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http://caintegrator-info.nci.nih.gov/rembrandt

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on April 28,2023. REMBRANDT is a data repository containing diverse types of molecular research and clinical trials data related to brain cancers, including gliomas, along with a wide variety of web-based analysis tools that readily facilitate the understanding of critical correlations among the different data types. REMBRANDT aims to be the access portal for a national molecular, genetic, and clinical database of several thousand primary brain tumors that is fully open and accessible to all investigators (including intramural and extramural researchers), as well as the public at-large. The main focus is to molecularly characterize a large number of adult and pediatric primary brain tumors and to correlate those data with extensive retrospective and prospective clinical data. Specific data types hosted here are gene expression profiles, real time PCR assays, CGH and SNP array information, sequencing data, tissue array results and images, proteomic profiles, and patients'''' response to various treatments. Clinical trials'''' information and protocols are also accessible. The data can be downloaded as raw files containing all the information gathered through the primary experiments or can be mined using the informatics support provided. This comprehensive brain tumor data portal will allow for easy ad hoc querying across multiple domains, thus allowing physician-scientists to make the right decisions during patient treatments., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Repository of molecular brain neoplasia data (RRID:SCR_004704) Copy   

•   Source: SciCrunch Registry

http://www.biak.us/

At Brain Injury Alliance of Kentucky (BIAK), a 501(c)(3) non-profit agency, our sole mission is to serve Kentucky citizens whose lives have been affected by brain injury. We do this through advocacy, education, prevention, research, service and support. BIAK links survivors of brain injury and their families to support from others with similar experience; provides them with education and information about living and coping with brain injury; assists them in locating resources for financial assistance; and seeks to connect people with sources of emotional support. BIAK began as an outgrowth of a Lexington area support group in the early 1980s. Family members, medical staff and others felt the need to expand the services and support to reach statewide. The state office was moved to Louisville and incorporated in 1986. BIAK now has offices and staff in Louisville and Lexington. BIAK seeks to share its philosophy, experience and skills with survivors, family members, students, caregivers, administrators, health professionals, legislators, the lay community and all those who desire to make a difference in the life of individuals with brain injuries and their families. At BIAK you will find information about brain injury. We define brain injury as any injury to the brain including injury received from a fall, a stroke, trauma, anoxia, infection, and tumors or other illnesses. Each year, a growing number of Kentucky citizens are affected by brain tumors. These may range from benign tumors to aggressive cancers. The Michael Quinlan Brain Tumor program recently joined BIAK to provide service and support to individuals and families who have been affected by brain tumors. There is always help available to you and your family.

Proper citation: Brain Injury Alliance of Kentucky (RRID:SCR_004764) Copy   

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http://www.fightplga.org/

The Pediatric Low Grade Astrocytoma (PLGA) Foundation is the largest, and only, non-profit organization dedicated to providing hope to children, parents, and families fighting Pediatric Low Grade Astrocytomas (PLGAs). We were founded in August 2007, as a 501(c)(3) foundation made up of families and friends dedicated to helping children who are struggling with brain tumors. To date, families associated with the Pediatric Low Grade Astrocytoma (PLGA) Foundation have raised over $6 million for DEDICATED PLGA research and funded over a dozen new research projects targeted specifically at children''s brain tumors or PLGA''s. These funds have supported the launch of the Dana Farber Cancer Institute''s PLGA Research Program as well as numerous grants distributed by the Brain Tumor Society, and other fine institutions. The PLGA Foundation awards 100% of funds to education and research in the search for more effective, less toxic treatment options for this potentially devastating childhood brain tumor. The PLGA Foundation actively promotes partnerships with other non-profit organizations, private individuals and government entities and has collaborated on fund raising, education and grant allocations in order to leverage resources and funds. Our goal at the Pediatric Low Grade Astrocytoma (PLGA) Foundation, also known as Fight Juvenile Pilocytic Astrocytoma (FightJPA.org), is to UNITE families around the country and around the world in the FIGHT for the lives of our children who suffer from PLGAs - childhood brain tumors. We can defeat childhood brain tumors through a united effort on all fronts to increase awareness, education, fundraising and research of pediatric low grade astrocytomas.

Proper citation: Pediatric Low Grade Astrocytoma Foundation (RRID:SCR_004758) Copy   

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http://elderaffairs.state.fl.us/doea/BrainBank/index.php

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 11, 2023. A service and research oriented network of statewide regional brain bank sites. The intent of the brain bank program is to study brains of persons clinically diagnosed with dementia and provide tissue for research after their deaths. Mt. Sinai Medical Center contracts annually with the State of Florida to operate the primary brain bank. Coordinators at regional brain bank sites in Orlando, Tampa and Pensacola assist in recruiting participants and act as liaisons between the brain bank and participant families. Alzheimer's disease respite care program providers, memory disorder clinics, and model day care programs also recruit brain bank participants. The Florida Brain Bank supports collaborative research programs related to Alzheimer's disease and other degenerative disorders of the brain.

Proper citation: Florida Brain Bank (RRID:SCR_004936) Copy   

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http://www.adrccares.org/

The Alzheimer's and Dementia Resource Center (ADRC) facilitates tissue donations for the Brain Bank Research Program in order to help find better treatments, more diagnostic tools and a cure for Alzheimer's disease and dementia. The Brain Bank Program is administered by Mount Sinai Medical Center in Miami Beach and under contract with the Florida Department of Elder Affairs. ADRC also provides caregivers with the educational resources, spiritual comfort and emotional support. The ADRC facilitates training for professional caregivers that meets requirements for the Florida Department of Elder Affairs.

Proper citation: Alzheimer's and Dementia Resource Center (RRID:SCR_004924) Copy   

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http://www.jeiglesias.com

An automatic whole-brain extraction tool for T1-weighted MRI data (commonly known as skull stripping). Whole-brain segmentation is often the first component in neuroimage pipelines and therefore, its robustness is critical for the overall performance of the system. Many methods have been proposed in the literature, but they often: * work well on certain datasets but fail on others. * require case-specific parameter tuning ROBEX aims for robust skull-stripping across datasets with no parameter settings. It fits a triangular mesh, constrained by a shape model, to the probabilistic output of a supervised brain boundary classifier. Because the shape model cannot perfectly accommodate unseen cases, a small free deformation is subsequently allowed. The deformation is optimized using graph cuts.

Proper citation: ROBEX (RRID:SCR_002534) Copy   

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http://www.unidesign.ch/wiki/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on December 6, 2012. Connectome Wiki is a knowledge base for macro- and mesoscale brain region and brain structural connectivity information across species. Employing modern semantic wiki technology, it serves as collaborative platform as well. What can I get? * Brain Regions: Plenty of information, including links to relevant literature and much more. * Brain Connections: Well established neuronal connections based mainly on neuronal tracer studies from the literature. * Abbreviations: Look up abbreviations and corresponding English and Latin names * Partition Schemes: Foundational and more partitions with their corresponding delineation criteria and protocols. * Species: Information about different species is available, using their binomial name as identifier. * External: Enhance the ConnectomeViewer with Volume-To-Ontology mappings. * Data Source: You can download the raw data in RDF or JSON. How can I contribute? If your research is in particular brain regions, or model organisms not yet registered, feel free to act as domain expert and add your knowledge. If you do any tracer studies, add findings with appropriate published papers. Incrementally building a mesoscale skeleton wiring diagram. Complete anything that is missing. See also PapersToAdd. Register your own partition scheme and link it semantically against known schemes. Adding brain region pages for your particular research organisms. Use ConnectomeWiki as knowledge backend for your application concerned with gross neuroanatomy. The goals of this wiki are: * A collaborative platform to collect, collate, manage and disseminate mesoscale nervous system region and connectivity information across various species * Authority for Brain Region Abbreviations * Representation of Brain Region Homologies * Interrelation of Brain Partition Schemes * Information source for the ConnectomeViewer application

Proper citation: Connectome Wiki (RRID:SCR_002675) Copy   

•   Source: SciCrunch Registry

http://www.wellesley.edu/Neuroscience/

Neuroscience was implemented as a new interdisciplinary major in 1999, replacing the Psychobiology Program and providing a base of experiences in biology, chemistry and psychology. Our students benefit from being able to work in small classes and to experience investigative lab experiences even in their introductory courses. Wellesley's neuroscience majors graduate with a liberal arts background coupled with sufficient concentration in this specialized field to be competitive among students coming from exclusively research-oriented institutions. The best proofs of the success of this approach are its products: * 60% of our graduates proceed to medical school; * 15% of our graduates continue on with graduate work in neuroscience, psychology, or neuropsychology; * 10% of our graduates pursue careers that intersect with neuroscience - for example, patent law or work in the biotech industry. Neuroscience is the study of the structure and function of neurons and how they are assembled to produce behaviors. This topic uses a multidisciplinary approach that extends from the molecular, through the cellular, and to the behavioral level.

Proper citation: Wellesley College Neuroscience (RRID:SCR_002734) Copy   

•   Source: SciCrunch Registry

http://www.umc.edu/Administration/Centers_and_Institutes/Center_for_Psychiatric_Neuroscience/Core_Research_Resources.aspx

Core facility that provides access to psychiatrically characterized post-mortem brain specimens, state-of-the-art equipment, cutting-edge technologies and the technical advice of highly trained faculty members who serve as Core Directors. The sophisticated imaging systems and biotechnologically advanced molecular core resources are provided on a shared-use basis to CPN and UMMC researchers. The CPN Research Resources Cores include the Human Brain Collection Core, Animal Core, Imaging Core, Molecular Biology Core, and Information Technologies Core.

Proper citation: UMMC Center for Psychiatric Neuroscience Labs and Facilities (RRID:SCR_002688) Copy   

•   Source: SciCrunch Registry

http://www.ndgo.net/sfn/nerve/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 17, 2013. Society for Neuroscience (SfN) provides this Web site, Neuroscience Education Resources Virtual Encycloportal (NERVE), to advance neuroscience teaching and educational efforts. SfN is a nonprofit association of more than 38,000 researchers and professionals, believes K-12 educators and vital partners for engaging the next generation of researchers. NERVE gives access to information and tools for teaching about the nervous system and related health issues. The goal of NERVE is to provide a gateway to credible information from government, nonprofit and other respected sources. Society scientists and educators have reviewed information for appropriateness but responsibility for content remains that of the originating author or organizations. NERVE gives access to information and tools for teaching about the nervous system and related health issues.

Proper citation: Neuroscience Education Resources Virtual Encycloportal (RRID:SCR_002897) Copy   

•   Source: SciCrunch Registry

http://www.brainscape.org/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on May 23, 2013. Database for resting state functional connectivity studies. Functional connectivity has shown tremendous promise in mapping the intrinsic functional topography of the brain, evaluating neuroanatomical models, and investigating neurological and psychiatric disease. Brainscape includes a repository of public and private data and an analysis engine for exploring the correlation structure of spontaneous fluctuations in the fMRI BOLD signal. (DICOM data is the image format that can be uploaded.) With Brainscape you can upload, analyze, and share your own data. You can search for, download, and analyze studies in the repository of shared data. The analysis engine works by selecting one or more studies, typing in the coordinates of a brain region of interest, and the seed-region correlation engine computes the correlation structure across the whole brain. (T1, T2 and EPI data are the scan types Brainscape can process.) You decide who can access your data. You can keep it to yourself, share with select colleagues, or share it with everyone. The Brainscape database and analysis tools are open source and freely available.

Proper citation: Brainscape (RRID:SCR_002962) Copy   

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

Portal where neuroimaging studies are carried out using a Siemens 3T Tim Trio Magnetic Resonance Imaging (or MRI) scanner that is wholly dedicated to studies in Cognitive Neuroscience. From emotions and memories to language and learning, functional neuroimaging is being applied in many different areas of Cognitive Neuroscience. In many cases, this research relies upon support from healthy volunteers although neuroimaging studies are also being conducted in various clinical populations, including depression, anxiety, Parkinson's disease and Alzheimer's disease.

Proper citation: CBU Imaging Wiki (RRID:SCR_003014) Copy   

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http://trans.nih.gov/bmap/resources/resources.htm

As part of BMAP gene discovery efforts, mouse brain cDNA libraries and Expressed Sequence Tags (ESTs) have been generated. Through this project a BMAP mouse brain UniGene set consisting of over 24,000 non-redundant members of unique clusters has been developed from EST sequencing of more than 50,000 cDNA clones from 10 regions of adult mouse brain, spinal cord, and retina (http://brainEST.eng.uiowa.edu/). In 2001, NIMH along with NICHD, NIDDK, and NIDA, awarded a contract to the University of Iowa ( M.B. Soares, PI) to isolate full-length cDNA clones corresponding to genes expressed in the developing mouse nervous system and determine their full-coding sequences. The BMAP mouse brain EST sequences can be accessed at NCBI's dbEST database (http://www.ncbi.nlm.nih.gov/dbEST/). Arrayed sets of BMAP mouse brain UniGenes and cDNA libraries, and individual BMAP cDNA clones can be purchased from Open Biosystems, Huntsville, AL (http://www.openbiosystems.com

Proper citation: BMAP cDNA Resources (RRID:SCR_002973) Copy   

•   Source: SciCrunch Registry

http://bluebrain.epfl.ch/

A Swiss-led project with the aim of reverse engineering the mammalian brain and achieving a complete virtual human brain. The researchers have demonstrated the validity of their method by developing a realistic model of a rat cortical column, consisting of about 10,000 neurons. The eventual goal is to simulate systems of millions and hundreds of millions of neurons. The virtual brain will be an exceptional tool giving neuroscientists a new understanding of the brain and a better understanding of neurological diseases. In five years of work, Henry Markram's team has perfected a facility that can create realistic models of one of the brain's essential building blocks. This process is entirely data driven and essentially automatically executed on the supercomputer. Meanwhile the generated models show a behavior already observed in years of neuroscientific experiments. These models will be basic building blocks for larger scale models leading towards a complete virtual brain.

Proper citation: Blue Brain Project (RRID:SCR_002994) Copy   

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http://senselab.med.yale.edu/neurondb

Database of three types of neuronal properties: voltage gated conductances, neurotransmitter receptors, and neurotransmitter substances. It contains tools that provide for integration of these properties in a given type of neuron and compartment, and for comparison of properties across different types of neurons and compartments.

Proper citation: NeuronDB (RRID:SCR_003105) Copy   

•   Source: SciCrunch Registry

http://genome.ucsc.edu/cgi-bin/hgVisiGene

Virtual microscope for viewing in situ images that show where a gene is used in an organism, sometimes down to cellular resolution. The user can examine cell-by-cell as well as tissue-by-tissue expression patterns. Users can retrieve images that meet specific search criteria, then interactively zoom and scroll across the collection. Image set contributions are welcome. The following image collections are currently available for browsing: * High-quality high-resolution images of eight-week-old male mouse sagittal brain slices with reverse-complemented mRNA hybridization probes from the Allen Brain Atlas, courtesy of the Allen Institute for Brain Science * Mouse in situ images from the Jackson Lab Gene Expression Database (GXD) at MGI * Transcription factors in mouse embryos from the Mahoney Center for Neuro-Oncology * Mouse head and brain in situ images from NCBI''''s Gene Expression Nervous System Atlas (GENSAT) database * Xenopus laevis in situ images from the National Institute for Basic Biology (NIBB) XDB project

Proper citation: VisiGene Image Browser (RRID:SCR_003341) Copy   

•   Source: SciCrunch Registry

http://braintrap.inf.ed.ac.uk/braintrap/

This database contains information on protein expression in the Drosophila melanogaster brain. It consists of a collection of 3D confocal datasets taken from EYFP expressing protein trap Drosophila lines from the Cambridge Protein Trap project. Currently there are 884 brain scans from 535 protein trap lines in the database. Drosophila protein trap strains were generated by the St Johnston Lab and the Russell Lab at the University of Cambridge, UK. The piggyBac insertion method was used to insert constructs containing splice acceptor and donor sites, StrepII and FLAG affinity purification tags, and an EYFP exon (Venus). Brain images were acquired by Seymour Knowles-Barley, in the Armstrong Lab at the University of Edinburgh. Whole brain mounts were imaged by confocal microscopy, with a background immunohistochemical label added to aid the identification of brain structures. Additional immunohistochemical labeling of the EYFP protein using an anti-GFP antibody was also used in most cases. The trapped protein signal (EYFP / anti-GFP), background signal (NC82 label), and the merged signal can be viewed on the website by using the corresponding channel buttons. In all images the trapped protein / EYFP signal appears green and the background / NC82 channel appears magenta. Original .lsm image files are also available for download.

Proper citation: BrainTrap: Fly Brain Protein Trap Database (RRID:SCR_003398) Copy   

•   Source: SciCrunch Registry

http://irc.cchmc.org/software/pedbrain.php

Brain imaging data collected from a large population of normal, healthy children that have been used to construct pediatric brain templates, which can be used within statistical parametric mapping for spatial normalization, tissue segmentation and visualization of imaging study results. The data has been processed and compiled in various ways to accommodate a wide range of possible research approaches. The templates are made available free of charge to all interested parties for research purposes only. When processing imaging data from children, it is important to take into account the fact that the pediatric brain differs significantly from the adult brain. Therefore, optimized processing requires appropriate reference data be used because adult reference data will introduce a systematic bias into the results. We have shown that, in the in the case of spatial normalization, the amount of non-linear deformation is dramatically less when a pediatric template is used (left, see also HBM 2002; 17:48-60). We could also show that tissue composition is substantially different between adults and children, and more so the younger the children are (right, see also MRM 2003; 50:749-757). We thus believe that the use of pediatric reference data might be more appropriate.

Proper citation: CCHMC Pediatric Brain Templates (RRID:SCR_003276) Copy   

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http://www.pediatricmri.nih.gov/

Data sets of clinical / behavioral and image data are available for download by qualified researchers from a seven year, multi-site, longitudinal study using magnetic resonance technologies to study brain maturation in healthy, typically-developing infants, children, and adolescents and to correlate brain development with cognitive and behavioral development. The information obtained in this study is expected to provide essential data for understanding the course of normal brain development as a basis for understanding atypical brain development associated with a variety of developmental, neurological, and neuropsychiatric disorders affecting children and adults. This study enrolled over 500 children, ranging from infancy to young adulthood. The goal was to study each participant at least three times over the course of the project at one of six Pediatric Centers across the United States. Brain MR and clinical/behavioral data have been compiled and analyzed at a Data Coordinating Center and Clinical Coordinating Center. Additionally, MR spectroscopy and DTI data are being analyzed. The study was organized around two objectives corresponding to two age ranges at the time of enrollment, each with its own protocols. * Objective 1 enrolled children ages 4 years, 6 months through 18 years (total N = 433). This sample was recruited across the six Pediatric Study Centers using community based sampling to reflect the demographics of the United States in terms of income, race, and ethnicity. The subjects were studied with both imaging and clinical/behavioral measures at two year intervals for three time points. * Objective 2 enrolled newborns, infants, toddlers, and preschoolers from birth through 4 years, 5 months, who were studied three or more times at two Pediatric Study Centers at intervals ranging from three months for the youngest subjects to one year as the children approach the Objective 1 age range. Both imaging and clinical/behavioral measures were collected at each time point. Participant recruitment used community based sampling that included hospital venues (e.g., maternity wards and nurseries, satellite physician offices, and well-child clinics), community organizations (e.g., day-care centers, schools, and churches), and siblings of children participating in other research at the Pediatric Study Centers. At timepoint 1, of those enrolled, 114 children had T1 scans that passed quality control checks. Staged data release plan: The first data release included structural MR images and clinical/behavioral data from the first assessments, Visit 1, for Objective 1. A second data release included structural MRI and clinical/behavioral data from the second visit for Objective 1. A third data release included structural MRI data for both Objective 1 and 2 and all time points, as well as preliminary spectroscopy data. A fourth data release added cortical thickness, gyrification and cortical surface data. Yet to be released are longitudinally registered anatomic MRI data and diffusion tensor data. A collaborative effort among the participating centers and NIH resulted in age-appropriate MR protocols and clinical/behavioral batteries of instruments. A summary of this protocol is available as a Protocol release document. Details of the project, such as study design, rationale, recruitment, instrument battery, MRI acquisition details, and quality controls can be found in the study protocol. Also available are the MRI procedure manual and Clinical/Behavioral procedure manuals for Objective 1 and Objective 2.

Proper citation: NIH MRI Study of Normal Brain Development (RRID:SCR_003394) Copy   

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http://www.macbrain.org/

Portal on how the experiences of early childhood are incorporated into the structures of the developing brain, and how, in turn, those changes in the structures of the brain influence behavior. The network explores how knowledge of brain development can guide us in understanding of behavioral development and vice versa. It focuses specifically on sensitive periods and neural plasticity, the reciprocal phenomena whereby (a) the brain is negatively affected if certain experiences fail to occur within a certain time period, and (b) the brain is altered by experience at virtually any point in the life span. Here we consider not only how the structure of experience is incorporated into the structure of the brain, but also how this knowledge can influence the decisions we make about intervening in the lives of children. Research and other projects conducted by the Network fall into four broad categories: * Effects of early experience on brain development * New methods for studying brain-behavior relations * Comparative studies of early brain-behavioral development * Impact on public policy: Educating educators and the media RESOURCES NimStim Face Stimulus Set The Research Network on Early Experience and Brain Development has developed a battery of 646 facial expression stimuli for use in its own and other studies of face and emotion recognition. Images include the following expressions, displayed by a variety of models of various genders and races: fearful, happy, sad, angry, surprised, calm, neutral, disgusted. They are making these stimuli available to the public free of charge with registration and acceptance of the terms and conditions to use the stimulus set.

Proper citation: Research Network in Early Experience and Brain Development (RRID:SCR_003271) Copy   

•   Source: SciCrunch Registry