Inter-subject pattern analysis: A straightforward and powerful scheme for group-level MVPA
نویسندگان
چکیده
منابع مشابه
Graph-Based Inter-Subject Pattern Analysis of fMRI Data
In brain imaging, solving learning problems in multi-subjects settings is difficult because of the differences that exist across individuals. Here we introduce a novel classification framework based on group-invariant graphical representations, allowing to overcome the inter-subject variability present in functional magnetic resonance imaging (fMRI) data and to perform multivariate pattern anal...
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A comparative study of three inter-subject brain image registration methods (SPM99, AFNI, and ART) is presented. It is shown that ART, which has a greater degree of freedom than SPM99 or AFNI, is able to more accurately remove the anatomical variability between highresolution MR images of different subjects. The accuracy is assessed by the ability of the algorithm to reduce a measure of spatial...
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ژورنال
عنوان ژورنال: NeuroImage
سال: 2020
ISSN: 1053-8119
DOI: 10.1016/j.neuroimage.2019.116205