Evidence map›Paper›PMID 40626604›Full record

ArticleHuman brain mapping2025

Neural Mechanisms of Feedback Processing and Regulation Recalibration During Neurofeedback Training.

Gustavo S P Pamplona, Jana Zweerings, Cindy S Lor, Lindsay deErney, Erik Roecher, Arezoo Taebi, Lydia Hellrung, Kaoru Amano, Dustin Scheinost, Florian Krause and 6 more

Abstract read
In one paragraph

Article in Human brain mapping, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Trial
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Gustavo S P PamplonaDepartment of Ophthalmology/University of Lausanne, SensoriMotorLab, Jules-Gonin Eye Hospital/Fondation Asile Des Aveugles, Lausanne, Switzerland.ORCID 0000-0002-0278-203X
Jana ZweeringsDepartment of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, RWTH Aachen, Aachen, Germany.ORCID 0000-0002-5724-1054
Cindy S LorDepartment of Cognition, Emotion, and Methods in Psychology, Faculty of Psychology, University of Vienna, Vienna, Austria.
Lindsay deErneyDepartment of Ophthalmology/University of Lausanne, SensoriMotorLab, Jules-Gonin Eye Hospital/Fondation Asile Des Aveugles, Lausanne, Switzerland.
Erik RoecherDepartment of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, RWTH Aachen, Aachen, Germany.
Arezoo TaebiDepartment of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, RWTH Aachen, Aachen, Germany.ORCID 0000-0002-1520-2890
Lydia HellrungZurich Center for Neuroeconomics, Department of Economics, University of Zurich, Zurich, Switzerland.
Kaoru AmanoPrecursory Research for Embryonic Science and Technology, Japan Science and Technology Agency, Kawaguchi-shi, Japan.
Dustin ScheinostDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut, USA.ORCID 0000-0002-6301-1167
Florian KrauseDonders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands.ORCID 0000-0002-2754-3692
Monica D RosenbergDepartment of Psychology, University of Chicago, USA.ORCID 0000-0001-6179-4025
Silvio IontaDepartment of Ophthalmology/University of Lausanne, SensoriMotorLab, Jules-Gonin Eye Hospital/Fondation Asile Des Aveugles, Lausanne, Switzerland.
Silvia BremDepartment of Child and Adolescent Psychiatry and Psychotherapy, University Hospital of Psychiatry Zurich, University of Zurich, Zurich, Switzerland.
Erno J HermansDonders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands.
Klaus MathiakDepartment of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, RWTH Aachen, Aachen, Germany.
Frank ScharnowskiDepartment of Cognition, Emotion, and Methods in Psychology, Faculty of Psychology, University of Vienna, Vienna, Austria.

Funding

American Psychological Association Dissertation Research AwardDeutsche Forschungsgemeinschaft B03Deutsche Forschungsgemeinschaft DFG TRR379Deutsche Forschungsgemeinschaft Q02Dutch Research Council VI.C.211.106European Research Council ERC-2015-CoG 682591European Union's Horizon 2020 - the Framework Programme for Research and Innovation 794395National Science Foundation Graduate Research FellowshipÖsterreichische ForschungsförderungsgesellschaftSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 100014Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 155915Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 166566Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 178841Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 202665/1Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 32003BSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung BSSG10Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung PP00P1Yale's FAS Brain Imaging Center
6 · The paper itself

Abstract

The acquisition of new skills is facilitated by providing individuals with feedback that reflects their performance. This process creates a closed loop that involves feedback processing and regulation recalibration to promote effective training. Functional magnetic resonance imaging (fMRI)-based neurofeedback is unique in applying this principle by delivering direct feedback on the self-regulation of brain activity. Understanding how feedback-driven learning occurs requires examining how feedback is evaluated and how regulation adjusts in response to feedback signals. In this pre-registered mega-analysis, we re-analyzed data from eight intermittent fMRI neurofeedback studies (N = 153 individuals) to investigate brain regions where activity and connectivity are linked to feedback processing and regulation recalibration (i.e., regulation after feedback) during training. We harmonized feedback scores presented during training in these studies and computed their linear associations with brain activity and connectivity using parametric general linear model analyses. We observed that, during feedback processing, feedback scores were positively associated with (1) activity in the reward system, dorsal attention network, default mode network, and cerebellum; and with (2) reward system-related connectivity within the salience network. During regulation recalibration, no significant associations were observed between feedback scores and either activity or associative learning-related connectivity. Our results suggest that neurofeedback is processed in the reward system, supporting the theory that reinforcement learning shapes this form of brain training. In addition, the involvement of large-scale networks in feedback processing, continuously transitioning between evaluating external feedback and internally assessing the adopted cognitive state, suggests that higher-level processing is integral to neurofeedback learning, which usually occurs over a short time span. Our findings highlight the pivotal role of performance-related feedback as a driving force in learning, potentially extending beyond neurofeedback training to other feedback-based processes.

Indexed as

BrainConnectomeDefault Mode NetworkFeedback, PsychologicalNerve NetNeurofeedbackAdultFemaleHumansMagnetic Resonance ImagingMaleRewardYoung Adultfeedback processingfMRImega‐analysisneurofeedbackregulation recalibrationreinforcement learningreward system

Identifiers

PMID40626604
PMCPMC12235576

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Registered trials

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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.