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Computational Synaptic Modeling of Pitch and Duration Mismatch Negativity in First-Episode Psychosis Reveals Selective Dysfunction of the N-Methyl-D-Aspartate Receptor Clin. EEG Neurosci. (IF 2.0) Pub Date : 2024-03-27 F. López-Caballero, R. Auksztulewicz, Z. Howard, R.E. Rosch, J. Todd, D.F Salisbury
Mismatch negativity (MMN) to pitch (pMMN) and to duration (dMMN) deviant stimuli is significantly more attenuated in long-term psychotic illness compared to first-episode psychosis (FEP). It was recently shown that source-modeling of magnetically recorded MMN increases the detection of left auditory cortex MMN deficits in FEP, and that computational circuit modeling of electrically recorded MMN also
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Applying Common Spatial Pattern and Convolutional Neural Network to Classify Movements via EEG Signals Clin. EEG Neurosci. (IF 2.0) Pub Date : 2024-03-25 Sepideh Zolfaghari, Tohid Yousefi Rezaii, Saeed Meshgini
Developing an electroencephalography (EEG)-based brain–computer interface (BCI) system is crucial to enhancing the control of external prostheses by accurately distinguishing various movements through brain signals. This innovation can provide comfortable circumstances for the populace who have movement disabilities. This study combined the most prospering methods used in BCI systems, including one-versus-rest
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Electrophysiological and Cognitive Changes in Hard Coal Miners Associated with Working Underground Clin. EEG Neurosci. (IF 2.0) Pub Date : 2024-03-14 Samet Çelik, Ebru Yıldırım, Bahar Güntekin
Miners working underground face some risk factors that affect the nervous system—such as high noise, dark environment, chronic stress, and exposure to toxic gases. However, it is not known whether these risk factors affect the cognition of miners. In this study, the cognitive changes of miners were examined through event-related oscillations via electroencephalogram (EEG). Twenty underground miners
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Resting-state EEG as Biomarker of Maladaptive Motor Function and Depressive Profile in Stroke Patients Clin. EEG Neurosci. (IF 2.0) Pub Date : 2024-03-10 Lucas M. Marques, Sara Pinto Barbosa, Anna Carolyna Gianlorenço, K. Pacheco-Barrios, Daniel R. Souza, Denise Matheus, Linamara Battistella, Marcel Simis, Felipe Fregni
Objective: Investigate the relationship between resting-state EEG-measured brain oscillations and clinical and demographic measures in Stroke patients. Methods: We performed a cross-sectional analysis of a cohort study (DEFINE cohort), Stroke arm, with 85 patients, considering demographic, clinical, and stroke characteristics. Resting-state EEG relative power from delta, theta, alpha, and beta oscillations
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Characteristics of ADHD Symptoms and EEG Theta/Beta Ratio in Children With Sleep Disordered Breathing Clin. EEG Neurosci. (IF 2.0) Pub Date : 2024-02-26 Dandi Ma, Yunxiao Wu, Changming Wang, Fujun Zhao, Zhifei Xu, Xin Ni
Objectives. This study aimed to explore parent-reported symptoms of attention deficit-hyperactivity disorder (ADHD) and sleep electroencephalogram (EEG) theta/beta ratio (TBR) characteristics in children with sleep disordered breathing (SDB). Methods. The parents of children (aged 6-11 years) with SDB (n = 103) and healthy controls (n = 28) completed the SNAP-IV questionnaire, and children underwent
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Ictal Asystole During Focal Seizures Due to Left Occipital Glioneuronal Tumor: A Report of Case Treated With Cardiac Neuromodulation Clin. EEG Neurosci. (IF 2.0) Pub Date : 2024-02-26 Tuba Guney, Mert Demirel, Ulufer Celebi, Kudret Aytemir, F. Irsel Tezer, Cem Coteli, Hikmet Yorgun, Serap Saygi
Ictal asystole (IA) is a rare but potentially life-threatening complication of focal epilepsy. The sudden onset of loss of consciousness and drop attacks in a patient with chronic epilepsy should suggest the possibility of this complication. Once the diagnosis is established, rapid management should be considered, especially in high-risk cases. The approach does not differ between temporal and extratemporal
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Effectiveness of Low-Resolution Brain Electromagnetic Tomography Z Score Neurofeedback Comparison with Cognitive Rehabilitation in Depression and Anxiety in Opioid Use Disorder Clin. EEG Neurosci. (IF 2.0) Pub Date : 2024-02-20 Alireza Faridi, Farhad Taremian, Robert W. Thatcher
Background: Previous studies have shown that conventional neurofeedback (NFB) and cognitive rehabilitation can improve psychological outcomes in people with opioid use disorders (OUDs). However, the effectiveness of Low-Resolution Brain Electromagnetic Tomography (LORETA) Z-score neurofeedback (LZNFB) and attention bias modification training (ABMT) on depression and anxiety of these people has not
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Clinical Implications of Various Electroencephalographic Patterns in Post-Stroke Seizures. The Utility of Routine Electroencephalogram Clin. EEG Neurosci. (IF 2.0) Pub Date : 2024-02-07 Erum Shariff, Saima Nazish, Azra Zafar, Rizwana Shahid, Norah A. AlKhaldi, Modhi Saad A. Alkhaldi, Danah AlJaafari, Nehad M. Soltan, Mohammed AlShurem, Aishah Ibrahim Albakr, Feras AlSulaiman, Majed Alabdali
Objective: Post-stroke seizures (PSS) are one of the major stroke-related complications. Early therapeutic interventions are critical therefore using electroencephalography (EEG) as a predictive tool for future recurrence may be helpful. We aimed to assess frequencies of different EEG patterns in patients with PSS and their association with seizure recurrence and functional outcomes. Methods: All patients
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Spatial Decoding for Gaze Independent Brain–Computer Interface Based on Covert Visual Attention Shift Using Electroencephalography Clin. EEG Neurosci. (IF 2.0) Pub Date : 2024-02-05 Nupur Chugh, Swati Aggarwal
The gaze-independent brain–computer interface (BCI) device is used to re-establish interaction for individuals who have abnormal eye movement. It may be possible to control the BCI by shifting your attention spatially. However, spatial attention is rarely employed to increase the effectiveness of target detection and is typically used to provide a simple “yes” or “no” response to the target recognition
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An ERP Study of Face Processing in Schizophrenia, Bipolar Disorder, and Socially Isolated Individuals from the Community Clin. EEG Neurosci. (IF 2.0) Pub Date : 2024-02-01 Lauren T. Catalano, Jonathan K. Wynn, Naomi I. Eisenberger, William P. Horan, Junghee Lee, Amanda McCleery, David J. Miklowitz, Eric A. Reavis, L. Felice Reddy, Michael F. Green
People with schizophrenia (SCZ) and bipolar disorder (BD) have impairments in processing social information, including faces. The neural correlates of face processing are widely studied with the N170 ERP component. However, it is unclear whether N170 deficits reflect neural abnormalities associated with these clinical conditions or differences in social environments. The goal of this study was to determine
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Is Visual Prediction Impaired in Adolescents with Autism spectrum Disorder? Event-Related Potentials in a Cued Visual GO/NOGO Task Clin. EEG Neurosci. (IF 2.0) Pub Date : 2024-02-01 Linda A. Häger, Anne L. Høyland, Juri D. Kropotov, Jakob Åsberg Johnels, Benhard Weidle, Stig Hollup, Christopher Gillberg, Eva Billstedt, Geir Ogrim
Aim: Deviant visual processing has been observed in autism spectrum disorder (ASD), manifesting as decreased P1 and P2 components of visual event-related potentials (ERPs). Alterations have been attributed to a failure of Bayesian inference, characterized by hypo-activation of top-down predictive abilities. To test this hypothesis, we measured the visual negativity (vN) as an ERP index of visual preparation
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Portable Headband Electroencephalogram in the Detection of Absence Epilepsy Clin. EEG Neurosci. (IF 2.0) Pub Date : 2024-02-01 Douglas R. Nordli, Kaila Fives, Fernando Galan
The accuracy of headband electroencephalogram (EEG) was compared to traditional EEG in pediatric patients with absence epilepsy. This study enrolled 10 patients with previously diagnosed absence epilepsy and examined the concordance of headband EEG and traditional EEG in the follow-up EEG of treated absence epilepsy. The study found a concordant result in 80% of cases providing a signal that absence
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Evidentiary Significance of Routine EEG in Refractory Cases: A Paradigm Shift in Psychiatry Clin. EEG Neurosci. (IF 2.0) Pub Date : 2024-01-19 Ronald J. Swatzyna, Lorrianne M. Morrow, Diana M. Collins, Emma A. Barr, Alexandra J. Roark, Robert P. Turner
Over the past decade, the Diagnostic and Statistical Manual's method of prescribing medications based on presenting symptoms has been challenged. The shift toward precision medicine began with the National Institute of Mental Health and culminated with the World Psychiatric Association's posit that a paradigm shift is needed. This study supports that shift by providing evidence explaining the high
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Understanding the Pathophysiology of Mental Diseases and Early Diagnosis Thanks to Electrophysiological Tools: Some Insights and Empirical Facts Clin. EEG Neurosci. (IF 2.0) Pub Date : 2024-01-19 Tomiki Sumiyoshi, Salvatore Campanella, Giulia Maria Giordano, Ryouhei Ishii, Oliver Pogarell
Objective. Neurophysiological tools remain indispensable instruments in the assessment of psychiatric disorders. These techniques are widely available, inexpensive and well tolerated, providing access to the assessment of brain functional alterations. In the clinical psychiatric context, electrophysiological techniques are required to provide important information on brain function. While there is
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Evaluation of Brain Electrical Activity of Visual Working Memory with Time-Frequency Analysis Clin. EEG Neurosci. (IF 2.0) Pub Date : 2024-01-16 Gökçer Eskikurt, Adil Deniz Duru, Numan Ermutlu, Ümmühan İşoğlu-Alkaç
The term visual working memory (VWM) refers to the temporary storage of visual information. In electrophysiological recordings during the change detection task which relates to VWM, contralateral negative slow activity was detected. It was found to occur during the information is kept in memory and it was called contralateral delay activity. In this study, the characteristics of electroencephalogram
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Application of Hybrid DeepLearning Architectures for Identification of Individuals with Obsessive Compulsive Disorder Based on EEG Data Clin. EEG Neurosci. (IF 2.0) Pub Date : 2024-01-09 Shams Farhad, Sinem Zeynep Metin, Çağlar Uyulan, Sahar Taghi Zadeh Makouei, Barış Metin, Türker Tekin Ergüzel, Nevzat Tarhan
Objective: Obsessive-compulsive disorder (OCD) is a highly common psychiatric disorder. The symptoms of this condition overlap and co-occur with those of other psychiatric illnesses, making diagnosis difficult. The availability of biomarkers could be useful for aiding in diagnosis, although prior neuroimaging studies were unable to provide such biomarkers. Method: In this study, patients with OCD were
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Hyperventilation Induced Seizures in Focal Epilepsy: Two Cases and a Review of Literature Clin. EEG Neurosci. (IF 2.0) Pub Date : 2024-01-03 Anna Milan, Majed Alzahrany, Ajay Gupta
We report two cases of temporo-perisylvian epilepsy with habitual seizures consistently inducible by hyperventilation (HV). One case was non-lesional, while the other was a lesional temporo-perisylvian epilepsy. Both underwent surgical resection and were seizure-free or nearly seizure-free thereafter. We discuss the pathophysiological changes evoked by HV in healthy brains, and those with generalized
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Editorial: 100th year anniversary of the discovery of electroencephalography. Clin. EEG Neurosci. (IF 2.0) Pub Date : 2023-11-23 Dean F Salisbury,Derek Fisher,Giorgio Di Lorenzo
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Electroencephalography Prediction of Neurological Outcomes After Hypoxic-Ischemic Brain Injury: A Systematic Review and Meta-Analysis. Clin. EEG Neurosci. (IF 2.0) Pub Date : 2023-11-08 Xina Ding,Zhixiao Shen
Background. Predicting neurological outcomes after hypoxic-ischemic brain injury (HIBI) is difficult. Objective. Electroencephalography (EEG) can identify acute and subacute brain abnormalities after hypoxic brain injury and predict HIBI recovery. We examined EEG's ability to predict neurologic outcomes following HIBI. Method. A PRISMA-compliant search was conducted in the Medline, Embase, Cochrane
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Introduction of the Special Issue on "Neurophysiology/Neuroimaging Study in Japan". Clin. EEG Neurosci. (IF 2.0) Pub Date : 2023-10-19 Toshiaki Onitsuka
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Assessment of Classical and Non-Classical Quantitative Electroencephalographic Measures in Patients with Substance Use Disorders. Clin. EEG Neurosci. (IF 2.0) Pub Date : 2023-10-17 Alioth Guerrero-Aranda,Francisco Javier Alvarado-Rodríguez,Andrea Enríquez-Zaragoza,Jaime Carmona-Huerta,Andrés Antonio González-Garrido
Background: People diagnosed with substance use disorders (SUDs) are at risk for impairment of brain function and structure. However, physicians still do not have any clinical biomarker of brain impairment that helps diagnose or treat these patients when needed. The most common method to study these patients is the classical electroencephalographic (EEG) analyses of absolute and relative powers, but
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Resting-state Electroencephalography Microstates Correlate with Pain Intensity in Patients with Complex Regional Pain Syndrome. Clin. EEG Neurosci. (IF 2.0) Pub Date : 2023-10-16 Michihiro Osumi,Masahiko Sumitani,Katsuyuki Iwatsuki,Minoru Hoshiyama,Ryota Imai,Shu Morioka,Hitoshi Hirata
Objective: Severe pain and other symptoms in complex regional pain syndrome (CRPS), such as allodynia and hyperalgesia, are associated with abnormal resting-state brain network activity. No studies to date have examined resting-state brain networks in CRPS patients using electroencephalography (EEG), which can clarify the temporal dynamics of brain networks. Methods: We conducted microstate analysis
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Quantitative Electroencephalography Objectivity and Reliability in the Diagnosis and Management of Traumatic Brain Injury: A Systematic Review. Clin. EEG Neurosci. (IF 2.0) Pub Date : 2023-10-04 Francesco Amico,Jaroslaw Lucas Koberda
Background. Persons with a history of traumatic brain injury (TBI) may exhibit short- and long-term cognitive deficits as well as psychiatric symptoms. These symptoms often reflect functional anomalies in the brain that are not detected by standard neuroimaging. In this context, quantitative electroencephalography (qEEG) is more suitable to evaluate non-normative activity in a wide range of clinical
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The Hybrid Deep Learning Model for Identification of Attention-Deficit/Hyperactivity Disorder Using EEG. Clin. EEG Neurosci. (IF 2.0) Pub Date : 2023-09-08 Nupur Chugh,Swati Aggarwal,Arnav Balyan
Common misbehavior among children that prevents them from paying attention to tasks and interacting with their surroundings appropriately is attention-deficit/hyperactivity disorder (ADHD). Studies of children's behavior presently face a significant problem in the early and timely diagnosis of this disease. To diagnose this disease, doctors often use the patient's description and questionnaires, psychological
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Comparison of Spectral Analysis of Gamma Band Activity During Actual and Imagined Movements as a Cognitive Tool. Clin. EEG Neurosci. (IF 2.0) Pub Date : 2023-09-05 Jitendra Kumawat,Anuradha Yadav,Kavita Yadav,Kusum Lata Gaur
Background. Imagined motor movement is a cognitive process in which a subject imagines a movement without doing it, which activates similar brain regions as during actual motor movement. Brain gamma band activity (GBA) is linked to cognitive functions such as perception, attention, memory, awareness, synaptic plasticity, motor control, and Imagination. Motor imagery can be used in sports to improve
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Deep Brain Stimulator (DBS) Artifact in the EEG of a Pediatric Patient. Clin. EEG Neurosci. (IF 2.0) Pub Date : 2023-08-23 Jennifer V Gettings,Robert C Stowe
We report the first case of deep brain stimulator (DBS) artifact in the EEG of a pediatric patient. Our case is a 7-year-old male with bilateral globus pallidus interna (GPi) DBS for whom the EEG recorded a rhythmic 7.5 Hz theta activity on EEG related to DBS artifact. This artifact was also appreciated as a monochromatic invariable frequency band over 7.5 Hz on density spectral array (DSA). This rhythmic
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A Comparative Investigation of Wavelet Families for Classification of EOG Signals Related to Healthy and ADHD Children. Clin. EEG Neurosci. (IF 2.0) Pub Date : 2023-08-22 Shahrzad Ayoubipour,Nasrin Sho'ouri
Based on previous research, there are differences between eye movements of people with attention-deficit hyperactivity disorder (ADHD) and of healthy people, as a result, the existence of differences regarding the electrooculogram (EOG) signals of the 2 groups exists. Thus, this study aimed to examine the recorded EOG signals of 30 ADHD children and 30 healthy children while performing an attention-related
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Enhanced Punishment Responses in Patients With Schizophrenia: An Event-Related Potential Study. Clin. EEG Neurosci. (IF 2.0) Pub Date : 2023-08-10 Özge Akgül,Ezgi Fide,Fatih Özel,Köksal Alptekin,Emre Bora,Berna Binnur Akdede,Görsev Yener
It is well known that abnormal reward processing is a characteristic feature of various psychopathologies including schizophrenia. Reduced reward anticipation has been suggested as a core symptom of schizophrenia. The Monetary Incentive Delay Task (MID) is frequently used to detect reward anticipation. The present study aims to evaluate the amplitude and latency of event-related potential (ERP) P300
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Predictive Value of qEEG in Manic Switch of Depressed Patients. Clin. EEG Neurosci. (IF 2.0) Pub Date : 2023-07-31 Mehmet Kemal Arıkan,Reyhan İlhan,Mahmut Taha Özulucan,Muhammed Taha Esmeray,Mehmet Güven Günver
BACKGROUNDS More than half of the patients with bipolar disorder (BD) had depressive episodes at the onset of BD. Despite some suggested clinical predictors, there are no certain criteria for predicting which unipolar depression patient switch to manic episodes during the treatment course. Electrophysiological markers can address this issue. METHODS Pretreatment quantitative electroencephalography
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Ictal EEG: Etiology and Mortality in Older Adults With Nonconvulsive Status Epilepticus. Clin. EEG Neurosci. (IF 2.0) Pub Date : 2023-07-27 Glória M A S Tedrus
Clinical-electroencephalogram (EEG), as well as etiological and prognostic data on subtypes of nonconvulsive status epilepticus (NCSE) are yet to be established. Objective: Evaluate the clinical semiology and EEG findings and prognostic data of older adults with NCSE. Methodology: Characterize the clinical-EEG and prognostic data in the subtypes of NCSE in older adults consecutively admitted to the
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Special Issue: Update on Neural Oscillations in Neuropsychiatric Disorders. Clin. EEG Neurosci. (IF 2.0) Pub Date : 2023-07-01 Bahar Güntekin,Brian F O'Donnell
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How Can a Focal Seizure Lead to a Dacrystic Behavior? A Case Analyzed with Functional Connectivity in Stereoelectroencephalography. Clin. EEG Neurosci. (IF 2.0) Pub Date : 2023-06-20 Barbara Marx,Samuel Medina-Villalon,Fabrice Bartolomei,Stanislas Lagarde
We present a case of a patient with focal non-motor emotional seizures with dacrystic expression in the context of drug-resistant magnetic resonance imaging negative epilepsy. The pre-surgical evaluation suggested a hypothesis of a right fronto-temporal epileptogenic zone. Stereoelectroencephalography recorded dacrystic seizures arising from the right anterior operculo-insular (pars orbitalis) area
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The Prevalence and Risk Factors of Electrical Status Epilepticus During Slow-Wave Sleep in Self-Limited Epilepsy With Centrotemporal Spikes. Clin. EEG Neurosci. (IF 2.0) Pub Date : 2023-06-18 Guangshuang Lu,Yun Cheng,Yun Wang,Jie Hu,Fan Zhang,Wenbo Li,Minnong Xia,Xiaoyan Lu,Wu Yang
Objective. To investigate the prevalence and risk factors for electrical status epilepticus during slow-wave sleep (ESES) in patients with self-limited epilepsy with centrotemporal spikes (SeLECTS). Methods. The clinical and follow-up data of children with SeLECTS were collected between 2017 and 2021. Patients were divided into typical ESES, atypical ESES, and non-ESES groups according to spike-wave
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Transcranial Alternating Current Stimulation Alters Auditory Steady-State Oscillatory Rhythms and Their Cross-Frequency Couplings. Clin. EEG Neurosci. (IF 2.0) Pub Date : 2023-06-12 Sara de la Salle,Joëlle Choueiry,Mark Payumo,Matt Devlin,Chelsea Noel,Ali Abozmal,Molly Hyde,Renée Baysarowich,Brittany Duncan,Verner Knott
Auditory cortical plasticity deficits in schizophrenia are evidenced with electroencephalographic (EEG)-derived biomarkers, including the 40-Hz auditory steady-state response (ASSR). Aiming to understand the underlying oscillatory mechanisms contributing to the 40-Hz ASSR, we examined its response to transcranial alternating current stimulation (tACS) applied bilaterally to the temporal lobe of 23
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An Improved AlexNet Model and Cepstral Coefficient-Based Classification of Autism Using EEG. Clin. EEG Neurosci. (IF 2.0) Pub Date : 2023-05-29 R Menaka,R Karthik,S Saranya,M Niranjan,S Kabilan
Autism is a neurodevelopmental disorder that cannot be completely cured, but early intervention during childhood can improve outcomes. Identifying autism spectrum disorder (ASD) has relied on subjective detection methods that involve questionnaires, medical professionals, and therapists and are subject to observer variability. The need for early diagnosis and the limitations of subjective detection
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Connectivity Disturbances in Self-Limited Epilepsy with Centrotemporal Spikes: A Partial Directed Coherence Analysis of Electroencephalogram. Clin. EEG Neurosci. (IF 2.0) Pub Date : 2023-05-25 Ching-Tai Chiang,Rei-Cheng Yang,Yu-Chia Kao,Rong-Ching Wu,Chen-Sen Ouyang,Lung-Chang Lin
Although the remission of self-limited epilepsy with centrotemporal spikes (SeLECTS) usually occurs by adolescence, deficits in cognition and behavior are not uncommon. Several functional magnetic resonance imaging (fMRI) studies have revealed connectivity disturbances in patients with SeLECTS associated with cognitive impairment. However, the disadvantages of fMRI are expensive, time-consuming, and
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Ikelos-RWA. Validation of an Automatic Tool to Quantify REM Sleep Without Atonia. Clin. EEG Neurosci. (IF 2.0) Pub Date : 2023-05-16 Alexandra Papakonstantinou,Jannis Klemming,Martin Haberecht,Dieter Kunz,Frederik Bes
Study Objectives. To present and evaluate an automatic scoring algorithm for quantification of REM-sleep without atonia (RWA) in patients with REM-sleep behaviour disorder (RBD) based on a generally accepted, well-validated visual scoring method, ("Montreal" phasic and tonic) and a recently developed, concise scoring method (Ikelos-RWA). Methods. Video-polysomnographies of 20 RBD patients (68.2 ± 7
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Decreased Resting-State Alpha Self-Synchronization in Depressive Disorder Clin. EEG Neurosci. (IF 2.0) Pub Date : 2023-03-21 Yousef Mohammadi, Mohadeseh Shafiei Kafraj, Carina Graversen, Mohammad Hassan Moradi
Background. Depression disorder has been associated with altered oscillatory brain activity. The common methods to quantify oscillatory activity are Fourier and wavelet transforms. Both methods hav...
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qEEG in the Diagnosis and Prognosis of a Case with Delusional Infestation Clin. EEG Neurosci. (IF 2.0) Pub Date : 2023-03-21 Mehmet Kemal Arıkan, Reyhan İlhan, Mahmut Taha Ozulucan, Murat Aşık
Stroke can have neuropsychological consequences, such as poststroke psychosis. One aspect of poststroke psychosis is delusional infestation (DI), also known as delusional parasitosis. Patients with...
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Source Localization and Spectrum Analyzing of EEG in Stuttering State upon Dysfluent Utterances Clin. EEG Neurosci. (IF 2.0) Pub Date : 2023-01-10 Masoumeh Bayat, Reza Boostani, Malihe Sabeti, Fariba Yadegari, Mohammadreza Pirmoradi, KS Rao, Mohammad Nami
Purpose: The present study which addressed adults who stutter (AWS) attempted to investigate power spectral dynamics in the stuttering state by answering the questions using quantitative electroenc...
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EEG Asymmetry Characteristics in Relation to Childhood Anxiety Subtypes: A Dimensional Approach Clin. EEG Neurosci. (IF 2.0) Pub Date : 2023-01-05 Nathaniel A. Shanok, Nancy Aaron Jones
Introduction: Right frontal EEG asymmetry has been a commonly neurophysiological marker of anxiety and depressive symptoms throughout development. Method: In the current study, EEG asymmetry measur...
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Classification of BCI Multiclass Motor Imagery Task Based on Artificial Neural Network Clin. EEG Neurosci. (IF 2.0) Pub Date : 2023-01-05 Amira Echtioui, Wassim Zouch, Mohamed Ghorbel, Chokri Mhiri, Habib Hamam
Motor imagery (MI) signals recorded by electroencephalography provide the most practical basis for conceiving brain-computer interfaces (BCI). These interfaces offer a high degree of freedom. This ...
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Gamma Oscillations and Potassium Channel Modulation in Schizophrenia: Targeting GABAergic Dysfunction Clin. EEG Neurosci. (IF 2.0) Pub Date : 2023-01-02 Stephen J. Kaar, Judith F. Nottage, Ilinca Angelescu, Tiago Reis Marques, Oliver D. Howes
Impairments in gamma-aminobutyric acid (GABAergic) interneuron function lead to gamma power abnormalities and are thought to underlie symptoms in people with schizophrenia. Voltage-gated potassium ...
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QEEG Characterizations During Hyperventilation, Writing and Reading Conditions: A Pre–Post Cognitive-Behavioral Intervention Study on Students with Learning Difficulty Clin. EEG Neurosci. (IF 2.0) Pub Date : 2023-01-02 Pratima Kaushik
Background: Electroencephalography (EEG) has been used to measure neural correlates of cognitive and social development in children for decades. It is essential to evaluate the relationship between...
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Response to Hydrocortisone in an Extremely Preterm Neonate With Late-Onset Sepsis, Meningoencephalitis, and Drug-Resistant Seizures Clin. EEG Neurosci. (IF 2.0) Pub Date : 2022-12-25 Ralf Eberhard, Katryn Paquette, Jarred Garfinkle, Kenneth A. Myers
Corticosteroids are commonly used in children with bacterial meningitis; however, there are very few data regarding possible utility in neonates, particularly those born premature. We describe our ...
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Proactive and Reactive Inhibitory Control Strategies: Exploring the Impact of Interindividual Variables on an ERP Continuous Performance Task (AX-CPT) Clin. EEG Neurosci. (IF 2.0) Pub Date : 2022-12-22 Elisa Schröder, Anais Ingels, Alexandru Dumitrescu, Charles Kornreich, Salvatore Campanella
According to the Dual Mechanisms of Control (DMC) framework, cognitive control can be divided into two strategies: proactive cognitive control, which relies mainly on the active maintenance of cont...
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EEG Characteristics Before and After Dexmedetomidine Treatment in Severe Patients: A Prospective Study Clin. EEG Neurosci. (IF 2.0) Pub Date : 2022-12-20 Yujie Ma, Hongbin Zhang, Jijia Bai, Jinyuan Zhu
Background. Bedside electroencephalography (EEG) can monitor the changes in brain function in critical patients. Light sedation is recommended in intensive care unit (ICU) patients, but sedation mi...
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Epilepsy Surgery Outcome of Traumatic Intradiploic Meningoencephalocele: A Case Report and Literature Review Clin. EEG Neurosci. (IF 2.0) Pub Date : 2022-12-15 Faisal Alsallom, Majed Alzahrany, Jorge Gonzalez-Martinez, Lara Jehi
We highlight an under-recognized epileptic pathology in a 56-year-old left-handed female with progressive right facial numbness and weekly focal seizures characterized by episodic aphasia. She was ...
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High-Density (HD) Scalp EEG Findings in “Benign” Childhood Epilepsy with Centrotemporal Spikes (BCECTS) Clin. EEG Neurosci. (IF 2.0) Pub Date : 2022-12-14 Sonal Bhatia, Andrew Todd Ham, Ekrem Kutluay
Despite characteristic clinical and scalp EEG findings, BCECTS pathophysiology is unclear regarding involvement of large-scale neuronal networks. Higher number of scalp electrodes with HD-EEG may p...
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Age-dependent Electroencephalogram Characteristics During Different Levels of Anesthetic Depth Clin. EEG Neurosci. (IF 2.0) Pub Date : 2022-12-12 Feixiang Li, Yaoyao Dang, Xuan Zhang, Huimin Chen, Yuechun Lu, Yonghao Yu
Objective The monitoring of anesthetic depth based on electroencephalogram derivation is not currently adjusted for age. Here we analyze the influence of age factors on electroencephalogram charact...
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Resting-state Quantitative EEG Spectral Patterns in Migraine During Ictal Phase Reveal Deviant Brain Oscillations: Potential Role of Density Spectral Array Clin. EEG Neurosci. (IF 2.0) Pub Date : 2022-12-06 Pooja Ojha, Samhita Panda
Background. Migraine headache may have a substantial bearing on the brain functions and rhythms. Electrophysiological methods can detect changes in brain oscillation. The present work examined the ...
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QEEG Predictors of Treatment Response in Major Depressive Disorder- A Replication Study from Northwest India Clin. EEG Neurosci. (IF 2.0) Pub Date : 2022-11-29 Akashdeep Singh, Priti Arun, Gurvinder Pal Singh, Damanjeet Kaur, Simranjit Kaur
Background: Predicting treatment response with antidepressant is a challenging task for clinicians and researchers. An important limitation of an antidepressant trial is the increased time spent be...
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Yield of Sleep Deprivation EEG in Suspected Epilepsy. A Retrospective Study Clin. EEG Neurosci. (IF 2.0) Pub Date : 2022-11-27 Alioth Guerrero-Aranda, Andrea Enríquez-Zaragoza, Karla López-Jiménez, Andrés Antonio González-Garrido
Background. Sleep is an activation procedure and is considered the most potent and best-documented modulator of seizures and interictal epileptiform discharges (IEDs) on electroencephalogram (EEG)....
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Oscillatory Activities in Multiple Frequency Bands in Patients with Schizophrenia During Motion Perception Clin. EEG Neurosci. (IF 2.0) Pub Date : 2022-11-27 C. Başar-Eroğlu, K.M. Küçük, L. Rürup, C. Schmiedt-Fehr, B. Mathes
Patients with schizophrenia show impairment in binding stimulus features into coherent objects, which are reflected in disturbed oscillatory activities. This study aimed to identify disturbances in...
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The Relationship Between Cannabinoids and Neural Oscillations: How Cannabis Disrupts Sensation, Perception, and Cognition Clin. EEG Neurosci. (IF 2.0) Pub Date : 2022-11-25 Shariful A. Syed, Ashley M. Schnakenberg Martin, Jose A. Cortes-Briones, Patrick D. Skosnik
Disruptions in neural oscillations are believed to be one critical mechanism by which cannabinoids, such as delta-9-tetrahyrdrocannabinol (THC; the primary psychoactive constituent of cannabis), pe...
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Multimodal Assessment of Smoking cue Reactivity During a Smoking Cue Exposure Task Clin. EEG Neurosci. (IF 2.0) Pub Date : 2022-11-25 A.M. Kroczek, B. Schröder, D. Rosenbaum, A. Mühleck, J. Diemer, A. Mühlberger, A. J. Fallgatter, A. Batra, A.-C. Ehlis
Background. Cue-reactivity as a characteristic symptom of substance use disorders (SUD) is highly context dependent. Paradigms with high context validity need to be established for the investigatio...
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What a Single Electroencephalographic (EEG) Channel Can Tell us About Alzheimer's Disease Patients With Mild Cognitive Impairment Clin. EEG Neurosci. (IF 2.0) Pub Date : 2022-11-22 Claudio Del Percio, Susanna Lopez, Giuseppe Noce, Roberta Lizio, Federico Tucci, Andrea Soricelli, Raffaele Ferri, Flavio Nobili, Dario Arnaldi, Francesco Famà, Carla Buttinelli, Franco Giubilei, Moira Marizzoni, Bahar Güntekin, Görsev Yener, Fabrizio Stocchi, Laura Vacca, Giovanni B. Frisoni, Claudio Babiloni
Abnormalities in cortical sources of resting-state eyes closed electroencephalographic (rsEEG) rhythms recorded by hospital settings (10-20 montage) with 19 scalp electrodes characterized Alzheimer...
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Is There a Difference in EEG Characteristics in Acute, Chronic, and Experimentally Induced Musculoskeletal Pain States? a Systematic Review Clin. EEG Neurosci. (IF 2.0) Pub Date : 2022-11-14 Jerin Mathew, Tyson Michael Perez, Divya Bharatkumar Adhia, Dirk De Ridder, Ramakrishnan Mani
Electroencephalographic (EEG) alterations have been demonstrated in acute, chronic, and experimentally induced musculoskeletal (MSK) pain conditions. However, there is no cumulative evidence on the...
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Effects of Four Different EEG-Neurofeedback Reinforcement Types in Healthy Individuals – A Pilot Study Clin. EEG Neurosci. (IF 2.0) Pub Date : 2022-11-13 Roland Mergl, Susanne Karch, Jennifer Henl, Dorothea Meindl, Felix Schöpf, Szilard I. Szabo, Paulina Hallweger, Philipp Heiler, Maximilian Maywald, Nadja Tschentscher, Antje-Kathrin Allgaier, Oliver Pogarell
EEG neurofeedback (EEG-NFB) is a promising tool for the treatment of depressive disorders. However, many methods for the presentation of neurobiological reactions are available and it is widely unk...
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The Deep Learning Method Differentiates Patients with Bipolar Disorder from Controls with High Accuracy Using EEG Data Clin. EEG Neurosci. (IF 2.0) Pub Date : 2022-11-06 Barış Metin, Çağlar Uyulan, Türker Tekin Ergüzel, Shams Farhad, Elvan Çifçi, Ömer Türk, Nevzat Tarhan
Background: Bipolar disorder (BD) is a mental disorder characterized by depressive and manic or hypomanic episodes. The complexity in the diagnosis of Bipolar disorder (BD) due to its overlapping s...