TABLE A4.
Method | Short description |
---|---|
Dwell‐time (DT) | Dwell time measures the time (when used in functional connectivity microstates) in which a state is active consecutive temporal segments. (Dimitriadis et al., 2019) |
Flexibility index (FI) |
In the context of graph clustering, flexibility is the frequency of a node change module allegiance, the transition of brain states between consecutive temporal segments. The higher the number of changes, the larger the FI will be. (Bassett et al., 2011) |
Occupancy time (OT) | The fraction of number of distinct symbols occurring in the symbolic time series (Dimitriadis et al., 2019). |
Markov matrix | Markov matrix (also referred to as ‘transition matrix’) is a square matrix that tabulates the observed transition probabilities between symbols for a finite Markov Chain. It is a first‐order descriptor by which the next symbol depends only on the current symbol (and not on the previous ones); a Markov Chain model (Dimitriadis et al., 2019). |
Transition rate (TR) | The total sum of transition between symbols (Dimitriadis et al., 2019). |