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.
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 joint surface based registration and atlas construction of brain geometry and function.Cortical registration framework that jointly models mismatch between geometry and function while simultaneously learning unbiased population specific atlas.
Proper citation: JOSA (RRID:SCR_024756) Copy
https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/FLIRT
Sotware automated robust and accurate tool for linear (affine) intra- and inter-modal brain image registration.
Proper citation: FMRIB's Linear Image Registration Tool (RRID:SCR_024922) Copy
https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/XTRACT
Software command line tool for automated tractography. Standardised protocols for automated tractography in human and macaque brain.
Proper citation: XTRACT (RRID:SCR_024933) Copy
https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/verbena
Software tool for quantification of perfusion and other haemodynamic parameters from Dynamic Susceptibility Contrast perfusion MRI of the brain.
Proper citation: VERBENA (RRID:SCR_024919) Copy
Research institute in Esch-sur-Alzette, Luxembourg to study brain and its diseases. Collaboration between biologists, medical and computer scientists, physicists, engineers as well as mathematicians offers new insights into complex biological mechanisms and disease processes, with the aim of developing new tools for diagnostics, prevention, and therapy. LCSB has established strategic partnerships with scientific partners worldwide and with all major biomedical research units in Luxembourg. Carries out collaborative projects with hospitals and research-oriented companies, accelerating translation of fundamental research results into clinical applications.
Proper citation: Luxembourg Centre for Systems Biomedicine (RRID:SCR_026168) Copy
Knowledge graph system developed for managing and organizing rich metadata objects, initially for the Human Brain Project (HBP) and now extended to be a more generic, domain-agnostic solution. It is associated with CSCS (Swiss National Supercomputing Centre) and aims to provide a comprehensive toolset and API for working with knowledge graphs.
Proper citation: MarmotGraph (RRID:SCR_027452) Copy
https://imaging.uci.edu/fibre/
Facility for Imaging and Brain Research houses 3T Siemens Prisma scanner, mock scanner, and data analysis facilities. Research dedicated MRI scanning facility designed to suit wide range of basic and translational research programs by researchers across the UCI campus and beyond.
Proper citation: University of California at Irvine FIBRE Core Facility (RRID:SCR_027777) Copy
Data repository where researchers can publicly store and share unthresholded statistical brain activation maps produced by MRI and PET studies.
Proper citation: NeuroVault (RRID:SCR_003806) Copy
Unit studying human cognition and the brain with about 90 researchers and postgraduate students investigating topics such as attention, emotion, language and memory. They are developing new treatments for depression, improving hearing through cochlear implants, and helping children to overcome memory problems. With a large collection of scientists engaged in both basic and translational research on the mind and brain, the Unit provides an exceptional training and academic environment that benefits postgraduate students and researchers at all levels. A significant part of their research makes use of brain imaging and they have excellent on-site facilities for magnetic resonance imaging (MRI) magnetoencephalography (MEG) and electroencephalography (EEG). They also have clinical facilities at Addenbrooke's Hospital. The Unit has close links both with the hospital and with Cambridge University.
Proper citation: MRC Cognition and Brain Sciences Unit (RRID:SCR_003818) Copy
A network for supporting resting-state fMRI (R-fMRI) related studies. It connects R-fMRI researchers (as nodes) by their sharings (as edges). Through the network, ideas, comments, resources, tools, experiences, and data can be shared. Researchers (nodes) with basic neuroscience, methodological, or clinical backgrounds can connect with each other in the network. It also contains a preprint server that allows neuroscientists to share their preprints, comment on each others research and get back valuable information about their experiments from their colleagues. This is based on the arXiv model. Ultimately, the network aims to enhance collaborations among researchers, especially to translate knowledge of basic neuroscience and methodology to clinical applications (bench to bedside).
Proper citation: RFMRI.ORG (RRID:SCR_004042) Copy
The Center for Interdisciplinary Brain Sciences Research (CIBSR) at the Stanford University School of Medicine is dedicated to research that will improve the lives and well-being of individuals with disorders of the brain and improve knowledge of healthy brain and behavioral development. CIBSR research staff are dedicated to identifying biological and environmental risk factors, understanding disease pathophysiology and developmental outcomes, and developing new treatments for neurodevelopmental, neurogenetic and neuropsychiatric disorders of childhood onset. Our research studies are truly multi/interdisciplinary as they bring together experts from the fields of psychiatry, neurology, psychology, computer science, biostatistics and genetics to explore and seek answers for complex questions related to brain-behavior relationships. Active research at CIBSR includes: * Mutlimodal imaging of the brain utilizing anatomical and functional magnetic resonance imaging (MRI), diffusion tensor imaging (DTI) and magnetic resonance spectroscopy (MRS). * Behavioral, cognitive, and physiological assessment to address questions concerning the influence of biological and environmental factors on outcome. * The development of new biological and cognitive-behavioral treatments. * Development of brain image analysis methods and software.
Proper citation: Stanford University, Center for Interdisciplinary Brain Sciences Research (RRID:SCR_004134) Copy
Cre expressing mice under the control of promoters with a design focus on the brain. Each promoter is derived from human sequence, but the resulting expression is assessed in the mouse for the activation of a LacZ reporter gene by the Cre activity. Promoters tested as large MaxiPromoters (BACs inserted into the mouse genome) and MiniPromoters (plasmid-based sequences inserted either into the mouse genome or introduced within AAV viruses). The Cre-related project continues from the Pleiades Promoter Project. Here is the list of genes for which icre/ERT2 mice are currently in development: AGTR1, CARTPT, CLDN5, CLVS2, CRH, GABRA6, HTR1A, HTR1B, KCNA4, KDM5C, MKI67, NEUROD6, NKX6-1, NOV, NPY2R, NR2E1, OLIG2, POU4F2, SLITRK6, SOX1, SOX3, SOX9,, SPRY1, VSX2
Proper citation: CanEuCre (RRID:SCR_004159) Copy
https://www.uab.edu/medicine/alzheimers/
The UAB Alzheimer's Disease Center provides comprehensive treatment for Alzheimer's patients while also promoting research for the prevention and cure of Alzheimer's disease and related disorders. The ADC is an interdisciplinary program of scientists working in areas including neurology, psychiatry, genetics, and psychology. The Center provides comprehensive treatment and promotes research for the prevention and/or cure of Alzheimer's disease and other related disorders with memory loss and impaired cognition. A major emphasis of research is the maintenance of a clinical research database comprised of neurological, medical, and neuropsychological test data from participants seen in the ADRC Clinical study since 1999, many of whom have been followed for several years in the study.
Proper citation: UAB Alzheimer's Disease Center (RRID:SCR_004305) Copy
http://www.brainnet-europe.org/
THIS RESOURCE IS NO LONGER IN SERVICE.Documented on July 7, 2022. Consortium of 19 brain banks across Europe with an aim to harmonize neuropathological diagnostic criteria and develop gold standards for quality, safety and ethics standards for brain banking. BrainNet Europe also contributes to research on rare diseases, such as: Pick''s disease or other rare forms of dementia, as well as to questions after the events in the aging brain. Anyone can be a donor - irrespective of disease of the central nervous system or not, because for research purposes, one does not only need tissue samples from ill donors, but also from healthy ones for comparison.
Proper citation: BrainNet Europe (RRID:SCR_004461) Copy
http://www.epilepsy.ie/index.cfm/spKey/research.html
Epilepsy Research Ireland is a non-profit organization (Charity CHY17527), run by a group of volunteers, who are dedicated to find cure for epilepsy by raising awareness and money for research. We can say cure now with much more confidence than we could even 10 years ago because recent advances in genetics, brain imaging and drug therapy, all hold out the promise of that holy grail the cure. We can also say with confidence that you can be part of that push by participating in this new foundation since we have collaborations with doctors and scientists all over Europe, the US and Australia, all of whom share the same goal. Epilepsy research, conducted by Epilepsy Research Ireland, is essential and will deliver benefits across the board. Research planned and already underway by Epilepsy Research Ireland will help develop and improve clinical skills; it will provide a knowledge base to develop new ways to manage and treat epilepsy; it will help in the evaluation of new medical advances. Ultimately we can improve the quality of care and provide greater understanding, better and more accurate diagnosis and more tailored treatments. Ireland is uniquely well-positioned, given its relatively homogenous population to make the goal, of making real discoveries in epilepsy research that will directly improve the lives of people with epilepsy, a realistic one.
Proper citation: Epilepsy Research Ireland (RRID:SCR_004448) Copy
Children''s Brain Tumor Foundation, a non-profit organization, was founded in 1988 by dedicated parents, physicians and friends. Our mission is to improve the treatment, quality of life and the long term outlook for children with brain and spinal cord tumors through research, support, education, and advocacy to families and survivors. Knowledge is critical for families to access expert care and ensure quality of life. Our free publication A Resource Guide for Parents of Children with Brain and Spinal Cord Tumors is now in its fourth edition, and is full of practical information to sort out the complexities of medical procedures, interruptions in school and social life, and uncertainty about the future. CBTF co-sponsors conferences for families, survivors and health care professionals, offering the latest information about research, treatments and strategies for living. Only scientific research will identify the causes and lead to effective treatments for brain tumors in children. CBTF funds cutting-edge research by scientists at top academic medical centers. Their discoveries hold the promise of improving the lives of affected children today and discovering the means of prevention for future generations. CBTF has awarded over $5 million in grants for basic and clinical research related to pediatric brain and spinal cord tumors. Also, over $625,000 has been given out in Quality of Life Grants.
Proper citation: Childrens Brain Tumor Foundation (RRID:SCR_004422) Copy
http://neuroviisas.med.uni-rostock.de/neuroviisas.html
An open framework for integrative data analysis, visualization and population simulations for the exploration of network dynamics on multiple levels. This generic platform allows the integration of neuroontologies, mapping functions for brain atlas development, and connectivity data administration; all of which are required for the analysis of structurally and neurobiologically realistic simulations of networks. What makes neuroVIISAS unique is the ability to integrate neuroontologies, image stacks, mappings, visualizations, analyzes and simulations to use them for modelling and simulations. Based on the analysis of over 2020 tracing studies, atlas terminologies and registered histological stacks of images, neuroVIISAS permits the definition of neurobiologically realistic networks that are transferred to the simulation engine NEST. The analysis on a local and global level, the visualization of connectivity data and the results of simulations offer new possibilities to study structural and functional relationships of neural networks. neuroVIISAS provide answers to questions like: # How can we assemble data of tracing studies? (Metastudy) # Is it possible to integrate tracing and brainmapping data? (Data Integration) # How does the network of analyzed tracing studies looks like? (Visualization) # Which graph theoretical properties posses such a network? (Analysis) # Can we perform population simulations of a tracing study based network? (Simulation and higher level data integration) neuroVIISAS can be used to organize mapping and connectivity data of central nervous systems of any species. The rat brain project of neuroVIISAS contains 450237 ipsi- and 175654 contralateral connections. A list of evaluated tracing studies are available. PyNEST script generation does work using WINDOWS OS, however, the script must be transferred to a UNIX OS with installed NEST. The results file of the NEST simulation can be visualized and analyzed by neuroVIISAS on a WINDOWS OS.
Proper citation: neuroVIISAS (RRID:SCR_006010) Copy
http://www.rad.upenn.edu/sbia/
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on June 2, 2023. Software package used to simulate brain images with local growth / atrophy within a prescribed spherical region. Specifically, given an input image and its segmented image, the location of the center of the spherical region, and the radius of that sphere, it simulates new images that have tissue growth or shrinkage within that pre-specified brain region according to given rates (atrophy for rates less than one and growth for rates greater than one). The algorithm uses an iterative procedure that tries to achieve the given level of volumetric change for brain tissues within the region, by seeking a smooth deformation field, whose Jacobian determinants match the prescribed volume change rate within the region. Note that in the current software, the simulation of growth or atrophy for brain tissue requires that the input spherical region has to cover some CSF or background regions.
Proper citation: Atrophy Simulation Package (RRID:SCR_006046) 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 NIF Resources search. From here you can search through a compilation of resources used by NIF and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that NIF 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 NIF then you can log in from here to get additional features in NIF 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 NIF 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 NIF 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.