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Multiple connectivity analyses and measures, including Seed-Based Correlations (SBC), ROI-to-ROI analyses, complex-network analyses, generalized Psycho-Physiological Interaction models (gPPI), Independent Component Analyses (group-ICA), masked ICA, Amplitude of Low-Frequency Fluctuations (ALFF & fALFF), Intrinsic Connectivity (ICC), Local Homogeneity (LCOR), Global Correlations (GCOR), Multivoxel Pattern Analyses (MVPA), and dynamic connectivity analyses (dyn-ICA, sliding-window correlations) FC histogram plots, BOLD signal carpetplots, Framewise Displacement, GCOR measures, FC-QC correlations) Integrated quality control procedures and measures (e.g. scrubbing, aCompCor, ICA-based denoising, Global Regression, band-pass filtering) Standardized preprocessing pipelines of functional and anatomical volumes powered by SPM12 (including susceptibility distortion correction, motion correction / realignment, slice-timing correction, outlier identification, coregistration, tissue-class segmentation, MNI-normalization, and smoothing)Ĭontrol of residual physiological and motion artifacts (e.g. Automatic import tools for BIDS datasets and fMRIPrep outputs Importing DICOM, ANALYZE, and NIfTI functional and anatomical files, either raw or partially/fully preprocessed volumes. Processing and analysis steps in CONN include: CONN is used to analyze resting state data (rsfMRI) as well as task-related designs.
SPM12 MATLAB 2018B GUI UNSTABLE SOFTWARE
CONN is an open-source Matlab/ SPM-based cross-platform software for the computation, display, and analysis of functional connectivity Magnetic Resonance Imaging (fcMRI).