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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/magdande
A variety of MEG- and fMRI-compatible hardware for research use including typical response collection devices such as joysticks, response pads, mice, as well as stimulation devices such as vibrotactile stimulators, olfactometers, and pressure/force generators. The company also offers custom design and production services for many different applications.
Proper citation: Mag Design and Engineering (RRID:SCR_009600) Copy
An open-source, open content-development project for exploring, discovering, navigating, learning, and computational utilization of diverse probability distributions.
Proper citation: Distributome (RRID:SCR_009564) Copy
http://www.nitrc.org/projects/probbiascor/
A multichannel capable tool for probabilistic inhomogeneity correction implemented as both a standalone command line tool and a Slicer3 module.
Proper citation: ProbabilisticBiasCorrection (RRID:SCR_009638) Copy
http://www.nitrc.org/projects/pobe/
Computer program that provides a graphical user interface for fMRI researchers to easily and efficiently design their blocked experiments. The computer program POBE calculates the optimal number of subjects and the optimal scanning time for user specified experimental factors and model parameters so that the statistical efficiency is maximised for a given study budget. POBE can also be used to determine the minimum budget for a given power. Furthermore, a maximin design can be determined as efficient design for a possible range of values for the unknown model parameters.
Proper citation: Program for optimal design of blocked fMRI experiments (RRID:SCR_009639) Copy
http://www.nitrc.org/projects/dl_dataset/
Script which points browser to Nathan Kline Institute (NKI) Rockland Sample.
Proper citation: Rockland Download Link Script (RRID:SCR_009513) Copy
http://www.nitrc.org/projects/cogicat/
While the traditional temporally concatenated Group ICA (TC-GICA) adopting three steps of PCA reduction, it could result in inconsistent and variable components when different subject orders were used, both for the group- and individual-level results. Such instability can further cause instable and thus unreliable statistical results. Subject Order-Independent Group ICA (SOI-GICA) aims to fix this problem by producing stable and reliable GICA results. For details please see the paper Subject Order-Independent Group ICA (SOI-GICA) for Functional MRI Data Analysis (Zhang et al., 2010, NeuroImage)(http://dx.doi.org/10.1016/j.neuroimage.2010.03.039). MICA is the toolbox inplemented SOI-GICA for convenience of usage.
Proper citation: Subject Order-Independent Group ICA (RRID:SCR_009514) Copy
http://www.nitrc.org/projects/pnve/
A self-contained virtual machine that can be executed on a common laptop or desktop, enabling the Pipeline to run virtually anywhere. Neophytes to the Pipeline can have their own private server running in minutes, software engineers and workflow designers can use the PNVE as a sandbox, and those without access to grid computing facilities can now take full advantage of the Pipeline processing environment.
Proper citation: Pipeline Neuroimaging VirtualEnvironment (RRID:SCR_009635) Copy
http://www.nitrc.org/projects/brainnet_2013/
Tool that associates localized white matter (WM) lesions with disruptions in gray matter connectivity as a step toward understanding the lesions? functional implications. A Tractogram Reference Set (TRS), i.e. collections of white matter fibers, is constructed from 73 normal healthy individuals and coregistered to a common space (MNI). The NeMo Tool uses the TRS to assess structural network disruption due to a particular WM lesion mask on a region and network-wise level. This tool is an easy way for researchers and clinicians to investigate changes in the structural brain network without having to perform tractography on their own normal data or on diseased/injured brains where the results may not represent the underlying physiology.
Proper citation: Network Modification Tool Lite (RRID:SCR_009511) Copy
http://www.unicog.org/pm/pmwiki.php/MEG/RemovingArtifactsWithADJUST
A completely automatic algorithm for artifact identification and removal in EEG data. ADJUST is based on Independent Component Analysis (ICA), a successful but unsupervised method for isolating artifacts from EEG recordings. ADJUST identifies artifacted ICA components by combining stereotyped artifact-specific spatial and temporal features. Features are optimised to capture blinks, eye movements and generic discontinuities. Once artifacted IC are identified, they can be simply removed from the data while leaving the activity due to neural sources almost unaffected.
Proper citation: ADJUST (RRID:SCR_009526) Copy
https://cran.r-project.org/src/contrib/Archive/brainwaver/
Characterization of small-world networks constructed from wavelet analysis of resting fMRI. This package is currently available as an R library. Futrure development will take place within the CamBA software repository
Proper citation: Brainwaver (RRID:SCR_009540) Copy
http://www.nitrc.org/projects/ohbm_hack
A multi-day event hosted by the Organization for Human Brain Mapping which features collaborative and open neuroscience projects in data analysis and methods development. Locations change annually.
Proper citation: HBM Hackathon (RRID:SCR_014119) Copy
http://www.nitrc.org/projects/iigc/
An international symposium held initially to assess the new technology and innovation in the various established fields of genetics and imaging, and to facilitate the transdisciplinary fusion needed to optimize the development of the emerging field of Imaging Genetics. This annual conference features presentations from investigators world-wide and places emphasis on facilitating in-depth discussions among the participants and presenters.
Proper citation: International Imaging Genetics Conference (RRID:SCR_014125) Copy
http://physics.ucsd.edu/neurophysics/links.html
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 16,2023. Software suite for custom-built multiphoton microscopes available as freeware for the Wintel platform. The MPScope package features the acquisition software MPScan, analysis program MPView and several software utilities.
Proper citation: MPScope (RRID:SCR_000065) Copy
http://www.nitrc.org/projects/dwmri_in_matlab/
An on-line tutorial on how to use MATLAB for Diffusion-Weighted MRI processing. The following subjects are covered in this tutorial: Generation of Synthetic Diffusion-Weighted MRI datasets, Diffusion Tensor (DTI) Estimation from DW-MRI, DTI Visualization as a field of ellipsoids, Higher-order Diffusion Tensor Estimation from DW-MRI, Computing of Tensor Orientation Distribution Functions (Tensor ODF), Computing of Fiber Orientations, Higher-order Diffusion Tensor Image Visualization as fields of spherical functions, Multi-fiber reconstruction etc. The tutorial contains numerous illustrations, figures and Matlab scripts embedded in the text. The reader/user can automatically generate Matlab script for a self-designed DW-MRI experiment by selecting which steps needs to be followed. The code that corresponds to the selected steps is then appropriately merged in the Matlab Script Generator, and the user can easily copy and paste the produced code directly to the Matlab command prompt.
Proper citation: MATLAB Tutorial on Diffusion Tensor MRI (RRID:SCR_009507) Copy
http://www.nitrc.org/projects/carlsim/
A GPU-accelerated library for simulating large-scale spiking neural network (SNN) models with a high degree of biological detail. CARLsim allows execution of networks of Izhikevich spiking neurons with realistic synaptic dynamics on both generic x86 CPUs and standard off-the-shelf GPUs. The simulator provides a PyNN-like programming interface in C/C++, which allows for details and parameters to be specified at the synapse, neuron, and network level.
Proper citation: CARLsim: a GPU-accelerated SNN Simulator (RRID:SCR_014095) Copy
http://www.nitrc.org/projects/psics
Software for efficient generation and simulation of models containing stochastic ion channels distributed across dendritic and axonal membranes. It computes the behavior of neurons taking account of the stochastic nature of ion channel gating and the detailed positions of the channels themselves. It is designed as a complement for existing tools.
Proper citation: Parallel Stochastic Ion Channel Simulator (RRID:SCR_014159) Copy
https://github.com/bheAI/MonkeyCBP_CLI
Software toolbox for connectivity based parcellation of monkey brain. Integrated pipeline realizing tractography based brain parcellation with automatic processing and massive parallel computing. Highly automated process and high throughput performance supported by GPU option makes toolbox ready to be used by research community.
Proper citation: MonkeyCBP (RRID:SCR_017640) Copy
http://miriad.drc.ion.ucl.ac.uk/
A database of volumetric MRI brain-scans of 46 Alzheimer's sufferers and 23 healthy elderly people. Many scans were collected of each participant at intervals from 2 weeks to 2 years, the study was designed to investigate the feasibility of using MRI as an outcome measure for clinical trials of Alzheimer's treatments. It includes a total of 708 scans and should be of particular interest for work on longitudinal biomarkers and image analysis.
Proper citation: MIRIAD (RRID:SCR_002422) Copy
https://scicrunch.org/scicrunch/data/source/nlx_154697-10/search?q=*&l=
A virtual database currently indexing software and tools from the SciCrunch Registry, Neuroimaging Informatics Tools and Resources Clearinghouse (NITRC), Visiome Platform, Cerebellar Platform, Brain Machine Interface Platform, and Genetic Analysis Software (GAS).
Proper citation: Integrated Software (RRID:SCR_004745) Copy
http://www.nitrc.org/projects/pennhippoatlas/
Atlas of segmented and normalized high-resolution postmortem MRI of the human hippocampus. Additional data (raw images) is available through the SCM link. It requires knowing how to use CVS.
Proper citation: Penn Hippocampus Atlas (RRID:SCR_000421) Copy
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