ffrprep.analysis.corr_resp_to_resp

ffrprep.analysis.corr_resp_to_resp(resp1, resp2, sfreq)

Compute the correlation between two brain responses.

The function compares two brain responses to each other across various time lags and returns the strongest correlation and lag pair where the strongest correlation is.

Parameters:

• resp1 (array-like) – First brain response signal, should represent a single time-series

• resp2 (array-like) – Second brain response signal, should represent a single time-series

• sfreq (float) – Sampling frequency, used to convert lag values to milliseconds

Returns:

• peak_corr (float) – The highest correlation value between the two responses

• peak_lag (float) – The lag at which the maximum correlation occurs.