HapticV1, PascalFrancis, Corpus, bibRecord, 000858

An additive-factors design to disambiguate neuronal and areal convergence: measuring multisensory interactions between audio, visual, and haptic sensory streams using fMRI

Identifieur interne : 000858 ( PascalFrancis/Corpus ); précédent : 000857; suivant : 000859

An additive-factors design to disambiguate neuronal and areal convergence: measuring multisensory interactions between audio, visual, and haptic sensory streams using fMRI

Auteurs : Ryan A. Stevenson ; Sunah Kim ; Thomas W. James

Source :

Experimental brain research [ 0014-4819 ] ; 2009.

RBID : Francis:09-0430774

Descripteurs français

Pascal (Inist)
- Intégration multisensorielle, Imagerie RMN, Noyau caudé, Intégration nerveuse, Parole, Méthode analyse, Perception haptique.

English descriptors

KwdEn :
- Analysis method, Caudate nucleus, Haptic perception, Multisensory integration, Neural integration, Nuclear magnetic resonance imaging, Speech.

Abstract

It can be shown empirically and theoretically that inferences based on established metrics used to assess multisensory integration with BOLD fMRI data, such as superadditivity, are dependent on the particular experimental situation. For example, the law of inverse effectiveness shows that the likelihood of finding superadditivity in a known multisensory region increases with decreasing stimulus discriminability. In this paper, we suggest that Sternberg's additive-factors design allows for an unbiased assessment of multisensory integration. Through the manipulation of signal-to-noise ratio as an additive factor, we have identified networks of cortical regions that show properties of audio-visual or visuo-haptic neuronal convergence. These networks contained previously identified multisensory regions and also many new regions, for example, the caudate nucleus for audio-visual integration, and the fusiform gyrus for visuo-haptic integration. A comparison of integrative networks across audio-visual and visuo-haptic conditions showed very little overlap, suggesting that neural mechanisms of integration are unique to particular sensory pairings. Our results provide evidence for the utility of the additive-factors approach by demonstrating its effectiveness across modality (vision, audition, and haptics), stimulus type (speech and non-speech), experimental design (blocked and event-related), method of analysis (SPM and ROI), and experimenter-chosen baseline. The additive-factors approach provides a method for investigating multisensory interactions that goes beyond what can be achieved with more established metric-based, subtraction-type methods.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

A01	`01`	`1`		`@0 0014-4819`
A02	`01`			`@0 EXBRAP`
A03		`1`		`@0 Exp. brain res.`
A05				`@2 198`
A06				`@2 2-3`
A08	`01`	`1`	`ENG`	`@1 An additive-factors design to disambiguate neuronal and areal convergence: measuring multisensory interactions between audio, visual, and haptic sensory streams using fMRI`
A09	`01`	`1`	`ENG`	`@1 Crossmodal Processing`
A11	`01`	`1`		`@1 STEVENSON (Ryan A.)`
A11	`02`	`1`		`@1 KIM (Sunah)`
A11	`03`	`1`		`@1 JAMES (Thomas W.)`
A12	`01`	`1`		`@1 SPENCE (Charles) @9 ed.`
A12	`02`	`1`		`@1 SENKOWSKI (Daniel) @9 ed.`
A12	`03`	`1`		`@1 RÖDER (Brigitte) @9 ed.`
A14	`01`			`@1 Department of Psychological and Brain Sciences, Indiana University, 1101 East Tenth Street, Room 293 @2 Bloomington, IN 47405 @3 USA @Z 3 aut.`
A14	`02`			`@1 Program in Neuroscience, Indiana University @2 Bloomington @3 USA @Z 1 aut. @Z 2 aut. @Z 3 aut.`
A14	`03`			`@1 Cognitive Science Program, Indiana University @2 Bloomington @3 USA @Z 2 aut. @Z 3 aut.`
A15	`01`			`@1 Crossmodal Research Laboratory, Department of Experimental Psychology, Oxford University @2 OX1 3UD Oxford @3 GBR @Z 1 aut.`
A15	`02`			`@1 Department of Neurophysiology and pathophysiology, University Medical Center Hamburg-Eppendorf @2 20246 Hamburg @3 DEU @Z 2 aut.`
A15	`03`			`@1 Biological Psychology and Neuropsychology, University of Hamburg @2 20146 Hamburg @3 DEU @Z 3 aut.`
A20				`@1 183-194`
A21				`@1 2009`
A23	`01`			`@0 ENG`
A43	`01`			`@1 INIST @2 12535 @5 354000196196430060`
A44				`@0 0000 @1 © 2009 INIST-CNRS. All rights reserved.`
A45				`@0 1 p.1/4`
A47	`01`	`1`		`@0 09-0430774`
A60				`@1 P`
A61				`@0 A`
A64	`01`	`1`		`@0 Experimental brain research`
A66	`01`			`@0 DEU`
C01	`01`		`ENG`	@0 It can be shown empirically and theoretically that inferences based on established metrics used to assess multisensory integration with BOLD fMRI data, such as superadditivity, are dependent on the particular experimental situation. For example, the law of inverse effectiveness shows that the likelihood of finding superadditivity in a known multisensory region increases with decreasing stimulus discriminability. In this paper, we suggest that Sternberg's additive-factors design allows for an unbiased assessment of multisensory integration. Through the manipulation of signal-to-noise ratio as an additive factor, we have identified networks of cortical regions that show properties of audio-visual or visuo-haptic neuronal convergence. These networks contained previously identified multisensory regions and also many new regions, for example, the caudate nucleus for audio-visual integration, and the fusiform gyrus for visuo-haptic integration. A comparison of integrative networks across audio-visual and visuo-haptic conditions showed very little overlap, suggesting that neural mechanisms of integration are unique to particular sensory pairings. Our results provide evidence for the utility of the additive-factors approach by demonstrating its effectiveness across modality (vision, audition, and haptics), stimulus type (speech and non-speech), experimental design (blocked and event-related), method of analysis (SPM and ROI), and experimenter-chosen baseline. The additive-factors approach provides a method for investigating multisensory interactions that goes beyond what can be achieved with more established metric-based, subtraction-type methods.
C02	`01`	`X`		`@0 770B03D @1 II`
C03	`01`	`X`	`FRE`	`@0 Intégration multisensorielle @5 01`
C03	`01`	`X`	`ENG`	`@0 Multisensory integration @5 01`
C03	`01`	`X`	`SPA`	`@0 Integración multisensorial @5 01`
C03	`02`	`X`	`FRE`	`@0 Imagerie RMN @5 02`
C03	`02`	`X`	`ENG`	`@0 Nuclear magnetic resonance imaging @5 02`
C03	`02`	`X`	`SPA`	`@0 Imaginería RMN @5 02`
C03	`03`	`X`	`FRE`	`@0 Noyau caudé @5 03`
C03	`03`	`X`	`ENG`	`@0 Caudate nucleus @5 03`
C03	`03`	`X`	`SPA`	`@0 Núcleo caudado @5 03`
C03	`04`	`X`	`FRE`	`@0 Intégration nerveuse @5 04`
C03	`04`	`X`	`ENG`	`@0 Neural integration @5 04`
C03	`04`	`X`	`SPA`	`@0 Integración nerviosa @5 04`
C03	`05`	`X`	`FRE`	`@0 Parole @5 05`
C03	`05`	`X`	`ENG`	`@0 Speech @5 05`
C03	`05`	`X`	`SPA`	`@0 Habla @5 05`
C03	`06`	`X`	`FRE`	`@0 Méthode analyse @5 06`
C03	`06`	`X`	`ENG`	`@0 Analysis method @5 06`
C03	`06`	`X`	`SPA`	`@0 Método análisis @5 06`
C03	`07`	`X`	`FRE`	`@0 Perception haptique @4 CD @5 96`
C03	`07`	`X`	`ENG`	`@0 Haptic perception @4 CD @5 96`
C07	`01`	`X`	`FRE`	`@0 Encéphale @5 20`
C07	`01`	`X`	`ENG`	`@0 Encephalon @5 20`
C07	`01`	`X`	`SPA`	`@0 Encéfalo @5 20`
C07	`02`	`X`	`FRE`	`@0 Noyau gris central @5 21`
C07	`02`	`X`	`ENG`	`@0 Basal ganglion @5 21`
C07	`02`	`X`	`SPA`	`@0 Núcleo basal @5 21`
C07	`03`	`X`	`FRE`	`@0 Système nerveux central @5 22`
C07	`03`	`X`	`ENG`	`@0 Central nervous system @5 22`
C07	`03`	`X`	`SPA`	`@0 Sistema nervioso central @5 22`
N21				`@1 313`
N44	`01`			`@1 OTO`
N82				`@1 OTO`

Format Inist (serveur)

NO :	FRANCIS 09-0430774 INIST
ET :	An additive-factors design to disambiguate neuronal and areal convergence: measuring multisensory interactions between audio, visual, and haptic sensory streams using fMRI
AU :	STEVENSON (Ryan A.); KIM (Sunah); JAMES (Thomas W.); SPENCE (Charles); SENKOWSKI (Daniel); RÖDER (Brigitte)
AF :	Department of Psychological and Brain Sciences, Indiana University, 1101 East Tenth Street, Room 293/Bloomington, IN 47405/Etats-Unis (3 aut.); Program in Neuroscience, Indiana University/Bloomington/Etats-Unis (1 aut., 2 aut., 3 aut.); Cognitive Science Program, Indiana University/Bloomington/Etats-Unis (2 aut., 3 aut.); Crossmodal Research Laboratory, Department of Experimental Psychology, Oxford University/OX1 3UD Oxford/Royaume-Uni (1 aut.); Department of Neurophysiology and pathophysiology, University Medical Center Hamburg-Eppendorf/20246 Hamburg/Allemagne (2 aut.); Biological Psychology and Neuropsychology, University of Hamburg/20146 Hamburg/Allemagne (3 aut.)
DT :	Publication en série; Niveau analytique
SO :	Experimental brain research; ISSN 0014-4819; Coden EXBRAP; Allemagne; Da. 2009; Vol. 198; No. 2-3; Pp. 183-194; Bibl. 1 p.1/4
LA :	Anglais
EA :	It can be shown empirically and theoretically that inferences based on established metrics used to assess multisensory integration with BOLD fMRI data, such as superadditivity, are dependent on the particular experimental situation. For example, the law of inverse effectiveness shows that the likelihood of finding superadditivity in a known multisensory region increases with decreasing stimulus discriminability. In this paper, we suggest that Sternberg's additive-factors design allows for an unbiased assessment of multisensory integration. Through the manipulation of signal-to-noise ratio as an additive factor, we have identified networks of cortical regions that show properties of audio-visual or visuo-haptic neuronal convergence. These networks contained previously identified multisensory regions and also many new regions, for example, the caudate nucleus for audio-visual integration, and the fusiform gyrus for visuo-haptic integration. A comparison of integrative networks across audio-visual and visuo-haptic conditions showed very little overlap, suggesting that neural mechanisms of integration are unique to particular sensory pairings. Our results provide evidence for the utility of the additive-factors approach by demonstrating its effectiveness across modality (vision, audition, and haptics), stimulus type (speech and non-speech), experimental design (blocked and event-related), method of analysis (SPM and ROI), and experimenter-chosen baseline. The additive-factors approach provides a method for investigating multisensory interactions that goes beyond what can be achieved with more established metric-based, subtraction-type methods.
CC :	770B03D
FD :	Intégration multisensorielle; Imagerie RMN; Noyau caudé; Intégration nerveuse; Parole; Méthode analyse; Perception haptique
FG :	Encéphale; Noyau gris central; Système nerveux central
ED :	Multisensory integration; Nuclear magnetic resonance imaging; Caudate nucleus; Neural integration; Speech; Analysis method; Haptic perception
EG :	Encephalon; Basal ganglion; Central nervous system
SD :	Integración multisensorial; Imaginería RMN; Núcleo caudado; Integración nerviosa; Habla; Método análisis
LO :	INIST-12535.354000196196430060
ID :	09-0430774

Links to Exploration step

Francis:09-0430774

Le document en format XML

<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en" level="a">An additive-factors design to disambiguate neuronal and areal convergence: measuring multisensory interactions between audio, visual, and haptic sensory streams using fMRI</title>
<author><name sortKey="Stevenson, Ryan A" sort="Stevenson, Ryan A" uniqKey="Stevenson R" first="Ryan A." last="Stevenson">Ryan A. Stevenson</name>
<affiliation><inist:fA14 i1="02"><s1>Program in Neuroscience, Indiana University</s1>
<s2>Bloomington</s2>
<s3>USA</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
<author><name sortKey="Kim, Sunah" sort="Kim, Sunah" uniqKey="Kim S" first="Sunah" last="Kim">Sunah Kim</name>
<affiliation><inist:fA14 i1="02"><s1>Program in Neuroscience, Indiana University</s1>
<s2>Bloomington</s2>
<s3>USA</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
</inist:fA14>
</affiliation>
<affiliation><inist:fA14 i1="03"><s1>Cognitive Science Program, Indiana University</s1>
<s2>Bloomington</s2>
<s3>USA</s3>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
<author><name sortKey="James, Thomas W" sort="James, Thomas W" uniqKey="James T" first="Thomas W." last="James">Thomas W. James</name>
<affiliation><inist:fA14 i1="01"><s1>Department of Psychological and Brain Sciences, Indiana University, 1101 East Tenth Street, Room 293</s1>
<s2>Bloomington, IN 47405</s2>
<s3>USA</s3>
<sZ>3 aut.</sZ>
</inist:fA14>
</affiliation>
<affiliation><inist:fA14 i1="02"><s1>Program in Neuroscience, Indiana University</s1>
<s2>Bloomington</s2>
<s3>USA</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
</inist:fA14>
</affiliation>
<affiliation><inist:fA14 i1="03"><s1>Cognitive Science Program, Indiana University</s1>
<s2>Bloomington</s2>
<s3>USA</s3>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">INIST</idno>
<idno type="inist">09-0430774</idno>
<date when="2009">2009</date>
<idno type="stanalyst">FRANCIS 09-0430774 INIST</idno>
<idno type="RBID">Francis:09-0430774</idno>
<idno type="wicri:Area/PascalFrancis/Corpus">000858</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a">An additive-factors design to disambiguate neuronal and areal convergence: measuring multisensory interactions between audio, visual, and haptic sensory streams using fMRI</title>
<author><name sortKey="Stevenson, Ryan A" sort="Stevenson, Ryan A" uniqKey="Stevenson R" first="Ryan A." last="Stevenson">Ryan A. Stevenson</name>
<affiliation><inist:fA14 i1="02"><s1>Program in Neuroscience, Indiana University</s1>
<s2>Bloomington</s2>
<s3>USA</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
<author><name sortKey="Kim, Sunah" sort="Kim, Sunah" uniqKey="Kim S" first="Sunah" last="Kim">Sunah Kim</name>
<affiliation><inist:fA14 i1="02"><s1>Program in Neuroscience, Indiana University</s1>
<s2>Bloomington</s2>
<s3>USA</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
</inist:fA14>
</affiliation>
<affiliation><inist:fA14 i1="03"><s1>Cognitive Science Program, Indiana University</s1>
<s2>Bloomington</s2>
<s3>USA</s3>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
<author><name sortKey="James, Thomas W" sort="James, Thomas W" uniqKey="James T" first="Thomas W." last="James">Thomas W. James</name>
<affiliation><inist:fA14 i1="01"><s1>Department of Psychological and Brain Sciences, Indiana University, 1101 East Tenth Street, Room 293</s1>
<s2>Bloomington, IN 47405</s2>
<s3>USA</s3>
<sZ>3 aut.</sZ>
</inist:fA14>
</affiliation>
<affiliation><inist:fA14 i1="02"><s1>Program in Neuroscience, Indiana University</s1>
<s2>Bloomington</s2>
<s3>USA</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
</inist:fA14>
</affiliation>
<affiliation><inist:fA14 i1="03"><s1>Cognitive Science Program, Indiana University</s1>
<s2>Bloomington</s2>
<s3>USA</s3>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
</analytic>
<series><title level="j" type="main">Experimental brain research</title>
<title level="j" type="abbreviated">Exp. brain res.</title>
<idno type="ISSN">0014-4819</idno>
<imprint><date when="2009">2009</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
<seriesStmt><title level="j" type="main">Experimental brain research</title>
<title level="j" type="abbreviated">Exp. brain res.</title>
<idno type="ISSN">0014-4819</idno>
</seriesStmt>
</fileDesc>
<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Analysis method</term>
<term>Caudate nucleus</term>
<term>Haptic perception</term>
<term>Multisensory integration</term>
<term>Neural integration</term>
<term>Nuclear magnetic resonance imaging</term>
<term>Speech</term>
</keywords>
<keywords scheme="Pascal" xml:lang="fr"><term>Intégration multisensorielle</term>
<term>Imagerie RMN</term>
<term>Noyau caudé</term>
<term>Intégration nerveuse</term>
<term>Parole</term>
<term>Méthode analyse</term>
<term>Perception haptique</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en">It can be shown empirically and theoretically that inferences based on established metrics used to assess multisensory integration with BOLD fMRI data, such as superadditivity, are dependent on the particular experimental situation. For example, the law of inverse effectiveness shows that the likelihood of finding superadditivity in a known multisensory region increases with decreasing stimulus discriminability. In this paper, we suggest that Sternberg's additive-factors design allows for an unbiased assessment of multisensory integration. Through the manipulation of signal-to-noise ratio as an additive factor, we have identified networks of cortical regions that show properties of audio-visual or visuo-haptic neuronal convergence. These networks contained previously identified multisensory regions and also many new regions, for example, the caudate nucleus for audio-visual integration, and the fusiform gyrus for visuo-haptic integration. A comparison of integrative networks across audio-visual and visuo-haptic conditions showed very little overlap, suggesting that neural mechanisms of integration are unique to particular sensory pairings. Our results provide evidence for the utility of the additive-factors approach by demonstrating its effectiveness across modality (vision, audition, and haptics), stimulus type (speech and non-speech), experimental design (blocked and event-related), method of analysis (SPM and ROI), and experimenter-chosen baseline. The additive-factors approach provides a method for investigating multisensory interactions that goes beyond what can be achieved with more established metric-based, subtraction-type methods.</div>
</front>
</TEI>
<inist><standard h6="B"><pA><fA01 i1="01" i2="1"><s0>0014-4819</s0>
</fA01>
<fA02 i1="01"><s0>EXBRAP</s0>
</fA02>
<fA03 i2="1"><s0>Exp. brain res.</s0>
</fA03>
<fA05><s2>198</s2>
</fA05>
<fA06><s2>2-3</s2>
</fA06>
<fA08 i1="01" i2="1" l="ENG"><s1>An additive-factors design to disambiguate neuronal and areal convergence: measuring multisensory interactions between audio, visual, and haptic sensory streams using fMRI</s1>
</fA08>
<fA09 i1="01" i2="1" l="ENG"><s1>Crossmodal Processing</s1>
</fA09>
<fA11 i1="01" i2="1"><s1>STEVENSON (Ryan A.)</s1>
</fA11>
<fA11 i1="02" i2="1"><s1>KIM (Sunah)</s1>
</fA11>
<fA11 i1="03" i2="1"><s1>JAMES (Thomas W.)</s1>
</fA11>
<fA12 i1="01" i2="1"><s1>SPENCE (Charles)</s1>
<s9>ed.</s9>
</fA12>
<fA12 i1="02" i2="1"><s1>SENKOWSKI (Daniel)</s1>
<s9>ed.</s9>
</fA12>
<fA12 i1="03" i2="1"><s1>RÖDER (Brigitte)</s1>
<s9>ed.</s9>
</fA12>
<fA14 i1="01"><s1>Department of Psychological and Brain Sciences, Indiana University, 1101 East Tenth Street, Room 293</s1>
<s2>Bloomington, IN 47405</s2>
<s3>USA</s3>
<sZ>3 aut.</sZ>
</fA14>
<fA14 i1="02"><s1>Program in Neuroscience, Indiana University</s1>
<s2>Bloomington</s2>
<s3>USA</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
</fA14>
<fA14 i1="03"><s1>Cognitive Science Program, Indiana University</s1>
<s2>Bloomington</s2>
<s3>USA</s3>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
</fA14>
<fA15 i1="01"><s1>Crossmodal Research Laboratory, Department of Experimental Psychology, Oxford University</s1>
<s2>OX1 3UD Oxford</s2>
<s3>GBR</s3>
<sZ>1 aut.</sZ>
</fA15>
<fA15 i1="02"><s1>Department of Neurophysiology and pathophysiology, University Medical Center Hamburg-Eppendorf</s1>
<s2>20246 Hamburg</s2>
<s3>DEU</s3>
<sZ>2 aut.</sZ>
</fA15>
<fA15 i1="03"><s1>Biological Psychology and Neuropsychology, University of Hamburg</s1>
<s2>20146 Hamburg</s2>
<s3>DEU</s3>
<sZ>3 aut.</sZ>
</fA15>
<fA20><s1>183-194</s1>
</fA20>
<fA21><s1>2009</s1>
</fA21>
<fA23 i1="01"><s0>ENG</s0>
</fA23>
<fA43 i1="01"><s1>INIST</s1>
<s2>12535</s2>
<s5>354000196196430060</s5>
</fA43>
<fA44><s0>0000</s0>
<s1>© 2009 INIST-CNRS. All rights reserved.</s1>
</fA44>
<fA45><s0>1 p.1/4</s0>
</fA45>
<fA47 i1="01" i2="1"><s0>09-0430774</s0>
</fA47>
<fA60><s1>P</s1>
</fA60>
<fA61><s0>A</s0>
</fA61>
<fA64 i1="01" i2="1"><s0>Experimental brain research</s0>
</fA64>
<fA66 i1="01"><s0>DEU</s0>
</fA66>
<fC01 i1="01" l="ENG"><s0>It can be shown empirically and theoretically that inferences based on established metrics used to assess multisensory integration with BOLD fMRI data, such as superadditivity, are dependent on the particular experimental situation. For example, the law of inverse effectiveness shows that the likelihood of finding superadditivity in a known multisensory region increases with decreasing stimulus discriminability. In this paper, we suggest that Sternberg's additive-factors design allows for an unbiased assessment of multisensory integration. Through the manipulation of signal-to-noise ratio as an additive factor, we have identified networks of cortical regions that show properties of audio-visual or visuo-haptic neuronal convergence. These networks contained previously identified multisensory regions and also many new regions, for example, the caudate nucleus for audio-visual integration, and the fusiform gyrus for visuo-haptic integration. A comparison of integrative networks across audio-visual and visuo-haptic conditions showed very little overlap, suggesting that neural mechanisms of integration are unique to particular sensory pairings. Our results provide evidence for the utility of the additive-factors approach by demonstrating its effectiveness across modality (vision, audition, and haptics), stimulus type (speech and non-speech), experimental design (blocked and event-related), method of analysis (SPM and ROI), and experimenter-chosen baseline. The additive-factors approach provides a method for investigating multisensory interactions that goes beyond what can be achieved with more established metric-based, subtraction-type methods.</s0>
</fC01>
<fC02 i1="01" i2="X"><s0>770B03D</s0>
<s1>II</s1>
</fC02>
<fC03 i1="01" i2="X" l="FRE"><s0>Intégration multisensorielle</s0>
<s5>01</s5>
</fC03>
<fC03 i1="01" i2="X" l="ENG"><s0>Multisensory integration</s0>
<s5>01</s5>
</fC03>
<fC03 i1="01" i2="X" l="SPA"><s0>Integración multisensorial</s0>
<s5>01</s5>
</fC03>
<fC03 i1="02" i2="X" l="FRE"><s0>Imagerie RMN</s0>
<s5>02</s5>
</fC03>
<fC03 i1="02" i2="X" l="ENG"><s0>Nuclear magnetic resonance imaging</s0>
<s5>02</s5>
</fC03>
<fC03 i1="02" i2="X" l="SPA"><s0>Imaginería RMN</s0>
<s5>02</s5>
</fC03>
<fC03 i1="03" i2="X" l="FRE"><s0>Noyau caudé</s0>
<s5>03</s5>
</fC03>
<fC03 i1="03" i2="X" l="ENG"><s0>Caudate nucleus</s0>
<s5>03</s5>
</fC03>
<fC03 i1="03" i2="X" l="SPA"><s0>Núcleo caudado</s0>
<s5>03</s5>
</fC03>
<fC03 i1="04" i2="X" l="FRE"><s0>Intégration nerveuse</s0>
<s5>04</s5>
</fC03>
<fC03 i1="04" i2="X" l="ENG"><s0>Neural integration</s0>
<s5>04</s5>
</fC03>
<fC03 i1="04" i2="X" l="SPA"><s0>Integración nerviosa</s0>
<s5>04</s5>
</fC03>
<fC03 i1="05" i2="X" l="FRE"><s0>Parole</s0>
<s5>05</s5>
</fC03>
<fC03 i1="05" i2="X" l="ENG"><s0>Speech</s0>
<s5>05</s5>
</fC03>
<fC03 i1="05" i2="X" l="SPA"><s0>Habla</s0>
<s5>05</s5>
</fC03>
<fC03 i1="06" i2="X" l="FRE"><s0>Méthode analyse</s0>
<s5>06</s5>
</fC03>
<fC03 i1="06" i2="X" l="ENG"><s0>Analysis method</s0>
<s5>06</s5>
</fC03>
<fC03 i1="06" i2="X" l="SPA"><s0>Método análisis</s0>
<s5>06</s5>
</fC03>
<fC03 i1="07" i2="X" l="FRE"><s0>Perception haptique</s0>
<s4>CD</s4>
<s5>96</s5>
</fC03>
<fC03 i1="07" i2="X" l="ENG"><s0>Haptic perception</s0>
<s4>CD</s4>
<s5>96</s5>
</fC03>
<fC07 i1="01" i2="X" l="FRE"><s0>Encéphale</s0>
<s5>20</s5>
</fC07>
<fC07 i1="01" i2="X" l="ENG"><s0>Encephalon</s0>
<s5>20</s5>
</fC07>
<fC07 i1="01" i2="X" l="SPA"><s0>Encéfalo</s0>
<s5>20</s5>
</fC07>
<fC07 i1="02" i2="X" l="FRE"><s0>Noyau gris central</s0>
<s5>21</s5>
</fC07>
<fC07 i1="02" i2="X" l="ENG"><s0>Basal ganglion</s0>
<s5>21</s5>
</fC07>
<fC07 i1="02" i2="X" l="SPA"><s0>Núcleo basal</s0>
<s5>21</s5>
</fC07>
<fC07 i1="03" i2="X" l="FRE"><s0>Système nerveux central</s0>
<s5>22</s5>
</fC07>
<fC07 i1="03" i2="X" l="ENG"><s0>Central nervous system</s0>
<s5>22</s5>
</fC07>
<fC07 i1="03" i2="X" l="SPA"><s0>Sistema nervioso central</s0>
<s5>22</s5>
</fC07>
<fN21><s1>313</s1>
</fN21>
<fN44 i1="01"><s1>OTO</s1>
</fN44>
<fN82><s1>OTO</s1>
</fN82>
</pA>
</standard>
<server><NO>FRANCIS 09-0430774 INIST</NO>
<ET>An additive-factors design to disambiguate neuronal and areal convergence: measuring multisensory interactions between audio, visual, and haptic sensory streams using fMRI</ET>
<AU>STEVENSON (Ryan A.); KIM (Sunah); JAMES (Thomas W.); SPENCE (Charles); SENKOWSKI (Daniel); RÖDER (Brigitte)</AU>
<AF>Department of Psychological and Brain Sciences, Indiana University, 1101 East Tenth Street, Room 293/Bloomington, IN 47405/Etats-Unis (3 aut.); Program in Neuroscience, Indiana University/Bloomington/Etats-Unis (1 aut., 2 aut., 3 aut.); Cognitive Science Program, Indiana University/Bloomington/Etats-Unis (2 aut., 3 aut.); Crossmodal Research Laboratory, Department of Experimental Psychology, Oxford University/OX1 3UD Oxford/Royaume-Uni (1 aut.); Department of Neurophysiology and pathophysiology, University Medical Center Hamburg-Eppendorf/20246 Hamburg/Allemagne (2 aut.); Biological Psychology and Neuropsychology, University of Hamburg/20146 Hamburg/Allemagne (3 aut.)</AF>
<DT>Publication en série; Niveau analytique</DT>
<SO>Experimental brain research; ISSN 0014-4819; Coden EXBRAP; Allemagne; Da. 2009; Vol. 198; No. 2-3; Pp. 183-194; Bibl. 1 p.1/4</SO>
<LA>Anglais</LA>
<EA>It can be shown empirically and theoretically that inferences based on established metrics used to assess multisensory integration with BOLD fMRI data, such as superadditivity, are dependent on the particular experimental situation. For example, the law of inverse effectiveness shows that the likelihood of finding superadditivity in a known multisensory region increases with decreasing stimulus discriminability. In this paper, we suggest that Sternberg's additive-factors design allows for an unbiased assessment of multisensory integration. Through the manipulation of signal-to-noise ratio as an additive factor, we have identified networks of cortical regions that show properties of audio-visual or visuo-haptic neuronal convergence. These networks contained previously identified multisensory regions and also many new regions, for example, the caudate nucleus for audio-visual integration, and the fusiform gyrus for visuo-haptic integration. A comparison of integrative networks across audio-visual and visuo-haptic conditions showed very little overlap, suggesting that neural mechanisms of integration are unique to particular sensory pairings. Our results provide evidence for the utility of the additive-factors approach by demonstrating its effectiveness across modality (vision, audition, and haptics), stimulus type (speech and non-speech), experimental design (blocked and event-related), method of analysis (SPM and ROI), and experimenter-chosen baseline. The additive-factors approach provides a method for investigating multisensory interactions that goes beyond what can be achieved with more established metric-based, subtraction-type methods.</EA>
<CC>770B03D</CC>
<FD>Intégration multisensorielle; Imagerie RMN; Noyau caudé; Intégration nerveuse; Parole; Méthode analyse; Perception haptique</FD>
<FG>Encéphale; Noyau gris central; Système nerveux central</FG>
<ED>Multisensory integration; Nuclear magnetic resonance imaging; Caudate nucleus; Neural integration; Speech; Analysis method; Haptic perception</ED>
<EG>Encephalon; Basal ganglion; Central nervous system</EG>
<SD>Integración multisensorial; Imaginería RMN; Núcleo caudado; Integración nerviosa; Habla; Método análisis</SD>
<LO>INIST-12535.354000196196430060</LO>
<ID>09-0430774</ID>
</server>
</inist>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Ticri/CIDE/explor/HapticV1/Data/PascalFrancis/Corpus

HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000858 | SxmlIndent | more

HfdSelect -h $EXPLOR_AREA/Data/PascalFrancis/Corpus/biblio.hfd -nk 000858 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Ticri/CIDE
   |area=    HapticV1
   |flux=    PascalFrancis
   |étape=   Corpus
   |type=    RBID
   |clé=     Francis:09-0430774
   |texte=   An additive-factors design to disambiguate neuronal and areal convergence: measuring multisensory interactions between audio, visual, and haptic sensory streams using fMRI
}}

This area was generated with Dilib version V0.6.23.
Data generation: Mon Jun 13 01:09:46 2016. Site generation: Wed Mar 6 09:54:07 2024

	Serveur d'exploration sur les dispositifs haptiques
	Attention, ce site est en cours de développement ! Attention, site généré par des moyens informatiques à partir de corpus bruts. Les informations ne sont donc pas validées.

Serveur d'exploration sur les dispositifs haptiques

An additive-factors design to disambiguate neuronal and areal convergence: measuring multisensory interactions between audio, visual, and haptic sensory streams using fMRI

An additive-factors design to disambiguate neuronal and areal convergence: measuring multisensory interactions between audio, visual, and haptic sensory streams using fMRI

Source :

Descripteurs français

English descriptors

Abstract

Notice en format standard (ISO 2709)

Format Inist (serveur)

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri