IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i9p5531-d807555.html
   My bibliography  Save this article

Cognitive Training with Neurofeedback Using fNIRS Improves Cognitive Function in Older Adults

Author

Listed:
  • Bianca P. Acevedo

    (Department of Psychological and Brain Sciences, University of California Santa Barbara, Santa Barbara, CA 93106, USA)

  • Novia Dattatri

    (Department of Psychological and Brain Sciences, University of California Santa Barbara, Santa Barbara, CA 93106, USA)

  • Jennifer Le

    (Department of Psychological and Brain Sciences, University of California Santa Barbara, Santa Barbara, CA 93106, USA)

  • Claire Lappinga

    (Department of Psychological and Brain Sciences, University of California Santa Barbara, Santa Barbara, CA 93106, USA)

  • Nancy L. Collins

    (Department of Psychological and Brain Sciences, University of California Santa Barbara, Santa Barbara, CA 93106, USA)

Abstract

This study examined the effects of a 4-week cognitive training program with neurofeedback (CT-NF) among 86 healthy adults (M = 66.34 years, range 54–84) randomized to either a treatment (app-based ABC games) or control (Tetris) group. Participants completed seven cognitive assessments, pre- and post-intervention, and measured their cortical brain activity using a XB-01 functional near-infrared spectroscopy (fNIRS) brain sensor, while engaging in CT-NF. The treatment (ABC) group showed significant (pre/post-intervention) improvements in memory (MEM), verbal memory (VBM), and composite cognitive function, while the control group did not. However, both groups showed significant improvements in processing speed (PS) and executive function (EF). In line with other studies, we found that strength of cortical brain activity (measured during CT-NF) was associated with both cognitive (pre and post) and game performance. In sum, our findings suggest that CT-NF and specifically ABC exercises, confer improved cognition in the domains of MEM, VBM, PS, and EF.

Suggested Citation

  • Bianca P. Acevedo & Novia Dattatri & Jennifer Le & Claire Lappinga & Nancy L. Collins, 2022. "Cognitive Training with Neurofeedback Using fNIRS Improves Cognitive Function in Older Adults," IJERPH, MDPI, vol. 19(9), pages 1-16, May.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:9:p:5531-:d:807555
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/9/5531/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/9/5531/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. J. A. Anguera & J. Boccanfuso & J. L. Rintoul & O. Al-Hashimi & F. Faraji & J. Janowich & E. Kong & Y. Larraburo & C. Rolle & E. Johnston & A. Gazzaley, 2013. "Video game training enhances cognitive control in older adults," Nature, Nature, vol. 501(7465), pages 97-101, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Stefanie Duyck & Hans Op de Beeck, 2019. "An investigation of far and near transfer in a gamified visual learning paradigm," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-23, December.
    2. Mercedes Fernandez-Rios & Nuria Martinez & Ana Moron & Soledad Corachan & Rosa Redolat, 2020. "Scientific evidence for the use of "serious games" or therapeutic games in people with Alzheimer's Disease and other dementias," Technium Social Sciences Journal, Technium Science, vol. 12(1), pages 173-184, October.
    3. Brauner, Philipp & Ziefle, Martina, 2022. "Beyond playful learning – Serious games for the human-centric digital transformation of production and a design process model," Technology in Society, Elsevier, vol. 71(C).
    4. Nobuki Watanabe, 2024. "Activation of the Frontal Pole Using Children’s Video Games: Support for Children’s Well-being," International Journal of Psychological Studies, Canadian Center of Science and Education, vol. 16(2), pages 1-53, June.
    5. Ellwardt, Lea & Van Tilburg, Theo G. & Aartsen, Marja J., 2015. "The mix matters: Complex personal networks relate to higher cognitive functioning in old age," Social Science & Medicine, Elsevier, vol. 125(C), pages 107-115.
    6. Bo Zhang & Nigel Robb, 2021. "A Comparison of the Effects of Augmented Reality N-Back Training and Traditional Two-Dimensional N-Back Training on Working Memory," SAGE Open, , vol. 11(2), pages 21582440211, May.
    7. Kazue Sawami & Himeyo Nakagawa & Tetsuro Kitamura, 2017. "Relationship Between Cognitive Function, Vascular Age and Stress," Current Research in Diabetes & Obesity Journal, Juniper Publishers Inc., vol. 4(3), pages 53-57, October.
    8. Xiaoxuan Li & Kavous Salehzadeh Niksirat & Shanshan Chen & Dongdong Weng & Sayan Sarcar & Xiangshi Ren, 2020. "The Impact of a Multitasking-Based Virtual Reality Motion Video Game on the Cognitive and Physical Abilities of Older Adults," Sustainability, MDPI, vol. 12(21), pages 1-14, November.
    9. David C. Schwebel & Peng Li & Leslie A. McClure & Joan Severson, 2016. "Evaluating a Website to Teach Children Safety with Dogs: A Randomized Controlled Trial," IJERPH, MDPI, vol. 13(12), pages 1-22, December.
    10. Colom, Roberto & García, Luis F. & Shih, Pei Chun & Abad, Francisco J., 2023. "Generational intelligence tests score changes in Spain: Are we asking the right question?," Intelligence, Elsevier, vol. 99(C).
    11. Holger Finger & Marlene Bönstrup & Bastian Cheng & Arnaud Messé & Claus Hilgetag & Götz Thomalla & Christian Gerloff & Peter König, 2016. "Modeling of Large-Scale Functional Brain Networks Based on Structural Connectivity from DTI: Comparison with EEG Derived Phase Coupling Networks and Evaluation of Alternative Methods along the Modelin," PLOS Computational Biology, Public Library of Science, vol. 12(8), pages 1-28, August.
    12. Anja Pahor & Aaron R. Seitz & Susanne M. Jaeggi, 2022. "Near transfer to an unrelated N-back task mediates the effect of N-back working memory training on matrix reasoning," Nature Human Behaviour, Nature, vol. 6(9), pages 1243-1256, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:9:p:5531-:d:807555. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.