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http://sncid.stanleyresearch.org/

A database of 1749 neuropathological markers measured in 12 different brain regions from 60 brains in the Consortium Collection from the Stanley Medical Research Institute combined with microarray data and statistical tools. Fifteen brains each are from patients diagnosed with schizophrenia, bipolar disorder, or major depression, and unaffected controls. The four groups are matched by age, sex, race, postmortem interval, pH, side of brain, and mRNA quality. A Repository of raw data is also included. Users must register for access.

Proper citation: Stanley Neuropathology Consortium Integrative Database (RRID:SCR_002749) Copy   

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http://studyforrest.org

An MRI data repository that holds a set of 7 Tesla images and behavioral metadata. Multi-faceted brain image archive with behavioral measurements. For each participant a number of different scans and auxiliary recordings have been obtained. In addition, several types of minimally preprocessed data are also provided. The full description of the data release is available in a dedicated publication. This project invites anyone to participate in a decentralized effort to explore the opportunities of open science in neuroimaging by documenting how much (scientific) value can be generated out of a single data release by publication of scientific findings derived from a dataset, algorithms and methods evaluated on this dataset, and/or extensions of this dataset by acquisition and integration of new data.

Proper citation: studyforrest.org (RRID:SCR_003112) Copy   

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http://www.fly-trap.org/

Flytrap is an interactive database for displaying gene expression patterns, in particular P(GAL4) patterns, via an intuitive WWW based interface. This development consists of two components, the first being the HTML interface to the database and the second, a tool-kit for constructing and maintaining the database. The browser component of the project is entirely platform independent; based on javascript and HTML and therefore only requires a "standard" browser. This is to facilitate CD-ROM distribution and off-line browsing. Whether on-line or on CD, the basic browser structure does not reply on any server based scripts. Basic searching is now available. The search page uses javascript and will work off-line (i.e. from a CD-ROM copy). The construction tool-kit is UNIX based and requires an on-line web server. The tool-kit is used to compile the HTML browser interface from a simple database. The tool-kit part comprises a forms based HTML interface to the datasets allowing new information to b e added and updated very simply. We are also developing a java interface for the tool-kit that will enable us to edit and annotate images on-line. The basic browser interface is complete and a demonstration version can be accessed via the website. The first working version of the tool-kit is now on-line and is available for use.

Proper citation: flytrap (RRID:SCR_003075) Copy   

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http://brainmap.org/

A community database of published functional and structural neuroimaging experiments with both metadata descriptions of experimental design and activation locations in the form of stereotactic coordinates (x,y,z) in Talairach or MNI space. BrainMap provides not only data for meta-analyses and data mining, but also distributes software and concepts for quantitative integration of neuroimaging data. The goal of BrainMap is to develop software and tools to share neuroimaging results and enable meta-analysis of studies of human brain function and structure in healthy and diseased subjects. It is a tool to rapidly retrieve and understand studies in specific research domains, such as language, memory, attention, reasoning, emotion, and perception, and to perform meta-analyses of like studies. Brainmap contains the following software: # Sleuth: database searches and Talairach coordinate plotting (this application requires a username and password) # GingerALE: performs meta-analyses via the activation likelihood estimation (ALE) method; also converts coordinates between MNI and Talairach spaces using icbm2tal # Scribe: database entry of published functional neuroimaging papers with coordinate results

Proper citation: brainmap.org (RRID:SCR_003069) Copy   

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http://www.genepaint.org

Digital atlas of gene expression patterns in developing and adult mouse. Several reference atlases are also available through this site. Expression patterns are determined by non-radioactive in situ hybridization on serial tissue sections. Sections are available from several developmental ages: E10.5, E14.5 (whole embryos), E15.5, P7 and P56 (brains only). To retrieve expression patterns, search by gene name, site of expression, GenBank accession number or sequence homology. For viewing expression patterns, GenePaint.org features virtual microscope tool that enables zooming into images down to cellular resolution.

Proper citation: GenePaint (RRID:SCR_003015) Copy   

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http://braininfo.rprc.washington.edu

Portal to neuroanatomical information on the Web that helps you identify structures in the brain and provides a variety of information about each structure by porting you to the best of 1500 web pages at 100 other neuroscience sites. BrainInfo consists of three basic components: NeuroNames, a developing database of definitions of neuroanatomic structures in four species, their most common acronyms and their names in eight languages; NeuroMaps, a digital atlas system based on 3-D canonical stereotaxic atlases of rhesus macaque and mouse brains and programs that enable one to map data to standard surface and cross-sectional views of the brains for presentation and publication; and the NeuroMaps precursor: Template Atlas of the Primate Brain, a 2-D stereotaxic atlas of the longtailed (fascicularis) macaque brain that shows the locations of some 250 architectonic areas of macaque cortex. The NeuroMaps atlases will soon include a number of overlays showing the locations of cortical areas and other neuroscientific data in the standard frameworks of the macaque and mouse atlases. Viewers are encouraged to use NeuroNames as a stable source of unique standard terms and acronyms for brain structures in publications, illustrations and indexing systems; to use templates extracted from the NeuroMaps macaque and mouse brain atlases for presenting neuroscientific information in image format; and to use the Template Atlas for warping to MRIs or PET scans of the macaque brain to estimate the stereotaxic locations of structures.

Proper citation: BrainInfo (RRID:SCR_003142) Copy   

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http://briansimulator.org/

Software Python package for simulating spiking neural networks. Useful for neuroscientific modelling at systems level, and for teaching computational neuroscience. Intuitive and efficient neural simulator.

Proper citation: Brian Simulator (RRID:SCR_002998) Copy   

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http://developingmouse.brain-map.org/

Map of gene expression in developing mouse brain revealing gene expression patterns from embryonic through postnatal stages. Provides information about spatial and temporal regulation of gene expression with database. Feature include seven sagittal reference atlases created with a developmental ontology. These anatomic atlases may be viewed alongside in situ hybridization (ISH) data as well as by itself.

Proper citation: Allen Developing Mouse Brain Atlas (RRID:SCR_002990) Copy   

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http://www.brainsmatter.com/

Welcome to the Brains Matter podcast where brains really do matter. A discussion of science, trivia, history, and general knowledge. The show started in September 2006, and includes discussion on various topics, as well as interviews with experts in their field. You can subscribe to the show via iTunes, a standard RSS reader, or listen to the individual MP3 shows from the ''flash player'' on the website, or direct download.

Proper citation: Brains Matter (RRID:SCR_005847) Copy   

•   Source: SciCrunch Registry

http://brainnetworks.sourceforge.net

Brain Networks: Code to perform network analysis on brain imaging data.

Proper citation: Brain Networks (RRID:SCR_005841) Copy   

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http://mialab.mrn.org/index.html

MIALAB, headed by Dr. Vince Calhoun, focuses on developing and optimizing methods and software for quantitative analysis of structure and function in medical images with particular focus on the study of psychiatric illness. We work with many types of data, including functional magnetic resonance imaging (fMRI), diffusion tensor imaging (DTI), electroencephalography (EEG), structural imaging and genetic data. Much of our time is spent working on new methods for flexible analysis of brain imaging data. The use of data driven approaches is very useful for extracting potentially unpredictable patterns within these data. However such methods can be further improved by incorporating additional prior information as constraints, in order to benefit from what we know. To this end, we draw heavily from the areas of image processing, adaptive signal processing, estimation theory, neural networks, statistical signal processing, and pattern recognition.

Proper citation: MIALAB - Medical Image Analysis Lab (RRID:SCR_006089) Copy   

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http://www.brain-map.org/api/index.html

API and demo application for accessing the Allen Brain Atlas Mouse Brain data. Data available via the API includes download high resolution images, expression data from a 3D volume, 3D coordinates of the Allen Reference Atlas, and searching genes with similar gene expression profiles using NeuroBlast. Data made available includes: * High resolution images for gene expression, connectivity, and histology experiments, as well as annotated atlas images * 3-D expression summaries registered to a reference space for the Mouse Brain and Developing Mouse Brain * Primary microarray results for the Human Brain and Non-Human Primate * RNA sequencing results for the Developing Human Brain * MRI and DTI files for Human Brain The API consists of the following resources: * RESTful model access * Image download service * 3-D expression summary download service * Differential expression search services * NeuroBlast correlative searches * Image-to-image synchronization service * Structure graph download service

Proper citation: Allen Brain Atlas API (RRID:SCR_005984) Copy   

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http://connectomes.utah.edu/

A web-compliant application that allows connectomics visualization by converting datasets to web-optimized tiles, delivering volume transforms to client devices, and providing groups of users with connectome annotation tools and data simultaneously via conventional internet connections. Viking is an extensible tool for connectomics analysis and is generalizable to histomics applications.

Proper citation: Viking Viewer for Connectomics (RRID:SCR_005986) Copy   

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

A comprehensive processing pipeline developed and used at University of North Carolina and University of Utah for brain MRIs. The processing pipeline includes image registration, filtering, segmentation and inhomogeneity correction. The tool is cross-platform and can be run within 3D Slicer or as a stand-alone program. The image segmentation algorithm is based on the EMS software developed by Koen van Leemput.

Proper citation: ABC (Atlas Based Classification) (RRID:SCR_005981) Copy   

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http://www.fmriconsulting.com/brodmann/

An atlas that facilitates fMRI analysis understanding by providing access to all of the functions that have been associated with each of the 52 Brodmann's areas or corresponding gyri. Links to main publications supporting the findings are provided in PubMed ID format. Brodmann's areas with similar functions and locations have been collapsed into a single page. The word left or right has been added indicating a lateralized function. All the abstracts published on PubMed on fMRI and brain PET studies in which the Brodmann's area or its anatomical correlate were mentioned have been reviewed up to August 2008. Abstracts with poorly described experimental methods or findings clearly conflicting with established knowledge provided by the clinical model were excluded. Studies on patients were also excluded.

Proper citation: Brodmann's Interactive Atlas (RRID:SCR_006368) Copy   

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http://www.zebrafinch.org/

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 29, 2016. Project to advance understanding of the neural mechanisms of vocal learning by providing a quantitative description of the relationship between physiological variables and vocal performance over the course of development in a songbird, the zebra finch. They propose to study vocal learning dynamically across neuronal and peripheral subsystems, using a novel collaborative approach that will harness the combined expertise of several investigators. Their proposed research model will 1) provide simultaneous measurements of acoustic, articulatory and electrophysiological data that will document the detailed dynamics of the vocal imitation process in a standardized learning paradigm; and 2) incorporate these measurements into a theoretical/computational framework that simultaneously provides a phenomenological description and attempts to elucidate the mechanistic basis of the learning process.

Proper citation: Zebra Finch Song Learning Consortium (RRID:SCR_006356) Copy   

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http://brainvis.wustl.edu/wiki/index.php/Caret:About

Software package to visualize and analyze structural and functional characteristics of cerebral and cerebellar cortex in humans, nonhuman primates, and rodents. Runs on Apple (Mac OSX), Linux, and Microsoft Windows operating systems.

Proper citation: Computerized Anatomical Reconstruction and Editing Toolkit (RRID:SCR_006260) Copy   

•   Source: SciCrunch Registry

http://www.callisto-science.org/NSI/Neuroscience_Image_Database/Images%20of%20the%20Human%20Nervous%20System%20-%20Disease%20&%20Injury.html

A collection of images of the human nervous system focusing on disease and injury.

Proper citation: Human Nervous System Disease and Injury (RRID:SCR_006370) Copy   

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http://projectreporter.nih.gov/project_info_description.cfm?aid=8661937&icde=19363283&ddparam=&ddvalue=&ddsub=&cr=1&csb=default&cs=ASC

Initiative to assemble a multicenter team of expert neuroscientists to evaluate the late effects of Traumatic brain injury (TBI), including single and repetitive TBI of varying severity, and Chronic Traumatic Encephalopathy (CTE), using histological examination of postmortem bio specimens and neuroimaging tools as a foundation to develop in vivo diagnostics. As a first aim, this proposal will bring together a team of 5 accomplished neuropathologists in neurodegenerative disease to establish consensus criteria for the post-mortem diagnosis of CTE. This team will also define the stages of CTE pathology, the features that differentiate CTE from other neurodegenerations and the effects of substance abuse, and the characteristics of posttraumatic neurodegeneration after single TBI. As a second aim, this proposal will establish a national bio specimen and data bank for TBI (Understanding Neurological Injury and Traumatic Encephalopathy (UNITE) bio bank) by developing a nationwide brain donor registry and hotline to acquire high quality bio specimens and data. The UNITE bank will use strictly standardized protocols and a web-based interface to ensure that tissue and data are readily available to qualified investigators. Comprehensive retrospective clinical data including clinical symptoms, brain trauma and substance abuse history, and medical records (including common data elements) will be entered into a secure database. Behavioral/ mood dysfunction, cognitive changes, substance abuse and traumatic exposure will be correlated with quantitative assessment of the multifocal tauopathy, Ass deposition and axonal injury. As a third aim, neuroimaging signatures of the neuropathology will be determined in post-mortem tissue using high spatial resolution diffusion tensor imaging (DTI) and autoradiography using a highly selective PET ligand for tau. Quantitative assessment of axonal injury, tau, and Ass will be correlated with ex vivo DTI abnormalities and tau ligand autoradiography. Pilot neuroimaging studies of individuals at high risk for the development of CTE will also be conducted in the final 2 years of the proposal. This proposal will determine the clinical and neuroimaging correlates of CTE and posttraumatic neurodegeneration and create the groundwork for establishing their incidence and prevalence. This study will have a tremendous impact on public health of millions of Americans and greatly increase our understanding of the latent effects of brain trauma.

Proper citation: CTE and Post-traumatic Neurodegeneration: Neuropathology and Ex Vivo Imaging (RRID:SCR_006543) Copy   

•   Source: SciCrunch Registry

http://www.medschool.lsuhsc.edu/neuroscience/

Research center that takes multidisciplinary approach to neuroscience education and research. Research programs on molecular and cellular bases of neural diseases are the center of the innovative educational programs. Primary mission is to foster and conduct science that advances understanding of brain function and diseases that affect nervous system.

Proper citation: Louisiana State University School of Medicine Neurosciences Center (RRID:SCR_006446) Copy   

•   Source: SciCrunch Registry