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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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HUDSEN Human Gene Expression Spatial Database Resource Report Resource Website |
HUDSEN Human Gene Expression Spatial Database (RRID:SCR_006325) | HUDSEN Database | service resource, data or information resource, data repository, database, atlas, storage service resource | Database of a set of standard 3D virtual models at different stages of development from Carnegie Stages (CS) 12-23 (approximately 26-56 days post conception) in which various anatomical regions have been defined with a set of anatomical terms at various stages of development (known as an ontology). Experimental data is captured and converted to digital format and then mapped to the appropriate 3D model. The ontology is used to define sites of gene expression using a set of standard descriptions and to link the expression data to an ''''anatomical tree''''. Human data from stages CS12 to CS23 can be submitted to the HUDSEN Gene Expression Database. The anatomy ontology currently being used is based on the Edinburgh Human Developmental Anatomy Database which encompasses all developing structures from CS1 to CS20 but is not detailed for developing brain structures. The ontology is being extended and refined (by Prof Luis Puelles, University of Murcia, Spain) and will be incorporated into the HUDSEN database as it is developed. Expression data is annotated using two methods to denote sites of expression in the embryo: spatial annotation and text annotation. Additionally, many aspects of the detection reagent and specimen are also annotated during this process (assignment of IDs, nucleotide sequences for probes etc). There are currently two main ways to search HUDSEN - using a gene/protein name or a named anatomical structure as the query term. The entire contents of the database can be browsed using the data browser. Results may be saved. The data in HUDSEN is generated from both from researchers within the HUDSEN project, and from the wider scientific community. The HUDSEN human gene expression spatial database is a collaboration between the Institute of Human Genetics in Newcastle, UK, and the MRC Human Genetics Unit in Edinburgh, UK, and was developed as part of the Electronic Atlas of the Developing Human Brain (EADHB) project (funded by the NIH Human Brain Project). The database is based on the Edinburgh Mouse Atlas gene expression database (EMAGE), and is designed to be an openly available resource to the research community holding gene expression patterns during early human development. | embryonic human, anatomy, developmental stage, development, brain, gene expression, optical projection tomography, carnegie stage, in situ hybridization, immunohistochemistry, gene, ontology, anatomical structure, protein expression, embryonic development, annotation, embryo |
is related to: EMAGE Gene Expression Database is related to: Human Developmental Biology Resource has parent organization: HUDSEN |
NIMH 5RO1MH070370; EU FP6 Research Infrastructure Action Structuring the European Research Area Programme contract 011993; Spanish Ministry of Science and Innovation BFU2008-04156; SENECA Foundation contract 04548 �GERM �06-10891 |
PMID:20979583 | Open unspecified license, Acknowledgement requested | nlx_152026 | SCR_006325 | HUDSEN Gene Expression Database | 2026-07-28 09:41:34 | 0 | |||||
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MITRE Neuroinformatics Resource Report Resource Website |
MITRE Neuroinformatics (RRID:SCR_006508) | MITRE Neuroinfomatics | software application, data distribution software, data analysis software, software resource, data processing software, data visualization software, data transfer software, simulation software | This resource''s long-term goal is to develop informatics methodologies and tools that will increase the creativity and productivity of neuroscience investigators, as they work together to use shared human brain mapping data to generate and test ideas far beyond those pursued by the data''s originators. This resource currently has four major projects supporting this goal: * Database tools: The goal of the NeuroServ project is to provide neuroscience researchers with automated information management tools that reduce the effort required to manage, analyze, query, view, and share their imaging data. It currently manages both structural magnetic resonance image (MRI) datasets and diffusion tensor image (DTI) datasets. NeuroServ is fully web-enabled: data entry, query, processing, reporting, and administrative functions are performed by qualified users through a web browser. It can be used as a local laboratory repository, to share data on the web, or to support a large distributed consortium. NeuroServ is based on an industrial-quality query middleware engine MRALD. NeuroServ includes a specialized neuroimaging schema and over 40 custom Java Server Pages supporting data entry, query, and reporting to help manage and explore stored images. NeuroServ is written in Java for platform independence; it also utilizes several open source components * Data sharing: DataQuest is a collaborative forum to facilitate the sharing of neuroimaging data within the neuroscience community. By publishing summaries of existing datasets, DataQuest enables researchers to: # Discover what data is available for collaborative research # Advertise your data to other researchers for potential collaborations # Discover which researchers may have the data you need # Discover which researchers are interested in your data. * Image quality: The approach to assessing the inherent quality of an image is to measure how distorted the image is. Using what are referred to as no-reference or blind metrics, one can measure the degree to which an image is distorted. * Content-based image retrieval: NIRV (NeuroImagery Retrieval & Visualization) is a work environment for advanced querying over imagery. NIRV will have a Java-based front-end for users to issue queries, run processing algorithms, review results, visualize imagery and assess image quality. NIRV interacts with an image repository such as NeuroServ. Users can also register images and will soon be able to filter searches based on image quality. | brain, data, diffusion tensor image, distorted, human, imagery, image, informatics, investigator, laboratory, magnetic resonance image, mapping, neuroscience, structural, visualization, neuroimaging | Human Brain Project ; MITRE Technology Program ; NSF ; NIMH R01-MH64417 |
nif-0000-10469 | http://neuroinformatics.mitre.org/ | SCR_006508 | Neuroinfomatics at MITRE, Neuroinformatics: Exploring the Human Brain | 2026-07-28 09:41:34 | 0 | |||||||
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Phenotypes and eXposures Toolkit Resource Report Resource Website 50+ mentions |
Phenotypes and eXposures Toolkit (RRID:SCR_006532) | PhenX Toolkit | service resource, narrative resource, data set, data or information resource, catalog, database, standard specification | Set of measures intended for use in large-scale genomic studies. Facilitate replication and validation across studies. Includes links to standards and resources in effort to facilitate data harmonization to legacy data. Measurement protocols that address wide range of research domains. Information about each protocol to ensure consistent data collection.Collections of protocols that add depth to Toolkit in specific areas.Tools to help investigators implement measurement protocols. | PhenX project, genome, phenotype, genome-wide association study, genetic variation, genomic study, substance abuse, addiction, substance use, environmental exposure, disease susceptibility, outcome, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: RTI International has parent organization: Consensus Measures for Phenotype and Exposure has parent organization: Trans-Omics for Precision Medicine (TOPMed) Program has organization facet: PhenX Phenotypic Terms is organization facet of: Consensus Measures for Phenotype and Exposure |
NHGRI U01 HG004597; NHGRI U41HG007050; NIDA ; OBSSR ; NIMH ; NHLBI ; NIMHD ; TRSP ; NHGRI U24 HG012556; ODP ; NINDS ; NCI |
PMID:21749974 | Restricted | SCR_017475, biotools:PhenX_toolkit, nlx_144102 | https://bio.tools/PhenX_Toolkit | SCR_006532 | Phenotypes and eXposures Toolkit | 2026-07-28 09:41:36 | 61 | ||||
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Functional Connectivity Toolbox Resource Report Resource Website 100+ mentions |
Functional Connectivity Toolbox (RRID:SCR_006394) | Functional Connectivity Toolbox | software application, data analysis software, software resource, data processing software, software toolkit | MATLAB toolbox for performing functional connectivity analyses includes many of the most commonly-used approaches researchers have utilized to date for the identification of condition-dependent functional interactions between fMRI time-series obtained from two or more brain regions. The approaches are either bivariate or multivariate methods defined in time or frequency domains that emphasize distinct features of relationships among the time-series. | functional connectivity, fmri, matlab, brain region, brain, function, connectivity, neuroimaging, time-series | has parent organization: University of Pittsburgh; Pennsylvania; USA | NIMH K25 MH076981-01; NSF DMS-0904825; NIMH MH074807; NIMH MH082998 |
PMID:19520177 | Free | nlx_152228 | SCR_006394 | 2026-07-28 09:41:33 | 239 | ||||||
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BrainSuite Resource Report Resource Website 50+ mentions |
BrainSuite (RRID:SCR_006623) | BrainSuite | software application, software resource, data processing software, data visualization software, image analysis software | Suite of image analysis tools designed to process magnetic resonance images (MRI) of the human head. BrainSuite provides an automatic sequence to extract genus-zero cortical surface mesh models from the MRI. It also provides a set of viewing tools for exploring image and surface data. The latest release includes graphical user interface and command line versions of the tools. BrainSuite was specifically designed to guide its users through the process of cortical surface extraction. NITRC has written the software to require minimal user interaction and with the goal of completing the entire process of extracting a topologically spherical cortical surface from a raw MR volume within several minutes on a modern workstation. The individual components of BrainSuite may also be used for soft tissue, skull and scalp segmentation and for surface analysis and visualization. BrainSuite was written in Microsoft Visual C using the Microsoft Foundation Classes for its graphical user interface and the OpenGL library for rendering. BrainSuite runs under the Windows 2000 and Windows XP Professional operating systems. BrainSuite features include: * Sophisticated visualization tools, such as MRI visualization in 3 orthogonal views (either separately or in 3D view), and overlayed surface visualization of cortex, skull, and scalp * Cortical surface extraction, using a multi-stage user friendly approach. * Tools including brain surface extraction, bias field correction, voxel classification, cerebellum removal, and surface generation * Topological correction of cortical surfaces, which uses a graph-based approach to remove topological defects (handles and holes) and ensure a tessellation with spherical topology * Parameterization of generated cortical surfaces, minimizing a harmonic energy functional in the p-norm * Skull and scalp surface extraction | brain, magnetic resonance, image, analysis, human, topology, segmentation, visualization, cortex, cortical, mri, tissue classification, topological correction, rendering, edit, cortical surface |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: Biomedical Informatics Research Network |
NIBIB R01 EB002010; NCRR P41 RR013642; NIMH RO1-MH53213 |
PMID:12045000 | nif-0000-30214 | http://www.nitrc.org/projects/brainsuite | SCR_006623 | Brain Suite | 2026-07-28 09:41:38 | 93 | |||||
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WebGestalt: WEB-based GEne SeT AnaLysis Toolkit Resource Report Resource Website 1000+ mentions |
WebGestalt: WEB-based GEne SeT AnaLysis Toolkit (RRID:SCR_006786) | WebGestalt | software resource, web application, data access protocol, web service | Web based gene set analysis toolkit designed for functional genomic, proteomic, and large-scale genetic studies from which large number of gene lists (e.g. differentially expressed gene sets, co-expressed gene sets etc) are continuously generated. WebGestalt incorporates information from different public resources and provides a way for biologists to make sense out of gene lists. This version of WebGestalt supports eight organisms, including human, mouse, rat, worm, fly, yeast, dog, and zebrafish. | proteomic, gene expression, genome wide association study, statistical analysis, functional genomics, protein protein interaction, pathway, regulatory module, analysis toolkit, web application |
is listed by: Gene Ontology Tools is listed by: OMICtools is related to: Gene Ontology is related to: Entrez Gene is related to: KEGG is related to: Pathway Commons is related to: WikiPathways is related to: PheWAS Catalog is related to: webgestaltr has parent organization: Vanderbilt University; Tennessee; USA |
NIAAA U01 AA016662; NIAAA U01 AA013512; NIDA P01 DA015027; NIMH P50 MH078028; NIMH P50 MH096972; NCI U24 CA159988; NIGMS R01 GM088822 |
PMID:24233776 PMID:15980575 PMID:14975175 |
Free, Freely available | OMICS_02222, nif-0000-30622 | http://bioinfo.vanderbilt.edu/webgestalt/ | SCR_006786 | GOTM, Gene Ontology Tree Machine, WebGestalt2, WEB-based GEne SeT AnaLysis Toolkit, WebGestalt | 2026-07-28 09:41:37 | 2760 | ||||
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NIMH Division of Intramural Research Programs Resource Report Resource Website 1+ mentions |
NIMH Division of Intramural Research Programs (RRID:SCR_006860) | DIRP | training resource, data or information resource, organization portal, postdoctoral program resource, portal | The Division of Intramural Research Programs (DIRP) at the National Institute of Mental Health (NIMH) is the internal research division of the NIMH. NIMH DIRP scientists conduct research ranging from studies into mechanisms of normal brain function, conducted at the behavioral, systems, cellular, and molecular levels, to clinical investigations into the diagnosis, treatment and prevention of mental illness. Major disease entities studied throughout the lifespan include mood disorders and anxiety, schizophrenia, obsessive-compulsive disorder, attention deficit hyperactivity disorder, and pediatric autoimmune neuropsychiatric disorders. Because of its outstanding resources, unique funding mechanisms, and location in the nation''s capital, the DIRP is viewed as a national resource, providing unique opportunities in mental health research and research training. Training is conducted in all the Institute''s clinical branches and basic neuroscience laboratories located on the 305-acre National Institutes of Health campus in Bethesda, Maryland. In addition to individualized trainee/mentor-driven postdoctoral training opportunities in the clinical and basic sciences, the DIRP offers Postbaccalaureate Research Training Awards, a Clinical Electives Program, as well as a variety of Summer Research Fellowships and an Undergraduate Internship Program. The mission of the division is to plan and conduct basic, clinical, and translational research to advance understanding of the diagnosis, causes, treatment, and prevention of mental disorders through the study of brain function and behavior; conduct state-of-the-art research that, in part, complements extramural research activities and exploits the special resources of the National Institutes of Health; and provide an environment conducive to the training and development of clinical and basic scientists. In addition the DIRP fosters standards of excellence in the ethical treatment and the provision of clinical care to research subjects; serve as a resource to the NIMH in responding to requests made by the Administration, members of Congress, and citizens'' groups for information regarding mental disorders; and analyzes and evaluates national needs and research opportunities and provides advice to the Institute Director on matters of scientific interest. Core Facilities: * Functional MRI Core * Magnetic Resonance Core * Magnetoencephalography Core * Microarray Core * Neurophysiology Imaging Facility * Non-Human Primate Core * Scientific and Statistical Computing Core * Section on Instrumentation Core * Transgenic Core * Veterinary Medicine Resources |
has parent organization: National Institute of Mental Health is parent organization of: Genes Cognition and Psychosis Program is parent organization of: NIMH CORTEX is parent organization of: NIMH DIRP Scientific and Statistical Computing Core is parent organization of: NIMH Intramural Research Program Clinical Brain Disorders Branch |
NIMH | nlx_143686 | SCR_006860 | NIMH DIRP, Division of Intramural Research Programs at the National Institute of Mental Health, National Institute of Mental Health Intramural Research Program, DIRP at the NIMH, NIMH Intramural Research Program | 2026-07-28 09:41:38 | 3 | ||||||||
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MRM NeAt (Neurological Atlas) Mouse Brain Database Resource Report Resource Website 1+ mentions |
MRM NeAt (Neurological Atlas) Mouse Brain Database (RRID:SCR_007053) | MRM NeAt | data or information resource, database, atlas, image collection, reference atlas | 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. | phenotype, mouse, brain, computational biology, in vivo, mouse brain atlas, magnetic resonance microscopy, mouse brain morphometry, image registration, in vitro, 3d brain atlas, adult mouse, male, c57bl/6j, autosegmentation, probabilistic atlas, t2 weighted protocol |
is related to: Mouse Brain Image Visualizer (MBIV) is related to: MRM NeAt (Neurological Atlas) Mouse Brain Database Image Gallery has parent organization: University of Florida; Florida; USA is parent organization of: MRM NeAt (Neurological Atlas) Mouse Brain Database Image Gallery |
National High Magnetic Field Laboratory ; NIBIB R01 EB 0023304; NCRR P41 RR16105; NIMH P50 MH58911 |
PMID:16165303 PMID:18958199 |
Registration required | nlx_59497 | http://brainatlas.mbi.ufl.edu | SCR_007053 | Magnetic Resonance Microimaging Neurological Atlas Mouse Brain Database, MRM Neurological Atlas Mouse Brain Database, C57BL/6J Mouse Atlas, Atlas of Adult C57BL/6J Mouse Brain, MRM NeAt Mouse Brain Database | 2026-07-28 09:41:43 | 8 | ||||
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BrainMaps.org Resource Report Resource Website 50+ mentions |
BrainMaps.org (RRID:SCR_006878) | BrainMaps | service resource, data or information resource, data repository, image repository, atlas, storage service resource | 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. | aves, brain connection, callicebus moloch, c. auratus, connectivity, monodelphis, o. anatinus, tachyglossidae, brain mapping, virtual microscopy, brain atlas, non-primate, nissl stain, nissl, parvalbumin, smi-32, acetylcholinesterase, luxol fast blue, calbindin, myelin, neuroanatomy, image, brain structure, brain function, database, serial section, brain, tract tracing, coronal, horizontal, sagittal, web service, gene, FASEB list |
is used by: NIF Data Federation is used by: Integrated Datasets is used by: Integrated Nervous System Connectivity is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: University of California at Davis; California; USA |
NIMH 2 P20 MH60975; NIMH R01 MH77556 |
PMID:17229579 | Acknowledgement requested | nif-0000-00093, r3d100012117 | http://www.nitrc.org/projects/brainmaps, https://doi.org/10.17616/R3Q64W | SCR_006878 | BrainMaps: An Interactive Multiresolution Brain Atlas, BrainMaps.org: High Resolution Brain Atlases, BrainMaps | 2026-07-28 09:41:38 | 78 | ||||
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NIMH DIRP Scientific and Statistical Computing Core Resource Report Resource Website |
NIMH DIRP Scientific and Statistical Computing Core (RRID:SCR_006958) | SSCC, NIMH DIRP SSCC | data or information resource, topical portal, portal | Scientific and Statistical Computing Core of the NIMH Intramural Research Program supporting functional neuroimaging research at the NIH. This includes development of new data analysis techniques, their implementation in the AFNI software, advising researchers on the analysis methods, and instructing them in the use of software tools. Support methods: A. Provision of software for analysis for FMRI data (AFNI package: http://afni.nimh.nih.gov) * AFNI has been developed for the last 10 years by Dr Cox, et al. (6 years in Milwaukee, 4 years at NIMH) * Formal and informal instruction in the use of AFNI, including outlines of the statistical methods used in the programs * Installation of AFNI on NIH computers (Mac OS X, Unix, Linux) approximately 120 NIH systems have used AFNI in the last month (80 NIMH, 20 NINDS, 20 other) * Realtime monitoring of FMRI data at scanners * Continuing development of new modules for AFNI to meet needs of NIH researchers B. Consulting with NIH researchers about FMRI data analysis issues, concerns, and methods | neuroimaging, functional neuroimaging, research, data analysis, analysis, software, tool, fmri, statistics, computing | has parent organization: NIMH Division of Intramural Research Programs | NIMH | nlx_144305 | SCR_006958 | NIMH DIRP Scientific Statistical Computing Core, Scientific and Statistical Computing Core, DIRP Scientific and Statistical Computing Core, Scientific Statistical Computing Core | 2026-07-28 09:41:39 | 0 | |||||||
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Computational Neuroanatomy Group Resource Report Resource Website |
Computational Neuroanatomy Group (RRID:SCR_007150) | CNG | data or information resource, topical portal, portal, software resource | Multidisciplinary research team devoted to the study of basic neuroscience with a specific interest in the description and generation of dendritic morphology, and in its effect on neuronal electrophysiology. In the long term, they seek to create large-scale, anatomically plausible neural networks to model entire portions of a mammalian brain (such as a hippocampal slice, or a cortical column). Achievements by the CNG include the development of software for the quantitative analysis of dendritic morphology, the implementation of computational models to simulate neuronal structure, and the synthesis of anatomically accurate, large scale neuronal assemblies in virtual reality. Based on biologically plausible rules and biophysical determinants, they have designed stochastic models that can generate realistic virtual neurons. Quantitative morphological analysis indicates that virtual neurons are statistically compatible with the real data that the model parameters are measured from. Virtual neurons can be generated within an appropriate anatomical context if a system level description of the surrounding tissue is included in the model. In order to simulate anatomically realistic neural networks, axons must be grown as well as dendrites. They have developed a navigation strategy for virtual axons in a voxel substrate. | dendritic morphology, neuronal morphology, neuronal electrophysiology, mammalian brain, neural network, cell, model, morphology, network connectivity, basal ganglia, modeling software, hippocampus, hermissenda learning, caulescence, tree structure, neuron, virtual neural network, morphological class of neuron, virtual neuron, virtual brain, ca3 pyramidal cell, arborvitae, ca1 pyramidal cell, polymorphic cell, dg granule cell, axonal navigation, synaptic connectivity, neuroplasticity, neuroanatomy, neuroinformatics, computation, network model, neural circuit, cellular event, expression, ca3, ca1 pyramidal neuron, digital morphological reconstruction, digital reconstruction, dendrite, axon, neuronal tree, signaling pathway |
has parent organization: George Mason University: Krasnow Institute for Advanced Study is parent organization of: L-Measure is parent organization of: Hippocampus 3D Model |
NINDS ; NIMH ; NSF ; Human Brain Project |
nif-0000-00503 | http://krasnow.gmu.edu/cn3/index3.html | SCR_007150 | Computational Neuroanatomy Group at the Krasnow Institute for Advanced Study | 2026-07-28 09:41:42 | 0 | ||||||
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ModelDB Resource Report Resource Website 100+ mentions |
ModelDB (RRID:SCR_007271) | ModelDB | service resource, data or information resource, data repository, database, storage service resource | Curated database of published models so that they can be openly accessed, downloaded, and tested to support computational neuroscience. Provides accessible location for storing and efficiently retrieving computational neuroscience models.Coupled with NeuronDB. Models can be coded in any language for any environment. Model code can be viewed before downloading and browsers can be set to auto-launch the models. The model source code has to be available from publicly accessible online repository or WWW site. Original source code is used to generate simulation results from which authors derived their published insights and conclusions. | repository, collection, network, neuron, computational, neuroscience, model, simulation, neural, data |
is used by: NIF Data Federation lists: ModelRun is listed by: 3DVC is listed by: Biositemaps is listed by: Integrated Models is related to: SimToolDB is related to: NeuronDB is related to: NeuronVisio is related to: Integrated Manually Extracted Annotation is related to: Allen Institute for Brain Science has parent organization: Yale University; Connecticut; USA works with: MicrocircuitDB |
NIMH ; NINDS ; NCI ; Human Brain Project ; NIDCD P01 DC004732; NIDCD R01 DC009977 |
PMID:15218350 PMID:15055399 PMID:8930855 |
Free, Freely available, Acknowledgement requested | nif-0000-00004, r3d100011330 | https://doi.org/10.17616/R3P61F | SCR_007271 | Model_DB, Model Database, Model DB, Model-DB | 2026-07-28 09:41:46 | 304 | ||||
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BrainML Resource Report Resource Website |
BrainML (RRID:SCR_007087) | BrainML | service resource, narrative resource, data or information resource, data repository, database, standard specification, storage service resource |
Set of standards and practices for using XML to facilitate information exchange between user application software and neuroscience data repositories. It allows for common shared library routines to handle most of the data processing, but also supports use of structures specialized to the needs of particular neuroscience communities. This site also serves as a repository for BrainML models. (A BrainML model is an XML Schema and optional vocabulary files describing a data model for electronic representation of neuroscience data, including data types, formats, and controlled vocabulary. ) It focuses on layered definitions built over a common core in order to support community-driven extension. One such extension is provided by the new NIH-supported neuroinformatics initiative of the Society for Neuroscience, which supports the development of expert-derived terminology sets for several areas of neuroscience. Under a cooperative agreement, these term lists will be made available Open Source on this site. The repository function of this site includes the following features: * BrainML models are published in searchable, browsable form. * Registered users may submit new models or new versions of existing models to accommodate data of interest. * BrainML model schema and vocabulary files are made available at fixed URLs to allow software applications to reference them. * Users can check models and/or instance documents for correct format before submitting them using an online validation service. To complement the BrainML modeling language, a set of protocols have been developed for BrainML document exchange between repositories and clients, for indexing of repositories, and for data query. |
format, development, information, mechanism, metaformat, model, neuroinformatics, neuroscience, standard, terminology, validation, vocabulary, xml, data sharing, xml schema compact syntax, xml schema, interoperability, semantics |
is used by: Neurodatabase.org has parent organization: Weill Cornell Medical College; New York; USA |
Human Brain Project ; NIMH MH/NS57153; NINDS MH/NS57153 |
Public, The community can contribute to this resource | nif-0000-21070 | http://brainml.org | SCR_007087 | BrainML.org | 2026-07-28 09:41:43 | 0 | |||||
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Brain Research Institute Biobank Resources Resource Report Resource Website |
Brain Research Institute Biobank Resources (RRID:SCR_008756) | brain bank, tissue bank, biomaterial supply resource, material resource | Brain bank resources which include postmortem human frozen brain tissue and matched cerebrospinal fluid (CSF) and blood available for scientists to search for etiopathogeneses of human disease. The National Neurological Research Specimen Bank and the Multiple Sclerosis Human Neurospecimen Bank maintains a collection of quick frozen and formalin fixed postmortem human brain tissue and frozen cerebrospinal fluid from patients with neurological diseases, including Alzheimer's Disease, amyotrophic lateral sclerosis, depressive disorder/suicide, and epilepsy, among others. Diagnoses are documented by clinical medical records and gross/microscopic neuropathology. The Neuropathology Laboratory at the UCLA Medical Center maintains a bank of frozen, formalin and paraformaldehyde-fixed and paraffin-embedded postmortem human brain tissues and frozen cerebrospinal fluid (CSF) from patients who die with Alzheimer's disease and other dementing and degenerative illnesses, as well as control materials removed in a similar fashion from patients who are neurologically normal. | postmortem, brain, coronal, brain tissue, cerebral spinal fluid, blood, cerebral spinal fluid cell, cell-free cerebral spinal fluid, serum, plasma, buffy coat, frozen, formalin fixed, paraformaldehyde-fixed, paraffin-embedded, neurological disease, alzheimer's disease, amyotrophic lateral sclerosis, depressive disorder, suicide, epilepsy, huntington's disease, multiple sclerosis, parkinson's disease, progressive supranuclear palsy, schizophrenia, stroke, cerebrovascular accident, fronto-temporal dementia, neurologically normal, coronal section, control, clinical data |
is listed by: One Mind Biospecimen Bank Listing has parent organization: Brain Research Institute |
Neurological disease, Alzheimer's disease, Amyotrophic Lateral Sclerosis, Depressive Disorder, Suicide, Epilepsy, Huntington's disease, Multiple Sclerosis, Parkinson's disease, Progressive Supranuclear Palsy, Schizophrenia, Stroke, Cerebrovascular Accident, Fronto-temporal dementia, Aging | NINDS ; NIMH ; National MS Society ; United States Department of Veterans Affairs ; Veterans Affairs West Los Angeles Healthcare Center ; NIA |
Public, Available to the research community | nlx_143996 | http://www.bri.ucla.edu/bri_research/research_resources.asp | SCR_008756 | Brain Research Institute Research Resources, Brain Research Institute Biobanks, BRI Research Resources, BRI Biobanks, BRI Biobank Resources | 2026-07-28 09:42:12 | 0 | |||||
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Connectome Workbench Resource Report Resource Website 50+ mentions |
Connectome Workbench (RRID:SCR_008750) | CWB, wb_view, wb_command, wb_import | source code, software toolkit, software resource | Software brain visualization, analysis and discovery tool for fMRI and dMRI brain imaging data, including functional and structural connectivity data generated by the Human Connectome Project. Used to map brain imaging data. Allows for visualization of outputs from HCP pipelines from single subject, or average data from group of subjects and register that data onto standard brain atlas. | visualization, connectivity, brain, human, fMRI, dMRI, brain imaging data, map neuroimaging data, |
is used by: BRAIN Initiative Cell Atlas Network is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: FAIRsharing is related to: BALSA is related to: Washington University in St. Louis; Missouri; USA works with: ConnectomeDB works with: NIMP: Neuroanatomy-anchored Information Management Platform for Collaborative BICAN Data Generation |
NIH Blueprint for Neuroscience Research ; NIMH MH060974 |
Free, Available for download, Freely available | nlx_143924 | http://www.nitrc.org/projects/workbench, https://github.com/Washington-University/workbench, https://www.humanconnectome.org/software/workbench-command, https://www.humanconnectome.org/software/get-connectome-workbench, http://humanconnectome.org/connectome/connectome-workbench.html | SCR_008750 | 2026-07-28 09:42:23 | 56 | ||||||
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Human Connectome Coordination Facility Resource Report Resource Website 500+ mentions |
Human Connectome Coordination Facility (RRID:SCR_008749) | WU-Minn HCP | data repository, service resource, storage service resource, image repository | Consortium to comprehensively map long-distance brain connections and their variability. It is acquiring data and developing analysis pipelines for several modalities of neuroimaging data plus behavioral and genetic data from healthy adults. | brain, connectivity, adult human, mri, resting-state fmri, functional mri assay, neuroimaging, surface rendering, time domain analysis, tractography, xnat pipeline |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: FSL is related to: Brain Connectivity Toolbox is related to: FieldTrip is related to: BALSA has parent organization: Washington University in St. Louis; Missouri; USA has parent organization: NIH Human Connectome Project has parent organization: University of Minnesota Twin Cities; Minnesota; USA is parent organization of: WU-Minn HCP 500 Subjects MR and MEG Release |
healthy, twin | NIMH MH091657; NIH Blueprint for Neuroscience Research |
PMID:23684880 PMID:23702419 PMID:23668970 PMID:23702415 PMID:23702418 PMID:23707591 PMID:23702417 PMID:23684877 |
Free, Freely available | nlx_143922 | http://www.nitrc.org/projects/hcp_wuminn, http://www.humanconnectome.org/documentation/S500/ | SCR_008749 | HCP WU-Minn Consortium, WU-Minn: Human Connectome Project, HUMAN CONNECTOME PROJECT WU-Minn Consortium, WU-Minn Consortium: Human Connectome Project, WU-Minn Consortium: HCP | 2026-07-28 09:42:15 | 964 | |||
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Neuroscience and Psychiatry Module 2: Fear/Safety Anxiety and Anxiety Disorders Resource Report Resource Website |
Neuroscience and Psychiatry Module 2: Fear/Safety Anxiety and Anxiety Disorders (RRID:SCR_008843) | Neuroscience and Psychiatry Module 2, Neuroscience Psychiatry Module 2 | data or information resource, narrative resource, video resource, training material | This is the second in a series of modules on neuroscience and psychiatry. This module describes neuroscience research on animal models of fear that informed human studies of fear/safety, anxiety and anxiety disorders. This model helps shed light on the symptoms of PTSD and lead to the development of a novel treatment that has been successful in research studies for several anxiety disorders. | neuroscience, psychiatry, fear, safety, anxiety, anxiety disorder, human, animal model, post-traumatic stress disorder, treatment |
is related to: Neuroscience and Psychiatry Module 1: Translating Neural Circuits into Novel Therapeutics has parent organization: NIMH Educational Resources |
NIMH | nlx_146229 | SCR_008843 | Neuroscience Psychiatry Module 2: Fear/Safety Anxiety Anxiety Disorders, Fear/Safety Anxiety and Anxiety Disorders | 2026-07-28 09:42:14 | 0 | |||||||
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Treatment of SSRI-resistant Depression in Adolescents (TORDIA) Resource Report Resource Website |
Treatment of SSRI-resistant Depression in Adolescents (TORDIA) (RRID:SCR_008831) | TORDIA | research forum portal, disease-related portal, data or information resource, clinical trial, topical portal, portal | A multi-site, clinical research study examining treatment options for teens whose depression has not improved after one adequate trial of a selective serotonin reuptake inhibitor (SSRI), a type of antidepressant. The purpose of the study is to determine how best to treat adolescents with depression that is resistant to the first SSRI antidepressant they have tried. Participants receive one of three other antidepressant medications, either alone or in combination with cognitive behavioral therapy. The TORDIA study aims to develop useful clinical guidelines for the care and management of adolescent depression. Adolescents ages 12 to 18, currently taking a prescribed selective serotonin reuptake inhibitor (SSRI) and still experiencing depression, participate in a 12-week randomized treatment study that includes one of four conditions: (1) switching to an alternative SSRI, (2) switching to a different non-SSRI antidepressant, (3) switching to an alternative SSRI and receiving cognitive behavioral therapy (CBT), or (4) switching to a different non-SSRI antidepressant and receiving CBT. This is a double-blind study, which means that neither the participant nor the clinical staff will know which of the three possible medications has been assigned. Participants who respond to the assigned treatment will receive 12 additional weeks of the same treatment. Those who do not appear to be getting better will be offered 12 weeks of an alternative, individualized treatment plan based on each participant''s particular needs. All participants will receive follow-up psychiatric evaluations for 12 months after the 12-week continuation phase of the study, regardless of treatment adherence. For more information visit, http://www.clinicaltrials.gov/ct2/show/NCT00018902?term=clinical+trial+AND+treatment+of+ssri-resistant+AND+depression+AND+TORDIA+AND+study&rank=1 | young human, adolescent, depression, depressive disorder, clinical trial, selective serotonin reuptake inhibitor, antidepressant, nct00018902, drug, fluoxetine, venlafaxine, behavioral therapy, cognitive behavioral therapy, citalopram, treatment |
is used by: Limited Access Datasets From NIMH Clinical Trials has parent organization: ClinicalTrials.gov |
Depressive Disorder, Resistant to the first SSRI antidepressant | NIMH | PMID:20478877 | nlx_146237 | SCR_008831 | Treatment of SSRI-resistant Depression in Adolescents | 2026-07-28 09:42:16 | 0 | |||||
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BMAP - Brain Molecular Anatomy Project Resource Report Resource Website 1+ mentions |
BMAP - Brain Molecular Anatomy Project (RRID:SCR_008852) | BMAP | funding resource, data or information resource, topical portal, portal | The Brain Molecular Anatomy Project is a trans-NIH project aimed at understanding gene expression and function in the nervous system. BMAP has two major scientific goals: # Gene discovery: to catalog of all the genes expressed in the nervous system, under both normal and abnormal conditions. # Gene expression analysis: to monitor gene expression patterns in the nervous system as a function of cell type, anatomical location, developmental stage, and physiological state, and thus gain insight into gene function. In pursuit of these goals, BMAP has launched several initiatives to provide resources and funding opportunities for the scientific community. These include several Requests for Applications and Requests for Proposals, descriptions of which can be found in this Web site. BMAP is also in the process of establishing physical and electronic resources for the community, including repositories of cDNA clones for nervous system genes, and databases of gene expression information for the nervous system. Most of the BMAP initiatives so far have focused on the mouse as a model species because of the ease of experimental and genetic manipulation of this organism, and because many models of human disease are available in the mouse. However, research in humans, other mammalian species, non-mammalian vertebrates, and invertebrates is also being funded through BMAP. For the convenience of interested investigators, we have established this Web site as a central information resource, focusing on major NIH-sponsored funding opportunities, initiatives, genomic resources available to the research community, courses and scientific meetings related to BMAP initiatives, and selected reports and publications. When appropriate, we will also post initiatives not directly sponsored by BMAP, but which are deemed relevant to its goals. Posting decisions are made by the Trans-NIH BMAP Committee |
has parent organization: National Institutes of Health is parent organization of: BMAP cDNA Resources |
Aging | NINDS ; NIMH ; NIDA ; NEI ; NIA ; NIAAA ; NICHD ; NIDCD ; NIEHS ; NHGRI ; NIGMS |
nlx_149083 | SCR_008852 | Brain Molecular Anatomy Project, Trans-NIH Brain Molecular Anatomy Project | 2026-07-28 09:42:24 | 6 | |||||||
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NIMH Intramural Research Program Clinical Brain Disorders Branch Resource Report Resource Website 10+ mentions |
NIMH Intramural Research Program Clinical Brain Disorders Branch (RRID:SCR_008728) | CBDB | data or information resource, topical portal, portal | THIS RESOURCE IS NO LONGER IN SERVICE, documented on February 07, 2013. A multidisciplinary neuroscience laboratory in which basic and clinical scientists work side by side exploring neural mechanisms and models of mental and cognitive function and of neuropsychiatric illness. Experiments are performed at many levels of inquiry, from basic molecular biology of the gene to clinical examinations of patients. A major area of investigation of this laboratory is the genetic mechanisms implicated in the pathogenesis of schizophrenia and its treatment. The laboratory is organized as a multi-disciplinary team of investigators with a common mission: to identify and fully characterize basic genetic and neurobiological mechanisms of schizophrenia and related cognitive and emotional disorders. The various components of this effort are centered various different units or divisions represented by groups of investigators, at various levels of training and experience, working on related experiments. The Director of the Branch and of the Genes, Cognition and Psychosis Program (GCAP) is Daniel R. Weinberger, M.D. The CBDB is the principle research laboratory in the created (2003) Genes, Cognition, and Psychosis Program (GCAP) of the NIMH. After twelve years of residing on the pastoral grounds of St. Elizabeths Hospital, in Southeast Washington, CBDB moved back to the main NIH campus in Bethesda, Maryland in 1998. While the unique setting of St. Elizabeths is irreplaceable, we have occupied beautiful new laboratories and clinic spaces that were created for us, and we are in the mainstream of NIH life., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | mental function, cognitive function, gene, clinical, treatment, pathogen |
is related to: Genes Cognition and Psychosis Program has parent organization: NIMH Division of Intramural Research Programs is parent organization of: NIMH Brain Tissue Collection |
Schizophrenia, Neuropsychiatric illness, Cognitive disorder, Emotional disorder | NIMH | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_143685 | SCR_008728 | NIMH Clinical Brain Disorders Branch, Clinical Brain Disorders Branch | 2026-07-28 09:42:23 | 13 |
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