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Crouse JJ, Park SH, Hermens DF, Lagopoulos J, Park M, Shin M, Carpenter JS, Scott EM, Hickie IB. Chronotype and subjective sleep quality predict white matter integrity in young people with emerging mental disorders. Eur J Neurosci 2024. [PMID: 38650167 DOI: 10.1111/ejn.16351] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 12/13/2023] [Accepted: 03/18/2024] [Indexed: 04/25/2024]
Abstract
Protecting brain health is a goal of early intervention. We explored whether sleep quality or chronotype could predict white matter (WM) integrity in emerging mental disorders. Young people (N = 364) accessing early-intervention clinics underwent assessments for chronotype, subjective sleep quality, and diffusion tensor imaging. Using machine learning, we examined whether chronotype or sleep quality (alongside diagnostic and demographic factors) could predict four measures of WM integrity: fractional anisotropy (FA), and radial, axial, and mean diffusivities (RD, AD and MD). We prioritised tracts that showed a univariate association with sleep quality or chronotype and considered predictors identified by ≥80% of machine learning (ML) models as 'important'. The most important predictors of WM integrity were demographics (age, sex and education) and diagnosis (depressive and bipolar disorders). Subjective sleep quality only predicted FA in the perihippocampal cingulum tract, whereas chronotype had limited predictive importance for WM integrity. To further examine links with mood disorders, we conducted a subgroup analysis. In youth with depressive and bipolar disorders, chronotype emerged as an important (often top-ranking) feature, predicting FA in the cingulum (cingulate gyrus), AD in the anterior corona radiata and genu of the corpus callosum, and RD in the corona radiata, anterior corona radiata, and genu of corpus callosum. Subjective quality was not important in this subgroup analysis. In summary, chronotype predicted altered WM integrity in the corona radiata and corpus callosum, whereas subjective sleep quality had a less significant role, suggesting that circadian factors may play a more prominent role in WM integrity in emerging mood disorders.
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Affiliation(s)
- Jacob J Crouse
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Shin Ho Park
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Daniel F Hermens
- Thompson Institute, University of the Sunshine Coast, Sunshine Coast, Queensland, Australia
| | - Jim Lagopoulos
- Thompson Institute, University of the Sunshine Coast, Sunshine Coast, Queensland, Australia
| | - Minji Park
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Mirim Shin
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Joanne S Carpenter
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Elizabeth M Scott
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Ian B Hickie
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
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Crouse JJ, Park SH, Byrne EM, Mitchell BL, Scott J, Medland SE, Lin T, Wray NR, Martin NG, Hickie IB. Patterns of stressful life events and polygenic scores for five mental disorders and neuroticism among adults with depression. Mol Psychiatry 2024:10.1038/s41380-024-02492-x. [PMID: 38575805 DOI: 10.1038/s41380-024-02492-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Revised: 02/08/2024] [Accepted: 02/20/2024] [Indexed: 04/06/2024]
Abstract
The dominant ('general') version of the diathesis-stress theory of depression views stressors and genetic vulnerability as independent risks. In the Australian Genetics of Depression Study (N = 14,146; 75% female), we tested whether polygenic scores (PGS) for major depression, bipolar disorder, schizophrenia, anxiety, ADHD, and neuroticism were associated with reported exposure to 32 childhood, past-year, lifetime, and accumulated stressful life events (SLEs). In false discovery rate-corrected models, the clearest PGS-SLE relationships were for the ADHD- and depression-PGSs, and to a lesser extent, the anxiety- and schizophrenia-PGSs. We describe the associations for childhood and accumulated SLEs, and the 2-3 strongest past-year/lifetime SLE associations. Higher ADHD-PGS was associated with all childhood SLEs (emotional abuse, emotional neglect, physical neglect; ORs = 1.09-1.14; p's < 1.3 × 10-5), more accumulated SLEs, and reported exposure to sudden violent death (OR = 1.23; p = 3.6 × 10-5), legal troubles (OR = 1.15; p = 0.003), and sudden accidental death (OR = 1.14; p = 0.006). Higher depression-PGS was associated with all childhood SLEs (ORs = 1.07-1.12; p's < 0.013), more accumulated SLEs, and severe human suffering (OR = 1.17; p = 0.003), assault with a weapon (OR = 1.12; p = 0.003), and living in unpleasant surroundings (OR = 1.11; p = 0.001). Higher anxiety-PGS was associated with childhood emotional abuse (OR = 1.08; p = 1.6 × 10-4), more accumulated SLEs, and serious accident (OR = 1.23; p = 0.004), physical assault (OR = 1.08; p = 2.2 × 10-4), and transportation accident (OR = 1.07; p = 0.001). Higher schizophrenia-PGS was associated with all childhood SLEs (ORs = 1.12-1.19; p's < 9.3-8), more accumulated SLEs, and severe human suffering (OR = 1.16; p = 0.003). Higher neuroticism-PGS was associated with living in unpleasant surroundings (OR = 1.09; p = 0.007) and major financial troubles (OR = 1.06; p = 0.014). A reversed pattern was seen for the bipolar-PGS, with lower odds of reported physical assault (OR = 0.95; p = 0.014), major financial troubles (OR = 0.93; p = 0.004), and living in unpleasant surroundings (OR = 0.92; p = 0.007). Genetic risk for several mental disorders influences reported exposure to SLEs among adults with moderately severe, recurrent depression. Our findings emphasise that stressors and diatheses are inter-dependent and challenge diagnosis and subtyping (e.g., reactive/endogenous) based on life events.
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Affiliation(s)
- Jacob J Crouse
- Brain and Mind Centre, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - Shin Ho Park
- Brain and Mind Centre, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - Enda M Byrne
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia
- Child Health Research Centre, The University of Queensland, Brisbane, QLD, Australia
| | - Brittany L Mitchell
- Mental Health and Neuroscience Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Jan Scott
- Brain and Mind Centre, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
- Academic Psychiatry, Institute of Neuroscience, Newcastle University, Newcastle, UK
- Norwegian University of Science and Technology, Trondheim, Norway
- Université de Paris, Paris, France
| | - Sarah E Medland
- Mental Health and Neuroscience Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Tian Lin
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia
| | - Naomi R Wray
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
- Department of Psychiatry, University of Oxford, Oxford, UK
- Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK
| | - Nicholas G Martin
- Mental Health and Neuroscience Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Ian B Hickie
- Brain and Mind Centre, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.
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Hickie IB, Crouse JJ. Sleep and circadian rhythm disturbances: plausible pathways to major mental disorders? World Psychiatry 2024; 23:150-151. [PMID: 38214638 PMCID: PMC10786001 DOI: 10.1002/wps.21154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/13/2024] Open
Affiliation(s)
- Ian B Hickie
- Youth Mental Health and Technology Team, Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
| | - Jacob J Crouse
- Youth Mental Health and Technology Team, Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
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Si S, Bi A, Yu Z, See C, Kelly S, Ambrogi S, Arango C, Baeza I, Banaj N, Berk M, Castro-Fornieles J, Crespo-Facorro B, Crouse JJ, Díaz-Caneja CM, Fett AK, Fortea A, Frangou S, Goldstein BI, Hickie IB, Janssen J, Kennedy KG, Krabbendam L, Kyriakopoulos M, MacIntosh BJ, Morgado P, Nerland S, Pascual-Diaz S, Picó-Pérez M, Piras F, Rund BR, de la Serna E, Spalletta G, Sugranyes G, Suo C, Tordesillas-Gutiérrez D, Vecchio D, Radua J, McGuire P, Thomopoulos SI, Jahanshad N, Thompson PM, Barth C, Agartz I, James A, Kempton MJ. Mapping gray and white matter volume abnormalities in early-onset psychosis: an ENIGMA multicenter voxel-based morphometry study. Mol Psychiatry 2024:10.1038/s41380-023-02343-1. [PMID: 38195979 DOI: 10.1038/s41380-023-02343-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 11/07/2023] [Accepted: 11/27/2023] [Indexed: 01/11/2024]
Abstract
INTRODUCTION Regional gray matter (GM) alterations have been reported in early-onset psychosis (EOP, onset before age 18), but previous studies have yielded conflicting results, likely due to small sample sizes and the different brain regions examined. In this study, we conducted a whole brain voxel-based morphometry (VBM) analysis in a large sample of individuals with EOP, using the newly developed ENIGMA-VBM tool. METHODS 15 independent cohorts from the ENIGMA-EOP working group participated in the study. The overall sample comprised T1-weighted MRI data from 482 individuals with EOP and 469 healthy controls. Each site performed the VBM analysis locally using the standardized ENIGMA-VBM tool. Statistical parametric T-maps were generated from each cohort and meta-analyzed to reveal voxel-wise differences between EOP and healthy controls as well as the individual-based association between GM volume and age of onset, chlorpromazine (CPZ) equivalent dose, and other clinical variables. RESULTS Compared with healthy controls, individuals with EOP showed widespread lower GM volume encompassing most of the cortex, with the most marked effect in the left median cingulate (Hedges' g = 0.55, p = 0.001 corrected), as well as small clusters of lower white matter (WM), whereas no regional GM or WM volumes were higher in EOP. Lower GM volume in the cerebellum, thalamus and left inferior parietal gyrus was associated with older age of onset. Deficits in GM in the left inferior frontal gyrus, right insula, right precentral gyrus and right superior frontal gyrus were also associated with higher CPZ equivalent doses. CONCLUSION EOP is associated with widespread reductions in cortical GM volume, while WM is affected to a smaller extent. GM volume alterations are associated with age of onset and CPZ equivalent dose but these effects are small compared to case-control differences. Mapping anatomical abnormalities in EOP may lead to a better understanding of the role of psychosis in brain development during childhood and adolescence.
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Affiliation(s)
- Shuqing Si
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom.
| | - Anbreen Bi
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
| | - Zhaoying Yu
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
| | - Cheryl See
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
| | - Sinead Kelly
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
| | - Sonia Ambrogi
- Laboratory of Neuropsychiatry, Santa Lucia Foundation IRCCS, Rome, Italy
| | - Celso Arango
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, IiSGM, CIBERSAM, Madrid, Spain
- School of Medicine, Universidad Complutense, Madrid, Spain
| | - Inmaculada Baeza
- Department of Child and Adolescent Psychiatry and Psychology, 2021SGR01319, Hospital Clinic Barcelona. CIBERSAM-ISCIII. Fundació de Recerca Clínic Barcelona - August Pi i Sunyer Biomedical Research Institute (FCRB-IDIBAPS). Institute of Neuroscience, Department of Medicine, University of Barcelona, Barcelona, Spain
| | - Nerisa Banaj
- Laboratory of Neuropsychiatry, Santa Lucia Foundation IRCCS, Rome, Italy
| | - Michael Berk
- Deakin University, Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Geelong, Australia
| | - Josefina Castro-Fornieles
- Department of Child and Adolescent Psychiatry and Psychology, 2021SGR01319, Hospital Clinic Barcelona. CIBERSAM-ISCIII. Fundació de Recerca Clínic Barcelona - August Pi i Sunyer Biomedical Research Institute (FCRB-IDIBAPS). Institute of Neuroscience, Department of Medicine, University of Barcelona, Barcelona, Spain
| | - Benedicto Crespo-Facorro
- Hospital Universitario Virgen del Rocío, Universidad de Sevilla, Department of Psychiatry, CIBERSAM, IBiS-CSIC, Sevilla, Spain
| | - Jacob J Crouse
- Brain and Mind Centre, University of Sydney, Sydney, Australia
| | - Covadonga M Díaz-Caneja
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, IiSGM, CIBERSAM, Madrid, Spain
- School of Medicine, Universidad Complutense, Madrid, Spain
| | - Anne-Kathrin Fett
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
- Department of Psychology, City, University of London, London, UK
| | - Adriana Fortea
- Department of Child and Adolescent Psychiatry and Psychology, 2021SGR01319, Hospital Clinic Barcelona. CIBERSAM-ISCIII. Fundació de Recerca Clínic Barcelona - August Pi i Sunyer Biomedical Research Institute (FCRB-IDIBAPS). Institute of Neuroscience, Department of Medicine, University of Barcelona, Barcelona, Spain
| | - Sophia Frangou
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Benjamin I Goldstein
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Pharmacology & Toxicology, University of Toronto, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, Canada
| | - Ian B Hickie
- Brain and Mind Centre, University of Sydney, Sydney, Australia
| | - Joost Janssen
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, IiSGM, CIBERSAM, Madrid, Spain
| | - Kody G Kennedy
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Pharmacology & Toxicology, University of Toronto, Toronto, ON, Canada
| | - Lydia Krabbendam
- Department of Clinical, Neuro and Developmental Psychology, Faculty of Behavioural and Movement Sciences, Institute for Brain and Behaviour (IBBA) Amsterdam, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Marinos Kyriakopoulos
- 1st Department of Psychiatry, National and Kapodistrian University of Athens, Athens, Greece
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
- South London and Maudsley NHS Foundation Trust, London, United Kingdom
| | - Bradley J MacIntosh
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Pedro Morgado
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal
- ICVS/3B's, PT Government Associate Laboratory, Braga/Guimarães, Portugal
- 2CA-Braga Cinical Academic Center, Hospital de Braga, 4710-243, Braga, Portugal
| | - Stener Nerland
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Saül Pascual-Diaz
- Laboratory of Surgical Neuroanatomy, Universitat de Barcelona, Barcelona, Spain
| | - Maria Picó-Pérez
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal
- ICVS/3B's, PT Government Associate Laboratory, Braga/Guimarães, Portugal
- Departamento de Psicología Básica, Clínica y Psicobiología, Universitat Jaume I, Castelló de la Plana, Spain
| | - Fabrizio Piras
- Laboratory of Neuropsychiatry, Santa Lucia Foundation IRCCS, Rome, Italy
| | - Bjørn Rishovd Rund
- Research Department, Vestre Viken Hospital Trust, 3004, Drammen, Norway
- Department of Psychology, University of Oslo, P. O. box 1094, Blindern, 0317, Oslo, Norway
| | - Elena de la Serna
- Department of Child and Adolescent Psychiatry and Psychology, 2021SGR01319, Hospital Clinic Barcelona. CIBERSAM-ISCIII. Fundació de Recerca Clínic Barcelona - August Pi i Sunyer Biomedical Research Institute (FCRB-IDIBAPS). Institute of Neuroscience, Department of Medicine, University of Barcelona, Barcelona, Spain
| | - Gianfranco Spalletta
- Laboratory of Neuropsychiatry, Santa Lucia Foundation IRCCS, Rome, Italy
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA
| | - Gisela Sugranyes
- Department of Child and Adolescent Psychiatry and Psychology, 2021SGR01319, Hospital Clinic Barcelona. CIBERSAM-ISCIII. Fundació de Recerca Clínic Barcelona - August Pi i Sunyer Biomedical Research Institute (FCRB-IDIBAPS). Institute of Neuroscience, Department of Medicine, University of Barcelona, Barcelona, Spain
| | - Chao Suo
- Turner Institute for Brain and Mental Health and School of Psychological Sciences, Monash University, Melbourne, VIC, Australia
| | - Diana Tordesillas-Gutiérrez
- Department of Radiology, Marqués de Valdecilla University Hospital, Valdecilla Biomedical Research Institute IDIVAL, Santander (Cantabria), Spain
- Advanced Computing and e-Science, Instituto de Física de Cantabria (UC-CSIC), Santander (Cantabria), Spain
| | - Daniela Vecchio
- Laboratory of Neuropsychiatry, Santa Lucia Foundation IRCCS, Rome, Italy
| | - Joaquim Radua
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), CIBERSAM, University of Barcelona, Barcelona, Spain
| | - Philip McGuire
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Sophia I Thomopoulos
- Imaging Genetics Center, Mark & Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Neda Jahanshad
- Imaging Genetics Center, Mark & Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Paul M Thompson
- Imaging Genetics Center, Mark & Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Claudia Barth
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Ingrid Agartz
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institute & Stockholm Health Care Services, Stockholm Region, Stockholm, Sweden
| | - Anthony James
- Department of Psychiatry, University of Oxford, Oxford, UK
- Highfield Unit, Warneford Hospital, Oxford, UK
| | - Matthew J Kempton
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
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Crouse JJ, Park SH, Byrne EM, Mitchell BL, Chan K, Scott J, Medland SE, Martin NG, Wray NR, Hickie IB. Evening chronotypes with depression report poorer outcomes of SSRIs: A survey-based study of self-ratings. Biol Psychiatry 2024:S0006-3223(24)00002-7. [PMID: 38185236 DOI: 10.1016/j.biopsych.2023.12.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Revised: 12/20/2023] [Accepted: 12/28/2023] [Indexed: 01/09/2024]
Abstract
BACKGROUND Preliminary evidence suggests evening chronotype relates to poorer efficacy of selective-serotonin reuptake inhibitors (SSRIs). It is unknown whether this is specific to particular medications, self-rated chronotype, or efficacy. METHODS In the Australian Genetics of Depression Study (N=15,108; 75% female; 18-90 years; 68% with ≥1 other lifetime diagnosis), a survey assessed experiences with 10 antidepressants and the reduced Morningness-Evening Questionnaire; a chronotype polygenic score (PGS) was calculated. Age- and sex-adjusted regression models (Bonferroni-corrected) estimated associations among antidepressants variables ("how well the antidepressant worked" [efficacy], duration of symptom improvement, side effects, discontinuation due to side effects) and self-rated and genetic chronotypes. RESULTS The chronotype-PGS explained 4% of the variance in self-rated chronotype (r=0.21). Higher self-rated eveningness was associated with poorer efficacy of escitalopram (OR=1.04; 95% CI 1.02-1.06; p=0.000035), fluoxetine (OR=1.03; 95% CI 1.01-1.05; p=0.001), sertraline (OR=1.02; 95% CI 1.01-1.04; p=0.0008), and desvenlafaxine (OR=1.03; 95% CI 1.01-1.05; p=0.004), and a profile of increased side effects (80% of those recorded; ORs=0.93-0.98), with 'difficulty getting to sleep' most likely. Self-rated chronotype was not related to duration of improvement or discontinuation due to side effects. The chronotype-PGS was only associated with suicidal thoughts and attempted suicide (self-reported). While our measures are imperfect, and not of circadian phase under controlled conditions, the model coefficients suggest that dysregulation of phenotypic chronotype relative to its genetic proxy was driving relationships with antidepressant outcomes. CONCLUSIONS The idea that variation in circadian factors influences antidepressant responses was supported and encourages exploration of circadian mechanisms of depressive disorders and antidepressant treatments.
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Affiliation(s)
- Jacob J Crouse
- Brain and Mind Centre, The University of Sydney, NSW, Australia.
| | - Shin Ho Park
- Brain and Mind Centre, The University of Sydney, NSW, Australia
| | - Enda M Byrne
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia; Child Health Research Centre, The University of Queensland, Brisbane, QLD, Australia
| | - Brittany L Mitchell
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Karina Chan
- Brain and Mind Centre, The University of Sydney, NSW, Australia
| | - Jan Scott
- Brain and Mind Centre, The University of Sydney, Australia; Institute of Neuroscience, Newcastle University, United Kingdom
| | - Sarah E Medland
- Mental Health and Neuroscience Program, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Nicholas G Martin
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Naomi R Wray
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom; Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia
| | - Ian B Hickie
- Brain and Mind Centre, The University of Sydney, NSW, Australia
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6
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Hickie IB, Iorfino F, Rohleder C, Song YJC, Nichles A, Zmicerevska N, Capon W, Guastella AJ, Leweke FM, Scott J, McGorry P, Mihalopoulos C, Killackey E, Chong MK, McKenna S, Aji M, Gorban C, Crouse JJ, Koethe D, Battisti R, Hamilton B, Lo A, Hackett ML, Hermens DF, Scott EM. EMPOWERED trial: protocol for a randomised control trial of digitally supported, highly personalised and measurement-based care to improve functional outcomes in young people with mood disorders. BMJ Open 2023; 13:e072082. [PMID: 37821139 PMCID: PMC10583041 DOI: 10.1136/bmjopen-2023-072082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 08/08/2023] [Indexed: 10/13/2023] Open
Abstract
OBJECTIVES Many adolescents and young adults with emerging mood disorders do not achieve substantial improvements in education, employment, or social function after receiving standard youth mental health care. We have developed a new model of care referred to as 'highly personalised and measurement-based care' (HP&MBC). HP&MBC involves repeated assessment of multidimensional domains of morbidity to enable continuous and personalised clinical decision-making. Although measurement-based care is common in medical disease management, it is not a standard practice in mental health. This clinical effectiveness trial tests whether HP&MBC, supported by continuous digital feedback, delivers better functional improvements than standard care and digital support. METHOD AND ANALYSIS This controlled implementation trial is a PROBE study (Prospective, Randomised, Open, Blinded End-point) that comprises a multisite 24-month, assessor-blinded, follow-up study of 1500 individuals aged 15-25 years who present for mental health treatment. Eligible participants will be individually randomised (1:1) to 12 months of HP&MBC or standardised clinical care. The primary outcome measure is social and occupational functioning 12 months after trial entry, assessed by the Social and Occupational Functioning Assessment Scale. Clinical and social outcomes for all participants will be monitored for a further 12 months after cessation of active care. ETHICS AND DISSEMINATION This clinical trial has been reviewed and approved by the Human Research Ethics Committee of the Sydney Local Health District (HREC Approval Number: X22-0042 & 2022/ETH00725, Protocol ID: BMC-YMH-003-2018, protocol version: V.3, 03/08/2022). Research findings will be disseminated through peer-reviewed journals, presentations at scientific conferences, and to user and advocacy groups. Participant data will be deidentified. TRIAL REGISTRATION NUMBER ACTRN12622000882729.
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Affiliation(s)
- Ian B Hickie
- Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Frank Iorfino
- Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Cathrin Rohleder
- Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Yun Ju Christine Song
- Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Alissa Nichles
- Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Natalia Zmicerevska
- Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - William Capon
- Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Adam J Guastella
- Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - F Markus Leweke
- Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
- Faculty of Medicine Mannheim, Psychiatry and Psychotherapy, Central Institute of Mental Health, Heidelberg University, Mannheim, Germany
| | - Jan Scott
- Newcastle University, Newcastle upon Tyne, UK
| | - Patrick McGorry
- Centre for Youth Mental Health, University of Melbourne Australia, Parkville, Victoria, Australia
- Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, Victoria, Australia
| | - Cathrine Mihalopoulos
- School of Public Health and Preventive Medicine, Monash University, Clayton, Victoria, Australia
| | - Eoin Killackey
- Centre for Youth Mental Health, University of Melbourne Australia, Parkville, Victoria, Australia
- Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, Victoria, Australia
| | - Min K Chong
- Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Sarah McKenna
- Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Melissa Aji
- Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Carla Gorban
- Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Jacob J Crouse
- Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Dagmar Koethe
- Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | | | - Blake Hamilton
- Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
- headspace Camperdown, Camperdown, New South Wales, Australia
| | - Alice Lo
- Mind Plasticity, Sydney, New South Wales, Australia
| | - Maree L Hackett
- George Institute for Global Health, Newtown, New South Wales, Australia
| | - Daniel F Hermens
- Thompson Institute, University of the Sunshine Coast, Birtinya, Queensland, Australia
| | - Elizabeth M Scott
- Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
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7
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Scott J, Crouse JJ, Medland S, Byrne E, Iorfino F, Mitchell B, Gillespie NA, Martin N, Wray N, Hickie IB. Polygenic risk scores and the prediction of onset of mood and psychotic disorders in adolescents and young adults. Early Interv Psychiatry 2023. [PMID: 37787636 DOI: 10.1111/eip.13472] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Revised: 09/02/2023] [Accepted: 09/25/2023] [Indexed: 10/04/2023]
Abstract
AIM To examine whether polygenic risk scores (PRS) for neuroticism, depression, bipolar disorder and schizophrenia are higher in individuals manifesting trans-diagnostic risk factors for the development of major mental disorders and whether PRS enhance prediction of early onset full-threshold disorders. METHODS Using data from the Brisbane Longitudinal Twin Study, we examined individual PRS for neuroticism, depression, bipolar disorder and schizophrenia, recorded evidence of subthreshold syndromes and family history of mood and/or psychotic disorders and noted progression to trans-diagnostic clinical caseness (onset of major mental disorders) at follow-up. We undertook multivariate, receiver operating curve and logistic regression analyses that were adjusted for known variables of influence (age, twin status, and so on). RESULTS Of 1473 eligible participants (female = 866, 59%; mean age 26.3 years), 28% (n = 409) met caseness criteria for a mood and/or psychotic disorder. All PRS were higher in cases versus non-cases but associations with different levels of risk were inconsistent. The prediction of caseness (reported as area under the curve with 95% confidence intervals [CI]) improved from 0.68 (95% CI: 0.65, 0.71) when estimated using clinical risk factors alone up to 0.71 (95% CI: 0.69, 0.73) when PRS were added to the model. Logistic regression identified five variables that optimally classified individuals according to caseness: age, sex, individual risk characteristics, PRS for depression and mental health case status of cotwins or siblings. CONCLUSIONS The findings need replication. However, this exploratory study suggests that combining PRS with other risk factors has the potential to improve outcome prediction in youth.
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Affiliation(s)
- Jan Scott
- Brain and Mind Centre, The University of Sydney, Sydney, Australia
- Institute of Neuroscience, Newcastle University, Newcastle, UK
| | - Jacob J Crouse
- Brain and Mind Centre, The University of Sydney, Sydney, Australia
| | - Sarah Medland
- QIMR Berghofer Institute of Medical Research, Brisbane, Australia
- Institute of Molecular Bioscience, The University of Queensland, Brisbane, Australia
| | - Enda Byrne
- QIMR Berghofer Institute of Medical Research, Brisbane, Australia
| | - Frank Iorfino
- Brain and Mind Centre, The University of Sydney, Sydney, Australia
| | | | - Nathan A Gillespie
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Nicholas Martin
- QIMR Berghofer Institute of Medical Research, Brisbane, Australia
| | - Naomi Wray
- Institute of Molecular Bioscience, The University of Queensland, Brisbane, Australia
- Queensland Brain Institute, The University of Queensland, Brisbane, Queensland, Australia
| | - Ian B Hickie
- Brain and Mind Centre, The University of Sydney, Sydney, Australia
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8
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Wilson CE, Carpenter JS, Crouse JJ, Park S, Koethe D, Scott EM, Hickie IB. Cross-sectional and longitudinal associations between cardiometabolic measures and clinical stage in young people accessing early intervention mental health services. Early Interv Psychiatry 2023; 17:893-900. [PMID: 36682384 PMCID: PMC10946614 DOI: 10.1111/eip.13381] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 09/13/2022] [Accepted: 01/02/2023] [Indexed: 01/24/2023]
Abstract
AIM This retrospective cohort study aimed to identify the cardiometabolic characteristics, cross-sectionally and longitudinally, associated with clinical stage in youth accessing early intervention mental health services. METHODS Cardiometabolic data we collected in 511 young people (aged 12-25 years at entry) receiving mental health care at the early intervention services in Sydney, Australia. RESULTS The majority of young people (N = 448, 87.67%) were classified in stage 1a or 1b at entry. At entry to care, there was no cross-sectional relationship between clinical stage and age, gender, fasting insulin, fasting glucose, updated homeostatic model assessment for insulin resistance (HOMA2-IR) score, BMI or waist circumference. Of the 111 (21.7%) young people initially classified at stage 1a ('non-specific symptoms') and the 337 (65.9%) classified in stage 1b ('attenuated syndromes'), 40 individuals transitioned to stage 2+ (7.8%) ("full-threshold disorders") longitudinally. No cardiometabolic factors predicted clinical stage transitions. However, those with an increase in BMI over the course of care (n = 54) were 1.46 (OR; 95% CI: 1.02-2.17) times more likely to progress to stage 2+ at follow up. CONCLUSIONS Whilst no relationships were found between demographic or cardiometabolic variables and clinical stage at entry to care, an increased BMI over time was associated with clinical stage transition longitudinally. Further longitudinal research is needed to understand the demographic, clinical, illness progression or treatment factors associated with changes in cardiometabolic status.
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Affiliation(s)
- Chloe E. Wilson
- Brain and Mind Centre, Youth Mental Health and Technology TeamThe University of SydneyCamperdownAustralia
| | - Joanne S. Carpenter
- Brain and Mind Centre, Youth Mental Health and Technology TeamThe University of SydneyCamperdownAustralia
| | - Jacob J. Crouse
- Brain and Mind Centre, Youth Mental Health and Technology TeamThe University of SydneyCamperdownAustralia
| | - Shin Park
- Brain and Mind Centre, Youth Mental Health and Technology TeamThe University of SydneyCamperdownAustralia
| | - Dagmar Koethe
- Brain and Mind Centre, Youth Mental Health and Technology TeamThe University of SydneyCamperdownAustralia
| | - Elizabeth M. Scott
- Brain and Mind Centre, Youth Mental Health and Technology TeamThe University of SydneyCamperdownAustralia
| | - Ian B. Hickie
- Brain and Mind Centre, Youth Mental Health and Technology TeamThe University of SydneyCamperdownAustralia
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9
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LaMonica HM, Crouse JJ, Song YJC, Alam M, Wilson CE, Hindmarsh G, Yoon A, Boulton KA, Ekambareshwar M, Loblay V, Troy J, Torwali M, Guastella AJ, Banati RB, Hickie IB. Developing Culturally Appropriate Content for a Child-Rearing App to Support Young Children's Socioemotional and Cognitive Development in Afghanistan: Co-Design Study. JMIR Form Res 2023; 7:e44267. [PMID: 37610805 PMCID: PMC10483291 DOI: 10.2196/44267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Revised: 06/24/2023] [Accepted: 07/23/2023] [Indexed: 08/24/2023] Open
Abstract
BACKGROUND Optimal child-rearing practices can help mitigate the consequences of detrimental social determinants of health in early childhood. Given the ubiquity of personal digital technologies worldwide, the direct delivery of evidence-based information about early childhood development holds great promise. However, to make the content of these novel systems effective, it is crucial to incorporate place-based cultural beliefs, traditions, circumstances, and value systems of end users. OBJECTIVE This paper describes the iterative approach used to develop the Thrive by Five child-rearing app in collaboration with Afghan parents, caregivers (eg, grandparents, aunts, and nannies), and subject matter experts (SMEs). We outline how co-design methodologies informed the development and cultural contextualization of content to meet the specific needs of Afghan parents and the content was tested and refined in collaboration with key Afghan stakeholders. METHODS The preliminary content was developed based on a comprehensive literature review of the historical and sociocultural contexts in Afghanistan, including factors that influence child-rearing practices and early childhood development. After an initial review and refinement based on feedback from SMEs, this content was populated into a beta app for testing. Overall, 8 co-design workshops were conducted in July and August 2021 and February 2022 with 39 Afghan parents and caregivers and 6 SMEs to collect their feedback on the app and its content. The workshops were audio recorded and transcribed; detailed field notes were taken by 2 scribes. A theoretical thematic analysis using semantic codes was conducted to inform the refinement of existing content and development of new content to fulfill the needs identified by participants. RESULTS The following 4 primary themes were identified: child-rearing in the Afghan sociocultural context, safety concerns, emotion and behavior management, and physical health and nutrition. Overall, participants agreed that the app had the potential to deliver valuable information to Afghan parents; however, owing to the volatility in the country, participants recommended including more activities that could be safely done indoors, as mothers and children are required to spend most of their time at home. Additionally, restrictions on public engagement in music required the removal of activities referencing singing that might be performed outside the home. Further, activities to help parents reduce their children's screen time, promote empathy, manage emotions, regulate behavior, and improve physical health and nutrition were requested. CONCLUSIONS Direct engagement with Afghan parents, caregivers, and SMEs through co-design workshops enabled the development and refinement of evidence-based, localized, and contextually relevant child-rearing activities promoting healthy social, emotional, and cognitive development during the first 5 years of children's lives. Importantly, the content was adapted for the ongoing conflict in Afghanistan with the aim of empowering Afghan parents and caregivers to support their children's developmental potential despite the security concerns and situational stressors.
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Affiliation(s)
- Haley M LaMonica
- Youth Mental Health and Technology Team, Brain and Mind Centre, The University of Sydney, Sydney, Australia
| | - Jacob J Crouse
- Youth Mental Health and Technology Team, Brain and Mind Centre, The University of Sydney, Sydney, Australia
| | - Yun J C Song
- Youth Mental Health and Technology Team, Brain and Mind Centre, The University of Sydney, Sydney, Australia
| | - Mafruha Alam
- Youth Mental Health and Technology Team, Brain and Mind Centre, The University of Sydney, Sydney, Australia
| | - Chloe E Wilson
- Youth Mental Health and Technology Team, Brain and Mind Centre, The University of Sydney, Sydney, Australia
| | - Gabrielle Hindmarsh
- Youth Mental Health and Technology Team, Brain and Mind Centre, The University of Sydney, Sydney, Australia
| | - Adam Yoon
- Youth Mental Health and Technology Team, Brain and Mind Centre, The University of Sydney, Sydney, Australia
| | - Kelsie A Boulton
- Clinic for Autism and Neurodevelopment Research, Brain and Mind Centre, The University of Sydney, Sydney, Australia
| | - Mahalakshmi Ekambareshwar
- Youth Mental Health and Technology Team, Brain and Mind Centre, The University of Sydney, Sydney, Australia
| | - Victoria Loblay
- Youth Mental Health and Technology Team, Brain and Mind Centre, The University of Sydney, Sydney, Australia
- The Australian Prevention Partnership Centre, Sydney, Australia
| | - Jakelin Troy
- Faculty of Arts and Social Sciences, The University of Sydney, Sydney, Australia
| | - Mujahid Torwali
- Faculty of Arts and Social Sciences, The University of Sydney, Sydney, Australia
| | - Adam J Guastella
- Clinic for Autism and Neurodevelopment Research, Brain and Mind Centre, The University of Sydney, Sydney, Australia
| | - Richard B Banati
- Medical Imaging Sciences, Faculty of Medicine and Health, Brain and Mind Centre, The University of Sydney, Sydney, Australia
- Australian Nuclear Science and Technology Organisation, Sydney, Australia
| | - Ian B Hickie
- Youth Mental Health and Technology Team, Brain and Mind Centre, The University of Sydney, Sydney, Australia
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10
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Wong TR, Hickie IB, Carpenter JS, Scott EM, Guastella AJ, Vidafar P, Scott J, Hermens DF, Crouse JJ. Dynamic modelling of chronotype and hypo/manic and depressive symptoms in young people with emerging mental disorders. Chronobiol Int 2023; 40:699-709. [PMID: 37132360 DOI: 10.1080/07420528.2023.2203241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Revised: 02/21/2023] [Accepted: 04/11/2023] [Indexed: 05/04/2023]
Abstract
There is significant interest in the possible influence of chronotype on clinical states in young people with emerging mental disorders. We apply a dynamic approach (bivariate latent change score modelling) to examine the possible prospective influence of chronotype on depressive and hypo/manic symptoms in a youth cohort with predominantly depressive, bipolar, and psychotic disorders (N = 118; 14-30-years), who completed a baseline and follow-up assessment of these constructs (mean interval = 1.8-years). Our primary hypotheses were that greater baseline eveningness would predict increases in depressive but not hypo/manic symptoms. We found moderate to strong autoregressive effects for chronotype (β = -0.447 to -0.448, p < 0.001), depressive (β = -0.650, p < 0.001) and hypo/manic symptoms (β = -0.819, p < 0.001). Against our predictions, baseline chronotypes did not predict change in depressive (β = -0.016, p = 0.810) or hypo/manic symptoms (β = 0.077, p = 0.104). Similarly, the change in chronotype did not correlate with the change in depressive symptoms (β = -0.096, p = 0.295) nor did the change in chronotype and the change in hypo/manic symptoms (β = -0.166, p = 0.070). These data suggest that chronotypes may have low utility for predicting future hypo/manic and depressive symptoms in the short term, or that more frequent assessments over longer periods are needed to observe these associations. Future studies should test whether other circadian phenotypes (e.g. sleep-wake variability) are better indicators of illness course.
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Affiliation(s)
| | - Ian B Hickie
- Brain and Mind Centre, University of Sydney, Australia
| | | | | | | | | | - Jan Scott
- Brain and Mind Centre, University of Sydney, Australia
- Academic Psychiatry, Institute of Neuroscience, Newcastle University, UK
- Université de Paris, Paris, France
- Department of Mental Health, Norwegian University of Science and Technology, Trondheim, Norway
| | - Daniel F Hermens
- Thompson Institute, University of the Sunshine Coast, Sippy Downs, Queensland, Australia
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11
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Hickie IB, Merikangas KR, Carpenter JS, Iorfino F, Scott EM, Scott J, Crouse JJ. Does circadian dysrhythmia drive the switch into high- or low-activation states in bipolar I disorder? Bipolar Disord 2023; 25:191-199. [PMID: 36661342 PMCID: PMC10947388 DOI: 10.1111/bdi.13304] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
OBJECTIVES Emerging evidence suggests a role of circadian dysrhythmia in the switch between "activation" states (i.e., objective motor activity and subjective energy) in bipolar I disorder. METHODS We examined the evidence with respect to four relevant questions: (1) Are natural or environmental exposures that can disrupt circadian rhythms also related to the switch into high-/low-activation states? (2) Are circadian dysrhythmias (e.g., altered rest/activity rhythms) associated with the switch into activation states in bipolar disorder? (3) Do interventions that affect the circadian system also affect activation states? (4) Are associations between circadian dysrhythmias and activation states influenced by other "third" factors? RESULTS Factors that naturally or experimentally alter circadian rhythms (e.g., light exposure) have been shown to relate to activation states; however future studies need to measure circadian rhythms contemporaneously with these natural/experimental factors. Actigraphic measures of circadian dysrhythmias are associated prospectively with the switch into high- or low-activation states, and more studies are needed to establish the most relevant prognostic actigraphy metrics in bipolar disorder. Interventions that can affect the circadian system (e.g., light therapy, lithium) can also reduce the switch into high-/low-activation states. Whether circadian rhythms mediate these clinical effects is an unknown but valuable question. The influence of age, sex, and other confounders on these associations needs to be better characterised. CONCLUSION Based on the reviewed evidence, our view is that circadian dysrhythmia is a plausible driver of transitions into high- and low-activation states and deserves prioritisation in research in bipolar disorders.
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Affiliation(s)
- Ian B. Hickie
- Youth Mental Health and Technology Team, Brain and Mind Centre, Faculty of Medicine and HealthUniversity of SydneyNew South WalesSydneyAustralia
| | - Kathleen R. Merikangas
- Genetic Epidemiology Research Branch, Division of Intramural Research ProgramNational Institute of Mental HealthBethesdaMarylandUSA
| | - Joanne S. Carpenter
- Youth Mental Health and Technology Team, Brain and Mind Centre, Faculty of Medicine and HealthUniversity of SydneyNew South WalesSydneyAustralia
| | - Frank Iorfino
- Youth Mental Health and Technology Team, Brain and Mind Centre, Faculty of Medicine and HealthUniversity of SydneyNew South WalesSydneyAustralia
| | - Elizabeth M. Scott
- Youth Mental Health and Technology Team, Brain and Mind Centre, Faculty of Medicine and HealthUniversity of SydneyNew South WalesSydneyAustralia
| | - Jan Scott
- Institute of NeuroscienceNewcastle UniversityNewcastle upon TyneUK
- Norwegian University of Science and TechnologyTrondheimNorway
- Université de ParisParisFrance
| | - Jacob J. Crouse
- Youth Mental Health and Technology Team, Brain and Mind Centre, Faculty of Medicine and HealthUniversity of SydneyNew South WalesSydneyAustralia
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12
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McHugh CM, Ho N, Iorfino F, Crouse JJ, Nichles A, Zmicerevska N, Scott E, Glozier N, Hickie IB. Predictive modelling of deliberate self-harm and suicide attempts in young people accessing primary care: a machine learning analysis of a longitudinal study. Soc Psychiatry Psychiatr Epidemiol 2023:10.1007/s00127-022-02415-7. [PMID: 36854811 DOI: 10.1007/s00127-022-02415-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2022] [Accepted: 12/21/2022] [Indexed: 03/02/2023]
Abstract
PURPOSE Machine learning (ML) has shown promise in modelling future self-harm but is yet to be applied to key questions facing clinical services. In a cohort of young people accessing primary mental health care, this study aimed to establish (1) the performance of models predicting deliberate self-harm (DSH) compared to suicide attempt (SA), (2) the performance of models predicting new-onset or repeat behaviour, and (3) the relative importance of factors predicting these outcomes. METHODS 802 young people aged 12-25 years attending primary mental health services had detailed social and clinical assessments at baseline and 509 completed 12-month follow-up. Four ML algorithms, as well as logistic regression, were applied to build four distinct models. RESULTS The mean performance of models predicting SA (AUC: 0.82) performed better than the models predicting DSH (AUC: 0.72), with mean positive predictive values (PPV) approximately twice that of the prevalence (SA prevalence 14%, PPV: 0.32, DSH prevalence 22%, PPV: 0.40). All ML models outperformed standard logistic regression. The most frequently selected variable in both models was a history of DSH via cutting. CONCLUSION History of DSH and clinical symptoms of common mental disorders, rather than social and demographic factors, were the most important variables in modelling future behaviour. The performance of models predicting outcomes in key sub-cohorts, those with new-onset or repetition of DSH or SA during follow-up, was poor. These findings may indicate that the performance of models of future DSH or SA may depend on knowledge of the individual's recent history of either behaviour.
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Affiliation(s)
- Catherine M McHugh
- Brain and Mind Centre, University of Sydney, 94 Mallett Street, Camperdown, Sydney, NSW, 2042, Australia. .,Discipline of Psychiatry, University of New South Wales, Sydney, Australia.
| | - Nicholas Ho
- Brain and Mind Centre, University of Sydney, 94 Mallett Street, Camperdown, Sydney, NSW, 2042, Australia
| | - Frank Iorfino
- Brain and Mind Centre, University of Sydney, 94 Mallett Street, Camperdown, Sydney, NSW, 2042, Australia
| | - Jacob J Crouse
- Brain and Mind Centre, University of Sydney, 94 Mallett Street, Camperdown, Sydney, NSW, 2042, Australia
| | - Alissa Nichles
- Brain and Mind Centre, University of Sydney, 94 Mallett Street, Camperdown, Sydney, NSW, 2042, Australia
| | - Natalia Zmicerevska
- Brain and Mind Centre, University of Sydney, 94 Mallett Street, Camperdown, Sydney, NSW, 2042, Australia
| | - Elizabeth Scott
- Brain and Mind Centre, University of Sydney, 94 Mallett Street, Camperdown, Sydney, NSW, 2042, Australia.,St Vincent's Hospital, Sydney, Australia.,School of Medicine, University of Notre Dame Australia, Sydney, Australia
| | - Nick Glozier
- Brain and Mind Centre, University of Sydney, 94 Mallett Street, Camperdown, Sydney, NSW, 2042, Australia.,School of Psychiatry, University of Sydney, Sydney, Australia
| | - Ian B Hickie
- Brain and Mind Centre, University of Sydney, 94 Mallett Street, Camperdown, Sydney, NSW, 2042, Australia
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13
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Crouse JJ, LaMonica HM, Song YJC, Boulton KA, Rohleder C, DeMayo MM, Wilson CE, Loblay V, Hindmarsh G, Stratigos T, Krausz M, Foo N, Teo M, Hunter A, Guastella AJ, Banati RB, Troy J, Hickie IB. Designing an App for Parents and Caregivers to Promote Cognitive and Socioemotional Development and Well-being Among Children Aged 0 to 5 Years in Diverse Cultural Settings: Scientific Framework. JMIR Pediatr Parent 2023; 6:e38921. [PMID: 36780220 PMCID: PMC9972208 DOI: 10.2196/38921] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 11/02/2022] [Accepted: 12/28/2022] [Indexed: 12/29/2022] Open
Abstract
Recent years have seen remarkable progress in our scientific understanding of early childhood social, emotional, and cognitive development, as well as our capacity to widely disseminate health information by using digital technologies. Together, these scientific and technological advances offer exciting opportunities to deliver high-quality information about early childhood development (ECD) to parents and families globally, which may ultimately lead to greater knowledge and confidence among parents and better outcomes among children (particularly in lower- and middle-income countries). With these potential benefits in mind, we set out to design, develop, implement, and evaluate a new parenting app-Thrive by Five-that will be available in 30 countries. The app will provide caregivers and families with evidence-based and culturally appropriate information about ECD, accompanied by sets of collective actions that go beyond mere tips for parenting practices. Herein, we describe this ongoing global project and discuss the components of our scientific framework for developing and prototyping the app's content. Specifically, we describe (1) 5 domains that are used to organize the content and goals of the app's information and associated practices; (2) 5 neurobiological systems that are relevant to ECD and can be behaviorally targeted to potentially influence social, emotional, and cognitive development; (3) our anthropological and cultural framework for learning about local contexts and appreciating decolonization perspectives; and (4) our approach to tailoring the app's content to local contexts, which involves collaboration with in-country partner organizations and local and international subject matter experts in ECD, education, medicine, psychology, and anthropology, among others. Finally, we provide examples of the content that was incorporated in Thrive by Five when it launched globally.
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Affiliation(s)
- Jacob J Crouse
- Youth Mental Health and Technology Team, Brain and Mind Centre, Faculty of Medicine and Health, University of Sydney, Camperdown, Australia
| | - Haley M LaMonica
- Youth Mental Health and Technology Team, Brain and Mind Centre, Faculty of Medicine and Health, University of Sydney, Camperdown, Australia
| | - Yun Ju Christine Song
- Youth Mental Health and Technology Team, Brain and Mind Centre, Faculty of Medicine and Health, University of Sydney, Camperdown, Australia
| | - Kelsie A Boulton
- Clinic for Autism and Neurodevelopment Research, Brain and Mind Centre, Children's Hospital Westmead Clinical School, Faculty of Medicine and Health, University of Sydney, Camperdown, Australia
| | - Cathrin Rohleder
- Youth Mental Health and Technology Team, Brain and Mind Centre, Faculty of Medicine and Health, University of Sydney, Camperdown, Australia.,Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Marilena M DeMayo
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada.,Department of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.,Department of Radiology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Chloe E Wilson
- Youth Mental Health and Technology Team, Brain and Mind Centre, Faculty of Medicine and Health, University of Sydney, Camperdown, Australia
| | - Victoria Loblay
- Youth Mental Health and Technology Team, Brain and Mind Centre, Faculty of Medicine and Health, University of Sydney, Camperdown, Australia.,The Australian Prevention Partnership Centre, Menzies Centre for Health Policy, University of Sydney, Sydney, Australia
| | - Gabrielle Hindmarsh
- Youth Mental Health and Technology Team, Brain and Mind Centre, Faculty of Medicine and Health, University of Sydney, Camperdown, Australia
| | - Tina Stratigos
- Sydney School of Education and Social Work, Faculty of Arts and Social Sciences, University of Sydney, Sydney, Australia
| | - Michael Krausz
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | | | | | | | - Adam J Guastella
- Youth Mental Health and Technology Team, Brain and Mind Centre, Faculty of Medicine and Health, University of Sydney, Camperdown, Australia.,Clinic for Autism and Neurodevelopment Research, Brain and Mind Centre, Children's Hospital Westmead Clinical School, Faculty of Medicine and Health, University of Sydney, Camperdown, Australia
| | - Richard B Banati
- Australian Nuclear Science and Technology Organisation, Sydney, Australia
| | - Jakelin Troy
- Faculty of Arts and Social Sciences, University of Sydney, Sydney, Australia
| | - Ian B Hickie
- Youth Mental Health and Technology Team, Brain and Mind Centre, Faculty of Medicine and Health, University of Sydney, Camperdown, Australia
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14
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Capon W, Hickie IB, Varidel M, Prodan A, Crouse JJ, Carpenter JS, Cross SP, Nichles A, Zmicerevska N, Guastella AJ, Scott EM, Scott J, Shah J, Iorfino F. Clinical staging and the differential risks for clinical and functional outcomes in young people presenting for youth mental health care. BMC Med 2022; 20:479. [PMID: 36514113 PMCID: PMC9749194 DOI: 10.1186/s12916-022-02666-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2022] [Accepted: 11/16/2022] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Clinical staging proposes that youth-onset mental disorders develop progressively, and that active treatment of earlier stages should prevent progression to more severe disorders. This retrospective cohort study examined the longitudinal relationships between clinical stages and multiple clinical and functional outcomes within the first 12 months of care. METHODS Demographic and clinical information of 2901 young people who accessed mental health care at age 12-25 years was collected at predetermined timepoints (baseline, 3 months, 6 months, 12 months). Initial clinical stage was used to define three fixed groups for analyses (stage 1a: 'non-specific anxious or depressive symptoms', 1b: 'attenuated mood or psychotic syndromes', 2+: 'full-threshold mood or psychotic syndromes'). Logistic regression models, which controlled for age and follow-up time, were used to compare clinical and functional outcomes (role and social function, suicidal ideation, alcohol and substance misuse, physical health comorbidity, circadian disturbances) between staging groups within the initial 12 months of care. RESULTS Of the entire cohort, 2093 young people aged 12-25 years were followed up at least once over the first 12 months of care, with 60.4% female and a baseline mean age of 18.16 years. Longitudinally, young people at stage 2+ were more likely to develop circadian disturbances (odds ratio [OR]=2.58; CI 1.60-4.17), compared with individuals at stage 1b. Additionally, stage 1b individuals were more likely to become disengaged from education/employment (OR=2.11, CI 1.36-3.28), develop suicidal ideations (OR=1.92; CI 1.30-2.84) and circadian disturbances (OR=1.94, CI 1.31-2.86), compared to stage 1a. By contrast, we found no relationship between clinical stage and the emergence of alcohol or substance misuse and physical comorbidity. CONCLUSIONS The differential rates of emergence of poor clinical and functional outcomes between early versus late clinical stages support the clinical staging model's assumptions about illness trajectories for mood and psychotic syndromes. The greater risk of progression to poor outcomes in those who present with more severe syndromes may be used to guide specific intervention packages.
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Affiliation(s)
- William Capon
- Brain and Mind Centre, The University of Sydney, Sydney, 2050, Australia
| | - Ian B Hickie
- Brain and Mind Centre, The University of Sydney, Sydney, 2050, Australia
| | - Mathew Varidel
- Brain and Mind Centre, The University of Sydney, Sydney, 2050, Australia
| | - Ante Prodan
- Brain and Mind Centre, The University of Sydney, Sydney, 2050, Australia.,Translational Health Research Institute, Western Sydney University, Sydney, 2751, Australia.,School of Computer, Data and Mathematical Sciences, Western Sydney University, Sydney, 2751, Australia
| | - Jacob J Crouse
- Brain and Mind Centre, The University of Sydney, Sydney, 2050, Australia
| | - Joanne S Carpenter
- Brain and Mind Centre, The University of Sydney, Sydney, 2050, Australia
| | - Shane P Cross
- School of Psychological Sciences, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, 2109, Australia
| | - Alissa Nichles
- Brain and Mind Centre, The University of Sydney, Sydney, 2050, Australia
| | | | - Adam J Guastella
- Brain and Mind Centre, The University of Sydney, Sydney, 2050, Australia
| | - Elizabeth M Scott
- Brain and Mind Centre, The University of Sydney, Sydney, 2050, Australia
| | - Jan Scott
- Academic Psychiatry, Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, NE1 7RU, UK
| | - Jai Shah
- Department of Psychiatry, McGill University, Montreal, H3A 0G4, Canada
| | - Frank Iorfino
- Brain and Mind Centre, The University of Sydney, Sydney, 2050, Australia.
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Richie-Halford A, Cieslak M, Ai L, Caffarra S, Covitz S, Franco AR, Karipidis II, Kruper J, Milham M, Avelar-Pereira B, Roy E, Sydnor VJ, Yeatman JD, Abbott NJ, Anderson JAE, Gagana B, Bleile M, Bloomfield PS, Bottom V, Bourque J, Boyle R, Brynildsen JK, Calarco N, Castrellon JJ, Chaku N, Chen B, Chopra S, Coffey EBJ, Colenbier N, Cox DJ, Crippen JE, Crouse JJ, David S, Leener BD, Delap G, Deng ZD, Dugre JR, Eklund A, Ellis K, Ered A, Farmer H, Faskowitz J, Finch JE, Flandin G, Flounders MW, Fonville L, Frandsen SB, Garic D, Garrido-Vásquez P, Gonzalez-Escamilla G, Grogans SE, Grotheer M, Gruskin DC, Guberman GI, Haggerty EB, Hahn Y, Hall EH, Hanson JL, Harel Y, Vieira BH, Hettwer MD, Hobday H, Horien C, Huang F, Huque ZM, James AR, Kahhale I, Kamhout SLH, Keller AS, Khera HS, Kiar G, Kirk PA, Kohl SH, Korenic SA, Korponay C, Kozlowski AK, Kraljevic N, Lazari A, Leavitt MJ, Li Z, Liberati G, Lorenc ES, Lossin AJ, Lotter LD, Lydon-Staley DM, Madan CR, Magielse N, Marusak HA, Mayor J, McGowan AL, Mehta KP, Meisler SL, Michael C, Mitchell ME, Morand-Beaulieu S, Newman BT, Nielsen JA, O’Mara SM, Ojha A, Omary A, Özarslan E, Parkes L, Peterson M, Pines AR, Pisanu C, Rich RR, Sahoo AK, Samara A, Sayed F, Schneider JT, Shaffer LS, Shatalina E, Sims SA, Sinclair S, Song JW, Hogrogian GS, Tamnes CK, Tooley UA, Tripathi V, Turker HB, Valk SL, Wall MB, Walther CK, Wang Y, Wegmann B, Welton T, Wiesman AI, Wiesman AG, Wiesman M, Winters DE, Yuan R, Zacharek SJ, Zajner C, Zakharov I, Zammarchi G, Zhou D, Zimmerman B, Zoner K, Satterthwaite TD, Rokem A. Author Correction: An analysis-ready and quality controlled resource for pediatric brain white-matter research. Sci Data 2022; 9:709. [PMID: 36396653 PMCID: PMC9671885 DOI: 10.1038/s41597-022-01816-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
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16
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LaMonica HM, Crouse JJ, Song YJC, Alam M, Ekambareshwar M, Loblay V, Yoon A, Cha G, Wilson C, Sweeney-Nash M, Foo N, Teo M, Perhirin M, Troy J, Hickie IB. Developing a Parenting App to Support Young Children’s Socioemotional and Cognitive Development in Culturally Diverse Low- and Middle-Income Countries: Protocol for a Co-design Study. JMIR Res Protoc 2022; 11:e39225. [DOI: 10.2196/39225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Revised: 08/28/2022] [Accepted: 08/29/2022] [Indexed: 11/07/2022] Open
Abstract
Background
Digital technologies are widely recognized for their equalizing effect, improving access to affordable health care regardless of gender, ethnicity, socioeconomic status, or geographic region. The Thrive by Five app is designed to promote positive interactions between children and their parents, extended family, and trusted members of the community to support socioemotional and cognitive development in the first 5 years of life and to strengthen connections to culture and community.
Objective
This paper aims to describe the iterative co-design process that underpins the development and refinement of Thrive by Five’s features, functions, and content. Minderoo Foundation commissioned this work as a quality improvement activity to support an engaging user experience and inform the development of culturally appropriate and relevant content for parents and caregivers in each country where the app is implemented.
Methods
The app content, referred to as Collective Actions, comprises “The Why,” that presents scientific principles that underpin socioemotional and cognitive development in early childhood. The scientific information is coupled with childrearing activities for parents, extended family, and members of the community to engage in with the children to support their healthy development and to promote positive connections between parents, families, and communities and these young children. Importantly, the initial content is designed and iteratively refined in collaboration with a subject matter expert group from each country (ie, alpha testing). This content is then configured into the app (either a beta version or localized version) for testing (ie, beta testing) by local parents and caregivers as well as experts who are invited to provide their feedback and suggestions for improvements in app content, features, and functions via a brief web-based survey and a series of co-design workshops. The quantitative survey data will be analyzed using descriptive statistics, whereas the analysis of qualitative data from the workshops will follow established thematic techniques.
Results
To date, the co-design protocol has been completed with subject matter experts, parents, and caregivers from 9 countries, with the first results expected to be published by early 2023. The protocol will be implemented serially in the remaining 21 countries.
Conclusions
Mobile technologies are the primary means of internet connection in many countries worldwide, which underscores the potential for mobile health programs to improve access to valuable, evidence-based, and previously unavailable parenting information. However, for maximum impact, it is critically important to ensure that mobile health programs are designed in collaboration with the target audience to support the alignment of content with parents’ cultural values and traditions and its relevance to their needs and circumstances.
International Registered Report Identifier (IRRID)
DERR1-10.2196/39225
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Hermens DF, Jamieson D, Fitzpatrick L, Sacks DD, Iorfino F, Crouse JJ, Guastella AJ, Scott EM, Hickie IB, Lagopoulos J. Sex differences in fronto-limbic white matter tracts in youth with mood disorders. Psychiatry Clin Neurosci 2022; 76:481-489. [PMID: 35730893 DOI: 10.1111/pcn.13440] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Revised: 05/22/2022] [Accepted: 06/14/2022] [Indexed: 11/29/2022]
Abstract
AIMS Patients with depression and bipolar disorder have previously been shown to have impaired white matter (WM) integrity compared with healthy controls. This study aimed to investigate potential sex differences that may provide further insight into the pathophysiology of these highly debilitating mood disorders. METHODS Participants aged 17 to 30 years (168 with depression [60% females], 107 with bipolar disorder [74% females], and 61 controls [64% females]) completed clinical assessment, self-report measures, and a neuropsychological assessment battery. Participants also underwent magnetic resonance imaging from which diffusion tensor imaging data were collected among five fronto-limbic WM tracts: cingulum bundle (cingulate gyrus and hippocampus subsections), fornix, stria terminalis, and the uncinate fasciculus. Mean fractional anisotropy (FA) scores were compared between groups using analyses of variance with sex and diagnosis as fixed factors. RESULTS Among the nine WM tracts analyzed, one revealed a significant interaction between sex and diagnosis, controlling for age. Male patients with bipolar disorder had significantly lower FA scores in the fornix compared with the other groups. Furthermore, partial correlations revealed a significant positive association between FA scores for the fornix and psychomotor speed. CONCLUSIONS Our findings suggest that males with bipolar disorder may be at increased risk of disruptions in WM integrity, especially in the fornix, which is thought to be responsible for a range of cognitive functions. More broadly, our findings suggest that sex differences may exist in WM integrity and thereby alter our understanding of the pathophysiology of mood disorders.
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Affiliation(s)
- Daniel F Hermens
- Thompson Institute, University of the Sunshine Coast, Birtinya, Queensland, Australia
| | - Daniel Jamieson
- Thompson Institute, University of the Sunshine Coast, Birtinya, Queensland, Australia
| | - Lauren Fitzpatrick
- Youth Mental Health & Technology Team, Brain and Mind Centre, University of Sydney, Camperdown, New South Wales, Australia
| | - Dashiell D Sacks
- Thompson Institute, University of the Sunshine Coast, Birtinya, Queensland, Australia
| | - Frank Iorfino
- Youth Mental Health & Technology Team, Brain and Mind Centre, University of Sydney, Camperdown, New South Wales, Australia
| | - Jacob J Crouse
- Youth Mental Health & Technology Team, Brain and Mind Centre, University of Sydney, Camperdown, New South Wales, Australia
| | - Adam J Guastella
- Youth Mental Health & Technology Team, Brain and Mind Centre, University of Sydney, Camperdown, New South Wales, Australia
| | - Elizabeth M Scott
- Youth Mental Health & Technology Team, Brain and Mind Centre, University of Sydney, Camperdown, New South Wales, Australia
| | - Ian B Hickie
- Youth Mental Health & Technology Team, Brain and Mind Centre, University of Sydney, Camperdown, New South Wales, Australia
| | - Jim Lagopoulos
- Thompson Institute, University of the Sunshine Coast, Birtinya, Queensland, Australia
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18
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Carpenter JS, Zmicerevska N, Crouse JJ, Nichles A, Garland A, Song YJC, Wilson C, Rohleder C, McHugh C, Leweke FM, Koethe D, Scott EM, Hickie IB. Effects of adjunctive brexpiprazole on sleep-wake and circadian parameters in youth with depressive disorders: study protocol for a clinical trial. BMJ Open 2022; 12:e056298. [PMID: 36691133 PMCID: PMC9454051 DOI: 10.1136/bmjopen-2021-056298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Accepted: 08/09/2022] [Indexed: 01/26/2023] Open
Abstract
INTRODUCTION Sleep-wake and circadian disturbance is a key feature of mood disorders with a potential causal role and particular relevance to young people. Brexpiprazole is a second-generation antipsychotic medication with demonstrated efficacy as an adjunct to antidepressant treatment for major depressive disorder (MDD) in adults, with preliminary evidence suggesting greater effectiveness in subgroups of depressed patients with sleep disturbances. This clinical trial aims to evaluate the relationships between changes in sleep-wake and circadian parameters and changes in depressive symptoms following adjunctive brexpiprazole treatment in young adults with MDD and sleep-wake disturbance. METHODS AND ANALYSIS This study is designed as a 16 week (8 weeks active treatment, 8 weeks follow-up) mechanistic, open-label, single-arm, phase IV clinical trial and aims to recruit 50 young people aged 18-30 with MDD and sleep-wake cycle disturbance through an early intervention youth mental health clinic in Sydney, Australia. At baseline, participants will undergo multidimensional outcome assessment and subsequently receive 8 weeks of open-label treatment with brexpiprazole as adjunctive to their stable psychotropic medication. Following 4 weeks of treatment, clinical and self-report measures will be repeated. Ambulatory sleep-wake monitoring will be conducted continuously for the duration of treatment. After 8 weeks of treatment, all multidimensional outcome assessments will be repeated. Follow-up visits will be conducted 4 and 8 weeks after trial completion (including sleep-wake, clinical and self-report assessments). Circadian rhythm biomarkers including salivary melatonin, cortisol and core body temperature will be collected during an in-lab assessment. Additionally, metabolic, inflammatory and genetic risk markers will be collected at baseline and after 8 weeks of treatment. ETHICS AND DISSEMINATION This trial protocol has been approved by the Human Research Ethics Committee of the Sydney Local Health District (X19-0417 and 2019/ETH12986, Protocol Version 1-3, dated 25 February 2021). The results of this study, in deidentified form, will be disseminated through publication in peer-reviewed journals, scholarly book chapters, presentation at conferences and publication in conference proceedings. TRIAL REGISTRATION NUMBER ACTRN12619001456145.
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Affiliation(s)
- Joanne S Carpenter
- Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Natalia Zmicerevska
- Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Jacob J Crouse
- Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Alissa Nichles
- Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Alexandra Garland
- Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Yun Ju Christine Song
- Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Chloe Wilson
- Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Cathrin Rohleder
- Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Catherine McHugh
- Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - F Markus Leweke
- Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Dagmar Koethe
- Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Elizabeth M Scott
- Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
- The University of Notre Dame Australia School of Medicine Sydney Campus, Darlinghurst, New South Wales, Australia
| | - Ian B Hickie
- Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
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19
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Carpenter JS, Scott J, Iorfino F, Crouse JJ, Ho N, Hermens DF, Cross SPM, Naismith SL, Guastella AJ, Scott EM, Hickie IB. Predicting the emergence of full-threshold bipolar I, bipolar II and psychotic disorders in young people presenting to early intervention mental health services. Psychol Med 2022; 52:1990-2000. [PMID: 33121545 DOI: 10.1017/s0033291720003840] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
BACKGROUND Predictors of new-onset bipolar disorder (BD) or psychotic disorder (PD) have been proposed on the basis of retrospective or prospective studies of 'at-risk' cohorts. Few studies have compared concurrently or longitudinally factors associated with the onset of BD or PDs in youth presenting to early intervention services. We aimed to identify clinical predictors of the onset of full-threshold (FT) BD or PD in this population. METHOD Multi-state Markov modelling was used to assess the relationships between baseline characteristics and the likelihood of the onset of FT BD or PD in youth (aged 12-30) presenting to mental health services. RESULTS Of 2330 individuals assessed longitudinally, 4.3% (n = 100) met criteria for new-onset FT BD and 2.2% (n = 51) met criteria for a new-onset FT PD. The emergence of FT BD was associated with older age, lower social and occupational functioning, mania-like experiences (MLE), suicide attempts, reduced incidence of physical illness, childhood-onset depression, and childhood-onset anxiety. The emergence of a PD was associated with older age, male sex, psychosis-like experiences (PLE), suicide attempts, stimulant use, and childhood-onset depression. CONCLUSIONS Identifying risk factors for the onset of either BD or PDs in young people presenting to early intervention services is assisted not only by the increased focus on MLE and PLE, but also by recognising the predictive significance of poorer social function, childhood-onset anxiety and mood disorders, and suicide attempts prior to the time of entry to services. Secondary prevention may be enhanced by greater attention to those risk factors that are modifiable or shared by both illness trajectories.
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Affiliation(s)
- Joanne S Carpenter
- Youth Mental Health Team, Brain & Mind Centre, The University of Sydney, Camperdown, Australia
| | - Jan Scott
- Department of Academic Psychiatry, Institute of Neuroscience, Newcastle University, Newcastle, England
- Diderot University, Sorbonne City, Paris, France
| | - Frank Iorfino
- Youth Mental Health Team, Brain & Mind Centre, The University of Sydney, Camperdown, Australia
| | - Jacob J Crouse
- Youth Mental Health Team, Brain & Mind Centre, The University of Sydney, Camperdown, Australia
| | - Nicholas Ho
- Youth Mental Health Team, Brain & Mind Centre, The University of Sydney, Camperdown, Australia
| | - Daniel F Hermens
- Youth Mental Health Team, Brain & Mind Centre, The University of Sydney, Camperdown, Australia
- Thompson Institute, University of the Sunshine Coast, Birtinya, Queensland, Australia
| | - Shane P M Cross
- Youth Mental Health Team, Brain & Mind Centre, The University of Sydney, Camperdown, Australia
- School of Psychology, The University of Sydney, Camperdown, New South Wales, Australia
| | - Sharon L Naismith
- Youth Mental Health Team, Brain & Mind Centre, The University of Sydney, Camperdown, Australia
- School of Psychology, The University of Sydney, Camperdown, New South Wales, Australia
- Charles Perkins Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Adam J Guastella
- Youth Mental Health Team, Brain & Mind Centre, The University of Sydney, Camperdown, Australia
| | - Elizabeth M Scott
- Youth Mental Health Team, Brain & Mind Centre, The University of Sydney, Camperdown, Australia
- School of Medicine, University of Notre Dame, Sydney, Australia
| | - Ian B Hickie
- Youth Mental Health Team, Brain & Mind Centre, The University of Sydney, Camperdown, Australia
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20
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Crouse JJ, Ho N, Scott J, Parker R, Park SH, Couvy-Duchesne B, Mitchell BL, Byrne EM, Hermens DF, Medland SE, Martin NG, Gillespie NA, Hickie IB. Dynamic networks of psychological symptoms, impairment, substance use, and social support: The evolution of psychopathology among emerging adults. Eur Psychiatry 2022; 65:e32. [PMID: 35694845 PMCID: PMC9280922 DOI: 10.1192/j.eurpsy.2022.23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Subthreshold/attenuated syndromes are established precursors of full-threshold mood and psychotic disorders. Less is known about the individual symptoms that may precede the development of subthreshold syndromes and associated social/functional outcomes among emerging adults. METHODS We modeled two dynamic Bayesian networks (DBN) to investigate associations among self-rated phenomenology and personal/lifestyle factors (role impairment, low social support, and alcohol and substance use) across the 19Up and 25Up waves of the Brisbane Longitudinal Twin Study. We examined whether symptoms and personal/lifestyle factors at 19Up were associated with (a) themselves or different items at 25Up, and (b) onset of a depression-like, hypo-manic-like, or psychotic-like subthreshold syndrome (STS) at 25Up. RESULTS The first DBN identified 11 items that when endorsed at 19Up were more likely to be reendorsed at 25Up (e.g., hypersomnia, impaired concentration, impaired sleep quality) and seven items that when endorsed at 19Up were associated with different items being endorsed at 25Up (e.g., earlier fatigue and later role impairment; earlier anergia and later somatic pain). In the second DBN, no arcs met our a priori threshold for inclusion. In an exploratory model with no threshold, >20 items at 19Up were associated with progression to an STS at 25Up (with lower statistical confidence); the top five arcs were: feeling threatened by others and a later psychotic-like STS; increased activity and a later hypo-manic-like STS; and anergia, impaired sleep quality, and/or hypersomnia and a later depression-like STS. CONCLUSIONS These probabilistic models identify symptoms and personal/lifestyle factors that might prove useful targets for indicated preventative strategies.
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Affiliation(s)
- Jacob J Crouse
- Youth Mental Health & Technology Team, Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Nicholas Ho
- Youth Mental Health & Technology Team, Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Jan Scott
- Academic Psychiatry, Institute of Neuroscience, Newcastle University, Newcastle, United Kingdom.,Université de Paris, Paris, France.,Department of Mental Health, Norwegian University of Science and Technology, Trondheim, Norway
| | - Richard Parker
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Shin Ho Park
- Youth Mental Health & Technology Team, Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Baptiste Couvy-Duchesne
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.,Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia.,Paris Brain Institute (ICM), INSERM U 1127, CNRS UMR 7225, Sorbonne University, Inria, Aramis Project-Team, 75013Paris, France
| | | | - Enda M Byrne
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Daniel F Hermens
- Thompson Institute, University of the Sunshine Coast, Birtinya, Queensland, Australia
| | - Sarah E Medland
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Nicholas G Martin
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Nathan A Gillespie
- Virginia Institute for Psychiatric and Behavior Genetics, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Ian B Hickie
- Youth Mental Health & Technology Team, Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
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Scott J, Etain B, Miklowitz D, Crouse JJ, Carpenter J, Marwaha S, Smith D, Merikangas K, Hickie I. A systematic review and meta-analysis of sleep and circadian rhythms disturbances in individuals at high-risk of developing or with early onset of bipolar disorders. Neurosci Biobehav Rev 2022; 135:104585. [PMID: 35182537 PMCID: PMC8957543 DOI: 10.1016/j.neubiorev.2022.104585] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 02/09/2022] [Accepted: 02/13/2022] [Indexed: 11/27/2022]
Abstract
Sleep and circadian rhythms disturbances (SCRD) in young people at high risk or with early onset of bipolar disorders (BD) are poorly understood. We systematically searched for studies of self, observer or objective estimates of SCRD in asymptomatic or symptomatic offspring of parents with BD (OSBD), individuals with presentations meeting recognized BD-at-risk criteria (BAR) and youth with recent onset of full-threshold BD (FT-BD). Of 76 studies eligible for systematic review, 35 (46%) were included in random effects meta-analyses. Pooled analyses of self-ratings related to circadian rhythms demonstrated greater preference for eveningness and more dysregulation of social rhythms in BAR and FT-BD groups; analyses of actigraphy provided some support for these findings. Meta-analysis of prospective studies showed that pre-existing SCRD were associated with a 40% increased risk of onset of BD, but heterogeneity in assessments was a significant concern. Overall, we identified longer total sleep time (Hedges g: 0.34; 95% confidence intervals:.1,.57), especially in OSBD and FT-BD and meta-regression analysis indicated the effect sizes was moderated by the proportion of any sample manifesting psychopathology or receiving psychotropic medications. This evolving field of research would benefit from greater attention to circadian rhythm as well as sleep quality measures.
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Affiliation(s)
- Jan Scott
- Academic Psychiatry, Institute of Neuroscience, Newcastle University, Newcastle, NE1 7RU, UK.
| | - Bruno Etain
- Université de Paris, Paris, France; AP-HP Nord, Groupe Hospitalier Saint-Louis-Lariboisière-Fernand Widal, Département de Psychiatrie et de Médecine Addictologique, Paris, France
| | - David Miklowitz
- Department of Psychiatry and Biobehavioral Sciences, UCLA Semel Institute, David Geffen School of Medicine at UCLA, Los Angeles, USA
| | - Jacob J Crouse
- Brain and Mind Centre, University of Sydney, 94-100 Mallett Street, Camperdown, 2050, NSW, Australia
| | - Joanne Carpenter
- Brain and Mind Centre, University of Sydney, 94-100 Mallett Street, Camperdown, 2050, NSW, Australia
| | - Steven Marwaha
- Institute for Mental Health, University of Birmingham, and Birmingham and Solihull Mental Health Trust, UK
| | - Daniel Smith
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Kathleen Merikangas
- Genetic Epidemiology Branch, Intramural Research Program, National Institute of Mental Health, Bethesda, USA
| | - Ian Hickie
- Brain and Mind Centre, University of Sydney, 94-100 Mallett Street, Camperdown, 2050, NSW, Australia
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22
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O’Callaghan VS, Hansell NK, Guo W, Carpenter JS, Shou H, Strike LT, Crouse JJ, McAloney K, McMahon KL, Byrne EM, Burns JM, Martin NG, Hickie IB, Merikangas KR, Wright MJ. Genetic and environmental influences on sleep-wake behaviors in adolescence. Sleep Adv 2021; 2:zpab018. [PMID: 37193570 PMCID: PMC10104400 DOI: 10.1093/sleepadvances/zpab018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Revised: 09/23/2021] [Indexed: 05/18/2023]
Abstract
Study Objectives To investigate the influence of genetic and environmental factors on sleep-wake behaviors across adolescence. Methods Four hundred and ninety-five participants (aged 9-17; 55% females), including 93 monozygotic and 117 dizygotic twin pairs, and 75 unmatched twins, wore an accelerometry device and completed a sleep diary for 2 weeks. Results Individual differences in sleep onset, wake time, and sleep midpoint were influenced by both additive genetic (44%-50% of total variance) and shared environmental (31%-42%) factors, with a predominant genetic influence for sleep duration (62%) and restorative sleep (43%). When stratified into younger (aged 9-14) and older (aged 16-17) subsamples, genetic sources were more prominent in older adolescents. The moderate correlation between sleep duration and midpoint (rP = -.43, rG = .54) was attributable to a common genetic source. Sleep-wake behaviors on school and nonschool nights were correlated (rP = .44-.72) and influenced by the same genetic and unique environmental factors. Genetic sources specific to night-type were also identified, for all behaviors except restorative sleep. Conclusions There were strong genetic influences on sleep-wake phenotypes, particularly on sleep timing, in adolescence. Moreover, there may be common genetic influences underlying both sleep and circadian rhythms. The differences in sleep-wake behaviors on school and nonschool nights could be attributable to genetic factors involved in reactivity to environmental context.
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Affiliation(s)
| | - Narelle K Hansell
- Queensland Brain Institute, University of Queensland, Brisbane, Australia
| | - Wei Guo
- Genetic Epidemiology Branch, National Institute of Mental Health, National Institutes of HealthBethesda, MD, USA
| | | | - Haochang Shou
- Genetic Epidemiology Branch, National Institute of Mental Health, National Institutes of HealthBethesda, MD, USA
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Lachlan T Strike
- Queensland Brain Institute, University of Queensland, Brisbane, Australia
| | - Jacob J Crouse
- Brain and Mind Centre, University of Sydney, Sydney, Australia
| | - Kerrie McAloney
- QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | | | - Enda M Byrne
- Institute of Molecular Bioscience, University of Queensland, Brisbane, Australia
- Child Health Research Centre, University of Queensland, Brisbane, Australia
| | - Jane M Burns
- Young and Well Cooperative Research Centre, Melbourne, Australia
| | | | - Ian B Hickie
- Brain and Mind Centre, University of Sydney, Sydney, Australia
| | - Kathleen R Merikangas
- Genetic Epidemiology Branch, National Institute of Mental Health, National Institutes of HealthBethesda, MD, USA
| | - Margaret J Wright
- Queensland Brain Institute, University of Queensland, Brisbane, Australia
- Centre for Advanced Imaging, University of Queensland, Brisbane, Australia
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23
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Crouse JJ, Carpenter JS, Song YJC, Hockey SJ, Naismith SL, Grunstein RR, Scott EM, Merikangas KR, Scott J, Hickie IB. Circadian rhythm sleep-wake disturbances and depression in young people: implications for prevention and early intervention. Lancet Psychiatry 2021; 8:813-823. [PMID: 34419186 DOI: 10.1016/s2215-0366(21)00034-1] [Citation(s) in RCA: 69] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Revised: 01/19/2021] [Accepted: 01/21/2021] [Indexed: 12/19/2022]
Abstract
A rate-limiting step in the prevention and early intervention of depressive disorders in young people is our insufficient understanding of causal mechanisms. One plausible pathophysiological pathway is disturbance in the 24 h sleep-wake cycle and the underlying circadian system. Abnormalities in circadian rhythms are well documented in adults with various depressive disorders and have been linked to core clinical features, including unstable mood, daytime fatigue, non-restorative sleep, reduced motor activity, somatic symptoms, and appetite and weight change. In this Review, we summarise four areas of research: basic circadian biology and animal models of circadian disturbances; developmental changes in circadian rhythms during adolescence and implications for the emergence of adolescent-onset depressive syndromes; community and clinical studies linking 24 h sleep-wake cycle disturbances and depressive disorders; and clinical trials of circadian-based treatments. We present recommendations based on a highly personalised, early intervention model for circadian-linked depression in young people.
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Affiliation(s)
- Jacob J Crouse
- Youth Mental Health and Technology Team, Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia.
| | - Joanne S Carpenter
- Youth Mental Health and Technology Team, Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
| | - Yun Ju C Song
- Youth Mental Health and Technology Team, Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
| | - Samuel J Hockey
- Youth Mental Health and Technology Team, Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
| | - Sharon L Naismith
- Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
| | - Ronald R Grunstein
- Woolcock Institute of Medical Research, Sleep and Circadian Research Group, Sydney, NSW, Australia
| | - Elizabeth M Scott
- St Vincent's and Mater Clinical School, The University of Notre Dame, Sydney, NSW, Australia
| | - Kathleen R Merikangas
- Genetic Epidemiology Research Branch, Division of Intramural Research Program, National Institute of Mental Health, Bethesda, MD, USA
| | - Jan Scott
- Academic Psychiatry, Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK
| | - Ian B Hickie
- Youth Mental Health and Technology Team, Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
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Scott J, Crouse JJ, Ho N, Carpenter J, Martin N, Medland S, Parker R, Byrne E, Couvy-Duchesne B, Mitchell B, Merikangas K, Gillespie NA, Hickie I. Can network analysis of self-reported psychopathology shed light on the core phenomenology of bipolar disorders in adolescents and young adults? Bipolar Disord 2021; 23:584-594. [PMID: 33638252 PMCID: PMC8387492 DOI: 10.1111/bdi.13067] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Revised: 01/13/2021] [Accepted: 02/21/2021] [Indexed: 12/11/2022]
Abstract
OBJECTIVES Network analysis is increasingly applied to psychopathology research. We used it to examine the core phenomenology of emerging bipolar disorder (BD I and II) and 'at risk' presentations (major depression with a family history of BD). METHODOLOGY The study sample comprised a community cohort of 1867 twin and nontwin siblings (57% female; mean age ~26) who had completed self-report ratings of (i) depression-like, hypomanic-like and psychotic-like experiences; (ii) family history of BD; and (iii) were assessed for mood and psychotic syndromes using the Composite International Diagnostic Interview (CIDI). Symptom networks were compared for recent onset BD versus other cohort members and then for individuals at risk of BD (depression with/without a family history of BD). RESULTS The four key symptoms that differentiated recent onset BD from other cohort members were: anergia, psychomotor speed, hypersomnia and (less) loss of confidence. The four key symptoms that differentiated individuals at high risk of BD from unipolar depression were anergia, psychomotor speed, impaired concentration and hopelessness. However, the latter network was less stable and more error prone. CONCLUSIONS We are encouraged by the overlaps between our findings and those from two recent publications reporting network analyses of BD psychopathology, especially as the studies recruited from different populations and employed different network models. However, the advantages of applying network analysis to youth mental health cohorts (which include many individuals with multimorbidity) must be weighed against the disadvantages including basic issues such as judgements regarding the selection of items for inclusion in network models.
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Affiliation(s)
- Jan Scott
- Brain and Mind Centre, The University of Sydney, Sydney, Australia
- Institute of Neuroscience, Newcastle University, Newcastle, United Kingdom
| | - Jacob J Crouse
- Brain and Mind Centre, The University of Sydney, Sydney, Australia
| | - Nicholas Ho
- Brain and Mind Centre, The University of Sydney, Sydney, Australia
| | - Joanne Carpenter
- Brain and Mind Centre, The University of Sydney, Sydney, Australia
| | - Nicholas Martin
- QIMR Berghofer Institute of Medical Research, Brisbane, Australia
| | - Sarah Medland
- QIMR Berghofer Institute of Medical Research, Brisbane, Australia
- Institute of Molecular Bioscience, The University of Queensland, Brisbane, Australia
| | - Richard Parker
- QIMR Berghofer Institute of Medical Research, Brisbane, Australia
| | - Enda Byrne
- Institute of Molecular Bioscience, The University of Queensland, Brisbane, Australia
| | - Baptiste Couvy-Duchesne
- QIMR Berghofer Institute of Medical Research, Brisbane, Australia
- Institute of Molecular Bioscience, The University of Queensland, Brisbane, Australia
- Paris Brain Institute, INRIA ARAMIS lab, Paris, France
| | - Brittany Mitchell
- QIMR Berghofer Institute of Medical Research, Brisbane, Australia
- School of Biomedical Science and Institute of Health and Biomedical Innovation, Faculty of Health, Queensland University of Technology (QUT), Brisbane, Australia
| | - Kathleen Merikangas
- Genetic Epidemiology Research Branch, Intramural Research Program, National Institute of Mental Health, Bethesda, USA
| | - Nathan A. Gillespie
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond VA, USA
| | - Ian Hickie
- Brain and Mind Centre, The University of Sydney, Sydney, Australia
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Scott J, Crouse JJ, Ho N, Iorfino F, Martin N, Parker R, McGrath J, Gillespie NA, Medland S, Hickie IB. Early expressions of psychopathology and risk associated with trans-diagnostic transition to mood and psychotic disorders in adolescents and young adults. PLoS One 2021; 16:e0252550. [PMID: 34086749 PMCID: PMC8177455 DOI: 10.1371/journal.pone.0252550] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Accepted: 05/17/2021] [Indexed: 02/03/2023] Open
Abstract
OBJECTIVES The heterogeneity and comorbidity of major mental disorders presenting in adolescents and young adults has fostered calls for trans-diagnostic research. This study examines early expressions of psychopathology and risk and trans-diagnostic caseness in a community cohort of twins and non-twin siblings. METHODS Using data from the Brisbane Longitudinal Twin Study, we estimated median number of self-rated psychiatric symptoms, prevalence of subthreshold syndromes, family history of mood and/or psychotic disorders, and likelihood of subsequent trans-diagnostic caseness (individuals meeting diagnostic criteria for mood and/or psychotic syndromes). Next, we used cross-validated Chi-Square Automatic Interaction Detector (CHAID) analyses to identify the nature and relative importance of individual self-rated symptoms that predicted trans-diagnostic caseness. We examined the positive and negative predictive values (PPV; NPV) and accuracy of all classifications (Area under the Curve and 95% confidence intervals: AUC; 95% CI). RESULTS Of 1815 participants (Female 1050, 58%; mean age 26.40), more than one in four met caseness criteria for a mood and/or psychotic disorder. Examination of individual factors indicated that the AUC was highest for subthreshold syndromes, followed by family history then self-rated psychiatric symptoms, and that NPV always exceeded PPV for caseness. In contrast, the CHAID analysis (adjusted for age, sex, twin status) generated a classification tree comprising six trans-diagnostic symptoms. Whilst the contribution of two symptoms (need for sleep; physical activity) to the model was more difficult to interpret, CHAID analysis indicated that four self-rated symptoms (sadness; feeling overwhelmed; impaired concentration; paranoia) offered the best discrimination between cases and non-cases. These four symptoms showed different associations with family history status. CONCLUSIONS The findings need replication in independent cohorts. However, the use of CHAID might provide a means of identifying specific subsets of trans-diagnostic symptoms representing clinical phenotypes that predict transition to caseness in individuals at risk of onset of major mental disorders.
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Affiliation(s)
- Jan Scott
- Brain and Mind Centre, The University of Sydney, Sydney, Australia
- Institute of Neuroscience, Newcastle University, Newcastle, United Kingdom
- * E-mail:
| | - Jacob J. Crouse
- Brain and Mind Centre, The University of Sydney, Sydney, Australia
| | - Nicholas Ho
- Brain and Mind Centre, The University of Sydney, Sydney, Australia
| | - Frank Iorfino
- Brain and Mind Centre, The University of Sydney, Sydney, Australia
| | - Nicholas Martin
- QIMR Berghofer Institute of Medical Research, Brisbane, Australia
| | - Richard Parker
- QIMR Berghofer Institute of Medical Research, Brisbane, Australia
| | - John McGrath
- QIMR Berghofer Institute of Medical Research, Brisbane, Australia
| | - Nathan A. Gillespie
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, United States of America
| | - Sarah Medland
- QIMR Berghofer Institute of Medical Research, Brisbane, Australia
- Institute of Molecular Bioscience, The University of Queensland, Brisbane, Australia
| | - Ian B. Hickie
- Brain and Mind Centre, The University of Sydney, Sydney, Australia
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Crouse JJ, Morley KC, Buckley N, Dawson A, Seth D, Monds LA, Tickell A, Kay-Lambkin F, Chitty KM. Online interventions for people hospitalized for deliberate self-harm and problematic alcohol use: Lessons learned from the iiAIM trial. Bull Menninger Clin 2021; 85:123-142. [PMID: 34032460 DOI: 10.1521/bumc.2021.85.2.123] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Deliberate self-harm and suicide affect all age groups, sexes, and regions, and their prevention is a global health priority. Acute alcohol misuse and chronic alcohol misuse are strong, modifiable risk factors, and Internet interventions aiming to reduce alcohol misuse and comorbid mental health problems (e.g., depression) are a promising and effective treatment modality. The research team aimed to evaluate the feasibility and effectiveness of an Internet-based comorbidity intervention primarily aiming to reduce alcohol consumption, and secondarily to reduce readmission for deliberate self-harm and improve psychological outcomes among people hospitalized for deliberate self-harm who also engage in problematic alcohol use. However, due to several barriers to recruitment, the trial could not be completed and was discontinued. The authors present a "Lessons Learned" discussion and describe the Internet Intervention for Alcohol Improvement (iiAIM) trial, discuss the key barriers experienced by the research team, and recommend potential solutions that may help future trials in this area.
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Affiliation(s)
- Jacob J Crouse
- University of Sydney, Youth Mental Health and Technology Team, Brain & Mind Centre, Central Clinical School, Sydney, NSW, Australia
| | - Kirsten C Morley
- University of Sydney, Discipline of Addiction Medicine, Central Clinical School, Sydney, NSW, Australia
| | - Nicholas Buckley
- University of Sydney Faculty of Medicine and Health, Discipline of Pharmacology, Translational Australian Clinical Toxicology Program, Sydney, NSW, Australia
| | - Andrew Dawson
- University of Sydney Faculty of Medicine and Health, Discipline of Pharmacology, Translational Australian Clinical Toxicology Program, Sydney, NSW, Australia.,Royal Prince Alfred Hospital, Drug Health Services, Sydney, NSW, Australia
| | - Devanshi Seth
- Royal Prince Alfred Hospital, Drug Health Services, Sydney, NSW, Australia.,University of Sydney, Centenary Institute of Cancer Medicine and Cell Biology, Sydney, NSW, Australia, and the University of Sydney, Faculty of Medicine and Health, Sydney, NSW, Australia
| | - Lauren A Monds
- University of Sydney, Discipline of Addiction Medicine, Central Clinical School, Sydney, NSW, Australia
| | - Ashleigh Tickell
- University of Sydney, Youth Mental Health and Technology Team, Brain & Mind Centre, Central Clinical School, Sydney, NSW, Australia
| | - Frances Kay-Lambkin
- University of Newcastle, Centre for Brain and Mental Health Priority Research Centre, Newcastle, Australia
| | - Kate M Chitty
- University of Sydney Faculty of Medicine and Health, Discipline of Pharmacology, Translational Australian Clinical Toxicology Program, Sydney, NSW, Australia
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Crouse JJ, Ho N, Scott J, Martin NG, Couvy-Duchesne B, Hermens DF, Parker R, Gillespie NA, Medland SE, Hickie IB. Days out of role and somatic, anxious-depressive, hypo-manic, and psychotic-like symptom dimensions in a community sample of young adults. Transl Psychiatry 2021; 11:285. [PMID: 33986245 PMCID: PMC8119948 DOI: 10.1038/s41398-021-01390-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Revised: 03/25/2021] [Accepted: 04/14/2021] [Indexed: 02/03/2023] Open
Abstract
Improving our understanding of the causes of functional impairment in young people is a major global challenge. Here, we investigated the relationships between self-reported days out of role and the total quantity and different patterns of self-reported somatic, anxious-depressive, psychotic-like, and hypomanic symptoms in a community-based cohort of young adults. We examined self-ratings of 23 symptoms ranging across the four dimensions and days out of role in >1900 young adult twins and non-twin siblings participating in the "19Up" wave of the Brisbane Longitudinal Twin Study. Adjusted prevalence ratios (APR) and 95% confidence intervals (95% CI) quantified associations between impairment and different symptom patterns. Three individual symptoms showed significant associations with days out of role, with the largest association for impaired concentration. When impairment was assessed according to each symptom dimension, there was a clear stepwise relationship between the total number of somatic symptoms and the likelihood of impairment, while individuals reporting ≥4 anxious-depressive symptoms or five hypomanic symptoms had greater likelihood of reporting days out of role. Furthermore, there was a stepwise relationship between the total number of undifferentiated symptoms and the likelihood of reporting days out of role. There was some suggestion of differences in the magnitude and significance of associations when the cohort was stratified according to sex, but not for age or twin status. Our findings reinforce the development of early intervention mental health frameworks and, if confirmed, support the need to consider interventions for subthreshold and/or undifferentiated syndromes for reducing disability among young people.
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Affiliation(s)
- Jacob J Crouse
- Youth Mental Health & Technology Team, Brain and Mind Centre, University of Sydney, Sydney, Australia.
| | - Nicholas Ho
- Youth Mental Health & Technology Team, Brain and Mind Centre, University of Sydney, Sydney, Australia
| | - Jan Scott
- Youth Mental Health & Technology Team, Brain and Mind Centre, University of Sydney, Sydney, Australia
- Academic Psychiatry, Institute of Neuroscience, Newcastle University, Newcastle, UK
- Diderot University, Paris, France
- Norwegian University of Science and Technology, Trondheim, Norway
| | | | - Baptiste Couvy-Duchesne
- QIMR Berghofer Institute of Medical Research, Brisbane, Australia
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Australia
- ARAMIS Laboratory, Paris Brain Institute, Paris, France
| | - Daniel F Hermens
- Thompson Institute, University of the Sunshine Coast, Birtinya, Australia
| | - Richard Parker
- QIMR Berghofer Institute of Medical Research, Brisbane, Australia
| | - Nathan A Gillespie
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Virginia, USA
| | - Sarah E Medland
- QIMR Berghofer Institute of Medical Research, Brisbane, Australia
| | - Ian B Hickie
- Youth Mental Health & Technology Team, Brain and Mind Centre, University of Sydney, Sydney, Australia
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Crouse JJ, Carpenter JS, Iorfino F, Lin T, Ho N, Byrne EM, Henders AK, Wallace L, Hermens DF, Scott EM, Wray NR, Hickie IB. Schizophrenia polygenic risk scores in youth mental health: preliminary associations with diagnosis, clinical stage and functioning. BJPsych Open 2021; 7:e58. [PMID: 33612137 PMCID: PMC8058892 DOI: 10.1192/bjo.2021.14] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND The schizophrenia polygenic risk score (SCZ-PRS) is an emerging tool in psychiatry. AIMS We aimed to evaluate the utility of SCZ-PRS in a young, transdiagnostic, clinical cohort. METHOD SCZ-PRSs were calculated for young people who presented to early-intervention youth mental health clinics, including 158 patients of European ancestry, 113 of whom had longitudinal outcome data. We examined associations between SCZ-PRS and diagnosis, clinical stage and functioning at initial assessment, and new-onset psychotic disorder, clinical stage transition and functional course over time in contact with services. RESULTS Compared with a control group, patients had elevated PRSs for schizophrenia, bipolar disorder and depression, but not for any non-psychiatric phenotype (for example cardiovascular disease). Higher SCZ-PRSs were elevated in participants with psychotic, bipolar, depressive, anxiety and other disorders. At initial assessment, overall SCZ-PRSs were associated with psychotic disorder (odds ratio (OR) per s.d. increase in SCZ-PRS was 1.68, 95% CI 1.08-2.59, P = 0.020), but not assignment as clinical stage 2+ (i.e. discrete, persistent or recurrent disorder) (OR = 0.90, 95% CI 0.64-1.26, P = 0.53) or functioning (R = 0.03, P = 0.76). Longitudinally, overall SCZ-PRSs were not significantly associated with new-onset psychotic disorder (OR = 0.84, 95% CI 0.34-2.03, P = 0.69), clinical stage transition (OR = 1.02, 95% CI 0.70-1.48, P = 0.92) or persistent functional impairment (OR = 0.84, 95% CI 0.52-1.38, P = 0.50). CONCLUSIONS In this preliminary study, SCZ-PRSs were associated with psychotic disorder at initial assessment in a young, transdiagnostic, clinical cohort accessing early-intervention services. Larger clinical studies are needed to further evaluate the clinical utility of SCZ-PRSs, especially among individuals with high SCZ-PRS burden.
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Affiliation(s)
- Jacob J Crouse
- Youth Mental Health & Technology Team, Brain and Mind Centre, University of Sydney, Australia
| | - Joanne S Carpenter
- Youth Mental Health & Technology Team, Brain and Mind Centre, University of Sydney, Australia
| | - Frank Iorfino
- Youth Mental Health & Technology Team, Brain and Mind Centre, University of Sydney, Australia
| | - Tian Lin
- Queensland Brain Institute, University of Queensland, Australia; and Institute of Molecular Bioscience, University of Queensland, Australia
| | - Nicholas Ho
- Youth Mental Health & Technology Team, Brain and Mind Centre, University of Sydney, Australia
| | - Enda M Byrne
- Institute of Molecular Bioscience, University of Queensland, Australia
| | - Anjali K Henders
- Institute of Molecular Bioscience, University of Queensland, Australia
| | - Leanne Wallace
- Institute of Molecular Bioscience, University of Queensland, Australia
| | - Daniel F Hermens
- Sunshine Coast Mind and Neuroscience Thompson Institute, University of the Sunshine Coast, Australia
| | - Elizabeth M Scott
- St Vincent's and Mater Clinical School, The University of Notre Dame, Australia
| | - Naomi R Wray
- Queensland Brain Institute, University of Queensland, Australia; and Institute of Molecular Bioscience, University of Queensland, Australia
| | - Ian B Hickie
- Youth Mental Health & Technology Team, Brain and Mind Centre, University of Sydney, Australia
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Gehue LJ, Crouse JJ, Battisti RA, Yim M, Carpenter JS, Scott EM, Hickie IB. Piloting the 'Youth Early-intervention Study' ('YES'): Preliminary functional outcomes of a randomized controlled trial targeting social participation and physical well-being in young people with emerging mental disorders. J Affect Disord 2021; 280:180-188. [PMID: 33217700 DOI: 10.1016/j.jad.2020.10.070] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Revised: 09/07/2020] [Accepted: 10/31/2020] [Indexed: 11/28/2022]
Abstract
INTRODUCTION Young people with mental disorders present with diverse social, vocational, physical, and developmental needs. However, multifaceted interventions are rare. We examine the effectiveness of a clinical trial targeting social participation and physical well-being in young people accessing clinical services. METHODS The 'Youth Early-intervention Study' ('YES') was an unblinded, two-phase, pilot randomized controlled trial offered as an adjunct to standard clinical care, consisting of group activities. Mixed effects models were used to examine functional outcomes over time measured by the 'Social and Occupational Functioning Assessment Scale', 'Functioning Assessment Short Test', and 'Brief Disability Questionnaire' (items 7 and 8). RESULTS 133 participants aged 14-25 were recruited. 87 participants completed both arms and 83 participants completed a 12-month post-trial assessment. Functioning improved across all outcomes. While diagnoses differed in functioning at baseline (lower functioning in psychotic and bipolar disorders compared to depression), they did not differ in the rate of improvement across any measure. Randomization groups did not differ in baseline functioning or the rate of improvement, suggesting a non-specific impact of the intervention. Engagement with education increased from 11% at baseline to 51% at 12-months post-trial and full-time employment increased from 8% at baseline to 20% at 12-months post-trial. LIMITATIONS Small sample, no control group, and unmeasured potential moderators (e.g. neurocognitive impairment). CONCLUSIONS 'YES' was effective and preliminary positive outcomes were observed across all functional outcomes. Future studies should compare the 'YES' intervention to a treatment-as-usual control condition and conduct a multi-centre trial across early intervention service sites.
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Affiliation(s)
- Lillian J Gehue
- Youth Mental Health and Technology Team, Brain and Mind Centre, University of Sydney, NSW, Australia
| | - Jacob J Crouse
- Youth Mental Health and Technology Team, Brain and Mind Centre, University of Sydney, NSW, Australia.
| | - Robert A Battisti
- Cancer Centre for Children, The Children's Hospital at Westmead, NSW, Australia
| | - Mark Yim
- St Vincent's Private Hospital, Sydney, NSW, Australia
| | - Joanne S Carpenter
- Youth Mental Health and Technology Team, Brain and Mind Centre, University of Sydney, NSW, Australia
| | - Elizabeth M Scott
- Youth Mental Health and Technology Team, Brain and Mind Centre, University of Sydney, NSW, Australia; St Vincent's and Mater Clinical School, The University of Notre Dame, NSW, Australia
| | - Ian B Hickie
- Youth Mental Health and Technology Team, Brain and Mind Centre, University of Sydney, NSW, Australia
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Sacks DD, Lagopoulos J, Hatton SN, Iorfino F, Carpenter JS, Crouse JJ, Naismith SL, Scott EM, Hickie IB, Hermens DF. White Matter Integrity According to the Stage of Mental Disorder in Youth. Psychiatry Res Neuroimaging 2021; 307:111218. [PMID: 33162289 DOI: 10.1016/j.pscychresns.2020.111218] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2020] [Revised: 07/31/2020] [Accepted: 10/30/2020] [Indexed: 10/23/2022]
Abstract
The present study investigated differences in white matter (WM) integrity between 96 young people with affective and/or psychotic symptoms classified at an early stage of mental disorder (i.e. 'attenuated syndrome'; stage 1b), 85 young people classified at a more advanced stage of mental disorder (i.e. 'discrete disorder'; stage 2), and 81 demographically matched healthy controls using diffusion tensor imaging. The relationship between WM integrity (indexed by fractional anisotropy; FA) across the tracts and neuropsychological functioning was also investigated. A significant reduction in FA was identified in those with more advanced disorder in the body of the corpus callosum. Clinical stage groups were associated with significant neuropsychological impairment, which was significantly greater in those with discrete disorders. Compared to those in the earlier stage of disorder, participants at the later clinical stage showed decreased FA in the body of the corpus callosum that was associated with worse performance in attentional set formation maintenance, shifting and flexibility. These results provide further support for clinical staging of mental disorder and highlight the potential for utilising neuroanatomical biomarkers to support the classification of stages of mental disorder in the future.
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Affiliation(s)
- Dashiell D Sacks
- Thompson Institute, University of the Sunshine Coast, QLD, Australia.
| | - Jim Lagopoulos
- Thompson Institute, University of the Sunshine Coast, QLD, Australia
| | - Sean N Hatton
- Department of Neuroscience, University of California, San Diego, CA, USA
| | - Frank Iorfino
- Brain & Mind Centre, University of Sydney, NSW, Australia
| | | | - Jacob J Crouse
- Brain & Mind Centre, University of Sydney, NSW, Australia
| | | | | | - Ian B Hickie
- Brain & Mind Centre, University of Sydney, NSW, Australia
| | - Daniel F Hermens
- Thompson Institute, University of the Sunshine Coast, QLD, Australia
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Crouse JJ, Chitty KM, White D, Lee RSC, Moustafa AA, Naismith SL, Scott J, Hermens DF, Hickie IB. Modelling change in neurocognition, symptoms and functioning in young people with emerging mental disorders. J Psychiatr Res 2020; 131:22-30. [PMID: 32916374 DOI: 10.1016/j.jpsychires.2020.08.028] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2020] [Revised: 08/11/2020] [Accepted: 08/22/2020] [Indexed: 02/08/2023]
Abstract
Mental disorders and their functional impacts evolve dynamically over time. Neurocognition and clinical symptoms are commonly modelled as predictors of functioning, however, studies tend to rely on static variables and adult samples with chronic disorders, with limited research investigating change in these variables in young people with emerging mental disorders. These relationships were explored in a longitudinal clinical cohort of young people accessing early intervention mental health services in Australia, around three-quarters of whom presented with a mood disorder (N = 176, aged 12-30 at baseline). Bivariate latent change score models quantified associations between neurocognition (a latent variable of working memory, verbal memory, visuospatial memory, and cognitive flexibility), global clinical symptoms, and functioning (self- and clinician-rated) and their relative change over follow-up (median = 20 months). We found that longitudinal changes in functioning were coupled with changes in global clinical symptoms (β = -0.43, P < 0.001), such that improvement in functioning was related to improvement in clinical symptoms. Changes in neurocognition were not significantly associated with changes in functioning or clinical symptoms. Main findings were upheld in three sensitivity analyses restricting the sample to: (a) adults aged 18-30; (b) participants with 12-24 months of follow-up; and (c) participants without a psychotic disorder. Our findings show that global symptom reduction and functional improvement are related in young people with emerging mental disorders. More work is needed to determine the temporal precedence of change in these variables. Future studies should apply this methodology to intervention studies to untangle the causal dynamics between neurocognition, symptoms, and functioning.
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Affiliation(s)
- Jacob J Crouse
- Youth Mental Health and Technology Team, Brain and Mind Centre, University of Sydney, NSW, Australia.
| | - Kate M Chitty
- The University of Sydney Faculty of Medicine and Health, Discipline of Pharmacology, Translational Australian Clinical Toxicology Program, Sydney, NSW, 2006, Australia
| | - Django White
- Youth Mental Health and Technology Team, Brain and Mind Centre, University of Sydney, NSW, Australia
| | - Rico S C Lee
- Turner Institute for Brain and Mental Health, Monash University, VIC, Australia
| | - Ahmed A Moustafa
- MARCS Institute for Brain, Development, and Behaviour, NSW, Australia; School of Social Sciences and Psychology, Western Sydney University, Australia
| | - Sharon L Naismith
- Healthy Brain Ageing Clinic, Brain and Mind Centre, University of Sydney, NSW, Australia; Charles Perkins Centre, University of Sydney, NSW, Australia
| | - Jan Scott
- Academic Psychiatry, Institute of Neuroscience, University of Newcastle, UK; Diderot University, Sorbonne City, Paris, France; Norwegian University of Science and Technology, Trondheim, Norway
| | - Daniel F Hermens
- Youth Mental Health and Technology Team, Brain and Mind Centre, University of Sydney, NSW, Australia; Thompson Institute, University of the Sunshine Coast, Birtinya, QLD, Australia
| | - Ian B Hickie
- Youth Mental Health and Technology Team, Brain and Mind Centre, University of Sydney, NSW, Australia
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Rohleder C, Song YJC, Crouse JJ, Davenport TA, Iorfino F, Hamilton B, Zmicerevska N, Nichles A, Carpenter JS, Tickell AM, Wilson C, Cross SP, Guastella AJ, Koethe D, Leweke FM, Scott EM, Hickie IB. Youth Mental Health Tracker: protocol to establish a longitudinal cohort and research database for young people attending Australian mental health services. BMJ Open 2020; 10:e035379. [PMID: 32513883 PMCID: PMC7282334 DOI: 10.1136/bmjopen-2019-035379] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Revised: 02/12/2020] [Accepted: 05/05/2020] [Indexed: 12/11/2022] Open
Abstract
INTRODUCTION Mental disorders are a leading cause of long-term disability worldwide. Much of the burden of mental ill-health is mediated by early onset, comorbidities with physical health conditions and chronicity of the illnesses. This study aims to track the early period of mental disorders among young people presenting to Australian mental health services to facilitate more streamlined transdiagnostic processes, highly personalised and measurement-based care, secondary prevention and enhanced long-term outcomes. METHODS AND ANALYSIS Recruitment to this large-scale, multisite, prospective, transdiagnostic, longitudinal clinical cohort study ('Youth Mental Health Tracker') will be offered to all young people between the ages of 12 and 30 years presenting to participating services with proficiency in English and no history of intellectual disability. Young people will be tracked over 3 years with standardised assessments at baseline and 3, 6, 12, 24 and 36 months. Assessments will include self-report and clinician-administered measures, covering five key domains including: (1) social and occupational function; (2) self-harm, suicidal thoughts and behaviour; (3) alcohol or other substance misuse; (4) physical health; and (5) illness type, clinical stage and trajectory. Data collection will be facilitated by the use of health information technology. The data will be used to: (1) determine prospectively the course of multidimensional functional outcomes, based on the differential impact of demographics, medication, psychological interventions and other key potentially modifiable moderator variables and (2) map pathophysiological mechanisms and clinical illness trajectories to determine transition rates of young people to more severe illness forms. ETHICS AND DISSEMINATION The study has been reviewed and approved by the Human Research Ethics Committee of the Sydney Local Health District (2019/ETH00469). All data will be non-identifiable, and research findings will be disseminated through peer-reviewed journals and scientific conference presentations.
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Affiliation(s)
- Cathrin Rohleder
- Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
| | | | - Jacob J Crouse
- Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Tracey A Davenport
- Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Frank Iorfino
- Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Blake Hamilton
- Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Natalia Zmicerevska
- Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Alissa Nichles
- Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Joanne S Carpenter
- Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Ashleigh M Tickell
- Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Chloe Wilson
- Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Shane P Cross
- Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Adam J Guastella
- Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Dagmar Koethe
- Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
| | - F Markus Leweke
- Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Elizabeth M Scott
- Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Ian B Hickie
- Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
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Carpenter JS, Iorfino F, Cross S, Nichles A, Zmicerevska N, Crouse JJ, Palmer JR, Whitton AE, White D, Naismith SL, Guastella AJ, Hermens DF, Scott J, Scott EM, Hickie IB. Cohort profile: the Brain and Mind Centre Optymise cohort: tracking multidimensional outcomes in young people presenting for mental healthcare. BMJ Open 2020; 10:e030985. [PMID: 32229519 PMCID: PMC7170572 DOI: 10.1136/bmjopen-2019-030985] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
PURPOSE The Brain and Mind Centre (BMC) Optymise cohort assesses multiple clinical and functional domains longitudinally in young people presenting for mental health care and treatment. Longitudinal tracking of this cohort will allow investigation of the relationships between multiple outcome domains across the course of care. Subsets of Optymise have completed detailed neuropsychological and neurobiological assessments, permitting investigation of associations between these measures and longitudinal course. PARTICIPANTS Young people (aged 12-30) presenting to clinics coordinated by the BMC were recruited to a research register (n=6743) progressively between June 2008 and July 2018. To date, 2767 individuals have been included in Optymise based on the availability of at least one detailed clinical assessment. MEASURES Trained researchers use a clinical research proforma to extract key data from clinical files to detail social and occupational functioning, clinical presentation, self-harm and suicidal thoughts and behaviours, alcohol and other substance use, physical health comorbidities, personal and family history of mental illness, and treatment utilisation at the following time points: baseline, 3, 6, 12, 24, 36, 48, and 60 months, and time last seen. FINDINGS TO DATE There is moderate to substantial agreement between raters for data collected via the proforma. While wide variations in individual illness course are clear, social and occupational outcomes suggest that the majority of cohort members show no improvement in functioning over time. Differential rates of longitudinal transition are reported between early and late stages of illness, with a number of baseline factors associated with these transitions. Furthermore, there are longitudinal associations between prior suicide attempts and inferior clinical and functional outcomes. FUTURE PLANS Future reports will detail the longitudinal course of each outcome domain and examine multidirectional relationships between these domains both cross-sectionally and longitudinally, and explore in subsets the associations between detailed neurobiological measures and clinical, social and functional outcomes.
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Affiliation(s)
- Joanne S Carpenter
- Brain & Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Frank Iorfino
- Brain & Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Shane Cross
- Brain & Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
- School of Psychology, The University of Sydney, Camperdown, New South Wales, Australia
| | - Alissa Nichles
- Brain & Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Natalia Zmicerevska
- Brain & Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Jacob J Crouse
- Brain & Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Jake R Palmer
- Brain & Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
- Department of Psychology, Macquarie University, Sydney, New South Wales, Australia
| | - Alexis E Whitton
- Brain & Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Django White
- Brain & Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Sharon L Naismith
- Brain & Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
- School of Psychology, The University of Sydney, Camperdown, New South Wales, Australia
- Charles Perkins Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Adam J Guastella
- Brain & Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Daniel F Hermens
- Brain & Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
- Thompson Institute, University of the Sunshine Coast, Birtinya, Queensland, Australia
| | - Jan Scott
- Brain & Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
- Department of Academic Psychiatry, Newcastle University, Newcastle, United Kingdom
- Diderot University, Sorbonne City, Paris, France
| | - Elizabeth M Scott
- Brain & Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
- School of Medicine, University of Notre Dame, Sydney, New South Wales, Australia
| | - Ian B Hickie
- Brain & Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
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Crouse JJ, Chitty KM, Iorfino F, Carpenter JS, White D, Nichles A, Zmicerevska N, Tickell AM, Lee RSC, Naismith SL, Scott EM, Scott J, Hermens DF, Hickie IB. Transdiagnostic neurocognitive subgroups and functional course in young people with emerging mental disorders: a cohort study. BJPsych Open 2020; 6:e31. [PMID: 32191172 PMCID: PMC7176869 DOI: 10.1192/bjo.2020.12] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Abstract
BACKGROUND Neurocognitive impairments robustly predict functional outcome. However, heterogeneity in neurocognition is common within diagnostic groups, and data-driven analyses reveal homogeneous neurocognitive subgroups cutting across diagnostic boundaries. AIMS To determine whether data-driven neurocognitive subgroups of young people with emerging mental disorders are associated with 3-year functional course. METHOD Model-based cluster analysis was applied to neurocognitive test scores across nine domains from 629 young people accessing mental health clinics. Cluster groups were compared on demographic, clinical and substance-use measures. Mixed-effects models explored associations between cluster-group membership and socio-occupational functioning (using the Social and Occupational Functioning Assessment Scale) over 3 years, adjusted for gender, premorbid IQ, level of education, depressive, positive, negative and manic symptoms, and diagnosis of a primary psychotic disorder. RESULTS Cluster analysis of neurocognitive test scores derived three subgroups described as 'normal range' (n = 243, 38.6%), 'intermediate impairment' (n = 252, 40.1%), and 'global impairment' (n = 134, 21.3%). The major mental disorder categories (depressive, anxiety, bipolar, psychotic and other) were represented in each neurocognitive subgroup. The global impairment subgroup had lower functioning for 3 years of follow-up; however, neither the global impairment (B = 0.26, 95% CI -0.67 to 1.20; P = 0.581) or intermediate impairment (B = 0.46, 95% CI -0.26 to 1.19; P = 0.211) subgroups differed from the normal range subgroup in their rate of change in functioning over time. CONCLUSIONS Neurocognitive impairment may follow a continuum of severity across the major syndrome-based mental disorders, with data-driven neurocognitive subgroups predictive of functional course. Of note, the global impairment subgroup had longstanding functional impairment despite continuing engagement with clinical services.
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Affiliation(s)
| | - Kate M Chitty
- Translational Australian Clinical Toxicology (TACT) Research Group, University of Sydney, NSW, Australia
| | - Frank Iorfino
- Brain and Mind Centre, University of Sydney, Australia; and InnoWell, Pty Ltd, Australia
| | | | - Django White
- The Black Dog Institute, University of New South Wales, Australia
| | | | | | | | - Rico S C Lee
- Turner Institute for Brain and Mental Health, Monash University, Australia
| | - Sharon L Naismith
- Charles Perkins Centre, University of Sydney; and Brain and Mind Centre, University of Sydney, Australia
| | | | - Jan Scott
- Academic Psychiatry, Institute of Neuroscience, Newcastle University, UK
| | - Daniel F Hermens
- Sunshine Coast Mind and Neuroscience Thompson Institute, University of the Sunshine Coast, Australia
| | - Ian B Hickie
- Brain and Mind Centre, University of Sydney, Australia
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Hickie IB, Scott EM, Cross SP, Iorfino F, Davenport TA, Guastella AJ, Naismith SL, Carpenter JS, Rohleder C, Crouse JJ, Hermens DF, Koethe D, Markus Leweke F, Tickell AM, Sawrikar V, Scott J. Right care, first time: a highly personalised and measurement-based care model to manage youth mental health. Med J Aust 2020; 211 Suppl 9:S3-S46. [PMID: 31679171 DOI: 10.5694/mja2.50383] [Citation(s) in RCA: 55] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Mood and psychotic syndromes most often emerge during adolescence and young adulthood, a period characterised by major physical and social change. Consequently, the effects of adolescent-onset mood and psychotic syndromes can have long term consequences. A key clinical challenge for youth mental health is to develop and test new systems that align with current evidence for comorbid presentations and underlying neurobiology, and are useful for predicting outcomes and guiding decisions regarding the provision of appropriate and effective care. Our highly personalised and measurement-based care model includes three core concepts: ▶ A multidimensional assessment and outcomes framework that includes: social and occupational function; self-harm, suicidal thoughts and behaviour; alcohol or other substance misuse; physical health; and illness trajectory. ▶ Clinical stage. ▶ Three common illness subtypes (psychosis, anxious depression, bipolar spectrum) based on proposed pathophysiological mechanisms (neurodevelopmental, hyperarousal, circadian). The model explicitly aims to prevent progression to more complex and severe forms of illness and is better aligned to contemporary models of the patterns of emergence of psychopathology. Inherent within this highly personalised approach is the incorporation of other evidence-based processes, including real-time measurement-based care as well as utilisation of multidisciplinary teams of health professionals. Data-driven local system modelling and personalised health information technologies provide crucial infrastructure support to these processes for better access to, and higher quality, mental health care for young people. CHAPTER 1: MULTIDIMENSIONAL OUTCOMES IN YOUTH MENTAL HEALTH CARE: WHAT MATTERS AND WHY?: Mood and psychotic syndromes present one of the most serious public health challenges that we face in the 21st century. Factors including prevalence, age of onset, and chronicity contribute to substantial burden and secondary risks such as alcohol or other substance misuse. Mood and psychotic syndromes most often emerge during adolescence and young adulthood, a period characterised by major physical and social change; thus, effects can have long term consequences. We propose five key domains which make up a multidimensional outcomes framework that aims to address the specific needs of young people presenting to health services with emerging mental illness. These include social and occupational function; self-harm, suicidal thoughts and behaviours; alcohol or other substance misuse; physical health; and illness type, stage and trajectory. Impairment and concurrent morbidity are well established in young people by the time they present for mental health care. Despite this, services and health professionals tend to focus on only one aspect of the presentation - illness type, stage and trajectory - and are often at odds with the preferences of young people and their families. There is a need to address the disconnect between mental health, physical health and social services and interventions, to ensure that youth mental health care focuses on the outcomes that matter to young people. CHAPTER 2: COMBINING CLINICAL STAGE AND PATHOPHYSIOLOGICAL MECHANISMS TO UNDERSTAND ILLNESS TRAJECTORIES IN YOUNG PEOPLE WITH EMERGING MOOD AND PSYCHOTIC SYNDROMES: Traditional diagnostic classification systems for mental disorders map poorly onto the early stages of illness experienced by young people, and purport categorical distinctions that are not readily supported by research into genetic, environmental and neurobiological risk factors. Consequently, a key clinical challenge in youth mental health is to develop and test new classification systems that align with current evidence on comorbid presentations, are consistent with current understanding of underlying neurobiology, and provide utility for predicting outcomes and guiding decisions regarding the provision of appropriate and effective care. This chapter outlines a transdiagnostic framework for classifying common adolescent-onset mood and psychotic syndromes, combining two independent but complementary dimensions: clinical staging, and three proposed pathophysiological mechanisms. Clinical staging reflects the progression of mental disorders and is in line with the concept used in general medicine, where more advanced stages are associated with a poorer prognosis and a need for more intensive interventions with a higher risk-to-benefit ratio. The three proposed pathophysiological mechanisms are neurodevelopmental abnormalities, hyperarousal and circadian dysfunction, which, over time, have illness trajectories (or pathways) to psychosis, anxious depression and bipolar spectrum disorders, respectively. The transdiagnostic framework has been evaluated in young people presenting to youth mental health clinics of the University of Sydney's Brain and Mind Centre, alongside a range of clinical and objective measures. Our research to date provides support for this framework, and we are now exploring its application to the development of more personalised models of care. CHAPTER 3: A COMPREHENSIVE ASSESSMENT FRAMEWORK FOR YOUTH MENTAL HEALTH: GUIDING HIGHLY PERSONALISED AND MEASUREMENT-BASED CARE USING MULTIDIMENSIONAL AND OBJECTIVE MEASURES: There is an urgent need for improved care for young people with mental health problems, in particular those with subthreshold mental disorders that are not sufficiently severe to meet traditional diagnostic criteria. New comprehensive assessment frameworks are needed to capture the biopsychosocial profile of a young person to drive highly personalised and measurement-based mental health care. We present a range of multidimensional measures involving five key domains: social and occupational function; self-harm, suicidal thoughts and behaviours; alcohol or other substance misuse; physical health; and illness type, stage and trajectory. Objective measures include: neuropsychological function; sleep-wake behaviours and circadian rhythms; metabolic and immune markers; and brain structure and function. The recommended multidimensional measures facilitate the development of a comprehensive clinical picture. The objective measures help to further develop informative and novel insights into underlying pathophysiological mechanisms and illness trajectories to guide personalised care plans. A panel of specific multidimensional and objective measures are recommended as standard clinical practice, while others are recommended secondarily to provide deeper insights with the aim of revealing alternative clinical paths for targeted interventions and treatments matched to the clinical stage and proposed pathophysiological mechanisms of the young person. CHAPTER 4: PERSONALISING CARE OPTIONS IN YOUTH MENTAL HEALTH: USING MULTIDIMENSIONAL ASSESSMENT, CLINICAL STAGE, PATHOPHYSIOLOGICAL MECHANISMS, AND INDIVIDUAL ILLNESS TRAJECTORIES TO GUIDE TREATMENT SELECTION: New models of mental health care for young people require that interventions be matched to illness type, clinical stage, underlying pathophysiological mechanisms and individual illness trajectories. Narrow syndrome-focused classifications often direct clinical attention away from other key factors such as functional impairment, self-harm and suicidality, alcohol or other substance misuse, and poor physical health. By contrast, we outline a treatment selection guide for early intervention for adolescent-onset mood and psychotic syndromes (ie, active treatments and indicated and more specific secondary prevention strategies). This guide is based on experiences with the Brain and Mind Centre's highly personalised and measurement-based care model to manage youth mental health. The model incorporates three complementary core concepts: ▶A multidimensional assessment and outcomes framework including: social and occupational function; self-harm, suicidal thoughts and behaviours; alcohol or other substance misuse; physical health; and illness trajectory. ▶Clinical stage. ▶Three common illness subtypes (psychosis, anxious depression, bipolar spectrum) based on three underlying pathophysiological mechanisms (neurodevelopmental, hyperarousal, circadian). These core concepts are not mutually exclusive and together may facilitate improved outcomes through a clinical stage-appropriate and transdiagnostic framework that helps guide decisions regarding the provision of appropriate and effective care options. Given its emphasis on adolescent-onset mood and psychotic syndromes, the Brain and Mind Centre's model of care also respects a fundamental developmental perspective - categorising childhood problems (eg, anxiety and neurodevelopmental difficulties) as risk factors and respecting the fact that young people are in a period of major biological and social transition. Based on these factors, a range of social, psychological and pharmacological interventions are recommended, with an emphasis on balancing the personal benefit-to-cost ratio. CHAPTER 5: A SERVICE DELIVERY MODEL TO SUPPORT HIGHLY PERSONALISED AND MEASUREMENT-BASED CARE IN YOUTH MENTAL HEALTH: Over the past decade, we have seen a growing focus on creating mental health service delivery models that better meet the unique needs of young Australians. Recent policy directives from the Australian Government recommend the adoption of stepped-care services to improve the appropriateness of care, determined by severity of need. Here, we propose that a highly personalised approach enhances stepped-care models by incorporating clinical staging and a young person's current and multidimensional needs. It explicitly aims to prevent progression to more complex and severe forms of illness and is better aligned to contemporary models of the patterns of emergence of psychopathology. Inherent within a highly personalised approach is the incorporation of other evidence-based processes, including real-time measurement-based care and use of multidisciplinary teams of health professionals. Data-driven local system modelling and personalised health information technologies provide crucial infrastructure support to these processes for better access to, and higher quality of, mental health care for young people.
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Affiliation(s)
- Ian B Hickie
- Brain and Mind Centre, University of Sydney, Sydney, NSW
| | - Elizabeth M Scott
- Brain and Mind Centre, University of Sydney, Sydney, NSW.,University of Notre Dame Australia, Sydney, NSW
| | - Shane P Cross
- Brain and Mind Centre, University of Sydney, Sydney, NSW
| | - Frank Iorfino
- Brain and Mind Centre, University of Sydney, Sydney, NSW
| | | | | | | | | | | | - Jacob J Crouse
- Brain and Mind Centre, University of Sydney, Sydney, NSW
| | - Daniel F Hermens
- Brain and Mind Centre, University of Sydney, Sydney, NSW.,Sunshine Coast Mind and Neuroscience - Thompson Institute, University of the Sunshine Coast, Birtinya, QLD
| | - Dagmar Koethe
- Brain and Mind Centre, University of Sydney, Sydney, NSW
| | | | | | - Vilas Sawrikar
- Brain and Mind Centre, University of Sydney, Sydney, NSW.,University of Edinburgh, Edinburgh, UK
| | - Jan Scott
- Brain and Mind Centre, University of Sydney, Sydney, NSW.,Institute of Neuroscience, Newcastle University, Newcastle Upon Tyne, UK
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Moustafa AA, Crouse JJ, Herzallah MM, Salama M, Mohamed W, Misiak B, Frydecka D, Al-Dosari NF, Megreya AM, Mattock K. Depression Following Major Life Transitions in Women: A Review and Theory. Psychol Rep 2019; 123:1501-1517. [PMID: 31470771 DOI: 10.1177/0033294119872209] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Depression can occur due to common major life transitions, such as giving birth, menopause, retirement, empty-nest transition, and midlife crisis. Although some of these transitions are perceived as positive (e.g., giving birth), they may still lead to depression. We conducted a systematic literature review of the factors underlying the occurrence of depression following major life transition in some individuals. This review shows that major common life transitions can cause depression if they are sudden, major, and lead to loss (or change) of life roles (e.g., no longer doing motherly or fatherly chores after children leave family home). Accordingly, we provide a theoretical framework that explains depression caused by transitions in women. One of the most potential therapeutic methods of ameliorating depression associated with life transitions is either helping individuals accept their new roles (e.g., accepting new role as a mother to ameliorate postpartum depression symptoms) or providing them with novel life roles (e.g., volunteering after retirement or children leave family home) may help them overcome their illness.
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Affiliation(s)
- Ahmed A Moustafa
- School of Social Sciences and Psychology, Marcs Institute for Brain, Behaviour, and Development, Western Sydney University, Sydney, New South Wales, Australia
| | - Jacob J Crouse
- Clinical Research Unit, Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Mohammad M Herzallah
- Palestinian Neuroscience Initiative, Faculty of Medicine, Al-Quds University, Jerusalem, Palestine; Center for Molecular and Behavioural Neuroscience, Rutgers University, Newark, NJ, USA
| | - Mohamed Salama
- School of Medicine, Mansoura University, Mansoura, Egypt
| | - Wael Mohamed
- International Islamic University Malaysia, Jalan Gombak, Malaysia; Clinical Pharmacology Department, Menoufia Medical School, Menoufia University and American University in Cairo, Cairo, Egypt
| | - Błażej Misiak
- Department of Genetics, Wroclaw Medical University, Wroclaw, Poland
| | - Dorota Frydecka
- Department of Psychiatry, Wroclaw Medical University, Wroclaw, Poland
| | | | | | - Karen Mattock
- School of Social Sciences and Psychology, Marcs Institute for Brain, Behaviour, and Development, Western Sydney University, Sydney, New South Wales, Australia
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Alashwal H, El Halaby M, Crouse JJ, Abdalla A, Moustafa AA. The Application of Unsupervised Clustering Methods to Alzheimer's Disease. Front Comput Neurosci 2019; 13:31. [PMID: 31178711 PMCID: PMC6543980 DOI: 10.3389/fncom.2019.00031] [Citation(s) in RCA: 57] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2019] [Accepted: 04/29/2019] [Indexed: 12/24/2022] Open
Abstract
Clustering is a powerful machine learning tool for detecting structures in datasets. In the medical field, clustering has been proven to be a powerful tool for discovering patterns and structure in labeled and unlabeled datasets. Unlike supervised methods, clustering is an unsupervised method that works on datasets in which there is no outcome (target) variable nor is anything known about the relationship between the observations, that is, unlabeled data. In this paper, we focus on studying and reviewing clustering methods that have been applied to datasets of neurological diseases, especially Alzheimer’s disease (AD). The aim is to provide insights into which clustering technique is more suitable for partitioning patients of AD based on their similarity. This is important as clustering algorithms can find patterns across patients that are difficult for medical practitioners to find. We further discuss the implications of the use of clustering algorithms in the treatment of AD. We found that clustering analysis can point to several features that underlie the conversion from early-stage AD to advanced AD. Furthermore, future work can apply semi-clustering algorithms on AD datasets, which will enhance clusters by including additional information.
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Affiliation(s)
- Hany Alashwal
- Department of Computer Science and Software Engineering, College of Information Technology, United Arab Emirates University, Al-Ain, United Arab Emirates
| | - Mohamed El Halaby
- Department of Mathematics, Faculty of Science, Cairo University, Giza, Egypt
| | - Jacob J Crouse
- Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia
| | - Areeg Abdalla
- Department of Mathematics, Faculty of Science, Cairo University, Giza, Egypt
| | - Ahmed A Moustafa
- School of Social Sciences and Psychology, Western Sydney University, Sydney, NSW, Australia
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Abstract
INTRODUCTION Evidence suggests that patients with psychosis who have a history of cannabis use, but currently abstain, demonstrate superior cognitive performance than patients who have never used cannabis. The present study aimed to determine the neurocognitive profiles of patients who are in adolescence or early adulthood, when both illness- and drug-onset typically occur. METHODS Subjects were 24 cannabis-using and 79 cannabis-naïve psychosis patients between 16 and 25 years of age. Patients and controls were administered a neurocognitive battery, indexing estimated pre-morbid intelligence, psychomotor speed, mental flexibility, verbal learning and memory, verbal fluency, sustained attention, motor and mental response, and visuospatial learning and memory. RESULTS While healthy controls outperformed both patient groups across most cognitive measures, no significant differences between cannabis-using and cannabis-abstinent patients were evident. CONCLUSION Evidently although there may be a group of patients who are diagnosed with a non-affective psychosis disorder regardless of external factors (i.e. cannabis use), some may instead have their illness precipitated through cannabis use at a young age, presenting with unique cognitive and symptomatic repercussions later in life. These results demonstrate no cognitive differences between cannabis-using patients and abstinent patients at the time of illness-onset, providing partial support for an alternative pathway to schizophrenia through early cannabis use.
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Affiliation(s)
- Sophia E R Bogaty
- a Youth Mental Health Team, Brain and Mind Centre , University of Sydney , Sydney , Australia
| | - Jacob J Crouse
- a Youth Mental Health Team, Brain and Mind Centre , University of Sydney , Sydney , Australia
| | - Ian B Hickie
- a Youth Mental Health Team, Brain and Mind Centre , University of Sydney , Sydney , Australia
| | - Daniel F Hermens
- a Youth Mental Health Team, Brain and Mind Centre , University of Sydney , Sydney , Australia.,b Sunshine Coast Mind and Neuroscience Thompson Institute , University of the Sunshine Coast , Birtinya , Australia
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Levy-Gigi E, Haim-Nachum S, Hall JM, Crouse JJ, Winwood-Smith R, Lewis SJ, Moustafa AA. The interactive effect of valence and context on reversal learning in individuals with Parkinson’s disease. Neurosci Lett 2019; 692:216-224. [DOI: 10.1016/j.neulet.2018.11.006] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2018] [Revised: 10/24/2018] [Accepted: 11/04/2018] [Indexed: 10/27/2022]
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Crouse JJ, Moustafa AA, Bogaty SER, Hickie IB, Hermens DF. Parcellating cognitive heterogeneity in early psychosis-spectrum illnesses: A cluster analysis. Schizophr Res 2018; 202:91-98. [PMID: 30042029 DOI: 10.1016/j.schres.2018.06.060] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2017] [Revised: 04/04/2018] [Accepted: 06/24/2018] [Indexed: 01/27/2023]
Abstract
Cognitive impairment is argued to represent a core feature of psychosis-spectrum illnesses. However, within-diagnosis heterogeneity is common, and risk factors for poor cognition remain to be examined after statistically accounting for heterogeneity. Accordingly, we used a data-driven technique (cluster analysis) to empirically-derive cognitive clusters across diagnoses and examined whether concurrent substance use or a history of a neurodevelopmental/behavioral disorder differed between clusters. Data from 135 young help-seekers (aged 12-30 years) with a psychosis-spectrum illness were retrospectively analyzed. Ward's hierarchical cluster analysis classified three cognitive clusters characterized by: (1) normal-range; (2) mixed; and (3) grossly-impaired performance. Despite mostly comparable clinical and demographic measures, cluster 1 had superior socio-occupational functioning and the highest estimated premorbid IQ, followed sequentially by clusters 2 and 3. Proportions of cannabis and amphetamine users did not differ significantly across clusters, nor did rates of patients with a neurodevelopmental/behavioral disorder history. Cluster 3 was however comprised of fewer 'risky' drinkers, possibly reflecting reduced opportunity for social drinking associated with cognitive impairment. Estimated premorbid IQ predicted cluster membership (2 vs. 1 & 3 vs. 1), as did clinician-rated socio-occupational functioning and 'not being enrolled in school or tertiary education' (3 vs. 1). Our results suggest that concurrent substance use and history of a neurodevelopmental/behavioral disorder do not adequately explain cluster-level cognitive variance in this sample. Future work should integrate neurobiological measures associated with cognition (e.g. white matter integrity) to discern whether clusters reflect neurobiological subtypes better representative of pathophysiology than present symptom-based classifications.
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Affiliation(s)
- Jacob J Crouse
- Youth Mental Health Team, Brain & Mind Centre, The University of Sydney, NSW, Australia.
| | - Ahmed A Moustafa
- MARCS Institute for Brain, Behaviour & Development, NSW, Australia; School of Social Sciences & Psychology, Western Sydney University, NSW, Australia; Department of Social Sciences, College of Arts and Sciences, Qatar University, Doha, Qatar
| | - Sophia E R Bogaty
- Youth Mental Health Team, Brain & Mind Centre, The University of Sydney, NSW, Australia
| | - Ian B Hickie
- Youth Mental Health Team, Brain & Mind Centre, The University of Sydney, NSW, Australia
| | - Daniel F Hermens
- Youth Mental Health Team, Brain & Mind Centre, The University of Sydney, NSW, Australia; Sunshine Coast Mind & Neuroscience - Thompson Institute, University of the Sunshine Coast, QLD, Australia
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Crouse JJ, Lee RSC, White D, Moustafa AA, Hickie IB, Hermens DF. Distress and sleep quality in young amphetamine-type stimulant users with an affective or psychotic illness. Psychiatry Res 2018; 262:254-261. [PMID: 29475104 DOI: 10.1016/j.psychres.2018.02.033] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2017] [Revised: 02/02/2018] [Accepted: 02/14/2018] [Indexed: 01/30/2023]
Abstract
Misuse of amphetamine-type stimulant (ATS) drugs may disrupt key neurodevelopmental processes in young people and confer protracted neurocognitive and psychopathological harm. ATS users with a co-occurring psychiatric illness are typically excluded from research, reducing generalisability of findings. Accordingly, we conducted a cross-sectional examination of key clinical, sleep, socio-occupational and neurocognitive measures in current, past and never users of ATS drugs who were accessing a youth mental health service (headspace) for affective- or psychotic-spectrum illnesses. Contrary to hypotheses, groups did not differ in psychotic symptomology, socio-occupational functioning or neurocognitive performance. Current ATS users were however significantly more distressed and reported poorer subjective sleep quality and greater subjective sleep disturbances than never users, with a trend toward greater depressive symptomology in current users. Regression analyses revealed that depressive symptoms, daily ATS use and socio-occupational functioning predicted distress, and depressive symptoms and distress predicted subjective sleep quality. Our findings suggest that distress and poor sleep quality reflect a particular pathophysiology among ATS-using patients, which may negatively impact treatment engagement. Delineating the factors that disrupt social and neurobiological development in young people (such as substance use) warrants further investigation, including longitudinal study.
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Affiliation(s)
- Jacob J Crouse
- Youth Mental Health Team, Brain and Mind Centre, University of Sydney, NSW, Australia.
| | - Rico S C Lee
- Youth Mental Health Team, Brain and Mind Centre, University of Sydney, NSW, Australia; Brain and Mental Health Laboratory, Monash University, VIC, Australia
| | - Django White
- Youth Mental Health Team, Brain and Mind Centre, University of Sydney, NSW, Australia
| | - Ahmed A Moustafa
- School of Social Sciences and Psychology, Western Sydney University, NSW, Australia
| | - Ian B Hickie
- Youth Mental Health Team, Brain and Mind Centre, University of Sydney, NSW, Australia
| | - Daniel F Hermens
- Youth Mental Health Team, Brain and Mind Centre, University of Sydney, NSW, Australia; Sunshine Coast Mind and Neuroscience Thompson Institute, University of the Sunshine Coast, QLD, Australia
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Moustafa AA, Chakravarthy S, Phillips JR, Crouse JJ, Gupta A, Frank MJ, Hall JM, Jahanshahi M. Interrelations between cognitive dysfunction and motor symptoms of Parkinson's disease: behavioral and neural studies. Rev Neurosci 2018; 27:535-48. [PMID: 26982614 DOI: 10.1515/revneuro-2015-0070] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2015] [Accepted: 02/21/2016] [Indexed: 01/18/2023]
Abstract
Parkinson's disease (PD) is characterized by a range of motor symptoms. Besides the cardinal symptoms (tremor, bradykinesia/akinesia, and rigidity), PD patients also show other motor deficits, including gait disturbance, speech deficits, and impaired handwriting. However, along with these key motor symptoms, PD patients also experience cognitive deficits in attention, executive function, working memory, and learning. Recent evidence suggests that these motor and cognitive deficits of PD are not completely dissociable, as aspects of cognitive dysfunction can impact motor performance in PD. In this article, we provide a review of behavioral and neural studies on the associations between motor symptoms and cognitive deficits in PD, specifically akinesia/bradykinesia, tremor, gait, handwriting, precision grip, and speech production. This review paves the way for providing a framework for understanding how treatment of cognitive dysfunction, for example cognitive rehabilitation programs, may in turn influence the motor symptoms of PD.
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Crouse JJ, Phillips JR, Jahanshahi M, Moustafa AA. Postural instability and falls in Parkinson’s disease. Rev Neurosci 2016; 27:549-55. [DOI: 10.1515/revneuro-2016-0002] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2016] [Accepted: 02/14/2016] [Indexed: 01/08/2023]
Abstract
AbstractPostural instability (PI) is one of the most debilitating motor symptoms of Parkinson’s disease (PD), as it is associated with an increased risk of falls and subsequent medical complications (e.g. fractures), fear of falling, decreased mobility, self-restricted physical activity, social isolation, and decreased quality of life. The pathophysiological mechanisms underlying PI in PD remain elusive. This short review provides a critical summary of the literature on PI in PD, covering the clinical features, the neural and cognitive substrates, and the effects of dopaminergic medications and deep brain stimulation. The delayed effect of dopaminergic medication combined with the success of extrastriatal deep brain stimulation suggests that PI involves neurotransmitter systems other than dopamine and brain regions extending beyond the basal ganglia, further challenging the traditional view of PD as a predominantly single-system neurodegenerative disease.
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Affiliation(s)
- Jacob J. Crouse
- 1School of Social Sciences and Psychology, Western Sydney University, Sydney, New South Wales, 2214, Australia
| | - Joseph R. Phillips
- 1School of Social Sciences and Psychology, Western Sydney University, Sydney, New South Wales, 2214, Australia
| | - Marjan Jahanshahi
- 2Cognitive Motor Neuroscience Group and Unit of Functional Neurosurgery Sobell Department of Motor Neuroscience and Movement Disorders, UCL Institute of Neurology, The National Hospital for Neurology and Neurosurgery London, WC1N 3BG, UK
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Crouse JJ, Moustafa AA. A commentary on: "A 12-year population-based study of freezing of gait in Parkinson's disease". Front Aging Neurosci 2015; 7:106. [PMID: 26082717 PMCID: PMC4451411 DOI: 10.3389/fnagi.2015.00106] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2015] [Accepted: 05/20/2015] [Indexed: 11/13/2022] Open
Affiliation(s)
- Jacob J Crouse
- School of Social Sciences and Psychology, University of Western Sydney Sydney, NSW, Australia
| | - Ahmed A Moustafa
- School of Social Sciences and Psychology, University of Western Sydney Sydney, NSW, Australia ; Marcs Institute for Brain and Behaviour, University of Western Sydney Sydney, NSW, Australia
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