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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/vertex
A Matlab tool for simulating extracellular potential recordings in spiking neural network (SNN) models. VERTEX is designed to facilitate the simulation of extracellular potentials generated by activity in SNNs; in particular, spatially-organised networks containing thousands or hundreds of thousands of neurons. It has a limited scope but has a simpler user interface so that a simulation can be specified simply by setting some parameters and run using a few function calls.
Proper citation: Virtual Electrode Recording Tool for EXtracellular potentials (VERTEX) (RRID:SCR_014178) Copy
http://www.nitrc.org/projects/cta_toolbox
A Matlab tool to perform statistical analysis on cortical thickness signals on brain surfaces obtained from Freesurfer. It is used for multi-resolutional analysis of such cortical thickness signals and detecting group differences. It is based on the Spectral Graph Wavelet Transform (SGWT) toolbox and provides plug and play methods for deriving Wavelet Multiscale Descriptor (WMD), cortical thickness smoothing using SGWT, Multivariate General Linear Model (MGLM), and False Discovery Rate (FDR).
Proper citation: Wisconsin Cortical Thickness Analysis (CTA) Toolbox (RRID:SCR_014180) Copy
http://www.nitrc.org/projects/bratumia
Segmentation software for multimodal image analysis of brain tumor studies. It performs volumetric segmentation of healthy and tumor tissues by employing multispectral MRI sequences. Segmented tissues include Gray Matter, White Matter, Cerebrospinal Fluid, necrotic core, edema, non-enhancing tumor and enhancing tumor.
Proper citation: BraTumIA (Brain Tumor Image Analysis) (RRID:SCR_014184) Copy
http://www.nitrc.org/projects/openvibe
A multi-platform software dedicated to designing, testing and using brain-computer interfaces (BCI). OpenViBE is a software for real-time neurosciences that can be used to acquire, filter, process, classify and visualize brain signals in real time.
Proper citation: OpenViBE (RRID:SCR_014156) Copy
http://www.nitrc.org/projects/nusdast
A repository of schizophrenia neuroimaging data collected from over 450 individuals with schizophrenia, healthy controls and their respective siblings, most with 2-year longitudinal follow-up. The data include neuroimaging data, cognitive data, clinical data, and genetic data.
Proper citation: Northwestern University Schizophrenia Data and Software Tool (NUSDAST) (RRID:SCR_014153) Copy
http://www.nitrc.org/projects/openwalnut/
Open source tool for multi-modal medical and brain data visualization. It is a tool for the scientific user and a powerful framework for the visualization researcher. It is written in Standard C++ and uses a number of portable libraries (e.g. Qt, Boost and OpenSceneGraph). It runs on common GNU/Linux operating systems, Mac OSX and Windows.
Proper citation: OpenWalnut (RRID:SCR_014157) Copy
http://www.nitrc.org/projects/csa-odf
A Matlab toolbox that computes the Q-Ball Imaging Orientation Distribution Function in Constant Solid Angle (CSA-ODF) for diffusion-weighted MRI.
Proper citation: Orientation Distribution Function in Constant Solid Angle (CSA-ODF) (RRID:SCR_014158) Copy
http://www.nitrc.org/projects/niistat/
A set of Matlab scripts for analyzing neuroimaging data from clinical populations. The NiiStat tools are designed to correlate behavioral data (task performance) with brain imaging data.
Proper citation: NiiStat (RRID:SCR_014152) Copy
http://www.nitrc.org/projects/ruby-nifti/
A library for handling NIfTI data in the Ruby programming language. Ruby NIfTI supports basic read and write access to NIfTI files, including basic and extended header information and image information. It doesn't attempt to touch the image data but it does provide access to qform and sform orientation matrices. It also provides a nice interface to get at NIfTI info from within Ruby.
Proper citation: Ruby NIfTI (RRID:SCR_014164) Copy
http://www.nitrc.org/projects/score/
A collection of methods for comparing the performance of different image algorithms. These methods generate quantitative scores that measure divergences to a standard.
Proper citation: SCORE (RRID:SCR_014165) Copy
http://www.nitrc.org/projects/pca-scalar-mesh
An implementation of standard PCA algorithms for use on scalar or vector data sets. Kernel PCA is implemented in this class, where the data sets are scalar or vector valued functions assigned at each of the points in a PointSet. A Gaussian Distance Kernel class is provided with the PCA class.
Proper citation: Principal Components Analysis of Scalar, Vector, and Mesh Vertex Data (RRID:SCR_014163) Copy
http://surfer.nmr.mgh.harvard.edu/optseq/
Software tool for automatically scheduling events for rapid-presentation event-related (RPER) fMRI experiments (the schedule is the order and timing of events). Events in RPER are presented closely enough in time that their hemodynamic responses will overlap. This requires that the onset times of the events be jittered in order to remove the overlap from the estimate of the hemodynamic response. RPER is highly resistant to habituation, expectation, and set because the subject does not know when the next stimulus will appear or which stimulus type it will be.
Proper citation: Optseq (RRID:SCR_014363) Copy
http://www.nitrc.org/projects/gscca_2013/
Group Sparse Canonical Correlation Analysis is a method designed to study the mutual relationship between two different types of data.
Proper citation: Group Sparse Canonical Correlation Analysis (RRID:SCR_014977) Copy
Community site to make brain imaging research easier that aims to build software that is clearly written, clearly explained, a good fit for the underlying ideas, and a natural home for collaboration.
Proper citation: Neuroimaging in Python (RRID:SCR_013141) Copy
Providing quality resources for the management of cerebral aneurysms and features an online calculator that calculates cerebral aneurysm volume and percent packing volume after coil embolization. The site also host an imaging Library with neuroanatomy and neurovascular images.
Proper citation: AngioCalc Cerebral Aneurysm Calculator (RRID:SCR_012805) Copy
http://umcd.humanconnectomeproject.org
Web-based repository and analysis site for connectivity matrices that have been derived from neuroimaging data including different imaging modalities, subject groups, and studies. Users can analyze connectivity matrices that have been shared publicly and upload their own matrices to share or analyze privately.
Proper citation: USC Multimodal Connectivity Database (RRID:SCR_012809) Copy
http://sourceforge.net/projects/meanmachine/
This software can be used to analyze EEG data either using a graphical interface (GUI) or using Matlab scripts, which make use of the functions provided by the MeanMachine. As compared to other libraries, MeanMachine can handle even very large data sets like, for example, 256 channels recorded at 2KHz.
Proper citation: Mean Machine (RRID:SCR_013103) Copy
http://sourceforge.net/projects/liversegm/
A set of tools for the processing of liver images. These tools consist of a level set based variational approach that incorporates shape priors and appearance models. It uses ITK-SNAP 1.4 as interface. The tools are capable of automatic liver segmentation and semi-automatic injury segmentation.
Proper citation: LiverSegm (RRID:SCR_013108) Copy
http://www.nitrc.org/projects/biomag_group/
THIS RESOURCE IS NO LONGER IN SERVICE, documented December 11, 2015. A discussion group for those actively involved in research into, or applications of, biomagnetism and magnetoencephalography (MEG).
Proper citation: Biomag Discussion Group on Yahoo (RRID:SCR_014089) Copy
http://www.nitrc.org/projects/aperture/
A MATLAB-based toolbox for analysis of EEG, MEG, and ECoG data. APERTURE allows flexible multivariate analysis of ERPs and oscillatory activity and supports mass-univariate analysis with advanced statistical tests. Computations are accelerated using parallel computing supported through the MATLAB distributed computing toolbox. Examination of large, high-dimensional datasets is made simple through data visualization tools, including advanced plotting routines and generation of PDF reports with many figures.
Proper citation: APERTURE (RRID:SCR_014082) Copy
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