Centre for Youth Mental Health - Research Publications

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    Acceptability and feasibility of a multidomain harmonized data collection protocol in youth mental health
    Youn, S ; Mamsa, S ; Allott, K ; Berger, M ; Polari, A ; Rice, S ; Schmaal, L ; Wood, S ; Lavoie, S (WILEY, 2023-05)
    OBJECTIVE: To develop targeted treatment for young people experiencing mental illness, a better understanding of the biological, psychological, and social changes is required, particularly during the early stages of illness. To do this, large datasets need to be collected using standardized methods. A harmonized data collection protocol was tested in a youth mental health research setting to determine its acceptability and feasibility. METHOD: Eighteen participants completed the harmonization protocol, including a clinical interview, self-report measures, neurocognitive measures, and mock assessments of magnetic resonance imaging (MRI) and blood. The feasibility of the protocol was assessed by recording recruitment rates, study withdrawals, missing data, and protocol deviations. Subjective responses from participant surveys and focus groups were used to examine the acceptability of the protocol. RESULTS: Twenty-eight young people were approached, 18 consented, and four did not complete the study. Most participants reported positive subjective impressions of the protocol as a whole and showed interest in participating in the study again, if given the opportunity. Participants generally perceived the MRI and neurocognitive tasks as interesting and suggested that the assessment of clinical presentation could be shortened. CONCLUSION: Overall, the harmonized data collection protocol appeared to be feasible and generally well-accepted by participants. With a majority of participants finding the assessment of clinical presentation too long and repetitive, the authors have made suggestions to shorten the self-reports. The broader implementation of this protocol could allow researchers to create large datasets and better understand how psychopathological and neurobiological changes occur in young people with mental ill-health.
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    Combining Clinical With Cognitive or Magnetic Resonance Imaging Data for Predicting Transition to Psychosis in Ultra High-Risk Patients: Data From the PACE 400 Cohort.
    Hartmann, S ; Cearns, M ; Pantelis, C ; Dwyer, D ; Cavve, B ; Byrne, E ; Scott, I ; Yuen, HP ; Gao, C ; Allott, K ; Lin, A ; Wood, SJ ; Wigman, JTW ; Amminger, GP ; McGorry, PD ; Yung, AR ; Nelson, B ; Clark, SR (Elsevier BV, 2024-04)
    BACKGROUND: Multimodal modeling that combines biological and clinical data shows promise in predicting transition to psychosis in individuals who are at ultra-high risk. Individuals who transition to psychosis are known to have deficits at baseline in cognitive function and reductions in gray matter volume in multiple brain regions identified by magnetic resonance imaging. METHODS: In this study, we used Cox proportional hazards regression models to assess the additive predictive value of each modality-cognition, cortical structure information, and the neuroanatomical measure of brain age gap-to a previously developed clinical model using functioning and duration of symptoms prior to service entry as predictors in the Personal Assessment and Crisis Evaluation (PACE) 400 cohort. The PACE 400 study is a well-characterized cohort of Australian youths who were identified as ultra-high risk of transitioning to psychosis using the Comprehensive Assessment of At Risk Mental States (CAARMS) and followed for up to 18 years; it contains clinical data (from N = 416 participants), cognitive data (n = 213), and magnetic resonance imaging cortical parameters extracted using FreeSurfer (n = 231). RESULTS: The results showed that neuroimaging, brain age gap, and cognition added marginal predictive information to the previously developed clinical model (fraction of new information: neuroimaging 0%-12%, brain age gap 7%, cognition 0%-16%). CONCLUSIONS: In summary, adding a second modality to a clinical risk model predicting the onset of a psychotic disorder in the PACE 400 cohort showed little improvement in the fit of the model for long-term prediction of transition to psychosis.
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    The self, neuroscience and psychosis study: Testing a neurophenomenological model of the onset of psychosis
    Krcmar, M ; Wannan, CMJ ; Lavoie, S ; Allott, K ; Davey, CGG ; Yuen, HP ; Whitford, T ; Formica, M ; Youn, S ; Shetty, J ; Beedham, R ; Rayner, V ; Murray, G ; Polari, A ; Gaweda, L ; Koren, D ; Sass, L ; Parnas, J ; Rasmussen, ARR ; McGorry, P ; Hartmann, JAA ; Nelson, B (WILEY, 2024-02)
    AIM: Basic self disturbance is a putative core vulnerability marker of schizophrenia spectrum disorders. The primary aims of the Self, Neuroscience and Psychosis (SNAP) study are to: (1) empirically test a previously described neurophenomenological self-disturbance model of psychosis by examining the relationship between specific clinical, neurocognitive, and neurophysiological variables in UHR patients, and (2) develop a prediction model using these neurophenomenological disturbances for persistence or deterioration of UHR symptoms at 12-month follow-up. METHODS: SNAP is a longitudinal observational study. Participants include 400 UHR individuals, 100 clinical controls with no attenuated psychotic symptoms, and 50 healthy controls. All participants complete baseline clinical and neurocognitive assessments and electroencephalography. The UHR sample are followed up for a total of 24 months, with clinical assessment completed every 6 months. RESULTS: This paper presents the protocol of the SNAP study, including background rationale, aims and hypotheses, design, and assessment procedures. CONCLUSIONS: The SNAP study will test whether neurophenomenological disturbances associated with basic self-disturbance predict persistence or intensification of UHR symptomatology over a 2-year follow up period, and how specific these disturbances are to a clinical population with attenuated psychotic symptoms. This may ultimately inform clinical care and pathoaetiological models of psychosis.
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    Effects of risperidone/paliperidone versus placebo on cognitive functioning over the first 6 months of treatment for psychotic disorder: secondary analysis of a triple-blind randomised clinical trial
    Allott, K ; Yuen, HP ; Baldwin, L ; O'Donoghue, B ; Fornito, A ; Chopra, S ; Nelson, B ; Graham, J ; Kerr, MJJ ; Proffitt, T-M ; Ratheesh, A ; Alvarez-Jimenez, M ; Harrigan, S ; Brown, E ; Thompson, ADD ; Pantelis, C ; Berk, M ; McGorry, PDD ; Francey, SMM ; Wood, SJJ (SPRINGERNATURE, 2023-06-10)
    The drivers of cognitive change following first-episode psychosis remain poorly understood. Evidence regarding the role of antipsychotic medication is primarily based on naturalistic studies or clinical trials without a placebo arm, making it difficult to disentangle illness from medication effects. A secondary analysis of a randomised, triple-blind, placebo-controlled trial, where antipsychotic-naive patients with first-episode psychotic disorder were allocated to receive risperidone/paliperidone or matched placebo plus intensive psychosocial therapy for 6 months was conducted. A healthy control group was also recruited. A cognitive battery was administered at baseline and 6 months. Intention-to-treat analysis involved 76 patients (antipsychotic medication group: 37; 18.6Mage [2.9] years; 21 women; placebo group: 39; 18.3Mage [2.7]; 22 women); and 42 healthy controls (19.2Mage [3.0] years; 28 women). Cognitive performance predominantly remained stable (working memory, verbal fluency) or improved (attention, processing speed, cognitive control), with no group-by-time interaction evident. However, a significant group-by-time interaction was observed for immediate recall (p = 0.023), verbal learning (p = 0.024) and delayed recall (p = 0.005). The medication group declined whereas the placebo group improved on each measure (immediate recall: p = 0.024; ηp2 = 0.062; verbal learning: p = 0.015; ηp2 = 0.072 both medium effects; delayed recall: p = 0.001; ηp2 = 0.123 large effect). The rate of change for the placebo and healthy control groups was similar. Per protocol analysis (placebo n = 16, medication n = 11) produced similar findings. Risperidone/paliperidone may worsen verbal learning and memory in the early months of psychosis treatment. Replication of this finding and examination of various antipsychotic agents are needed in confirmatory trials. Antipsychotic effects should be considered in longitudinal studies of cognition in psychosis.Trial registration: Australian New Zealand Clinical Trials Registry ( http://www.anzctr.org.au/ ; ACTRN12607000608460).
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    Network-Based Spreading of Gray Matter Changes Across Different Stages of Psychosis
    Chopra, S ; Segal, A ; Oldham, S ; Holmes, A ; Sabaroedin, K ; Orchard, ER ; Francey, SM ; O'Donoghue, B ; Cropley, V ; Nelson, B ; Graham, J ; Baldwin, L ; Tiego, J ; Yuen, HP ; Allott, K ; Alvarez-Jimenez, M ; Harrigan, S ; Fulcher, BD ; Aquino, K ; Pantelis, C ; Wood, SJ ; Bellgrove, M ; Mcgorry, PD ; Fornito, A (AMER MEDICAL ASSOC, 2023-12)
    IMPORTANCE: Psychotic illness is associated with anatomically distributed gray matter reductions that can worsen with illness progression, but the mechanisms underlying the specific spatial patterning of these changes is unknown. OBJECTIVE: To test the hypothesis that brain network architecture constrains cross-sectional and longitudinal gray matter alterations across different stages of psychotic illness and to identify whether certain brain regions act as putative epicenters from which volume loss spreads. DESIGN, SETTINGS, AND PARTICIPANTS: This case-control study included 534 individuals from 4 cohorts, spanning early and late stages of psychotic illness. Early-stage cohorts included patients with antipsychotic-naive first-episode psychosis (n = 59) and a group of patients receiving medications within 3 years of psychosis onset (n = 121). Late-stage cohorts comprised 2 independent samples of people with established schizophrenia (n = 136). Each patient group had a corresponding matched control group (n = 218). A sample of healthy adults (n = 356) was used to derive representative structural and functional brain networks for modeling of network-based spreading processes. Longitudinal illness-related and antipsychotic-related gray matter changes over 3 and 12 months were examined using a triple-blind randomized placebo-control magnetic resonance imaging study of the antipsychotic-naive patients. All data were collected between April 29, 2008, and January 15, 2020, and analyses were performed between March 1, 2021, and January 14, 2023. MAIN OUTCOMES AND MEASURES: Coordinated deformation models were used to estimate the extent of gray matter volume (GMV) change in each of 332 parcellated areas by the volume changes observed in areas to which they were structurally or functionally coupled. To identify putative epicenters of volume loss, a network diffusion model was used to simulate the spread of pathology from different seed regions. Correlations between estimated and empirical spatial patterns of GMV alterations were used to quantify model performance. RESULTS: Of 534 included individuals, 354 (66.3%) were men, and the mean (SD) age was 28.4 (7.4) years. In both early and late stages of illness, spatial patterns of cross-sectional volume differences between patients and controls were more accurately estimated by coordinated deformation models constrained by structural, rather than functional, network architecture (r range, >0.46 to <0.57; P < .01). The same model also robustly estimated longitudinal volume changes related to illness (r ≥ 0.52; P < .001) and antipsychotic exposure (r ≥ 0.50; P < .004). Network diffusion modeling consistently identified, across all 4 data sets, the anterior hippocampus as a putative epicenter of pathological spread in psychosis. Epicenters of longitudinal GMV loss were apparent in posterior cortex early in the illness and shifted to the prefrontal cortex with illness progression. CONCLUSION AND RELEVANCE: These findings highlight a central role for white matter fibers as conduits for the spread of pathology across different stages of psychotic illness, mirroring findings reported in neurodegenerative conditions. The structural connectome thus represents a fundamental constraint on brain changes in psychosis, regardless of whether these changes are caused by illness or medication. Moreover, the anterior hippocampus represents a putative epicenter of early brain pathology from which dysfunction may spread to affect connected areas.
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    Impact of rural settings on the interpersonal and personal processes associated with young people supporting a peer who experienced a traumatic event
    Dolan, E ; Cosgrave, C ; Killackey, E ; Allott, K (Wiley, 2023-12)
    INTRODUCTION: There is limited research into informal support processes amongst young people supporting a peer through a traumatic event and how this process occurs specifically within a rural setting. OBJECTIVE: The aim of this research was to understand how the contextual environment impacts on the personal and interpersonal processes of rural-based young people supporting a peer who experienced a traumatic event. DESIGN: Qualitative interviews were conducted with 22 young people (aged 14-19), who resided in Gippsland, Victoria, Australia. A substantive theory was developed using Charmaz's (1) Constructivist grounded theory methodology. FINDINGS: Young people who shared responsibility for supporting their peer went back to life as normal and felt connected to their community, whereas young people who maintained sole responsibility, experienced mental health problems, disconnected from their community and felt like an outsider. The contextual environmental factors (i.e., service accessibility, limited transport, and internet blackspots) impacted both negatively and positively on young people's ability to provide support as well as influenced whether they felt safe share responsibility. DISCUSSION: This theory implies that providing pathways to reconnecting with place and community, are essential in guiding young people back to their foundations of support. CONCLUSION: Integrating these insights can create new service models in rural areas, whilst also creating opportunities to form healthy foundations of support.
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    Cognition is a treatment priority for young people with psychosis: Findings from the Your Mind, Your Choice survey
    Stainton, A ; Cheng, N ; Bryce, S ; Dalton, A ; Ojinnaka, A ; Zbukvic, I ; Ratheesh, A ; O'Halloran, C ; Uren, J ; Gates, J ; Daglas-Georgiou, R ; Wood, SJ ; Allott, K (ELSEVIER, 2023-12)
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    Cognitive strengths in first-episode psychosis: perspectives from young people with lived experience
    Bryce, S ; de Winter, A ; Phillips, L ; Cheng, N ; Alvarez-Jimenez, M ; Allott, K (ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD, 2022-03-25)
    Background: Identifying cognitive strengths may be one avenue for enhancing functional recovery in people with first-episode psychosis (FEP). This study explored the perspectives of young people with FEP on the conceptualisation of cognitive strengths and the perceived risks and benefits, and pragmatic considerations, of a cognitive strengths-based approach to assessment and treatment. Methods: Ten participants, aged 18 to 26 (Mage = 21.44 years, SD = 2.70), were recruited from an early psychosis assessment and treatment service. Data were collected using a semi-structured interview and analyzed using thematic analysis. Results: Four overarching themes emerged, related to: 1) Understanding cognitive strengths in FEP; 2) Potential benefits; 3) Barriers and risks; and 4) Considerations for development and implementation. Young people held positive views toward assessment and treatment methods focused on cognitive strengths, suggesting that identifying strengths and building confidence beliefs may promote greater functioning. Potential barriers, including harms related to being unable to identify cognitive strengths or neglecting deficits, were areas requiring further consideration. Discussion: A cognitive strengths-based approach to assessment and treatment in FEP is a promising area of investigation, according to young people with FEP. The results provide insight regarding a cognitive strengths definition and the ways that these could be measured in future.
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    The specific phenotype of depression in recent onset schizophrenia spectrum disorders: A symptom profile and network comparison to recent onset major depressive disorder without psychotic features
    Herniman, SE ; Wood, SJ ; Cotton, SM ; Allott, KA ; Davey, C ; Berk, M ; Phillips, LJ (ELSEVIER, 2022-02)
    The specific phenotype of depression in recent-onset schizophrenia spectrum disorders (SSD) and its relation to non-psychotic depression is unknown. Symptom profile and network analysis are complementary statistical techniques that may provide important insights into the presentation and relative importance of individual symptoms that give rise to depression. The aim of the current study was to characterise the profile and network of depressive symptoms in SSD and compare it to individuals with major depressive disorder (MDD) without psychotic features. This study involved analysis of baseline data pertaining to 109 individuals with comorbid SSD and depression and 283 with MDD without psychotic features. Study cohorts were the Psychosis Recent Onset GRoningen Survey (PROGR-S) and Youth Depression Alleviation (YoDA) trials, respectively. Profile and network analyses revealed that SSD and MDD differed in the profile and relative importance of individual depressive symptoms. While reported sadness was the primary hallmark of depression in both SSD and MDD, individuals with depression in SSD were more likely to sleep more, and have lower lassitude and pessimism. While sadness had great importance in MDD and SSD, in SSD but not MDD lassitude, sleep, appetite, concentration difficulties, and inability to feel were important in the network of depressive symptoms. The specific phenotype of depression might be different in SSD compared to MDD. Symptom inequivalence or underlying functional mechanisms in SSD might result in depression in SSD that is similar to MDD with atypical features.
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    Intelligence trajectories in individuals at ultra-high risk for psychosis: An 8-year longitudinal analysis
    Cheng, N ; Lin, A ; Bowden, S ; Gao, C ; Yung, AR ; Nelson, B ; Thompson, A ; Yuen, HP ; Brewer, WJ ; Cagliarini, D ; Bruxner, A ; Simmons, M ; Broussard, C ; Pantelis, C ; McGorry, PD ; Allott, K ; Wood, SJ (ELSEVIER, 2022-10)
    Cognitive impairment is a well-documented predictor of transition to a full-threshold psychotic disorder amongst individuals at ultra-high risk (UHR) for psychosis. However, less is known about whether change in cognitive functioning differs between those who do and do not transition. Studies to date have not examined trajectories in intelligence constructs (e.g., acquired knowledge and fluid intelligence), which have demonstrated marked impairments in individuals with schizophrenia. This study aimed to examine intelligence trajectories using longitudinal data spanning an average of eight years, where some participants completed assessments over three time-points. Participants (N = 139) at UHR for psychosis completed the Wechsler Abbreviated Scale of Intelligence (WASI) at each follow-up. Linear mixed-effects models mapped changes in WASI Full-Scale IQ (FSIQ) and T-scores on Vocabulary, Similarities, Block Design, and Matrix Reasoning subtests. The sample showed stable and improving trajectories for FSIQ and all subtests. There were no significant differences in trajectories between those who did and did not transition to psychosis and between individuals with good and poor functional outcomes. However, although not significant, the trajectories of the acquired knowledge subtests diverged between transitioned and non-transitioned individuals (β = -0.12, 95 % CI [-0.29, 0.05] for Vocabulary and β = -0.14, 95 % CI [-0.33, 0.05] for Similarities). Overall, there was no evidence for long-term deterioration in intelligence trajectories in this UHR sample. Future studies with a larger sample of transitioned participants may be needed to explore potential differences in intelligence trajectories between UHR transition groups and other non-psychosis outcomes.