Introduction: Neurofeedback based on functional magnetic resonance imaging allows for learning voluntary control over one's own brain activity, aiming to enhance cognition and clinical symptoms. We previously reported improved sustained attention temporarily by training healthy participants to up-regulate the differential activity of the sustained attention network minus the default mode network (DMN). However, the long-term brain and behavioral effects of this training have not yet been studied. In general, despite their relevance, long-term learning effects of neurofeedback training remain under-explored.
Methods: Here, we complement our previously reported results by evaluating the neurofeedback training effects on functional networks involved in sustained attention and by assessing behavioral and brain measures before, after, and 2 months after training. The behavioral measures include task as well as questionnaire scores, and the brain measures include activity and connectivity during self-regulation runs without feedback (i.e., transfer runs) and during resting-state runs from 15 healthy individuals.
Results: Neurally, we found that participants maintained their ability to control the differential activity during follow-up sessions. Further, exploratory analyses showed that the training increased the functional connectivity between the DMN and the occipital gyrus, which was maintained during follow-up transfer runs but not during follow-up resting-state runs. Behaviorally, we found that enhanced sustained attention right after training returned to baseline level during follow-up.
Conclusion: The discrepancy between lasting regulation-related brain changes but transient behavioral and resting-state effects raises the question of how neural changes induced by neurofeedback training translate to potential behavioral improvements. Since neurofeedback directly targets brain measures to indirectly improve behavior in the long term, a better understanding of the brain-behavior associations during and after neurofeedback training is needed to develop its full potential as a promising scientific and clinical tool.
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http://dx.doi.org/10.1002/brb3.3217 | DOI Listing |
Clin Neurophysiol
December 2024
Department of Epilepsy, Movement Disorders and Physiology, Graduate School of Medicine, Kyoto University, Kyoto, Japan. Electronic address:
Objective: Seizure suppression using the neurofeedback (NFB) method by self-regulation of scalp-recorded slow cortical potential (SCP) is effective for patients with refractory focal epilepsy. However, the prolonged training period required prevents it from wider implementation as the standard treatment in clinical practice. Therefore, we examined whether it would be appropriate to shorten the training period, in spite of the small number of patients.
View Article and Find Full Text PDFMajor Depressive Disorder (MDD) poses a significant public health challenge due to its high prevalence and the substantial burden it places on individuals and healthcare systems. Real-time functional magnetic resonance imaging neurofeedback (rtfMRI-NF) shows promise as a treatment for this disorder, although its mechanisms of action remain unclear. This study investigated whole-brain response patterns during rtfMRI-NF training to explain interindividual variability in clinical efficacy in MDD.
View Article and Find Full Text PDFBrain Behav
December 2024
Department of Psychiatry of Women and Children, The Second People's Hospital of Guizhou Province, Guiyang, Guizhou, China.
Objective: This study aimed to synthesize and encapsulate findings from recent research (May 1, 2018 to August 1, 2023) on neurofeedback interventions for children diagnosed with attention deficit hyperactivity disorder (ADHD).
Methods: A comprehensive search was conducted across major databases and platforms, including randomized controlled trials s focusing on children aged 5-11 years with ADHD. The inclusion was broad, not restricted by ADHD subtype, gender, IQ, socioeconomic status, or coexisting conditions.
Lancet Psychiatry
January 2025
Hampshire and Isle of Wight NHS Foundation Trust, Southampton, UK; Clinical and Experimental Sciences (CNS and Psychiatry), Faculty of Medicine, University of Southampton, Southampton, UK; Developmental EPI Evidence Synthesis, Prediction, Implementation Lab, Centre for Innovation in Mental Health-School of Psychology, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, UK; New York University Child Study Center, Hassenfeld Children's Hospital at NYU Langone, New York, NY, USA; Department of Precision and Regenerative Medicine and Ionian Area, University of Studies of Bari Aldo Moro, Bari, Italy.
Background: The comparative benefits and harms of available interventions for ADHD in adults remain unclear. We aimed to address these important knowledge gaps.
Methods: In this systematic review and component network meta-analysis (NMA), we searched multiple databases for published and unpublished randomised controlled trials (RCTs) investigating pharmacological and non-pharmacological interventions for ADHD in adults from database inception to Sept 6, 2023.
The present study employed individualized magnitudes of electroencephalographic (EEG) alpha (8-12 hz) power in the left temporal (T3) region as a neurofeedback target parameter during the aiming period in pre-elite air pistol shooters to determine its effectiveness on cerebral cortical activation and performance accuracy compared to physical skill training, only. Shooting scores and EEG activity in the left and right temporal regions were collected from 20 healthy air pistol shooters (10 assigned to neurofeedback training) before and after a 16-session intervention completed within 6 weeks. Specifically, EEG low-alpha (8-10 hz), high-alpha (10-13 hz) power, and coherence obtained at the T3-Fz and T4-Fz recording sites over three consecutive 1-s intervals prior to trigger pull, were subjected to three separate 2 × 2 × 2 × 3 (Group x Hemisphere x Time x Epoch) ANOVAs.
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