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Resting state fMRI (rs-fMRI or R-fMRI), also referred to as task-independent fMRI or task-free fMRI, is a method of functional magnetic resonance imaging (fMRI) that is used in brain mapping to evaluate regional interactions that occur in a resting or task-negative state, when an explicit task is not being performed.
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.
CONN includes a user-friendly GUI to manage all aspects of functional connectivity analyses, [1] including preprocessing of functional and anatomical volumes, [2] elimination of subject-movement and physiological noise, [3] outlier scrubbing, [4] estimation of multiple connectivity and network measures, and population-level hypothesis testing.
That is, the PPI term is defined using a pre-defined seed, and a voxel-wise analysis is performed to identify regions in the whole brain that showed task modulated connectivity with the seed region. The PPI method can also be applied to every pair of regions in the brain, so that the whole-brain task modulated connectivity, i.e. task connectome ...
CONN (functional connectivity toolbox) Diffusion Imaging in Python (DIPY) [1] DL+DiReCT [2] EEGLAB; FMRIB Software Library (FSL) FreeSurfer; Computational anatomy toolbox; Imaris Imaris for Neuroscientists; ISAS (Ictal-Interictal SPECT Analysis by SPM) LONI Pipeline, Laboratory of Neuro Imaging, USC; Lead-DBS; Mango [3]
Functional connectivity analyses allow the characterization of interregional neural interactions during particular cognitive or motor tasks or merely from spontaneous activity during rest. FMRI and PET enable creation of functional connectivity maps of distinct spatial distributions of temporally correlated brain regions called functional networks.
Functional MRI FABBER FABBER is a Bayesian model fitting tool intended for use in task modelling of ASL data.: FEAT Model-based FMRI analysis with straightforward but powerful GUI: data preprocessing (including slice timing correction, MCFLIRT motion correction and PRELUDE+FUGUE EPI unwarping); FILM GLM timeseries analysis with prewhitening; registration to structural and/or standard space ...
An example that identified 10 large-scale brain networks from resting state fMRI activity through independent component analysis [15]. Because brain networks can be identified at various different resolutions and with various different neurobiological properties, there is currently no universal atlas of brain networks that fits all circumstances. [16]