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Frontal electroencephalogram asymmetry during affective processing in children with Down syndrome: a pilot study.

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Title: Frontal electroencephalogram asymmetry during affective processing in children with Down syndrome: a pilot study.
Authors: Conrad, N. J. (AUTHOR), Schmidt, L. A. (AUTHOR), Niccols, A. (AUTHOR), Polak, C. P. (AUTHOR), Riniolo, T. C. (AUTHOR), Burack, J. A. (AUTHOR)
Source: Journal of Intellectual Disability Research. Dec2007, Vol. 51 Issue 12, p988-995. 8p. 1 Graph.
Subjects: Down syndrome, Emotions, Emotions in children, Development of children with disabilities, Psychology of children with disabilities, Emotion regulation, Brain fingerprinting, Psychology
Abstract: Background Although the pattern of frontal electroencephalogram (EEG) asymmetry during the processing of emotion has been examined in many studies of healthy adults and typically developing infants and children, no published work has used these theoretical and methodological approaches to study emotion processing in children with Down syndrome. The purpose of this pilot study was to examine the feasibility of using brain-based measures of emotion (i.e. regional EEG asymmetry measures) with children with Down syndrome, and whether children with Down syndrome exhibit patterns of frontal brain activity during the processing of affective stimuli that are not different from typically developing children, but of lesser magnitude. Methods Regional brain electrical activity (EEG) was measured in response to the presentation of popular children's video clips that varied in affective content in three children with Down syndrome and three typically developing children who were matched on reading level. Results The children with Down syndrome appeared to show a similar pattern of frontal EEG asymmetry as the typically developing children for the video clips depicting happiness, sadness and fear. However, the magnitude of the frontal asymmetry scores for the children with Down syndrome was large across the affective stimuli, and they appeared to process the video clip depicting anger differently from the typically developing children. Conclusion This preliminary evidence suggests that brain-based measures of affective processing can be used to study the differentiation of emotion on an electrocortical level among children with Down syndrome. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Intellectual Disability Research is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Frontal electroencephalogram asymmetry during affective processing in children with Down syndrome: a pilot study.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Intellectual+Disability+Research%22">Journal of Intellectual Disability Research</searchLink>. Dec2007, Vol. 51 Issue 12, p988-995. 8p. 1 Graph.
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  Data: <searchLink fieldCode="DE" term="%22Down+syndrome%22">Down syndrome</searchLink><br /><searchLink fieldCode="DE" term="%22Emotions%22">Emotions</searchLink><br /><searchLink fieldCode="DE" term="%22Emotions+in+children%22">Emotions in children</searchLink><br /><searchLink fieldCode="DE" term="%22Development+of+children+with+disabilities%22">Development of children with disabilities</searchLink><br /><searchLink fieldCode="DE" term="%22Psychology+of+children+with+disabilities%22">Psychology of children with disabilities</searchLink><br /><searchLink fieldCode="DE" term="%22Emotion+regulation%22">Emotion regulation</searchLink><br /><searchLink fieldCode="DE" term="%22Brain+fingerprinting%22">Brain fingerprinting</searchLink><br /><searchLink fieldCode="DE" term="%22Psychology%22">Psychology</searchLink>
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  Data: Background Although the pattern of frontal electroencephalogram (EEG) asymmetry during the processing of emotion has been examined in many studies of healthy adults and typically developing infants and children, no published work has used these theoretical and methodological approaches to study emotion processing in children with Down syndrome. The purpose of this pilot study was to examine the feasibility of using brain-based measures of emotion (i.e. regional EEG asymmetry measures) with children with Down syndrome, and whether children with Down syndrome exhibit patterns of frontal brain activity during the processing of affective stimuli that are not different from typically developing children, but of lesser magnitude. Methods Regional brain electrical activity (EEG) was measured in response to the presentation of popular children's video clips that varied in affective content in three children with Down syndrome and three typically developing children who were matched on reading level. Results The children with Down syndrome appeared to show a similar pattern of frontal EEG asymmetry as the typically developing children for the video clips depicting happiness, sadness and fear. However, the magnitude of the frontal asymmetry scores for the children with Down syndrome was large across the affective stimuli, and they appeared to process the video clip depicting anger differently from the typically developing children. Conclusion This preliminary evidence suggests that brain-based measures of affective processing can be used to study the differentiation of emotion on an electrocortical level among children with Down syndrome. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of Intellectual Disability Research is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Dec2007
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