Neurofeedback Research Articles

Evaluation of a manualised neurofeedback training in psychosomatic-psychotherapeutic outpatient treatment (Neuro-pp-out): study protocol for a clinical mixed-methods pilot study

IntroductionElectroencephalographic neurofeedback (NFB), as a non-invasive form of brainwave training, has been shown to be effective in the treatment of various mental health disorders. However, only few results regarding manualised...

Functional and structural connectivity success predictors of real-time fMRI neurofeedback targeting DLPFC: Contributions from central executive, salience, and default mode networks.

Real-time functional magnetic resonance imaging (rt-fMRI) neurofeedback (NF), a training method for the self-regulation of brain activity, has shown promising results as a neurorehabilitation tool, depending on the ability of the patient to succeed in neuromodulation. This study explores connectivity-based structural and functional success predictors in an NF n-back working memory paradigm targeting the dorsolateral prefrontal cortex (DLPFC). We established as the NF success metric the linear trend on the ability to modulate the target region during NF runs and performed a linear regression model considering structural and functional connectivity (intrinsic and seed-based) metrics. We found a positive correlation between NF success and the default mode network (DMN) intrinsic functional connectivity and a negative correlation with the DLPFC-precuneus connectivity during the 2-back condition, indicating that success is associated with larger uncoupling between DMN and the executive network. Regarding structural connectivity, the salience network emerges as the main contributor to success. Both functional and structural classification models showed good performance with 77% and 86% accuracy, respectively. Dynamic switching between DMN, salience network and central executive network seems to be the key for neurofeedback success, independently indicated by functional connectivity on the localizer run and structural connectivity data.

Neurofeedback treatment for Attention Deficit Hyperactivity Disorder in adults

IntroductionAttention-deficit/hyperactivity disorder (ADHD) is one of the most prevalent neurodevelopment disorders in the world. Clinical guidelines for ADHD recommend multimodal treatment approaches, with current evidence suggesting that medication, including methylphenidate and various amphetamine formulations, in conjunction with psychosocial treatment are most effective in the short-term and long term. Over the last decade, an increasing number of studies investigating non-pharmacological treatments have been published, such as cognitive therapy, Neurofeedback (NF), Transcranial direct current stimulation with the aim of treating ADHD patients.ObjectivesWe comprehensively reviewed literature searching for studies on the effectiveness and specificity of NF for the treatment of ADHD. The aim of this review is to understand if there is scientific evidence in using of electroencephalogram (EEG)-Neurofeedback for treating patients with ADHD.Methods We did a non systemathic review using pubmed and google schoolar databases in order to analyze the influence and effects of therapy in patients diagnosed with ADHD and under treatment based on EEG Neurofeedback. We analyzed 18 systhematic reviews and metha-analysis and 2 case control studies.Results Accourding to the systhematic reviews results showed positive and significant effects in the visual memory, attention and visual recognition (spatial working memory). EEG also showed improvement in upper alpha activity in a resting state (open-eyed) measured from the occipital area, which similarly indicated improvement in the cognitive domain (attention). Compared to non-active control treatments, NF appears to have more durable treatment effects, for at least 6 months following treatment.Conclusions In conclusion, it is possible to affirm that a neuromodulating effect of the therapy positively influences cognitive processes, mood, and anxiety levels in patients with ADHD and is associated with significant long-term reduction in symptoms. Though limitations exist regarding conclusions about the specific effects of NF, the review documents improvements in school, social, and family environments. However, future efforts should focus on implementing standard neurofeedback protocols, ensuring learning, and optimizing clinically relevant transfer and more studies are needed for a properly powered comparison of follow-up effects between NF and active treatments and to further control for non-specific effects.Disclosure of InterestNone Declared

Virtual reality and neurofeedback as a supportive approach to managing cancer symptoms for patients receiving treatment: A brief report of a feasibility trial.

Managing cancer symptoms while patients receive systemic treatment remains a challenge in oncology. The use of complementary and alternative medicine (CAM) approaches like virtual reality (VR) and neurofeedback (NF) in tandem with systemic treatment might reduce symptom burden for patients. The combination of VR + NF as a CAM intervention approach is novel and understudied, particularly as it relates to supportive cancer care. The purpose of this study is to summarize our VR + NF study protocol and share preliminary results regarding study retention (across 2 treatment sessions) and preliminary impact of VR or VR + NF on patient-reported outcomes such as anxiety and pain. We utilized a parallel arm trial design to compare preliminary impact of VR only and VR + NF on cancer symptoms among patients who are actively receiving cancer treatment. Sixty-seven percent (n = 20) of participants returned to participate in a second VR session, and the rates of return were the same between the VR groups. Patients in the VR + NF group showed improvements in anxiety after both sessions, while patients in the VR only group showed significant improvements in pain and depression after both sessions. Patients in the VR + NF group showed improved pain after session 1. This study demonstrates that patients can be retained over multiple treatment sessions and that VR and NF remain promising treatment approaches with regard to impact on patient-reported outcomes like anxiety and pain.

Accelerating P300-based neurofeedback training for attention enhancement using iterative learning control: a randomised controlled trial

Objective. Neurofeedback (NFB) training through brain–computer interfacing has demonstrated efficacy in treating neurological deficits and diseases, and enhancing cognitive abilities in healthy individuals. It was previously shown that event-related potential (ERP)-based NFB training using a P300 speller can improve attention in healthy adults by incrementally increasing the difficulty of the spelling task. This study aims to assess the impact of task difficulty adaptation on ERP-based attention training in healthy adults. To achieve this, we introduce a novel adaptation employing iterative learning control (ILC) and compare it against an existing method and a control group with random task difficulty variation. Approach. The study involved 45 healthy participants in a single-blind, three-arm randomised controlled trial. Each group underwent one NFB training session, using different methods to adapt task difficulty in a P300 spelling task: two groups with personalised difficulty adjustments (our proposed ILC and an existing approach) and one group with random difficulty. Cognitive performance was evaluated before and after the training session using a visual spatial attention task and we gathered participant feedback through questionnaires. Main results. All groups demonstrated a significant performance improvement in the spatial attention task post-training, with an average increase of 12.63%. Notably, the group using the proposed iterative learning controller achieved a 22% increase in P300 amplitude during training and a 17% reduction in post-training alpha power, all while significantly accelerating the training process compared to other groups. Significance. Our results suggest that ERP-based NFB training using a P300 speller effectively enhances attention in healthy adults, with significant improvements observed after a single session. Personalised task difficulty adaptation using ILC not only accelerates the training but also enhances ERPs during the training. Accelerating NFB training, while maintaining its effectiveness, is vital for its acceptability by both end-users and clinicians.

The Effectiveness of Neurofeedback on Improving Social Interactions and Activity of Daily Living in Children with Autism Spectrum Disorder: A Narrative Review

Context: Impairment in social interactions and daily activities of autism spectrum disorder (ASD) patients is one of the negative and important consequences of ASD. Recently, the use of non-pharmacological methods to improve behavior and rehabilitation in patients with ASD has attracted the attention of researchers and specialist physicians. According to the mentioned topic, This study aimed to evaluate the effectiveness of neurofeedback (NF) in improving social interactions and activity of daily living (ADL) in children with ASD. Evidence Acquisition: This narrative review obtained the desired results by collecting previous similar studies related to the study's primary purpose. First, 182 articles were extracted through the search of MeSH (medical subject headings) terms associated with the particular objectives of the study in international reliable databases. Then, twenty-five studies were selected as final studies considering the inclusion and exclusion criteria. Results: The results of the present study showed that NF can help to improve the performance of children with ASD through brain waves as a new treatment method based on conditioning and reinforcement. NF helps identify cognitive problems and improve cognitive processes in autistic children by improving self-regulation of the brain. In addition, NF leads to better cognitive performance by increasing beta waves and decreasing theta waves. On the other hand, increasing beta waves increases alertness, concentration, and metabolism, which can improve cognitive and social functioning. Conclusions: Based on the results, NF has a positive and significant effect in improving social interactions and ADL in children with autism spectrum disorder. Therefore, this method should be used to improve behavioral disorders and strengthen the ADL of patients with ASD, considering the side effects of pharmacological intervention methods.

Effect of biofeedback intervention on neurological characteristics of children with attention deficit hyperactivity disorder

Objective To evaluate the effects of biofeedback intervention on the neurological characteristics of children with attention deficit hyperactivity disorder (ADHD). Methods 150 children aged 6–12 years with ADHD were divided into two groups according to the treatment method. The atomoxetine group received atomoxetine drug treatment, and the combined treatment group received EEG biofeedback therapy. Continuous performance test (CPT), SNAP-IV and WFIRS-P were used to assess attention and behavior, and functional magnetic resonance imaging (fMRI) was used to observe changes in brain activity. Results The response time, error times, error response rate and attention fluctuation index of CPT in the combined treatment group were significantly lower than those in the atomoxetine group (p < 0.05), and the correct response rate was higher than that in the atomoxetine group (p < 0.05). After intervention, SNAP-IV and WFIRS-P scores in the combined treatment group were significantly lower than those in the atomoxetine group (p < 0.001). fMRI results showed that the activity of the prefrontal, parietal, amygdala and hippocampus in the combined treatment group was significantly higher than that in the atomoxetine group (p < 0.001). Conclusion Biofeedback intervention can significantly improve the attention and behavior of ADHD children and positively regulate the neural activity in related brain areas on the basis of drug treatment, suggesting that biofeedback therapy can be considered as a potential effective nondrug treatment option for ADHD children.

Influence of a placebo tDCS treatment on cybersickness and EEG-neurofeedback success

Virtual Reality (VR) serves as a modern and powerful tool within the domain of neurofeedback (NF). Users can learn how to alter their own brain activation with the help of NF, for example visual feedback. VR can help to make the training more engaging and motivating with its immersive nature. However, cybersickness (CS) poses a serious problem, as it negatively affects up to 80% of all VR users. Especially women seem to be affected. Some studies suggest positive effects of placebo interventions, so that less CS in the users can be detected. Hence, we investigated whether a transcranial direct current stimulation (tDCS) placebo intervention can influence CS symptoms in a VR-based NF training and whether CS affects NF performance. Additionally, we focused on possible sex differences in the development of CS and the NF success. For this purpose, we tested 41 healthy participants in an EEG-NF-training with sensorimotor rhythm (SMR, 12–15 Hz) upregulation and VR feedback. Half of the participants got a placebo tDCS stimulation in advance to the training and were told that the stimulation would prevent them from getting cybersick. The other half received no such treatment. Both groups underwent six NF runs to three minutes each where they were asked to follow a ball along a predefined path in the virtual environment by increasing their SMR. Results showed that women experienced significantly more CS than men regardless of whether they received a placebo intervention or not. Women were also not able to increase their SMR successfully over the six NF runs. Male participants were able to increase their SMR. Also, only participants in the non-placebo group were able to increase their SMR, not those from the placebo group. The tDCS placebo intervention had little to no effect on sickness symptoms in VR, however it hampered the ability to increase SMR power. Also, CS seems to be associated with a worse NF training outcome, especially in women. Strategies to reduce CS inducing factors in VR environments could help participants to benefit more from a VR-based NF training. This should be especially considered in vulnerable groups that are more prone to CS.

Effectiveness of Electroencephalography Neurofeedback for Improving Working Memory and Episodic Memory in the Elderly: A Meta-Analysis.

Background and Objective: Existing evidence indicates the potential benefits of electroencephalography neurofeedback (NFB) training for cognitive function. This study aims to comprehensively review all available evidence investigating the effectiveness of NFB on working memory (WM) and episodic memory (EM) in the elderly population. Material and Methods: A systematic search was conducted across five databases to identify clinical trials examining the impact of NFB on memory function in healthy elderly individuals or those with mild cognitive impairment (MCI). The co-primary outcomes focused on changes in WM and EM. Data synthesis was performed using a random-effects meta-analysis. Results: Fourteen clinical trials (n = 284) were included in the analysis. The findings revealed that NFB was associated with improved WM (k = 11, reported as Hedges' g = 0.665, 95% confidence [CI] = 0.473 to 0.858, p < 0.001) and EM (k = 12, 0.595, 0.333 to 0.856, p < 0.001) in the elderly, with moderate effect sizes. Subgroup analyses demonstrated that NFB had a positive impact on both WM and EM, not only in the healthy population (WM: k = 7, 0.495, 0.213 to 0.778, p = 0.001; EM: k = 6, 0.729, 0.483 to 0.976, p < 0.001) but also in those with MCI (WM: k = 6, 0.812, 0.549 to 1.074, p < 0.001; EM: k = 6, 0.503, 0.088 to 0.919, p = 0.018). Additionally, sufficient training time (totaling more than 300 min) was associated with a significant improvement in WM (k = 6, 0.743, 0.510 to 0.976, p < 0.001) and EM (k = 7, 0.516, 0.156 to 0.876, p = 0.005); however, such benefits were not observed in groups with inadequate training time. Conclusions: The results suggest that NFB is associated with enhancement of both WM and EM in both healthy and MCI elderly individuals, particularly when adequate training time (exceeding 300 min) is provided. These findings underscore the potential of NFB in dementia prevention or rehabilitation.

Effectiveness of Low-Resolution Brain Electromagnetic Tomography Z Score Neurofeedback Comparison with Cognitive Rehabilitation in Depression and Anxiety in Opioid Use Disorder.

Background: Previous studies have shown that conventional neurofeedback (NFB) and cognitive rehabilitation can improve psychological outcomes in people with opioid use disorders (OUDs). However, the effectiveness of Low-Resolution Brain Electromagnetic Tomography (LORETA) Z-score neurofeedback (LZNFB) and attention bias modification training (ABMT) on depression and anxiety of these people has not been investigated yet. The present study aims to compare the effect of these two methods on depression and anxiety of men with OUD under methadone maintenance therapy (MMT). Methods: In this randomized controlled clinical trial with a pre-test, post-test, and follow-up design, 30 men with OUD under MMT were randomly assigned into three groups of LZNFB, ABMT, and control (MMT alone). The LZNFB group underwent LZNFB at 20 sessions. The ABMT using the dot-probe task was provided individually to the second group for 2 weeks at 15 sessions. The Beck Anxiety Inventory and the Beck Depression Inventory were completed by the participants before, immediately after, and 1-month after interventions. The collected data were analyzed in SPSS v.22 software. Results: Both intervention groups showed a significant reduction in anxiety and depression at the post-test phase (p < 0.05), where LZNFB group showed more decrease in anxiety and depression than the ABMT group. This decrease continued in the follow-up period. Conclusion: Both LZNFB and ABMT with the dot-robe task are effective in reducing depression and anxiety of men with OUD under MMT. However, LZNFB is more effective. These findings add to the growing body of literature supporting the effectiveness of NFB and cognitive rehabilitation therapy in treating addiction-related comorbidities.

A diffusion decision model analysis of the cognitive effects of neurofeedback for ADHD.

To examine cognitive effects of neurofeedback (NF) for attention-deficit hyperactivity disorder (ADHD) as a secondary outcome of a randomized clinical trial. In a double-blind randomized clinical trial (NCT02251743), 133 7-10-year olds with ADHD received either 38 sessions of NF (n = 78) or control treatment (n = 55) and performed an integrated visual and auditory continuous performance test at baseline, mid- and end-treatment. We used the diffusion decision model to decompose integrated visual and auditory continuous performance test performance at each assessment into cognitive components: efficiency of integrating stimulus information (v), context sensitivity (cv), response cautiousness (a), response bias (z/a), and nondecision time for perceptual encoding and response execution (Ter). Based on prior findings, we tested whether the components known to be deficient improved with NF and explored whether other cognitive components improved using linear mixed modeling. Before NF, children with ADHD showed main deficits in integrating stimulus information (v), which led to less accurate and slower responses than healthy controls (p = .008). The NF group showed significantly more improvement in integrating auditory stimulus information (v) than control treatment (significant group-by-time-by-modality effect: p = .044). NF seems to improve v, deficient in ADHD. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Down-regulation of theta amplitude through neurofeedback improves executive control network efficiency in healthy children

Despite extensive clinical research on neurofeedback (NF) in attention-deficit/hyperactivity disorder (ADHD), few studies targeted the optimization of attention performance in healthy children. As a crucial component of attention networks, the executive control network, involved in resolving response conflicts and allocating cognitive resources, is closely linked to theta activity. Here, we aimed to answer whether theta down-regulating NF can enhance healthy children's attention performance, especially the executive control network. Sixty children aged 6–12 years were randomly assigned to the NF and waitlist control groups. The NF group received theta down-regulation NF training for five days (a total of 100 mins), and the attention performance of both groups was measured by the attention network test (ANT) in the pre, post-NF, and 7-day follow-up. The electroencephalographic (EEG) results demonstrated a significant decrease in resting-state theta amplitude within sessions. For the behavioral results, the NF group exhibited significant improvements in overall attention performance and the efficiency of the executive control network relative to the control group in the post-NF and follow-up assessment, whereas the alerting and orienting networks remained unchanged. These findings proved the feasibility of theta down-regulating NF and its positive effect on attention in the healthy children population. In particular, the facilitation of the efficiency of the executive control network and the unaltered performance of the other two attention networks in the NF group may support the causality between theta rhythm and the executive control network.

Effect of Neurofeedback Training Along With Swimming Exercise on the Stress, Anxiety, Depression, Severity of Dependence, and Craving in Methamphetamine-Dependent Patients

This study investigated whether neurofeedback (NFB) training and swimming exercise (Swim) would reduce the stress, anxiety, depression, severity of dependence, and cravings in patients addicted to methamphetamines. Participants were allocated randomly to four groups: control group, NFB, Swim, and NFB/Swim. All groups completed the study questionnaire before and after treatment. The NFB, Swim, and NFB/Swim groups reported significantly less stress, cravings, and severity of dependence than the control group. The Swim and NFB/Swim groups had significantly lower depression scores than the control group. Also, the NFB/Swim group experienced less anxiety than the control group. However, the NFB/Swim group had lower levels of stress than the Swim group, and lower levels of anxiety and severity of dependence than the NFB group. These findings suggest that NFB training along with swimming exercise was effective in managing methamphetamine-related behavioral disturbances, which may help patients to manage their cravings.

Cognitive effects of brief and intensive neurofeedback treatment in schizophrenia: a single center pilot study.

Schizophrenia is characterized by significant cognitive impairments and affects up to 98% of patients. Neurofeedback (NF) offers a means to modulate neural network function through cognitive processes such as learning and memorization, with documented structural changes in the brain, most notably an increase in grey matter volume in targeted regions. The present 2-week, open-label, preliminary study aims to evaluate the efficacy on cognition of an adjunctive short and intensive (8 daily sessions lasting 30 minutes) alpha/theta NF training in a sample of subjects affected by schizophrenia on stabilized treatment with atypical antipsychotic drugs. The efficacy was measured at baseline and at the end of the study by the Brief Neuropsychological Examination 2 (ENB 2), the Mini Mental State Examination (MMSE), and the Stroop color-word interference test; the clinical symptoms were assessed using the Positive and Negative Syndrome Scale (PANSS). A final sample of nine patients completed the study. Regarding the cognitive performance, at the final assessment (week 2), the NF treatment significantly improved the performance in the "Story Recall Immediate" (p = 0.024), "Story Recall Delayed" (p = 0.007), "Interference Memory 30 s" (p = 0.024), "Clock Test" (p = 0.014) sub-tests, and the ENB2 Total Score (p = 0.007). Concerning the clinical symptoms, no significant changes were observed in the PANSS subscales and the PANSS Total score. NF could represent an adjunctive treatment strategy in the therapeutic toolbox for schizophrenia cognitive symptoms.

Neurofeedback in the treatment of cognitive impairment in patients with early cerebral small vessel disease

To compare the effectiveness of neurofeedback (NFB) at infra-low and alpha frequencies in the treatment of cognitive impairment in patients with early cerebral small vessel disease (cSVD). The study included 71 patients (average age 52.8±6.3 years, men 15%, women 85%) with early cSVD and 21 healthy volunteers (average age 53.2±4.8 years, men 29%, women 71%). All participants were assessed for clinical manifestations and cognitive functions, brain MRI, and EEG. cSVD patients were randomized by an envelope method with double-blind placebo control. Three groups of neurofeedback were formed: infra-low waves (n=25), alpha waves (n=22), simulated neurofeedback using EEG (placebo) (n=24). Fifteen sessions of 30 minutes were conducted 2-5 times a week. The cognitive profile and EEG were assessed immediately and 6-8 weeks after completion of the neurofeedback course. Patients with early cSVD had subjective (65%) and moderate (35%) cognitive impairment with predominant deviations in the components of executive brain functions (EBF). Neurofeedback using infra-low waves significantly improved EBF in the components of productivity, switching and inhibition, non-verbal delayed memory immediately after the course, maintaining the effect for at least 6-8 weeks, which was accompanied by an increase in the power (μB2) of the alpha rhythm in the occipital regions. Neurofeedback using alpha waves showed improvement in the Stroop test (interference index) in the delayed period. In patients with early cSVD and deterioration of EBF, it is preferable to conduct biofeedback neurotraining at infra-low frequencies to treat cognitive impairment and create a cognitive reserve. An increase in the power of the alpha rhythm in the occipital regions during the course can be considered a prognostic marker of its effectiveness.

EFFICACY OF NON-PHARMACOLOGICAL APPROACHES TO IMPROVE SLEEP QUALITY INDICES IN POST-STROKE INSOMNIA PATIENTS

Background: Post-stroke insomnia (PSI) is a highly prevalent complication of stroke. Clinical manifestations of PSI include non-refreshing, non-restorative sleep quality and short sleep duration, leading to stroke recovery impediment, cognitive, emotional, and daytime dysfunction, and poor quality of life in stroke patients. PSI can be treated with medications, but studies have reported various adverse effects of hypnotic drugs in PSI. Objective: This study explores non-pharmacological treatments for their efficacy to improve sleep quality in PSI patients. Methods: An electronic search in Medline, Google Scholar, Elsevier, Directory of Open Access Journals (DOAJ), and Semantic Scholar was performed to identify studies examining the efficacy of non-pharmacological approaches to PSI. Results: A total of ten studies examining the efficacy of non-pharmacological approaches to PSI were reviewed. The characteristics of PSI patients in these studies comprised the older population typically at several months after suffering commonly from ischemic type stroke. The evaluated treatments are EEG biofeedback, acupuncture, cognitive-behavioral therapy (CBT), light therapy, and repeated transcranial magnetic stimulation (rTMS). All treatments successfully improved sleep quality, insomnia symptoms, and quality of life in stroke patients as assessed by various measurements including PSQI and actigraphy. Only mild adverse events were reported following acupuncture, such as local hematoma and hand numbness. Conclusion: Non-pharmacological approaches can be considered efficacious in improving sleep quality index, insomnia symptoms, and quality of life of PSI patients. Furthermore, they do not cause severe or long-lasting adverse effects, thus deemed safe for stroke patients.

The impact of EEG biofeedback training on the athletes' motivation and bench press performance.

The objective of this paper was to determine the impact of EEG-biofeedback training on the motivation and efficiency of powerlifters during the bench press exercise in relation to the external load and the level of training. The study included 18 trained powerlifters who were divided into the intermediate (IG) and the advanced (AG) groups. EEG-biofeedback training was conducted every three days, lasting 27 minutes each time (5 × 3-minute intervals with recovery periods - lying on a bench - between them 4 × 3 minutes), and ended with a final EEG measurement in the second cycle of research. The repeated measures ANOVA showed intra-group differences due to external loading for the FAI (Frontal Alpha Asymmetry) obtained in the EEG both before and after biofeedback training. In AG group analysis revealed significant differences between 65%1RM and 35%1RM. In the IG group between 35%1RM and 50, 65 and 80%1RM. One of the major variables influencing the efficiency of strength training, including bench press workouts, is the level of training. The more successfully an athlete uses motivation when exercising, the better their training, which translates into greater results and a lower chance of injury.

The influence of EEG-biofeedback training and Beta waves in normoxia and normobaric hypoxia on the bench press in judo athletes

The aim of this study was to assess the effect of EEG -Biofeedback training in normoxic and normobaric hypoxic conditions on bench press improving in elite judo athletes. The study included 20 male elite judo athletes. Each athlete was a member of the Polish National Team and held either an International Master Class (MM) or National Master Class (M) – purposive selection. The research was carried out over two cycles that differed in the external conditions of EEG biofeedback trainings for both the control and experimental groups. The experimental group underwent training under simulated hypoxic conditions The training sessions for the experimental group were conducted at a simulated altitude of 3000m above sea level. Each cycle of the study comprised of 15 training sessions. The control group's study followed the same frequency, and duration of EEG biofeedback training sessions, and demonstrated an identical pattern to that of the experimental group, but in normoxia conditions. In the discussed cycle conducted in hypoxia, a clear upward dynamics of Beta wave values with a growing trend from session 14 was observed. In normoxia, the variability in the EG group had a significantly less dynamic course. In hypoxia, a clear upward dynamics of the achieved PP values with a growing trend from measurement 14 was observed. In normoxia, the discussed measurement cycle conducted in the CG group showed a lesser upward dynamics of achieved PP values with a growing trend from measurement 10. The overall conclusion from these analyses suggests that EEG biofeedback training in hypoxic conditions may have a beneficial impact on brain activity and improvement in muscle strength and power. These results may be of significant importance for sports training and rehabilitation, especially for individuals engaged in sports disciplines requiring physical exertion in low oxygen environments.

Influence of Beta and Theta waves as predictors of simple and complex reaction times in examined groups of judo athletes during the Vienna test

Introduction: This research aimed to investigate which waves, Theta or Beta, are significant predictors of visual simple and complex reaction times during the Vienna test, using regression modeling. The research material comprised the test results of male judo athletes (n = 24), selected through mixed sampling (purposive and random). The study was conducted in two cycles, differentiated by frequency but with the same duration of EEG biofeedback sessions, in both the control and experimental groups. The first cycle of the study consisted of 15 sessions held every other day. Each training session lasted for 4 minutes. The second series of studies, which took place after a six-week break, was characterized by a higher frequency of meetings (daily), with the duration of one training session remaining the same as in the previous cycle, i.e., 4 minutes. The impact of neurofeedback training on the visual reaction speed of judo athletes was verified using selected samples from the Vienna Test System (VTS). The study revealed that athletes from the experimental group, as a result of implementing the beta1/theta protocol, statistically significantly improved their simple and complex reaction times after each training cycle. Similar changes were not observed in the control group. The results suggest that neurofeedback training may significantly improve reaction skills in a sports context. However, for a fuller understanding and confirmation of these effects, further well-controlled studies are necessary.

Pilot Study of Prism EFP NeuroFeedback in Adult ADHD

Objective: A pilot study to preliminarily examine the effects of Prism EFP NeuroFeedback (NF) in adult ADHD. Method: Prism EFP NF is a form of NF specifically designed to target emotional dysregulation (ED) through down regulation of amygdala activity. Prism EFP NF has been shown to improve other disorders with significant ED. Nine participants with adult ADHD received an open trial of Prism EFP NF consisting of fifteen sessions over 8 weeks; all completed at least 5 weeks of treatment with seven completing all 8 weeks. Outcomes were assessed by change in ADHD symptoms from baseline to End of Treatment. Results: About two-third reduction was seen in total DSM ADHD symptom scores (primary outcome measure) with improvement observed in all other clinical measures. No significant adverse events were seen. Conclusion: This preliminary trial found substantial effects of Prism EFP NF on ADHD/ED symptoms and global impairment.