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Cerebral Cortex Advance Access published online on July 7, 2007
Cerebral Cortex, doi:10.1093/cercor/bhm091
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© The Author 2007. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oxfordjournals.org

The Effect of Prior Visual Information on Recognition of Speech and Sounds

Uta Noppeney1,2, Oliver Josephs2, Julia Hocking2, Cathy J. Price2 and Karl J. Friston2

1 Max-Planck-Institute for Biological Cybernetics, Tuebingen, Germany, 2 Wellcome Department of Imaging Neuroscience, Institute of Neurology, London, UK

Address correspondence to Uta Noppeney, Max-Planck-Institute for Biological Cybernetics, Spemannstrasse 38, 72076 Tubingen, Germany. Email: uta.noppeney{at}tuebingen.mpg.de.

To identify and categorize complex stimuli such as familiar objects or speech, the human brain integrates information that is abstracted at multiple levels from its sensory inputs. Using cross-modal priming for spoken words and sounds, this functional magnetic resonance imaging study identified 3 distinct classes of visuoauditory incongruency effects: visuoauditory incongruency effects were selective for 1) spoken words in the left superior temporal sulcus (STS), 2) environmental sounds in the left angular gyrus (AG), and 3) both words and sounds in the lateral and medial prefrontal cortices (IFS/mPFC). From a cognitive perspective, these incongruency effects suggest that prior visual information influences the neural processes underlying speech and sound recognition at multiple levels, with the STS being involved in phonological, AG in semantic, and mPFC/IFS in higher conceptual processing. In terms of neural mechanisms, effective connectivity analyses (dynamic causal modeling) suggest that these incongruency effects may emerge via greater bottom-up effects from early auditory regions to intermediate multisensory integration areas (i.e., STS and AG). This is consistent with a predictive coding perspective on hierarchical Bayesian inference in the cortex where the domain of the prediction error (phonological vs. semantic) determines its regional expression (middle temporal gyrus/STS vs. AG/intraparietal sulcus).

Key Words: cross-modal priming • dynamic causal modeling • effective connectivity • multisensory integration • predictive coding • semantics


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