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• ↓ CT (92)
• ↓ Clinical Neuroinformatics (116)
• ↓ Computational Neuroscience (245)
• ↓ Domain Independent (149)
• ↓ ECOG (14)
• ↓ EEG/MEG (179)
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"MRIcroGL allows you to view 2D slices and renderings of your brain imaging data. It can display many image formats and includes a graphical interface for dcm2nii to convert DICOM images to NIfTI format. It allows you to draw regions of interest which can aid lesion mapping and fMRI analysis. It provides sophisticated rendering."

"This repository contains 4 stand-alone pipelines (along with one test dataset), in EEGLAB, Fieldtrip, Brainstorm, and MNE. There is also a link to the HAPPE EEGLAB-based pipeline. The pipelines have been optimized to process event-related potential and are described in the associated manuscript. All pipelines run on the sample data provided although they do require a separate installation of the corresponding software packages. Based on our scanning of the hyperparameter space for artifact rejection and preprocessing, these are the best automated EEG pipelines for EEGLAB, Fieldtrip, Brainstorm, and MNE to process ERP. Test them yourself by plugging in your data."

"BabelBrain is an open-source standalone graphic-user-interface application designed for studies of neuromodulation using transcranial ultrasound stimulation (TUS). It calculates the transmitted acoustic field in the brain tissue, taking into account the distortion effects caused by the skull barrier. The simulation is prepared using scans from magnetic resonance imaging (MRI) and, if available, computed tomography (CT) and zero-echo time MRI scans. It also calculates the thermal effects based on a given ultrasound regime, such as the total duration of exposure, the duty cycle, and acoustic intensity. The tool is designed to work in tandem with neuronavigation and visualization software, such as 3DSlicer. BabelBrain supports multiple GPU backends, including Metal, OpenCL, and CUDA, and works on all major operating systems, including Linux, macOS, and Windows. This tool is particularly optimized for Apple ARM64 systems, which are common in brain imaging research."

"Effect size estimation is crucial for power analysis and experiment deisgn, but poses unique challenges in fMRI research due to the complexity of the data and analysis techniques. Here, we utalized large fMRI datasets to obtain precise univariate and multivariate effect size estimates from "typical" fMRI study designs: brain-behavior correlation, task vs. rest, and between-group analyses of functional connecitivity and task-based activation maps. This is an interactive web application for exploring these effect maps."

Key Topics & Focus Areas for nitrc.org:

CT (92)

Clinical Neuroinformatics (116)

Computational Neuroscience (245)

Domain Independent (149)

ECOG (14)

EEG/MEG (179)