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2011-12-01Buch DOI: 10.18452/4373
Risk Patterns and Correlated Brain Activities
dc.contributor.authorMyšičková, Alena
dc.contributor.authorSong, Song
dc.contributor.authorMajer, Piotr
dc.contributor.authorMohr, Peter N.C.
dc.contributor.authorHeekeren, Hauke R.
dc.contributor.authorHärdle, Wolfgang Karl
dc.date.accessioned2017-06-16T00:33:02Z
dc.date.available2017-06-16T00:33:02Z
dc.date.created2011-12-08
dc.date.issued2011-12-01
dc.date.submitted2011-12-01
dc.identifier.issn1860-5664
dc.identifier.urihttp://edoc.hu-berlin.de/18452/5025
dc.description.abstractDecision making usually involves uncertainty and risk. Understanding which parts of the human brain are activated during decisions under risk and which neural processes underly (risky) investment decisions are important goals in neuroeconomics. Here, we reanalyze functional magnetic resonance imaging (fMRI) data on 17 subjects which were exposed to an investment decision task from Mohr et al. (2010b). We obtain a time series of three-dimensional images of the blood-oxygen-level dependent (BOLD) fMRI signals. Our goal is to capture the dynamic behavior of specific brain regions of all subjects in this high-dimensional time series data, by a flexible factor approach resulting in a low dimensional representation. We apply a panel version of the dynamic semiparametric factor model (DSFM) presented in Park et al. (2009) and identify task-related activations in space and dynamics in time. Further, we classify the risk attitudes of all subjects based on the estimated lowdimensional time series. Our classification analysis successfully confirms the estimated risk attitudes derived directly from subjects' decision behavior.eng
dc.language.isoeng
dc.publisherHumboldt-Universität zu Berlin, Wirtschaftswissenschaftliche Fakultät
dc.subjectriskeng
dc.subjectfMRIeng
dc.subjectsemiparametric modeleng
dc.subjectdecision makingeng
dc.subjectrisk attitudeeng
dc.subjectmedial orbifrontal cortexeng
dc.subjectfactor structureeng
dc.subjectSVMeng
dc.subject.ddc330 Wirtschaft
dc.titleRisk Patterns and Correlated Brain Activities
dc.typebook
dc.subtitleMultidimensional statistical analysis of fMRI data with application to risk patterns
dc.identifier.urnurn:nbn:de:kobv:11-100197073
dc.identifier.doihttp://dx.doi.org/10.18452/4373
local.edoc.container-titleSonderforschungsbereich 649: Ökonomisches Risiko
local.edoc.pages39
local.edoc.type-nameBuch
local.edoc.container-typeseries
local.edoc.container-type-nameSchriftenreihe
local.edoc.container-volume2011
local.edoc.container-issue85
local.edoc.container-year2011
local.edoc.container-erstkatid2195055-6

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