Neural dynamics of event segmentation in music: converging evidence for dissociable ventral and dorsal networks.
The real world presents our sensory systems with a continuous stream of undifferentiated information. Segmentation of this stream at event boundaries is necessary for object identification and feature extraction. Here, we investigate the neural dynamics of event segmentation in entire musical symphonies under natural listening conditions. We isolated time-dependent sequences of brain responses in a 10 s window surrounding transitions between movements of symphonic works. A strikingly right-lateralized network of brain regions showed peak response during the movement transitions when, paradoxically, there was no physical stimulus. Model-dependent and model-free analysis techniques provided converging evidence for activity in two distinct functional networks at the movement transition: a ventral fronto-temporal network associated with detecting salient events, followed in time by a dorsal fronto-parietal network associated with maintaining attention and updating working memory. Our study provides direct experimental evidence for dissociable and causally linked ventral and dorsal networks during event segmentation of ecologically valid auditory stimuli.
Sridharan
Devarajan
D
Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA. dsridhar@stanford.edu
Levitin
Daniel J
DJ
Chafe
Chris H
CH
Berger
Jonathan
J
Menon
Vinod
V
D000328:Adult; D001306:Auditory Pathways / Q000502:physiology*; D001921:Brain / Q000502:physiology*; D001931:Brain Mapping; D004292:Dominance, Cerebral; D005260:Female; D006309:Hearing / Q000502:physiology*; D006801:Humans; D008279:Magnetic Resonance Imaging; D008297:Male; D008959:Models, Neurological; D009146:Music; D009415:Nerve Net / Q000502:physiology; D011930:Reaction Time; D013997:Time Factors