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Previous Article | Next Article
Volume 16, Number 13, Issue of July 1, 1996 pp. 4207-4221
Copyright ©1996 Society for NeuroscienceLinear Systems Analysis of Functional Magnetic Resonance Imaging in Human V1
Received Dec. 11, 1995; revised March 29, 1996; accepted April 2, 1996.
Geoffrey M. Boynton1, Stephen A. Engel1, Gary H. Glover2, and David J. Heeger1 1 Departments of Psychology and 2 Diagnostic Radiology, Stanford University, Stanford, California 94305
The linear transform model of functional magnetic resonance imaging (fMRI) hypothesizes that fMRI responses are proportional to local average neural activity averaged over a period of time. This work reports results from three empirical tests that support this hypothesis. First, fMRI responses in human primary visual cortex (V1) depend separably on stimulus timing and stimulus contrast. Second, responses to long-duration stimuli can be predicted from responses to shorter duration stimuli. Third, the noise in the fMRI data is independent of stimulus contrast and temporal period. Although these tests can not prove the correctness of the linear transform model, they might have been used to reject the model. Because the linear transform model is consistent with our data, we proceeded to estimate the temporal fMRI impulse-response function and the underlying (presumably neural) contrast-response function of human V1.
Key words: functional MRI; linear systems analysis; contrast perception; temporal impulse-response function; hemodynamics; calcarine sulcus
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