A resource for assessing information processing in the developing brain using EEG and eye tracking

Autores
Langer, Nicolas; Ho, Erica J.; Alexander, Lindsay M.; Xu, Helen Y.; Jozanovic, Renee K.; Henin, Simon; Petroni, Agustín; Cohen, Samantha; Marcelle, Enitan T.; Parra, Lucas C.; Milham, Michael P.; Kelly, Simon P.
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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.
Fil: Langer, Nicolas. Universitat Zurich; Suiza. Child Mind Institute; Estados Unidos
Fil: Ho, Erica J.. Child Mind Institute; Estados Unidos. University of Yale; Estados Unidos
Fil: Alexander, Lindsay M.. Child Mind Institute; Estados Unidos
Fil: Xu, Helen Y.. Child Mind Institute; Estados Unidos
Fil: Jozanovic, Renee K.. Child Mind Institute; Estados Unidos
Fil: Henin, Simon. City College of New York; Estados Unidos
Fil: Petroni, Agustín. City College of New York; Estados Unidos. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Cohen, Samantha. City College of New York; Estados Unidos. City University of New York; Estados Unidos
Fil: Marcelle, Enitan T.. Child Mind Institute; Estados Unidos. University of California Berkeley; Estados Unidos
Fil: Parra, Lucas C.. City College of New York; Estados Unidos
Fil: Milham, Michael P.. Child Mind Institute; Estados Unidos. Nathan S. Kline Institute for Psychiatric Research; Estados Unidos
Fil: Kelly, Simon P.. City College of New York; Estados Unidos. University College Dublin; Irlanda
Materia
Cognitive neuroscience
Electroencephalography (EEG)
Human behavior
Pediatric research
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/21149
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling A resource for assessing information processing in the developing brain using EEG and eye trackingLanger, NicolasHo, Erica J.Alexander, Lindsay M.Xu, Helen Y.Jozanovic, Renee K.Henin, SimonPetroni, AgustínCohen, SamanthaMarcelle, Enitan T.Parra, Lucas C.Milham, Michael P.Kelly, Simon P.Cognitive neuroscienceElectroencephalography (EEG)Human behaviorPediatric researchhttps://purl.org/becyt/ford/3.1https://purl.org/becyt/ford/3We 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.Fil: Langer, Nicolas. Universitat Zurich; Suiza. Child Mind Institute; Estados UnidosFil: Ho, Erica J.. Child Mind Institute; Estados Unidos. University of Yale; Estados UnidosFil: Alexander, Lindsay M.. Child Mind Institute; Estados UnidosFil: Xu, Helen Y.. Child Mind Institute; Estados UnidosFil: Jozanovic, Renee K.. Child Mind Institute; Estados UnidosFil: Henin, Simon. City College of New York; Estados UnidosFil: Petroni, Agustín. City College of New York; Estados Unidos. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Cohen, Samantha. City College of New York; Estados Unidos. City University of New York; Estados UnidosFil: Marcelle, Enitan T.. Child Mind Institute; Estados Unidos. University of California Berkeley; Estados UnidosFil: Parra, Lucas C.. City College of New York; Estados UnidosFil: Milham, Michael P.. Child Mind Institute; Estados Unidos. Nathan S. Kline Institute for Psychiatric Research; Estados UnidosFil: Kelly, Simon P.. City College of New York; Estados Unidos. University College Dublin; IrlandaNature Publishing Group2017-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/21149Langer, Nicolas; Ho, Erica J.; Alexander, Lindsay M.; Xu, Helen Y.; Jozanovic, Renee K.; et al.; A resource for assessing information processing in the developing brain using EEG and eye tracking; Nature Publishing Group; Scientific Data; 4; 4-2017; 1-20; 1700402052-4463CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.nature.com/articles/sdata201740info:eu-repo/semantics/altIdentifier/doi/10.1038/sdata.2017.40info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:59:37Zoai:ri.conicet.gov.ar:11336/21149instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:59:37.944CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv 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
spellingShingle A resource for assessing information processing in the developing brain using EEG and eye tracking
Langer, Nicolas
Cognitive neuroscience
Electroencephalography (EEG)
Human behavior
Pediatric research
title_short 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_sort A resource for assessing information processing in the developing brain using EEG and eye tracking
dc.creator.none.fl_str_mv Langer, Nicolas
Ho, Erica J.
Alexander, Lindsay M.
Xu, Helen Y.
Jozanovic, Renee K.
Henin, Simon
Petroni, Agustín
Cohen, Samantha
Marcelle, Enitan T.
Parra, Lucas C.
Milham, Michael P.
Kelly, Simon P.
author Langer, Nicolas
author_facet Langer, Nicolas
Ho, Erica J.
Alexander, Lindsay M.
Xu, Helen Y.
Jozanovic, Renee K.
Henin, Simon
Petroni, Agustín
Cohen, Samantha
Marcelle, Enitan T.
Parra, Lucas C.
Milham, Michael P.
Kelly, Simon P.
author_role author
author2 Ho, Erica J.
Alexander, Lindsay M.
Xu, Helen Y.
Jozanovic, Renee K.
Henin, Simon
Petroni, Agustín
Cohen, Samantha
Marcelle, Enitan T.
Parra, Lucas C.
Milham, Michael P.
Kelly, Simon P.
author2_role author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Cognitive neuroscience
Electroencephalography (EEG)
Human behavior
Pediatric research
topic Cognitive neuroscience
Electroencephalography (EEG)
Human behavior
Pediatric research
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.1
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv 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.
Fil: Langer, Nicolas. Universitat Zurich; Suiza. Child Mind Institute; Estados Unidos
Fil: Ho, Erica J.. Child Mind Institute; Estados Unidos. University of Yale; Estados Unidos
Fil: Alexander, Lindsay M.. Child Mind Institute; Estados Unidos
Fil: Xu, Helen Y.. Child Mind Institute; Estados Unidos
Fil: Jozanovic, Renee K.. Child Mind Institute; Estados Unidos
Fil: Henin, Simon. City College of New York; Estados Unidos
Fil: Petroni, Agustín. City College of New York; Estados Unidos. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Cohen, Samantha. City College of New York; Estados Unidos. City University of New York; Estados Unidos
Fil: Marcelle, Enitan T.. Child Mind Institute; Estados Unidos. University of California Berkeley; Estados Unidos
Fil: Parra, Lucas C.. City College of New York; Estados Unidos
Fil: Milham, Michael P.. Child Mind Institute; Estados Unidos. Nathan S. Kline Institute for Psychiatric Research; Estados Unidos
Fil: Kelly, Simon P.. City College of New York; Estados Unidos. University College Dublin; Irlanda
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.
publishDate 2017
dc.date.none.fl_str_mv 2017-04
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/21149
Langer, Nicolas; Ho, Erica J.; Alexander, Lindsay M.; Xu, Helen Y.; Jozanovic, Renee K.; et al.; A resource for assessing information processing in the developing brain using EEG and eye tracking; Nature Publishing Group; Scientific Data; 4; 4-2017; 1-20; 170040
2052-4463
CONICET Digital
CONICET
url http://hdl.handle.net/11336/21149
identifier_str_mv Langer, Nicolas; Ho, Erica J.; Alexander, Lindsay M.; Xu, Helen Y.; Jozanovic, Renee K.; et al.; A resource for assessing information processing in the developing brain using EEG and eye tracking; Nature Publishing Group; Scientific Data; 4; 4-2017; 1-20; 170040
2052-4463
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.nature.com/articles/sdata201740
info:eu-repo/semantics/altIdentifier/doi/10.1038/sdata.2017.40
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Nature Publishing Group
publisher.none.fl_str_mv Nature Publishing Group
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1844613767501971456
score 13.070432

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