Abstract
Attention plays an important role in audiovisual integration. To further explore the neural mechanism of audiovisual integration when the participants attended and unattended the stimulus, we designed a visual and auditory discrimination task that included ‘A stimuli’, ‘V stimuli’ and ‘AV stimuli’ presented on the right or left side of screen randomly. We adopt DCM method to model audiovisual integration in attended and unattended condition to investigate the neural mechanism of audiovisual interaction in these two conditions. The results showed that the audiovisual interaction in attention-condition was stronger than that in inattention-condition, which reflected the influence of attention on multisensory integration.
This work was supported by the National Natural Science Foundation of China (grant numbers 61773076, 61806025) and the Jilin Scientific and Technological Development Program of China (grant number 20180519012JH).
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Fort, A., Delpuech, C., Pernier, J., Giard, M.H.: Early auditory-visual interactions in human cortex during nonredundant target identification. Brain Res. Cogn. Brain Res. 14, 20–30 (2002)
Giard, M.H., Peronnet, F.: Auditory-visual integration during multimodal object recognition in humans: a behavioral and electrophysiological study. J. Cogn. Neurosci. 11, 473–490 (1999)
Molholm, S., Ritter, W., Murray, M.M.: Multisensory auditory-visual interactions during early sensory processing in humans: a high-density electrical mapping study. Brain Res. Cogn. Brain Res. 14, 115–128 (2002)
Teder-Salejarvi, W.A., Di Russo, F., McDonald, J.J., Hillyard, S.A.: Effects of spatial congruity on audio-visual multimodal integration. J. Cogn. Neurosci. 17, 1396–1409 (2005)
Teder-Salejarvi, W.A., McDonald, J.J., Di Russo, F., Hillyard, S.A.: An analysis of audio-visual crossmodal integration by means of event-related potential (ERP) recordings. Brain Res. Cogn. Brain Res. 14, 106–114 (2002)
Vidal, J., Giard, M.H., Roux, S.: Cross-modal processing of auditory-visual stimuli in a no-task paradigm: a topographic event-related potential study. Clin. Neurophysiol. 119, 763–771 (2008)
Friston, K., Harrison, L., Penny, W.: Dynamic causal modelling. NeuroImage 19, 273–1302 (2003)
Friston, K.: Causal modelling and brain connectivity in functional magnetic resonance maging. PLoS Biol. 7, e1000033 (2009)
Werner, S., Noppeney, U.: Distinct functional contributions of primary sensory and association areas to audiovisual integration in object categorization. J. Neurosci. Official J. Soc. Neurosci 30(7), 2662–2675 (2010)
Ursino, M., Cuppini, C., Magosso, E.: Multisensory Bayesian inference depends on synapse maturation during training: theoretical analysis and neural modeling implementation. Neural Comput. 29(3), 735–782 (2017)
Driver, J., Noesselt, T.: Multisensory interplay reveals cross-modal influences on “sensory-specific” brain regions, neural responses, and judgments. Neuron 57(1), 11–23 (2008)
Falchier, A., Clavagnier, S., Barone, P., Kennedy, H.: Anatomical evidence of multimodal integration in primate striate cortex. J. Neurosci. 22(13), 5749–5759 (2002)
Ghazanfar, A.A., Schroeder, C.E.: Is neocortex essentially multisensory? Trends Cogn. Sci. 10(6), 278–285 (2006)
Rockland, K.S., Ojima, H.: Multisensory convergence in calcarine visual areas in macaque monkey. Int. J. Psychophysiol. 50(1–2), 19–26 (2003)
Schroeder, C.E., Foxe, J.: Multisensory contributions to low-level, “unisensory” processing. Curr. Opin. Neurobiol. 15(4), 454–458 (2005)
King, A.J., Walker, K.M.: Integrating information from different senses in the auditory cortex. Biol. Cybern. 106, 617–625 (2012)
Musacchia, G., Schroeder, C.E.: Neuronal mechanisms, response dynamics and perceptual functions of multisensory interactions in auditory cortex. Hear. Res. 258, 72–79 (2009)
Ursino, M., Cuppini, C., Magosso, E.: A neural network for learning the meaning of objects and words from a featural representation. Neural Netw. (2014)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Xi, Y., Zhang, M., Gao, N., Li, Y., Liu, L., Li, Q. (2019). The Neural Mechanism of Audiovisual Integration Modulated by Attention: A DCM Study. In: Pan, JS., Ito, A., Tsai, PW., Jain, L. (eds) Recent Advances in Intelligent Information Hiding and Multimedia Signal Processing. IIH-MSP 2018. Smart Innovation, Systems and Technologies, vol 109. Springer, Cham. https://doi.org/10.1007/978-3-030-03745-1_20
Download citation
DOI: https://doi.org/10.1007/978-3-030-03745-1_20
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-03744-4
Online ISBN: 978-3-030-03745-1
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)