Abstract
Investigating awareness of internal state of the body (i.e. interoception) is a promising field in the neuroscience domain. Evidence indicated interoceptive alterations in a wide variety of conditions. However, among literature, there is a consistent lack of information regarding the psychological correlates of interoceptive awareness (IA) in healthy population.
Methods: 54 subjects performed a complete interoceptive assessment for accuracy (IAc), metacognitive awareness (IAw), and sensibility (IAs) measured through M.A.I.A questionnaire. Subjects also performed psychological assessment for depression (BDI), anxiety (BAI), state and trait anxiety (STAI), and eating disorders (EDI-3) risks. Results: IAc and IAw positively correlated across the whole sample and IAw strongly positively correlated with several MAIA subscales. Significant negative correlations were also found with state anxiety and depressive symptoms. Female subjects exhibited a different interoceptive pattern with a negative relationship between IAc and BMI, and IAw and state anxiety. Conversely, male subjects exhibited a positive relationship between IAw and BMI, and IAc and Age, while IAw showed a negative relationship with state anxiety and depression. Conclusions: Perception of internal state of the body and relative metacognitive awareness appeared only partially connected. Different interoceptive patterns between male and female subjects appeared primarily related to specific body perceptions rather than gender differences. Considering the relationship between interoception and wellbeing, knowledge regarding how interoceptive processes work could help develop tailored technological interventions that utilize interoceptive treatments and multisensory stimulation to enhance human well-been through technology.
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References
Riva, G.: The neuroscience of body memory: from the self through the space to the others. Cortex 104, 241–260 (2017)
Riva, G., et al.: Embodied medicine: mens sana in corpore virtuale sano. Front. Hum. Neurosci. 11, 120 (2017). https://doi.org/10.3389/fnhum.2017.00120
Riva, G., et al.: Positive and transformative technologies for active ageing. Stud. Health Technol. Inform. 220, 308–315 (2016)
Riva, G.: The neuroscience of body memory: from the self through the space to the others. Cortex 104, 241–260 (2018). https://doi.org/10.1016/j.cortex.2017.07.013
Critchley, H.D., Garfinkel, S.N.: Interactions between visceral afferent signaling and stimulus processing. Front. Neurosci. 9, 286 (2015). https://doi.org/10.3389/fnins.2015.00286
Watson, D.R., et al.: Computerized exposure therapy for Spider Phobia: effects of cardiac timing and interoceptive ability on subjective and behavioral outcomes. Psychosom. Med. 81, 90–99 (2018)
Craig, A.D.: Interoception: the sense of the physiological condition of the body. Curr. Opin. Neurobiol. 13(4), 500–505 (2003). https://doi.org/10.1016/s0959-4388(03)00090-4
Garfinkel, S.N., et al.: Knowing your own heart: distinguishing interoceptive accuracy from interoceptive awareness. Biol. Psychol. 104, 65–74 (2015). https://doi.org/10.1016/j.biopsycho.2014.11.004
Di Lernia, D., et al.: Pain in the body. Altered interoception in chronic pain conditions: a systematic review. Neurosci. Biobehav. Rev. 71, 328–341 (2016). https://doi.org/10.1016/j.neubiorev.2016.09.015
Pollatos, O., et al.: Differential effects of anxiety and depression on interoceptive accuracy. Depress. Anxiety 26(2), 167–173 (2009). https://doi.org/10.1002/da.20504
Dunn, B.D., et al.: Heartbeat perception in depression. Behav. Res. Ther. 45(8), 1921–1930 (2007). https://doi.org/10.1016/j.brat.2006.09.008
Pollatos, O., et al.: Reduced perception of bodily signals in anorexia nervosa. Eat. Behav. 9(4), 381–388 (2008). https://doi.org/10.1016/j.eatbeh.2008.02.001
Di Lernia, D., et al.: Feel the time. Time perception as a function of interoceptive processing. Front. Hum, Neurosci. 12(74) (2018). https://doi.org/10.3389/fnhum.2018.00074
Beck, A.T., et al.: An inventory for measuring depression. Arch. Gen. Psychiatry 4, 561–571 (1961)
Steer, R.A., et al.: Dimensions of the Beck Depression Inventory-II in clinically depressed outpatients. J. Clin. Psychol. 55(1), 117–128 (1999)
Storch, E.A., et al.: Factor structure, concurrent validity, and internal consistency of the Beck Depression Inventory-Second Edition in a sample of college students. Depress. Anxiety 19(3), 187–189 (2004). https://doi.org/10.1002/da.20002
Spielberger, C.D., et al.: Manual for the state-trait anxiety inventory (1970)
Dunn, B.D., et al.: Can you feel the beat? Interoceptive awareness is an interactive function of anxiety- and depression-specific symptom dimensions. Behav. Res. Ther. 48(11), 1133–1138 (2010). https://doi.org/10.1016/j.brat.2010.07.006
Beck, A.T., et al.: An inventory for measuring clinical anxiety: psychometric properties. J. Consult. Clin. Psychol. 56(6), 893 (1988)
Garner, D.M., et al.: Development and validation of a multidimensional eating disorder inventory for anorexia nervosa and bulimia. Int. J. Eat. Disord. 2(2), 15–34 (1983)
Eshkevari, E., et al.: Increased plasticity of the bodily self in eating disorders. Psychol. Med. 42(4), 819–828 (2012). https://doi.org/10.1017/S0033291711002091
Clausen, L., et al.: Validating the eating disorder inventory-3 (EDI-3): a comparison between 561 female eating disorders patients and 878 females from the general population. J. Psychopathol. Behav. Assess. 33(1), 101–110 (2011). https://doi.org/10.1007/s10862-010-9207-4
Schandry, R.: Heart beat perception and emotional experience. Psychophysiology 18(4), 483–488 (1981). https://doi.org/10.1111/j.1469-8986.1981.tb02486.x
Hugeng, H., Kurniawan, R.: Development of the ‘healthcor’system as a cardiac disorders symptoms detector using an expert system based on Arduino UNO”. Int. J. Technol. 7(1), 78 (2016)
Ševčík, J., et al.: System for EKG monitoring. Int. J. Adv. Res. Artif. Intell. 4(9) (2015)
Stojanović, R., et al.: Alternative approach to addressing infrastructure needs in biomedical engineering programs (case of emerging economies). Folia Medica Facultatis Medicinae Universitatis Saraeviensis 50(1) (2015)
Villarrubia, G., et al.: EKG mobile. Adv. Sci. Technol. Lett. 49, 95–100 (2014)
Villarrubia, G., De Paz, Juan F., Corchado, Juan M., Bajo, J.: EKG intelligent mobile system for home users. In: Bazzan, Ana L.C., Pichara, K. (eds.) IBERAMIA 2014. LNCS (LNAI), vol. 8864, pp. 767–778. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-12027-0_62
Mehling, W.E., et al.: The multidimensional assessment of interoceptive awareness (MAIA). PLoS ONE 7(11), e48230 (2012). https://doi.org/10.1371/journal.pone.0048230
Di Lernia, D., et al.: Toward an embodied medicine: a portable device with programmable interoceptive stimulation for heart rate variability enhancement. Sensors 18(8) (2018). https://doi.org/10.3390/s18082469
Di Lernia, D., Riva, G., Cipresso, P.: iStim. A new portable device for interoceptive stimulation. In: Cipresso, P., Serino, S., Ostrovsky, Y., Baker, Justin T. (eds.) MindCare 2018. LNICST, vol. 253, pp. 42–49. Springer, Cham (2018). https://doi.org/10.1007/978-3-030-01093-5_6
Di Lernia, D., et al.: Interoceptive axes dissociation in anorexia nervosa: a single case study with follow up post-recovery assessment. Front. Psychol. 9(2488) (2019). https://doi.org/10.3389/fpsyg.2018.02488
Crucianelli, L., et al.: Bodily pleasure matters: velocity of touch modulates body ownership during the rubber hand illusion. Front. Psychol. 4, 703 (2013). https://doi.org/10.3389/fpsyg.2013.00703
Serino, S., et al.: The role of age on multisensory bodily experience: an experimental study with a virtual reality full-body illusion. Cyberpsychol. Behav. Soc. Netw. 21(5), 304–310 (2018). https://doi.org/10.1089/cyber.2017.0674
Zanier, E.R., et al.: Virtual reality for traumatic brain injury. Front. Neurol. 9(345) (2018). https://doi.org/10.3389/fneur.2018.00345
Castelnuovo, G., et al.: What is the role of the placebo effect for pain relief in neurorehabilitation? Clinical implications from the Italian Consensus Conference on pain in neurorehabilitation. Front. Neurol. 9, 310 (2018)
Di Lernia, D., et al.: Ghosts in the machine. Interoceptive modeling for chronic pain treatment. Front. Neurosci. 10, 314 (2016). https://doi.org/10.3389/fnins.2016.00314
Acknowledgments
GR was funded by the MIUR PRIN research project ‘‘Unlocking the memory of the body: Virtual Reality in Anorexia Nervosa’’ (201597WTTM).
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Di Lernia, D., Serino, S., Riva, G. (2019). Psychological Correlates of Interoceptive Perception in Healthy Population. In: Cipresso, P., Serino, S., Villani, D. (eds) Pervasive Computing Paradigms for Mental Health. MindCare 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 288. Springer, Cham. https://doi.org/10.1007/978-3-030-25872-6_6
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