<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:creator>James, Clara E.</dc:creator>
  <dc:creator>Oechslin, Mathias S.</dc:creator>
  <dc:creator>Michel, Christoph M.</dc:creator>
  <dc:creator>De Pretto, Michael</dc:creator>
  <dc:date>2017-11-07</dc:date>
  <dc:description xmlns:ns0="xml" ns0:lang="en">This original research focused on the effect of training intensity on cerebral and  behavioral processing of complex music using high-density event-related potential  (ERP) approaches. Recently we have been able to show progressive changes with  training in grey and white matter and higher order brain functioning using (f)MRI  ((functional) Magnetic Resonance Imaging), as well as changes in musical and  general cognitive functioning. The current study investigated the same population of  non-musicians, amateur pianists and expert pianists using spatio-temporal ERP  analysis, by means of microstate analysis, and ERP source imaging. The stimuli  consisted of complex musical compositions containing three levels of transgression of  musical syntax at closure that participants appraised. ERP waveforms, microstates  and underlying brain sources revealed gradual differences according to expertise in a  300-500 ms window after the onset of the terminal chords of the pieces. Within this  time-window, processing seemed to concern context-based memory updating,  indicated by a P3b-like component or microstate for which underlying sources were  localized in right middle temporal gyrus, anterior cingulate and right parahippocampal  areas. Given that the 3 expertise groups were carefully matched for demographic  factors, these results provide evidence of the progressive impact of training on brain  and behavior.</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>https://folia.unifr.ch/global/documents/306224</dc:identifier>
  <dc:identifier>https://folia.unifr.ch/documents/306224/files/pre_enm.pdf</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>info:eu-repo/semantics/altIdentifier/doi/10.3389/fnins.2017.00613</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>License undefined</dc:rights>
  <dc:source>Frontiers in Neuroscience. - 2017, vol. 11, p. 613</dc:source>
  <dc:subject>info:eu-repo/classification/udc/57</dc:subject>
  <dc:title xmlns:ns1="xml" ns1:lang="en">Electrical neuroimaging of music processing reveals mid-latency changes with level of musical expertise</dc:title>
  <dc:type>http://purl.org/coar/resource_type/c_6501</dc:type>
</oai_dc:dc>