University College London

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Music familiarity data.rar (69.4 MB)

Rapid Brain Responses to Familiar vs. Unfamiliar Music – an EEG and Pupillometry study ( data compressed in .rar format)

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posted on 2019-10-14, 15:32 authored by Maria ChaitMaria Chait, Sijia ZhaoSijia Zhao, Ulrich Pomper, Robert Jagiello
This dataset constitutes the data reported in the paper “Rapid Brain Responses to Familiar vs. Unfamiliar Music – an EEG and Pupillometry study” by authors: Robert Jagiello, Ulrich Pomper, Makoto Yoneya, Sijia Zhao, Maria Chait.

Included are the (anonymized and un-identifiable) EEG and Pupillometry data. See readme files for more details.

Experimental procedures were approved by the research ethics committee of University College London and were performed in accordance with the relevant guidelines and regulations.

Paper abstract:
Human listeners exhibit marked sensitivity to familiar music, perhaps most readily revealed by popular “name that tune” games, in which listeners often succeed in recognizing a familiar song based on extremely brief presentation. In this work, we used electroencephalography (EEG) and pupillometry to reveal the temporal signatures of the brain processes that allow differentiation between a familiar, well liked and unfamiliar piece of music. In contrast to previous work, which has quantified gradual changes in pupil diameter (the so-called “pupil dilation response”), here we focus on the occurrence of pupil dilation events. This approach is substantially more sensitive in the temporal domain and allowed us to tap early activity with the putative salience network. Participants (N=10) passively listened to snippets (750 ms) of a familiar, personally relevant and, an acoustically matched, unfamiliar song, presented in random order. A group of control participants (N=12), who were unfamiliar with all of the songs, was also tested. We reveal a rapid differentiation between snippets from familiar and unfamiliar songs: Pupil responses showed greater dilation rate to familiar music from 100-300 ms post-stimulus-onset, consistent with a faster activation of the autonomic salience network. Brain responses measured with EEG showed a later differentiation between familiar and unfamiliar music from 350 ms post onset. Remarkably, the cluster pattern identified in the EEG response is very similar to that commonly found in the classic old/new memory retrieval paradigms, suggesting that the recognition of brief, randomly presented, music snippets, draws on similar processes.


EC Horizon 2020 "Cognitive Control of a Hearing Aid"

Biotechnology and Biological Sciences Research Council (BBSRC) international partnering award. BB/L026864/1


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