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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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MATRICS - Measurement And Treatment Research to Improve Cognition in Schizophrenia Resource Report Resource Website 1+ mentions |
MATRICS - Measurement And Treatment Research to Improve Cognition in Schizophrenia (RRID:SCR_005644) | MATRICS | knowledge environment | Cognitive deficits -- including impairments in areas such as memory, attention, and executive function -- are a major determinant and predictor of long-term disability in schizophrenia. Unfortunately, available antipsychotic medications are relatively ineffective in improving cognition. Scientific discoveries during the past decade suggest that there may be opportunities for developing medications that will be effective for improving cognition in schizophrenia. The NIMH has identified obstacles that are likely to interfere with the development of pharmacological agents for treating cognition in schizophrenia. These include: (1) a lack of a consensus as to how cognition in schizophrenia should be measured; (2) differing opinions as to the pharmacological approaches that are most promising; (3) challenges in clinical trial design; (4) concerns in the pharmaceutical industry regarding the US Food and Drug Administration''s (FDA) approaches to drug approval for this indication; and (5) issues in developing a research infrastructure that can carry out clinical trials of promising drugs. The MATRICS program will bring together representatives of academia, industry, and government in a consensus process for addressing all of these obstacles. Specific goals of the NIMH MATRICS are: * To catalyze regulatory acceptance of cognition in schizophrenia as a target for drug registration. * To promote development of novel compounds to enhance cognition in schizophrenia. * Leverage economic research power of industry to focus on important but neglected clinical targets. * Identify lead compounds and if deemed feasible, support human proof of concept trials for cognition in schizophrenia. | schizophrenia, cognitive deficit, memory, attention, executive function, disability, cognition, clinical | has parent organization: University of California at Los Angeles; California; USA | Schizophrenia | NIMH | nlx_146271 | SCR_005644 | Measurement And Treatment Research to Improve Cognition in Schizophrenia, Measurement Treatment Research to Improve Cognition in Schizophrenia | 2026-08-01 12:02:57 | 6 | ||||||
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Open Ephys: Pulse Pal Resource Report Resource Website 1+ mentions |
Open Ephys: Pulse Pal (RRID:SCR_017203) | instrument resource | Open source pulse train generator that allows users to create and trigger software defined trains of voltage pulses with high temporal precision. Generates precisely timed pulse sequences for use in research involving electrophysiology or psychophysics. | instrument, generator, stimulation, voltage, puls, sequence, electrophysiology, psychophysics | NINDS R01 NS07553; NIMH R01 MH097061; McKnight Foundation |
DOI:10.3389/fneng.2014.00043 | Available for purchase | https://sanworks.io/shop/viewproduct?productID=1102, https://github.com/sanworks/PulsePal, https://sites.google.com/site/pulsepalwiki/specifications?authuser=0 | SCR_017203 | Pulse Pal v2 | 2026-08-01 12:05:47 | 1 | |||||||
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PennCNV Resource Report Resource Website 100+ mentions |
PennCNV (RRID:SCR_002518) | PennCNV | software resource | A free software tool for Copy Number Variation (CNV) detection from SNP genotyping arrays. Currently it can handle signal intensity data from Illumina and Affymetrix arrays. With appropriate preparation of file format, it can also handle other types of SNP arrays and oligonucleotide arrays. PennCNV implements a hidden Markov model (HMM) that integrates multiple sources of information to infer CNV calls for individual genotyped samples. It differs form segmentation-based algorithm in that it considered SNP allelic ratio distribution as well as other factors, in addition to signal intensity alone. In addition, PennCNV can optionally utilize family information to generate family-based CNV calls by several different algorithms. Furthermore, PennCNV can generate CNV calls given a specific set of candidate CNV regions, through a validation-calling algorithm. | imaging genomics, copy number variation, snp, genotyping array, array, oligonucleotide, hidden markov model, genotype, genome |
is listed by: OMICtools is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: VegaMC is related to: OpenBioinformatics.org has parent organization: University of Pennsylvania; Philadelphia; USA |
NIMH MH604687 | PMID:17921354 | Free | OMICS_00729, nlx_155921 | http://www.openbioinformatics.org/penncnv/ |
http://www.neurogenome.org/cnv/penncnv | SCR_002518 | PennCNV: copy number variation detection | 2026-08-01 12:02:11 | 349 | |||
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GOEx - Gene Ontology Explorer Resource Report Resource Website 10+ mentions |
GOEx - Gene Ontology Explorer (RRID:SCR_005779) | GOEx | software resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented July 5, 2018. Gene Ontology Explorer (GOEx) combines data from protein fold changes with GO over-representation statistics to help draw conclusions in proteomic experiments. It is tightly integrated within the PatternLab for Proteomics project and, thus, lies within a complete computational environment that provides parsers and pattern recognition tools designed for spectral counting. GOEx offers three independent methods to query data: an interactive directed acyclic graph, a specialist mode where key words can be searched, and an automatic search. A recent hack included in GOEx is to load the sparse matrix index file directly into GOEx, instead of going through the report generation using the AC/T-fold methods. This makes it easy for GOEx to analyze any list of proteins as long as the list follows the index file format (described in manuscript) . Please note that if using this alternative strategy, there will be no protein fold information. Platform: Windows compatible | proteomics, visualization, statistical analysis, gene ontology, parse, pattern recognition, spectral counting, analysis, protein fold |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Scripps Research Institute |
CNPq ; CAPES ; FAPERJ BBP grant ; PAPES ; PDTIS ; Ary Frauzino Foundation ; NIAID ; NIH ; genesis molecular biology laboratory ; Fiocruz-INCA collaboration ; NIAID UCSD/MCB0237059; NCRR P41RR011823; NIMH 5R01 MH067880 |
PMID:19239707 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_149249 | http://pcarvalho.com/patternlab/goex.shtml | SCR_005779 | Gene Ontology Explorer, GO Explorer | 2026-08-01 12:02:59 | 26 | ||||
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XTRACT Resource Report Resource Website 1+ mentions |
XTRACT (RRID:SCR_024933) | software resource, software application | Software command line tool for automated tractography. Standardised protocols for automated tractography in human and macaque brain. | automated tractography, tractography, human, macaque, brain | is a plug in for: FSL | Medical Research Council PhD Studentship UK ; Marie Skłodowska-Curie Individual Fellowship Grant ; Biotechnology and Biological Sciences Research Council ; Netherlands Organization for Scientific Research NWO Netherlands ; Sir Henry Dale Wellcome Trust Fellowship UK ; MRC Career Development Fellowship UK ; Wellcome Trust Collaborative Award UK ; UK Engineering and Physical Sciences Research Council ; Wellcome Trust grant UK ; Human Connectome Project ; NIMH 1U54MH091657; McDonnell Center for Systems Neuroscience at Washington University ; NIH ; UK Biobank Resource ; Wellcome Trust |
PMID:32407993 | Free, Freely available | SCR_024933 | 2026-08-01 12:13:08 | 2 | ||||||||
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Autopatcher Resource Report Resource Website 1+ mentions |
Autopatcher (RRID:SCR_017464) | software resource, software application | Software tool for neuronal recording in intact brain. | Neuronal, recording, intact, brain, BRAIN Initiative | is recommended by: BRAIN Initiative | NIMH MH106027 | PMID:29297466 | Free, Available for download, Freely available | SCR_017464 | 2026-08-01 12:11:08 | 2 | ||||||||
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pyRayleighCuda Resource Report Resource Website |
pyRayleighCuda (RRID:SCR_017453) | software resource, software application | Python Rayleigh-Sommerfeld integral for acoustics with optional CUDA graphics processing unit (GPU) implementation. | Rayleigh-Sommerfeld, integral, acoustics, CUDA, graphics, processing, unit, BRAIN Initiative | is recommended by: BRAIN Initiative | NIMH MH109105 | Free, Freely available | SCR_017453 | 2026-08-01 12:11:01 | 0 | |||||||||
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Autism Genetic Resource Exchange Resource Report Resource Website 1+ mentions |
Autism Genetic Resource Exchange (RRID:SCR_004403) | AGRE | biomaterial supply resource, material resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 11, 2023. A private repository of clinical and genetic information on families with autism. Genetic and clinical data are obtained from families that have more than one family member diagnosed with an Autism Spectrum Disorder. The biological samples, along with the accompanying clinical data, are made available to AGRE-approved researchers worldwide. As they become available, additional family pedigrees will be posted in the online catalog. Cell lines have been established for the majority of families in this collection and serum/plasma is available on a subset of the subjects until stocks are depleted. The diagnosis of autism has been made using the standard Autism Diagnostic Interview-Revised (ADI-R) algorithm and the Autism Diagnostic Observation Scale (ADOS-G). Detailed birth and medical histories (including basic dysmorphology assessments) on children as well as family and medical information for parents and unaffected siblings, are available for nearly all families. DNA, cell lines, serum, plasma and clinical information are made available to AGRE-approved researchers for analysis. | family registry, gene bank, genetics, autism diagnostic, interview, autism diagnostic observational scale, autism spectrum disorder, birth, clinical data, genome scan, genotypic data, medical history, pedigree, phenotypic data, dna, cell line, serum, plasma, biorepository, biospecimen, pervasive development disorder |
is listed by: One Mind Biospecimen Bank Listing has parent organization: Autism Speaks |
Autism, Autism spectrum disorder, Pervasive Development Disorder | NIMH 1U24MH081810 | PMID:20955925 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-00226 | SCR_004403 | 2026-08-01 12:10:50 | 1 | |||||
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CATIE - Clinical Antipsychotic Trials in Intervention Effectiveness Resource Report Resource Website |
CATIE - Clinical Antipsychotic Trials in Intervention Effectiveness (RRID:SCR_005615) | CATIE, CATIE Schizophrenia, Clinical Antipsychotic Trials in Intervention Effectiveness | clinical trial | The NIMH-funded Clinical Antipsychotic Trials of Intervention Effectiveness (CATIE) Study was a nationwide public health-focused clinical trial that compared the effectiveness of older (first available in the 1950s) and newer (available since the 1990s) antipsychotic medications used to treat schizophrenia. These newer medications, known as atypical antipsychotics, cost roughly 10 times as much as the older medications. CATIE is the largest, longest, and most comprehensive independent trial ever done to examine existing therapies for this disease. Schizophrenia is a brain disorder characterized by hallucinations, delusions, and disordered thinking. The course of schizophrenia is variable, but usually is recurrent and chronic, often causing severe disability. Previous studies have shown that taking antipsychotic medications consistently is far more effective than taking no medicine and that the drugs are necessary to manage the disease. The aim of the CATIE study was to determine which medications provide the best treatment for schizophrenia. Additional information may be found by following the links, http://www.nimh.nih.gov/trials/practical/catie/index.shtml, http://www.clinicaltrials.gov/ct/show/NCT00014001?order=1 | schizophrenia, clinical trial, treatment, outcome, antipsychotic |
is used by: Limited Access Datasets From NIMH Clinical Trials is listed by: ClinicalTrials.gov is related to: CATIE - Alzheimers Disease is related to: NIMH Repository and Genomics Resources has parent organization: University of North Carolina at Chapel Hill; North Carolina; USA |
Schizophrenia | NIMH | SCR_005512, nlx_146233, nlx_146234 | http://www.nimh.nih.gov/health/trials/practical/catie/phase1results.shtml | http://www.nimh.nih.gov/health/trials/practical/catie/index.shtml | SCR_005615 | CATIE Schizophrenia Study, Clinical Antipsychotic Trials in Intervention Effectiveness, Clinical Antipsychotic Trials in Intervention Effectiveness - Schizophrenia | 2026-08-01 12:10:38 | 0 | ||||
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NeuroMab Resource Report Resource Website 1000+ mentions |
NeuroMab (RRID:SCR_003086) | NeuroMab | organization portal, data or information resource, portal | A national mouse monoclonal antibody generating resource for biochemical and immunohistochemical applications in mammalian brain. NeuroMabs are generated from mice immunized with synthetic and recombinant immunogens corresponding to components of the neuronal proteome as predicted from genomic and other large-scale cloning efforts. Comprehensive biochemical and immunohistochemical analyses of human, primate and non-primate mammalian brain are incorporated into the initial NeuroMab screening procedure. This yields a subset of mouse mAbs that are optimized for use in brain (i.e. NeuroMabs): for immunocytochemical-based imaging studies of protein localization in adult, developing and pathological brain samples, for biochemical analyses of subunit composition and post-translational modifications of native brain proteins, and for proteomic analyses of native brain protein networks. The NeuroMab facility was initially funded with a five-year U24 cooperative grant from NINDS and NIMH. The initial goal of the facility for this funding period is to generate a library of novel NeuroMabs against neuronal proteins, initially focusing on membrane proteins (receptors/channels/transporters), synaptic proteins, other neuronal signaling molecules, and proteins with established links to disease states. The scope of the facility was expanded with supplements from the NIH Blueprint for Neuroscience Research to include neurodevelopmental targets, the NIH Roadmap for Medical Research to include epigenetics targets, and NIH Office of Rare Diseases Research to include rare disease targets. These NeuroMabs will then be produced on a large scale and made available to the neuroscience research community on an inexpensive basis as tissue culture supernatants or purified immunoglobulin by Antibodies Inc. The UC Davis/NIH NeuroMab Facility makes NeuroMabs available directly to end users and is unable to accommodate sales to distributors for third party distribution. Note, NeuroMab antibodies are now offered through antibodiesinc. | antibody, brain, channel, disease-related protein, k channel subunit, mab, mammalian, membrane protein, monoclonal antibody, mouse, neuronal monoclonal antibody, neuronal protein, neuronal signaling molecule, reagent, receptor, research reagent, synaptic protein, transporter |
is used by: NIF Data Federation is listed by: OMICtools has parent organization: University of California at Davis; California; USA |
NINDS ; NIMH ; NIH Blueprint for Neuroscience Research ; NIH Roadmap for Medical Research ; Office of Rare Diseases Research ; Antibodies Inc. |
Free, Freely available | grid.482686.6, nif-0000-00175 | https://ror.org/00fyrp007 | SCR_003086 | UCDavis/NIH NeuroMab Facility, antibodies.inc, antibodiesinc.com, antibodiesinc | 2026-08-02 09:03:54 | 1810 | |||||
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NeuroRD Resource Report Resource Website 10+ mentions |
NeuroRD (RRID:SCR_014769) | simulation software, software resource, software application | Stochastic reaction-diffusion simulator in Java which is used for simulating neuronal signaling pathways. | simulation software, simulator, java, neuronal signaling pathway, neuron | HFSP ; NIMH K21-MH01141; NSF IBN 0077509; CRCNS program R01 AA16022; CRCNS program AA18066 |
Available for download | https://github.com/neurord/stochdiff/releases | SCR_014769 | 2026-08-02 09:06:39 | 13 | |||||||||
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Automated Fiber Quantification in Python Resource Report Resource Website 10+ mentions |
Automated Fiber Quantification in Python (RRID:SCR_023366) | pyAFQ | software toolkit, software resource | Software package focused on automated delineation of major fiber tracts in individual human brains, and quantification of tissue properties within the tracts.Software for automated processing and analysis of diffusion MRI data. Automates tractometry. | Automates tractometry, automated delineation of major fiber tracts, individual human brains, quantification of tissue properties, tissue properties within fiber tracts, diffusion MRI data, | NIMH 1RF1MH121868; The BRAIN Initiative ; Gordon and Betty Moore Foundation ; Alfred P. Sloan Foundation ; NIBIB R01EB027585; NSF 1551330 |
PMID:35079748 | Free, Available for download, Freely available | SCR_023366 | 2026-08-02 09:08:45 | 12 | ||||||||
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Guided Sparse Factor Analysis Resource Report Resource Website 1+ mentions |
Guided Sparse Factor Analysis (RRID:SCR_025023) | GSFA | software toolkit, software resource | Software R package that performs sparse factor analysis and differential gene expression discovery simultaneously on single cell CRISPR screening data. | sparse factor analysis, differential gene expression, discovery simultaneously, single cell CRISPR screening data, | NIMH R01MH110531; NHGRI R01HG010773; NIMH R01MH116281; NIGMS R01 GM126553; NHGRI R01 HG011883; NSF ; Sloan Research Fellowship |
PMID:37770710 | Free, Available for download, Freely available | SCR_025023 | 2026-08-02 09:09:10 | 1 | ||||||||
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tximeta Resource Report Resource Website |
tximeta (RRID:SCR_028005) | software toolkit, software resource | Software R package for reference sequence checksums for provenance identification in RNA-seq. Performs numerous annotation and metadata gathering tasks on behalf of users during the import of transcript counts and abundance from quantification tools such as salmon. Data are imported as SummarizedExperiment objects with associated GenomicRanges metadata. Correct metadata is added automatically via reference sequence digests, facilitating genomic analyses and assisting in computational reproducibility. | reference sequence checksums, provenance identification in RNA-seq, numerous annotation, metadata gathering, | NHGRI R01 HG009937; NIMH R01 MH118349; NCI P01 CA142538; NIEHS P30 ES010126; NHGRI U41 HG004059 |
PMID:32097405 | Free, Available for download, Freely available | SCR_028005 | Tximeta | 2026-08-02 09:09:44 | 0 | ||||||||
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Computerized Anatomical Reconstruction and Editing Toolkit Resource Report Resource Website 50+ mentions |
Computerized Anatomical Reconstruction and Editing Toolkit (RRID:SCR_006260) | CARET | image processing software, software application, data processing software, software resource, data visualization software | 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. | reconstruction, visualization, cerebral cortex, surface, brain, dataset, cerebellar cortex, atlas application, mesh generation, quantitative shape analysis, segmentation, shape analysis, intersubject, image-to-template, gaussian curvature, mean curvature, animation, three dimensional display, two dimensional display, surface rendering, cortical flat map, FASEB list |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Debian is related to: SumsDB has parent organization: Washington University School of Medicine in St. Louis; Missouri; USA |
NIMH R01 MH60974; NEI EY02091 |
PMID:11522765 | Free, Available for download, Freely available | nif-0000-00279 | http://www.nitrc.org/projects/caret, https://sources.debian.org/src/caret/ | SCR_006260 | Computerized Anatomical Reconstruction Editing Toolkit | 2026-08-03 09:33:04 | 57 | ||||
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MatOFF Resource Report Resource Website 1+ mentions |
MatOFF (RRID:SCR_006821) | MatOFF | software application, data processing software, source code, data analysis software, software resource | An interactive analysis program that searches neurophysiological data and plots the results. MatOFF was developed especially for dealing with the complexities common to behavioral neurophysiological experiments. It runs under Windows 2000 or XP and relies on MATLAB version R11.1 (or above) for all operations. MatOFF searches a data file to locate and plot epochs (trials) of special interest to the investigator. Appropriate input data files have time-stamped event codes, usually including neuron action potential firing events (spikes), and digitized analog data. The user specifies a list of event code numbers that uniquely identify a sequence of events. MatOFF uses this sequence to search the raw data file, select the epochs that meet the criteria, time-shift the trials to align them on a common event, order the epochs based on user-selected criteria, and plot the results based on a collection of page formatting specifications. MatOFF will also save extracted data and some statistics to disk. Features: * Powerful, interactive searching tools for locating relevant experimental events * Compatible with Cortex data acquisition program * Compatible with Plexon data acquisition system * Flexible, publication-quality graphical display and printing * Comprehensive scripting language * Supports learning and other dynamic behavior * Integrated interface to MATLAB functions * Automatic alignment of trial data and generation of histograms * Large variety of options for selecting and ordering trial data * Descriptive and non-parametric statistics * XY analog displays * Data export with flexible format control * Up to 72 plots per page * Display templates can be saved and reloaded * Free for public or private use * Adaptable to almost any data file format | neurophysiology, behavioral neurophysiology, behavior, electrophysiology, matlab | has parent organization: NIMH CORTEX | NIMH | nlx_143876 | SCR_006821 | NIMH MatOFF | 2026-08-03 09:33:10 | 3 | |||||||
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NIMH CORTEX Resource Report Resource Website 10+ mentions |
NIMH CORTEX (RRID:SCR_006837) | NIMH CORTEX | portal, software toolkit, data acquisition software, software application, data processing software, topical portal, data or information resource, software resource | A program developed by the NIMH Laboratory of Neuropsychology for data acquisition and experimental control of neurophysiological experiments. The purpose of this website is to make it easier to access new versions of NIMH CORTEX and its supporting documents. Ultimately, it is also hoped that these pages will make it easier for users to report bugs, request enhancements, and obtain help. Download the latest version and unzip it into a new sub-directory. Then read the on-line documentation. For the new user, the User''s Manuals are invaluable in specifying system requirements and giving an overview of the features and necessary hardware. The Function reference goes into more detail about how to write experiments using NIMH CORTEX. The Demos reference is a good place for new and experienced users to start to get an idea of what NIMH CORTEX can do these days. | neurophysiology, neuropsychology, behavioral control |
has parent organization: NIMH Division of Intramural Research Programs is parent organization of: MatOFF |
NIMH | nif-0000-04365 | http://www.cortex.salk.edu/ | SCR_006837 | Laboratory of Systems Neuroscience, Software and Hardware for Neurophysiology: The home of NIMH Cortex, NIMH Laboratory of Systems Neuroscience | 2026-08-03 09:33:11 | 34 | ||||||
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MEGSIM Resource Report Resource Website |
MEGSIM (RRID:SCR_002420) | MEGSIM | software application, simulation software, data or information resource, software resource, data set | Realistic simulated MEG datasets ranging from basic sensory to oscillatory sets that mimic functional connectivity; as well as basic visual, auditory, and somatosensory empirical sets. The simulated sets were created for the purpose of testing analysis algorithms across the different MEG systems when the truth is known. MEG baseline recordings were obtained from 5 healthy participants, using three MEG systems: VSM/CTF Omega, Elekta Neuromag Vectorview, 4-D Magnes 3600. Simulated signals were embedded within the CTF and Neuromag 306 baseline recordings (4-D to be added). Participant MRIs are available. Averaged simulation files are available as netcdf files. Neuromag 306 averaged simulations are also available in fif format. Also available: single trials of data where the simulated signal is jittered about a mean value, continuous fif files where the simulated signal is marked by a trigger, and simulations with oscillations added to mimic functional connectivity. | eeg, meg, electrocorticography, forward - inverse, mri, meg modeling, model, simulation, os independent, test data, image collection |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: Mind Research Network |
NIMH R21MH080141 | PMID:22068921 | Free, Freely available | nlx_155793 | http://www.nitrc.org/projects/megsim | SCR_002420 | 2026-08-03 09:31:56 | 0 | |||||
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ConnectomeDB Resource Report Resource Website 50+ mentions |
ConnectomeDB (RRID:SCR_004830) | ConnectomeDB | image collection, data repository, data or information resource, database, image repository, storage service resource, service resource | Data management platform that houses all data generated by the Human Connectome Project - image data, clinical evaluations, behavioral data and more. ConnectomeDB stores raw image data, as well as results of analysis and processing pipelines. Using the ConnectomeDB infrastructure, research centers will be also able to manage Connectome-like projects, including data upload and entry, quality control, processing pipelines, and data distribution. ConnectomeDB is designed to be a data-mining tool, that allows users to generate and test hypotheses based on groups of subjects. Using the ConnectomeDB interface, users can easily search, browse and filter large amounts of subject data, and download necessary files for many kinds of analysis. ConnectomeDB is designed to work seamlessly with Connectome Workbench, an interactive, multidimensional visualization platform designed specifically for handling connectivity data. De-identified data within ConnectomeDB is publicly accessible. Access to additional data may be available to qualified research investigators. ConnectomeDB is being hosted on a BlueArc storage platform housed at Washington University through the year 2020. This data platform is based on XNAT, an open-source image informatics software toolkit developed by the NRG at Washington University. ConnectomeDB itself is fully open source. | brain, connectivity, human, adult human, evaluation, clinical, behavior, data set, diffusion imaging, resting-state fmri, task-evoked fmri, t1-weighted mri, t2-weighted mri, structural mapping, myelin mapping, magnetoencephalography, electroencephalography, fmri, twin |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: XNAT - The Extensible Neuroimaging Archive Toolkit has parent organization: Washington University in St. Louis; Missouri; USA works with: Connectome Workbench |
Healthy, Twin, Non-twin sibling | NIH Blueprint for Neuroscience Research ; Washington University in St. Louis; Missouri; USA ; McDonnell Center for Systems Neuroscience ; NIMH 1U54MH091657 |
PMID:22366334 | Account required, Open unspecified license, Acknowledgement required, See Data Use Terms, The community can contribute to this resource | nlx_143923 | SCR_004830 | 2026-08-03 09:32:44 | 56 | |||||
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Army STARRS Resource Report Resource Website 1+ mentions |
Army STARRS (RRID:SCR_006708) | Army STARRS | portal, disease-related portal, topical portal, research forum portal, data or information resource | Study of mental health risk and resilience factors ever conducted among military personnel. The purpose of Army STARRS is to identify as quickly as possible factors that protect or pose risks to Soldiers'' emotional well-being and overall mental health so that the Army may apply the knowledge to its ongoing health promotion, risk reduction, and suicide prevention efforts. Army STARRS investigators will use four separate study components the Historical Data Study, New Soldier Study, All Army Study, and Soldier Health Outcomes Study to identify factors that help protect a Soldier''s mental health and factors that put a Soldier''s mental health at risk. Army STARRS is a five-year study that will run through 2014. Findings will be reported as they become available, so that the Army may apply them to its ongoing health promotion, risk reduction, and suicide prevention efforts. Given its length and scope, Army STARRS will generate a vast amount of information and will allow investigators to focus on periods in a military career that are known to be high risk for psychological problems. The information gathered from volunteer participants throughout the study will help researchers identify not only potentially relevant risk factors, but potential protective factors as well. Because promoting mental health and reducing suicide risk are important for all Americans, the findings from Army STARRS will benefit not only servicemembers but the nation as a whole. NIMH has assembled a group of renowned experts to carry out this research including teams from the Uniformed Services University of the Health Sciences (USUHS), the University of California, San Diego, University of Michigan, Harvard Medical School, and NIMH. Additional Army and NIMH program staff will contribute to the oversight and implementation of the study. This research team brings together international leaders in military health, health and behavior surveys, epidemiology, suicide, and genetic and neurobiological factors involved in psychological health. | mental health, suicide, mental disease, one mind ptsd, one mind tbi | has parent organization: U.S. Army | NIMH ; U.S. Army |
nlx_143810 | SCR_006708 | Army Study To Assess Risk and Resilience in Servicemembers | 2026-08-03 09:33:08 | 5 |
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