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SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
http://www.nitrc.org/projects/minc-toolkit
A set of MINC-based image processing tools packaged together. It includes MINC, N3, BICPL, EBKTS, ANIMAL, INSECT, BEaST, Register, Display, and xdisp.
Proper citation: minc-toolkit (RRID:SCR_014138) Copy
http://www.nitrc.org/projects/clinicaltbx/
A clinical toolbox useful for normalizing data from individuals with brain injury and/or modalities popular in the clinical environment (CT). It supports either enantiomorphic or lesion-masked normalization. It can be either scripted or used with SPM's simple graphical interface.
Proper citation: Clinical Toolbox for SPM (RRID:SCR_014096) Copy
http://www.nitrc.org/projects/neoseg/
A tool which computes an automatic segmentation of neonatal brain MRI. It uses a registered probabilistic brain atlas to select training samples and to be used as a spatial prior.
Proper citation: Neoseg (RRID:SCR_014144) Copy
http://www.nitrc.org/projects/neosegpipeline/
This tool allows segmenting neonate brain MRI using a subject-specific atlas. It generates a subject-specific atlas based on an atlas population and some diffusion images of the subject to segment. Then a single atlas method is run with this atlas to obtain results.
Proper citation: NeoSegPipeline (RRID:SCR_014145) Copy
http://www.nitrc.org/projects/neuron-c/
A simulation language for modeling biophysically realistic neural circuits (1 to 10,000 neurons) and simulating physiology experiments on it. Programs for plotting and displaying data are included.
Proper citation: Neuron-C (RRID:SCR_014148) Copy
http://www.nitrc.org/projects/misst/
A practical diffusion MRI simulator for development, testing, and optimisation of novel MR pulse sequences for microstructure imaging. MISST is based on a matrix method approach and simulates the signal for a large variety of pulse sequences and tissue models. It is designed for diffusion MRI researchers who are interested in understanding and developing diffusion pulse sequences for imaging microstructure.
Proper citation: MISST - Microstructure Imaging Sequence Simulation ToolBox (RRID:SCR_014140) Copy
http://www.nitrc.org/projects/nlsrnnls/
A tool which offers a fast algorithm for computing myelin maps from multiecho T2 relaxation data using parallel computation with multicore CPUs and graphics processing units (GPUs). The tool also provides non-local spatial regularization to produce more accurate and reliable myelin maps for noisy T2 relaxation data.
Proper citation: Fast T2 relaxation data analysis with stimulated echo correction and non-local spatial regularisation (RRID:SCR_014108) Copy
http://www.nitrc.org/projects/forward/
A project which aims to simplify the preparation of accurate electromagnetic head models for EEG forward modeling. It builds off of the seminal SimNIBS tool for electromagnetic field modelling of transcranial magnetic stimulation and transcranial direct current stimulation. Human skin, skull, cerebrospinal fluid, and brain meshing pipelines have been rewritten with Nipype to ease access parallel processing and to allow users to start/stop the workflows. Conductivity tensor mapping from diffusion-weighted imaging is also included.
Proper citation: Forward: Accurate finite element electromagnetic head models (RRID:SCR_014109) Copy
http://www.nitrc.org/projects/erpwavelab
A toolbox developed for multi-channel time-frequency analysis of event related activity of EEG and MEG data. It provides tools for data analysis and visualization of the most commonly used measures of time-frequency transformed event related data as well as data decomposition through non-negative matrix and multi-way (tensor) factorization. The decompositions provided can accommodate additional dimensions like subjects, conditions or repeats and as such they are perfected for group analysis. The toolbox enables tracking of phase locked activity from one channel-time-frequency instance to another as well as tools for artifact rejection in the time-frequency domain.
Proper citation: ERPwavelab (RRID:SCR_014106) Copy
http://www.nitrc.org/projects/fcnirs/
A functional connectivity analysis tool for near-infrared spectroscopy data. Its functions include preprocessing, quality control, FC calculation and network analysis.
Proper citation: Functional Connectivity Analysis Tool for near-infrared spectroscopy data (RRID:SCR_014111) Copy
http://www.nitrc.org/projects/gazereader/
A toolbox for a point-process derived GLM analysis of eye tracking data in Matlab. Data loading, model specification, fitting and review are organized into a sequence of events, each of which is handled by a separate module in the toolbox. The graphical interface was created using the Matlab graphical user interface development environment.
Proper citation: GazeReader (RRID:SCR_014112) Copy
http://www.nitrc.org/projects/gcca
A multivariate method for fMRI data analysis based on generalized canonical correlation analysis (gCCA) to maximize SPM reproducibility without adopting any model for the hemodynamic response or other temporal brain responses. For multiple subjects, gCCA explores a broad range of temporal responses in fMRI time-series space while maximizing the mean of correlation coefficients between the pair-wise spatial maps of the subjects.
Proper citation: gCCA (RRID:SCR_014113) Copy
http://www.nitrc.org/projects/hof/
An MRI preprocessing pipeline built with HOF (Heterogeneous Optimization Framework) methodology. MGA prepares neuro-oncology clinical imaging studies for scientific analysis in both longitudinal and cross-sectional studies. It works on DICOM images from a single MRI study and includes perfusion (DSC sequence based) analysis and DTI analysis. MGA spatially co-registers all study images to an atlas template and to a template image within the study.
Proper citation: MGA - Multimodal Glioma Analysis (RRID:SCR_014122) Copy
http://www.nitrc.org/projects/iukf_2013/
A tractography algorithm for HARDI which provides a relatively accurate and efficient fiber tracking mechanism by reconstructing a bi-tensor model for underlying signals and exploiting intrinsic operations on the space of diffusion tensors. Given HARDI data sets, IUKF is capable of tracking in the presence of complex local geometries, such as crossing and kissing fibers. Reconstruction is only performed at the voxels along estimated fibers.
Proper citation: Intrinsic Unscented Kalman Filter (IUKF) Tractography Software v1.0 (RRID:SCR_014127) Copy
http://www.nitrc.org/projects/tbv
A software package for the real-time analysis and dynamic visualization of functional magnetic resonance imaging data sets. It allows users to observe the working brain "online" by incrementally computing statistical maps as contrasts of a General Linear Model (GLM). The program also performs real-time pre-processing, including 3D motion correction, spatial Gaussian smoothing and temporal filtering (drift removal).
Proper citation: Turbo-BrainVoyager (RRID:SCR_014175) Copy
http://www.nitrc.org/projects/topographica/
A software package for computational modeling of neural maps developed as part of the NIMH Human Brain Project. Topographica focuses on the large-scale structure and function that is visible only when many thousands of such neurons are connected into topographic maps containing millions of connections. The software package provides a general-purpose framework for building models at this level, at an appropriate level of detail and complexity, as determined by the available computing power, phenomena of interest, and amount of biological data available for validation. It is intended to complement low-level neuron simulators that are available, such as General Neural Simulation System and NEURON.
Proper citation: Topographica (RRID:SCR_014174) Copy
http://www.nitrc.org/projects/dfviewer/
A tool for visualizing displacement fields estimated in association with image registration. Based on the displacement vector field, a mesh is generated for visualization. The mesh can be color mapped with the jacobian determinant at each point for better localization of regions that undergo compression or expansion. Other key features include: view synchronization, adjustable mesh resolution, and conversion from deformation and HAMMER displacement fields.
Proper citation: Displacement Field Viewer (RRID:SCR_014101) Copy
http://www.nitrc.org/projects/friend
A GUI-based software for real-time fMRI processing, multivoxel pattern decoding and neurofeedback. The package integrates routines for image preprocessing in real-time, ROI-based feedback and brain decoding-based feedback using the FSL and libSVM libraries. Users can create or employ pre-specified visual stimuli for neurofeedback experiments. FRIEND can be used as Windows standalone software or as a multiplatform toolbox (called FRIEND Engine).
Proper citation: Functional Real-time Interactive Endogenous Neuromodulation and Decoding (FRIEND) (RRID:SCR_014186) Copy
http://www.nitrc.org/projects/fmpm
A tool which implements a functional analysis pipeline for the joint analysis of longitudinally measured functional data and clinical data (for example age, gender and disease status). FMPM consists of a functional mixed effects model for characterizing the association of functional response with covariates of interest by incorporating complex spatial–temporal correlation structure, an efficient method for spatially smoothing varying coefficient functions, an estimation method for estimating the spatial– temporal correlation structure, a test procedure with local and global test statistics for testing hypotheses of interest associated with functional response, and a simultaneous confidence band for quantifying the uncertainty in the estimated coefficient functions.
Proper citation: Functional Mixed Processes Models (RRID:SCR_014187) Copy
http://www.nitrc.org/projects/xnbc/
A full featured and extensible application which simulates biological neural networks using graphic tools which edit neurons and networks, run the simulation and analyze results. It is written in C and runs on Unix and Windows. It is specifically targeted for neuroscientists who are less experienced with computer programming.
Proper citation: XNBC (RRID:SCR_014182) Copy
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