The influence of interoceptive accuracy on the verbalization of emotions.

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  • Author(s): Suzuki N;Suzuki N; Yamamoto T; Yamamoto T
  • Source:
    Scientific reports [Sci Rep] 2023 Dec 13; Vol. 13 (1), pp. 22158. Date of Electronic Publication: 2023 Dec 13.
  • Publication Type:
    Journal Article
  • Language:
    English
  • Additional Information
    • Source:
      Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
    • Publication Information:
      Original Publication: London : Nature Publishing Group, copyright 2011-
    • Subject Terms:
    • Abstract:
      Interoception, which pertains to the physiological state of the body, is associated with subjective emotional experiences. In particular, the accuracy of perceiving interoceptive signals (interoceptive accuracy [IAcc]) is linked to the intensity of emotional arousal, known as arousal focus (AF). IAcc is believed to influence the granularity of emotional experiences. Here, we examined the relationship between IAcc and assessment and verbalisation of one's own or others' emotions. Study I demonstrated that individuals with higher IAcc exhibited significantly greater AF when evaluating their own positive emotions. Furthermore, although no correlation between IAcc and AF was found in free descriptions of emotions, a significant positive correlation was found between IAcc and the number of emotion-related words. Study II showed that individuals with higher IAcc displayed significantly higher AF when assessing the positive emotions of characters in videos. Additionally, in free descriptions of these characters, a significant positive correlation was observed between predicted verbal IQ and the number of emotion-related words. These findings support the notion that interoception is associated with AF during assessment of one's own or others' positive emotions as well as the abundance of emotion-related words. This study demonstrates the relationship between bodily sensations and social aspects of human embodiment.
      (© 2023. The Author(s).)
    • References:
      Sherrington, C. S. The integrative action of the nervous system. In Principles of neurology: In the light of history and their present use (ed. Sherrington, C. S.) (Yale University Press, 1906). https://doi.org/10.1037/13230-003 . (PMID: 10.1037/13230-003)
      Garfinkel, S. N., Seth, A. K., Barrett, A. B., Suzuki, K. & Critchley, H. D. Knowing your own heart: Distinguishing interoceptive accuracy from interoceptive awareness. Biol. Psychol. 104, 65–74 (2015). (PMID: 2545138110.1016/j.biopsycho.2014.11.004)
      Terasawa, Y., Shibata, M., Moriguchi, Y. & Umeda, S. Anterior insular cortex mediates bodily sensibility and social anxiety. Soc. Cogn. Affect. Neurosci. 8, 259–266 (2013). (PMID: 2297719910.1093/scan/nss108)
      Davis, J. Z. J. I. & K. N. O.,. Overlapping activity in anterior insula during interoception and emotional experience. Neuroimage 1(1), 493–499 (2012).
      Terasawa, Y., Moriguchi, Y., Tochizawa, S. & Umeda, S. Interoceptive sensitivity predicts sensitivity to the emotions of others. Cogn. Emot. 28, i (2014). (PMID: 10.1080/02699931.2014.888988)
      Yuri Terasawa, S. U. Psychological and neural mechanisms of interoception and emotions. Jpn. Psychol. Rev. 57, 49–66 (2014).
      Hoemann, K. et al. Investigating the relationship between emotional granularity and cardiorespiratory physiological activity in daily life. Psychophysiology 58, 1–18 (2021). (PMID: 10.1111/psyp.13818)
      Barrett, L. F., Quigley, K. S. & Eliza Bliss-Moreau, K. R. A. Interoceptive sensitivity and self-reports of emotional experience. L. Pers. Soc. Psychol. 23, 1–7 (2004).
      Feldman, L. A. Valence focus and arousal focus: Individual differences in the structure of affective experience. J. Personal. Soc. Psychol. 69, 153–166 (1995). (PMID: 10.1037/0022-3514.69.1.153)
      Pollatos, O., Gramann, K. & Schandry, R. Neural systems connecting interoceptive awareness and feelings. Hum. Brain Mapp. 28, 9–18 (2007). (PMID: 1672928910.1002/hbm.20258)
      Ondobaka, S., Kilner, J. & Friston, K. The role of interoceptive inference in theory of mind. Brain Cogn. 112, 64–68 (2017). (PMID: 2627563310.1016/j.bandc.2015.08.0025312780)
      Fukushima, H., Terasawa, Y. & Umeda, S. Association between interoception and empathy: Evidence from heartbeat-evoked brain potential. Int. J. Psychophysiol. 79, 259–265 (2011). (PMID: 2105542710.1016/j.ijpsycho.2010.10.015)
      Imafuku, M., Fukushima, H., Nakamura, Y., Myowa, M. & Koike, S. Interoception is associated with the impact of eye contact on spontaneous facial mimicry. Sci. Rep. 10, 1–9 (2020). (PMID: 10.1038/s41598-020-76393-8)
      Barrett, L. F. Are Emotions Natural Kinds?. Perspect. Psychol. Sci. 1, 28–58 (2006). (PMID: 2615118410.1111/j.1745-6916.2006.00003.x)
      Shimada, S., Japanese Cognitive Science Society (Eds.). Self and Others in the Brain - Cognitive Neuroscience and Philosophy of Embodiment and Sociality. Kyoritsu Syuppan (2019).
      Herbert, B. M., Herbert, C. & Pollatos, O. On the relationship between interoceptive awareness and alexithymia: Is interoceptive awareness related to emotional awareness?. J. Pers. 79, 1149–1175 (2011). (PMID: 2124130610.1111/j.1467-6494.2011.00717.x)
      Tanaka, N. Effect of personality and situation/environment on dialog: Focusing on the learner’s extraversion. J. Organ. Int. Educ. Exch. Univ. Toyama 4, 1–13 (2022).
      Oshio, A., Abe, S. & Pino, C. Development, reliability, and validity of the Japanese version of ten item personality inventory (TIPI-J). Jpn. J. Personality Psychol. 21(1), 40 (2012). (PMID: 10.2132/personality.21.40)
      Faul, F., Erdfelder, E., Lang, A. G. & Buchner, A. G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav. Res. Methods 39, 175–191 (2007). (PMID: 1769534310.3758/BF03193146)
      Erdfelder, E., Faul, F., Buchner, A. & Lang, A. G. Statistical power analyses using G*Power 3.1 Tests for correlation and regression analyses. Behav. Res. Methods 41, 1149–1160 (2009). (PMID: 1989782310.3758/BRM.41.4.1149)
      Schaefer, A., Nils, F., Philippot, P. & Sanchez, X. Assessing the effectiveness of a large database of emotion-eliciting films: A new tool for emotion researchers. Cogn. Emot. 24, 1153–1172 (2010). (PMID: 10.1080/02699930903274322)
      Fujimura, Y. et al. Psychological verification based on positive and negative affect and measurement of brain activities while watching emotional film scenes. Trans. JSME 82, 16-00156–16-00156 (2016).
      Matsuoka, K., and Kin, Y. Implementation Manual for Simplified Assessment of Intellectual Functioning: Japanese Adult Reading Test (JART). Shinkoh Igaku Shuppansha Co., Ltd. 25, 55–62 (2006).
      Nelson H, E. National adult reading test (NART): Test Manual. NFER-Nelson, Windsor.pdf. (1982).
      Fukue, T., Fukue, M. & Ishizuka, Y. Relationship between Japanese Adult Reading Test (JART) and cognitive dysfunction. Jpn. J. Gen. Hosp. Psychiatry 25, 55–62 (2013).
      Schandry, R. Heartbeat detection and emotional experience. Int. J. Psychophysiol. 11, 45–46 (1981).
      Werner, N. S., Jung, K., Duschek, S. & Schandry, R. Enhanced cardiac perception is associated with benefits in decision-making. Psychophysiology 46, 1123–1129 (2009). (PMID: 1955839910.1111/j.1469-8986.2009.00855.x)
      Komaki, G. et al. The reliability and factorial validity of the Japanese version of the 20-item Toronto Alexithymia Scale (TAS-20). Jpn. J. Psychosom. Med. 43, 245–253 (2003).
      Gosling, S. D., Rentfrow, P. J. & Swann, W. B. A very brief measure of the Big-Five personality domains. J. Res. Pers. 37, 504–528 (2003). (PMID: 10.1016/S0092-6566(03)00046-1)
      Ozaki, Y., Kobayashi, M., and Gotoh, T. Empirical sampling methods using smartphones: method introduction and practical report. Annual Report of the Human Interaction Research Center for the 21st Century 12, 21–29 (2015).
      Hofmann, W., Wisneski, D. C., Brandt, M. J. & Skitka, L. J. Morality in everyday life. Science 345(6202), 1340 (2014). (PMID: 2521462610.1126/science.1251560)
      Barrett, L. F., Gross, J., Christensen, T. C. & Benvenuto, M. Knowing what you’re feeling and knowing what to do about it: Mapping the relation between emotion differentiation and emotion regulation. Cogn. Emot. 15, 713–724 (2001). (PMID: 10.1080/02699930143000239)
      R Core Team. R: A language and environment for statistical computing. R Found. Stat. Comput. (2020).
      Arnold, K., Gosling, J., & Holmes, D. The Java programming language. Addison Wesley Prof. (2005).
      Van Rossum, G., & Drake Jr, F. L. Python reference manual. Cent. voor Wiskd. en Inform. Amsterdam (1995).
      Koichi, H. A two-step approach to quantitative content analysis : KH coder tutorial using anne of green gables (Part I). Ritsumeikan Soc. Sci. Rev. 52, 77–91 (2016).
      Koichi, H. A Two-Step Approach to Quantitative Content Analysis :KH Coder Tutorial Using Anne of Green Gables (Part II). Ritsumeikan Soc. Sci. Rev. 53, 137–147 (2017).
      Tugade, M. M., Fredrickson, B. L. & Barret, L. Psychological resilience and positive emotional granularity. J. Pers. 72, 1161–1190 (2004). (PMID: 1550928010.1111/j.1467-6494.2004.00294.x1201429)
      Hoemann, K., Barrett, L. F. & Quigley, K. S. Emotional granularity increases with intensive ambulatory assessment: Methodological and individual factors influence how much. Front. Psychol. 12, 704125 (2021). (PMID: 3439394210.3389/fpsyg.2021.7041258355493)
      Fleiss, J. L., Nee, J. C. M. & Landis, J. R. The large sample variance of kappa in the case of different sets of raters. Psychol. Bull. 86(5), 974–977 (1979). (PMID: 10.1037/0033-2909.86.5.974)
      Hsu, T. W. et al. Social media users produce more affect that supports cultural values, but are more influenced by affect that violates cultural values. J. Pers. Soc. Psychol. 121, 969–983 (2021). (PMID: 3449107710.1037/pspa0000282)
      Nakamura, A. (ed.) Emotional Expression Dictionary (Tokyodo Shuppan Co. Ltd, 1993).
      Adachi, Y., Kondo, T., Kobayashi, T., Etani, N. & Ishii, K. Emotion analysis of japanese sentences using an emotion-word dictionary. J.Visualiz. Soc. Jpn. 41(161), 21–27 (2021). (PMID: 10.3154/jvs.41.161_21)
      Kawamoto, T. et al. The General Factor of Personality(GEP), trait emotional intelligence, and problem behaviors in Japanese teens. Pers. Individ. Diff. 171, 2020 (2020).
      Aoyagi, T., Suganuma, K., Kaneko, C. & Shinbo, M. Relationships between mental health and physica/mental symptoms. Rigakuryoho Kagaku 34(3), 287–292 (2019). (PMID: 10.1589/rika.34.287)
      Khalsa, S. S. et al. Interoception and mental health: A roadmap. Biol. Psychiatry Cogn. Neurosci. Neuroimaging 3, 501–513 (2018). (PMID: 29884281)
      Saxbe, D. E., Yang, X. F., Borofsky, L. A. & Immordino-Yang, M. H. The embodiment of emotion: Language use during the feeling of social emotions predicts cortical somatosensory activity. Soc. Cogn. Affect. Neurosci. 8, 806–812 (2013). (PMID: 2279839610.1093/scan/nss075)
      Tsakiris, M., Tajadura-Jiménez, A. & Costantini, M. Just a heartbeat away from one’s body: Interoceptive sensitivity predicts malleability of body-representations. Proc. R. Soc. B Biol. Sci. 278, 2470–2476 (2011). (PMID: 10.1098/rspb.2010.2547)
      Shimada, S.2017 The possibility of Projection Science : Revisiting the rubber hand illusion and mirror neuron system. The 34th Annual Meeting of the Japanese Cognitive Science Society 137–138.
      Thériault, R., Landry, M. & Raz, A. The Rubber Hand Illusion: Top-down attention modulates embodiment. Q. J. Exp. Psychol. 75, 2129–2148 (2022). (PMID: 10.1177/17470218221078858)
      Calvo, M. G. & Nummenmaa, L. Detection of emotional faces: Salient physical features guide effective visual search. J. Exp. Psychol. Gen. 137, 471–494 (2008). (PMID: 1872971110.1037/a0012771)
      Lieberman, M. D. et al. Putting feelings into words affect labeling disrupts amygdala activity in response to affective stimuli. Psychol. Sci. 18, 421–428 (2007). (PMID: 1757628210.1111/j.1467-9280.2007.01916.x)
      Vlasenko, V. V., Rogers, E. G. & Waugh, C. E. Affect labelling increases the intensity of positive emotions. Cogn. Emot. 35(7), 1350–1364 (2021). (PMID: 3432317210.1080/02699931.2021.1959302)
      Meyerholz, L., Irzinger, J., Witthöft, M., Gerlach, A. L. & Pohl, A. Contingent biofeedback outperforms other methods to enhance the accuracy of cardiac interoception: A comparison of short interventions. J. Behav. Ther. Exp. Psychiatry 63, 12–20 (2019). (PMID: 3055775310.1016/j.jbtep.2018.12.002)
    • Publication Date:
      Date Created: 20231213 Date Completed: 20231216 Latest Revision: 20231227
    • Publication Date:
      20231227
    • Accession Number:
      PMC10719356
    • Accession Number:
      10.1038/s41598-023-49313-9
    • Accession Number:
      38092823