Cannabis-Induced Catatonia in a 15-Year-Old Male: A Case Report

Introduction: Catatonia is a syndrome of primarily psychomotor disturbances most common in psychiatric mood disorders but that also rarely has been described in association with cannabis use. Case Presentation: A 15-year-old White male presented with left leg weakness, altered mental status, and chest pain, which then progressed to global weakness, minimal speech, and a fixed gaze. After ruling out organic causes of his symptoms, cannabis-induced catatonia was suspected, and the patient responded immediately and completely to lorazepam administration. Discussion(s): Cannabis-induced catatonia has been described in several case reports worldwide, with a wide range and duration of symptoms reported. There is little known about the risk factors, treatment, and prognosis of cannabis-induced catatonia. Conclusion(s): This report emphasizes the importance of clinicians maintaining a high index of suspicion to accurately diagnose and treat cannabis-induced neuropsychiatric conditions, which is especially important as the use of high-potency cannabis products in young people increases.Copyright © 2023, State Medical Society of Wisconsin. All rights reserved.

Cardioneuroablation in a Woman with Ictal-Induced Cardiac Asystole

Background: Ictal-induced cardiac bradyarrhythmia and asystole is a rare phenomenon. The exact mechanism of ictal-induced cardiac bradyarrhythmia and asystole remains unclear. It was postulated that stimulation of central autonomic network during ictal episode may trigger an abrupt burst of hypervagotonia. Prolonged episode of cardiac bradyarrhythmia and asystole may result in syncope or death due to impairment of cerebral perfusion. The role of cardioneuroablation (CNA) in this condition has not been well-described in the literature. Objective(s): To describe a case of successful CNA in a patient with ictal-induced bradyarrhythmia and asystole. Method(s): n/a Results: A 47-year-old female has a 1.5-year history of intractable focal epilepsy and COVID-19 infection. She started having multiple episodes of seizures following a mild COVID-19 infection. Electroencephalogram (EEG) and brain MRI revealed right temporal onset seizures without structural lesions. Due to ongoing uncontrolled seizures with multiple semiologies despite multiple anti-epileptic drugs, she was admitted to Epilepsy Monitoring Unit for seizure classification. Her ictal EEGs (Figure 1) showed onset of ictal rhythm in the right temporal region with episodes of severe sinus bradycardia (15-30 bpm) and sinus pauses (15-16 seconds). Telemetry tracings demonstrated PP interval slowing with PR interval prolongation prior to the pauses consistent with a vagally-mediated mechanism. Cardiac electrophysiology team recommended CNA for treating the episodes of ictal-induced bradyarrhythmia and asystole. 3D anatomic maps of the right atrium (RA) and left atrium (LA) were created using CARTO system (Biosense Webster). Right superior ganglionated plexus (RSGP) was localized with fractionation mapping and intracardiac echocardiography guidance. RSGP was targeted from the RA using an irrigated radiofrequency catheter with power limit of 25 W. Post-ablations of RSGP, her heart rate increased from 60 - 99 bpm. Additional lesions were delivered from the LA site but no additional heart rate increase was not seen. An implantable loop recorder was implanted post-ablation procedure. During follow-up of 8 months, she had recurrent focal epilepsy, but no bradyarrhythmias or asystole was noted on her loop recorder. Resting heart rates at long-term follow up were between 70 - 100 bpm. Conclusion(s): This case highlights the utility of CNA in patient with ictal-induced cardiac bradyarrhythmia and asystole. CNA may be an approach to avoid permanent pacemakers in this population. [Formula presented]Copyright © 2023

Comprehensive Program of Neurotherapy for a Visual Artist with Post-Covid-19 Syndrome Following Sars-Cov-2 Infection and Severe Course of Covid-19 Treated in Long-Term Pharmacologically Induced Coma

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.

L-Ornithine-L-Aspartate and Intermittent Renal Replacement Therapy in Fulminant Hepatitis A: A Case Report

Hepatitis A is a common viral infection worldwide that is transmitted via the fecal-oral route. Since the introduction of an efficient vaccine, the incidence of infection has decreased but the number of cases has risen due to widespread community outbreaks among unimmunized individuals. Classic symptoms include fever, malaise, dark urine, and jaundice, and are more common in older children and adults. People are often most infectious 14 days prior to and 7 days following the onset of jaundice. We will discuss the case of a young male patient, diagnosed with acute hepatitis A, leading to fulminant hepatitis refractory to conventional therapy and the development of subsequent kidney injury. The medical treatment through the course of hospitalization was challenging and included the use of L-ornithine-L-aspartate and prolonged intermittent hemodialysis, leading to a remarkable outcome. Hepatitis A is usually self-limited and vaccine-preventable;supportive care is often sufficient for treatment, and chronic infection or chronic liver disease rarely develops. However, fulminant hepatitis, although rare, can be very challenging to manage as in the case of our patient.Copyright © 2023 The Author(s).

West Nile Meningoencephalitis in a Patient with Leiomyosarcoma Presenting with Neutropenic Fever

Case Report: West Nile Virus (WNV) was first isolated from the West Nile district of Northern Uganda in 1937, but was first detected in the United States well over half a century later in 1999. The arthropod-borne virus has since persisted, with 2,401 cases reported to the CDC on average annually. The infection typically causes a nonspecific acute systemic febrile illness with occasional gastrointestinal and skin manifestations;however, in less than 1% of infected patients, it can cause severe and potentially fatal neuroinvasive disease, presenting as meningitis, encephalitis or acute flaccid paralysis. Immunosuppression is one of the risk factors associated with the development of neuroinvasive disease, and chemotherapy thus places patients at risk. Uterine leiomyosarcoma is a rare gynecological malignancy. Palliative chemotherapy is common in late stage disease, but may predispose patients to conditions that present as neutropenic fever, leading to a diagnostic conundrum. This is the first case report where patient with neutropenic fever was found to have West Nile neuroinvasive disease, so it is important to include West Nile disease in the differential diagnosis. Case Description: This is a case of a 45-year-old female with history of diabetes, hypothyroidism and recently diagnosed uterine leiomyosarcoma status post tumor debulking with metastasis on palliative chemotherapy with gemcitabine that presented to the Emergency Room for a fever of 103.8 degrees Fahrenheit. Given the history of advanced leiomyosarcoma, the patient was admitted for neutropenic fever with an absolute neutrophil count of 1000. During the hospitalization, the patient became acutely altered and confused. CT head without contrast and lumbar puncture were performed. Due to clinical suspicion of meningitis, she was started on broad spectrum antibiotics. Lumbar puncture revealed leukocytosis of 168 with lymphocytic predominance and elevated protein level in the cerebrospinal fluid, therefore acyclovir was started due to high suspicion of viral meningoencephalitis. An EEG showed severe diffuse encephalopathy as the patient was persistently altered. A broad workup of infectious etiology was considered including HIV, syphilis, hepatitis A, B, C, COVID-19, adenovirus, pertussis, influenza, WNV, HHV6, coccidiomycosis, aspergillus, and tuberculosis. Patient was ultimately found to have elevated IgM and IgG titers for West Nile Virus. Discussion(s): It is important to consider a broad spectrum of diagnosis in patients with metastatic carcinoma presenting with new-onset fever and acute encephalopathy. This includes working up for other causes of altered mental status including cardiac, neurologic, psychiatric, endocrine, metabolic, electrolyte, drug, and infectious etiology. While uncommon in the healthy population, WNV encephalitis should be on the radar for any patient who is immunocompromised or on immunosuppressive therapy, especially those who present with a neutropenic fever.

A Feasibility Study of LORETA Z-Score Neurofeedback Training in Adults with Schizophrenia-Spectrum Disorder Experiencing Treatment-Resistant Auditory Verbal Hallucinations

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.

Hyperkinetic movement disorder following Covid-19 Temporal correlation or Coincidental

Objective: Hypokinetic movement disorder and parkinsonian picture has been well described in literature following covid-19 but hyperkinetic MDS are very in global literatures. To investigate the epidemiology,clinical picture,the diagnostic and therapeutic challenges in patients hyperkinetic MDS in this context and to know the time schedule of the onset of the MDS with exploring the possible pathogenesis Background: Infections are up to 20% of movement disorders.The most frequent agents are beta-hemolytic streptococcus,and flavivirus causing Japanese encephalitisThe role of the viral stimulation of microglial activation in neuroinflammation has regained attention in the context of covid19 Methods: Patients of MDS attended the clinic from 31st march 2020 to March 2022,with recent onset of hyperkinetic movements were screened. Subjects had medical history either prior to the study or medical history reviewed by physicians suggestive of covid.PCR +VE or Presence of covid antibody in blood or csf in patients with recent onset hyperkinetic MDS within 6-12 weeks of onset of symptoms except.Ventilatory cases Other markers were used to rule out other viral infections causing MDS.MRI brain and EEG as a routine in all Immune markers in very selected cases in suspected immuomediated MDSThe attempted treatment were symptomatic and immunotherapy Results: In last 2 years 50 cases of new onset Hyperkinetic MDS are recorded, out of which only 9 cases were directly or indirectly linked to Covid,Nystagmus, orofacial dyskinesia and segmental or generalized myoclonus and ataxic gait associated delirium,tremors and ocular movement disorders along with epileptic seizures are also seen.Positive EEG findings are in the form of diffused bihemispheric slowing or periodic complexes with polyspikes at irregular interval and delta brush in few cases .MRI findings varied between non-specific changes to bitemporoparietal hyperintensities in flair and T2 both cortical and subcortical or bilateral basal ganglia. Treatment response in all the cases are statisfactory Conclusion(s): observational study revealed MDS in covid do happen Myoclonus is the most Frequent movement disorder associated with COVID-19 followed by dystonia and tremors .pathophysiology included neuro inflammation, autoimmune mechanisms and small vessels thrombosis hence not be co-incidental , response to steroid also s/o immune mediated.

Possible consequences of Covid-19 on the nervous system

OBJECTIVES: The aim of the survey was to find out what the possible consequences are of the COVID-19 disease on the nervous system and to propose a method of using artificial intelligence. MATERIAL AND METHODS: Recent research has shown that the risks to patients due to severe acute coronavirus 2 respiratory syndrome (SARS-COV-2) differ most significantly depending on age and the presence of underlying comorbidities such as: cardiovascular disease, hypertension, diabetes and others. The consequences of COVID-19 on the nervous system are especially important. We performed a detailed selection of articles describing the effects of COVID-19 on the nervous system. RESULT(S): We made a clear summary of the main consequences of COVID-19 on the nervous system and suggested a way to use artificial intelligence. CONCLUSION(S): We confirmed research that artificial intelligence methods have the potential to accelerate prediction, especially for the possible consequences of COVID-19 on the nervous system.Copyright © 2020 Neuroendocrinology Letters

Case Presentation Competition, 5 Back to Basics

Serotonin syndrome associated with clozapine withdrawal and concurrent selective serotonin reuptake inhibitor (SSRI) use has previously been reported. A 56-year-old female with schizophrenia was admitted for pyrexia, rigidity, and altered mental state after her second dose of clozapine restart. She had discontinued her long-term clozapine 2 weeks prior. She developed ventilatory failure, reduced consciousness, eye deviation, and worsening rigidity, requiring ICU support. Examination showed a right upper motor neurone syndrome with absent ankle reflexes. She had raised inflammatory markers and creatine kinase. Serum neuropathy, encephalitis screen, and COVID PCR were negative. Respiratory investigations were unfruitful. MRI head and spine did not show brain or cord signal change to correlate to signs. Lumbar puncture showed a quiet CSF, negative culture, viral PCR, and encephalitis antibodies. EEG showed bihemispheric background slowing. Despite clinical improvement, repeat examination showed persistent signs. She was diagnosed with serotonin syndrome after developing a bilateral tremor. Treatment with cyproheptadine correlated with an improvement in her signs, cognitive state, and EEG. Serotonin syndrome can present with reversible neuromuscular signs. With clozapine withdrawal, it can require a prolonged time course of recovery in contrast with classical serotonin syndrome. Cyprohepta- dine can cause agranulocytosis and this delays clozapine restart.

Development of Personalized Sleep Induction System based on Mental States

Sleep is an essential behavior to prevent the decrement of cognitive, motor, and emotional performance and various diseases. However, it is not easy to fall asleep when people want to sleep. There are various sleep-disturbing factors such as the COVID-19 situation, noise from outside, and light during the night. We aim to develop a personalized sleep induction system based on mental states using electroencephalogram and auditory stimulation. Our system analyzes users' mental states using an electroencephalogram and results of the Pittsburgh sleep quality index and Brunel mood scale. According to mental states, the system plays sleep induction sound among five auditory stimulation: white noise, repetitive beep sounds, rainy sound, binaural beat, and sham sound. Finally, the sleep-inducing system classified the sleep stage of participants with 94.7% and stop auditory stimulation if participants showed non-rapid eye movement sleep. Our system makes 18 participants fall asleep among 20 participants. © 2023 IEEE.

Encephalite aigue post-vaccinale covid-19: une revue systematique des cas rapportes

INTRODUCTION: Quoique la vaccination contre le COVID-19 a boulverse l'evolution generale de cette pandemie, mais plusieurs effets secondaires sont un sujet de discussion, et l'encephalite aigue en fait partie. MATERIELS ET METHODES: Ce travail a pour objectif de realiser une revue systematique des cas rapportes dans la litterature dans les grandes bases de donnees (PUBMED-EMBASSE-SCIENCE DIRECT), dans le but de connaitre les caracteristiques demohgraphiques, imageriques et pronostiques de ces patients. RESULTAS: 7 cas sont inclus dans notre revue dont 5 sont des femmes, la moyenne d'age est a 54.65, 3 types de vaccins sont rapportes, mRNA1273 chez 3 patients, ChAdOx1 chez 3 patients et BNT162b2 mRNA chez un seul. La moyenne d'appartitio ndes symptomes est 6.67jours apres la premiere dose. Le signe neurologique commun est la confusion avec les troubles de la vigilance. Le bilan etiologie initiale est negative chez tous les patients. IRM est realisee chez tous les patients, et l'aspect le plus frequent ete les lesions d'hypersignal de la substance blance en sequence T2 flair, qui predominait surtout au niveau de la region temporal chez 4 patients (Figure 1), et au niveau du pons chez 2 malades. EEG est realise chez 6 des patients a montre un rythme theta diffus. Apres la corticotehrapie systemique, l'evolution ete favorable chez 6 patients. DISCUSSION: L'encephalite aigue est generalement secondarie a une infection ou l'origine auto-immune, qui contribuent a environ trois quarts des cas diagnostiques. La vaccination anti-COVID-19 peut etre associee dans des tres rares cas a des complications neurologiques, telles que l'encephalite aigue. Jusqu'au Juin 2022, 7 cas sont rapportes dans la litterature1, ceci peut etre expliquee par une reponse inflammatoire innaproriee2, comme celle observee lors de l'encephalite auto-imune. CONCLUSION(S): Les medecins doivent etre attentifs a l'encephalite apres la vaccination afin de garantir une issue favorable.Copyright © 2023

Development of an Ictal Spect Service for Irish Epilepsy Patients

Purpose: Beaumont Hospital (Dublin) is a large academic teaching hospital and specialist centre for complex epilepsy and epilepsy surgery. Ictal SPECT is a unique Nuclear Medicine examination that can be used as a tool in pre-surgical localisation of an epileptic focus. During a seizure there is hyper perfusion in the epileptogenic focus. While the patient is being EEG monitored in the Epilepsy Monitoring Unit (EMU), rapid injection of a brain perfusion radiopharmaceutical at seizure onset followed by ictal SPECT imaging can provide the epilepsy surgical team with more specific localisation information to aid presurgical planning. In view of the potential benefits to epilepsy patients an Ictal SPECT service has been established in Beaumont Hospital. There are many challenges and complex issues to address when developing a routine Ictal SPECT service in order to provide a quality and safe service to patients and staff. A multi-disciplinary approach was taken when planning and developing this new service in Beaumont Hospital. Material(s) and Method(s): This procedure is carried out between the following departments: Nuclear Medicine Department, Neurology, the Epilepsy Monitoring Unit (EMU) and Neuro Physics. The following areas required careful development and planning for the project: (1) Patient Selection and Preparation: (2) Radiopharmaceutical Selection, Preparation and Dispensing: (3) Nuclear Medicine Radiation Protection Issues: (4) Patient monitoring and administration of Radiopharmaceutical on the EMU: (5) Nuclear Medicine Patient Scanning: (6) Data Post Processing (SISCOM): A site visit to UZ Leuven hospital Belgium occurred early in the project, this provided invaluable information and support from an experienced centre with a long established Ictal SPECT service. Result(s): There have been many unexpected challenges during the establishment of this service: - Supply issues of the Radiopharmaceutical tracer - The impact of Covid-19 - An issue with absorption of the radiopharmaceutical within the Delivery tubing system To date two patients have successfully undergone Ictal SPECT exams, both were administered the radiopharmaceutical within seconds of the onset of a seizure. The results of the Ictal SPECT exam were discussed at a multi-discipline meeting and were used in the patient pre-surgical planning. Conclusion(s): Ictal SPECT is an intricate procedure that requires extensive planning and co-operation between the multi-disciplinary team in order to provide a quality and safe service to the patient. Beaumont Hospital hopes to continue and expand this service.Copyright © 2023 Southern Society for Clinical Investigation.

On enhancing students' cognitive abilities in online learning using brain activity and eye movements.

The COVID-19 pandemic has interrupted education institutions in over 150 nations, affecting billions of students. Many governments have forced a transition in higher education from in-person to remote learning. After this abrupt, worldwide transition away from the classroom, some question whether online education will continue to grow in acceptance in post-pandemic times. However, new technology, such as the brain-computer interface and eye-tracking, have the potential to improve the remote learning environment, which currently faces several obstacles and deficiencies. Cognitive brain computer interfaces can help us develop a better understanding of brain functions, allowing for the development of more effective learning methodologies and the enhancement of brain-based skills. We carried out a systematic literature review of research on the use of brain computer interfaces and eye-tracking to measure students' cognitive skills during online learning. We found that, because many experimental tasks depend on recorded rather than real-time video, students don't have direct and real-time interaction with their teacher. Further, we found no evidence in any of the reviewed papers for brain-to-brain synchronization during remote learning. This points to a potentially fruitful future application of brain computer interfaces in education, investigating whether the brains of student-teacher pairs who interact with the same course content have increasingly similar brain patterns.

Benefits and Limitations of Neuromarketing Techniques in Enhancing Marketing Strategies

Neuromarketing study is a combination between neuroscience and marketing studies. it is done to get better understanding on consumer behaviors while making purchases. Since the advent of Covid-19 or also known as Coronavirus, eCommerce platforms are widely used by the consumers to purchase goods and services. Various techniques can be used to obtained the brain signals to observe consumers' emotions. There are two types of neuromarketing approaches which are neuroimaging and non-neuroimaging techniques. The neuroimaging techniques are frequently used by the researchers to study neuromarketing as the results obtained are based on the consumers' brainwaves and is not biased to any goods or services such the results from surveys, interviews, or other traditional marketing strategies. So, this describes review on previous research which use the neuroimaging techniques to study neuromarketing, especially using electroencephalogram (EEG). © 2022 IEEE.

Acquired hemophilia in a patient with SARS-CoV-2 infection, a case report

Acquired hemophilia (AH) is a potentially life-threatening hemorrhagic disorder. We report the second confirmed case of COVID-19-associated AH in a 45-year-old female which, unfortunately, expired as her treatment failed. She presented to the emergency department with abnormal bleeding and spontaneous hemoptysis about ten days after a removal surgery of her epiglottis tumor. Aggregation tests, such as partial thromboplastin time (PTT), are recommended in patients with COVID-19 infection that have bleeding episodes.Copyright © 2022 The Author(s);Published by Society of Diabetic Nephropathy Prevention.

Neuropsychiatric Manifestations of COVID-19 in Hospitalized Pediatrics: A Multicenter Cross-sectional Study

Background: The large proportion of coronavirus disease 2019 (COVID-19) patients has been associated with a large number of neu-ropsychiatric manifestations. Despite the high prevalence of COVID-19, few studies have examined such manifestations, especially in children and adolescents. Objective(s): This study investigated neuropsychiatric manifestations in hospitalized children and adolescents admitted for COVID-19 infection in Iran. Method(s): This prospective observational study included admitted children and adolescents (4-18 years old) diagnosed with COVID-19 infection, pediatric neurologists, child and adolescent psychiatrists, and infectious disease specialists, and assessed 375 infected patients during August and December 2021. Result(s): Of the 375 patients, 176 (47%) were female, with a mean age of 9.0 +/- 3.39 years. Psychiatric and neurological manifestations were reported in 58 (15.5%) and 58 (15.5%) patients, respectively. The most prevalent psychiatric disorders were separation anxiety disorder (SAD) (5.1%), major depressive disorder (MDD) (3.5%), generalized anxiety disorder (GAD) (2.7%), insomnia (2.4%), and op-positional defiant disorder (ODD) (2.4%). Regarding neurological complications, seizures were the most prevalent (13.1%), followed by encephalitis (1.9%), transverse myelitis (0.3%), acute ischemic stroke (0.3%), and Guillain-Barre syndrome (0.3%). There was no significant relationship between the duration of COVID-19 infection (P = 0.54) and ICU admission (P = 0.44) with the emergence of psychiatric symptoms. Conclusion(s): The most prevalent neurologic and psychiatric complications among children and adolescents with COVID-19 infection were seizures and the symptoms of anxiety/mood disorders, respectively.Copyright © 2023, Author(s).

Depression screening using hybrid neural network.

Depression is a common cause of increased suicides worldwide, and studies have shown that the number of patients suffering from major depressive disorder (MDD) increased several-fold during the COVID-19 pandemic, highlighting the importance of disease detection and depression management, while increasing the need for effective diagnostic tools. In recent years, machine learning and deep learning methods based on electroencephalography (EEG) have achieved significant results in the field of automatic depression detection. However, most current studies have focused on a small number of EEG signal channels, and experimental data require special processing by professionals. In this study, 128 channels of EEG signals were simply filtered and 24-fold leave-one-out cross-validation experiments were performed using 2DCNN-LSTM classifier, support vector machine, K-nearest neighbor and decision tree. The current results show that the proposed 2DCNN-LSTM model has an average classification accuracy of 95.1% with an AUC of 0.98 for depression detection of 6-second participant EEG signals, and the model is much better than 72.05%, 79.7% and 79.49% for support vector machine, K nearest neighbor and decision tree. In addition, we found that the model achieved a 100% probability of correctly classifying the EEG signals of 300-second participants.

Can NeuroIS improve executive employee recruitment? Classifying levels of executive functions using resting state EEG and data science methods

Based on the assumption that the success of an organization is largely determined by the knowledge and skills of its employees, human resource (HR) departments invest considerable resources in the employee recruitment process with the aim of selecting the best, most suitable employees. Due to the high cost of the recruitment process along with its high rate of uncertainty, HR recruiters utilize a variety of methods and instruments to improve the efficiency and effectiveness of this process. Thus far, however, neurological methods, in which neurobiological signals from an examined person are analyzed, have not been utilized for this purpose. This study is the first to propose a neuro-based decision support system to classify cognitive functions into levels, whose target is to enrich the information and indications regarding the candidate along the employee recruitment processes. We first measured relevant functional and cognitive abilities of 142 adult participants using traditional computer-based assessment, which included a battery of four tests regarding executive functions and intelligence score, consistent with actual recruitment processes. Second, using electroencephalogram (EEG) technology, which is one of the dominant measurement tools in NeuroIS research, we collected the participants' brain signals by administering a resting state EEG (rsEEG) on each participant. Finally, using advanced machine and deep learning algorithms, we leveraged the collected rsEEG to classify participants' levels of executive functions and intelligence score. Our empirical analyses show encouraging results of up to 72.6% accuracy for the executive functions and up to 71.2% accuracy for the intelligence score. Therefore, this study lays the groundwork for a novel, generic (non-stimuli based) system that supports the current employee recruitment processes, that is based on psychological theories of assessing executive functions. The proposed decision support system could contribute to the development of additional medium of assessing employees remotely which is especially relevant in the current Covid-19 pandemic. While our method aims at classification rather than at explanation, our intriguing findings have the potential to push forward NeuroIS research and practice. © 2023 Elsevier B.V.

AI Recruitment System Using EEG to Explore the Truth of Interviewers

COVID-19 pandemic is behind the implementation of the "AI recruitment system.” The number of companies trying to introduce AI recruitment systems is increasing because the non-face-to-face method is recommended due to the COVID-19 pandemic and the management change of the organization comes with the development of IT technology. Behind the positive evaluation that the development of AI technology improves the efficiency of work, the demand for fair and transparent recruitment procedures has been increasing as controversy over fairness and objectivity has increased due to various hiring irregularities. This study aimed to approach in a more systematic and scientific way to maximize the effect of recruiting talent. In the previous study, voice and video were identified based on ML. In situations where the problem of truth and falsehood is raised, this study conducted EEG-based biological experimental studies with a deep learning method to explore more objectively. Also, the experimental design applied biological experiments between brain activity patterns and brain regions as signals from EEG-based 14 channels to explore the truth/false authenticity of the experimenters. As a result of the experiment, the best performance and effect were shown in the CNN model with an accuracy of 91% truth and 89% false among the comparative analysis of Decision Tree, Random Forest, and CNN. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.