Literature DB >> 21497200

Multisensory interactions in early evoked brain activity follow the principle of inverse effectiveness.

Daniel Senkowski1, Dave Saint-Amour, Marion Höfle, John J Foxe.   

Abstract

A major determinant of multisensory integration, derived from single-neuron studies in animals, is the principle of inverse effectiveness (IE), which describes the phenomenon whereby maximal multisensory response enhancements occur when the constituent unisensory stimuli are minimally effective in evoking responses. Human behavioral studies, which have shown that multisensory interactions are strongest when stimuli are low in intensity are in agreement with the IE principle, but the neurophysiologic basis for this finding is unknown. In this high-density electroencephalography (EEG) study, we examined effects of stimulus intensity on multisensory audiovisual processing in event-related potentials (ERPs) and response time (RT) facilitation in the bisensory redundant target effect (RTE). The RTE describes that RTs are faster for bisensory redundant targets than for the respective unisensory targets. Participants were presented with semantically meaningless unisensory auditory, unisensory visual and bisensory audiovisual stimuli of low, middle and high intensity, while they were instructed to make a speeded button response when a stimulus in either modality was presented. Behavioral data showed that the RTE exceeded predictions on the basis of probability summations of unisensory RTs, indicative of integrative multisensory processing, but only for low intensity stimuli. Paralleling this finding, multisensory interactions in short latency (40-60ms) ERPs with a left posterior and right anterior topography were found particularly for stimuli with low intensity. Our findings demonstrate that the IE principle is applicable to early multisensory processing in humans.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21497200     DOI: 10.1016/j.neuroimage.2011.03.075

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


  45 in total

1.  Looming signals reveal synergistic principles of multisensory integration.

Authors:  Céline Cappe; Antonia Thelen; Vincenzo Romei; Gregor Thut; Micah M Murray
Journal:  J Neurosci       Date:  2012-01-25       Impact factor: 6.167

2.  Spatio-temporal measures of electrophysiological correlates for behavioral multisensory enhancement during visual, auditory and somatosensory stimulation: A behavioral and ERP study.

Authors:  Wuyi Wang; Li Hu; Hongyan Cui; Xiaobo Xie; Yong Hu
Journal:  Neurosci Bull       Date:  2013-12-01       Impact factor: 5.203

3.  Dynamic faces speed up the onset of auditory cortical spiking responses during vocal detection.

Authors:  Chandramouli Chandrasekaran; Luis Lemus; Asif A Ghazanfar
Journal:  Proc Natl Acad Sci U S A       Date:  2013-11-11       Impact factor: 11.205

4.  Perceptual and categorical decision making: goal-relevant representation of two domains at different levels of abstraction.

Authors:  Swetha Shankar; Andrew S Kayser
Journal:  J Neurophysiol       Date:  2017-03-01       Impact factor: 2.714

5.  Inverse effectiveness and multisensory interactions in visual event-related potentials with audiovisual speech.

Authors:  Ryan A Stevenson; Maxim Bushmakin; Sunah Kim; Mark T Wallace; Aina Puce; Thomas W James
Journal:  Brain Topogr       Date:  2012-02-25       Impact factor: 3.020

6.  Stimulus intensity modulates multisensory temporal processing.

Authors:  Juliane Krueger Fister; Ryan A Stevenson; Aaron R Nidiffer; Zachary P Barnett; Mark T Wallace
Journal:  Neuropsychologia       Date:  2016-02-23       Impact factor: 3.139

7.  Speech comprehension aided by multiple modalities: behavioural and neural interactions.

Authors:  Carolyn McGettigan; Andrew Faulkner; Irene Altarelli; Jonas Obleser; Harriet Baverstock; Sophie K Scott
Journal:  Neuropsychologia       Date:  2012-01-17       Impact factor: 3.139

8.  The intraparietal sulcus governs multisensory integration of audiovisual information based on task difficulty.

Authors:  Christina Regenbogen; Janina Seubert; Emilia Johansson; Andreas Finkelmeyer; Patrik Andersson; Johan N Lundström
Journal:  Hum Brain Mapp       Date:  2017-12-12       Impact factor: 5.038

9.  Auditory and audio-visual processing in patients with cochlear, auditory brainstem, and auditory midbrain implants: An EEG study.

Authors:  Irina Schierholz; Mareike Finke; Andrej Kral; Andreas Büchner; Stefan Rach; Thomas Lenarz; Reinhard Dengler; Pascale Sandmann
Journal:  Hum Brain Mapp       Date:  2017-01-28       Impact factor: 5.038

10.  Multisensory integration in schizophrenia: a behavioural and event-related potential study.

Authors:  Jonathan K Wynn; Carol Jahshan; Michael F Green
Journal:  Cogn Neuropsychiatry       Date:  2014-01-08       Impact factor: 1.871

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