Motor Imagery Classification Using Inter-Task Transfer Learning via a Channel-Wise Variational Autoencoder-Based Convolutional Neural Network by Do-Yeun Lee, Ji-Hoon Jeong, Byeong-Hoo Lee, Seong-Whan Lee

“…In this study, we focused on various forearm movement decoding from electroencephalography (EEG) signals using a small number of samples. …”
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Changes in cardiac autonomic nervous system activity during a course of electroconvulsive therapy by Yoko Suzuki, Miho Miyajima, Katsuya Ohta, Noriko Yoshida, Takafumi Watanabe, Mayo Fujiwara, Masaki Okumura, Mitsuru Nakamura, Tetsuo Sasano, Tokuhiro Kawara, Masato Matsuura, Eisuke Matsushima

“…Methods We recorded electroencephalography and electrocardiography during electroconvulsive therapy in 12 patients with major depressive disorder. …”
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Bickerstaff encephalitis in childhood: a review of 74 cases in the literature from 1951 to today by Luca Gregorio Giaccari, Donatella Mastria, Rosella Barbieri, Rossella De Maglio, Francesca Madaro, Gianfranco Paiano, Maria Caterina Pace, Pasquale Sansone, Giuseppe Pulito, Luciana Mascia

“…The diagnosis is based on clinical findings and abnormal findings on cerebrospinal fluid (CSF), electroencephalography (EEG), electromyography (EMG), and magnetic resonance imaging (MRI). …”
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osl-dynamics, a toolbox for modeling fast dynamic brain activity by Chetan Gohil, Rukuang Huang, Evan Roberts, Mats WJ van Es, Andrew J Quinn, Diego Vidaurre, Mark W Woolrich

“…At its core are machine learning generative models that are able to adapt to the data and learn the timing, as well as the spatial and spectral characteristics, of brain activity with few assumptions. osl-dynamics incorporates state-of-the-art approaches that can be, and have been, used to elucidate brain dynamics in a wide range of data types, including magneto/electroencephalography, functional magnetic resonance imaging, invasive local field potential recordings, and electrocorticography. …”
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Embodied strategies for public speaking anxiety: evaluation of the Corp-Oral program by Alfonso García-Monge, Alfonso García-Monge, Santiago Guijarro-Romero, Santiago Guijarro-Romero, Eduardo Santamaría-Vázquez, Eduardo Santamaría-Vázquez, Lucio Martínez-Álvarez, Lucio Martínez-Álvarez, Nicolás Bores-Calle, Nicolás Bores-Calle

“…Self-perceived anxiety, heart rate, and electroencephalography were measured in a pre-test and a post-test.ResultsThe study reveals that the Corp-Oral program significantly (p < 0.005) reduced both physiological responses (heart rate) and self-reported measures of anxiety. …”
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Measuring neuronal avalanches to inform brain-computer interfaces by Marie-Constance Corsi, Pierpaolo Sorrentino, Denis Schwartz, Nathalie George, Leonardo L. Gollo, Sylvain Chevallier, Laurent Hugueville, Ari E. Kahn, Sophie Dupont, Danielle S. Bassett, Viktor Jirsa, Fabrizio De Vico Fallani

“…To test this hypothesis, we used source-reconstructed magneto/electroencephalography during resting state and a motor imagery task performed within a BCI protocol. …”
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Interictal Spike and Loss of Hippocampal Theta Rhythm Recorded by Deep Brain Electrodes during Epileptogenesis by Xiaoxuan Fu, Youhua Wang, Abdelkader Nasreddine Belkacem, Yingxin Cao, Hao Cheng, Xiaohu Zhao, Shenghua Chen, Chao Chen

“…In this paper, a loss of theta rhythm was estimated based on time–frequency power using the longitudinal electroencephalography (EEG), recorded by deep brain electrodes (e.g., the intracortical microelectrodes such as stereo-EEG electrodes) with monitored epileptic spikes in a rat from the first region in the hippocampal circuit. …”
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A Connectivity-Aware Graph Neural Network for Real-Time Drowsiness Classification by Zhuoli Zhuang, Yu-Kai Wang, Yu-Cheng Chang, Jia Liu, Chin-Teng Lin

“…Drowsy driving is one of the primary causes of driving fatalities. Electroencephalography (EEG), a method for detecting drowsiness directly from brain activity, has been widely used for detecting driver drowsiness in real-time. …”
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A Review of The Dynamical Systems Modeling of Epileptic Seizures For Onset Prediction by H. A. Agboola, C. Solebo, D. S. Aribike, Alfred A. Susu, F. E. A. Lesi

“…The most commonly encountered forms of epilepsy are generalized absence epilepsy and temporal lobe epilepsy. The electroencephalography (EEG) which is the recording of the fluctuating electric field of the brain is the major clinical diagnostic tool for epilepsy and also a vital source of data for epilepsy research. …”
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Transcranial Pulsed-Current Stimulation versus Transcranial Direct Current Stimulation in Patients with Disorders of Consciousness: A Pilot, Sham-Controlled Cross-Over Double-Blind... by Alice Barra, Martin Rosenfelder, Sepehr Mortaheb, Manon Carrière, Geraldine Martens, Yelena G. Bodien, Leon Morales-Quezada, Andreas Bender, Steven Laureys, Aurore Thibaut, Felipe Fregni

“…This pilot study was a randomized, double-blind sham-controlled clinical trial with three sessions: bi-mastoid tPCS, prefrontal tDCS, and sham. Electroencephalography (EEG) and behavioral assessments were collected before and after each stimulation session. …”
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Seizure Pathways Changes at the Subject-Specific Level via Dynamic Step Effective Network Analysis by Jie Sun, Yan Niu, Yanqing Dong, Xubin Wu, Bin Wang, Mengni Zhou, Jie Xiang, Jiuhong Ma

“…Multichannel stereo-electroencephalography (sEEG) signals were acquired with ictal processes involving continuous changes in information propagation. …”
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A survey of data element perspective: Application of artificial intelligence in health big data by Honglin Xiong, Hongmin Chen, Li Xu, Hong Liu, Lumin Fan, Lumin Fan, Qifeng Tang, Qifeng Tang, Qifeng Tang, Hsunfang Cho, Hsunfang Cho

“…Large amounts of clinical data from electronic medical records (EMRs), electronic health records (EHRs), and electroencephalography records (EEGs) have been generated and collected at an unprecedented speed and scale. …”
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Silent EEG-Speech Recognition Using Convolutional and Recurrent Neural Network with 85% Accuracy of 9 Words Classification by Darya Vorontsova, Ivan Menshikov, Aleksandr Zubov, Kirill Orlov, Peter Rikunov, Ekaterina Zvereva, Lev Flitman, Anton Lanikin, Anna Sokolova, Sergey Markov, Alexandra Bernadotte

“…In this work, we focus on silent speech recognition in electroencephalography (EEG) data of healthy individuals to advance brain–computer interface (BCI) development to include people with neurodegeneration and movement and communication difficulties in society. …”
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An Approach toward Artificial Intelligence Alzheimer’s Disease Diagnosis Using Brain Signals by Seyed-Ali Sadegh-Zadeh, Elham Fakhri, Mahboobe Bahrami, Elnaz Bagheri, Razieh Khamsehashari, Maryam Noroozian, Amir M. Hajiyavand

“…Background: Electroencephalography (EEG) signal analysis is a rapid, low-cost, and practical method for diagnosing the early stages of dementia, including mild cognitive impairment (MCI) and Alzheimer’s disease (AD). …”
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Genotype and phenotype spectrum of 10 children with STXBP1 gene-related encephalopathy and epilepsy by Meng Dong, Tianyu Zhang, Ruimei Hu, Meng Li, Guan Wang, Xinjie Liu

“…The patients developed multiple seizure types and abnormal electroencephalography (EEG) results at onset, and focal seizures were the most frequent seizure type. …”
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Effects of short-term spinal cord stimulation on patients with prolonged disorder of consciousness: A pilot study by Yutong Zhuang, Yi Yang, Long Xu, Xueling Chen, Xiaoli Geng, Jizong Zhao, Jizong Zhao, Jianghong He, Jianghong He

“…All patients were divided into two types of frequency treatment groups of 5 Hz and 70 Hz according to the postoperative electroencephalography (EEG) test. The efficacy was assessed based on the revised coma recovery scale (CRS-R).ResultsThe results showed a significant increase in CRS-R scores after treatment (Z = −3.668, p < 0.001) without significant adverse effects. …”
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Brain‐oscillation-synchronized stimulation to enhance motor recovery in early subacute stroke: a randomized controlled double‐blind three‐ arm parallel‐group exploratory trial comp... by Anne Lieb, Brigitte Zrenner, Christoph Zrenner, Gábor Kozák, Peter Martus, Christian Grefkes, Ulf Ziemann

“…Here we will apply a highly innovative technology that synchronizes rTMS to specific brain states identified by real-time analysis of electroencephalography. Methods One hundred forty-four patients with early subacute ischemic motor stroke will be included in a multicenter 3-arm parallel, randomized, double-blind, standard rTMS and sham rTMS-controlled exploratory trial in Germany. …”
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Convulsive behaviors of spontaneous recurrent seizures in a mouse model of extended hippocampal kindling by Anya Zahra, Yuqing Sun, Nancy Aloysius, Liang Zhang, Liang Zhang

“…Middle-aged C57 black mice experienced ≥80 hippocampal stimulations (delivered twice daily) and then underwent continuous 24 h electroencephalography (EEG)-video monitoring for SRS detection. …”
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Long-term-video monitoring EEG and 18F-FDG-PET are useful tools to detect residual disease activity in anti-LGI1-Abs encephalitis: A case report by Sara Cornacchini, Sara Cornacchini, Antonio Farina, Margherita Contento, Margherita Contento, Valentina Berti, Valentina Berti, Martina Biggi, Martina Biggi, Alessandro Barilaro, Luca Massacesi, Luca Massacesi, Valentina Damato, Valentina Damato, Eleonora Rosati

“…BackgroundThe use of CD20-depleting monoclonal antibodies has shown to improve the long-term outcome of patients with anti-leucine-rich glioma-inactivated protein 1 antibodies (anti-LGI1-Abs) encephalitis after first-line immunotherapy, but currently predictive markers of treatment response and disease activity are lacking.Case presentationA 75-year-old man presented cognitive impairment and faciobrachial dystonic seizures (FBDS), with mild abnormalities at electroencephalography (EEG), normal brain magnetic resonance and cerebrospinal fluid (CSF) analysis. …”
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M1-P15 as a cortical marker for transcallosal inhibition: A preregistered TMS-EEG study by Agnese Zazio, Guido Barchiesi, Guido Barchiesi, Clarissa Ferrari, Eleonora Marcantoni, Marta Bortoletto

“…In a recently published study combining transcranial magnetic stimulation and electroencephalography (TMS-EEG), an early component of TMS-evoked potentials (TEPs), i.e., M1-P15, was proposed as a measure of transcallosal inhibition between motor cortices. …”
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