Inferring affect from fMRI data. Trends Cogn Sci 2014:1e7. http://dx.doi.org/10.1016/ j.tics.2014.04.006. Elsevier Ltd.Knutson, B., Katovich, K., & Suri, G. (2014). Inferring affect from fMRI data. Trends in Cognitive Sciences, 18, 422- 428. http://dx.doi.org/10 .1016/j....
Inferring affect from fMRI data: Trends in Cognitive Sciences Neuroimaging findings are often interpreted in terms of affective experience, but researchers disagree about the advisability or even possibility of such i... B Knutson,K Katovich,G Suri - 《Trends in Cognitive Sciences》 被引量: 65...
However, the measurement of all the elements of the circuit is generally unfeasible and the inferred AR model is constrained by the data. These unknown or unrecorded variables introduce a confounding effect in the AR that may drastically affect the estimation of the functional connectivity41,44. ...
Finally, we demonstrate the applicability of lsNGC to estimating causality in large, real-world systems by inferring directional nonlinear, causal relationships among a large number of relatively short time series acquired from functional Magnetic Resonance Imaging (fMRI) data of the human brain....