Journal article
Multivoxel codes for representing and integrating acoustic features in human cortex
NeuroImage (Orlando, Fla.), Vol.217, pp.116661-116661
08/15/2020
DOI: 10.1016/j.neuroimage.2020.116661
PMCID: PMC7339141
PMID: 32081785
Abstract
Using fMRI and multivariate pattern analysis, we determined whether spectral and temporal acoustic features are represented by independent or integrated multivoxel codes in human cortex. Listeners heard band-pass noise varying in frequency (spectral) and amplitude-modulation (AM) rate (temporal) features. In the superior temporal plane, changes in multivoxel activity due to frequency were largely invariant with respect to AM rate (and vice versa), consistent with an independent representation. In contrast, in posterior parietal cortex, multivoxel representation was exclusively integrated and tuned to specific conjunctions of frequency and AM features (albeit weakly). Direct between-region comparisons show that whereas independent coding of frequency weakened with increasing levels of the hierarchy, such a progression for AM and integrated coding was less fine-grained and only evident in the higher hierarchical levels from non-core to parietal cortex (with AM coding weakening and integrated coding strengthening). Our findings support the notion that primary auditory cortex can represent spectral and temporal acoustic features in an independent fashion and suggest a role for parietal cortex in feature integration and the structuring of sensory input.
•This study used fMRI and multivariate analysis to examine acoustic feature coding•In auditory cortex, frequency and AM rate were represented primarily independently•In parietal cortex, multivoxel representation was exclusively integrated
Details
- Title: Subtitle
- Multivoxel codes for representing and integrating acoustic features in human cortex
- Creators
- Ediz Sohoglu - University of SussexSukhbinder Kumar - Wellcome Centre for Human NeuroimagingMaria Chait - UCL Ear InstituteTimothy D. Griffiths - Wellcome Centre for Human Neuroimaging
- Resource Type
- Journal article
- Publication Details
- NeuroImage (Orlando, Fla.), Vol.217, pp.116661-116661
- DOI
- 10.1016/j.neuroimage.2020.116661
- PMID
- 32081785
- PMCID
- PMC7339141
- NLM abbreviation
- Neuroimage
- ISSN
- 1053-8119
- eISSN
- 1095-9572
- Publisher
- Elsevier Inc
- Grant note
- DOI: 10.13039/100010269, name: Wellcome Trust, award: WT106964MA
- Language
- English
- Date published
- 08/15/2020
- Academic Unit
- Psychological and Brain Sciences; Neurosurgery
- Record Identifier
- 9984303897602771
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