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

Project to discuss, debate, develop and deploy ontological practices for the fMRI community.

Proper citation: Resource Ontology Discussion Group (RRID:SCR_002536) Copy   

•   Source: SciCrunch Registry

http://nipy.org/nibabel/

A Python package for reading and writing a variety of medical and neuroimaging file formats. This includes: ANALYZE (plain, SPM99, SPM2), NIfTI1, as well as MINC. NiBabel is the successor of PyNIfTI.

Proper citation: NiBabel (RRID:SCR_002498) Copy   

•   Source: SciCrunch Registry

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

Matlab script that uses the Pythagorean Theorem to calculate head motion and position, while preserving degrees of freedom. The motion parameters output by SPM (rp*.txt) estimate head position relative to the first volume in 3D translation and 3D rotation, which are often entered as a nuisance regressor during individual-level statistics. Regressing the total displacement and relative position can potentially explain more variance in voxel-level BOLD signals that is related to head movement during an fMRI experiment.

Proper citation: Pythagorean Displacement and Motion Regressors (RRID:SCR_002525) Copy   

•   Source: SciCrunch Registry

http://www.sdmproject.com/

Statistical method and software for conducting image- and coordinate-based meta-analysis of neuroimaging studies investigating differences in brain activity (e.g. BOLD response in fMRI, metabolism in PET) or structure (e.g. gray matter volume in VBM, voxel-based or TBSS white matter fractional anisotropy in DTI, etcetera).

Proper citation: Signed Differential Mapping (RRID:SCR_002554) Copy   

•   Source: SciCrunch Registry

http://www.trianglebiosystems.com/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 14,2026. A biomedical device company focused on developing and manufacturing neural hardware solutions for application in medical research using animals when bio-monitoring, recording and stimulation functions are needed. * Neural Recording Equipment * Neural Stimulation Equipment * Data Acquisition Hardware and Software

Proper citation: Triangle BioSystems (RRID:SCR_002603) Copy   

•   Source: SciCrunch Registry

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

An open-source software project for distributed Tetrahedral Mesh Modeling and Analysis (TMMA) of multidimensional data. Tetrahedra are 3D, space filling, geometric objects that can be used to form representations and partitions of objects like volumes and shapes obtained from biomedical images (e.g., 3D MRI brain images). Tetrahedra are a natural extension of lines (1D) and surface triangulations (2D) which enable finite element analysis of irregular shapes, and permit a greater range of morphometric characterization of multidimensional objects. A beta version of the program is available for download. Please see the very brief instructions on the "Docs" tab on the left.

Proper citation: TetraMetrix (RRID:SCR_002601) Copy   

•   Source: SciCrunch Registry

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

A free software tool for Copy Number Variation (CNV) detection from SNP genotyping arrays. Currently it can handle signal intensity data from Illumina and Affymetrix arrays. With appropriate preparation of file format, it can also handle other types of SNP arrays and oligonucleotide arrays. PennCNV implements a hidden Markov model (HMM) that integrates multiple sources of information to infer CNV calls for individual genotyped samples. It differs form segmentation-based algorithm in that it considered SNP allelic ratio distribution as well as other factors, in addition to signal intensity alone. In addition, PennCNV can optionally utilize family information to generate family-based CNV calls by several different algorithms. Furthermore, PennCNV can generate CNV calls given a specific set of candidate CNV regions, through a validation-calling algorithm.

Proper citation: PennCNV (RRID:SCR_002518) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/plugins/mwiki/index.php/webmscaleapi:MainPage

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 13, 2026. Venue for discussing and defining standard web interfaces for sharing images, annotations, and analyses of multiscale biological images. The goal is to increase interoperability of code to share the burden of infrastructure, increase code reuse, and allow us to spend more time focused on scientific questions. Please visit our Wiki to start participating. Together we can develop a small group of interfaces which are easy to implement, extensible, and cover the major tasks of developing tools for multiscale data on the web.

Proper citation: Web Interfaces for Multiscale Images (RRID:SCR_002589) Copy   

•   Source: SciCrunch Registry

http://www.osmicenterprises.com

A computerized, odor delivery device that can be used for basic research applications including mapping olfactory centers, cognitive / learning research, neuro-marketing among other uses. Additional products including tests for odor threshold, odor identification, odor discrimination and odor memory.

Proper citation: OEI: fMRI compatible olfactometer (RRID:SCR_002507) Copy   

•   Source: SciCrunch Registry

http://www.LONI.usc.edu/Software/ShapeViewer

Java-based geometry viewer that supports file formats used by Center for Computational Biology (CCB) researchers and provides necessary viewing functions. ShapeViewer uses ShapeTools library support to read and display LONI Ucf, VTX XML, FreeSurfer, Minc Obj (both binary and ascii), Open Dx, Gifti, and OFF format data files.

Proper citation: LONI ShapeViewer (RRID:SCR_002695) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/bash-rs-fcmri

THIS RESOURCE IS NO LONGER IN SERVICE, documented July 23, 2015. Of note: most functions have been integrated in 1000 Functional Connectomes Project (www.nitrc.org/projects/fcon_1000). This package is not updated, thus please visit 1000 Functional Connectomes Project site and download relevant bash scripts. BASH Scripts for a resting-state functional MRI study. The functions include seed-based correlation analysis, amplitude analysis and independent component analysis. Note: this tool is just a plug-in for FSL, AFNI and FreeSurfer. Thus, you need have them before you use BASH4RfMRI.

Proper citation: BASH4RfMRI (RRID:SCR_005970) Copy   

•   Source: SciCrunch Registry

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

Scribe encodes papers to populate the BrainMap Database

Proper citation: Scribe (RRID:SCR_000423) Copy   

•   Source: SciCrunch Registry

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

An I/O library for Matlab/Octave Matlab and Octave library for reading and writing Nifti-1 files. cbiNifti is intended to be a small, self-contained library that makes minimal assumptions about what Nifti files should look like and allow users easy access to the raw data. cbiNifti handles compressed file formats for reading and writing, using Unix pipes for compression and decompression. More information and code examples at: http://www.pc.rhul.ac.uk/staff/J.Larsson/software.html

Proper citation: cbiNifti: Matlab/Octave Nifti library (RRID:SCR_000860) Copy   

•   Source: SciCrunch Registry

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

Construct and analyse brain network is a brain network visualization tool, which can help researchers to visualize construct and analyse resting state functional brain networks from different levels in a quick, easy and flexible way. Entrance parameter of construct and analyse brain network is export parameters of dparsf software.It would be greatly appreciated if you have any suggestions about the package or manual.

Proper citation: BrainNetworkConstructionAnalysisPlatform (RRID:SCR_000854) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/niftysim/

A high-performance nonlinear finite element solver. A key feature is the option of GPU-based execution, which allows the solver to significantly out-perform equivalent commercial packages.

Proper citation: NiftySim (RRID:SCR_006591) Copy   

•   Source: SciCrunch Registry

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

Web game that provides an innovative infrastructure for labeling to enable an alternative to expert raters for medical image labeling through statistical analysis of the collaborative efforts of many, minimally-trained raters. Statistical atlases of regional brain anatomy have proven to be extremely useful in characterizing the relationship between the structure and function of the human nervous system. Typically, an expert human rater manually examines each slice of a three-dimensional volume. This approach can be exceptionally time and resource intensive, so cost severely limits the clinical studies where subject-specific labeling is feasible. Methods for improved efficiency and reliability of manual labeling would be of immense benefit for clinical investigation into morphological correlates of brain function.

Proper citation: Web Game for Collaborative Labeling (RRID:SCR_006685) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/polgui/

An interface between MATLAB and the Polhemus Fastrak digitizer used to digitize fiducial locations and scalp EEG electrode locations. There are 5 versions all of which work under MATLAB R14 (on both linux and windows platforms), # polgui_ver1_r14 : works with 1 receiver (stylus pen) # polgui_ver2_r14 : works with 2 receivers (including the pen) # polgui_ver3_r14 : works with 3 receivers(including the pen) # polgui_ver4_r14 : works with 4 receivers (including the pen) # polgui_ver5_r14 : Generic version which works with 1/2/3/4 receivers (WARNING: Ver 5 might be buggy; not fully tested) Requirements: MATLAB R14 (Linux/Windows)

Proper citation: POLGUI - Matlab Polhemus Interface (RRID:SCR_006752) Copy   

•   Source: SciCrunch Registry

http://www.cns.atr.jp/dni/en/downloads/tools-for-brain-behavior-data-sharing/

This is MATLAB library to create Neuroshare data format. You can convert your own data into Neuroshare format file.

Proper citation: Matlab Neuroshare Library (RRID:SCR_006957) Copy   

•   Source: SciCrunch Registry

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

An end-to-end pipeline for corpus callosum processing that provides automated midsagittal alignment, CC segmentation with a quality control tool, and thickness profile generation. Groupwise analysis is facilitated by permutation testing with FWER and FDR multiple comparison correction. Results display is facilitated by a display script that shows p-values on a 3D pipe representation of a CC. This pipeline is implemented in MATLAB and requires the Image Processing Toolbox. There are plans to implement it completely in Python.

Proper citation: Corpus Callosum Thickness Profile Analysis Pipeline (RRID:SCR_003575) Copy   

•   Source: SciCrunch Registry

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

Software to: view dicom files and assemble them into 3D volumes. View and convert between Analyze, Nifti, and Interfile. Classify and organize dicoms and 3D volumes using metadata. Search and report on a collection of scans.

Proper citation: DIAMOND (RRID:SCR_009457) Copy   

•   Source: SciCrunch Registry