Effectiveness of Electroencephalography Neurofeedback for Improving Working Memory and Episodic Memory in the Elderly: A Meta-Analysis-Reference-Cited by-同舟云学术

Effectiveness of Electroencephalography Neurofeedback for Improving Working Memory and Episodic Memory in the Elderly: A Meta-Analysis

Published:2024-02-22 Issue:3 Volume:60 Page:369
ISSN:1648-9144
Container-title:Medicina
language:en
Short-container-title:Medicina

Author:

Lin Yu-Ru¹,Hsu Tien-Wei²³⁴^ORCID,Hsu Che-Wei⁵,Chen Peng-Yu⁶,Tseng Ping-Tao⁷⁸⁹¹⁰^ORCID,Liang Chih-Sung¹¹¹²^ORCID

Affiliation:

1. Graduate Institute of Psychology, College of Humanities and Social Science, Kaohsiung Medical University, Kaohsiung 807, Taiwan

2. Department of Psychiatry, E-DA Dachang Hospital, I-Shou University, Kaohsiung 807, Taiwan

3. Department of Psychiatry, E-DA Hospital, I-Shou University, Kaohsiung 807, Taiwan

4. Graduate Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 807, Taiwan

5. Department of Psychology, Kaohsiung Kai-Suan Psychiatric Hospital, Kaohsiung 807, Taiwan

6. Department of Psychology, Pingtung Veterans Hospital, Pingtung 900, Taiwan

7. Institute of Biomedical Sciences, National Sun Yat-sen University, Kaohsiung 807, Taiwan

8. Department of Psychology, College of Medical and Health Science, Asia University, Taichung 413, Taiwan

9. Prospect Clinic for Otorhinolaryngology & Neurology, Kaohsiung 807, Taiwan

10. Institute of Precision Medicine, National Sun Yat-sen University, Kaohsiung 807, Taiwan

11. Department of Psychiatry, Tri-Service General Hospital, Beitou Branch, Taipei 114, Taiwan

12. Department of Psychiatry, National Defense Medical Centre, Taipei 114, Taiwan

Abstract

Background and Objective: Existing evidence indicates the potential benefits of electroencephalography neurofeedback (NFB) training for cognitive function. This study aims to comprehensively review all available evidence investigating the effectiveness of NFB on working memory (WM) and episodic memory (EM) in the elderly population. Material and Methods: A systematic search was conducted across five databases to identify clinical trials examining the impact of NFB on memory function in healthy elderly individuals or those with mild cognitive impairment (MCI). The co-primary outcomes focused on changes in WM and EM. Data synthesis was performed using a random-effects meta-analysis. Results: Fourteen clinical trials (n = 284) were included in the analysis. The findings revealed that NFB was associated with improved WM (k = 11, reported as Hedges’ g = 0.665, 95% confidence [CI] = 0.473 to 0.858, p < 0.001) and EM (k = 12, 0.595, 0.333 to 0.856, p < 0.001) in the elderly, with moderate effect sizes. Subgroup analyses demonstrated that NFB had a positive impact on both WM and EM, not only in the healthy population (WM: k = 7, 0.495, 0.213 to 0.778, p = 0.001; EM: k = 6, 0.729, 0.483 to 0.976, p < 0.001) but also in those with MCI (WM: k = 6, 0.812, 0.549 to 1.074, p < 0.001; EM: k = 6, 0.503, 0.088 to 0.919, p = 0.018). Additionally, sufficient training time (totaling more than 300 min) was associated with a significant improvement in WM (k = 6, 0.743, 0.510 to 0.976, p < 0.001) and EM (k = 7, 0.516, 0.156 to 0.876, p = 0.005); however, such benefits were not observed in groups with inadequate training time. Conclusions: The results suggest that NFB is associated with enhancement of both WM and EM in both healthy and MCI elderly individuals, particularly when adequate training time (exceeding 300 min) is provided. These findings underscore the potential of NFB in dementia prevention or rehabilitation.

Publisher

MDPI AG

Link

https://www.mdpi.com/1648-9144/60/3/369/pdf

Reference36 articles.

1. Kirova, A.M., Bays, R.B., and Lagalwar, S. (2015). Working memory and executive function decline across normal aging, mild cognitive impairment, and Alzheimer’s disease. Biomed. Res. Int., 2015.

2. Annotation: Neurofeedback—Train your brain to train behaviour;Heinrich;J. Child Psychol. Psychiatry,2007

3. Closed-loop brain training: The science of neurofeedback;Sitaram;Nat. Rev. Neurosci.,2017

4. Kopčanová, M., Tait, L., Donoghue, T., Stothart, G., Smith, L., Flores-Sandoval, A.A., Davila-Perez, P., Buss, S., Shafi, M.M., and Pascual-Leone, A. (2024). Resting-state EEG signatures of Alzheimer’s disease are driven by periodic but not aperiodic changes. Neurobiol. Dis., 190.

5. Meghdadi, A.H., Karić, M.S., McConnell, M., Rupp, G., Richard, C., Hamilton, J., Salat, D., and Berka, C. (2021). Resting state EEG biomarkers of cognitive decline associated with Alzheimer’s disease and mild cognitive impairment. PLoS ONE, 16.