## Abstract ## Purpose To measure and quantitatively characterize an activity generated by the neurons of the visual cortex (VC) in response to graded luminous intensity contrast stimuli using a 1.5 Tesla scanner. ## Materials and Methods Functional magnetic resonance imaging (fMRI) of the vc wi
Determination of individual stimulus–response curves in the visual cortex
✍ Scribed by Rogier E. Hagenbeek; Serge A.R.B. Rombouts; Bob W. van Dijk; Frederik Barkhof
- Publisher
- John Wiley and Sons
- Year
- 2002
- Tongue
- English
- Weight
- 446 KB
- Volume
- 17
- Category
- Article
- ISSN
- 1065-9471
No coin nor oath required. For personal study only.
✦ Synopsis
Abstract
Activation in the visual cortex is typically studied using group average changes in an on–off paradigm for a single flicker frequency. We used functional magnetic resonance imaging (fMRI) to characterize the stimulus–response curve in the visual cortex as a function of flicker frequency in individual subjects, using LED goggles with 17 frequency steps between 0 and 30 Hz. Ten healthy young individuals were studied on two different occasions (mean interval; 22 days). In all but one subject, a third‐order polynomial curve could be fitted to the data. From the response curve we calculated the peak response (the frequency where the response amplitude was maximal), the percentage change (relative difference) of the response amplitudes between 8 Hz and the peak frequency, and the average slope of response (towards the peak). On both occasions we could determine a peak response for each subject with small within‐subject variability. The average absolute difference in peak response between both sessions was 1.37 Hz (range, 0.2–4.3 Hz), indicating that the peak frequency is rather stable for a given individual. In conclusion, our study illustrates the ability of fMRI to examine the stimulus–response curve in individual subjects in the visual cortex. Based on our findings, the peak response and the slope of response seem highly reproducible within subjects. A similar analysis of the stimulus–response curve may be applicable to other types of stimuli. Hum. Brain Mapping 17:245–251, 2002. © 2002 Wiley‐Liss, Inc.
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