| Recognising upright and inverted faces: MEG source localisation. | |
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MedLine Citation:
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PMID: 21238433 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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Face recognition is a complex cognitive task that involves a distributed network of neural sources. While some components of this network have been identified, the temporal sequence of these components is not well understood. Magnetoencephalography (MEG), analyzed with a spatial filtering source localization algorithm, was used to determine frontal contributions to face recognition. We tested 22 adults (mean age 26.3 yrs; 10 females). Upright and inverted faces were presented in counter-balanced blocks and subjects identified repetitions in a 1-back protocol. MEG data were recorded continuously from a 151 channel CTF machine and source localised to each participant's MRI. The classic face components, M100 and M170, were seen for upright and inverted faces with M100 localizing to bilateral occipital areas and M170 to bilateral fusiform areas. A third component, M240, showed high global field power to correctly recognized repeated faces and localized to right middle frontal and insula sources at 240 ms for upright faces and bilateral midfrontal sources for inverted faces. The effect of repetition was examined and a source identified at 250ms in the cingulate, for inverted faces. These results provide timing information on frontal lobe activation, seen reliably in fMRI memory studies; the immediate recognition of repeated faces activates right frontal sources at 240-250ms, with bilateral activation to repeated inverted faces, perhaps due to increased task difficulty. |
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Authors:
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M J Taylor; S J Bayless; T Mills; E W Pang |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2011-1-13 |
Journal Detail:
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Title: Brain research Volume: - ISSN: 1872-6240 ISO Abbreviation: - Publication Date: 2011 Jan |
Date Detail:
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Created Date: 2011-1-17 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 0045503 Medline TA: Brain Res Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Copyright Information:
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Copyright © 2011 Elsevier B.V. All rights reserved. |
Affiliation:
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Diagnostic Imaging, Hospital for Sick Children, University of Toronto, Toronto, Canada; Neurology, Hospital for Sick Children, University of Toronto, Toronto, Canada; Research Institute, Hospital for Sick Children, University of Toronto, Toronto, Canada. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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