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Spatial imagery in haptic shape perception

Identifieur interne : 001218 ( PascalFrancis/Curation ); précédent : 001217; suivant : 001219

Spatial imagery in haptic shape perception

Auteurs : Simon Lacey [États-Unis] ; Randall Stilla [États-Unis] ; Karthik Sreenivasan [États-Unis] ; Gopikrishna Deshpande [États-Unis] ; K. Sathian [États-Unis]

Source :

RBID : Pascal:14-0204790

Descripteurs français

English descriptors

Abstract

We have proposed that haptic activation of the shape-selective lateral occipital complex (LOC) reflects a model of multisensory object representation in which the role of visual imagery is modulated by object familiarity. Supporting this, a previous functional magnetic resonance imaging (fMRI) study from our laboratory used inter-task correlations of blood oxygenation level-dependent (BOLD) signal magnitude and effective connectivity (EC) patterns based on the BOLD signals to show that the neural processes underlying visual object imagery (objIMG) are more similar to those mediating haptic perception of familiar (fHS) than unfamiliar (uHS) shapes. Here we employed fMRI to test a further hypothesis derived from our model, that spatial imagery (spIMG) would evoke activation and effective connectivity patterns more related to uHS than fHS. We found that few of the regions conjointly activated by spIMG and either fHS or uHS showed inter-task correlations of BOLD signal magnitudes, with parietal foci featuring in both sets of correlations. This may indicate some involvement of spIMG in HS regardless of object familiarity, contrary to our hypothesis, although we cannot rule out alternative explanations for the commonalities between the networks, such as generic imagery or spatial processes. EC analyses, based on inferred neuronal time series obtained by deconvolution of the hemodynamic response function from the measured BOLD time series, showed that spIMG shared more common paths with uHS than fHS. Re-analysis of our previous data, using the same EC methods as those used here, showed that, by contrast, objIMG shared more common paths with fHS than uHS. Thus, although our model requires some refinement, its basic architecture is supported: a stronger relationship between spIMG and uHS compared to fHS, and a stronger relationship between objIMG and fHS compared to uHS.
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A11 05  1    @1 SATHIAN (K.)
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C01 01    ENG  @0 We have proposed that haptic activation of the shape-selective lateral occipital complex (LOC) reflects a model of multisensory object representation in which the role of visual imagery is modulated by object familiarity. Supporting this, a previous functional magnetic resonance imaging (fMRI) study from our laboratory used inter-task correlations of blood oxygenation level-dependent (BOLD) signal magnitude and effective connectivity (EC) patterns based on the BOLD signals to show that the neural processes underlying visual object imagery (objIMG) are more similar to those mediating haptic perception of familiar (fHS) than unfamiliar (uHS) shapes. Here we employed fMRI to test a further hypothesis derived from our model, that spatial imagery (spIMG) would evoke activation and effective connectivity patterns more related to uHS than fHS. We found that few of the regions conjointly activated by spIMG and either fHS or uHS showed inter-task correlations of BOLD signal magnitudes, with parietal foci featuring in both sets of correlations. This may indicate some involvement of spIMG in HS regardless of object familiarity, contrary to our hypothesis, although we cannot rule out alternative explanations for the commonalities between the networks, such as generic imagery or spatial processes. EC analyses, based on inferred neuronal time series obtained by deconvolution of the hemodynamic response function from the measured BOLD time series, showed that spIMG shared more common paths with uHS than fHS. Re-analysis of our previous data, using the same EC methods as those used here, showed that, by contrast, objIMG shared more common paths with fHS than uHS. Thus, although our model requires some refinement, its basic architecture is supported: a stronger relationship between spIMG and uHS compared to fHS, and a stronger relationship between objIMG and fHS compared to uHS.
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C03 06  X  SPA  @0 Percepción intermodal @5 06
C03 07  X  FRE  @0 Imagerie visuelle @5 07
C03 07  X  ENG  @0 Visual imagery @5 07
C03 07  X  SPA  @0 Imaginería visual @5 07
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C03 09  X  SPA  @0 Hombre @5 18
C03 10  X  FRE  @0 Imagerie par résonance magnétique fonctionnelle @4 CD @5 96
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C03 10  X  SPA  @0 Imagen por resonancia magnética funcional @4 CD @5 96
C03 11  X  FRE  @0 Familiarité @4 CD @5 97
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N21       @1 251

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<div type="abstract" xml:lang="en">We have proposed that haptic activation of the shape-selective lateral occipital complex (LOC) reflects a model of multisensory object representation in which the role of visual imagery is modulated by object familiarity. Supporting this, a previous functional magnetic resonance imaging (fMRI) study from our laboratory used inter-task correlations of blood oxygenation level-dependent (BOLD) signal magnitude and effective connectivity (EC) patterns based on the BOLD signals to show that the neural processes underlying visual object imagery (objIMG) are more similar to those mediating haptic perception of familiar (fHS) than unfamiliar (uHS) shapes. Here we employed fMRI to test a further hypothesis derived from our model, that spatial imagery (spIMG) would evoke activation and effective connectivity patterns more related to uHS than fHS. We found that few of the regions conjointly activated by spIMG and either fHS or uHS showed inter-task correlations of BOLD signal magnitudes, with parietal foci featuring in both sets of correlations. This may indicate some involvement of spIMG in HS regardless of object familiarity, contrary to our hypothesis, although we cannot rule out alternative explanations for the commonalities between the networks, such as generic imagery or spatial processes. EC analyses, based on inferred neuronal time series obtained by deconvolution of the hemodynamic response function from the measured BOLD time series, showed that spIMG shared more common paths with uHS than fHS. Re-analysis of our previous data, using the same EC methods as those used here, showed that, by contrast, objIMG shared more common paths with fHS than uHS. Thus, although our model requires some refinement, its basic architecture is supported: a stronger relationship between spIMG and uHS compared to fHS, and a stronger relationship between objIMG and fHS compared to uHS.</div>
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<s0>We have proposed that haptic activation of the shape-selective lateral occipital complex (LOC) reflects a model of multisensory object representation in which the role of visual imagery is modulated by object familiarity. Supporting this, a previous functional magnetic resonance imaging (fMRI) study from our laboratory used inter-task correlations of blood oxygenation level-dependent (BOLD) signal magnitude and effective connectivity (EC) patterns based on the BOLD signals to show that the neural processes underlying visual object imagery (objIMG) are more similar to those mediating haptic perception of familiar (fHS) than unfamiliar (uHS) shapes. Here we employed fMRI to test a further hypothesis derived from our model, that spatial imagery (spIMG) would evoke activation and effective connectivity patterns more related to uHS than fHS. We found that few of the regions conjointly activated by spIMG and either fHS or uHS showed inter-task correlations of BOLD signal magnitudes, with parietal foci featuring in both sets of correlations. This may indicate some involvement of spIMG in HS regardless of object familiarity, contrary to our hypothesis, although we cannot rule out alternative explanations for the commonalities between the networks, such as generic imagery or spatial processes. EC analyses, based on inferred neuronal time series obtained by deconvolution of the hemodynamic response function from the measured BOLD time series, showed that spIMG shared more common paths with uHS than fHS. Re-analysis of our previous data, using the same EC methods as those used here, showed that, by contrast, objIMG shared more common paths with fHS than uHS. Thus, although our model requires some refinement, its basic architecture is supported: a stronger relationship between spIMG and uHS compared to fHS, and a stronger relationship between objIMG and fHS compared to uHS.</s0>
</fC01>
<fC02 i1="01" i2="X">
<s0>002A26E05</s0>
</fC02>
<fC03 i1="01" i2="X" l="FRE">
<s0>Imagerie mentale</s0>
<s5>01</s5>
</fC03>
<fC03 i1="01" i2="X" l="ENG">
<s0>Mental imagery</s0>
<s5>01</s5>
</fC03>
<fC03 i1="01" i2="X" l="SPA">
<s0>Imaginería mental</s0>
<s5>01</s5>
</fC03>
<fC03 i1="02" i2="X" l="FRE">
<s0>Sensibilité tactile</s0>
<s5>02</s5>
</fC03>
<fC03 i1="02" i2="X" l="ENG">
<s0>Tactile sensitivity</s0>
<s5>02</s5>
</fC03>
<fC03 i1="02" i2="X" l="SPA">
<s0>Sensibilidad tactil</s0>
<s5>02</s5>
</fC03>
<fC03 i1="03" i2="X" l="FRE">
<s0>Forme stimulus</s0>
<s5>03</s5>
</fC03>
<fC03 i1="03" i2="X" l="ENG">
<s0>Stimulus shape</s0>
<s5>03</s5>
</fC03>
<fC03 i1="03" i2="X" l="SPA">
<s0>Forma estímulo</s0>
<s5>03</s5>
</fC03>
<fC03 i1="04" i2="X" l="FRE">
<s0>Encéphale</s0>
<s5>04</s5>
</fC03>
<fC03 i1="04" i2="X" l="ENG">
<s0>Encephalon</s0>
<s5>04</s5>
</fC03>
<fC03 i1="04" i2="X" l="SPA">
<s0>Encéfalo</s0>
<s5>04</s5>
</fC03>
<fC03 i1="05" i2="X" l="FRE">
<s0>Etude expérimentale</s0>
<s5>05</s5>
</fC03>
<fC03 i1="05" i2="X" l="ENG">
<s0>Experimental study</s0>
<s5>05</s5>
</fC03>
<fC03 i1="05" i2="X" l="SPA">
<s0>Estudio experimental</s0>
<s5>05</s5>
</fC03>
<fC03 i1="06" i2="X" l="FRE">
<s0>Perception intermodale</s0>
<s5>06</s5>
</fC03>
<fC03 i1="06" i2="X" l="ENG">
<s0>Intermodal perception</s0>
<s5>06</s5>
</fC03>
<fC03 i1="06" i2="X" l="SPA">
<s0>Percepción intermodal</s0>
<s5>06</s5>
</fC03>
<fC03 i1="07" i2="X" l="FRE">
<s0>Imagerie visuelle</s0>
<s5>07</s5>
</fC03>
<fC03 i1="07" i2="X" l="ENG">
<s0>Visual imagery</s0>
<s5>07</s5>
</fC03>
<fC03 i1="07" i2="X" l="SPA">
<s0>Imaginería visual</s0>
<s5>07</s5>
</fC03>
<fC03 i1="08" i2="X" l="FRE">
<s0>Familiarité stimulus</s0>
<s5>08</s5>
</fC03>
<fC03 i1="08" i2="X" l="ENG">
<s0>Stimulus familiarity</s0>
<s5>08</s5>
</fC03>
<fC03 i1="08" i2="X" l="SPA">
<s0>Familiaridad estímulo</s0>
<s5>08</s5>
</fC03>
<fC03 i1="09" i2="X" l="FRE">
<s0>Homme</s0>
<s5>18</s5>
</fC03>
<fC03 i1="09" i2="X" l="ENG">
<s0>Human</s0>
<s5>18</s5>
</fC03>
<fC03 i1="09" i2="X" l="SPA">
<s0>Hombre</s0>
<s5>18</s5>
</fC03>
<fC03 i1="10" i2="X" l="FRE">
<s0>Imagerie par résonance magnétique fonctionnelle</s0>
<s4>CD</s4>
<s5>96</s5>
</fC03>
<fC03 i1="10" i2="X" l="ENG">
<s0>Functional magnetic resonance imaging</s0>
<s4>CD</s4>
<s5>96</s5>
</fC03>
<fC03 i1="10" i2="X" l="SPA">
<s0>Imagen por resonancia magnética funcional</s0>
<s4>CD</s4>
<s5>96</s5>
</fC03>
<fC03 i1="11" i2="X" l="FRE">
<s0>Familiarité</s0>
<s4>CD</s4>
<s5>97</s5>
</fC03>
<fC03 i1="11" i2="X" l="ENG">
<s0>Familiarity</s0>
<s4>CD</s4>
<s5>97</s5>
</fC03>
<fC03 i1="11" i2="X" l="SPA">
<s0>Familiaridad</s0>
<s4>CD</s4>
<s5>97</s5>
</fC03>
<fC07 i1="01" i2="X" l="FRE">
<s0>Système nerveux central</s0>
<s5>37</s5>
</fC07>
<fC07 i1="01" i2="X" l="ENG">
<s0>Central nervous system</s0>
<s5>37</s5>
</fC07>
<fC07 i1="01" i2="X" l="SPA">
<s0>Sistema nervioso central</s0>
<s5>37</s5>
</fC07>
<fC07 i1="02" i2="X" l="FRE">
<s0>Cognition</s0>
<s5>38</s5>
</fC07>
<fC07 i1="02" i2="X" l="ENG">
<s0>Cognition</s0>
<s5>38</s5>
</fC07>
<fC07 i1="02" i2="X" l="SPA">
<s0>Cognición</s0>
<s5>38</s5>
</fC07>
<fN21>
<s1>251</s1>
</fN21>
</pA>
</standard>
</inist>
</record>

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