Modulating cortical instrument representations during auditory stream segregation and integration with polyphonic music

DOI

Numerous neuroimaging studies demonstrated that the auditory cortex tracks ongoing speech and that, in multi-speaker environments, tracking of the attended speaker is enhanced compared to the other irrelevant speakers. In contrast to speech, multi-instrument music can be appreciated by attending not only on its individual entities (i.e., segregation) but also on multiple instruments simultaneously (i.e., integration). We investigated the neural correlates of these two modes of music listening using electroencephalography (EEG) and sound envelope tracking. To this end, we presented uniquely composed music pieces played by two instruments, a bassoon and a cello, in combination with a previously validated music auditory scene analysis behavioral paradigm (Disbergen, Valente, Formisano, & Zatorre, 2018). Similar to results obtained through selective listening tasks for speech, relevant instruments could be reconstructed better than irrelevant ones during the segregation task. A delay-specific analysis showed higher reconstruction for the relevant instrument during a middle latency window for both the bassoon and cello and during a late window for the bassoon. During the integration task, we did not observe significant attentional modulation when reconstructing the overall music envelope. Subsequent analyses indicated that this null result might be due to the heterogeneous strategies listeners employ during the integration task. Overall, our results suggest that subsequent to a common processing stage, top-down modulations consistently enhance the relevant instrument’s representation during an instrument segregation task, whereas such an enhancement is not observed during an instrument integration task. These findings extend previous results from speech tracking to the tracking of multi-instrument music and, furthermore, inform current theories on polyphonic music perception.

Identifier
DOI https://doi.org/10.34894/9ITCNN
Metadata Access https://dataverse.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34894/9ITCNN
Provenance
Creator Hausfeld, Lars ORCID logo; Disbergen, Niels R. ORCID logo; Valente, Giancarlo ORCID logo; Zatorre, Robert J. ORCID logo; Formisano, Elia ORCID logo
Publisher DataverseNL
Contributor Hausfeld, Lars; faculty data manager FPN
Publication Year 2021
Rights info:eu-repo/semantics/restrictedAccess
OpenAccess false
Contact Hausfeld, Lars (Maastricht University); faculty data manager FPN (Maastricht University)
Representation
Resource Type EEG Data; Dataset
Format application/zip
Size 3493618002; 60232713
Version 1.0
Discipline Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Fine Arts, Music, Theatre and Media Studies; Humanities; Life Sciences; Music; Social Sciences; Social and Behavioural Sciences; Soil Sciences