Next Article in Journal
Proteomic and In Silico Analyses Highlight Complement System’s Role in Bladder Cancer Immune Regulation
Previous Article in Journal
A Low Life’s Simple 7 Score Is an Independent Risk Factor for Postoperative Delirium After Total Knee Arthroplasty
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Motor Imagery Training Improves Interoception and Satisfaction with Performance

by
Chiara Di Tella
and
Enrica L. Santarcangelo
*
Department of Translational Research and New Technologies in Medicine and Surgery (NTMS), University of Pisa, Via San Zeno, 31, 56127 Pisa, Italy
*
Author to whom correspondence should be addressed.
Medicina 2025, 61(4), 734; https://doi.org/10.3390/medicina61040734
Submission received: 10 February 2025 / Revised: 18 March 2025 / Accepted: 8 April 2025 / Published: 16 April 2025
(This article belongs to the Section Sports Medicine and Sports Traumatology)

Abstract

Background and Objectives: Sport practice, performance satisfaction, and interoception influence physical and mental health. Motor imagery (MI) training improves sensorimotor and cognitive–emotional functions. This study aimed to (a) compare sedentary and artistic gymnastics-practicing young females and (b) evaluate the changes in interoception and performance satisfaction occurring in gymnastics-practicing participants after one month of motor imagery training. Materials and Methods: The difference in interoceptive accuracy (IA) and sensibility (IS) between young sedentary females (Control group, C, n = 27) and age-matched females practicing artistic gymnastics (Experimental group, E, n = 27) were studied using the Interoceptive Accuracy Scale (IAS), the Multisensory Assessment of Interoceptive Awareness (MAIA), and Body Perception Questionnaire (BPQ). The capacity for focusing one’s attention on specific tasks (absorption) was assessed by the Tellegen Absorption Scale (TAS). Groups were compared at T0 (before motor imagery training). In group E, the same variables and satisfaction with performance were rated before and after 1 month of motor imagery training. The years of practice and absorption were used as covariates in analyses. Results: (a) Group E exhibited significantly higher scores in the MAIA dimensions than group C and similar BPQ and IAS scores; (b) group E’s satisfaction with performance, MAIA, IAS, and BPQ scores increased significantly from T0 to T1. The increase in performance satisfaction became non-significant when using years of practice as the control. The improvement in MAIA dimensions became non-significant when using TAS as the control. Conclusions: Despite the limitations as a result of the absence of an objective evaluation of the performance and physiological correlations of mental imagery and interoceptive accuracy, the baseline differences between the two groups confirm that practicing artistic gymnastics improves interoception. The experience undergone by group E of better performance after training is associated with further improvement in interoceptive intermingled pathways and shared relay stations of sensorimotor and interoceptive information. The results are relevant to the setting up of personalized mental training to improve physical and mental health.

1. Introduction

In 2019, 44% of the European population practiced physical activities at least once a week. More men (47%) than women (42%) practiced regularly, 65% were young, and 31% were old (https://ec.europa.eu/eurostat/web/main/home, accessed on 9 March 2025). Sports practice improves medical [1,2], neurological [3,4,5,6], and psychological conditions [7,8,9]. Beyond exercise, sports performance satisfaction influences the athletes’ psychological health and sports performance itself [10,11]. In contrast, sports performance dissatisfaction is associated with depression and anxiety [12].
Motor imagery (MI) training improves sports performance [13,14,15].

1.1. Motor Imagery

MI is the mental simulation of a motor action without its execution [16]. Actual and imagined movements share similar cortical correlations, except for the inhibition of the primary motor cortex by the supplementary area occurring during imagery. According to the functional equivalence theory [17], the more similar the cortical activities during actual and imagined movement [18] as well as their duration and autonomic correlations [19,20]—the more efficacious the motor imagery. MI is widely used for neurorehabilitation [21,22] and sports [13,14,22,23]. Its efficacy, however, depends on individual imagery abilities regarding the degree of functional equivalence between actual and imagined action; the preferred sensory modality of imagery, i.e., visual or kinesthetic; and the individual’s previous experience of the imagined movement [24]. Actual and imagined movements are influenced by interoception [24].

1.2. Interoception

Interoception consists of the perception of the body’s internal state [25], influences physical and mental health [26,27,28], and comprehends sensory and cognitive–emotional components [29], defined as interoceptive accuracy (IA), sensitivity (IS), and awareness (IAW).
IA indicates the ability to detect visceral signals and is measured by self-reported scales [30], behavioral tests such as heartbeat counting [31] or tapping [32], and cortical activities, i.e., the amplitude of heartbeat-evoked cortical potential (HEP) [33]. IS indicates the mode of interpretation of visceral information and is measured by self-reported questionnaires such as the Multisensory Assessment of Interoceptive Awareness (MAIA [34] and the Body Perception Questionnaire (BPQ) [35]. IAW represents the self-reported correspondence between IA and IS.
Interoception is associated with the activity and connectivity of the insula that receives all sensory information, i.e., interoceptive and exteroceptive, and is the hub for monitoring and controlling bodily states, their integration into consciousness, and emotional and social behavior [36]. The close interaction between sensorimotor and interoceptive information in the insula is exemplified by the modulation of healthy individuals’ postural control during imagined deep pain [37], the altered body schema observed in patients with modified interoception [38], and by the role of interoception in improving postural balance in multiple sclerosis [39]. Also, similar neural correlations have been observed during physical activity and interoceptive tasks [40], which indicates the reciprocal modulation of interoception and motor activity [41,42,43,44,45]. Indeed, exercise interventions improve both interoceptive sensibility and mental health [46].

1.3. Aim of the Study

Given the relation of physical activity with motor imagery [18], interoception [41,42,43,44,45], and performance satisfaction [10,11], the study investigated (a) the difference in IA and IS between young sedentary females (Control group, C) and age-matched females who have been practicing artistic gymnastics for a few years (Experimental group, E), and (b) the effects of MI training on IA, IS, and subjective satisfaction with the performance in group E. The choice of artistic gymnastic practicing participants was due to the great role that interoception can exert in these people owing to the relation between interoception and motor actions [47,48].

2. Materials and Methods

2.1. Participants

The study was approved by the Bioethical Committee of the University of Pisa (n.29/2022, 29 July 2022). All participants signed an informed consent.
G power 3.1 statistics indicated a minimum of 52 participants to obtain significant group differences at T0 and session differences in group E (p = 0.05 with d = 0.025, and 1 − β = 0.080).
Twenty-seven females who had practiced artistic gymnastics for 10.22 ± 4.89 years (mean ± sd) volunteered for the study and were included in the Experimental group (E, age: (mean ± sd), 16.85 ± 4.55 years). They used to participate in 3 sessions per week, each lasting approximately 2 h.
Twenty-seven age-matched sedentary females were enrolled in the Control group (C, age: (mean ± sd) 17 ± 4.79 years). An anamnestic interview ascertained the absence of physical and mental diseases, attention and sleep disorders, and ongoing pharmacological therapies.

2.2. Experimental Procedure

The experimental sessions (Figure 1) were conducted at Jenco Gym (Associazione Sportiva D. Macchianera, Viareggio, Italy) between September and December 2023.
At T0, the participants from both groups completed questionnaires of IS (Multidimensional Assessment of Interoceptive Awareness, MAIA [34]; Body Perception Questionnaire, BPQ [35]; IA (IAS [30], and absorption (Tellegen Absorption Scale, TAS [49]), indicating the ability to focus attention, which is relevant to the efficacy of motor imagery training.
On the same day, E group participants performed their usual sports practice and rated their satisfaction with the performance on a scale ranging from 0 (min) to 10 (max). Then, they were invited to listen to a pre-recorded audio describing their sports activity twice a day in the following month while continuing their sports activity.
At T1, after the training month, group E completed MAIA, BPQ, and IAS questionnaires again, repeated its exercise, and rated satisfaction with the performance (0–10).

2.3. Physical Activity

All analyses were performed through the Statistical Package for Social Science (SPSS. 21). After the normality assessment (Kolmogorov–Smirnov), at T0, separate univariate ANOVAs were applied to TAS and IAS, and multivariate ANOVAs were conducted on MAIA and BPQ scores. Groups C and E were the between-subjects factors. The Spearman correlation coefficient between interoception and performance satisfaction was computed in each group.
In group E, T0 and T1 were compared through repeated measure ANOVAs conducted on MAIA, BPQ, IAS, and performance satisfaction.
ANCOVA was used to assess the TAS and previous experience (years of practice), the possible relevance to the changes in interoception (MAIA, BPQ, IAS), and performance satisfaction. The Greenhouse–Geisser correction was applied for non-sphericity. The group E changes (Δ) in interoceptive sensibility, accuracy, and satisfaction with the performance were correlated.

3. Results

3.1. Group Differences at T0

Separate multivariate analyses revealed significant group differences in TAS (mean ± SD; E (21.96 ± 3.98) > C (18.60 ± 6.05), F(1,53) = 5.72, p = 0.020, η2 = 0.099, α = 0.651) and MAIA dimensions (F(1,45) = 3.800, η2 = 0.354, α = 0.928), and no significant difference in BPQ and IAS (Table 1). The significant MAIA differences consisted of group E higher scores of attention regulation (F(1,53) = 11.16, p = 0.002), self-regulation (F(1,53) = 9.63, p = 0.003), emotional awareness (F(1,53) = 6.02, p = 0.018), body listening (F(1,53) = 5.12, p = 0.028), and trusting (F(1,53) = 4.82, p = 0.033).
No significant correlation was observed between trait absorption (TAS) and IAS in either group. After Bonferroni correction, TAS and MAIA dimensions were not significantly correlated.
Only in group E did the number of practicing years positively correlate with MAIA trusting (ρ = 0.550, p = 0.003) and quasi-significantly with self-regulation (ρ = 0.374, p = 0.055), but the latter did not survive Bonferroni correction (p = 0.006).

3.2. Group E Differences Between T1 and T0 21.96+

All participants in group E completed the study. In T1, the correlation between the practicing years and MAIA trusting was no longer significant (Figure 2).
The level of satisfaction with performance (Figure 3) increased from T0 to T1 (F(1,15) = 35.53, p = 0.0001, η2 = 0.703, α = 0.999), but the difference was abolished by controlling for the number of practicing years. In T1, it was significantly correlated with MAIA emotional awareness (ρ = 0.430, p = 0.030). Controlling for the years of sports practice revealed a correlation between performance satisfaction and MAIA not worrying (ρ = 0.513, p = 0.051).
IAS scores (Figure 3) increased significantly in T1(F(1,26) = 106.07, p = 0.0001, η2 = 0. 803, α = 0.999), and the difference to T0 remained significant controlling for practicing years and TAS.
BPQBOA (Figure 3) increased from T0 to T1 (F(1,26) = 28.11, p = 0.0001, η2 = 0.520, α = 0.999). Controlling for TAS (p = 0.034) and the years of practice maintained significant. BOASUP decreased from T0 to T1 (F(1,26) = 21.40, p = 0.0001, η2 = 0.451, α = 0.991). Controlling for TAS and years of practice abolished the difference.
Separate repeated measure ANOVAs (Figure 3) revealed a significant increase from T0 to T1 in MAIA noticing (d.f. 26; F = 73.43, η2 = 0.738, α = 0.999), attention regulation (F = 68.85, p = 0.0001, η2 = 0.726, α = 0.999), emotional awareness (F = 154.85, p = 0.001, η2 = 0.364, α = 0.992), self-regulation, (F = 11.44, p = 0.002, η2 = 0.305, α = 0.902), body listening (F = 29.61, p = 0.0001, η2 = 0.552, α = 0.999), trusting (F = 13.79, p = 0.001, η2 = 0.347, α = 0.947). All differences remained unmodified when controlling for the years of practice but became non-significant when controlling for TAS.
The increase in MAIA body listening (Δ) positively correlated with the increases (Δ) in performance satisfaction (ρ = 0.391, p = 0.043). Controlling for years of practice disclosed a correlation with not worrying (ρ = 0.434, p = 0.027). Nonetheless, no correlation survived Bonferroni correction.

4. Discussion

The study provided novel information about the interoceptive differences between sedentary and artistic gymnastics-practicing healthy females and the effects of a 1-month motor imagery training in the latter group.
According to MAIA results, the study indicated that artistic gymnastics-practicing healthy young females exhibit better interoceptive sensibility than sedentary age-matched girls regarding the greater tendency to listen to and trust in the body and to modify attention and emotion according to body sensations, in line with other authors [50]. The better interoceptive sensibility of group E can be attributed to the years of practice, as physical activity enhances interoceptive sensibility [40,50], which indicates that sports practice promotes an adaptive interpretation of bodily signals. Since we did not observe group differences in BPQ dimensions, whose scales are associated with the interoceptive signals from specific body parts, we argue that BPQ information did not contribute to the MAIA-reported baseline interoceptive sensibility.
Interoceptive accuracy (IAS) did not differ between the groups, at variance with earlier reports of better interoceptive accuracy in sports-practicing individuals compared to [51] and in athletes [50] compared to controls. Inconsistent results could be attributed to the participants’ different physical levels [50].
The dissociation between interoceptive accuracy and sensibility can be accounted for by their different functional meanings [52] and has been observed in healthy individuals [53] and various clinical conditions [27].
Trait absorption did not influence interoceptive sensibility (MAIA, BPQ) and accuracy (IAS), in line with the scarce relevance of attentional abilities to interoceptive accuracy measured by heartbeats counting [40,45,54].

4.1. Differences Between T1 and T0 in Group E

Motor imagery training improved interoceptive accuracy, sensibility, and satisfaction with performance from T0 to T1. We cannot state whether the increase in performance satisfaction was due to performance improvement, as this could not be measured. Since the increase in satisfaction became non-significant only controlling for the years of practice, the imagery training did not influence it after training owing to practice-related ceiling effects.
At variance with practice, the ability to focus attention (TAS) was involved in the efficacy of motor training, as the difference between T1 and T0 in interoceptive sensibility indicated by MAIA became non-significant when controlling for TAS scores. In contrast, the increase in BPQBOA score was independent of absorption and earlier practice, suggesting the role of autonomic activity in the observed improvement in interoceptive sensibility. Of interest, motor training per se would reduce the parasympathetic activity of the upper body part (BOASUP), but absorption and earlier practice mask such an effect.
The improvement in interoceptive sensibility suggests greater ease in motor activity, as its increase has been associated with greater body confidence, attention, self-esteem, and better self-regulation [55], which could account for greater performance satisfaction.
The increase in self-reported interoceptive accuracy (IAS), independent from both earlier practice and trait absorption, accords with reports describing its increase after 2 weeks of physical training without motor imagery [51]. Thus, interoceptive accuracy seems more closely related than sensibility to actual motor activity.
The changes in the association between self-reported satisfaction and MAIA dimensions observed after training, when they were no longer correlated, suggest that the differences in satisfaction might be due to increased interoceptive sensibility enhancing the relevance of bodily signals to the construction of consciousness. This would agree with the observation that interoceptive sensibility [24]) and accuracy ([24]) are involved in the cortical correlations of motor imagery and are based on the shared elaboration of interoceptive and exteroceptive signals by the insula [36]. Their integration is highlighted by studies reporting better tactile sensibility during diastole rather than systole and a greater likelihood of voluntary actions starting during insertion rather than exhalation, as well as by the suppression of EEG differences during imagery by the influence of interoceptive sensitivity [24] and accuracy ([24]).

4.2. Limitations and Conclusions

A limitation of the study is that we could not recruit a control group performing the same sport not submitted to motor training. Other limitations are the absence of an assessment of motor imagery cortical correlations, which prevented the evaluation of its efficacy by objective methods and of objective measures of interoceptive accuracy, i.e., heartbeat counting and heartbeat-evoked cortical potentials. These variables could not be acquired in the gym. Moreover, present findings cannot be extended to the general population, as only females were enrolled in the study, and to different sports that could be influenced by motor imagery differentially.
In conclusion, the baseline differences between the two studied groups confirm earlier reports of better interoceptive sensibility in sports practicing people [46]. The comparison between pre- and post-training sessions in the artistic gymnastics-practicing group shows that previous sports experience is associated with further improvement in interoceptive accuracy and sensibility after motor imagery training, in line with the intermingled pathways and shared relay stations of sensorimotor and interoceptive information [56]. Attentional abilities likely inducing better motor imagery account for the improvement in interoceptive sensibility but not for the increased interoceptive accuracy.
The findings are relevant to medicine in the perspective of body–mind treatments applied to patients with low interoceptive sensitivity and/or accuracy—like persons with depersonalization/derealization or eating disorders, respectively [27]—that could improve their interoception by actual and imagined physical activity.

Author Contributions

Conceptualization, C.D.T. and E.L.S.; methodology, C.D.T. and E.L.S.; formal analysis, E.L.S.; data curation, C.D.T.; writing—original draft preparation, C.D.T. and E.L.S.; writing—review and editing, C.D.T. and E.L.S.; visualization, C.D.T.; supervision, E.L.S. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki and approved by the Bioethical Committee of the University of Pisa, 56127 (protocol code 29/2022, 29 July 2022).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

Data will be available upon request.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Mirkowski, K.; Vellone, E.; Żółkowska, B.; Jędrzejczyk, M.; Czapla, M.; Uchmanowicz, I.; Uchmanowicz, B. Frailty and Heart Failure: Clinical Insights, Patient Outcomes and Future Directions. Card. Fail. Rev. 2025, 11, e05. [Google Scholar] [CrossRef]
  2. Zhou, X.; Li, S.; Wang, L.; Wang, J.; Zhang, P.; Chen, X. The emerging role of exercise preconditioning in preventing skeletal muscle atrophy. Front. Physiol. 2025, 16, 1559594. [Google Scholar] [CrossRef]
  3. Lim, J.H.; Kim, B.G.; Choi, A.Y. Characteristics of exercise and rehabilitation intervention clinical trials registered with Clinical Research Information Service: A review. J. Exerc. Rehabil. 2025, 21, 3–9. [Google Scholar] [CrossRef]
  4. Palm, D.; Swarowsky, A.; Kelly, M.; Grugel, S.; Stiers, C.; Wolden, M. Effect of group exercise on quality of life for Parkinson disease: Systematic review and meta-analysis. Disabil. Rehabil. 2025, 1–13. [Google Scholar] [CrossRef]
  5. VanNostrand, M.; Henning, D.A.; Quinn, L.; Cabalang, A.; Fritz, N.E. Exploring Perceptions of Physical Activity in Individuals Newly Diagnosed with Multiple Sclerosis. J. Clin. Med. 2025, 14, 1199. [Google Scholar] [CrossRef]
  6. Jiang, Y.; Jin, Z.; Wang, H.; He, X.; Fu, R.; Yu, X.; Fu, Q.; Tian, J.; Li, W.; Zhu, X.; et al. A dose-response meta-analysis of physical activity and the risk of Alzheimer’s disease in prospective studies. J. Neurol. 2025, 272, 256. [Google Scholar] [CrossRef]
  7. Govindasamy, K.; Elayaraja, M.; Ben Abderrahman, A.; Parpa, K.; Katanic, B.; Granacher, U. The Effect of Leisure-Time Exercise on Mental Health Among Adults: A Bibliometric Analysis of Randomized Controlled Trials. Healthcare 2025, 13, 575. [Google Scholar] [CrossRef]
  8. Rivera, R.A.; Robertson, M.C.; McCleery, J.P. Exercise Interventions for Autistic People: An Integrative Review of Evidence from Clinical Trials. Curr. Psychiatry Rep. 2025. [Google Scholar] [CrossRef]
  9. Zhang, Y.; Li, G.; Zhang, S.; Zhou, Y.; Lv, Y.; Feng, L.; Yu, L. Effects of Exercise on Depression and Anxiety in Breast Cancer Survivors: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. Cancer Med. 2025, 14, e70671. [Google Scholar] [CrossRef]
  10. López de Subijana, C.; Pons, J.; Mallett, C.J. How is coaches’ social identity leadership related to mental health in elite athletes? The mediating role of satisfaction with performance. J. Sports Sci. 2024, 42, 2183–2190. [Google Scholar] [CrossRef]
  11. Willson, E.; Buono, S.; Kerr, G.; Stirling, A. The relationship between psychological abuse, athlete satisfaction, eating disorder and self-harm indicators in elite athletes. Front. Sports Act. Living 2025, 6, 1406775. [Google Scholar] [CrossRef]
  12. Tamminen, K.A.; Bonk, D.; Milne, M.J.; Watson, J.C. Emotion dysregulation, performance concerns, and mental health among Canadian athletes. Sci. Rep. 2025, 15, 2962. [Google Scholar] [CrossRef]
  13. Deng, N.; Soh, K.G.; Abdullah, B.B.; Huang, D. Does Motor Imagery Training Improve Service Performance in Tennis Players? A Systematic Review and Meta-Analysis. Behav. Sci. 2024, 14, 207. [Google Scholar] [CrossRef] [PubMed]
  14. McNeil, D.G.; Lindsay, R.S.; Worn, R.; Spittle, M.; Gabbett, T.J. Could Motor Imagery Training Provide a Novel Load Management Solution for Athletes? Recommendations for Sport Medicine and Performance Practitioners. Sports Health 2025, 17, 156–163. [Google Scholar] [CrossRef]
  15. Schneider, J.E.; Blodgett, M.; Lang, S.; Merritt, C.; Santen, S.A. Mental Practice: Applying Successful Strategies in Sports to the Practice of Emergency Medicine. Ann. Emerg. Med. 2024, 84, 159–166. [Google Scholar] [CrossRef]
  16. Jeannerod, M.; Decety, J. Mental motor imagery: A window into the representational stages of action. Curr. Opin. Neurobiol. 1995, 5, 727–732. [Google Scholar] [CrossRef] [PubMed]
  17. Decety, J. Do imagined and executed actions share the same neural substrate? Cogn. Brain Res. 1996, 3, 87–93. [Google Scholar] [CrossRef]
  18. Collet, C.; Guillot, A.; Lebon, F.; MacIntyre, T.; Moran, A. Measuring Motor Imagery Using Psychometric, Behavioral, and Psychophysiological Tools. Exerc. Sport Sci. Rev. 2011, 39, 85–92. [Google Scholar] [CrossRef]
  19. Collet, C.; Guillot, A. (Eds.) Autonomic Nervous System Activities during Imagined Movements. In The Neurophysiological Foundations of Mental and Motor Imagery; Oxford University Press: Oxford, UK, 2010; pp. 95–108. [Google Scholar]
  20. Michel, M.; Terragno, E.; Bereau, M.; Magnin, E.; Gueugneau, N.; Soares, A.V.; Sagawa, Y. Exploring motor imagery as a therapeutic intervention for Parkinson’s disease patients: A scoping review. Front. Neurol. 2024, 15, 1422672. [Google Scholar] [CrossRef]
  21. Shen, S.; Chu, T.; Wang, J.; Zhao, H.; Tang, J.; Xu, L.; Ni, W.; Tan, L.; Chen, Y. Progress in the application of motor imagery therapy in upper limb motor function rehabilitation of stroke patients with hemiplegia. Front. Neurol. 2025, 16, 1454499. [Google Scholar] [CrossRef]
  22. Abreu, A.M.; Candidi, M.; Aglioti, S.M. Catching on it early: Bodily and brain anticipatory mechanisms for excellence in sport. Prog. BrainRes. 2017, 234, 53–67. [Google Scholar] [CrossRef]
  23. Yang, Y.; Wu, C.-H.; Sun, L.; Zhang, T.-R.; Luo, J. The impact of physical activity on inhibitory control of adult ADHD: A systematic review and meta-analysis. J. Glob. Health 2025, 15, 04025. [Google Scholar] [CrossRef] [PubMed]
  24. Malloggi, E.; Zelič, Ž.; Santarcangelo, E.L. The Role of Interoceptive Sensitivity and Hypnotizability in Motor Imagery. Brain Sci. 2024, 14, 832. [Google Scholar] [CrossRef]
  25. Craig, A.D. How do you feel? Interoception: The sense of the physiological condition of the body. Nat. Rev. Neurosci. 2002, 3, 655–666. [Google Scholar] [CrossRef]
  26. Jeganathan, J.; Campbell, M.E.J.; Legrand, N.; Allen, M.; Breakspear, M. Aberrant Cardiac Interoception in Psychosis. Schizophr. Bull. 2024, 51, 208–216. [Google Scholar] [CrossRef]
  27. Khalsa, S.S.; Adolphs, R.; Cameron, O.G.; Critchley, H.D.; Davenport, P.W.; Feinstein, J.S.; Feusner, J.D.; Garfinkel, S.N.; Lane, R.D.; Mehling, W.E.; et al. Interoception and Mental Health: A Roadmap. Biol. Psychiatry Cogn. Neurosci. Neuroimaging 2018, 3, 501–513. [Google Scholar] [CrossRef]
  28. Mulder, J.; Boelens, M.; van der Velde, L.A.; Brust, M.; Kiefte-de-Jong, J.C. The role of interoception in lifestyle factors: A systematic review. Neurosci. Biobehav. Rev. 2025, 169, 106018. [Google Scholar] [CrossRef]
  29. 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. 2015, 104, 65–74. [Google Scholar] [CrossRef]
  30. Murphy, J.; Catmur, C.; Bird, G. Classifying individual differences in interoception: Implications for the measurement of interoceptive awareness. Psychon. Bull. Rev. 2019, 26, 1467–1471. [Google Scholar] [CrossRef]
  31. Schandry, R.; Sparrer, B.; Weitkunat, R. From the heart to the brain: A study of heartbeat contingent scalp potentials. Int. J. Neurosci. 1986, 30, 261–275. [Google Scholar] [CrossRef]
  32. Reed, S.D.; Harver, A.; Katkin, E.S. Interoception. In Principles of Psychophysiology: Physical, Social, and Inferential Elements; Cacioppo, J.T., Tassinary, L.G., Eds.; Cambridge University Press: Cambridge, UK, 1990. [Google Scholar]
  33. Park, H.D.; Blanke, O. Heartbeat-evoked cortical responses: Underlying mechanisms, functional roles, and methodological considerations. Neuroimage 2019, 197, 502–511. [Google Scholar] [CrossRef]
  34. Mehling, W.E.; Acree, M.; Stewart, A.; Silas, J.; Jones, A. The Multidimensional Assessment of Interoceptive Awareness, Version 2 (MAIA-2). PLoS ONE 2018, 13, e0208034. [Google Scholar] [CrossRef]
  35. Porges, S. Body Perception Questionnaire; Laboratory of Development Assessment, University of Maryland: College Park, MD, USA, 1993. [Google Scholar]
  36. Zhang, R.; Deng, H.; Xiao, X. The Insular Cortex: An Interface Between Sensation, Emotion and Cognition. Neurosci. Bull. 2024, 40, 1763–1773. [Google Scholar] [CrossRef]
  37. Manetti, R.; Manzoni, D.; Orsini, P.; Sebastiani, L.; Santarcangelo, E.L. Postural effects of interoceptive imagery as a function of hypnotizability. Physiol. Behav. 2021, 229, 113222. [Google Scholar] [CrossRef]
  38. Raimo, S.; Di Vita, A.; Boccia, M.; Iona, T.; Cropano, M.; Gaita, M.; Guariglia, C.; Grossi, D.; Palermo, L. The Body across the Lifespan: On the Relation between Interoceptive Sensibility and High-Order Body Representations. Brain Sci. 2021, 11, 493. [Google Scholar] [CrossRef]
  39. Paolucci, T.; de Sire, A.; Agostini, F.; Bernetti, A.; Salomè, A.; Altieri, M.; Di Piero, V.; Ammendolia, A.; Mangone, M.; Paoloni, M. Efficacy of interoceptive and embodied rehabilitative training protocol in patients with mild multiple sclerosis: A randomized controlled trial. Front. Neurol. 2022, 13, 1095180. [Google Scholar] [CrossRef]
  40. Wallman-Jones, A.; Palser, E.R.; Benzing, V.; Schmidt, M. Acute physical-activity related increases in interoceptive ability are not enhanced with simultaneous interoceptive attention. Sci. Rep. 2022, 12, 15054. [Google Scholar] [CrossRef]
  41. Balconi, M.; Allegretta, R.A.; Angioletti, L. Autonomic synchrony induced by hyperscanning interoception during interpersonal synchronization tasks. Front. Hum. Neurosci. 2023, 17, 1200750. [Google Scholar] [CrossRef] [PubMed]
  42. Balconi, M.; Angioletti, L. Electrophysiology of interoception: Parietal posterior area supports social synchronization. Soc. Neurosci. 2018, 18, 16–27. [Google Scholar] [CrossRef]
  43. Bečev, O.; Kozáková, E.; Sakálošová, L.; Mareček, R.; Majchrowicz, B.; Roman, R.; Brázdil, M. Actions of a shaken heart: Interoception interacts with action processing. Biol. Psychol. 2022, 169, 108288. [Google Scholar] [CrossRef] [PubMed]
  44. Heck, G.H.; Varga, S. “The great mixing machine”: Multisensory integration and brain-breath coupling in the cerebral cortex. Pflugers Arch. Eur. J. Physiol. 2022, 475, 5–11. [Google Scholar] [CrossRef] [PubMed]
  45. Murphy, J.; Brewer, R.; Plans, D.; Khalsa, S.S.; Catmur, C.; Bird, G. Testing the independence of self-reported interoceptive accuracy and attention. Q. J. Exp. Psychol. 2020, 73, 115–133. [Google Scholar] [CrossRef] [PubMed]
  46. Almarcha, M.; González, I.; Balagué, N.; Javierre, C. Prescribing or co-designing exercise in healthy adults? Effects on mental health and interoceptive awareness. Front. Behav. Neurosci. 2022, 16, 944193. [Google Scholar] [CrossRef]
  47. Nakamura, N.H.; Oku, Y.; Fukunaga, M. “Brain–breath” interactions: Respiration-timing–dependent impact on functional brain networks and beyond. Prog. Neurobiol. 2023, 35, 165–182. [Google Scholar] [CrossRef]
  48. Rivest-Gadbois, E.; Boudrias, M.-H. What are the known effects of yoga on the brain in relation to motor performances, body awareness and pain? A narrative review. Complement. Ther. Med. 2019, 44, 129–142. [Google Scholar] [CrossRef] [PubMed]
  49. Tellegen, A.; Atkinson, G. Openness to absorbing and self-altering experiences (“absorption”), a trait related to hypnotic susceptibility. J. Abnorm. Psychol. 1974, 83, 268–277. [Google Scholar] [CrossRef]
  50. Zheng, R.; Shen, H.; He, Y.; Ge, L.-K.; Zhao, D.; Zhu, S.; Cai, L.; Wang, Y.; Mehling, W.E.; Wei, G.-X. Exploring Individual Differences in Interoception Among Athletes Based on a Three-Dimensional Construct of Interoception. Psychophysiology 2025, 62, e14766. [Google Scholar] [CrossRef]
  51. Weineck, F.; Schultchen, D.; Hauke, G.; Messner, M.; Pollatos, O. Using bodily postures to reduce anxiety and improve interoception: A comparison between powerful and neutral poses. PLoS ONE 2020, 15, e0242578. [Google Scholar] [CrossRef]
  52. Critchley, H.D.; Garfinkel, S.N. Interactions between visceral afferent signaling and stimulus processing. Front. Neurosci. 2015, 9, 286. [Google Scholar] [CrossRef]
  53. Rosati, A.; Belcari, I.; Santarcangelo, E.L.; Sebastiani, L. Interoceptive Accuracy as a Function of Hypnotizability. Int. J. Clin. Exp. Hypn. 2021, 69, 441–452. [Google Scholar] [CrossRef]
  54. Yoris, A.E.; Cira, L.F.; Luque-Casado, A.; Salvotti, C.; Tajadura-Jiménez, A.; Avancini, C.; Zarza-Rebollo, J.A.; Sanabria, D.; Perakakis, P. Delving into the relationship between regular physical exercise and cardiac interoception in two cross-sectional studies. Neuropsychologia 2024, 198, 108867. [Google Scholar] [CrossRef] [PubMed]
  55. Rogowska, A.M.; Tataruch, R. The relationship between mindfulness and athletes’ mental skills may be explained by emotion regulation and self-regulation. BMC Sports Sci. Med. Rehabil. 2024, 16, 68. [Google Scholar] [CrossRef] [PubMed]
  56. Critchley, H.D.; Harrison, N.A. Visceral influences on brain and behavior. Neuron 2013, 77, 624–638. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Experimental procedure. Upper level, group C; lower level, group E.
Figure 1. Experimental procedure. Upper level, group C; lower level, group E.
Medicina 61 00734 g001
Figure 2. Correlations between practicing years and MAIA trusting score.
Figure 2. Correlations between practicing years and MAIA trusting score.
Medicina 61 00734 g002
Figure 3. Lines indicate significant differences between T0 and T1 in subjective satisfaction with performance, BPQ, IAS, and MAIA scores in group E.
Figure 3. Lines indicate significant differences between T0 and T1 in subjective satisfaction with performance, BPQ, IAS, and MAIA scores in group E.
Medicina 61 00734 g003
Table 1. Interoception and performance satisfaction at T0 and T1 (mean, standard deviation).
Table 1. Interoception and performance satisfaction at T0 and T1 (mean, standard deviation).
Group CGroup E
QuestionnaireScaleT0T0T1
MAIA meanSDmeanSDmeanSD
Noticing3.180.933. 570.824.310.56
Not distracting2.100.702.380.852.420.65
Not worrying2.461.162.430.932.380.93
Attention regulation *2.610.583.230.773.940.62
Emotional awareness *2.561.223.870.744.250.82
Self-regulation *2.571.223.420.743.790.78
Body listening *2.381.043.011.013.620.93
Trusting *2.821.273.521.073.990.81
BPQBOA15.002.8715.933.2318.302.2
SUP10.81 2.9210.672.429.481.97
BOASUP12.002.7511.782.511.851.63
IAS * 3.870.70 4.480.556.590.38
Performance satisfaction * 6.590.957.440.79
Note. * significant group differences at T0.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Di Tella, C.; Santarcangelo, E.L. Motor Imagery Training Improves Interoception and Satisfaction with Performance. Medicina 2025, 61, 734. https://doi.org/10.3390/medicina61040734

AMA Style

Di Tella C, Santarcangelo EL. Motor Imagery Training Improves Interoception and Satisfaction with Performance. Medicina. 2025; 61(4):734. https://doi.org/10.3390/medicina61040734

Chicago/Turabian Style

Di Tella, Chiara, and Enrica L. Santarcangelo. 2025. "Motor Imagery Training Improves Interoception and Satisfaction with Performance" Medicina 61, no. 4: 734. https://doi.org/10.3390/medicina61040734

APA Style

Di Tella, C., & Santarcangelo, E. L. (2025). Motor Imagery Training Improves Interoception and Satisfaction with Performance. Medicina, 61(4), 734. https://doi.org/10.3390/medicina61040734

Article Metrics

Back to TopTop