorization
Barrett, L. F. (2016) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsw154 · Cited by 1,426
“The same is true for studies that successfully created different patterns of autonomic physiology, despite using the same stimuli and experimental method, and sampling from the same population (e.g. Stephens et al. , 2010; Kragel and LaBar, 2013).”
The theory of constructed emotion: an active inference account of interoception and categorization
Barrett, L. F. (2017) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsx060 · Cited by 1,009
“The same is true for studies that successfully created different patterns of autonomic physiology, despite using the same stimuli and experimental method, and sampling from the same population (e.g. Stephens et al., 2010; Kragel and LaBar, 2013).”
Siegel, E. H., Sands, M. K., Van den Noortgate, W., Condon, P., Chang, Y., Dy, J., Quigley, K. S., & Barrett, L. F. (2018) · Psychological Bulletin · doi:10.1037/bul0000128 · Cited by 515
A new three-dimensional model for emotions and monoamine neurotransmitters
Lövheim, H. (2011) · Medical Hypotheses · doi:10.1016/j.mehy.2011.11.016 · Cited by 396
Hovsepian, K., Al’Absi, M., Ertin, E., Kamarck, T. W., Nakajima, M., & Kumar, S. (2015) · ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) · doi:10.1145/2750858.2807526 · Cited by 357
Mapping discrete and dimensional emotions onto the brain: controversies and consensus
Hamann, S. B. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2012.07.006 · Cited by 333
Wilhelm, F. H., & Grossman, P. (2010) · Biological Psychology · doi:10.1016/j.biopsycho.2010.01.017 · Cited by 330
Psychological Construction: The Darwinian Approach to the Science of Emotion
Barrett, L. F. (2013) · Emotion Review · doi:10.1177/1754073913489753 · Cited by 341
The Conceptual Act Theory: A Précis
Barrett, L. F. (2014) · Emotion Review · doi:10.1177/1754073914534479 · Cited by 298
A survey of affective brain computer interfaces: principles, state-of-the-art, and challenges
Mühl, C., Allison, B. Z., Nijholt, A., & Chanel, G. (2014) · Brain-Computer Interfaces · doi:10.1080/2326263x.2014.912881 · Cited by 296
The Psychometrics of Mental Workload
Matthews, G., Reinerman-Jones, L., Barber, D. J., & Abich, J. (2014) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1177/0018720814539505 · Cited by 274
Feeling good: Autonomic nervous system responding in five positive emotions.
Shiota, M. N., Neufeld, S. L., Yeung, W. H., Moser, S. E., & Perea, E. F. (2011) · Emotion · doi:10.1037/a0024278 · Cited by 291
A Bayesian Model of Category-Specific Emotional Brain Responses
Wager, T. D., Kang, J., Johnson, T. D., Nichols, T. E., Satpute, A. B., & Barrett, L. F. (2015) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1004066 · Cited by 262
Plarre, K., Raij, A. B., Hossain, S. M., Ali, A. A., Nakajima, M., Al’Absi, M., Ertin, E., Kamarck, T. W., Kumar, S., Scott, M. S., et al. (2011) · ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) · Cited by 244
The neural basis of one's own conscious and unconscious emotional states
Smith, R. S., & Lane, R. D. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.08.003 · Cited by 253
Impulsive action and motivation.
Frijda, N. (2010) · Biological Psychology · doi:10.1016/j.biopsycho.2010.01.005 · Cited by 269
Lindquist, K. A., Siegel, E. H., Quigley, K. S., & Barrett, L. F. (2013) · Psychological Bulletin · doi:10.1037/a0029038 · Cited by 245
Pace-Schott, E. F., Amole, M. C., Aue, T., Balconi, M., Bylsma, L. M., Critchley, H., Demaree, H. A., Friedman, B. H., Gooding, A. E. K., Gosseries, O., et al. (2019) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2019.05.002 · Cited by 221
“specificity is supported by rich experimental work (for review, see Kreibig, 2010) and multi-measure studies using statistical classification (Christie and Friedman, 2004; Kragel and Labar, 2013; Stephens et al., 2010).”
Self-citationMultivariate neural biomarkers of emotional states are categorically distinct
Kragel, P. A., & LaBar, K. S. (2015) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsv032 · Cited by 218
Emotion schemas are embedded in the human visual system
Kragel, P. A., Reddan, M. C., LaBar, K. S., & Wager, T. D. (2019) · Science Advances · doi:10.1126/sciadv.aaw4358 · Cited by 214
Kop, W. J., Synowski, S. J., Newell, M. E., Schmidt, L. A., Waldstein, S. R., & Fox, N. A. (2010) · Biological Psychology · doi:10.1016/j.biopsycho.2010.12.003 · Cited by 186
Physiological correlates and emotional specificity of human piloerection
Benedek, M., & Kaernbach, C. (2011) · Biological Psychology · doi:10.1016/j.biopsycho.2010.12.012 · Cited by 185
Historical pitfalls and new directions in the neuroscience of emotion
Barrett, L. F., & Satpute, A. B. (2019) · Neuroscience Letters · doi:10.1016/j.neulet.2017.07.045 · Cited by 180
Feelings and the body: the Jamesian perspective on autonomic specificity of emotion
Friedman, B. H. (2010) · Biological Psychology · doi:10.1016/j.biopsycho.2009.10.006 · Cited by 178
Self-citationEffects of noise sensitivity on psychophysiological responses to building noise
Park, S. H., Lee, P. J., & Jeong, J. H. (2018) · Building and Environment · doi:10.1016/j.buildenv.2018.03.061 · Cited by 165
Novak, D., Mihelj, M., & Munih, M. (2012) · Interacting with Computers · doi:10.1016/j.intcom.2012.04.003 · Cited by 166
Céspedes-Guevara, J., & Eerola, T. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.00215 · Cited by 175
Mother and child in synchrony: Thermal facial imprints of autonomic contagion
Ebisch, S. J. H., Aureli, T., Bafunno, D., Cardone, D., Romani, G. L., & Merla, A. (2011) · Biological Psychology · doi:10.1016/j.biopsycho.2011.09.018 · Cited by 160
Comte, M., Schön, D., Coull, J. T., Reynaud, E., Khalfa, S., Belzeaux, R., Ibrahim, E. C., Guedj, E., Blin, O., Weinberger, D. R., et al. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhu185 · Cited by 142
Physiological Responses Induced by Emotion-Eliciting Films
Fernández, C., Pascual, J. C., Soler, J., Elices, M., Portella, M. J., & Fernández-Abascal, E. G. (2012) · Applied Psychophysiology and Biofeedback · doi:10.1007/s10484-012-9180-7 · Cited by 140
Kragel, P. A., & LaBar, K. S. (2013) · Emotion · doi:10.1037/a0031820 · Cited by 134
Matthews, G., de Winter, J., & Hancock, P. A. (2019) · Theoretical Issues in Ergonomics Science · doi:10.1080/1463922x.2018.1547459 · Cited by 132
Sep, M., van Osch, M., van Vliet, L. V., Smets, E., & Bensing, J. (2014) · Patient Education and Counseling · doi:10.1016/j.pec.2013.12.022 · Cited by 132
Context-aware experience sampling reveals the scale of variation in affective experience
Hoemann, K., Khan, Z., Feldman, M. J., Nielson, C., Devlin, M., Dy, J., Barrett, L. F., Wormwood, J. B., & Quigley, K. S. (2020) · Scientific Reports · doi:10.1038/s41598-020-69180-y · Cited by 124
Common and stimulus-type-specific brain representations of negative affect
Čeko, M., Kragel, P. A., Woo, C., López‐Solà, M., & Wager, T. D. (2022) · Nature Neuroscience · doi:10.1038/s41593-022-01082-w · Cited by 121
Understanding Why Consumers Don't Skip Pre-Roll Video Ads
Campbell, C., Mattison Thompson, F., Grimm, P. E., & Robson, K. (2017) · Journal of Advertising · doi:10.1080/00913367.2017.1334249 · Cited by 112
Navigating the Science of Emotion
Barrett, L. F. (2016) · Elsevier eBooks · doi:10.1016/b978-0-08-100508-8.00002-3 · Cited by 122
Models and methods of emotional concordance
Hollenstein, T., & Lanteigne, D. M. (2014) · Biological Psychology · doi:10.1016/j.biopsycho.2013.12.012 · Cited by 121
Hoemann, K., & Barrett, L. F. (2018) · Cognition & Emotion · doi:10.1080/02699931.2018.1535428 · Cited by 130
Spontaneous Brain Activity Relates to Autonomic Arousal
Fan, J., Xu, P., Van Dam, N. T., Eilam-Stock, T., Gu, X., Luo, Y.-J., & Hof, P. R. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.1172-12.2012 · Cited by 107
Detecting work-related stress with a wearable device
Han, L., Zhang, Q., Chen, X., Zhan, Q., Yang, T., & Zhao, Z. (2017) · Computers in Industry · doi:10.1016/j.compind.2017.05.004 · Cited by 113
Quigley, K. S., & Barrett, L. F. (2014) · Biological Psychology · doi:10.1016/j.biopsycho.2013.12.013 · Cited by 101
The Feeling of Action Tendencies: On the Emotional Regulation of Goal-Directed Behavior
Lowe, R. J., & Ziemke, T. (2011) · Frontiers in Psychology · doi:10.3389/fpsyg.2011.00346 · Cited by 111
From Urban Stress to Neurourbanism: How Should We Research City Well-Being?
Pykett, J., Osborne, T., & Resch, B. (2020) · Annals of the American Association of Geographers · doi:10.1080/24694452.2020.1736982 · Cited by 107
Emotional effect of cinematic VR compared with traditional 2D film
Ding, N., Zhou, W. J., & Fung, A. Y. H. (2018) · Telematics and Informatics · doi:10.1016/j.tele.2018.04.003 · Cited by 98
Emotions as discrete patterns of systemic activity
Nummenmaa, L., & Saarimäki, H. (2019) · Neuroscience Letters · doi:10.1016/j.neulet.2017.07.012 · Cited by 98
Emotion, somatovisceral afference, and autonomic regulation
Norman, G. J., Berntson, G. G., & Cacioppo, J. T. (2014) · Emotion Review · doi:10.1177/1754073913512006 · Cited by 97
Zou, H., Li, N., & Cao, L. (2017) · Journal of Computing in Civil Engineering · doi:10.1061/(asce)cp.1943-5487.0000679 · Cited by 97
Saganowski, S., Komoszyńska, J., Behnke, M., Perz, B., Kunc, D., Klich, B., Kaczmarek, L. D., & Kazienko, P. (2022) · Scientific Data · doi:10.1038/s41597-022-01262-0 · Cited by 105
Emotionotopy in the human right temporo-parietal cortex
Lettieri, G., Handjaras, G., Ricciardi, E., Leo, A., Papale, P., Betta, M., Pietrini, P., & Cecchetti, L. (2019) · Nature Communications · doi:10.1038/s41467-019-13599-z · Cited by 105
The heart of the story: Peripheral physiology during narrative exposure predicts charitable giving
Barraza, J. A., Alexander, V., Beavin, L. E., Terris, E. T., & Zak, P. J. (2015) · Biological Psychology · doi:10.1016/j.biopsycho.2015.01.008 · Cited by 90
How effective are films in inducing positive and negative emotional states? A meta-analysis
Fernández‐Aguilar, L., Bravo, B. N., Ricarte, J. J., Ros, L., & Latorre, J. M. (2019) · PLoS ONE · doi:10.1371/journal.pone.0225040 · Cited by 90
El-Sheikh, M., & Hinnant, J. B. (2011) · Development and Psychopathology · doi:10.1017/s0954579411000320 · Cited by 84
Azari, B., Westlin, C., Satpute, A. B., Hutchinson, J. B., Kragel, P. A., Hoemann, K., Khan, Z., Wormwood, J. B., Quigley, K. S., Deniz Erdogmus, B., et al. (2020) · Scientific Reports · doi:10.1038/s41598-020-77117-8 · Cited by 83
The psychophysiology of mixed emotional states
Kreibig, S. D., Samson, A. C., & Gross, J. J. (2013) · Psychophysiology · doi:10.1111/psyp.12064 · Cited by 89
Can Slow Deep Breathing Reduce Pain? An Experimental Study Exploring Mechanisms
Jafari, H., Gholamrezaei, A., Franssen, M., Oudenhove, L. V., Aziz, Q., den Bergh, O. V., Vlaeyen, J. W. S., & Diest, I. V. (2020) · Journal of Pain · doi:10.1016/j.jpain.2019.12.010 · Cited by 73
Is boredom one or many? A functional solution to the problem of heterogeneity
Elpidorou, A. (2020) · Mind & Language · doi:10.1111/mila.12282 · Cited by 68
Do ambient urban odors evoke basic emotions?
Glass, S. T., Lingg, E., & Heuberger, E. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.00340 · Cited by 64
Review and Perspectives on Human Emotion for Connected Automated Vehicles
Li, W., Li, G., Tan, R., Wang, C., Sun, Z., Li, Y., Guo, G., Cao, D., & Li, K. (2024) · Automotive Innovation · doi:10.1007/s42154-023-00270-z · Cited by 64
Autonomic nervous system activity during positive emotions: a meta-analytic review
Behnke, M., Kreibig, S. D., Kaczmarek, L. D., Assink, M., & Gross, J. J. (2022) · Emotion Review · doi:10.1177/17540739211073084 · Cited by 60
The Role of the Cerebellum in Unconscious and Conscious Processing of Emotions: A Review
Clausi, S., Iacobacci, C., Lupo, M., Olivito, G., Molinari, M., & Leggio, M. G. (2017) · Applied Sciences · doi:10.3390/app7050521 · Cited by 61
Understanding mixed emotions: paradigms and measures
Kreibig, S. D., & Gross, J. J. (2017) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2017.05.016 · Cited by 64
"Hot" cognition and dual systems: Introduction, criticisms, and ways forward
Gladwin, T. E., & Figner, B. (2014) · UvA-DARE (University of Amsterdam) · Cited by 57
The Theory of Constructed Emotion: More Than a Feeling
Barrett, L. F., Atzil, S., Bliss‐Moreau, E., Chanes, L., Gendron, M., Hoemann, K., Katsumi, Y., Kleckner, I. R., Lindquist, K. A., Quigley, K. S., et al. (2025) · Perspectives on Psychological Science · doi:10.1177/17456916251319045 · Cited by 67
The conceptual act theory: a road map
Barrett, L. F., Wilson‐Mendenhall, C. D., & Barsalou, L. W. (2014) · Cited by 54
Prediction of Cognitive States during Flight Simulation using Multimodal Psychophysiological Sensing
Harrivel, A. R., Stephens, C. L., Milletich, R. J., Heinich, C. M., Last, M. C., Napoli, N. J., Abraham, N., Prinzel, L. J., Motter, M. A., & Pope, A. (2017) · AIAA Information Systems-AIAA Infotech @ Aerospace · doi:10.2514/6.2017-1135 · Cited by 53
Self-citationHeart Rate Variability, Homeostasis, and Brain Function
Riganello, F., Garbarino, S., & Sannita, W. G. (2012) · Journal of Psychophysiology · doi:10.1027/0269-8803/a000080 · Cited by 55
Luong, T., Martin, N., Raison, A., Argelaguet, F., Diverrez, J.-M., & Lécuyer, A. (2020) · Proceedings - International Symposium on Mixed and Augmented Reality, ISMAR · doi:10.1109/ismar50242.2020.00068 · Cited by 55
Getting Bodily Feelings Into Emotional Experience in the Right Way
Deonna, J. A., & Teroni, F. (2017) · Emotion Review · doi:10.1177/1754073916639666 · Cited by 34
Árbol, J. R., Perakakis, P., Garrido, A., Mata, J. L., Fernández‐Santaella, M. C., & Vila, J. (2016) · Psychophysiology · doi:10.1111/psyp.12799 · Cited by 50
Virtual reality sickness detection: an approach based on physiological signals and machine learning
Martin, N., Mathieu, N., Pallamin, N., Ragot, M., & Diverrez, J.-M. (2020) · Proceedings - International Symposium on Mixed and Augmented Reality, ISMAR · doi:10.1109/ismar50242.2020.00065 · Cited by 50
Advancing Emotion Theory with Multivariate Pattern Classification
Kragel, P. A., & LaBar, K. S. (2014) · Emotion Review · doi:10.1177/1754073913512519 · Cited by 54
Encoding fear intensity in human sweat
de Groot, J. H. B., Kirk, P. A., & Gottfried, J. A. (2020) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2019.0271 · Cited by 45
Kuo, J. R., Neacsiu, A. D., Fitzpatrick, S., & MacDonald, D. E. (2013) · Journal of Psychopathology and Behavioral Assessment · doi:10.1007/s10862-013-9378-x · Cited by 52
Navigating the science of emotion
Barrett, L. F., & Westlin, C. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-821124-3.00002-8 · Cited by 49
Henderson, L. A., Stathis, A., James, C., Brown, R., McDonald, S., & Macefield, V. G. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.04.049 · Cited by 44
Kim, S., Zemon, V. M., Lehrer, P. M., McCraty, R., Cavallo, M. M., Raghavan, P., Ginsberg, J. P., & Foley, F. W. (2019) · Brain Injury · doi:10.1080/02699052.2019.1593506 · Cited by 42
Fernández‐Aguilar, L., Latorre, J. M., Martínez‐Rodrigo, A., Moncho-Bogani, J., Ros, L., Latorre, P., Ricarte, J. J., & Fernández‐Caballero, A. (2020) · Scientific Reports · doi:10.1038/s41598-020-71430-y · Cited by 41
Characterization of affective states by pupillary dynamics and autonomic correlates
Onorati, F., Barbieri, R., Mauri, M., Russo, V., & Mainardi, L. T. (2013) · Frontiers in Neuroengineering · doi:10.3389/fneng.2013.00009 · Cited by 40
Multiple faces elicit augmented neural activity
Puce, A., McNeely, M. E., Berrebi, M. E., Thompson, J. C., Hardee, J. E., & Brefczynski‐Lewis, J. A. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00282 · Cited by 38
A Formal Valuation Framework for Emotions and Their Control
Huys, Q. J. M., & Renz, D. (2017) · Biological Psychiatry · doi:10.1016/j.biopsych.2017.07.003 · Cited by 39
Redundancy analysis of autonomic and self-reported, responses to induced emotions
Friedman, B. H., Stephens, C. L., & Thayer, J. F. (2014) · Biological Psychology · doi:10.1016/j.biopsycho.2013.12.006 · Cited by 35
Self-citationThe Psychophysiology of Emotions
Norman, G. J., Necka, E. A., & Berntson, G. G. (2016) · Elsevier eBooks · doi:10.1016/b978-0-08-100508-8.00004-7 · Cited by 36
Heart Rate Variability as an Indicator of Nociceptive Pain in Disorders of Consciousness?
Riganello, F., Chatelle, C., Schnakers, C., & Laureys, S. (2018) · Journal of Pain and Symptom Management · doi:10.1016/j.jpainsymman.2018.09.016 · Cited by 35
Zou, Q., & Chen, S. (2020) · Journal of Computing in Civil Engineering · doi:10.1061/(asce)cp.1943-5487.0000889 · Cited by 32
The RODS Open Source Project: Removing a Barrier to Syndromic Surveillance
Espino, J. U., D, M. M. W. M., Fu-Chang, T., Su, H.-D., Olszewski Robert, T., Liu, Z., Chapman, W. W., Xiaoming, Z., Ma, L., Wei, L. Z., et al. (2004) · Studies in health technology and informatics · doi:10.3233/978-1-60750-949-3-1192 · Cited by 30
Autonomic specificity in emotion: The induction method matters
McGinley, J. J., & Friedman, B. H. (2017) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2017.06.002 · Cited by 29
Self-citationWhere is emotional feeling felt in the body? An integrative review
Davey, S., Halberstadt, J. B., & Bell, E. M. (2021) · PLoS ONE · doi:10.1371/journal.pone.0261685 · Cited by 29
Workload Is Multidimensional, Not Unitary: What Now?
Matthews, G., Reinerman-Jones, L., Wohleber, R. W., Lin, J., Mercado, J., & Abich, J. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-20816-9_5 · Cited by 27
Effects of emotions on heart rate asymmetry
Kaczmarek, L. D., Behnke, M., Enko, J., Kosakowski, M., Hughes, B. M., Piskorski, J., & Guzik, P. (2019) · Psychophysiology · doi:10.1111/psyp.13318 · Cited by 29
Nilsson, E., Bärgman, J., Aust, M. L., Matthews, G., & Svanberg, B. (2022) · Frontiers in Neuroergonomics · doi:10.3389/fnrgo.2022.787295 · Cited by 26
Dynamic autonomic nervous system states arise during emotions and manifest in basal physiology
Pasquini, L., Noohi, F., Veziris, C. R., Kosik, E. L., Holley, S. R., Lee, A. J., Brown, J. A., Roy, A. R. K., Chow, T. E., Allen, I. E., et al. (2022) · Psychophysiology · doi:10.1111/psyp.14218 · Cited by 30
Reliability of Physiological Responses Induced by Basic Emotions: A Pilot Study
Jang, E.-H., Byun, S., Park, M., & Sohn, J. (2019) · Journal of PHYSIOLOGICAL ANTHROPOLOGY · doi:10.1186/s40101-019-0209-y · Cited by 24
Emotion extraction based on multi bio-signal using back-propagation neural network
Yoo, G., Seo, S., Hong, S., & Kim, H. (2016) · Multimedia Tools and Applications · doi:10.1007/s11042-016-4213-5 · Cited by 24
Ingestible pills reveal gastric correlates of emotions
Porciello, G., Monti, A., Panasiti, M. S., & Aglioti, S. M. (2024) · eLife · doi:10.7554/elife.85567 · Cited by 26
Emotion Regulation After Traumatic Brain Injury
Aboulafia-Brakha, T., Allain, P., & Ptak, R. (2015) · Journal of Head Trauma Rehabilitation · doi:10.1097/htr.0000000000000171 · Cited by 24
Yang, X., Daches, S., George, C. J., Kiss, E., Kapornai, K., Baji, I., & Kovács, M. (2019) · Psychophysiology · doi:10.1111/psyp.13378 · Cited by 27
Music, perceived arousal, and intensity: Psychophysiological reactions to C hopin's “ T ristesse”
Mikutta, C. A., Schwab, S., Niederhauser, S., Würmle, O., Strik, W. K., & Altorfer, A. (2013) · Psychophysiology · doi:10.1111/psyp.12071 · Cited by 23
A methodology to compensate for individual differences in psychophysiological assessment
Johannes, B. W., & Gaillard, A. W. K. (2013) · Biological Psychology · doi:10.1016/j.biopsycho.2013.11.004 · Cited by 22
Metadata
- Authors
- Stephens, C. L., Christie, I. C., & Friedman, B. H.
- Affiliations
- Virginia Tech (US)
- University of Pittsburgh (US)
- Corresponding author
- Friedman, Bruce H.
- Venue
- Biological Psychology
- Publisher
- Elsevier BV
- Published
- 2010-07
- Volume
- 84
- Issue
- 3
- Pages
- 463-473
- ISSN
- 0301-0511 (ISSN-L)
- OpenAlex
- W2112273791
- Cited by
- 209
- References
- 88
- Citations by year
- 2026: 4 · 2025: 24 · 2024: 5 · 2023: 5 · 2022: 16 · 2021: 9 · 2020: 17 · 2019: 18 · 2018: 13 · 2017: 11 · 2016: 15 · 2015: 15 · 2014: 16 · 2013: 12 · 2012: 11
- FWCI
- 8.56
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Biological Psychology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
- Physical Sciences › Computer Science › Artificial Intelligence › Emotion and Mood Recognition
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- autonomic nervous system, basic emotions, emotion specificity, heart rate variability, systolic time intervals, electrodermal activity, pattern classification
- MeSH terms
- Acoustic Stimulation, Adolescent, Adult, Autonomic Nervous System, Blood Pressure, Electrocardiography, Electroencephalography, Emotions, Female, Galvanic Skin Response, Heart Rate, Humans, Male, Motion Pictures, Music, Photic Stimulation, Predictive Value of Tests, Surveys and Questionnaires, Cluster Analysis, Principal Component Analysis, Young Adult, Self Report
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review