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Can process parallel analysis of functional magnetic resonance imaging (fMRI) data on a large variety of hardware configurations. BROCCOLI can perform non-linear spatial normalization to a 1 mm3 brain template in 4–6 s, and run a second level permutation test with 10,000 permutations in about a minute. It aims to demonstrate the advantages of parallel processing and to enable the neuroimaging field to avail itself of more computationally demanding normalization algorithms, and statistical methods that are based on a smaller number of assumptions.


Allows characterization of functional magnetic resonance imaging (fMRI) activation patterns based on functionally-derived atlases. ICN_Atlas is an atlasing tool providing a collection of scripts that serves as an extension to the SPM toolbox. The software allows interpretation of blood oxygenation-level dependent (BOLD) maps based on the objective quantification of the degree of engagement of a set of intrinsic connectivity networks. It can be applied to activation studies of any nature, providing reproducible descriptions of fMRI maps.


Performs functional magnetic resonance imaging (fMRI) analysis computation. Fiswidgets provides a desktop style framework containing more than 100 subcomponents of fMRI analysis software packages. This software facilitates the interoperability and usability of tools developed by different laboratories and it is built on open architecture and source, modularity and extensibility. It allows users to dynamically construct, execute, monitor, and log multi-step and iterative data processing sequences.


Improves signal-to-noise ratio (SNR) by entering noise regressors into a general linear model (GLM) analysis of functional magnetic resonance imaging (fMRI) data. GLMdenoise determines voxels unrelated to the experimental paradigm, selects the optimal number of principal components to use as noise regressors. It consistently improves cross-validation accuracy of GLM estimates on a variety of event-related experimental datasets and is accompanied by substantial gains in SNR. The tool consists of an hemodynamic response function (HRF) and beta weights, which describe effects related to the experiment and are of primary interest, as well as polynomial and noise regressors, which describe nuisance effects.