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Neurofeedback training (NFT) has emerged as a promising technique for enhancing sports performance by enabling individuals to self-regulate their neural activity. However, only 53% of the 13 included studies, all of which published before 2021, in the latest meta-analyses of NFT and motor performance focused on motor performance outcomes. Due to the rapid development of neurofeedback, 8 high-quality articles were published in 2023-2024 alone. Therefore, there is a need for a new meta-analysis to update the impact of NFT on sports performance. In this systematic review and meta-analysis, we have not only reassessed the knowledge of the effect of EEG neurofeedback in motor performance but have also incorporated a standardized methodology, known as the CRED-nf checklist (Consensus on the reporting and experimental design of clinical and cognitive-behavioral neurofeedback studies), for methodological evaluation of previous EEG neurofeedback studies. The study protocol was pre-registered, and a systematic search was conducted across major databases to identify relevant randomized controlled trials. A total of 25 studies were included in the qualitative synthesis, with 21 studies eligible for the meta-analysis. The meta-analysis revealed a moderate positive effect of NFT on sport motor tasks, with a Hedges's g of 0.78 with a 95% confidence interval (CI) of 0.49-1.07. Importantly, subgroup analyses showed that studies with higher methodological quality scores, as assessed by the CRED-nf checklist, had significantly larger effect sizes (Hedges's g = 1.07) compared to lower than median studies (Hedges's g = 0.49). This finding highlights the importance of addressing key methodological gaps, such as reporting on participant strategies, data processing methods, and the relationship between regulation success and behavioral outcomes. In conclusion, NFT showcases a moderate positive impact on sport motor task, particularly when high-quality methodologies are employed, as assessed by the CRED-nf checklist, underscoring the importance of rigorous study designs in future research.
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http://dx.doi.org/10.1111/sms.70055 | DOI Listing |
BMC Psychiatry
September 2025
Department of Cognitive Neuroscience, Faculty of Biology, Bielefeld University, Bielefeld, Germany.
Obsessive-compulsive disorder (OCD) is a chronic and disabling condition affecting approximately 3.5% of the global population, with diagnosis on average delayed by 7.1 years or often confounded with other psychiatric disorders.
View Article and Find Full Text PDFSci Rep
September 2025
VIE, Inc, Kanagawa, Japan.
Music-evoked nostalgia has the potential to assist in recalling autobiographical memories and enhancing well-being. However, nostalgic music preferences vary from person to person, presenting challenges for applying nostalgia-based music interventions in clinical settings, such as a non-pharmacological approach. To address these individual differences, we developed the Nostalgia Brain-Music Interface (N-BMI), a neurofeedback system that recommends nostalgic songs tailored to each individual.
View Article and Find Full Text PDFAm J Psychiatry
September 2025
Laureate Institute for Brain Research, Tulsa, OK.
Cureus
July 2025
Physical Medicine and Rehabilitation, All India Institute of Medical Sciences, New Delhi, New Delhi, IND.
Brain-computer interfaces (BCIs) represent an emerging advancement in rehabilitation, enabling direct communication between the brain and external devices to aid recovery in individuals with neurological impairments. BCIs can be classified into invasive, semi-invasive, non-invasive, or hybrid types. By interpreting neural signals and converting them into control commands, BCIs can bypass damaged pathways, offering therapeutic potential for conditions such as stroke, spinal cord injury, traumatic brain injury, and neurodegenerative diseases such as amyotrophic lateral sclerosis.
View Article and Find Full Text PDFGeroscience
August 2025
Department of Clinical Neuroscience, University of Geneva, Geneva, Switzerland.
Neuropathic pain (NP) is a complex pain disorder that constitutes a significant problem in the aging population, impacting quality of life and everyday functioning. In the quest to develop effective treatments, much research effort has been made to understand brain activity in people with NP, revealing a number of disordered electroencephalogram (EEG) patterns. This information can then be used to inform neurofeedback therapy, a novel approach that involves volitionally training brain activity in a closed loop.
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