The representational dynamics of perceived voice emotions evolve from categories to dimensions.

Publication Year: 2021

DOI:
10.1038/s41562-021-01073-0

PMCID:
PMC7611700

PMID:
33707658

Journal Information

Full Title: Nat Hum Behav

Abbreviation: Nat Hum Behav

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Behavioral Sciences

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

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Evidence found in paper:

"data availability the following materials are available at a dryad repository ( https://datadryad org/stash/dataset/doi:10 5061/dryad m905qfv0k ): single-trial behavioural data single-cross-validation fold fmri data and single-trial meg data for all participants; anonymized anatomical information required to reconstruct the meg sources and deform native-space statistical maps to dartel and mni space; sound stimuli and modulation transfer function representations.; code availability the matlab code for reconstructing the meg sources carrying out a group-level rsa analysis of the fmri and meg representation of perceived emotions and generating mni-space statistical maps is available at the following dryad repository: https://datadryad org/stash/dataset/doi:10 5061/dryad m905qfv0k . data availability the following materials are available at a dryad"

Evidence found in paper:

"code availability the matlab code for reconstructing the meg sources carrying out a group-level rsa analysis of the fmri and meg representation of perceived emotions and generating mni-space statistical maps is available at the following dryad repository: https://datadryad org/stash/dataset/doi:10 5061/dryad m905qfv0k ."

Evidence found in paper:

"Competing interests: The authors declare no competing interests."

Evidence found in paper:

"Supported by UK’s Biotechnology and Biological Sciences Research Council (grants BB/M009742/1 to JG, BLG, SAK, and PB, and BB/L023288/1 to PB and JG), by the French Fondation pour la Recherche Médicale (grant AJE201214 to PB), and by Research supported by grants ANR-16-CONV-0002 (ILCB), ANR-11-LABX-0036 (BLRI), and the Excellence Initiative of Aix-Marseille University (A*MIDEX). The funders had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript. We thank Olivier Coulon and Oliver Garrod for help with the development of the 3D glass brain, as well as Yinan Cao, Ian Charest, Carlos Crivelli, Beatrice De Gelder, Guillaume Masson, Robin A.A. Ince, Flor Kusnir, Stephen McAdams, and Robert Zatorre for useful comments on previous manuscript versions. Author contributions: Conceptualization: BLG, PB; Methodology: BLG, CW, NK, SAK, PB, JG; Software: BLG; Validation: BLG; Formal Analysis: BLG, CW, JG; Investigation: BLG, CW; Resources: BLG, PB; Data Curation: BLG, CW; Writing - Original Draft: BLG, CW, SAK, PB, JG; Writing – Review & Editing: BLG, CW, NK, SAK, PB, JG; Visualization: BLG; Supervision: BLG, PB, JG; Project Administration: JG; Funding Acquisition: BLG, SAK, PB, JG."

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Last Updated: Aug 05, 2025