Centre for Youth Mental Health - Research Publications

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    Association of Structural Magnetic Resonance Imaging Measures With Psychosis Onset in Individuals at Clinical High Risk for Developing Psychosis An ENIGMA Working Group Mega-analysis
    Jalbrzikowski, M ; Hayes, RA ; Wood, SJ ; Nordholm, D ; Zhou, JH ; Fusar-Poli, P ; Uhlhaas, PJ ; Takahashi, T ; Sugranyes, G ; Kwak, YB ; Mathalon, DH ; Katagiri, N ; Hooker, CI ; Smigielski, L ; Colibazzi, T ; Via, E ; Tang, J ; Koike, S ; Rasser, PE ; Michel, C ; Lebedeva, I ; Hegelstad, WTV ; de la Fuente-Sandoval, C ; Waltz, JA ; Mizrahi, R ; Corcoran, CM ; Resch, F ; Tamnes, CK ; Haas, SS ; Lemmers-Jansen, ILJ ; Agartz, I ; Allen, P ; Amminger, GP ; Andreassen, OA ; Atkinson, K ; Bachman, P ; Baeza, I ; Baldwin, H ; Bartholomeusz, CF ; Borgwardt, S ; Catalano, S ; Chee, MWL ; Chen, X ; Cho, KIK ; Cooper, RE ; Cropley, VL ; Dolz, M ; Ebdrup, BH ; Fortea, A ; Glenthoj, LB ; Glenthoj, BY ; de Haan, L ; Hamilton, HK ; Harris, MA ; Haut, KM ; He, Y ; Heekeren, K ; Heinz, A ; Hubl, D ; Hwang, WJ ; Kaess, M ; Kasai, K ; Kim, M ; Kindler, J ; Klaunig, MJ ; Koppel, A ; Kristensen, TD ; Kwon, JS ; Lawrie, SM ; Lee, J ; Leon-Ortiz, P ; Lin, A ; Loewy, RL ; Ma, X ; McGorry, P ; McGuire, P ; Mizuno, M ; Moller, P ; Moncada-Habib, T ; Munoz-Samons, D ; Nelson, B ; Nemoto, T ; Nordentoft, M ; Omelchenko, MA ; Oppedal, K ; Ouyang, L ; Pantelis, C ; Pariente, JC ; Raghava, JM ; Reyes-Madrigal, F ; Roach, BJ ; Rossberg, JI ; Rossler, W ; Salisbury, DF ; Sasabayashi, D ; Schall, U ; Schiffman, J ; Schlagenhauf, F ; Schmidt, A ; Sorensen, ME ; Suzuki, M ; Theodoridou, A ; Tomyshev, AS ; Tor, J ; Vaernes, TG ; Velakoulis, D ; Venegoni, GD ; Vinogradov, S ; Wenneberg, C ; Westlye, LT ; Yamasue, H ; Yuan, L ; Yung, AR ; van Amelsvoort, TAMJ ; Turner, JA ; van Erp, TGM ; Thompson, PM ; Hernaus, D (AMER MEDICAL ASSOC, 2021-07)
    IMPORTANCE: The ENIGMA clinical high risk (CHR) for psychosis initiative, the largest pooled neuroimaging sample of individuals at CHR to date, aims to discover robust neurobiological markers of psychosis risk. OBJECTIVE: To investigate baseline structural neuroimaging differences between individuals at CHR and healthy controls as well as between participants at CHR who later developed a psychotic disorder (CHR-PS+) and those who did not (CHR-PS-). DESIGN, SETTING, AND PARTICIPANTS: In this case-control study, baseline T1-weighted magnetic resonance imaging (MRI) data were pooled from 31 international sites participating in the ENIGMA Clinical High Risk for Psychosis Working Group. CHR status was assessed using the Comprehensive Assessment of At-Risk Mental States or Structured Interview for Prodromal Syndromes. MRI scans were processed using harmonized protocols and analyzed within a mega-analysis and meta-analysis framework from January to October 2020. MAIN OUTCOMES AND MEASURES: Measures of regional cortical thickness (CT), surface area, and subcortical volumes were extracted from T1-weighted MRI scans. Independent variables were group (CHR group vs control group) and conversion status (CHR-PS+ group vs CHR-PS- group vs control group). RESULTS: Of the 3169 included participants, 1428 (45.1%) were female, and the mean (SD; range) age was 21.1 (4.9; 9.5-39.9) years. This study included 1792 individuals at CHR and 1377 healthy controls. Using longitudinal clinical information, 253 in the CHR-PS+ group, 1234 in the CHR-PS- group, and 305 at CHR without follow-up data were identified. Compared with healthy controls, individuals at CHR exhibited widespread lower CT measures (mean [range] Cohen d = -0.13 [-0.17 to -0.09]), but not surface area or subcortical volume. Lower CT measures in the fusiform, superior temporal, and paracentral regions were associated with psychosis conversion (mean Cohen d = -0.22; 95% CI, -0.35 to 0.10). Among healthy controls, compared with those in the CHR-PS+ group, age showed a stronger negative association with left fusiform CT measures (F = 9.8; P < .001; q < .001) and left paracentral CT measures (F = 5.9; P = .005; q = .02). Effect sizes representing lower CT associated with psychosis conversion resembled patterns of CT differences observed in ENIGMA studies of schizophrenia (ρ = 0.35; 95% CI, 0.12 to 0.55; P = .004) and individuals with 22q11.2 microdeletion syndrome and a psychotic disorder diagnosis (ρ = 0.43; 95% CI, 0.20 to 0.61; P = .001). CONCLUSIONS AND RELEVANCE: This study provides evidence for widespread subtle, lower CT measures in individuals at CHR. The pattern of CT measure differences in those in the CHR-PS+ group was similar to those reported in other large-scale investigations of psychosis. Additionally, a subset of these regions displayed abnormal age associations. Widespread disruptions in CT coupled with abnormal age associations in those at CHR may point to disruptions in postnatal brain developmental processes.
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    Preventive interventions for individuals at ultra high risk for psychosis: An updated and extended meta-analysis
    Mei, C ; van der Gaag, M ; Nelson, B ; Smit, F ; Yuen, HP ; Berger, M ; Krcmar, M ; French, P ; Amminger, GP ; Bechdolf, A ; Cuijpers, P ; Yung, AR ; McGorry, PD (PERGAMON-ELSEVIER SCIENCE LTD, 2021-06)
    Intervention at the earliest illness stage, in ultra or clinical high-risk individuals, or indicated prevention, currently represents the most promising strategy to ameliorate, delay or prevent psychosis. We review the current state of evidence and conduct a broad-spectrum meta-analysis of various outcomes: transition to psychosis, attenuated positive and negative psychotic symptoms, mania, depression, anxiety, general psychopathology, symptom-related distress, functioning, quality of life, and treatment acceptability. 26 randomized controlled trials were included. Meta-analytically pooled interventions reduced transition rate (risk ratio [RR] = 0.57, 95%CI 0.41-0.81) and attenuated positive psychotic symptoms at 12-months (standardized mean difference = -0.15, 95%CI = -0.28--0.01). When stratified by intervention type (pharmacological, psychological), only the pooled effect of psychological interventions on transition rate was significant. Cognitive behavioral therapy (CBT) was associated with a reduction in incidence at 12-months (RR = 0.52, 95%CI = 0.33-0.82) and 18-48-months (RR = 0.60, 95%CI = 0.42-0.84), but not 6-months. Findings at 12-months and 18-48-months were robust in sensitivity and subgroup analyses. All other outcomes were non-significant. To date, effects of trialed treatments are specific to transition and, a lesser extent, attenuated positive symptoms, highlighting the future need to target other symptom domains and functional outcomes. Sound evidence supports CBT in reducing transition and the value of intervening at this illness stage. STUDY REGISTRATION: Research Registry ID: reviewregistry907.
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    The associations between migrant status and ethnicity and the identification of individuals at ultra-high risk for psychosis and transition to psychosis: a systematic review
    Moore, D ; Castagnini, E ; Mifsud, N ; Geros, H ; Sizer, H ; Addington, J ; van der Gaag, M ; Nelson, B ; McGorry, P ; O'Donoghue, B (SPRINGER HEIDELBERG, 2021-11)
    PURPOSE: Migrant and ethnic minority populations exhibit a higher incidence of psychotic disorders. The Ultra-High Risk for psychosis (UHR) paradigm provides an opportunity to explore the stage at which such factors influence the development of psychosis. In this systematic review, we collate and appraise the literature on the association between ethnicity and migrant status and the rate of identification of individuals at UHR, as well as their rate of transition to psychosis. METHODS: We conducted a systematic review in the Ovid Medline, PsychINFO, Pubmed, CINAHL and EMBASE databases according to PRISMA guidelines. We included studies written in English that included an UHR cohort, provided a measure of ethnicity or migrant status, and examined the incidence, rate, or risk of UHR identification or transition to psychosis. RESULTS: Of 2182 unique articles identified, seven fulfilled the criteria. One study found overrepresentation of UHR individuals from black ethnic groups, while another found underrepresentation. Two studies found increased rates of transition among certain ethnic groups and a further two found no association. Regarding migrant status, one study found that first-generation migrants were underrepresented in an UHR sample. Lastly, a lower transition rate in migrant populations was identified in one study, while two found no association. CONCLUSION: Rates of UHR identification and transition according to ethnic and migrant status were inconsistent and insufficient to conclusively explain higher incidences of psychotic disorders among these groups. We discuss the clinical implications and avenues for future research, which is required to clarify the nature of the associations.
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    Cognitive functioning throughout adulthood and illness stages in individuals with psychotic disorders and their unaffected siblings
    Velthorst, E ; Mollon, J ; Murray, RM ; de Haan, L ; Germeys, IM ; Glahn, DC ; Arango, C ; van der Ven, E ; Di Forti, M ; Bernardo, M ; Guloksuz, S ; Delespaul, P ; Mezquida, G ; Amoretti, S ; Bobes, J ; Saiz, PA ; Garcia-Portilla, MP ; Santos, JL ; Jimenez-Lopez, E ; Sanjuan, J ; Aguilar, EJ ; Arrojo, M ; Carracedo, A ; Lopez, G ; Gonzalez-Penas, J ; Parellada, M ; Atbasoglu, C ; Saka, MC ; Ucok, A ; Alptekin, K ; Akdede, B ; Binbay, T ; Altinyazar, V ; Ulas, H ; Yalincetin, B ; Gumus-Akay, G ; Beyaz, BC ; Soygur, H ; Cankurtaran, ES ; Kaymak, SU ; Maric, NP ; Mihaljevic, MM ; Petrovic, SA ; Mirjanic, T ; Del-Ben, CM ; Ferraro, L ; Gayer-Anderson, C ; Jones, PB ; Jongsma, HE ; Kirkbride, JB ; La Cascia, C ; Lasalvia, A ; Tosato, S ; Llorca, P-M ; Menezes, PR ; Morgan, C ; Quattrone, D ; Menchetti, M ; Selten, J-P ; Szoke, A ; Tarricone, I ; Tortelli, A ; McGuire, P ; Valmaggia, L ; Kempton, MJ ; van der Gaag, M ; Riecher-Rossler, A ; Bressan, RA ; Barrantes-Vidal, N ; Nelson, B ; McGorry, P ; Pantelis, C ; Krebs, M-O ; Ruhrmann, S ; Sachs, G ; Rutten, BPF ; van Os, J ; Alizadeh, BZ ; van Amelsvoort, T ; Bartels-Velthuis, AA ; Bruggeman, R ; van Beveren, NJ ; Luykx, JJ ; Cahn, W ; Simons, CJP ; Kahn, RS ; Schirmbeck, F ; van Winkel, R ; Reichenberg, A (SPRINGERNATURE, 2021-08)
    Important questions remain about the profile of cognitive impairment in psychotic disorders across adulthood and illness stages. The age-associated profile of familial impairments also remains unclear, as well as the effect of factors, such as symptoms, functioning, and medication. Using cross-sectional data from the EU-GEI and GROUP studies, comprising 8455 participants aged 18 to 65, we examined cognitive functioning across adulthood in patients with psychotic disorders (n = 2883), and their unaffected siblings (n = 2271), compared to controls (n = 3301). An abbreviated WAIS-III measured verbal knowledge, working memory, visuospatial processing, processing speed, and IQ. Patients showed medium to large deficits across all functions (ES range = -0.45 to -0.73, p < 0.001), while siblings showed small deficits on IQ, verbal knowledge, and working memory (ES = -0.14 to -0.33, p < 0.001). Magnitude of impairment was not associated with participant age, such that the size of impairment in older and younger patients did not significantly differ. However, first-episode patients performed worse than prodromal patients (ES range = -0.88 to -0.60, p < 0.001). Adjusting for cannabis use, symptom severity, and global functioning attenuated impairments in siblings, while deficits in patients remained statistically significant, albeit reduced by half (ES range = -0.13 to -0.38, p < 0.01). Antipsychotic medication also accounted for around half of the impairment in patients (ES range = -0.21 to -0.43, p < 0.01). Deficits in verbal knowledge, and working memory may specifically index familial, i.e., shared genetic and/or shared environmental, liability for psychotic disorders. Nevertheless, potentially modifiable illness-related factors account for a significant portion of the cognitive impairment in psychotic disorders.
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    The association between migrant status and transition in an ultra-high risk for psychosis population
    O'Donoghue, B ; Geros, H ; Sizer, H ; Addington, J ; Amminger, GP ; Beaden, CE ; Cadenhead, KS ; Cannon, TD ; Cornblatt, BA ; Berger, GE ; Chen, EYH ; de Haan, L ; Hartmann, JA ; Hickie, IB ; Ising, HK ; Lavoie, S ; Lin, A ; Markulev, C ; Mathalon, DH ; McGlashan, TH ; Mifsud, NG ; Mossaheb, N ; Nieman, DH ; Nordentoft, M ; Perkins, DO ; Riecher-Roessler, A ; Schaefer, MR ; Schloegelhofer, M ; Seidman, LJ ; Smesny, S ; Thompson, A ; Tsuang, MT ; van der Gaag, M ; Verma, S ; Walker, EF ; Wood, SJ ; Woods, SW ; Yuen, HP ; Yung, AR ; McGorry, PD ; Nelson, B (SPRINGER HEIDELBERG, 2021-06)
    PURPOSE: Migrant status is one of the most replicated and robust risk factors for developing a psychotic disorder. This study aimed to determine whether migrant status in people identified as Ultra-High Risk for Psychosis (UHR) was associated with risk of transitioning to a full-threshold psychotic disorder. METHODS: Hazard ratios for the risk of transition were calculated from five large UHR cohorts (n = 2166) and were used to conduct a meta-analysis using the generic inverse-variance method using a random-effects model. RESULTS: 2166 UHR young people, with a mean age of 19.1 years (SD ± 4.5) were included, of whom 221 (10.7%) were first-generation migrants. A total of 357 young people transitioned to psychosis over a median follow-up time of 417 days (I.Q.R.147-756 days), representing 17.0% of the cohort. The risk of transition to a full-threshold disorder was not increased for first-generation migrants, (HR = 1.08, 95% CI 0.62-1.89); however, there was a high level of heterogeneity between studies The hazard ratio for second-generation migrants to transition to a full-threshold psychotic disorder compared to the remainder of the native-born population was 1.03 (95% CI 0.70-1.51). CONCLUSIONS: This meta-analysis did not find a statistically significant association between migrant status and an increased risk for transition to a full-threshold psychotic disorder; however, several methodological issues could explain this finding. Further research should focus on examining the risk of specific migrant groups and also ensuring that migrant populations are adequately represented within UHR clinics.
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    Pre-training inter-rater reliability of clinical instruments in an international psychosis research project
    Berendsen, S ; Kapitein, P ; Schirmbeck, F ; van Tricht, MJ ; McGuire, P ; Morgan, C ; Gayer-Anderson, C ; Kempton, MJ ; Valmaggia, L ; Quattrone, D ; di Forti, M ; van der Gaag, M ; Kirkbride, JB ; Jongsma, HE ; Jones, PB ; Parellada, M ; Arango, C ; Arrojo, M ; Bernardo, M ; Sanjuan, J ; Santos, JL ; Szoke, A ; Tortelli, A ; Llorca, P-M ; Tarricone, I ; Tripoli, G ; Ferraro, L ; La Cascia, C ; Lasalvia, A ; Tosato, S ; Menezes, PR ; Del-Ben, CM ; Nelson, B ; Riecher-Rossler, A ; Bressan, R ; Barrantes-Vidal, N ; Krebs, M-O ; Nordentoft, M ; Ruhrmann, S ; Sachs, G ; Rutten, BPF ; van Os, J ; Velthorst, E ; de Haan, L (ELSEVIER, 2021-04)
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    Momentary Manifestations of Negative Symptoms as Predictors of Clinical Outcomes in People at High Risk for Psychosis: Experience Sampling Study
    Paetzold, I ; Hermans, KSFM ; Schick, A ; Nelson, B ; Velthorst, E ; Schirmbeck, F ; van Os, J ; Morgan, C ; Gaag, MVD ; de Haan, L ; Valmaggia, L ; McGuire, P ; Kempton, M ; Myin-Germeys, I ; Reininghaus, U (JMIR PUBLICATIONS, INC, 2021-11-01)
    BACKGROUND: Negative symptoms occur in individuals at ultrahigh risk (UHR) for psychosis. Although there is evidence that observer ratings of negative symptoms are associated with level of functioning, the predictive value of subjective experience in daily life for individuals at UHR has not been studied yet. OBJECTIVE: This study therefore aims to investigate the predictive value of momentary manifestations of negative symptoms for clinical outcomes in individuals at UHR. METHODS: Experience sampling methodology was used to measure momentary manifestations of negative symptoms (blunted affective experience, lack of social drive, anhedonia, and social anhedonia) in the daily lives of 79 individuals at UHR. Clinical outcomes (level of functioning, illness severity, UHR status, and transition status) were assessed at baseline and at 1- and 2-year follow-ups. RESULTS: Lack of social drive, operationalized as greater experienced pleasantness of being alone, was associated with poorer functioning at the 2-year follow-up (b=-4.62, P=.01). Higher levels of anhedonia were associated with poorer functioning at the 1-year follow-up (b=5.61, P=.02). Higher levels of social anhedonia were associated with poorer functioning (eg, disability subscale: b=6.36, P=.006) and greater illness severity (b=-0.38, P=.045) at the 1-year follow-up. In exploratory analyses, there was evidence that individuals with greater variability of positive affect (used as a measure of blunted affective experience) experienced a shorter time to remission from UHR status at follow-up (hazard ratio=4.93, P=.005). CONCLUSIONS: Targeting negative symptoms in individuals at UHR may help to predict clinical outcomes and may be a promising target for interventions in the early stages of psychosis.
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    Greater preference for eveningness is associated with negative symptoms in an ultra-high risk for psychosis sample
    Shetty, JJ ; Nicholas, C ; Nelson, B ; McGorry, PD ; Lavoie, S ; Markulev, C ; Schafer, MR ; Thompson, A ; Yuen, HP ; Yung, AR ; Nieman, DH ; de Haan, L ; Amminger, GP ; Hartmann, JA (WILEY, 2021-12)
    AIM: Investigating biological processes in at-risk individuals may help elucidate the aetiological mechanisms underlying psychosis development, refine prediction models and improve intervention strategies. This study examined the associations between sleep disturbances, chronotype, depressive and psychotic symptoms in individuals at ultra-high risk for psychosis. METHODS: A sample of 81 ultra-high risk patients completed clinical interviews and self-report assessments of chronotype and sleep during the Neurapro clinical trial. Mixed regression was used to investigate the cross-sectional associations between symptoms and sleep disturbances/chronotype. RESULTS: Sleep disturbances were significantly associated with increased depressive and attenuated positive psychotic symptoms. Greater preference for eveningness was significantly associated with increased negative symptoms, but not with depressive or attenuated positive psychotic symptoms. CONCLUSION: Sleep disturbances and chronotype may impact the emerging psychopathology experienced by ultra-high risk individuals. Further, the preliminary relationship observed between greater preference for eveningness and negative symptoms offers a unique opportunity to treat negative symptoms through chronobiological approaches.
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    Impact of smoking Behavior on cognitive functioning in persons at risk for psychosis and healthy controls: A longitudinal study
    van der Heijden, HS ; Schirmbeck, F ; Kempton, MJ ; van der Gaag, M ; Allot, K ; Nelson, B ; Ruhrmann, S ; de Haan, L ; Vermeulen, JM (CAMBRIDGE UNIV PRESS, 2021-09-21)
    BACKGROUND: The high prevalence of smoking in individuals who are at ultra-high risk (UHR) for psychosis is well known and moderate cognitive deficits have also been found in UHR. However, the association between smoking and cognition in UHR is unknown and longitudinal studies are lacking. METHOD: A cohort study with 330 UHR individuals and 66 controls was conducted, as part of the European network of national schizophrenia networks studying gene-environment interactions (EU-GEI). At baseline and after 6, 12, and 24 months, smoking behavior was assessed with the Composite International Diagnostic Interview and cognitive functioning with a comprehensive test battery. Linear mixed-effects analyses were used to examine the multicross-sectional and prospective associations between (change in) smoking behavior and cognitive functioning, accounting for confounding variables. RESULTS: At baseline, 53% of UHR and 27% of controls smoked tobacco. Smoking UHR and controls did not significantly differ from nonsmoking counterparts on the tested cognitive domains (speed of processing, attention/vigilance, working memory, verbal learning, or reasoning/problem solving) across different assessment times. Neither smoking cessation nor initiation was associated with a significant change in cognitive functioning in UHR. CONCLUSIONS: No associations were found between smoking and cognitive impairment in UHR nor in controls. However, the fact that one in every two UHR individuals report daily use of tobacco is alarming. Our data suggest that UHR have fewer cognitive impairments and higher smoking cessation rates compared to patients with first-episode psychosis found in literature. Implications to promote smoking cessation in the UHR stage need further investigation.
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    Characterization and prediction of clinical pathways of vulnerability to psychosis through graph signal processing
    Sandini, C ; Zoller, D ; Schneider, M ; Tarun, A ; Armondo, M ; Nelson, B ; Amminger, PG ; Yuen, HP ; Markulev, C ; Schaffer, MR ; Mossaheb, N ; Schlogelhofer, M ; Smesny, S ; Hickie, IB ; Berger, GE ; Chen, EYH ; de Haan, L ; Nieman, DH ; Nordentoft, M ; Riecher-Rossler, A ; Verma, S ; Thompson, A ; Yung, AR ; McGorry, PD ; Van De Ville, D ; Eliez, S (eLIFE SCIENCES PUBL LTD, 2021-09-27)
    Causal interactions between specific psychiatric symptoms could contribute to the heterogenous clinical trajectories observed in early psychopathology. Current diagnostic approaches merge clinical manifestations that co-occur across subjects and could significantly hinder our understanding of clinical pathways connecting individual symptoms. Network analysis techniques have emerged as alternative approaches that could help shed light on the complex dynamics of early psychopathology. The present study attempts to address the two main limitations that have in our opinion hindered the application of network approaches in the clinical setting. Firstly, we show that a multi-layer network analysis approach, can move beyond a static view of psychopathology, by providing an intuitive characterization of the role of specific symptoms in contributing to clinical trajectories over time. Secondly, we show that a Graph-Signal-Processing approach, can exploit knowledge of longitudinal interactions between symptoms, to predict clinical trajectories at the level of the individual. We test our approaches in two independent samples of individuals with genetic and clinical vulnerability for developing psychosis. Novel network approaches can allow to embrace the dynamic complexity of early psychopathology and help pave the way towards a more a personalized approach to clinical care.