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Abram, S. V.

Publications and source records attributed to Abram, S. V..

2 recordsLinked to original sources

Reward processing electrophysiology in schizophrenia: Effects of age and illness phase

BackgroundReward processing abnormalities may underlie characteristic pleasure and motivational impairments in schizophrenia. Some neural measures of reward processing show strong age-related modulation, highlighting the importance of considering age effects on reward sensitivity. We compared event-related potentials (ERPs) reflecting reward anticipation (stimulus-preceding negativity, SPN) and evaluation (reward positivity, RewP; late-positive potential, LPP) across individuals with schizophrenia (SZ) and healthy controls (HC), with an emphasis on examining effects of chronological age, brain age (i.e., predicted age based on neurobiological measures), and illness phase. MethodsSubjects underwent EEG while completing a slot-machine task for which rewards were not dependent on performance accuracy, speed, or other preparatory demands. Slot-machine task EEG responses were compared between 54 SZ and 54 HC individuals, ages 19 to 65. Reward-related ERPs were analyzed with respect to chronological age, categorically-defined illness phase (early; ESZ versus chronic schizophrenia; CSZ), and were used to model brain age relative to chronological age. ResultsIllness phase-focused analyses indicated there were no group differences in average SPN or RewP amplitudes. However, a group x reward outcome interaction revealed that ESZ differed from HC in later outcome processing, reflected by greater LPP responses following loss versus reward (a reversal of the HC pattern). While brain age estimates did not differ among groups, depressive symptoms in SZ were associated with older brain age estimates while controlling for negative symptoms. ConclusionsESZ and CSZ did not differ from HC in reward anticipation or early outcome processing during a cognitively undemanding reward task, highlighting areas of preserved functioning. However, ESZ showed altered later reward outcome evaluation, pointing to selective reward deficits during the early illness phase of schizophrenia. Further, an association between ERP-derived brain age and depressive symptoms in SZ extends prior findings linking depression with reward-related ERP blunting. Taken together, both illness phase and age may impact reward processing in SZ, and brain aging may offer a promising, novel marker of reward dysfunction that warrants further study.

neuroscience↗

Vicarious trial-and-error is enhanced during deliberation in human virtual navigation in a translational neuroeconomic task

Foraging tasks can provide valuable insights into decision-making, as animals choose how to allocate limited resources (such as time). In the "Restaurant Row" task, rodents move between several sites to obtain food rewards available after a variable delay, while in a translational version (the "Web-Surf") lacking the navigation component, humans are offered short videos. Both tasks have provided novel insights into decision-making and have been applied to addiction vulnerability and the impact of drug exposure on decision-making. We tested new tasks (the "Movie Row" and "Candy Row") which use virtual navigation to determine if the behavioral correlates of human decision-making are more broadly similar to those of rodents, and explored the relationship of task performance to smoking and obesity. Humans navigated a virtual maze presented on standard computers to obtain rewards (either short videos or candy) available after a variable delay. Behavior on the tasks replicated previous results for the Restaurant Row and Web-Surf. In conditions promoting deliberation, decision latency was elevated along with measures of vicarious trial-and-error (VTE), supporting VTE as a shared behavioral index of deliberation across species. Smoking status was not well-related to performance, while high BMI (> 25) individuals showed reduced sensitivity to a sunk-costs measure and stronger sensitivity to offer value for offers below the preferred delay. These data support the Movie and Candy Row as translational tools to study decision-making during foraging in humans, providing convergent results with a rodent navigation task and demonstrating the potential to provide novel insights relevant to public health.

neuroscience↗