Investigation on how dynamic effective connectivity patterns encode the fluctuating pain intensity in chronic migraine.

ABSTRACT: Chronic migraine is characterised by persistent headaches for >15 days per month; the intensity of the pain is fluctuating over time. Here, we explored the dynamic interplay of connectivity patterns between regions known to be related to pain processing and their relation to the ongoing dynamic pain experience. We recorded EEG from 80 sessions (20 chronic migraine patients in 4 separate sessions of 25 min). The patients were asked to continuously rate the intensity of their endogenous headache. On different time-windows, a dynamic causal model (DCM) of cross spectral responses was inverted to estimate connectivity strengths. For each patient and session, the evolving dynamics of effective connectivity were related to pain intensities and to pain intensity changes by using a Bayesian linear

SUBMITTER: Bassez I 

PROVIDER: S-EPMC9424568 | biostudies-literature | 2022 Aug-Dec

REPOSITORIES: biostudies-literature