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http://www.childhoodbraintumor.org/

The Childhood Brain Tumor Foundation (CBTF), an all-volunteer organization, was founded in 1994 by families, friends and physicians of children with brain tumors. Our mission is to raise funds for scientific research and heighten public awareness of this most devastating disease and to improve prognosis and quality of life for those that are affected. Founded and incorporated in Virginia, relocated to Maryland in 1998, the Foundation (a 501(c) (3), strives to meet the goals of our mission. Friends, families, and physicians brought CBTF together and are dedicated to serving the needs of families and children with brain tumors, in hopes of improving the quality of life and find cures for pediatric brain tumors. Annually, CBTF funds basic science or clinical research for pediatric brain tumors; conferences and other programs. We provide informational materials on our website and mail other information (nationally and internationally) upon request. The Childhood Brain Tumor Foundation (CBTF) has funded state-of-the-art research and supported conferences for pediatric brain tumors over the past 17 years. Grants submissions are reviewed thoroughly by our dedicated renown team of scientific advisors to ensure that CBTF selects the highest quality research for pediatric brain tumors. Each year, we receive so many outstanding applications and it is through the support of private and public donations that this is all possible. With your support, together, we will strive to find a cure for children''s brain tumors.

Proper citation: Childhood Brain Tumor Foundation (RRID:SCR_004421) Copy   

•   Source: SciCrunch Registry

https://wiki-bsse.ethz.ch/display/HSC/HelioScan+Home

HelioScan is a versatile control software for microscopes written in the intuitive graphical programming language LabVIEW. It solves a number of problems observed with custom-built image acquisition systems by providing the following features: * Extendability: both hardware components and software functionality are encapsulated in exchangeable, software components. Additional components can be implemented easily and plugged in at run-time. Components can be independently developed, allowing multiple developers to work in parallel. * Flexibility: Components are independently configurable; each component can have an unlimited number of configurations. * Understandability: The LabVIEW code is well-structured, commented and documented. * High speed: The software supports FPGA-based hardware that enables intelligent and extremely fast signal acquisition and generation. FPGA logic can be easily programmed using LabVIEW. * Tailored to in vivo brain imaging: The software is especially suited for 2-photon Calcium imaging, but can in principle be used for any kind of microscopy. The out-of-the-box software supports different imaging modalities (camera, galvanometric scan mirrors, acusto-optic deflectors) and imaging modes (camera video acquisition, intrinsic optical imaging, two-photon frame scan and tilted frame scan, 2D line scan, 3D spiral scan) and can easily be extended to other imaging modalities (e.g., resonance scanners), imaging modes (e.g., 2D and 3D arbitrary line scans) and associated hardware (e.g., stimulation devices). * Open file-format with extensible meta-data schema: HelioScan saves data in the OME-TIFF file format, which contains image data as multipage TIFF and meta-data as human-readable XML in the TIFF description tag according to the OME schema.

Proper citation: HelioScan (RRID:SCR_004494) Copy   

•   Source: SciCrunch Registry

http://www.kavlifoundation.org/

The Kavli Foundation, based in Oxnard, California, is dedicated to advancing science for the benefit of humanity, promoting public understanding of scientific research, and supporting scientists and their work. The Foundation''s mission is implemented through an international program of research institutes, professorships, symposia and other initiatives in the fields of astrophysics, nanoscience, neuroscience and theoretical physics. The Foundation is also a founding partner of the Kavli Prizes, which recognize scientists for their seminal advances in astrophysics, nanoscience and neuroscience. To date, The Kavli Foundation has made grants to establish Kavli Institutes on the campuses of the University of California Santa Barbara, Stanford University, the California Institute of Technology, the University of Chicago, Columbia University, Yale University, Cornell University, the University of California San Diego, Delft University of Technology in the Netherlands, the Massachusetts Institute of Technology, Peking University, the Chinese Academy of Sciences, Harvard University, the University of Cambridge and the Norwegian University of Science and Technology. In addition to the Kavli Institutes, six Kavli professorships have been established: two at the University of California Santa Barbara, one at University of California Los Angeles, one at the University of California Irvine, one at Columbia University, and one at the California Institute of Technology. The Kavli Futures Symposia a series of high quality scientific symposia on topics of emerging importance in the fields of astrophysics, nanoscience and neuroscience. The Frontiers of Science symposia bring together some of the very best young scientists across many disciplines to share and discuss exciting advances and opportunities in their fields. Videos and feature pieces have been created for teachers and students. This includes video interviews with acclaimed researchers Eric Kandel, M.D. and Edvard and May-Britt Moser, a video introduction and panel discussion on neuroscience, feature stories, written science overview, institute profiles and other materials. The Kavli Foundation is a private foundation qualified under IRC Section 501 (c) (3).

Proper citation: Kavli Foundation (RRID:SCR_005113) Copy   

•   Source: SciCrunch Registry

http://www.ini.uzh.ch/

The mission of the Institute is to discover the key principles by which brains work and to implement these in artificial systems that interact intelligently with the real world. The Institute of Neuroinformatics is built of many people covering a wide range of disciplines and research areas. The major research projects and areas are listed below. - Behavior and Cognition: At the Institute of Neuroinformatics researchers investigate in Behavior and Cognition on various levels, ranging from neuronal circuit models of learning and adaptation over psychophysical experiments for color constancy up to modeling complex behavioral tasks such as exploration and goal-directed navigation. - Computation in Neural Circuits: By examining the brains of cats, rats and monkeys, and by making simulations of the cortex, INI hopes to learn how this circuit performs such widely different tasks. This knowledge might lead to advances in how computers are designed, and will certainly lead to advances in the subtlety and power of medical neuroscience. - Neurotechnologies: INI aims to harness the principles of biological computation, which can be expected to have a major impact on the technology market as autonomous intelligence pervades equipment, vehicles, buildings, utilities and clothing. Sponsors: INI is supported by European Union (EU), Gerbert Ruf Stiftung, Neuroscience Center (ZNZ), Swiss Confederation (KTI), Swiss Federal Institute of Technology Zurich (ETH), Swiss National Science Foundation (SNF), University of Zurich (UZH), and VW Stiftung

Proper citation: Institute of Neuroinformatics (RRID:SCR_008331) Copy   

•   Source: SciCrunch Registry

http://www.mcknight.org/neuroscience/

An endowment that offers funding for memory research. The McKnight Endowment Fund for Neuroscience is an independent charitable organization established by The McKnight Foundation to carry out the wishes of its founder, William L. McKnight (1887-1979). Currently, the Endowment Fund for Neuroscience administers four awards which support young and established neuroscientists and encourage interdisciplinary collaboration: * Memory and Cognitive Disorders Awards * Neuroscience of Brain Disorders Awards * Scholar Awards * Technological Innovations in Neuroscience Awards Mr. McKnight, who led the 3M company for three decades, had a personal interest in memory and its diseases. He chose to set aside part of his legacy to bring hope to those suffering from brain injury or disease and cognitive impairment.

Proper citation: McKnight Endowment Fund for Neuroscience (RRID:SCR_008771) Copy   

•   Source: SciCrunch Registry

http://www.cbtrus.org/

Voluntary, non-profit organization dedicated to collecting and disseminating statistical data. Resource for gathering and disseminating epidemiologic data on all primary benign and malignant brain and other CNS tumors.

Proper citation: Central Brain Tumor Registry of the United States (RRID:SCR_008748) Copy   

•   Source: SciCrunch Registry

http://www.nbiadisorders.org/

The NBIA Disorders Association, formerly known as Hallervorden-Spatz Syndrome Association, (HSSA) was originally founded in 1996 by President, Patricia Wood. The goals of the association are to raise funds to support research pertinent to NBIA; to provide emotional support to those afflicted with NBIA and their families; and to raise public awareness of NBIA. The NBIA Disorders Association is accepting applications for one-year grants for clinical and translational research studies related to the early detection, diagnosis, or treatment of patients with NBIA. Neurodegeneration with Brain Iron Accumulation (NBIA) is a group of rare, genetic, neurological disorders characterized by the accumulation of iron deposits in the brain and progressive degeneration of the nervous system. It typically first appears in childhood. Presenting signs and symptoms may include difficulty walking, loss of balance, and problems related to speech. Those affected suffer a progressive loss of muscle control, sudden involuntary muscle spasms, and uncontrolled tightening of the muscles. Symptoms may also include disorientation, seizures, and deterioration of intellectual ability. Approximately half of the cases diagnosed have been linked to a mutation of a gene known as PANK2. At the present time, symptoms may be treated but there is no cure. The purpose of the NBIA Disorders Association Research Grant Program is to encourage meritorious research studies designed to improve the diagnosis or treatment of NBIA. The research can be conducted in the United States, countries of the European Union, Canada, Australia, New Zealand, Brazil, Argentina, Chile, South Africa, Japan, or Israel, and in other countries where adequate supervision of grant administration is possible. Grants will be awarded to qualified researchers to initiate pilot studies, the results of which are intended to be used to obtain larger multi-year grant funding. Evaluation of proposals will follow NIH guidelines and include careful consideration of experimental or protocol design, objectivity or relevance of parameters measured, and statistical analysis plan. Proposals that address the following areas will be given priority: * Therapeutics Development: ** Development of pantethine and its derivatives ** Development of other rational therapeutics * Animal & Cellular Models: ** Development of a new rodent disease model by targeted insertion of a ''human disease'' mutation into Pank2 ** Development of induced pluripotent stem cell lines. *** Development of animal and cellular models will be considered for multi-year funding with adequate budget justification. Proposals should detail a research plan and a budget for the initial phase of the work, with the option to contract further work out to a commercial enterprise. * Biomarker Discovery and Assay Development: ** Metabolomics ** Coenzyme A / acyl coenzyme A measurement using accessible (peripheral and central) tissue/fluid * New NBIA gene discovery

Proper citation: NBIA Disorders Association (RRID:SCR_005382) Copy   

•   Source: SciCrunch Registry

http://brancusi1.usc.edu/thesaurus/list/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on January 19,2022. The BAMS Thesaurus is a part of the larger BAMS The Foundational Model of Connectivity (FMC). The principle of constructing the resource are: 1. Systematic attempts to produce internally consistent classifications and taxonomies require theoretical frameworks for deciding between alternatives. 2. Alternate classification and taxonomy schemes are always possible and must be accommodated. 3. The FMC is based on evidence, not authority. All components are justified by reference to the best observational or experimental evidence from the literature, combined with reference to priority when possible, not by undocumented statements from textbooks, the Web, or elsewhere. 4. The FMC is based on evolving evidence and concepts, revisions are based on enforced rules, and versioning is systematic and historical. The first version of FMC and the foundation of this online version was published in Swanson & Bota (2010). Please cite this reference whenever any part of the FMC is used in any way. This online version of FMC has the following main parts: 1. Thesaurus, which includes an alphabetical list of all concepts and terms used in FMC to date. The preferred terms are in bold. Clicking on each term of the Thesaurus will retrieve its definition, reference, list of synonyms, and a comment form that can be used by registered users. 2. References, which includes an alphabetical list of the literature used to construct FMC. Listed references are associated with the definitions included in the Thesaurus, and PubMed links. 3. Search form that can be used to search for terms defined in FMC, included in their definitions, their abbreviations, and references (search by authors). We strongly recommend to read FMC rules and notations before starting to use the online version.

Proper citation: BAMS Thesaurus (RRID:SCR_008003) Copy   

•   Source: SciCrunch Registry

http://www.ivyfoundation.org/

Funds patient-focused research on gliomas to develop better diagnostics and treatments that lead to long-term survival and a high quality of life for patients with brain tumors. The goal is to decrease the suffering of patients with brain tumors. With an ultimate goal to cure brain cancer, their immediate goal is to improve diagnostics and treatment. They are dedicated to improving the lives of all patients with brain cancer by funding research that they hope will lead to the doubling of life expectancy of patients with brain cancer. Their goal is to do this within the next seven years. Since 2005 they''ve committed more than $50 million to research into brain tumors, with the expectation that this will lead to better diagnostics and therapies. They are dedicated to this search because funding leads to answers, and answers lead to hope.

Proper citation: Ben and Catherine Ivy Foundation (RRID:SCR_006333) Copy   

•   Source: SciCrunch Registry

http://www.mrn.org/

Non-profit organization focused on imaging technology that is dedicated to advancing the diagnosis and treatment of mental illness and brain injury. MRN consists of an interdisciplinary association of scientists located at universities, national laboratories and research centers around the world and is focused on imaging technology and its emergence as an integral element of neuroscience investigation. The MRNs initial plan called for the building of state-of-the-art magnetic resonance imaging (MRI) and magnetoencephalogram (MEG) neuroimaging systems to be applied to studies of mental illness. This important task was carried out by Minds initial collaborators: Massachusetts General Hospitals Martinos Biomedical Imaging Center (Harvard and MIT), the University of Minnesota, the University of New Mexico, and Los Alamos National Laboratory. Since both the Network and the mission have expanded beyond building neuroimaging tools, a comprehensive understanding of mental illness and more fundamental and systematic understanding of the brain, is possible. The MRN Mobile Imaging system is a custom designed one-of-a-kind facility.

Proper citation: Mind Research Network (RRID:SCR_002925) Copy   

•   Source: SciCrunch Registry

http://www.braintumour.ca/

Brain Tumour Foundation of Canada is a dedicated team of volunteers, patients, survivors, family members, health care professionals and staff, determined to make the journey with a brain tumor one full of hope and support. We work collaboratively to serve the needs of those Canadians affected by all types of brain tumors. Information, education and support is available and research continues into the cause of and a cure for brain tumors. Every year, thousands of Canadians affected by brain tumors find emotional support and comfort while gaining a better understanding and knowledge of their disease through a range of programs and services available across the country. This includes: up-to-date brain tumor information material, numerous education events and support groups. Important brain tumor research is also supported through annual grants, a fellowship and the brain tumour tissue bank. We welcome donations, large or small. Charitable Registration #BN118816339RR0001

Proper citation: Brain Tumour Foundation of Canada (RRID:SCR_004158) Copy   

•   Source: SciCrunch Registry

http://www.neuralgate.org/download/NeuralAct

Software to visualize electrocorticographic (ECoG) and possibly also other kinds of neural activity (EEG / EMG/ DOT) on a 3D model of the cortical surface. The tool has been used to produce cortical activation images and image sequences in several recent studies using ECoG. The tool is written in matlab. The package is thoroughly documented and includes a demo.

Proper citation: NeuralAct (RRID:SCR_002066) Copy   

•   Source: SciCrunch Registry

https://www.nitrc.org/projects/uncbcp_4d_atlas/

Software package for constructing longitudinal atlases, which are the necessary steps for many brain-related applications.

Proper citation: 4D Atlases Construction (RRID:SCR_002227) Copy   

•   Source: SciCrunch Registry

http://ibrain.nuaa.edu.cn/

Brain research group affiliated with the Nanjing University of Aeronautics and Astronautics (NUAA) in China. The main research interests of iBRAIN include developing methods in machine learning, data mining, neural computation, and related areas for decoding brain functions or recognizing brain disease. Research related code and datasets can be found on the main site.

Proper citation: iBRAIN (RRID:SCR_014691) Copy   

•   Source: SciCrunch Registry

http://ibvd.virtualbrain.org/

A database of brain neuroanatomic volumetric observations spanning various species, diagnoses, and structures for both individual and group results. A major thrust effort is to enable electronic access to the results that exist in the published literature. Currently, there is quite limited electronic or searchable methods for the data observations that are contained in publications. This effort will facilitate the dissemination of volumetric observations by making a more complete corpus of volumetric observations findable to the neuroscience researcher. This also enhances the ability to perform comparative and integrative studies, as well as metaanalysis. Extensions that permit pre-published, non-published and other representation are planned, again to facilitate comparative analyses. Design strategy: The principle organizing data structure is the "publication". Publications report on "groups" of subjects. These groups have "demographic" information as well as "volume" information for the group as a whole. Groups are comprised of "individuals", which also have demographic and volume information for each of the individuals. The finest-grained data structure is the "individual volume record" which contains a volume observation, the units for the observation, and a pointer to the demographic record for individual upon which the observation is derived. A collection of individual volumes can be grouped into a "group volume" observation; the group can be demographically characterized by the distribution of individual demographic observations for the members of the group.

Proper citation: Internet Brain Volume Database (RRID:SCR_002060) Copy   

•   Source: SciCrunch Registry

http://epilepsy.uni-freiburg.de/database

A comprehensive database for human surface and intracranial EEG data that is suitable for a broad range of applications e.g. of time series analyses of brain activity. Currently, the EU database contains annotated EEG datasets from more than 200 patients with epilepsy, 50 of them with intracranial recordings with up to 122 channels. Each dataset provides EEG data for a continuous recording time of at least 96 hours (4 days) at a sample rate of up to 2500 Hz. Clinical patient information and MR imaging data supplement the EEG data. The total duration of EEG recordings included execeeds 30000 hours. The database is composed of different modalities: Binary files with EEG recording / MR imaging data and Relational database for supplementary meta data.

Proper citation: EPILEPSIE database (RRID:SCR_003179) Copy   

•   Source: SciCrunch Registry

https://scicrunch.org/scicrunch/data/source/nlx_154697-4/search?q=*

Virtual database indexing brain region gene expression data from mice from: Gene Expression Nervous System Atlas (GENSAT), Allen Mouse Brain Atlas, and Mouse Genome Institute (MGI).

Proper citation: Integrated Brain Gene Expression (RRID:SCR_004197) Copy   

•   Source: SciCrunch Registry

http://nac.spl.harvard.edu/

Biomedical Technology Resource Center that develops image processing and analysis techniques for basic and clinical neurosciences. The NAC research approach emphasizes both specific core technologies and collaborative application projects. The core activity of the center is the development of algorithms and techniques for postprocessing of imaging data. New segmentation techniques aid identification of brain structures and disease. Registration methods are used for relating image data to specific patient anatomy or one set of images to another. Visualization tools allow the display of complex anatomical and quantitative information. High-performance computing hardware and associated software techniques further accelerate algorithms and methods. Digital anatomy atlases are developed for the support of both interactive and algorithmic computational tools. Although the emphasis of the NAC is on the dissemination of concepts and techniques, specific elements of the core software technologies have been made available to outside researchers or the community at large. The NAC's core technologies serve the following major collaborative projects: Alzheimer's disease and the aging brain, morphometric measures in schizophrenia and schizotypal disorder, quantitative analysis of multiple sclerosis, and interactive image-based planning and guidance in neurosurgery. One or more NAC researchers have been designated as responsible for each of the core technologies and the collaborative projects.

Proper citation: Neuroimage Analysis Center (RRID:SCR_008998) Copy   

•   Source: SciCrunch Registry

https://www.nitrc.org/projects/neurolabels

This resource was created to host descriptions of protocols, definitions and rules for the reliable identification and localization of human brain anatomy and discussions of best practices in brain labeling. Project for manual anatomical labeling of human brain MRI data, and the visual presentation of labeled brain images.

Proper citation: BrainColor: Collaborative Open Labeling Online Resource (RRID:SCR_006377) Copy   

•   Source: SciCrunch Registry

https://sites.google.com/site/bipolardatabase/

Database of 141 studies which have investigated brain structure (using MRI and CT scans) in patients with bipolar disorder compared to a control group. Ninety-eight studies and 47 brain structures are included in the meta-analysis. The database and meta-analysis are contained in an Excel spreadsheet file which may be freely downloaded from this website.

Proper citation: Bipolar Disorder Neuroimaging Database (RRID:SCR_007025) Copy   

•   Source: SciCrunch Registry