Search Results for "fmri"
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Showing 33 open source projects for "fmri"
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CBIG
Computational Brain Imaging Group tools
CBIG is a comprehensive toolkit maintained by Thomas Yeo’s Computational Brain Imaging Group containing tools for processing and analyzing neuroimaging data—including fMRI preprocessing pipelines, brain parcellation algorithms, mental disorder subtyping models, fMRI dynamic models, registrations between brain spaces, and phenotypic prediction algorithms. After cloning/downloading this repository, please see README inside setup directory to see instructions on how to set up your local environment to be compatible with our repository. ... -
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TRIBE v2
A multimodal model for brain response prediction
...The system integrates state-of-the-art encoders—including LLaMA for text, V-JEPA for video, and Wav2Vec-BERT for audio—into a unified Transformer architecture. This combined representation is mapped onto the cortical surface to predict fMRI responses across thousands of brain regions. TRIBE v2 allows researchers to simulate and analyze brain activity without requiring direct human experiments. Overall, it provides a powerful tool for studying perception, cognition, and multimodal processing in the brain. -
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MetaTransformer
Meta-Transformer for Unified Multimodal Learning
We're thrilled to present OneLLM, an ensembling Meta-Transformer framework with Multimodal Large Language Models, which performs multimodal joint training, supports more modalities including fMRI, Depth, and Normal Maps, and demonstrates very impressive performances on 25 benchmarks. -
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Spinal Cord fMRI
Collection of functions for the analysis of spinal cord fMRI datasets
Contains a collection of functions for the analysis of spinal fMRI datasets. The scripts are written in BASH and utilize FSL 5.0. -
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CamBA is a Linux package for statistical analysis, by script/GUI, of neuroimaging data (fMRI/sMRI), developed at the Brain Mapping Unit, University of Cambridge. Non-parametric permutation-based statistics. Input images: 4D NiFTI files, output: HTML/
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Matlab toolbox for surface-based voxel selection, intended for fMRI multi-voxel pattern analysis (MVPA) information mapping of the cerebral cortex
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aslm
aslm - a slightly modified asl-module
...Portions of the code rely heavily on (or are copied from) SPM (http://www.fil.ion.ucl.ac.uk/spm), marsbar (http://marsbar.sourceforge.net, Matthew Brett et al.), and GIFT (Group ICA of fMRI Toolbox v.1.3, http://mialab.mrn.org/software/gift/ )which are also released under the GNU public licence. The ASL subtraction-routine is originally from H.Y. Rao & J.J. Wang, @CFN, UPenn Med, 07/2004. -
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METAlab GTG
Matlab toolbox to run a GLM on graph theoretic properties in MRI data
...The toolbox allows testing of both fully connected and thresholded networks (based on a range of thresholds). The toolbox also provides a data processing path for resting state fMRI data. Several options for partialing nuisance signals are available, including local and total white matter signal (Jo et al., 2013), calculation of Saad et al. (2013)'s GCOR, and the use of Chen et al. (2012) GNI method to determine whether global signal partialing is needed. In addition, Power et al. (2014)'s motion scrubbing method is available. -
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The NIDB provides storage, retrieval, and processing of neuroinformatics data. The system is mainly designed for imaging data, such as fMRI and EEG, but data of any type can be associated with a subject through all storage and analysis steps.
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Adaptative thresholding for fMRI
Matlab scripts to perform cluster FDR adaptative thresholding
Matlab plug-in for SPM allowing to obtain a threshold for cluster FDR - the method fits a Gamma-Gaussian mixture model to the SPM-T and finds the optimal threshold (crossing between noise and activation). Optionally write the thresholded maps. -
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The neuroimaging in python (NIPY) project is an environment for the analysis of structural and functional neuroimaging data. It currently has a full system for general linear modeling of functional magnetic resonance imaging (fMRI).
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mfBox
A Matlab toolbox for performing model-free analysis of fMRI data
The mfBox is a Matlab toolbox for performing model-free analysis of multivariate data sets. It also plugs into SPM used for the analysis of multivariate brain recordings such as fMRI, SPECT and PET data sets. This project is looking for a new maintainer! -
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Volumetric file viewer for the human brain. Easy, powerful and flexible fMRI/MRI brain research and clinical neuro-surgery tool. Using state of the art open VTK 3D library, the proven Qt GUI toolkit, coded in Python.
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ptsa (pronounced pizza) stands for Python Time Series Analysis. A python module specifically designed with neural data in mind (EEG, MEG, fMRI, etc...), but applicable to almost any type of time series.
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There is the toolbox of implementing a mehod for consistent group indepent component analysis for functional magnetic resonance imaging.
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An open real-time FMRI package allowing neurofeedback and dynamically adaptive imaging. To download, go to Develop and then use our SVN.
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The R2AGUI converts MRI data from the raw PHILIPS PAR/REC format to the popular ANALYZE 7.5 format or the newer Nifti 1.0 format, which is used in SPM (Software package for fMRI post-processing). It has an easy to use interface, and can batch process man
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BrainFX, a customization of GenericFX for the field for functional Magnetic Resonance Imaging (fMRI). It defines java classes, data hierarchy and data standard for the field of fMRI.
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FMR Eyetrack
SPM Plugin to estimate point of gaze from fMRI data (eyetracking)
FMR Eyetrack is a SPM plugin that allows to directly estimate the point of gaze from the functional MRI data without the help of a dedicated eye tracker. I am no longer working in this field. If anyone wants to pick up this project, please contact me. -
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While resting-state fMRI is drawing more and more attention, there has not been a software for its data analysis. Based on MATLAB, we developed a package named REST. Currently REST has three main functions: function connectivity, ReHo and ALFF.
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CCA-fMRI is a SPM-toolbox (http://www.fil.ion.ucl.ac.uk/spm/) for detecting brain activity pattern using functional magnetic resonance imaging (fMRI) in combination with canonical correlation analysis.
