ArticleFrontiers in human neuroscience2017
Unimodal Versus Bimodal EEG-fMRI Neurofeedback of a Motor Imagery Task.
Article in Frontiers in human neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 3 of them syntheses that pooled it.
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Who cites it
28 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Simultaneous real-time EEG-fMRI neurofeedback: A systematic review.Frontiers in human neuroscience · 2023Pooled it
- A Guide to Literature Informed Decisions in the Design of Real Time fMRI Neurofeedback Studies: A Systematic Review.Frontiers in human neuroscience · 2020Pooled it
- The potential of real-time fMRI neurofeedback for stroke rehabilitation: A systematic review.Cortex; a journal devoted to the study of the nervous system and behavior · 2018Pooled it
- EEG-fMRI neurofeedback versus motor imagery after stroke, a randomized controlled trial.Journal of neuroengineering and rehabilitation · 2025Trial
- EEG-controlled functional electrical stimulation rehabilitation for chronic stroke: system design and clinical application.Frontiers of medicine · 2021Trial
- Multimodal neural feedback collaborative training system for executive function and tactical cognition enhancement in football athletes.Scientific reports · 2025Article
- Evaluating the effects of multimodal EEG-fNIRS neurofeedback for motor imagery: An experimental platform and study protocol.PloS one · 2025Article
- EEG decoding with spatiotemporal convolutional neural network for visualization and closed-loop control of sensorimotor activities: A simultaneous EEG-fMRI study.Human brain mapping · 2024Article
- Bimodal electroencephalography-functional magnetic resonance imaging dataset for inner-speech recognition.Scientific data · 2023Article
- EEG-LLAMAS: A low-latency neurofeedback platform for artifact reduction in EEG-fMRI.NeuroImage · 2023Article
- Simultaneous EEG-fMRI: What Have We Learned and What Does the Future Hold?Sensors (Basel, Switzerland) · 2022Review
- Dynamic functional connectivity estimation for neurofeedback emotion regulation paradigm with simultaneous EEG-fMRI analysis.Frontiers in human neuroscience · 2022Article
- Multimodal resting-state connectivity predicts affective neurofeedback performance.Frontiers in human neuroscience · 2022Article
- Probing fMRI brain connectivity and activity changes during emotion regulation by EEG neurofeedback.Frontiers in human neuroscience · 2022Article
- Toward an Adapted Neurofeedback for Post-stroke Motor Rehabilitation: State of the Art and Perspectives.Frontiers in human neuroscience · 2022Review
- Event-related desynchronization in motor imagery with EEG neurofeedback in the context of declarative interference and sleep.Neuroimage. Reports · 2021Article
- Real-Time Functional Magnetic Resonance Imaging Neurofeedback for the Relief of Distressing Auditory-Verbal Hallucinations: Methodological and Empirical Advances.Schizophrenia bulletin · 2020Review
- Emotion self-regulation training in major depressive disorder using simultaneous real-time fMRI and EEG neurofeedback.NeuroImage. Clinical · 2020Article
- Effects of simultaneous real-time fMRI and EEG neurofeedback in major depressive disorder evaluated with brain electromagnetic tomography.NeuroImage. Clinical · 2020Article
- A Multi-Target Motor Imagery Training Using Bimodal EEG-fMRI Neurofeedback: A Pilot Study in Chronic Stroke Patients.Frontiers in human neuroscience · 2020Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Neurofeedback is a promising tool for brain rehabilitation and peak performance training. Neurofeedback approaches usually rely on a single brain imaging modality such as EEG or fMRI. Combining these modalities for neurofeedback training could allow to provide richer information to the subject and could thus enable him/her to achieve faster and more specific self-regulation. Yet unimodal and multimodal neurofeedback have never been compared before. In the present work, we introduce a simultaneous EEG-fMRI experimental protocol in which participants performed a motor-imagery task in unimodal and bimodal NF conditions. With this protocol we were able to compare for the first time the effects of unimodal EEG-neurofeedback and fMRI-neurofeedback versus bimodal EEG-fMRI-neurofeedback by looking both at EEG and fMRI activations. We also propose a new feedback metaphor for bimodal EEG-fMRI-neurofeedback that integrates both EEG and fMRI signal in a single bi-dimensional feedback (a ball moving in 2D). Such a feedback is intended to relieve the cognitive load of the subject by presenting the bimodal neurofeedback task as a single regulation task instead of two. Additionally, this integrated feedback metaphor gives flexibility on defining a bimodal neurofeedback target. Participants were able to regulate activity in their motor regions in all NF conditions. Moreover, motor activations as revealed by offline fMRI analysis were stronger during EEG-fMRI-neurofeedback than during EEG-neurofeedback. This result suggests that EEG-fMRI-neurofeedback could be more specific or more engaging than EEG-neurofeedback. Our results also suggest that during EEG-fMRI-neurofeedback, participants tended to regulate more the modality that was harder to control. Taken together our results shed first light on the specific mechanisms of bimodal EEG-fMRI-neurofeedback and on its added-value as compared to unimodal EEG-neurofeedback and fMRI-neurofeedback.
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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.