Neurofeedback: One of today's techniques in psychiatry?
Open accessAbstract
Objectives Neurofeedback is a technique that aims to teach a subject to regulate a brain parameter measured by a technical interface to modulate his/her related brain and cognitive activities. However, the use of neurofeedback as a therapeutic tool for psychiatric disorders remains controversial. The aim of this review is to summarize and to comment the level of evidence of electroencephalogram (EEG) neurofeedback and real-time functional magnetic resonance imaging (fMRI) neurofeedback for therapeutic application in psychiatry.Method Literature on neurofeedback and mental disorders but also on brain computer interfaces (BCI) used in the field of neurocognitive science has been considered by the group of expert of the Neurofeedback evaluation & training (NExT) section of the French Association of biological psychiatry and neuropsychopharmacology (AFPBN).Results Results show a potential efficacy of EEG-neurofeedback in the treatment of attentional-deficit/hyperactivity disorder (ADHD) in children, even if this is still debated. For other mental disorders, there is too limited research to warrant the use of EEG-neurofeedback in clinical practice. Regarding fMRI neurofeedback, the level of evidence remains too weak, for now, to justify clinical use. The literature review highlights various unclear points, such as indications (psychiatric disorders, pathophysiologic rationale), protocols (brain signals targeted, learning characteristics) and techniques (EEG, fMRI, signal processing).Conclusion The field of neurofeedback involves psychiatrists, neurophysiologists and researchers in the field of brain computer interfaces. Future studies should determine the criteria for optimizing neurofeedback sessions. A better understanding of the learning processes underpinning neurofeedback could be a key element to develop the use of this technique in clinical practice.
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The choice of sham-controls allows elucidation of potential specific (non-placebo) effects and addresses concerns about weak methodological designs in neurofeedback trials.
“Our choice of sham-controls allows us to elucidate any potential specific (e.g. non-placebo) effects and addresses widespread concerns of generally weak methodological designs in NFB trials [102, 172–174].”
Manual, rather than automated, thresholding was chosen because it has been reported to lead to better EEG-learning.
“Manual, rather than automated, thresholding was chosen as it has been reported to lead to better EEG-learning [125, 173, 206, 208].”
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Molaeizadeh, S. Z., Aritzeta, A., khoramzadeh, S., Soroa, G., Olarza, A., & Zolghadr, Z. (2025) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2025.111623 · Cited by 3 · see citing works
Férat, V., Deiber, M., Hasler, R., Michela, A., Michel, C. M., Perroud, N. A., & Ros, T. (2025) · Brain Topography · doi:10.1007/s10548-025-01161-8 · Cited by 4 · see citing works
Perez, T. M., Mathew, J., Glue, P., Adhia, D. B., & Ridder, D. D. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.821136 · Cited by 3 · see citing works
Perez, T. M., Glue, P., Adhia, D. B., Mathew, J., & Ridder, D. D. (2021) · NeuroRegulation · doi:10.15540/nr.8.1.22 · Cited by 2 · see citing works
Perez, T. M., Glue, P., Adhia, D. B., Smith, M. J., Ridder, D. D., Zeng, J., Dillingham, P. W., & Niazi, I. K. (2021) · Research Square · doi:10.21203/rs.3.rs-173667/v1 · Cited by 3 · see citing works
Neurofeedback: Applications, advancements, and future directions
Jubair, H., Islam, M. M., Sarker, A. K., Mehenaz, M., Akter, F., & Yeasmin, N. (2025) · Psychiatry and Clinical Neurosciences Reports · doi:10.1002/pcn5.70259 · Cited by 2 · see citing works
fMRI-based neurofeedback strategies and the way forward to treating phasic psychiatric symptoms
Donantueno, C., Yger, P., Cabestaing, F., & Jardri, R. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1275229 · Cited by 2 · see citing works
Self-citationMotor Imagery-based Neurofeedback in Physiotherapy Practice
Sawai, S., Fujikawa, S., Yamamoto, R., & Nakano, H. (2024) · IntechOpen eBooks · doi:10.5772/intechopen.1004249 · Cited by 2 · see citing works
Adaptive AR- or VR-Neurofeedback for Individualized Learning Enhancement
Farraj, N., & Reiner, M. (2024) · Lecture notes in networks and systems · doi:10.1007/978-3-031-71530-3_5 · Cited by 2 · see citing works
Fedotchev, A. I., Дворянинова, В. В., Velikova, S., & Zemlyanaya, A. A. (2019) · Современные технологии в медицине · doi:10.17691/stm2019.11.1.03 · Cited by 2 · see citing works
Technological Interventions for Obsessive–Compulsive Disorder Management
Borgnis, F., & Pedroli, E. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-818697-8.00096-0 · Cited by 2 · see citing works
L’essor irrésistible d’une discipline abolie : la neuropsychiatrie en France (1968–2018)…
Estingoy, P. (2019) · Annales Médico-psychologiques revue psychiatrique · doi:10.1016/j.amp.2019.03.006 · Cited by 1 · see citing works
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Shuler, T. L., & Ostrowski, D. A. (2025) · IEEE International Conference on Semantic Computing (ICSC) · doi:10.1109/icsc64641.2025.00053 · Cited by 1 · see citing works
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Neurofeedback mithilfe funktioneller Magnetresonanztomographie in Echtzeit
Karch, S., Paolini, M., Jeanty, H., Reckenfelderbäumer, A., Gschwendtner, S., Maywald, M., Rauchmann, B., Rabenstein, A., Chrobok, A. I., Gertzen, M., et al. (2019) · Psychotherapeut · doi:10.1007/s00278-019-0352-2 · Cited by 1 · see citing works
Physical Therapy - Towards Evidence-Based Practice
Nakano, H. (2023) · IntechOpen eBooks · doi:10.5772/intechopen.111144 · Cited by 1 · see citing works
Perez, T. M., Adhia, D. B., Glue, P., Zeng, J., Dillingham, P. W., Navid, M. S., Niazi, I. K., Young, C. K., Smith, M. L., & Ridder, D. J. M. K. D. (2025) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-025-01279-z · Cited by 2 · see citing works
Monseigne, T., Lotte, F., Bioulac, S., Philip, P., & Micoulaud‐Franchi, J. (2020) · HAL · doi:10.3217/978-3-85125-682-6-37 · Cited by 1 · see citing works
Self-citationSubject-independent decoding of affective states using functional near-infrared spectroscopyPreprint
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Self-citationHysteria and its deceptive masks
Bourin, M. (2022) · Archives of Depression and Anxiety · doi:10.17352/2455-5460.000069
- Authors
- Arns, M., Batail, J.-M., Bioulac, S., Congedo, M., Daudet, C., Drapier, D., Fovet, T., Jardri, R., Le-Van-Quyen, M., Lotte, F., Mehler, D., Micoulaud-Franchi, J.-A., Purper-Ouakil, D., & Vialatte, F.
- Affiliations
- Utrecht University (NL)
- Centre Hospitalier Guillaume Régnier (FR)
- Centre National de la Recherche Scientifique (FR)
- Université de Bordeaux (FR)
- Centre Inria de l'université de Bordeaux (FR)
- University of Münster (DE)
- Université Paris Sciences et Lettres (FR)
- ORCID
- Venue
- L'Encéphale
- Publisher
- Elsevier BV
- Published
- 2017-04
- Volume
- 43
- Issue
- 2
- Pages
- 135-145
- ISSN
- 0013-7006 (ISSN-L)
- OpenAlex
- W2562701284
- Cited by
- 117
- References
- 123
- Citations by year
- 2026: 4 · 2025: 11 · 2024: 11 · 2023: 14 · 2022: 10 · 2021: 20 · 2020: 17 · 2019: 14 · 2018: 12 · 2017: 4
- FWCI
- 6.30
- Type
- journal article
- Language
- en
- Open access
- Licence
- Locations
- L Encéphale (publishedVersion)
- PubMed (publishedVersion)
- Research Publications (Maastricht University) (publishedVersion, other-oa)
- ORCA Online Research @Cardiff (Cardiff University) (acceptedVersion)
- HAL (submittedVersion, other-oa)
- HAL (submittedVersion)
- ORCA Online Research @Cardiff (Cardiff University) (submittedVersion)
- Radboud Repository (Radboud University) (submittedVersion)
- Research Publications (Maastricht University) (submittedVersion, other-oa)
- Funders
- Agence Nationale de la Recherche (ANR-15-CE23-0013)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Health Sciences › Medicine › Psychiatry and Mental health › Attention Deficit Hyperactivity Disorder
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- neurofeedback, fMRI neurofeedback, brain-computer interface, mental illness, attention deficit hyperactivity disorder, children, level of evidence, treatment efficacy, expert consensus recommendations, neuromodulation, cognitive modulation
- MeSH terms
- Mental Disorders, Brain, Brain Mapping, Electroencephalography, Humans, Magnetic Resonance Imaging, Psychiatry, Neurofeedback
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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