Melbourne School of Psychological Sciences - Research Publications

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    Regulating emotions about secrets.
    Bianchi, V ; Greenaway, KH ; Slepian, ML ; Kalokerinos, EK (American Psychological Association (APA), 2024-03-21)
    Secrecy is common and psychologically costly. Research shows that secrets have high emotional stakes, but no research has directly tested how people regulate their emotions about secrets. To fill this gap, we conducted an experimental study (Study 1), then moved to studying secrecy "in the wild" to capture regulatory processes as they unfold in everyday life (Studies 2 and 3). In Study 1 (N = 498), people reported using different strategies to regulate emotions about secrets compared to matched nonsecrets. In two daily diary studies (NStudy 2 = 174, 1,059 surveys; NStudy 3 = 240, 2,764 surveys), participants reported engaging in acceptance, distraction, and expressive suppression most-and social sharing least-to manage emotions about secrets. Moreover, in testing which kinds of secrets required most regulation, Study 3 suggested that significant, negative, controllable, and socially harmful secrets were associated with greater use of rumination, distraction, and suppression; perceived immorality of keeping secrets was associated with greater use of reappraisal; and secret discoverability did not differentially predict regulation strategies. Our findings indicate that when regulating emotions about their secrets, people appear to prioritize their intention to keep secret information hidden, despite potential well-being costs that may come with enacting this intention. Understanding the regulatory processes involved in secrecy is a foundation on which future research can build to identify ways of alleviating the burden of secrecy. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
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    Associations between multidomain modifiable dementia risk factors with AD biomarkers and cognition in middle-aged and older adults.
    Bransby, L ; Yassi, N ; Rosenich, E ; Buckley, R ; Li, Q-X ; Maruff, P ; Pase, M ; Lim, YY (Elsevier BV, 2024-06)
    This study aimed to determine associations between modifiable dementia risk factors (MDRF), across domains mood symptomatology, lifestyle behaviors, cardiovascular conditions, cognitive/social engagement, sleep disorders/symptomatology, with cognition, beta-amyloid (Aβ) and tau, and brain volume. Middle-aged/older adults (n=82) enrolled in a sub-study of the Healthy Brain Project completed self-report questionnaires and a neuropsychological battery. Cerebrospinal fluid levels of Aβ 1-42, total tau (t-tau), and phosphorylated tau (p-tau181) (Roche Elecsys), and MRI markers of hippocampal volume and total brain volume were obtained. Participants were classified as no/single domain risk (≤1 domains) or multidomain risk (≥2 domains). Compared to the no/single domain risk group, the multidomain risk group performed worse on the Preclinical Alzheimer's Cognitive Composite (d=0.63, p=.005), and Executive Function (d=0.50, p=.016), and had increased p-tau181 (d=0.47, p=.042) and t-tau (d=0.54, p=.021). In middle-aged/older adults, multidomain MDRFs were related to increases in tau and worse cognition, but not Aβ or brain volume. Findings suggest that increases in AD biomarkers are apparent in midlife, particularly for individuals with greater burden, or variety of MDRFs.
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    Changing your mind about the data: Updating sampling assumptions in inductive inference
    Hayes, BK ; Pham, J ; Lee, J ; Perfors, A ; Ransom, K ; Desai, SC (ELSEVIER, 2024-04)
    When people use samples of evidence to make inferences, they consider both the sample contents and how the sample was generated ("sampling assumptions"). The current studies examined whether people can update their sampling assumptions - whether they can revise a belief about sample generation that is discovered to be incorrect, and reinterpret old data in light of the new belief. We used a property induction task where learners saw a sample of instances that shared a novel property and then inferred whether it generalized to other items. Assumptions about how the sample was selected were manipulated between conditions: in the property sampling frame condition, items were selected because they shared a property, while in the category sampling frame condition, items were selected because they belonged to a particular category. Experiment 1 found that these frames affected patterns of property generalization regardless of whether they were presented before or after the sample data was observed: in both cases, generalization was narrower under a property than a category frame. In Experiments 2 and 3, an initial category or property frame was presented before the sample, and was later retracted and replaced with the complementary frame. Learners were able to update their beliefs about sample generation, basing their property generalization on the more recent correct frame. These results show that learners can revise incorrect beliefs about data selection and adjust their inductive inferences accordingly.
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    Understanding cannabis use and mental health difficulties in context with women's experiences of stressful events and social health issues in pregnancy: The Aboriginal Families Study.
    Mensah, FK ; Glover, K ; Leane, C ; Gartland, D ; Nikolof, A ; Clark, Y ; Gee, G ; Brown, SJ (Elsevier BV, 2024-05)
    BACKGROUND: Few population-based data sources fully recognise the intersections between stressful events, social health issues, and cannabis use in pregnancy, and little is known about sequelae for women's mental health. METHODS: We draw on two waves of population-based data for 344 families participating in the Aboriginal Families Study longitudinal cohort. We examine women's mental health in the first year postpartum and when children were aged 5-9 years in context with life experiences and use of cannabis in pregnancy. OUTCOMES: One in five women (19·5%) used cannabis during pregnancy (with or without co-use of tobacco). Within this group of women, 88·3% experienced 3 or more (3+) stressful events or social health issues. Psychological distress (Kessler-5 scale, K-5) in the year postpartum was substantially higher amongst women who had used cannabis or experienced 3+ stressful events or social health issues. High proportions of women met criteria for support and referral for depression and/or anxiety (52·5% of women who had used cannabis compared to 20·9% amongst women who had neither used cannabis nor tobacco; 43·2% of women who had experienced 3+ stressful events or social health issues compared to 15·6% amongst women who had not indicated these experiences). Similar patterns of psychological distress, depressive (9-item adapted Personal Health Questionnaire, aPHQ-9) and anxiety symptoms (7-item Generalised Anxiety Disorder score, GAD-7) were evident when the study children were aged 5-9 years. INTERPRETATION: Amongst women who had used cannabis in pregnancy, a high burden of psychological distress, depression, and anxiety is evident in the postpartum period and as their children turn 5-9 years. The overlay of stressful events and social health issues and the high proportion of women meeting criteria for referral for mental health assessment and support indicate an urgent need to offer women opportunities for safe disclosure of cannabis use and opportunities to access sustained holistic services. Reducing the harms of cannabis use on Aboriginal and Torres Strait Islander families must be coupled with culturally safe ways of addressing the social, historical, and structural determinants of mental health distress and harmful use of substances.
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    Are we really Bayesian? Probabilistic inference shows sub-optimal knowledge transfer
    Lin, C-HS ; Do, TT ; Unsworth, L ; Garrido, MI ; Marinazzo, D (PUBLIC LIBRARY SCIENCE, 2024-01)
    Numerous studies have found that the Bayesian framework, which formulates the optimal integration of the knowledge of the world (i.e. prior) and current sensory evidence (i.e. likelihood), captures human behaviours sufficiently well. However, there are debates regarding whether humans use precise but cognitively demanding Bayesian computations for behaviours. Across two studies, we trained participants to estimate hidden locations of a target drawn from priors with different levels of uncertainty. In each trial, scattered dots provided noisy likelihood information about the target location. Participants showed that they learned the priors and combined prior and likelihood information to infer target locations in a Bayes fashion. We then introduced a transfer condition presenting a trained prior and a likelihood that has never been put together during training. How well participants integrate this novel likelihood with their learned prior is an indicator of whether participants perform Bayesian computations. In one study, participants experienced the newly introduced likelihood, which was paired with a different prior, during training. Participants changed likelihood weighting following expected directions although the degrees of change were significantly lower than Bayes-optimal predictions. In another group, the novel likelihoods were never used during training. We found people integrated a new likelihood within (interpolation) better than the one outside (extrapolation) the range of their previous learning experience and they were quantitatively Bayes-suboptimal in both. We replicated the findings of both studies in a validation dataset. Our results showed that Bayesian behaviours may not always be achieved by a full Bayesian computation. Future studies can apply our approach to different tasks to enhance the understanding of decision-making mechanisms.
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    Stimulus expectations do not modulate visual event-related potentials in probabilistic cueing designs
    Ouden, CD ; Zhou, A ; Mepani, V ; Kovács, G ; Vogels, R ; Feuerriegel, D ( 2023-04-06)
    Abstract Humans and other animals can learn and exploit repeating patterns that occur within their environments. These learned patterns can be used to form expectations about future sensory events. Several influential predictive coding models have been proposed to explain how learned expectations influence the activity of stimulus-selective neurons in the visual system. These models specify reductions in neural response measures when expectations are fulfilled (termed expectation suppression) and increases following surprising sensory events. However, there is currently scant evidence for expectation suppression in the visual system when confounding factors are taken into account. Effects of surprise have been observed in blood oxygen level dependent (BOLD) signals, but not when using electrophysiological measures. To provide a strong test for expectation suppression and surprise effects we performed a predictive cueing experiment while recording electroencephalographic (EEG) data. Participants (n=48) learned cue-face associations during a training session and were then exposed to these cue-face pairs in a subsequent experiment. Using univariate analyses of face-evoked event-related potentials (ERPs) we did not observe any differences across expected (90% probability), neutral (50%) and surprising (10%) face conditions. Across these comparisons, Bayes factors consistently favoured the null hypothesis throughout the time-course of the stimulus-evoked response. When using multivariate pattern analysis we did not observe above-chance classification of expected and surprising face-evoked ERPs. By contrast, we found robust within– and across-trial stimulus repetition effects. Our findings do not support predictive coding-based accounts that specify reduced prediction error signalling when perceptual expectations are fulfilled. They instead highlight the utility of other types of predictive processing models that describe expectation-related phenomena in the visual system without recourse to prediction error signalling. Highlights –We performed a probabilistic cueing experiment while recording EEG. –We tested for effects of fulfilled expectations, surprise, and image repetition. –No expectation-related effects were observed. –Robust within– and across-trial repetition effects were found. –We did not find support for predictive coding models of expectation effects.
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    Mice with an autism-associated R451C mutation in neuroligin-3 show a cautious but accurate response style in touchscreen attention tasks
    Burrows, EL ; May, C ; Hill, T ; Churliov, L ; Johnson, KA ; Hannan, AJ (WILEY, 2022-01)
    One of the earliest identifiable features of autism spectrum disorder (ASD) is altered attention. Mice expressing the ASD-associated R451C mutation in synaptic adhesion protein neuroligin-3 (NL3) exhibit impaired reciprocal social interactions and repetitive and restrictive behaviours. The role of this mutation in attentional abnormalities has not been established. We assessed attention in male NL3R451C mice using two well-established tasks in touchscreen chambers. In the 5-choice serial reaction task, rodents were trained to attend to light stimuli that appear in any one of five locations. While no differences between NL3R451C and WT mice were seen in accuracy or omissions, slower response times and quicker reward collection latencies were seen across all training and probe trials. In the rodent continuous-performance test, animals were required to discriminate, and identify a visual target pattern over multiple distractor stimuli. NL3R451C mice displayed enhanced ability to attend to stimuli when task-load was low during training and baseline but lost this advantage when difficulty was increased by altering task parameters in probe trials. NL3R451C mice made less responses to the distractor stimuli, exhibiting lower false alarm rates during all training stages and in probe trials. Slower response times and quicker reward latencies were consistently seen in NL3R451C mice in the rCPT. Slower response times are a major cognitive phenotype reported in ASD patients and are indicative of slower processing speed. Enhanced attention has been shown in a subset of ASD patients and we have demonstrated this phenotype also exists in the NL3R451C mouse model.
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    Mindfulness Teacher Trainees' Experiences (MTTE): An investigation of intense experiences in mindfulness-based interventions.
    Jönhagen, E ; Wood, T ; Niemi, M ; Galante, J ; Petkari, E (Public Library of Science (PLoS), 2024)
    With the increasing interest in mindfulness practices within clinical as well as non-clinical settings and the increasing body of research on the positive effects of mindfulness, concerns have been raised that mindfulness might also produce adverse effects including intense experiences and psychosis. The aim of this study was to investigate if intense experiences occur as a natural part of mindfulness practice, and if so to examine the characteristics of such experiences. We conducted a qualitative analysis based on fortnightly meditation reports from 13 mindfulness teacher trainees for 4 months. Intense experiences in meditation were frequently expressed in the reports of most of the practitioners and in some individuals these experiences were similar to psychotic-like experiences. This study presents suggestive evidence that mindfulness practices can produce intense experiences and that for some individuals these intense experiences may resemble psychotic-like experiences.
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    Priority populations' experiences of isolation, quarantine and distancing for COVID-19: protocol for a longitudinal cohort study (Optimise Study)
    Pedrana, A ; Bowring, A ; Heath, K ; Thomas, AJ ; Wilkinson, A ; Fletcher-Lartey, S ; Saich, F ; Munari, S ; Oliver, J ; Merner, B ; Altermatt, A ; Nguyen, T ; Nguyen, L ; Young, K ; Kerr, P ; Osborne, D ; Kwong, EJL ; Corona, MV ; Ke, T ; Zhang, Y ; Eisa, L ; Al-Qassas, A ; Malith, D ; Davis, A ; Gibbs, L ; Block, K ; Horyniak, D ; Wallace, J ; Power, R ; Vadasz, D ; Ryan, R ; Shearer, F ; Homer, C ; Collie, A ; Meagher, N ; Danchin, M ; Kaufman, J ; Wang, P ; Hassani, A ; Sadewo, GRP ; Robins, G ; Gallagher, C ; Matous, P ; Roden, B ; Karkavandi, MA ; Coutinho, J ; Broccatelli, C ; Koskinen, J ; Curtis, S ; Doyle, JS ; Geard, N ; Hill, S ; Coelho, A ; Scott, N ; Lusher, D ; Stoove, MA ; Gibney, KB ; Hellard, M (BMJ PUBLISHING GROUP, 2024-01)
    INTRODUCTION: Longitudinal studies can provide timely and accurate information to evaluate and inform COVID-19 control and mitigation strategies and future pandemic preparedness. The Optimise Study is a multidisciplinary research platform established in the Australian state of Victoria in September 2020 to collect epidemiological, social, psychological and behavioural data from priority populations. It aims to understand changing public attitudes, behaviours and experiences of COVID-19 and inform epidemic modelling and support responsive government policy. METHODS AND ANALYSIS: This protocol paper describes the data collection procedures for the Optimise Study, an ongoing longitudinal cohort of ~1000 Victorian adults and their social networks. Participants are recruited using snowball sampling with a set of seeds and two waves of snowball recruitment. Seeds are purposively selected from priority groups, including recent COVID-19 cases and close contacts and people at heightened risk of infection and/or adverse outcomes of COVID-19 infection and/or public health measures. Participants complete a schedule of monthly quantitative surveys and daily diaries for up to 24 months, plus additional surveys annually for up to 48 months. Cohort participants are recruited for qualitative interviews at key time points to enable in-depth exploration of people's lived experiences. Separately, community representatives are invited to participate in community engagement groups, which review and interpret research findings to inform policy and practice recommendations. ETHICS AND DISSEMINATION: The Optimise longitudinal cohort and qualitative interviews are approved by the Alfred Hospital Human Research Ethics Committee (# 333/20). The Optimise Study CEG is approved by the La Trobe University Human Ethics Committee (# HEC20532). All participants provide informed verbal consent to enter the cohort, with additional consent provided prior to any of the sub studies. Study findings will be disseminated through public website (https://optimisecovid.com.au/study-findings/) and through peer-reviewed publications. TRIAL REGISTRATION NUMBER: NCT05323799.
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    Mindfulness in education: Critical debates and pragmatic considerations
    Lee, W ; McCaw, CT ; Van Dam, NT (Wiley, 2024)
    Mindfulness has all but become a mainstay in modern education. Yet despite the incredible enthusiasm and increased application in schools, there remains significant divergence between advocates and critics. Advocates assert that mindfulness practice promotes individual and societal health and well-being. Meanwhile, critics question the intention and the social and political implications of promoting these ancient practices in schools, arguing that the Buddhist ethics underlying mindfulness remain incompatible with the neoliberal ideology and instrumentalism of contemporary schooling. As mindfulness has been commodified, instrumentalised and used as a therapeutic tool for acute coping, its broader potential for human growth and development may be undermined. Furthermore, scholars caution that the fledging nature of mindfulness research leaves critical questions unanswered, especially the potential for adverse effects. The work herein examines these critiques, presenting three critical considerations for mindfulness in education, and articulates practical recommendations for educational leaders, policy makers and stakeholders. We aim to empower educators and others to make judgements about the promotion and integration of mindfulness into educational settings, considering context-specific factors such as developmental needs and capacities, as well as recommendations to support effective and ethical practice of mindfulness in education.