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
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