Literature DB >> 26419391

How prior expectations shape multisensory perception.

Remi Gau1, Uta Noppeney2.   

Abstract

The brain generates a representation of our environment by integrating signals from a common source, but segregating signals from different sources. This fMRI study investigated how the brain arbitrates between perceptual integration and segregation based on top-down congruency expectations and bottom-up stimulus-bound congruency cues. Participants were presented audiovisual movies of phonologically congruent, incongruent or McGurk syllables that can be integrated into an illusory percept (e.g. "ti" percept for visual «ki» with auditory /pi/). They reported the syllable they perceived. Critically, we manipulated participants' top-down congruency expectations by presenting McGurk stimuli embedded in blocks of congruent or incongruent syllables. Behaviorally, participants were more likely to fuse audiovisual signals into an illusory McGurk percept in congruent than incongruent contexts. At the neural level, the left inferior frontal sulcus (lIFS) showed increased activations for bottom-up incongruent relative to congruent inputs. Moreover, lIFS activations were increased for physically identical McGurk stimuli, when participants segregated the audiovisual signals and reported their auditory percept. Critically, this activation increase for perceptual segregation was amplified when participants expected audiovisually incongruent signals based on prior sensory experience. Collectively, our results demonstrate that the lIFS combines top-down prior (in)congruency expectations with bottom-up (in)congruency cues to arbitrate between multisensory integration and segregation.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Causal inference; Congruency; Crossmodal integration; Learning; McGurk; Multisensory perception; Perceptual illusion; Prefrontal cortex; fMRI

Mesh:

Year:  2015        PMID: 26419391     DOI: 10.1016/j.neuroimage.2015.09.045

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  29 in total

1.  Neural correlates of gender congruence in audiovisual commercials for gender-targeted products: An fMRI study.

Authors:  Luis-Alberto Casado-Aranda; Laura Nynke Van der Laan; Juan Sánchez-Fernández
Journal:  Hum Brain Mapp       Date:  2018-07-02       Impact factor: 5.038

2.  Causal Inference in Audiovisual Perception.

Authors:  Agoston Mihalik; Uta Noppeney
Journal:  J Neurosci       Date:  2020-07-15       Impact factor: 6.167

3.  Modality-specific attention attenuates visual-tactile integration and recalibration effects by reducing prior expectations of a common source for vision and touch.

Authors:  Stephanie Badde; Karen T Navarro; Michael S Landy
Journal:  Cognition       Date:  2020-02-06

4.  Perceived finger orientation is biased towards functional task spaces.

Authors:  Lindsey E Fraser; Laurence R Harris
Journal:  Exp Brain Res       Date:  2016-08-17       Impact factor: 1.972

5.  Gaining knowledge mediates changes in perception (without differences in attention): A case for perceptual learning.

Authors:  Lauren L Emberson
Journal:  Behav Brain Sci       Date:  2016-01       Impact factor: 12.579

6.  Long-term training reduces the responses to the sound-induced flash illusion.

Authors:  Jie Huang; Erlei Wang; Ke Lu; Aijun Wang; Ming Zhang
Journal:  Atten Percept Psychophys       Date:  2021-09-13       Impact factor: 2.199

Review 7.  The Complex Interplay Between Multisensory Integration and Perceptual Awareness.

Authors:  O Deroy; N Faivre; C Lunghi; C Spence; M Aller; U Noppeney
Journal:  Multisens Res       Date:  2016       Impact factor: 2.286

8.  Stimulus value gates multisensory integration.

Authors:  Naomi L Bean; Barry E Stein; Benjamin A Rowland
Journal:  Eur J Neurosci       Date:  2021-03-22       Impact factor: 3.386

9.  A simple and efficient method to enhance audiovisual binding tendencies.

Authors:  Brian Odegaard; David R Wozny; Ladan Shams
Journal:  PeerJ       Date:  2017-04-25       Impact factor: 2.984

Review 10.  Defining Auditory-Visual Objects: Behavioral Tests and Physiological Mechanisms.

Authors:  Jennifer K Bizley; Ross K Maddox; Adrian K C Lee
Journal:  Trends Neurosci       Date:  2016-01-15       Impact factor: 13.837

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