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  • 标题:Probabilistic atlas for the language network based on precision fMRI data from >800 individuals
  • 本地全文:下载
  • 作者:Benjamin Lipkin ; Greta Tuckute ; Josef Afourtit
  • 期刊名称:Scientific Data
  • 电子版ISSN:2052-4463
  • 出版年度:2022
  • 卷号:9
  • 期号:1
  • 页码:1-10
  • DOI:10.1038/s41597-022-01645-3
  • 语种:English
  • 出版社:Nature Publishing Group
  • 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 .
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