neuromodes.basis.calc_vec_fc

neuromodes.basis.calc_vec_fc(timeseries: ArrayLike) → NDArray

Compute Fisher-z-transformed vectorized functional connectivity from timeseries data.

Parameters

timeseriesarray-like: The input timeseries data of shape (n_verts, n_timepoints).

Returns

numpy.ndarray: The Fisher-z-transformed vectorized functional connectivity array of shape (n_edges,), where n_edges = n_verts*(n_verts-1)/2.