Galvanic Skin Response Biofeedback in Child Neuropsychology: Foundations, Applications, and Reflections

Authors

  • Juan Camilo Pazos-Alfonso Sergio Arboleda University image/svg+xml Author
  • Jorge Alfredo Hernández-Flórez University of Pamplona image/svg+xml Author
  • Ana Luisa Mendoza-Barrera Sergio Arboleda University image/svg+xml Author

Keywords:

Biofeedback, Galvanic Skin Response, Neuropsychology, Emotional Regulation

Abstract

This article explores the implications of using galvanic skin response (GSR) biofeedback within the field of child neuropsychology. GSR, as a physiological indicator of autonomic nervous system activity, provides an objective measure of emotional arousal, making it a valuable tool for both clinical assessment and therapeutic intervention. The paper reviews the neurophysiological foundations of GSR and examines its clinical applications in children with conditions such as attention-deficit/hyperactivity disorder (ADHD), anxiety disorders, autism spectrum disorder (ASD), and general difficulties in emotional self-regulation. Reported benefits include improvements in self-control, reduction of anxiety and stress symptoms, enhancement of attentional processes, and increased motivation through interactive and playful therapeutic formats. However, the article also discusses methodological and ethical challenges, including variability of signals, limited generalization outside clinical settings, and the need for stronger empirical evidence. The critical reflection emphasizes that GSR biofeedback should be understood as a complementary, non-invasive, and empowering tool within integrative neuropsychological interventions, supporting children’s development of long-lasting self-regulation skills.

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Author Biographies

  • Juan Camilo Pazos-Alfonso, Sergio Arboleda University

    Master’s Degree in Digital Didactics

  • Jorge Alfredo Hernández-Flórez, University of Pamplona

    Master’s Degree in Nursing Sciences

  • Ana Luisa Mendoza-Barrera, Sergio Arboleda University

    Psychology Student, Sergio Arboleda University, Santa Marta, Colombia

References

Agbayani, C. G., Fortier, M. A., & Kain, Z. N. (2020). Non-pharmacological methods of reducing perioperative anxiety in children. BJA education, 20(12), 424–430. https://doi.org/10.1016/j.bjae.2020.08.003.

Alneyadi, M., Drissi, N., Almeqbaali, M., & Ouhbi, S. (2021). Biofeedback-based connected mental health interventions for anxiety: Systematic literature review. JMIR mHealth and uHealth, 9(4), e26038. https://doi.org/10.2196/26038.

Centers for Disease Control and Prevention (CDC) (2022). Data and Statistics on Children’s Mental Health. Retrieved 31/08/2022 from https://www.cdc.gov/childrensmentalhealth/data.html.

Dormal, V., Vermeulen, N., & Mejias, S. (2021). Is heart rate variability biofeedback useful in children and adolescents? A systematic review. Journal of Child Psychology and Psychiatry, 62(12), 1379–1390. https://doi.org/10.1111/jcpp.13463.

Klimenko, O., Hernández-Flórez, N. E., Vizcaíno-Escobar, A. E., Tamayo-Lopera, D. A., Arroyave-Jaramillo, D. L., & Londoño-Vásquez, D. A. (2025). Aporte de las funciones ejecutivas a la creatividad: una muestra de estudiantes de secundaria colombianos. Fondo Editorial IUE. https://doi.org/10.25057/9786287601802.

Kothgassner, O. D., Goreis, A., Bauda, I., Ziegenaus, A., Glenk, L. M., & Felnhofer, A. (2022). Virtual reality biofeedback interventions for treating anxiety. Wiener Klinische Wochenschrift, 134(1), 49–59. https://doi.org/10.1007/s00508-021-01991-z.

Li, S., Yao, H., Peng, R., Ma, Y., Zhang, B., Zhao, Z., Zhang, J., Chen, S., Wu, S., & Shu, L. (2025). Psychological and physiological computing based on multi-dimensional foot information. Artificial Intelligence Review, 58(5). https://doi.org/10.1007/s10462-024-11087-5.

Makaracı, Y., Makaracı, M., Zorba, E., & Lautenbach, F. (2023). A pilot study of the biofeedback training to reduce salivary cortisol level and improve mental health in highly-trained female athletes. Applied Psychophysiology and Biofeedback, 48(3), 357–367. https://doi.org/10.1007/s10484-023-09589-z.

Mathias, E. G., Pai, M. S., Guddattu, V., & Bramhagen, A. C. (2022). Non-pharmacological interventions to reduce anxiety among children undergoing surgery: A systematic review. Journal of Child Health Care. https://doi.org/10.1177/13674935211062336.

Nelson, C. A., Bhutta, Z. A., Burke Harris, N., Danese, A., & Samara, M. (2020). Adversity in childhood is linked to mental and physical health throughout life. Bmj, 371, m3048. https://doi.org/10.1136/bmj.m3048.

Ostojict, K., Sharp, N., Paget, S., Khut, G., & Morrow, A. (2022). BrightHearts: A pilot study of biofeedback assisted relaxation training for the management of chronic pain in children with cerebral palsy. Pediatric and Neonatal Pain, 4(1), 33–42. https://doi.org/10.1002/pne2.12062.

Padminee, K., Hemalatha, R., Shankar, P., Senthil, D., Jayakaran, T. G., & Kabita, S. (2022). Effectiveness of biofeedback relaxation and audio-visual distraction on dental anxiety among 7- to 12-year-old children while administering local anaesthesia: A randomized clinical trial. International Journal of Paediatric Dentistry, 32(1), 31–40. https://doi.org/10.1111/ipd.12787.

Pazos-Alfonso, J., Mendoza-Barrera, A. (2025). NFTs and Mental Health Therapy: Symbolic Tokens for Identity. 2(3), 154-160. https://nexushouseeditorial.com/index.php/nexus/article/view/38.

Siepmann, M., Weidner, K., Petrowski, K., & Siepmann, T. (2022). Heart Rate Variability: A measure of Cardiovascular Health and possible therapeutic target in Dysautonomic Mental and Neurological Disorders. Applied Psychophysiology and Biofeedback, 47(4), 273–287. https://doi.org/10.1007/s10484-022-09572-0.

Slavikova, M., Sekaninova, N., Bona, O. L., Visnovcova, Z., & Tonhajzerova, I. (2020). Biofeedback–A Promising non Pharmacological Tool of stress–related Disorders. Acta Medica Martiniana, 20(1), 1–8. https://doi.org/10.2478/acm-2020-0001.

Thabrew, H., Stasiak, K., Kumar, H., Naseem, T., Frampton, C., & Merry, S. (2021). A cognitive behavioral Therapy–, Biofeedback-, and game-based eHealth intervention to treat anxiety in children and Young People with Long-Term Physical Conditions (Starship Rescue): Co-design and Open Trial. JMIR Serious Games, 9(3), e26084. https://doi.org/10.2196/26084.

Umaç, E.H., Semerci, R. (2023). Effect of Biofeedback-Based Interventions on the Psychological Outcomes of Pediatric Populations: A Systematic Review and Meta-analysis. Appl Psychophysiol Biofeedback, 48, 299–310. https://doi.org/10.1007/s10484-023-09583-5.

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Published

2026-03-25 — Updated on 2025-12-05

How to Cite

Pazos-Alfonso, J. C., Hernández-Flórez, J. A., & Mendoza-Barrera, A. L. (2025). Galvanic Skin Response Biofeedback in Child Neuropsychology: Foundations, Applications, and Reflections. Nexus: Multidisciplinary Research Journal, 2(4), 107-118. https://nexushouseeditorial.com/index.php/nexus/article/view/56

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