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A resource for assessing information processing in the developing brain using EEG and eye tracking
We present a dataset combining electrophysiology and eye tracking intended as a resource for the investigation of information processing in the developing brain. The dataset includes high-density task-based and task-free EEG, eye tracking, and cognitive and behavioral data collected from 126 individ...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5387929/ https://www.ncbi.nlm.nih.gov/pubmed/28398357 http://dx.doi.org/10.1038/sdata.2017.40 |
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author | Langer, Nicolas Ho, Erica J. Alexander, Lindsay M. Xu, Helen Y. Jozanovic, Renee K. Henin, Simon Petroni, Agustin Cohen, Samantha Marcelle, Enitan T. Parra, Lucas C. Milham, Michael P. Kelly, Simon P. |
author_facet | Langer, Nicolas Ho, Erica J. Alexander, Lindsay M. Xu, Helen Y. Jozanovic, Renee K. Henin, Simon Petroni, Agustin Cohen, Samantha Marcelle, Enitan T. Parra, Lucas C. Milham, Michael P. Kelly, Simon P. |
author_sort | Langer, Nicolas |
collection | PubMed |
description | We present a dataset combining electrophysiology and eye tracking intended as a resource for the investigation of information processing in the developing brain. The dataset includes high-density task-based and task-free EEG, eye tracking, and cognitive and behavioral data collected from 126 individuals (ages: 6–44). The task battery spans both the simple/complex and passive/active dimensions to cover a range of approaches prevalent in modern cognitive neuroscience. The active task paradigms facilitate principled deconstruction of core components of task performance in the developing brain, whereas the passive paradigms permit the examination of intrinsic functional network activity during varying amounts of external stimulation. Alongside these neurophysiological data, we include an abbreviated cognitive test battery and questionnaire-based measures of psychiatric functioning. We hope that this dataset will lead to the development of novel assays of neural processes fundamental to information processing, which can be used to index healthy brain development as well as detect pathologic processes. |
format | Online Article Text |
id | pubmed-5387929 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-53879292017-04-21 A resource for assessing information processing in the developing brain using EEG and eye tracking Langer, Nicolas Ho, Erica J. Alexander, Lindsay M. Xu, Helen Y. Jozanovic, Renee K. Henin, Simon Petroni, Agustin Cohen, Samantha Marcelle, Enitan T. Parra, Lucas C. Milham, Michael P. Kelly, Simon P. Sci Data Data Descriptor We present a dataset combining electrophysiology and eye tracking intended as a resource for the investigation of information processing in the developing brain. The dataset includes high-density task-based and task-free EEG, eye tracking, and cognitive and behavioral data collected from 126 individuals (ages: 6–44). The task battery spans both the simple/complex and passive/active dimensions to cover a range of approaches prevalent in modern cognitive neuroscience. The active task paradigms facilitate principled deconstruction of core components of task performance in the developing brain, whereas the passive paradigms permit the examination of intrinsic functional network activity during varying amounts of external stimulation. Alongside these neurophysiological data, we include an abbreviated cognitive test battery and questionnaire-based measures of psychiatric functioning. We hope that this dataset will lead to the development of novel assays of neural processes fundamental to information processing, which can be used to index healthy brain development as well as detect pathologic processes. Nature Publishing Group 2017-04-11 /pmc/articles/PMC5387929/ /pubmed/28398357 http://dx.doi.org/10.1038/sdata.2017.40 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0 This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0 Metadata associated with this Data Descriptor is available at http://www.nature.com/sdata/ and is released under the CC0 waiver to maximize reuse. |
spellingShingle | Data Descriptor Langer, Nicolas Ho, Erica J. Alexander, Lindsay M. Xu, Helen Y. Jozanovic, Renee K. Henin, Simon Petroni, Agustin Cohen, Samantha Marcelle, Enitan T. Parra, Lucas C. Milham, Michael P. Kelly, Simon P. A resource for assessing information processing in the developing brain using EEG and eye tracking |
title | A resource for assessing information processing in the developing brain using EEG and eye tracking |
title_full | A resource for assessing information processing in the developing brain using EEG and eye tracking |
title_fullStr | A resource for assessing information processing in the developing brain using EEG and eye tracking |
title_full_unstemmed | A resource for assessing information processing in the developing brain using EEG and eye tracking |
title_short | A resource for assessing information processing in the developing brain using EEG and eye tracking |
title_sort | resource for assessing information processing in the developing brain using eeg and eye tracking |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5387929/ https://www.ncbi.nlm.nih.gov/pubmed/28398357 http://dx.doi.org/10.1038/sdata.2017.40 |
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