scholarly journals Relationship of ventral striatum activation during effort discounting to clinical amotivation severity in schizophrenia

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Greer E. Prettyman ◽  
Joseph W. Kable ◽  
Paige Didier ◽  
Sheila Shankar ◽  
Theodore D. Satterthwaite ◽  
...  

AbstractMotivational deficits play a central role in disability due to negative symptoms of schizophrenia (SZ), but limited pathophysiological understanding impedes critically needed therapeutic development. We applied an fMRI Effort Discounting Task (EDT) that quantifies motivation using a neuroeconomic decision-making approach, capturing the degree to which effort requirements produce reductions in the subjective value (SV) of monetary reward. An analyzed sample of 21 individuals with SZ and 23 group-matched controls performed the EDT during fMRI. We hypothesized that ventral striatum (VS) as well as extended brain motivation circuitry would encode SV, integrating reward and effort costs. We also hypothesized that VS hypoactivation during EDT decisions would demonstrate a dimensional relationship with clinical amotivation severity, reflecting greater suppression by effort costs. As hypothesized, VS as well as a broader cortico-limbic network were activated during the EDT and this activation correlated positively with SV. In SZ, activation to task decisions was reduced selectively in VS. Greater VS reductions correlated with more severe clinical amotivation in SZ and across all participants. However, these diagnosis and amotivation effects could not be explained by the response to parametric variation in reward, effort, or model-based SV. Our findings demonstrate that VS hypofunction in schizophrenia is manifested during effort-based decisions and reflects dimensional motivation impairment. Dysfunction of VS impacting effort-based decision-making can provide a target for biomarker development to guide novel efforts to assess and treat disabling amotivation.

2018 ◽  
Vol 115 (22) ◽  
pp. E5233-E5242 ◽  
Author(s):  
Amanda R. Arulpragasam ◽  
Jessica A. Cooper ◽  
Makiah R. Nuutinen ◽  
Michael T. Treadway

We are presented with choices each day about how to invest our effort to achieve our goals. Critically, these decisions must frequently be made under conditions of incomplete information, where either the effort required or possible reward to be gained is uncertain. Such choices therefore require the development of potential value estimates to guide effortful goal-directed behavior. To date, however, the neural mechanisms for this expectation process are unknown. Here, we used computational fMRI during an effort-based decision-making task where trial-wise information about effort costs and reward magnitudes was presented separately over time, thereby allowing us to model distinct effort/reward computations as choice-relevant information unfolded. We found that ventromedial prefrontal cortex (vmPFC) encoded expected subjective value. Further, activity in dorsal anterior cingulate (dACC) and anterior insula (aI) reflected both effort discounting as well as a subjective value prediction error signal derived from trial history. While prior studies have identified these regions as being involved in effort-based decision making, these data demonstrate their specific role in the formation and maintenance of subjective value estimates as relevant information becomes available.


2020 ◽  
Author(s):  
Shosuke Suzuki ◽  
Victoria M. Lawlor ◽  
Jessica A. Cooper ◽  
Amanda R. Arulpragasam ◽  
Michael T. Treadway

AbstractThe ventral striatum is believed to encode the subjective value of cost/benefit options; however, this effect has strikingly been absent during choices that involve physical effort. Prior work in freely-moving animals has revealed opposing striatal signals, with greater response to increasing effort demands and reduced responses to rewards requiring effort. Yet, the relationship between these conflicting signals remains unknown. Using fMRI with a naturalistic, effort-based navigation paradigm, we identified functionally-segregated regions within ventral striatum that separately encoded action, effort, and discounting of rewards by effort. Strikingly, these sub-regions mirrored results from a large-sample connectivity-based parcellation of the striatum. Moreover, individual differences in striatal effort activation and effort discounting signals predicted striatal responses to effort-related choices during an independent fMRI task. Taken together, our results suggest that a dorsomedial region primarily associated with action may instead represent the effort cost of actions, and raises fundamental questions regarding the interpretation of striatal “reward” signals in the context of effort demands.


2020 ◽  
Vol 8 (3) ◽  
pp. 555-568
Author(s):  
Adam J. Culbreth ◽  
Erin K. Moran ◽  
Sri Kandala ◽  
Andrew Westbrook ◽  
Deanna M. Barch

Recent research suggests that schizophrenia is associated with reduced effort allocation. We examined the willingness to expend effort, neural correlates of effort allocation, and the relationship of effort to daily motivational experience in individuals with schizophrenia. We recruited 28 individuals with schizophrenia and 30 control participants to perform an effort task during functional MRI. Individuals with schizophrenia also completed a protocol involving ecological momentary assessment (EMA). Individuals with schizophrenia with severe negative symptoms were less willing to expend effort for rewards. Daily EMAs of motivation were positively associated with effort allocation on a trend level. Individuals with schizophrenia and control participants displayed similar increases in blood-oxygen-level-dependent (BOLD) activation in frontal, cingulate, parietal, and insular regions during effort-based decision making. However, negative symptoms were associated with reduced BOLD activation in the bilateral ventral striatum. These results replicate previous reports of reduced effort allocation in patients with severe negative symptoms and provide evidence for the role of the ventral striatum in effort impairments.


2021 ◽  
Author(s):  
Huw Jarvis ◽  
Isabelle Stevenson ◽  
Amy Q Huynh ◽  
Emily Babbage ◽  
James P. Coxon ◽  
...  

Humans routinely learn the value of actions by assessing their outcomes. Actions also require effort, and increasing evidence suggests that effort and learning share common neurophysiological substrates. Here, we asked whether effort could modulate teaching signals in a reinforcement learning task. Individuals (N=140) registered their choices by exerting predefined levels of physical force. Our key finding was that effort increased the subjective value of an outcome, regardless of whether that outcome was positive or negative. Moreover, across participants, the extent to which effort reinforced learning correlated with effort discounting, suggesting that effort has a greater effect on learning in those who are more averse to investing it. By integrating models of reinforcement learning with neuroeconomic frameworks of value-based decision-making, we show that learning is shaped by both rewards and the effort required to obtain them, thus revealing how effort and learning operate within a common computational framework.


2019 ◽  
Author(s):  
Debbie Marianne Yee ◽  
Sarah L Adams ◽  
Asad Beck ◽  
Todd Samuel Braver

Motivational incentives play an influential role in value-based decision-making and cognitive control. A compelling hypothesis in the literature suggests that the brain integrates the motivational value of diverse incentives (e.g., motivational integration) into a common currency value signal that influences decision-making and behavior. To investigate whether motivational integration processes change during healthy aging, we tested older (N=44) and younger (N=54) adults in an innovative incentive integration task paradigm that establishes dissociable and additive effects of liquid (e.g., juice, neutral, saltwater) and monetary incentives on cognitive task performance. The results reveal that motivational incentives improve cognitive task performance in both older and younger adults, providing novel evidence demonstrating that age-related cognitive control deficits can be ameliorated with sufficient incentive motivation. Additional analyses revealed clear age-related differences in motivational integration. Younger adult task performance was modulated by both monetary and liquid incentives, whereas monetary reward effects were more gradual in older adults and more strongly impacted by trial-by-trial performance feedback. A surprising discovery was that older adults shifted attention from liquid valence toward monetary reward throughout task performance, but younger adults shifted attention from monetary reward toward integrating both monetary reward and liquid valence by the end of the task, suggesting differential strategic utilization of incentives. Together these data suggest that older adults may have impairments in incentive integration, and employ different motivational strategies to improve cognitive task performance. The findings suggest potential candidate neural mechanisms that may serve as the locus of age-related change, providing targets for future cognitive neuroscience investigations.


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