EEG and Reliable Components Analysis datasets and metadata supporting the published article: Neural dynamics underlying coherent motion perception in children and adults

Catherine Manning, Blair Kaneshiro, Peter J. Kohler, Mihaela Duta, Gaia Scerif and Anthony M. Norcia. (2019). Neural dynamics underlying coherent motion perception in children and adults. Developmental Cognitive Neuroscience, 38, 100670 https://doi.org/10.1016/j.dcn.2019.100670.

Item 1 (EEG data) in this collection contains 122 matlab Formatted_XXXX.3_40_preproc.mat files and 1 MarkedUpFile.docx file.

Item 2 (Reliable Components analysis datasets) in this collection contains 12 matlab files: 4 MOVEP_datIn_groupX.mat files, 4 MOVEP_datInLong_groupX.mat files and 4 cohOut_group_X.mat files. Data files demographics_incl.csv and Details on group summary files.docx are also included in this item.

The ReadME file (DCNpaper_DataUpload-.docx) is part of both items in this collection.

Study aims and methodology:

The goal of the current study was to use high-density EEG to characterise age-related differences in direction-specific evoked responses in a large sample of 6- to 12-year-old children and adults.

Participants were 102 children aged between 6 and 12 years and 20 adults aged between 18 and 35 years (9 females), with no reported history of developmental conditions and normal or corrected-to-normal vision (assessed with a Snellen chart).

The experimental task was presented on a Dell Precision M3800 laptop using MATLAB (Mathworks, MA, USA) and the Psychophysics Toolbox. EEG signals were acquired with a 128-electrode Hydrocel Geodesic Sensor Net connected to Net Amps 300, using NetStation 4.5 software. A photodiode was attached to the monitor to independently verify the timing of stimulus presentation. Participants made their responses using a Cedrus RB-540 response box.

The authors isolated direction-specific responses using the same approach as previous studies, whereby participants were presented with an initial ‘boil’ period of incoherent motion, followed by coherent motion. Additionally, to extend and complement studies that have focused on averaged waveforms in certain electrodes, here the authors used the entire sensor array to identify maximally reliable components with a data-driven component decomposition technique that has been used successfully to investigate motion perception in adults.

For more details on the methodology, please read the related published article.