From Lab to Life: Challenges and Perspectives of fNIRS for Hemodynamic Neurofeedback in Real-World Environments DOI Open Access
Franziska Klein, Simon H. Kohl, Michael Lührs

et al.

Published: Nov. 17, 2023

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.

Language: Английский

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
Predictors of real-time fMRI neurofeedback performance and improvement – A machine learning mega-analysis DOI Creative Commons
Amelie Haugg,

Fabian M. Renz,

Andrew A. Nicholson

et al.

NeuroImage, Journal Year: 2021, Volume and Issue: 237, P. 118207 - 118207

Published: May 25, 2021

Real-time fMRI neurofeedback is an increasingly popular neuroimaging technique that allows individual to gain control over his/her own brain signals, which can lead improvements in behavior healthy participants as well of clinical symptoms patient populations. However, a considerably large ratio undergoing training do not learn their signals and, consequently, benefit from interventions, limits efficacy interventions. As success varies between studies and participants, it important identify factors might influence success. Here, for the first time, we employed big data machine learning approach investigate 20 different design-specific (e.g. activity vs. connectivity feedback), region interest-specific cortical subcortical) subject-specific age) on performance improvement 608 28 independent experiments. With classification accuracy 60% (considerably chance level), identified two significantly influenced performance: Both inclusion pre-training no-feedback run before patients compared were associated with better performance. The positive effect runs be due familiarization setup mental imagery task runs. Better driven by higher motivation patients, ranges regulation dysfunctional or more extensive piloting experimental paradigms. Due heterogeneity our dataset, these findings likely generalize across studies, thus providing guidance designing efficient specifically improving neurofeedback-based To facilitate development data-driven recommendations specific design details subpopulations field would stronger engagement open science research practices sharing.

Language: Английский

Citations

46
Neurofeedback and the Aging Brain: A Systematic Review of Training Protocols for Dementia and Mild Cognitive Impairment DOI Creative Commons
Lucas R. Trambaiolli, Raymundo Cassani,

David M. A. Mehler

et al.

Frontiers in Aging Neuroscience, Journal Year: 2021, Volume and Issue: 13

Published: June 9, 2021

Dementia describes a set of symptoms that occur in neurodegenerative disorders and is characterized by gradual loss cognitive behavioral functions. Recently, non-invasive neurofeedback training has been explored as potential complementary treatment for patients suffering from dementia or mild impairment. Here we systematically reviewed studies protocols based on electroencephalography functional magnetic resonance imaging these groups patients. From total 1,912 screened studies, 10 were included our final sample ( N = 208 independent participants experimental 81 the control completing primary endpoint). We compared clinical efficacy across evaluated their designs reporting quality. In most showed improved scores different tests. However, data randomized controlled trials remains scarce, evidence standardized metrics still inconclusive. light recent meta-research developments field beyond, quality practices individual are reviewed. conclude with recommendations best future investigate effects

Language: Английский

Citations

45
An investigation of the effectiveness of neurofeedback training on motor performance in healthy adults: A systematic review and meta-analysis DOI Creative Commons
Ryoji Onagawa,

Yoshihito Muraoka,

Nobuhiro Hagura

et al.

NeuroImage, Journal Year: 2023, Volume and Issue: 270, P. 120000 - 120000

Published: March 3, 2023

Neurofeedback training (NFT) refers to a where the participants voluntarily aim manipulate their own brain activity using sensory feedback abstracted from activity. NFT has attracted attention in field of motor learning due its potential as an alternative or additional method for general physical training. In this study, systematic review studies performance improvements healthy adults and meta-analysis on effectiveness were conducted. A computerized search was performed databases Web Science, Scopus, PubMed, JDreamIII, Ichushi-Web identify relevant published between January 1st, 1990, August 3rd, 2021. Thirty-three identified qualitative synthesis 16 randomized controlled trials (374 subjects) meta-analysis. The meta-analysis, including all found search, revealed significant effects improvement examined at timing after last session (standardized mean difference = 0.85, 95% CI [0.18-1.51]), but with existence publication biases substantial heterogeneity among trials. Subsequent meta-regression analysis demonstrated dose-response gradient NFTs improvements; more than 125 min cumulative time may benefit subsequent performance. For each measure (e.g., speed, accuracy, hand dexterity), remains inconclusive, mainly small sample sizes. More empirical be needed show beneficial safely incorporate into real-world scenarios.

Language: Английский

Citations

19
Optimizing spatial specificity and signal quality in fNIRS: an overview of potential challenges and possible options for improving the reliability of real-time applications DOI Creative Commons
Franziska Klein

Frontiers in Neuroergonomics, Journal Year: 2024, Volume and Issue: 5

Published: June 5, 2024

The optical brain imaging method functional near-infrared spectroscopy (fNIRS) is a promising tool for real-time applications such as neurofeedback and brain-computer interfaces. Its combination of spatial specificity mobility makes it particularly attractive clinical use, both at the bedside in patients' homes. Despite these advantages, optimizing fNIRS use requires careful attention to two key aspects: ensuring good maintaining high signal quality. While detects superficial cortical regions, consistently reliably targeting specific regions interest can be challenging, studies that require repeated measurements. Variations cap placement coupled with limited anatomical information may further reduce this accuracy. Furthermore, important maintain quality contexts ensure they reflect true underlying activity. However, signals are susceptible contamination by cerebral extracerebral systemic noise well motion artifacts. Insufficient preprocessing therefore cause system run on instead aim review article help advance progress fNIRS-based applications. It highlights potential challenges improving quality, discusses possible options overcome challenges, addresses considerations relevant By addressing topics, aims improve planning execution future studies, thereby increasing their reliability repeatability.

Language: Английский

Citations

8
(When and how) does basic research in clinical psychology lead to more effective psychological treatment for mental disorders? DOI
Thomas Ehring,

Karina Limburg,

Anna E. Kunze

et al.

Clinical Psychology Review, Journal Year: 2022, Volume and Issue: 95, P. 102163 - 102163

Published: May 17, 2022

Language: Английский

Citations

23
Probing fMRI brain connectivity and activity changes during emotion regulation by EEG neurofeedback DOI Creative Commons

Amin Dehghani,

Hamid Soltanian‐Zadeh, Gholam‐Ali Hossein‐Zadeh

et al.

Frontiers in Human Neuroscience, Journal Year: 2023, Volume and Issue: 16

Published: Jan. 6, 2023

Despite the existence of several emotion regulation studies using neurofeedback, interactions among a small number regions were evaluated, and therefore, further investigation is needed to understand brain involved in regulation. We implemented electroencephalography (EEG) neurofeedback with simultaneous functional magnetic resonance imaging (fMRI) modified happiness-inducing task through autobiographical memories upregulate positive emotion. Then, an explorative analysis whole was done effect on activity interaction The participants control experimental groups asked do while viewing images getting sham or real (based alpha asymmetry) EEG respectively. proposed multimodal approach quantified effects changing power, fMRI blood oxygenation level-dependent (BOLD) prefrontal, occipital, parietal, limbic (up 1.9% increase), connectivity in/between system, insula group. New links identified by comparing between conditions (Upregulation View blocks) also groups. Psychometric assessments confirmed significant changes negative mood states group neurofeedback. Based exploratory all regions, we found BOLD increases due group, but no learning observed results reveal new connections as result which can be justified according models role those recalling memories.

Language: Английский

Citations

15
Feasibility and utility of amygdala neurofeedback DOI Creative Commons
Noam Goldway, Itamar Jalon,

Jackob N. Keynan

et al.

Neuroscience & Biobehavioral Reviews, Journal Year: 2022, Volume and Issue: 138, P. 104694 - 104694

Published: May 24, 2022

Language: Английский

Citations

21
Navigating the 'Zen Zeitgeist': The Potential of Personalized Neurofeedback for Meditation DOI Open Access
Tracy Brandmeyer, Nicco Reggente

Published: Dec. 5, 2023

The advancement of neurotechnological tools for meditation and mindfulness training may help to accelerate many the transformational states traits that result from consistent practice. However, adopting a traditional one-size-fits-all approach in development tools, such as neurofeedback applications training, will likely limit potential benefits; individual differences compensatory mechanisms strongly impact both efficacy given protocol, well how foundational skills are acquired. Here we emphasize importance embracing propose novel, personalized intervention technologies sidestep potentially deleterious outcomes. Given growing interest research on effects brain, behavior, overall health, briefly address some philosophical cultural challenges associated with translating contemplative practices into applications, further accentuating need individualized multimodal approaches.

Language: Английский

Citations

11
Towards therapeutic electrophysiological neurofeedback in Parkinson's disease DOI

Elena Ubeda Matzilevich,

Pria L. Daniel, Simon Little

et al.

Parkinsonism & Related Disorders, Journal Year: 2024, Volume and Issue: 121, P. 106010 - 106010

Published: Jan. 14, 2024

Language: Английский

Citations

4