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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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Hierarchical Attribute Matching Mechanism for Elastic Registration Resource Report Resource Website 50+ mentions |
Hierarchical Attribute Matching Mechanism for Elastic Registration (RRID:SCR_001960) | HAMMER | data processing software, software application, software resource | Software package that performs high-dimensional warping of brain images. Standard voxel-based analysis can be applied to these tissue density maps, in order to examine regional volumetrics, effects of disease, or correlations with clinical measurements. In order to make HAMMER as robust as possible to different acquisition protocols and conditions, they provide a distribution that assumes that images have been skull-stripped and segmented into gray matter, white matter, and ventricular CSF. We have other software tools that can perform these steps, including skull stripping, reorientation and reslicing, and segmentation tools. Importantly, they use 250 for WM, 150 for GM, 50 for Ventricles and 10 for CSF in the tissue-segmented brain images. Current modules used for group analysis: Labeling subject brain using a manually-labeled brain Model; Generating RAVENS map for each tissue (WM, GM, VN); Normalizing subject brain images | magnetic resonance, software package, data processing, high dimensional warping |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: University of Pennsylvania; Philadelphia; USA |
PMID:12575879 PMID:12507441 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-00310 | http://www.nitrc.org/projects/hammerwml | SCR_001960 | HAMMER: Deformable Registration | 2026-08-04 09:40:31 | 50 | |||||
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FMRISTAT - A general statistical analysis for fMRI data Resource Report Resource Website 1+ mentions |
FMRISTAT - A general statistical analysis for fMRI data (RRID:SCR_001830) | FMRISTAT | data processing software, software application, software resource, image analysis software | A Matlab toolbox for the statistical analysis of fMRI data. The fMRI data was first converted to percentage of whole volume. The statistical analysis of the percentages was based on a linear model with correlated errors. The design matrix of the linear model was first convolved with a hemodynamic response function modelled as a difference of two gamma functions timed to coincide with the acquisition of each slice. Temporal drift was removed by adding a cubic spline in the frame times to the design matrix (one covariate per 2 minutes of scan time), and spatial drift was removed by adding a covariate in the whole volume average. The correlation structure was modelled as an autoregressive process of degree 1. At each voxel, the autocorrelation parameter was estimated from the least squares residuals using the Yule-Walker equations, after a bias correction for correlations induced by the linear model. The autocorrelation parameter was first regularized by spatial smoothing, then used to "whiten" the data and the design matrix. The linear model was then re-estimated using least squares on the whitened data to produce estimates of effects and their standard errors. In a second step, runs, sessions and subjects were combined using a mixed effects linear model for the effects (as data) with fixed effects standard deviations taken from the previous analysis. This was fitted using ReML implemented by the EM algorithm. A random effects analysis was performed by first estimating the the ratio of the random effects variance to the fixed effects variance, then regularizing this ratio by spatial smoothing with a Gaussian filter. The variance of the effect was then estimated by the smoothed ratio multiplied by the fixed effects variance. The amount of smoothing was chosen to achieve 100 effective degrees of freedom. The resulting T statistic images were thresholded using the minimum given by a Bonferroni correction and random field theory, taking into account the non-isotropic spatial correlation of the errors. | fmri, pet, statistical analysis, afni brik, analyze, console (text based), linear, matlab, minc, modeling, magnetic resonance, nifti, os independent, principal component analysis, regression, statistical operation |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: McGill University; Montreal; Canada |
PMID:11771969 | Free, Available for download, Freely available | nif-0000-00303 | http://www.nitrc.org/projects/fmristat | http://www.bic.mni.mcgill.ca/users/keith/ | SCR_001830 | 2026-08-04 09:40:29 | 2 | |||||
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Quantitative Diffusion Tools Resource Report Resource Website |
Quantitative Diffusion Tools (RRID:SCR_002527) | Quantitative Diffusion Tools | data processing software, software application, software resource | Slicer3 modules for quantitative diffusion analysis. Modules include tools for clustering fiber tracts, summarizing measures over tract clusters, etc. | c++, magnetic resonance, os independent, quantification, segmentation, tractography | is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) | Free, Available for download, Freely available | nlx_155933 | SCR_002527 | 2026-08-04 09:40:40 | 0 | ||||||||
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MINC Resource Report Resource Website 100+ mentions |
MINC (RRID:SCR_002391) | MINC | data processing software, software application, software resource, image analysis software | A medical imaging data format and an associated set of tools and libraries including a 3 level API for medical image analysis with a particular focus on the needs of research. There are also a number of tools including Registration and Non-Uniformity correction. | reusable library, c, file format, fortran, information specification, minc, minc2, magnetic resonance, os independent, perl, sh/bash, unix shell |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: SoftCite is related to: MINC Example files is related to: Extensible MATLAB Medical image Analysis has parent organization: McConnell Brain Imaging Center |
Free, Available for download, Freely available | nlx_155794 | http://www.nitrc.org/projects/minc | SCR_002391 | MINC - Medical Image NetCDF, Medical Imaging NetCDF | 2026-08-04 09:40:39 | 122 | ||||||
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3D Interactive Chemical Shift Imaging Resource Report Resource Website 1+ mentions |
3D Interactive Chemical Shift Imaging (RRID:SCR_002581) | 3DiCSI | data processing software, software application, software resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 13,2026. Software program for multi-dimensional CSI data visualization, spectral processing, localization, quantification and multi-variate analysis. | c++, dicom, microsoft, magnetic resonance, quantification, spatial transformation, statistical operation, temporal transformation, visualization, win32 (ms windows), windows |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: Columbia University; New York; USA |
THIS RESOURCE IS NO LONGER IN SERVICE | nlx_155986 | SCR_002581 | 3D Chemical Shift Imaging | 2026-08-04 09:40:41 | 1 | |||||||
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Cluster reporter Resource Report Resource Website |
Cluster reporter (RRID:SCR_002218) | Cluster reporter | data processing software, software application, software resource | This matlab script and associated files will take resultant statistical images and essentially output everything you could ever want to know. It can work off of images that were previously corrected for multiple comparisons, but it can actually do the correction itself. This is because the cluster_correct script is incorporated within. It will iterate through atlases (borrowed from other software) to tell you the location of significant results. It outputs an extremely detailed report as well as a summary table for quick investigation. In addition, it will output statistics for each surviving cluster, and the image as a whole. Feedback would be much appreciated. | magnetic resonance | is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) | Free, Available for download, Freely available | nlx_155532 | SCR_002218 | 2026-08-04 09:40:35 | 0 | ||||||||
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WFU Pipeline Resource Report Resource Website |
WFU Pipeline (RRID:SCR_002614) | WFU_Pipeline | data processing software, software application, software resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 14, 2026. A fully automated software application for the processing of fMRI data using SPM. It is fully automated from the point of data acquisition at the MRI scanner. It incorporates tools for automated data transfer, archiving, real-time SPM5 batch script generation with distributed grid processing, automated error-recovery procedures, full data-provenance, email notifications, optional conversion back to DICOM (Digital Imaging and Communications in Medicine), and picture archiving and communications systems (PACS) insertion. The architecture allows for an infinite number of easily definable analyses that are fully automated from the point of acquisition. Requirements: * MATLAB 7.3 or greater with the Image Processing Toolbox * SPM5 | analyze, c++, dicom, linux, matlab, magnetic resonance, nifti, posix/unix-like, unix shell, workflow, fmri |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: Wake Forest School of Medicine; North Carolina; USA |
THIS RESOURCE IS NO LONGER IN SERVICE | nlx_156017 | http://www.nitrc.org/projects/wfu_pipeline | SCR_002614 | WFU SPM5 Pipeline | 2026-08-04 09:40:41 | 0 | ||||||
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ValMap: simple statistical mapping tool Resource Report Resource Website 1+ mentions |
ValMap: simple statistical mapping tool (RRID:SCR_002610) | ValMap | data processing software, software application, software resource, image analysis software | A command line voxel-wise statistical analysis software program for images. Images can be gray matter density, jacobian images, etc. The linear model is implemented, i.e. designs that can be modeled as Y=AB, where Y is a vector or matrix of dependent variables, B is a vector or matrix of parameters to be estimated, and A is a design matrix. Why use valmap? # Do not need a Matlab license to run. # Can incorporate a spatially varying independent variable (e.g., you have a perfusion map as your dependent variable, and you want to co-vary for gray matter at each voxel, so use a gray matter map as an independent variable). # Can use spatially invariant independent variables (e.g., you can have a cognitive test score as the dependent variable, and use jacobian maps as the independent variable). # Can have multiple dependent variables and do multivariate analyses (e.g., want to know the overall effect of disease on perfusion and structure, so use perfusion maps and jacobian maps as dependent variables). | analyze, c, c++, java, linear, linux, microsoft, morphology, magnetic resonance, nifti, posix/unix-like, quantification, regression, statistical operation, win32 (ms windows), windows, windows xp |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: INCF Software Center |
Free, Available for download, Freely available | nlx_156013 | SCR_002610 | 2026-08-04 09:40:41 | 2 | ||||||||
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Functional Regression Analysis of DTI Tract Statistics Resource Report Resource Website |
Functional Regression Analysis of DTI Tract Statistics (RRID:SCR_002293) | FRATS | data processing software, software application, software resource, image analysis software | Software for the analysis of multiple diffusion properties along fiber bundle as functions in an infinite dimensional space and their association with a set of covariates of interest, such as age, diagnostic status and gender, in real applications. The resulting analysis pipeline can be used for understanding normal brain development, the neural bases of neuropsychiatric disorders, and the joint effects of environmental and genetic factors on white matter fiber bundles. | computational neuroscience, imaging genomics, magnetic resonance, regression analysis, dti, statistics |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: University of North Carolina at Chapel Hill; North Carolina; USA |
NSF BCS-08-26844; NCRR UL1-RR025747-01; NIMH MH086633; NIA AG033387; NIMH MH064065; NICHD HD053000; NIMH MH070890; NINDS R01NS055754; NIBIB U54 EB005149-01 |
PMID:20335089 | Academic Free License | nlx_155629 | SCR_002293 | Functional Regression Analysis of DTI | 2026-08-04 09:40:37 | 0 | |||||
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DTI-TEMPLATE-RHESUS-MACAQUES Resource Report Resource Website 1+ mentions |
DTI-TEMPLATE-RHESUS-MACAQUES (RRID:SCR_002482) | DTI-TEMPLATE-RHESUS-MACAQUES | reference atlas, atlas, data or information resource | A population-specific DTI template for young adolescent Rhesus Macaque (Macaca mulatta) monkeys using 271 high-quality scans. Using such a large number of animals in generating a template allows it to account for variability in the species. Their DTI template is based on the largest number of animals ever used in generating a computational brain template. It is anticipated that their DTI template will help facilitate voxel-based and tract specific WM analyses in non-human primate species, which in turn may increase our understanding of brain function, development, and evolution. | magnetic resonance, dti, young, adolescent, brain |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: University of Wisconsin-Madison; Wisconsin; USA |
NIMH MH62015; NIMH MH084051; NIMH MH080826; NIMH MH46729; NIMH MH81884; NIMH MH018931; NIBIB R03-EB009321 |
PMID:21803162 | Free, Available for download, Freely available | nlx_155872 | SCR_002482 | 2026-08-04 09:40:39 | 3 | ||||||
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Cluster Extent Correction Resource Report Resource Website |
Cluster Extent Correction (RRID:SCR_002226) | Cluster Extent Correction | data processing software, software application, software resource | This script will take any .img file and correct it based on a cluster extent, cluster definition and voxelwise threshold. The threshold entered will be applied to positive and negative values separately, and separate pos and neg corrected images will be output. This script requires a license for the matlab image processing toolbox. | magnetic resonance | is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) | GNU General Public License | nlx_155531 | SCR_002226 | 2026-08-04 09:40:36 | 0 | ||||||||
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McConnell Brain Imaging Center MNI Macaque Atlas Resource Report Resource Website 1+ mentions |
McConnell Brain Imaging Center MNI Macaque Atlas (RRID:SCR_005265) | reference atlas, atlas, data or information resource | A reference atlas of standard macaque monkey magnetic resonance images. The template brain volume that offers a common stereotaxic reference frame to localize anatomical and functional information in an organized and reliable way for comparison across individual macaque monkeys and studies. We have used MRI volumes from a group of 25 normal adult macaque monkeys (18 Macaca fascicularis, 7 Macaca mulatta) to create the individual atlas. Thus, the atlas does not rely on the anatomy of a single subject, but instead depends on nonlinear normalization of numerous macaque brains mapped to an average template image that is faithful to the location of anatomical structures. Tools for registering a native MRI to the MNI macaque atlas can be found in the Software section. Viewing the atlas and associated volumes online requires Java browser support. Additionally, you may download the atlas and associated files in your chosen format. | macaque, brain, early adult, template, atlas application, minc, minc2, magnetic resonance, nifti, mri |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: McConnell Brain Imaging Center |
PMID:21256229 | Free | nlx_144292 | http://www.nitrc.org/projects/mniatlas | SCR_005265 | MNI Macaque Atlas, BIC MNI Macaque Atlas | 2026-08-04 09:41:19 | 2 | ||||||
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MeshValmet: Validation Metric for Meshes Resource Report Resource Website |
MeshValmet: Validation Metric for Meshes (RRID:SCR_006622) | MeshValmet | data processing software, software application, software resource | A tool that measures surface to surface distance between two triangle meshes using user-specified uniform sampling. Thus, users can choose finer sampling level to calculate errors to gain more accuracy in theerror space, or sparser sampling to gain speed and get an approximate feeling of error distribution between boundaries. Besides its pleasant visualization using the VTK library, MeshValmet also provides useful histogram and statistical information based on the sample errors, such as mean and median distance, root mean square distance, mean square distance, mean absolute distance, Hausdorff distance, 95 percentile, 68 percentile, etc. MeshValmet is based on the work of Nicolas Aspert, etc.: MESH: Measuring Errors between Surfaces using the Hausdorff distance in the proceedings of the IEEE Int. Conf. on Multimedia and Expo 2002 (ICME), vol. I, pp. 705-708. The calculation of the Dice's Coefficient is calculated by Joshua Stough using the concept of a Riemannian sum. | magnetic resonance | is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) | GNU General Public License | nlx_155811 | http://www.nitrc.org/projects/meshvalmet | SCR_006622 | 2026-08-04 09:41:40 | 0 | |||||||
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EEGLAB Resource Report Resource Website 5000+ mentions |
EEGLAB (RRID:SCR_007292) | EEGLAB | data processing software, software application, software resource, software toolkit | Interactive Matlab toolbox for processing continuous and event-related EEG, MEG and other electrophysiological data incorporating independent component analysis (ICA), time/frequency analysis, artifact rejection, event-related statistics, and several useful modes of visualization of the averaged and single-trial data. First developed on Matlab 5.3 under Linux, EEGLAB runs on Matlab v5 and higher under Linux, Unix, Windows, and Mac OS X (Matlab 7+ recommended). EEGLAB provides an interactive graphic user interface (GUI) allowing users to flexibly and interactively process their high-density EEG and other dynamic brain data using independent component analysis (ICA) and/or time/frequency analysis (TFA), as well as standard averaging methods. EEGLAB also incorporates extensive tutorial and help windows, plus a command history function that eases users'' transition from GUI-based data exploration to building and running batch or custom data analysis scripts. EEGLAB offers a wealth of methods for visualizing and modeling event-related brain dynamics, both at the level of individual EEGLAB ''datasets'' and/or across a collection of datasets brought together in an EEGLAB ''studyset.'' For experienced Matlab users, EEGLAB offers a structured programming environment for storing, accessing, measuring, manipulating and visualizing event-related EEG data. For creative research programmers and methods developers, EEGLAB offers an extensible, open-source platform through which they can share new methods with the world research community by publishing EEGLAB ''plug-in'' functions that appear automatically in the EEGLAB menu of users who download them. For example, novel EEGLAB plug-ins might be built and released to ''pick peaks'' in ERP or time/frequency results, or to perform specialized import/export, data visualization, or inverse source modeling of EEG, MEG, and/or ECOG data. EEGLAB Features * Graphic user interface * Multiformat data importing * High-density data scrolling * Defined EEG data structure * Open source plug-in facility * Interactive plotting functions * Semi-automated artifact removal * ICA & time/frequency transforms * Many advanced plug-in toolboxes * Event & channel location handling * Forward/inverse head/source modeling | visualization, eeg modeling, independent component analysis, meg modeling, eeg, erp, spectral decomposition, single-trial, matlab, meg, electrophysiology, format conversion, source separation analysis, fourier time-domain analysis, spectral analysis, temporal wavelet analysis, anova, event related potential, three dimensional display, two dimensional display |
uses: ERPwavelab is used by: PeriodAmplitudeAnalysis is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Biositemaps is listed by: SoftCite is related to: Neural Maestro is related to: Measure Projection Toolbox is related to: NFT is related to: Source Information Flow Toolbox is related to: HeadIT is related to: BCILAB is related to: EEGVIS is related to: EYE-EEG (combined eye-tracking & EEG) is related to: Libeep EEGLAB plugin is related to: The Bergen fMRI Toolbox Plugin for EEGLab is related to: BVA import/export EEGLAB plugin has parent organization: Swartz Center for Computational Neuroscience has plug in: Dusk2Dawn works with: FieldTrip |
NINDS | PMID:15102499 | Free, Available for download, Freely available | nif-0000-00076 | https://eeglab.org/others/EEGLAB_References.html | http://www.nitrc.org/projects/incf_eeglab/, http://sccn.ucsd.edu/eeglab/index.html | SCR_007292 | 2026-08-04 09:41:48 | 6721 | ||||
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Bioelectromagnetism Matlab Toolbox Resource Report Resource Website 1+ mentions |
Bioelectromagnetism Matlab Toolbox (RRID:SCR_006090) | data processing software, software application, software resource, software toolkit | Software toolbox to facilitate quick and easy import, visualization and measurement for Event Related Potential (ERP) data. The toolbox can open and visualise ERP averaged data (Neuroscan, ascii formats), 2D/3D electrode coordinates and 3D cerebral tissue tesselations (meshes). All the features can be explored quickly and easily using the example data provided in the toolbox. The GUI interface is simple and intuitive. | eeg, meg, mri, electrocorticography, event related potential, time domain analysis |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: ERPLAB has parent organization: University of California at San Francisco; California; USA has parent organization: SourceForge |
GNU General Public License | nif-0000-00268 | http://www.nitrc.org/projects/eeg | SCR_006090 | EEG Toolbox | 2026-08-04 09:41:30 | 1 | |||||||
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NeuroSynth Resource Report Resource Website 1000+ mentions |
NeuroSynth (RRID:SCR_006798) | Neurosynth | database, software resource, source code, data or information resource | Platform for large-scale, automated synthesis of functional magnetic resonance imaging (fMRI) data extracted from published articles. It''s a website wrapped around a set of open-source Python and JavaScript packages. Neurosynth lets you run crude but useful analyses of fMRI data on a very large scale. You can: * Interactively visualize the results of over 3,000 term-based meta-analyses * Select specific locations in the human brain and view associated terms * Browse through the nearly 10,000 studies in the database Their ultimate goal is to enable dynamic real-time analysis, so that you''ll be able to select foci, tables, or entire studies for analysis and run a full-blown meta-analysis without leaving your browser. You''ll also be able to do things like upload entirely new images and obtain probabilistic estimates of the cognitive states most likely to be associated with the image. | activation foci, magnetic resonance imaging assay, brain, human, fmri, neuroimaging, python, image, functional neuroimaging, FASEB list |
is used by: NeuroVault is used by: NIF Data Federation is listed by: GitHub is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: Brainspell has parent organization: University of Texas at Austin; Texas; USA |
NIMH R01MH096906 | PMID:21706013 | Neurosynth Automated Coordinate Extraction (ACE) tools under, Open unspecified license, Open Software License, v3, Http://www.nitrc.org/include/glossary.php#552, Software is, Free, Copyright and permission notice required | nlx_55906 | http://www.nitrc.org/projects/neurosynth, https://github.com/tyarkoni/neurosynth | SCR_006798 | Neurosynth.org | 2026-08-04 09:41:40 | 1174 | ||||
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Neurophysiological Biomarker Toolbox Resource Report Resource Website 10+ mentions |
Neurophysiological Biomarker Toolbox (RRID:SCR_009612) | NBT | data processing software, software application, software resource, software toolkit | An open source Matlab toolbox for the computation and integration of neurophysiological biomarkers. NBT offers a pipeline from data storage to statistics including artifact rejection, signal visualization, biomarker computation, and statistical testing. NBT allows for easy implementation of new biomarkers, and incorporates an online wiki that facilitates collaboration among NBT users including extensive help and tutorials. NBT is specialized in analyzing EEG data, however it allows the processing of any kind of signal. NBT can, e.g., be used to analyze ongoing oscillation between: * Eyes-closed rest of subject populations (e.g., healthy subjects and patients, males vs. females, young vs. old, etc.). * Two experimental condition (e.g., classical eyes-closed rest vs. meditation, or before vs. after consumption of a CNS-active substance (a drug, coffee, nicotine, alcohol, etc.)., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | brain vision analyzer data exchange format, database application, edf/bdf/gdf, eeg format, eeg, meg, electrocorticography, egi, fourier time-domain analysis, matlab, os independent, statistical operation, temporal transformation, temporal wavelet analysis, visualization, web service, workflow |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: VU University; Amsterdam; Netherlands |
THIS RESOURCE IS NO LONGER IN SERVICE | nlx_155831 | http://www.nitrc.org/projects/nbt | SCR_009612 | The Neurophysiological Biomarker Toolbox | 2026-08-04 09:42:25 | 35 | ||||||
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JIST: Java Image Science Toolkit Resource Report Resource Website 10+ mentions |
JIST: Java Image Science Toolkit (RRID:SCR_008887) | JIST | data processing software, software application, software resource | A native Java-based imaging processing environment similar to the ITK/VTK paradigm. Initially developed as an extension to MIPAV (CIT, NIH, Bethesda, MD), the JIST processing infrastructure provides automated GUI generation for application plug-ins, graphical layout tools, and command line interfaces. This repository maintains the current multi-institutional JIST development tree and is recommended for public use and extension. JIST was originally developed at IACL and MedIC (Johns Hopkins University) and is now also supported by MASI (Vanderbilt University). | experimental control, modeling, quantification, segmentation, shape analysis, spatial transformation, workflow, macos, windows, os independent, bsd, linux, sunos/solaris, java, afni brik, analyze, cor, dicom, gifti, mgh/mgz, minc, minc2, nifti-1, nrrd, philips par/rec, magnetic resonance |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Debian is related to: Maps4Mipav (Exploratory JIST) is related to: MR Connectome Automated Pipeline is related to: Multi-Modal MRI Reproducibility Resource is related to: TOADS-CRUISE Brain Segmentation Tools is related to: CBS High-Res Brain Processing Tools is related to: JHU Proj. in Applied Medical Imaging is related to: DOTS WM tract segmentation has parent organization: Johns Hopkins University; Maryland; USA has parent organization: Vanderbilt University; Tennessee; USA |
NINDS 5R01NS037747; NINDS 1R01NS056307; NIA N01-AG-4-0012 |
PMID:20077162 | GNU Lesser General Public License | nlx_151344 | https://sources.debian.org/src/jist/ | SCR_008887 | Java Image Science Toolkit | 2026-08-04 09:42:16 | 20 | ||||
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EPILAB Resource Report Resource Website 1+ mentions |
EPILAB (RRID:SCR_009573) | EPILAB | data processing software, software application, software resource | A Matlab-based software package developed for supporting researchers in performing studies on the prediction of epileptic seizures. It provides an intuitive and convenient graphical user interface. Fundamental concepts that are crucial for epileptic seizure prediction studies were implemented.This includes, for example, the development and statistical validation of prediction methodologies in long-term continuous recordings. Seizure prediction is usually based on electroencephalography (EEG) and electrocardiography (ECG) signals. EPILAB is able to process both EEG and ECG data stored in different formats. More than 35 time and frequency domain measures (features) can be extracted based on univariate and multivariate data analysis. These features can be post-processed and used for prediction purposes. The predictions may be conducted based on optimized thresholds or by applying classifications methods such as artificial neural networks, cellular neuronal networks, and support vector machines. | eeg, meg, electrocorticography, seizure, prediction |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: University of Coimbra; Coimbra; Portugal |
Epilepsy | PMID:21763347 | GNU General Public License | nlx_155752 | http://www.nitrc.org/projects/epilab | SCR_009573 | EPILAB Software | 2026-08-04 09:42:24 | 3 | ||||
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MarsBaR region of interest toolbox for SPM Resource Report Resource Website 1000+ mentions |
MarsBaR region of interest toolbox for SPM (RRID:SCR_009605) | MarsBaR | data processing software, software application, software resource, software toolkit | A toolbox for SPM which provides routines for region of interest analysis. Features include region of interest definition, combination of regions of interest with simple algebra, extraction of data for regions with and without SPM preprocessing (scaling, filtering), and statistical analyses of ROI data using the SPM statistics machinery. | analyze, linear, matlab, magnetic resonance, nifti, os independent, regression, statistical operation, region of interest, spm, analysis |
is used by: BetA-Series COrrelation is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: SPM has parent organization: SourceForge |
GNU General Public License | nlx_155806 | http://www.nitrc.org/projects/marsbar | SCR_009605 | MARSeille Boite A Region dInteret, MARSeille Boite a Region dInteret | 2026-08-04 09:42:25 | 1266 |
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