Electroencephalography Technology Research Articles

Trends in South Korean Medical Device Development for Attention-Deficit/Hyperactivity Disorder and Autism Spectrum Disorder: Narrative Review.

Attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) are among the most prevalent mental disorders among school-aged youth in South Korea and may play a role in the increasing pressures on teachers and school-based special education programming. A lack of support for special education; tensions between teachers, students, and parents; and limited backup for teacher absences are common complaints among Korean educators. New innovations in technology to screen and treat ADHD and ASD may offer relief to students, parents, and teachers through earlier and efficient diagnosis; access to treatment options; and ultimately, better-managed care and expectations. This narrative literature review provides an account of medical device use and development in South Korea for the diagnosis and management of ADHD and ASD and highlights research gaps. A narrative review was conducted across 4 databases (PubMed, Korean National Assembly Library, Scopus, and PsycINFO). Journal articles, dissertations, and government research and development reports were included if they discussed medical devices for ADHD and ASD. Only Korean or English papers were included. Resources were excluded if they did not correspond to the research objective or did not discuss at least 1 topic about medical devices for ADHD and ASD. Journal articles were excluded if they were not peer reviewed. Resources were limited to publications between 2013 and July 22, 2024. A total of 1794 records about trends in Korean medical device development were categorized into 2 major groups: digital therapeutics and traditional therapy. Digital therapeutics resulted in 5 subgroups: virtual reality and artificial intelligence, machine learning and robot, gaming and visual contents, eye-feedback and movement intervention, and electroencephalography and neurofeedback. Traditional therapy resulted in 3 subgroups: cognitive behavioral therapy and working memory; diagnosis and rating scale; and musical, literary therapy, and mindfulness-based stress reduction. Digital therapeutics using artificial intelligence, machine learning, and electroencephalography technologies account for the biggest portions of development in South Korea, rather than traditional therapies. Most resources, 94.15% (1689/1794), were from the Korean National Assembly Library. Limitations include small sizes of populations to conclude findings in many articles, a lower number of articles discussing medical devices for ASD, and a majority of articles being dissertations. Emerging digital medical devices and those integrated with traditional therapies are important solutions to reducing the prevalence rates of ADHD and ASD in South Korea by promoting early diagnosis and intervention. Furthermore, their application will relieve pressures on teachers and school-based special education programming by providing direct supporting resources to students with ADHD or ASD. Future development of medical devices for ADHD and ASD is predicted to heavily rely on digital technologies, such as those that sense people's behaviors, eye movement, and brainwaves.

The impact of smartphone deprivation on attentional bias in problematic smartphone users: Evidence from behavioral and physiological perspectives

This study innovatively applied smartphone deprivation and aimed to assess its behavioral and physiological effects in problematic smartphone users. In Experiment 1, 283 participants completed an investigation related to smartphone use, including 92 participants identified as problematic smartphone users. Based on an average smartphone unlocking interval of 19.67 min, the duration of smartphone deprivation was set to 20 min. After deprivation, the participants exhibited a significant increase in smartphone cravings and a decrease in heart rate. Experiment 2 applied a modified cueing task to explore problematic smartphone users’ attentional bias, in which smartphone-related and neutral pictures were selected as the materials. There were 22 and 23 participants in the smartphone-deprivation and control groups, respectively. In the deprivation group, reaction times (RTs) for smartphone-related pictures were longer than for neutral pictures. In Experiment 3, we incorporated electroencephalography technology to also assess a smartphone turned-off group. There were 16, 21, and 14 participants in smartphone deprivation, smartphone turned-off, and control groups, respectively. In both the smartphone deprivation and smartphone turned-off groups, participants had longer RTs on smartphone-related pictures than on neutral pictures. Furthermore, for participants in the deprivation group, N2 latencies in relation to smartphone-related pictures were earlier than those in relation to neutral pictures, while participants in the turned-off group had larger P3 amplitudes and earlier P3 latencies for invalid cues compared with valid cues.

Application of Transcranial Magnetic Stimulation with Electroencephalography in the Evaluation of Brain Function Changes after Stroke.

Based on transcranial magnetic stimulation (TMS) with electroencephalography technology, this study analyzed the rehabilitation mechanism of patients' motor function reconstruction and nerve remodeling after stroke. It revealed the function of the cerebral cortex network at a deeper level and established a set of prognostic marker evaluation indicators for the reconstruction of motor function after stroke. Twenty-one patients treated at the Beijing Rehabilitation Hospital of Capital Medical University because of ischemic stroke in the territory supplied by the middle cerebral artery were selected as the experimental group. Neurophysiological evaluation, motor function evaluation, and clinical evaluation were performed 30 and 180 d after the onset of ischemic stroke. In the control group, neurophysiological evaluation was also performed as a reference index to evaluate the changes in cortical patterns after stroke. The brain topographic map showed the changes in energy or power spectral density (PSD) at 1,000 ms after stimulation as compared with before stimulation, but no difference was detected in these patients. The time-frequency analysis showed that when the left primary motor cortex (M1) area was stimulated using TMS, the PSD values of the left and right M1 and posterior occipital cortex areas produced an 8-40 Hz wave band in patients S1-S11. There was no significant energy change in patients S12-S16. For patients with different injury types, degrees of injury, and different onset periods, individualized intervention methods should be adopted. The evaluation methods should be as diverse as possible, and the rehabilitation effects of patients should be assessed from multiple perspectives to avoid the limitations of single factors. Possible mechanism: After brain injury, the nervous system can change its structure and function through different ways and maintain it for a certain period of time. This plasticity change will change with the course of the disease.

Should Improvisation Be Regularly Included in Music Lessons? A Single-Case Quasi-Experimental Study Exploring the Differences in the Electrical Activity of the Brain between Musical Improvisation and Sight-Reading

Thanks to advances in portable electroencephalography technology (PEEGT), investigating the states of the mind is a relatively new area of research with a promising future in music education. Our aim, drawing upon PEEGT, was to contribute to the study of the differences in brain activity between piano music improvisation and sight-reading. We used the EMOTIV Insight helmet to register brain activity in repeated instances of one purposefully selected case while pursuing these two activities in experimental, controlled conditions. Thereafter, we pursued descriptive and robust statistical analysis of the variables offered by the Emotiv software. The quantitative data resulting from our study were triangulated with the qualitative analysis of a logbook filled by the participant on his subjective experiences. While the quantitative results were not statistically significant in measuring differences between the experimental conditions, trends were indeed found in the data and triangulated by our qualitative results. Our study provides preliminary evidence that supports the value of regularly incorporating musical improvisation moments in music education. This, to increase the students’ excitement towards music lessons in cases that are similar to the case under scrutiny. Finally, implications and limitations are discussed in relation to the research design, the use of PEEGT technology, and the Emotiv software and hardware for investigating brain activity in pursuing musical activities.

AI-Based Epileptic Seizure Detection and Prediction in Internet of Healthcare Things: A Systematic Review

Epilepsy is a neurological condition affecting around 50 million individuals worldwide, reported by the World Health Organization. This is identified as a hypersensitive disease by clinical associations. The unique characteristics of Electroencephalography have proven to be stable and universal; therefore, researchers have a lot of credibilities. So, it is the most used test for Epileptic Seizure detection and prediction. This study examines the contributions that have so far been made utilizing Electroencephalography technology to detect, predict, and monitor Epileptic Seizures. We have reviewed around 56 research articles, and those papers are selected from different academic databases. The studies explored various approaches, including Machine Learning, Deep Learning, and the Internet of Things framework. A comprehensive discussion of different classification algorithms is analyzed, and their performances are explored. Furthermore, various open issues of the stated approach are discussed, and potential future works are addressed.

EEG Electrode-induced Skin Injury among Adult Patients Undergoing Ambulatory EEG Monitoring

ABSTRACTIntroduction: Ambulatory electroencephalography technology has improved in the last 40 years. Many clinicians believe that some skin injury is an unavoidable complication of prolonged EEG monitoring. In this study, we examined potential risk factors associated with electrode-induced skin injury in adult patients with AEEG monitoring. Methods: A cross-sectional observational study was conducted from December 2017 to October 2018, in the outpatient clinic at a teaching hospital in Sydney, Australia. Patients were included if they were older than 16 years of age and had been referred for AEEG monitoring of two to five days duration. Trained neurophysiology nurses completed a pre-application skin assessment before they applied the EEG electrodes. Daily assessments of the skin condition were conducted. The patients completed a questionnaire to assess comfort levels at the completion of the testing. Results: A total of 251 patients participated in this study. Two groups were established – those who were monitored for 2–3 days (Group 1; n = 92) and those who were monitored for 4–5 days (Group 2; n = 159). There was a significant acceleration in inflammation which occurred between day 2 and day 4/5. Cross-sectional analyses of patient characteristics showed that increasing age, fair skin color, dry skin texture and fine hair texture were the prevailing risk factors for greater inflammation scores. Conclusion: The patient discomfort and inflammatory burden associated with this procedure were high. Inflammation was shown to increase with the duration of electrode application.

American Clinical Neurophysiology Society Guideline 5: Minimum Technical Standards for Pediatric Electroencephalography.

This revision to the EEG Guidelines is an update incorporating the current electroencephalography technology and practice. It was previously published as Guideline 2. Similar to the prior guideline, it delineates the aspects of Guideline 1 that should be modified for neonates and young children. Recording conditions for photic stimulation and hyperventilation are revised to enhance the provocation of epileptiform discharges. Revisions recognize the difficulties involved in performing an EEG under sedation in young children. Recommended neonatal EEG montages are displayed for the reduced set of electrodes only since the montages in Guideline 3 should be used for a 21-electrode 10-20 system array. Neonatal documentation is updated to use current American Academy of Pediatrics term "postmenstrual age" rather than "conceptional age." Finally, because therapeutic hypothermia alters the prognostic value of neonatal EEG, the necessity of documenting the patient's temperature at the time of recording is emphasized.

American Clinical Neurophysiology Society Guideline 2: Guidelines for Standard Electrode Position Nomenclature

This revision to the EEG Guidelines is an update incorporating current electroencephalography technology and practice and was previously published as Guideline 5. While the 10-10 system of electrode position nomenclature has been accepted internationally for almost two decades, it has not been used universally. The reasons for this and clinical scenarios when the 10-10 system provides additional localizing information are discussed in this revision. In addition, situations in which AF1/2, AF5/6, PO1/2 and PO5/6 electrode positions may be utilized for EEG recording are discussed.

American Clinical Neurophysiology Society Guideline 3: A Proposal for Standard Montages to Be Used in Clinical EEG.

This revision to the EEG Guidelines is an update incorporating current electroencephalography technology and practice and was previously published as Guideline 6. A discussion of methodology for the appropriate selection of reference electrodes is added. In addition, montages are added to assist with localization of abnormal activity in mesial frontal and anterior temporal regions.

Medical management of epileptic seizures: challenges and solutions.

Epilepsy is one of the most common neurologic illnesses. This condition afflicts 2.9 million adults and children in the US, leading to an economic impact amounting to $15.5 billion. Despite the significant burden epilepsy places on the population, it is not very well understood. As this understanding continues to evolve, it is important for clinicians to stay up to date with the latest advances to provide the best care for patients. In the last 20 years, the US Food and Drug Administration has approved 15 new antiepileptic drugs (AEDs), with many more currently in development. Other advances have been achieved in terms of diagnostic modalities like electroencephalography technology, treatment devices like vagal nerve and deep-brain stimulators, novel alternate routes of drug administration, and improvement in surgical techniques. Specific patient populations, such as the pregnant, elderly, those with HIV/AIDS, and those with psychiatric illness, present their own unique challenges, with AED side effects, drug interactions, and medical–psychiatric comorbidities adding to the conundrum. The purpose of this article is to review the latest literature guiding the management of acute epileptic seizures, focusing on the current challenges across different practice settings, and it discusses studies in various patient populations, including the pregnant, geriatric, those with HIV/AIDS, comatose, psychiatric, and “pseudoseizure” patients, and offers possible evidence-based solutions or the expert opinion of the authors. Also included is information on newer AEDs, routes of administration, and significant AED-related drug-interaction tables. This review has tried to address only some of these issues that any practitioner who deals with the acute management of seizures may encounter. The document also highlights the numerous avenues for new research that would help practitioners optimize epilepsy management.

MeditAid: a wearable adaptive neurofeedback-based system for training mindfulness state

A recent interest in interaction design is towards the development of novel technologies emphasizing the value of mindfulness, monitoring, awareness, and self-regulation for both health and well-being. Whereas existing systems have focused mostly on relaxation and awareness of feelings, there has been little exploration on tools supporting the self-regulation of attention during mindfulness sitting meditation. This paper describes the design and initial evaluation of MeditAid, a wearable system integrating electroencephalography technology with an adaptive aural entrainment for real-time training of mindfulness state. The system identifies different meditative states and provides feedback to support users in deepening their meditation. We report on a study with 16 meditators about the perceived strengths and limitations of the MeditAid system. We demonstrate the benefits of binaural feedback in deepening meditative states, particularly for novice meditators.

Electrical Brain Activity, Family Functioning, and Parent–Adolescent Conflict Communication

As family conflict tends to escalate during the adolescent years, the subsequent effects of adolescence on parent–child dynamics are systemically experienced, both intra- and inter-personally. As such, widening the scope of literature targeted towards better understanding the parent–adolescent conflict relationship is merited. To offer a more gestalt view of parent–adolescent conflict processes, the present study takes a biopsychosocial view of the mother–father–adolescent relationship by considering electrical brain activity using electroencephalography technology. Specifically, electrical brain activity was recorded during two problem-solving family discussions between a mother, father, and adolescent child. Data is analyzed from a pilot study of 11 triads, for a total of 33 participants, examining the statistical relationships between brain waves and self-reported measures of family functioning and distress. Findings suggest that hemispheric lateralization occurs during parent–adolescent problem-solving discussions thus reminding therapists of the importance in using a biopsychosocial lens when assisting families.

Electroencephalography Technology for Predicting Response to Antidepressant Medications

<h4>EXCERPT</h4> <p>Finding an effective antidepressant agent for a patient is a process of trial and error. Improvement generally requires 4 to 12 weeks of treatment. Patients may stop taking medication too soon because of delayed response or intolerable side effects. Fewer than half of patients achieve full remission on the first drug that is tried. Predicting how a patient might respond to treatment would help identify an effective treatment more quickly, avoid unnecessary medication changes, and encourage treatment adherence. Electroencephalography (EEG) is an old technology used to measure brain waves and diagnose epilepsy. In this article, I describe the use of quantitative EEG (QEEG) for predicting antidepressant treatment response.</p>

“Gating” of human short-latency somatosensory evoked cortical responses during execution of movement. A high resolution electroencephalography study

The present study aimed at investigating gating of median nerve somatosensory evoked cortical responses (SECRs), estimated during executed continuous complex ipsilateral and contralateral sequential finger movements. SECRs were modeled with an advanced high resolution electroencephalography technology that dramatically improved spatial details of the scalp recorded somatosensory evoked potentials. Integration with magnetic resonance brain images allowed us to localize different SECRs within cortical areas. The working hypothesis was that the gating effects were time varying and could differently influence SECRs. Maximum statistically significant ( p<0.01) time-varying gating (magnitude reduction) of the short-latency SECRs modeled in the contralateral primary motor and somatosensory and supplementary motor areas was computed during the executed ipsilateral movement. The gating effects were stronger on the modeled SECRs peaking 30–45 ms (N30–P30, N32, P45–N45) than 20–26 ms (P20–N20, P22, N26) post-stimulus. Furthermore, the modeled SECRs peaking 30 ms post-stimulus (N30–P30) were significantly increased in magnitude during the executed contralateral movement. These results may delineate a distributed cortical sensorimotor system responsible for the gating effects on SECRs. This system would be able to modulate activity of SECR generators, based on the integration of afferent somatosensory inputs from the stimulated nerve with outputs related to the movement execution.