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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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NIMH Director's Blog Resource Report Resource Website |
NIMH Director's Blog (RRID:SCR_008841) | blog, data or information resource, narrative resource | Blog by the NIMH Director, Thomas R. Insel, M.D. Users may sort posts by topic and/or subsribe to the RSS Feed, http://www.nimh.nih.gov/site-info/feed-directors-blog.atom | attention deficit-hyperactivity disorder, autism, bipolar disorder, borderline personality disorder, depression, depressive disorder, eating disorder, obsessive-compulsive disorder, post-traumatic stress disorder, schizophrenia, woman, mental health, child, adolescent, research, military, trauma, diversity, ethnicity, genetics, aids, hiv, imaging, medication, suicide, treatment, human, anxiety disorder, prevention | has parent organization: National Institute of Mental Health | NIMH | nlx_146220 | SCR_008841 | National Institute of Mental Health Directors Blog, National Institute of Mental Health Director's Blog, NIMH Directors Blog | 2026-09-12 01:02:01 | 0 | ||||||||
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Resource for Genetic Epidemiology Research on Adult Health and Aging Resource Report Resource Website 1+ mentions |
Resource for Genetic Epidemiology Research on Adult Health and Aging (RRID:SCR_010472) | GERA | data or information resource, database | Human genetics data from an immense (78,000) and ethnically diverse population available for secondary analysis to qualified researchers through the database of Genotypes and Phenotypes (dbGaP). It offers the opportunity to identify potential genetic risks and influences on a broad range of health conditions, particularly those related to aging. The GERA cohort is part of the Research Program on Genes, Environment, and Health (RPGEH), which includes more than 430,000 adult members of the Kaiser Permanente Northern California system. Data from this larger cohort include electronic medical records, behavioral and demographic information from surveys, and saliva samples from 200,000 participants obtained with informed consent for genomic and other analyses. The RPGEH database was made possible largely through early support from the Robert Wood Johnson Foundation to accelerate such health research. The genetic information in the GERA cohort translates into more than 55 billion bits of genetic data. Using newly developed techniques, the researchers conducted genome-wide scans to rapidly identify single nucleotide polymorphisms (SNPs) in the genomes of the people in the GERA cohort. These data will form the basis of genome-wide association studies (GWAS) that can look at hundreds of thousands to millions of SNPs at the same time. The RPGEH then combined the genetic data with information derived from Kaiser Permanente''s comprehensive longitudinal electronic medical records, as well as extensive survey data on participants'' health habits and backgrounds, providing researchers with an unparalleled research resource. As information is added to the Kaiser-UCSF database, the dbGaP database will also be updated. | genotype, phenotype, genome-wide association study, saliva, dna, male, female, health condition, electronic medical record, single nucleotide polymorphism, adult human, late adult human, gene, genome |
has parent organization: NCBI database of Genotypes and Phenotypes (dbGap) has parent organization: University of California at San Francisco; California; USA |
Aging, Cardiovascular disease, Osteoarthritis, Depressive Disorder, Insomnia, Eye disease, Cancer, Diabetes | NIMH ; NIH Office of the Director ; NIA AG036607 |
Application required, Non-commercial, Data Use Certification Agreement | nlx_157735 | SCR_010472 | Genetic Epidemiology Research on Aging | 2026-09-12 01:02:03 | 9 | |||||
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Knowledge Engineering from Experimental Design Resource Report Resource Website 1+ mentions |
Knowledge Engineering from Experimental Design (RRID:SCR_001238) | KEfED | software application, software resource | Knowledge engineering software for reasoning with scientific observations and interpretations. The software has three parts: (a) the KEfED model editor - a design editor for creating KEfED models by drawing a flow diagram of an experimental protocol; (b) the KEfED data interface - a spreadsheet-like tool that permits users to enter experimental data pertaining to a specific model; (c) a "neural connection matrix" interface that presents neural connectivity as a table of ordinal connection strengths representing the interpretations of tract-tracing data. This tool also allows the user to view experimental evidence pertaining to a specific connection. The KEfED model is designed to provide a lightweight representation for scientific knowledge that is (a) generalizable, (b) a suitable target for text-mining approaches, (c) relatively semantically simple, and (d) is based on the way that scientist plan experiments and should therefore be intuitively understandable to non-computational bench scientists. The basic idea of the KEfED model is that scientific observations tend to have a common design: there is a significant difference between measurements of some dependent variable under conditions specified by two (or more) values of some independent variable. | experimental design, observation, interpretation, reasoning, experimental data, observational assertion, knowledge engineering, java |
is listed by: FORCE11 is related to: Bioscholar has parent organization: Biomedical Informatics Research Network |
NIGMS R01-GM083871; NIMH 1R01MH079068-01A2; NCRR 1 U24 RR025736-01 |
PMID:21859449 | Free, Available for download, Freely available | nif-0000-07745 | https://wiki.birncommunity.org/display/NEWBIRNCC/Knowledge+Engineering+from+Experimental+Design+%28%27KEfED%27%29 | SCR_001238 | 2026-09-12 01:02:26 | 1 | |||||
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Spatial Analysis 3D Resource Report Resource Website |
Spatial Analysis 3D (RRID:SCR_002563) | SA3D | software application, software resource | A user-friendly, graphical user interface (GUI) that allows statistical and visual manipulations of real and simulated three-dimensional spatial point patterns. The analyses use files containing sets of X, Y, Z coordinates. These point patterns are frequently coordinates of cells of specific cell classes within in volumes of tissue derived from microscopy analyses. The analyses are scale independent so spatial analyses of coordinates from larger and smaller scale distributions are possible. The software can also generate sample sets of X, Y, Z coordinates for program exploration and modeling purposes. | eeg, meg, electrocorticography, matlab, modeling, magnetic resonance, position, quantification, simulation, statistical operation, cell, microscopy |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: University of California at Santa Barbara; California; USA |
NIMH MH-069997; NEI EY-011087 |
PMID:18644136 | Free, Available for download, Freely available | nlx_155969 | http://www.nitrc.org/projects/sa3d | SCR_002563 | 2026-09-12 01:02:28 | 0 | |||||
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Neuroimaging Informatics Technology Initiative Resource Report Resource Website 100+ mentions |
Neuroimaging Informatics Technology Initiative (RRID:SCR_003141) | NIfTI | knowledge environment, training resource | Coordinated and targeted service, training, and research to speed the development and enhance the utility of informatics tools related to neuroimaging. The initial focus will be on tools that are used in fMRI. If NIfTI proves useful in addressing informatics issues in the fMRI research community, it may be expanded to address similar issues in other areas of neuroimaging. Objectives of NIfTI * Enhancement of existing informatics tools used widely in neuroimaging research * Dissemination of neuroimaging informatics tools and information about them * Community-based approaches to solving common problems, such as lack of interoperability of tools and data * Unique training activities and research career development opportunities to those in the tool-user and tool-developer communities * Research and development of the next generation of neuroimaging informatics tools | neuroimaging, neuroinformatics, technology, service, training, research, mri, fmri, software, algorithm or reusable library, c, computed tomography, developers, information resource, java, matlab, magnetic resonance, nifti, other information resource, pet, spect, software |
is used by: Stark Cross-Sectional Aging is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: GIFTI has parent organization: National Institute of Mental Health is parent organization of: NIfTI Data Format Working Group |
NIH Blueprint for Neuroscience Research ; NIMH ; NINDS |
Free, Freely available | nif-0000-00561 | http://www.nitrc.org/projects/nifti | http://www.bic.mni.mcgill.ca/nifti/ | SCR_003141 | NIfTI: Neuroimaging Informatics Technology Initiative, Neuroimaging Informatics Technology Initiative (NIfTI) | 2026-09-12 01:02:29 | 349 | ||||
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Patient-Reported Outcomes Measurement Information System Resource Report Resource Website 1000+ mentions |
Patient-Reported Outcomes Measurement Information System (RRID:SCR_004718) | PROMIS | assessment test provider, material resource | Repository of person centered measures that evaluates and monitors physical, mental, and social health in adults and children. | adult, child, assessment, clinical, anger, pain, fatigue, physical function, depression, anxiety, social function, patient reported outcome, health, measure |
is recommended by: National Library of Medicine has parent organization: University of Washington; Seattle; USA |
NCCIH ; NCI ; NHLBI ; NIAMS ; NIA ; NIDA ; NIDCD ; NIDDK ; NIMH ; NINDS ; NINR ; OD |
nlx_143881 | http://www.healthmeasures.net/index.php?option=com_content&view=category&layout=blog&id=71&Itemid=817 | SCR_004718 | PROMIS, Patient Reported Outcomes Measurement Information System | 2026-09-12 01:02:33 | 3303 | ||||||
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KI Biobank - STAR Resource Report Resource Website 1+ mentions |
KI Biobank - STAR (RRID:SCR_005923) | KI Biobank - STAR | biomaterial supply resource, material resource | Large, ongoing, multifactorial study based on nation-wide ascertainment of patients with schizophrenia and bipolar disorder through the Swedish Twin Registry to include both neuroimaging data, neurocognitive function, molecular genetic data and early adverse environmental factors in the same model in a genetic sensitive design. Swedish schizophrenia research will benefit from this large study database of in total 240 affected and healthy twin pairs collected over a 5 year period. The specific aims are: * To elucidate neural endophenotypes for schizophrenia and bipolar disorder and to clarify the extent of overlap in these features between the two syndromes. * To investigate candidate genes and genomic regions for linkage and association with neural endophenotypes for schizophrenia and bipolar disease. * To determine the contributions of adverse prenatal and perinatal conditions to neural changes associated with schizophrenia and bipolar disease. Types of samples * EDTA whole blood * DNA * RNA Number of sample donors: 251 (June 2010) | twin, neuroimaging, environmental factor, environment, gene, endophenotype, behavioral symptom, phenotype, neural endophenotype, genetics, adverse fetal environment, prenatal event, perinatal condition, neurocognitive, mri |
uses: Swedish Twin Registry is listed by: One Mind Biospecimen Bank Listing has parent organization: Karolisnka Biobank |
Schizophrenia, Bipolar Disorder, Healthy, Normal control, Normal twin | NIMH ; Stockholm County Council ; ALF-medel |
nlx_149611 | http://ki.se/forskning/star | http://ki.se/ki/jsp/polopoly.jsp?d=29350&a=36309&l=en | SCR_005923 | Schizophrenia and Bipolar Disorder: Neural endophenotypes genetic liability and adverse fetal environment, KI Biobank - Schizophrenia Twins and Relatives, Schizophrenia Twins and Relatives | 2026-09-12 01:02:35 | 1 | ||||
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LONI MiND Resource Report Resource Website |
LONI MiND (RRID:SCR_004820) | MiND | service resource, software resource | The MiND: Metadata in NIfTI for DWI framework enables data sharing and software interoperability for diffusion-weighted MRI. This site provides specification details, tools, and examples of the MiND mechanism for representing important metadata for DWI data sets at various stages of post-processing. MiND framework provides a practical solution to the problem of interoperability between DWI analysis tools, and it effectively expands the analysis options available to end users. To assist both users and developers in working with MiND-formatted files, we provide a number of software tools for download. * MiNDHeader A utility for inspecting MiND-extended files. * I/O Libraries Programming libraries to simplify writing and parsing MiND-formatted data. * Sample Files Example files for each MiND schema. * DIRAC LONI''s Diffusion Imaging Reconstruction and Analysis Collection is a DWI processing suite which utilizes the MiND framework. | diffusion magnetic resonance imaging, metadata, dwi, dti, software interoperability, data sharing | has parent organization: David Geffen School of Medicine at UCLA; California; USA | NIH ; NCRR ; NIMH ; NCRR 1U54RR021813-01; NIGMS 5T32GM008042-25; NCRR P41 RR013642; NIMH R01 MH71940; NIBIB EB008432; NIBIB EB008281; NIBIB EB007813; NICHD HD050735 |
PMID:20206274 | nlx_143920 | http://mind.loni.ucla.edu/ | SCR_004820 | MiND: Metadata in NIfTI for DWI, Metadata in NIfTI for DWI | 2026-09-12 01:02:33 | 0 | |||||
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PyMVPA Resource Report Resource Website 100+ mentions |
PyMVPA (RRID:SCR_006099) | PyMVPA | software application, software resource, software toolkit | A Python package intended to ease statistical learning analyses of large datasets. It offers an extensible framework with a high-level interface to a broad range of algorithms for classification, regression, feature selection, data import and export. While it is not limited to the neuroimaging domain, it is eminently suited for such datasets. PyMVPA is truly free software (in every respect) and additionally requires nothing but free-software to run. Decoding patterns of neural activity onto cognitive states is one of the central goals of functional brain imaging. Standard univariate fMRI analysis methods, which correlate cognitive and perceptual function with the blood oxygenation-level dependent (BOLD) signal, have proven successful in identifying anatomical regions based on signal increases during cognitive and perceptual tasks. Recently, researchers have begun to explore new multivariate techniques that have proven to be more flexible, more reliable, and more sensitive than standard univariate analysis. Drawing on the field of statistical learning theory, these new classifier-based analysis techniques possess explanatory power that could provide new insights into the functional properties of the brain. However, unlike the wealth of software packages for univariate analyses, there are few packages that facilitate multivariate pattern classification analyses of fMRI data. This Python-based, cross-platform, open-source software toolbox software toolbox for the application of classifier-based analysis techniques to fMRI datasets makes use of Python's ability to access libraries written in a large variety of programming languages and computing environments to interface with the wealth of existing machine learning packages. | python, machine learning, fmri, eeg, neuroimaging, image analysis, scripting, multivariate pattern analysis, brain, meg, extracellular recording, algorithm, reusable library, analyze, c, console (text based), eeg, meg, electrocorticography, frequency domain, independent component analysis, linear, modeling, magnetic resonance, multivariate analysis, nifti, nonlinear, os independent, pet, spect, principal component analysis, python, regression, spatial transformation, statistical operation, temporal transformation, workflow |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: neurodebian is related to: CoSMoMVPA has parent organization: Dartmouth College; New Hampshire; USA has parent organization: Otto-von-Guericke University Magdeburg; Saxony-Anhalt; Germany |
German Academic Exchange Service PPP-USA D/05/504/7; NIMH MH080526; NSF SBE 0751008; James McDonnell Foundation 220020127 |
PMID:19184561 PMID:19212459 PMID:20582270 |
MIT License | nlx_151596 | http://www.nitrc.org/projects/pymvpa | SCR_006099 | Python MVPA, Multivariate Pattern Analysis in Python, PyMVPA - Multivariate Pattern Analysis in Python | 2026-09-12 01:02:35 | 144 | ||||
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Brain RNA-Seq Resource Report Resource Website 100+ mentions |
Brain RNA-Seq (RRID:SCR_013736) | data or information resource, database | Database containing RNA-Seq transcriptome and splicing data from glia, neurons, and vascular cells of cerebral cortex. Collection of RNA-Seq transcriptome and splicing data from glia, neurons, and vascular cells of mouse cerebral cortex. RNA-Seq of cell types isolated from mouse and human brain. | RNAseq, transcriptome, splicing, data, glia, neuron vascular, cell, cerebral, cortex, mouse, human, brain, FASEB list | has parent organization: Stanford University; Stanford; California | NIGMS T32GM007365; NIMH R01MH09955501; NINDS R01NS08170301 |
PMID:25186741 PMID:26687838 |
Free, Freely available | SCR_017483 | http://www.brainrnaseq.org/ | SCR_013736 | Barres Brain RNA-Seq | 2026-09-12 01:02:13 | 156 | |||||
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BALSA Resource Report Resource Website 1+ mentions |
BALSA (RRID:SCR_022960) | BALSA | data or information resource, database | Database for hosting and sharing neuroimaging and neuroanatomical datasets for human and primate species. Includes 1) curated, user created Study datasets, extensively analyzed neuroimaging data associated with published figures/manuscripts, 2) Reference datasets mapped to brain atlas surfaces and volumes in human and nonhuman primates for use as general resources (e.g., published cortical parcellations), and 3) ConnectomeDB powered by BALSA for distributing HCP-Young Adult and related HCP-style processed imaging and phenotypic datasets. Datasets in BALSA may include PMID and/or DOI that links them directly to relevant publications. | Brain Analysis Library, spatial maps and atlases, hosting and sharing neuroimaging and neuroanatomical datasets, human and primate species, neuroimaging data associated with published figures, datasets mapped to brain atlas, Human Connectome Project, HCP |
is used by: BRAIN Initiative Cell Atlas Network is related to: Human Connectome Coordination Facility is related to: Connectome Workbench |
NIMH MH060974; NIMH R01MH060974 |
PMID:27074495 | Free, Freely available | r3d100013646 | https://balsa.wustl.edu/about, https://doi.org/10.17616/R31NJN0U | SCR_022960 | Brain Analysis Library of Spatial maps and Atlases | 2026-09-12 01:02:21 | 8 | ||||
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OSA Resource Report Resource Website 1+ mentions |
OSA (RRID:SCR_002016) | OSA | software application, software resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 19,2025. Software application that allows the researcher to evaluate evidence for linkage even when heterogeneity is present in a data set. This is not an unusual occurrence when studying diseases of complex origin. Families are ranked by covariate values in order to test evidence for linkage among homogeneous subsets of families. Because families are ranked, a priori covariate cutpoints are not necessary. Covariates may include linkage evidence at other genes, environmental exposures, or biological trait values such as cholesterol, age at onset, and so on. | gene, genetic, genomic, c++, unix, solaris, linux |
is listed by: Genetic Analysis Software has parent organization: Duke University; North Carolina; USA |
NIMH R01 MH59528 | PMID:18473393 PMID:15185403 |
THIS RESOURCE IS NO LONGER IN SERVICE | nlx_154504 | http://wwwchg.duhs.duke.edu/software/osa.html | SCR_002016 | Ordered Subset Analysis, OSA Program, Ordered Subset Analysis Program | 2026-09-12 01:02:27 | 1 | ||||
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Eagle Resource Report Resource Website 50+ mentions |
Eagle (RRID:SCR_015991) | software resource, software toolkit | Software package for statistical estimation of haplotype phase either within a genotyped cohort or using a phased reference panel in large scale sequencing. The package includes Eagle1 (to harness identity-by-descent among distant relatives to rapidly call phase using a fast scoring approach) and Eagle2 (to analyze a full probabilistic model similar to the diploid Li-Stephens model used by previous HMM-based methods. | hmm, hidden markov model, statistic, estimation, haplotype, phase, reference, panel, sequencing, algorithm, analysis, probability |
is listed by: Debian is listed by: OMICtools has parent organization: Broad Institute |
Austrian Science Fund J-3401; Dutch Brain Foundation ; Fannie and John Hertz Foundation ; NCRR S10 RR028832; NHGRI F32HG007805; NHGRI HG007022; NHGRI R01 HG006399; NHLBI HL117626; NIMH R01 MH101244; NWO 480-05-003; Wellcome Trust WT098051 |
PMID:27694958 PMID:27270109 |
Free, Available for download, Freely available | OMICS_14099, SCR_017262 | https://sources.debian.org/src/bio-eagle/, https://github.com/poruloh/Eagle, https://data.broadinstitute.org/alkesgroup/Eagle/downloads/ | SCR_015991 | Bio-eagle, Eagle1, Eagle2 | 2026-09-12 01:02:53 | 57 | |||||
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ALICE Resource Report Resource Website 1+ mentions |
ALICE (RRID:SCR_017463) | software resource, software toolkit | Software tool for automatic localization of intra-cranial electrodes for clinical and high density grids. Software for coregistering high density ECoG grids to MRI anatomy. | Localization, intra-cranial, electrode, clinical, high density, grid, coregistering, ECoG, MRI, BRAIN Initiative | is recommended by: BRAIN Initiative | BrainGain Smart Mix Programme ; Dutch Technology Foundation ; Netherlands Organization for Scientific Research ; NIMH MH111417 |
PMID:29100838 | Restricted | SCR_017463 | Automatic Localization of Intra-Cranial Electrodes | 2026-09-12 01:02:55 | 1 | |||||||
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Myriads Resource Report Resource Website 1+ mentions |
Myriads (RRID:SCR_017447) | data analytics software, software application, software resource | Software package for p value based multiple testing that also implements dependence test and p-value simulation. | P value, multiple, testing, simulation, BRAIN Initiative, bio.tools |
is recommended by: BRAIN Initiative is listed by: bio.tools is listed by: Debian |
NIMH MH111416 | PMID:29186285 | biotools:myriads | https://bio.tools/myriads | SCR_017447 | SGoF+ | 2026-09-12 01:02:55 | 1 | ||||||
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MIRACL Resource Report Resource Website 1+ mentions |
MIRACL (RRID:SCR_020945) | software resource, software toolkit | Automated software resource that combines histologically cleared volumes with connectivity atlases and MRI, enabling analysis of histological features across multiple fiber tracts and networks, and their correlation with in vivo biomarkers.Multimodal image registration and connectivity analysis for integration of connectomic data from microscopy to MRI. Open source pipeline for automated registration of mice clarity data to Allen reference atlas, segmentation and feature extraction of mice clarity data in 3D, registration of mice multimodal imaging data to Allen reference atlas, tract or label specific connectivity analysis based on Allen connectivity atlas,comparison of diffusion tensort imaging/tractography, virus tracing using CLARITY and Allen connectivity atlas, statistical analysis of CLARITY and Imaging data, atlas generation and label manipulation. | Image registration, CLARITY, multimodal image registration, connectivity analysis, connectomic data integration, MRI data, connectivity atlases, histological features analysis, mice clarity data |
is related to: Allen Institute for Brain Science works with: Allen Mouse Brain Reference Atlas |
American Society for Neuroradiology ; Bernard and Ronni Lacroute ; Boerger Research Fund for Alzheimer Disease and Neurocognitive Disorders ; GE Healthcare ; HHMI ; Marc Paskin ; NIA R01 AG061120; NIMH R01 MH111444; NINDS R01 NS093057; NINDS R01 NS095985; Stanford Neurosciences Institute ; Stanford Radiology Angel Funds ; U.S. Army Research Laboratory and Defense Advanced Research Projects Agency ; William Randolph Hearst Foundation |
PMID:31796741 | Free, Available for download, Freely available | https://github.com/mgoubran/MIRACL/blob/master/docs/index.rst | SCR_020945 | Multi modal Image Registration And Connectivity anaLysis | 2026-09-12 01:02:57 | 1 | ||||||
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NIMH Publications Resource Report Resource Website |
NIMH Publications (RRID:SCR_008846) | NIMH Publications | data or information resource, narrative resource | Publications put out by the National Institute of Mental Health. Publications are available by topic: Disorders: * Attention Deficit Hyperactivity Disorder (ADHD) * Anxiety Disorders * Autism * Bipolar Disorder * Borderline Personality Disorder * Depression * Eating Disorders * Generalized Anxiety Disorder * Obsessive-Compulsive Disorder (OCD) * Panic Disorder * Post-Traumatic Stress Disorder * Schizophrenia * Social Phobia Populations * Older Adults * Men''s Mental Health * Women''s Mental Health * Children and Adolescents Research * Basic Research * Clinical Research and Trials * Research Funding * Mental Health Services Research Other * Coping with Traumatic Events * Genetics * HIV/AIDS * Imaging * Medications * NIMH * Prevention * Statistics * Suicide Prevention * Treatments | spanish, mental health, mental disease, human, booklet, brochure, fact sheet | has parent organization: National Institute of Mental Health | NIMH | nlx_146238 | SCR_008846 | National Institute of Mental Health Publications | 2026-09-12 01:02:38 | 0 | |||||||
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Chronux Resource Report Resource Website 500+ mentions |
Chronux (RRID:SCR_005547) | Chronux | data analysis software, data processing software, software application, software resource | Open-source software package for the analysis of neural data. Chronux routines may be employed in the analysis of both point process and continuous data, ranging from preprocessing, exploratory and confirmatory analysis. The current release is implemented as a MATLAB library. Chronux offers several routines for computing spectra and coherences for both point and continuous processes. In addition, it also offers several general purpose routines that were found useful such as a routine for extracting specified segments from data, or binning spike time data with bins of a specified size. Since the data can be continuous valued, point process times, or point processes that are binned, methods that apply to all these data types are given in routines whose names end with ''''c'''' for continuous, ''''pb'''' for binned point processes, and ''''pt'''' for point process times. Thus, mtspectrumc computes the spectrum of continuous data, mtspectrumpb computes a spectrum for binned point processes, and mtspectrumpt compute spectra for data consisting of point process times. Hybrid routines are also available and similarly named - for instance coherencycpb computes the coherency between continuous and binned point process data. | fmri, brain mapping, brain, matlab |
is related to: Zebra Finch Song Learning Consortium has parent organization: Cold Spring Harbor Laboratory |
NIMH | Open-source. Please cite. | nif-0000-00082 | SCR_005547 | Chronux Analysis Software | 2026-09-12 01:00:11 | 571 | ||||||
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NIMH Brain Tissue Collection Resource Report Resource Website 1+ mentions |
NIMH Brain Tissue Collection (RRID:SCR_008726) | NIMH Brain Bank | biomaterial supply resource, brain bank, material resource, tissue bank | A collection of brain tissue from individuals suffering from schizophrenia, bipolar disorder, depression, anxiety disorders, and substance abuse, as well as healthy individuals. The research mission of the NIMH Brain Bank is to better understand the underlying biological mechanisms and pathways that contribute to schizophrenia and other neuropsychiatric disorders, as well as to study normal human brain development. | schizophrenia, bipolar disorder, depressive disorder, anxiety disorder, substance abuse, healthy, neurological disorder, mental disease, suicide, tourette's syndrome, dementia, brain development, brain, brain tissue, tissue, post-mortem, normal control, ClinicalTrials.gov Identifier: NCT00001260 |
is listed by: One Mind Biospecimen Bank Listing has parent organization: NIMH Intramural Research Program Clinical Brain Disorders Branch |
Schizophrenia, Bipolar Disorder, Depressiive Disorder, Anxiety Disorder, Drug Abuse, Healthy, Neurological disorder, Mental disease, Suicide, Tourette's Syndrome, Dementia, Normal control, Aging | NIMH | Samples available to investigators approved by an NIMH Oversight Committee, Molecular and genetic data available to the scientific community | nlx_143684 | http://cbdb.nimh.nih.gov/neuropath.htm | SCR_008726 | 2026-09-12 01:00:14 | 1 | |||||
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Minian Resource Report Resource Website 1+ mentions |
Minian (RRID:SCR_022601) | data analysis software, data processing software, software application, software resource, software toolkit | Software miniscope analysis pipeline that requires low memory and computational demand so it can be run without specialized hardware. Offers interactive visualization that allows users to see how parameters in each step of pipeline affect output. | Miniscope, analysis pipeline, calcium imaging, mouse, Visualization, OpenBehavior |
is listed by: OpenBehavior has parent organization: Icahn School of Medicine at Mount Sinai; New York; USA |
NIA F32AG067640; NIBIB R01EB028166; NIDA R21 DA049568; NIMH DP2MH122399; NIMH R01MH120162; NINDS R01 NS116357; NINDS R03 NS111493; NINDS U01NS094286; NSF 1700408; NSF 1926800; NSF 2046583 |
PMID:35642786 | Free, Available for download, Freely available | https://edspace.american.edu/openbehavior/project/minian/ | SCR_022601 | 2026-09-12 01:00:27 | 6 |
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