Showing 1 - 13 results of 13 for search '"Electroencephalography', query time: 0.09s Refine Results
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    Spatiotemporal Dynamics of Online Motor Correction Processing Revealed by High-density Electroencephalography by Dipietro, Laura, Poizner, Howard, Krebs, Hermano Igo

    Published 2014
    “…Movement kinematics and cortical activity were concurrently recorded with a low-friction robotic device and high-density electroencephalography. Analysis of spatiotemporal dynamics of brain activation and its correlation with movement kinematics showed that the production of each kinematic submovement was accompanied by (1) stereotyped topographic scalp maps and (2) frontoparietal ERPs time-locked to submovements. …”
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    Brainstorm: A User-Friendly Application for MEG/EEG Analysis by Tadel, Francois, Baillet, Sylvain, Mosher, John C., Pantazis, Dimitrios, Leahy, Richard M.

    Published 2011
    “…Brainstorm is a collaborative open-source application dedicated to magnetoencephalography (MEG) and electroencephalography (EEG) data visualization and processing, with an emphasis on cortical source estimation techniques and their integration with anatomical magnetic resonance imaging (MRI) data. …”
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    Sensitivity of MEG and EEG to Source Orientation by Ahlfors, Seppo Pentti, Han, Jooman, Belliveau, John W., Hamalainen, Matti S.

    Published 2011
    “…An important difference between magnetoencephalography (MEG) and electroencephalography (EEG) is that MEG is insensitive to radially oriented sources. …”
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    An enhanced cerebral recovery index for coma prognostication following cardiac arrest by Amorim, Edilberto, Pati, Sandipan B., Purdon, Patrick L., Westover, M. Brandon, Ghassemi, Mohammad Mahdi, Mark, Roger G, Brown, Emery Neal

    Published 2017
    “…In this paper we describe a novel retrospective data set of 167 cardiac arrest patients (spanning three institutions) who received electroencephalography (EEG) monitoring. We utilized a subset of the collected data to generate features that measured the connectivity, complexity and category of EEG activity. …”
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    Individual Differences Reveal Correlates of Hidden Hearing Deficits by Bharadwaj, Hari M., Masud, Salwa, Mehraei, Golbarg, Verhulst, Sarah, Shinn-Cunningham, Barbara G.

    Published 2015
    “…Conversely, these differences were unrelated to the modest variation in otoacoustic emissions, cochlear tuning, or the residual differences in hearing threshold present in our cohort. Electroencephalography revealed that listeners with poor subcortical encoding had poor cortical sensitivity to changes in interaural time differences, which are critical for localizing sound sources and analyzing complex scenes. …”
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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.

    Published 2017
    “…When combined with electroencephalography (EEG), TMS can be used to assess the brain's response to external perturbations. …”
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    A hierarchical Bayesian approach for learning sparse spatio-temporal decompositions of multichannel EEG by Wu, Wei, Chen, Zhe, Gao, Shangkai, Brown, Emery N.

    Published 2016
    “…Multichannel electroencephalography (EEG) offers a non-invasive tool to explore spatio-temporal dynamics of brain activity. …”
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    Attention Increases the Temporal Precision of Conscious Perception: Verifying the Neural-ST2 Model by Chennu, Srivas, Craston, Patrick, Wyble, Brad, Bowman, Howard

    Published 2011
    “…In this article, we use electroencephalography (EEG) to directly investigate the temporal dynamics of conscious perception. …”
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    Localization of Cortical Phase and Amplitude Dynamics during Visual Working Memory Encoding and Retention by Palva, Satu, Kulashekhar, Shrikanth, Hamalainen, Matti S., Palva, J. Matias

    Published 2011
    “…We used magnetoencephalography and electroencephalography together with minimum norm estimate-based source modeling to study the dynamics of ongoing brain activity during a parametric VWM task. …”
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    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

    Published 2014
    “…Distributed cortical solutions of magnetoencephalography (MEG) and electroencephalography (EEG) exhibit complex spatial and temporal dynamics. …”
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