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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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NIH MRI Study of Normal Brain Development Resource Report Resource Website 1+ mentions |
NIH MRI Study of Normal Brain Development (RRID:SCR_003394) | Pediatric MRI Study | data or information resource, narrative resource, data set, experimental protocol | Data sets of clinical / behavioral and image data are available for download by qualified researchers from a seven year, multi-site, longitudinal study using magnetic resonance technologies to study brain maturation in healthy, typically-developing infants, children, and adolescents and to correlate brain development with cognitive and behavioral development. The information obtained in this study is expected to provide essential data for understanding the course of normal brain development as a basis for understanding atypical brain development associated with a variety of developmental, neurological, and neuropsychiatric disorders affecting children and adults. This study enrolled over 500 children, ranging from infancy to young adulthood. The goal was to study each participant at least three times over the course of the project at one of six Pediatric Centers across the United States. Brain MR and clinical/behavioral data have been compiled and analyzed at a Data Coordinating Center and Clinical Coordinating Center. Additionally, MR spectroscopy and DTI data are being analyzed. The study was organized around two objectives corresponding to two age ranges at the time of enrollment, each with its own protocols. * Objective 1 enrolled children ages 4 years, 6 months through 18 years (total N = 433). This sample was recruited across the six Pediatric Study Centers using community based sampling to reflect the demographics of the United States in terms of income, race, and ethnicity. The subjects were studied with both imaging and clinical/behavioral measures at two year intervals for three time points. * Objective 2 enrolled newborns, infants, toddlers, and preschoolers from birth through 4 years, 5 months, who were studied three or more times at two Pediatric Study Centers at intervals ranging from three months for the youngest subjects to one year as the children approach the Objective 1 age range. Both imaging and clinical/behavioral measures were collected at each time point. Participant recruitment used community based sampling that included hospital venues (e.g., maternity wards and nurseries, satellite physician offices, and well-child clinics), community organizations (e.g., day-care centers, schools, and churches), and siblings of children participating in other research at the Pediatric Study Centers. At timepoint 1, of those enrolled, 114 children had T1 scans that passed quality control checks. Staged data release plan: The first data release included structural MR images and clinical/behavioral data from the first assessments, Visit 1, for Objective 1. A second data release included structural MRI and clinical/behavioral data from the second visit for Objective 1. A third data release included structural MRI data for both Objective 1 and 2 and all time points, as well as preliminary spectroscopy data. A fourth data release added cortical thickness, gyrification and cortical surface data. Yet to be released are longitudinally registered anatomic MRI data and diffusion tensor data. A collaborative effort among the participating centers and NIH resulted in age-appropriate MR protocols and clinical/behavioral batteries of instruments. A summary of this protocol is available as a Protocol release document. Details of the project, such as study design, rationale, recruitment, instrument battery, MRI acquisition details, and quality controls can be found in the study protocol. Also available are the MRI procedure manual and Clinical/Behavioral procedure manuals for Objective 1 and Objective 2. | young human, child, pediatric, experimental protocol, brain, brain development, development, mri, minc, clinical, behavior, anatomical mri, diffusion tensor imaging, mr spectroscopy, adolescent, clinical data, behavioral data, data visualization software, clinical measure, behavioral measure, physical neurological examination, behavioral rating, neuropsychological testing, structured psychiatric interview, hormonal measure, image collection, neonate, clinical neuroinformatics, dicom, minc2, magnetic resonance, nifti |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Biositemaps is listed by: NIH Data Sharing Repositories is related to: NIH Data Sharing Repositories has parent organization: National Institutes of Health |
Healthy, Normal | NICHD ; NIDA ; NIMH ; NINDS ; NIH Blueprint for Neuroscience Research |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-00201 | http://www.bic.mni.mcgill.ca/nihpd/info/, https://nihpd.crbs.ucsd.edu/nihpd/info/index.html | SCR_003394 | NIH Pediatric MRI Data Repository, Pediatric MRI Data Repository | 2026-08-12 10:48:47 | 6 | ||||
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signalml.org Resource Report Resource Website 1+ mentions |
signalml.org (RRID:SCR_003383) | SignalML | programming language, software resource, software application | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 5, 2023.An XML-based language designed for metadescription of formats, used for digital storage of biomedical time series. Using SignalML, information on the structure of binary data files can be simply and efficiently coded. Once written, this information can be used by any software, which - owing to this metadescription - can read data files in the original format. This eliminates the need for conversions and duplication of data. signalml.org provides the following resources for interchange of relevant information and ideas: * SignalML wiki * Newsgroup / mailing list The main current software project is Svarog - a SignalML-compliant signal viewer, annotator, analyzer and (future) recorder. Svarog is written in Java and is currently best fitted for display of EEG and MEG signals. Also open platform for implementing advanced signal processing methods in user-friendly environment, at the moment interfacs for Java code, standalone executables and Matlab code via Matlab Builder for Java. | analyzer, annotator, binary data, digital storage, metadescription, recorder, eeg, meg, electrocorticography, eeg modeling, forward - inverse, meg modeling, modeling |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: University of Warsaw; Warsaw; Poland |
Committee for Scientific Research Poland | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-32899 | http://www.nitrc.org/projects/incf_signalml | SCR_003383 | 2026-08-12 10:48:47 | 2 | ||||||
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NeuroVault Resource Report Resource Website 100+ mentions |
NeuroVault (RRID:SCR_003806) | service resource, data repository, storage service resource | Data repository where researchers can publicly store and share unthresholded statistical brain activation maps produced by MRI and PET studies. | neuroimaging, fmri, mri, functional mri assay, pet, brain activation map, brain, statistical map, neuroimaging repository |
uses: NeuroSynth is used by: NIF Data Federation is used by: Integrated Datasets is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: Stanford Center for Reproducible Neuroscience |
International Neuroinformatics Coordinating Facility ; Max-Planck-Gesellschaft ; Max Planck Institute for Human Cognitive and Brain Sciences; Leipzig; Germany |
Creative Commons Zero License | nlx_158106, r3d100012842 | http://neurovault.org/api, https://doi.org/10.17616/R31NJMEI | SCR_003806 | NeuroVault - A public repository of unthresholded brain activation maps | 2026-08-12 10:48:52 | 363 | ||||||
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NITRC-IR Resource Report Resource Website 1+ mentions |
NITRC-IR (RRID:SCR_004162) | NITRC IR | service resource, data or information resource, image repository, database, image database, catalog, data repository, storage service resource | Data repository for neuroimaging data in DlCOM and NIFTI formats. It allows users to search for and freely download publicly available data sets relating to normal subjects and those with diagnoses such as: schizophrenia, ADHD, autism, and Parkinson's disease.XNAT-based image registry that supports both NIfTI and DICOM images to promote re-use and integration of NIH funded data. | database, neuroimaging, magnetic resonance, mri, image collection, nifti, dicom |
uses: XNAT Central is used by: NIF Data Federation lists: 1000 Functional Connectomes Project lists: studyforrest.org is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: 1000 Functional Connectomes Project is related to: NITRC Enhanced Services has parent organization: NeuroImaging Tools and Resources Collaboratory (NITRC) |
Bipolar Disorder, Schizophrenia, Parkinson's disease, ADHD | NINDS R44 NS074540; NIBIB U24 EB023398 |
PMID:26044860 | Free, Available for download, Freely available | nlx_18447, SCR_015623 | SCR_004162 | NeuroImaging Tools and Resources Collaboratory Image Repository, NITRC Image Repository | 2026-08-12 10:48:55 | 8 | ||||
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NIMH Data Archive Resource Report Resource Website 100+ mentions |
NIMH Data Archive (RRID:SCR_004434) | NDA | service resource, data or information resource, database, data repository, storage service resource | The National Institute of Mental Health Data Archive (NDA) makes available human subjects data collected from hundreds of research projects across many scientific domains. Research data repository for data sharing and collaboration among investigators. Used to accelerate scientific discovery through data sharing across all of mental health and other research communities, data harmonization and reporting of research results. Infrastructure created by National Database for Autism Research (NDAR), Research Domain Criteria Database (RDoCdb), National Database for Clinical Trials related to Mental Illness (NDCT), and NIH Pediatric MRI Repository (PedsMRI). | afni brik, ascii, bshort, bfloat, connectome file format, cifti, clinical neuroinformatics, cor, dicom, imaging genomics, inc, minc2, nifti, os independent, philips par/rec, tex, vrml, phenotype, neuroimaging, genomic, gender, male, female, dti, fmri, mri, spectroscopy, eeg, microarray, snp, cnv, next-generation sequencing, gene regulation, gene expression, genotyping, pedigree, clinical assessment, FASEB list |
uses: HED Tags is used by: National Database for Clinical Trials related to Mental Illness is used by: RDoCdb is used by: NIH Heal Project is recommended by: National Library of Medicine is recommended by: NIDDK Information Network (dkNET) is recommended by: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: re3data.org is related to: National Database for Clinical Trials related to Mental Illness is related to: RDoCdb has parent organization: National Institute of Mental Health hosts: GUID Tool |
Autism, Autism spectrum disorder, Asperger Syndrome, Normal control, Sibling control, Parental control, Fragile X syndrome | NIMH ; NINDS ; NIEHS ; NICHD ; Center for Information Technology |
Restricted | nlx_143735, r3d100010717, r3d100012653 | http://www.nitrc.org/projects/ndarportal, https://data-archive.nimh.nih.gov/, https://doi.org/10.17616/R37K63, https://doi.org/10.17616/R3XV5P | http://ndar.nih.gov/ | SCR_004434 | NDAR, National Database for Autism Research, National Institute of Mental Health Data Archive, National Database for Autism Research (NDAR) | 2026-08-12 10:48:59 | 424 | |||
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TrackVis Resource Report Resource Website 500+ mentions |
TrackVis (RRID:SCR_004817) | TrackVis | image reconstruction software, data visualization software, image analysis software, software toolkit, image processing software, software application, data processing software, software resource | TrackVis is software tool that can visualize and analyze fiber track data from diffusion MR imaging (DTI/DSI/HARDI/Q-Ball) tractography. It does NOT perform actual fiber tracking. Diffusion Toolkit is a set of tools that reconstruct diffusion imaging data and generate fiber track data for TrackVis to visualize. Because these two sets of tools were developed and maintained separately and each has distinguished funtionalities, they decided to distribute them as two separate programs for the ease of maintenance and upgrade. You do need both of them to perform complete diffusion data processing and analysis. Features of TrackVis include: * Cross-platform. Works on Windows, Mac OS X and Linux with native look and feel. * A variety of track filters (track selecting methods) allowing users to explore and locate specific bundles with ease. * Multiple rendering modes with customizable scalar-driven color codes. * Real-time parameter adjustment and 3D render. * Open format of the track data file allowing users to integrate customized scalar data into the track file and visualize and analyze it. Save and restore scenes in XML style scene file. * Statistical scalar analysis of tracks and ROIs. * Synchronized real-time multiple dataset analysis and display allowing time-point and/or subject comparison. Synchronized analysis and display on same dataset can also be performed in real-time remotely over the network. * Upfront in-line parameter adjustment in real-time. No tedious pop-up dialogs. TrackVis works with Track File created by Diffusion Toolkit. Diffusion Toolkit processes raw DICOM, Nifti format and ANALYZE images. TrackVis and Diffusion Toolkit are cross-platform software. They can run on Windows XP, Mac OS X as well as Linux. | mri, dti, diffusion spectrum image, diffusion imaging, image reconstruction, diffusion mr fiber tracking, visualization, analyze, c++, console (text based), dicom, fiber tracking, image reconstruction, linux, macos, microsoft, magnetic resonance, nifti, posix/unix-like, tractography, visualization, win32 (ms windows), windows |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: CAMINO-TRACKVIS |
MGH GCRC ; NIMH 5R01MH064044 |
Free for academic and non-profit research use, Non-commercial, For other purposes, Please contact them | nlx_143916 | SCR_004817 | TrackVis and Diffusion Toolkit | 2026-08-12 10:49:03 | 524 |
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The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
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