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Intrinsic functional connectivity delineates transmodal language functions

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DataONE2025-05-15 更新2025-05-31 收录
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Communication involves the translation of sensory information (e.g., heard words) into abstract concepts according to abstract rules (e.g., the meaning of those words). Accordingly, using language involves an interplay between unimodal brain areas that process sensory information and transmodal areas that respond to linguistic input regardless of the input modality (e.g., reading sentences vs. listening to speech). Previous work has shown that intrinsic functional connectivity (iFC), when performed within individuals, can delineate a distributed language network that overlaps in detail with regions activated by a reading task. The network was widely distributed across multiple brain regions, recapitulating an organization that is characteristic of association cortex, and which suggests that the distributed language network serves transmodal, not unimodal, functions. Here, we tested whether the distributed language network encapsulates transmodal functions by assessing its degree of over..., , , # Intrinsic functional connectivity delineates transmodal language functions [https://doi.org/10.5061/dryad.ngf1vhj4t](https://doi.org/10.5061/dryad.ngf1vhj4t) ## Description of the data and file structure This dataset contains the task activity maps and surface parcellations used in our research paper. All surface files needed to open these maps are also included. First open surface file(s) (e.g. wbtemplates_fsaverage6/lh.pialinfl2.surf.gii) then open data file(s) (e.g. parcellations_and_borders/S1_k14_MSHBM_parcellation_colored.dlabel.nii). Files can be viewed using the free software Connectome Workbench. The latest version can be downloaded here:  [https://www.humanconnectome.org/software/get-connectome-workbench](https://www.humanconnectome.org/software/get-connectome-workbench) Source code for earlier versions of Connectome Workbench may be found here: [https://github.com/Washington-University/workbench/releases](https://github.com/Washington-University/workbench/releases)...,
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2025-05-16
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