Loading…
An event-related potential component sensitive to images of the human body
One of the critical functions of vision is to provide information about other individuals. Neuroimaging experiments examining the cortical regions that analyze the appearance of other people have found partially overlapping networks that respond selectively to human faces and bodies. In event-relate...
Saved in:
Published in: | NeuroImage (Orlando, Fla.) Fla.), 2006-08, Vol.32 (2), p.871-879 |
---|---|
Main Authors: | , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c521t-105b6733bdcafb0778f139f794b30c22299d10ac75557bf0a984b7d86fd43c363 |
---|---|
cites | cdi_FETCH-LOGICAL-c521t-105b6733bdcafb0778f139f794b30c22299d10ac75557bf0a984b7d86fd43c363 |
container_end_page | 879 |
container_issue | 2 |
container_start_page | 871 |
container_title | NeuroImage (Orlando, Fla.) |
container_volume | 32 |
creator | Thierry, Guillaume Pegna, Alan J. Dodds, Chris Roberts, Mark Basan, Sébastien Downing, Paul |
description | One of the critical functions of vision is to provide information about other individuals. Neuroimaging experiments examining the cortical regions that analyze the appearance of other people have found partially overlapping networks that respond selectively to human faces and bodies. In event-related potential (ERP) studies, faces systematically elicit a negative component peaking 170 ms after presentation — the N170. To characterize the electrophysiological response to human bodies, we compared the ERPs elicited by faces, bodies and various control stimuli. In Experiment 1, a comparison of ERPs elicited by faces, bodies, objects and places showed that pictures of the human body (without the head) elicit a negative component peaking at 190 ms (an N190). While broadly similar to the N170, the N190 differs in both spatial distribution and amplitude from the N1 components elicited by faces, objects and scenes and peaks significantly later than the N170. The difference between N190 and N170 was further supported using topographic analyses of ERPs and source localization techniques. A unique, stable map topography was found to characterize human bodies between 130 and 230 ms. In Experiment 2, we tested the four conditions from Experiment 1, as well as intact and scrambled silhouettes and stick figures of the human body. We found that intact silhouettes and stick figures elicited significantly greater N190 amplitudes than their scrambled counterparts. Thus, the N190 generalizes to some degree to schematic depictions of the human form. Overall, our findings are consistent with intertwined, but functionally distinct, neural representations of the human face and body. |
doi_str_mv | 10.1016/j.neuroimage.2006.03.060 |
format | article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_68716127</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S1053811906002412</els_id><sourcerecordid>68716127</sourcerecordid><originalsourceid>FETCH-LOGICAL-c521t-105b6733bdcafb0778f139f794b30c22299d10ac75557bf0a984b7d86fd43c363</originalsourceid><addsrcrecordid>eNqFkMFq3DAQhkVpaNK0r1AEhd7sjqy1ZB3TkLYJgV6Ss5ClcaPFlraSvJC3j7a7EOilJ83AN_pnPkIog5YBE1-3bcA1Rb-Y39h2AKIF3oKAN-SCgeob1cvu7aHueTMwps7J-5y3AKDYZnhHzpmQPQiuLsjdVaC4x1CahLMp6Ogultp6M1Mbl10MtaEZQ_bF75GWSP-mZhonWp6QPq2LCXSM7vkDOZvMnPHj6b0kj99vHq5_Nve_ftxeX903tu9YaepSo5Ccj86aaQQph4lxNUm1GTnYruuUcgyMlX3fy3ECo4bNKN0gJrfhlgt-Sb4c_92l-GfFXPTis8V5NgHjmrUYJBOskxX8_A-4jWsKdTfN6vkSGGO8UsORsinmnHDSu1RPTM-agT7Y1lv9alsfbGvgutquo59OAeu4oHsdPOmtwLcjgNXH3mPS2XoMFp1PaIt20f8_5QXcNZT5</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1506701113</pqid></control><display><type>article</type><title>An event-related potential component sensitive to images of the human body</title><source>ScienceDirect Freedom Collection 2022-2024</source><creator>Thierry, Guillaume ; Pegna, Alan J. ; Dodds, Chris ; Roberts, Mark ; Basan, Sébastien ; Downing, Paul</creator><creatorcontrib>Thierry, Guillaume ; Pegna, Alan J. ; Dodds, Chris ; Roberts, Mark ; Basan, Sébastien ; Downing, Paul</creatorcontrib><description>One of the critical functions of vision is to provide information about other individuals. Neuroimaging experiments examining the cortical regions that analyze the appearance of other people have found partially overlapping networks that respond selectively to human faces and bodies. In event-related potential (ERP) studies, faces systematically elicit a negative component peaking 170 ms after presentation — the N170. To characterize the electrophysiological response to human bodies, we compared the ERPs elicited by faces, bodies and various control stimuli. In Experiment 1, a comparison of ERPs elicited by faces, bodies, objects and places showed that pictures of the human body (without the head) elicit a negative component peaking at 190 ms (an N190). While broadly similar to the N170, the N190 differs in both spatial distribution and amplitude from the N1 components elicited by faces, objects and scenes and peaks significantly later than the N170. The difference between N190 and N170 was further supported using topographic analyses of ERPs and source localization techniques. A unique, stable map topography was found to characterize human bodies between 130 and 230 ms. In Experiment 2, we tested the four conditions from Experiment 1, as well as intact and scrambled silhouettes and stick figures of the human body. We found that intact silhouettes and stick figures elicited significantly greater N190 amplitudes than their scrambled counterparts. Thus, the N190 generalizes to some degree to schematic depictions of the human form. Overall, our findings are consistent with intertwined, but functionally distinct, neural representations of the human face and body.</description><identifier>ISSN: 1053-8119</identifier><identifier>EISSN: 1095-9572</identifier><identifier>DOI: 10.1016/j.neuroimage.2006.03.060</identifier><identifier>PMID: 16750639</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Adult ; Body ; Brain ; Brain Mapping ; Cerebral Cortex - physiology ; Contingent Negative Variation - physiology ; Discrimination Learning - physiology ; Dominance, Cerebral - physiology ; Electroencephalography ; ERP ; Evoked Potentials - physiology ; Experiments ; Face ; Female ; Human Body ; Humans ; Male ; N170 ; Occipital Lobe - physiology ; Parietal Lobe - physiology ; Pattern Recognition, Visual ; Reaction Time - physiology ; Signal Processing, Computer-Assisted ; Studies</subject><ispartof>NeuroImage (Orlando, Fla.), 2006-08, Vol.32 (2), p.871-879</ispartof><rights>2006 Elsevier Inc.</rights><rights>Copyright Elsevier Limited Aug 15, 2006</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c521t-105b6733bdcafb0778f139f794b30c22299d10ac75557bf0a984b7d86fd43c363</citedby><cites>FETCH-LOGICAL-c521t-105b6733bdcafb0778f139f794b30c22299d10ac75557bf0a984b7d86fd43c363</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/16750639$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Thierry, Guillaume</creatorcontrib><creatorcontrib>Pegna, Alan J.</creatorcontrib><creatorcontrib>Dodds, Chris</creatorcontrib><creatorcontrib>Roberts, Mark</creatorcontrib><creatorcontrib>Basan, Sébastien</creatorcontrib><creatorcontrib>Downing, Paul</creatorcontrib><title>An event-related potential component sensitive to images of the human body</title><title>NeuroImage (Orlando, Fla.)</title><addtitle>Neuroimage</addtitle><description>One of the critical functions of vision is to provide information about other individuals. Neuroimaging experiments examining the cortical regions that analyze the appearance of other people have found partially overlapping networks that respond selectively to human faces and bodies. In event-related potential (ERP) studies, faces systematically elicit a negative component peaking 170 ms after presentation — the N170. To characterize the electrophysiological response to human bodies, we compared the ERPs elicited by faces, bodies and various control stimuli. In Experiment 1, a comparison of ERPs elicited by faces, bodies, objects and places showed that pictures of the human body (without the head) elicit a negative component peaking at 190 ms (an N190). While broadly similar to the N170, the N190 differs in both spatial distribution and amplitude from the N1 components elicited by faces, objects and scenes and peaks significantly later than the N170. The difference between N190 and N170 was further supported using topographic analyses of ERPs and source localization techniques. A unique, stable map topography was found to characterize human bodies between 130 and 230 ms. In Experiment 2, we tested the four conditions from Experiment 1, as well as intact and scrambled silhouettes and stick figures of the human body. We found that intact silhouettes and stick figures elicited significantly greater N190 amplitudes than their scrambled counterparts. Thus, the N190 generalizes to some degree to schematic depictions of the human form. Overall, our findings are consistent with intertwined, but functionally distinct, neural representations of the human face and body.</description><subject>Adult</subject><subject>Body</subject><subject>Brain</subject><subject>Brain Mapping</subject><subject>Cerebral Cortex - physiology</subject><subject>Contingent Negative Variation - physiology</subject><subject>Discrimination Learning - physiology</subject><subject>Dominance, Cerebral - physiology</subject><subject>Electroencephalography</subject><subject>ERP</subject><subject>Evoked Potentials - physiology</subject><subject>Experiments</subject><subject>Face</subject><subject>Female</subject><subject>Human Body</subject><subject>Humans</subject><subject>Male</subject><subject>N170</subject><subject>Occipital Lobe - physiology</subject><subject>Parietal Lobe - physiology</subject><subject>Pattern Recognition, Visual</subject><subject>Reaction Time - physiology</subject><subject>Signal Processing, Computer-Assisted</subject><subject>Studies</subject><issn>1053-8119</issn><issn>1095-9572</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2006</creationdate><recordtype>article</recordtype><recordid>eNqFkMFq3DAQhkVpaNK0r1AEhd7sjqy1ZB3TkLYJgV6Ss5ClcaPFlraSvJC3j7a7EOilJ83AN_pnPkIog5YBE1-3bcA1Rb-Y39h2AKIF3oKAN-SCgeob1cvu7aHueTMwps7J-5y3AKDYZnhHzpmQPQiuLsjdVaC4x1CahLMp6Ogultp6M1Mbl10MtaEZQ_bF75GWSP-mZhonWp6QPq2LCXSM7vkDOZvMnPHj6b0kj99vHq5_Nve_ftxeX903tu9YaepSo5Ccj86aaQQph4lxNUm1GTnYruuUcgyMlX3fy3ECo4bNKN0gJrfhlgt-Sb4c_92l-GfFXPTis8V5NgHjmrUYJBOskxX8_A-4jWsKdTfN6vkSGGO8UsORsinmnHDSu1RPTM-agT7Y1lv9alsfbGvgutquo59OAeu4oHsdPOmtwLcjgNXH3mPS2XoMFp1PaIt20f8_5QXcNZT5</recordid><startdate>20060815</startdate><enddate>20060815</enddate><creator>Thierry, Guillaume</creator><creator>Pegna, Alan J.</creator><creator>Dodds, Chris</creator><creator>Roberts, Mark</creator><creator>Basan, Sébastien</creator><creator>Downing, Paul</creator><general>Elsevier Inc</general><general>Elsevier Limited</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M7P</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>RC3</scope><scope>7X8</scope></search><sort><creationdate>20060815</creationdate><title>An event-related potential component sensitive to images of the human body</title><author>Thierry, Guillaume ; Pegna, Alan J. ; Dodds, Chris ; Roberts, Mark ; Basan, Sébastien ; Downing, Paul</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c521t-105b6733bdcafb0778f139f794b30c22299d10ac75557bf0a984b7d86fd43c363</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Adult</topic><topic>Body</topic><topic>Brain</topic><topic>Brain Mapping</topic><topic>Cerebral Cortex - physiology</topic><topic>Contingent Negative Variation - physiology</topic><topic>Discrimination Learning - physiology</topic><topic>Dominance, Cerebral - physiology</topic><topic>Electroencephalography</topic><topic>ERP</topic><topic>Evoked Potentials - physiology</topic><topic>Experiments</topic><topic>Face</topic><topic>Female</topic><topic>Human Body</topic><topic>Humans</topic><topic>Male</topic><topic>N170</topic><topic>Occipital Lobe - physiology</topic><topic>Parietal Lobe - physiology</topic><topic>Pattern Recognition, Visual</topic><topic>Reaction Time - physiology</topic><topic>Signal Processing, Computer-Assisted</topic><topic>Studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Thierry, Guillaume</creatorcontrib><creatorcontrib>Pegna, Alan J.</creatorcontrib><creatorcontrib>Dodds, Chris</creatorcontrib><creatorcontrib>Roberts, Mark</creatorcontrib><creatorcontrib>Basan, Sébastien</creatorcontrib><creatorcontrib>Downing, Paul</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Neurosciences Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biological Sciences</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Psychology Database</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>NeuroImage (Orlando, Fla.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Thierry, Guillaume</au><au>Pegna, Alan J.</au><au>Dodds, Chris</au><au>Roberts, Mark</au><au>Basan, Sébastien</au><au>Downing, Paul</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An event-related potential component sensitive to images of the human body</atitle><jtitle>NeuroImage (Orlando, Fla.)</jtitle><addtitle>Neuroimage</addtitle><date>2006-08-15</date><risdate>2006</risdate><volume>32</volume><issue>2</issue><spage>871</spage><epage>879</epage><pages>871-879</pages><issn>1053-8119</issn><eissn>1095-9572</eissn><abstract>One of the critical functions of vision is to provide information about other individuals. Neuroimaging experiments examining the cortical regions that analyze the appearance of other people have found partially overlapping networks that respond selectively to human faces and bodies. In event-related potential (ERP) studies, faces systematically elicit a negative component peaking 170 ms after presentation — the N170. To characterize the electrophysiological response to human bodies, we compared the ERPs elicited by faces, bodies and various control stimuli. In Experiment 1, a comparison of ERPs elicited by faces, bodies, objects and places showed that pictures of the human body (without the head) elicit a negative component peaking at 190 ms (an N190). While broadly similar to the N170, the N190 differs in both spatial distribution and amplitude from the N1 components elicited by faces, objects and scenes and peaks significantly later than the N170. The difference between N190 and N170 was further supported using topographic analyses of ERPs and source localization techniques. A unique, stable map topography was found to characterize human bodies between 130 and 230 ms. In Experiment 2, we tested the four conditions from Experiment 1, as well as intact and scrambled silhouettes and stick figures of the human body. We found that intact silhouettes and stick figures elicited significantly greater N190 amplitudes than their scrambled counterparts. Thus, the N190 generalizes to some degree to schematic depictions of the human form. Overall, our findings are consistent with intertwined, but functionally distinct, neural representations of the human face and body.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>16750639</pmid><doi>10.1016/j.neuroimage.2006.03.060</doi><tpages>9</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1053-8119 |
ispartof | NeuroImage (Orlando, Fla.), 2006-08, Vol.32 (2), p.871-879 |
issn | 1053-8119 1095-9572 |
language | eng |
recordid | cdi_proquest_miscellaneous_68716127 |
source | ScienceDirect Freedom Collection 2022-2024 |
subjects | Adult Body Brain Brain Mapping Cerebral Cortex - physiology Contingent Negative Variation - physiology Discrimination Learning - physiology Dominance, Cerebral - physiology Electroencephalography ERP Evoked Potentials - physiology Experiments Face Female Human Body Humans Male N170 Occipital Lobe - physiology Parietal Lobe - physiology Pattern Recognition, Visual Reaction Time - physiology Signal Processing, Computer-Assisted Studies |
title | An event-related potential component sensitive to images of the human body |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-22T10%3A29%3A05IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=An%20event-related%20potential%20component%20sensitive%20to%20images%20of%20the%20human%20body&rft.jtitle=NeuroImage%20(Orlando,%20Fla.)&rft.au=Thierry,%20Guillaume&rft.date=2006-08-15&rft.volume=32&rft.issue=2&rft.spage=871&rft.epage=879&rft.pages=871-879&rft.issn=1053-8119&rft.eissn=1095-9572&rft_id=info:doi/10.1016/j.neuroimage.2006.03.060&rft_dat=%3Cproquest_cross%3E68716127%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c521t-105b6733bdcafb0778f139f794b30c22299d10ac75557bf0a984b7d86fd43c363%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1506701113&rft_id=info:pmid/16750639&rfr_iscdi=true |