mmantho's starred repositories
RainCloudPlots
Code and tutorials to visualise your data that is both beautiful *and* statistically valid
freesurfer
Neuroimaging analysis and visualization suite
pycwt
A Python module for continuous wavelet spectral analysis. It includes a collection of routines for wavelet transform and statistical analysis via FFT algorithm. In addition, the module also includes cross-wavelet transforms, wavelet coherence tests and sample scripts.
dartbrains
This repository is a Python package with all of the functions and python libraries required for the Dartmouth fMRI Analysis Course taught by Prof Luke Chang, PhD.
atlasreader
Python interface for generating coordinate tables and region labels from statistical MRI images
biostatmethods
Data and Code for Methods in Biostatistics in R
Dynamic_brain_connectivity_analysis
This repository covers our developed algorithms and techniques for dynamic brain connectivity analysis.
CosanlabToolbox
General Analysis Functions
Dynamic-Brain-Network-Modularity
Temporal Stability of Modular Brain Network Organization - and its Relationship with Individual Differences (e.g., in General Intelligence)
igt-toolbox
Toolbox enabling the model-free and model-based analysis of IGT data
DynamicFunctionalConnectivity
Codes for dynamic functional connectivity on task and resting fMRI.
ExploreDTI_scripts
This repository holds several explanations of ExploreDTI scripts
Node-Parcellation
The code to generate individualize state-specific node-level parcellations. For the original paper, see Salehi et al., "There is no single functional atlas even for a single individual: Parcellation of the human brain is state dependent." bioRxiv 2018.
system-segregation-and-graph-tools
System segregation (see Chan et al. 2014 PNAS) and RSFC brain network tools
fmri.pipeline
R package for running full fMRI GLM analyses in FSL and other software.
Statistical-Analysis-of-fMRI-Data
Tutorial code were given by TA of the course, I just made little modification. The course syllabus can be read here: https://www.coursera.org/account/accomplishments/records/tjPs42aB7stkkvBL
Network-Parcellation-Rest
These set of functions are used to generate the analyses of the paper "An exemplar-based approach to individualized parcellation reveals the need for sex specific functional networks," Salehi et al., NeuroImage 2018
Dynamic_fingerprints
Sample code to reproduce results of the manuscript "When makes you unique: Temporality of the human brain fingerprint" by Van De Ville et al., Science Advances 2021
Analyzing_Neural_Time_Series
python implementations of Analyzing Neural Time Series Textbook
Network-Parcellation-Tasks
These set of functions are used to generate the analyses of the paper "State-specific individualized functional networks form a predictive signature of brain state" Salehi et al., BioRxiv 2018
ndap-fa2018
neuro data analysis in python
nipype_tutorial
Learn Nipype with these tutorial notebooks - go here to see them online -->