Compute the leading eigenvector dynamics analysis (LEiDA) of a multivariate time series as appearing in computational neuroscience.
LEiDA(X, TR, bp = c(0.01, 0.1), b_ord = 2)a list containing
A \((T,N)\) matrix of the leading eigenvector time series.
A \((T,T)\) matrix of the functional connectivity dynamics (FCD) using cosine similarity.
A \((T,T)\) matrix of the functional connectivity dynamics (FCD) using Pearson correlation.
A \((T,N)\) matrix of multivariate time series data, where \(T\) is the number of time points and \(N\) is the number of ROIs.
Repetition time (in secounds)
Bandpass filter, a vector of length 2 with the lower and upper bounds of the bandpass filter in Hz. Default is c(0.01, 0.10).
Butterworth order, a positive integer. Default is 2.