Literature DB >> 31132070

Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects.

Jeannette R Mahoney1, Joe Verghese2.   

Abstract

Multisensory integration research investigates how the brain processes simultaneous sensory information. Research on animals (mainly cats and primates) and humans reveal that intact multisensory integration is crucial for functioning in the real world, including both cognitive and physical activities. Much of the research conducted over the past several decades documents multisensory integration effects using diverse psychophysical, electrophysiological, and neuroimaging techniques. While its presence has been reported, the methods used to determine the magnitude of multisensory integration effects varies and typically faces much criticism. In what follows, limitations of previous behavioral studies are outlined and a step-by-step tutorial for calculating the magnitude of multisensory integration effects using robust probability models is provided.

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Year:  2019        PMID: 31132070      PMCID: PMC9425836          DOI: 10.3791/59575

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.424


  29 in total

1.  Auditory-somatosensory multisensory processing in auditory association cortex: an fMRI study.

Authors:  John J Foxe; Glenn R Wylie; Antigona Martinez; Charles E Schroeder; Daniel C Javitt; David Guilfoyle; Walter Ritter; Micah M Murray
Journal:  J Neurophysiol       Date:  2002-07       Impact factor: 2.714

2.  The redundant target effect is affected by modality switch costs.

Authors:  Matthias Gondan; Kathrin Lange; Frank Rösler; Brigitte Röder
Journal:  Psychon Bull Rev       Date:  2004-04

3.  Age-related multisensory enhancement in a simple audiovisual detection task.

Authors:  Ann M Peiffer; Jennifer L Mozolic; Christina E Hugenschmidt; Paul J Laurienti
Journal:  Neuroreport       Date:  2007-07-02       Impact factor: 1.837

4.  Humans integrate visual and haptic information in a statistically optimal fashion.

Authors:  Marc O Ernst; Martin S Banks
Journal:  Nature       Date:  2002-01-24       Impact factor: 49.962

5.  Screening for dementia with the memory impairment screen.

Authors:  H Buschke; G Kuslansky; M Katz; W F Stewart; M J Sliwinski; H M Eckholdt; R B Lipton
Journal:  Neurology       Date:  1999-01-15       Impact factor: 9.910

6.  Multisensory Integration Predicts Balance and Falls in Older Adults.

Authors:  Jeannette R Mahoney; Kelly Cotton; Joe Verghese
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2019-08-16       Impact factor: 6.053

7.  Validity and reliability of the AD8 informant interview in dementia.

Authors:  James E Galvin; Catherine M Roe; Chengjie Xiong; John C Morris
Journal:  Neurology       Date:  2006-12-12       Impact factor: 9.910

8.  Systematic biases and Type I error accumulation in tests of the race model inequality.

Authors:  Andrea Kiesel; Jeff Miller; Rolf Ulrich
Journal:  Behav Res Methods       Date:  2007-08

9.  Visual-somatosensory integration and balance: evidence for psychophysical integrative differences in aging.

Authors:  Jeannette R Mahoney; Roee Holtzer; Joe Verghese
Journal:  Multisens Res       Date:  2014       Impact factor: 2.286

10.  Visual-Somatosensory Integration in Older Adults: Links to Sensory Functioning.

Authors:  Kristina Dumas; Roee Holtzer; Jeannette R Mahoney
Journal:  Multisens Res       Date:  2016       Impact factor: 2.286

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  2 in total

1.  Immersive Virtual Reality Exergames to Promote the Well-being of Community-Dwelling Older Adults: Protocol for a Mixed Methods Pilot Study.

Authors:  Samira Mehrabi; John E Muñoz; Aysha Basharat; Jennifer Boger; Shi Cao; Michael Barnett-Cowan; Laura E Middleton
Journal:  JMIR Res Protoc       Date:  2022-06-13

2.  The Influence of Diabetes on Multisensory Integration and Mobility in Aging.

Authors:  Jeannette R Mahoney; Joe Verghese; Claudene George
Journal:  Brain Sci       Date:  2021-02-25
  2 in total

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