conpy.connectivity.VertexConnectivity#

class conpy.connectivity.VertexConnectivity(data, pairs, vertices, vertex_degree=None, subject=None, directed=False)[source]#

Estimation of connectivity between vertices.

Parameters:

datandarray, shape (n_pairs,): For each connectivity source pair, a value describing the connection. For example, this can be the strength of the connection between the sources.
pairsndarray, shape (n_pairs, 2): The vertices involved in the from-to connectivity pair. The vertices are listed as “vertex indices” in the array:

np.hstack((vertices[0], (vertices[1] + len(vertices[0]))))
verticeslist of two arrays of shape (n_vertices,): For each hemisphere, the vertex numbers of sources defined in the corresponding source space.
vertex_degreetuple of lists (out_degree, in_degree) | None: For each vertex, the total number of possible connections from and to the vertex. This information is needed to perform weighting on the number of connections during visualization and statistics. If None, it is assumed that all possible connections are defined in the pairs parameter and the out- and in-degree of each vertex is computed.
subjectstr | None: The subject-id.
directedbool: Whether the connectivity is directed (from->to != to->from). Defaults to False.

Attributes:

n_connectionsint: The number of connections.
n_sourcesint: The number of sources between possible connections were computed.