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app-fmri-2-mat

fmriprep outputs to connectivity matrices

brain-structure-function-modelling

Brain structure-function modelling (DTI & fMRI process)

cpm_neuroimage2020

The MATLAB scripts were used in the connectome-based predictive modeling (CPM) analysis. The masks and beta values were generated from the CPM analyses to predict processing speed in older adults.

dartmouthmind_tutorial

Tutorial on resting-state fMRI functional connectivity for the 2017 Dartmouth MIND summer school.

edge-centric_demo

demo code edge-centric functional connectivity (eFC); Faskowitz et al. (2020)

eeg-signal-processing-and-feature-extraction-code

fclab

Functional Connectivity Lab

flexible_cpm

Code for running connectome-based predictive model which includes covariates and returns weights (i.e. regression coefficients) for external validation

hcp-dmri-connectome

MRtrix scripts to generate dense weighted structural connectomes from the Human Connectome Project "minimally pre-processed" diffusion MRI data

hcp_scn_firstbreak

Sample code for analysis detailed in "Modular Architecture and resilience of structural covariance networks in first-episode antipsychotic naive psychoses"

local_scfc

mind

This repository contains a Python implementation of Morphometric INverse Divergence (MIND) calculation for the estimation of structural similarity networks in the brain

morphometric_similarity_sz

Morphometric similarity in psychosis- data and code

ms-gradient

Cortical patterning of morphometric similarity gradient

msn_dbs

Morphometric Similarity Network Code for Deep Brain Stimulation Data

multiatlastt

multi atlas transfer tools for neuroimaging (maTT)

sc_fc_coupling_cognitive_ability

spm-hospital-preproc

A MATLAB toolbox for various preprocessing operations (registration, reslicing, denoising, segmentation, etc.) of neuroimaging data. Builds on the SPM12 software.

structural-covariance-networks

structural_covariance_network_topn

Top-n regions showing disease-related cortical changes covary in cortical thickness as a network.

structuralcovariance

R and Python code for working with structural covariance networks

subparcellation

Subdivides the surface-based Desikan-Killiany atlas into equally sized regions. Please cite: Romero-Garcia R, Atienza M, Clemmensen LH, Cantero JL (2012). Effects of network resolution on topological properties of human neocortex, Neuroimage, 59: 3522-3532

tractography

Code for processing DTI data and performing tractography analyses