The beat of social cognition: Exploring the role of heart rate variability as marker of mentalizing abilities
Open accessAbstract
There is a long-standing debate on the influence of physiological signals on social behavior. Recent studies suggested that heart rate variability (HRV) may be a marker of social cognitive processes. However, this evidence is preliminary and limited to laboratory studies. In this study, 25 participants were assessed with a social cognition battery and asked to wear a wearable device measuring HRV for 6 consecutive days. The results showed that reduced HRV correlated with higher hostility attribution bias. However, no relationship was found between HRV and other social cognitive measures including facial emotion recognition, theory of mind or emotional intelligence. These results suggest that HRV may be linked to specific social cognitive processes requiring online emotional processing, in particular those related to social threat. These findings are discussed in the context of the neurovisceral integration model.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The text we found for this paper looks like another document, so the self-check wasn’t run.
Cites
(1998) · The Journal of Clinical Psychiatry · Cited by 19,139 · see citing works
Journal of Clinical Psychiatry
(2018) · Journal of Clinical Psychiatry · doi:10.5505/kpd · Cited by 13,703 · see citing works
Thayer, J. F., Åhs, F., Fredrikson, M., Sollers, J. J., & Wager, T. D. (2012) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2011.11.009 · Cited by 3,224 · see citing works
Autonomic nervous system activity in emotion: a review
Kreibig, S. D. (2010) · Biological Psychology · doi:10.1016/j.biopsycho.2010.03.010 · Cited by 3,188 · cited 1× · see citing works
“This idea is substantiated by numerous studies showing an association between HRV variables and cognitive and emotional processes (e.g. Kreibig, 2010).”
ResultKubios HRV–heart rate variability analysis software.
Tarvainen, M. P., Niskanen, J.-P., Lipponen, J. A., Ranta-aho, P. O., & Karjalainen, P. A. (2014) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2013.07.024 · Cited by 2,720 · cited 1× · see citing works
“Data was further processed with Kubios HRV after visual inspection of the inter-beat interval data (Tarvainen et al., 2014).”
MethodCorcoran, R., Mercer, G., & Frith, C. D. (1995) · Schizophrenia Research · doi:10.1016/0920-9964(95)00024-g · Cited by 1,340 · see citing works
Denny, B. T., Kober, H., Wager, T. D., & Ochsner, K. N. (2012) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00233 · Cited by 830 · see citing works
Adams, H. (2017) · American Legal Encyclopedia · Cited by 679 · see citing works
Kerr, S., & Neale, J. M. (1993) · Journal of Abnormal Psychology · doi:10.1037//0021-843x.102.2.312 · Cited by 585 · see citing works
Kerr, S. L., & Neale, J. M. (1993) · Journal of Abnormal Psychology · doi:10.1037/0021-843x.102.2.312 · Cited by 584 · see citing works
Do people behave in experiments as in the field?—evidence from donations
Benz, M., & Meier, S. (2008) · Experimental Economics · doi:10.1007/s10683-007-9192-y · Cited by 428 · see citing works
Cooper, A. J., & Petrides, K. V. (2010) · Journal of Personality Assessment · doi:10.1080/00223891.2010.497426 · Cited by 426 · see citing works
Quintana, D. S., Guastella, A. J., Outhred, T., Hickie, I. B., & Kemp, A. H. (2012) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2012.08.012 · Cited by 367 · see citing works
Neafsey, E. J. (1991) · Progress in brain research · doi:10.1016/s0079-6123(08)62679-5 · Cited by 305 · see citing works
Wager, T. D., van Ast, V. A., Hughes, B. L., Davidson, M. L., Lindquist, M. A., & Ochsner, K. N. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.05.044 · Cited by 264 · see citing works
Clamor, A., Lincoln, T. M., Thayer, J. F., & Koenig, J. (2016) · British Journal of Psychiatry · doi:10.1192/bjp.bp.114.160762 · Cited by 167 · see citing works
Buchanan, T. W., Driscoll, D., Mowrer, S. M., Sollers, J. J., Thayer, J. F., Kirschbaum, C., & Tranel, D. (2010) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2009.09.006 · Cited by 128 · see citing works
Jandackova, V. K., Britton, A. R., Malík, M., & Steptoe, A. (2016) · Psychological Medicine · doi:10.1017/s003329171600060x · Cited by 127 · see citing works
Heart rate variability during adolescent and adult social interactions: A meta-analysis
Shahrestani, S., Stewart, E. M., Quintana, D. S., Hickie, I. B., & Guastella, A. J. (2015) · Biological Psychology · doi:10.1016/j.biopsycho.2014.12.012 · Cited by 126 · see citing works
Social Cognition in Schizophrenia: From Social Stimuli Processing to Social Engagement
Billeke, P. B., & Aboitiz, F. (2013) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2013.00004 · Cited by 125 · see citing works
(1906) · BMJ · doi:10.1136/bmj.2.2383.516 · Cited by 103 · see citing works
Understanding Interpersonal Function in Psychiatric Illness Through Multiplayer Economic Games
King‐Casas, B., & Chiu, P. H. (2012) · Biological Psychiatry · doi:10.1016/j.biopsych.2012.03.033 · Cited by 94 · see citing works
Gaebler, M., Daniels, J. K., Lamke, J.-P., Fydrich, T., & Walter, H. (2013) · Biological Psychology · doi:10.1016/j.biopsycho.2013.06.009 · Cited by 86 · see citing works
Grossmann, I., Sahdra, B. K., & Ciarrochi, J. (2016) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2016.00068 · Cited by 54 · see citing works
A question of time: A study of time use in people with schizophrenia
Cella, M., Edwards, C., & Wykes, T. (2016) · Schizophrenia Research · doi:10.1016/j.schres.2016.06.033 · Cited by 52 · see citing works
Self-citationSocial cognition and social functioning in nonclinical paranoia
Combs, D. R., Finn, J. A., Wohlfahrt, W., Penn, D. L., & Basso, M. R. (2013) · Cognitive Neuropsychiatry · doi:10.1080/13546805.2013.766595 · Cited by 44 · see citing works
Jáuregui, O. I., Costanzo, E. Y., de Achával, D., Villarreal, M. F., Chu, E., Mora, M. C., Vigo, D. E., Castro, M. N., Leiguarda, R. C., Bär, K.-J., et al. (2011) · Cognitive and Behavioral Neurology · doi:10.1097/wnn.0b013e31824007e9 · Cited by 33 · cited 1× · see citing works
“Accordingly, research in the field of psychopathology showed that HRV dysregulation is present alongside social cognitive deficits in individuals with schizophrenia (Jáuregui et al., 2011).”
BackgroundLeón, I., Hernández, J. A., Rodríguez, S., & Vila, J. (2009) · Motivation and Emotion · doi:10.1007/s11031-008-9112-2 · Cited by 28 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Choi, K.-H., Kim, J., Kwon, O. S., Kim, M. J., Ryu, Y. H., & Park, J.-E. (2017) · Psychiatry Research · doi:10.1016/j.psychres.2017.02.025 · Cited by 164 · see citing works
Autonomic nervous system dysfunction in schizophrenia: impact on cognitive and metabolic health
Stogios, N., Gdanski, A., Gerretsen, P., Chintoh, A. F., Graff-Guerrero, A., Rajji, T. K., Remington, G., Hahn, M. K., & Agarwal, S. M. (2021) · npj Schizophrenia · doi:10.1038/s41537-021-00151-6 · Cited by 98 · see citing works
Using wearable technology to detect the autonomic signature of illness severity in schizophrenia
Cella, M., Okruszek, Ł., Lawrence, M., Zarlenga, V., He, Z., & Wykes, T. (2017) · Schizophrenia Research · doi:10.1016/j.schres.2017.09.028 · Cited by 84 · see citing works
Self-citationCella, M., He, Z., Killikelly, C., Okruszek, Ł., Lewis, S. W., & Wykes, T. (2019) · Early Intervention in Psychiatry · doi:10.1111/eip.12796 · Cited by 44 · see citing works
Self-citationZammuto, M. M., Ottaviani, C., Laghi, F., & Lonigro, A. (2021) · Frontiers in Physiology · doi:10.3389/fphys.2021.611609 · Cited by 21 · see citing works
Tonacci, A., Monte, J. D., Meucci, M. B., Sansone, F., Pala, A. P., Billeci, L., & Conte, R. (2019) · Electronics · doi:10.3390/electronics8121481 · Cited by 20 · see citing works
Abraham, E., Wang, Y., Svob, C., Semanek, D., Gameroff, M. J., Shankman, S. A., Weissman, M. M., Talati, A., & Posner, J. E. (2021) · Neuropsychopharmacology · doi:10.1038/s41386-021-01065-8 · Cited by 16 · see citing works
Cella, M., Sedgwick, O., Lawrence, M., Grant, N., Tsapekos, D., Harrison, L., & Wykes, T. (2022) · Psychiatry Research · doi:10.1016/j.psychres.2022.114963 · Cited by 11 · see citing works
Self-citationChrishtop, V. V., Пахрова, О. А., & Rumyantseva, T. A. (2018) · Medical news of the North Caucasus · doi:10.14300/mnnc.2018.13129 · Cited by 8 · see citing works
Park, G., Kim, H., Mermillod, M., & Thayer, J. F. (2021) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-021-00954-1 · Cited by 7 · see citing works
Exploring physiologic reactions to persuasive information
Spelt, H., Asta, L., Dijk, E. T. K., Ham, J. R. C., IJsselsteijn, W. A., & Westerink, J. H. D. M. (2022) · Psychophysiology · doi:10.1111/psyp.14001 · Cited by 4 · see citing works
Marca, R. L., Pallich, G., Holtforth, M. G., & Hochstrasser, B. (2022) · Journal of Psychophysiology · doi:10.1027/0269-8803/a000299 · Cited by 5 · see citing works
Results of recording electrophysiological signals by nanosensors during tests on volunteers
Аvdeeva, D. K., Guo, W., Nguyen, D. Q., Yuzhakov, M. M., Ivanov, I. L., Turushev, N. V., Максимов, И. В., & Вячеславовна, Б. М. (2020) · Sensor Review · doi:10.1108/sr-12-2019-0323 · Cited by 1 · see citing works
Chen, J., Liu, L., Wang, J.-S., & Chang, T.-T. (2017) · Archives of Community Medicine and Public Health · doi:10.17352/2455-5479.000018 · Cited by 1 · see citing works
Trzydzieści lat neuronauki społecznej
Malon, M., & Okruszek, Ł. (2022) · Acta Universitatis Lodziensis Folia Psychologica · doi:10.18778/1427-969x.23.01
Self-citationFrom One's Heart to the Mind of Others: A Study in School‐Aged Children
Zammuto, M. M., Ottaviani, C., Bianchi, D., Laghi, F., & Lonigro, A. (2024) · Developmental Psychobiology · doi:10.1002/dev.22516
Ammerman, B. A., Knorr, A. C., & Blacutt, M. E. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-26629-4.00099-x
Hsu, B., Hsu, Y., & Weng, C. (2026) · Applied Psychophysiology and Biofeedback · doi:10.1007/s10484-026-09788-4
- Authors
- Okruszek, Ł., Dolan, K., Lawrence, M., & Cella, M.
- Affiliations
- King's College London (GB)
- Corresponding author
- Okruszek, Łukasz
- Venue
- Social Neuroscience
- Publisher
- Informa UK Limited
- Published
- 2016-10-15
- Volume
- 12
- Issue
- 5
- Pages
- 489-493
- ISSN
- 1747-0919 (ISSN-L)
- 1747-0927
- OpenAlex
- W2528221553
- Cited by
- 18
- References
- 28
- Citations by year
- 2026: 2 · 2024: 1 · 2022: 4 · 2021: 4 · 2020: 1 · 2019: 2 · 2018: 1 · 2017: 3
- FWCI
- 1.65
- Type
- journal article
- Language
- en
- Open access
- green
- kclpure.kcl.ac.uk
- Licence
- other-oa
- Locations
- Social Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- Research Portal (King's College London) (publishedVersion, other-oa)
- Funders
- Polish National Centre of Science (UMO-2015/16/T/HS6/00336)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
- Social Sciences › Psychology › Social Psychology › Deception detection and forensic psychology
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Evolutionary Psychology and Human Behavior
- Keywords
- heart rate variability, social cognition, mentalization, facial emotion recognition, theory of mind, emotional intelligence, social danger, neurovisceral integration model, wearable heart rate monitoring
- MeSH terms
- Facial Recognition, Heart Rate Determination, Adult, Cognition, Female, Heart Rate, Humans, Male, Social Perception, Theory of Mind, Emotional Intelligence
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