List of functional connectivity software

From Wikipedia the free encyclopedia

Functional connectivity software is used to study functional properties of the connectome using functional Magnetic Resonance Imaging (fMRI) data in the resting state and during tasks. To access many of these software applications visit the NIH funded Neuroimaging Informatics Tools and Resources Clearinghouse (NITRC) site.

Name Description Programming language Is part of / requires Developer/Organization
CONN[1] Functional connectivity analysis and display tool Matlab SPM McGovern Institute for Brain Research, Massachusetts Institute of Technology: MIT
DCM[2] Dynamic Causal Modelling analysis Matlab SPM Wellcome Trust Centre for Neuroimaging, University College London
FATCAT[3] Functional and tractographic connectivity analysis C AFNI Scientific and Statistical Computing Core, National Institute of Mental Health: NIMH
FSFC[4] Seed-based functional connectivity analysis Shell FreeSurfer Martinos Center for Biomedical Imaging
MELODIC[5] Independent component analysis C FSL Functional Magnetic Resonance Imaging of the Brain Analysis Group, Oxford University

See also[edit]

References[edit]

  1. ^ Whitfield-Gabrieli, S.; Nieto-Castanon, A. (2012). "Conn: a functional connectivity toolbox for correlated and anticorrelated brainnetworks". Brain Connect. 2 (3): 125–141. doi:10.1089/brain.2012.0073. PMID 22642651.
  2. ^ Friston, K. J.; Kahan, J.; Biswal, B.; Razi, A. (2014). "A DCM for resting state fMRI". NeuroImage. 94 (100): 396–407. doi:10.1016/j.neuroimage.2013.12.009. PMC 4073651. PMID 24345387.
  3. ^ Taylor, P. A.; Saad, Z. S. (2013). "FATCAT: (an efficient) Functional and Tractographic Connectivity Analysis Toolbox". Brain Connect. 3 (5): 523–535. doi:10.1089/brain.2013.0154. PMC 3796333. PMID 23980912.
  4. ^ Fischl, B. FreeSurfer (2012). "FreeSurfer". NeuroImage. 62 (2): 774–781. doi:10.1016/j.neuroimage.2012.01.021. PMC 3685476. PMID 22248573.
  5. ^ Beckmann, C. F.; DeLuca, M.; Devlin, J. T.; Smith, S. M. (2005). "Investigations into resting-state connectivity using independentcomponent analysis". Philos. Trans. R. Soc. Lond. B Biol. Sci. 360 (1457): 1001–1013. doi:10.1098/rstb.2005.1634. PMC 1854918. PMID 16087444.