dyconnmap

A dynamic connectome mapping module in python.

Science Score: 67.0%

This score indicates how likely this project is to be science-related based on various indicators:

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CITATION.cff file
Found CITATION.cff file
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codemeta.json file
Found codemeta.json file
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.zenodo.json file
Found .zenodo.json file
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DOI references
Found 13 DOI reference(s) in README
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Academic publication links
Links to: researchgate.net, wiley.com
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Committers with academic emails
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Institutional organization owner
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JOSS paper metadata
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Scientific vocabulary similarity
Low similarity (12.4%) to scientific vocabulary

Keywords

clustering connectivity connectome dynamic eeg fc-states fmri functional-connectivity graph-analysis graph-distances graphs meg neuroimaging neuroscience python time-varying

Last synced: 6 months ago · JSON representation ·

Repository

A dynamic connectome mapping module in python.

Basic Info

Host: GitHub
Owner: makism
License: bsd-3-clause
Language: Python
Default Branch: master
Homepage:
Size: 105 MB

Statistics

Stars: 106
Watchers: 8
Forks: 31
Open Issues: 5
Releases: 5

Topics

clustering connectivity connectome dynamic eeg fc-states fmri functional-connectivity graph-analysis graph-distances graphs meg neuroimaging neuroscience python time-varying

Created over 8 years ago · Last pushed over 2 years ago

Metadata Files

Readme Changelog Contributing License Citation

dyconnmap

A neuroimaging module for dynamic connectome mapping.

build & code	[![Build Status](https://travis-ci.org/makism/dyconnmap.svg?branch=master)](https://travis-ci.org/makism/dyconnmap) [![Coverage Status](https://coveralls.io/repos/github/makism/dyconnmap/badge.svg?branch=master)](https://coveralls.io/github/makism/dyconnmap?branch=master) [![Codacy Badge](https://app.codacy.com/project/badge/Grade/10f434822c3a4bdb89dd0bf43f524970)](https://www.codacy.com/gh/makism/dyconnmap/dashboard?utm_source=github.com&utm_medium=referral&utm_content=makism/dyconnmap&utm_campaign=Badge_Grade)
package	[![PyPI version](https://badge.fury.io/py/dyconnmap.svg)](https://badge.fury.io/py/dyconnmap) [![Anaconda-Server Badge](https://anaconda.org/makism/dyconnmap/badges/version.svg)](https://anaconda.org/makism/dyconnmap) ![Whenenver a new tag is pushed; a wheel distribution is uploaded on the Test PyPI index.](https://github.com/makism/dyconnmap/workflows/publish-test-pypi/badge.svg) [![Libraries.io dependency status for latest release](https://img.shields.io/librariesio/release/pypi/dyconnmap)](https://libraries.io/github/makism/dyconnmap) [![Downloads](https://pepy.tech/badge/dyconnmap)](https://pepy.tech/project/dyconnmap)
release	![python-versions](https://img.shields.io/pypi/pyversions/dyconnmap) [![Licence](https://img.shields.io/badge/Licence-BSD-blue.svg)](https://opensource.org/licenses/BSD-3-Clause) [![Documentation Status](https://readthedocs.org/projects/dyconnmap/badge/?version=latest)](https://dyconnmap.readthedocs.io/?badge=latest)
tutorials	[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/makism/dyconnmap/master?filepath=tutorials)
social & updates	[![RG](https://img.shields.io/badge/RG%20Project-Python%20tools%20for%20Brain%20Network%20Analysis-%2300ccbb)](https://www.researchgate.net/project/Python-tools-for-Brain-Network-Analysis)

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

Owner

Name: Avraam "Makis" Marimpis
Login: makism
Kind: user
Location: Berlin, Germany

Website: func.so
Repositories: 64
Profile: https://github.com/makism

code is law.

Citation (CITATION.cff)

cff-version: 1.2.0
title: >-
  Dyconnmap: Dynamic connectome mapping—A
  neuroimaging python module
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Avraam
    email: avraam.marimpis@maastrichtuniversity.nl
    orcid: 'https://orcid.org/0000-0003-1551-9940'
    family-names: Marimpis
  - orcid: 'https://orcid.org/0000-0002-0000-5392'
    given-names: Stavros
    family-names: Dimitriadis
  - given-names: Rainer
    family-names: Goebel
    orcid: 'https://orcid.org/0000-0003-1780-2467'

GitHub Events

Total

Watch event: 5

Last Year

Watch event: 5

Committers

Last synced: 11 months ago

All Time

Total Commits: 578
Total Committers: 4
Avg Commits per committer: 144.5
Development Distribution Score (DDS): 0.054

Past Year

Commits: 0
Committers: 0
Avg Commits per committer: 0.0
Development Distribution Score (DDS): 0.0

Top Committers

Name	Email	Commits
makis marimpis	m**m@g**m	547
dependabot-preview[bot]	2****]	27
Marijn van Vliet	w**t@g**m	2
Avraam Marimpis	m**s@b**m	2

Committer Domains (Top 20 + Academic)

brainvoyager.com: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time

Total issues: 16
Total pull requests: 86
Average time to close issues: 5 months
Average time to close pull requests: about 1 month
Total issue authors: 12
Total pull request authors: 5
Average comments per issue: 1.88
Average comments per pull request: 2.41
Merged pull requests: 37
Bot issues: 0
Bot pull requests: 74

Past Year

Issues: 0
Pull requests: 0
Average time to close issues: N/A
Average time to close pull requests: N/A
Issue authors: 0
Pull request authors: 0
Average comments per issue: 0
Average comments per pull request: 0
Merged pull requests: 0
Bot issues: 0
Bot pull requests: 0

View more stats

Top Authors

Issue Authors

makism (3)
danielegrattarola (2)
wmvanvliet (2)
Baby-Baby (1)
devmessias (1)
akatav (1)
damienstanton (1)
vincent5290 (1)
JoffJones (1)
balandongiv (1)
Saqibm128 (1)
albertleemon (1)

Pull Request Authors

dependabot-preview[bot] (60)
dependabot[bot] (14)
makism (10)
Saqibm128 (1)
wmvanvliet (1)

Top Labels

Issue Labels

invalid (2) docs (1) enhancement (1) feature-request (1)

Pull Request Labels

dependencies (74) merge-ready (4)

Packages

Total packages: 1
Total downloads:
- pypi 10 last-month

Total dependent packages: 0
Total dependent repositories: 1
Total versions: 4
Total maintainers: 1

pypi.org: dyconnmap

A dynamic connectome mapping module in Python

Homepage: https://github.com/makism/dyconnmap
Documentation: https://dyconnmap.readthedocs.io/
License: BSD
Latest release: 1.0.4
published almost 5 years ago

Versions: 4
Dependent Packages: 0
Dependent Repositories: 1
Downloads: 10 Last month

Rankings

Forks count: 7.1%

Stargazers count: 7.3%

Dependent packages count: 10.1%

Average: 15.3%

Dependent repos count: 21.6%

Downloads: 30.6%

Maintainers (1)

makism

Last synced: 6 months ago

Dependencies

environment.yml conda

jupyterlab
pip
pyedflib 0.1.14
python 3.6.*
tqdm

package.json npm

codacy-coverage development
codecov development
coverage development
nose ^1.3.7 development
python-coveralls development
bctpy ^0.5.0
matplotlib ^2.0.2
networkx ^2.0
numpy ^1.13.1
scikit-learn ^0.19.0
scipy ^0.19.1
statsmodels ^0.8.0

requirements.txt pypi

Sphinx >=3.0.4
bctpy >=0.5.0
codacy-coverage *
codecov *
coverage *
coveralls *
data-science-types *
matplotlib >=3.3.0
mypy *
networkx >=2.5
numpy >=1.19.0
pytest *
pytest-cov *
scikit-learn >=0.24.0
scipy >=1.6.0
scipy ==1.5.2
sphinx-rtd-theme ==0.5.1
statsmodels >=0.12.0
tox *
tox-conda *

setup.py pypi

bctpy *
matplotlib *
networkx *
numpy *
scikit-learn *
scipy *
statsmodels *

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

Science Score: 67.0%

Keywords

Repository

Basic Info

Statistics

Topics

Metadata Files

README.md

dyconnmap

Workflow outline

Publications

Resources

Citation

Sponsors

Owner

Citation (CITATION.cff)

GitHub Events

Total

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All Time

Past Year

Top Committers

Committer Domains (Top 20 + Academic)

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Past Year

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Issue Labels

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Packages

pypi.org: dyconnmap

Rankings

Maintainers (1)

Dependencies