Characterizing stimulus-response functions using nonlinear regressors in parametric fMRI experiments
Characterizing stimulus-response functions using nonlinear regressors in parametric fMRI experiments
复制标题
DOI:
10.1006/nimg.1998.0351
复制
发表时间:
1998-08-01
期刊:
影响因子:
5.7
通讯作者:
Friston, KJ
中科院分区:
文献类型:
--
作者:
Buchel, C;Holmes, AP;Friston, KJ
Parametric study designs proved very useful in characterizing the relationship between experimental parameters (e.g., word presentation rate) and regional cerebral blood flow in positron emission tomography studies. In a previous paper we presented a method that fits nonlinear functions of stimulus or task parameters to hemodynamic responses, using second-order polynomial expansions. Here we expand this approach to model nonlinear relationships between BOLD responses and experimental parameters, using fMRI. We present a framework that allows this technique to be implemented in the context of the general linear model employed by statistical parametric mapping (SPM). Statistical inferences, in this instance, are based on F statistics and in this respect we emphasize the use of corrected P values for F fields (i.e., SPM{F}). The approach is illustrated with a fMRI study that looked at the effect of increasing auditory word-presentation rate. Our parametric design allowed us to characterize different forms of rate-dependent responses in three critical regions: (i) bilateral frontal regions showed a categorical response to the presence of words irrespective of rate, suggesting a role for this region in establishing cognitive (e.g., attentional) set; (ii) in bilateral occipitotemporal regions activations increased linearly with increasing word rate; and (iii) posterior auditory association cortex exhibited a nonlinear (inverted U) relationship to word rate. (C) 1998 Academic Press.