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http://humanconnectome.org/connectome/connectomeDB.html
Data management platform that houses all data generated by the Human Connectome Project - image data, clinical evaluations, behavioral data and more. ConnectomeDB stores raw image data, as well as results of analysis and processing pipelines. Using the ConnectomeDB infrastructure, research centers will be also able to manage Connectome-like projects, including data upload and entry, quality control, processing pipelines, and data distribution. ConnectomeDB is designed to be a data-mining tool, that allows users to generate and test hypotheses based on groups of subjects. Using the ConnectomeDB interface, users can easily search, browse and filter large amounts of subject data, and download necessary files for many kinds of analysis. ConnectomeDB is designed to work seamlessly with Connectome Workbench, an interactive, multidimensional visualization platform designed specifically for handling connectivity data. De-identified data within ConnectomeDB is publicly accessible. Access to additional data may be available to qualified research investigators. ConnectomeDB is being hosted on a BlueArc storage platform housed at Washington University through the year 2020. This data platform is based on XNAT, an open-source image informatics software toolkit developed by the NRG at Washington University. ConnectomeDB itself is fully open source.
Proper citation: ConnectomeDB (RRID:SCR_004830) Copy
Brain Canada is a national non-profit organization that develops and supports collaborative, multidisciplinary, multi-institutional research across the neurosciences. Through partnering with the public, private and voluntary sectors, Brain Canada connects the knowledge and resources available in this area to accelerate neuroscience research and funding and maximize the output of Canada''s world-class scientists and researchers. Brain Canada was created to address the twin challenges of increasing the scale of brain research funding in Canada and widening its scope to encourage interdisciplinary collaboration to produce insights for treating multiple disorders. Brain Canada is built on the successes and model of NeuroScience Canada (NSC). Established in 1999, NSC raised more than $11.5 million, leveraged over $20 million with partnered funding, and funded 100 individual and teams of researchers in Canada. Brain Canada is the new vision for Canadian brain researchthe voice for the brain and the grouping of brain disorders, raising awareness about their prevalence and impact on individuals, families, the economy and society. But most important, through the research we are funding, we are giving hope to the millions of Canadians who are directly or indirectly touched by diseases, disorders, and injuries of the brain, spinal cord and nervous system.
Proper citation: Brain Canada (RRID:SCR_005053) Copy
https://neuroscienceblueprint.nih.gov/Resources-Tools/Blueprint-Resources-Tools-Library
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 22, 2023. National initiative to advance biomedical research through data sharing and online collaboration that provides data sharing infrastructure, software tools, strategies and advisory services. Groups may choose whether to share data internally or with external audiences. Hardware and data remain under control of individual user groups.
Proper citation: Biomedical Informatics Research Network (RRID:SCR_005163) Copy
http://sig.biostr.washington.edu/projects/MindSeer/index.html
A cross-platform application for 3D brain visualization for multi-modality neuroimaging data written in Java/Java3D, that runs in both standalone and client-server mode. It supports basic data management capabilities, visualization of 3D surfaces (SPM's output or OFF files), volumes (Analyze, NIFTI or Minc) and label sets. MindSeer has 2 different modes: # Client/Server is designed to allow users to visualize data that is stored centrally and enhance collaboration. # Standalone mode is available to view local data and is built for more performance than Client/Server Both modes have the same interface and support the same features. It has a modular architecture and is designed to be extensible. Requirements: # Java 5.0 or above. # Java Web Start. # Java3D (installed automatically by Web Start).
Proper citation: MindSeer (RRID:SCR_003019) Copy
http://www.nitrc.org/projects/tumorsim/
Simulation software that generates pathological ground truth from a healthy ground truth. The software requires an input directory that describes a healthy anatomy (anatomical probabilities, mesh, diffusion tensor image, etc) and then outputs simulation images.
Proper citation: TumorSim (RRID:SCR_002604) Copy
http://www.neuro.uni-jena.de/cat/
Software toolbox as extension to SPM12 to provide computational anatomy. This covers diverse morphometric methods such as voxel based morphometry, surface based morphometry, deformation based morphometry, and region or label based morphometry.
Proper citation: Computational Anatomy Toolbox for SPM (RRID:SCR_019184) Copy
https://github.com/nighres/nighres
Software package for processing of high-resolution neuroimaging data. Nighres is a community-developed project that aims to make neuroscience data tools easier to install, use and extend.
Proper citation: Nighres (RRID:SCR_016287) Copy
http://www.nitrc.org/projects/mica/
Software toolbox based on FSL command line tools that performs masked independent component analysis and related analyses in an integrated way within a spatially restricted subregion of the brain. Used for investigating functional connectivity in functional magnetic resonance imaging data in the field of neuroimaging.
Proper citation: masked ICA (mICA) Toolbox (RRID:SCR_016349) Copy
Web interface that facilitates open science for neuroscience community by simplifying global access to and sharing of datasets and tools. Portal internalizes typical data cycle of research project, beginning with data acquisition, followed by data processing with published tools, and ultimately publication of results with link to original dataset. Platform to form interactive network of collaborations in brain research, interdisciplinary student training, international partnerships, clinical translation and open publishing. Provides unified interface to Canadian neuroscience research community. Open neuroscience research with sharing of both data and methods, to create large-scale databases, development of standards for sharing, facilitation of advanced analytic strategies, open dissemination to global community of neuroscience data and methods, and establishment of training programs for next generation of computational neuroscience researchers.
Proper citation: Canadian Open Neuroscience Platform (RRID:SCR_016433) Copy
http://www.nitrc.org/projects/uf2c/
Software tool to standardize and facilitate connectivity studies through a graphical user interface and validated preset parameters.
Proper citation: User Friendly Functional Connectivity - UF²C (RRID:SCR_016550) Copy
https://doi.org/10.1016/j.neuroimage.2018.07.046
Software package for simulation framework and codes for estimating nonparametric Granger causality. Used to study brain functions.
Proper citation: nonparametricGGC_toolbox (RRID:SCR_016539) Copy
http://jefferis.github.io/nat/
Software R package for the (3D) visualisation and analysis of biological image data, especially tracings of single neurons in the context of 3D brain structures.
Proper citation: NeuroAnatomy Toolbox (RRID:SCR_016716) Copy
https://github.com/NeurophysVis/SpectraVis
Web based neuroscience application for analyzing task-related functional networks over time and frequency. Interactive visualization tool for exploring functional brain connectivity.
Proper citation: SpectraVis (RRID:SCR_016691) Copy
Software tool for data management in clinical studies to improve care for patients with Traumatic Brain Injury (TBI). Used to search and find study variables with the associated information and export study data for further analysis.
Proper citation: INCF-Neurobot (RRID:SCR_017004) Copy
https://github.com/PatternRecognition/OpenBMI
Software package for the development of Brain-Computer Interfaces with advanced pattern recognition algorithms. Used for analyzing brain signals which can be used to acquire, filter, process, classify and visualize brain signals in real time.
Proper citation: OpenBMI (RRID:SCR_016876) Copy
Provides Prism softwares and services that integrate advanced imaging into the clinical workflow for brain mapping from acquisition through processing, visualization, and export to PACS. Prism integrates functional MRI, diffusion MRI, perfusion, MR spectroscopy, and PET/CT into a unified workflow for diagnosis and treatment planning in brain disorders. Processing is also available as a cloud deployed service, Prism Serve. Research support includes import/export for imaging and derived quantitative data in both DICOM and research formats such as AFNI and Trackviz.
Proper citation: Prism Clinical Imaging (RRID:SCR_016977) Copy
Project between Inria, Inserm, CNRS, and University of Rennes for biomedical image analysis for understanding neurological disease. Used to diagnose, monitor and deliver treatment for mental, neurological and substance use disorders by establishing multidisciplinary team between information sciences and medicine in medical imaging, neuroinformatics and population cohorts.
Proper citation: Empenn (RRID:SCR_017074) Copy
https://github.com/Frederik-D-Weber/cosleep
Software Python tool for sleep EEG analysis. Used for Closed and Open loop in Slow Ocillations, Sleep Stimulation in Auditory or Recording in full PSG using OpenBCI Cyton.
Proper citation: COsleep (RRID:SCR_017053) Copy
http://neurocritic.blogspot.com/
The Neurocritic is a blog deconstructing the most sensationalistic recent findings in Human Brain Imaging, Cognitive Neuroscience, and Psychopharmacology. Born in West Virginia in 1980, The Neurocritic embarked upon a roadtrip across America at the age of thirteen with his mother. She abandoned him when they reached San Francisco and The Neurocritic descended into a spiral of drug abuse and prostitution. At fifteen, The Neurocritic''s psychiatrist encouraged him to start writing as a form of therapy.
Proper citation: Neurocritic (RRID:SCR_006528) Copy
http://cocomac.g-node.org/main/index.php?
Online access (html or xml) to structural connectivity ("wiring") data on the Macaque brain. The database has become by far the largest of its kind, with data extracted from more than four hundred published tracing studies. The main database, contains data from tracing studies on anatomical connectivity in the macaque cerebral cortex. Also available are a variety of tools including a graphical simulation workbench, map displays and the CoCoMac-Paxinos-3D viewer. Submissions are welcome. To overcome the problem of divergent brain maps ORT (Objective Relational Transformation) was developed, an algorithmic method to convert data in a coordinate- independent way based on logical relations between areas in different brain maps. CoCoMac data is used to analyze the organization of the cerebral cortex, and to establish its structure- function relationships. This includes multi-variate statistics and computer simulation of models that take into account the real anatomy of the primate cerebral cortex. This site * Provides full, scriptable open access to the data in CoCoMac (you must adhere to the citation policy) * Powers the graphical interface to CoCoMac provided by the Scalable Brain Atlas * Sports an extensive search/browse wizard, which automatically constructs complex search queries and lets you further explore the database from the results page. * Allows you to get your hands dirty, by using the custom SQL query service. * Displays connectivity data in tabular form, through the axonal projections service. CoCoMac 2 was initiated at the Donders Institute for Brain, Cognition and Behaviour, and is currently supported by the German neuroinformatics node and the Computational and Systems Neuroscience group at the Juelich research institute.
Proper citation: CoCoMac (RRID:SCR_007277) Copy
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