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This study aimed to analyze the effect of eight weeks of neurofeedback training to increase the stress tolerance level of swimmers the current researchers examined six all-India inter-university male swimmers. For the pre-test and post-test data on stress tolerance of swimmers, the current author used the computer-based, pre-designed "Determination Test" on the Schuhfried "Vienna Test System", and the alpha and beta training was provided by the pre-designed Med-Life biofeedback/neurofeedback system. Swimmers go-through under rigorous training cycle andat the time of the race, and to reduce that stress, the current author conducted this study on swimmers and found the difference in the mean of the pre-test, i.e., 27.67, while the post-test mean was 59.5;hence, the value of the t-statistic(5.338) is also significant to its corresponding p-value, i.e., 0.003, which is less than 0.05, which shows the significant difference between the pre-test and post-test, thus leading the current authors conclude that there was a significant improvement in the swimmers' perception of their stress tolerance level and, it shows that the 21 tutelage sessions were effective in increasing the swimmers' stress tolerance level, which can help the swimmers maintain an optimal state at the time of the race.Copyright © 2023, Anka Publishers. All rights reserved.
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Background: Case study: Conclusion(s): The purpose of the study was twofold: (1) to present post-COVID-19 syndrome, which involves a variety of ongoing neurological, neuropsychiatric, neurocognitive, emotional and behavioral disorders resulting from SARS-CoV-2 infection followed by a severe course of COVID-19 treated in long term pharmacologically induced coma in a visual artist, which impacted on her artwork;(2) to present QEEG/ERP results and neuropsychological testing results in the evaluation of the effectiveness of a comprehensive neurotherapy program, with individualized EEG-Neurofeedback, and art-therapy in the reduction of post-COVID-19 syndrome in this artist. Ms. G., 42, a visual artist, portraitist, with good health, became ill in May 2022. Allegedly flu symptoms appeared first. After a few days, shortness of breath joined in. The PCR test for SARS-CoV-2 was positive. The patient was hospitalized, referred to the ICU, put on a respirator and treated over 11days of a pharmacologically induced coma. Two months after leaving hospital the patient developed post-COVID-19 syndrome. She was diagnosed by an interdisciplinary team: a neurologist, neuropsychiatrist and neuropsychologist. A PET scan of her brain revealed extensive changes involving a loss of metabolism in various brain areas. The presence of complex post-COVID, neurological, neuropsychiatric, neurocognitive, emotional and behavioral disorders was found and a neuropsychiatrist suggested a diagnosis of post-COVID schizophrenia. She was refered to the Reintegration and Training Center of the Polish Neuropsychological Society.We tested the working hypothesis as to the presence of schizophrenia and there was no reduction in the difference of ERPs waves under GO/NOGO task conditions, like in the reference group with schizophrenia (see also Pachalska, Kaczmarek and Kropotov 2021). The absence of a functional neuromarker for schizophrenia allowed us to exclude this diagnosis and to propose a new disease entity, that being post-COVID-19 syndrome. She received a comprehensive two-component program of neurotherapy: (1) program A consisting in goal-oriented neuropsychological rehabilitation, including art therapy (see also: Pachalska 2008;2022b), and (2) program B, based on the most commonly used form of EEG-Neurofeedback: frequency/ power EEG-Neurofeedback, using 2 bipolar surface electrodes, with the protocols written for her specific needs (see also Thompson & Thompson 2012;Kropotov 2016). The comprehensive neurotherapy program lasted 10 weeks, EEG Neurofeedback and art therapy classes were conducted 3 times a week for 45 minutes each. We found that after the completion of the comprehensive neurotherapy program there was a statistically significant reduction in high beta activity compared to the normative HBI database, which is associated with a reduction of anxiety. Also, we observed the improvement of neurocognitive functioning in neuropsychological testing (a significant reduction of anxiety and a noticeable improvement in neurocognitive functions). It should be stressed that the artist was happy that she had regained the ability to create, and even sells her artwork, although her style of painting had changed. Almost all the neurological, psychiatric, neurocognitive, emotional and behavioral disturbances, were reduced in their severity. The artist showed marked improvement and was able to return to painting. The artwork she produced after her illness is in high demand with art collectors. It can be also helpful in the reintegration of the Self System, and the improvement in her quality of life. Human Brain Index (HBI) methodology might be very useful in diagnosing and developing therapies for patients with post-COVID-19 syndrome.Copyright © 2023, MEDSPORTPRESS Publishing House. All rights reserved.
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Mental health disorders such as depression and anxiety affect one in five adults in the United States. According to the 2019 National Survey on Drug Use and Health (NSDUH), non-serious mental illnesses are found in 30.6% of young adults aged 18-25 years old and 25.3% of adults aged 26-49 years old. In 2020, the NSDUH found that only 44.8% of all adults living with non-serious mental illnesses sought treatment. In 2020 and 2021 with the rise of the COVID-19 pandemic, 41.5% of US adults reported to have been struggling symptoms of an anxiety of depressive disorder. With this added burden, the increase in social isolation during the pandemic, and unknown long term psychological effects of the past year and a half, the need for an effective remote psychotherapy treatment is even more evident. The objective of this research is to address the growing need for a remote psychotherapy solution that is both accessible for isolated patients and effective. One approach to therapeutic healing that is standard in counseling psychology is the use of psychotherapy based on common factors theory. This theory poses that there are several common factors that need to be addressed for healing to occur. This research focuses on two of the common factors that are most difficult to reproduce in remote psychotherapy: the therapeutic alliance and the therapeutic environment. We hypothesize that the use of a virtual reality (VR) and neurofeedback based psychotherapy system specifically designed based on common factors theory will lead to better performance in the therapeutic alliance between therapists and patients and ultimately, better outcomes for remote psychotherapy patients. The following specific aims address this hypothesis:Specific Aim 1: Design and Develop a Common Factors Based Virtual Reality Therapy for Remote Psychotherapy Applications. A full common factors based VR psychotherapy system was developed using Unity3D, Autodesk Maya, and MATLAB. Key components of the design include three virtual environments designed based on key elements of restorative environments (Forest World, Log Cabin, and Freud Therapist Office), two therapist avatars based on Jungian archetypes for healing (Woman Healer, Sage), a neurofeedback system using electroencephalography (EEG), a therapist interface, and a patient interface. Success was measured based on the prototype's ability to be a fully functional remote psychotherapy treatment, its adherence to restorative environments design elements, and its adherence to Jungian archetypes design elements.Specific Aim 2: Determine the functionality and usability of the novel common factors based VR therapy system for therapists. The first step to determining the efficacy of a novel treatment system in psychotherapy is to analyze the functionality and usability of the treatment for therapists. Specifically, this study examined if therapists are able to effectively use this system for the remote treatment of depression and general anxiety. A proof of concept study was conducted with 21 observing counselors in training to examine the functionality and usability of the VR enhanced therapy system for therapists. The session was conducted with a professional therapist and a patient using the VR system in another room. Measures from this study will include the 1. Client Reactions Systems, 2. Perceived Restorative Scale, 3. Session Evaluation Questionnaire, and 4. Presence Questionnaire. Success will be determined by examining the neutral score for each these metrics, and comparing the scores received by therapists to the average. The treatment was considered successful if the novel VR treatments preforms as well or better than the average across all metrics.Specific Aim 3: Determine the functionality and usability of the novel common factors based VR therapy system for patients. (PsycInfo Database Record (c) 2023 APA, all rights reserved)
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Introduction: The incomplete effectiveness of interventions demands new ways to help people diagnosed with schizophrenia who experience auditory verbal hallucinations (SZ-AVH). We aimed to perform a feasibility study of low-resolution electromagnetic tomography analysis (LORETA) neurofeedback with people exhibiting treatment-resistant SZ-AVH. Method(s): We examined changes in resting-state quantitative electroencephalogram (qEEG) in four people with SZ-AVH (three male, one female) after LORETA Z-score neurofeedback training. Result(s): The study design had to be amended due to a national COVID-19 lockdown. Neurofeedback was well tolerated and no participants dropped out. Recruitment was the main feasibility issue. Barriers included a lack of knowledge of neurofeedback by patients and mental health teams, as well as the travel and time commitment involved. For the only patient who completed all 20 sessions, elevated frontal, central, and temporal theta absolute power measured at baseline normalized after treatment, but decreased temporal delta and an increase in coherence for all frequency bands were also found. Conclusion(s): Two key lessons were drawn for the feasibility of trials of EEG neurofeedback in this population. First, significant effort is needed to educate mental health professionals and patients about neurofeedback. Second, the equipment employed for neurofeedback training needs to be physically based at a site where patients routinely attend.Copyright © 2022. Amico et al.
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The proceedings contain 53 papers. The topics discussed include: clinical study of lurasidone combined with nutritional intervention strategy in the treatment of chronic schizophrenia;analysis of clinical medication scheme and nursing measures of acute stress disorder complicated with delirium under the COVID-19;a study on the mental state of prisoners near the end of their sentence caused by a psychological anxiety case;a clinical study on the effect of peperidone combined with cognitive behavioral therapy on symptoms of schizophrenia;the clinical effect of feedforward control nursing combined with methylphenidate sustained-release tablets on children with attention deficit hyperactivity disorder;study on the effect of community legal consciousness health management on cognitive function of senile patients;effects of special sports training on autonomic nervous regulation;a study of positive intervention of music therapy and neurofeedback on negative emotions and attention in college students;and alleviating effect of the geriatric care system integrating physical and psychological on the common mental problems of the elderly.
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Objectives: Burnout is common among health professionals, an important problem of exhaustion and professional angst, that can severely affect the mental state, health, and the quality of personnelpatient care. Nonetheless, only a few studies have researched the improvement in the state of exhaustion of the professionals in the framework of a prevention and systematic reduction therapy for burnout, based on Virtual Reality (VR) and neural feedback. The objective of this study was to evaluate the level of exhaustion and the improvements obtained in health care workers in the context of pandemic for SarsCov 2, product of the application of relaxation therapy based on VR assisted by Neurofeedback. Material(s) and Method(s):Transversal study, in a public hospital in the city of Santiago de Chile. Maslach Burnout Inventory was used to evaluate burnout in health professionals and a therapy was applied to facilitate the learning of breathing techniques and relaxation utilizing VR and neural feedback. Result(s): Out of 50 health care workers 4 were selected for the present study of case report, all obtaining a high level of burnout. Conclusion(s):The health professionals that take care of patients in the framework of the pandemic for COVID19 experimented high levels of burnout. In our study it was observed an improvement in the parameters of improvement in response to neural therapy.Copyright © 2022, Accion Medica S.A.. All rights reserved.
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Objective: health care workers (HCWs) represent a vulnerable group in the COVID-19 pandemic, given the exposure to greater risk and higher levels of work-related stress. Neurofeedback (NF) has shown to be effective in the treatment of stress-related symptoms. We aimed to assess the effectiveness of an alpha-increase NF protocol for the treatment of acute stress symptoms in HCWs exposed to the COVID-19 pandemic. Method: eighteen medical doctors on duty during the COVID-19 health emergency underwent an intensive NF alpha-increase protocol. The mean alpha wave values were recorded at the beginning (T0) and at the last day of stimulation (T1). Rapid Stress Assessment: Italian version; Copenhagen Burnout Inventory (CBI); Pittsburgh Sleep Quality Index (PSQI), and Brief-COPE were administered as psychometric assessment. Results: a significant increase in alpha wave values and a significant reduction of the PSQI scores from T0 to T1 were found. Conclusions: NF alpha-increase protocol showed promising results in terms of stress modulation, sleep quality improvement, and safety in a pilot sample of HCWs.
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The purpose of the study was twofold: 1) to evaluate the effectiveness of goal-oriented neuropsychological rehabilitation, with EEG-Neurofeedback, devel-oped for a visual artist with PTSD resulting from infection with SARS-CoV-2, followed by a severe course of neuroCovid and sequelae of long term phar-macological coma, 2) to evaluate QEEG/ERP results showing a reduction of late-onset PTSD symptoms (as defined by DSM-5) over the course of the sub-ject's rehabilitation. The present study describes a 67-year-old right-handed visual artist with PTSD after infection with SARS-CoV-2, resulting in severe course of COVID-19 com-plicated by acute respiratory distress syndrome (ARDS). She was referred to the ICU, put on a respirator and treated during 13 weeks of pharmacologically induced coma. After returning home she received rehabilitation to improve motor functioning, and was referred for further diagnosis and therapy to the Reintegration and Training Center of the Polish Neuropsychological Society. In neuropsychological diagnosis she presented with neurocognitive dysfunc-tions, including lost ability to paint. In the course of rehabilitation she received a program of rehabilitation with two components: 1. Program A, consisting in goal-oriented neuropsychological rehabilitation, including art therapy, aimed at the reduction of the neurocognitive dysfunctions (Pąchalska 2008). This program lasted for 9 months (from the beginning of March till the end of November 2022). 2. Program B, based on the most commonly used form of EEG-Neurofeed-back: frequency/ power EEG-Neurofeedback, using 2 bipolar surface elec-trodes, called "surface neurofeedback” (Kropotov 2016). She received Theta/ Beta, SMR training, including (1) at C3, strengthening Beta1 and inhibiting Theta + inhibiting Beta 2,and (2) at C4, strengthening SMR and inhibiting Theta + inhibiting Beta, based on the international 10-20 system (Thompson & Thompson 2012). This program was given after a diagnosis of PTSD with late onset (as defined by DSM-5), from the beginning of August till the end of No-vember, twice a week. Almost all the short and the long-term side effects of neuroCOVID (including the PTSD) were reduced in severity. The artist showed marked improvement and was able to return to painting. The artwork she made after her illness is in high demand with art collectors, which has improved the patient's quality of life. Goal-oriented neuropsychological rehabilitation, with art therapy, supported with EEG-Neurofeedback administered for a visual artist with PTSD with de-layed onset (as defined by DSM-5) resulting from infection with SARS-CoV-2, followed by severe neuroCovid symptoms and the sequelae of long-term phar-macologically-induced coma, canbe helpful in the reduction of short term side effects, such as neurocognitive dysfunctions (attention, memory, dysexecutive symptoms) and long-term side effects, such as various physical and mental symptoms, including PTSD. It can be also helpful in the reintegration of the Self System. © 2022, MEDSPORTPRESS Publishing House. All rights reserved.
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Depression, or major depressive disorder, is a common mental disorder that affects individuals' behavior, mood, and physical health, and its prevalence has increased during the lockdowns implemented to curb the COVID-19 pandemic. There is an urgent need to update the treatment recommendations for mental disorders during such crises. Conventional interventions to treat depression include long-term pharmacotherapy and cognitive behavioral therapy. Electroencephalogram-neurofeedback (EEG-NF) training has been suggested as a non-invasive option to treat depression with minimal side effects. In this systematic review, we summarize the recent literature on EEG-NF training for treating depression. The 12 studies included in our final sample reported that despite several issues related to EEG-NF practices, patients with depression showed significant cognitive, clinical, and neural improvements following EEG-NF training. Given its low cost and the low risk of side effects due to its non-invasive nature, we suggest that EEG-NF is worth exploring as an augmented tool for patients who already receive standard medications but remain symptomatic, and that EEG-NF training may be an effective intervention tool that can be utilized as a supplementary treatment for depression. We conclude by providing some suggestions related to experimental designs and standards to improve current EEG-NF training practices for treating depression.
Subject(s)
COVID-19 , Depressive Disorder, Major , Neurofeedback , Humans , Depression/therapy , Pandemics , Communicable Disease Control , ElectroencephalographyABSTRACT
Neurofeedback (NF) is a scientific method that alters the brain states to improve mental disorders. Neurofeedback can perform through Brain-Computer Interface (BCI) which involves hardware, and software to communicate with the outside environment using the brain's thoughts. Coronavirus disease (COVID-19) has shown a substantial influence on mental health symptoms because individuals are working from home (WFH). However, A brain condition known as Mental Fatigue (MF) is induced by continuous cognitive work and lowers mental attentiveness as well as negatively affects performance. There are different approaches to address different mental states and Neurofeedback strategies to change mental states. Thus, Neurofeedback can be an Intervention technique to reduce mental fatigue and improve cognitive task performance. Furthermore, it is proven by researchers that Machine Learning Technique can successfully detect Mental Fatigue through electroencephalography (EEG). Currently, there is no BCI that integrated Mental Fatigue detection and applies Neurofeedback strategies to reduce Mental Fatigue. This review identified a neurofeedback process that includes signal acquisition, signal pre-processing, feature extraction, classification and generation of feedback signals. This review aims to develop a general architecture of mental fatigue intervention through BCI. © 2022 IEEE.
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BACKGROUND: Both the global COVID-19 pandemic situation, as well as the current political situation in Eastern Europe may exacerbate anxiety and contribute to stress-related disorders such as panic disorder. Electroencephalography (EEG)-based neurofeedback provides both assessment of the subject's brainwave activity as well as the possibility of its therapeutic correction. It is possible that it can be implemented as an auxiliary treatment in panic disorders of different origin. The aim of this feasibility study was to demonstrate (both short- and long-term) effectiveness of neurofeedback therapy in a patient with previously diagnosed panic attacks, related to fear of COVID-19 infection. METHODS: We report the case study of a 47-year-old man affected by panic attacks, related to his profound, constant fear of COVID-19 infection and its sequelae. For the initial diagnostic workup, several clinical and research tools were used: 1. Baseline psychological exam; 2. Anxiety-targeted interview performed by miniQEEG therapist; 3. Analysis of previous clinical test results (EEG record/lab blood test); and 4. The miniQEEG exam (central strip recording Cz-C3-C4), The patient was subjected to regular EEG Neurofeedback sessions for two consecutive months. After completing the treatment, follow-up tests, as listed above were repeated immediately after completing the whole treatment program, as well as 1 and 2 years later. MiniQEEG results were compared with healthy control (age-matched male subject not affected with panic attacks) and evaluated over the time that the subject was involved in the study. RESULTS: Initially, the patient was suffering from severe panic attacks accompanied by vegetative symptoms and from destructive and negative thoughts. After 8 consecutive weeks of treatment encompassing sixteen QEEG neurofeedback training sessions (each lasting 30 min), a subjective improvement of his complaints was reported. More importantly, QEEG records of the patient also improved, approximating the pattern of QEEG recorded in the healthy control. CONCLUSION: In this single case-based feasibility analysis, we demonstrate that systematic application of QEEG-Neurofeedback may result in manifest and durable therapeutic effect. Of note, use of this treatment may be a valuable option for patients with panic attack/panic disorder, especially if related to the psychological burden of the COVID-19/war era. Future studies on a larger patient population, especially with a longitudinal/prospective design, are warranted.
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Background Early evidence described by a number of scholars worldwide suggests that neu-roCOVID-19 has both mild [e.g. loss of smell (anosmia), loss of taste (ageusia), neurological tics (heterophilia), visual disturbances, headaches, dizziness, disorien-tation] and more severe sequelae (e.g. cognitive impairment, seizures, delirium, psychosis, strokes). Long-term neurological problems or neurological deficits may also occur. The aim of this study was to describe the examination and neurother-apy of a boy following SARS-CoV-2 infection and NeuroCOVID-19 in whom neurological tics and motor automatisms as well as cognitive impairment, particularly attention deficit disorder, developed as a consequence. Case study: We present a boy K.S., 7 years old, without any neurodevelopmental disorders, following a SARS-CoV-2 infection in May 2021 and the contraction of neuro-COVID-19 confirmed by a genetic test for the quantitative detection of neutralising antibodies (responsible for immunity) in the IgG class against SARS-CoV-2. The boy had relatively mild pseudomonal symptoms of the illness: temperature 38.5, runny nose, cough, muscle aches, headaches and general weakness. He was treated symptomatically and recovered after 2 weeks. Two months later, at the beginning of July 2021, neurological tics consisting of an upward turning of the eyeballs to the left appeared. These tics intensified in August 2021 and were accompanied by motor automatisms consisting of the left hand stiffening in salute-like position, while at the same time there was an inclination of the head to the left. In September 2021, after exertion in the swimming pool, an epileptic seizure occurred which caused the boy to start drowning. In the days that fol-lowed the above described tics and motor automatisms increased. He also developed sleep disorders, which consisted of him waking up several times during the night, during which time neurological tics and motor automatisms also ap-peared. Gradually, cognitive dysfunctions, especially attention deficits and behavioural changes, joined in, making it impossible for the boy to function independently at school and in many situations of daily life. Neurophysiological examination: qEEG, ERPs and sLORETA tomography performed on 11.09.2021 using automatic seizure activity detection software showed the pres-ence of the neuromarker benign partial rolandic epilepsy (BPERS) and neurocog-nitive disturbances resembling the symptoms of attention deficit hyperactivity disorder (ADHD), compared with the neuromarkers of children with this condition (n=100) from the normative database of the Human Brain Index (HBI) in Switzer-land. Detection of the neuromarkerBPERS was helpful in selecting an individu-alised neurostimulation protocol. The patient participated in 20 neurofeedback sessions using (1) SMR reinforcement, theta inhibition;(2) theta inhibition, B1 reinforcement (15-18 Hz);(3) qEEG-guided neurofeedback. Neurostimulation with neurofeedback was conducted twice a week, for 15-20 minutes gradually increasing to 30-40 minutes per session. The patient also received individual goal-directed psychotherapy After successive sessions of neurofeedback, a gradual reduction neurological symptoms was observed. By the end of neu-rotherapy, neurological tics, motor automatisms, neurocognitive disorders and behavioural disturbances had completely disappeared. The patient functions well in school and achieves very good results. Conclusions: HBI methodology was helpful in finding functional neuromarkers of benign partial Rolandic epilepsy and disturbed cognitive control. Therefore, it was possible to offer more effective neurorehabilitation of the disorders, which contribute to a better quality of life for the patient.
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There is a crisis in mental health. The demand for services is huge; the efficacy of current services is lacking, and the traditional path to developing effective treatments is not working. This paper describes an approach based on implementing infra low frequency (ILF) neurofeedback in agencies that work with the underserved and collecting data on client's concerns, behavior, quality of life and cognitive performance. We also track session-by-session changes in client concerns and their relation to ILF neurofeedback protocols. Results are reviewed for over 300 clients who have been seen in such agencies. Limitations and future directions are discussed for this model.
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This study aimed to evaluate the effectiveness of neurofeedback therapy on sustained attention of dyslexic students. The research method was quasi-experimental, pretest-posttest with a control group, and 1-month follow-up. The available sample selection method and the sample number of 30 students with dyslexia were selected and randomly divided into experimental and control groups. The experimental group received neurofeedback treatment in 8 sessions once a week. The research instruments used in this study were Karami, Nouri, and Moradi's (2005) reading performance questionnaire and sustained attention to continuous performance test (Rosvold, 1956). The results of repeated measures analysis of variance showed that neurofeedback treatment was effective on sustained attention (P <0.05) .Therefore, it can be concluded that neurofeedback therapy can be used to increase sustained attention in dyslexic children.
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The term long-COVID refers to a wide array of psychological impacts arising from infection with the Severe Acute Respiratory Coronavirus 2 (SARS-CoV-2). The virus has been reported to attack the nervous system directly, with nondirect impacts to organs and systems, such as elevated inflammation, blood pressure, and immune responses also damaging the brain. The electroencephalogram (EEG) has been used to image these insults and provides a valuable tool to guide understanding of infection mechanisms and, consequentially, therapeutic intervention. Due to the high likelihood of neurological complications, neurofeedback and other forms of neuromodulation may be particularly well suited to help long-COVID patients recover. However, clinicians providing neuromodulation interventions should be aware of, and take adequate steps to minimize, risks to themselves and others in providing face-to-face services. This review seeks to provide mental health professionals with an overview of the impacts of COVID-19 upon the nervous system, details current EEG findings, and outlines possibly relevant neurofeedback and neuromodulation interventions.
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Theoretical considerations related to neurological post-COVID complications have become a serious issue in the COVID pandemic. We propose 3 theoretical hypotheses related to neurological post-COVID complications. First, pathophysiological processes responsible for long-term neurological complications caused by COVID-19 might have 2 phases: (1) Phase of acute Sars-CoV-2 infection linked with the pathogenesis responsible for the onset of COVID-19-related neurological complications and (2) the phase of post-acute Sars-CoV-2 infection linked with the pathogenesis responsible for long-lasting persistence of post-COVID neurological problems and/or exacerbation of another neurological pathologies. Second, post-COVID symptoms can be described and investigated from the perspective of dynamical system theory exploiting its fundamental concepts such as system parameters, attractors and criticality. Thirdly, neurofeedback may represent a promising therapy for neurological post-COVID complications. Based on the current knowledge related to neurofeedback and what is already known about neurological complications linked to acute COVID-19 and post-acute COVID-19 conditions, we propose that neurofeedback modalities, such as functional magnetic resonance-based neurofeedback, quantitative EEG-based neurofeedback, Othmer's method of rewarding individual optimal EEG frequency and heart rate variability-based biofeedback, represent a potential therapy for improvement of post-COVID symptoms.
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A person who is physically, mentally, and socially fit is known as a healthy person. However, only 45% of people pass the criteria of being healthy. Approximately 25% of people in India are suffering from mental disorders and are mentally unfit. The current scenario and the lockdowns have increased the rates from 17.5% in March 2020 to 25% in March 2021. Stress has always been an integral part of human life. But with the rising age of digitisation, stress coping abilities are deteriorating, and mental health issues are increasing worldwide, especially among young adults. Mental health has become a significant concern, which needs to be dealt with as soon as possible. According to a survey, many deaths during the covid resulted from anxiety, panic, and mental weakness. Technology is proliferating, but problems like Mental health and cure are still technologically handicapped. Music is known for its healing beauty. It has profound psychophysical effects and can act as a great stress reliever. Integrating music and technology in the right manner can enhance psychological and physical health, which in turn increases brain plasticity. This paper proposes a device that uses non-invasive neurotechnology in acquiring any mental state, from heightened alertness to deep rest. The device uses auditory brain stimulation and neurofeedback technology in achieving so.Binaural Beat possesses brainwave entrainment properties, making it an excellent stimulus in designing this Auditory Brain-Computer Interface. The salient feature of this device is the usage of real-time EEG neurofeedback in producing a personalised binaural beat track for the user. The binaural beat track is structured to help the user smoothly achieve a particular mental state, providing a pleasant experience. Not only that, the experience becomes more harmonious with the integration of the Fibonacci and the Golden Ratio. The device escalates the benefits of binaural beats as the real-time EEG feedback reduces the occurrence of dizziness caused by the beats. Hence, creating an effective system to improve the cognitive functioning of the user. © 2021 IEEE.
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Considering that athletes constantly practice and compete in noisy environments, the aim was to investigate if performing neurofeedback training in these conditions would yield better results in performance than in silent ones. A total of forty-five student athletes aged from 18 to 35 years old and divided equally into three groups participated in the experiment (mean ± SD for age: 22.02 ± 3.05 years). The total neurofeedback session time for each subject was 300 min and were performed twice a week. The environment in which the neurofeedback sessions were conducted did not seem to have a significant impact on the training's success in terms of alpha relative amplitude changes (0.04 ± 0.08 for silent room versus 0.07 ± 0.28 for noisy room, p = 0.740). However, the group exposed to intermittent noise appears to have favourable results in all performance assessments (p = 0.005 for working memory and p = 0.003 for reaction time). The results of the study suggested that performing neurofeedback training in an environment with intermittent noise can be interesting to athletes. Nevertheless, it is imperative to perform a replicated crossover design.
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Neurofeedback , Adolescent , Adult , Athletes , Humans , Memory, Short-Term , Students , Young AdultABSTRACT
The rapid development of the COVID-19 pandemic has threatened the lives of people around the world. Many people were caught in anxiety and panic, which also prevents people from fully concentrating on their normal lives. However, the current common neurofeedback therapies used to solve the problem of lack of attention cannot fully deal with the differences in each individual. In addition, direct contact between the patient and the doctor also increases the risk of virus transmission during treatment. This article combines neurofeedback and IoT to establish an adaptive attention adjustment method. IoT connects patients and doctors remotely, reducing the direct contact between them. In order to adapt to individual differences, the feedback indicators of each individual are individually calibrated. In addition, the proportional, integral, and derivative controller was used to adjust the difficulty of the feedback task to adapt to each individual's self-regulation ability and provide the individual with a higher level of regulation. We also designed adaptive attention adjustment experiments for different individuals. The results show that through adaptive feedback training, the individual's feedback indicator has dropped by 77.90%, and the individual can adjust his attention state to the individual's optimal baseline threshold, and the oscillation error gradually reduces to the expected threshold range. This method can cope with the differences between different individuals and provide each individual with the same level of feedback regulation. In the future, this study may provide a general adjuvant treatment for other mental illnesses.
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BACKGROUND: With an increase in the aged population, there is a growing concern regarding the care of the elderly. This study aims to identify effects of cognicise-neurofeedback on health locus of control, depression, and quantitative electroencephalography (QEEG) alpha asymmetry in elderly women. METHODS: A quasi-experimental control group pre-test-post-test design was used. Korean women aged 65 years or over at a senior welfare center were randomly allocated to the control (n = 12) or experimental (n = 19) groups from July to October 2019. The intervention consisted of cognicise (exercise with intensified cognitive activity) and neurofeedback twice a week for 10 weeks. The locus of control and depression were measured via self-reported questionnaires. QEEG alpha asymmetry was measured using BrainMaster. RESULTS: Depression significantly decreased in the experimental group (t = 4.113, p = 0.001), while internality in the locus of control significantly decreased in the control group (t = 3.023, p = 0.012). On the other hand, QEEG alpha asymmetry index differences in F3-F4 between the pre-test and post-test were not significant in the experimental group (t = 0.491, p = 0.629) or control group (t = 0.413, p = 0.678). CONCLUSIONS: Due to the coronavirus disease (COVID-19) pandemic, contact between the elderly and healthcare workers in the clinical practice field has become more restricted. These findings can help decrease negative emotions among elderly women in the community based on an integrated neuroscientific approach.