Encoding Cortical Dynamics in Sparse Features by Khan, Sheraz, Lefevre, Julien, Baillet, Sylvain, Michmizos, Konstantinos, Ganesan, Santosh, Kitzbichler, Manfred G., Zetino, Manuel, Hamalainen, Matti S., Papadelis, Christos, Kenet, Tal

“…Distributed cortical solutions of magnetoencephalography (MEG) and electroencephalography (EEG) exhibit complex spatial and temporal dynamics. …”
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Feature extraction from EEG signals and regularization for brain-computer interface by Mishuhina, Vasilisa

“…In our work, we use electroencephalography (EEG) that measures electric brain activity by electrodes located on the scalp. …”
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Jointly optimized ensemble deep random vector functional link network for semi-supervised classification by Shi, Qiushi, Suganthan, Ponnuthurai Nagaratnam, Del Ser, Javier

“…Moreover, we apply the proposed methods to real-world applications using the electroencephalography-based emotion recognition dataset to compare the performance of RVFL-based methods (RVFL, SS-RVFL, and JOSRVFL) and their edRVFL counterparts (edRVFL, SS-edRVFL, and JOSedRVFL). …”
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Epilepsy diagnosis from scalp EEG : a machine learning approach by Thomas, John

“…According to the International Federation of Societies for Electroencephalography and Clinical Neurophysiology (IFSECN), IEDs are defined as transients distinguishable from background activity, with a characteristic spiky morphology, typically, but neither exclusively nor invariably, found in interictal electroencephalograms (EEGs) of people with epilepsy. …”
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Clinical trial simulations based on genetic stratification and the natural history of a functional outcome measure in Creutzfeldt-Jakob disease by Mead, S, Burnell, M, Lowe, J, Thompson, A, Lukic, A, Porter, M, Carswell, C, Kaski, D, Kenny, J, Mok, T, Bjurstrom, N, Franko, E, Gorham, M, Druyeh, R, Wadsworth, J, Jaunmuktane, Z, Brandner, S, Hyare, H, Rudge, P, Walker, A, Collinge, J

“…We fitted linear mixed models to the outcome measurements, and simulated clinical trials involving 10 to 120 patients (no dropouts) with early to moderately advanced prion disease using model parameters to compare the power of various designs.A total of 2681 assessments were done using a functionally orientated composite end point (Medical Research Council Scale) and associated with clinical investigations (brain magnetic resonance imaging, electroencephalography, and cerebrospinal fluid analysis) and molecular data (prion protein [PrP] gene sequencing, PrPSc type).Of the 598 participants, 273 were men. …”

Mutual influences between memory and attention by Roüast, NM

“…Participants then had a nap opportunity during which electroencephalography was recorded. A subset of tunes was replayed during napping periods when the participant was judged to be in slow-wave sleep to reactivate spatial contextual memories linked to those particular scene categories, while tunes associated to the other categories were not replayed. …”

Quantification of inter-brain coupling: A review of current methods used in haemodynamic and electrophysiological hyperscanning studies by U Hakim, S De Felice, P Pinti, X Zhang, J．A Noah, Y Ono, P.W. Burgess, A Hamilton, J Hirsch, I Tachtsidis

“…Following the PRISMA guidelines, we reviewed 215 hyperscanning studies, across four different brain imaging modalities: functional near-infrared spectroscopy (fNIRS), functional magnetic resonance (fMRI), electroencephalography (EEG) and magnetoencephalography (MEG). …”
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FPGA-Based Hardware Implementation of a Stable Inverse Source Problem Algorithm in a Non-Homogeneous Circular Region by José Jacobo Oliveros-Oliveros, José Rubén Conde-Sánchez, Carlos Arturo Hernández-Gracidas, María Monserrat Morín-Castillo, José Julio Conde-Mones

“…The second one (Mode 2) reduces resource consumption by exploiting the characteristics of the source identification algorithm, which is an advantage for multichannel problems such as inverse electrocardiography or electroencephalography. Results: The architectures were tested on four devices of the 7 Series of Xilinx: Spartan-7 xc7s100fgga484, Virtex-7 xc7v585tffg1157, Kintex-7 xc7k70tfbg484, and Artix-7 xc7a35tcpg236. …”
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A polysomnographic study of slow-wave sleep loss in elderly patients with epilepsy by Sihang Wang, Meina Wu, Sangru Wu, Fang Lin, Xiaolin Ji, Jinzhu Yan

“…Methods: The video electroencephalography (VEEG) and polysomnogram (PSG) data from 44 elderly patients with epilepsy and 52 elderly patients with sleep disorders but without definite central nervous system diseases were analysed. …”
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The influence of inter-regional delays in generating large-scale brain networks of phase synchronization by N. Williams, A. Ojanperä, F. Siebenhühner, B. Toselli, S. Palva, G. Arnulfo, S. Kaski, J.M. Palva

“…Biophysical Network Models (BNMs) have demonstrated the influences of local oscillatory activity and inter-regional anatomical connections in generating alpha-band (8–12 Hz) networks of phase synchronization observed with Electroencephalography (EEG) and Magnetoencephalography (MEG). …”
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MRI-Based Personalized Transcranial Direct Current Stimulation to Enhance the Upper Limb Function in Patients with Stroke: Study Protocol for a Double-Blind Randomized Controlled T... by Yeun Jie Yoo, Hye Jung Park, Tae Yeong Kim, Mi-Jeong Yoon, Hyun-Mi Oh, Yoon Jung Lee, Bo Young Hong, Donghyeon Kim, Tae-Woo Kim, Seong Hoon Lim

“…The primary outcome measure for the motor recovery of the upper limb impairment is the Fugl–Meyer assessment for the upper extremity score at the end of the intervention, and the secondary measures include changes in the motor evoked potentials, the frequency power and coherence of the electroencephalography, performance in activities of daily living, and adverse events with a 1-month follow-up assessment. …”
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Non-Pharmacological Intervention for Personalizing Sleep Quality through Gentle Rocking Motion by Damiana-Maria Vulturar, Liviu-Ștefan Moacă, Ioana Maria Chețan, Ștefan Cristian Vesa, Teodora-Gabriela Alexescu, Cristina Grigorescu, Antigona Carmen Trofor, Mirela-Anca Stoia, Alexandra Floriana Nemes, Doina-Adina Todea

“…Polysomnography was conducted, recording electroencephalography, electrooculogram, electromyogram, respiratory effort, and other parameters. …”
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Confirmation of Cause of Death Via Comprehensive Autopsy and Whole Exome Molecular Sequencing in People With Epilepsy and Sudden Unexpected Death by C. Anwar A. Chahal, David J. Tester, Ahmed U. Fayyaz, Keerthi Jaliparthy, Nadeem A. Khan, Dongmei Lu, Mariha Khan, Aradhana Sahoo, Aiswarya Rajendran, Jennifer A. Knight, Michael A. Simpson, Elijah R. Behr, Elson L. So, Erik K. St. Louis, R. Ross Reichard, William D. Edwards, Michael J. Ackerman, Virend K. Somers

“…From 13 687 cases of sudden death, 656 (4.8%) had a history of seizures, including 368 confirmed by electroencephalography, 96 classified as SUDEP, 58 as non‐SUDEP, and 214 as unknown (insufficient records). …”
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The efficacy of non-invasive brain stimulation in the treatment of children and adolescents with Anorexia Nervosa: study protocol of a randomized, double blind, placebo-controlled... by Luciana Ursumando, Viviana Ponzo, Alessio Maria Monteleone, Deny Menghini, Elisa Fucà, Giulia Lazzaro, Romina Esposito, Silvia Picazio, Giacomo Koch, Valeria Zanna, Stefano Vicari, Floriana Costanzo

“…Neurophysiological measures will include transcranial magnetic stimulation (TMS) with electroencephalography and paired pulse TMS and repetitive TMS to investigate changes in PFC connectivity, reactivity and plasticity after treatment. …”
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A Deep Learning Neural Network Method Using Linear Eigenvalue Statistics for Schizophrenic EEG Data Classification by Haichun Liu, Lanzhen Li, Yumeng Ye, Changchun Pan, Genke Yang, Tao Chen, Tianhong Zhang, Jijun Wang, Caiming (Robert) Qiu

“…Electroencephalography (EEG) signals can be used as a neuroimaging indicator to analyze brain-related diseases and mental states, such as schizophrenia, which is a common and serious mental disorder. …”
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Identification of diagnostic markers for ASD: a restrictive interest analysis based on EEG combined with eye tracking by Binbin Sun, Bryan Wang, Bryan Wang, Zhen Wei, Zhe Feng, Zhi-Liu Wu, Walid Yassin, Walid Yassin, Walid Yassin, William S. Stone, Yan Lin, Xue-Jun Kong, Xue-Jun Kong

“…Electroencephalography (EEG) functional connectivity (EFC) and eye tracking (ET) have been explored as objective screening methods for autism spectrum disorder (ASD), but no study has yet evaluated restricted and repetitive behavior (RRBs) simultaneously to infer early ASD diagnosis. …”
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Captopril alleviates epilepsy and cognitive impairment by attenuation of C3-mediated inflammation and synaptic phagocytosis by Xinyan Dong, Jianchen Fan, Donghui Lin, Xuehui Wang, Haoyu Kuang, Lifen Gong, Chen Chen, Jie Jiang, Ningxiao Xia, Dahong He, Weida Shen, Peifang Jiang, Rong Kuang, Linghui Zeng, Yicheng Xie

“…We found that captopril efficiently suppressed the KA-induced epilepsy, as measured by electroencephalography. Moreover, captopril ameliorated the epilepsy-induced cognitive deficits, with improved performance in the Morris water maze, Y-maze and novel objective test. …”
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Distinct spatio-temporal and spectral brain patterns for different thermal stimuli perception by Zied Tayeb, Andrei Dragomir, Jin Ho Lee, Nida Itrat Abbasi, Emmanuel Dean, Aishwarya Bandla, Rohit Bose, Raghav Sundar, Anastasios Bezerianos, Nitish V. Thakor, Gordon Cheng

“…In this study, using electroencephalography (EEG) recorded from three healthy human subjects, we identified spatial, temporal, and spectral patterns of brain responses to different thermal stimulations ranging from extremely cold and hot stimuli (very intense), moderately cold and hot stimuli (intense), to a warm stimulus (innocuous). …”
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Neurochemistry-enriched dynamic causal models of magnetoencephalography, using magnetic resonance spectroscopy by Amirhossein Jafarian, Laura E Hughes, Natalie E Adams, Juliette H Lanskey, Michelle Naessens, Matthew A Rouse, Alexander G Murley, Karl J Friston, James B Rowe

“…The method is suitable for applications with magnetoencephalography or electroencephalography, and is well-suited to reveal the mechanisms of neurological and psychiatric disorders, including responses to psychopharmacological interventions.…”
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Experimental Protocol to Assess Neuromuscular Plasticity Induced by an Exoskeleton Training Session by Roberto Di Marco, Maria Rubega, Olive Lennon, Emanuela Formaggio, Ngadhnjim Sutaj, Giacomo Dazzi, Chiara Venturin, Ilenia Bonini, Rupert Ortner, Humberto Antonio Cerrel Bazo, Luca Tonin, Stefano Tortora, Stefano Masiero, Alessandra Del Felice, on behalf of the PRO GAIT Consortium

“…Interfaces based on physiological signals, e.g., recorded by electroencephalography (EEG) and/or electromyography (EMG), could contribute to solving this technological challenge. …”
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