BACKGROUND

Recovery is essential for high-intensity intermittent sports athletes to achieve optimal performance. Heart rate variability (HRV) serves as a marker of the autonomic nervous system, which also measures the parasympathetic regulation that facilitates recovery. Neurofeedback (NBF) intervention, combined with deep breathing and mental imagery, presented positive results in facilitating parasympathetic reactivation. However, limited studies exist in investigating the influence of the NBF intervention on HRV parameters and recovery, specifically in high-intensity intermittent sports athletes.

This pilot study aims to investigate the effects and influence of neurobiofeedback intervention on recovery via the use of HRV of UAAP Collegiate Basketball and Football Athletes.

The research will be done with a Quasi-experimental onegroup pretest-posttest study design.

Participants will undergo a neurobiofeedback intervention following neuromuscular and metabolic training. Data is collected with a Polar H10 HRM Chest Strap connected to an Elite HRV monitoring application and will be analyzed by Kubios HRV software.

Descriptive statistics will be computed for participant characteristics. Kolmogorov-Smirnov test (p >0.05) will assess normality. Two-way repeated-measures ANOVAs will examine NBF effects across exercise types, with Bonferroni-corrected pairwise comparisons and trend analysis for the main effects and non-significant but clinically relevant patterns. All analyses will be done using SPSS v25.

It is expected that the neurobiofeedback intervention will have an effect and influence by eliciting a lower LF/HF ratio and SD1/SD2, suggesting a facilitated reactivation of the parasympathetic nervous system, promoting recovery after undergoing neuromuscular or metabolic training.

During long-duration manned space missions, the complex and extreme space environment exerts significant impacts on astronauts' physiological, psychological, and cognitive functions, thereby posing direct risks to mission safety and operational efficiency. As a key bridge between the brain and external devices, brain-computer interface (BCI) technology enables precise acquisition and interpretation of neural signals, offering a novel paradigm for human-machine collaboration in manned spaceflight. Non-invasive BCI technology shows broad application prospects across astronaut selection, mission training, in-orbit task execution, and post-mission rehabilitation. During mission preparation, multimodal signal assessment and neurofeedback training based on BCI can effectively enhance cognitive performance and psychological resilience. During mission execution, BCI can provide real-time monitoring of physiological and psychological states and enable intention-based device control, thereby improving operational efficiency and safety. In the post-mission rehabilitation phase, non-invasive BCI combined with neuromodulation may improve emotional and cognitive functions, support motor and cognitive recovery, and contribute to long-term health management. However, the application of BCI in space still faces challenges, including insufficient signal robustness, limited system adaptability, and suboptimal data processing efficiency. Looking forward, integrating multimodal physiological sensors with deep learning algorithms to achieve accurate monitoring and individualized intervention, and combining BCI with virtual reality and robotics to develop intelligent human-machine collaboration models, will provide more efficient support for space missions.
Brain-Computer Interfaces ; Humans ; Space Flight ; Astronauts/psychology* ; Neurofeedback ; Cognition ; Electroencephalography ; Man-Machine Systems

OBJECTIVE: To approach the evaluation of relative α variant score monitored by bedside continuous electroencephalography and optic nerve sheath diameter (ONSD) evaluated by ultrasound in patients with ischemic hypoxic encephalopathy, and to observe the effect of neurofeedback training on brain function. METHODS: A prospective observational study was conducted. The patients admitted to the emergency and intensive care department of Shanghai Pudong New Area People's Hospital from January 2021 to December 2023, who meet the diagnostic criteria of ischemic hypoxic encephalopathy with the Glasgow coma score (GCS) ≤ 8 at admission receiving neurofeedback training were enrolled as the study object (observation group), and the patients without neurofeedback training and GCS score ≤ 8 at admission were enrolled as the controls (control group). Both groups received intravenous neurotrophic therapy combining ganglioside and cerebrolysin for 10 days as one course of treatment. On this basis, the observation group additionally received continuous neurofeedback training including visual feedback, auditory feedback, meditation and relaxation for 14 days. Bedside continuous electroencephalography was used for monitoring relative α variation score, and ultrasound was used to determine ONSD. The average power and slow wave power [expressed as delta-theta ratio (DTR)] of five channels in electroencephalography before and 14 days after neurofeedback training were examined. The differences in peripheral blood neutrophil/lymphocyte ratio (NLR), Hamilton depression scale (HAMD) score, National Institutes of Health stroke scale (NIHSS) score, plasma levels of 5-hydroxytryptamine (5-HT) and brain-derived neurotrophic factor (BDNF). RESULTS: A total of 60 patients were enrolled in the observation group and 50 patients in the control group finally. There was no significant difference in gender, age or course of disease between the two groups. The ONSD and relative α variant score in the observation group were significantly higher than those in the control group [ONDS (mm): 5.59±0.42 vs. 3.23±0.34, relative α variant score: 2.28±0.39 vs. 0.83±0.28, both P < 0.01]. After neurofeedback training for 14 days, the mean power and DTR in five channels of electroencephalography in the observation group were significantly lower than those before treatment [mean power (μV²/Hz): 95.35±3.61 vs. 102.58±4.23 in frontal pole 1 (Fp1), 38.56±4.73 vs. 46.13±2.36 in frontal 3 (F3), 34.33±5.87 vs. 51.71±4.65 in central 3 (C3), 58.37±4.45 vs. 62.95±3.22 in F7, 45.23±2.41 vs. 54.14±2.45 in temporal 3 (T3); DTR (μV²/Hz): 75.21±11.34 vs. 84.12±11.35 in ground electrode (GND), 72.31±21.67 vs. 88.23±10.25 in reference electrode (REF), 81.34±8.57 vs. 92.41±8.56 in F4, 71.25±5.42 vs. 87.23±5.64 in parietal 3 (P3), 70.12±5.88 vs. 85.67±6.12 in P4; all P < 0.05]. However, there was no significant difference in the mean power of five channels before and after treatment in the control group. There was no significant difference in the HAMD score or NIHSS score before treatment between the two groups. The above scores at 14 days after treatment were significantly lower than before, and the decrease was more significant in the observation group (HAMD score: 4.59±1.06 vs. 10.69±0.97, NIHSS score: 6.81±0.66 vs. 8.45±0.87, both P < 0.01). There was no significant difference in the plasma 5-HT, BDNF or peripheral blood NLR before treatment between the two groups. The above parameters at 14 days after treatment were improved as compared with before, and the levels in the observation group were superior to control group [5-HT (mg/L): 150.25±17.37 vs. 123.34±16.18, BDNF (mg/L): 19.37±2.35 vs. 12.48±2.18, NLR: 4.78±0.83 vs. 5.81±1.17, all P < 0.01]. CONCLUSIONS Both ONDS determined by ultrasound and relative α variation score monitored by electroencephalography changed significantly in the patients with ischemic hypoxic encephalopathy. Neurofeedback training can effectively improve brain function in patients with ischemic hypoxic encephalopathy.
Humans ; Electroencephalography ; Prospective Studies ; Neurofeedback ; Optic Nerve/diagnostic imaging* ; Ultrasonography ; Hypoxia-Ischemia, Brain/physiopathology* ; Male ; Female ; Middle Aged

Neurofeedback (NF) technology based on electroencephalogram (EEG) data or functional magnetic resonance imaging (fMRI) has been widely studied and applied. In contrast, functional near infrared spectroscopy (fNIRS) has become a new technique in NF research in recent years. fNIRS is a neuroimaging technology based on hemodynamics, which has the advantages of low cost, good portability and high spatial resolution, and is more suitable for use in natural environments. At present, there is a lack of comprehensive review on fNIRS-NF technology (fNIRS-NF) in China. In order to provide a reference for the research of fNIRS-NF technology, this paper first describes the principle, key technologies and applications of fNIRS-NF, and focuses on the application of fNIRS-NF. Finally, the future development trend of fNIRS-NF is prospected and summarized. In conclusion, this paper summarizes fNIRS-NF technology and its application, and concludes that fNIRS-NF technology has potential practicability in neurological diseases and related fields. fNIRS can be used as a good method for NF training. This paper is expected to provide reference information for the development of fNIRS-NF technology.
Neurofeedback/methods* ; Spectroscopy, Near-Infrared/methods* ; Brain/diagnostic imaging* ; Magnetic Resonance Imaging ; Technology

In order to solve the problems of insufficient stimulation channels and lack of stimulation effect feedback in the current electrical stimulation system, a functional array electrode electrical stimulation system with surface electromyography (sEMG) feedback was designed in this paper. Firstly, the effectiveness of the system was verified through
Electric Stimulation ; Electrodes ; Electromyography ; Feedback ; Female ; Humans ; Male ; Neurofeedback

OBJECTIVES: Insomnia is one of the most prevalent sleep disorders. Recent studies suggest that cognitive and physical arousal play an important role in the generation of primary insomnia. Studies have also shown that information processing disorders due to cortical hyperactivity might interfere with normal sleep onset and sleep continuity. Therefore, focusing on central nervous system arousal and normalizing the information process have become current topics of interest. It has been well known that neurofeedback can reduce the brain hyperarousal by modulating patients' brain waves during a sequence of behavior therapy. The purpose of this study was to investigate effects of neurofeedback therapy on electroencephalography (EEG) characteristics in patients with primary insomnia. METHODS: Thirteen subjects who met the criteria for an insomnia diagnosis and 14 control subjects who were matched on sex and age were included. Neurofeedback and sham treatments were performed in a random order for 30 minutes, respectively. EEG spectral power analyses were performed to quantify effects of the neurofeedback therapy on brain wave forms. RESULTS: In patients with primary insomnia, relative spectral theta and sigma power during a therapeutic neurofeedback session were significantly lower than during a sham session (13.9 ± 2.6 vs. 12.2 ± 3.8 and 3.6 ± 0.9 vs. 3.2 ± 1.0 in %, respectively; p < 0.05). There were no statistically significant changes in other EEG spectral bands. CONCLUSION: For the first time in Korea, EEG spectral power in the theta band was found to increase when a neurofeedback session was applied to patients with insomnia. This outcome might provide some insight into new interventions for improving sleep onset. However, the treatment response of insomniacs was not precisely evaluated due to limitations of the current pilot study, which requires follow-up studies with larger samples in the future.
Arousal ; Automatic Data Processing ; Behavior Therapy ; Brain ; Brain Waves ; Central Nervous System ; Diagnosis ; Electroencephalography ; Follow-Up Studies ; Humans ; Korea ; Neurofeedback ; Pilot Projects ; Sleep Initiation and Maintenance Disorders ; Sleep Wake Disorders

OBJECTIVE: Brain activity is known to be voluntarily controllable by neurofeedback, a kind of electroencephalographic (EEG) operant conditioning. Although its efficacy in clinical effects has been reported, it is yet to be uncovered whether or how a specific band activity is controllable. Here, we examined EEG spectral profiles along with conditioning training of a specific brain activity, theta band (4–8 Hz) amplitude, in rats. METHODS: During training, the experimental group received electrical stimulation to the medial forebrain bundle contingent to suppression of theta activity, while the control group received stimulation non-contingent to its own band activity. RESULTS: In the experimental group, theta activity gradually decreased within the training session, while there was an increase of theta activity in the control group. There was a significant difference in theta activity during the sessions between the two groups. The spectral theta peak, originally located at 7 Hz, shifted further towards higher frequencies in the experimental group. CONCLUSION: Our results showed that an operant conditioning technique could train rats to control their specific EEG activity indirectly, and it may be used as an animal model for studying how neuronal systems work in human neurofeedback.
Animals ; Brain ; Conditioning, Operant ; Electric Stimulation ; Electroencephalography ; Humans ; Medial Forebrain Bundle ; Models, Animal ; Neurofeedback ; Neurons ; Rats

BACKGROUND: We evaluated the effects of neurofeedback as an augmentation treatment on depressive symptoms and functional recovery in patients with treatment-resistant depression (TRD). METHODS: We included 24 adult patients with TRD and 12 healthy adults. 24 TRD patients were assigned to the neurofeedback augmentation group (n = 12) and the medication-only (treatment as usual [TAU]) group (n = 12). The neurofeedback augmentation group underwent combined therapy comprising medication and 12–24 sessions of neurofeedback training for 12 weeks. To assess the serum levels of brain-derived neurotrophic factor (BDNF) in both groups, pre- and post-treatment blood samples were obtained. Patients were evaluated using the Hamilton Depression Rating Scale (HAM-D), Beck Depression Inventory (BDI), Clinical Global Impression-Severity (CGI-S), 5-level version of European Quality of Life Questionnaire 5-Dimensional Classification (EQ-5D-5L), and Sheehan Disability Scale (SDS) at baseline, and at the 1-, 4-, and 12-week. RESULTS: From baseline to week 12, neurofeedback training reduced mean scores on HAM-D, BDI-II, CGI-S, and SDS, and increased mean EQ-5D-5L tariff score. In the neurofeedback augmentation group, the response and remission rates were 58.3% and 50.0%, respectively, at week 12. Changes in HAM-D, EQ-5D-5L tariff score, and SDS were significantly larger in the neurofeedback group than in the medication-only (TAU) group. No significant difference in BDNF level was found pre- vs. post-treatment in any of the groups. CONCLUSION: Despite the small sample size, these results suggest that neurofeedback treatment may be effective as an augmentation treatment, not only for depressive symptoms, but also for functional recovery, in patients with TRD. TRIAL REGISTRATION: Clinical Research Information Service Identifier: KCT0004183 ClinicalTrials.gov Identifier: NCT04078438
Adult ; Brain-Derived Neurotrophic Factor ; Classification ; Depression ; Depressive Disorder, Major ; Humans ; Information Services ; Neurofeedback ; Pilot Projects ; Quality of Life ; Sample Size

No abstract available.
Brain ; Neurofeedback

Tinnitus is defined as a perception of sound without any external sound source. Chronic tinnitus is a frequent condition that can affect the quality of life. So far, no causal cure for tinnitus has been documented, and most pharmacologic and psychosomatic treatment modalities aim to diminish tinnitus' impact on the quality of life. Neuromodulation, a novel therapeutic modality, which aims at alternating nerve activity through a targeted delivery of a stimulus, has emerged as a potential option in tinnitus treatment. This review provides a brief overview of the current neuromodulation techniques as tinnitus treatment options. The main intention is to provide updated knowledge especially for medical professionals counselling tinnitus patients in this emerging field of medicine. Non-invasive methods such as repetitive transcranial magnetic stimulation, transcranial electrical stimulation, neurofeedback, and transcutaneous vagus nerve stimulation were included, as well as invasive methods such as implanted vagus nerve stimulation and invasive brain stimulation. Some of these neuromodulation techniques revealed promising results; nevertheless, further research is needed, especially regarding the pathophysiological principle as to how these neuromodulation techniques work and what neuronal change they induce. Various studies suggest that individually different brain states and networks are involved in the generation and perception of tinnitus. Therefore, in the future, individually tailored neuromodulation strategies could be a promising approach in tinnitus treatment for achieving a more substantial and longer lasting improvement of complaints.
Deep Brain Stimulation/methods* ; Humans ; Neurofeedback/methods* ; Tinnitus/therapy* ; Transcranial Direct Current Stimulation/methods* ; Transcranial Magnetic Stimulation/methods* ; Vagus Nerve Stimulation/methods*