ArticleFrontiers in human neuroscience2022
Multimodal resting-state connectivity predicts affective neurofeedback performance.
Article in Frontiers in human neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.
- Music in the loop: a systematic review of current neurofeedback methodologies using music.Frontiers in neuroscience · 2025Pooled it
- Effects of Motor Imagery Training Based on Near-Infrared Functional Brain Imaging on Upper Limb Function in Stroke Patients: A Randomized Controlled Trial.Brain topography · 2026Trial
- Neurofeedback in Football: A Systematic Review of Cognitive, Technical, Physical and Psychological Outcomes.NeuroSci · 2026Review
- EEG-Based Prediction of Stress Responses to Naturalistic Decision-Making Stimuli in Police Cadets.Sensors (Basel, Switzerland) · 2025Article
- From lab to life: challenges and perspectives of fNIRS for haemodynamic-based neurofeedback in real-world environments.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Review
- Assessing the Effectiveness of Audio-Visual vs. Visual Neurofeedback for Attention Enhancement: A Pilot Study with Neurological, Behavioural, and Neuropsychological Measures.Brain topography · 2024Article
Corrections and comments
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Authors and funding
6 authors at 5 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Neurofeedback has been suggested as a potential complementary therapy to different psychiatric disorders. Of interest for this approach is the prediction of individual performance and outcomes. In this study, we applied functional connectivity-based modeling using electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) modalities to (i) investigate whether resting-state connectivity predicts performance during an affective neurofeedback task and (ii) evaluate the extent to which predictive connectivity profiles are correlated across EEG and fNIRS techniques. The fNIRS oxyhemoglobin and deoxyhemoglobin concentrations and the EEG beta and gamma bands modulated by the alpha frequency band (beta-
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.