Multi-Classification of Motor Imagery EEG Signals Using Bayesian Optimization-Based Average Ensemble Approach by Souha Kamhi, Shuai Zhang, Mohamed Ait Amou, Mohamed Mouhafid, Imran Javaid, Isah Salim Ahmad, Isselmou Abd El Kader, Ummay Kulsum

“…Motor Imagery (MI) classification using electroencephalography (EEG) has been extensively applied in healthcare scenarios for rehabilitation aims. …”
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High-dimensional multivariate autoregressive model estimation of human electrophysiological data using fMRI priors by Alliot Nagle, Josh P. Gerrelts, Bryan M. Krause, Aaron D. Boes, Joel E. Bruss, Kirill V. Nourski, Matthew I. Banks, Barry Van Veen

“…The effectiveness of the method is demonstrated using simulation studies of physiologically realistic MVAR models derived from intracranial electroencephalography (iEEG) data. The robustness of the approach to deviations between the conditions under which the prior information and iEEG data is obtained is illustrated using models from data collected in different sleep stages. …”
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Biometric Analysis in Design Cognition Studies: A Systematic Literature Review by Rongrong Yu, Gabrielle Schubert, Ning Gu

“…Utilising biometric measurements such as electroencephalography (EEG), functional magnetic resonance imaging (fMRI) and eye-tracking, more objective data can be obtained about the physiological responses of designers during their performing of design activities, and such empirical data can then be analysed without relying on designers to self-report. …”
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A Novel Convolutional Neural Network Classification Approach of Motor-Imagery EEG Recording Based on Deep Learning by Amira Echtioui, Ayoub Mlaouah, Wassim Zouch, Mohamed Ghorbel, Chokri Mhiri, Habib Hamam

“…Recently, Electroencephalography (EEG) motor imagery (MI) signals have received increasing attention because it became possible to use these signals to encode a person’s intention to perform an action. …”
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Catch the drift: Depressive symptoms track neural response during more efficient decision-making for negative self-referents by Peter J. Castagna, Allison C. Waters, Elizabeth V. Edgar, Rotem Budagzad-Jacobson, Michael J. Crowley

“…Methods: A sample of 106 adolescents, aged 12 to 17 (53% male; Mage = 14.49, SD = 1.70), completed the SRET with concurrent high-density electroencephalography and self-report measures of depression and anxiety. …”
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The impact of internal-generated contextual clues on EFL vocabulary learning: insights from EEG by Weichen Zhou, Xia Wu

“…A total of 26 university students were enrolled and underwent electroencephalography (EEG). Based on a within-subjects design, all participants learned two groups of vocabulary words through a series of video clips under two conditions: one where the contexts were externally provided and the other where participants themselves generated the contexts. …”
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Time-Varying Functional Connectivity of Rat Brain during Bipedal Walking on Unexpected Terrain by Honghao Liu, Bo Li, Pengcheng Xi, Yafei Liu, Fenggang Li, Yiran Lang, Rongyu Tang, Nan Ma, Jiping He

“…To address the question, we trained 6 rats with blocked vision to walk bipedally on a treadmill with a random uneven area. Whole-brain electroencephalography signals were recorded by 32-channel implanted electrodes. …”
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Reorganization of Thalamic Inputs to Lesioned Cortex Following Experimental Traumatic Brain Injury by Xavier Ekolle Ndode-Ekane, Maria del Mar Puigferrat Pérez, Rossella Di Sapia, Niina Lapinlampi, Asla Pitkänen

“…Optical stimulation of the sensory thalamus increased alpha activity in electroencephalography by 312% in controls (<i>p ></i> 0.05) and 237% (<i>p ></i> 0.05) in TBI rats compared with the baseline. …”
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Assessment of Biomechanical Predictors of Occurrence of Low-Amplitude N1 Potentials Evoked by Naturally Occurring Postural Instabilities by Rahul Goel, Sho Nakagome, William H. Paloski, Jose L. Contreras-Vidal, Pranav J. Parikh

“…Here, we propose a framework and show its utility by examining cortical activity (through electroencephalography [EEG]), ground reaction forces, and head acceleration in the anterior-posterior (AP) direction. …”
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Cortical reorganization to improve dynamic balance control with error amplification feedback by Yi-Ching Chen, Yi-Ying Tsai, Gwo-Ching Chang, Ing-Shiou Hwang

“…With regional activities and inter-regional connectivity of electroencephalography (EEG), this study investigated underlying cortical mechanisms associated with improvement of postural balance using EA. …”
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Epilepsy in patients with multiple sclerosis: specific features of diagnosis and therapy by Yu. A. Belova, T. I. Yaukushina, I. G. Rudakova, S. V. Kotov

“…If they had any indications, the patients underwent brain contrast-enhanced magnetic resonance imaging (MRI) (at least 1.5 T) and electroencephalography (EEG), EDSS health assessment, antiepileptic therapy (AET) analysis and correction. …”
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Simplicial Homology Global Optimization of EEG Signal Extraction for Emotion Recognition by Ahmed Roshdy, Samer Al Kork, Taha Beyrouthy, Amine Nait-ali

“…In recent years, the use of Electroencephalography (EEG) signals has become a popular method for emotion recognition, thanks to advances in deep learning and machine learning techniques. …”
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Non-invasive, multimodal analysis of cortical activity, blood volume and neurovascular coupling in infantile spasms using EEG-fNIRS monitoring by Emilie Bourel-Ponchel, Mahdi Mahmoudzadeh, Aline Delignières, Patrick Berquin, Fabrice Wallois

“…Keywords: Infantile spasm, Neurovascular coupling, Cerebral blood volume, Electroencephalography, Optical imaging…”
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The effect of EEG and fNIRS in the digital assessment and digital therapy of Alzheimer’s disease: a systematic review by Yucheng Zhang, Yue Zhang, Zhouhao Jiang, Mengxue Xu, Kunqiang Qing

“…In this research, we sought to review the effectiveness of digital treatment based on monitoring using functional near-infrared spectroscopy (fNIRS) and electroencephalography (EEG). This work searched four electronic databases using a keyword approach and focused on journals focusing on AD and geriatric cognition. …”
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The Power of ECG in Semi-Automated Seizure Detection in Addition to Two-Channel behind-the-Ear EEG by Miguel Bhagubai, Kaat Vandecasteele, Lauren Swinnen, Jaiver Macea, Christos Chatzichristos, Maarten De Vos, Wim Van Paesschen

“…Long-term home monitoring of people living with epilepsy cannot be achieved using the standard full-scalp electroencephalography (EEG) coupled with video. Wearable seizure detection devices, such as behind-the-ear EEG (bte-EEG), offer an unobtrusive method for ambulatory follow-up of this population. …”
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Deep learning-based automated detection and multiclass classification of focal interictal epileptiform discharges in scalp electroencephalograms by Yoon Gi Chung, Woo-Jin Lee, Sung Min Na, Hunmin Kim, Hee Hwang, Chang-Ho Yun, Ki Joong Kim

“…This study proposes deep learning-based models to detect focal IEDs in electroencephalography (EEG) recordings of the frontal, temporal, and occipital scalp regions. …”
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Investigating the attentional focus to workplace-related soundscapes in a complex audio-visual-motor task using EEG by Marc Rosenkranz, Timur Cetin, Verena N. Uslar, Martin G. Bleichner, Martin G. Bleichner

“…Here we study, using mobile electroencephalography (EEG), how humans process workplace-related soundscapes while performing a complex audio-visual-motor task (3D Tetris). …”
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Multimodal deep neural decoding reveals highly resolved spatiotemporal profile of visual object representation in humans by Noriya Watanabe, Kosuke Miyoshi, Koji Jimura, Daisuke Shimane, Ruedeerat Keerativittayayut, Kiyoshi Nakahara, Masaki Takeda

“…In this study, we explored the spatial and temporal organization of visual object representations using concurrent fMRI and electroencephalography (EEG), combined with neural decoding using deep neural networks (DNNs). …”
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Models and algorithms of brain connectivity, spatial sparsity, and temporal dynamics for the MEG/EEG inverse problem by Lamus Garcia Herreros, Camilo

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A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy by Shafi, Mouhsin M., Whitfield-Gabrieli, Susan, Chu, Catherine J., Pascual-Leone, Alvaro, Chang, Bernard S.

“…When combined with electroencephalography (EEG), TMS can be used to assess the brain's response to external perturbations. …”
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