Journal
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
Volume 114, Issue 18, Pages 4799-4804Publisher
NATL ACAD SCIENCES
DOI: 10.1073/pnas.1617622114
Keywords
auditory cortex; functional MRI; natural sounds; model-based decoding; spectrotemporal modulations
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Funding
- Maastricht University
- Dutch Province of Limburg
- Netherlands Organization for Scientific Research [453-12-002, 451-15-012, 864-13-012]
- NIH [P41 EB015894, P30 NS076408, S10 RR26783]
- W. M. Keck Foundation
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Ethological views of brain functioning suggest that sound representations and computations in the auditory neural system are optimized finely to process and discriminate behaviorally relevant acoustic features and sounds (e.g., spectrotemporal modulations in the songs of zebra finches). Here, we show that modeling of neural sound representations in terms of frequency-specific spectrotemporal modulations enables accurate and specific reconstruction of real-life sounds from high-resolution functional magnetic resonance imaging (fMRI) response patterns in the human auditory cortex. Region-based analyses indicated that response patterns in separate portions of the auditory cortex are informative of distinctive sets of spectrotemporal modulations. Most relevantly, results revealed that in early auditory regions, and progressively more in surrounding regions, temporal modulations in a range relevant for speech analysis (similar to 2-4 Hz) were reconstructed more faithfully than other temporal modulations. In early auditory regions, this effect was frequency-dependent and only present for lower frequencies (
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