ArticleNeural plasticity2018
Mixed-Effects Modeling of Neurofeedback Self-Regulation Performance: Moderators for Learning in Children with ADHD.
Article in Neural plasticity, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02358941 (Neurofeedback and Computerized Cognitive Training in Different Settings for Children and Adolescents With Attention Deficit/Hyperactivity Disorder), which is not on this map. Cited by 13 papers, 2 of them syntheses that pooled it.
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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.
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.
Neurofeedback and Computerized Cognitive Training in Different Settings for Children and Adolescents With Attention Deficit/Hyperactivity Disorder (ADHD)
Who cites it
13 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Neurofeedback training for executive function in ADHD children: a systematic review and meta-analysis.Scientific reports · 2025Pooled it
- How standardized are "standard protocols"? Variations in protocol and performance evaluation for slow cortical potential neurofeedback: A systematic review.Frontiers in human neuroscience · 2022Pooled it
- Effects of fMRI neurofeedback of right inferior frontal cortex on inhibitory brain activation in children with ADHD.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Trial
- Double-Blind, Sham-Controlled Randomized Trial Testing the Efficacy of fMRI Neurofeedback on Clinical and Cognitive Measures in Children With ADHD.The American journal of psychiatry · 2022Trial
- Slow-Oscillation Neurofeedback: A Narrative Review on Clinical Efficacy in Pediatric Settings.Behavioral sciences (Basel, Switzerland) · 2026Review
- Review
- Neurofeedback strategies in binge-eating disorder as predictors of EEG-neurofeedback regulation success.Frontiers in human neuroscience · 2023Article
- Surface electroencephalographic neurofeedback improves sustained attention in ADHD: a meta-analysis of randomized controlled trials.Child and adolescent psychiatry and mental health · 2022Article
- Probing fMRI brain connectivity and activity changes during emotion regulation by EEG neurofeedback.Frontiers in human neuroscience · 2022Article
- Review
- MAGNITIVE: Effectiveness and Feasibility of a Cognitive Training Program Through Magic Tricks for Children With Attention Deficit and Hyperactivity Disorder. A Second Clinical Trial in Community Settings.Frontiers in psychology · 2021Article
- Neurofunctional and behavioural measures associated with fMRI-neurofeedback learning in adolescents with Attention-Deficit/Hyperactivity Disorder.NeuroImage. Clinical · 2020Article
- Neurofeedback versus psychostimulants in the treatment of children and adolescents with attention-deficit/hyperactivity disorder: a systematic review.Neuropsychiatric disease and treatment · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Neurofeedback (NF) has gained increasing popularity as a training method for children and adults with attention deficit hyperactivity disorder (ADHD). However, it is unclear to what extent children learn to regulate their brain activity and in what way NF learning may be affected by subject- and treatment-related factors. Methods: In total, 48 subjects with ADHD (age 8.5-16.5 years; 16 subjects on methylphenidate (MPH)) underwent 15 double training sessions of NF in either a clinical or a school setting. Four mixed-effects models were employed to analyze learning: training within-sessions, across-sessions, with continuous feedback, and with transfer in which performance feedback is delayed. Results: Age and MPH affected the NF performance in all models. Cross-session learning in the feedback condition was mainly moderated by age and MPH, whereas NF learning in the transfer condition was mainly boosted by MPH. Apart from IQ and task types, other subject-related or treatment-related effects were unrelated to NF learning. Conclusion: This first study analyzing moderators of NF learning in ADHD with a mixed-effects modeling approach shows that NF performance is moderated differentially by effects of age and MPH depending on the training task and time window. Future studies may benefit from using this approach to analyze NF learning and NF specificity. The trial name Neurofeedback and Computerized Cognitive Training in Different Settings for Children and Adolescents With ADHD is registered with NCT02358941.
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