Brain

Mobile Brain-Body Imaging (MoBI) technology was deployed at the Museo de Arte Contemporáneo (MARCO) in Monterrey, México, in an effort to collect Electroencefalographic (EEG) data from large numbers (N = ~1200) of participants and allow the study of the brain’s response to artistic stimuli, as part of the studies developed by University of Houston (TX, USA) and Tecnológico de Monterrey (MTY, México).

  • Neuroscience
  • Last Updated On: 
    Thu, 12/27/2018 - 12:23

    The dataset can be used for Brain MRI study for academic purpose only. Undersampling Masks can be used for random undersampling at different sampling rates. 

  • Brain
  • Last Updated On: 
    Tue, 12/25/2018 - 00:09

    Violin melody clips expressing happiness, sadness, threat, excitement, and neutrality. Both electric and acoustic violin.

  • Biomedical and Health Sciences
  • Last Updated On: 
    Fri, 01/25/2019 - 09:38
    Citation Author(s): 
    Mohammed J. Abdulaal, Alexander J. Casson, Keith Philips, Patrick Gaydecki

    The IEEE Brain Initiative is partnering with the 3rd IEEE Big Data Governance and Metadata Management Workshop (BDGMM) to host Hackathon Track #2, Brain Data Bank on Video Gaming Enhances Cognitive Skills. The BDGMM Workshop will be held in conjunction with IEEE Big Data 2018 in Seattle, Washington, and the hackathon will take place 10-11 December 2018. Cash awards will be given to top places. Registration link is provided here: https://bigdatawg.nist.gov/bdmm2018.html

  • Neuroscience
  • Brain
  • Last Updated On: 
    Mon, 12/10/2018 - 20:07
    Citation Author(s): 
    J.A. Anguera, J. Boccanfuso, J.L. Rintoul, O. Al-Hashimi, F. Faraji, J. Janowich, E. Kong, Y.Larraburo, C. Rolle, E. Johnston and A. Gazzaley

    Videomicroscopic Semi-Shadow Visualization of LoC-Si (Lab-on-a-Chip_[based_on]_Silicone) test structures from Institute of Molecular Electronics (D. Shevchenko; founder of Scientific and Production Association "Microbiotechniques" Ltd.) and Russian Academy of Sciences (INEPCP RAS; ICP RAS)

     

    Vis. Tech.: MBS-10 Binocular Stereoscopic Microscope; Indirect Angular Illumination.

     

    Found.: Initiative project (D. Shevchenko, O. Gradov; 2015-2016)

     

    Fab.: JSC “Voskhod” KRLZ*

     

  • Ecology
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Zaytsev Yu., Shevchenko D., Gradov O.

    This dataset consists of raw EEG data from 48 subjects who participated in a multitasking workload experiment utilizing the SIMKAP multitasking test. The subjects’ brain activity at rest was also recorded before the test and is included as well. The Emotiv EPOC device, with sampling frequency of 128Hz and 14 channels was used to obtain the data, with 2.5 minutes of EEG recording for each case. Subjects were also asked to rate their perceived mental workload after each stage on a rating scale of 1 to 9 and the ratings are provided in a separate file.

  • Biophysiological Signals
  • Last Updated On: 
    Tue, 07/10/2018 - 02:19

    MI dataset for deep learning approach

  • Brain
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Zhang Zhiwen

    This hackathon is co-located with the 42nd IEEE International Conference on Computers, Software & Application. The hackathon event will take place July 23-24 in Tokyo, Japan.
    Register here: https://ieeecompsac.computer.org/2018/big-data-hackathon-registration/
    More details: https://bigdatawg.nist.gov/bdgmm_compsac2018.html

  • Neuroscience
  • Brain
  • Last Updated On: 
    Tue, 04/02/2019 - 11:51
    Citation Author(s): 
    J.A. Anguera, J. Boccanfuso, J.L. Rintoul, O. Al-Hashimi, F. Faraji, J. Janowich, E. Kong, Y.Larraburo, C. Rolle, E. Johnston and A. Gazzaley

    Previous neuroimaging research has been traditionally confined to strict laboratory environments due to the limits of technology. Only recently have more studies emerged exploring the use of mobile brain imaging outside the laboratory. This study uses electroencephalography (EEG) and signal processing techniques to provide new opportunities for studying mobile subjects moving outside of the laboratory and in real world settings. The purpose of this study was to document the current viability of using high density EEG for mobile brain imaging both indoors and outdoors.

  • Neuroscience
  • Last Updated On: 
    Sat, 06/16/2018 - 23:16

    Electroencephalography (EEG) signal data was collected from twelve healthy subjects with no known musculoskeletal or neurological deficits (mean age 25.5 ± 3.7, 11 male, 1 female, 1 left handed, 11 right handed) using an EGI Geodesics© Hydrocel EEG 64-Channel spongeless sensor net. All subjects gave their informed consent for inclusion before they participated in the study. The study was conducted in accordance with the Declaration of Helsinki, and the protocol was approved by the Ethics Committee of the University of Wisconsin-Milwaukee (17.352).

  • Biomedical and Health Sciences
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Joshua Myszewski, Rezwan Sheikh, Thomas Reina, Eric Bergendahl, Mohammad Rahman

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