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Article: Abnormal spatiotemporal processing of emotional facial expressions in childhood autism: Dipole source analysis of event-related potentials
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TitleAbnormal spatiotemporal processing of emotional facial expressions in childhood autism: Dipole source analysis of event-related potentials
 
AuthorsWong, TKW1
Fung, PCW1
Chua, SE1
McAlonan, GM1
 
KeywordsBESA
Brain
Electroencephalography
Emotion
Faces
 
Issue Date2008
 
PublisherBlackwell Publishing Ltd. The Journal's web site is located at http://www.blackwellpublishing.com/journals/EJN
 
CitationEuropean Journal Of Neuroscience, 2008, v. 28 n. 2, p. 407-416 [How to Cite?]
DOI: http://dx.doi.org/10.1111/j.1460-9568.2008.06328.x
 
AbstractPrevious studies of face processing in autism suggest abnormalities in anatomical development, functioning and connectivity/coordination of distributed brain systems involved in social cognition, but the spatial sequence and time course of rapid (sub-second) neural responses to emotional facial expressions have not been examined in detail. Source analysis of high-density event-related potentials (ERPs) is an optimal means to examine both the precise temporal profile and spatial location of early electrical brain activity in response to emotionally salient stimuli. Therefore, we recorded 128-channel ERPs from high-functioning males with autism (aged 6-10 years), and age-, sex- and IQ-matched typically developing controls during explicit and implicit processing of emotion from pictures showing happy, angry, fearful, sad and neutral facial expressions. Children with autism showed normal patterns of behavioural and ERP (P1, N170 and P2) responses. However, dipole source analysis revealed that ERP responses relating to face detection (visual cortex) and configural processing of faces (fusiform gyrus), as well as mental state decoding (medial prefrontal lobe), were significantly weaker and/or slower in autism compared with controls during both explicit and implicit emotion-processing tasks. Slower- and larger-amplitude ERP source activity in the parietal somatosensory cortices possibly reflected more effortful compensatory analytical strategies used by the autism group to process facial gender and emotion. Such aberrant neurophysiological processing of facial emotion observed in children with autism within the first 300 ms of stimulus presentation suggests abnormal cortical specialization within social brain networks, which would likely disrupt the development of normal social-cognitive skills. © The Authors (2008).
 
ISSN0953-816X
2013 Impact Factor: 3.669
 
DOIhttp://dx.doi.org/10.1111/j.1460-9568.2008.06328.x
 
ISI Accession Number IDWOS:000257715800018
 
ReferencesReferences in Scopus
 
DC FieldValue
dc.contributor.authorWong, TKW
 
dc.contributor.authorFung, PCW
 
dc.contributor.authorChua, SE
 
dc.contributor.authorMcAlonan, GM
 
dc.date.accessioned2010-05-31T03:55:31Z
 
dc.date.available2010-05-31T03:55:31Z
 
dc.date.issued2008
 
dc.description.abstractPrevious studies of face processing in autism suggest abnormalities in anatomical development, functioning and connectivity/coordination of distributed brain systems involved in social cognition, but the spatial sequence and time course of rapid (sub-second) neural responses to emotional facial expressions have not been examined in detail. Source analysis of high-density event-related potentials (ERPs) is an optimal means to examine both the precise temporal profile and spatial location of early electrical brain activity in response to emotionally salient stimuli. Therefore, we recorded 128-channel ERPs from high-functioning males with autism (aged 6-10 years), and age-, sex- and IQ-matched typically developing controls during explicit and implicit processing of emotion from pictures showing happy, angry, fearful, sad and neutral facial expressions. Children with autism showed normal patterns of behavioural and ERP (P1, N170 and P2) responses. However, dipole source analysis revealed that ERP responses relating to face detection (visual cortex) and configural processing of faces (fusiform gyrus), as well as mental state decoding (medial prefrontal lobe), were significantly weaker and/or slower in autism compared with controls during both explicit and implicit emotion-processing tasks. Slower- and larger-amplitude ERP source activity in the parietal somatosensory cortices possibly reflected more effortful compensatory analytical strategies used by the autism group to process facial gender and emotion. Such aberrant neurophysiological processing of facial emotion observed in children with autism within the first 300 ms of stimulus presentation suggests abnormal cortical specialization within social brain networks, which would likely disrupt the development of normal social-cognitive skills. © The Authors (2008).
 
dc.description.natureLink_to_subscribed_fulltext
 
dc.identifier.citationEuropean Journal Of Neuroscience, 2008, v. 28 n. 2, p. 407-416 [How to Cite?]
DOI: http://dx.doi.org/10.1111/j.1460-9568.2008.06328.x
 
dc.identifier.citeulike3020828
 
dc.identifier.doihttp://dx.doi.org/10.1111/j.1460-9568.2008.06328.x
 
dc.identifier.epage416
 
dc.identifier.hkuros146623
 
dc.identifier.isiWOS:000257715800018
 
dc.identifier.issn0953-816X
2013 Impact Factor: 3.669
 
dc.identifier.issue2
 
dc.identifier.openurl
 
dc.identifier.pmid18702712
 
dc.identifier.scopuseid_2-s2.0-48349105168
 
dc.identifier.spage407
 
dc.identifier.urihttp://hdl.handle.net/10722/59693
 
dc.identifier.volume28
 
dc.languageeng
 
dc.publisherBlackwell Publishing Ltd. The Journal's web site is located at http://www.blackwellpublishing.com/journals/EJN
 
dc.publisher.placeUnited Kingdom
 
dc.relation.ispartofEuropean Journal of Neuroscience
 
dc.relation.referencesReferences in Scopus
 
dc.rightsEuropean Journal of Neuroscience. Copyright © Blackwell Publishing Ltd.
 
dc.subjectBESA
 
dc.subjectBrain
 
dc.subjectElectroencephalography
 
dc.subjectEmotion
 
dc.subjectFaces
 
dc.titleAbnormal spatiotemporal processing of emotional facial expressions in childhood autism: Dipole source analysis of event-related potentials
 
dc.typeArticle
 
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Author Affiliations
  1. The University of Hong Kong