Neural tracking in infants – An analytical tool for multisensory social processing in development

Humans are born into a social environment and from early on possess a range of abilities to detect and respond to social cues. In the past decade, there has been a rapidly increasing interest in investigating the neural responses underlying such early social processes under naturalistic conditions....

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Sarah Jessen, Jonas Obleser, Sarah Tune
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	EEG Infancy Encoding models Decoding models Temporal response function Neural tracking Neurophysiology and neuropsychology QP351-495
Acceso en línea:	https://doaj.org/article/3508ec1056594b77837e6d68b3f16e54
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:3508ec1056594b77837e6d68b3f16e54
record_format	dspace
spelling	oai:doaj.org-article:3508ec1056594b77837e6d68b3f16e542021-11-14T04:31:31ZNeural tracking in infants – An analytical tool for multisensory social processing in development1878-929310.1016/j.dcn.2021.101034https://doaj.org/article/3508ec1056594b77837e6d68b3f16e542021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1878929321001237https://doaj.org/toc/1878-9293Humans are born into a social environment and from early on possess a range of abilities to detect and respond to social cues. In the past decade, there has been a rapidly increasing interest in investigating the neural responses underlying such early social processes under naturalistic conditions. However, the investigation of neural responses to continuous dynamic input poses the challenge of how to link neural responses back to continuous sensory input. In the present tutorial, we provide a step-by-step introduction to one approach to tackle this issue, namely the use of linear models to investigate neural tracking responses in electroencephalographic (EEG) data. While neural tracking has gained increasing popularity in adult cognitive neuroscience over the past decade, its application to infant EEG is still rare and comes with its own challenges. After introducing the concept of neural tracking, we discuss and compare the use of forward vs. backward models and individual vs. generic models using an example data set of infant EEG data. Each section comprises a theoretical introduction as well as a concrete example using MATLAB code. We argue that neural tracking provides a promising way to investigate early (social) processing in an ecologically valid setting.Sarah JessenJonas ObleserSarah TuneElsevierarticleEEGInfancyEncoding modelsDecoding modelsTemporal response functionNeural trackingNeurophysiology and neuropsychologyQP351-495ENDevelopmental Cognitive Neuroscience, Vol 52, Iss , Pp 101034- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	EEG Infancy Encoding models Decoding models Temporal response function Neural tracking Neurophysiology and neuropsychology QP351-495
spellingShingle	EEG Infancy Encoding models Decoding models Temporal response function Neural tracking Neurophysiology and neuropsychology QP351-495 Sarah Jessen Jonas Obleser Sarah Tune Neural tracking in infants – An analytical tool for multisensory social processing in development
description	Humans are born into a social environment and from early on possess a range of abilities to detect and respond to social cues. In the past decade, there has been a rapidly increasing interest in investigating the neural responses underlying such early social processes under naturalistic conditions. However, the investigation of neural responses to continuous dynamic input poses the challenge of how to link neural responses back to continuous sensory input. In the present tutorial, we provide a step-by-step introduction to one approach to tackle this issue, namely the use of linear models to investigate neural tracking responses in electroencephalographic (EEG) data. While neural tracking has gained increasing popularity in adult cognitive neuroscience over the past decade, its application to infant EEG is still rare and comes with its own challenges. After introducing the concept of neural tracking, we discuss and compare the use of forward vs. backward models and individual vs. generic models using an example data set of infant EEG data. Each section comprises a theoretical introduction as well as a concrete example using MATLAB code. We argue that neural tracking provides a promising way to investigate early (social) processing in an ecologically valid setting.
format	article
author	Sarah Jessen Jonas Obleser Sarah Tune
author_facet	Sarah Jessen Jonas Obleser Sarah Tune
author_sort	Sarah Jessen
title	Neural tracking in infants – An analytical tool for multisensory social processing in development
title_short	Neural tracking in infants – An analytical tool for multisensory social processing in development
title_full	Neural tracking in infants – An analytical tool for multisensory social processing in development
title_fullStr	Neural tracking in infants – An analytical tool for multisensory social processing in development
title_full_unstemmed	Neural tracking in infants – An analytical tool for multisensory social processing in development
title_sort	neural tracking in infants – an analytical tool for multisensory social processing in development
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/3508ec1056594b77837e6d68b3f16e54
work_keys_str_mv	AT sarahjessen neuraltrackingininfantsananalyticaltoolformultisensorysocialprocessingindevelopment AT jonasobleser neuraltrackingininfantsananalyticaltoolformultisensorysocialprocessingindevelopment AT sarahtune neuraltrackingininfantsananalyticaltoolformultisensorysocialprocessingindevelopment
_version_	1718429948745613312

Neural tracking in infants – An analytical tool for multisensory social processing in development

Ejemplares similares