Mood Variability, Craving, and Substance Use Disorders: From Intrinsic Brain Network Connectivity to Daily Life Experience

Resting‐state effective connectivity is systematically linked to reappraisal success of high‐ and low‐intensity negative emotions

“…In line with compelling evidence that supports the notion that resting-state connectivity might be related to cognitive task activations and forecast brain activity during task execution (Cole et al, 2016(Cole et al, , 2021Smith et al, 2009;Tavor et al, 2016), we hypothesized that changes in effective connectivity at rest in the network of brain regions related to reappraisal would already be predictive for future reappraisal success (Morawetz et al, 2022). Given the absence F I G U R E 1 Overview of key processing steps for predictive analysis of reappraisal success from rs-fMRI spectral DCM parameters from regions parametrically modulated by stimulus intensity.…”

“…One intriguing possibility is that individual differences in emotion regulation capacity are related to the dynamic organization of the emotion‐regulation brain network at rest. Recent research has indeed shown that the strength of the expression of behavioral effects of interest, both in the cognitive and affective domain, was associated with differences in resting‐state effective connectivity (Jamieson et al, 2021 ; Morawetz et al, 2022 ; Voigt et al, 2020 ). These studies have employed spectral dynamic causal modeling (spDCM) to resting‐state functional magnetic resonance imaging (rs‐fMRI) data to identify causal connections between distributed brain areas (Friston et al, 2014 ; Park et al, 2018 ; Razi et al, 2015 , 2017 ) to predict individual differences in the behavioral effects of interest.…”