Publikation:

Changing facial affect recognition in schizophrenia : Effects of training on brain dynamics

Lade...
Vorschaubild

Dateien

Popova_0-265617.pdf
Popova_0-265617.pdfGröße: 961.05 KBDownloads: 751

Datum

2014

Herausgeber:innen

Kontakt

ISSN der Zeitschrift

Electronic ISSN

ISBN

Bibliografische Daten

Verlag

Schriftenreihe

Auflagebezeichnung

ArXiv-ID

Internationale Patentnummer

Angaben zur Forschungsförderung

Projekt

Übungsinduzierte cerebrale Reorganisation bei Schizophrenien
Open Access-Veröffentlichung
Open Access Gold
Core Facility der Universität Konstanz

Gesperrt bis

Titel in einer weiteren Sprache

Publikationstyp
Zeitschriftenartikel
Publikationsstatus
Published

Erschienen in

NeuroImage: Clinical. 2014, 6, pp. 156-165. Available under: doi: 10.1016/j.nicl.2014.08.026

Zusammenfassung

Deficits in social cognition including facial affect recognition and their detrimental effects on functional outcome are well established in schizophrenia. Structured training can have substantial effects on social cognitive measures including facial affect recognition. Elucidating training effects on cortical mechanisms involved in facial affect recognition may identify causes of dysfunctional facial affect recognition in schizophrenia and foster remediation strategies. In the present study, 57 schizophrenia patientswere randomly assigned to (a) computer-based facial affect training that focused on affect discrimination and working memory in 20 daily 1-hour sessions, (b) similarly intense, targeted cognitive training on auditory-verbal discrimination and working memory, or (c) treatment as usual. Neuromagnetic activity was measured before and after training during a dynamic facial affect recognition task (5 s videos showing human faces gradually changing from neutral to fear or to happy expressions). Effects on 10–13 Hz (alpha) power during the transition from neutral to emotional expressionswere assessed viaMEG based on previous findings that alpha power increase is related to facial affect recognition and is smaller in schizophrenia than in healthy subjects. Targeted affect training improved overt performance on the training tasks. Moreover, alpha power increase during the dynamic facial affect recognition task was larger after affect training than after treatment-as-usual, though similar to that after targeted perceptual–cognitive training, indicating somewhat nonspecific benefits. Alpha power modulationwas unrelated to general neuropsychological test performance, which improved in all groups. Results suggest that specific neural processes supporting facial affect recognition, evident in oscillatory phenomena, are modifiable. This should be considered when developing remediation strategies targeting social cognition in schizophrenia.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
150 Psychologie

Schlagwörter

MEG, Brain rhythms, Alpha oscillations, Schizophrenia, Facial affect, Cognitive training

Konferenz

Rezension
undefined / . - undefined, undefined

Forschungsvorhaben

Organisationseinheiten

Zeitschriftenheft

Verknüpfte Datensätze

Zitieren

ISO 690POPOVA, Petia, Tzvetan G. POPOV, Christian WIENBRUCH, Almut CAROLUS, Gregory A. MILLER, Brigitte ROCKSTROH, 2014. Changing facial affect recognition in schizophrenia : Effects of training on brain dynamics. In: NeuroImage: Clinical. 2014, 6, pp. 156-165. Available under: doi: 10.1016/j.nicl.2014.08.026
BibTex
@article{Popova2014Chang-30136,
  year={2014},
  doi={10.1016/j.nicl.2014.08.026},
  title={Changing facial affect recognition in schizophrenia : Effects of training on brain dynamics},
  volume={6},
  journal={NeuroImage: Clinical},
  pages={156--165},
  author={Popova, Petia and Popov, Tzvetan G. and Wienbruch, Christian and Carolus, Almut and Miller, Gregory A. and Rockstroh, Brigitte}
}
RDF
<rdf:RDF
    xmlns:dcterms="http://purl.org/dc/terms/"
    xmlns:dc="http://purl.org/dc/elements/1.1/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
    xmlns:bibo="http://purl.org/ontology/bibo/"
    xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
    xmlns:foaf="http://xmlns.com/foaf/0.1/"
    xmlns:void="http://rdfs.org/ns/void#"
    xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > 
  <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/30136">
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/30136/1/Popova_0-265617.pdf"/>
    <dcterms:rights rdf:resource="http://creativecommons.org/licenses/by-nc-nd/3.0/"/>
    <dc:rights>Attribution-NonCommercial-NoDerivs 3.0 Unported</dc:rights>
    <dcterms:abstract xml:lang="eng">Deficits in social cognition including facial affect recognition and their detrimental effects on functional outcome are well established in schizophrenia. Structured training can have substantial effects on social cognitive measures including facial affect recognition. Elucidating training effects on cortical mechanisms involved in facial affect recognition may identify causes of dysfunctional facial affect recognition in schizophrenia and foster remediation strategies. In the present study, 57 schizophrenia patientswere randomly assigned to (a) computer-based facial affect training that focused on affect discrimination and working memory in 20 daily 1-hour sessions, (b) similarly intense, targeted cognitive training on auditory-verbal discrimination and working memory, or (c) treatment as usual. Neuromagnetic activity was measured before and after training during a dynamic facial affect recognition task (5 s videos showing human faces gradually changing from neutral to fear or to happy expressions). Effects on 10–13 Hz (alpha) power during the transition from neutral to emotional expressionswere assessed viaMEG based on previous findings that alpha power increase is related to facial affect recognition and is smaller in schizophrenia than in healthy subjects. Targeted affect training improved overt performance on the training tasks. Moreover, alpha power increase during the dynamic facial affect recognition task was larger after affect training than after treatment-as-usual, though similar to that after targeted perceptual–cognitive training, indicating somewhat nonspecific benefits. Alpha power modulationwas unrelated to general neuropsychological test performance, which improved in all groups. Results suggest that specific neural processes supporting facial affect recognition, evident in oscillatory phenomena, are modifiable. This should be considered when developing remediation strategies targeting social cognition in schizophrenia.</dcterms:abstract>
    <dc:creator>Popov, Tzvetan G.</dc:creator>
    <dc:language>eng</dc:language>
    <dc:contributor>Popova, Petia</dc:contributor>
    <dcterms:issued>2014</dcterms:issued>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2015-03-02T18:46:42Z</dc:date>
    <dc:creator>Popova, Petia</dc:creator>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dc:creator>Miller, Gregory A.</dc:creator>
    <dc:creator>Carolus, Almut</dc:creator>
    <dc:contributor>Popov, Tzvetan G.</dc:contributor>
    <dcterms:title>Changing facial affect recognition in schizophrenia : Effects of training on brain dynamics</dcterms:title>
    <dc:contributor>Miller, Gregory A.</dc:contributor>
    <dc:contributor>Rockstroh, Brigitte</dc:contributor>
    <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/30136"/>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/30136/1/Popova_0-265617.pdf"/>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/43"/>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/43"/>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2015-03-02T18:46:42Z</dcterms:available>
    <dc:contributor>Carolus, Almut</dc:contributor>
    <dc:creator>Rockstroh, Brigitte</dc:creator>
    <dc:creator>Wienbruch, Christian</dc:creator>
    <dc:contributor>Wienbruch, Christian</dc:contributor>
  </rdf:Description>
</rdf:RDF>

Interner Vermerk

xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter

Kontakt
URL der Originalveröffentl.

Prüfdatum der URL

Prüfungsdatum der Dissertation

Finanzierungsart

Kommentar zur Publikation

Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Ja
Begutachtet
Diese Publikation teilen