This WhenVisitorsAttackDatareadme.txt file was generated on 20200301 by Joseph E. Schroer ------------------- GENERAL INFORMATION ------------------- Title of Dataset: When Visitors Attack Raw EEG Data Author Information (Name, Institution, Address, Email) Principal Investigator: Joseph E. Schroer, University of Wyoming, 211 McWhinnie Hall, Laramie, WY 82071, Joseph.Schroer@uwyo.edu Associate or Co-investigator: Robin Thomas, Miami University Ohio, 311 Psychology Building, Oxford, Ohio 45011, rthomas@miamioh.edu Alternate Contact(s): Abstract:We investigated behavioral and neural correlates of spatial reasoning in 21 children aged 6-12 years-old during educational video game play. Behavioral measures included child performance in learning the concept during the pretest, practice, and posttest portions of the game. Neural correlates using electroencephalography focused on event-related potentials, N2 and P3, and joint-time frequencies specifically alpha at three sites; F3, F4, and Pz. Results indicate that all of the participants exhibited naïve conceptions regarding the optics concept, and children 8-12 were successful in learning through video game play. Analyses of correct versus incorrect trials uncovered several interaction effects at the left superior frontal sulcus (F3). Suppression of alpha waves at F3 coincided with correct responses on the posttest. We conclude that suppression of alpha at F3 is essential for spatial concept learning and suggest further research into the field of optical spatial reasoning and spatial learning limitations exhibited by young children. Keywords: child, video game, event-related potentials, concept formation, learning Date of data collection (single date, range, approximate date): 2016/08/01 - 2017/08/01 Geographic location of data collection: Oxford, Ohio, USA Information about funding sources or sponsorship that supported the collection of the data: N/A -------------------------- SHARING/ACCESS INFORMATION -------------------------- Licenses/restrictions placed on the data, or limitations of reuse: Recommended citation for the data: #***************************************************************************************/ #* Title: When Visitors Attack Raw EEG Data #* Author: Schroer, J.E. & Thomas, R.D. #* Date: 2020 #* Availability: http: #***************************************************************************************/ # Citation for and links to publications that cite or use the data: Schroer, J.E. & Thomas, R. D. (2020). Learning the Law of Reflection: Event-Related Potentials of Children Aged 6-12 during Educational Video Game Play. Mind, Brain, & Education. Links to other publicly accessible locations of the data: None Links/relationships to ancillary or related data sets: Data were collected using PsychoPy created video game located https://github.com/jschroer26/VisitorsAttack -------------------- DATA & FILE OVERVIEW -------------------- File list (filenames, directory structure (for zipped files) and brief description of all data files):Zip files include one .mov file of the participant during the experiment; .xml files including: coordinates, epochs, events, fields, info, movie Syncs, notes, po_video Syncups, sensorLayout, and .dat subject data compiled with Netstation software. Relationship between files, if important for context: EEG data is recorded in a stream with events marked for stimulus or response locked analysis Additional related data collected that was not included in the current data package: N/A If data was derived from another source, list source: N/A If there are there multiple versions of the dataset, list the file updated, when and why update was made: N/A -------------------------- METHODOLOGICAL INFORMATION -------------------------- Description of methods used for collection/generation of data: Methods for processing the data: These files contain raw data for which we employed the following methods in order to later generate and analyze ERP waveforms. For the EEG recording, we used a 64-channel geodesic sensor net (HydroCel GSN 64 1.0) using a NetAmps 300 system from Electrical Geodesics, Inc. (EGI, Eugene, OR). At the start of recording, impedences were adjusted to be below 50 KΩ. Using the Netstation 4.5 software, recorded EEG was first bandpassed filtered from 0.1-50 Hz. The data were then segmented into epoch of 1200ms length with a baseline period of 100ms and extending 1100 ms post stimulus onset. Segments were artifact processed in which eye blinks, eye movements, and bad channel artifacts were detected and segments containing any of these artifacts present were removed. Bad channels were those for which voltage differences exceeded 200 μV. Eye blinks occurred if the vertical occulogram exceeded 140 μV; eye movements were indicated if the horizontal occulogram exceed 55 μV. Following artifact rejection, epochs were averaged and baseline corrected. The data, which had been recorded using a Cz reference, were rereferenced to the global average before analysis. For statistical analyses, we selected a window of 150-250ms post stimulus onset to measure the N200 component, and a window of 300-500ms post stimulus to measure the P300 component. Software- or Instrument-specific information needed to interpret the data, including software and hardware version numbers:Netstation 4.5 software or above Standards and calibration information, if appropriate: N/A Environmental/experimental conditions: Participant EEG was recorded in a dimly lit room specially constructed and insulated to reduce electrical noise. Experimental controland EEG data collection occured in the adjacent room. Describe any quality-assurance procedures performed on the data: N/A People involved with sample collection, processing, analysis and/or submission: Schroer, J.E. & Thomas, R.D.