Functional connectivity in human auditory networks and the origins of variation in the transmission of musical systems

Lumaca, Massimo, Lambda, https://orcid.org/0000-0002-3432-3911

Kleber, Boris, Lambda

Brattico, Elvira, Lambda

Vuust, Peter, Lambda

Baggio, Giosue, Korean Language and Literature Society, https://orcid.org/0000-0001-5086-0365

massimo.lumaca@gmail.com

Published Oct 29, 2019 on Dryad. https://doi.org/10.5061/dryad.2jj01c1

Cite this dataset

Lumaca, Massimo et al. (2019). Functional connectivity in human auditory networks and the origins of variation in the transmission of musical systems [Dataset]. Dryad. https://doi.org/10.5061/dryad.2jj01c1

Abstract

Music producers, whether original composers or performers, vary in their ability to acquire and faithfully transmit music. This form of variation may serve as a mechanism for the emergence of new traits in musical systems. In this study, we aim to investigate whether individual differences in the social learning and transmission of music relate to intrinsic neural dynamics of auditory processing systems. We combined auditory and resting-state functional magnetic resonance imaging (fMRI) with an interactive laboratory model of cultural transmission, the signaling game, in an experiment with a large cohort of participants (N=51). We found that the degree of interhemispheric rs-FC within fronto-temporal auditory networks predicts—weeks after scanning—learning, transmission, and structural modification of an artificial tone system. Our study introduces neuroimaging in cultural transmission research and points to specific neural auditory processing mechanisms that constrain and drive variation in the cultural transmission and regularization of musical systems.

Usage notes

Explanation of the data and script organization.

In the .zip files below you can find data and Matlab scripts for the three main experiments and analysis: 'fMRI' (i.e. fMRI oddball paradigm), rs-fMRI (i.e. resting-state functional connectivity), Signaling games, and PPI. A detailed explanation of how files are organized can be found in this 'upd_readme.doc'. For Matlab scripts to work, files must be unzipped maintaining the original tree folder structure (see 'Folder structure' in readme.doc).

suppl_material_fMRI_Analysis_percentagesignalchanges

percentage signal change and R script to generate Fig. 3C

suppl_material_fMRI_Analysis_secondlevel

second-level results from the contrast of interest

matlabbatches to pre-process and analyze fMRI oddball data

suppl_material_fMRI_Analysis_SPM_matlabbatches.zip

suppl_material_fMRI_stimuli_oddballfMRI

Auditory stimuli used in the fMRI oddball task

suppl_material_rs_fMRI_CONN_batchandData_5mm_sphere_ROIs

Regions-of-interest (ROIs) used as seed in the rs-FC analysis

suppl_material_rs_fMRI_CONN_batchandData_scripts

Batch to run rs-FC preprocessing and analyses, and other scripts

suppl_material_rs_fMRI_CONN_batchandData_Data1

rs-FC metadata

suppl_material_rs_fMRI_CONN_batchandData_Data2

suppl_material_rs_fMRI_CONN_Results_firstlevel

rs-FC results from first-level analysis

suppl_material_rs_fMRI_CONN_Results_secondlevel

rs-FC results from second-level analysis

suppl_material_rs_fMRI_CONN_Results_preprocessing1

rs-FC preprocessing results part 1

suppl_material_rs_fMRI_CONN_Results_preprocessing2

rs-FC preprocessing results part 2

suppl_material_rs_fMRI_CONN_Results_preprocessing3

rs-FC preprocessing results part 3

suppl_material_rs_fMRI_CONN_Results_preprocessing4

rs-FC preprocessing results part 4

suppl_material_Signaling games

Raw and processed data files and scripts used to analyze signaling data (upd_Signaling games.zip)