Journal article
Tuning to sound frequency in auditory field Potentials
Journal of neurophysiology, Vol.98(3), pp.1806-1809
09/01/2007
DOI: 10.1152/jn.00358.2007
PMID: 17596418
Abstract
Neurons in auditory cortex are selective for the frequency content of acoustical stimuli. Classically, this response selectivity is studied at the single-neuron level. However, current research often employs functional imaging techniques to investigate the organization of auditory cortex. The signals underlying the imaging data arise from neural mass action and reflect the properties of populations of neurons. For example, the signal used for functional magnetic resonance imaging ( fMRI- BOLD) was shown to correlate with the oscillatory activity quantified by local field potentials ( LFPs). This raises the questions of how the frequency selectivity in neuronal population signals compares with the tuning of spiking responses. To address this, we quantified tuning properties of auditory- evoked potentials ( AEP), different frequency bands of the LFP, analog multi- unit ( AMUA), and spike- sorted single- and multi-unit activity in auditory cortex. The AMUA showed a close correspondence in frequency tuning to the spike- sorted activity. In contrast, for the LFP, we found a clear dissociation of high- and low- frequency bands: there was a gradual increase of tuning- curve similarity, tuning specificity, and information about the stimulus with increasing LFP frequency. Although properties of the high- frequency LFP matched those of spiking activity, the lower- frequency bands differed considerably as did the AEP. These results demonstrate that electrophysiological population responses exhibit varying degrees of frequency tuning and suggest that those functional imaging methods that are related to high- frequency oscillatory activity should well reflect the neuronal processing of sound frequency.
Details
- Title: Subtitle
- Tuning to sound frequency in auditory field Potentials
- Creators
- Christoph Kayser - Max Planck Institute for Biological CyberneticsChristopher I. Petkov - Max Planck Institute for Biological CyberneticsNikos K. Logothetis - Max Planck Institute for Biological Cybernetics
- Resource Type
- Journal article
- Publication Details
- Journal of neurophysiology, Vol.98(3), pp.1806-1809
- Publisher
- Amer Physiological Soc
- DOI
- 10.1152/jn.00358.2007
- PMID
- 17596418
- ISSN
- 0022-3077
- eISSN
- 1522-1598
- Number of pages
- 4
- Language
- English
- Date published
- 09/01/2007
- Academic Unit
- Iowa Neuroscience Institute; Neurosurgery; Otolaryngology
- Record Identifier
- 9984360131002771
Metrics
11 Record Views