Supporting Mindfulness Practices with Brain-Sensing Devices. Cognitive and Electrophysiological Evidences
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Mindfulness meditation is at present deemed also as form of mental training that may allow for empowering focusing, attention regulation, and executive control skills. Nonetheless, the potential of traditional mindfulness practice for improving cognitive and neural efficiency is affected by two critical requirements—intensity of exercise and perseverance to practice—which represent a known limitation of accessibility to meditation practices. It has been suggested that the impact of such limitations might be reduced thanks to the support of external devices. The present study aims at testing the efficacy of an intensive technology-mediated intervention based on mindful practices and supported by a brain-sensing device to optimize cognitive performance and neural efficiency. Forty participants took part in the study and were randomly divided in an active control and an experimental group. Both groups were involved in a structured intervention, which lasted 4 weeks and was constituted by brief daily activities. The experimental group, differently from the active control, underwent mindfulness-based practices with the support of a dedicated device. Analyses highlighted increased electrophysiological responsiveness indices at rest and frequency profiles consistent with a relaxed mindset in the experimental group. Participants in the experimental group also showed improved electrophysiological markers of attention regulation and improved cognitive performance, as measured by a complex reaction times task. Findings hint at the potential of the investigated technology-mediated mindfulness practice for enhancing cognitive performance and for inducing consistent modulations of neural efficiency markers.
KeywordsMindfulness Neurofeedback EEG Wearable device Attention Cognitive control
Authors kindly thank Alessandra Coniglio and Marina Ballerio for their support in data collection.
DC: designed and executed the study, analyzed the data, and wrote the paper. GF and IV: collaborated with the execution of the study, analyzed the data, and collaborated in the editing of the manuscript. MB: designed the study, supervised the data analyses, and critically revised the manuscript. All authors approved the final version of the manuscript for submission.
Compliance with Ethical Standards
Conflict of Interest
The authors declare that they have no conflict of interest.
All procedures performed in studies involving human participants were in accordance with the ethical standards of the Catholic University of the Sacred Heart and with the 1964 Helsinki declaration and its later amendments or comparable ethical standard.
This article does not contain any studies with animals performed by any of the authors.
Informed consent was obtained from all individual participants included in the study.
- Andresen, J. (2000). Meditation meets behavioural medicine: the story of experimental research on meditation. Journal of Consciousness Studies, 7(11–12), 17–73.Google Scholar
- Atchley, R., Klee, D., Memmott, T., Goodrich, E., Wahbeh, H., & Oken, B. (2016). Event-related potential correlates of mindfulness meditation competence. Neuroscience, 320, 83–92. https://doi.org/10.1016/j.neuroscience.2016.01.051.CrossRefPubMedPubMedCentralGoogle Scholar
- Balconi, M., Fronda, G., Venturella, I., & Crivelli, D. (2017). Conscious, pre-conscious and unconscious mechanisms in emotional behaviour. Some applications to the mindfulness approach with wearable devices. Applied Sciences, 7(12), 1280. https://doi.org/10.3390/app7121280.
- Bhayee, S., Tomaszewski, P., Lee, D. H., Moffat, G., Pino, L., Moreno, S., & Farb, N. A. S. (2016). Attentional and affective consequences of technology supported mindfulness training: a randomised, active control, efficacy trial. BMC Psychology, 4(1), 60. https://doi.org/10.1186/s40359-016-0168-6.
- Caffarra, P., Vezzadini, G., Dieci, F., Zonato, F., & Venneri, A. (2002). Una versione abbreviata del test di Stroop: dati normativi nella popolazione italiana. Nuova Rivista di Neurologia, 12(4), 111–115.Google Scholar
- Cheng, K. S., Chang, Y. F., Han, R. P. S., & Lee, P. F. (2017). Enhanced conflict monitoring via a short-duration, video-assisted deep breathing in healthy young adults: an event-related potential approach through the Go/NoGo paradigm. PeerJ, 5, e3857. https://doi.org/10.7717/peerj.3857.CrossRefPubMedPubMedCentralGoogle Scholar
- Cohen, J. (1988). Statistical power analysis for the behavioral sciences (II). Hillsdale, NJ: Lawrence Erlbaum Associates.Google Scholar
- De Tanti, A., Inzaghi, M. G., Bonelli, G., Mancuso, M., Magnani, M., & Santucci, N. (1998). Normative data of the MIDA battery for the evaluation of reaction times. Europa Medicophysica, 34(4), 211–220.Google Scholar
- Ghisi, M., Flebus, G. B., Montano, A., Sanavio, E., & Sica, C. (Eds.). (2006). Beck depression inventory—II. Firenze: Giunti OS.Google Scholar
- Hölzel, B. K., Lazar, S. W., Gard, T., Schuman-Olivier, Z., Vago, D. R., & Ott, U. (2011). How does mindfulness meditation work? Proposing mechanisms of action from a conceptual and neural perspective. Perspectives on Psychological Science, 6(6), 537–559. https://doi.org/10.1177/1745691611419671.CrossRefPubMedGoogle Scholar
- Kabat-Zinn, J. (1990). Full catastrophe living: using the wisdom of your body and mind to face stress, pain, and illness. New York: Bantam Dell.Google Scholar
- Kabat-Zinn, J. (2005). Coming to our senses: healing ourselves and the world through mindfulness. New York: Hyperion.Google Scholar
- Khoury, B., Lecomte, T., Fortin, G., Masse, M., Therien, P., Bouchard, V., … Hofmann, S. G. (2013). Mindfulness-based therapy: a comprehensive meta-analysis. Clinical Psychology Review, 33(6), 763–771. https://doi.org/10.1016/j.cpr.2013.05.005.
- Lippelt, D. P., Hommel, B., & Colzato, L. S. (2014). Focused attention, open monitoring and loving kindness meditation: effects on attention, conflict monitoring, and creativity—a review. Frontiers in Psychology, 5(1083). https://doi.org/10.3389/fpsyg.2014.01083.
- Malinowski, P., Moore, A. W., Mead, B. R., & Gruber, T. (2017). Mindful aging: the effects of regular brief mindfulness practice on electrophysiological markers of cognitive and affective processing in older adults. Mindfulness, 8(1), 78–94. https://doi.org/10.1007/s12671-015-0482-8.CrossRefPubMedGoogle Scholar
- Moore, A., Gruber, T., Derose, J., & Malinowski, P. (2012). Regular, brief mindfulness meditation practice improves electrophysiological markers of attentional control. Frontiers in Human Neuroscience, 6(February), 18. https://doi.org/10.3389/fnhum.2012.00018.CrossRefPubMedPubMedCentralGoogle Scholar
- Niedermeyer, E. (1999). The normal EEG of the waking adult. In E. Niedermeyer & F. H. Lopes da Silva (Eds.), Electroencephalography (pp. 167–192). Baltimore: Williams and Wilkins.Google Scholar
- Pedrabissi, L., & Santinello, M. (Eds.). (1989). State-trait anxiety inventory—forma Y. Firenze: Giunti OS.Google Scholar
- Quaglia, J. T., Braun, S. E., Freeman, S. P., McDaniel, M. A., & Brown, K. W. (2016a). Meta-analytic evidence for effects of mindfulness training on dimensions of self-reported dispositional mindfulness. Psychological Assessment, 28(7), 803–818. https://doi.org/10.1037/pas0000268.CrossRefPubMedGoogle Scholar
- Spinnler, H., & Tognoni, G. (1987). Standardizzazione e taratura italiana di test neuropsicologici. The Italian Journal of Neurological Sciences, Suppl, 8(6), 1–120.Google Scholar