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http://www.megimaging.com/

A software program for source imaging Magnetoencephalographic data. Now MEG tools has added Imaged Coherence mapping, Talairach and MNI coordinates, Grainger Causality. MEG Tools also includes MR-FOCUSS, ECD, Beamformers and many other useful MEG tools. This is a Matlab-based software module that is used to image MEG data onto a patient's MRI. This software imports all MEG manufacture's data (4D-Neuroimaging/BTi, CTF and Neuromag/Elekta).

Proper citation: MEG Tools (RRID:SCR_000661) Copy   

•   Source: SciCrunch Registry

http://www.loni.usc.edu/Software/Debabeler

Software to manage the conversion of imaging data from one file format and convention to another. It consists of a graphical user interface to visually program the translations, and a data translation engine to read, sort and translate the input files, and write the output files to disk. The data translation engine: (1) Reads metadata from a set of image files on disk to identify the source that produced each file; (2) Groups the image files into user-defined collections using image metadata values; (3) Translates each image file collection by reading metadata and pixel data and mapping the data into the appropriate output file format through a programmable set of connected modules. The Debabeler uses the Java Image I/O Plugin Architecture to read and write a wide variety of common medical image file formats, including ANALYZE, MINC, and most variations of DICOM.

Proper citation: LONI Debabeler (RRID:SCR_001160) Copy   

•   Source: SciCrunch Registry

http://labs.nri.ucsb.edu/reese/benjamin/SA3D.html

A user-friendly, graphical user interface (GUI) that allows statistical and visual manipulations of real and simulated three-dimensional spatial point patterns. The analyses use files containing sets of X, Y, Z coordinates. These point patterns are frequently coordinates of cells of specific cell classes within in volumes of tissue derived from microscopy analyses. The analyses are scale independent so spatial analyses of coordinates from larger and smaller scale distributions are possible. The software can also generate sample sets of X, Y, Z coordinates for program exploration and modeling purposes.

Proper citation: Spatial Analysis 3D (RRID:SCR_002563) Copy   

•   Source: SciCrunch Registry

http://www.cise.ufl.edu/~tichen/ShapeComplexAtlas.zip

A Matlab demo for constructing a neuro-anatomical shape complex atlas from 3D MRI brain structures, based on the paper Ting Chen, Anand Rangarajan, Stephan J. Eisenschenk and Baba C. Vemuri, Construction of a Neuroanatomical Shape Complex Atlas from 3D MRI Brain Structures. In NeuroImage, Volume 60, Page 1778-1787, 2012

Proper citation: ShapeComplexAtlas (RRID:SCR_002553) Copy   

•   Source: SciCrunch Registry

http://www.na-mic.org/Wiki/index.php/UNC_SPHARM-PDM_Tutorial

Software tool that computes point-based models using a parametric boundary description for the computing of Shape analysis. The point-based models computed with the SPHARM-PDM tool can be used in combination with the also UNC designed statistical tool shapeAnalysisMANCOVA to perform quantitative morphological assessment of structural changes at speci?c locations. Shape analysis has become of increasing interest to the medical community due to its potential to precisely locate morphological changes between healthy and pathological structures.

Proper citation: SPHARM-PDM Toolbox (RRID:SCR_002546) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/wmtrainer/

A stand-alone axecutable under all main Windows OS for training the working memory. The WM Trainer looks and behaves a little bit like a video-game and has been specifically conceived for children attending the primary school. However, it can be used purposefully by people of any age, including adult and elderly. This application features highest graphic quality, a powerful adaptive engine for the difficulty level, a database of users and statistical tools to evaluate the progress. Currently English, French and Italian are supported, but any language can be easily supported.

Proper citation: Working Memory Trainer (RRID:SCR_002617) Copy   

•   Source: SciCrunch Registry

http://scikit-learn.org/

scikit-learn: machine learning in Python

Proper citation: scikit-learn (RRID:SCR_002577) Copy   

•   Source: SciCrunch Registry

http://www.loni.usc.edu/Software/ProvenanceEditor

A self-contained, platform-independent application that automatically extracts the provenance information from an image header (such as a DICOM image) and generates a data provenance XML file with that information.

Proper citation: LONI Provenance Editor (RRID:SCR_002483) Copy   

•   Source: SciCrunch Registry

http://tarquin.sourceforge.net/

An analysis tool for automatically determining the quantities of molecules present in NMR spectroscopic data. The intended purpose of TARQUIN is to aid the characterisation of pathologies, in particular brain tumours, both non-invasively with in-vivo 1H MRS and ex-vivo with 1H HR-MAS. TARQUIN has the following features: * Free to use and modify under the GPL licence. * Based on a flexible time-domain fitting routine designed to give accurate rapid and automated quantitation for routine analysis. * Cross platform, works on Windows, Linux and OSX. * Comes packaged with a quantum mechanically based metabolite simulator to allow basis set construction optimised for the investigation of particular pathologies sequence parameters. * Includes both GUI and command line interface for one-off and batch analyses.

Proper citation: TARQUIN (RRID:SCR_002598) Copy   

•   Source: SciCrunch Registry

http://www.psychopy.org

Open source application to allow the presentation of stimuli and collection of data for a wide range of neuroscience, psychology and psychophysics experiments. It is intended as a free, powerful alternative to Presentation or e-Prime.

Proper citation: PsychoPy (RRID:SCR_006571) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/maps4mipav/

The exploratory development tree of Java Image Science Toolkit (JIST), an extension to the MIPAV (Medical Image Processing, Analysis, and Visualization) plug-in framework that allows the user to design and execute pipelines, which are multi-stage processing tasks.. New features and designs are tested here before general release into the JIST project. JIST was formerly known as the MedIC Automated Pipeline Scheduler (MAPS).

Proper citation: Maps4Mipav (Exploratory JIST) (RRID:SCR_000613) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/randomwalks/

A simple interface to simulate Brownian motion in arbitrary, complex environments. The analysis routines enable visualization of these models with DTI, q-space, and higher order diffusion weighted MRI.

Proper citation: DW-MRI Random Walk Simulator (RRID:SCR_006652) Copy   

•   Source: SciCrunch Registry

http://mcx.sourceforge.net/

A Monte Carlo simulation software for photon migration in 3D turbid media. It uses Graphics Processing Units (GPU) based massively parallel computing techniques and is extremely fast compared to the traditional single-threaded CPU-based simulations. Using an nVidia 8800GT graphics card (14MP/114Cores), the acceleration is about 300x~400x compared to a single core of Xeon 5120 CPU; this ratio can be as high as 700x with a GTX 280 GPU and 1400x with a GTX 470.

Proper citation: Monte Carlo eXtreme (RRID:SCR_007001) Copy   

•   Source: SciCrunch Registry

http://www.birncommunity.org/collaborators/function-birn/

The FBIRN Federated Informatics Research Environment (FIRE) includes tools and methods for multi-site functional neuroimaging. This includes resources for data collection, storage, sharing and management, tracking, and analysis of large fMRI datasets. fBIRN is a national initiative to advance biomedical research through data sharing and online collaboration. BIRN provides data-sharing infrastructure, software tools, strategies and advisory services - all from a single source.

Proper citation: Function BIRN (RRID:SCR_007291) Copy   

•   Source: SciCrunch Registry

https://github.com/BlueBrain/BluePyOpt

An extensible framework for data-driven model parameter optimization that wraps and standardizes several existing open-source tools. BluePyOpt abstracts the optimization and evaluation tasks into various reusable and flexible discrete elements according to established best-practices. It also provides methods for setting up both small- and large-scale optimizations on a variety of platforms.

Proper citation: BluePyOpt (RRID:SCR_014753) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/laplacebeltrami/

A filter which allows the Laplace-Beltrami operator to determine surface harmonics in terms of PointData at each vertex. It determines the requested N most significant harmonics of a surface.

Proper citation: Laplace Beltrami Filter on QuadEdge Meshes (RRID:SCR_014133) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/best/

A toolbox that implements several EEG/MEG source localization techniques within the Maximum Entropy on the Mean (MEM) framework. These methods are particularly dedicated to estimate accurately the source of EEG/MEG generators together with their spatial extent along the cortical surface.

Proper citation: Brain Entropy in space and time (BEst) (RRID:SCR_014090) Copy   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry