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    0532231 - ÚI 2021 RIV US eng J - Journal Article
    Kopal, Jakub - Pidnebesna, Anna - Tomeček, D. - Tintěra, J. - Hlinka, Jaroslav
    Typicality of Functional Connectivity Robustly Captures Motion Artifacts in rs‐fMRI across Datasets, Atlases, and Preprocessing Pipelines.
    Human Brain Mapping. Roč. 41, č. 18 (2020), s. 5325-5340. ISSN 1065-9471. E-ISSN 1097-0193
    R&D Projects: GA ČR GA17-01251S
    Grant - others:GA MŠk(CZ) LO1611
    Institutional support: RVO:67985807
    Keywords : atlas * functional connectivity * motion * quality * rs‐fMRI
    OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
    Impact factor: 5.038, year: 2020
    Method of publishing: Open access
    Permanent Link: http://hdl.handle.net/11104/0310801
    FileDownloadSizeCommentaryVersionAccess
    2020-08-Hlinka-Human-Brain-Mapping.docx016 KBOA poplatekOtherrequire
    0532231-aoa.pdf22 MBOA CC BY NCPublisher’s postprintopen-access
     
     

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