@article{fd99a868e98c470fb754c4c534817a6d,
title = "A neural population selective for song in human auditory cortex",
abstract = "How is music represented in the brain? While neuroimaging has revealed some spatial segregation between responses to music versus other sounds, little is known about the neural code for music itself. To address this question, we developed a method to infer canonical response components of human auditory cortex using intracranial responses to natural sounds, and further used the superior coverage of fMRI to map their spatial distribution. The inferred components replicated many prior findings, including distinct neural selectivity for speech and music, but also revealed a novel component that responded nearly exclusively to music with singing. Song selectivity was not explainable by standard acoustic features, was located near speech- and music-selective responses, and was also evident in individual electrodes. These results suggest that representations of music are fractionated into subpopulations selective for different types of music, one of which is specialized for the analysis of song.",
keywords = "ECoG, auditory cortex, component, electrocorticography, fMRI, music, natural sounds, song, speech, voice",
author = "Norman-Haignere, {Sam V.} and Jenelle Feather and Dana Boebinger and Peter Brunner and Anthony Ritaccio and McDermott, {Josh H.} and Gerwin Schalk and Nancy Kanwisher",
note = "Funding Information: This work was supported by the National Institutes of Health ( DP1 HD091947 to N.K., P41-EB018783 to P.B. and G.S., P50-MH109429 to G.S., R01-EB026439 to P.B. and G.S., U24-NS109103 to P.B. and G.S., U01-NS108916 to P.B. and G.S., R25-HD088157 to G.S., and K99DC018051-01A1 to S.V.N.-H.), the US Army Research Office ( W911NF-15-1-0440 to G.S.), the National Science Foundation (grant BCS-1634050 to J.H.M.), the NSF Science and Technology Center for Brains , Minds, and Machines ( CCF-1231216 ), Fondazione Neurone (grant to P.B. and G.S.), the Howard Hughes Medical Institute (LSRF Postdoctoral Fellowship to S.V.N.-H.), and the Kristin R. Pressman and Jessica J. Pourian '13 Fund at MIT . Funding Information: This work was supported by the National Institutes of Health (DP1 HD091947 to N.K. P41-EB018783 to P.B. and G.S. P50-MH109429 to G.S. R01-EB026439 to P.B. and G.S. U24-NS109103 to P.B. and G.S. U01-NS108916 to P.B. and G.S. R25-HD088157 to G.S. and K99DC018051-01A1 to S.V.N.-H.), the US Army Research Office (W911NF-15-1-0440 to G.S.), the National Science Foundation (grant BCS-1634050 to J.H.M.), the NSF Science and Technology Center for Brains, Minds, and Machines (CCF-1231216), Fondazione Neurone (grant to P.B. and G.S.), the Howard Hughes Medical Institute (LSRF Postdoctoral Fellowship to S.V.N.-H.), and the Kristin R. Pressman and Jessica J. Pourian '13 Fund at MIT. Conceptualization, S.V.N.-H. J.F. P.B. A.R. J.H.M. G.S. and N.K.; methodology, S.V.N.-H. J.F. P.B. and A.R.; software, S.V.N.-H. and J.F.; validation, S.V.N.-H.; formal analysis, S.V.N.-H.; investigation, S.V.N.-H. D.B. P.B. and A.R.; resources, P.B. and A.R.; data curation, S.V.N.-H. J.F. D.B. and P.B.; writing ? original draft, S.V.N.-H.; writing ? review & editing, S.V.N.-H. J.F. D.B. P.B. A.R. J.H.M. G.S. and N.K.; visualization, S.V.N.-H.; supervision, A.R. J.H.M. G.S. and N.K.; project administration, N.K.; funding acquisition, S.V.N.-H. P.B. A.R. J.H.M. G.S. and N.K. N.K. was recently on the Current Biology advisory board. The other authors declare no competing interests. Publisher Copyright: {\textcopyright} 2022 Elsevier Inc.",
year = "2022",
month = apr,
day = "11",
doi = "10.1016/j.cub.2022.01.069",
language = "English",
volume = "32",
pages = "1470--1484.e12",
journal = "Current Biology",
issn = "0960-9822",
number = "7",
}