Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 18 of 18 for “"Computational psychiatry"”.
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Computational Psychiatry - Neuropsychological Bayesian reinforcement learning
… and has become increasingly reliant on computational methods. In particular, theories of learning, operant conditioning and decision making have shown a natural synergy with statistical learning algorithms. This offers a unique opportunity to derive novel insight into the conditioning …
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Motivation as a Common Cognitive Signature of Physical and Mental Health: Bridging Computational Psychiatry, Chronobiology, and Metabolic Health
… by examining two main questions. Firstly, can computational parameters of effort-based decision-making identify individual differences in motivation relevant to transdiagnostic neuropsychiatric symptoms? Secondly, do bodily signals guide motivation via effort-based decision-making, contributing …
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Altered Neural and Behavioral Associability-Based Learning in Posttraumatic Stress Disorder
… of different aspects of behavior, we used a computational psychiatry approach to disambiguate the roles of increased learning from previously surprising outcomes (i.e. associability; Li, Schiller, Schoenbaum, Phelps, & Daw, 2011) and from large value differences (i.e. prediction error; …
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Novel Electrochemical Methods for Human Neurochemistry
Computational psychiatry describes psychological phenomena as abnormalities in biological computations. Current available technologies span multiple organizational and temporal domains, but there remains a knowledge gap with respect to neuromodulator dynamics in humans. Recent efforts by members of …
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Understanding social function in psychiatric illnesses through computational modeling and multiplayer games
… underpinnings. Recently, the rapid growth of computational psychiatry as a new field along with the development of multiplayer economic paradigms provide powerful tools to parameterize complex interpersonal processes and identify quantitative indicators of social impairments. By utilizing …
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Análise de grafos de textos literários: investigação de traços psicóticos
Recent studies in computational psychiatry (Mota et al., 2012, Mota et al., 2014, Mota et al., in preparation) indicate significant structural differences between the speech of psychotic and healthy subjects. Graph analysis of these subjects’ autobiographic reports allows the quantification of …
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The clinical, computational, and neuropharmacological determinants of learning under uncertainty
… through learning under uncertainty paradigms. Computational modelling of participants responses in these paradigms allow researchers to infer the participants estimates of uncertainty. Given that issues with uncertainty underlie a plethora of neurodevelopmental and psychiatric conditions, …
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Flexibility, uncertainty and anxiety in autism
… autism, as well as data-driven and theory-driven computational psychiatry methods. In chapter 2, I perform a systematic review and meta-analysis of cognitive flexibility and demonstrate that autistic people have greater cognitive flexibility difficulties, yet that this profile is characterised by …
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Towards a mechanistic understanding of the neurobiological mechanisms underlying psychosis
… address a long-standing question in the field of computational psychiatry, which is whether prior expectations have a stronger or weaker influence on inference in psychosis. I go on to show that this depends on the origin of the prior expectation and disease stage. That is, cognitive priors are …
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Behavioral Training of Reward Learning Increases Reinforcement Learning Parameters and Decreases Depression Symptoms Across Repeated Sessions
… queries trained participants on one of four computational-based learning targets known to affect reinforcement learning (probability, average or extreme outcome values, and value comparison processes). A reinforcement learning model previously shown to distinguish depression related …
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Behavioral Economics of Persecutory Delusions
… the Minnesota Trust Game, is that 1) a computational model can be developed based on the given parameters of the task to understand beliefs and motivations and 2) it can provide a well-controlled task to examine principles of trust and spite sensitivity in neuroimaging. The goal of this …
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Predictive Processing Alterations in Psychosis Across Illness Stage, Hierarchical Level and Thematic Domain
… did not differ from one another behaviourally or computationally (Chapter 4). FEP participants’ behavioural impairments superficially resembled those demonstrated under ketamine, but what characterized FEP at the computational level was their elevated baseline choice temperature relative to …
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Psychotic experiences beyond psychotic disorders: from measurement to computational mechanisms
… measurement, health implications, aetiology and computational mechanisms of PEs in adolescents and young adults using data from two large cohort samples, supplemented with smaller-scale behavioural studies. I first investigated the measurement of PEs. I assessed and optimised the measurement of …
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Assessing and remediating altered reinforcement learning in depression
… this disorder. In the present set of studies, computational reinforcement learning models and neuroimaging were used to understand how symptom clusters of depression (anhedonia and negative affect) were related to neural and behavioral measures of learning (Study 1, in Paper 1), how these …
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Prenatal influences on fetal neurodevelopment: Can a person-centered approach help parse the complexity of maternal vulnerability and protective features and detect early alterations to fetal neurodevelopment trajectories related to prenatal distress?
Background: Prenatal maternal distress is associated with an at-risk developmental profile, yet there is little fetal evidence of this putative in utero process. Moreover, the biological transmission for these maternal effects remains uncertain. To advance our understanding of developmental …
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The Interaction Between Learning and Effort-Based Decision-Making: Mechanisms, Structural Brain Correlates, and Links to Neuropsychiatric Symptoms
… motivate the thesis, including transdiagnostic, computational/precision psychiatry approaches. Followed by a description of the relevant literature on learning, effort-based decision making and their neural basis. Then, the chapter will outline the transdiagnostic, neuropsychiatric relevance of …