Prediction Signatures in the Brain

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Maess, Burkhard
dc.contributor.author Mamashli, Fahimeh
dc.contributor.author Obleser, Jonas
dc.contributor.author Helle, Liisa
dc.contributor.author Friederici, Angela D.
dc.date.accessioned 2017-11-21T13:40:06Z
dc.date.available 2017-11-21T13:40:06Z
dc.date.issued 2016-11-15
dc.identifier.citation Maess , B , Mamashli , F , Obleser , J , Helle , L & Friederici , A D 2016 , ' Prediction Signatures in the Brain : Semantic Pre-Activation during Language Comprehension ' FRONTIERS IN HUMAN NEUROSCIENCE , vol 10 , 591 . DOI: 10.3389/fnhum.2016.00591 en
dc.identifier.issn 1662-5161
dc.identifier.other PURE UUID: f3e2af28-696e-4dca-960f-35e4e56639c5
dc.identifier.other PURE ITEMURL: https://research.aalto.fi/en/publications/prediction-signatures-in-the-brain(f3e2af28-696e-4dca-960f-35e4e56639c5).html
dc.identifier.other PURE FILEURL: https://research.aalto.fi/files/16044686/fnhum_10_00591.pdf
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/28886
dc.description.abstract There is broad agreement that context-based predictions facilitate lexical-semantic processing. A robust index of semantic prediction during language comprehension is an evoked response, known as the N400, whose amplitude is modulated as a function of semantic context. However, the underlying neural mechanisms that utilize relations of the prior context and the embedded word within it are largely unknown. We measured magnetoencephalography (MEG) data while participants were listening to simple German sentences in which the verbs were either highly predictive for the occurrence of a particular noun (i.e., provided context) or not. The identical set of nouns was presented in both conditions. Hence, differences for the evoked responses of the nouns can only be due to differences in the earlier context. We observed a reduction of the N400 response for highly predicted nouns. Interestingly, the opposite pattern was observed for the preceding verbs: highly predictive (that is more informative) verbs yielded stronger neural magnitude compared to less predictive verbs. A negative correlation between the N400 effect of the verb and that of the noun was found in a distributed brain network, indicating an integral relation between the predictive power of the verb and the processing of the subsequent noun. This network consisted of left hemispheric superior and middle temporal areas and a subcortical area; the parahippocampus. Enhanced activity for highly predictive relative to less predictive verbs, likely reflects establishing semantic features associated with the expected nouns, that is a pre-activation of the expected nouns. en
dc.format.extent 11
dc.format.mimetype application/pdf
dc.language.iso en en
dc.relation.ispartofseries FRONTIERS IN HUMAN NEUROSCIENCE en
dc.relation.ispartofseries Volume 10 en
dc.rights openAccess en
dc.subject.other 3112 Neurosciences en
dc.title Prediction Signatures in the Brain en
dc.type A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä fi
dc.description.version Peer reviewed en
dc.contributor.department Max-Planck-Institut fur Kognitions- und Neurowissenschaften
dc.contributor.department Department of Neuroscience and Biomedical Engineering
dc.subject.keyword semantics
dc.subject.keyword prediction
dc.subject.keyword language
dc.subject.keyword MEG
dc.subject.keyword N400
dc.subject.keyword EVENT-RELATED POTENTIALS
dc.subject.keyword TOP-DOWN
dc.subject.keyword WORD RECOGNITION
dc.subject.keyword TIME-COURSE
dc.subject.keyword EEG-DATA
dc.subject.keyword SENTENCE COMPREHENSION
dc.subject.keyword MENTAL REPRESENTATION
dc.subject.keyword LEXICAL PREACTIVATION
dc.subject.keyword PREFRONTAL CORTEX
dc.subject.keyword SPEECH-PERCEPTION
dc.subject.keyword 3112 Neurosciences
dc.identifier.urn URN:NBN:fi:aalto-201711217707
dc.identifier.doi 10.3389/fnhum.2016.00591
dc.type.version publishedVersion


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