Neural Variability and Cognitive Control in Individuals With Opioid Use Disorder.

Importance: Opioid use disorder (OUD) impacts millions of people worldwide. Prior studies investigating its underpinning neural mechanisms have not often considered how brain signals evolve over time, so it remains unclear whether brain dynamics are altered in OUD and have subsequent behavioral implications.

Objective: To characterize brain dynamic alterations and their association with cognitive control in individuals with OUD.

Neural responses to stress and alcohol cues in individuals with pain with and without alcohol use disorder.

Pain and alcohol use disorder (AUD) frequently co-occur, but the underlying neurobiology is not well-understood. Although many studies have reported disruptions in stress and reward cue-elicited neural reactivity and heightened alcohol craving in individuals with AUD, little is known about these constructs among patients who experience pain. Here, individuals with pain (Pain+, n = 31) and without pain (Pain-, n = 37) completed a well-validated functional magnetic resonance imaging (fMRI) paradigm involving stress (S), alcohol (A) and neutral (N) cue exposure with repeated alcohol craving assessments.

Prediction of craving across studies: A commentary on conceptual and methodological considerations when using data-driven methods.

Craving is a central feature of substance use disorders and disorders due to addictive behaviors. Considerable research has investigated neural mechanisms involved in the development and processing of craving. Recently, connectome-based predictive modeling, a data-driven method, has been used in four studies aiming to predict craving related to substance use, addictive behaviors, and food.

Network state dynamics underpin basal craving in a transdiagnostic population.

Emerging fMRI methods quantifying brain dynamics present an opportunity to capture how fluctuations in brain responses give rise to individual variations in affective and motivation states. Although the experience and regulation of affective states affect psychopathology, their underlying time-varying brain responses remain unclear. Here, we present a novel framework to identify network states matched to an affective experience and examine how the dynamic engagement of these network states contributes to this experience.