Validation of the Emotiv EPOC® EEG gaming system for measuring research quality auditory ERPs by Nicholas A. Badcock, Petroula Mousikou, Yatin Mahajan, Peter de Lissa, Johnson Thie, Genevieve McArthur

“…Recently, a commercial gaming electroencephalography (EEG) system has been developed that is portable, inexpensive, and easy to set up. …”
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Alterations of theta power and synchrony during encoding in young adult binge drinkers: Subsequent memory effects associated with retrieval after 48 h and 6 months by Siyuan Huang, David R. White, Ksenija Marinkovic, Ksenija Marinkovic

“…They performed a recognition memory task on two follow-up occasions after a short (48 h), and long retention delay (6 months). Electroencephalography (EEG) signal was recorded during the encoding session and analyzed in time-frequency domain with Morlet wavelets in theta band (4–7 Hz). …”
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Data-driven multiscale model of macaque auditory thalamocortical circuits reproduces in vivo dynamics by Salvador Dura-Bernal, Erica Y. Griffith, Annamaria Barczak, Monica N. O’Connell, Tammy McGinnis, Joao V.S. Moreira, Charles E. Schroeder, William W. Lytton, Peter Lakatos, Samuel A. Neymotin

“…The model simulates multiscale measures, including physiological firing rates, local field potentials (LFPs), current source densities (CSDs), and electroencephalography (EEG) signals. Laminar CSD patterns, during spontaneous activity and in response to broadband noise stimulus trains, mirror experimental findings. …”
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Nomogram for Early Prediction of Outcome in Coma Patients with Severe Traumatic Brain Injury Receiving Right Median Nerve Electrical Stimulation Treatment by Chao Zhang, Wen-Dong You, Xu-Xu Xu, Qian Zhou, Xiao-Feng Yang

“…As a proof of concept for individual risk prediction, we created a novel nomogram model combining amplitude-integrated electroencephalography (AEEG) and clinically relevant parameters. …”
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Graph Theory-Based Electroencephalographic Connectivity via Phase-Locking Value and Its Association with Ketogenic Diet Responsiveness in Patients with Focal Onset Seizures by Tzu-Yun Hsieh, Pi-Lien Hung, Ting-Yu Su, Syu-Jyun Peng

“…Several predictors of KD responsiveness have been identified, including biochemical parameters, seizure types, and electroencephalography (EEG) examinations. We hypothesized that graph theory-based EEG functional connectivity could explain KD responses in patients presenting focal onset seizure (FOS). …”
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State-space Modeling of Neural Oscillations: Toward Assessing Alzheimer’s Disease Neuropathology with Sleep EEG by He, Mingjian

“…However, many existing practices in sleep electroencephalography (EEG) analysis are based on visual inspection and the ubiquitous Fourier transform. …”
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Energy-efficient wireless sensors : fewer bits, Moore MEMS by Chen, Fred (Fred Fu-Chin)

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Spatiotemporal brain imaging by Liu, Arthur K. (Arthur Kuang-Chung)

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A decade of infant neuroimaging research : what have we learned and where are we going? by Azhari, Atiqah, Truzzi, Anna, Neoh, Michelle Jin-Yee, Balagtas, Jan Paolo M., Tan, Hannah Hui Ann, Goh, Pamela Pei Lin, Ang, Anais Xin Hui Anais, Setoh, Peipei, Rigo, Paola, Bornstein, Marc H., Esposito, Gianluca

“…This review systematically screened empirical studies that used electroencephalography (EEG), magnetoencephalography (MEG), functional near-infrared spectroscopy (fNIRS), and functional magnetic resonance imaging (fMRI) on infants (max. age of 24 months). …”
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Emotional valence modulates the topology of the parent-infant inter-brain network by Santamaria, Lorena, Noreika, Valdas, Georgieva, Stanimira, Clackson, Kaili, Wass, Sam, Leong, Victoria

“…Fifteen mothers were asked to model positive and negative emotions toward pairs of objects during social interaction with their infants (mean age 10.3 months) whilst the neural activity of both mothers and infants was concurrently measured using dual electroencephalography (EEG). Intra-brain and inter-brain network connectivity in the 6-9 Hz range (i.e. infant Alpha band) during maternal expression of positive and negative emotions was computed using directed (partial directed coherence, PDC) and non-directed (phase-locking value, PLV) connectivity metrics. …”
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Step towards home-based robotic rehabilitation : an interface circuit for EEG : SEMG actuated orthosis by Gunadi Wihardjo.

“…The circuit can interface with industry standard data acquisition devices and switch seamlessly between surface electromyography (SEMG) and electroencephalography (EEG) operation. Test results are presented both with simulated signals as well as actual signals. …”
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Learning at your brain's rhythm: individualized entrainment boosts learning for perceptual decisions by Michael, Elizabeth, Covarrubias, Lorena Santamaria, Leong, Victoria, Kourtzi, Zoe

“…We use a visual flicker paradigm to entrain individuals at their own brain rhythm (i.e. peak alpha frequency) as measured by resting-state electroencephalography (EEG). We demonstrate that this individual frequency-matched brain entrainment results in faster learning in a visual identification task (i.e. detecting targets embedded in background clutter) compared to entrainment that does not match an individual's alpha frequency. …”
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μ-STAR: a novel framework for spatio-temporal M/EEG source imaging optimized by microstates by Feng, Zhao, Wang, Sujie, Qian, Linze, Xu, Mengru, Wu, Kuijun, Kakkos, Ioannis, Guan, Cuntai, Sun, Yu

“…Source imaging of Electroencephalography (EEG) and Magnetoencephalography (MEG) provides a noninvasive way of monitoring brain activities with high spatial and temporal resolution. …”
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Cross-modal credibility modelling for EEG-based multimodal emotion recognition by Zhang, Yuzhe, Liu, Huan, Wang, Di, Zhang, Dalin, Lou, Tianyu, Zheng, Qinghua, Quek, Chai

“…The study of emotion recognition through electroencephalography (EEG) has garnered significant attention recently. …”
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Subject-independent meta-learning framework towards optimal training of EEG-based classifiers by Ng, Han Wei, Guan, Cuntai

“…Advances in deep learning have shown great promise towards the application of performing high-accuracy Electroencephalography (EEG) signal classification in a variety of tasks. …”
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Normalization of pain-evoked neural reponses using spontaneous EEG improves the performance of EEG-based cross-individual pain prediction by Hung, Yeung Sam, Zhang, Zhiguo, Huang, Gan, Tu, Yiheng, Tan, Ao, Bai, Yanru

“…Recent studies have shown that pain-evoked electroencephalography (EEG) responses could be used as a readout of perceived pain intensity. …”
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Sensory development in the newborn infant: modulation by early life experience and the impact of brain injury by Schmidt Mellado, G

“…In this thesis, electroencephalography (EEG) was recorded in infants born between 27 – 42 weeks gestational age (GA) and evoked responses to different types of sensory stimulation were analysed using advanced data driven analysis techniques. …”

A dataset for emotion recognition using virtual reality and EEG (DER-VREEG): Emotional state classification using low-cost wearable VR-EEG headsets by Nazmi Sofian Suhaimi, James Mountstephens, Teo, Jason Tze Wi

“…Emotion recognition uses low-cost wearable electroencephalography (EEG) headsets to collect brainwave signals and interpret these signals to provide information on the mental state of a person, with the implementation of a virtual reality environment in different applications; the gap between human and computer interaction, as well as the understanding process, would shorten, providing an immediate response to an individual’s mental health. …”
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Physiological and electroencephalogram responses in goats subjected to pre-and during slaughter stress by Raghazli, Razlina, Othman, Azalea Hani, Kaka, Ubedullah, Abubakar, Ahmed A., Imlan, Jurhamid Columbres, Hamzah, Hazilawati, Sazili, Awis Qurni, Goh, Yong Meng

“…This research utilises electroencephalography (EEG) as an alternative stress indicator to non-painful acute stress measurement. …”

Differences in the chromatic visual event related potentials in number and non-number plates of the ishihara colour vision test by Mohammed , Almarri Faraj

“…Firstly, we recorded the electroencephalography (EEG) when participants attended to the lab in the Hospital of Universiti Sains Malaysia (HUSM) from 19 electrode sites using 128 electrode sensors net which were applied on the participant’s scalp according to 10-20 international electrode placement system. …”
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