Centre for Youth Mental Health - Research Publications

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    An open label pilot trial of low-dose lithium for young people at ultra-high risk for psychosis
    Rice, SM ; Nelson, B ; Amminger, GP ; Francey, SM ; Phillips, LJ ; Simmons, MB ; Ross, M ; Yuen, HP ; Yung, AR ; O'Gorman, K ; Mcgorry, PD ; Wood, SJ ; Berger, GE (WILEY, 2024-04-10)
    AIM: Lithium, even at low doses, appears to offer neuroprotection against a wide variety of insults. In this controlled pilot, we examined the safety (i.e., side-effect profile) of lithium in a sample of young people identified at ultra-high risk (UHR) for psychosis. The secondary aim was to explore whether lithium provided a signal of clinical efficacy in reducing transition to psychosis compared with treatment as usual (TAU). METHODS: Young people attending the PACE clinic at Orygen, Melbourne, were prescribed a fixed dose (450 mg) of lithium (n = 25) or received TAU (n = 78). The primary outcome examined side-effects, with transition to psychosis, functioning and measures of psychopathology assessed as secondary outcomes. RESULTS: Participants in both groups were functionally compromised (lithium group GAF = 56.6; monitoring group GAF = 56.9). Side-effect assessment indicated that lithium was well-tolerated. 64% (n = 16) of participants in the lithium group were lithium-adherent to week 12. Few cases transitioned to psychosis across the study period; lithium group 4% (n = 1); monitoring group 7.7% (n = 6). There was no difference in time to transition to psychosis between the groups. No group differences were observed in other functioning and symptom domains, although all outcomes improved over time. CONCLUSIONS: With a side-effect profile either comparable to, or better than UHR antipsychotic trials, lithium might be explored for further research with UHR young people. A definitive larger trial is needed to determine the efficacy of lithium in this cohort.
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    Development of the PSYCHS: Positive SYmptoms and Diagnostic Criteria for the CAARMS Harmonized with the SIPS
    Woods, SW ; Parker, S ; Kerr, MJ ; Walsh, BC ; Wijtenburg, SA ; Prunier, N ; Nunez, AR ; Buccilli, K ; Mourgues-Codern, C ; Brummitt, K ; Kinney, KS ; Trankler, C ; Szacilo, J ; Colton, B-L ; Ali, M ; Haidar, A ; Billah, T ; Huynh, K ; Ahmed, U ; Adery, LL ; Marcy, PJ ; Allott, K ; Amminger, P ; Arango, C ; Broome, MR ; Cadenhead, KS ; Chen, EYH ; Choi, J ; Conus, P ; Cornblatt, BA ; Glenthoj, LB ; Horton, LE ; Kambeitz, J ; Kapur, T ; Keshavan, MS ; Koutsouleris, N ; Langbein, K ; Lavoie, S ; Diaz-Caneja, CM ; Mathalon, DH ; Mittal, VA ; Nordentoft, M ; Pasternak, O ; Pearlson, GD ; Gaspar, PA ; Shah, JL ; Smesny, S ; Stone, WS ; Strauss, GP ; Wang, J ; Corcoran, CM ; Perkins, DO ; Schiffman, J ; Perez, J ; Mamah, D ; Ellman, LM ; Powers, AR ; Coleman, MJ ; Anticevic, A ; Fusar-Poli, P ; Kane, JM ; Kahn, RS ; McGorry, PD ; Bearden, CE ; Shenton, ME ; Nelson, B ; Calkins, ME ; Hendricks, L ; Bouix, S ; Addington, J ; McGlashan, TH ; Yung, AR ; Clark, SR ; Lewandowski, KE ; Torous, J (Wiley, 2024-04)
    AIM: To harmonize two ascertainment and severity rating instruments commonly used for the clinical high risk syndrome for psychosis (CHR-P): the Structured Interview for Psychosis-risk Syndromes (SIPS) and the Comprehensive Assessment of At-Risk Mental States (CAARMS). METHODS: The initial workshop is described in the companion report from Addington et al. After the workshop, lead experts for each instrument continued harmonizing attenuated positive symptoms and criteria for psychosis and CHR-P through an intensive series of joint videoconferences. RESULTS: Full harmonization was achieved for attenuated positive symptom ratings and psychosis criteria, and modest harmonization for CHR-P criteria. The semi-structured interview, named Positive SYmptoms and Diagnostic Criteria for the CAARMS Harmonized with the SIPS (PSYCHS), generates CHR-P criteria and severity scores for both CAARMS and SIPS. CONCLUSIONS: Using the PSYCHS for CHR-P ascertainment, conversion determination, and attenuated positive symptom severity rating will help in comparing findings across studies and in meta-analyses.
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    Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ): Rationale and Study Design of the Largest Global Prospective Cohort Study of Clinical High Risk for Psychosis
    Wannan, CMJ ; Nelson, B ; Addington, J ; Allott, K ; Anticevic, A ; Arango, C ; Baker, JT ; Bearden, CE ; Billah, T ; Bouix, S ; Broome, MR ; Buccilli, K ; Cadenhead, KS ; Calkins, ME ; Cannon, TD ; Cecci, G ; Chen, EYH ; Cho, KIK ; Choi, J ; Clark, SR ; Coleman, MJ ; Conus, P ; Corcoran, CM ; Cornblatt, BA ; Diaz-Caneja, CM ; Dwyer, D ; Ebdrup, BH ; Ellman, LM ; Fusar-Poli, P ; Galindo, L ; Gaspar, PA ; Gerber, C ; Glenthoj, LB ; Glynn, R ; Harms, MP ; Horton, LE ; Kahn, RS ; Kambeitz, J ; Kambeitz-Ilankovic, L ; Kane, JM ; Kapur, T ; Keshavan, MS ; Kim, S-W ; Koutsouleris, N ; Kubicki, M ; Kwon, JS ; Langbein, K ; Lewandowski, KE ; Light, GA ; Mamah, D ; Marcy, PJ ; Mathalon, DH ; McGorry, PD ; Mittal, VA ; Nordentoft, M ; Nunez, A ; Pasternak, O ; Pearlson, GD ; Perez, J ; Perkins, DO ; Powers, AR ; Roalf, DR ; Sabb, FW ; Schiffman, J ; Shah, JL ; Smesny, S ; Spark, J ; Stone, WS ; Strauss, GP ; Tamayo, Z ; Torous, J ; Upthegrove, R ; Vangel, M ; Verma, S ; Wang, J ; Winter-van Rossum, I ; Wolf, DH ; Wolff, P ; Wood, SJ ; Yung, AR ; Agurto, C ; Alvarez-Jimenez, M ; Amminger, P ; Armando, M ; Asgari-Targhi, A ; Cahill, J ; Carrion, RE ; Castro, E ; Cetin-Karayumak, S ; Chakravarty, MM ; Cho, YT ; Cotter, D ; D'Alfonso, S ; Ennis, M ; Fadnavis, S ; Fonteneau, C ; Gao, C ; Gupta, T ; Gur, RE ; Gur, RC ; Hamilton, HK ; Hoftman, GD ; Jacobs, GR ; Jarcho, J ; Ji, JL ; Kohler, CG ; Lalousis, PA ; Lavoie, S ; Lepage, M ; Liebenthal, E ; Mervis, J ; Murty, V ; Nicholas, SC ; Ning, L ; Penzel, N ; Poldrack, R ; Polosecki, P ; Pratt, DN ; Rabin, R ; Eichi, HR ; Rathi, Y ; Reichenberg, A ; Reinen, J ; Rogers, J ; Ruiz-Yu, B ; Scott, I ; Seitz-Holland, J ; Srihari, VH ; Srivastava, A ; Thompson, A ; Turetsky, BI ; Walsh, BC ; Whitford, T ; Wigman, JTW ; Yao, B ; Yuen, HP ; Ahmed, U ; Byun, AJS ; Chung, Y ; Do, K ; Hendricks, L ; Huynh, K ; Jeffries, C ; Lane, E ; Langholm, C ; Lin, E ; Mantua, V ; Santorelli, G ; Ruparel, K ; Zoupou, E ; Adasme, T ; Addamo, L ; Adery, L ; Ali, M ; Auther, A ; Aversa, S ; Baek, S-H ; Bates, K ; Bathery, A ; Bayer, JMM ; Beedham, R ; Bilgrami, Z ; Birch, S ; Bonoldi, I ; Borders, O ; Borgatti, R ; Brown, L ; Bruna, A ; Carrington, H ; Castillo-Passi, RI ; Chen, J ; Cheng, N ; Ching, AE ; Clifford, C ; Colton, B-L ; Contreras, P ; Corral, S ; Damiani, S ; Done, M ; Estrade, A ; Etuka, BA ; Formica, M ; Furlan, R ; Geljic, M ; Germano, C ; Getachew, R ; Goncalves, M ; Haidar, A ; Hartmann, J ; Jo, A ; John, O ; Kerins, S ; Kerr, M ; Kesselring, I ; Kim, H ; Kim, N ; Kinney, K ; Krcmar, M ; Kotler, E ; Lafanechere, M ; Lee, C ; Llerena, J ; Markiewicz, C ; Matnejl, P ; Maturana, A ; Mavambu, A ; Mayol-Troncoso, R ; McDonnell, A ; McGowan, A ; McLaughlin, D ; McIlhenny, R ; McQueen, B ; Mebrahtu, Y ; Mensi, M ; Hui, CLM ; Suen, YN ; Wong, SMY ; Morrell, N ; Omar, M ; Partridge, A ; Phassouliotis, C ; Pichiecchio, A ; Politi, P ; Porter, C ; Provenzani, U ; Prunier, N ; Raj, J ; Ray, S ; Rayner, V ; Reyes, M ; Reynolds, K ; Rush, S ; Salinas, C ; Shetty, J ; Snowball, C ; Tod, S ; Turra-Farina, G ; Valle, D ; Veale, S ; Whitson, S ; Wickham, A ; Youn, S ; Zamorano, F ; Zavaglia, E ; Zinberg, J ; Woods, SW ; Shenton, ME (OXFORD UNIV PRESS, 2024-04-30)
    This article describes the rationale, aims, and methodology of the Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ). This is the largest international collaboration to date that will develop algorithms to predict trajectories and outcomes of individuals at clinical high risk (CHR) for psychosis and to advance the development and use of novel pharmacological interventions for CHR individuals. We present a description of the participating research networks and the data processing analysis and coordination center, their processes for data harmonization across 43 sites from 13 participating countries (recruitment across North America, Australia, Europe, Asia, and South America), data flow and quality assessment processes, data analyses, and the transfer of data to the National Institute of Mental Health (NIMH) Data Archive (NDA) for use by the research community. In an expected sample of approximately 2000 CHR individuals and 640 matched healthy controls, AMP SCZ will collect clinical, environmental, and cognitive data along with multimodal biomarkers, including neuroimaging, electrophysiology, fluid biospecimens, speech and facial expression samples, novel measures derived from digital health technologies including smartphone-based daily surveys, and passive sensing as well as actigraphy. The study will investigate a range of clinical outcomes over a 2-year period, including transition to psychosis, remission or persistence of CHR status, attenuated positive symptoms, persistent negative symptoms, mood and anxiety symptoms, and psychosocial functioning. The global reach of AMP SCZ and its harmonized innovative methods promise to catalyze the development of new treatments to address critical unmet clinical and public health needs in CHR individuals.
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    Proteomic Biomarkers for the Prediction of Transition to Psychosis in Individuals at Clinical High Risk: A Multi-cohort Model Development Study
    Byrne, JF ; Healy, C ; Focking, M ; Susai, SR ; Mongan, D ; Wynne, K ; Kodosaki, E ; Heurich, M ; de Haan, L ; Hickie, IB ; Smesny, S ; Thompson, A ; Markulev, C ; Young, AR ; Schafer, MR ; Riecher-Rossler, A ; Mossaheb, N ; Berger, G ; Schlogelhofer, M ; Nordentoft, M ; Chen, EYH ; Verma, S ; Nieman, DH ; Woods, SW ; Cornblatt, BA ; Stone, WS ; Mathalon, DH ; Bearden, CE ; Cadenhead, KS ; Addington, J ; Walker, EF ; Cannon, TD ; Cannon, M ; McGorry, P ; Amminger, P ; Cagney, G ; Nelson, B ; Jeffries, C ; Perkins, D ; Cotter, DR (OXFORD UNIV PRESS, 2024-04-30)
    Psychosis risk prediction is one of the leading challenges in psychiatry. Previous investigations have suggested that plasma proteomic data may be useful in accurately predicting transition to psychosis in individuals at clinical high risk (CHR). We hypothesized that an a priori-specified proteomic prediction model would have strong predictive accuracy for psychosis risk and aimed to replicate longitudinal associations between plasma proteins and transition to psychosis. This study used plasma samples from participants in 3 CHR cohorts: the North American Prodrome Longitudinal Studies 2 and 3, and the NEURAPRO randomized control trial (total n = 754). Plasma proteomic data were quantified using mass spectrometry. The primary outcome was transition to psychosis over the study follow-up period. Logistic regression models were internally validated, and optimism-corrected performance metrics derived with a bootstrap procedure. In the overall sample of CHR participants (age: 18.5, SD: 3.9; 51.9% male), 20.4% (n = 154) developed psychosis within 4.4 years. The a priori-specified model showed poor risk-prediction accuracy for the development of psychosis (C-statistic: 0.51 [95% CI: 0.50, 0.59], calibration slope: 0.45). At a group level, Complement C8B, C4B, C5, and leucine-rich α-2 glycoprotein 1 (LRG1) were associated with transition to psychosis but did not surpass correction for multiple comparisons. This study did not confirm the findings from a previous proteomic prediction model of transition from CHR to psychosis. Certain complement proteins may be weakly associated with transition at a group level. Previous findings, derived from small samples, should be interpreted with caution.
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    Non-psychotic Outcomes in Young People at Ultra-High Risk of Developing a Psychotic Disorder: A Long-Term Follow-up Study
    Spiteri-Staines, AE ; Yung, AR ; Lin, A ; Hartmann, JA ; Amminger, P ; Mcgorry, PD ; Thompson, A ; Wood, SJ ; Nelson, B (OXFORD UNIV PRESS, 2024-02-16)
    BACKGROUND: The majority of individuals at ultra-high risk (UHR) for psychosis do not transition to a full threshold psychotic disorder. It is therefore important to understand their longer-term clinical and functional outcomes, particularly given the high prevalence of comorbid mental disorders in this population at baseline. AIMS: This study investigated the prevalence of non-psychotic disorders in the UHR population at entry and long-term follow-up and their association with functional outcomes. Persistence of UHR status was also investigated. STUDY DESIGN: The sample comprised 102 UHR young people from the Personal Assessment and Crisis Evaluation (PACE) Clinic who had not transitioned to psychosis by long-term follow-up (mean = 8.8 years, range = 6.8-12.1 years since baseline). RESULTS: Eighty-eight percent of participants at baseline were diagnosed with at least one mental disorder, the majority of which were mood disorders (78%), anxiety disorders (35%), and substance use disorders (SUDs) (18%). This pattern of disorder prevalence continued at follow-up, though prevalence was reduced, with 52% not meeting criteria for current non-psychotic mental disorder. However, 35% of participants developed a new non-psychotic mental disorder by follow-up. Presence of a continuous non-psychotic mental disorder was associated with poorer functional outcomes at follow-up. 28% of participants still met UHR criteria at follow-up. CONCLUSIONS: The study adds to the evidence base that a substantial proportion of UHR individuals who do not transition to psychosis experience persistent attenuated psychotic symptoms and persistent and incident non-psychotic disorders over the long term. Long-term treatment and re-entry into services is indicated.
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    Introduction to the special issue.
    Addington, J ; Nelson, B (Wiley, 2024-04)
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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, 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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    The relationship between subjective sleep disturbance and attenuated psychotic symptoms after accounting for anxiety and depressive symptoms
    Formica, MJC ; Fuller-Tyszkiewicz, M ; Hickie, I ; Olive, L ; Wood, SJ ; Purcell, R ; Yung, AR ; Phillips, LJ ; Nelson, B ; Pantelis, C ; Mcgorry, PD ; Hartmann, JA (ELSEVIER, 2023-08)
    BACKGROUND AND HYPOTHESES: Sleep disturbances are increasingly recognized as cooccurring with psychotic symptoms. The potential importance of this relationship is complicated when considering the effects of anxiety and depressive symptoms which commonly present in early-stage illness states. This study aimed to investigate the relationship between self-reported sleep disturbance on the development of attenuated psychotic symptoms (APS) cross-sectionally and longitudinally while adjusting for roles of anxiety and depressive symptoms. DESIGN: Eight-hundred and two help-seeking young people aged 12 to 25 years who engaged with our Australian early intervention services were included in the study (the "Transitions" cohort). Cross sectional mediation and cross-lagged longitudinal (12-month) mediation models were developed with outcomes being different APS domains. RESULTS: Only baseline excessive daytime sleepiness predicted later APS when accounting for previous APS, anxiety and depressive symptomatology. Cross sectionally, self-reported sleep disturbance showed both direct and indirect predictive relationships with all APS domains. Partial mediation through anxiety and depression was shown for unusual thought content, perceptual abnormalities, and disorganised speech, while full mediation through depression was shown for non-bizarre ideas. CONCLUSIONS: The specificity of the relationship between self-reported sleep disturbance on APS highlights the potential for different roles in mechanistic models of psychotic symptom expression. This further indicates the need for further experimental research to illuminate potential causal pathways. Future research should continue to use continuous, symptom level approaches across a range of timeframes to more accurately model the complex dynamics present in the sleep-psychosis relationship.