{"id":{"repo_id":"aachen","oai_identifier":"oai:publications.rwth-aachen.de:50664"},"canonical_url":"https://search.dev.ndltd.org/etd/aachen/oai:publications.rwth-aachen.de:50664","repository":{"repo_id":"aachen","name":"RWTH Aachen University","base_url":"https://publications.rwth-aachen.de/oai2d"},"display":{"title":"Bildgebende Untersuchung zum Erlernen visuell dargebotener Artikulationsmuster","abstract":"INTRODUCTION: The influence of facial visual articulatory information on the process of speech perception is well-known. On the speech production side midsagittal visual articulatory information is helpful for learning and releraning to produce speech sounds, syllables, or words in speech therapy. In this fMRI-study the effect of learning midsagittal visual articulatory information on neural networks controlling speech production in healthy subjects was investigated. METHOD: The stimulus matrix consisted of 27 CVCV-syllables presented either visually (generated by a visual articulatory model) or acoustically. Sixteen healthy subjects were requested to produce the presented syllables aloud (overt speech) and silently without moving any muscle (covert speech) prior to and after a systematic training or learning procedure with the visual articulatory model. RESULTS: By contrasting the cortical activations for each condition prior to and after training we got reliable indications that the syllable production under visual stimulation prior to training involves the circuitry of imitation whereas after the training there are specific projections between higher-order visual cortical areas and the appropriate motor and phonemic representation of the speech item. Furthermore there is a first hint that training on midsagittal visual items even effects speech production under pure acoustic stimulation.DISCUSSION: The results of this study indicate that the processing of midsagittal visual articulatory items after training can be integrated in established neural networks for speech perception and production.","abstract_html":"INTRODUCTION: The influence of facial visual articulatory information on the process of speech perception is well-known. On the speech production side midsagittal visual articulatory information is helpful for learning and releraning to produce speech sounds, syllables, or words in speech therapy. In this fMRI-study the effect of learning midsagittal visual articulatory information on neural networks controlling speech production in healthy subjects was investigated. METHOD: The stimulus matrix consisted of 27 CVCV-syllables presented either visually (generated by a visual articulatory model) or acoustically. Sixteen healthy subjects were requested to produce the presented syllables aloud (overt speech) and silently without moving any muscle (covert speech) prior to and after a systematic training or learning procedure with the visual articulatory model. RESULTS: By contrasting the cortical activations for each condition prior to and after training we got reliable indications that the syllable production under visual stimulation prior to training involves the circuitry of imitation whereas after the training there are specific projections between higher-order visual cortical areas and the appropriate motor and phonemic representation of the speech item. Furthermore there is a first hint that training on midsagittal visual items even effects speech production under pure acoustic stimulation.DISCUSSION: The results of this study indicate that the processing of midsagittal visual articulatory items after training can be integrated in established neural networks for speech perception and production.","abstract_has_math":false,"creators":["Nüchter, Patricia"],"institution":"Publikationsserver der RWTH Aachen University","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["Kröger, Bernd J."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2009,"date_issued":"2009","date_published":"2009","updated_at":"2026-07-30T19:40:25Z","subjects":["info:eu-repo/classification/ddc/610","Funktionelle NMR-Tomographie","Sprachproduktion","Artikulation","Sprachwahrnehmung","Medizin","Artikulationsprozess","visuelle Artikulationsmuster","Artikulationsmodell","fMRI","speech production","speech perception","articulation","articulatory model"],"languages":["ger"],"rights":["info:eu-repo/semantics/openAccess"],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["https://publications.rwth-aachen.de/search?p=id:%22RWTH-CONV-113200%22"],"render_values":[{"text":"https://publications.rwth-aachen.de/search?p=id:%22RWTH-CONV-113200%22","href":"https://publications.rwth-aachen.de/search?p=id:%22RWTH-CONV-113200%22","code":true}]}]},"links":{"outbound_url":"https://publications.rwth-aachen.de/record/50664","outbound_label":"Repository record","outbound_source":"dc:identifier"},"source_record":{"url":"https://publications.rwth-aachen.de/oai2d?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Apublications.rwth-aachen.de%3A50664","prefix":"oai_dc"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Kröger, Bernd J."]},{"key":"dc:creator","label":"Author","values":["Nüchter, Patricia"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:coverage","label":"Dc Coverage","values":["DE"]},{"key":"dc:date","label":"Dc Date","values":["2009"]},{"key":"dc:publisher","label":"Institution","values":["Publikationsserver der RWTH Aachen University"]},{"key":"dc:relation","label":"Dc Relation","values":["info:eu-repo/semantics/altIdentifier/urn/urn:nbn:de:hbz:82-opus-26985"]},{"key":"dc:type","label":"Dc Type","values":["info:eu-repo/semantics/doctoralThesis","info:eu-repo/semantics/publishedVersion"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["info:eu-repo/classification/ddc/610","Funktionelle NMR-Tomographie","Sprachproduktion","Artikulation","Sprachwahrnehmung","Medizin","Artikulationsprozess","visuelle Artikulationsmuster","Artikulationsmodell","fMRI","speech production","speech perception","articulation","articulatory model"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["ger"]},{"key":"dc:rights","label":"Dc Rights","values":["info:eu-repo/semantics/openAccess"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://publications.rwth-aachen.de/record/50664","https://publications.rwth-aachen.de/search?p=id:%22RWTH-CONV-113200%22"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["INTRODUCTION: The influence of facial visual articulatory information on the process of speech perception is well-known. On the speech production side midsagittal visual articulatory information is helpful for learning and releraning to produce speech sounds, syllables, or words in speech therapy. In this fMRI-study the effect of learning midsagittal visual articulatory information on neural networks controlling speech production in healthy subjects was investigated. METHOD: The stimulus matrix consisted of 27 CVCV-syllables presented either visually (generated by a visual articulatory model) or acoustically. Sixteen healthy subjects were requested to produce the presented syllables aloud (overt speech) and silently without moving any muscle (covert speech) prior to and after a systematic training or learning procedure with the visual articulatory model. RESULTS: By contrasting the cortical activations for each condition prior to and after training we got reliable indications that the syllable production under visual stimulation prior to training involves the circuitry of imitation whereas after the training there are specific projections between higher-order visual cortical areas and the appropriate motor and phonemic representation of the speech item. Furthermore there is a first hint that training on midsagittal visual items even effects speech production under pure acoustic stimulation.DISCUSSION: The results of this study indicate that the processing of midsagittal visual articulatory items after training can be integrated in established neural networks for speech perception and production."]},{"key":"dc:source","label":"Dc Source","values":["Aachen : Publikationsserver der RWTH Aachen University 116 S. : Ill., graph. Darst. (2009). = Aachen, Techn. Hochsch., Diss., 2009"]},{"key":"dc:title","label":"Title","values":["Bildgebende Untersuchung zum Erlernen visuell dargebotener Artikulationsmuster"]}]}],"canonical_facts":{"dc:contributor":["Kröger, Bernd J."],"dc:coverage":["DE"],"dc:creator":["Nüchter, Patricia"],"dc:date":["2009"],"dc:description":["INTRODUCTION: The influence of facial visual articulatory information on the process of speech perception is well-known. On the speech production side midsagittal visual articulatory information is helpful for learning and releraning to produce speech sounds, syllables, or words in speech therapy. In this fMRI-study the effect of learning midsagittal visual articulatory information on neural networks controlling speech production in healthy subjects was investigated. METHOD: The stimulus matrix consisted of 27 CVCV-syllables presented either visually (generated by a visual articulatory model) or acoustically. Sixteen healthy subjects were requested to produce the presented syllables aloud (overt speech) and silently without moving any muscle (covert speech) prior to and after a systematic training or learning procedure with the visual articulatory model. RESULTS: By contrasting the cortical activations for each condition prior to and after training we got reliable indications that the syllable production under visual stimulation prior to training involves the circuitry of imitation whereas after the training there are specific projections between higher-order visual cortical areas and the appropriate motor and phonemic representation of the speech item. Furthermore there is a first hint that training on midsagittal visual items even effects speech production under pure acoustic stimulation.DISCUSSION: The results of this study indicate that the processing of midsagittal visual articulatory items after training can be integrated in established neural networks for speech perception and production."],"dc:identifier":["https://publications.rwth-aachen.de/record/50664","https://publications.rwth-aachen.de/search?p=id:%22RWTH-CONV-113200%22"],"dc:language":["ger"],"dc:publisher":["Publikationsserver der RWTH Aachen University"],"dc:relation":["info:eu-repo/semantics/altIdentifier/urn/urn:nbn:de:hbz:82-opus-26985"],"dc:rights":["info:eu-repo/semantics/openAccess"],"dc:source":["Aachen : Publikationsserver der RWTH Aachen University 116 S. : Ill., graph. Darst. (2009). = Aachen, Techn. Hochsch., Diss., 2009"],"dc:subject":["info:eu-repo/classification/ddc/610","Funktionelle NMR-Tomographie","Sprachproduktion","Artikulation","Sprachwahrnehmung","Medizin","Artikulationsprozess","visuelle Artikulationsmuster","Artikulationsmodell","fMRI","speech production","speech perception","articulation","articulatory model"],"dc:title":["Bildgebende Untersuchung zum Erlernen visuell dargebotener Artikulationsmuster"],"dc:type":["info:eu-repo/semantics/doctoralThesis","info:eu-repo/semantics/publishedVersion"]},"updated_at":"2026-07-30T19:40:25Z"}