Journal article
Dynamics underlying auditory‐object‐boundary detection in primary auditory cortex
The European journal of neuroscience, Vol.54(9), pp.7274-7288
11/2021
DOI: 10.1111/ejn.15471
PMID: 34549472
Abstract
Auditory object analysis requires the fundamental perceptual process of detecting boundaries between auditory objects. However, the dynamics underlying the identification of discontinuities at object boundaries are not well understood. Here, we employed a synthetic stimulus composed of frequency-modulated ramps known as 'acoustic textures', where boundaries were created by changing the underlying spectrotemporal statistics. We collected magnetoencephalographic (MEG) data from human volunteers and observed a slow (<1 Hz) post-boundary drift in the neuromagnetic signal. The response evoking this drift signal was source localised close to Heschl's gyrus (HG) bilaterally, which is in agreement with a previous functional magnetic resonance imaging (fMRI) study that found HG to be involved in the detection of similar auditory object boundaries. Time-frequency analysis demonstrated suppression in alpha and beta bands that occurred after the drift signal.
Keywords: MEG; auditory object; change detection; perceptual decision making; statistical learning.
Details
- Title: Subtitle
- Dynamics underlying auditory‐object‐boundary detection in primary auditory cortex
- Creators
- Pradeep Dheerendra - Newcastle UniversityNicolas Barascud - UCL Ear InstituteSukhbinder Kumar - University of Newcastle AustraliaTobias Overath - Duke UniversityTimothy D. Griffiths - Wellcome Centre for Human Neuroimaging
- Resource Type
- Journal article
- Publication Details
- The European journal of neuroscience, Vol.54(9), pp.7274-7288
- DOI
- 10.1111/ejn.15471
- PMID
- 34549472
- NLM abbreviation
- Eur J Neurosci
- ISSN
- 0953-816X
- eISSN
- 1460-9568
- Grant note
- DOI: 10.13039/100010269, name: Wellcome Trust, award: WT102561/Z/13/Z, WT106964MA
- Language
- English
- Date published
- 11/2021
- Academic Unit
- Psychological and Brain Sciences; Neurosurgery
- Record Identifier
- 9984304031702771
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