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2020_natcomm_interneurons_cortical_function_schizophrenia

abide

ABIDE Preprocessed Initiative

abide-ii_fba

Scripts to run Single-shell 3-tissue Constrained spherical deconvolution (SS3TCSD) and Fixel-based analysis (FBA) on the ABIDE-II dataset

autism_rsfmri_geneexpressioncorrelations

bhto19_gradientsvariability

Brainhack Global Toronto 2019 Project - Inter-subject variability in Marguliesian Gradientage

bland-altman

bland–altman plot

braincovarianceconnecttoolkitv2.1

BCCTv2.1

brainnetworkanalysis

A collection of code used for overlapping community detection & hub identification. Code written by me is primarily under the rm_func directory.

brainspace

BrainSpace is an open-access toolbox that allows for the identification and analysis of gradients from neuroimaging and connectomics datasets | available in both Python and Matlab |

cbp-dti-toolbox

Toolbox to perform Connectivity Based Parcellation using Diffusion MRI data

cerebellum_gradients

Github repository for cerebellum gradients project

cngopen

Open Scripts and pipelines from the Cognitiveneurogenetics Lab at the Max Planck Institute for Human Cognitive and Brain Sciences and Forschungszentrum Jülich

cobre_multilayer_configuration

Resting State fMRI Based Mulitlayer Network Configuration in Patients with Schizophrenia

cogtrain

Kable Lab Work

congrads

Congrads is a data-driven method for mapping the spatial organisation of connectivity within a pre-defined region-of-interest (i.e. connectopic mapping) and fitting the results with a spatial statisical model that summarises the map in terms of a limited number of trend surface model coefficients.

connectional_hierarchy

Data and codes for our paper "Connectional Hierarchy in Human Brain Revealed by Individual Variability of Functional Network Edges".

consensus

Code to calculate a consensus matrix from a set of distance matrices using k-medoids

cortexwidelowdimensionalspatiotemporaldynamics

Example data and figure generation code for MacDowell and Buschman, Current Biology, 2020.

cortico-amygdalar2019

This repository contains the scripts used to pre-process and analyze the data for the manuscript investigating the relationship between externalizing and internalizing behaviour and the cortico-amygdalar network

crunch_nback_analysis

R package used specifically to read and analyze n-back task data. Includes functions for analysis of subject, group, and running statistics at subject or group level..

cs_dsi

The code used to generate results in the paper titled "Establishing the Validity of Compressed Sensing Diffusion Spectrum Imaging".

development-of-brain-module-dynamics

diagnosing-adhd-with-convlstm

Classifying ADHD fMRI data with a CNN+LSTM Model

docs_neuralmechanisms

Docs For NeuralMechanisms

dprc-analysis

Scripts for analysing DPRC dMRI & fMRI data

dsi-studio-cloud

DSI Studio Cloud is a GitHub repository that uses GitHub's cloud computing resource to analyze diffusion MRI data. It can construct tractography and analyze its diffusion and shape metrics. The code can be extended to accomplish any command line functions provided in DSI Studio.

dti_scripts

scripts for processing dti data

dyn-conn

Dynamic Connectivity pipeline scripts. So far reads in specific fMRI data by subject (exploration phase bold data), and runs it through a pipeline to spit out a binary thresholded node-node adjacency matrix for use in the Dynamic Connectivity Matlab toolbox. [IN THE WORKS]

dynamic-kmeans

dynamicnetworks

Comparing methods for dynamic functional connectivity in brain imaging