Centre for Youth Mental Health - Research Publications

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    Multi-site benchmark classification of major depressive disorder using machine learning on cortical and subcortical measures.
    Belov, V ; Erwin-Grabner, T ; Aghajani, M ; Aleman, A ; Amod, AR ; Basgoze, Z ; Benedetti, F ; Besteher, B ; Bülow, R ; Ching, CRK ; Connolly, CG ; Cullen, K ; Davey, CG ; Dima, D ; Dols, A ; Evans, JW ; Fu, CHY ; Gonul, AS ; Gotlib, IH ; Grabe, HJ ; Groenewold, N ; Hamilton, JP ; Harrison, BJ ; Ho, TC ; Mwangi, B ; Jaworska, N ; Jahanshad, N ; Klimes-Dougan, B ; Koopowitz, S-M ; Lancaster, T ; Li, M ; Linden, DEJ ; MacMaster, FP ; Mehler, DMA ; Melloni, E ; Mueller, BA ; Ojha, A ; Oudega, ML ; Penninx, BWJH ; Poletti, S ; Pomarol-Clotet, E ; Portella, MJ ; Pozzi, E ; Reneman, L ; Sacchet, MD ; Sämann, PG ; Schrantee, A ; Sim, K ; Soares, JC ; Stein, DJ ; Thomopoulos, SI ; Uyar-Demir, A ; van der Wee, NJA ; van der Werff, SJA ; Völzke, H ; Whittle, S ; Wittfeld, K ; Wright, MJ ; Wu, M-J ; Yang, TT ; Zarate, C ; Veltman, DJ ; Schmaal, L ; Thompson, PM ; Goya-Maldonado, R ; ENIGMA Major Depressive Disorder working group, (Springer Science and Business Media LLC, 2024-01-11)
    Machine learning (ML) techniques have gained popularity in the neuroimaging field due to their potential for classifying neuropsychiatric disorders. However, the diagnostic predictive power of the existing algorithms has been limited by small sample sizes, lack of representativeness, data leakage, and/or overfitting. Here, we overcome these limitations with the largest multi-site sample size to date (N = 5365) to provide a generalizable ML classification benchmark of major depressive disorder (MDD) using shallow linear and non-linear models. Leveraging brain measures from standardized ENIGMA analysis pipelines in FreeSurfer, we were able to classify MDD versus healthy controls (HC) with a balanced accuracy of around 62%. But after harmonizing the data, e.g., using ComBat, the balanced accuracy dropped to approximately 52%. Accuracy results close to random chance levels were also observed in stratified groups according to age of onset, antidepressant use, number of episodes and sex. Future studies incorporating higher dimensional brain imaging/phenotype features, and/or using more advanced machine and deep learning methods may yield more encouraging prospects.
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    An analysis of real-time suicidal ideation and its relationship with retrospective reports among young people with borderline personality disorder
    Andrewes, HE ; Cavelti, M ; Hulbert, C ; Cotton, SM ; Betts, JK ; Jackson, HJ ; McCutcheon, L ; Gleeson, J ; Davey, CG ; Chanen, AM (WILEY, 2024-02-20)
    INTRODUCTION: This study aimed to analyze the real-time variability of suicidal ideation intensity and the relationship between real-time and retrospective reports of suicidal ideation made on the Beck Scale for Suicidal Ideation (BSS), among young people with borderline personality disorder (BPD). METHODS: Young people (15-25-year olds) with BPD (N = 46), recruited from two government-funded mental health services, rated the intensity of their suicidal ideation six times per day for 7 days before completing the BSS. RESULTS: For 70% of participants, suicidal ideation changed in intensity approximately five times across the week, both within and between days. BSS ratings were most highly correlated with the highest real-time ratings of suicidal ideation. However, this was not significantly different from the relationship between the BSS and both the average and most recent ratings. Median ratings of suicidal ideation intensity were higher on the BSS compared with an equivalent question asked in real time. CONCLUSION: Findings suggest that young people with BPD experience high levels of fluctuation in their intensity of suicidal ideation across a week and that retrospective reports of suicidal ideation might be more reflective of the most intense experience of suicidal ideation across the week.
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    The Study of Ketamine for Youth Depression (SKY-D): study protocol for a randomised controlled trial of low-dose ketamine for young people with major depressive disorder
    Schwartz, OS ; Amminger, P ; Baune, BT ; Bedi, G ; Berk, M ; Cotton, SM ; Daglas-Georgiou, R ; Glozier, N ; Harrison, B ; Hermens, DF ; Jennings, E ; Lagopoulos, J ; Loo, C ; Mallawaarachchi, S ; Martin, D ; Phelan, B ; Read, N ; Rodgers, A ; Schmaal, L ; Somogyi, AA ; Thurston, L ; Weller, A ; Davey, CG (BMC, 2023-10-24)
    BACKGROUND: Existing treatments for young people with severe depression have limited effectiveness. The aim of the Study of Ketamine for Youth Depression (SKY-D) trial is to determine whether a 4-week course of low-dose subcutaneous ketamine is an effective adjunct to treatment-as-usual in young people with major depressive disorder (MDD). METHODS: SKY-D is a double-masked, randomised controlled trial funded by the Australian Government's National Health and Medical Research Council (NHMRC). Participants aged between 16 and 25 years (inclusive) with moderate-to-severe MDD will be randomised to receive either low-dose ketamine (intervention) or midazolam (active control) via subcutaneous injection once per week for 4 weeks. The primary outcome is change in depressive symptoms on the Montgomery-Åsberg Depression Rating Scale (MADRS) after 4 weeks of treatment. Further follow-up assessment will occur at 8 and 26 weeks from treatment commencement to determine whether treatment effects are sustained and to investigate safety outcomes. DISCUSSION: Results from this trial will be important in determining whether low-dose subcutaneous ketamine is an effective treatment for young people with moderate-to-severe MDD. This will be the largest randomised trial to investigate the effects of ketamine to treat depression in young people. TRIAL REGISTRATION: Australian and New Zealand Clinical Trials Registry ID: ACTRN12619000683134. Registered on May 7, 2019. https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=377513 .
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    Predictors of suicidal ideation severity among treatment-seeking young people with major depressive disorder: The role of state and trait anxiety
    Moller, C ; Badcock, PB ; Hetrick, SE ; Rice, S ; Berk, M ; Witt, K ; Chanen, AM ; Dean, OM ; Gao, C ; Cotton, SM ; Davey, CG (SAGE PUBLICATIONS LTD, 2023-08)
    OBJECTIVE: Depression and suicidal ideation are closely intertwined. Yet, among young people with depression, the specific factors that contribute to changes in suicidal ideation over time are uncertain. Factors other than depressive symptom severity, such as comorbid psychopathology and personality traits, might be important contributors. Our aim was to identify contributors to fluctuations in suicidal ideation severity over a 12-week period in young people with major depressive disorder receiving cognitive behavioural therapy. METHODS: Data were drawn from two 12-week randomised, placebo-controlled treatment trials. Participants (N = 283) were 15-25 years old, with moderate to severe major depressive disorder. The primary outcome measure was the Suicidal Ideation Questionnaire, administered at baseline and weeks 4, 8 and 12. A series of linear mixed models was conducted to examine the relationship between Suicidal Ideation Questionnaire score and demographic characteristics, comorbid psychopathology, personality traits and alcohol use. RESULTS: Depression and anxiety symptom severity, and trait anxiety, independently predicted higher suicidal ideation, after adjusting for the effects of time, demographics, affective instability, non-suicidal self-injury and alcohol use. CONCLUSIONS: Both state and trait anxiety are important longitudinal correlates of suicidal ideation in depressed young people receiving cognitive behavioural therapy, independent of depression severity. Reducing acute psychological distress, through reducing depression and anxiety symptom severity, is important, but interventions aimed at treating trait anxiety could also potentially be an effective intervention approach for suicidal ideation in young people with depression.
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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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    Regional, circuit and network heterogeneity of brain abnormalities in psychiatric disorders
    Segal, A ; Parkes, L ; Aquino, K ; Kia, SM ; Wolfers, T ; Franke, B ; Hoogman, M ; Beckmann, CF ; Westlye, LT ; Andreassen, OA ; Zalesky, A ; Harrison, BJ ; Davey, CG ; Soriano-Mas, C ; Cardoner, N ; Tiego, J ; Yucel, M ; Braganza, L ; Suo, C ; Berk, M ; Cotton, S ; Bellgrove, MA ; Marquand, AF ; Fornito, A (Nature Research, 2023-09)
    The substantial individual heterogeneity that characterizes people with mental illness is often ignored by classical case-control research, which relies on group mean comparisons. Here we present a comprehensive, multiscale characterization of the heterogeneity of gray matter volume (GMV) differences in 1,294 cases diagnosed with one of six conditions (attention-deficit/hyperactivity disorder, autism spectrum disorder, bipolar disorder, depression, obsessive-compulsive disorder and schizophrenia) and 1,465 matched controls. Normative models indicated that person-specific deviations from population expectations for regional GMV were highly heterogeneous, affecting the same area in <7% of people with the same diagnosis. However, these deviations were embedded within common functional circuits and networks in up to 56% of cases. The salience-ventral attention system was implicated transdiagnostically, with other systems selectively involved in depression, bipolar disorder, schizophrenia and attention-deficit/hyperactivity disorder. Phenotypic differences between cases assigned the same diagnosis may thus arise from the heterogeneous localization of specific regional deviations, whereas phenotypic similarities may be attributable to the dysfunction of common functional circuits and networks.
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    A brain model of altered self-appraisal in social anxiety disorder.
    Jamieson, AJ ; Harrison, BJ ; Delahoy, R ; Schmaal, L ; Felmingham, KL ; Phillips, L ; Davey, CG (Springer Science and Business Media LLC, 2023-11-11)
    The brain's default mode network has a central role in the processing of information concerning oneself. Dysfunction in this self-referential processing represents a key component of multiple mental health conditions, particularly social anxiety disorder (SAD). This case-control study aimed to clarify alterations to network dynamics present during self-appraisal in SAD participants. A total of 38 adolescents and young adults with SAD and 72 healthy control participants underwent a self-referential processing fMRI task. The task involved two primary conditions of interest: direct self-appraisal (thinking about oneself) and reflected self-appraisal (thinking about how others might think about oneself). Dynamic causal modeling and parametric empirical Bayes were then used to explore differences in the effective connectivity of the default mode network between groups. We observed connectivity differences between SAD and healthy control participants in the reflected self-appraisal but not the direct self-appraisal condition. Specifically, SAD participants exhibited greater excitatory connectivity from the posterior cingulate cortex (PCC) to medial prefrontal cortex (MPFC) and greater inhibitory connectivity from the inferior parietal lobule (IPL) to MPFC. In contrast, SAD participants exhibited reduced intrinsic connectivity in the absence of task modulation. This was illustrated by reduced excitatory connectivity from the PCC to MPFC and reduced inhibitory connectivity from the IPL to MPFC. As such, participants with SAD showed changes to afferent connections to the MPFC which occurred during both reflected self-appraisal as well as intrinsically. The presence of connectivity differences in reflected and not direct self-appraisal is consistent with the characteristic fear of negative social evaluation that is experienced by people with SAD.
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    The Addition of Fish Oil to Cognitive Behavioral Case Management for Youth Depression: A Randomized, Double-Blind, Placebo-Controlled, Multicenter Clinical Trial
    Amminger, GP ; Rice, S ; Davey, CG ; Quinn, AL ; Hermens, DF ; Zmicerevska, N ; Nichles, A ; Hickie, I ; Incerti, L ; Weller, A ; Joseph, S ; Hilton, Z ; Pugh, C ; Rayner, M ; Reid, N ; Ratheesh, A ; Yung, AR ; Yuen, HP ; Mackinnon, A ; Hetrick, S ; Parker, A ; Street, R ; Berger, M ; Berk, M ; McGorry, PD ; Lin, A (ELSEVIER SCIENCE INC, 2024-03-01)
    BACKGROUND: Clinical trials suggest that long-chain omega-3 polyunsaturated fatty acids (n-3 PUFAs) (fish oil) may reduce depressive symptoms in adults with major depressive disorder. Therefore, n-3 PUFAs may be a potential treatment for depression in youth. METHODS: Participants were 15- to-25 year-old individuals with major depressive disorder who sought care in one of three government-funded mental health services for young people in metropolitan Melbourne, Perth, or Sydney, Australia. Participants were randomly assigned in a double-blind, parallel-arm design to receive either fish oil (840 mg of eicosapentaenoic acid and 560 mg of docosahexaenoic acid) or placebo capsules as adjunct to cognitive behavioral case management. All participants were offered 50-minute cognitive behavioral case management sessions every 2 weeks delivered by qualified therapists (treatment as usual) at the study sites during the intervention period. The primary outcome was change in the interviewer-rated Quick Inventory of Depressive Symptomatology, Adolescent Version, score at 12 weeks. Erythrocyte n-3 PUFA levels were assessed pre-post intervention. RESULTS: A total of 233 young people were randomized to the treatment arms: 115 participants to the n-3 PUFA group and 118 to the placebo group. Mean change from baseline in the Quick Inventory of Depressive Symptomatology score was -5.8 in the n-3 PUFA group and -5.6 in the placebo group (mean difference, 0.2; 95% CI, -1.1 to 1.5; p = .75). Erythrocyte PUFA levels were not associated with depression severity at any time point. The incidence and severity of adverse events were similar in the two groups. CONCLUSIONS: This placebo-controlled trial and biomarker analysis found no evidence to support the use of fish oil for treatment in young people with major depressive disorder.
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    Cannabidiol for Treatment-Resistant Anxiety Disorders in Young People: An Open-Label Trial
    Berger, M ; Li, E ; Rice, S ; Davey, CG ; Ratheesh, A ; Adams, S ; Jackson, H ; Hetrick, S ; Parker, A ; Spelman, T ; Kevin, R ; McGregor, IS ; McGorry, P ; Amminger, GP (PHYSICIANS POSTGRADUATE PRESS, 2022-08-03)
    Background: Treatment resistance is a significant problem among young people experiencing moderate-to-severe anxiety, affecting nearly half of all patients. This study investigated the safety and efficacy of cannabidiol (CBD), a non-intoxicating component of Cannabis sativa, for anxiety disorders in young people who previously failed to respond to standard treatment. Methods: In this open-label trial, 31 young people aged 12-25 years with a DSM-5 anxiety disorder and no clinical improvement despite treatment with cognitive-behavioral therapy and/or antidepressant medication were enrolled between May 16, 2018, and June 28, 2019. All participants received add-on CBD for 12 weeks on a fixed-flexible schedule titrated up to 800 mg/d. The primary outcome was improvement in anxiety severity, measured with the Overall Anxiety Severity and Impairment Scale (OASIS), at week 12. Secondary outcomes included comorbid depressive symptoms, Clinical Global Impressions scale (CGI) score, and social and occupational functioning. Results: Mean (SD) OASIS scores decreased from 10.8 (3.8) at baseline to 6.3 (4.5) at week 12, corresponding to a -42.6% reduction (P < .0001). Depressive symptoms (P < .0001), CGI-Severity scale scores (P = .0008), and functioning (P = .04) improved significantly. Adverse events were reported in 25 (80.6%) of 31 participants and included fatigue, low mood, and hot flushes or cold chills. There were no serious and/or unexpected adverse events. Conclusions: These findings suggest that CBD can reduce anxiety severity and has an adequate safety profile in young people with treatment-resistant anxiety disorders. Randomized controlled trials are needed to confirm the efficacy and longer-term safety of this compound. Trial Registration: New Zealand Clinical Trials Registry (ANZCTR) identifier: ACTRN12617000825358.
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    Assessing Suicidal Ideation in Young People With Depression: Factor Structure of the Suicidal Ideation Questionnaire
    Moller, C ; Badcock, PB ; Hetrick, SE ; Rice, S ; Berk, M ; Dean, OM ; Chanen, AM ; Gao, C ; Davey, CG ; Cotton, SM (SAGE PUBLICATIONS INC, 2022-09-06)
    Evaluating suicidal ideation in young people seeking mental health treatment is an important component of clinical assessment and treatment planning. To reduce the burden of youth suicide, we need to improve our understanding of suicidal ideation, its underlying constructs, and how ideation translates into suicidal behaviour. Using exploratory factor analysis, we investigated the dimensionality of the Suicidal Ideation Questionnaire (SIQ) among 273 participants aged 15-25 with Major Depressive Disorder. Area under the receiver operating characteristic curve (AUROC) analysis was used to explore associations between latent factors and actual suicidal behaviour. Findings suggested that the SIQ assesses multiple factors underlying suicidal ideation. AUROC analyses demonstrated that latent factors relating to both active and passive suicidal ideation predicted past-month suicidal behaviour and suicide attempt. These findings contribute to an improved understanding of the complexities of suicidal ideation and relationships with suicidal behaviour in young people with depression.