Adaptive analysis of fMRI data Export

@article{citeulike:572283, abstract = {This article introduces novel and fundamental improvements of fMRI data analysis. Central is a technique termed constrained canonical correlation analysis, which can be viewed as a natural extension and generalization of the popular general linear model method. The concept of spatial basis filters is presented and shown to be a very successful way of adaptively filtering the fMRI data. A general method for designing suitable hemodynamic response models is also proposed and incorporated into the constrained canonical correlation approach. Results that demonstrate how each of these parts significantly improves the detection of brain activity, with a computation time well within limits for practical use, are provided.}, author = {Friman, Ola and Borga, Magnus and Lundberg, Peter and Knutsson, Hans}, citeulike-article-id = {572283}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/S1053-8119(03)00077-6}, citeulike-linkout-1 = {http://www.sciencedirect.com/science/article/B6WNP-48J44GM-5/2/1dba86e7fdf116484e8bbb181c128b43}, citeulike-linkout-2 = {http://lmi.bwh.harvard.edu/papers/pdfs/2003/frimanNI03.pdf}, doi = {10.1016/S1053-8119(03)00077-6}, journal = {NeuroImage}, keywords = {adaptive-filtering, brain-analysis, canonical-correlation-analysis, glm, hemodynamic-response, spatial-filtering}, month = {July}, number = {3}, pages = {837--845}, posted-at = {2007-07-27 15:43:08}, priority = {3}, title = {Adaptive analysis of fMRI data}, url = {http://dx.doi.org/10.1016/S1053-8119(03)00077-6}, volume = {19}, year = {2003} }

TY - JOUR ID - citeulike:572283 L3 - citeulike-article-id:572283 N2 - This article introduces novel and fundamental improvements of fMRI data analysis. Central is a technique termed constrained canonical correlation analysis, which can be viewed as a natural extension and generalization of the popular general linear model method. The concept of spatial basis filters is presented and shown to be a very successful way of adaptively filtering the fMRI data. A general method for designing suitable hemodynamic response models is also proposed and incorporated into the constrained canonical correlation approach. Results that demonstrate how each of these parts significantly improves the detection of brain activity, with a computation time well within limits for practical use, are provided. IS - 3 JF - NeuroImage EP - 845 TI - Adaptive analysis of fMRI data VL - 19 SP - 837 KW - adaptive-filtering KW - brain-analysis KW - canonical-correlation-analysis KW - glm KW - hemodynamic-response KW - spatial-filtering AU - Friman, Ola AU - Borga, Magnus AU - Lundberg, Peter AU - Knutsson, Hans PY - 2003/07// UR - http://dx.doi.org/10.1016/S1053-8119(03)00077-6 ER -