Optimal design for parameter estimation in EEG problems in a 3D multilayered domain by H. T. Banks, D. Rubio, N. Saintier, M. I. Troparevsky

“…These are usually formulated as optimization problems and the accuracy of their solutions depends not only on the chosen optimization scheme but also on the given data.We consider an electromagnetic interrogation problem, specifically one arising in an electroencephalography (EEG) problem, of finding optimal number and locations for sensors for source identification in a 3D unit sphere from data on its boundary. …”
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A High-Performance Lossless Compression Scheme for EEG Signals Using Wavelet Transform and Neural Network Predictors by N. Sriraam

“…Of the different 1D medical signals, electroencephalography (EEG) data is of great importance to the neurologist for detecting brain-related disorders. …”
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What can neurofeedback and transcranial alternating current stimulation reveal about cross-frequency coupling? by Mária Orendáčová, Eugen Kvašňák

“…In recent years, the dynamics and function of cross-frequency coupling (CFC) in electroencephalography (EEG) have emerged as a prevalent area of investigation within the research community. …”
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Using artificial intelligence to optimize anti-seizure treatment and EEG-guided decisions in severe brain injury by Zade Akras, Jin Jing, M. Brandon Westover, Sahar F. Zafar

“…Electroencephalography (EEG) is invaluable in the management of acute neurological emergencies. …”
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onEEGwaveLAD: A fully automated online EEG wavelet-based learning adaptive denoiser for artefacts identification and mitigation. by Luca Longo, Richard B Reilly

“…With the popularity of Brain-Computer Interfaces and the application of Electroencephalography in daily activities and other ecological settings, there is an increasing need for robust, online, near real-time denoising techniques, without additional reference signals, that is fully automated and does not require human supervision nor multi-channel information. …”
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Evidence-Based Cerebral Vasospasm Surveillance by Heather Kistka, Michael C. Dewan, J. Mocco

“…First, evidence related to the most common modalities, including transcranial doppler ultrasonography and computed tomography, are reviewed. Continuous electroencephalography and older instruments such as positron emission tomography, xenon-enhanced CT, and single-photon emission computed tomography are also discussed. …”
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Key shifts in frontoparietal network activity in Parkinson’s disease by Ronen Sosnik, Firas Fahoum, Zoya Katzir, Anat Mirelman, Inbal Maidan

“…To that end, 68 PD patients and 30 controls underwent electroencephalography (EEG) recording while executing visual single- and dual- Go/No-go tasks. …”
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Neurocranial Pharmacodialysis Device for subarachnoid hemorrhage treatment—a perspective by Nandor Ludvig

“…This neuroengineered system, implantable in the neurocranium, can perform subarachnoid drug delivery, edema drainage, neurotoxin dialysis, and electroencephalography (EEG) recording for years, hence its therapeutic potential in SAH as a Neurocranial Pharmacodialysis Device (NPD). …”
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Emotion Recognition from EEG Signals Using Advanced Transformations and Deep Learning by Jonathan Axel Cruz-Vazquez, Jesús Yaljá Montiel-Pérez, Rodolfo Romero-Herrera, Elsa Rubio-Espino

“…Brain activity related to emotional states can be captured through electroencephalography (EEG), enabling the creation of models that classify emotions even in uncontrolled environments. …”
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Influence of Enhanced Perceptual Features on Development of Neural Specialization for Arabic Print in Early Readers by Roa’a Alsulaiman, Tracy M. Centanni

“…Reading was assessed and electroencephalography (EEG) responses were collected from 49 first-grade children in the UAE (N = 27 IQRA treatment, N = 22 control) while completing a single EEG task at the end of the school year. …”
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The neuroscientific basis of flow: Learning progress guides task engagement and cognitive control by Hairong Lu, Dimitri Van der Linden, Arnold B. Bakker

“…Results showed that task engagement, indicated by feelings of flow and low distractibility, is a function of learning progress. Electroencephalography data further revealed that learning progress is associated with enhanced proactive preparation (e.g., reduced pre-stimulus contingent negativity variance and parietal alpha desynchronization) and improved feedback processing (e.g., increased P3b amplitude and parietal alpha desynchronization). …”
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A Task-Related EEG Microstate Clustering Algorithm Based on Spatial Patterns, Riemannian Distance, and a Deep Autoencoder by Shihao Pan, Tongyuan Shen, Yongxiang Lian, Li Shi

“…Background: The segmentation of electroencephalography (EEG) signals into a limited number of microstates is of significant importance in the field of cognitive neuroscience. …”
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EEG personal recognition based on ‘qualified majority’ over signal patches by Andrea Panzino, Giulia Orrù, Gian Luca Marcialis, Fabio Roli

“…Abstract Electroencephalography (EEG)‐based personal recognition in realistic contexts is still a matter of research, with the following issues to be clarified: (1) the duration of the signal length, called ‘epoch’, which must be very short for practical purposes and (2) the contribution of EEG sub‐bands. …”
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A Pre-Activation Residual Convolutional Network With Attention Modules for High-Resolution Segmented EEG Emotion Recognition by Ioannis Charalampous, Christos Mavrokefalidis, Kostas Berberidis

“…Emotion recognition based on electroencephalography (EEG) signals has attracted considerable research interest over the past few years and several potential applications have been proposed such as enhancing human-computer interaction, improving mental health diagnosis, and fine-tuning the customer experience at the marketing level. …”
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Simultaneous Dataset of Brain, Eye and Hand during Visuomotor Tasks by Hao Zhang, Yiqing Hu, Yang Li, Shuangyu Zhang, XiaoLi Li, Chenguang Zhao

“…Functional near-infrared spectroscopy and electroencephalography to record brain activity simultaneously facilitate more precise capture of the complex visuomotor of brain mechanisms. …”
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Imagine going left versus imagine going right: whole-body motion on the lateral axis by K. Patel, J. Stotter, M. C. Pali, I. Giannopulu

“…In the current study, a 32 electroencephalography (EEG) system was used to identify the oscillatory neural signature linked with lateral axis motor imagery. …”
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Frontal engagement in perceptual integration under low subjective visibility by Jisub Bae, Koeun Jung, Oliver James, Satoru Suzuki, Yee Joon Kim

“…We kept the stimulus parameters at a fixed near-threshold level throughout the experiment and recorded electroencephalography from participants who reported the orientation and subjective visibility of the illusory triangle on each trial. …”
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Impairment of Neuroplasticity in the Dorsolateral Prefrontal Cortex by Alcohol by Genane Loheswaran, Mera S. Barr, Reza Zomorrodi, Tarek K. Rajji, Daniel M. Blumberger, Bernard Le Foll, Zafiris J. Daskalakis

“…Paired associative stimulation (PAS) combined with electroencephalography (EEG) was used for the induction and measurement of associative LTP-like neuroplasticity in the DLPFC. …”
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Unraveling cerebroprotective potential of fenchone: A combined in vivo and in silico exploration of nitric oxide synthase modulation by Bangaru Mamatha, Anka Rao Areti, DSNBK Prasanth, Narender Malothu

“…Our results indicated a significant reduction in cerebral infarction size and improvements in electroencephalography (EEG) signal magnitude with FEN treatment. …”
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Directional Spatial and Spectral Attention Network (DSSA Net) for EEG-based emotion recognition by Jiyao Liu, Lang He, Haifeng Chen, Dongmei Jiang

“…Significant strides have been made in emotion recognition from Electroencephalography (EEG) signals. However, effectively modeling the diverse spatial, spectral, and temporal features of multi-channel brain signals remains a challenge. …”
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