Psychiatry - Theses
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ItemThe Brain-Behavioural Basis of Human Safety Learning: An investigation of Pavlovian conditioned inhibition( 2022)Safety learning allows individuals to associate stimuli with the absence of threat, thus conferring the ability to suppress fear and anxiety in safe situations, and by consequence, maintain psychological and physiological well-being. Disrupted safety learning is thought to be a key component of anxiety-related disorders, but as yet, the basic mechanisms of safety learning remain incompletely understood and lack a formal theoretical definition. Across two studies of healthy adults, this thesis sought to examine the behavioural (Study 1) and neural (Study 2) basis of safety learning in humans. Based on long-standing principles of associative learning theory, a novel iteration of the Pavlovian conditioned inhibition paradigm was developed and implemented in lab-based and 7-Tesla functional magnetic resonance imaging (fMRI) settings. Study 1 (N = 73) was an investigation of the behavioural aspects of safety learning, and moreover, sought to validate the utility of the Pavlovian conditioned inhibition paradigm as an experimental model for safety learning, as well as examining individual differences in trait measures of anxiety. This paradigm trained a robust safety signal (the conditioned inhibitor, X) which was conditioned by delivering threat (loud noise) to a conditioned stimulus on its own (A+), but omitting threat when that stimulus was presented in conjunction with the inhibitor (AX-). As a control cue, two stimuli were similarly unreinforced in compound, but neither was presented alone on other trials (BC-). The paradigm also controlled for several possible confounds, including the use of a safety signal as a control cue, rather than using a novel or neutral cue, among other factors. Both the control safety signal and the conditioned inhibitor were shown to inhibit physiological and cognitive threat responses at test, when paired with aversive conditioned stimuli. However, the inhibitor conferred a significantly greater degree of inhibition for cognitive threat responses, as measured by threat-expectancy ratings during a summation test. Further, trait anxiety was positively correlated with threat expectancy towards the inhibitor during learning, indicative of threat responses to safety signals, which are thought be a feature of maladaptive anxiety. Study 2 (N = 49) investigated the functional neural correlates of safety learning via conditioned inhibition. The same paradigm from Study 1 was adapted for use in neuroimaging, using ultra-high field fMRI. Activations were compared between the safety signals directly (AX vs BC), and learning-specific activation was assessed via contrasts between early and late conditioning trials, and conditioning phase activity versus test phase, under the hypothesis that this should identify regions recruited to form stimulus-safety associations when these contingencies are new and unfamiliar. It was found that conditioned inhibition involved activity across a distinct set of cortico-striatal regions, which aligned with known subcortical circuits of the basal ganglia. Further, though showing similar behavioural responses to the inhibitor, the standard safety signal evoked no subcortical engagement, and instead was associated with an expanse of cortical activity, consistent with regions observed in differential fear-safety processing. In total, these studies indicate that the framework of Pavlovian conditioned inhibition can serve as an experimental model for characterising safety learning in humans, with implications for clinical translational work. It suggests that robust safety learning occurs by way of expectancy violation, or in other words, that a stimulus acquires safety value by predicting the unexpected omission of threat, in line with the principles of formal learning theory. Further, though current human studies often emphasise the safety-learning roles of various higher prefrontal regions, Study 2 demonstrates that safety learn- ing engages several subcortical brain regions that are well-known for their involvement in other domains of reinforcement learning. I discuss the theoretical implications that this research has for defining safety through the lens of associative learning, the neurobiology of safety acquisition, and a basis for separating processes of safety acquisition and safety expression between associative subcortical systems and higher cortical brain regions respectively. Several future directions are proposed for the ongoing study of safety learning, including characterisation of safety prediction errors and testing hypotheses of deficient safety learning in psychiatric disorders.
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ItemEffective connectivity in major depressive disorder and its association with treatment response: a functional magnetic resonance imaging investigation( 2021)Despite effective first-line treatments for major depressive disorder (MDD), prognostic outcomes for many young people remain poor. Recent investigations into the interactions between brain regions, both at rest and during specific tasks, appear to suggest that abnormalities in these connections may contribute to the manifestation of depressive symptoms. An improved characterisation of brain associated dysfunction in MDD may elucidate contributing factors to this heterogeneity in treatment response. This thesis used functional magnetic resonance imaging and dynamic causal modelling across three studies to characterise abnormalities in the directional interactions between brain regions. Due to the lack of research examining how different emotional expressions modulate these directional interactions, Study 1 aimed to explore changes to effective connectivity present during the implicit processing of negatively valenced emotional expressions in a sample of healthy adolescents and young adults (N = 92, Mean age = 20.1 +/- 2.9 years). Processing sad and fearful facial expressions were associated with greater positive connectivity from the amygdala to dorsolateral prefrontal cortex (dlPFC). Compared with processing sad faces, processing fearful faces was associated with significantly greater connectivity from the amygdala to dlPFC. Study 2 aimed to examine whether there were differences in effective connectivity between MDD patients and healthy controls during the processing of facial expressions. The healthy controls from Study 1 were compared with a sample of MDD patients (N = 88, Mean age = 19.8 +/- 2.7 years). Following their scan, these patients were randomised to receive cognitive behavioural therapy for 12 weeks, plus either fluoxetine or placebo. Depressed patients demonstrated reduced inhibition from the dlPFC to ventromedial prefrontal cortex (vmPFC) and reduced excitation from the dlPFC to amygdala during sad expression processing. During fearful expression processing patients showed reduced inhibition from the vmPFC to amygdala and reduced excitation from the amygdala to dlPFC. Treatment responders demonstrated greater excitation from the amygdala to dlPFC during sad expression processing and reduced excitation from the amygdala to vmPFC connectivity during fearful expression processing. Finally, Study 3 aimed to examine differences in the effective connectivity at rest between regions commonly implicated in the neurobiology of depression, using the healthy controls (N = 90; Mean age = 20.1 +/- 2.7) and MDD patients (N = 94; Mean age = 19.7 +/- 2.8) from Study 2. Depressed patients demonstrated greater inhibitory connectivity from the rostral anterior cingulate (rACC) to the dlPFC, anterior insular cortex, dorsal anterior cingulate (dACC) and left amygdala. Moreover, treatment responders illustrated greater inhibitory connectivity from the rACC to dACC, greater excitatory connectivity from the dACC to subgenual anterior cingulate (sgACC) and reduced inhibitory connectivity from the sgACC to amygdalae at baseline. Together the findings from these studies detail widespread but distinct alterations associated with MDD which occur at rest and during the implicit processing of sad and fearful facial expressions. These results commonly suggest that MDD is marked by abnormal interactions between regions of the salience, central executive and default mode networks. Across both of our tasks, treatment responders did not demonstrate connectivity which was more similar to healthy controls, but rather illustrated unique alterations that may have predicated their enhanced treatment response. Moreover, while these parameters were shown to be overall predictive of treatment response, in both tasks this was particularly strong for those treated with CBT and placebo. We suggest that this effect may be due to treatment with selective serotonin reuptake inhibitors altering connectivity variability in such a way that this baseline configuration is less informative of future response.