Use of Both Eyes-Open and Eyes-Closed Resting States May Yield a More Robust Predictor of Motor Imagery BCI Performance by Moonyoung Kwon, Hohyun Cho, Kyungho Won, Minkyu Ahn, Sung Chan Jun

“…Thus, advance prediction of BCI performance has drawn researchers’ attention, and some predictors have been proposed using the alpha band’s power, as well as other spectral bands’ powers, or spectral entropy from resting state electroencephalography (EEG). However, these predictors rely on a single state alone, such as the eyes-closed or eyes-open state; thus, they may often be less stable or unable to explain inter-/intra-subject variability. …”
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Recent Developments in Diagnosis of Epilepsy: Scope of MicroRNA and Technological Advancements by Ritam Bandopadhyay, Tanveer Singh, Mohammed M. Ghoneim, Sultan Alshehri, Efthalia Angelopoulou, Yam Nath Paudel, Christina Piperi, Javed Ahmad, Nabil A. Alhakamy, Mohamed A. Alfaleh, Awanish Mishra

“…Herein, we provide a comprehensive overview of the current diagnostic tools of epilepsy, including electroencephalography (EEG) as well as structural and functional neuroimaging. …”
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Advancements in EEG Emotion Recognition: Leveraging Multi-Modal Database Integration by Ahmed Roshdy, Abdullah Karar, Samer Al Kork, Taha Beyrouthy, Amine Nait-ali

“…This paper addresses the limitations of relying solely on facial expressions for emotion recognition by proposing an advanced approach that emphasizes continuous monitoring of electroencephalography (EEG) signals. Recognizing the potential for deception in facial expressions, our study leverages the growing interest in EEG signals, tapping into advancements in deep learning and machine learning. …”
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Development of Artificial Intelligence for Determining Major Depressive Disorder Based on Resting-State EEG and Single-Pulse Transcranial Magnetic Stimulation-Evoked EEG Indices by Yoshihiro Noda, Kento Sakaue, Masataka Wada, Mayuko Takano, Shinichiro Nakajima

“…Thus, the present study aimed to develop an artificial intelligence (AI) model to aid in the diagnosis of depression from electroencephalography (EEG) data by applying machine learning to resting-state EEG and transcranial magnetic stimulation (TMS)-evoked EEG acquired from patients with depression and healthy controls. …”
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Misdiagnosis of rarest subtype of sporadic Creutzfeldt Jakob Disease: a case report by Aemal Aziz Jabarkhil, Aziz Rahman Rasib, Abdullah Asady, Farhad Farzam

“…Based on clinical features and rapid symptoms progression the likely diagnosis of CJD was suspected. MRI and electroencephalography (EEG) were advised. MRI revealed features of diffuse cortical injury of both cerebral hemispheres also involving bilateral corpus striatum with evidence of cerebral volume loss. …”
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Virtual and Reality: A Neurophysiological Pilot Study of the Sarcophagus of the Spouses by Andrea Giorgi, Stefano Menicocci, Maurizio Forte, Vincenza Ferrara, Marco Mingione, Pierfrancesco Alaimo Di Loro, Bianca Maria Serena Inguscio, Silvia Ferrara, Fabio Babiloni, Alessia Vozzi, Vincenzo Ronca, Giulia Cartocci

“…To address such a target, a neuroaesthetic study was performed in which electroencephalography (EEG) and autonomic signals (heart rate and skin conductance) were recorded during the observation of the Etruscan artifact “Sarcophagus of the Spouses”, both in the museum and in a VR reproduction. …”
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Interpretable many-class decoding for MEG by Richard Csaky, Mats W.J. van Es, Oiwi Parker Jones, Mark Woolrich

“…Multivariate pattern analysis (MVPA) of Magnetoencephalography (MEG) and Electroencephalography (EEG) data is a valuable tool for understanding how the brain represents and discriminates between different stimuli. …”
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EEG components of inhibitory control ability in internet gaming disorder: A systematic review and meta‐analysis of randomized controlled trials by Junjian Yu, Mohammad Farris Iman Leong Abdullah, Nor Shuhada Mansor

“…Despite the accumulating evidence on this topic, the research conclusion on whether people with IGD have worse inhibition control ability than healthy controls remains inconsistent, and the lack of effective electroencephalography prediction indicators further complicates this issue. …”
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Multiscale Fluctuation Dispersion Entropy of EEG as a Physiological Biomarker of Schizotypy by Ahmad Zandbagleh, Hamed Azami, Sattar Mirzakuchaki, Mohammad Reza Daliri, Saeid Sanei, Preethi Premkumar

“…Altered electroencephalography (EEG) activity in schizotypal individuals is a powerful indicator of proneness towards psychosis. …”
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The effect of neural pre-stimulus oscillations on post-stimulus somatosensory event-related potentials in disorders of consciousness by Laura Lindenbaum, Laura Lindenbaum, Inga Steppacher, Alexandra Mehlmann, Johanna Maria Kissler, Johanna Maria Kissler

“…Here, we examine to what extent pre-stimulus electroencephalography band power in DoC relates to post-stimulus ERPs in a similar way as previously documented in healthy people. 14 DoC patients in an unresponsive wakefulness syndrome (UWS, N = 2) or a minimally conscious state (MCS, N = 12) participated in this study. …”
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Evaluation of Life Quality in Epilepsy Patients and Review of Psychiatric Diagnosis by Aylin BİCAN DEMİR, Pınar UZUN USLU, Gülfer ATASAYAR, Oğuzhan KILINÇEL, Cengiz AKKAYA, İbrahim BORA

“…Our aim in this study was to determine the quality of life and psychiatric diagnoses in patients with epilepsy and to investigate the effects they have on anxiety and depression.Methods:This study comprised 161 patients with epilepsy, whose anamnesis, neuroimaging, electroencephalography (EEG), neuropsychometric tests and psychiatric consultations took place at the epilepsy clinic. …”
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Quantitative assessment of training effects using EksoGT® exoskeleton in Parkinson's disease patients: A randomized single blind clinical trial by M. Romanato, F. Spolaor, C. Beretta, F. Fichera, A. Bertoldo, D. Volpe, Z. Sawacha

“…Functional magnetic resonance imaging coupled with electroencephalography will be used to determine modifications at the CNS level. …”
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A Modified Aquila-Based Optimized XGBoost Framework for Detecting Probable Seizure Status in Neonates by Khondoker Mirazul Mumenin, Prapti Biswas, Md. Al-Masrur Khan, Ali Saleh Alammary, Abdullah-Al Nahid

“…Electroencephalography (EEG) is increasingly being used in pediatric neurology and provides opportunities to diagnose various brain illnesses more accurately and precisely. …”
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A robotic arm control system with simultaneous and sequential modes combining eye-tracking with steady-state visual evoked potential in virtual reality environment by Rongxiao Guo, Yanfei Lin, Xi Luo, Xiaorong Gao, Shangen Zhang

“…For simultaneous mode, target classification was realized by decision-level fusion of electroencephalography (EEG) and eye-gaze. The stimulus duration for each subject was non-fixed, which was determined by an adjustable window method. …”
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Individual Alpha Peak Frequency, an Important Biomarker for Live Z-Score Training Neurofeedback in Adolescents with Learning Disabilities by Rubén Pérez-Elvira, Javier Oltra-Cucarella, José Antonio Carrobles, Minodora Teodoru, Ciprian Bacila, Bogdan Neamtu

“…Learning disabilities (LDs) have an estimated prevalence between 5% and 9% in the pediatric population and are associated with difficulties in reading, arithmetic, and writing. Previous electroencephalography (EEG) research has reported a lag in alpha-band development in specific LD phenotypes, which seems to offer a possible explanation for differences in EEG maturation. …”
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No change in network connectivity measurements between separate rsfMRI acquisition times by Elliot G. Neal, Samantha Schimmel, Zeegan George, Molly Monsour, Adam Alayli, Gavin Lockard, Keaton Piper, Stephanie Maciver, Fernando L. Vale, Yarema B. Bezchlibnyk

“…Prior studies have shown that by rsfMRI with scalp electroencephalography (EEG), an epileptogenic network can be modeled and visualized with characteristic patterns of connectivity that are relevant to both seizure-related and neuropsychological outcomes after surgery. …”
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Stability of transcranial magnetic stimulation electroencephalogram evoked potentials in pediatric epilepsy by Xiwei She, Kerry C. Nix, Christopher C. Cline, Wendy Qi, Sergei Tugin, Zihuai He, Fiona M. Baumer

“…Abstract Transcranial magnetic stimulation paired with electroencephalography (TMS–EEG) can measure local excitability and functional connectivity. …”
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Dynamic Community Detection for Brain Functional Networks During Music Listening With Block Component Analysis by Yongjie Zhu, Jia Liu, Fengyu Cong

“…We apply the proposed method to the study of the reorganization of the dynamic brain networks from electroencephalography (EEG) data recorded during free music listening. …”
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A Brain Controlled Command-Line Interface to Enhance the Accessibility of Severe Motor Disabled People to Personnel Computer by Sofien Gannouni, Kais Belwafi, Mohammad Reshood Al-Sulmi, Meshal Dawood Al-Farhood, Omar Ali Al-Obaid, Abdullah Mohammed Al-Awadh, Hatim Aboalsamh, Abdelfettah Belghith

“…This paper contributes in this direction by proposing an integrated framework to control the operating system functionalities using Electroencephalography signals. Different signal processing algorithms were applied to remove artifacts, extract features, and classify trials. …”
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EEG resting-state networks in Alzheimer’s disease associated with clinical symptoms by Yasunori Aoki, Rei Takahashi, Yuki Suzuki, Roberto D. Pascual-Marqui, Yumiko Kito, Sakura Hikida, Kana Maruyama, Masahiro Hata, Ryouhei Ishii, Masao Iwase, Etsuro Mori, Manabu Ikeda

“…We used exact low-resolution-brain-electromagnetic-tomography independent-component-analysis (eLORETA-ICA) to assess activities of five electroencephalography resting-state-networks (EEG-RSNs) in 90 drug-free AD patients and 11 drug-free patients with mild-cognitive-impairment due to AD (ADMCI). …”
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