Brain Connectivity

This package is used for estimating connectivity in several ways.

sekupy.analysis.connectivity.base module

class sekupy.analysis.connectivity.base.Connectivity(name='analyzer', **kwargs)[source]
fit(ds, **kwargs)[source]

Fit the analyzer to the provided dataset.

This method stores information about the dataset and analysis configuration for later use in saving results.

Parameters:
  • ds (Dataset) – The dataset to analyze

  • **kwargs (dict) – Additional parameters for the analysis

Return type:

None

save(path=None)[source]

Basic function for saving information about the analysis. Basically it should be overriden in subclasses.

This implementation creates the folder in which results are stored, following BIDS specification.

Parameters:
  • path (str, optional) –

    The pathname where results are stored, if None is passed it creates the directory

    (the default is None, which [default_description])

  • **kwargs (dict, optional) – Dictionary of keywords used for directory creation.

Returns:

path – The directory created or the path passed as parameter.

Return type:

str

sekupy.analysis.connectivity.meg module

sekupy.analysis.connectivity.multivariate module

sekupy.analysis.connectivity.topology module

sekupy.analysis.connectivity.topology.degree(X)[source]
sekupy.analysis.connectivity.topology.n_triangles(X)[source]

Module contents