Optimizes functional magnetic resonance imaging (fMRI) analysis of data derived from high motion pediatric and clinical subjects. ArtRepair is a module, compatible with SPM2, 5, 8 and 12, intending to identify and correct artifacts at three different levels (voxel, volume and slice). This application comprises five mains functions that includes noise filtering, an utility to repair outlier volumes as well as a feature to display the quality of estimates produced by SPM.
Automates preprocessing and analysis of resting-state functional magnetic resonance imaging (fMRI) data. C-PAC allows users to assess the impact of processing decisions on their findings by specifying multiple analysis pipelines to be run simultaneously. This tool provides a quality control functionality that simplifies manual examination of pipeline outputs. It can be used to select subjects to be included in group comparisons.
Serves for iterative image deblurring. PID allows users to deconvolve a color image by splitting the channels and deblur each channel separately. It contains a graphical user interface (GUI) permitting users to specify several types of details such as stopping tolerance, threshold, or log convergence.
Treats both fMRI and M/EEG data as first-class citizens. CoSMoMVPA supports all state-of-the-art MVP analysis techniques, including searchlight analyses, classification, correlations, representational similarity analysis, and the time generalization method. It uses a uniform data representation of fMRI data in the volume or on the surface, and of M/EEG data at the sensor and source level. The tool provides a generalized approach to multiple comparison correction across these dimensions using Threshold-Free Cluster Enhancement with state-of-the-art clustering and permutation techniques.
Allows users to improve signal-to-noise-ratio (SNR) by automatically deriving the noise regressors entered in the general linear model (GLM). GLMdenoise is a denoising technique that can encompass many different types of noise, including motion-related noise, physiological noise, and neural noise. Moreover, this method can be applied to existing functional magnetic resonance imaging (fMRI) datasets.
Manages task-based and resting-state functional magnetic resonance imaging (fMRI) for analysis. FMRIPrep is divided into anatomical and functional preprocessing tasks which are both composed of modules that can be merged differently according to the user input data. It encompasses several features such as voxel-based, resting-state connectivity or surface-based analysis. The software can also be run through the OpenNeuro platform or the Singularity container.
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.