Electrophysiological correlates of listening effort: neurodynamical modeling and measurement
Identifieur interne : 000387 ( Main/Exploration ); précédent : 000386; suivant : 000388Electrophysiological correlates of listening effort: neurodynamical modeling and measurement
Auteurs : Daniel J. Strauss [Allemagne] ; Farah I. Corona-Strauss [Allemagne] ; Carlos Trenado [Allemagne] ; Corinna Bernarding [Allemagne] ; Wolfgang Reith [Allemagne] ; Matthias Latzel [Allemagne] ; Matthias Froehlich [Allemagne]Source :
- Cognitive Neurodynamics [ 1871-4080 ] ; 2010.
Abstract
An increased listing effort represents a major problem in humans with hearing impairment. Neurodiagnostic methods for an objective listening effort estimation might support hearing instrument fitting procedures. However the cognitive neurodynamics of listening effort is far from being understood and its neural correlates have not been identified yet. In this paper we analyze the cognitive neurodynamics of listening effort by using methods of forward neurophysical modeling and time-scale electroencephalographic neurodiagnostics. In particular, we present a forward neurophysical model for auditory late responses (ALRs) as large-scale listening effort correlates. Here endogenously driven top–down projections related to listening effort are mapped to corticothalamic feedback pathways which were analyzed for the selective attention neurodynamics before. We show that this model represents well the time-scale phase stability analysis of experimental electroencephalographic data from auditory discrimination paradigms. It is concluded that the proposed neurophysical and neuropsychological framework is appropriate for the analysis of listening effort and might help to develop objective electroencephalographic methods for its estimation in future.
Url:
DOI: 10.1007/s11571-010-9111-3
PubMed: 21629585
PubMed Central: 2866367
Affiliations:
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Strauss</name><affiliation wicri:level="1"><nlm:aff id="Aff1">Computational Diagnostics and Biocybernetics Unit, Saarland University Hospital, Building 90.5, 66421 Homburg, Germany</nlm:aff><country xml:lang="fr">Allemagne</country><wicri:regionArea>Computational Diagnostics and Biocybernetics Unit, Saarland University Hospital, Building 90.5, 66421 Homburg</wicri:regionArea><wicri:noRegion>66421 Homburg</wicri:noRegion><wicri:noRegion>66421 Homburg</wicri:noRegion><wicri:noRegion>66421 Homburg</wicri:noRegion></affiliation><affiliation wicri:level="1"><nlm:aff id="Aff4">Key Numerics—Medical Engineering, Saarbruecken, Germany</nlm:aff><country xml:lang="fr">Allemagne</country><wicri:regionArea>Key Numerics—Medical Engineering, Saarbruecken</wicri:regionArea><wicri:noRegion>Saarbruecken</wicri:noRegion><wicri:noRegion>Saarbruecken</wicri:noRegion><wicri:noRegion>Saarbruecken</wicri:noRegion></affiliation></author><author><name sortKey="Corona Strauss, Farah I" sort="Corona Strauss, Farah I" uniqKey="Corona Strauss F" first="Farah I." last="Corona-Strauss">Farah I. 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Neurodiagnostic methods for an objective listening effort estimation might support hearing instrument fitting procedures. However the cognitive neurodynamics of listening effort is far from being understood and its neural correlates have not been identified yet. In this paper we analyze the cognitive neurodynamics of listening effort by using methods of forward neurophysical modeling and time-scale electroencephalographic neurodiagnostics. In particular, we present a forward neurophysical model for auditory late responses (ALRs) as large-scale listening effort correlates. Here endogenously driven top–down projections related to listening effort are mapped to corticothalamic feedback pathways which were analyzed for the selective attention neurodynamics before. We show that this model represents well the time-scale phase stability analysis of experimental electroencephalographic data from auditory discrimination paradigms. It is concluded that the proposed neurophysical and neuropsychological framework is appropriate for the analysis of listening effort and might help to develop objective electroencephalographic methods for its estimation in future.</p></div></front></TEI><affiliations><list><country><li>Allemagne</li></country><region><li>Bavière</li><li>District de Moyenne-Franconie</li></region><settlement><li>Erlangen</li></settlement></list><tree><country name="Allemagne"><noRegion><name sortKey="Strauss, Daniel J" sort="Strauss, Daniel J" uniqKey="Strauss D" first="Daniel J." last="Strauss">Daniel J. Strauss</name></noRegion><name sortKey="Bernarding, Corinna" sort="Bernarding, Corinna" uniqKey="Bernarding C" first="Corinna" last="Bernarding">Corinna Bernarding</name><name sortKey="Corona Strauss, Farah I" sort="Corona Strauss, Farah I" uniqKey="Corona Strauss F" first="Farah I." last="Corona-Strauss">Farah I. Corona-Strauss</name><name sortKey="Corona Strauss, Farah I" sort="Corona Strauss, Farah I" uniqKey="Corona Strauss F" first="Farah I." last="Corona-Strauss">Farah I. Corona-Strauss</name><name sortKey="Froehlich, Matthias" sort="Froehlich, Matthias" uniqKey="Froehlich M" first="Matthias" last="Froehlich">Matthias Froehlich</name><name sortKey="Latzel, Matthias" sort="Latzel, Matthias" uniqKey="Latzel M" first="Matthias" last="Latzel">Matthias Latzel</name><name sortKey="Reith, Wolfgang" sort="Reith, Wolfgang" uniqKey="Reith W" first="Wolfgang" last="Reith">Wolfgang Reith</name><name sortKey="Strauss, Daniel J" sort="Strauss, Daniel J" uniqKey="Strauss D" first="Daniel J." last="Strauss">Daniel J. Strauss</name><name sortKey="Trenado, Carlos" sort="Trenado, Carlos" uniqKey="Trenado C" first="Carlos" last="Trenado">Carlos Trenado</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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