Electrophysiological correlates of listening effort: neurodynamical modeling and measurement
Identifieur interne : 000034 ( Pmc/Corpus ); précédent : 000033; suivant : 000035Electrophysiological correlates of listening effort: neurodynamical modeling and measurement
Auteurs : Daniel J. Strauss ; Farah I. Corona-Strauss ; Carlos Trenado ; Corinna Bernarding ; Wolfgang Reith ; Matthias Latzel ; Matthias FroehlichSource :
- 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
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PMC:2866367Le document en format XML
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<series><title level="j">Cognitive Neurodynamics</title>
<idno type="ISSN">1871-4080</idno>
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<front><div type="abstract" xml:lang="en"><p>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.</p>
</div>
</front>
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<pmc article-type="research-article"><pmc-comment>The publisher of this article does not allow downloading of the full text in XML form.</pmc-comment>
<front><journal-meta><journal-id journal-id-type="nlm-ta">Cogn Neurodyn</journal-id>
<journal-title-group><journal-title>Cognitive Neurodynamics</journal-title>
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<issn pub-type="ppub">1871-4080</issn>
<issn pub-type="epub">1871-4099</issn>
<publisher><publisher-name>Springer Netherlands</publisher-name>
<publisher-loc>Dordrecht</publisher-loc>
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<article-id pub-id-type="publisher-id">9111</article-id>
<article-id pub-id-type="doi">10.1007/s11571-010-9111-3</article-id>
<article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject>
</subj-group>
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<title-group><article-title>Electrophysiological correlates of listening effort: neurodynamical modeling and measurement</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" corresp="yes"><name><surname>Strauss</surname>
<given-names>Daniel J.</given-names>
</name>
<address><phone>+49-6841-1624090</phone>
<fax>+49-6841-1624092</fax>
<email>strauss@cdb-unit.de</email>
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<xref ref-type="aff" rid="Aff1">1</xref>
<xref ref-type="aff" rid="Aff4">4</xref>
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<contrib contrib-type="author"><name><surname>Corona-Strauss</surname>
<given-names>Farah I.</given-names>
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<xref ref-type="aff" rid="Aff1">1</xref>
<xref ref-type="aff" rid="Aff4">4</xref>
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<contrib contrib-type="author"><name><surname>Trenado</surname>
<given-names>Carlos</given-names>
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<xref ref-type="aff" rid="Aff1">1</xref>
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<contrib contrib-type="author"><name><surname>Bernarding</surname>
<given-names>Corinna</given-names>
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<xref ref-type="aff" rid="Aff1">1</xref>
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<contrib contrib-type="author"><name><surname>Reith</surname>
<given-names>Wolfgang</given-names>
</name>
<xref ref-type="aff" rid="Aff2">2</xref>
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<contrib contrib-type="author"><name><surname>Latzel</surname>
<given-names>Matthias</given-names>
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<xref ref-type="aff" rid="Aff3">3</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Froehlich</surname>
<given-names>Matthias</given-names>
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<xref ref-type="aff" rid="Aff3">3</xref>
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<aff id="Aff1"><label>1</label>
Computational Diagnostics and Biocybernetics Unit, Saarland University Hospital, Building 90.5, 66421 Homburg, Germany</aff>
<aff id="Aff2"><label>2</label>
Clinic of Diagnostic and Interventional Neuroradiology, Saarland University Hospital, Homburg, Germany</aff>
<aff id="Aff3"><label>3</label>
Siemens Audiologische Technik GmbH, Erlangen, Germany</aff>
<aff id="Aff4"><label>4</label>
Key Numerics—Medical Engineering, Saarbruecken, Germany</aff>
</contrib-group>
<pub-date pub-type="epub"><day>27</day>
<month>4</month>
<year>2010</year>
</pub-date>
<pub-date pub-type="ppub"><month>6</month>
<year>2010</year>
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<volume>4</volume>
<issue>2</issue>
<fpage>119</fpage>
<lpage>131</lpage>
<history><date date-type="received"><day>27</day>
<month>6</month>
<year>2009</year>
</date>
<date date-type="rev-recd"><day>19</day>
<month>1</month>
<year>2010</year>
</date>
<date date-type="accepted"><day>21</day>
<month>1</month>
<year>2010</year>
</date>
</history>
<permissions><copyright-statement>© Springer Science+Business Media B.V. 2010</copyright-statement>
</permissions>
<abstract><p>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.</p>
</abstract>
<kwd-group><title>Keywords</title>
<kwd>Listening effort</kwd>
<kwd>Modeling</kwd>
<kwd>Auditory evoked potentials</kwd>
<kwd>Wavelets</kwd>
<kwd>Gabor frames</kwd>
<kwd>Phase synchronization</kwd>
<kwd>Single sweeps</kwd>
</kwd-group>
<custom-meta-group><custom-meta><meta-name>issue-copyright-statement</meta-name>
<meta-value>© Springer Science+Business Media B.V. 2010</meta-value>
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