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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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Parkinsons Disease Discovery Database Resource Report Resource Website |
Parkinsons Disease Discovery Database (RRID:SCR_014160) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented Jan. 5, 2016. Tools will be available for biomedical data mining and visualization as well as linkages to Google Maps and other online resources. | parkinson disease, database | is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) | THIS RESOURCE IS NO LONGER IN SERVICE | SCR_014160 | 2026-02-11 10:58:52 | 0 | ||||||||||
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Altered States Database Resource Report Resource Website 1+ mentions |
Altered States Database (RRID:SCR_016350) | ASDB | data or information resource, database | Database as an open science framework with a scientific data extracted from scientific literature about various altered states of consciousness assessed with questionnaires. Used to compare what experiences are elicited by different drugs and non-pharmacological methods that induce altered states to help to understand human consciousness functions. Is listed by Neuroimaging Informatics Tools. | altered, state, database, comprised, questionnaire, data, consciousness, neuroscience | is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) | Wikimedia Foundation ; Stifterverband ; VolkswagenStiftung |
DOI:10.17605/OSF.IO/8MBRU | Free, Freely available | http://alteredstatesdb.org/#focus | SCR_016350 | Altered States Database | 2026-02-11 10:59:23 | 2 | |||||
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COBRE Resource Report Resource Website 100+ mentions |
COBRE (RRID:SCR_010482) | COBRE | data or information resource, data set | Data set of raw anatomical and functional MR data from 72 patients with Schizophrenia and 75 healthy controls (ages ranging from 18 to 65 in each group). All subjects were screened and excluded if they had: history of neurological disorder, history of mental retardation, history of severe head trauma with more than 5 minutes loss of consciousness, history of substance abuse or dependence within the last 12 months. Diagnostic information was collected using the Structured Clinical Interview used for DSM Disorders (SCID). A multi-echo MPRAGE (MEMPR) sequence was used with the following parameters: TR/TE/TI = 2530/(1.64, 3.5, 5.36, 7.22, 9.08)/900 ms, flip angle = 7��, FOV = 256x256 mm, Slab thickness = 176 mm, Matrix = 256x256x176, Voxel size =1x1x1 mm, Number of echos = 5, Pixel bandwidth =650 Hz, Total scan time = 6 min. With 5 echoes, the TR, TI and time to encode partitions for the MEMPR are similar to that of a conventional MPRAGE, resulting in similar GM/WM/CSF contrast. Rest data was collected with single-shot full k-space echo-planar imaging (EPI) with ramp sampling correction using the intercomissural line (AC-PC) as a reference (TR: 2 s, TE: 29 ms, matrix size: 64x64, 32 slices, voxel size: 3x3x4 mm3). Slice Acquisition Order: Rest scan - collected in the Axial plane - series ascending - multi slice mode - interleaved MPRAGE - collected in the Sag plane - series interleaved - multi slice mode - single shot The following data are released for every participant: * Resting fMRI * Anatomical MRI * Phenotypic data for every participant including: gender, age, handedness and diagnostic information. | resting fmri, anatomical mri, phenotype, gender, age, handedness, diagnosis, adult human, fmri, mri, neuroimaging, mental state assessment, clinical |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: Mind Research Network has parent organization: 1000 Functional Connectomes Project has parent organization: NeuroImaging Tools and Resources Collaboratory (NITRC) |
Schizophrenia, Normal control, Aging | NCRR 1P20RR021938-01A2 | Creative Commons Attribution-NonCommercial License, Account required | nlx_157762 | SCR_010482 | Center for Biomedical Research Excellence, Center for Biomedical Research Excellence (COBRE) | 2026-02-11 10:58:20 | 108 | |||||
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Manually Labeled MRI Brain Scan Database Resource Report Resource Website 1+ mentions |
Manually Labeled MRI Brain Scan Database (RRID:SCR_009604) | data or information resource, database | Collection of neuroanatomically labeled MRI brain scans, created by neuroanatomical experts. Regions of interest include the sub-cortical structures (thalamus, caudate, putamen, hippocampus, etc), along with ventricles, brain stem, cerebellum, and gray and white matter and sub-divided cortex into parcellation units that are defined by gyral and sulcal landmarks. | collection, neuroanatomical, MRI, brain, scan, data, thalamus, caudate, putamen, hippocampus, ventricle, cerebellum, cortex |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: Neuromorphometrics works with: MRI Neuroanatomy Labeling Services works with: MRI Neuroanatomy Labeling Services |
NIMH R43 MH60507; NIMH R44 MH60507; NIMH R43 MH084358 |
Commercially available | nlx_155805 | http://www.nitrc.org/projects/manuallabels | SCR_009604 | 2026-02-11 10:58:03 | 1 | |||||||
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Pediatric Imaging Neurocognition and Genetics Resource Report Resource Website 50+ mentions |
Pediatric Imaging Neurocognition and Genetics (RRID:SCR_008953) | PING | data or information resource, database | A large multi-site pediatric MRI and genetics data resource to facilitate studies of the genomic landscape of the developing human brain. It includes information about the developing mental and emotional functions of the children to understand the genetic basis of individual differences in brain structure and connectivity, cognition, and personality. Investigators on the project are studying 1400 children between the ages of 3 and 20 years so that links between genetic variation and developing patterns of brain connectivity can be examined. Investigators interested in the effects of a particular gene will be able to search the database for any brain areas or connections between areas that differ as a function of variation in a particular gene, and also to determine if the genes appear to affect the course of brain development at some point during childhood. A data exploration tool has been created for mapping and analyzing MRI data sets collected for PING and related developmental studies. Approved investigators will be able to view raw image sets and derived 3D brain maps of MRI and DTI data, conduct hypothesis testing, and graph brain area measures as they change across the time course of development. PING Cores * Coordinating Core: Functions include project management, screening of participants and maintaining the database * Neuroimaging Core: applying a standardized high-resolution structural MRI protocol involving 3-D T1-weighted scans, a T2-weighted volume, and a set of diffusion-weighted scans with multiple b values and diffusion directions, scans to estimate MRI relaxation rates, and gradient echo EPI scans for resting state fMRI. Importantly, adaptive motion compensation, using ����??PROMO����??, a novel real-time motion correction algorithm will be used. Specific PING protocols for each scanner manufacturer: ** PING MRI Protocol - GE ** PING MRI Protocol - Philips ** PING MRI Protocol - Siemens * Assessment Core: Cognitive assessments for the PING project are conducted using the NIH Toolbox for Cognition. * Genomics Core: functions as a central repository for receipt of saliva samples collected for each study participant. Once received, samples are catalogued, maintained, and DNA is extracted using state-of-the-field laboratory techniques. Ultimately, genome-wide genotyping is performed on the extracted DNA using the Illumina Human660W-Quad BeadChip. PING involves 10 sites throughout the country including UCSD, University of Hawaii, Scripps Genomics, UCLA, UC Davis, Kennedy Krieger Institute/Johns Hopkins, Sacker Institute/Cornell University, University of Massachusetts, Massachusetts General Hospital/Harvard, and Yale. Families who may want to participate in the study, or others who want to know more about it, may email questions to ping (at) ucsd.edu. | pediatric, neuroimaging, genetics, child, early adult human, adolescent, genetic variant, magnetic resonance imaging, brain, gene, brain structure, connectivity, function, brain development, cognition, experimental protocol, saliva, dna, diffusion tensor imaging, image, genotype, dicom, imaging genomics, magnetic resonance, nifti, FASEB list |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: NIH Toolbox - Assessment of Neurological and Behavioral Function has parent organization: University of California at San Diego; California; USA has parent organization: Multimodal Imaging Laboratory |
NIDA ; ARRA ; NICHD |
Data Use Agreement required. | nlx_151904 | http://www.nitrc.org/projects/ping | http://ping.chd.ucsd.edu/ | SCR_008953 | PING Study, Pediatric Imaging Neurocognition and Genetics (PING) | 2026-02-11 10:57:53 | 76 | ||||
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HD Neuro-Informatics Resource Report Resource Website 1+ mentions |
HD Neuro-Informatics (RRID:SCR_009493) | HDNI | data or information resource, portal, topical portal | An international effort to establish resources necessary to study the application of neuroimaging measures as (surrogate) biomarkers in Huntington''s Disease (HD). The primary aims are to develop and apply software tools, imaging protocols, quality control procedures, data archiving, data distribution, and participation guidelines that will accelerate existing and prospective imaging studies. | magnetic resonance | is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) | Huntington''s disease | BSD License | nlx_155641 | SCR_009493 | Huntington Disease Nueroimaging Initiative | 2026-02-12 09:44:56 | 2 | ||||||
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NITRC Community Resource Report Resource Website |
NITRC Community (RRID:SCR_009631) | NITRC Community | data or information resource, portal, community building portal | NITRC-wide community facilities: Forums, Wiki, Tracker, and News. | forum, event, news, funding, wiki, document, job resource |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: NeuroImaging Tools and Resources Collaboratory (NITRC) |
nlx_155888 | SCR_009631 | 2026-02-12 09:45:08 | 0 | |||||||||
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Philips Users Community Resource Report Resource Website 1+ mentions |
Philips Users Community (RRID:SCR_001438) | Philips Users Community | data or information resource, portal, community building portal | Communnity project to help support the efforts of investigators using Philips Healthcare systems. This clearingsite helps users find forums, mailinglists, etc. that support this community. If you have suggestions for inclusion, let the project admin know! | community, dicom, magnetic resonance, nifti, philips par/rec | is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) | Free, Freely Available | nlx_155922 | SCR_001438 | 2026-02-12 09:43:09 | 1 | ||||||||
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Generation R Pediatric MRI Resources Resource Report Resource Website 10+ mentions |
Generation R Pediatric MRI Resources (RRID:SCR_014114) | data or information resource, image collection | An MRI resource which provides age-appropriate images of children. It includes an average, age-appropriate T1-weighted image, constructed from 130 typically developing children ages 6-to-10 and a set of 32 resting-state ICA components. These components were generated from 494 typically developing children, ages 6-to-10 years old, using the MELODIC ICA tool, bootstrapped with 1000 resamples. Both of these resources are described in detail in a manuscript submitted for publication. | image collection, mri, children, ti weighted | is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) | SCR_014114 | 2026-02-12 09:45:54 | 15 | |||||||||||
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Mouse Biomedical Informatics Research Network Resource Report Resource Website |
Mouse Biomedical Informatics Research Network (RRID:SCR_003392) | MouseBIRN, mBIRN | data or information resource, atlas, reference atlas, data set | Animal model data primarily focused on mice including high resolution MRI, light and electron microscopic data from normal and genetically modified mice. It also has atlases, and the Mouse BIRN Atlasing Toolkit (MBAT) which provides a 3D visual interface to spatially registered distributed brain data acquired across scales. The goal of the Mouse BIRN is to help scientists utilize model organism databases for analyzing experimental data. Mouse BIRN has ended. The next phase of this project is the Mouse Connectome Project (https://www.nitrc.org/projects/mcp/). The Mouse BIRN testbeds initially focused on mouse models of neurodegenerative diseases. Mouse BIRN testbed partners provide multi-modal, multi-scale reference image data of the mouse brain as well as genetic and genomic information linking genotype and brain phenotype. Researchers across six groups are pooling and analyzing multi-scale structural and functional data and integrating it with genomic and gene expression data acquired from the mouse brain. These correlated multi-scale analyses of data are providing a comprehensive basis upon which to interpret signals from the whole brain relative to the tissue and cellular alterations characteristic of the modeled disorder. BIRN's infrastructure is providing the collaborative tools to enable researchers with unique expertise and knowledge of the mouse an opportunity to work together on research relevant to pre-clinical mouse models of neurological disease. The Mouse BIRN also maintains a collaborative Web Wiki, which contains announcements, an FAQ, and much more. | electron microscopy, expression, functional, gene, 3-dimentional, brain, cellular, disorder, genomic, genotype, mouse, neurodegenerative disease, phenotype, molecular neuroanatomy resource, mri, light microscopy, model organism, gene expression, atlas data, imaging genomics, magnetic resonance |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: Mouse BIRN Atlasing Toolkit is related to: Mouse Connectome Project has parent organization: Biomedical Informatics Research Network |
Normal, Neurodegenerative disease, Multiple Sclerosis, Alzheimer's disease, Parkinson's disease | NIH ; Collaborative Tools Support Network Award ; NCRR 1U24-RR025736; NCRR U24-RR021992; NCRR U24-RR021760; NCRR 1U24-RR026057-01 |
Free, Available for download, Freely available | nif-0000-00200 | https://loni.usc.edu/research/software?name=MBATWA | http://www.loni.ucla.edu/BIRN/Projects/Mouse/index.shtml | SCR_003392 | Mouse BIRN | 2026-02-12 09:43:36 | 0 | |||
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Cognitive Atlas Resource Report Resource Website 10+ mentions |
Cognitive Atlas (RRID:SCR_002793) | Cognitive Atlas | data or information resource, ontology, controlled vocabulary | Knowledge base (or ontology) that characterizes the state of current thought in cognitive science that captures knowledge from users with expertise in psychology, cognitive science, and neuroscience. There are two basic kinds of knowledge in the knowledge base. Terms provide definitions and properties for individual concepts and tasks. Assertions describe relations between terms in the same way that a sentence describes relations between parts of speech. The goal is to develop a knowledge base that will support annotation of data in databases, as well as supporting improved discourse in the community. It is open to all interested researchers. A fundamental feature of the knowledge base is the desire and ability to capture not just agreement but also disagreement regarding definitions and assertions. Thus, if you see a definition or assertion that you disagree with, then you can assert and describe your disagreement. The project is led by Russell Poldrack, Professor of Psychology and Neurobiology at the University of Texas at Austin in collaboration with the UCLA Center for Computational Biology (A. Toga, PI) and UCLA Consortium for Neuropsychiatric Phenomics (R. Bilder, PI). Most tasks used in cognitive psychology research are not identical across different laboratories or even within the same laboratory over time. A major advantage of anchoring cognitive ontologies to the measurement level is that the strategy for determining changes in task properties is easier than tracking changes in concept definitions and usage. The process is easier because task parameters are usually (if not always) operationalized objectively, offering a clear basis to judge divergence in methods. The process is also easier because most tasks are based on prior tasks, and thus can more readily be considered descendants in a phylogenetic sense. | cognitive function, cognitive phenotype, cognitive process, cognitive science, cognitive state, human, cognitive ontology, cognitive task, experimental task, mental construct, concept, task, eeg, meg, electrocorticography, magnetic resonance, ontology, pet, spect, knowledge environment |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: Speech Perception is related to: Brainspell has parent organization: University of Texas at Austin; Texas; USA is parent organization of: Cognitive Atlas Ontology |
NIMH RO1MH082795 | PMID:21922006 PMID:19634038 |
Free, Freely Available | nif-0000-24591 | http://www.nitrc.org/projects/cogatlas | SCR_002793 | cognitive atlas - a collaboratively developed cognitive science ontology | 2026-02-12 09:43:27 | 32 | ||||
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Morphometry BIRN Resource Report Resource Website |
Morphometry BIRN (RRID:SCR_000155) | MBIRN | data or information resource, data set | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 4th,2023. Calibration data set of spoiled gradient-recalled echo magnetic resonance imaging data from five healthy volunteers (four males and one female) scanned twice at four sites having 1.5T systems from different vendors (Siemens, GE, Marconi Medical Systems) pooled by the Morphometry Testbed's (MBIRN). Some subjects were also scanned a single time at another site. One subject was only scanned twice at three sites (subject 73213384) and once at another site. For each subject, four Fast Low-Angle Shot (FLASH) scans with flip angles of 3, 5, 20, and 30 degrees were obtained in a single scan session, from which tissue proton density and T1 maps can be derived. These data were acquired to investigate various metrics of within-site and across-site reproducibility. The images have been defaced so that no facial features can be reconstructed from these data. The Morphometry Testbed (MBIRN) of the Biomedical Informatics Research Network (BIRN) focused on pooling and analyzing of neuroimaging data acquired at multiple sites. Specific applications include potential relationships between anatomical differences and specific memory dysfunctions, such as Alzheimer's disease. With the completion of the initial BIRN testbed phase, each of the original BIRN testbeds have now been retired in order to focus on new users in other biomedical domains. | morphometry, mri, neuroinformatics, subcortical, dicom, magnetic resonance, nifti, quantification, segmentation, visualization, workflow, image collection, structural mri, male, female, neuroimaging |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Biositemaps is related to: XNAT Central has parent organization: Biomedical Informatics Research Network is parent organization of: Gradient Non-linearity Distortion Correction is parent organization of: Gradient Non-linearity Distortion Correction |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-00069 | http://www.nitrc.org/projects/mbirn | SCR_000155 | Morphometry BIRN Multi-site Multi-session Structural MRI Data, Brain Morphometry Testbed, Morphometry Testbed, mBIRN_calib, mbirn calibration | 2026-02-11 10:55:59 | 0 | ||||||
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Spanish Resting State Network Resource Report Resource Website |
Spanish Resting State Network (RRID:SCR_002562) | SRSN | data or information resource, portal, community building portal | Forum (Spanish) for sharing information and knowledge on this network, a collaboration between different research groups in Spain and national and international centres. (Foro para compartir datos y conocimiento sobre esta red. Se constituye el Spanish Resting State Network como una colaboracion entre distintos grupos de investigacion de Espa������a y centros nacionales e internacionales.) | microsoft word document, magnetic resonance, nifti, pdf, spanish |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: 1000 Functional Connectomes Project |
Free | nlx_155968 | SCR_002562 | 2026-02-12 09:43:24 | 0 | ||||||||
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Multi-Modal MRI Reproducibility Resource Resource Report Resource Website 10+ mentions |
Multi-Modal MRI Reproducibility Resource (RRID:SCR_002442) | Multi-Modal MRI Reproducibility Resource | data or information resource, image collection | Scan-rescan imaging sessions on 21 healthy volunteers (no history of neurological disease) intended to be a resource for statisticians and imaging scientists to be able to quantify the reproducibility of their imaging methods using data available from a generic 1 hour session at 3T. Imaging modalities include MPRAGE, FLAIR, DTI, resting state fMRI, B0 and B1 field maps, ASL, VASO, quantitative T1 mapping, quantitative T2 mapping, and magnetization transfer imaging. All data have been converted to NIFTI format. Please cite: Bennett. A. Landman, Alan J. Huang, Aliya Gifford, Deepti S. Vikram, Issel Anne L. Lim, Jonathan A.D. Farrell, John A. Bogovic, Jun Hua, Min Chen, Samson Jarso, Seth A. Smith, Suresh Joel, Susumu Mori, James J. Pekar, Peter B. Barker, Jerry L. Prince, and Peter C.M. van Zijl. ?Multi-Parametric Neuroimaging Reproducibility: A 3T Resource Study?, NeuroImage. (2010) NIHMS/PMC:252138 doi:10.1016/j.neuroimage.2010.11.047 | java image science toolkit, magnetic resonance, nifti, neuroimaging, reproducibility, mprage, flair, dti, resting state fmri, b0 field map, b1 field map, asl, vaso, quantitative t1 mapping, quantitative t2 mapping, magnetization transfer imaging |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: JIST: Java Image Science Toolkit |
Healthy | PMID:21094686 | Free, Available for download, Freely available | nlx_155818 | SCR_002442 | 2026-02-12 09:43:22 | 11 | ||||||
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MS lesion segmentation challenge 2008 Resource Report Resource Website 1+ mentions |
MS lesion segmentation challenge 2008 (RRID:SCR_002425) | MS Lesion Segmentation 08 | data or information resource, narrative resource, training material, data set | Training material for the MS lesion segmentation challenge 2008 to compare different algorithms to segment the MS lesions from brain MRI scans. Data used for the workshop is composed of 54 brain MRI images and represents a range of patients and pathology which was acquired from Children's Hospital Boston and University of North Carolian. Data has initially been randomized into three groups: 20 training MRI images, 24 testing images for the qualifying and 8 for the onsite contest at the 2008 workshop. The downloadable online database consists now of the training images (including reference segmentations) and all the 32 combined testing images (without segmentations). The naming has not been changed in comparison to the workshop compeition in order to allow easy comparison between the workshop papers and the online database papers. One dataset has been removed (UNC_test1_Case02) due to considerable motion present only in its T2 image (without motion artifacts in T1 and FLAIR). Such a dataset unfairly penalizes methods that use T2 images versus methods that don't use the T2 image. Currently all cases have been segmented by expert raters at each institution. They have significant intersite variablility in segmentation. MS lesion MRI image data for this competition was acquired seperately by Children's Hospital Boston and University of North Carolina. UNC cases were acquired on Siemens 3T Allegra MRI scanner with slice thickness of 1mm and in-plane resolution of 0.5mm. To ease the segmentation process all data has been rigidly registered to a common reference frame and resliced to isotrophic voxel spacing using b-spline based interpolation. Pre-processed data is stored in NRRD format containing an ASCII readable header and a separate uncompressed raw image data file. This format is ITK compatible. If you want to join the competition, you can download data set from links here, and submit your segmentation results at http://www.ia.unc.edu/MSseg after registering your team. They require team name, password, and email address for future contact. Once experiment is completed, you can submit the segmentation data in a zip file format. Please refer submission page for uploading data format. | magnetic resonance, competition, challenge, segmentation, segment, ms lesion, brain, mri scan, mri, image collection |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: University of North Carolina at Chapel Hill School of Medicine; North Carolina; USA |
Multiple Sclerosis | NIH Roadmap for Medical Research ; NIBIB U54 EB005149-01 |
Free, Available for download, Freely available | nlx_155799 | SCR_002425 | 2008 MICCAI MS Lesion Segmentation Challenge | 2026-02-12 09:43:22 | 1 | |||||
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Registry Builder Data Harmonization and Aggregation Tool Resource Report Resource Website |
Registry Builder Data Harmonization and Aggregation Tool (RRID:SCR_006559) | Registry Builder Data Harmonization and Aggregation Tool | software resource, commercial organization | Software to harmonize the data that you have in different Excel files, databases, repositories, biospecimen applications, etc. and maps it to one common registry. Remedy Informatics' platform aggregates data from multiple sources, harmonizes the data via Ontology, and provides data visualization and pattern recognition and querying tools. | registry, ontology, visualization, pattern recognition, querying tool | is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) | Mosaic License, Http://www.nitrc.org/include/glossary.php#694 | nlx_155942 | http://www.nitrc.org/projects/registrybuilder | SCR_006559 | 2026-02-12 09:44:33 | 0 | |||||||
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Functional ROI Atlas Resource Report Resource Website |
Functional ROI Atlas (RRID:SCR_009481) | Functional ROI Atlas | data or information resource, atlas | An effort to provide a set of quasi-probabilistic atlases for established functional ROIs in the human neuroimaging literature. Many atlases exist for various anatomical parcellation schemes, such as the Brodmann areas, the structural atlases, tissue segmentation atlases, etc. To date, however, there is no atlas for so-called functional ROIs. Such fROIs are typically associated with an anatomical label of some kind (e.g. the _fusiform_ face area), but these labels are only approximate and can be misleading inasmuch as fROIs are not constrained by anatomical landmarks, whether cytoarchitectonic or based on sulcal and gyral landmarks. The goal of this project is to provide quasi-probabilistic atlases for fROIs that are based on published coordinates in the neuroimaging literature. This is an open-ended enterprise and the atlas can grow as needed. Members of the neuroscience and neuroimaging community interested in contributing to the project are encouraged to do so. | magnetic resonance, nifti, functional roi, region of interest, neuroimaging | is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) | GNU General Public License, The community can contribute to this resource | nlx_155628 | SCR_009481 | 2026-02-12 09:44:56 | 0 | ||||||||
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Atlasing of the basal ganglia Resource Report Resource Website 1+ mentions |
Atlasing of the basal ganglia (RRID:SCR_009431) | Atlasing of the basal ganglia | data or information resource, atlas | This atlas takes advantage of ultra-high resolution 7T MRI to provide unprecedented levels of detail on structures of the basal ganglia in-vivo. The atlas includes probability maps of the Subthalamic Nucleus (STh) using T2*-imaging. For now it has been created on 13 young healthy participants with a mean age of 24.38 (range: 22-28, SD: 2.36). We recently also created atlas STh probability maps from 8 middle-aged participants with a mean age of 50.67 (range: 40-59, SD: 6.63), and 9 elderly participants with a mean age of 72.33 (range: 67-77, SD: 2.87). You can find more details about the creation of these maps in the following papers: Young: http://www.ncbi.nlm.nih.gov/pubmed/22227131 Middle-aged & Elderly: http://www.ncbi.nlm.nih.gov/pubmed/23486960 Participating institutions are the Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, and the Cognitive Science Center Amsterdam, University of Amsterdam, the Netherlands. | magnetic resonance, mri, late adult human, early adult human, middle adult human, basal ganglia |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: LEAD-DBS |
Aging | PMID:22227131 PMID:23486960 |
Creative Commons License | nlx_155581 | SCR_009431 | 2026-02-12 09:44:54 | 5 | ||||||
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Striatal Subregional VOImap Resource Report Resource Website |
Striatal Subregional VOImap (RRID:SCR_014173) | data or information resource, atlas | An atlas intended to provide accurate data in terms of specific uptake location to make the BP quantitation. The VOIs were manually drawn with software Analyze 9.0 (Mayo Clinic) in 18F-DOPA brain image after spatial normalization with a 18F-DOPA Template. Each striatum was divided into 6 sub-regions: ventral caudate, anterior dorsal caudate, posterior dorsal caudate, ventral putamen, anterior dorsal putamen and posterior dorsal putamen. | atlas, map, bp quantitation, striatum, uptake location | is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) | Available to the research community, Free, Acknowledgement requested | SCR_014173 | 2026-02-12 09:45:56 | 0 | ||||||||||
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Brain Coactivation Map Resource Report Resource Website |
Brain Coactivation Map (RRID:SCR_014172) | data or information resource, atlas | The Brain Coactivation Map describes all the coactivation networks in the human brain based on the meta-analysis of more than 5,400 neuroimaging articles (from NeuroSynth) containing more than 16,000 individual experiments. The map can be browsed interactively (CoactivationMap.app on GitHub) or queried from a shell using a command line tool (cmtool on GitHub). | atlas, map, coactivation network, human brain, interactive, command line |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: Pasteur Institute |
Available to the research community | https://github.com/r03ert0/CoactivationMap.app https://github.com/r03ert0/cmtool |
SCR_014172 | 2026-02-12 09:45:49 | 0 |
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