Title: User Friendly Functional Connectivity - UF²C: uf2c_7_3.zip

This DOI is associated with User Friendly Functional Connectivity - UF²C.

Abstract

  • DOI:

    10.25790/bml0cm.97

  • Description:

    UF²C is an open-source software developed at the Neuroimaging Laboratory at Unicamp that aims to simplify and organize functional studies in neuroimaging through clean and validated methodologies. UF²C has a full processing pipeline: The user only needs to select the raw functional and structural NIfTI files from the subjects. The graphical user interface makes the processing and analysis options accessible for neuroscientists, with reasonable choices of default settings. UF²C allows the user to study functional connectivity both through a quantitative view that provides detailed values of average connectivity and through a spatial view that provides statistical maps that can be directly used for further analyses. All results are carefully organized in a distinct folder for each subject, and a common folder is generated with a log file reporting the quantitative results of all the analyzed subjects. Several UF²C modalities and tools run combined with Statistical Parametric Mapping functions. UF²C is open source software, distributed under a BSD-style License.

  • Publisher:

    NITRC

  • Publication Year:

    2022

Author Information

  • Authors:

    Campos, B.M.

  • Cite as:

    Campos, B. M. (2022, Feb 14). [.]. Washington: NITRC. https:///doi/landing_page.php?table=frs_file&id=12480&doi=10.25790/bml0cm.97

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