Search results

  1. 1.
    0545852 - ÚI 2022 US eng J - Journal Article
    Keilholz, S. - Pan, W.J. - Billings, Jacob - Nezafati, M. - Shakil, S.
    Noise and non-neuronal contributions to the BOLD signal: applications to and insights from animal studies.
    Neuroimage. Roč. 154 (2017), s. 267-281. ISSN 1053-8119. E-ISSN 1095-9572
    Keywords : resting-state fmri * cerebral-blood-flow * low-frequency oscillations * anti-correlated networks * default mode network * functional connectivity * global signal * brain networks * somatosensory stimulation * mouse-brain * fMRI * rs-fMRI * Functional connectivity * Functional MRI * Noise * Non-neuronal contributions * Animal studies
    Impact factor: 5.426, year: 2017
    Permanent Link: http://hdl.handle.net/11104/0322488
     
     
  2. 2.
    0545817 - ÚI 2022 US eng J - Journal Article
    Billings, Jacob - Keilholz, S.
    The Not-So-Global Blood Oxygen Level-Dependent Signal.
    Brain Connectivity. Roč. 8, č. 3 (2018), s. 121-128. ISSN 2158-0014. E-ISSN 2158-0022
    Keywords : neural activity * brain networks * spatiotemporal dynamics * functional connectivity * eeg vigilance * fmri signal * bold fmri * fluctuations * oscillation * variability * blood oxygen level-dependent (BOLD) signal * global BOLD signal * global signal regression * noise * quasi-periodic patterns (QPPs) * resting-state functional magnetic resonance imaging (rs-fMRI)
    Permanent Link: http://hdl.handle.net/11104/0322462
     
     
  3. 3.
    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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