Clinical applications of neurofeedback based on sensorimotor rhythm: a systematic review and meta-analysis DOI Creative Commons

Tatiana Ferri Ribeiro,

Marcelo Alves Carriello, Eugenio Pereira de Paula

et al.

Frontiers in Neuroscience, Journal Year: 2023, Volume and Issue: 17

Published: Nov. 20, 2023

Background Among the brain-machine interfaces, neurofeedback is a non-invasive technique that uses sensorimotor rhythm (SMR) as clinical intervention protocol. This study aimed to investigate applications of SMR understand its effectiveness in different pathologies or symptoms. Methods A systematic review with meta-analysis EEG-based performed using pre-selected publication databases. qualitative analysis these studies was Consensus tool on Reporting and Experimental Design Neurofeedback (CRED-nf). The Meta-analysis efficacy carried out Review Manager software, version 5.4.1 (RevMan 5; Cochrane Collaboration, Oxford, UK). Results includes 44 studies, which only 27 had some kind control condition, five were double-blinded, three reported blind follow-up throughout intervention. included total sample 203 individuals between stroke fibromyalgia. Studies multiple sclerosis, insomnia, quadriplegia, paraplegia, mild cognitive impairment excluded due absence group results based post-intervention scales. Statistical indicated patients did not benefit from interventions when compared other therapies (Std. mean. dif. 0.31, 95% CI 0.03–0.60, p = 0.03), there no significant heterogeneity among classified moderate I 2 46% -value 0.06. Patients diagnosed fibromyalgia showed, by means quantitative analysis, better for used −0.73, −1.22 −0.24, 0.001). Thus, performing pooled conditions, differences observed standard therapy (0.05, 95%, −0.20 −0.30, 0.69), presence substantial 92.2%, < 0.001. Conclusion We conclude although electrophysiological patterns contemplates interest numerous researchers existence research presents promising results, it currently possible point benefits form Therefore, necessary develop more robust greater rigorous methodology can provide population.

Language: Английский

Evidence from a meta-analysis and systematic review reveals the global prevalence of mild cognitive impairment DOI Creative Commons

Wen-xin Song,

Weiwei Wu, Yuanyuan Zhao

et al.

Frontiers in Aging Neuroscience, Journal Year: 2023, Volume and Issue: 15

Published: Oct. 27, 2023

Objective Mild cognitive impairment (MCI) is a preclinical and transitional stage between healthy ageing dementia. The purpose of our study was to investigate the recent pooled global prevalence MCI. Methods This meta-analysis in line with recommendations Cochrane’s Handbook Preferred Reporting Items for Systematic Reviews Meta-Analyses (PRISMA) 2020. We conducted comprehensive search using PubMed, Embase, Web Science, CNKI, WFD, VIP, CBM from their inception March 1, 2023. Quality assessment guided by Agency Healthcare Research (AHRQ) methodology checklist. MCI synthesized via random effect model. Subgroup analyses were performed examine considered factors potentially associated prevalence. Results identified 233 studies involving 676,974 individuals aged above 50 years. All rated as moderated-to-high quality. overall 19.7% [95% confidence interval (95% CI): 18.3–21.1%]. revealed that increased over time, significant rise [32.1% CI: 22.6–41.6%)] after 2019. Additionally, hospitals [34.0% 22.2–45.7%)] higher than nursing homes [22.6% 15.5–29.8%)] communities [17.9% 16.6–19.2%)], particularly epidemic coronavirus disease 2019 (COVID-19). Conclusion mainly correlated beginning year survey sample source. largely may be related outbreak COVID-19. Further attention necessary future inform allocation health resources at-risk populations.

Language: Английский

Citations

35
Brain computer interfaces for cognitive enhancement in older people - challenges and applications: a systematic review DOI Creative Commons

Pi-En Tsai,

Asangaedem Akpan, Kea‐Tiong Tang

et al.

BMC Geriatrics, Journal Year: 2025, Volume and Issue: 25(1)

Published: Jan. 16, 2025

Brain-computer interface (BCI) offers promising solutions to cognitive enhancement in older people. Despite the clear progress received, there is limited evidence of BCI implementation for rehabilitation. This systematic review addresses applications and challenges standard practice EEG-based neurofeedback (NF) training healthy people or with mild impairment (MCI). Articles were searched via MEDLINE, PubMed, SCOPUS, SpringerLink, Web Science. 16 studies between 1st January 2010 November 2024 are included after screening using PRISMA. The risk bias, system design, protocols reviewed. successful NF trials biased by randomisation process outcome measurement. Although demonstrate results effectiveness research-grade people, it premature make definitive claims about widespread usability applicability. highlights common issues field Future research could focus on trial design performance gaps old young develop a robust that compensates age-related declines motor functions.

Language: Английский

Citations

1
Systematic review and meta-analysis of the effects of EEG neurofeedback combined with pharmacological treatment on the positive and negative symptoms in patients with schizophrenia DOI Creative Commons

Yiyi Duan,

Shirley Xin Li,

Shuqi Jia

et al.

Frontiers in Psychiatry, Journal Year: 2025, Volume and Issue: 16

Published: March 28, 2025

To evaluate the efficacy of EEG neurofeedback (EEG-NF) combined with pharmacological treatment on positive and negative symptoms in schizophrenia. Randomized controlled trials (RCTs) were searched CNKI, Wanfang, VIP, PubMed, Web Science, Cochrane, Embase databases until January 25, 2025. Literature quality was assessed using PEDro CRED-NF checklists. Meta-analysis publication bias tests performed RevMan 5.4.1 Stata 18.0, respectively, evidence evaluated via GRADEpro. Fourteen studies (1371 patients) included. EEG-NF significantly improved (SMD=-0.87) (SMD=-1.28). Subgroup analysis showed greater improvement patients aged ≥45 years (positive: SMD=-1.05; negative: SMD=-1.64). For symptoms, better outcomes observed intervention periods ≥8 weeks, frequency ≥4 times/week, disease duration ≥5 (SMD=-1.04, -0.94, -0.94). seen <5 (SMD=-1.34, -1.68, -1.26). Mental emotional disorders regimens targeting sensorimotor rhythm (SMR) beta waves significant both (SMD=-0.98) (SMD=-1.49). effectively improves schizophrenia symptoms. A regimen sessions/week for SMR waves, is recommended. However, may limit generalizability findings. Future research should prioritize larger-scale, multicenter to long-term mechanisms. www.crd.york.ac.uk, identifier CRD42024593505.

Language: Английский

Citations

1
Poststroke motor, cognitive and speech rehabilitation with brain–computer interface: a perspective review DOI Creative Commons
Ravikiran Mane, Zhenhua Wu, David Wang

et al.

Stroke and Vascular Neurology, Journal Year: 2022, Volume and Issue: 7(6), P. 541 - 549

Published: July 19, 2022

Brain-computer interface (BCI) technology translates brain activity into meaningful commands to establish a direct connection between the and external world. Neuroscientific research in past two decades has indicated tremendous potential of BCI systems for rehabilitation patients suffering from poststroke impairments. By promoting neuronal recovery damaged networks, have achieved promising results motor, cognitive, language Also, several assistive that provide alternative means communication control severely paralysed been proposed enhance patients' quality life. In this article, we present perspective review recent advances challenges used

Language: Английский

Citations

30
Self-Modulation of Gamma-Band Synchronization through EEG-Neurofeedback Training in the Elderly DOI Creative Commons
Katia Andrade, Nesma Houmani,

Thomas Guieysse

et al.

Journal of Integrative Neuroscience, Journal Year: 2024, Volume and Issue: 23(3)

Published: March 21, 2024

Background: Electroencephalography (EEG) stands as a pivotal non-invasive tool, capturing brain signals with millisecond precision and enabling real-time monitoring of individuals’ mental states. Using appropriate biomarkers extracted from these EEG presenting them back in neurofeedback loop offers unique avenue for promoting neural compensation mechanisms. This approach empowers individuals to skillfully modulate their activity. Recent years have witnessed the identification associated aging, underscoring potential neuromodulation regulate activity elderly. Methods Objectives: Within framework an EEG-based brain-computer interface, this study focused on three that may be disturbed aging brain: Peak Alpha Frequency, Gamma-band synchronization, Theta/Beta ratio. The primary objectives were twofold: (1) investigate whether elderly subjective memory complaints can learn activity, through EEG-neurofeedback training, rigorously designed double-blind, placebo-controlled study; (2) explore cognitive enhancements resulting neuromodulation. Results: A significant self-modulation synchronization biomarker, critical numerous higher functions known decline age, even more Alzheimer’s disease (AD), was exclusively observed group undergoing training. effect starkly contrasted subjects receiving sham feedback. While did not directly impact abilities, assessed by pre- versus post-training neuropsychological tests, high baseline performance all at entry likely contributed result. Conclusion: findings double-blind align key criterion successful neuromodulation, highlighting such process. important outcome encourages further exploration specific biomarker promising intervention counter often accompanies and, eventually, modify progression AD.

Language: Английский

Citations

4
Toxic air pollution and cognitive decline: Untangling particulate matter DOI
Kerry Ard, Jason R. Thomas, Clair Bullock

et al.

Health & Place, Journal Year: 2024, Volume and Issue: 89, P. 103330 - 103330

Published: Aug. 16, 2024

Language: Английский

Citations

4
From lab to life: challenges and perspectives of fNIRS for haemodynamic-based neurofeedback in real-world environments DOI Creative Commons
Franziska Klein, Simon H. Kohl, Michael Lührs

et al.

Philosophical Transactions of the Royal Society B Biological Sciences, Journal Year: 2024, Volume and Issue: 379(1915)

Published: Oct. 21, 2024

Neurofeedback allows individuals to monitor and self-regulate their brain activity, potentially improving human function. Beyond the traditional electrophysiological approach using primarily electroencephalography, haemodynamics measured with functional magnetic resonance imaging (fMRI) more recently, near-infrared spectroscopy (fNIRS) have been used (haemodynamic-based neurofeedback), particularly improve spatial specificity of neurofeedback. Over recent years, especially fNIRS has attracted great attention because it offers several advantages over fMRI such as increased user accessibility, cost-effectiveness mobility—the latter being most distinct feature fNIRS. The next logical step would be transfer haemodynamic-based neurofeedback protocols that already proven validated by mobile However, this undertaking is not always easy, since novices may miss important fNIRS-specific methodological challenges. This review aimed at researchers from different fields who seek exploit unique capabilities for It carefully addresses challenges suggestions possible solutions. If raised are addressed further developed, could emerge a useful technique its own application potential—the targeted training activity in real-world environments, thereby significantly expanding scope scalability applications. article part theme issue ‘Neurofeedback: new territories neurocognitive mechanisms endogenous neuromodulation’.

Language: Английский

Citations

4
Age as a limiting factor for effectiveness of photostimulation of brain drainage and cognitive functions DOI Creative Commons

Terskov Andrey,

Shirokov Alexander,

Blokhina Inna

et al.

Frontiers of Optoelectronics, Journal Year: 2025, Volume and Issue: 18(1)

Published: March 31, 2025

Abstract The progressive number of old adults with cognitive impairment worldwide and the lack effective pharmacologic therapies require development non-pharmacologic strategies. photobiomodulation (PBM) is a promising method in prevention early or mild age-related impairments. However, it remains unclear efficacy PBM for patients significant dysfunction. In our study on male mice, we show gradual increase brain amyloid beta (Aβ) levels decrease drainage age, which, however, associated decline function only (24 months age) mice but not middle-aged (12 young (3 month animals. These features are accompanied by hyperplasia meningeal lymphatic vessels (MLVs) underlying drainage. improves training exercises Aβ clearance while animals sensitive to PBM. results clearly demonstrate that effects correlated age-mediated changes MLV network may be if preserved. findings expand fundamental knowledge about age differences effectiveness improvement functions as well mechanisms responsible sensitivity therapeutic effects. Graphical

Language: Английский

Citations

0
A review: effects of neurofeedback on patients with mild cognitive impairment (MCI), and Alzheimer’s disease (AD) DOI Creative Commons

Miyako Tazaki

Frontiers in Human Neuroscience, Journal Year: 2024, Volume and Issue: 17

Published: Feb. 14, 2024

Neurofeedback training (NFT) is a non-invasive method and has been shown to be effective for attention deficit/hyperactivity disorder (ADHD) various psychiatric disorders. The aim of this paper evaluate the effectiveness NFT patients with Mild Cognitive Impairment (MCI) Alzheimer’s disease (AD) or Vascular Diseases (VD), so that we searched research articles from four databases, using keywords neurofeedback, elderly, MCI, AD, VD, dementia. As result, 13 were identified regarding in MCI AD. Although each study differed design, protocol, electroencephalogram (EEG) electrode placement, reward inhibition frequency bands, all enhance memory, attention, other cognitive abilities. Additional well-designed, randomized studies sufficient power are needed further confirm NFT.

Language: Английский

Citations

3
The mind–machine connection: adaptive information processing and new technologies promoting mental health in older adults DOI
Samildes Silva Magalhães, Ana Maria Lucas-Ochoa, Ana María González Cuello

et al.

The Neuroscientist, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 19, 2025

The human brain demonstrates an exceptional adaptability, which encompasses the ability to regulate emotions, exhibit cognitive flexibility, and generate behavioral responses, all supported by neuroplasticity. Brain–computer interfaces (BCIs) employ adaptive algorithms machine learning techniques adapt variations in user’s activity, allowing for customized interactions with external devices. Older adults may experience decline, could affect learn new technologies such as BCIs, but both (human BCI) demonstrate adaptability their responses. is skilled at quickly switching between tasks regulating while BCIs can modify signal-processing accommodate changes activity. Furthermore, BCI participate knowledge acquisition; first one strengthens abilities through exposure experiences, second improves performance ongoing adjustment improvement. Current research seeks incorporate emotional states into systems improve user experience, despite regulation of brain. implementation older be more effective, inclusive, beneficial improving quality life. This review aims understanding brain–machine implications mental health adults.

Language: Английский

Citations

0