Cerebral Correlates and Statistical Criteria of Cross-Modal Face and Voice Integration

Cerebral Correlates and Statistical Criteria of Cross-Modal Face and Voice Integration Seeing and Perceiving 24 (2011) 351–367 brill.nl/sp Cerebral Correlates and Statistical Criteria of Cross-Modal Face and Voice Integration ∗ Scott A. Love 1 , ∗∗ , Frank E. Pollick 1 and Marianne Latinus 1 , 2 1 School of Psychology, University of Glasgow, 58 Hillhead Street, Glasgow G12 8QB, UK 2 Centre for Cognitive Neuroimaging (CCNi), Institute of Neuroscience and Psychology, University of Glasgow, 58 Hillhead Street, Glasgow G12 8QB, UK Received 14 January 2011; accepted 18 May 2011 Abstract Perception of faces and voices plays a prominent role in human social interaction, making multisensory integration of cross-modal speech a topic of great interest in cognitive neuroscience. How to define po- tential sites of multisensory integration using functional magnetic resonance imaging (fMRI) is currently under debate, with three statistical criteria frequently used (e.g., super-additive, max and mean criteria). In the present fMRI study, 20 participants were scanned in a block design under three stimulus conditions: dynamic unimodal face, unimodal voice and bimodal face–voice. Using this single dataset, we examine all these statistical criteria in an attempt to define loci of face–voice integration. While the super-additive and mean criteria essentially revealed regions in which one of the unimodal responses http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Seeing and Perceiving (continuation of Spatial Vision from 2010 and continued as Multisensory Research from 2013) Brill

Cerebral Correlates and Statistical Criteria of Cross-Modal Face and Voice Integration

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Publisher
BRILL
Copyright
© 2011 Koninklijke Brill NV, Leiden, The Netherlands
ISSN
1878-4755
eISSN
1878-4763
D.O.I.
10.1163/187847511X584452
Publisher site
See Article on Publisher Site

Abstract

Seeing and Perceiving 24 (2011) 351–367 brill.nl/sp Cerebral Correlates and Statistical Criteria of Cross-Modal Face and Voice Integration ∗ Scott A. Love 1 , ∗∗ , Frank E. Pollick 1 and Marianne Latinus 1 , 2 1 School of Psychology, University of Glasgow, 58 Hillhead Street, Glasgow G12 8QB, UK 2 Centre for Cognitive Neuroimaging (CCNi), Institute of Neuroscience and Psychology, University of Glasgow, 58 Hillhead Street, Glasgow G12 8QB, UK Received 14 January 2011; accepted 18 May 2011 Abstract Perception of faces and voices plays a prominent role in human social interaction, making multisensory integration of cross-modal speech a topic of great interest in cognitive neuroscience. How to define po- tential sites of multisensory integration using functional magnetic resonance imaging (fMRI) is currently under debate, with three statistical criteria frequently used (e.g., super-additive, max and mean criteria). In the present fMRI study, 20 participants were scanned in a block design under three stimulus conditions: dynamic unimodal face, unimodal voice and bimodal face–voice. Using this single dataset, we examine all these statistical criteria in an attempt to define loci of face–voice integration. While the super-additive and mean criteria essentially revealed regions in which one of the unimodal responses

Journal

Seeing and Perceiving (continuation of Spatial Vision from 2010 and continued as Multisensory Research from 2013)Brill

Published: Jan 1, 2011

Keywords: FMRI; CONNECTIVITY; AUDIOVISUAL; MULTISENSORY; SPEECH; SUPER-ADDITIVE

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