{"id":{"repo_id":"vt","oai_identifier":"oai:vtechworks.lib.vt.edu:10919/42671"},"canonical_url":"https://search.dev.ndltd.org/etd/vt/oai:vtechworks.lib.vt.edu:10919/42671","repository":{"repo_id":"vt","name":"Virginia Tech","base_url":"https://vtechworks.lib.vt.edu/oai/request"},"display":{"title":"The Behavioral and Neural Mechanisms of Social and Non-social Risky Decision-Making","abstract":"Decisions made under risk have been primarily studied within economic contexts (Platt & Huettel, 2008). This has led to the development of sound methods and models for studying risky choice behavior (Rangel, Camerer & Montague, 2008). In particular, these models are helpful for estimating how much risk an individual is willing to tolerate. However, there may be a limit in the extent to which we can generalize these estimations, in that economic models do not take into account the underlying social preferences that often guide decision makers (Fehr & Camerer, 2007; Fehr & Schmidt, 2004). This suggests that an individual's propensity for risk may be different depending on social or non-social information present within the environment (Bohnet, Greig, Herrmann & Zeckhauser, 2008). The present study aimed to: (i) assess how risk preferences may differ across social and non-social contexts; (ii) identify common and distinct neural correlates of social and non-social risk; and (iii) determine neural characteristics associated with individual sensitivities to social and non-social risk. Subjects (N=30) played an adaptation of the Trust Game while their blood-oxygen-level-dependent response was monitored using functional magnetic resonance imaging. Differences in risk preferences across social and non-social conditions as well as neuroimaging correlates of social and non-social risk will be discussed.","abstract_html":"Decisions made under risk have been primarily studied within economic contexts (Platt & Huettel, 2008). This has led to the development of sound methods and models for studying risky choice behavior (Rangel, Camerer & Montague, 2008). In particular, these models are helpful for estimating how much risk an individual is willing to tolerate. However, there may be a limit in the extent to which we can generalize these estimations, in that economic models do not take into account the underlying social preferences that often guide decision makers (Fehr & Camerer, 2007; Fehr & Schmidt, 2004). This suggests that an individual's propensity for risk may be different depending on social or non-social information present within the environment (Bohnet, Greig, Herrmann & Zeckhauser, 2008). The present study aimed to: (i) assess how risk preferences may differ across social and non-social contexts; (ii) identify common and distinct neural correlates of social and non-social risk; and (iii) determine neural characteristics associated with individual sensitivities to social and non-social risk. Subjects (N=30) played an adaptation of the Trust Game while their blood-oxygen-level-dependent response was monitored using functional magnetic resonance imaging. Differences in risk preferences across social and non-social conditions as well as neuroimaging correlates of social and non-social risk will be discussed.","abstract_has_math":false,"creators":["Lauharatanahirun, Nina"],"institution":"Virginia Tech","degree_name":"Master of Science","degree_level":"masters","degree_discipline":"Psychology","degree_department":"Psychology","school":null,"contributors":[],"advisors":[],"committee_chairs":["Casas, Brooks"],"committee_members":["Chiu, Pearl H.","Deater-Deckard, Kirby"],"year":2013,"date_issued":"2013-05-06","date_published":"2013-05-06","updated_at":"2026-07-22T22:19:00Z","subjects":["fMRI","social risk","individual differences","risk","social neuroscience","trust"],"languages":["en"],"rights":["In Copyright"],"rights_urls":["http://rightsstatements.org/vocab/InC/1.0/"],"identifier_entries":[{"key":"dc:identifier.other","label":"Dc Identifier Other","values":["etd-05152013-223854"],"render_values":[{"text":"etd-05152013-223854","href":null,"code":true}]}]},"links":{"outbound_url":"http://hdl.handle.net/10919/42671","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.committeechair","label":"Committee Chair","values":["Casas, Brooks"]},{"key":"dc:contributor.committeemember","label":"Committee Member","values":["Chiu, Pearl H.","Deater-Deckard, Kirby"]},{"key":"dc:contributor.department","label":"Department","values":["Psychology"]},{"key":"dc:creator","label":"Author","values":["Lauharatanahirun, Nina"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2014-03-14T21:36:13Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2014-03-14T21:36:13Z","2013-06-14"]},{"key":"dc:date.issued","label":"Date","values":["2013-05-06"]},{"key":"dc:publisher","label":"Institution","values":["Virginia Tech"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"dc:type.dcmitype","label":"Dc Type Dcmitype","values":["Text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Psychology"]},{"key":"thesis:degree_level","label":"Degree Level","values":["masters"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["Virginia Polytechnic Institute and State University"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["fMRI","social risk","individual differences","risk","social neuroscience","trust"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["In Copyright"]},{"key":"dc:rights.uri","label":"Rights URI","values":["http://rightsstatements.org/vocab/InC/1.0/"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.other","label":"Dc Identifier Other","values":["etd-05152013-223854"]},{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/10919/42671"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Decisions made under risk have been primarily studied within economic contexts (Platt & Huettel, 2008). This has led to the development of sound methods and models for studying risky choice behavior (Rangel, Camerer & Montague, 2008). In particular, these models are helpful for estimating how much risk an individual is willing to tolerate. However, there may be a limit in the extent to which we can generalize these estimations, in that economic models do not take into account the underlying social preferences that often guide decision makers (Fehr & Camerer, 2007; Fehr & Schmidt, 2004). This suggests that an individual's propensity for risk may be different depending on social or non-social information present within the environment (Bohnet, Greig, Herrmann & Zeckhauser, 2008). The present study aimed to: (i) assess how risk preferences may differ across social and non-social contexts; (ii) identify common and distinct neural correlates of social and non-social risk; and (iii) determine neural characteristics associated with individual sensitivities to social and non-social risk. Subjects (N=30) played an adaptation of the Trust Game while their blood-oxygen-level-dependent response was monitored using functional magnetic resonance imaging. Differences in risk preferences across social and non-social conditions as well as neuroimaging correlates of social and non-social risk will be discussed."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["Master of Science"]},{"key":"dc:format.mimetype","label":"Dc Format Mimetype","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["The Behavioral and Neural Mechanisms of Social and Non-social Risky Decision-Making"]}]}],"canonical_facts":{"dc:contributor.committeechair":["Casas, Brooks"],"dc:contributor.committeemember":["Chiu, Pearl H.","Deater-Deckard, Kirby"],"dc:contributor.department":["Psychology"],"dc:creator":["Lauharatanahirun, Nina"],"dc:date.accessioned":["2014-03-14T21:36:13Z"],"dc:date.available":["2014-03-14T21:36:13Z","2013-06-14"],"dc:date.issued":["2013-05-06"],"dc:description.abstract":["Decisions made under risk have been primarily studied within economic contexts (Platt & Huettel, 2008). This has led to the development of sound methods and models for studying risky choice behavior (Rangel, Camerer & Montague, 2008). In particular, these models are helpful for estimating how much risk an individual is willing to tolerate. However, there may be a limit in the extent to which we can generalize these estimations, in that economic models do not take into account the underlying social preferences that often guide decision makers (Fehr & Camerer, 2007; Fehr & Schmidt, 2004). This suggests that an individual's propensity for risk may be different depending on social or non-social information present within the environment (Bohnet, Greig, Herrmann & Zeckhauser, 2008). The present study aimed to: (i) assess how risk preferences may differ across social and non-social contexts; (ii) identify common and distinct neural correlates of social and non-social risk; and (iii) determine neural characteristics associated with individual sensitivities to social and non-social risk. Subjects (N=30) played an adaptation of the Trust Game while their blood-oxygen-level-dependent response was monitored using functional magnetic resonance imaging. Differences in risk preferences across social and non-social conditions as well as neuroimaging correlates of social and non-social risk will be discussed."],"dc:description.degree":["Master of Science"],"dc:format.mimetype":["application/pdf"],"dc:identifier.other":["etd-05152013-223854"],"dc:identifier.uri":["http://hdl.handle.net/10919/42671"],"dc:language.iso":["en"],"dc:publisher":["Virginia Tech"],"dc:rights":["In Copyright"],"dc:rights.uri":["http://rightsstatements.org/vocab/InC/1.0/"],"dc:subject":["fMRI","social risk","individual differences","risk","social neuroscience","trust"],"dc:title":["The Behavioral and Neural Mechanisms of Social and Non-social Risky Decision-Making"],"dc:type":["Thesis"],"dc:type.dcmitype":["Text"],"thesis:degree_discipline":["Psychology"],"thesis:degree_level":["masters"],"thesis:degree_name":["Master of Science"],"thesis:institution_name":["Virginia Polytechnic Institute and State University"]},"updated_at":"2026-07-22T22:19:00Z"}