摘要：Two analytic traditions characterize fMRI language research . One relies on averaging activations across individuals . This approach has limitations: because of inter-individual variability in the locations of language areas, any given voxel/vertex in a common brain space is part of the language network in some individuals but in others, may belong to a distinct network . An alternative approach relies on identifying language areas in each individual using a functional ‘localizer’. Because of its greater sensitivity, functional resolution, and interpretability, functional localization is gaining popularity, but it is not always feasible, and cannot be applied retroactively to past studies . To bridge these disjoint approaches, we created a probabilisticfunctional atlas using fMRI data for an extensively validated language localizer in 806 individuals . This atlas enables estimating the probability that any given location in a common space belongs to the language network, and thus can help interpret group- level activation peaks and lesion locations, or select voxels/electrodes for analysis . More meaningful comparisons of fndings across studies should increase robustness and replicability in language research .
