Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
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.
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
https://www.mbfbioscience.com/neuroinfo
Software for automatic identification and delineation of brain regions within experimental mouse brain sections. NeuroInfo registers serial section images of any orientation to Allen Mouse Brain Atlas, corrects for distortion due to histological processing, delineates anatomies in experimental section, and detects and reports on cell number within selected anatomies.
Proper citation: NeuroInfo (RRID:SCR_017346) Copy
https://github.com/zuoxinian/CCS
Software tool for multimodal human brain imaging data analysis. Computational pipeline for discovery science of human brain connectomes at macroscale with multimodal magnetic resonance imaging technologies.
Proper citation: Connectome Computation System (RRID:SCR_017342) Copy
https://github.com/cwatson/braingraph/
Software R package for performing graph theory analyses of brain MRI data.
Proper citation: brainGraph (RRID:SCR_017260) Copy
https://www.ibis-network.org/index.html
Research study of brain development in infants and children with autism. Consortium of researchers across North America that work together to discover early changes in brain development of young children with autism. Participants will travel to their closest study location to receive developmental and behavioral assessments, MRI scan of the brain. Participants will be reimbursed for travel and related expenses. Families of children at high risk for developing symptoms of autism will receive assistance with referrals for local services. check if data repository is in the papers
Proper citation: IBIS Network (RRID:SCR_017399) Copy
http://www.brainimagelibrary.org
Public, NIH-funded repository and analysis ecosystem for brain microscopy data, designed to store, share, and process massive volumetric datasets. It enables researchers to access whole-brain images, neuron morphologies, and spatial data without needing to download, fostering collaborative discovery. Used to deposit, analyze, mine, share and interact with large brain image datasets.
Proper citation: Brain Image Library (RRID:SCR_017272) Copy
https://github.com/Mark-Kramer/Seizure-Waves
Analysis and modeling code for waves of seizure activity.
Proper citation: Seizure-Waves (RRID:SCR_017455) Copy
Metadata management system built for EBRAINS. Multi modal metadata store which brings together information from different areas of Human Brain Project as well as from external partners. Graph database tracks linkage between experimental data and neuroscientific data science supporting more extensive data reuse and complex computational research.Supports rich terminologies, ontologies and controlled vocabularies. Built by design to support iterative elaborations of common standards and supports these by probabilistic suggestion and review systems.
Proper citation: EBRAINS Knowledge Graph (RRID:SCR_017612) Copy
The SenseLab Project is a long-term effort to build integrated, multidisciplinary models of neurons and neural systems. It was founded in 1993 as part of the original Human Brain Project, which began the development of neuroinformatics tools in support of neuroscience research. It is now part of the Neuroscience Information Framework (NIF) and the International Neuroinformatics Coordinating Facility (INCF). The SenseLab project involves novel informatics approaches to constructing databases and database tools for collecting and analyzing neuroscience information, using the olfactory system as a model, with extension to other brain systems. SenseLab contains seven related databases that support experimental and theoretical research on the membrane properties: CellPropDB, NeuronDB, ModelDB, ORDB, OdorDB, OdorMapDB, BrainPharmA pilot Web portal that successfully integrates multidisciplinary neurocience data.
Proper citation: SenseLab (RRID:SCR_007276) Copy
https://www.msu.edu/~brains/brains/human/index.html
A labeled three-dimensional atlas of the human brain created from MRI images. In conjunction are presented anatomically labeled stained sections that correspond to the three-dimensional MRI images. The stained sections are from a different brain than the one which was scanned for the MRI images. Also available the major anatomical features of the human hypothalamus, axial sections stained for cell bodies or for nerve fibers, at six rostro-caudal levels of the human brain stem; images and Quicktime movies. The MRI subject was a 22-year-old adult male. Differing techniques used to study the anatomy of the human brain all have their advantages and disadvantages. Magnetic resonance imaging (MRI) allows for the three-dimensional viewing of the brain and structures, precise spatial relationships and some differentiation between types of tissue, however, the image resolution is somewhat limited. Stained sections, on the other hand, offer excellent resolution and the ability to see individual nuclei (cell stain) or fiber tracts (myelin stain), however, there are often spatial distortions inherent in the staining process. The nomenclature used is from Paxinos G, and Watson C. 1998. The Rat Brain in Stereotaxic Coordinates, 4th ed. Academic Press. San Diego, CA. 256 pp
Proper citation: Human Brain Atlas (RRID:SCR_006131) Copy
http://www.nih.gov/science/brain/
Project aimed at revolutionizing understanding of human brain, to show how individual cells and complex neural circuits interact, enable rapid progress in development of new technologies and data analysis tools to treat and prevent brain disorders. BRAIN Initiative encourages collaborations between neurobiologists and scientists from disciplines such as statistics, physics, mathematics, engineering, and computer and information sciences. Institutes and centers contributing to NIH BRAIN Initiative support those research efforts.
Proper citation: BRAIN Initiative (RRID:SCR_006770) Copy
http://www.neuroethics.ubc.ca/
It is an interdisciplinary research group dedicated to tackling the ethical, legal, policy and social implications of frontier technological developments in the neurosciences. Our objective is to align innovations in the brain sciences with societal, cultural and individual human values through high impact research, education and outreach. The Core''s major research projects are focused on high impact, high visibility areas including the use of drugs and devices for neuroenhancement, ethics in neurodegenerative disease and regenerative medicine research, international and cross-cultural challenges in brain research, neuroimaging in the private sector, and the ethics of personalized medicine, among others. Members of the Core also lead initiatives aside from their research projects. Sponsors: This Core is supported by the University of Brititsh Columbia.
Proper citation: UBC National Core for Neuroethics (RRID:SCR_008063) Copy
A toolbox for the Matlab environment designed to study functional and effective brain connectivity from neurophysiological data such as multivariate EEG and/or MEG records. It includes also visualization tools and statistical methods to address the problem of multiple comparisons. This toolbox may be very helpful to all the researchers working in the emerging field of brain connectivity analysis.
Proper citation: HERMES (RRID:SCR_009584) Copy
Can't find your Tool?
We recommend that you click next to the search bar to check some helpful tips on searches and refine your search firstly. Alternatively, please register your tool with the SciCrunch Registry by adding a little information to a web form, logging in will enable users to create a provisional RRID, but it not required to submit.
Welcome to the nidm-terms Resources search. From here you can search through a compilation of resources used by nidm-terms and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that nidm-terms has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.
If you have an account on nidm-terms then you can log in from here to get additional features in nidm-terms such as Collections, Saved Searches, and managing Resources.
Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:
You can save any searches you perform for quick access to later from here.
We recognized your search term and included synonyms and inferred terms along side your term to help get the data you are looking for.
If you are logged into nidm-terms you can add data records to your collections to create custom spreadsheets across multiple sources of data.
Here are the sources that were queried against in your search that you can investigate further.
Here are the categories present within nidm-terms that you can filter your data on
Here are the subcategories present within this category that you can filter your data on
If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.