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http://bodymap.genes.nig.ac.jp/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 17, 2013. A taxonomical and anatomical database of latest cross species animal EST data, clustered by UniGene and inter connected by Inparanoid. Users can search by Unigene, RefSeq, or Entrez Gene ID, or search for Gene Name or Tissue type. Data is also sortable and viewable based on qualities of normal, Neoplastic, or other. The last data import appears to be from 2008

Proper citation: BodyMap-Xs (RRID:SCR_001147) Copy   

•   Source: SciCrunch Registry

http://netbio.bgu.ac.il/tissuenet/

Database of human tissue protein-protein interactions (PPIs) that associates each interaction with human tissues that express both pair mates. This was achieved by integrating current data of experimentally detected PPIs with extensive data of gene and protein expression across 16 main human tissues. Users can query TissueNet using a protein and retrieve its PPI partners per tissue, or using a PPI and retrieve the tissues expressing both pair mates. The graphical representation of the output highlights tissue-specific and tissue-wide PPIs. Thus, TissueNet provides a unique platform for assessing the roles of human proteins and their interactions across tissues.

Proper citation: TissueNet - The Database of Human Tissue Protein-Protein Interactions (RRID:SCR_002052) Copy   

•   Source: SciCrunch Registry

http://www.genes2cognition.org/db/Search

Database of protein complexes, protocols, mouse lines, and other research products generated from the Genes to Cognition project, a project focused on understanding molecular complexes involved in synaptic transmission in the brain.

Proper citation: Genes to Cognition Database (RRID:SCR_002735) Copy   

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https://bams1.org/cells/list.php, https://bams1.org/cells/search_bams_ref.php, https://bams1.org/cells/search_by_brain_region.php

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 6, 2023.BAMS is an online resource for information about neural circuitry. The BAMS Cell view focuses on the major brain regions and which cells are contained therein.

Proper citation: BAMS Cells (RRID:SCR_003531) Copy   

•   Source: SciCrunch Registry

https://confluence.crbs.ucsd.edu/display/NIF/DRG

Gene expression data from published journal articles that test hypotheses relevant to neuroscience of addiction and addictive behavior. Data types include effects of particular drug, strain, or knock out on particular gene, in particular anatomical region. Focuses on gene expression data and exposes data from investigations using DNA microarrays, polymerase chain reaction, immunohistochemistry and in-situ hybridizations. Data are available for query through NIF interface.Data submissions are welcome.

Proper citation: Drug Related Gene Database (RRID:SCR_003330) Copy   

•   Source: SciCrunch Registry

http://hendrix.imm.dtu.dk/services/jerne/brede/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 4th, 2023. A database of human data from functional neuroimaging scientific articles containing Talairach coordinates that provides data for novel information retrieval techniques and automated meta-analyses. Each article in this database is identified by a unique number: A WOBIB. Some of the structure of the Brede database is similar to the structure of the BrainMap database (Research Imaging Center, San Antonio). The database is inspired by the hierarchical structure of BrainMap with scientific articles (bib structures) on the highest level containing one or more experiments (exp structure, corresponding to a contrast in general linear model analyses), these in turn comprising one or more locations (loc structures). The information on the bib level (author, title, ...) is setup automatically from PubMed while the rest of the information is entered manually in a Matlab graphical user interface. On the loc level this includes the 3D stereotactic coordinates in either Talairach or MNI space, the brain area (functional, anatomical or cytoarchitectonic area) and magnitude values such as Z-score and P-value. On the exp level information such as modality, scanner and behavioral domain are recorded with external components (such as face recognition or kinetic boundaries) organized in a directed graph and marked up with Medical Subject Headings (MeSH) where possible. The database is distributed as part of the Brede neuroinformatics toolbox (hendrix.imm.dtu.dk/software/brede/) which also provides the functions to manipulate and analyze the data. The Brede Toolbox is a program package primarily written in Matlab. As of 2006/11, 186 papers with 586 experiments.

Proper citation: Brede Database (RRID:SCR_003327) Copy   

•   Source: SciCrunch Registry

https://neuropsychological-assessment-tests.com/sanzen-tower-london-test

CATs Tower of London test is a free, computer-based software test originally developed by Shallice (1982) to investigate problem solving in subjects with damage to the frontal lobes. The CATs Tower of London Test comes with one preprogrammed test along with extensive normative data for that test. You can also create a test using your design. Briefly, subjects are required to move colored beads from a window on the left (working area) until they achieve the arrangement in the window on the right (goal position). Subjects are instructed to try to achieve the goal arrangement in as few moves as possible. The software contains a Tower of London test. The test contains trials with 3 beads and 3 pegs, 4 beads and 4 pegs, and 5 beads and 5 pegs. You can use the Setup screen to create a test using your design. A test can contain 3, 4, and 5 bead problems with varying number of moves required for the optimal solution. In Shallice's initial investigation using the Tower of London, patients with damage to the left anterior frontal lobe demonstrated impaired planning (i.e., greater number of moves required for solution). Patients with damage to the right anterior, and left or right posterior areas of the frontal lobes were not impaired. Thus, results from this initial study provided support for the view that the left anterior frontal lobe area is involved in the planning required for solving the Tower of London test. Recent studies using neuroimaging techniques support this notion. Studies using regional cerebral blood flow (rCBF) imaging indicate an involvement of the left frontal lobes in the planning required for successfully completing the Tower of London puzzle. Studies of patients with damage to the frontal lobes indicate less cortical specificity, but are consistent with the view that the frontal lobes are involved in the planning required for solving this puzzle.

Proper citation: Colorado Assessment Tests - Tower of London (RRID:SCR_003507) Copy   

•   Source: SciCrunch Registry

http://banyanbio.com/

Banyan Biomarkers was founded in 2002 by Ron Hayes, PhD , Kevin Wang, PhD, and Nancy Denslow, PhD to create the first Point of Care (POC) Blood Test to diagnose traumatic brain injury (TBI) and to diagnose neurological diseases. Initially inspired by research conducted at the University of Florida and The Evelyn F. and William McKnight Brain Institute, Banyan Biomarkers has made significant progress in developing and clinically validating novel enzyme linked immunosorbent assays (ELISAs) for traumatic brain injury (TBI). Banyan scientists have created an extensive pipeline of potential biomarkers and the company has a robust intellectual property portfolio. Jackson Streeter, Banyan''s CEO, has extensive experience in development of medical devices for acute brain injury. Currently no blood test exists for use by physicians to detect the presence and severity of brain trauma. Banyan Biomarkers'' research has identified unique and proprietary biomarkers present in the patient''s blood following injury to the brain. The detection and quantification of these biomarkers may provide early indications of brain trauma essential for earlier intervention and management. Banyan Biomarkers, Inc. offers preclinical and clinical sample analyses with a proven panel of neurological, psychiatric, neurodegenerative disease, and organ toxicity biomarker assays. The company provides analytical services to a wide range of customers including pharmaceutical companies, biotechnology companies and investigators at academic research institutes.

Proper citation: Banyan Biomarkers (RRID:SCR_004515) Copy   

•   Source: SciCrunch Registry

http://www.mri-resource.kennedykrieger.org/

Biomedical technology research center that provides expertise for the design of quantitative magnetic resonance imaging (MRI) and spectroscopy (MRS) data acquisition and processing technologies that facilitate the biomedical research of a large community of clinicians and neuroscientists in Maryland and throughout the USA. These methods allow noninvasive assessment of changes in brain anatomy as well as in tissue metabolite levels, physiology, and brain functioning while the brain is changing size during early development and during neurodegeneration, i.e. the changing brain throughout the life span. The Kirby Center has 3 Tesla and 7 Tesla state of the art scanners equipped with parallel imaging (8, 16, and 32-channel receive coils) and multi-transmit capabilities. CIS has an IBM supercomputer that is part of a national supercomputing infrastructure. Resources fall into the following categories: * MRI facilities, image acquisition, and processing * Computing facilities and image analysis * Novel statistical methods for functional brain imaging * Translating laboratory discoveries to patient treatment

Proper citation: National Resource for Quantitative Functional MRI (RRID:SCR_006716) Copy   

•   Source: SciCrunch Registry

http://www.strokecenter.org/radiology/

The Internet Stroke Center at Washington University is pleased to offer this module for viewing CT, MR, and angiogram images of cerebrovascular and neurological diseases. While this project is still being perfected -- and many more cases have yet to be added -- we hope that you will find this collection useful in your education and practice. The images presented here are for educational use only. This information may not be used for diagnosis or treatment. All images are protected property of the Internet Stroke Center at Washington University and may not be reproduced without permission. Permission may be granted to students and professionals to borrow images from this site for educational purposes and/or presentations; we just ask that an email be sent detailing both the desired material and the intended use. Please direct all comments, questions, and requests to the Site Editor of the Internet Stroke Center.

Proper citation: Neurology Image Library from The Internet Stroke Center (RRID:SCR_013633) Copy   

•   Source: SciCrunch Registry

http://www.cdtdb.neuroinf.jp/CDT/Top.jsp

A platform that allow users to visualize and analyze transcriptome data related to the genetics that underlie the development, function, and dysfunction stages and states of the brain. Users can search for cerebellar development genes by name, ID, keyword, expression, and tissue specificity. Search results include general information, links, temporal, spatial, and tissue information, and gene category.

Proper citation: Brain Transcriptome Database (RRID:SCR_014457) Copy   

•   Source: SciCrunch Registry

http://web.stanford.edu/group/barres_lab/brain_rnaseq.html

Database containing RNA-Seq transcriptome and splicing data from glia, neurons, and vascular cells of cerebral cortex. Collection of RNA-Seq transcriptome and splicing data from glia, neurons, and vascular cells of mouse cerebral cortex. RNA-Seq of cell types isolated from mouse and human brain.

Proper citation: Brain RNA-Seq (RRID:SCR_013736) 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://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.proteinatlas.org/

Open access resource for human proteins. Used to search for specific genes or proteins or explore different resources, each focusing on particular aspect of the genome-wide analysis of the human proteins: Tissue, Brain, Single Cell, Subcellular, Cancer, Blood, Cell line, Structure and Interaction. Swedish-based program to map all human proteins in cells, tissues, and organs using integration of various omics technologies, including antibody-based imaging, mass spectrometry-based proteomics, transcriptomics, and systems biology. All the data in the knowledge resource is open access to allow scientists both in academia and industry to freely access the data for exploration of the human proteome.

Proper citation: The Human Protein Atlas (RRID:SCR_006710) Copy   

•   Source: SciCrunch Registry

http://archive.cnbc.cmu.edu/Resources/disordermodels/index.html

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. This site aims to provide a discussion and source list for connectionist and neural network models of disorders associated with mental or brain conditions. Recent connectionist and neural network models of behavior, information processing patterns, and brain activity present in people with cognitive, affective, brain, and behavioral disorders are reviewed on this web site. Ways that assumptions regarding normal and disordered behavior may be represented in connectionist models are discussed for features of various disorders. Similarities and differences between the models and criteria for their evaluation are presented, and suggestions for inclusion of information which may help to make these models more directly comparable in the future are considered. References to Connectionist Models of Cognitive, Affective, Brain, and Behavioral Disorders include: General Neural Network Information Reviews, General Introductions, and Calls for More Connectionist Models of Mental Disorders Models of Psychopathologies and Psychiatric Disorders Models of Cognitive, Affective, Brain, and Behavioral Disorders Not Associated with Psychopathology Additionally, Web Sites for Neural Network Modelers of Disorder are provided.

Proper citation: Connectionist Models of Cognitive, Affective, Brain, and Behavioral Disorders (RRID:SCR_008088) Copy   

•   Source: SciCrunch Registry

http://neuroinformatics.usc.edu/

The USC Brain Project is engaged in the effort to develop new tools and methodologies for neuroinformatics in modeling neural mechanisms of visuomotor coordination and exploring the evolution of the human language-ready brain, as well as conducting work in both neural modeling and database construction in relation to rehabilitation after stroke. Sponsors: USCBP is funded by the University of Southern California.

Proper citation: University of Southern California Brain Project (RRID:SCR_008044) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/multixplore/

Graphical user interface that has been implemented as a 3D Slicer plugin (scripted module). It serves to display a corresponding set of cortical regions from functional connectivity matrix in an explorable 3D scene that represents brain anatomical environment. In addition to grey matter regions, MultiXplore automatically finds and extracts deterministic fiber bundles which exist between selected region(s) and adds them to the 3D environment. This feature helps in generating region-based fiber bundles given a desired whole-brain tractography data.

Proper citation: MultiXplore (RRID:SCR_014814) Copy   

•   Source: SciCrunch Registry

http://loni.usc.edu/Software/SVT

Software tool for determining the statistically significant regions of activation in single or multi-subject human brain functional studies. It can be also applied to structural brain data for analyzing developmental, dementia and other changes of anatomy over time. This package was originally developed to work on Sun SPARC and SGI stations using the "C" language compiler provided by Sun/SGI as part of the standard system software.

Proper citation: Sub-Volume Thresholding Analysis (RRID:SCR_008272) Copy   

•   Source: SciCrunch Registry

http://pivotcollections.org/collection.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 4th, 2023. Mouse brains displayed in the Microsoft Silverlight PivotViewer from the Mouse Brain Library (MBL) which consist of high-resolution images of brains from many genetically characterized strains of mice. PivotViewer makes it easier to interact with massive amounts of data on the web in ways that are powerful, informative, and fun. By visualizing thousands of related items at once, users can see trends and patterns that would be hidden when looking at one item at a time. Because PivotViewer leverages Deep Zoom, it displays full, high-resolution content without long load times, while the animations and natural transitions provide context and prevent users from feeling overwhelmed by large quantities of information. This simple, inviting interaction model encourages exploration and longer audience engagement times, and applies broadly to a variety of content types.

Proper citation: MBL Pivot Collection (RRID:SCR_005506) Copy   

•   Source: SciCrunch Registry