Giter Site home page Giter Site logo

greeshma1987 / dyconnmap Goto Github PK

View Code? Open in Web Editor NEW

This project forked from makism/dyconnmap

0.0 0.0 0.0 107.97 MB

A dynamic connectome mapping module in python.

License: BSD 3-Clause "New" or "Revised" License

Shell 0.19% Python 82.57% Jupyter Notebook 17.24%

dyconnmap's Introduction

dyconnmap

A neuroimaging module for dynamic connectome mapping.

build & code

Build Status Coverage Status Codacy Badge

package

PyPI version Anaconda-Server Badge Whenenver a new tag is pushed; a wheel distribution is uploaded on the Test PyPI index. Libraries.io dependency status for latest release
Downloads

release

python-versions Licence Documentation Status

tutorials

Binder

social & updates

RG

dyconnmap (abbreviated from “dynamic connectome mapping”), a neuroimaging python module specifically designed for estimating the dynamic connectivity and analyzing complex brain networks; from neurophysiological data such as electroencephalogram (EEG), magnetoencephalography (MEG) and functional magnetic resonance imaging (fMRI) recordings. It includes numerous submodules to work with, such as chronnectomics and graph-theoretical algorithms, (symbolic) time series and statistical methods.

This is an ongoing effort to develop the module further and extend it by adding more algorithms related to graph analysis and statistical approaches. Considering the increasing acceptance and usage of python in analyzing neuroimaging data, we firmly believe that the module will be a great addition in every practitioner's toolbox engaged in brain connectivity analysis.

Built on NumPy, SciPy, matplotlib and networkx.

Workflow outline

workflow

Publications

Resources

Citation

If you use dyconnmap or dyfunconn in a published work, please consider citing.

1. Marimpis, A. D., Dimitriadis, S. I., & Goebel, R. (2021). Dyconnmap: Dynamic connectome mapping—A neuroimaging python module. Human Brain Mapping, 42( 15), 4909– 4939. https://doi.org/10.1002/hbm.25589
2. Marimpis, A. D., & Dimitriadis, S. I. (2017). dyfunncon: dynamic functional connectivity–a neuroimaging Python module. F1000Research, 6. https://doi.org/10.7490/f1000research.1114652.1

Sponsors

Nov 2017 - Apr 2021 Brain Innovation B.V.
Sept 2017 BRAINTRAIN (Taking imaging into the therapeutic domain: Self-regulation of brain systems for mental disorders) research project (FP7-HEALTH).

dyconnmap's People

Contributors

makism avatar dependabot-preview[bot] avatar wmvanvliet avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.