COMPARING BRAIN ACTIVITY OF ENTREPRENEURS AND NON-ENTREPRENEURS DURING CREATIVE THINKING AND OPPORTUNITY RECOGNITION by Burcu Demirkundak, Ayşe İrmiş, Hicran Utkun Dincer Aydın

“…Data were collected using Electroencephalography (EEG). The sample of the research consists of 35 participants (entrepreneurs and non-entrepreneurs). …”
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On the Inverse EEG Problem for a 1D Current Distribution by George Dassios, George Fragoyiannis, Konstantia Satrazemi

“…The immediate representation of this problem refers to the inverse problem of electroencephalography (EEG) with a linear current distribution and the spherical model of the brain-head system. …”
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Features of nervous system in children with irritable bowel syndrome by O. K. Botvin’yev, A. V. Yeremeyeva, Ali Mohamed Gamal Eldin Mansur, V. B. Lyalikova

“…Assessment of initial state of autonomous nervous system by electroencephalography and heart rate variability measurement (HRV) was carried out.Results. …”
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Seizure Associated Takotsubo Syndrome: A Rare Combination by Htay Htay Kyi, Nour Aljariri Alhesan, Sunil Upadhaya, Samer Al Hadidi

“…Echocardiogram showed apical hypokinesia, ejection fraction of 40%, and systolic anterior motion of mitral valve with hyperdynamic left ventricle, in the absence of intracoronary thrombus formation in the angiogram. Electroencephalography showed evidence of generalized tonic-clonic seizure. …”
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Clinical Brain Death with False Positive Radionuclide Cerebral Perfusion Scans by Sindhaghatta Venkatram, Sara Bughio, Gilda Diaz-Fuentes

“…Confirmatory ancillary tests for brain death include (a) tests of electrical activity (electroencephalography (EEG) and somatosensory evoked potentials) and (b) radiologic examinations of blood flow (contrast angiography, transcranial Doppler ultrasound (TCD), and radionuclide methods). …”
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Neural processing of naturalistic audiovisual events in space and time by Yu Hu, Yalda Mohsenzadeh

“…To address that, we curated naturalistic videos and recorded functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) data when participants viewed videos with accompanying sounds. …”
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Posterior Reversible Encephalopathy Syndrome with Bilateral Independent Epileptic Foci Precipitated By Guillain-Barrè Syndrome by Rosario Rossi, Maria Valeria Saddi, Alessandro Mela, Anna Ticca

“…SE resulted from a series of focal seizures clinically characterized by left- and rightward deviations of the head and consequent oculoclonic movements. Electroencephalography recorded independent seizure activity in both occipital regions with alternate involvement of the two cerebral hemispheres. …”
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Nonconvulsive Status Epilepticus Complicating Epstein-Barr Virus Encephalitis in a Child by Filippo Greco, Maria Donatella Cocuzza, Pierluigi Smilari, Giovanni Sorge, Lorenzo Pavone

“…We emphasize the importance of electroencephalography (EEG), and particularly, of continuous EEG monitoring for early recognition and appropriate treatment of this condition.…”
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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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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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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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