Literature DB >> 28690430

Neurogaming Technology Meets Neuroscience Education: A Cost-Effective, Scalable, and Highly Portable Undergraduate Teaching Laboratory for Neuroscience.

Bianca de Wit1,2, Nicholas A Badcock1,2,3, Tijl Grootswagers1,2,3, Katherine Hardwick1,2,3, Lina Teichmann1,2,3, Jordan Wehrman1,2,3, Mark Williams1,2,3, David Michael Kaplan1,2,3.   

Abstract

Active research-driven approaches that successfully incorporate new technology are known to catalyze student learning. Yet achieving these objectives in neuroscience education is especially challenging due to the prohibitive costs and technical demands of research-grade equipment. Here we describe a method that circumvents these factors by leveraging consumer EEG-based neurogaming technology to create an affordable, scalable, and highly portable teaching laboratory for undergraduate courses in neuroscience. This laboratory is designed to give students hands-on research experience, consolidate their understanding of key neuroscience concepts, and provide a unique real-time window into the working brain. Survey results demonstrate that students found the lab sessions engaging. Students also reported the labs enhanced their knowledge about EEG, their course material, and neuroscience research in general.

Entities:  

Keywords:  cognitive neuroscience; electroencephalography (EEG); enquiry-based learning; event-related potential (ERP); research-enhanced learning

Year:  2017        PMID: 28690430      PMCID: PMC5480837     

Source DB:  PubMed          Journal:  J Undergrad Neurosci Educ        ISSN: 1544-2896


  15 in total

1.  Technology in the teaching of neuroscience: enhanced student learning.

Authors:  John D Griffin
Journal:  Adv Physiol Educ       Date:  2003-12       Impact factor: 2.288

2.  EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis.

Authors:  Arnaud Delorme; Scott Makeig
Journal:  J Neurosci Methods       Date:  2004-03-15       Impact factor: 2.390

3.  Selection and preparation of hand and foot movements: Cz activity as a marker of limb system preparation.

Authors:  Jeff Miller
Journal:  Psychophysiology       Date:  2012-01-23       Impact factor: 4.016

4.  Usability of four commercially-oriented EEG systems.

Authors:  W David Hairston; Keith W Whitaker; Anthony J Ries; Jean M Vettel; J Cortney Bradford; Scott E Kerick; Kaleb McDowell
Journal:  J Neural Eng       Date:  2014-07-01       Impact factor: 5.379

5.  Measuring the face-sensitive N170 with a gaming EEG system: A validation study.

Authors:  Peter de Lissa; Sidsel Sörensen; Nicholas Badcock; Johnson Thie; Genevieve McArthur
Journal:  J Neurosci Methods       Date:  2015-06-06       Impact factor: 2.390

6.  Biomedical signal acquisition with streaming wireless communication for recording evoked potentials.

Authors:  Johnson Thie; Alexander Klistorner; Stuart L Graham
Journal:  Doc Ophthalmol       Date:  2012-07-31       Impact factor: 2.379

7.  Case study: auditory brain responses in a minimally verbal child with autism and cerebral palsy.

Authors:  Shu H Yau; Genevieve McArthur; Nicholas A Badcock; Jon Brock
Journal:  Front Neurosci       Date:  2015-06-19       Impact factor: 4.677

8.  Validation of the Emotiv EPOC EEG system for research quality auditory event-related potentials in children.

Authors:  Nicholas A Badcock; Kathryn A Preece; Bianca de Wit; Katharine Glenn; Nora Fieder; Johnson Thie; Genevieve McArthur
Journal:  PeerJ       Date:  2015-04-21       Impact factor: 2.984

9.  Virtual EEG: A Software-Based Electroencephalogram Designed for Undergraduate Neuroscience-Related Courses.

Authors:  Benjamin R Miller; Melissa Troyer; Thomas Busey
Journal:  J Undergrad Neurosci Educ       Date:  2008-10-15

10.  Validation of the Emotiv EPOC(®) EEG gaming system for measuring research quality auditory ERPs.

Authors:  Nicholas A Badcock; Petroula Mousikou; Yatin Mahajan; Peter de Lissa; Johnson Thie; Genevieve McArthur
Journal:  PeerJ       Date:  2013-02-19       Impact factor: 2.984

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  1 in total

Review 1.  Mobile EEG in research on neurodevelopmental disorders: Opportunities and challenges.

Authors:  Alex Lau-Zhu; Michael P H Lau; Gráinne McLoughlin
Journal:  Dev Cogn Neurosci       Date:  2019-03-08       Impact factor: 6.464

  1 in total

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