Audio-Tactile Integration and the Influence of Musical Training

Perception of our environment is a multisensory experience; information from different sensory systems like the auditory, visual and tactile is constantly integrated. Complex tasks that require high temporal and spatial precision of multisensory integration put strong demands on the underlying netwo...

Verfasser: Kuchenbuch, Anja
Paraskevopoulos, Evangelos
Herholz, Sibylle C.
Pantev, Christo
FB/Einrichtung:FB 05: Medizinische Fakultät
Dokumenttypen:Artikel
Medientypen:Text
Erscheinungsdatum:2014
Publikation in MIAMI:19.02.2014
Datum der letzten Änderung:08.09.2022
Angaben zur Ausgabe:[Electronic ed.]
Quelle:PLoS ONE 9 (2014) 1, e85743
Fachgebiet (DDC):610: Medizin und Gesundheit
Lizenz:CC BY 4.0
Sprache:English
Anmerkungen:Finanziert durch den Open-Access-Publikationsfonds 2013/2014 der Deutschen Forschungsgemeinschaft (DFG) und der Westfälischen Wilhelms-Universität Münster (WWU Münster).
Format:PDF-Dokument
URN:urn:nbn:de:hbz:6-44319492172
Weitere Identifikatoren:DOI: 10.1371/journal.pone.0085743
Permalink:https://nbn-resolving.de/urn:nbn:de:hbz:6-44319492172
Onlinezugriff:journal.pone.0085743.pdf

Perception of our environment is a multisensory experience; information from different sensory systems like the auditory, visual and tactile is constantly integrated. Complex tasks that require high temporal and spatial precision of multisensory integration put strong demands on the underlying networks but it is largely unknown how task experience shapes multisensory processing. Long-term musical training is an excellent model for brain plasticity because it shapes the human brain at functional and structural levels, affecting a network of brain areas. In the present study we used magnetoencephalography (MEG) to investigate how audio-tactile perception is integrated in the human brain and if musicians show enhancement of the corresponding activation compared to non-musicians. Using a paradigm that allowed the investigation of combined and separate auditory and tactile processing, we found a multisensory incongruency response, generated in frontal, cingulate and cerebellar regions, an auditory mismatch response generated mainly in the auditory cortex and a tactile mismatch response generated in frontal and cerebellar regions. The influence of musical training was seen in the audio-tactile as well as in the auditory condition, indicating enhanced higher-order processing in musicians, while the sources of the tactile MMN were not influenced by long-term musical training. Consistent with the predictive coding model, more basic, bottom-up sensory processing was relatively stable and less affected by expertise, whereas areas for top-down models of multisensory expectancies were modulated by training.