Optical imaging of intrinsic signals in ferret auditory cortex: responses to narrowband sound stimuli

Versnel, Huib and Mossop, Jennifer E. and Mrsic-Flogel, Thomas D. and Ahmed, Bashir and Moore, David R.. (2002) Optical imaging of intrinsic signals in ferret auditory cortex: responses to narrowband sound stimuli. Journal of Neurophysiology, 88 (3). pp. 1545-1558.

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Official URL: http://edoc.unibas.ch/49659/

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This paper describes optical imaging of the auditory cortex in the anesthetized ferret, particularly addressing optimization of narrowband stimuli. The types of sound stimuli used were tone-pip trains and sinusoidal frequency and amplitude modulated (SFM and SAM) tones. By employing short illumination wavelengths (546 nm), we have successfully characterized the tonotopic arrangement, in agreement with the well-established electrophysiological tonotopic maps of the ferret auditory primary field (AI). The magnitude of the optical signal increased with sound level, was maximal for a modulation frequency (MF) of 2-4 Hz, and was larger for tone-pip trains and SFM sounds than for SAM sounds. Accordingly, an optimal narrowband stimulus was defined. Thus optical imaging can be used successfully to obtain frequency maps in auditory cortex by an appropriate choice of stimulus parameters. In addition, background noise consisting of 0.1-Hz oscillations could be reduced by introduction of blood pressure enhancing drugs. The optical maps were largely independent of 1) the type of narrowband stimulus, 2) the sound level, and 3) the MF. This stability of the optical maps was not predicted from the electrophysiological literature.
Faculties and Departments:05 Faculty of Science > Departement Biozentrum > Former Organization Units Biozentrum > Neural Networks (Mrsic-Flogel)
UniBasel Contributors:Mrsic-Flogel, Thomas
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:American Physiological Society
Note:Publication type according to Uni Basel Research Database: Journal article
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Last Modified:23 Nov 2017 11:01
Deposited On:23 Nov 2017 11:01

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