Spatial imagery in haptic shape perception.
Identifieur interne : 000599 ( PubMed/Corpus ); précédent : 000598; suivant : 000600Spatial imagery in haptic shape perception.
Auteurs : Simon Lacey ; Randall Stilla ; Karthik Sreenivasan ; Gopikrishna Deshpande ; K. SathianSource :
- Neuropsychologia [ 1873-3514 ] ; 2014.
English descriptors
- KwdEn :
- MESH :
- physiology : Brain, Imagination, Nerve Net, Recognition (Psychology), Space Perception, Touch Perception.
- Adult, Brain Mapping, Female, Humans, Magnetic Resonance Imaging, Male, Young Adult.
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.
DOI: 10.1016/j.neuropsychologia.2014.05.008
PubMed: 25017050
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pubmed:25017050Le document en format XML
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Sathian</name><affiliation><nlm:affiliation>Department of Neurology, Emory University, Atlanta, GA, USA; Department of Rehabilitation Medicine, Emory University, Atlanta, GA, USA; Department of Psychology, Emory University, Atlanta, GA, USA; Rehabilitation R&D Center of Excellence, Atlanta VAMC, Decatur, GA, USA. Electronic address: krish.sathian@emory.edu.</nlm:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2014">2014</date><idno type="RBID">pubmed:25017050</idno><idno type="pmid">25017050</idno><idno type="doi">10.1016/j.neuropsychologia.2014.05.008</idno><idno type="wicri:Area/PubMed/Corpus">000599</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Spatial imagery in haptic shape perception.</title><author><name sortKey="Lacey, Simon" sort="Lacey, Simon" uniqKey="Lacey S" first="Simon" last="Lacey">Simon Lacey</name><affiliation><nlm:affiliation>Department of Neurology, Emory University, Atlanta, GA, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Stilla, Randall" sort="Stilla, Randall" uniqKey="Stilla R" first="Randall" last="Stilla">Randall Stilla</name><affiliation><nlm:affiliation>Department of Neurology, Emory University, Atlanta, GA, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Sreenivasan, Karthik" sort="Sreenivasan, Karthik" uniqKey="Sreenivasan K" first="Karthik" last="Sreenivasan">Karthik Sreenivasan</name><affiliation><nlm:affiliation>AU MRI Research Center, Department of Electrical & Computer Engineering, Auburn University, Auburn, AL, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Deshpande, Gopikrishna" sort="Deshpande, Gopikrishna" uniqKey="Deshpande G" first="Gopikrishna" last="Deshpande">Gopikrishna Deshpande</name><affiliation><nlm:affiliation>AU MRI Research Center, Department of Electrical & Computer Engineering, Auburn University, Auburn, AL, USA; Department of Psychology, Auburn University, Auburn, AL, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Sathian, K" sort="Sathian, K" uniqKey="Sathian K" first="K" last="Sathian">K. Sathian</name><affiliation><nlm:affiliation>Department of Neurology, Emory University, Atlanta, GA, USA; Department of Rehabilitation Medicine, Emory University, Atlanta, GA, USA; Department of Psychology, Emory University, Atlanta, GA, USA; Rehabilitation R&D Center of Excellence, Atlanta VAMC, Decatur, GA, USA. Electronic address: krish.sathian@emory.edu.</nlm:affiliation></affiliation></author></analytic><series><title level="j">Neuropsychologia</title><idno type="eISSN">1873-3514</idno><imprint><date when="2014" type="published">2014</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adult</term><term>Brain (physiology)</term><term>Brain Mapping</term><term>Female</term><term>Humans</term><term>Imagination (physiology)</term><term>Magnetic Resonance Imaging</term><term>Male</term><term>Nerve Net (physiology)</term><term>Recognition (Psychology) (physiology)</term><term>Space Perception (physiology)</term><term>Touch Perception (physiology)</term><term>Young Adult</term></keywords><keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Brain</term><term>Imagination</term><term>Nerve Net</term><term>Recognition (Psychology)</term><term>Space Perception</term><term>Touch Perception</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adult</term><term>Brain Mapping</term><term>Female</term><term>Humans</term><term>Magnetic Resonance Imaging</term><term>Male</term><term>Young Adult</term></keywords></textClass></profileDesc></teiHeader><front><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></front></TEI><pubmed><MedlineCitation Owner="NLM" Status="MEDLINE"><PMID Version="1">25017050</PMID><DateCreated><Year>2014</Year><Month>07</Month><Day>21</Day></DateCreated><DateCompleted><Year>2015</Year><Month>03</Month><Day>09</Day></DateCompleted><DateRevised><Year>2015</Year><Month>08</Month><Day>05</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1873-3514</ISSN><JournalIssue CitedMedium="Internet"><Volume>60</Volume><PubDate><Year>2014</Year><Month>Jul</Month></PubDate></JournalIssue><Title>Neuropsychologia</Title><ISOAbbreviation>Neuropsychologia</ISOAbbreviation></Journal><ArticleTitle>Spatial imagery in haptic shape perception.</ArticleTitle><Pagination><MedlinePgn>144-58</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.neuropsychologia.2014.05.008</ELocationID><ELocationID EIdType="pii" ValidYN="Y">S0028-3932(14)00156-0</ELocationID><Abstract><AbstractText>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.</AbstractText><CopyrightInformation>Copyright © 2014 Elsevier Ltd. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Lacey</LastName><ForeName>Simon</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>Department of Neurology, Emory University, Atlanta, GA, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Stilla</LastName><ForeName>Randall</ForeName><Initials>R</Initials><AffiliationInfo><Affiliation>Department of Neurology, Emory University, Atlanta, GA, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Sreenivasan</LastName><ForeName>Karthik</ForeName><Initials>K</Initials><AffiliationInfo><Affiliation>AU MRI Research Center, Department of Electrical & Computer Engineering, Auburn University, Auburn, AL, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Deshpande</LastName><ForeName>Gopikrishna</ForeName><Initials>G</Initials><AffiliationInfo><Affiliation>AU MRI Research Center, Department of Electrical & Computer Engineering, Auburn University, Auburn, AL, USA; Department of Psychology, Auburn University, Auburn, AL, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Sathian</LastName><ForeName>K</ForeName><Initials>K</Initials><AffiliationInfo><Affiliation>Department of Neurology, Emory University, Atlanta, GA, USA; Department of Rehabilitation Medicine, Emory University, Atlanta, GA, USA; Department of Psychology, Emory University, Atlanta, GA, USA; Rehabilitation R&D Center of Excellence, Atlanta VAMC, Decatur, GA, USA. Electronic address: krish.sathian@emory.edu.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><GrantList CompleteYN="Y"><Grant><GrantID>R01 EY012440</GrantID><Acronym>EY</Acronym><Agency>NEI NIH HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>R01 EY012440</GrantID><Acronym>EY</Acronym><Agency>NEI NIH HHS</Agency><Country>United States</Country></Grant></GrantList><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D052061">Research Support, N.I.H., Extramural</PublicationType><PublicationType UI="D013486">Research Support, U.S. Gov't, Non-P.H.S.</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2014</Year><Month>06</Month><Day>02</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>Neuropsychologia</MedlineTA><NlmUniqueID>0020713</NlmUniqueID><ISSNLinking>0028-3932</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><CommentsCorrectionsList><CommentsCorrections RefType="Cites"><RefSource>Neuroimage. 2009 Feb 15;44(4):1369-79</RefSource><PMID Version="1">19059350</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Nat Neurosci. 2007 Jun;10(6):687-9</RefSource><PMID Version="1">17515898</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Hum Brain Mapp. 2009 Apr;30(4):1361-73</RefSource><PMID Version="1">18537116</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Brain Topogr. 2009 May;21(3-4):269-74</RefSource><PMID Version="1">19330441</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Neuroimage. 2010 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HfdIndexSelect -h $EXPLOR_AREA/Data/PubMed/Corpus/RBID.i -Sk "pubmed:25017050" \
| HfdSelect -Kh $EXPLOR_AREA/Data/PubMed/Corpus/biblio.hfd \
| NlmPubMed2Wicri -a HapticV1
| This area was generated with Dilib version V0.6.23. |  |