作者: Andrea Mechelli , Rik N.A Henson , Cathy J Price , Karl J Friston
DOI: 10.1016/S1053-8119(02)00027-7
关键词: Brain mapping 、 Algorithm 、 Regression analysis 、 Computer science 、 Early onset 、 Artificial intelligence
摘要: In this study we demonstrate that, even in blocked design fMRI, an event-related analysis may provide a more accurate model of the hemodynamic responses than epoch-related analysis. This is because temporal shape predicted response differs between and epoch model, with former reaching its peak sooner returning to baseline later latter. We present data from fMRI single word reading alternated rest. Conventionally, such would be analyzed using boxcar regressors. However, here used combined which trials were modeled as both events epochs. allowed us estimate variance BOLD signal that was explained by either or regressors having discounted effect other. found number language regions, changes activity not accounted for model. addition, show advantage over engendered early onset rather late offset, relative