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

A community for the discussion of functional connectivity and all related topics. This includes discussion of related tools, data sets, methodological discussion, related websites and publications, etc.

Proper citation: Functional Connectivity Community (RRID:SCR_009480) Copy   

•   Source: SciCrunch Registry

https://wiki.nci.nih.gov/display/caGWAS/caGWAS

Too that allows researchers to integrate, query, report, and analyze significant associations between genetic variations and disease, drug response or other clinical outcomes. SNP array technologies make it possible to genotype hundreds of thousands of single nucleotide polymorphisms (SNPs) simultaneously, enabling whole genome association studies. Within the Clinical Genomic Object Model (CGOM), the caIntegrator team created a domain model for Whole Genome Association Study Analysis. CGOM-caGWAS is a A semantically annotated domain model that captures associations between Study, Study Participant, Disease, SNP Association Analysis, SNP Population Frequency and SNP annotations. caGWAS APIs and web portal provide: * a semantically annotated domain model, database schema with sample data, seasoned middleware, APIs, and web portal for GWAS data; * platform and disease agnostic CGOM-caGWAS model and associated APIs; * the opportunity for developers to customize the look and feel of their GWAS portal; * a foundation of open source technologies; * a well-tested and performance-enhanced platform, as the same software is being used to house the CGEMS data portal; * accelerated analysis of results from various biomedical studies; and * a single application through which researchers and bioinformaticians can access and analyze clinical and experimental data from a variety of data types, as caGWAS objects are part of the CGOM, which includes microarray, genomic, immunohistochemistry, imaging, and clinical data.

Proper citation: caGWAS (RRID:SCR_009617) Copy   

•   Source: SciCrunch Registry

http://www.slicer.org/slicerWiki/index.php/Slicer3:Module:Rician_Noise_Removal

Two Slicer3 modules removing rician noise in diffusion tensor MRI

Proper citation: Slicer3 Module Rician noise filter (RRID:SCR_009614) Copy   

•   Source: SciCrunch Registry

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

Geometry format under the Neuroimaging Informatics Technology Initiative (NIfTI). Basically, it is the surface-file format complement to the NIfTI volume-file format .nii. Programs which support the Gifti format, intended to allow exchange of each others surface files, include: Freesurfer, Caret, BrainVISA, Brain Voyager, CRkit, VisTrails and AFNI.

Proper citation: GIFTI (RRID:SCR_009579) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/dave1

Software application that has been designed to facilitate rapid and flexible visualization from neuroanatomically segmented results.

Proper citation: SVV (RRID:SCR_009613) Copy   

•   Source: SciCrunch Registry

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

Infrastructure for data aggregation, processing, and management in multi-dimensional medical imaging research (i.e., MRI, CT, PET). NeuroWeb is designed for rapid deployment on a small/moderate scale with limited hardware.

Proper citation: NeuroWeb - NeuroImaging Database (RRID:SCR_009610) Copy   

•   Source: SciCrunch Registry

http://www.easyneuroimaging.com/

Blog presenting some scripts that can be used to facilitate and automate processing and analysis of brain data. In addition, it could be helpful explaining non clear stages and steps of brain data processing using some software such as; Freesurfer, FSL, Brainvoyager QX... At the moment, there are more than 10 applescripts in the main website http://www.easyneuroimaging.com that control different tools and commands (aparcstats2table, asegstats2table, BET, dcm2nii, FIRST, fslsplit, fslswapdim, fslview, mri_convert, Qdec, Recon-all, SIENAX, tkmedit, tksurfer)

Proper citation: Neuroimaging Made Easy Blog (RRID:SCR_009611) Copy   

•   Source: SciCrunch Registry

http://erpinfo.org/erplab

A set of open source, freely available Matlab routines for analyzing Event Related Potential (ERP) data. It is tightly integrated with the EEGLAB Toolbox. ERPLAB routines can be accessed from the Matlab command window and from Matlab scripts in addition to being accessed from the EEGLAB GUI. Consequently, ERPLAB provides the ease of learning of a GUI-based system but also provides the power and flexibility of a scripted system.The development of ERPLAB Toolbox is being coordinated by Steve Luck and Javier Lopez-Calderon at the UC-Davis Center for Mind & Brain, with financial support from NIMH.

Proper citation: ERPLAB (RRID:SCR_009574) Copy   

•   Source: SciCrunch Registry

http://www.sourcesignal.com/

A technically supported modular platform for space-time-frequency analyses of EEG/MEG/ECoG integrated (optionally) with structural MRI and functional hemodynamic measures (fMRI and NIRS). The Locator module uses Polhemus devices to acquire 3D sensor coordinates. Data Editor provides pipelines of spatial and temporal filters, and easy-to-use event pipelines for conditional binning of time, frequency, and time-frequency data across participants, with group results. Coherence, phase synchronication, and quasi-causal information assess connectivity. Source Estimator enables modeling of discrete overdetermined and distributed underdetermined sources, and spatial filtering for 3D brain regions of interest. Statistical nonparametric mapping (SnPM) may be performed for all measures. MR Viewer and Image Processor comprise tools for BEM and FEM volume conductor models, using cortical source space models. See http://www.sourcesignal.com/Features_EMSE_550.pdf for details and a supported free trial.

Proper citation: EMSE Suite (RRID:SCR_009571) Copy   

•   Source: SciCrunch Registry

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

Software that uses a novel statistical-learning technique to segment brain regions of interest (ROIs) based on a training set of data and generates 3D MRI volumes. The software comes pre-trained on a provided data set but can be retrained to work with your desired regions of interest.

Proper citation: LONI Brain Parser (RRID:SCR_009572) Copy   

•   Source: SciCrunch Registry

http://www.magventure.com

A complete line of non-invasive magnetic stimulation systems designed for clinical examinations and for research in the areas of neurophysiology, neurology, cognitive neuroscience, rehabilitation and psychiatry.

Proper citation: MagVenture: MagPro Magnetic Stimulator (RRID:SCR_009601) Copy   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

http://www.distributome.org/

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   

•   Source: SciCrunch Registry

http://www.slicer.org/slicerWiki/index.php/Documentation/Nightly/Extensions/DTIProcess

A DTI processing and analysis toolkit developed in UNC and University of Utah. Tools in this toolkit include dtiestim, dtiprocess, dtiaverage, fibertrack, fiberprocess, et al..

Proper citation: DTIProcess ToolKit (RRID:SCR_009561) Copy   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry