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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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ADHD-200 Preprocessed Data Resource Report Resource Website 1+ mentions |
ADHD-200 Preprocessed Data (RRID:SCR_000576) | ADHD-200 Preprocessed Data | data or information resource, data set | Preprocessed versions of the ADHD-200 Global Competition data including both preprocessed versions of structural and functional datasets previously made available by the ADHD-200 consortium, as well as initial standard subject-level analyses. The ADHD-200 Sample is pleased to announce the unrestricted public release of 776 resting-state fMRI and anatomical datasets aggregated across 8 independent imaging sites, 491 of which were obtained from typically developing individuals and 285 in children and adolescents with ADHD (ages: 7-21 years old). Accompanying phenotypic information includes: diagnostic status, dimensional ADHD symptom measures, age, sex, intelligence quotient (IQ) and lifetime medication status. Preliminary quality control assessments (usable vs. questionable) based upon visual timeseries inspection are included for all resting state fMRI scans. In accordance with HIPAA guidelines and 1000 Functional Connectomes Project protocols, all datasets are anonymous, with no protected health information included. They hope this release will open collaborative possibilities and contributions from researchers not traditionally addressing brain data so for those whose specialties lay outside of MRI and fMRI data processing, the competition is now one step easier to join. The preprocessed data is being made freely available through efforts of The Neuro Bureau as well as the ADHD-200 consortium. They ask that you acknowledge both of these organizations in any publications (conference, journal, etc.) that make use of this data. None of the preprocessing would be possible without the freely available imaging analysis packages, so please also acknowledge the relevant packages and resources as well as any other specific release related acknowledgements. You must be logged into NITRC to download the ADHD-200 datasets, http://www.nitrc.org/projects/neurobureau | mri, fmri, brain, neuroimaging, attention deficit-hyperactivity disorder, anatomical, resting state, child, adolescent, human, young, early adult human, functional imaging, structural imaging |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: Neuro Bureau has parent organization: Neuro Bureau has parent organization: ADHD-200 Sample |
Attention deficit-hyperactivity disorder | Free, Public, Account required, Acknowledgement requested | nlx_144425 | http://www.nitrc.org/ir/app/template/XDATScreen_report_xnat_projectData.vm/search_element/xnat:projectData/search_field/xnat:projectData.ID/search_value/adhd_200 | SCR_000576 | 2026-09-19 12:58:30 | 4 | ||||||
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Center for Functional Neuroimaging Technologies Resource Report Resource Website 1+ mentions |
Center for Functional Neuroimaging Technologies (RRID:SCR_001423) | CFNT | access service resource, biomedical technology research center, service resource, training resource | Biomedical technology research center that develops and applies innovative neuroimaging technologies and techniques to enable closer examination of the human brain, and thereby contribute to better understanding of the brain in health and disease. They develop new techniques and advance existing technologies for acquisition and analysis of functionally specific images of the working brain, with unprecedented physiological precision and spatiotemporal resolution. The research and development aims to improve and extend existing methods for non-invasive magnetic resonance image analysis and acquisition, electromagnetic source imaging, optical neuroimaging, and most recently, combined MR-PET neuroimaging. The Resource provides an essential interactive environment, within which an interdisciplinary team of highly skilled scientists, engineers, and clinicians with diverse expertise in multiple modalities and disciplines. The resource supports service use of the Center's facilities by neuroscientists throughout the country, provide extensive training opportunities for students, fellows, and staff scientists, and seek to advance the field of brain mapping through active dissemination of new knowledge and technology. | mri, neuroimaging, pet, acquisition, analysis, brain, electromagnetic source imaging, optical neuroimaging, multimodal, magnetic resonance, eeg, meg, electrocorticography, information resource, optical imaging |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: Harvard Medical School; Massachusetts; USA |
NIBIB 5P41EB015896-18 | Free, Available for download, Freely available | nlx_152644 | http://www.nitrc.org/projects/cfnt | SCR_001423 | 2026-09-19 12:58:32 | 1 | ||||||
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Maps4Mipav (Exploratory JIST) Resource Report Resource Website |
Maps4Mipav (Exploratory JIST) (RRID:SCR_000613) | Maps4Mipav, | software resource, source code | The exploratory development tree of Java Image Science Toolkit (JIST), an extension to the MIPAV (Medical Image Processing, Analysis, and Visualization) plug-in framework that allows the user to design and execute pipelines, which are multi-stage processing tasks.. New features and designs are tested here before general release into the JIST project. JIST was formerly known as the MedIC Automated Pipeline Scheduler (MAPS). | magnetic resonance |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: JIST: Java Image Science Toolkit is related to: MIPAV: Medical Image Processing and Visualization |
Free, Available for download, Freely available | nlx_151345 | SCR_000613 | MedIC Automated Pipeline Scheduler Medical Image Processing Analysis and Visualization | 2026-09-19 12:58:30 | 0 | |||||||
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NIRx NIRS Neuroimaging Resource Report Resource Website 10+ mentions |
NIRx NIRS Neuroimaging (RRID:SCR_002491) | instrument supplier, material resource | Commercial technology solutions for NIRS neuroscience imaging applications. | hardware, image reconstruction, nirs, fnir, optical imaging, physiological recording, tomography, neuroimaging, adult, infant, child, imaging |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is parent organization of: NIRStar is parent organization of: NIRSPORT |
Restricted | nlx_155886 | http://www.nitrc.org/projects/nirx | SCR_002491 | NIRx Optical Neuroimaging | 2026-09-19 12:58:34 | 21 | |||||||
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Beijing: Eyes Open Eyes Closed Study Resource Report Resource Website |
Beijing: Eyes Open Eyes Closed Study (RRID:SCR_001507) | Beijing EOEC | data or information resource, data set | Data set of 48 healthy controls from a community (student) sample from Beijing Normal University in China with 3 resting state fMRI scans each. During the first scan participants were instructed to rest with their eyes closed. The second and third resting state scan were randomized between resting with eyes open versus eyes closed. In addition this dataset contains a 64-direction DTI scan for every participant. The following data are released for every participant: * 6-minute resting state fMRI scan (R-fMRI) * MPRAGE anatomical scan, defaced to protect patient confidentiality * 64-direction diffusion tensor imaging scan (2mm isotropic) * Demographic information and information on the counterbalancing of eyes open versus eyes closed. | early adult human, resting state, fmri, diffusion tensor imaging, resting state fmri, eyes open, eyes closed, neuroimaging, mprage, image collection, brain |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: Beijing Normal University; Beijing; China has parent organization: 1000 Functional Connectomes Project |
Healthy | National Natural Science Foundation of China 30770594; National High Technology Program of China (863) 2008AA02Z405 |
Creative Commons Attribution-NonCommercial License | nlx_152810 | SCR_001507 | Beijing Eyes Open Eyes Closed Study, Beijing Normal University State Key Laboratory of Cognitive Neuroscience and Learning Eyes Open Eyes Closed Sample, Eyes Open Eyes Closed Sample, BNU Eyes Open Eyes Closed Sample | 2026-09-19 12:58:33 | 0 | |||||
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Automated recognition of brain region mentions in neuroscience literature. Resource Report Resource Website 1+ mentions |
Automated recognition of brain region mentions in neuroscience literature. (RRID:SCR_002731) | WhiteText | data or information resource, data set | Freely available corpus of manually annotated brain region mentions created to facilitate text mining of neuroscience literature. The corpus contains 1,377 abstracts with 18,242 brain region annotations. Interannotator agreement was evaluated for a subset of the documents, and was 90.7% and 96.7% for strict and lenient matching respectively. We observed a large vocabulary of over 6,000 unique brain region terms and 17,000 words. For automatic extraction of brain region mentions we evaluated simple dictionary methods and complex natural language processing techniques. The dictionary methods based on neuroanatomical lexicons recalled 36% of the mentions with 57% precision. The best performance was achieved using a conditional random field (CRF) with a rich feature set. Features were based on morphological, lexical, syntactic and contextual information. The CRF recalled 76% of mentions at 81% precision, by counting partial matches recall and precision increase to 86% and 92% respectively. We suspect a large amount of error is due to coordinating conjunctions, previously unseen words and brain regions of less commonly studied organisms. We found context windows, lemmatization and abbreviation expansion to be the most informative techniques. We encourage you to test new methods and applications of the dataset. Please contact us if you do, we would like to hear about and link to your work. The abstracts are from PubMed/Medline, specifically The Journal of Comparative Neurology. | brain region, annotation, journal of comparative neurology, neuroanatomy, brain |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: PubMed is related to: MEDLINE has parent organization: University of British Columbia; British Columbia; Canada |
PMID:19750194 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-24027 | http://www.nitrc.org/projects/whitetext/ | SCR_002731 | WhiteText - annotated neuroscience text | 2026-09-19 12:58:35 | 3 | |||||
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Bisque Resource Report Resource Website 10+ mentions |
Bisque (RRID:SCR_005564) | Bisque | software resource, source code | A scalable web-based system for biological image analysis, management and exploration. The Bisque system incorporates many features useful to imaging researchers from image capture to extensible image analysis and querying. At the core, bisque maintains a flexible database of images and experimental metadata. Image analyses can be incorporated into the system and deployed on clusters and desktops. Search and comparison of datasets by image data and content is supported. Novel semantic analyses are integrated into the system allowing high level semantic queries and comparison of image content. New features and testing of Bisque version: 0.5.1, among many others are: # Parallel execution of datasets # Rich interfaces for autogenerated module UI # Abstracted storage system for local, irods, etc.. They are using Mercurial for their source control system. This should be installed before proceeding. Browse source on-line, http://biodev.ece.ucsb.edu/projects/bisquik/browser Bisque Installation, http://biodev.ece.ucsb.edu/projects/bisquik/wiki/InstallationInstructions05 Bisque DOWNLOAD, http://biodev.ece.ucsb.edu/projects/bisquik/wiki/download, THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | image, biology, annotate, metadata, analysis, magnetic resonance |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: Center for Bio-Image Informatics |
NSF ITR-0331697; NSF IIS-0808772 |
PMID:20031971 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_144653 | http://www.nitrc.org/projects/bisque | SCR_005564 | Bio-Image Semantic Query User Environment, Bisque - Bio-Image Semantic Query User Environment | 2026-09-19 12:58:37 | 20 | ||||
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CANDI Share: Schizophrenia Bulletin 2008 Resource Report Resource Website 1+ mentions |
CANDI Share: Schizophrenia Bulletin 2008 (RRID:SCR_009451) | CANDI Share: Schizophrenia Bulletin 2008 | data or information resource, data set | This project hosts data for CANDI Share Schizophrenia Bulletin 2008 (reference below) as part of the CANDI Neuroimaging Access Point. This set includes preprocessed MRI images and segmentation results of all 4 diagnostic groups (Healthy Controls, N=29; Schizophrenia Spectrum, N=20; Bipolar Disorder with Psychosis, N=19; and Bipolar Disorder without Psychosis, N=35). Frazier JA, Hodge SM, Breeze JL, Giuliano AJ, Terry JE, Moore CM, Kennedy DN, Lopez-Larson MP, Caviness VS, Seidman LJ, Zablotsky B, Makris N. Diagnostic and sex effects on limbic volumes in early-onset bipolar disorder and schizophrenia. Schizophr Bull. 2008 Jan;34(1):37-46. | magnetic resonance, mri, segmentation, image collection |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: CANDI Neuroimaging Access Point |
Bipolar Disorder, Schizophrenia, Healthy, Bipolar Disorder without psychosis, Bipolar Disorder with psychosis, Psychosis | PMID:18003631 | Creative Commons Attribution License | nlx_155595 | SCR_009451 | 2026-09-19 12:58:41 | 2 | ||||||
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PsychoPy Resource Report Resource Website 1000+ mentions |
PsychoPy (RRID:SCR_006571) | PsychoPy | software application, software resource | Open source application to allow the presentation of stimuli and collection of data for a wide range of neuroscience, psychology and psychophysics experiments. It is intended as a free, powerful alternative to Presentation or e-Prime. | console (text based), experimental control, freebsd, linux, macos, microsoft, magnetic resonance, posix/unix-like, python, win32 (ms windows), windows, neuroscience, psychology, psychophysics |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Debian has parent organization: University of Nottingham; Nottingham; United Kingdom |
PMID:17254636 PMID:19198666 |
GNU General Public License | nlx_155928 | http://www.nitrc.org/projects/psychopy, https://sources.debian.org/src/psychopy/ | SCR_006571 | PsychoPy - Psychology software in Python | 2026-09-19 12:57:53 | 2245 | |||||
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Low Resolution Electromagnetic Tomography Resource Report Resource Website 500+ mentions |
Low Resolution Electromagnetic Tomography (RRID:SCR_007077) | LORETA | software resource, software toolkit | Software package for functional imaging of human brain. Used to compute three dimensional distribution of electric neuronal activity from non-invasive measurements of scalp electric potential differences with high time resolution in millisecond range. Non-invasive intracranial time series are used for studying functional dynamic connectivity.. Current software version includes two new, improved variants of the original method: standardized (sLORETA) and exact (eLORETA). The new methods are characterized by exact localization when tested with point sources. Due to the fact that these methods are multivariate tomographies that are solutions to the inverse EEG problem, and that they are linear in nature, they will produce a low spatial resolution image for any distribution of activity. This property is not shared by naive one-at-a-time single dipole techniques. | eeg, meg, electrocorticography, eeg modeling, forward - inverse, modeling, functional, statistical, visualization, dynamic functional connectivity, microstate segmentation, electroencephalogram, nonparametric randomization |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Biositemaps is related to: exact Low Resolution Electromagnetic Tomography is related to: sLORETA has parent organization: University of Zurich; Zurich; Switzerland |
Roche Research Foundation | PMID:7876038 PMID:12575492 |
Free, Non-commercial | nif-0000-00323 | http://www.nitrc.org/projects/loreta | SCR_007077 | LORETA: low resolution brain electromagnetic tomography, Low Resolution Electromag TomogrAphy | 2026-09-19 12:57:54 | 578 | ||||
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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 | 2026-09-19 12:57:52 | 144 | ||||
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Parkinson's Progression Markers Initiative Resource Report Resource Website 500+ mentions |
Parkinson's Progression Markers Initiative (RRID:SCR_006431) | PPMI | biomaterial supply resource, material resource | An observational longitudinal clinical study partnership to identify and validate biomarkers of Parkinson disease (PD) progression and provide easy and open web-based access to the comprehensive set of correlated clinical data and biospecimens, information, and biosamples acquired from PD and age and gender matched healthy control subjects to the research community. The data and specimens have been collected in a standardized manner under strict protocols and includes clinical (demographic, motor and non-motor, cognitive and neurobehavioral), imaging (raw and processed MRI, SPECT and DAT), and blood chemistry and hematology subject assessments and biospecimen inventories (serum, plasma, whole blood, CSF, DNA, RNA and urine). All data are de-identified to protect patient privacy. PPMI will be carried out over five years at 21 clinical sites in the United States and Europe and requires the participation of 400 Parkinson's patients and 200 control participants. The PPMI database provides researchers with access to correlated clinical and imaging data, along with annotated biospecimens, all available within an open access system that encourages data sharing (http://www.ppmi-info.org/access-data-specimens/). The website hosts an Ongoing Analysis section to keep the scientific community apprised of analyses being completed, in hopes of stimulating collaborations between researchers who are using PPMI data and specimens. | analyze, atlas data, clinical neuroinformatics, computational neuroscience, dicom, imaging genomics, loni pipeline, minc, magnetic resonance, pet, spect, dat, image collection, clinical, biological, imaging data, biomarker, imaging, demographic, motor, cognitive, neurobehavioral, hematology, consortium, biosample, sleep, longitudinal, FASEB list |
is used by: Biomarkers Across Neurodegenerative Diseases is listed by: Consortia-pedia is listed by: One Mind Biospecimen Bank Listing is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: NIH Data Sharing Repositories is related to: NIH Data Sharing Repositories has parent organization: Laboratory of Neuro Imaging has parent organization: Michael J. Fox Foundation for Parkinsons Research |
Parkinson's disease, Control | Michael J. Fox Foundation for Parkinsons Research ; consortium of industry partners ; non-profit organizations ; private individuals |
Open unspecified license, Application required | nlx_33115 | http://www.nitrc.org/projects/ppmi | SCR_006431 | Parkinson's Progression Markers Initiative | 2026-09-19 12:57:53 | 992 | ||||
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DICOM UploadGUI Resource Report Resource Website |
DICOM UploadGUI (RRID:SCR_009458) | DICOM_UploadGUI | software application, software resource | A Java tool that takes an unorganized collection of DICOM scans, sorts and categorizes them according to user-customizable rules, gathers metadata about the scans, and saves out this information to help facilitate data uploads. Batch pr | magnetic resonance | is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) | nlx_155604 | SCR_009458 | DICOM UploadGUI | 2026-09-19 12:58:06 | 0 | ||||||||
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Create DWI Atlas Resource Report Resource Website |
Create DWI Atlas (RRID:SCR_009455) | Create DWI Atlas | software resource, software toolkit | This package is a set of three slicer modules which together are able to compute a DWI Atlas given a set of DWI''s. The modules included are: # A Groupwise Registration module -> compute''s a deformation field for each DWI, using, for example, FA maps as input # Warp DWI module -> used to warp each DWI using the deformation from (1) # DWI Averager -> used to average the set of warped DWI''s producing the final DWI Atlas | magnetic resonance | is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) | 3D Slicer License | nlx_155601 | SCR_009455 | 2026-09-19 12:58:06 | 0 | ||||||||
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FMRIpower Resource Report Resource Website 10+ mentions |
FMRIpower (RRID:SCR_009576) | fmripower | software application, software resource | An easy to use matlab-based graphical user interface that calculates power for future studies based on older analyses or pilot data. | analyze, linear, matlab, magnetic resonance, nifti, regression, statistical operation, fmri |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: University of California at Los Angeles; California; USA |
PMID:17919925 | Public Domain | nlx_155757 | http://www.nitrc.org/projects/fmripower | SCR_009576 | 2026-09-19 12:58:07 | 16 | ||||||
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CAMINO-TRACKVIS Resource Report Resource Website |
CAMINO-TRACKVIS (RRID:SCR_009450) | CAMINO-TRACKVIS | software application, software resource, systems interoperability software | Software package that allows interoperability between CAMINO and TRACKVIS. CAMINO is a leading software package in DTI processing. The package is from University of College London. TRACKVIS is a tract visualizing utility with capability of visualizing up to and over a million white matter tracts seamlessly. The package is from Massachusetts General Hospital. With increasing efforts on brain connectivity analyses it becomes important to have tools that can allow increased interoperability among different tractography tools. The tools in this package allow conversion of tracts from one format to another in a very effective way with ability to handle over a million tracts. | magnetic resonance, tractography |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: Camino is related to: TrackVis |
MIT License, X Consortium License | nlx_155594 | SCR_009450 | 2026-09-19 12:58:06 | 0 | ||||||||
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EEProbe Resource Report Resource Website 10+ mentions |
EEProbe (RRID:SCR_009570) | eeprobe | software application, software resource | A complete software package for the study of event-related brain activity with high-resolution EEG/MEG. This package has been designed to suit the high standards of neuroscience research. The software has been developed originally at the Max Planck Institute for Cognitive Neuroscience in Leipzig, Germany, and is available for other institutions through ANT Neuro B.V., The Netherlands, enhanced with the EEProbe Databrowser. ERP investigations, both in psychophysiology research and clinical applications require a multitude of processing steps. Analysis of large data sets is made efficient through advanced scripting possibilities. All different aspects of data handling are efficiently available in the EEProbe Databrowser. Alternatively, external data can be imported from a multitude of formats. Processing in EEProbe makes use of open file formats (see LIBEEP) and is designed to integrate with ASA for advanced source analysis. EEProbe is available for Linux and Mac OS X. | eeg, meg, electrocorticography, event related potential, time domain analysis | is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) | Commercial license | nlx_155750 | http://www.nitrc.org/projects/eeprobe | SCR_009570 | 2026-09-19 12:58:07 | 26 | |||||||
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E-Prime Extensions for fMRI Resource Report Resource Website |
E-Prime Extensions for fMRI (RRID:SCR_009568) | EEfMRI | software application, software resource | Software designed to optimize E-Prime experiments for fMRI research. EEfMRI allows you to synchronize the start of your experiment with the first scanner trigger pulse along with several valuable features to enhance the control you have over your experiment. Implementing EEfMRI into your current experiments is achieved by simply dragging and dropping the correct EEfMRI package calls into the E-Prime experiment in the appropriate places. EEfMRI is designed to integrate with other PST hardware and software to increase usability for researchers while maintaining the millisecond accuracy of E-Prime. | experimental control, microsoft, magnetic resonance, win32 (ms windows), windows, windows vista, windows xp, fmri | is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) | Other/Commercial license License | nlx_155748 | http://www.nitrc.org/projects/eefmri | SCR_009568 | 2026-09-19 12:58:07 | 0 | |||||||
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cPPI Toolbox for fMRI Resource Report Resource Website 1+ mentions |
cPPI Toolbox for fMRI (RRID:SCR_009518) | cPPI Toolbox for fMRI | software resource, software toolkit | A Matlab toolbox that allows computation of task-related functional connectivity between multiple pairs of regions. Task-related functional connectivity is computed using the correlational psychophysiological interaction (cPPI) methodology described in Fornito et al. (2012) PNAS, 109: 12788-12793. The toolbox assumes that first-level design matrices have been specified and estimated using SPM5 or later. It takes as input these design matrices as well as user-extracted regional time courses and returns a matrix of pair-wise, task-related functional connectivity for each participant. The method is scalable to large networks comprising hundreds of regions and is well-suited to graph theoretic analyses and functional connectomics. One modifiable script, cPPI_master.m, can be used to run the analysis for an entire sample of participants. | reusable library, clinical neuroinformatics, computational neuroscience, connectivity analysis, imaging genomics, matlab, magnetic resonance, task, functional connectivity, region, connectivity | is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) | GNU General Public License | nlx_155679 | SCR_009518 | 2026-09-19 12:58:07 | 1 | ||||||||
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Finsler tractography module for Slicer Resource Report Resource Website |
Finsler tractography module for Slicer (RRID:SCR_009477) | Finsler tractography module for Slicer | software application, software resource | This module implements the Finsler tractography method with HARDI data described by J. Melonakos et al. From a set of seeding and target points, the paths are estimated as the shortest path taking into account a local, directional dependent cost. The output provided is the connectivity map from each voxel in the volume to the seeding points, plus a vector volume with the directions tangent to the fiber bundles at each point. If the Backtracing module within is built, these directions can be traced back to actually compute the fiber bundles (VTK required). The software can be built as either a stand-alone or a CLI plugin for 3D Slicer. | c++, connectivity analysis, console (text based), diffusion mr fiber tracking, diffusion spectrum, direction, fiber tracking, linux, macos, microsoft, modeling, magnetic resonance, nrrd, posix/unix-like, q-ball, super tensor, tensor metric, tractography |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: 3D Slicer is parent organization of: Fiber-tracking based on Finsler distance |
3D Slicer License | nlx_155624 | SCR_009477 | 2026-09-19 12:58:07 | 0 |
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