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Τύπος: Άρθρο σε επιστημονικό περιοδικό
Τίτλος: Statistical learning of multisensory regularities is enhanced in musicians: an MEG study
Συγγραφέας: [EL] Παρασκευόπουλος, Ευάγγελος[EN] Paraskevopoulos, Evangelossemantics logo
[EN] Chalas, Nikolassemantics logo
[EL] Καρτσίδης, Παναγιώτης[EN] Kartsidis, Panagiotissemantics logo
[EN] Wollbrink, Andreassemantics logo
[EL] Μπαμίδης, Παναγιώτης[EN] Bamidis, Panagiotissemantics logo
Ημερομηνία: 03/04/2018
Περίληψη: The present study used magnetoencephalography (MEG) to identify the neural correlates of audiovisual statistical learning, while disentangling the differential contributions of uni- and multi-modal statistical mismatch responses in humans. The applied paradigm was based on a combination of a statistical learning paradigm and a multisensory oddball one, combining an audiovisual, an auditory and a visual stimulation stream, along with the corresponding deviances. Plasticity effects due to musical expertise were investigated by comparing the behavioral and MEG responses of musicians to non-musicians. The behavioral results indicated that the learning was successful for both musicians and non-musicians. The unimodal MEG responses are consistent with previous studies, revealing the contribution of Heschl's gyrus for the identification of auditory statistical mismatches and the contribution of medial temporal and visual association areas for the visual modality. The cortical network underlying audiovisual statistical learning was found to be partly common and partly distinct from the corresponding unimodal networks, comprising right temporal and left inferior frontal sources. Musicians showed enhanced activation in superior temporal and superior frontal gyrus. Connectivity and information processing flow amongst the sources comprising the cortical network of audiovisual statistical learning, as estimated by transfer entropy, was reorganized in musicians, indicating enhanced top-down processing. This neuroplastic effect showed a cross-modal stability between the auditory and audiovisual modalities.
Γλώσσα: Αγγλικά
Σελίδες: 11
DOI: 10.1016/j.neuroimage.2018.04.002.
ISSN: 1053-8119
Θεματική κατηγορία: [EL] Επιστήμες Υγείας[EN] Health Sciencessemantics logo
Λέξεις-κλειδιά: Multisensory learningMagnetoencephalographyStatistical learningMusic neurosciencePlasticity
Κάτοχος πνευματικών δικαιωμάτων: © 2018 Elsevier Inc. All rights reserved.
Ηλεκτρονική διεύθυνση του τεκμηρίου στον εκδότη: https://www.sciencedirect.com/science/article/abs/pii/S1053811918302908
Ηλεκτρονική διεύθυνση περιοδικού: https://www.sciencedirect.com/journal/neuroimage
Τίτλος πηγής δημοσίευσης: NeuroImage
Τόμος: 175
Σελίδες τεκμηρίου (στην πηγή): 150-160
Σημειώσεις: This work has been supported by a research fellowship from the Greek State Scholarships Foundation (IKY), from the act “Supporting postdoctoral researchers” from grants of the programme “Development of human resources, education and life-long training” with Priority Axes 6,8,9 and co-funded by the European Social Fund - ESF and the Greek State and internal grants of the Institute for Biomagnetism and Biosignalanalysis, University of Münster, Germany
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