Cargando…
Investigating Social Cognition in Infants and Adults Using Dense Array Electroencephalography ((d)EEG)
Dense array electroencephalography ((d)EEG), which provides a non-invasive window for measuring brain activity and a temporal resolution unsurpassed by any other current brain imaging technology(1,2), is being used increasingly in the study of social cognitive functioning in infants and adults. Whil...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MyJove Corporation
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3197049/ https://www.ncbi.nlm.nih.gov/pubmed/21730950 http://dx.doi.org/10.3791/2759 |
_version_ | 1782214268817506304 |
---|---|
author | Akano, Adekemi J. Haley, David W. Dudek, Joanna |
author_facet | Akano, Adekemi J. Haley, David W. Dudek, Joanna |
author_sort | Akano, Adekemi J. |
collection | PubMed |
description | Dense array electroencephalography ((d)EEG), which provides a non-invasive window for measuring brain activity and a temporal resolution unsurpassed by any other current brain imaging technology(1,2), is being used increasingly in the study of social cognitive functioning in infants and adults. While (d)EEG is enabling researchers to examine brain activity patterns with unprecedented levels of sensitivity, conventional EEG recording systems continue to face certain limitations, including 1) poor spatial resolution and source localization(3,4),2) the physical discomfort for test subjects of enduring the individual application of numerous electrodes to the surface of the scalp, and 3) the complexity for researchers of learning to use multiple software packages to collect and process data. Here we present an overview of an established methodology that represents a significant improvement on conventional methodologies for studying EEG in infants and adults. Although several analytical software techniques can be used to establish indirect indices of source localization to improve the spatial resolution of (d)EEG, the HydroCel Geodesic Sensor Net (HCGSN) by Electrical Geodesics, Inc. (EGI), a dense sensory array that maintains equal distances among adjacent recording electrodes on all surfaces of the scalp, further enhances spatial resolution(4,5,6) compared to standard (d)EEG systems. The sponge-based HCGSN can be applied rapidly and without scalp abrasion, making it ideal for use with adults(7,8), children(9,10,11), and infants(12), in both research and clinical(4,5,6,13,14,15) settings. This feature allows for considerable cost and time savings by decreasing the average net application time compared to other (d)EEG systems. Moreover, the HCGSN includes unified, seamless software applications for all phases of data, greatly simplifying the collection, processing, and analysis of (d)EEG data. The HCGSN features a low-profile electrode pedestal, which, when filled with electrolyte solution, creates a sealed microenvironment and an electrode-scalp interface. In all Geodesic (d)EEG systems, EEG sensors detect changes in voltage originating from the participant's scalp, along with a small amount of electrical noise originating from the room environment. Electrical signals from all sensors of the Geodesic sensor net are received simultaneously by the amplifier, where they are automatically processed, packaged, and sent to the data-acquisition computer (DAC). Once received by the DAC, scalp electrical activity can be isolated from artifacts for analysis using the filtering and artifact detection tools included in the EGI software. Typically, the HCGSN can be used continuously for only up to two hours because the electrolyte solution dries out over time, gradually decreasing the quality of the scalp-electrode interface. In the Parent-Infant Research Lab at the University of Toronto, we are using (d)EEG to study social cognitive processes including memory, emotion, goals, intentionality, anticipation, and executive functioning in both adult and infant participants. |
format | Online Article Text |
id | pubmed-3197049 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | MyJove Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-31970492011-11-01 Investigating Social Cognition in Infants and Adults Using Dense Array Electroencephalography ((d)EEG) Akano, Adekemi J. Haley, David W. Dudek, Joanna J Vis Exp Neuroscience Dense array electroencephalography ((d)EEG), which provides a non-invasive window for measuring brain activity and a temporal resolution unsurpassed by any other current brain imaging technology(1,2), is being used increasingly in the study of social cognitive functioning in infants and adults. While (d)EEG is enabling researchers to examine brain activity patterns with unprecedented levels of sensitivity, conventional EEG recording systems continue to face certain limitations, including 1) poor spatial resolution and source localization(3,4),2) the physical discomfort for test subjects of enduring the individual application of numerous electrodes to the surface of the scalp, and 3) the complexity for researchers of learning to use multiple software packages to collect and process data. Here we present an overview of an established methodology that represents a significant improvement on conventional methodologies for studying EEG in infants and adults. Although several analytical software techniques can be used to establish indirect indices of source localization to improve the spatial resolution of (d)EEG, the HydroCel Geodesic Sensor Net (HCGSN) by Electrical Geodesics, Inc. (EGI), a dense sensory array that maintains equal distances among adjacent recording electrodes on all surfaces of the scalp, further enhances spatial resolution(4,5,6) compared to standard (d)EEG systems. The sponge-based HCGSN can be applied rapidly and without scalp abrasion, making it ideal for use with adults(7,8), children(9,10,11), and infants(12), in both research and clinical(4,5,6,13,14,15) settings. This feature allows for considerable cost and time savings by decreasing the average net application time compared to other (d)EEG systems. Moreover, the HCGSN includes unified, seamless software applications for all phases of data, greatly simplifying the collection, processing, and analysis of (d)EEG data. The HCGSN features a low-profile electrode pedestal, which, when filled with electrolyte solution, creates a sealed microenvironment and an electrode-scalp interface. In all Geodesic (d)EEG systems, EEG sensors detect changes in voltage originating from the participant's scalp, along with a small amount of electrical noise originating from the room environment. Electrical signals from all sensors of the Geodesic sensor net are received simultaneously by the amplifier, where they are automatically processed, packaged, and sent to the data-acquisition computer (DAC). Once received by the DAC, scalp electrical activity can be isolated from artifacts for analysis using the filtering and artifact detection tools included in the EGI software. Typically, the HCGSN can be used continuously for only up to two hours because the electrolyte solution dries out over time, gradually decreasing the quality of the scalp-electrode interface. In the Parent-Infant Research Lab at the University of Toronto, we are using (d)EEG to study social cognitive processes including memory, emotion, goals, intentionality, anticipation, and executive functioning in both adult and infant participants. MyJove Corporation 2011-06-27 /pmc/articles/PMC3197049/ /pubmed/21730950 http://dx.doi.org/10.3791/2759 Text en Copyright © 2011, Journal of Visualized Experiments http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. To view a copy of this license, visithttp://creativecommons.org/licenses/by-nc-nd/3.0/ |
spellingShingle | Neuroscience Akano, Adekemi J. Haley, David W. Dudek, Joanna Investigating Social Cognition in Infants and Adults Using Dense Array Electroencephalography ((d)EEG) |
title | Investigating Social Cognition in Infants and Adults Using Dense Array Electroencephalography ((d)EEG) |
title_full | Investigating Social Cognition in Infants and Adults Using Dense Array Electroencephalography ((d)EEG) |
title_fullStr | Investigating Social Cognition in Infants and Adults Using Dense Array Electroencephalography ((d)EEG) |
title_full_unstemmed | Investigating Social Cognition in Infants and Adults Using Dense Array Electroencephalography ((d)EEG) |
title_short | Investigating Social Cognition in Infants and Adults Using Dense Array Electroencephalography ((d)EEG) |
title_sort | investigating social cognition in infants and adults using dense array electroencephalography ((d)eeg) |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3197049/ https://www.ncbi.nlm.nih.gov/pubmed/21730950 http://dx.doi.org/10.3791/2759 |
work_keys_str_mv | AT akanoadekemij investigatingsocialcognitionininfantsandadultsusingdensearrayelectroencephalographydeeg AT haleydavidw investigatingsocialcognitionininfantsandadultsusingdensearrayelectroencephalographydeeg AT dudekjoanna investigatingsocialcognitionininfantsandadultsusingdensearrayelectroencephalographydeeg |