Watch video clips in a task.

Compute connectivity gradients using functional MRI data

MRI preprocessing and analysis pipelines and tools for the study of disorders of consciousness

Repository for Sanchez-Romero, R., Ito, T., Mill, R. D., Hanson, S. J., & Cole, M. W. (2023). "Causally informed activity flow models provide mechanistic insight into network-generated cognitive activations". NeuroImage, 120300. https://doi.org/10.1016/j.neuroimage.2023.120300

Automated processing of single echo (SE), multi-echo (ME) fMRI, ASLBOLD and VBM in SPM12.

Machine Learning Project

Here we share the codes which are helpful to reproduce the figures and tables presented in: 'Insight and Inference for DVARS', Afyouni & Nichols, 2017

CBRAIN plugin for SPARK

The implementation of Representational Similarity Encoding (RSE).

Analysis code supporting original publication

Code for our work with the Amen Clinic related to SPECT imaging.

BIDS App for resting state signal extraction using nilearn.

This repository contains the work of a research group for the event StartUp Research

Make macros for doing seed-based correlation analysis using AFNI with any given set of groups and covariates. Uses AFNI 3dttest++.

An extensible fMRI Preprocessing Pipeline in nipype based on a 2015 Jonathan Power Pipeline

Tools for Singularity- and heudiconv-based BIDSification and anonymization of MRI data optimized for the FIU HPC.

Flywheel gear for modelling language and memory task-fMRI data of presurgical epilepsy patients and calculating hemispheric laterality of functional activity.

Code supporting 'Response-mode decomposition of spatiotemporal hemodynamics'