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http://pons.incf.org/

Program consisting of three Task Forces and one Working Group to promote data exchange and integration in the neurosciences by developing terminology standards and formal ontologies for neural structures. Closely linked to the Program on Digital Brain Atlasing, the Program aims to establish a structured lexicon for the translation and definition of terms describing neural structures at multiple levels of granularity. The three Task Forces and one Working Group involved in the PONS effort: * Structural lexicon * Neuron registry * Representation and deployment * KnowledgeSpace Working Group Structural lexicon, Neuron registry, Representation and deployment, and KnowledgeSpace Working Group.

Proper citation: Program on Ontologies of Neural Structures (RRID:SCR_003549) Copy   

•   Source: SciCrunch Registry

http://fcon_1000.projects.nitrc.org/indi/pro/Berlin.html

Dataset consisting of a community sample of individuals ranging in age from 18 to 60 years old with at least two 7.5-minute resting state fMRI scans. During the resting state scan participants were instructed to relax while keeping their eyes open. In part of the sample eye status was randomized between scans. The particular eye status for each scan is indicated in the phenotypic information. No visual stimulus was presented. A subset of participants completed the ICS and PANAS affective behavior scales. The following data are released for every participant: * Scanner Type: Siemens, 3T Trio Tim * 7.5-minute resting state fMRI scan (R-fMRI) * MPRAGE anatomical scan, defaced to protect patient confidentiality * Demographic information, inluding ICS and PANAS scores (included in the release file).

Proper citation: Neuro Bureau - Berlin Mind and Brain Sample (RRID:SCR_003537) Copy   

•   Source: SciCrunch Registry

http://www.incf.org/activities/our-programs/pons/cumbo

Ontology of formal definitions (i.e., machine processable) for the types of structures commonly described in neuroanatomy.

Proper citation: Common Upper Mammalian Brain Ontology (RRID:SCR_003629) Copy   

•   Source: SciCrunch Registry

http://www.nih.gov/science/amp/alzheimers.htm

The Alzheimer's disease arm of the Accelerating Medicines Partnership (AMP) that will identify biomarkers that can predict clinical outcomes, conduct a large scale analysis of human AD patient brain tissue samples to validate biological targets, and to increase the understanding of molecular pathways involved in the disease to identify new potential therapeutic targets. The initiative will deposit all data in a repository that will be accessible for use by the biomedical community. The five year endeavor, beginning in 2014, will result in several sets of project outcomes. For the biomarkers project, tau imaging and EEG data will be released in year two, as baseline data becomes available. Completed data from the randomized, blinded trials will be added after the end of the five year studies. This will include both imaging data and data from blood and spinal fluid biomarker studies. For the network analysis project, each project will general several network models of late onset AD (LOAD) and identify key drivers of disease pathogensis by the end of year three. Years four and five will be dedicated to validating the novel targets and refining the network models of LOAD, including screening novel compounds or drugs already in use for other conditions that may have the ability to modulate the likely targets.

Proper citation: Accelerating Medicines Partnership - Alzheimers (RRID:SCR_003742) Copy   

•   Source: SciCrunch Registry

http://synapses.clm.utexas.edu

A portal into the 3D ultrastructure of the brain providing: Anatomy of astrocytes, axons, dendrites, hippocampus, organelles, synapses; procedures of 3D reconstruction and tissue preparation; as well as an atlas of ultrastructural neurocytology (by Josef Spacek), online aligned images, and reconstructed dendrites. Synapse Web hosts an ultrastructural atlas containing more than 500 electron micrographs (added to regularly) that identify unique ultrastructural and cellular components throughout the brain. Additionally, Synapse Web has raw images, reconstructions, and quantitative data along with tutorial instructions and numerous tools for investigating the functional structure of objects that have been serial thin sectioned for electron microscopy.

Proper citation: Synapse Web (RRID:SCR_003577) Copy   

•   Source: SciCrunch Registry

http://medschool.umaryland.edu/btbank/

The objective of this human tissue repository is to systematically collect, store, and distribute brain and other tissues for research dedicated to the improved understanding, care, and treatment of individuals with developmental disorders. Brain sections are primarily frozen in isopentane / dry ice. Tissues are stored in 10% formalin and frozen at -85 degrees C. Of special interest are individuals with Down syndrome and other chromosomal defects, mitochondrial encephalopathies, phenylketonuria and other aminoacidopathies, maternal PKU, Rett syndrome, leukodystrophies, lysosomal disorders, dyslexia, autism, and other neurodevelopmental disorders. The brain and tissue banks have extensive experience in arranging for the rapid retrieval of tissue upon the death of individuals who die while at home, in hospitals or hospice care. As a special service, the brain and tissue banks are able to assist researchers who are working with patients who intend to donate tissues at the time of their death. Immediately after retrieval of the tissue, the brain and tissue banks will forward needed tissue to the referring investigators and ensure proper storage and cataloging of any additional tissues as part of the brain and tissue banks. The recipient of tissue and the brain and tissue banks are required to sign a Tissue Transfer Agreement before any tissues are transferred.

Proper citation: NICHD Brain and Tissue Bank for Developmental Disorders (RRID:SCR_003601) Copy   

•   Source: SciCrunch Registry

http://neurovault.org/

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   

•   Source: SciCrunch Registry

http://www.mrc-cbu.cam.ac.uk/

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   

•   Source: SciCrunch Registry

http://rfmri.org/

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   

•   Source: SciCrunch Registry

http://www.caneucre.org

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   

•   Source: SciCrunch Registry

http://cibsr.stanford.edu/

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   

•   Source: SciCrunch Registry

http://brainmaps.org

An interactive multiresolution brain atlas that is based on over 20 million megapixels of sub-micron resolution, annotated, scanned images of serial sections of both primate and non-primate brains and integrated with a high-speed database for querying and retrieving data about brain structure and function. Currently featured are complete brain atlas datasets for various species, including Macaca mulatta, Chlorocebus aethiops, Felis catus, Mus musculus, Rattus norvegicus, Tyto alba and many other vertebrates. BrainMaps is currently accepting histochemical, immunocytochemical, and tracer connectivity data, preferably whole-brain. In addition, they are interested in EM, MRI, and DTI data.

Proper citation: BrainMaps.org (RRID:SCR_006878) Copy   

•   Source: SciCrunch Registry

http://brainatlas.mbi.ufl.edu/ImageGallery.php

Image Gallery of a 3D MRI Atlas of an Adult C57BL/6J Mouse Brain showing Slice Animation and 3D Animation including Axial, Coronal, Sagittal views. RealPlayer or Windows Media Player needs to be installed for viewing these animations.

Proper citation: MRM NeAt (Neurological Atlas) Mouse Brain Database Image Gallery (RRID:SCR_007032) Copy   

•   Source: SciCrunch Registry

http://brainatlas.mbi.ufl.edu/Database/

Comprehensive three-dimensional digital atlas database of the C57BL/6J mouse brain based on magnetic resonance microscopy images acquired on a 17.6-T superconducting magnet. This database consists of: Individual MRI images of mouse brains; three types of atlases: individual atlases, minimum deformation atlases and probabilistic atlases; the associated quantitative structural information, such as structural volumes and surface areas. Quantitative group information, such as variations in structural volume, surface area, magnetic resonance microscopy image intensity and local geometry, have been computed and stored as an integral part of the database. The database augments ongoing efforts with other high priority strains as defined by the Mouse Phenome Database focused on providing a quantitative framework for accurate mapping of functional, genetic and protein expression patterns acquired by a myriad of technologies and imaging modalities. You must register First (Mandatory) and then you may Download Images and Data.

Proper citation: MRM NeAt (Neurological Atlas) Mouse Brain Database (RRID:SCR_007053) Copy   

•   Source: SciCrunch Registry

http://www.siumed.edu/alz/research%20Dementia.html

A brain autopsy program developed to serve the needs of Illinois families and individuals affected by dementing diseases and to advance dementia research by providing tissue to researchers studying dementing diseases. The SIU School of Medicine (SIU-SM) Dementia Brain Autopsy Program facilitates the postmortem process for families wishing to obtain an autopsy for a loved one. A brain autopsy provides family members with accurate information regarding the exact nature of their relative's dementia. This includes information about the possibility of an inherited disorder which may affect other family members. The brain autopsy also helps clinicians improve their clinical skills by identifying the precise cause of the clinical dementia.

Proper citation: SIU CADRD Dementia Brain Autopsy Program (RRID:SCR_006918) Copy   

•   Source: SciCrunch Registry

http://humanconnectome.org/consortia/

Project to map the neural pathways that underlie human brain function for several modalities of neuroimaging data including fMRI. The purpose of the Project is to acquire and share data about the structural and functional connectivity of the human brain. It will greatly advance the capabilities for imaging and analyzing brain connections, resulting in improved sensitivity, resolution, and utility, thereby accelerating progress in the emerging field of human connectomics. Altogether, the Human Connectome Project will lead to major advances in the understanding of what makes us uniquely human and will set the stage for future studies of abnormal brain circuits in many neurological and psychiatric disorders. The sixteen institutes and centers of the NIH Blueprint for Neuroscience have funded two major grants that will take complementary approaches to deciphering the brain's amazingly complex wiring diagram. An 11-institution consortium led by Washington University in St. Louis and the University of Minnesota received a 5-year grant to enable development and utilization of advanced Magnetic Resonance Imaging (MRI) methods to chart brain circuitry. A consortium led by Massachusetts General Hospital and the University of California at Los Angeles received a grant to enable building and refining a next-generation 3T MR scanner that improves the quality and spatial resolution with which brain connectivity data can be acquired at this field strength.

Proper citation: NIH Human Connectome Project (RRID:SCR_006942) Copy   

•   Source: SciCrunch Registry

http://www9.biostr.washington.edu/da.html

Atlases of human brain, thoracic viscera and knee designed for teaching gross anatomy. Also provides a neuroanatomy Interactive syllabus, suitable as a laboratory guide, with an instructive caption accompanying each image and interactive quizzes. The Digital Anatomist Project is motivated by the belief that anatomy is the basis of all the biomedical sciences (including clinical medicine). Manifestations of health and disease can be regarded as attributes of anatomical structures ranging in size from molecules to body parts. Therefore DAP''s goal is to represent anatomy in a comprehensive and consistent way, which should meet the needs of all biomedical applications that require anatomical knowledge. DAP has pursued two parallel tracks for representing anatomical information: 1. The generation of graphical models derived from cadaver and clinical imaging data; and 2. Symbolic modeling of the structures and relationships that constitute the human body. It''s initial work with graphical representations of anatomy provided the impetus and motivation for the National Library of Medicine to establish the Visible Human Project, and it''s symbolic modeling has enhanced NLM''s Unified Medical Language System in order to represent deep anatomical knowledge. In collaboration with the knowledge systems group at Stanford, it has now created a very large knowledge base which provides the foundation for the machine-based intelligence needed to remotely interact with biomedical image data.

Proper citation: Digital Anatomist Interactive Atlases Project (RRID:SCR_007060) Copy   

•   Source: SciCrunch Registry

http://www.wholebraincatalog.org/

THIS RESOURCE IS NO LONGER IN SERVICE, documented May 26, 2016. An open source, downloadable, 3d atlas of the mouse brain and its cellular constituents that allows multi-scale data to be visualized in a seamless way, similar to Google earth. Data within the Catalog is marked up with annotations and can link out to additional data sources via a semantic framework. This next generation open environment has been developed to connect members of the neuroscience community to facilitate solutions for today's intractable challenges in brain research through cooperation and crowd sourcing. The client-server platform provides rich 3-D views for researchers to zoom in, out, and around structures deep in a multi-scale spatial framework of the mouse brain. An open-source, 3-D graphics engine used in graphics-intensive computer gaming generates high-resolution visualizations that bring data to life through biological simulations and animations. Within the Catalog, researchers can view and contribute a wide range of data including: * 3D meshes of subcellular scenes or brain region territories * Large 2D image datasets from both electron and light level microscopy * NeuroML and Neurolucida neuronal reconstructions * Protein Database molecular structures Users of the Whole Brain Catalog can: * Fit data of any scale into the international standard atlas coordinate system for spatial brain mapping, the Waxholm Space. * View brain slices, neurons and their animation, neuropil reconstructions, and molecules in appropriate locations * View data up close and at a high resolution * View their own data in the Whole Brain Catalog environment * View data within a semantic environment supported by vocabularies from the Neuroscience Information Framework (NIF) at http://www.neuinfo.org. * Contribute code and connect personal tools to the environment * Make new connections with related research and researchers 5 Easy Ways to Explore: * Explore the datasets across multiple scales. * View data closely at high resolution. * Observe accurately simulated neurons. * Readily search for content. * Contribute your own research.

Proper citation: Whole Brain Catalog (RRID:SCR_007011) Copy   

•   Source: SciCrunch Registry

http://www.nybb.hs.columbia.edu/

A brain bank which collects postmortem human brains to meet the needs of neuroscientists investigating specific psychiatric and neurological disorders. NYBB disburses tissue samples to investigating clinicians or scientists whose research has been approved by their Institutional Review Board. The tasks of the NYBB include: collection and processing of human postmortem brain samples for research; neuropathological evaluation and diagnosis; storage and computerized inventory of brain samples; and distribution of brain samples to investigating clinicians and scientists. Brains from individuals without neurological or psychiatric disorders are used as normal controls.

Proper citation: New York Brain Bank at Columbia University (RRID:SCR_007142) Copy   

•   Source: SciCrunch Registry

http://www.stanleyresearch.org/dnn/BrainResearchLaboratory/tabid/195/Default.aspx

It is a widely used resource for researchers trying to find the causes of, and better treatments for, schizophrenia, bipolar disorder and major depression. Brains were collected 1994 to 2005 with the permission of the families in a standardized manner, with half of each specimen being frozen and half fixed in formalin. Currently four cohorts are available for study; the Neuropathology Consortium consisting of 60 cases (15 each schizophrenia, bipolar disorder, depression, and controls), the Array Collection consisting of 105 cases (35 each schizophrenia, bipolar disorder, and controls), the Depression Collection consisting of 36 cases (12 each depression with psychosis, depression without psychosis, and controls), and the Parietal Collection of 48 cases (fixed inferior parietal sections from 24 each schizophrenia and controls). Since 1996, the Stanley Brain Collection has sent over 200,000 sections and 10,000 blocks of brain tissue to 240 research laboratories in 23 states and 20 foreign countries. All tissue has been provided to the researchers without charge. All costs for collecting, processing, and storing the brain tissue have been borne by The Stanley Medical Research Institute as a public service. All reasonable requests for brain tissue (over 90 percent of applications) have been honored. Researchers selected to receive tissue must sign an agreement that sets forth conditions for its use. Results received from researchers become part of the Stanley brain collection data set and will be used for integrative, multivariate analyses. In addition to overseeing the brain collection, the laboratory conducts research on the neuropathology of schizophrenia and bipolar disorder and on brain development. Many studies carried out at the Stanley Brain Research Laboratory are done in cooperation with studies at the Stanley Laboratory of Developmental Neurovirology.

Proper citation: Stanley Brain Collection (RRID:SCR_007062) Copy   

•   Source: SciCrunch Registry