Exploring neurofeedback as a therapeutic intervention for subjective cognitive decline DOI Creative Commons
Véronique Paban,

Lewis Feraud,

Arnaud Weills

и другие.

European Journal of Neuroscience, Год журнала: 2024, Номер 60(12), С. 7164 - 7182

Опубликована: Ноя. 26, 2024

Abstract Impact statement This study addresses the pressing issue of subjective cognitive decline in aging populations by investigating neurofeedback (NFB) as a potential early therapeutic intervention. By evaluating efficacy individualised NFB training compared to standard protocols, tailored each participant's EEG profile, it provides novel insights into personalised treatment approaches. The incorporation innovative elements and rigorous analytical techniques contributes advancing our understanding NFB's modulatory effects on frequencies function individuals. In context an population, concerns surrounding memory become increasingly prevalent, particularly individuals transition middle age beyond. investigated intervention address (SCD) populations. NFB, biofeedback technique utilising brain‐computer interface, has demonstrated promise various neurological psychological conditions. Here, we evaluated training, protocol aimed at increasing peak alpha frequency power, enhancing among experiencing SCD. Our incorporated elements, including implementation criterion for learning success ensure consistent achievement levels conclusion sessions. Additionally, introduced non‐learner group account who do not demonstrate expected proficiency regulation. Analysis electroencephalographic (EEG) signals during sessions, well before after frequencies. Contrary expectations, analysis revealed that ability with SCD modulate signal power duration specific was exclusive intended target. Furthermore, examination recorded using high‐density showed no discernible alteration between pre‐ post‐NFB Similarly, significant were observed questionnaire scores when comparing assessments.

Язык: Английский

Comparative effectiveness of electroencephalogram-neurofeedback training of 3–45 frequency band on memory in healthy population: a network meta-analysis with systematic literature search DOI Creative Commons
Wen-Hsiu Yeh,

Ya-Ju Ju,

Fu-Zen Shaw

и другие.

Journal of NeuroEngineering and Rehabilitation, Год журнала: 2025, Номер 22(1)

Опубликована: Апрель 24, 2025

Abstract Objective To investigate which brain activity frequency of electroencephalogram (EEG)-neurofeedback training (NFT) was the most effective for enhancing working memory (WM) and episodic (EM) in healthy participants through network meta-analysis (NMA). Methods Searched PubMed, Embase, Cochrane Library studies published from January 1990 to 2025. We performed Bayesian NMA, pooling continuous outcome data using standardized mean difference effect size (ES). Global local evaluations inconsistency were conducted chi-square test, side-splitting, loop-specific approaches. A consistency model applied global approach showed no significance. Efficacy ranks determined surface under cumulative ranking curve (SUCRA) each intervention. Publication bias assessed comparison-adjusted funnel plot Egger’s test. Finally, sensitivity analysis confirmed our findings’ robustness. Results Sixty included, comprising 50 trials on WM 24 EM. While significant (χ 2 (22) = 30.89, p 0.10) EM (10) 13.48, 0.19), exhibited between active control (AC) alpha combined with (WMT) (ES 6.64, < 0.001) WM, AC 0.84, 0.01) Alpha WMT (100%) NFT (87.0%) also highest efficacy according SUCRA. No publication found either type memory. The aligns original results. Conclusion Through (7–13 Hz) may be a crucial impacting Brain other methods requires more robust future investigation. This study registered www.crd.york.ac.uk/prospero/ (CRD42024539656).

Язык: Английский

Процитировано

0

Exploring neurofeedback as a therapeutic intervention for subjective cognitive decline DOI Creative Commons
Véronique Paban,

Lewis Feraud,

Arnaud Weills

и другие.

European Journal of Neuroscience, Год журнала: 2024, Номер 60(12), С. 7164 - 7182

Опубликована: Ноя. 26, 2024

Abstract Impact statement This study addresses the pressing issue of subjective cognitive decline in aging populations by investigating neurofeedback (NFB) as a potential early therapeutic intervention. By evaluating efficacy individualised NFB training compared to standard protocols, tailored each participant's EEG profile, it provides novel insights into personalised treatment approaches. The incorporation innovative elements and rigorous analytical techniques contributes advancing our understanding NFB's modulatory effects on frequencies function individuals. In context an population, concerns surrounding memory become increasingly prevalent, particularly individuals transition middle age beyond. investigated intervention address (SCD) populations. NFB, biofeedback technique utilising brain‐computer interface, has demonstrated promise various neurological psychological conditions. Here, we evaluated training, protocol aimed at increasing peak alpha frequency power, enhancing among experiencing SCD. Our incorporated elements, including implementation criterion for learning success ensure consistent achievement levels conclusion sessions. Additionally, introduced non‐learner group account who do not demonstrate expected proficiency regulation. Analysis electroencephalographic (EEG) signals during sessions, well before after frequencies. Contrary expectations, analysis revealed that ability with SCD modulate signal power duration specific was exclusive intended target. Furthermore, examination recorded using high‐density showed no discernible alteration between pre‐ post‐NFB Similarly, significant were observed questionnaire scores when comparing assessments.

Язык: Английский

Процитировано

2