Melbourne School of Psychological Sciences - Theses
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ItemCreativity in writers : investigating the role of personality and emotional intelligence(University of Melbourne, 2007)
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ItemGrassroots perspectives on peace in Sri Lanka(University of Melbourne, 2007)
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ItemChromatic contrast sensitivity functions measured using optokinetic nystagmus and psychophysics( 2020)Optokinetic nystagmus (OKN) is a sequence of involuntary eye movements comprising slow phases of tracking a moving stimulus followed by fast saccades to reset the eye position. Although previous studies have studied the relationship between human OKN and functional vision via measurement of the contrast-sensitivity function (CSF), it has not been investigated using colour-varying, red-green, equiluminant patterns. In human vision, spatiotemporal changes in luminance convey a stronger sense of motion than do equiluminant patterns; yet, motion can nevertheless be perceived without luminance cues. The present study used spatial-frequency, band-pass luminance and red-green equiluminant noise patterns to measure OKN, and thus characterise the chromatic input to the mechanisms that drive the optokinetic response. The CSFs of 21 observers with normal vision were recorded using OKN and perceptual report. The results of the study demonstrate that an equiluminant red green stimulus can evoke a robust OKN response. There was a high correlation between OKN and perceptual report, for both luminance and colour stimuli, an indication of a common neural mechanism for defining stimulus direction. In all stimulus conditions tested, OKN can deliver a valid alternate technique for measuring the CSF.
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ItemIntelligence analysis in multidisciplinary teams - affordances of the collaborative online SWARM platform for public service and education application( 2020)Intelligence analysts from Australian Commonwealth, State and Territory Government agencies and departments regularly work in teams with other roles, referred to in this research as multidisciplinary teams (MDTs). MDTs operate within a ‘framework’, which provides the central mechanism for team coordination and structure. However, there is little available research on intelligence MDT frameworks including challenges. To address this gap and explore potential MDT frameworks, this thesis examines intelligence MDTs and the Hunt Lab’s collaborative software prototype SWARM Platform as a framework to support the functions of intelligence MDTs. The Hunt Lab developed the Platform in 2017 to improve collaboration and quality of reasoning of intelligence analysts. We investigated whether the Platform can move beyond its origins to provide a framework to support the business and training functions of intelligence MDTs, including affordances for managers and educators. As a first step, we developed a maturity model, informed by the intelligence teamwork literature for the purposes of defining and evaluating the key indicators of intelligence MDTs. We detail the development of our maturity model that contains seven pillars against which MDT performance could be evaluated: Mission, Accountability, Agility, Efficiency, Communication, Collaboration and Output. This maturity model formed the central coding mechanism for this research to evaluate MDT performance. We conducted three studies to address our research questions focusing on current MDT workplace application and whether the Platform supports business and training MDT framework functions. Study 1 applied the maturity model to a case study of intelligence MDT performance in the Australian Government, where we identified Mission and Collaboration as a strength but Efficiency as a weakness of their MDT framework. In Studies 2 and 3, we evaluated the Platform as a potential framework to support the business and training functions of intelligence MDTs, first in a small-scale pilot within an Australian Government workplace and then on a larger scale in an analytical competition involving public and intelligence organisation teams. In these two studies, we found the Platform mostly supported key MDT pillars but also identified varying weaknesses across pillars of Accountability, Efficiency and Communication. Despite the Platform’s broad support for the MDT maturity pillars, this research identified technical and cultural issues that prevent adoption of the Platform as a business framework without further prioritised research. Instead, our research indicates the Platform has more immediate benefits in supporting training functions as a computer-supported collaborative learning (CSCL) tool, where research participants reported both cognitive and social learning outcomes in the same studies. This research developed insights relevant to MDT frameworks more broadly including scaffolding strategies to improve multiple maturity model pillars. These strategies include teamwork schema development; launch meetings; accountability practices; and data management. We also developed insights into engaging and researching government with intelligence functions that are an emergent but not unforeseen result from this research. These findings have implications for future collaboration between the tertiary research sector and government with intelligence functions.
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ItemThe Impact of Comorbidities and Expectations on Functional Neurological Disorder Symptoms (FND)( 2020)Functional Neurological Disorder (FND) is a condition that encompasses a wide spectrum of neurological symptoms that do not have an organic explanation. It is not clear why some patients develop a specific neurological symptom. In our study we considered the most frequent FND sub-types: functional motor disorders (FMD) and non-epileptic seizures (NES). It has been purported that individuals with risk factors, create strong expectations about body sensations based on clinical experiences such as disease, injury or surgery. These expectations would impact the nervous system which in turn lead to functional symptoms. These symptoms are inconsistent in frequency and evolution across time, and they are vulnerable to suggestion. Thus, there are no objective measures that can account for the symptoms. This thesis aims to determine whether previous clinical factors affecting different parts of the body have a relationship with the development of functional motor disorder (FMD) and non-epileptic seizures (NES), and to carry out a preliminary study of a measure capable of identifying perceptual differences in patients with functional weakness, the most reported symptom. In the first study we analysed the medical records of 108 FND patients (52 FMD and 56 NES), and in the second study we applied the Size-Weight Illusion (SWI) to 11 FND patients with functional weakness and 15 healthy controls (HC). It was found that patients with motor symptoms (FMD) had significantly higher rates of clinical factors that affected their limbs prior to the symptom onset than NES. Moreover, contrary to predicted, patients with NES had a similar rate of events that affected their head than FMD. However, NES had a higher rate of clinical factors during their lifetime than FMD, such as dissociative symptoms, suicidal ideation, and being victim of bullying, which affect the mind, and from the patients’ perspective they can be considered as located in the head. In the second study, FND and HC experienced a similar size-weight illusion. The severity and laterality of the symptom did not impact on the strength of the illusion, nor the dominance of the affected side. However, we propose that it is likely to find an effect in FND with a larger sample size. Otherwise, if similar results were found in future studies, the SWI might be a test that provides an objective assessment to confirm FND has a normal perception of weight relative to size.
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ItemUsing long-wear electroencephalography to ascertain the variability of Lempel-Ziv Complexity (LZc) measures of consciousness( 2019)It has been recently claimed that measures of spontaneous electroencephalography (EEG) signal complexity, such as Lempel-Ziv Complexity (LZc), can provide an index of an individual’s level of consciousness. Research and clinical practice are currently limited to unreliable behavioural and physiological measures to indicate consciousness. Therefore, there is significant urgency for an objective, reliable, brain-based measure of consciousness. EEG complexity measures utilise algorithms from Information Theory to quantify the diversity in spontaneous EEG data. These are being used to measure the diverse neural activity which necessarily underlies conscious experience. LZc assesses the complexity of multi-channel EEG data using a compression algorithm. Studies of LZc typically involve comparing conditions of altered consciousness with periods of conscious wakefulness. These studies suggest that the change in complexity observed is reflective of the change in level of consciousness. However, very little is known about how LZc varies, either with or without a corresponding change in consciousness. The present study utilised portable long-wear EEG to record multi-day, continuous EEG data from two participants (a total of 8 days for Participant 1 and 4 days for Participant 2). Data from each participant was analysed independently. A LZc algorithm was used to compute a complexity value for every non-overlapping 10-second segment. Results demonstrated that, as with previous research, LZc during Wake (14-hours during the day, multiple days per participant) is, on average, higher than during sleep (Stage N1, Stage N2, Slow-Wave-Sleep, and REM sleep). However, there is considerable variation surrounding these means. Visualising LZc across Wake revealed a consistent but wide spread of variability around the mean, with a scattering of low LZc values reflected by a negative skew in the data. This also results in a wide range of possible mean LZc values made available from taking samples (between 1 and 120 minutes in duration) during this period. Although this variability reduces with larger samples sizes, even day-to-day, LZc can significantly differ within a person. Regardless of the source of this variability, its presence causes concern due to the overarching clinical motivations and potential practical applications of this measure. These results suggest that LZc may not be indicative of level of consciousness, as previously claimed. The issues raised and addressed in this study are not unique to LZc, but will apply to all complexity algorithms, current and future. With this study, we have shown that long-duration EEG is a successful framework for identifying variability in a complexity measure of consciousness. This information-rich dataset is uniquely capable of exposing and investigating complexity measures, with the additional insight of observing and analysing complexity across time. This study endeavours to redirect discussions of this field and promote the use of this framework to both acknowledge and empirically address all surrounding issues and assumptions. All complexity measures should undergo reliability testing as both a proof of concept and a proof of practice before being utilised in research or clinical applications.
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ItemUsing single subject manual independent component analysis on resting-state fMRI data( 2019)It is important to understand the influence of common artefacts when processing fMRI data, and how best to remove these in order to produce reliable outcomes. This information affects clinicians and researchers. Little is known about functional connectivity in people with genetic generalised epilepsy at present, making it an ideal cohort to examine while using a quality data processing pipeline. The present thesis discusses individual artefactual contribution, and how to deal with artefact using single subject manual independent component analysis (SSM-ICA). A systematic review of the literature (Chapter two) found people with genetic generalised epilepsy to have reduced functional connectivity in the default mode and attention networks relative to healthy controls. A methods study (Chapter three) investigated functional connectivity in juvenile absence epilepsy, a subtype of genetic generalised epilepsy. Results showed reduced connectivity strength relative to controls. Further, incremental removal of artefacts using single subject manual independent component analysis showed fewer correlations breaching the .05 threshold. These areas were more confined to default mode and attention networks, suggesting most correlations derived without the use of SSM-ICA are spurious. Signal-to-noise ratios were also significantly higher in both incremental cleaning conditions.
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ItemEarly maladaptive schemas associated with performance anxiety aetiology and phenomenology in classically-trained musicians( 2018)Music performance anxiety (MPA) is widespread amongst performing musicians, although research into developmental factors involved in its manifestation is minimal. The aim of this research was to explore the impact of childhood experiences with parents along with patterns of dysfunctional cognitive schemas that develop through childhood (‘Early Maladaptive Schemas’; EMSs) on the manifestation and severity of MPA in adulthood. Study 1 investigated the relationship between EMSs and MPA through online surveys. Study 2 then expanded on Study 1 by exploring childhood parenting experiences associated with the development of both EMSs and MPA through qualitative interviews. Study 1 employed 100 adult professional, amateur, and student classical musicians from across Australia (recruited via email and social media). Participants completed the Young Schema Questionnaire (Young, 2005) and the Kenny Music Performance Anxiety Inventory (Kenny, 2011). Factor analysis revealed four higher-order EMS factors, one of which was a significant predictor of MPA. This factor (entitled ‘Inadequacy/Impaired Autonomy’) comprised themes of failure, catastrophising, and incompetence/dependence. Study 2 included eight participants from Study 1, five of whom scored one standard deviation or more above the mean K-MPAI score and three of whom scored one standard deviation or more below the mean K-MPAI score. Participants were interviewed about experiences of parenting during childhood and adolescence, along with their experiences of MPA and musical training. Interpretative phenomenological analysis was used to explore themes in the interview data, which revealed three key parenting styles related to the development of MPA: Poor Parental Involvement and Availability, Unpredictable Parental Mood and Anger, and Parental Expectations and Overcontrol. Findings from both studies are discussed in light of clinical applications and interventions, and implications for both parents and music educators.
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ItemA psychometric evaluation of the Temporal Experience of Pleasure Scales (TEPS)( 2014)A number of hypotheses for behaviour are built on the principle of “hedonic motivation”, the assumption that people are always motivated towards rewards that affords them with the greatest amount of pleasure. Current neurobiological studies have demonstrated that reward-motivational processes and hedonic processes are mediated by independent systems (Dillon et al., 2008). Salient rewards activate the production and attribution of incentive salience by the mesocorticolimbic dopaminergic system, which promotes reward-motivation or ‘wanting’ towards preferred rewards (Berridge, Robinson, & Aldridge, 2009). The attainment of rewards is marked by the experience of pleasure or ‘liking’, which is mediated by the attribution of hedonic gloss to this event by the forebrain opioidergic system (Pecina, Cagniard, Berridge, Aldridge, & Zhuang, 2003). The Incentive Salience Theory (IST) argues against the hedonic principle, maintaining that these two reward-related processes are dissociated, such that the loss or increase in reward ‘liking’ does not affect reward ‘wanting’, and vice-versa (Robinson & Berridge, 2001). The Temporal Experience of Pleasure Scales (TEPS; Gard, Gard, Kring, John, 2006) is the first self-report questionnaire that is designed to assess individual differences in the ability to experience dopaminergic-mediated anticipatory pleasure and opioidergic-mediated consummatory pleasure. However, the psychometric structure of the TEPS has not been fully evaluated, providing the goal of the current study to conduct a psychometric analysis consisting of a factor analysis and construct validation by a convergent-discriminant analysis. While the formation of two distinct subscales in the scale construction study and demonstrating predictive validity with schizophrenia (Gard, Kring, Gard, Horan, & Green, 2007), the two scales lacked clear dissociation and its relationship with schizophrenia has not been consistently observed (Strauss, Wilbur, Warren, August, & Gold, 2011). Two hundred and ninety-two university students in Australia (212 females, 80 males, Mage = 20.19 years, SD = 4.24, age range: 18-53) and 292 university students in the United Kingdom (226 females, 66males, Mage =20.96 years, SD = 4.72, age range: 18-44) completed the TEPS, which required the participant to report the amount of anticipation (anticipatory subscale) or in-the-moment pleasure (consummatory subscale) they would experience in response to hypothetical rewarding experiences. The Australian participants also completed a battery of conceptually-related self-report questionnaires. Given past lack of support, it was not surprising that the two-factor model of the TEPS was unsupported by the current factor analysis. On a similar note, construct validity was unsupported as the lack of discriminant validity with measures of reward-motivation and positive emotionality meant that the two subscales cannot be assumed to be dissociated measures of ‘wanting’ and ‘liking’. In light of these findings, it might be suggested that the assessment of these two reward-related processes by hypothetical self-report is difficult as humans may not be able to think of something pleasurable without also desiring it, and vice-versa (Berridge, 2007). Further limitations of self-reports include the fallibility of autobiographic memory and of affective forecasting (Wilson & Gilbert, 2005). Future studies should consider alternative assessment methods of ‘wanting’ and ‘liking’ that are less reliant on affective forecasting, such as ambulatory affective state assessments and implicit indexes whereas behavioural indexes are highly recommended for their proximity to reality and minimal reliance on conscious deliberation.