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Arts & Sciences Electronic Theses and Dissertations

Schizophrenia

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Full-Text Articles in Psychology

Social And Non-Social Pleasure In Schizophrenia: Associations With Negative Symptoms And Depression, Jaisal Merchant Jan 2021

Social And Non-Social Pleasure In Schizophrenia: Associations With Negative Symptoms And Depression, Jaisal Merchant

Arts & Sciences Electronic Theses and Dissertations

Individuals with schizophrenia can experience both negative and depressive symptoms, which may differentially relate to hedonic experience. Additionally, it is unclear whether these symptoms relate to social pleasure in the same way as overall pleasure. This study used Ecological Momentary Assessment in schizophrenia to investigate the unique relationships of negative and depressive symptoms to anticipatory and consummatory pleasure overall, and when split into social and non-social instances. Depressive symptoms negatively related to both anticipatory and consummatory pleasure, while negative symptoms negatively related to anticipatory but not consummatory pleasure. Although negative symptoms negatively related to both anticipatory and consummatory non-social pleasure, …


Effort, Avolition And Motivational Experience In Schizophrenia: Analysis Of Behavioral And Neuroimaging Data With Relationships To Daily Motivational Experience, Adam Culbreth Aug 2019

Effort, Avolition And Motivational Experience In Schizophrenia: Analysis Of Behavioral And Neuroimaging Data With Relationships To Daily Motivational Experience, Adam Culbreth

Arts & Sciences Electronic Theses and Dissertations

Recent research has suggested an association between motivational impairment in those with schizophrenia and reduced willingness to expend effort on experimental tasks. However, few studies have examined the neural correlates of effort-based decision-making in those with schizophrenia. In the current study, we aimed to examine willingness to expend effort, the associated neural circuitry of effort-based decision-making, and the impact of experimentally-defined effort-based decision-making on daily motivational experience in schizophrenia. We recruited 28 individuals with schizophrenia and 30 healthy controls to perform an effort-based decision-making task while undergoing fMRI scanning. In order to assess whether willingness to expend effort was associated …


Effort, Avolition And Motivational Experience In Schizophrenia: Analysis Of Behavioral And Neuroimaging Data With Relationships To Daily Motivational Experience, Adam Culbreth Aug 2019

Effort, Avolition And Motivational Experience In Schizophrenia: Analysis Of Behavioral And Neuroimaging Data With Relationships To Daily Motivational Experience, Adam Culbreth

Arts & Sciences Electronic Theses and Dissertations

Recent research has suggested an association between motivational impairment in those with schizophrenia and reduced willingness to expend effort on experimental tasks. However, few studies have examined the neural correlates of effort-based decision-making in those with schizophrenia. In the current study, we aimed to examine willingness to expend effort, the associated neural circuitry of effort-based decision-making, and the impact of experimentally-defined effort-based decision-making on daily motivational experience in schizophrenia. We recruited 28 individuals with schizophrenia and 30 healthy controls to perform an effort-based decision-making task while undergoing fMRI scanning. In order to assess whether willingness to expend effort was associated …


Breaking Apart The Reinforcement Learning Deficit In Schizophrenia, Adam Culbreth Aug 2015

Breaking Apart The Reinforcement Learning Deficit In Schizophrenia, Adam Culbreth

Arts & Sciences Electronic Theses and Dissertations

Reinforcement learning deficits have long been associated with schizophrenia. However, tasks traditionally used to assess these deficits often rely on multiple processing streams leaving the etiology of these task deficits unclear. In the current study, we borrowed a recent framework from computational neuroscience, which separates reinforcement-learning into two distinct systems, model-based and model-free. Under this framework, the model-free system learns about the value of actions in the immediate context, while the model-based system learns about the value of actions in both immediate and subsequent states that may be encountered as a result of their actions. Using a decision task that …