Developmental Cognitive Neuroscience

ISSN: 1878-9293
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Datasets associated with articles published in Developmental Cognitive Neuroscience
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  • These are the structural and functional (resting-state) data used for the accompanying manuscript assessing the amygdala's functional connectivity development from 3 months to 5 years of age. Functional data are provided for the laterobasal (LB) subregion, the superficial (SF) subregion, and the whole amygdala (LB + SF subregions). Average connectivity (controlling for age) across this developmental period is given by the negative_tstat (for anticorrelated, negatively valenced connectivity) and positive_tstat (for positively valenced connectivity). Linear age-related changes are shown in the _age_ images (positive and negative changes in connectivity with increasing age). Nonlinear age-related changes are shown in the _logage_ images (positive and negative changes in connectivity with increasing age). All _masked_ images denote the thresholded maps corrected for family-wise error that are reported in the manuscript's results.
    Data Types:
    • Dataset
    • File Set
  • Summary data on income significant cluster connectivity and control variables
    Data Types:
    • Tabular Data
    • Dataset
  • This fileset contains Reliable Components Analysis data related to the following published article: 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. Dataset demographics_incl.csv is in .csv file format and includes the age for each of 122 participants (102 children, 20 adults). DevCond refers to whether the participant has a developmental condition (1 = developmental condition, 0 = no developmental conditions; i.e., none of the participants have developmental conditions). Hands refers to the response condition that the participant was assigned to (1 = used left hand to respond up & right hand to respond down; 2 = used right hand to respond up and left hand to respond down). ID numbers beginning C are child participants and ID numbers beginning A are adult participants. Data files cohOut_group_1.mat, cohOut_group_2.mat, cohOut_group_3.mat, cohOut_group_4.mat, MOVEP_datIn_group1.mat, MOVEP_datIn_group2.mat, MOVEP_datIn_group3.mat, MOVEP_datIn_group4.mat, MOVEP_datInLong_group1.mat, MOVEP_datInLong_group2.mat, MOVEP_datInLong_group3.mat, MOVEP_datInLong_group4.mat are group summaries, in comparison to the 122 Formatted_XXXX.3_40_preproc.mat files, which are individual data files. More information about the contents of these files are provided in the document Details on group summary files.docx
    Data Types:
    • Dataset
  • This collection contains electroencephalography (EEG) and Reliable Components Analysis datasets and metadata supporting the published article: 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.
    Data Types:
    • Collection
  • This fileset contains EEG data related to the following published article: 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. The script MOVEP_analysis4_corrected.m was used to generate the output .mat datasets contained in this data record. This code has already been shared under a BSD license on the OSF repository: https://osf.io/fkjt6/ (which is linked to in the published paper). A total of 122 Matlab formatted datasets are contained in this data record, each contains pre-processed electroencephalography (EEG) data for each of the 122 participants of the study. The datasets have the following format: Formatted_XXXX.3_40_preproc.mat, where XXXX corresponds to the participant ID. Participant IDs are listed in dataset demographics_incl.csv. The data in the Matlab formatted datasets result from preprocessing/formatting steps (see readme https://osf.io/fa5yp/). More details on the variables in each .mat file are provided in the document DCNpaper_DataUpload-.docx. MarkUpFile.docx is a key explaining the EEG triggers found in the formatted data files (Triggers.matrix in each Formatted_XXXX.3_40_preproc.mat). Netstation triggers have a 4-character event code - and these are FXTN, BOIL, STIM, RESP and OFFS. They correspond to each trial event (FXTN = fixation onset, BOIL = boil; STIM = stimulus onset, RESP = response, and OFFS = stimulus offset).Each trigger also has keycode-keyvalue pairings (e.g., cohe = 10/30/50/75/100, dire = 0/1; corr = 0/1). When exporting the datafiles from Netstation to .raw files that were preprocessed in MATLAB, the authors converted these Netstation triggers into triggers with 4 digits that contain all of the information. These 4-digit triggers are found in Triggers.matrix in each Formatted_XXXX.3_40_preproc.mat file.
    Data Types:
    • Dataset
  • This fileset contains Reliable Components Analysis data related to the following published article: 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. Dataset demographics_incl.csv is in .csv file format and includes the age for each of 122 participants (102 children, 20 adults). DevCond refers to whether the participant has a developmental condition (1 = developmental condition, 0 = no developmental conditions; i.e., none of the participants have developmental conditions). Hands refers to the response condition that the participant was assigned to (1 = used left hand to respond up & right hand to respond down; 2 = used right hand to respond up and left hand to respond down). ID numbers beginning C are child participants and ID numbers beginning A are adult participants. Data files cohOut_group_1.mat, cohOut_group_2.mat, cohOut_group_3.mat, cohOut_group_4.mat, MOVEP_datIn_group1.mat, MOVEP_datIn_group2.mat, MOVEP_datIn_group3.mat, MOVEP_datIn_group4.mat, MOVEP_datInLong_group1.mat, MOVEP_datInLong_group2.mat, MOVEP_datInLong_group3.mat, MOVEP_datInLong_group4.mat are group summaries, in comparison to the 122 Formatted_XXXX.3_40_preproc.mat files, which are individual data files. More information about the contents of these files are provided in the document Details on group summary files.docx
    Data Types:
    • Dataset
  • This collection contains electroencephalography (EEG) and Reliable Components Analysis datasets and metadata supporting the published article: 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.
    Data Types:
    • Collection