Literature DB >> 19551377

Challenges in quantifying multisensory integration: alternative criteria, models, and inverse effectiveness.

Barry E Stein1, Terrence R Stanford, Ramnarayan Ramachandran, Thomas J Perrault, Benjamin A Rowland.   

Abstract

Single-neuron studies provide a foundation for understanding many facets of multisensory integration. These studies have used a variety of criteria for identifying and quantifying multisensory integration. While a number of techniques have been used, an explicit discussion of the assumptions, criteria, and analytical methods traditionally used to define the principles of multisensory integration is lacking. This was not problematic when the field was small, but with rapid growth a number of alternative techniques and models have been introduced, each with its own criteria and sets of implicit assumptions to define and characterize what is thought to be the same phenomenon. The potential for misconception prompted this reexamination of traditional approaches in order to clarify their underlying assumptions and analytic techniques. The objective here is to review and discuss traditional quantitative methods advanced in the study of single-neuron physiology in order to appreciate the process of multisensory integration and its impact.

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Year:  2009        PMID: 19551377      PMCID: PMC3056521          DOI: 10.1007/s00221-009-1880-8

Source DB:  PubMed          Journal:  Exp Brain Res        ISSN: 0014-4819            Impact factor:   1.972


  73 in total

1.  Evidence from functional magnetic resonance imaging of crossmodal binding in the human heteromodal cortex.

Authors:  G A Calvert; R Campbell; M J Brammer
Journal:  Curr Biol       Date:  2000-06-01       Impact factor: 10.834

Review 2.  Bayesian multisensory integration and cross-modal spatial links.

Authors:  Sophie Deneve; Alexandre Pouget
Journal:  J Physiol Paris       Date:  2004 Jan-Jun

3.  Statistical criteria in FMRI studies of multisensory integration.

Authors:  Michael S Beauchamp
Journal:  Neuroinformatics       Date:  2005

4.  Perceptual fusion and stimulus coincidence in the cross-modal integration of speech.

Authors:  Lee M Miller; Mark D'Esposito
Journal:  J Neurosci       Date:  2005-06-22       Impact factor: 6.167

5.  Multisensory versus unisensory integration: contrasting modes in the superior colliculus.

Authors:  Juan Carlos Alvarado; J William Vaughan; Terrence R Stanford; Barry E Stein
Journal:  J Neurophysiol       Date:  2007-02-28       Impact factor: 2.714

6.  Tactile enhancement of auditory detection and perceived loudness.

Authors:  Helge Gillmeister; Martin Eimer
Journal:  Brain Res       Date:  2007-03-20       Impact factor: 3.252

7.  Cross-modal interaction between vision and hearing: a speed-accuracy analysis.

Authors:  Yoav Arieh; Lawrence E Marks
Journal:  Percept Psychophys       Date:  2008-04

8.  Multisensory enhancement: gains in choice and in simple response times.

Authors:  David Hecht; Miriam Reiner; Avi Karni
Journal:  Exp Brain Res       Date:  2008-05-14       Impact factor: 1.972

9.  Detection of audio-visual integration sites in humans by application of electrophysiological criteria to the BOLD effect.

Authors:  G A Calvert; P C Hansen; S D Iversen; M J Brammer
Journal:  Neuroimage       Date:  2001-08       Impact factor: 6.556

10.  Multisensory integration produces an initial response enhancement.

Authors:  Benjamin A Rowland; Barry E Stein
Journal:  Front Integr Neurosci       Date:  2007-11-30
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  73 in total

1.  Incorporating cross-modal statistics in the development and maintenance of multisensory integration.

Authors:  Jinghong Xu; Liping Yu; Benjamin A Rowland; Terrence R Stanford; Barry E Stein
Journal:  J Neurosci       Date:  2012-02-15       Impact factor: 6.167

2.  Perceptuo-motor compatibility governs multisensory integration in bimanual coordination dynamics.

Authors:  Gregory Zelic; Denis Mottet; Julien Lagarde
Journal:  Exp Brain Res       Date:  2015-11-02       Impact factor: 1.972

3.  Age-related changes in auditory and visual interactions in temporal rate perception.

Authors:  Cassandra J Brooks; Andrew J Anderson; Neil W Roach; Paul V McGraw; Allison M McKendrick
Journal:  J Vis       Date:  2015       Impact factor: 2.240

Review 4.  Development of multisensory integration from the perspective of the individual neuron.

Authors:  Barry E Stein; Terrence R Stanford; Benjamin A Rowland
Journal:  Nat Rev Neurosci       Date:  2014-08       Impact factor: 34.870

5.  Multisensory perception of action in posterior temporal and parietal cortices.

Authors:  Thomas W James; Ross M VanDerKlok; Ryan A Stevenson; Karin Harman James
Journal:  Neuropsychologia       Date:  2010-10-29       Impact factor: 3.139

6.  Intracranial cortical responses during visual-tactile integration in humans.

Authors:  Brian T Quinn; Chad Carlson; Werner Doyle; Sydney S Cash; Orrin Devinsky; Charles Spence; Eric Halgren; Thomas Thesen
Journal:  J Neurosci       Date:  2014-01-01       Impact factor: 6.167

Review 7.  Organization and plasticity in multisensory integration: early and late experience affects its governing principles.

Authors:  Barry E Stein; Benjamin A Rowland
Journal:  Prog Brain Res       Date:  2011       Impact factor: 2.453

8.  Adult plasticity in multisensory neurons: short-term experience-dependent changes in the superior colliculus.

Authors:  Liping Yu; Barry E Stein; Benjamin A Rowland
Journal:  J Neurosci       Date:  2009-12-16       Impact factor: 6.167

9.  Multisensory integration of redundant trisensory stimulation.

Authors:  Carl Erick Hagmann; Natalie Russo
Journal:  Atten Percept Psychophys       Date:  2016-11       Impact factor: 2.199

10.  Development of cortical influences on superior colliculus multisensory neurons: effects of dark-rearing.

Authors:  Liping Yu; Jinghong Xu; Benjamin A Rowland; Barry E Stein
Journal:  Eur J Neurosci       Date:  2013-03-27       Impact factor: 3.386

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