S
Sebastian Jentschke
Researcher at University of Bergen
Publications - 39
Citations - 2245
Sebastian Jentschke is an academic researcher from University of Bergen. The author has contributed to research in topics: Musical syntax & Mismatch negativity. The author has an hindex of 21, co-authored 37 publications receiving 1937 citations. Previous affiliations of Sebastian Jentschke include Free University of Berlin & Max Planck Society.
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Journal ArticleDOI
Universal Recognition of Three Basic Emotions in Music
Thomas Hans Fritz,Sebastian Jentschke,Nathalie Gosselin,Daniela Sammler,Isabelle Peretz,Robert Turner,Angela D. Friederici,Stefan Koelsch,Stefan Koelsch +8 more
TL;DR: A crosscultural study with participants from a native African population (Mafa) and Western participants, with both groups being naive to the music of the other respective culture, shows that consonance and permanent sensory dissonance universally influence the perceived pleasantness of music.
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Musical training modulates the development of syntax processing in children
TL;DR: The data suggest that the neurophysiological mechanisms underlying syntax processing in music and language are developed earlier, and more strongly, in children with musical training.
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Processing of hierarchical syntactic structure in music
Stefan Koelsch,Martin Rohrmeier,Martin Rohrmeier,Renzo Torrecuso,Renzo Torrecuso,Sebastian Jentschke +5 more
TL;DR: The results reveal that a brain mechanism fundamental for syntactic processing is engaged during the perception of music, indicating that processing of hierarchical structure with nested nonlocal dependencies is not just a key component of human language, but a multidomain capacity of human cognition.
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Normative Development of White Matter Tracts: Similarities and Differences in Relation to Age, Gender, and Intelligence
Jonathan D. Clayden,Sebastian Jentschke,Monica Munoz,Monica Munoz,Janine M. Cooper,Martin J. Chadwick,Martin J. Chadwick,Tina Banks,Chris A. Clark,Faraneh Vargha-Khadem +9 more
TL;DR: This comprehensive data-driven approach based on principal components analysis is used to identify effects of age, gender, and brain volume on dMRI parameters, as well as their relative importance and shows that secondary components of these parameters predict full-scale IQ, independently of the age- and gender-related effects.
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Untangling syntactic and sensory processing: An ERP study of music perception
TL;DR: The findings indicate that the ERAN is an index of music-syntactic processing and that theERAN can be elicited even when irregular chords are not detectable based on acoustical factors such as pitch repetition, sensory dissonance, or roughness.