EXPLORACIÓN DE LAS OSCILACIONES ELECTROENCEFALOGRÁFICAS DURANTE LA COHERENCIA CARDIÁCA EN INDIVIDUOS SANOS
ELECTROENCEPHALOGRAPHIC CORRELATES OF HEARTH COHERENCE IN HEALTHY INDIVIDUALS
DOI:
https://doi.org/10.51437/nj.v30i2.442Keywords:
Coherencia Cardíaca, Características del EEG, Intervenciones Terapéuticas, Estado Socioeconómico, Ansiedad, Salud Mental PreventivaAbstract
Este estudio explora las oscilaciones electroencefalográficas (EEG) durante la coherencia cardíaca en individuos sanos, con el objetivo de abordar la falta de datos empíricos en esta área. Las posibles aplicaciones para estrategias terapéuticas en la ansiedad y la depresión subrayan la importancia de comprender las características del EEG durante la coherencia cardíaca.
This study delves into the electroencephalographic (EEG) oscillations during heart coherence in healthy individuals, aiming to address the dearth of empirical data in this area. The potential applications for therapeutic strategies in anxiety and depression underscore the significance of understanding EEG characteristics during heart coherence.
Methods:
Conducted as a comprehensive, descriptive, exploratory cross-sectional study, participants underwent a multi-faceted intervention. Initially, socio-demographic characterization provided context. Psychometric testing was employed to gauge psychological parameters, while EEG signal analysis focused on key variables, encompassing frontal alpha asymmetry, absolute frontal theta power, absolute frontal beta power, absolute frontal alpha power, and absolute frontal theta power. The participants were assessed both before and after implementing heart coherence, with a special emphasis on exploring potential neurofeedback applications.
In the intervention, participants engaged in the "Coherence Coach" technique, involving controlled modulation of respiratory frequency to induce heart coherence. This technique is recognized for its efficacy in fostering emotional regulation. Neurofeedback applications aimed to modulate EEG parameters, potentially influencing emotional and mental well-being.
References
Alcaldía de Pereira. (2020). Pereira en cifras. https://www.pereira.gov.co/pereira-en-cifras
Ancillon, Lou, Mohamed Elgendi, and Carlo Menon. (2022). "Machine learning for anxiety detection using biosignals: a review." Diagnostics, 12(8), 1794.
American Psychiatric Association. (2000). Handbook of Psychiatric Measures. Washington.
Arns, M., Heinrich, H., & Strehl, U. (2014). Evaluation of neurofeedback in ADHD: the long and winding road. Biological Psychology, 95, 108–115.
Baer, L., Cukor, P., Jenike, M. A., Leahy, L., O’Laughlen, J., & Coyle, J. T. (1995). Pilot studies of telemedicine for patients with obsessive-compulsive disorder. American Journal of Psychiatry, 152(9), 1383–1385.
Balconi, M., Fronda, G., & Venturella, I. (2021). Heart Rate Coherence and EEG Oscillations in Alpha and Beta Frequency Bands. Brain Sciences, 11(2), 247.
Barlow, D. H. (2002). Anxiety and its disorders: The nature and treatment of anxiety and panic (2nd ed.). Guilford Press.
Barry, R. J., Clarke, A. R., & Johnstone, S. J. (2007). A review of electrophysiology in attention-deficit/hyperactivity disorder: II. Event-related potentials. Clinical Neurophysiology, 118(2), 240–251.
Carrobles, J. A., Costa, M., Del Ser, T., & Bartolomé, P. (1986). La práctica de la terapia de conducta. Valencia: Promolibro.
Chalmers, J. A., Heathers, J. A. J., Abbott, M. J., et al. (2016). Worry is associated with robust reductions in heart rate variability: a transdiagnostic study of anxiety psychopathology. BMC Psychology, 4(1), 32.
Choi, J., Lee, S. H., Lim, J. H., & Chung, S. K. (2011). The effects of coherence training on EEG activity in healthy individuals. Journal of Alternative and Complementary Medicine, 17(8), 711–717.
Clarke, A. R., Barry, R. J., Dupuy, F. E., McCarthy, R., Selikowitz, M., & Johnstone, S. J. (2011). Excess beta activity in the EEG of children with attention-deficit/hyperactivity disorder: A disorder of arousal? International Journal of Psychophysiology, 89(3), 314–319.
Cheng, Y.-C., Su, M.-I., Liu, C.-W., Huang, Y.-C., & Huang, W.-L. (2020). Heart rate variability in patients with anxiety disorders: A systematic review and meta-analysis. Journal of Affective Disorders, 264, 153–162. https://doi.org/10.1016/j.jad.2019.12.003
Coan, J. A., & Allen, J. J. B. (2004). Frontal EEG asymmetry as a moderator and mediator of emotion. Biological Psychology, 67(1–2), 7–49.
Cuijpers, P., Cristea, I. A., Karyotaki, E., Reijnders, M., & Huibers, M. J. H. (2016). How effective are cognitive behavior therapies for major depression and anxiety disorders? A meta-analytic update of the evidence. World Psychiatry, 15(3), 245–258.
Da Silva, A., Gonçalves, H., Badauê-Passos Jr., D., & Murillo-Rodríguez, E. (2018). Cardiac Coherence Training in Individuals with Anxiety and Depression: A Pilot Study. Frontiers in Psychology, 9, 1939.
Davidson, R. J. (1992). Anterior cerebral asymmetry and the nature of emotion. Brain and Cognition, 20(1), 125–151.
Dyrbye, L. N., Thomas, M. R., Massie, F. S., Power, D. V., Eacker, A., Harper, W., ... Shanafelt, T. D. (2014). Burnout and suicidal ideation among U.S. medical students. Annals of Internal Medicine, 160(5), 344–353.
Escolano, C., Navarro-Gil, M., Garcia-Campayo, J., Congedo, M., De Ridder, D., & Minguez, J. (2017). Changes in Heart Rate Coherence and EEG Theta Power in Non-meditators after a Single Session of Theta Training. Frontiers in Neuroscience, 11, 620.
Fava, G. A., Gatti, A., Belaise, C., Guidi, J., & Offidani, E. (2015). Withdrawal Symptoms after Selective Serotonin Reuptake Inhibitor Discontinuation: A Systematic Review. Psychotherapy and Psychosomatics, 84(2), 72–81.
Fernández-Alvarez, J., Grassi, M., Colombo, D., Botella, C., Cipresso, P., Perna, G., & Riva, G. (2022). Efficacy of bio- and neurofeedback for depression: A meta-analysis. Psychological Medicine, 52(2), 201–216.
Friston, K. (2011). Functional and effective connectivity: a review. Brain Connectivity, 1(1), 13–36.
Gevirtz, R. (2013). The Promise of Heart Rate Variability Biofeedback: Evidence-Based Applications. Biofeedback, 41(3), 110–120.
Hamilton, M. (1959). The assessment of anxiety states by rating. British Journal of Medical Psychology, 32, 50–55.
Hamilton, M. (1969). Diagnosis and rating of anxiety. In Studies of Anxiety (pp. 76–79). Brit J Psychiat Spec Pub.
Harmon-Jones, E., Gable, P. A., & Peterson, C. K. (2010). The role of asymmetric frontal cortical activity in emotion-related phenomena: A review and update. Biological Psychology, 84(3), 451–462.
Hillebrand, S., Gast, K. B., de Mutsert, R., Swenne, C. A., Jukema, J. W., Middeldorp, S., ... Dekkers, O. M. (2013). Heart rate variability and first cardiovascular event in populations without known cardiovascular disease: meta-analysis and dose-response meta-regression. Europace: European Pacing, Arrhythmias, and Cardiac Electrophysiology, 15(5), 742–749.
Hofman, D. (2021). EEG asymmetry in emotional processing: A review of evidence from brain-behavior associations and network perspectives. Frontiers in Human Neuroscience, 15, 631489.
Hofman, D., & Schutter, D. J. (2012). Asymmetrical frontal resting-state beta oscillations predict trait aggressive tendencies and behavioral inhibition. Social Cognitive and Affective Neuroscience, 7(7), 850–857.
Jaros, L., Pincus-Kalser, A., & Cohen, R. A. (2017). Heart Rate Coherence and Posttraumatic Stress Disorder in Combat Veterans. Military Medicine, 182(5), e1712–e1716.
Kirsch, I., Deacon, B. J., Huedo-Medina, T. B., Scoboria, A., Moore, T. J., & Johnson, B. T. (2008). Initial severity and antidepressant benefits: A meta-analysis of data submitted to the Food and Drug Administration. PLoS Medicine, 5(2), e45.
Klimesch, W. (1999). EEG alpha and theta oscillations reflect cognitive and memory performance: A review and analysis. Brain Research Reviews, 29(2–3), 169–195.
Klimesch, W., Doppelmayr, M., Russegger, H., Pachinger, T., & Schwaiger, J. (1998). Induced alpha band power changes in the human EEG and attention. Neuroscience Letters, 244(2), 73–76.
Klimesch, W., Sauseng, P., & Hanslmayr, S. (2007). EEG alpha oscillations: The inhibition-timing hypothesis. Brain Research Reviews, 53(1), 63–88.
Klimesch, W., Freunberger, R., Sauseng, P., & Gruber, W. (2011). A short review of slow-phase synchronization and memory: evidence for control processes in different memory systems? Brain Research, 1408, 99–107.
Krogmeier, C., Coventry, B. S., & Mousas, C. (2022). Frontal alpha asymmetry interaction with an experimental story EEG brain-computer interface. Frontiers in Human Neuroscience, 16, 883467.
Krygier, J. R., Mason, H., & Medeiros-Ward, N. (2019). Heart Rate Variability Coherence and EEG Alpha Power in Experienced Mindfulness Meditators. Mindfulness, 10(11), 2295.
Lebedeva, A., Lehrer, P., Vaschillo, E., & Oikonomou, A. (2020). Association and interaction between clinician-rated measures of depression and anxiety with heart rate variability in elderly patients with psychiatric disorders. Applied Psychophysiology and Biofeedback, 45(1), 1–11. https://doi.org/10.1007/s10484-019-09454-8
Lampert, R., Ickovics, J., Horwitz, R., & Lee, F. (2005). Depressed autonomic nervous system function in African Americans and individuals of lower social class: a potential mechanism of race- and class-related disparities in health outcomes. American Heart Journal, 150(1), 153–160.
Laptinskaya, D., Fissler, P., Küster, O. C., Wischniowski, J., Thurm, F., Elbert, T., ... Kolassa, I.-T. (2020). Global EEG coherence as a marker for cognition in older adults at risk for dementia. Psychophysiology, 57(4), e13515.
Lehrer, P., Kaur, K., Sharma, A., Shah, K., Huseby, R., Bhavsar, J., ... Zhang, Y. (2020). Heart Rate Variability Biofeedback Improves Emotional and Physical Health and Performance: A Systematic Review and Meta Analysis. Applied Psychophysiology and Biofeedback, 45(3), 109–129.
Lehrer, P. M., Gevirtz, R., & Wahbeh, H. (2020). Heart rate variability biofeedback: How does it work? Resonance, 1(1), 1–23. https://doi.org/10.1007/s41798-020-0006-4
Lefaucheur, J. P., André-Obadia, N., Antal, A., Ayache, S. S., Baeken, C., Benninger, D. H., ... Garcia-Larrea, L. (2014). Evidence-based guidelines on the therapeutic use of repetitive transcranial magnetic stimulation (rTMS). Clinical Neurophysiology, 125(11), 2150–2206.
Maier, W., Buller, R., Philipp, M., & Heuser, I. (1988). The Hamilton Anxiety Scale: reliability, validity, and sensitivity to change in anxiety and depressive disorders. Journal of Affective Disorders, 14, 61–68.
Markovska-Simoska, S., Pop-Jordanova, N., & Pop-Jordanov, J. (2018). Inter- and Intra-Hemispheric EEG Coherence Study in Adults with Neuropsychiatric Disorders. Prilozi, 39(2–3), 5–19.
McCraty, R., & Zayas, M. A. (2014). Cardiac coherence, self-regulation, autonomic stability, and psychosocial well-being. Frontiers in Psychology, 5, 258.
McCraty, R., & Childre, D. (2010). Coherence: Bridging personal, social, and global health. Alternative Therapies in Health and Medicine, 16(4), 10–24.
McCraty, R., Atkinson, M., Tomasino, D., & Bradley, R. T. (2009). The coherent heart: Heart-brain interactions, psychophysiological coherence, and the emergence of system-wide order. Integral Review, 5(2), 10–115.
Melo, M., Lopes-dos-Santos, V., Pereira, L., Basílio, R., Soares-Filho, G., & Galvão, A. (2015). Effects of heart coherence training on EEG complexity and emotional states in anxiety disorder. International Journal of Psychophysiology, 98(3), 394–401.
Micoulaud-Franchi, J. A., McGonigal, A., Lopez, R., Daudet, C., Kotwas, I., & Bartolomei, F. (2015). Electroencephalographic neurofeedback: Level of evidence in mental and brain disorders and suggestions for good clinical practice. Neurophysiologie Clinique, 45(6), 423–433.
Montagud Rubio, N. (2021). Coherencia cardiaca: qué es y cuáles son sus efectos en el cuerpo. Psicología y Mente.
van Nieuwenhuizen, B. P., de Goede, P., Tan, H. L., van den Born, B. J., & Kunst, A. (2021). ¿Existe asociación entre el nivel socioeconómico y el grado de variación diurna de la frecuencia cardíaca? International Journal of Cardiology and Cardiovascular Risk Prevention, 11, 200118. https://doi.org/10.1016/j.ijcrp.2021.200118
Nunez, P. L., & Srinivasan, R. (2006). Electric Fields of the Brain: The neurophysics of EEG (2nd ed.). Oxford University Press.
Nussbaum, A. D., & Hartley, S. (2020). Stress and coping in college students. In D. L. Segal, L. E. Weist, & J. R. Flannery (Eds.), Handbook of College Mental Health (pp. 89–104). Springer.
Pfurtscheller, G., & Neuper, C. (2006). Future prospects of ERD/ERS in the context of brain–computer interface (BCI) developments. Progress in Brain Research, 159, 433–437.
Putman, P., van Peer, J., Maimari, I., & van der Werff, S. (2010). EEG theta/beta ratio in relation to fear-modulated response inhibition, attentional control, and affective traits. Biological Psychology, 83, 73–78.
Putman, P., Verkuil, B., Arias-Garcia, E., Pantazi, I., & van Schie, C. (2014). EEG theta/beta ratio as a potential biomarker for attentional control and resilience against deleterious effects of stress on attention. Cognitive, Affective, & Behavioral Neuroscience, 14(2), 782–791.
Rodas, Gil & Pedret, Carles & Ramos-Castro, Juan & Ortís, Lluís. (2008). Variabilidad de la frecuencia cardíaca: concepto, medidas y relación con aspectos clínicos (I). Archivos de medicina del deporte: revista de la Federación Española de Medicina del Deporte y de la Confederación Iberoamericana de Medicina del Deporte, ISSN 0212-8799, No. 123, 2008, pags. 41-48. 123.
Ros T, Enriquez-Geppert S, et al. Consensus on the reporting and experimental design of clinical and cognitive-behavioural neurofeedback studies (CRED-nf checklist). Brain. 2020 Jun 1;143(6):1674-1685.
Schneider, M. G., Baker, D. B., & Popkess-Vawter, S. (2010). Stress and anxiety in medical students: A cross-sectional study at a private US university. Academic Psychiatry, 34(1), 1-6.
Shaffer, F., & Ginsberg, J. P. (2017). An overview of heart rate variability metrics and norms. Frontiers in Public Health, 5, 258.
Roest, A. M., Martens, E. J., de Jonge, P., & Denollet, J. (2010). Anxiety and risk of incident coronary heart disease: A meta-analysis. Journal of the American College of Cardiology, 56(1), 38–46. https://doi.org/10.1016/j.jacc.2010.03.034
Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. (1996). Heart rate variability: standards of measurement, physiological interpretation, and clinical use. Circulation, 93(5), 1043-1065.
Tabachnick, B. G., & Fidell, L. S. (2013). Using multivariate statistics (6th ed.). Pearson.
Thayer, J. F., Ahs F., Fredrikson M., Sollers J.J. 3rd, Wager T.D. A meta-analysis of heart rate variability and neuroimaging studies: implications for heart rate variability as a marker of stress and health. Neurosci Biobehav Rev. 2012;36(2):747–756.
Thayer, J. F., Hansen, A. L., Saus-Rose, E., & Johnsen, B. H. (2009). Heart rate variability, prefrontal neural function, and cognitive performance: the neurovisceral integration perspective on self-regulation, adaptation, and health. Annals of Behavioral Medicine, 37(2), 141-153.
Thayer, J. F., Yamamoto, S. S., & Brosschot, J. F. (2010). The relationship of autonomic imbalance, heart rate variability and cardiovascular disease risk factors. International Journal of Cardiology, 141(2), 122-131.
Veloza, Laura, Jiménez, Camilo, Quiñones, Daniel, Polanía, Felipe, Pachón-Valero, Lida C., & Rodríguez-Triviño, Claudia Y.. (2019). Variabilidad de la frecuencia cardiaca como factor predictor de las enfermedades cardiovasculares. Revista Colombiana de Cardiología, 26(4), 205-210. https://doi.org/10.1016/j.rccar.2019.01.006
Vitaliano, P. P., Maiuro, R. D., Russo, J., & Mitchell, E. S. (2012). Medical student distress: A longitudinal study. Journal of Nervous and Mental Disease, 200(2), 153-160.
Wang, Y., Zhang, Y., Liu, Y., & Liang, W. (2021). Stress Analysis Based on Simultaneous Heart Rate Variability and EEG Coherence Measurements. Sensors (Basel), 21(16), 5457.
Wilcox, R. R., & Keselman, H. J. (2003). Modern robust data analysis methods: measures of central tendency. Psychological Methods, 8(3), 254–274. https://doi.org/10.1037/1082-989X.8.3.2546de30
Zotev, V., Krueger, F., Phillips, R., Alvarez, R. P., Simmons, W. K., Bellgowan, P., & Bodurka, J. (2016). Self-regulation of amygdala activation using real-time FMRI neurofeedback. PloS one, 11(9), e0162592.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Español
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.