101
|
Yassin W, Nakatani H, Zhu Y, Kojima M, Owada K, Kuwabara H, Gonoi W, Aoki Y, Takao H, Natsubori T, Iwashiro N, Kasai K, Kano Y, Abe O, Yamasue H, Koike S. Machine-learning classification using neuroimaging data in schizophrenia, autism, ultra-high risk and first-episode psychosis. Transl Psychiatry 2020; 10:278. [PMID: 32801298 PMCID: PMC7429957 DOI: 10.1038/s41398-020-00965-5] [Citation(s) in RCA: 58] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/07/2020] [Revised: 07/06/2020] [Accepted: 07/14/2020] [Indexed: 11/09/2022] Open
Abstract
Neuropsychiatric disorders are diagnosed based on behavioral criteria, which makes the diagnosis challenging. Objective biomarkers such as neuroimaging are needed, and when coupled with machine learning, can assist the diagnostic decision and increase its reliability. Sixty-four schizophrenia, 36 autism spectrum disorder (ASD), and 106 typically developing individuals were analyzed. FreeSurfer was used to obtain the data from the participant's brain scans. Six classifiers were utilized to classify the subjects. Subsequently, 26 ultra-high risk for psychosis (UHR) and 17 first-episode psychosis (FEP) subjects were run through the trained classifiers. Lastly, the classifiers' output of the patient groups was correlated with their clinical severity. All six classifiers performed relatively well to distinguish the subject groups, especially support vector machine (SVM) and Logistic regression (LR). Cortical thickness and subcortical volume feature groups were most useful for the classification. LR and SVM were highly consistent with clinical indices of ASD. When UHR and FEP groups were run with the trained classifiers, majority of the cases were classified as schizophrenia, none as ASD. Overall, SVM and LR were the best performing classifiers. Cortical thickness and subcortical volume were most useful for the classification, compared to surface area. LR, SVM, and DT's output were clinically informative. The trained classifiers were able to help predict the diagnostic category of both UHR and FEP Individuals.
Collapse
Affiliation(s)
- Walid Yassin
- Department of Child Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
| | - Hironori Nakatani
- Department of Information Media Technology, School of Information and Telecommunication Engineering, Tokai University, Tokyo, 108-8619, Japan
| | - Yinghan Zhu
- Center for Evolutionary Cognitive Sciences, Graduate School of Arts and Sciences, The University of Tokyo, Tokyo, 153-8902, Japan
| | - Masaki Kojima
- Department of Child Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
| | - Keiho Owada
- Department of Child Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
| | - Hitoshi Kuwabara
- Department of Psychiatry, Hamamatsu University School of Medicine, Hamamatsu City, 431-3192, Japan
| | - Wataru Gonoi
- Department of Radiology, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
| | - Yuta Aoki
- Medical Institute of Developmental Disabilities Research, Showa University, Tokyo, Japan
| | - Hidemasa Takao
- Department of Radiology, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
| | - Tatsunobu Natsubori
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
| | - Norichika Iwashiro
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
| | - Kiyoto Kasai
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
- International Research Center for Neurointelligence (WPI-IRCN), UTIAS, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8654, Japan
| | - Yukiko Kano
- Department of Child Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
| | - Osamu Abe
- Department of Radiology, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
| | - Hidenori Yamasue
- Department of Psychiatry, Hamamatsu University School of Medicine, Hamamatsu City, 431-3192, Japan.
| | - Shinsuke Koike
- Center for Evolutionary Cognitive Sciences, Graduate School of Arts and Sciences, The University of Tokyo, Tokyo, 153-8902, Japan.
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan.
- International Research Center for Neurointelligence (WPI-IRCN), UTIAS, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8654, Japan.
- University of Tokyo Institute for Diversity & Adaptation of Human Mind (UTIDAHM), Tokyo, 153-8902, Japan.
- Center for Integrative Science of Human Behavior, Graduate School of Arts and Sciences, The University of Tokyo, 3-8-1 Komaba, Meguro-ku, Tokyo, 153-8902, Japan.
| |
Collapse
|
102
|
Wenneberg C, Glenthøj BY, Glenthøj LB, Fagerlund B, Krakauer K, Kristensen TD, Hjorthøj C, Edden RAE, Broberg BV, Bojesen KB, Rostrup E, Nordentoft M. Baseline measures of cerebral glutamate and GABA levels in individuals at ultrahigh risk for psychosis: Implications for clinical outcome after 12 months. Eur Psychiatry 2020; 63:e83. [PMID: 32762779 PMCID: PMC7576532 DOI: 10.1192/j.eurpsy.2020.77] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Background. Cerebral glutamate and gamma-aminobutyric acid (GABA) levels might predict clinical outcome in individuals at ultrahigh risk (UHR) for psychosis but have previously primarily been investigated in smaller cohorts. We aimed to study whether baseline levels of glutamate and GABA in anterior cingulate cortex (ACC) and glutamate in thalamus could predict remission status and whether baseline metabolites differed in the remission versus the nonremission group. We also investigated the relationship between baseline metabolite levels and severity of clinical symptoms, functional outcome, and cognitive deficits at follow-up. Methods. About 124 UHR individuals were recruited at baseline. In this, 74 UHR individuals were clinically and cognitively assessed after 12 months, while remission status was available for 81 (25 remission/56 nonremission). Glutamate and GABA levels were assessed at baseline using 3 T proton magnetic resonance spectroscopy. Psychopathology, symptom severity, and remission were assessed with the Comprehensive Assessment of At-Risk Mental States and Clinical Global Impression and functional outcome with the Social and Occupational Functioning Assessment Scale. Cognitive function was estimated with the Cambridge Neuropsychological Test Automated Battery. Results. There were no differences between baseline glutamate and GABA levels in subjects in the nonremission group compared with the remission group, and baseline metabolites could not predict remission status. However, higher baseline levels of GABA in ACC were associated with clinical global improvement (r = −0.34, N = 51, p = 0.01) in an explorative analysis. Conclusions. The variety in findings across studies suggests a probable multifactorial influence on clinical outcome in UHR individuals. Future studies should combine multimodal approaches to attempt prediction of long-term outcome.
Collapse
Affiliation(s)
- C Wenneberg
- Copenhagen Research Center for Mental Health, University of Copenhagen, Copenhagen, Denmark.,Center for Neuropsychiatric Schizophrenia Research, CNSR, and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, Mental Health Centre Glostrup, University of Copenhagen, Copenhagen, Denmark.,Functional Imaging Unit, FIUNIT, Department of Clinical Physiology, Nuclear Medicine and PET, University of Copenhagen, Copenhagen, Denmark
| | - B Y Glenthøj
- Center for Neuropsychiatric Schizophrenia Research, CNSR, and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, Mental Health Centre Glostrup, University of Copenhagen, Copenhagen, Denmark
| | - L B Glenthøj
- Copenhagen Research Center for Mental Health, University of Copenhagen, Copenhagen, Denmark.,Center for Neuropsychiatric Schizophrenia Research, CNSR, and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, Mental Health Centre Glostrup, University of Copenhagen, Copenhagen, Denmark
| | - B Fagerlund
- Center for Neuropsychiatric Schizophrenia Research, CNSR, and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, Mental Health Centre Glostrup, University of Copenhagen, Copenhagen, Denmark
| | - K Krakauer
- Copenhagen Research Center for Mental Health, University of Copenhagen, Copenhagen, Denmark.,Center for Neuropsychiatric Schizophrenia Research, CNSR, and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, Mental Health Centre Glostrup, University of Copenhagen, Copenhagen, Denmark.,Functional Imaging Unit, FIUNIT, Department of Clinical Physiology, Nuclear Medicine and PET, University of Copenhagen, Copenhagen, Denmark
| | - T D Kristensen
- Copenhagen Research Center for Mental Health, University of Copenhagen, Copenhagen, Denmark.,Center for Neuropsychiatric Schizophrenia Research, CNSR, and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, Mental Health Centre Glostrup, University of Copenhagen, Copenhagen, Denmark
| | - C Hjorthøj
- Copenhagen Research Center for Mental Health, University of Copenhagen, Copenhagen, Denmark.,Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - R A E Edden
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland, USA
| | - B V Broberg
- Center for Neuropsychiatric Schizophrenia Research, CNSR, and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, Mental Health Centre Glostrup, University of Copenhagen, Copenhagen, Denmark
| | - K B Bojesen
- Center for Neuropsychiatric Schizophrenia Research, CNSR, and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, Mental Health Centre Glostrup, University of Copenhagen, Copenhagen, Denmark
| | - E Rostrup
- Center for Neuropsychiatric Schizophrenia Research, CNSR, and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, Mental Health Centre Glostrup, University of Copenhagen, Copenhagen, Denmark.,Functional Imaging Unit, FIUNIT, Department of Clinical Physiology, Nuclear Medicine and PET, University of Copenhagen, Copenhagen, Denmark
| | - M Nordentoft
- Copenhagen Research Center for Mental Health, University of Copenhagen, Copenhagen, Denmark
| |
Collapse
|
103
|
Grover S, Shouan A, Chakrabarti S, Sahoo S, Mehra A. Effectiveness of ECT in Management of Depression in patients with schizophrenia: An Open Labelled Study. Schizophr Res 2020; 222:530-531. [PMID: 32513545 DOI: 10.1016/j.schres.2020.05.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2020] [Revised: 04/30/2020] [Accepted: 05/03/2020] [Indexed: 02/08/2023]
Affiliation(s)
- Sandeep Grover
- Department of Psychiatry, Postgraduate Institute of Medical Education & Research, Chandigarh 160012, India.
| | - Anish Shouan
- Department of Psychiatry, Postgraduate Institute of Medical Education & Research, Chandigarh 160012, India
| | - Subho Chakrabarti
- Department of Psychiatry, Postgraduate Institute of Medical Education & Research, Chandigarh 160012, India
| | - Swapnajeet Sahoo
- Department of Psychiatry, Postgraduate Institute of Medical Education & Research, Chandigarh 160012, India
| | - Aseem Mehra
- Department of Psychiatry, Postgraduate Institute of Medical Education & Research, Chandigarh 160012, India
| |
Collapse
|
104
|
Chen YL, Pan CH, Chang CK, Chen PH, Chang HM, Tai MH, Su SS, Tsai SY, Chen CC, Kuo CJ. Physical Illnesses Before Diagnosed as Schizophrenia: A Nationwide Case-Control Study. Schizophr Bull 2020; 46:785-794. [PMID: 32052838 PMCID: PMC7342094 DOI: 10.1093/schbul/sbaa009] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
Some physical illnesses are potentially associated with the development of schizophrenia. However, few studies have investigated these associations. Here, we examined physical illnesses and medical utilization patterns existing before patients received a diagnosis of schizophrenia. We enrolled a large representative cohort of the general population in Taiwan (N = 1 000 000) and identified 1969 young patients with a new diagnosis of schizophrenia from January 1, 2000 to December 31, 2013. We conducted a nested case-control study based on risk-set sampling. Each case was age-matched and sex-matched with 4 controls selected from the general population. The case and control groups were compared on the basis of various clinical characteristics. Conditional logistic regression was used to estimate the magnitude of risk associated with newly diagnosed schizophrenia. Within the 1 year before the schizophrenia diagnosis, the cases were most likely to visit the psychiatry department, followed by internal medicine and family medicine departments. According to multivariate analysis, compared with the controls, the cases had substantially higher risk of physical conditions in the prodromal phase, including hypertension (adjusted risk ratio [aRR] = 1.93, P = .001), other forms of heart disease (aRR = 2.07, P < .001), cerebrovascular diseases (aRR = 2.96, P = .001), chronic obstructive pulmonary disease (aRR = 1.50, P = .005), asthma (aRR = 1.76, P = .003), and irritable bowel syndrome (aRR = 2.00, P < .001). A wide range of psychiatric diseases and concomitant use of medications were significantly associated with schizophrenia development. In conclusion, several physical illnesses were identified to be associated with schizophrenia development, indicating that people with these illnesses could be vulnerable to schizophrenia.
Collapse
Affiliation(s)
- Yi-Lung Chen
- Department of Biological Sciences, National Sun Yat-Sen University, Kaohsiung, Taiwan,Taipei City Psychiatric Center, Taipei City Hospital, Taipei, Taiwan
| | - Chun-Hung Pan
- Taipei City Psychiatric Center, Taipei City Hospital, Taipei, Taiwan,Department of Psychology, National Chengchi University, Taipei, Taiwan
| | - Chi-Kang Chang
- Taipei City Psychiatric Center, Taipei City Hospital, Taipei, Taiwan
| | - Pao-Huan Chen
- Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan,Psychiatric Research Center, Taipei Medical University Hospital, Taipei, Taiwan
| | - Hu-Ming Chang
- Taipei City Psychiatric Center, Taipei City Hospital, Taipei, Taiwan
| | - Ming-Hong Tai
- Department of Biological Sciences, National Sun Yat-Sen University, Kaohsiung, Taiwan,Institute of Biomedical Sciences, National Sun Yat-sen University, Kaohsiung, Taiwan
| | - Sheng-Shiang Su
- Taipei City Psychiatric Center, Taipei City Hospital, Taipei, Taiwan
| | - Shang-Ying Tsai
- Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan,Psychiatric Research Center, Taipei Medical University Hospital, Taipei, Taiwan
| | - Chiao-Chicy Chen
- Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan,Department of Psychiatry, Mackay Memorial Hospital, Taipei, Taiwan,Department of Psychiatry, Mackay Medical College, Taipei, Taiwan
| | - Chian-Jue Kuo
- Taipei City Psychiatric Center, Taipei City Hospital, Taipei, Taiwan,Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan,Psychiatric Research Center, Taipei Medical University Hospital, Taipei, Taiwan,To whom correspondence should be addressed; Department of General Psychiatry, Taipei City Psychiatric Center, Taipei City Hospital, 309 Sung-Te Road, Taipei, 110, Taiwan; tel: +886-2-27263141, fax: +886-2-27285059, e-mail:
| |
Collapse
|
105
|
Soneson E, Russo D, Stochl J, Heslin M, Galante J, Knight C, Grey N, Hodgekins J, French P, Fowler D, Lafortune L, Byford S, Jones PB, Perez J. Psychological interventions for people with psychotic experiences: A systematic review and meta-analysis of controlled and uncontrolled effectiveness and economic studies. Aust N Z J Psychiatry 2020; 54:673-695. [PMID: 32462893 PMCID: PMC7324911 DOI: 10.1177/0004867420913118] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
OBJECTIVE Many people with psychotic experiences do not develop psychotic disorders, yet those who seek help demonstrate high clinical complexity and poor outcomes. In this systematic review and meta-analysis, we evaluated the effectiveness and cost-effectiveness of psychological interventions for people with psychotic experiences. METHOD We searched 13 databases for studies of psychological interventions for adults with psychotic experiences, but not psychotic disorders. Our outcomes were the proportion of participants remitting from psychotic experiences (primary); changes in positive and negative psychotic symptoms, depression, anxiety, functioning, distress, and quality of life; and economic outcomes (secondary). We analysed results using multilevel random-effects meta-analysis and narrative synthesis. RESULTS A total of 27 reports met inclusion criteria. In general, there was no strong evidence for the superiority of any one intervention. Five studies reported on our primary outcome, though only two reports provided randomised controlled trial evidence that psychological intervention (specifically, cognitive behavioural therapy) promoted remission from psychotic experiences. For secondary outcomes, we could only meta-analyse trials of cognitive behavioural therapy. We found that cognitive behavioural therapy was more effective than treatment as usual for reducing distress (pooled standardised mean difference: -0.24; 95% confidence interval = [-0.37, -0.10]), but no more effective than the control treatment for improving any other outcome. Individual reports indicated that cognitive behavioural therapy, mindfulness-based cognitive therapy, sleep cognitive behavioural therapy, systemic therapy, cognitive remediation therapy, and supportive treatments improved at least one clinical or functional outcome. Four reports included economic evaluations, which suggested cognitive behavioural therapy may be cost-effective compared with treatment as usual. CONCLUSION Our meta-analytic findings were primarily null, with the exception that cognitive behavioural therapy may reduce the distress associated with psychotic experiences. Our analyses were limited by scarcity of studies, small samples and variable study quality. Several intervention frameworks showed preliminary evidence of positive outcomes; however, the paucity of consistent evidence for clinical and functional improvement highlights a need for further research into psychological treatments for psychotic experiences. PROSPERO PROTOCOL REGISTRATION NUMBER CRD42016033869.
Collapse
Affiliation(s)
- Emma Soneson
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Debra Russo
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Jan Stochl
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Margaret Heslin
- Population Research Department, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Julieta Galante
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Clare Knight
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Nick Grey
- Sussex Partnership NHS Foundation Trust, Hove, UK
| | - Joanne Hodgekins
- Department of Clinical Psychology, Norwich Medical School, University of East Anglia, Norwich, UK
| | - Paul French
- Psychosis Research Unit, Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
| | - David Fowler
- School of Psychology, University of Sussex, Brighton, UK
| | - Louise Lafortune
- Department of Public Health and Primary Care, Cambridge Institute of Public Health, University of Cambridge, Cambridge, UK
| | - Sarah Byford
- Population Research Department, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Peter B Jones
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Jesus Perez
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| |
Collapse
|
106
|
Rosengard RJ, Makowski C, Chakravarty M, Malla AK, Joober R, Shah JL, Lepage M. Pre-onset sub-threshold psychotic symptoms and cortical organization in the first episode of psychosis. Prog Neuropsychopharmacol Biol Psychiatry 2020; 100:109879. [PMID: 32004638 DOI: 10.1016/j.pnpbp.2020.109879] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2019] [Revised: 01/20/2020] [Accepted: 01/27/2020] [Indexed: 12/12/2022]
Abstract
Individuals with sub-threshold psychotic symptoms (STPS) are considered at clinical high risk for psychosis (CHR). Imaging studies comparing CHR and patients shortly after a first episode of psychosis (FEP) support progressive cortical thinning by illness stage. However, at least 30% of FEP patients deny pre-onset STPS, suggesting no history of CHR. This calls into question the generalizability of previous imaging findings. To better understand the physiology of early psychosis symptomology, we investigated the relationship between pre-onset STPS and cortical thickness (CT) among FEP patients, examining regional CT and structural covariance (SC). Patients (N = 93) were recruited from PEPP-Montreal, a FEP clinic at the Douglas Mental Health University Institute. The Circumstances of Onset and Relapse Schedule was administered to retrospectively identify patients who recalled at least one of nine expert-selected STPS prior to their FEP (STPS+, N = 67) and to identify those who did not (STPS-, N = 26). Age and sex-matched healthy controls (HC) were recruited (N = 84) for comparison. Participants were scanned between one and three times over the course of two years. CT values of 320 scans (143 HC, 123 STPS+, 54 STPS-) that passed quality control were extracted for group analysis. Linear mixed effects models accounting for effects of age, sex, education, and mean thickness were applied for vertex-wise, group comparisons of cortical thickness and SC. Multiple comparison corrections were applied with Random Field Theory (p-cluster = 0.001). Compared to controls, only STPS- patients exhibited significantly reduced CT in a cluster of the right ventral lateral prefrontal cortex. The vertex with the highest t-statistic within this cluster was employed as a seed in the subsequent SC analysis. After RFT-correction, STPS+ patients exhibited significantly stronger SC between the seed and right pars orbitalis compared to STPS- patients, and HC exhibited significantly stronger SC between the seed and right middle temporal gyrus compared to STPS- patients. Our results revealed patterns of SC that differentiated patient subgroups and patterns of cortical thinning unique to STPS- patients. Our study demonstrates that the early course of sub-threshold psychotic symptoms holds significance in predicting patterns of CT during FEP.
Collapse
Affiliation(s)
- R J Rosengard
- Integrated Program in Neuroscience, McGill University, Montreal, QC, Canada
| | - C Makowski
- Integrated Program in Neuroscience, McGill University, Montreal, QC, Canada; Douglas Mental Health University Institute, Montreal, QC, Canada; McGill Centre for Integrative Neuroscience, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - M Chakravarty
- Integrated Program in Neuroscience, McGill University, Montreal, QC, Canada; Douglas Mental Health University Institute, Montreal, QC, Canada
| | - A K Malla
- Douglas Mental Health University Institute, Montreal, QC, Canada; Prevention and Early Intervention Program for Psychoses (PEPP-Montreal), Montreal, QC, Canada
| | - R Joober
- Douglas Mental Health University Institute, Montreal, QC, Canada; Prevention and Early Intervention Program for Psychoses (PEPP-Montreal), Montreal, QC, Canada
| | - J L Shah
- Integrated Program in Neuroscience, McGill University, Montreal, QC, Canada; Douglas Mental Health University Institute, Montreal, QC, Canada; Prevention and Early Intervention Program for Psychoses (PEPP-Montreal), Montreal, QC, Canada
| | - M Lepage
- Integrated Program in Neuroscience, McGill University, Montreal, QC, Canada; Douglas Mental Health University Institute, Montreal, QC, Canada; Prevention and Early Intervention Program for Psychoses (PEPP-Montreal), Montreal, QC, Canada.
| |
Collapse
|
107
|
Rasmussen AR, Reich D, Lavoie S, Li E, Hartmann JA, McHugh M, Whitford TJ, Nelson B. The relation of basic self-disturbance to self-harm, eating disorder symptomatology and other clinical features: Exploration in an early psychosis sample. Early Interv Psychiatry 2020; 14:275-282. [PMID: 31264785 DOI: 10.1111/eip.12850] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2019] [Revised: 04/30/2019] [Accepted: 06/09/2019] [Indexed: 12/23/2022]
Abstract
BACKGROUND AND AIMS The notion of basic self-disturbance has been proposed as a core feature of schizophrenia-spectrum disorders and as an indicator of future transition to psychosis in high-risk populations. However, the relation of this notion to many clinical characteristics has not been explored. The aim of this study was: (a) to investigate the distribution of self-disturbance and other symptoms dimensions in ultra-high risk (UHR), first-episode psychosis (FEP) and healthy control groups; and (b) to explore the association of self-disturbance with a history of self-harm, suicidal attempt, eating disorder symptomatology, school bullying victimization and sexual or physical abuse. METHODS Patients with UHR status (n = 38) or FEP (n = 26) and healthy controls (n = 33) were assessed with the Examination of Anomalous Self-Experience (EASE) and the Comprehensive Assessment of at Risk Mental States (CAARMS). The clinical-historical variables were assessed through medical records. RESULTS The FEP group scored significantly higher on the EASE than the UHR group, which scored significantly higher than the healthy control group, which had a very low score. Multivariate logistic regression analyses revealed that higher EASE score was significantly associated with a history of self-harm, disordered eating and bullying victimization (but not with suicide attempts or sexual/physical abuse) after controlling for positive, negative and depressive symptoms. CONCLUSION These novel findings suggest that self-disturbance may be related to a history of school bullying victimization, self-harm and eating disorder symptomatology in patients with or at-risk of psychosis. If further confirmed, these findings are potentially relevant to clinical risk assessment and therapy.
Collapse
Affiliation(s)
- Andreas R Rasmussen
- Orygen, The National Centre of Excellence in Youth Mental Health, Melbourne, Victoria, Australia.,Mental Health Center Glostrup, University of Copenhagen, Copenhagen, Denmark
| | - Daniel Reich
- Orygen, The National Centre of Excellence in Youth Mental Health, Melbourne, Victoria, Australia
| | - Suzie Lavoie
- Orygen, The National Centre of Excellence in Youth Mental Health, Melbourne, Victoria, Australia.,Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Emily Li
- Orygen, The National Centre of Excellence in Youth Mental Health, Melbourne, Victoria, Australia.,Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Jessica A Hartmann
- Orygen, The National Centre of Excellence in Youth Mental Health, Melbourne, Victoria, Australia.,Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Meredith McHugh
- Health Care for the Homeless, Baltimore, Maryland.,Youth Empowered Society, Baltimore, Maryland
| | - Thomas J Whitford
- School of Psychology, University of New South Wales, Sydney, New South Wales, Australia
| | - Barnaby Nelson
- Orygen, The National Centre of Excellence in Youth Mental Health, Melbourne, Victoria, Australia.,Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| |
Collapse
|
108
|
Abstract
BACKGROUND Patients in every stage of the psychosis continuum can present with negative symptoms. While no treatment is currently available to address these symptoms, a more refined characterization of their course over the lifetime could help in elaborating interventions. Previous reports have separately investigated the prevalence of negative symptoms within each stage of the psychosis continuum. Our aim in this review is to compare those prevalences across stages, thereby disclosing the course of negative symptoms. METHODS We searched several databases for studies reporting prevalences of negative symptoms in each one of our predetermined stages of the psychosis continuum: clinical or ultra-high risk (UHR), first-episode of psychosis (FEP), and younger and older patients who have experienced multiple episodes of psychosis (MEP). We combined results using the definitions of negative symptoms detailed in the Brief Negative Symptom Scale, a recently developed tool. For each negative symptom, we averaged and weighted by the combined sample size the prevalences of each negative symptom at each stage. RESULTS We selected 47 studies totaling 1872 UHR, 2947 FEP, 5039 younger MEP, and 669 older MEP patients. For each negative symptom, the prevalences showed a comparable course. Each negative symptom decreased from the UHR to FEP stages and then increased from the FEP to MEP stages. CONCLUSIONS Certain psychological, environmental, and treatment-related factors may influence the cumulative impact of negative symptoms, presenting the possibility for early intervention to improve the long-term course.
Collapse
|
109
|
Fusar-Poli P, Allen P, McGuire P. Neuroimaging studies of the early stages of psychosis: A critical review. Eur Psychiatry 2020; 23:237-44. [DOI: 10.1016/j.eurpsy.2008.03.008] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2006] [Revised: 01/15/2008] [Accepted: 01/17/2008] [Indexed: 11/26/2022] Open
Abstract
AbstractPsychiatric imaging, in particular functional imaging techniques such as functional magnetic resonance imaging (fMRI) are potentially powerful tools to explore the neurophysiological basis of the early stages of psychosis. Despite this impressive growth, neuroimaging has yet to become an established as diagnostic instrument this area, partly as a result of significant heterogeneity across the findings from research studies. The present review aims to: (i) assess the determinants of inconsistencies in the results from neuroimaging studies of the early stages of psychosis; and (ii) suggest approaches for future imaging research in this field that may reduce methodological differences between studies.
Collapse
|
110
|
Faerden A, Nesvåg R, Barrett EA, Agartz I, Finset A, Friis S, Rossberg JI, Melle I. Assessing apathy: The use of the Apathy Evaluation Scale in first episode psychosis. Eur Psychiatry 2020; 23:33-9. [DOI: 10.1016/j.eurpsy.2007.09.002] [Citation(s) in RCA: 56] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2007] [Revised: 08/31/2007] [Accepted: 09/05/2007] [Indexed: 11/28/2022] Open
Abstract
AbstractBackgroundRecently there has been a renewed interest in defining the boundaries and subdomains of the negative syndrome in schizophrenia and new scales have been asked for. Apathy is one of the symptoms in focus. The Apathy Evaluation Scale (AES) with its clinical version (AES-C) is one of the most used scales in an interdisciplinary context, but it has never previously been used in a population with first episode psychosis. The main aims of this study were to examine the psychometric properties of the AES-C and its relationship to the Positive and Negative Syndrome Scale (PANSS).MethodsA total of 104 patients with first episode psychosis from the ongoing Thematic Organized Psychosis Research (TOP) study were included.ResultsA factor analysis of the AES-C identified three subscales: Apathy, Insight and Social Contacts. Only the Apathy subscale showed satisfactory psychometric properties and showed acceptable convergent and discriminate properties by correlating strongly with the apathy-related items of the PANSS.ConclusionsThis study shows that the AES-C measures more than one dimension. The main factor, the Apathy subscale, can however be used to assess apathy in first episode psychosis patients in the ongoing work of refining the subdomains of the negative syndrome.
Collapse
|
111
|
Misattributing speech and jumping to conclusions: A longitudinal study in people at high risk of psychosis. Eur Psychiatry 2020; 30:32-7. [DOI: 10.1016/j.eurpsy.2014.09.416] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2014] [Revised: 09/29/2014] [Accepted: 09/30/2014] [Indexed: 11/18/2022] Open
Abstract
AbstractBiases in cognition such as Jumping to Conclusions (JTC) and Verbal Self-Monitoring (VSM) are thought to underlie the formation of psychotic symptoms. This prospective study in people with an At Risk Mental State (ARMS) for psychosis examined how these cognitive biases changed over time, and predicted clinical and functional outcomes. Twenty-three participants were assessed at clinical presentation and a mean of 31 months later. Performance on a JTC and VSM tasks were measured at both time points. Relationships to symptom severity, level of function and the incidence of psychotic disorder were then examined. The levels of symptoms, function and VSM all improved over time, while JTC was stable. Five participants (22%) developed a psychotic disorder during the follow-up period, but the risk of transition was not related to performance on either task at baseline, or to longitudinal changes in task performance. JTC performance correlated with symptom severity at baseline and follow-up. Similarly, performance on the two tasks was not related to the level of functioning at follow-up. Thus, while the ARMS is associated with both VSM and JTC biases, neither predict the onset of psychosis or the overall functional outcome.
Collapse
|
112
|
Delusional ideation, manic symptomatology and working memory in a cohort at clinical high-risk for psychosis: A longitudinal study. Eur Psychiatry 2020; 27:258-63. [DOI: 10.1016/j.eurpsy.2010.07.008] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2010] [Revised: 05/24/2010] [Accepted: 07/01/2010] [Indexed: 11/22/2022] Open
Abstract
AbstractWe followed up a cohort (n = 35) of clients with an “At Risk Mental State” (ARMS) for almost 2 years (mean 21.3 months). At baseline, these clients had taken part in research looking at the relationship between reasoning biases, memory, personality styles and delusional ideation. During the follow-up period, clients underwent a package of intervention from a specialist early detection team. Eighty percent (n = 28) of these clients were successfully re-interviewed. There was improvement across the cohort as a whole, however five participants (17.9%) had made the transition to psychosis at follow-up. Those who had become psychotic had lower levels of manic symptomatology at baseline than those who did not enter the first episode. Further, across the cohort, impaired working memory and delusional ideation at baseline combined to predict 45% of the delusional ideation at follow-up. These preliminary findings suggest that working memory impairments may be linked to the persistence of delusional ideation and that manic symptoms in someone with an ARMS may suggest that such an individual is less likely to develop a frank psychotic episode.
Collapse
|
113
|
Montemagni C, Bellino S, Bracale N, Bozzatello P, Rocca P. Models Predicting Psychosis in Patients With High Clinical Risk: A Systematic Review. Front Psychiatry 2020; 11:223. [PMID: 32265763 PMCID: PMC7105709 DOI: 10.3389/fpsyt.2020.00223] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2019] [Accepted: 03/06/2020] [Indexed: 11/25/2022] Open
Abstract
OBJECTIVE The present study reviews predictive models used to improve prediction of psychosis onset in individuals at clinical high risk for psychosis (CHR), using clinical, biological, neurocognitive, environmental, and combinations of predictors. METHODS A systematic literature search on PubMed was carried out (from 1998 through 2019) to find all studies that developed or validated a model predicting the transition to psychosis in CHR subjects. RESULTS We found 1,406 records. Thirty-eight of them met the inclusion criteria; 11 studies using clinical predictive models, seven studies using biological models, five studies using neurocognitive models, five studies using environmental models, and 18 studies using combinations of predictive models across different domains. While the highest positive predictive value (PPV) in clinical, biological, neurocognitive, and combined predictive models were relatively high (all above 83), the highest PPV across environmental predictive models was modest (63%). Moreover, none of the combined models showed a superiority when compared with more parsimonious models (using only neurocognitive, clinical, biological, or environmental factors). CONCLUSIONS The use of predictive models may allow high prognostic accuracy for psychosis prediction in CHR individuals. However, only ten studies had performed an internal validation of their models. Among the models with the highest PPVs, only the biological and neurocognitive but not the combined models underwent validation. Further validation of predicted models is needed to ensure external validity.
Collapse
Affiliation(s)
| | | | | | | | - Paola Rocca
- Department of Neuroscience, School of Medicine, University of Turin, Turin, Italy
| |
Collapse
|
114
|
Wigman J, Wardenaar K, Wanders R, Booij S, Jeronimus B, van der Krieke L, Wichers M, de Jonge P. Dimensional and discrete variations on the psychosis continuum in a Dutch crowd-sourcing population sample. Eur Psychiatry 2020; 42:55-62. [DOI: 10.1016/j.eurpsy.2016.11.014] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2016] [Revised: 11/24/2016] [Accepted: 11/27/2016] [Indexed: 12/18/2022] Open
Abstract
AbstractBackgroundMild psychotic experiences are common in the general population. Although transient and benign in most cases, these experiences are predictive of later mental health problems for a significant minority. The goal of the present study was to perform examinations of the dimensional and discrete variations in individuals’ reporting of subclinical positive and negative psychotic experiences in a unique Dutch internet-based sample from the general population.MethodsPositive and negative subclinical psychotic experiences were measured with the Community Assessment of Psychic Experiences in 2870 individuals. First, the prevalence of these experiences and their associations with demographics, affect, psychopathology and quality of life were investigated. Next, latent class analysis was used to identify data-driven subgroups with different symptom patterns, which were subsequently compared on aforementioned variables.ResultsSubclinical psychotic experiences were commonly reported. Both positive and negative psychotic experiences were associated with younger age, more negative affect, anxiety and depression as well as less positive affect and poorer quality of life. Seven latent classes (‘Low psychotic experiences’, ‘Lethargic’, ‘Blunted’, ‘Distressed’, ‘Paranormal’, ‘Distressed_grandiose’ and ‘Distressed/positive psychotic experiences’) were identified that demonstrated both dimensional differences in the number/severity of psychotic experiences and discrete differences in the patterns of reported experiences.ConclusionSubclinical psychotic experiences show both dimensional severity variations and discrete symptom-pattern variations across individuals. To understand and capture all interindividual variations in subclinical psychotic experiences, their number, nature and context (co-occurrence patterns) should be considered at the same time. Only some psychotic experiences may lay on a true psychopathological psychosis continuum.
Collapse
|
115
|
Saunders JM, Moreno JL, Ibi D, Sikaroodi M, Kang DJ, Muñoz-Moreno R, Dalmet SS, García-Sastre A, Gillevet PM, Dozmorov MG, Bajaj JS, González-Maeso J. Gut microbiota manipulation during the prepubertal period shapes behavioral abnormalities in a mouse neurodevelopmental disorder model. Sci Rep 2020; 10:4697. [PMID: 32170216 PMCID: PMC7070045 DOI: 10.1038/s41598-020-61635-6] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2019] [Accepted: 03/02/2020] [Indexed: 02/08/2023] Open
Abstract
Previous studies demonstrate an association between activation of the maternal immune system during pregnancy and increased risk of neurodevelopmental psychiatric conditions, such as schizophrenia and autism, in the offspring. Relatively recent findings also suggest that the gut microbiota plays an important role in shaping brain development and behavior. Here we show that maternal immune activation (MIA) accomplished by infection with a mouse-adapted influenza virus during pregnancy induced up-regulation of frontal cortex serotonin 5-HT2A receptor (5-HT2AR) density in the adult offspring, a phenotype previously observed in postmortem frontal cortex of schizophrenic subjects. 5-HT2AR agonist-induced head-twitch behavior was also augmented in this preclinical mouse model. Using the novel object recognition (NOR) test to evaluate cognitive performance, we demonstrate that MIA induced NOR deficits in adult offspring. Oral antibiotic treatment of prepubertal mice prevented this cognitive impairment, but not increased frontal cortex 5-HT2AR density or psychedelic-induced head-twitch behavior in adult MIA offspring. Additionally, gut microbiota transplantation from MIA mice produced behavioral deficits in antibiotic-treated mock mice. Adult MIA offspring displayed altered gut microbiota, and relative abundance of specific components of the gut microbiota, including Ruminococcaceae, correlated with frontal cortex 5-HT2AR density. Together, these findings provide a better understanding of basic mechanisms by which prenatal insults impact offspring brain function, and suggest gut-brain axis manipulation as a potential therapeutic approach for neurodevelopmental psychiatric conditions.
Collapse
Affiliation(s)
- Justin M Saunders
- Department of Physiology and Biophysics, Virginia Commonwealth University School of Medicine, Richmond, VA, 23298, USA
| | - José L Moreno
- Department of Physiology and Biophysics, Virginia Commonwealth University School of Medicine, Richmond, VA, 23298, USA.,VIVEbiotech S.L., E-20009, Donostia/San Sebastián, Spain
| | - Daisuke Ibi
- Department of Physiology and Biophysics, Virginia Commonwealth University School of Medicine, Richmond, VA, 23298, USA.,Department of Chemical Pharmacology, Meijo University, Nagoya, 468-8503, Japan
| | - Masoumeh Sikaroodi
- Center for Microbiome Analysis, George Mason University, Manassas, VA, 20110, USA
| | - Dae Joong Kang
- Division of Gastroenterology, Hepatology and Nutrition, Virginia Commonwealth University and McGuire VA Medical Center, Richmond, VA, 23298, USA
| | - Raquel Muñoz-Moreno
- Department of Microbiology and Global Health & Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Swati S Dalmet
- Center for Microbiome Analysis, George Mason University, Manassas, VA, 20110, USA
| | - Adolfo García-Sastre
- Department of Microbiology and Global Health & Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.,Department of Medicine - Division of Infectious Diseases, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.,The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Patrick M Gillevet
- Center for Microbiome Analysis, George Mason University, Manassas, VA, 20110, USA
| | - Mikhail G Dozmorov
- Department of Biostatistics, Virginia Commonwealth University School of Medicine, Richmond, VA, 23298, USA
| | - Jasmohan S Bajaj
- Division of Gastroenterology, Hepatology and Nutrition, Virginia Commonwealth University and McGuire VA Medical Center, Richmond, VA, 23298, USA
| | - Javier González-Maeso
- Department of Physiology and Biophysics, Virginia Commonwealth University School of Medicine, Richmond, VA, 23298, USA.
| |
Collapse
|
116
|
Pionke R, Gidzgier P, Nelson B, Gawęda Ł. Prevalence, dimensionality and clinical relevance of self-disturbances and psychotic-like experiences in Polish young adults: a latent class analysis approach. Int J Methods Psychiatr Res 2020; 29:e1809. [PMID: 31808220 PMCID: PMC7051838 DOI: 10.1002/mpr.1809] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2019] [Revised: 08/23/2019] [Accepted: 09/20/2019] [Indexed: 11/08/2022] Open
Abstract
OBJECTIVES We aimed to investigate latent classes of psychotic-like experiences (PLEs) and self-disturbances (SD) and to explore mutual overlapping between derived subgroups. Further, our goal was to investigate class membership relationship with an exposure to childhood trauma and different psychopathological factors such as cognitive biases, depression, insomnia, psychiatric diagnosis and lifetime suicidality. METHODS Participants consist of 3167 non-clinical adults. We performed two latent class analyses (LCA), for PLEs and SD separately, to identify subgroups of individuals with different profiles on PLEs and SD. Associations between psychopathological factors and latent class membership were examined using multinomial logistic regression analysis. RESULTS LCA produced 5 classes within SD and 3 classes within PLEs. Class of the highest endorsement of SD showed 53% overlap with class of the highest endorsement of PLEs. The highest risk of belonging to High Class for both SD and PLEs was associated in particular with depression, cognitive biases and insomnia. Trauma emerged as a significant predictor only for PLEs classes. CONCLUSIONS Our findings confirm that high PLEs and SD co-occur and are concentrated in a relatively small number of individuals, at least in the general population. Their combination may capture the highest risk of psychosis in the general population.
Collapse
Affiliation(s)
- Renata Pionke
- Psychopathology and Early Intervention Lab, II Department of Psychiatry, The Medical University of Warsaw, Poland
| | - Piotr Gidzgier
- Center for Interdisciplinary Addiction Research, Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Barnaby Nelson
- Orygen, The National Centre of Excellence in Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia.,Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - Łukasz Gawęda
- Clinical Neuroscience Lab, Institute of Psychology, Polish Academy of Sciences, Warsaw, Poland
| |
Collapse
|
117
|
Howes OD, Bonoldi I, McCutcheon RA, Azis M, Antoniades M, Bossong M, Modinos G, Perez J, Stone JM, Santangelo B, Veronese M, Grace A, Allen P, McGuire PK. Glutamatergic and dopaminergic function and the relationship to outcome in people at clinical high risk of psychosis: a multi-modal PET-magnetic resonance brain imaging study. Neuropsychopharmacology 2020; 45:641-648. [PMID: 31618752 PMCID: PMC7021794 DOI: 10.1038/s41386-019-0541-2] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2019] [Revised: 09/20/2019] [Accepted: 09/23/2019] [Indexed: 12/11/2022]
Abstract
Preclinical models of psychosis propose that hippocampal glutamatergic neuron hyperactivity drives increased striatal dopaminergic activity, which underlies the development of psychotic symptoms. The aim of this study was to examine the relationship between hippocampal glutamate and subcortical dopaminergic function in people at clinical high risk for psychosis, and to assess the association with the development of psychotic symptoms. 1H-MRS was used to measure hippocampal glutamate concentrations, and 18F-DOPA PET was used to measure dopamine synthesis capacity in 70 subjects (51 people at clinical high risk for psychosis and 19 healthy controls). Clinical assessments were undertaken at baseline and follow-up (median 15 months). Striatal dopamine synthesis capacity predicted the worsening of psychotic symptoms at follow-up (r = 0.35; p < 0.05), but not transition to a psychotic disorder (p = 0.22), and was not significantly related to hippocampal glutamate concentration (p = 0.13). There were no differences in either glutamate (p = 0.5) or dopamine (p = 0.5) measures in the total patient group relative to controls. Striatal dopamine synthesis capacity at presentation predicts the subsequent worsening of sub-clinical total and psychotic symptoms, consistent with a role for dopamine in the development of psychotic symptoms, but is not strongly linked to hippocampal glutamate concentrations.
Collapse
Affiliation(s)
- Oliver D Howes
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, Camberwell, London, SE5 8AF, UK.
- MRC London Institute of Medical Sciences, Imperial College London, Hammersmith Hospital, Du Cane Road, London, W12 0NN, UK.
- TREAT Service, South London and Maudsley Foundation NHS Trust, Maudsley Hospital, London, SE5 8AZ, UK.
| | - Ilaria Bonoldi
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, Camberwell, London, SE5 8AF, UK
- TREAT Service, South London and Maudsley Foundation NHS Trust, Maudsley Hospital, London, SE5 8AZ, UK
| | - Robert A McCutcheon
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, Camberwell, London, SE5 8AF, UK.
- MRC London Institute of Medical Sciences, Imperial College London, Hammersmith Hospital, Du Cane Road, London, W12 0NN, UK.
| | - Matilda Azis
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, Camberwell, London, SE5 8AF, UK
| | - Mathilde Antoniades
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, Camberwell, London, SE5 8AF, UK
| | - Matthijs Bossong
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, Camberwell, London, SE5 8AF, UK
- Department of Psychiatry, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Gemma Modinos
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, Camberwell, London, SE5 8AF, UK
| | - Jesus Perez
- Cambridge Early Onset service, Cambridgeshire and Peterborough Mental Health Partnership National Health Service Trust, Cambridge, UK
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - James M Stone
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, Camberwell, London, SE5 8AF, UK
| | - Barbara Santangelo
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, Camberwell, London, SE5 8AF, UK
| | - Mattia Veronese
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, Camberwell, London, SE5 8AF, UK
| | - Anthony Grace
- Department of Neuroscience, Psychiatry and Psychology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Paul Allen
- Department of Psychology, University of Roehampton, London, UK
| | - Philip K McGuire
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, Camberwell, London, SE5 8AF, UK
| |
Collapse
|
118
|
Wenneberg C, Nordentoft M, Rostrup E, Glenthøj LB, Bojesen KB, Fagerlund B, Hjorthøj C, Krakauer K, Kristensen TD, Schwartz C, Edden RAE, Broberg BV, Glenthøj BY. Cerebral Glutamate and Gamma-Aminobutyric Acid Levels in Individuals at Ultra-high Risk for Psychosis and the Association With Clinical Symptoms and Cognition. BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2020; 5:569-579. [PMID: 32008981 DOI: 10.1016/j.bpsc.2019.12.005] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/09/2019] [Revised: 12/09/2019] [Accepted: 12/10/2019] [Indexed: 12/31/2022]
Abstract
BACKGROUND Studies examining glutamate or gamma-aminobutyric acid (GABA) in ultra-high risk for psychosis (UHR) and the association with pathophysiology and cognition have shown conflicting results. We aimed to determine whether perturbed glutamate and GABA levels in the anterior cingulate cortex and glutamate levels in the left thalamus were present in UHR individuals and to investigate associations between metabolite levels and clinical symptoms and cognition. METHODS We included 122 UHR individuals and 60 healthy control subjects. Participants underwent proton magnetic resonance spectroscopy to estimate glutamate and GABA levels and undertook clinical and cognitive assessments. RESULTS We found no differences in metabolite levels between UHR individuals and healthy control subjects. In UHR individuals, we found negative correlations in the anterior cingulate cortex between the composite of glutamate and glutamine (Glx) and the Comprehensive Assessment of At-Risk Mental States composite score (p = .04) and between GABA and alogia (p = .01); positive associations in the anterior cingulate cortex between glutamate (p = .01) and Glx (p = .01) and spatial working memory and between glutamate (p = .04), Glx (p = .04), and GABA (p = .02) and set-shifting; and a positive association in the thalamus between glutamate and attention (p = .04). No associations between metabolites and clinical or cognitive scores were found in the healthy control subjects. CONCLUSIONS An association between glutamate and GABA levels and clinical symptoms and cognition found only in UHR individuals suggests a loss of the normal relationship between metabolite levels and cognitive function. Longitudinal studies with investigation of clinical and cognitive outcome and the association with baseline levels of glutamate and GABA could illuminate whether glutamatergic and GABAergic dysfunction predicts clinical outcome.
Collapse
Affiliation(s)
- Christina Wenneberg
- Copenhagen Research Center for Mental Health, Mental Health Center Copenhagen, Copenhagen University Hospital, Hellerup, Denmark; Center for Neuropsychiatric Schizophrenia Research and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Center, University of Copenhagen, Glostrup, Denmark; Functional Imaging Unit, Department of Clinical Physiology, Nuclear Medicine and PET, Copenhagen University Hospital Rigshospitalet, Glostrup, Denmark.
| | - Merete Nordentoft
- Copenhagen Research Center for Mental Health, Mental Health Center Copenhagen, Copenhagen University Hospital, Hellerup, Denmark
| | - Egill Rostrup
- Center for Neuropsychiatric Schizophrenia Research and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Center, University of Copenhagen, Glostrup, Denmark; Functional Imaging Unit, Department of Clinical Physiology, Nuclear Medicine and PET, Copenhagen University Hospital Rigshospitalet, Glostrup, Denmark
| | - Louise Birkedal Glenthøj
- Copenhagen Research Center for Mental Health, Mental Health Center Copenhagen, Copenhagen University Hospital, Hellerup, Denmark; Center for Neuropsychiatric Schizophrenia Research and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Center, University of Copenhagen, Glostrup, Denmark
| | - Kirsten Borup Bojesen
- Center for Neuropsychiatric Schizophrenia Research and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Center, University of Copenhagen, Glostrup, Denmark
| | - Birgitte Fagerlund
- Center for Neuropsychiatric Schizophrenia Research and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Center, University of Copenhagen, Glostrup, Denmark
| | - Carsten Hjorthøj
- Copenhagen Research Center for Mental Health, Mental Health Center Copenhagen, Copenhagen University Hospital, Hellerup, Denmark; Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Kristine Krakauer
- Copenhagen Research Center for Mental Health, Mental Health Center Copenhagen, Copenhagen University Hospital, Hellerup, Denmark; Center for Neuropsychiatric Schizophrenia Research and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Center, University of Copenhagen, Glostrup, Denmark; Functional Imaging Unit, Department of Clinical Physiology, Nuclear Medicine and PET, Copenhagen University Hospital Rigshospitalet, Glostrup, Denmark
| | - Tina Dam Kristensen
- Copenhagen Research Center for Mental Health, Mental Health Center Copenhagen, Copenhagen University Hospital, Hellerup, Denmark; Center for Neuropsychiatric Schizophrenia Research and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Center, University of Copenhagen, Glostrup, Denmark
| | - Camilla Schwartz
- Functional Imaging Unit, Department of Clinical Physiology, Nuclear Medicine and PET, Copenhagen University Hospital Rigshospitalet, Glostrup, Denmark
| | - Richard A E Edden
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland; F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland
| | - Brian Villumsen Broberg
- Center for Neuropsychiatric Schizophrenia Research and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Center, University of Copenhagen, Glostrup, Denmark
| | - Birte Yding Glenthøj
- Center for Neuropsychiatric Schizophrenia Research and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Center, University of Copenhagen, Glostrup, Denmark
| |
Collapse
|
119
|
Comorbidity rates of depression and anxiety in first episode psychosis: A systematic review and meta-analysis. Schizophr Res 2020; 216:322-329. [PMID: 31791816 DOI: 10.1016/j.schres.2019.11.035] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2019] [Revised: 08/09/2019] [Accepted: 11/22/2019] [Indexed: 01/09/2023]
Abstract
Anxiety and depression symptoms are frequently experienced by individuals with psychosis, although prevalence rates have not been reviewed in first-episode psychosis (FEP). The aim of this systematic review was to focus on the prevalence rates for both anxiety and depression, comparing the rates within the same study population. A systematic review and meta-analysis was completed for all studies measuring both anxiety and depression in FEP at baseline. The search identified 6040 citations, of which n = 10 met inclusion criteria. These reported 1265 patients (age 28.3 ± 9.1, females: 39.9%) with diagnosed FEP. Studies which used diagnosis to define comorbidity count were included in separate meta-analyses for anxiety and depression, although the heterogeneity was high limiting interpretation of separate prevalence rates. A random-effects meta-analysis also compared the mean difference between anxiety and depression within the same studies. We show that anxiety and depression co-occur at a similar rate within FEP, although the exact rates are not reliable due to the heterogeneity between the small number of studies. Future research in FEP should consider routinely measuring anxiety and depression using continuous self-report measures of symptoms. Clinically we recommend that both anxiety and depression are equally targeted during psychological intervention in FEP, together with the psychotic symptoms.
Collapse
|
120
|
Youn S, Phillips LJ, Amminger GP, Berger G, Chen EYH, de Haan L, Hartmann JA, Hickie IB, Lavoie S, Markulev C, McGorry PD, Mossaheb N, Nieman DH, Nordentoft M, Riecher-Rössler A, Schäfer MR, Schlögelhofer M, Smesny S, Thompson A, Verma S, Yuen HP, Yung AR, Nelson B. Basic symptoms in young people at ultra-high risk of psychosis: Association with clinical characteristics and outcomes. Schizophr Res 2020; 216:255-261. [PMID: 31866077 DOI: 10.1016/j.schres.2019.11.047] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/29/2019] [Revised: 09/06/2019] [Accepted: 11/25/2019] [Indexed: 12/30/2022]
Abstract
There has been limited research into the predictive value of basic symptoms and their relationship with other psychopathology in patients identified using the 'ultra high risk' (UHR) for psychosis approach. The current study investigated whether basic symptoms, specifically cognitive disturbances (COGDIS), were associated with a greater risk of transition to psychotic disorder and persistent attenuated psychotic symptoms (APS) at medium term follow-up (mean = 3.4 years) in UHR patients, as well as with general psychopathology at baseline. The sample included 304 UHR participants (mean age = 19.12 years) involved in an international multicenter trial of omega-3 fatty acids. UHR individuals who also met the COGDIS criteria (basic symptoms risk criteria) did not have a greater risk of transition than those who met the UHR criteria alone. However, meeting COGDIS risk criteria was associated with a greater likelihood of meeting the UHR attenuated psychotic symptoms risk group (i.e., having persistent attenuated psychotic symptoms) at 12-month follow-up (odds ratio = 1.85; 95% CI = 1.03, 3.32). Greater severity of cognitive basic symptoms was also independently associated with more severe general psychopathology at study entry. The findings do not support the notion that combined risk identification approaches (UHR and basic symptoms) aid in the identification of individuals at greatest risk of psychosis, although this interpretation is limited by the modest transition to psychosis rate (13%) and the time of follow up. However, the findings indicate that basic symptoms may be a clinically useful marker of more severe general psychopathology in UHR groups and risk for persistent attenuated psychotic symptoms.
Collapse
Affiliation(s)
- S Youn
- Orygen, the National Centre of Excellence in Youth Mental Health, Melbourne, Australia; Centre for Youth Mental Health, University of Melbourne, Australia
| | - L J Phillips
- Department of Psychology, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Australia
| | - G P Amminger
- Orygen, the National Centre of Excellence in Youth Mental Health, Melbourne, Australia; Centre for Youth Mental Health, University of Melbourne, Australia
| | - G Berger
- Child and Adolescent Psychiatric Service of the Canton of Zurich, Zurich, Switzerland
| | - E Y H Chen
- Department of Psychiatry, University of Hong Kong, Hong Kong
| | - L de Haan
- Academic Medical Center, Amsterdam, the Netherlands
| | - J A Hartmann
- Orygen, the National Centre of Excellence in Youth Mental Health, Melbourne, Australia; Centre for Youth Mental Health, University of Melbourne, Australia
| | - I B Hickie
- Brain and Mind Research Institute, University of Sydney, Australia
| | - S Lavoie
- Orygen, the National Centre of Excellence in Youth Mental Health, Melbourne, Australia; Centre for Youth Mental Health, University of Melbourne, Australia
| | - C Markulev
- Orygen, the National Centre of Excellence in Youth Mental Health, Melbourne, Australia; Centre for Youth Mental Health, University of Melbourne, Australia
| | - P D McGorry
- Orygen, the National Centre of Excellence in Youth Mental Health, Melbourne, Australia; Centre for Youth Mental Health, University of Melbourne, Australia
| | - N Mossaheb
- Department of Psychiatry and Psychotherapy, Clinical Division of Social Psychiatry, Medical University of Vienna, Austria
| | - D H Nieman
- Academic Medical Center, Amsterdam, the Netherlands
| | - M Nordentoft
- Psychiatric Centre Bispebjerg, Copenhagen, Denmark
| | | | - M R Schäfer
- Orygen, the National Centre of Excellence in Youth Mental Health, Melbourne, Australia; Centre for Youth Mental Health, University of Melbourne, Australia
| | - M Schlögelhofer
- Department of Psychiatry, Medical University of Vienna, Austria
| | - S Smesny
- University Hospital Jena, Jena, Germany
| | - A Thompson
- Orygen, the National Centre of Excellence in Youth Mental Health, Melbourne, Australia; Centre for Youth Mental Health, University of Melbourne, Australia
| | - S Verma
- Institute of Mental Health, Singapore, Singapore
| | - H P Yuen
- Orygen, the National Centre of Excellence in Youth Mental Health, Melbourne, Australia; Centre for Youth Mental Health, University of Melbourne, Australia
| | - A R Yung
- Orygen, the National Centre of Excellence in Youth Mental Health, Melbourne, Australia; Centre for Youth Mental Health, University of Melbourne, Australia
| | - B Nelson
- Orygen, the National Centre of Excellence in Youth Mental Health, Melbourne, Australia; Centre for Youth Mental Health, University of Melbourne, Australia.
| |
Collapse
|
121
|
Yuen HP, Mackinnon A, Nelson B. Dynamic prediction systems of transition to psychosis using joint modelling: extensions to the base system. Schizophr Res 2020; 216:207-212. [PMID: 31839554 DOI: 10.1016/j.schres.2019.11.059] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2019] [Revised: 09/30/2019] [Accepted: 11/29/2019] [Indexed: 02/02/2023]
Abstract
Seeking risk factors and constructing prediction models for transition to psychosis in individuals at ultra-high risk (UHR) has been an important research area. Our previous work showed that dynamic prediction could perform better than the conventional approach of using only baseline predictors in predicting transition to a psychotic disorder in UHR individuals. Dynamic prediction is the prediction of the occurrence of an event outcome using longitudinal data and has been made possible using a statistical methodology called joint modelling. The application of joint modelling and dynamic prediction in our previous work was relatively simple. In this paper, we examined extensions to our previous work in three ways: how to use the estimated changes in transition probability at repeated assessments over time to perform prediction, how to model the trajectory of the longitudinal data and how to model the relationship between the longitudinal data and the risk of transition to psychosis. Data from the Pace400 study (n = 398 UHR individuals), a follow-up study with transition to psychosis as the primary outcome, were used to investigate these extensions. Our results indicated that these extensions can enhance improvement in terms of model fit and sensitivity and specificity values. We have shown that dynamic prediction through joint modelling not only can utilize the richness of longitudinal data but also offers versatility in how prediction can be conducted. Our results have again confirmed that dynamic prediction via joint modelling should be considered as a useful tool for predicting transition to psychosis.
Collapse
Affiliation(s)
- Hok Pan Yuen
- Orygen, The National Centre of Excellence in Youth Mental Health, Locked Bag 10, Parkville, Victoria 3052, Australia; Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria 3052, Australia.
| | - Andrew Mackinnon
- Centre for Mental Health, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria 3052, Australia; Black Dog Institute and University of New South Wales, Sydney, New South Wales 2052, Australia
| | - Barnaby Nelson
- Orygen, The National Centre of Excellence in Youth Mental Health, Locked Bag 10, Parkville, Victoria 3052, Australia; Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria 3052, Australia
| |
Collapse
|
122
|
Yoviene Sykes LA, Ferrara M, Addington J, Bearden CE, Cadenhead KS, Cannon TD, Cornblatt BA, Perkins DO, Mathalon DH, Seidman LJ, Tsuang MT, Walker EF, McGlashan TH, Woodberry KA, Powers AR, Ponce AN, Cahill JD, Pollard JM, Srihari VH, Woods SW. Predictive validity of conversion from the clinical high risk syndrome to frank psychosis. Schizophr Res 2020; 216:184-191. [PMID: 31864837 PMCID: PMC7239715 DOI: 10.1016/j.schres.2019.12.002] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2019] [Revised: 12/04/2019] [Accepted: 12/05/2019] [Indexed: 02/08/2023]
Abstract
Although the clinical high risk for psychosis (CHR) paradigm has become well-established over the past two decades, one key component has received surprisingly little investigative attention: the predictive validity of the criteria for conversion or transition to frank psychosis. The current study evaluates the predictive validity of the transition to psychosis as measured by the Structured Interview for Psychosis-Risk Syndromes (SIPS) in CHR individuals. Participants included 33 SIPS converters and 399 CHR non-converters both from the North American Prodromal Longitudinal Study (NAPLS-2), as well as a sample of 67 separately ascertained first-episode psychosis (FEP) patients from the STEP program. Comparisons were made at baseline and one-year follow-up on demographic, diagnostic stability (SCID), and available measurement domains relating to severity of illness (psychotropic medication, psychosocial treatment, and resource utilization). Principal findings are: 1) a large majority of cases in both SIPS converters (n = 27/33, 81.8%) and FEP (n = 57/67, 85.1%) samples met criteria for continued psychosis at one-year follow-up; 2) follow-up prescription rates for current antipsychotic medication were higher in SIPS converters (n = 17/32, 53.1%) compared to SIPS non-converters (n = 81/397, 20.4%), and similar as compared to FEP cases (n = 39/65, 60%); and 3) at follow-up, SIPS converters had higher rates of resource utilization (psychiatric hospitalizations, day hospital admissions, and ER visits) than SIPS non-converters and were similar to FEP in most categories. The results suggest that the SIPS definition of psychosis onset carries substantial predictive validity. Limitations and future directions are discussed.
Collapse
Affiliation(s)
- Laura A Yoviene Sykes
- Department of Psychiatry and Connecticut Mental Health Center, Yale University, New Haven, CT, United States of America.
| | - Maria Ferrara
- Department of Psychiatry and Connecticut Mental Health Center, Yale University, New Haven, CT, United States of America; Dipartimento di Salute Mentale e Dipendenze Patologiche, AUSL Modena, Modena, Italy
| | - Jean Addington
- Department of Psychiatry, University of Calgary, Calgary, Alberta, Canada
| | - Carrie E Bearden
- Departments of Psychology and Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles, CA, United States of America
| | | | - Tyrone D Cannon
- Departments of Psychology and Psychiatry, Yale University, New Haven, CT, United States of America
| | - Barbara A Cornblatt
- Department of Psychiatry, Zucker Hillside Hospital, Long Island, NY, United States of America
| | - Diana O Perkins
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, United States of America
| | - Daniel H Mathalon
- Department of Psychiatry, UCSF, San Francisco, CA, United States of America
| | - Larry J Seidman
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States of America
| | - Ming T Tsuang
- Department of Psychiatry, UCSD, San Diego, CA, United States of America
| | - Elaine F Walker
- Departments of Psychology and Psychiatry, Emory University, Atlanta, GA, United States of America
| | - Thomas H McGlashan
- Department of Psychiatry and Connecticut Mental Health Center, Yale University, New Haven, CT, United States of America
| | - Kristen A Woodberry
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States of America; Center for Psychiatric Research, Maine Medical Center, Portland, ME, United States of America
| | - Albert R Powers
- Department of Psychiatry and Connecticut Mental Health Center, Yale University, New Haven, CT, United States of America
| | - Allison N Ponce
- Department of Psychiatry and Connecticut Mental Health Center, Yale University, New Haven, CT, United States of America
| | - John D Cahill
- Department of Psychiatry and Connecticut Mental Health Center, Yale University, New Haven, CT, United States of America
| | - Jessica M Pollard
- Department of Psychiatry and Connecticut Mental Health Center, Yale University, New Haven, CT, United States of America
| | - Vinod H Srihari
- Department of Psychiatry and Connecticut Mental Health Center, Yale University, New Haven, CT, United States of America
| | - Scott W Woods
- Department of Psychiatry and Connecticut Mental Health Center, Yale University, New Haven, CT, United States of America
| |
Collapse
|
123
|
The neurophenomenology of early psychosis: An integrative empirical study. Conscious Cogn 2020; 77:102845. [DOI: 10.1016/j.concog.2019.102845] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2019] [Revised: 10/16/2019] [Accepted: 10/16/2019] [Indexed: 12/23/2022]
|
124
|
Fujioka M, Kirihara K, Koshiyama D, Tada M, Nagai T, Usui K, Morita S, Kawakami S, Morita K, Satomura Y, Koike S, Suga M, Araki T, Kasai K. Mismatch Negativity Predicts Remission and Neurocognitive Function in Individuals at Ultra-High Risk for Psychosis. Front Psychiatry 2020; 11:770. [PMID: 32848939 PMCID: PMC7416637 DOI: 10.3389/fpsyt.2020.00770] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2020] [Accepted: 07/21/2020] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND In the early intervention in psychosis, ultra-high risk (UHR) criteria have been used to identify individuals who are prone to develop psychosis. Although the transition rate to psychosis in individuals at UHR is 10% to 30% within several years, some individuals at UHR present with poor prognoses even without transition occurring. Therefore, it is important to identify biomarkers for predicting the prognosis of individuals at UHR, regardless of transition. We investigated whether mismatch negativity (MMN) in response to both duration deviant stimuli (dMMN) and frequency deviant stimuli (fMMN) could predict prognosis, including remission and neurocognitive function in individuals at UHR. MATERIALS AND METHODS Individuals at UHR (n = 24) and healthy controls (HC; n = 18) participated in this study. In an auditory oddball paradigm, both dMMN and fMMN were measured at baseline. Remission and neurocognitive function after > 180 days were examined in the UHR group. Remission from UHR was defined as functional and symptomatic improvement using the Global Assessment of Functioning (GAF) score and Scale of Prodromal Symptoms (SOPS) positive subscales. Neurocognitive function was measured using the Brief Assessment of Cognition in Schizophrenia (BACS). We examined differences in MMN amplitude at baseline between those who achieved remission (remitters) and those who did not (non-remitters). Multiple regression analyses were performed to identify predictors for functioning, positive symptoms, and neurocognitive function. RESULTS Compared with the HC group, the UHR group had a significantly attenuated dMMN amplitude (p = 0.003). In the UHR group, GAF scores significantly improved during the follow-up period (mean value 47.1 to 55.5, p = 0.004). The dMMN amplitude at baseline was significantly larger in the remitter (n = 6) than in the non-remitter group (n = 18) (p = 0.039). The total SOPS positive subscale scores and fMMN amplitude at baseline could predict BACS attention subscore at the follow-up point (SOPS positive subscales, p = 0.030; fMMN, p = 0.041). CONCLUSION Our findings indicate that dMMN and fMMN predicted remission and neurocognitive function, respectively, in individuals at UHR, which suggests that there are both promising biomarker candidates for predicting prognosis in individuals at UHR.
Collapse
Affiliation(s)
- Mao Fujioka
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Kenji Kirihara
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Daisuke Koshiyama
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.,Department of Psychiatry, University of California San Diego, La Jolla, CA, United States
| | - Mariko Tada
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.,The International Research Center for Neurointelligence (WPI-IRCN), University of Tokyo Institutes for Advanced Study (UTIAS), The University of Tokyo, Tokyo, Japan
| | - Tatsuya Nagai
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.,Department of Psychiatry, Kawamuro Memorial Hospital, Joetsu, Japan
| | - Kaori Usui
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Susumu Morita
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Shintaro Kawakami
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Kentaro Morita
- Department of Rehabilitation, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Yoshihiro Satomura
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Shinsuke Koike
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.,The International Research Center for Neurointelligence (WPI-IRCN), University of Tokyo Institutes for Advanced Study (UTIAS), The University of Tokyo, Tokyo, Japan.,University of Tokyo Institute for Diversity and Adaptation of Human Mind (UTIDAHM), The University of Tokyo, Tokyo, Japan.,Center for Evolutionary Cognitive Sciences, Graduate School of Art and Sciences, The University of Tokyo, Tokyo, Japan.,UTokyo Center for Integrative Science of Human Behaviour (CiSHuB), The University of Tokyo, Tokyo, Japan
| | - Motomu Suga
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.,Graduate School of Clinical Psychology, Teikyo Heisei University, Tokyo, Japan
| | - Tsuyoshi Araki
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Kiyoto Kasai
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.,The International Research Center for Neurointelligence (WPI-IRCN), University of Tokyo Institutes for Advanced Study (UTIAS), The University of Tokyo, Tokyo, Japan.,University of Tokyo Institute for Diversity and Adaptation of Human Mind (UTIDAHM), The University of Tokyo, Tokyo, Japan.,UTokyo Center for Integrative Science of Human Behaviour (CiSHuB), The University of Tokyo, Tokyo, Japan
| |
Collapse
|
125
|
Kozhuharova P, Saviola F, Ettinger U, Allen P. Neural correlates of social cognition in populations at risk of psychosis: A systematic review. Neurosci Biobehav Rev 2020; 108:94-111. [DOI: 10.1016/j.neubiorev.2019.10.010] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2019] [Revised: 09/23/2019] [Accepted: 10/17/2019] [Indexed: 12/29/2022]
|
126
|
Nelson B, McGorry P. The Prodrome of Psychotic Disorders: Identification, Prediction, and Preventive Treatment. Child Adolesc Psychiatr Clin N Am 2020; 29:57-69. [PMID: 31708053 DOI: 10.1016/j.chc.2019.08.001] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Twenty-five years ago "at risk" for psychosis criteria were introduced to the field. Prediction studies have identified a range of risk factors involved in transition from "at risk" status to first episode psychotic illness, with recent interest in dynamic and multimodal prediction models. Treatment studies have indicated that risk of transition to psychotic disorder can at least be delayed in this clinical population. Although the strongest evidence to date is for cognitive behavioral therapy, the optimal type and sequence of treatment remains an active area of research.
Collapse
Affiliation(s)
- Barnaby Nelson
- Orygen, The National Centre of Excellence in Youth Mental Health, The University of Melbourne, Parkville, Victoria 3052, Australia; Centre for Youth Mental Health, The University of Melbourne, 35 Poplar Road (Locked Bag 10), Parkville, Victoria 3052, Australia.
| | - Patrick McGorry
- Orygen, The National Centre of Excellence in Youth Mental Health, The University of Melbourne, Parkville, Victoria 3052, Australia; Centre for Youth Mental Health, The University of Melbourne, 35 Poplar Road (Locked Bag 10), Parkville, Victoria 3052, Australia
| |
Collapse
|
127
|
Geros H, Sizer H, Mifsud N, Reynolds S, Kim DJ, Eaton S, McGorry P, Nelson B, O'Donoghue B. Migrant status and identification as ultra-high risk for psychosis and transitioning to a psychotic disorder. Acta Psychiatr Scand 2020; 141:52-59. [PMID: 31520527 DOI: 10.1111/acps.13099] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/04/2019] [Indexed: 11/28/2022]
Abstract
BACKGROUND Certain migrant groups are more likely to develop a psychotic disorder compared to the native-born populations, and a younger age at migration is associated with greater risk. However, it is not known at which stage migration has an effect on the development of psychotic disorders. We examined whether migrants were more likely to be identified as ultra-high risk for psychosis (UHR) compared to native-born young people and whether migrant status was associated with the risk of transition to a full-threshold psychotic disorder. METHODS The cohort included all young people aged 15-24 who were identified as UHR at a specialist clinic over a five-year period (2012-16). Australian census data were used to obtain the at-risk population. Poisson regression was used to calculate rate ratios and Cox regression analysis determined hazard ratios. RESULTS 467 young people were identified as UHR, of which 13.5% (n = 63) were born overseas. First-generation migrants were 2.6-fold less likely to be identified as UHR compared to Australian-born young people (IRR = 0.39, 95% CI [0.30, 0.51], P < 0.001). There was no difference between migrant and native-born young people in their risk of transitioning to a psychotic disorder (HR = 0.90, 95% CI [0.39, 2.08], P = 0.81). CONCLUSIONS UHR first-generation migrants may be under-accessing mental health services.
Collapse
Affiliation(s)
- H Geros
- Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, Vic., Australia.,Centre for Youth Mental Health, The University of Melbourne, Parkville, Vic., Australia
| | - H Sizer
- Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, Vic., Australia.,Centre for Youth Mental Health, The University of Melbourne, Parkville, Vic., Australia
| | - N Mifsud
- Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, Vic., Australia.,Centre for Youth Mental Health, The University of Melbourne, Parkville, Vic., Australia
| | - S Reynolds
- Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, Vic., Australia.,Centre for Youth Mental Health, The University of Melbourne, Parkville, Vic., Australia
| | - D J Kim
- Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, Vic., Australia.,Centre for Youth Mental Health, The University of Melbourne, Parkville, Vic., Australia
| | - S Eaton
- Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, Vic., Australia.,Centre for Youth Mental Health, The University of Melbourne, Parkville, Vic., Australia
| | - P McGorry
- Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, Vic., Australia.,Centre for Youth Mental Health, The University of Melbourne, Parkville, Vic., Australia
| | - B Nelson
- Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, Vic., Australia.,Centre for Youth Mental Health, The University of Melbourne, Parkville, Vic., Australia
| | - B O'Donoghue
- Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, Vic., Australia.,Centre for Youth Mental Health, The University of Melbourne, Parkville, Vic., Australia.,Orygen Youth Health, Parkville, Vic., Australia
| |
Collapse
|
128
|
Isaksson J, Vadlin S, Olofsdotter S, Åslund C, Nilsson KW. Psychotic-like experiences during early adolescence predict symptoms of depression, anxiety, and conduct problems three years later: A community-based study. Schizophr Res 2020; 215:190-196. [PMID: 31677809 DOI: 10.1016/j.schres.2019.10.033] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2018] [Revised: 08/23/2019] [Accepted: 10/12/2019] [Indexed: 12/28/2022]
Abstract
Psychotic-like experiences (PLEs), such as delusions and hallucinations, are risk markers for psychiatric symptoms and functional impairment. However, the unique contribution of PLEs to psychiatric symptoms remains unclear. Thus, the aim of this study was to investigate the effect of PLEs on psychiatric symptoms, adjusting for the baseline of such symptoms. We assessed a community-based cohort of young adolescents (N = 1445; mean age = 14.38 years, SD = 1.04) to establish a baseline and reassessed them three years later (mean age = 17.31 years, SD = 1.04). Participants reported PLEs they had experienced in the last year and any internalizing (depression and anxiety) or externalizing (attention-deficit/hyperactivity disorder and conduct problems) psychiatric symptoms. The experience of more PLEs predicted more internalizing symptoms three years later, and to a lesser extent, more conduct problems as well, even when adjusting for the baseline occurrence of these symptoms. The association was not sex-specific, although girls reported more PLEs than did boys. The strongest predictor of internalizing/externalizing symptoms was the occurrence of those same symptoms at baseline. These findings highlight the importance of PLEs as markers for a wide range of psychiatric symptoms, emphasizing the importance of assessing PLEs in early adolescence.
Collapse
Affiliation(s)
- Johan Isaksson
- Department of Neuroscience, Child and Adolescent Psychiatry Unit, Uppsala University, Uppsala, Sweden.
| | - Sofia Vadlin
- Centre for Clinical Research, Västmanland County Hospital Västerås, Uppsala University, Sweden
| | - Susanne Olofsdotter
- Centre for Clinical Research, Västmanland County Hospital Västerås, Uppsala University, Sweden
| | - Cecilia Åslund
- Centre for Clinical Research, Västmanland County Hospital Västerås, Uppsala University, Sweden
| | - Kent W Nilsson
- Centre for Clinical Research, Västmanland County Hospital Västerås, Uppsala University, Sweden
| |
Collapse
|
129
|
Crabtree J, Hudson JL, Newton-John T. Anxiety and Adverse Life Events in Professional Creative and Early Psychosis Populations. Psychiatry 2020; 83:328-343. [PMID: 32946338 DOI: 10.1080/00332747.2020.1777816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
Objective: The association between creativity and psychopathology has intrigued researchers and recent studies have affirmed genetic and epidemiological links. In particular, epidemiological research highlights the need to study what aspects of the creative individual protect or provide risk for transition to psychosis. Two factors, associated with transition to psychosis, will be investigated, namely anxiety and adverse life events. Method: A diverse sample of 110 participants (18-35 years) was examined, including early psychosis (EP), creative professionals who are clinically vulnerable or "at-risk" (ARCC), those with no psychotic symptoms (CC), and non-creative (NCC) participants. Measures of anxiety (DASS) and adverse life events (ALE) were administered to the participants to determine whether these factors were positively or negatively associated with creativity and whether they were able to differentiate the EP from ARCC, CC and NCC participants. Results: Creative cognition and achievement were positively correlated with anxiety. The EP and ARCC groups were more closely aligned than expected on measures of anxiety and adverse life events. Childhood sexual/physical assault were the only variables that differentiated these two groups. Conclusions: These results provide further support for the association between creative professionals and those with early psychosis. It provides corroborating evidence of the vulnerability of creative individuals who appear to be aligned with the early psychosis group on anxiety, aspects of paranoia and overall trauma. The results provide possible innovative avenues for intervention in EP and ARCC.
Collapse
|
130
|
DeCross SN, Farabaugh AH, Holmes AJ, Ward M, Boeke EA, Wolthusen RPF, Coombs G, Nyer M, Fava M, Buckner RL, Holt DJ. Increased amygdala-visual cortex connectivity in youth with persecutory ideation. Psychol Med 2020; 50:273-283. [PMID: 30744715 DOI: 10.1017/s0033291718004221] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
BACKGROUND Subclinical delusional ideas, including persecutory beliefs, in otherwise healthy individuals are heritable symptoms associated with increased risk for psychotic illness, possibly representing an expression of one end of a continuum of psychosis severity. The identification of variation in brain function associated with these symptoms may provide insights about the neurobiology of delusions in clinical psychosis. METHODS A resting-state functional magnetic resonance imaging scan was collected from 131 young adults with a wide range of severity of subclinical delusional beliefs, including persecutory ideas. Because of evidence for a key role of the amygdala in fear and paranoia, resting-state functional connectivity of the amygdala was measured. RESULTS Connectivity between the amygdala and early visual cortical areas, including striate cortex (V1), was found to be significantly greater in participants with high (n = 43) v. low (n = 44) numbers of delusional beliefs, particularly in those who showed persistence of those beliefs. Similarly, across the full sample, the number of and distress associated with delusional beliefs were positively correlated with the strength of amygdala-visual cortex connectivity. Moreover, further analyses revealed that these effects were driven by those who endorsed persecutory beliefs. CONCLUSIONS These findings are consistent with the hypothesis that aberrant assignments of threat to sensory stimuli may lead to the downstream development of delusional ideas. Taken together with prior findings of disrupted sensory-limbic coupling in psychosis, these results suggest that altered amygdala-visual cortex connectivity could represent a marker of psychosis-related pathophysiology across a continuum of symptom severity.
Collapse
Affiliation(s)
- Stephanie N DeCross
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Department of Psychology, Harvard University, Cambridge, MA, USA
| | - Amy H Farabaugh
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Avram J Holmes
- Department of Psychology, Yale University, New Haven, CT, USA
| | - Maeve Ward
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Sidney Kimmel Medical College, Philadelphia, PA, USA
| | - Emily A Boeke
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Department of Psychology, New York University, New York, NY, USA
| | - Rick P F Wolthusen
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Division of Psychological & Social Medicine and Developmental Neurosciences, Faculty of Medicine Carl Gustav Carus of the Technische Universität Dresden, Dresden, Germany
| | - Garth Coombs
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Department of Psychology, Harvard University, Cambridge, MA, USA
| | - Maren Nyer
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Maurizio Fava
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Randy L Buckner
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA
- Harvard Medical School, Boston, MA, USA
- Department of Psychology, Harvard University, Cambridge, MA, USA
| | - Daphne J Holt
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA
- Harvard Medical School, Boston, MA, USA
| |
Collapse
|
131
|
Wilson RS, Shryane N, Yung AR, Morrison AP. Distress related to psychotic symptoms in individuals at high risk of psychosis. Schizophr Res 2020; 215:66-73. [PMID: 31780347 DOI: 10.1016/j.schres.2019.11.027] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2019] [Revised: 11/11/2019] [Accepted: 11/19/2019] [Indexed: 11/29/2022]
Abstract
This study assessed the relationship between distress, severity and frequency of attenuated psychotic symptoms in individuals meeting Ultra High Risk (UHR) criteria, both at baseline and over time. It also assessed distress in relation to attenuated symptoms and whether cognitive behavioural therapy (CBT) reduced distress over time by symptom type. At baseline a combined total of 592 UHR participants (mean age 19.9; males, 53.9%) from two studies were assessed using a confirmatory factor analysis (CFA). Change over time from this baseline point was assessed using latent growth curve (LGC) models, based on participants from one of the studies. Distress associated with psychotic symptom was shown to be a separate psychological construct from severity and frequency. Distress was also significantly associated with severity but not frequency. Longitudinal LGC models with 244 participants showed that distress, severity and frequency all reduced over six months, although the rate of distress reduction varied across symptom type. Non-bizarre ideas (NBI) were more distressing and had the fastest rate of distress reduction over time. The baseline distress for some symptoms also strongly predicted the symptom severity change over time, suggesting that distress may cause change in the UHR criteria for unusual thought content (UTC) and NBI symptoms. CBT was not shown to be significantly different from treatment as usual (TAU) in its effect on distress. However, distress reduces over time, particularly in the first 3 months after presentation. We recommend that distress should be used as an outcome in future research and as a clinical indicator. (250 words).
Collapse
Affiliation(s)
- Rebecca S Wilson
- Division of Psychology and Mental Health, University of Manchester, Oxford Road, Manchester, M13 9PL, UK.
| | - Nick Shryane
- School of Social Sciences, University of Manchester, Oxford Road, Manchester M13 9PL, UK
| | - Alison R Yung
- Division of Psychology and Mental Health, University of Manchester, Oxford Road, Manchester, M13 9PL, UK
| | - Anthony P Morrison
- Division of Psychology and Mental Health, University of Manchester, Oxford Road, Manchester, M13 9PL, UK
| |
Collapse
|
132
|
Hazan H, Spelman T, Amminger GP, Hickie I, McGorry PD, Phillips LJ, Purcell R, Wood SJ, Yung AR, Nelson B. The prognostic significance of attenuated psychotic symptoms in help-seeking youth. Schizophr Res 2020; 215:277-283. [PMID: 31615738 DOI: 10.1016/j.schres.2019.10.016] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2019] [Revised: 10/06/2019] [Accepted: 10/09/2019] [Indexed: 12/30/2022]
Abstract
BACKGROUND Recent findings suggest that attenuated psychotic symptoms (APS) might serve as a risk factor for general mental health impairment in help-seeking youth. The current study was designed to test this possibility by examining the prognostic significance of APS in a large cohort of help-seeking youth not selected for psychosis risk. METHOD 465 youth aged 12-25 referred to general youth mental health services were grouped as either APS + or APS- based on whether or not they met 'ultra high risk' for psychosis APS risk criteria as assessed using the Comprehensive Assessment of At Risk Mental States (CAARMS). They completed clinical assessments at baseline and at 12-month follow-up, measuring a range of psychopathology (depression, anxiety, eating disorders, general psychological distress, substance abuse) and psychosocial functioning. RESULTS APS + had significantly poorer outcomes at 12-months on a range of clinical variables, even after adjusting for baseline scores and amount of treatment received. However, the APS + group showed greater improvement in functioning at follow-up compared to APS-. CONCLUSION Attenuated psychotic symptoms are a prognostic indicator of persistent transdiagnostic mental health problems and reduced response to treatment in help-seeking youth over the short term. Hence, it is critical to screen and assess attenuated psychotic symptoms at the primary and secondary mental health services level, especially given that these subclinical symptoms are rarely voluntarily reported.
Collapse
Affiliation(s)
- H Hazan
- Psychology Department, University of Otago, New Zealand
| | - T Spelman
- Burnet Institute, Melbourne, Australia
| | - G P Amminger
- Orygen, The National Centre of Excellence in Youth Mental Health, The University of Melbourne, Australia; Centre for Youth Mental Health, The University of Melbourne, Australia
| | - I Hickie
- Brain and Mind Research Institute, The University of Sydney, Australia
| | - P D McGorry
- Orygen, The National Centre of Excellence in Youth Mental Health, The University of Melbourne, Australia; Centre for Youth Mental Health, The University of Melbourne, Australia
| | - L J Phillips
- Melbourne School of Psychological Sciences, The University of Melbourne, Australia
| | - R Purcell
- Orygen, The National Centre of Excellence in Youth Mental Health, The University of Melbourne, Australia; Centre for Youth Mental Health, The University of Melbourne, Australia
| | - S J Wood
- Orygen, The National Centre of Excellence in Youth Mental Health, The University of Melbourne, Australia; Centre for Youth Mental Health, The University of Melbourne, Australia; School of Psychology, University of Birmingham, United Kingdom
| | - A R Yung
- Orygen, The National Centre of Excellence in Youth Mental Health, The University of Melbourne, Australia; Centre for Youth Mental Health, The University of Melbourne, Australia; Institute of Brain, Behaviour and Mental Health, University of Manchester, United Kingdom
| | - B Nelson
- Orygen, The National Centre of Excellence in Youth Mental Health, The University of Melbourne, Australia; Centre for Youth Mental Health, The University of Melbourne, Australia.
| |
Collapse
|
133
|
Zarogianni E, Storkey AJ, Borgwardt S, Smieskova R, Studerus E, Riecher-Rössler A, Lawrie SM. Individualized prediction of psychosis in subjects with an at-risk mental state. Schizophr Res 2019; 214:18-23. [PMID: 28935170 DOI: 10.1016/j.schres.2017.08.061] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2017] [Revised: 08/28/2017] [Accepted: 08/31/2017] [Indexed: 11/19/2022]
Abstract
Early intervention strategies in psychosis would significantly benefit from the identification of reliable prognostic biomarkers. Pattern classification methods have shown the feasibility of an early diagnosis of psychosis onset both in clinical and familial high-risk populations. Here we were interested in replicating our previous classification findings using an independent cohort at clinical high risk for psychosis, drawn from the prospective FePsy (Fruherkennung von Psychosen) study. The same neuroanatomical-based pattern classification pipeline, consisting of a linear Support Vector Machine (SVM) and a Recursive Feature Selection (RFE) achieved 74% accuracy in predicting later onset of psychosis. The discriminative neuroanatomical pattern underlying this finding consisted of many brain areas across all four lobes and the cerebellum. These results provide proof-of-concept that the early diagnosis of psychosis is feasible using neuroanatomical-based pattern recognition.
Collapse
Affiliation(s)
- Eleni Zarogianni
- Division of Psychiatry, School of Clinical Sciences, University of Edinburgh, The Royal Edinburgh Hospital, Morningside Park, UK.
| | - Amos J Storkey
- Institute for Adaptive and Neural Computation, University of Edinburgh, UK
| | - Stefan Borgwardt
- Department of Psychiatry (UPK), University of Basel, Switzerland
| | - Renata Smieskova
- Department of Psychiatry (UPK), University of Basel, Switzerland
| | - Erich Studerus
- Center for Gender Research and Early Detection, University of Basel Psychiatric Hospital, Switzerland
| | - Anita Riecher-Rössler
- Center for Gender Research and Early Detection, University of Basel Psychiatric Hospital, Switzerland
| | - Stephen M Lawrie
- Division of Psychiatry, School of Clinical Sciences, University of Edinburgh, The Royal Edinburgh Hospital, Morningside Park, UK
| |
Collapse
|
134
|
Ortega L, Montalvo I, Monseny R, Vilella E, Labad J. Perceived stress mediates the relationship between social adaptation and quality of life in individuals at ultra high risk of psychosis. Early Interv Psychiatry 2019; 13:1447-1454. [PMID: 30690915 DOI: 10.1111/eip.12791] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2018] [Revised: 11/30/2018] [Accepted: 12/26/2018] [Indexed: 01/02/2023]
Abstract
AIM Quality of life (QoL) and social functioning have emerged as good predictors of the outcome of psychotic disorders. Poor QoL and social functioning are usually present before the onset of the first episode of psychosis. Our study aimed to explore the relationship between social adaptation and QoL in young people at risk of psychosis (ultra-high-risk, UHR) and healthy controls (HCs), and to investigate potential mediating effects of stress measures (perceived stress, stressful life events). METHODS The study included 55 UHR subjects and 40 HC. Social functioning was assessed with the Social Adaptation Self-evaluation Scale (SASS). Stress measures included the assessment of stressful life events and perceived stress. We compared stress and QoL measures between UHR and HC, and also compared UHR with low or normal social adaptation. A mediation analysis was performed to explore whether stress measures mediated the relationship between social adaptation and QoL. RESULTS UHR were less frequently employed and reported more stress, poorer QoL and lower social adaptation than HC. QoL and social adaptation were associated with stress measures. UHR with low social adaptation reported more perceived stress and less QoL than UHR with normal social adaptation and HC. Perceived stress mediated the relationship between social adaptation and QoL. CONCLUSIONS Social adaptation is less developed in UHR subjects than in healthy subjects and has a negative impact on quality of life. This association is mediated by perceived stress.
Collapse
Affiliation(s)
- Laura Ortega
- Hospital Universitari Institut Pere Mata, IISPV, Universitat Rovira i Virgili, CIBERSAM, Reus, Spain.,Nursing Department, Universitat Rovira i Vigili, Tarragona, Spain
| | - Itziar Montalvo
- Parc Taulí Hospital Universitari, I3PT, Universitat Autònoma de Barcelona, CIBERSAM, Sabadell, Spain
| | - Rosa Monseny
- Hospital Universitari Institut Pere Mata, IISPV, Universitat Rovira i Virgili, CIBERSAM, Reus, Spain
| | - Elisabet Vilella
- Hospital Universitari Institut Pere Mata, IISPV, Universitat Rovira i Virgili, CIBERSAM, Reus, Spain
| | - Javier Labad
- Parc Taulí Hospital Universitari, I3PT, Universitat Autònoma de Barcelona, CIBERSAM, Sabadell, Spain
| |
Collapse
|
135
|
Michielse S, Lange I, Bakker J, Goossens L, Verhagen S, Papalini S, Wichers M, Lieverse R, Schruers K, van Amelsvoort T, van Os J, Murray GK, Marcelis M. Reward anticipation in individuals with subclinical psychotic experiences: A functional MRI approach. Eur Neuropsychopharmacol 2019; 29:1374-1385. [PMID: 31685359 DOI: 10.1016/j.euroneuro.2019.10.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2018] [Revised: 07/15/2019] [Accepted: 10/07/2019] [Indexed: 11/18/2022]
Abstract
Previous research in patients with psychotic disorder has shown widespread abnormalities in brain activation during reward anticipation. Research at the level of subclinical psychotic experiences in individuals unexposed to antipsychotic medication is limited with inconclusive results. Therefore, brain activation during reward anticipation was examined in a larger sample of individuals with subclinical psychotic experiences (PE). Participants in the PE-group were included based on CAPE scores. A sample of emerging adults aged 16-26 years (n = 47) with PE and healthy controls (HC) (n = 40) underwent fMRI scanning. The Monetary Incentive Delay task was conducted with cues related to win, loss or neutral conditions. fMRI nonparametric tests were used to examine the reward versus neutral cue contrast. A significant main effect of the large win (€3.00) > neutral contrast was found in both groups showing activation in many brain areas, including classic reward regions. Whole brain analysis on the group comparison regarding the large win > neutral contrast showed significantly decreased activation in the right insula, putamen and supramarginal gyrus in the PE-group compared to controls. There was no group difference in the hypothesized reward-related region. Decreased activation in the right insula, putamen and supramarginal gyrus during reward anticipation in individuals with PE may be consistent with altered processing of sensory information, related to decreased emotional valuing and motivational tendencies and/or altered motor-cognitive processes. The absence of group differences in striatal activation suggests that activation here is intact in the earliest stages of psychosis and may exhibit progressive deterioration in as the disease develops.
Collapse
Affiliation(s)
- Stijn Michielse
- Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, EURON, Maastricht University Medical Centre, PO Box 616, 6200 MD, Maastricht, the Netherlands.
| | - Iris Lange
- Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, EURON, Maastricht University Medical Centre, PO Box 616, 6200 MD, Maastricht, the Netherlands
| | - Jindra Bakker
- Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, EURON, Maastricht University Medical Centre, PO Box 616, 6200 MD, Maastricht, the Netherlands; Department of Neuroscience, Center for Contextual Psychiatry, KU Leuven, Leuven, Belgium
| | - Liesbet Goossens
- Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, EURON, Maastricht University Medical Centre, PO Box 616, 6200 MD, Maastricht, the Netherlands
| | - Simone Verhagen
- Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, EURON, Maastricht University Medical Centre, PO Box 616, 6200 MD, Maastricht, the Netherlands
| | - Silvia Papalini
- Laboratory of Biological Psychology, Faculty of Psychology and Educational Sciences, Leuven Brain Institute, KU Leuven, Belgium
| | - Marieke Wichers
- Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Ritsaert Lieverse
- Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, EURON, Maastricht University Medical Centre, PO Box 616, 6200 MD, Maastricht, the Netherlands
| | - Koen Schruers
- Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, EURON, Maastricht University Medical Centre, PO Box 616, 6200 MD, Maastricht, the Netherlands; Faculty of Psychology, Center for Experimental and Learning Psychology, University of Leuven, Leuven, Belgium
| | - Therese van Amelsvoort
- Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, EURON, Maastricht University Medical Centre, PO Box 616, 6200 MD, Maastricht, the Netherlands
| | - Jim van Os
- Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, EURON, Maastricht University Medical Centre, PO Box 616, 6200 MD, Maastricht, the Netherlands; King's Health Partners, Department of Psychosis Studies, Institute of Psychiatry, King's College London, London, England; Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Graham K Murray
- Department of Psychiatry, University of Cambridge, Cambridge Biomedical Campus, Cambridge, United Kingdom; Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, United Kingdom
| | - Machteld Marcelis
- Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, EURON, Maastricht University Medical Centre, PO Box 616, 6200 MD, Maastricht, the Netherlands; Institute for Mental Health Care Eindhoven (GGzE), Eindhoven, the Netherlands
| |
Collapse
|
136
|
Pozza A, Dèttore D. Modular cognitive‐behavioral therapy for affective symptoms in young individuals at ultra‐high risk of first episode of psychosis: Randomized controlled trial. J Clin Psychol 2019; 76:392-405. [DOI: 10.1002/jclp.22901] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Affiliation(s)
- Andrea Pozza
- Department of Health SciencesUniversity of FlorenceFlorence Italy
| | - Davide Dèttore
- Department of Health SciencesUniversity of FlorenceFlorence Italy
| |
Collapse
|
137
|
Erim BR, Boztaş H, Yıldız M, Uygun E. The Factors Affecting the Relationship between Remission Status and Employment in Chronic Schizophrenia Patients. Psychiatry Investig 2019; 16:860-867. [PMID: 31684714 PMCID: PMC6877458 DOI: 10.30773/pi.2019.0087] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2019] [Accepted: 08/23/2019] [Indexed: 01/30/2023] Open
Abstract
OBJECTIVE Symptomatic remission have substantial effects in long-term schizophrenia outcome, but exact determinants of the employment. In this study, the relationship between employment and symptomatic remission in chronic schizophrenia patients and other factors related to employment were investigated. METHODS 100 patients interviewed were evaluated by the Positive and Negative Syndrome Scale (PANSS), Functional Recovery Scale in Schizophrenia (FROGS), Global Assessment of Functioning (GAF), Quality of Life Scale (QoL) and Subjective Recovery Assessment Scale (SubRAS). Sociodemographic variables, clinical features, antipsychotic dose and past working history obtained from patient interviews were investigated. RESULTS The patients of 40% who participate in the study were symptomatic remission, but only 53.5% of these patients weren't employed. Young age, especially, -regardless of the onset of illness- working a job in the past, low and moderate use CPED (equivalent doses according to chlorpromazine), shorter disease duration, symptomatic remission was found to be closely related to employment. While QoL, FROGS, GAF, and SubRAS total scores of employment group were higher than the unemployment group, PANSS total scores in the unemployment group were higher than that of the employment group. There was a high correlation between the scales and employment status. CONCLUSION Employment status was closely related with the remission status. This study supports that symptomatic remission alone is not decisive for employment. It was found that younger age, past working history (before or after the disease), low and intermediate CPED antipsychotic use and shorter duration of disease were closely related to employment with symptomatic remission.
Collapse
Affiliation(s)
- Burcu Rahşan Erim
- Department of Psychiatry, Faculty of Medicine, Bolu Abant Izzet Baysal University, Bolu, Turkey
| | - Hamid Boztaş
- Department of Psychiatry, Faculty of Medicine, Bolu Abant Izzet Baysal University, Bolu, Turkey
| | - Mustafa Yıldız
- Department of Psychiatry, Faculty of Medicine, Kocaeli University, Kocaeli, Turkey
| | - Ersin Uygun
- Department of Psychiatry, Bakirkoy Research and Training Hospital for Psychiatric and Neurological Diseases University of Health Sciences, Istanbul, Turkey
| |
Collapse
|
138
|
Azis M, Strauss GP, Walker E, Revelle W, Zinbarg R, Mittal V. Factor Analysis of Negative Symptom Items in the Structured Interview for Prodromal Syndromes. Schizophr Bull 2019; 45:1042-1050. [PMID: 30535399 PMCID: PMC6737478 DOI: 10.1093/schbul/sby177] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
BACKGROUND Negative symptoms occur early in the clinical high risk (CHR) state and indicate increased risk of conversion to psychotic disorder and poor functional outcome. However, while the negative symptom domain has shown to be parsimoniously explained by a 2-factor construct in schizophrenia, there has yet to be an established factor structure of negative symptoms in CHR. METHODS 214 individuals meeting the Structured Interview for Psychosis-Risk Syndromes (SIPS) criteria for CHR were recruited through 3 active research programs in the United States. Exploratory Factor Analysis was conducted on the 6 negative symptom items of the SIPS, and factors were evaluated with respect to functional outcome and depression. RESULTS Factor analysis indicated a 2-factor hierarchical model with 2 negative symptom dimensions reflecting volition (Occupational Functioning and Avolition) and emotion (Expression of Emotion, Experience of Emotion and Social Anhedonia). Linear Regression showed that the emotion factor was associated with poor social function, and the volition factor was associated with poor role function and depression. CONCLUSIONS Similar to factor solutions identified in adults diagnosed with psychotic disorders, results indicated that the SIPS negative symptom subscale is not a unidimensional construct. Rather, the SIPS negative subscale has 2 distinct factors that have different associations with clinical outcome and should be interpreted independently. Results have significant relevance for informing the valid assessment and conceptual interpretation of early clinical phenomenology in the psychosis prodrome.
Collapse
Affiliation(s)
- Matilda Azis
- Department of Psychology, Department of Psychiatry, Department of Medical Social Sciences, Institute for Policy Research, Institute for Innovations in Developmental Sciences, Northwestern University, Evanston, IL
| | | | - Elaine Walker
- Department of Psychology and Psychiatry, Emory University, Atlanta, GA
| | - William Revelle
- Department of Psychology, Department of Psychiatry, Department of Medical Social Sciences, Institute for Policy Research, Institute for Innovations in Developmental Sciences, Northwestern University, Evanston, IL
| | - Richard Zinbarg
- Department of Psychology, Department of Psychiatry, Department of Medical Social Sciences, Institute for Policy Research, Institute for Innovations in Developmental Sciences, Northwestern University, Evanston, IL
| | - Vijay Mittal
- Department of Psychology, Department of Psychiatry, Department of Medical Social Sciences, Institute for Policy Research, Institute for Innovations in Developmental Sciences, Northwestern University, Evanston, IL
| |
Collapse
|
139
|
Can schizophrenia be predicted on the basis of a symptom? A psychopathological appraisal of early detection research in schizophrenia. Encephale 2019; 44:S21-S23. [PMID: 30935482 DOI: 10.1016/s0013-7006(19)30074-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Predictive prospective studies of schizophrenia date back to the late 1950s. At the turn of the Millennium, an Australian research group initiated programs of early detection of schizophrenia and early therapeutic intervention. The theoretical foundations of early schizophrenia detection usually remain unaddressed. In this paper, we focus on the issue of prediction of future schizophrenia in the general population on the basis of a symptomatic picture. Several notions used in this research program such as disease, symptom, and clinical staging derive from a medical model, which in our view is not entirely adequate for grasping the nature of schizophrenia. Schizophrenia is a spectrum of disorders with a shared core Gestalt comprising dis-order of selfhood and intersubjectivity. This core Gestalt has manifold manifestations, often predominantly in the existential or experiential domain. It is not feasible to apply medical concepts to this symptomatically poorly demarcated spectrum for which we do not know robust biological validators. Moreover, there is increasing evidence that the current DSM and ICD criteria of schizophrenia distort the original concept of schizophrenia and are formulated on a very high severity level. This often results in incorrect diagnoses of young help-seeking patients. In sum, it seems more appropriate to detect psychosis among already help-seeking patients than to implement detection programs in the general population. We discuss a reorientation of psychiatry towards more refined psychopathological knowledge and assessment that are needed in order to optimize the treatment of young help-seeking patients.
Collapse
|
140
|
Pelizza L, Paterlini F, Azzali S, Garlassi S, Scazza I, Pupo S, Simmons M, Nelson B, Raballo A. The approved Italian version of the comprehensive assessment of at-risk mental states (CAARMS-ITA): Field test and psychometric features. Early Interv Psychiatry 2019; 13:810-817. [PMID: 29696795 DOI: 10.1111/eip.12669] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2017] [Accepted: 03/13/2018] [Indexed: 12/19/2022]
Abstract
AIM The Comprehensive Assessment of At-Risk Mental States (CAARMS) was specifically developed to assess and detect young people at ultra-high risk (UHR) of developing psychosis. The current study was undertaken to test the reliability and validity of the authorized Italian version of the CAARMS (CAARMS-ITA) in a help-seeking population. METHODS Psychometric properties of the CAARMS-ITA were established using a sample of 223 Italian adolescents and young adults aged between 13 and 35 years, who were divided into 3 groups according to the CAARMS criteria: UHR-negative individuals (UHR [-]; n = 64), UHR-positive (UHR [+]; n = 55) and individuals with a first-episode psychosis (FEP; n = 104). The CAARMS-ITA's reliability was tested measuring interrater reliability and internal consistency. Construct validity was tested comparing the Positive and Negative Syndrome Scale (PANSS) and CAARMS-ITA subscale scores across groups (ie, UHR [-], UHR [+] and FEP). For concurrent validity, we studied correlations between symptoms of the CAARMS-ITA and their equivalents in the PANSS. Finally, the predictive validity was examined by following up with UHR [+] individuals. The 12-month transition rate to psychosis was calculated. RESULTS The CAARMS-ITA showed good interrater reliability. The PANSS "Positive Symptoms" subscale scores in UHR [+] individuals were intermediate between FEP and UHR [-] groups. The positive and negative symptoms scores of the CAARMS-ITA significantly correlated with the corresponding scores of the PANSS. After 12 months, 4 of 41 (9.8%) UHR [+] individuals had transitioned to psychosis. CONCLUSIONS The CAARMS-ITA is a reliable and valid instrument for assessing and detecting at-risk mental states in Italian clinical settings. It also appears to be helpful in the prediction of psychosis transition.
Collapse
Affiliation(s)
- Lorenzo Pelizza
- Department of Mental Health and Addiction, Reggio Emilia Public Health Centre, Reggio Emilia, Italy
| | - Federica Paterlini
- Department of Mental Health and Addiction, Reggio Emilia Public Health Centre, Reggio Emilia, Italy
| | - Silvia Azzali
- Department of Mental Health and Addiction, Reggio Emilia Public Health Centre, Reggio Emilia, Italy
| | - Sara Garlassi
- Department of Mental Health and Addiction, Reggio Emilia Public Health Centre, Reggio Emilia, Italy
| | - Ilaria Scazza
- Department of Mental Health and Addiction, Reggio Emilia Public Health Centre, Reggio Emilia, Italy
| | - Simona Pupo
- Intensive Care Unit, Guastalla Civil Hospital, Reggio Emilia Public Health Centre, Reggio Emilia, Italy
| | - Magenta Simmons
- Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia.,Orygen, The National Centre of Excellence in Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Barnaby Nelson
- Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia.,Orygen, The National Centre of Excellence in Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Andrea Raballo
- Department of Psychology, Childhood and Development Research Group, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| |
Collapse
|
141
|
Stainton A, Chisholm K, Kaiser N, Rosen M, Upthegrove R, Ruhrmann S, Wood SJ. Resilience as a multimodal dynamic process. Early Interv Psychiatry 2019; 13:725-732. [PMID: 30126047 DOI: 10.1111/eip.12726] [Citation(s) in RCA: 121] [Impact Index Per Article: 20.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2018] [Revised: 06/15/2018] [Accepted: 07/29/2018] [Indexed: 12/12/2022]
Abstract
AIM Resilience is rapidly gaining momentum in mental health literature. It provides a new understanding of the highly variable trajectories of mental illness, and has consistently been linked with improved mental health outcomes. The present review aims to clarify the definition of resilience and to discuss new directions for the field. METHODS After discussing the definition of resilience, this narrative review synthesizes evidence that identifies the specific protective factors involved in this process. This review also addresses the mechanisms that underlie resilience. RESULTS Recent literature has clarified the three core components of resilience, which are the presence of an adversity or specific risk for mental illness; the influence of protective factors that supersede this risk; and finally, a subsequently more positive outcome than expected. Now that these are largely agreed upon, the field should move on to addressing other topics. Resilience is a dynamic process by which individuals utilize protective factors and resources to their benefit. It can vary within one individual across time and circumstance. It can also refer to good functional outcomes in the context of diagnosable illness. While previous research has focused on psychological resilience, it is essential that resilience is conceptualized across modalities. CONCLUSIONS The field should move towards the development of a multimodal model of resilience. Researchers should now focus on producing empirical research which clarifies the specific protective factors and mechanisms of the process, aligning with the core concepts of resilience. This growing, more homogeneous evidence base, can then inform new intervention strategies.
Collapse
Affiliation(s)
- Alexandra Stainton
- Institute for Mental Health, School of Psychology, University of Birmingham, Birmingham, UK
| | - Katharine Chisholm
- Institute for Mental Health, School of Psychology, University of Birmingham, Birmingham, UK
| | - Nathalie Kaiser
- Department of Psychiatry and Psychotherapy, University of Cologne, Cologne, Germany
| | - Marlene Rosen
- Department of Psychiatry and Psychotherapy, University of Cologne, Cologne, Germany
| | - Rachel Upthegrove
- Institute for Mental Health, School of Psychology, University of Birmingham, Birmingham, UK.,Birmingham Early Intervention in Psychosis Service, Birmingham Women's and Children's NHS Foundation Trust, UK
| | - Stephan Ruhrmann
- Department of Psychiatry and Psychotherapy, University of Cologne, Cologne, Germany
| | - Stephen J Wood
- Institute for Mental Health, School of Psychology, University of Birmingham, Birmingham, UK.,Orygen, The National Centre of Excellence in Youth Mental Health, Melbourne, Victoria, Australia.,Centre for Youth Mental Health, University of Melbourne, Parkville, Victoria, Australia
| |
Collapse
|
142
|
Poletti M, Pelizza L, Azzali S, Paterlini F, Garlassi S, Scazza I, Chiri LR, Gebhardt E, Pupo S, Andrea R. Clinical high risk for psychosis in childhood and adolescence: findings from the 2-year follow-up of the ReARMS project. Eur Child Adolesc Psychiatry 2019; 28:957-971. [PMID: 30506419 DOI: 10.1007/s00787-018-1262-5] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2017] [Accepted: 11/29/2018] [Indexed: 12/25/2022]
Abstract
The clinical significance and the prognostic value of clinical high risk (CHR) for psychosis, while substantially corroborated in adults, remains less firmly established in children and early adolescents. This follow-up study, developed within the Reggio Emilia At Risk Mental States project, is meant to contribute to the reduction of such lacuna, and has two main aims: (1) to characterize the clinical profile of help seekers [stratified in non-CHR, CHR and first episode psychosis (FEP)] referred to child-adolescent mental health services; and (2) to monitor the cumulative transition rate from CHR to FEP in adolescents at the follow-up of 12 and 24 months. 112 adolescents (aged 13-18 years) were assessed with the Comprehensive Assessment of At-Risk Mental States and the Schizophrenia Proneness Instrument, Child and Youth version. 51 subjects met CHR criteria (45.5% of the sample) and 33 subjects met FEP criteria (29.5%) at baseline. The criterial transition rate from CHR to FEP was 7% over 12 months and 13% over 24 months; higher rates of cumulative transition were detected when also functional transition (indexed by the consensual introduction of antipsychotic medication by the treating clinical staff) was considered. The identification of CHR for psychosis in help-seeking adolescents is feasible and clinically relevant. Studies conducted in real world, publicly funded components of the national health system, should take into consideration not only criterial, psychometric transition, but also functional equivalents of transition.
Collapse
Affiliation(s)
- Michele Poletti
- Department of Mental Health and Pathological Addiction, AUSL-IRCSS di Reggio Emilia, Via Amendola n.2, 42100, Reggio Emilia (RE), Italy
| | - Lorenzo Pelizza
- Department of Mental Health and Pathological Addiction, AUSL-IRCSS di Reggio Emilia, Via Amendola n.2, 42100, Reggio Emilia (RE), Italy.
| | - Silvia Azzali
- Department of Mental Health and Pathological Addiction, AUSL-IRCSS di Reggio Emilia, Via Amendola n.2, 42100, Reggio Emilia (RE), Italy
| | - Federica Paterlini
- Department of Mental Health and Pathological Addiction, AUSL-IRCSS di Reggio Emilia, Via Amendola n.2, 42100, Reggio Emilia (RE), Italy
| | - Sara Garlassi
- Department of Mental Health and Pathological Addiction, AUSL-IRCSS di Reggio Emilia, Via Amendola n.2, 42100, Reggio Emilia (RE), Italy
| | - Ilaria Scazza
- Department of Mental Health and Pathological Addiction, AUSL-IRCSS di Reggio Emilia, Via Amendola n.2, 42100, Reggio Emilia (RE), Italy
| | - Luigi Rocco Chiri
- Department of Mental Health and Pathological Addiction, AUSL di Bologna, Bologna, Italy
| | - Eva Gebhardt
- Cmed Polyspecialistic Diagnostic and Therapeutic Centre, Rome, Italy
| | - Simona Pupo
- Intensive Care Unit, Anesthesia and Resuscitation Service, Guastalla Civil Hospital, AUSL-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Raballo Andrea
- Department of Psychology, Childhood and Development Research Group, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| |
Collapse
|
143
|
Hsiung DY, Tsai CL, Chiang LC, Ma WF. Screening nursing students to identify those at high risk of poor mental health: a cross-sectional survey. BMJ Open 2019; 9:e025912. [PMID: 31243030 PMCID: PMC6597654 DOI: 10.1136/bmjopen-2018-025912] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
OBJECTIVES This study aimed to identify those at high risk of poor mental health among nursing students and to examine the relationships and consistency among five mental health assessments. DESIGN A cross-sectional design with purposive sampling was used. Four mental health screening tools plus previous mental health history/information were conducted during June 2015 to October 2016. SETTING A nursing major university in Taiwan. PARTICIPANTS A total of 2779 participants aged between 19 and 45 years were recruited. MAIN OUTCOME MEASURES Five mental health risks were identified: increased risk for ultra-high risk, putative prepsychosis states, high trait anxiety, high state anxiety with genetic risk and depression. RESULTS Out of the 3395 collected questionnaire, 2779 (82%) were found valid and included in the study. 612 (22%) of the participants were identified to be at mental health risk. 12 of them appeared positive in four, 79 in three, 148 in two and 373 in one of the adopted mental health screening tools. 69 participants had the experience of seeking medical help due to mental health issues, and 58% of them were identified to be at risk of mental health during the screening. Trait and state anxiety scored the highest in correlation analysis (r(2620)=0.76, p<0.001). Correlations were observed in the scores on the subscales of Chinese Version of Schizotypal Personality Questionnaire-Brief (CSPQ-B) and those of Brief self-report Questionnaire for Screening Putative Prepsychotic States (BQSPS), and the highest correlation coefficients was (r(2740)=0.70, p<0.001). Although both of the screening tools are used to assess mental illness risk at its prodromal phase, but CSPQ-B in general appeared to have more rigorous screening criteria than BQSPS. CONCLUSION For expediting early identification high risk of poor mental health, easy-to-use screening questionnaires can be adopted to assess the mental health state of nursing students whose mental well-being and overall health are of vital importance to the entire healthcare industry.
Collapse
Affiliation(s)
- Der-Yun Hsiung
- Department of Public Health, China Medical University, Taichung, Taiwan
- Department of Nursing, HungKuang University, Taichung, Taiwan
| | - Ching-Lun Tsai
- Department of Public Health, China Medical University, Taichung, Taiwan
| | | | - Wei-Fen Ma
- School of Nursing, China Medical University, Taichung, Taiwan
- Department of Nursing, China Medical University Hospital, Taichung, Taiwan
- Brain Disease Research Center, China Medical University Hospital, Taichung, Taiwan
| |
Collapse
|
144
|
Bang M, Park JY, Kim KR, Lee SY, Song YY, Kang JI, Lee E, An SK. Suicidal ideation in individuals at ultra-high risk for psychosis and its association with suspiciousness independent of depression. Early Interv Psychiatry 2019; 13:539-545. [PMID: 29164799 DOI: 10.1111/eip.12517] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2017] [Revised: 08/22/2017] [Accepted: 09/30/2017] [Indexed: 12/28/2022]
Abstract
AIM Psychotic experiences, including delusions and hallucinations, and their attenuated forms have been recently suggested as a significant but under-recognized marker of suicide risk. However, the relationship between attenuated positive symptoms and suicide has not yet been clearly demonstrated in individuals at ultra-high risk (UHR) for psychosis. Here, we investigated the effect of attenuated positive symptoms on suicidal ideation in UHR individuals. METHODS Fifty-three healthy controls (HCs) and 74 UHR individuals participated in the present study. All participants were assessed for the intensity of suicidal ideation and depressive symptoms at baseline. The effect of attenuated positive symptoms on suicidal ideation in the UHR group was examined using a multiple linear regression analysis after adjustment for concurrent depressive symptoms. RESULTS UHR participants were found to have significantly greater suicidal ideation and more severe depressive symptoms compared to those of HCs. The regression model demonstrated that suspiciousness significantly increased suicidal ideation in UHR participants, independent of the severity of depressive symptoms. CONCLUSION The findings of the present study suggest that suspiciousness may serve as a risk indicator for suicide in clinical practice for UHR individuals. It is crucial to focus on the risk of suicide in the UHR population, as they require sufficient clinical attention and proper management for crises related to their unusual and confusing experiences.
Collapse
Affiliation(s)
- Minji Bang
- Department of Psychiatry, Yonsei University College of Medicine, Severance Hospital, Seoul, Republic of Korea.,Section of Self, Affect, and Neuroscience, Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jin Young Park
- Section of Self, Affect, and Neuroscience, Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.,Department of Psychiatry, Yonsei University College of Medicine, Gangnam Severance Hospital, Seoul, Republic of Korea
| | - Kyung Ran Kim
- Department of Psychiatry, Yonsei University College of Medicine, Severance Hospital, Seoul, Republic of Korea.,Section of Self, Affect, and Neuroscience, Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Su Young Lee
- Section of Self, Affect, and Neuroscience, Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.,Department of Psychiatry, Cheil General Hospital and Women's Healthcare Center, Dankook University College of Medicine, Seoul, Republic of Korea
| | - Yun Young Song
- Section of Self, Affect, and Neuroscience, Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jee In Kang
- Department of Psychiatry, Yonsei University College of Medicine, Severance Hospital, Seoul, Republic of Korea.,Section of Self, Affect, and Neuroscience, Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Eun Lee
- Department of Psychiatry, Yonsei University College of Medicine, Severance Hospital, Seoul, Republic of Korea.,Section of Self, Affect, and Neuroscience, Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Suk Kyoon An
- Department of Psychiatry, Yonsei University College of Medicine, Severance Hospital, Seoul, Republic of Korea.,Section of Self, Affect, and Neuroscience, Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.,Graduate Program in Cognitive Science, Yonsei University, Seoul, Republic of Korea
| |
Collapse
|
145
|
Abstract
PURPOSE OF REVIEW The objective of this article is to highlight the potential role of the galantamine-memantine combination as a novel antioxidant treatment for schizophrenia. RECENT FINDINGS In addition to the well-known mechanisms of action of galantamine and memantine, these medications also have antioxidant activity. Furthermore, an interplay exists between oxidative stress, inflammation (redox-inflammatory hypothesis), and kynurenine pathway metabolites. Also, there is an interaction between brain-derived neurotrophic factor and oxidative stress in schizophrenia. Oxidative stress may be associated with positive, cognitive, and negative symptoms and impairments in white matter integrity in schizophrenia. The antipsychotic-galantamine-memantine combination may provide a novel strategy in schizophrenia to treat positive, cognitive, and negative symptoms. SUMMARY A "single antioxidant" may be inadequate to counteract the complex cascade of oxidative stress. The galantamine-memantine combination as "double antioxidants" is promising. Hence, randomized controlled trials are warranted with the antipsychotic-galantamine-memantine combination with oxidative stress and antioxidant biomarkers in schizophrenia.
Collapse
|
146
|
Nakamura M, Takahashi T, Takayanagi Y, Sasabayashi D, Katagiri N, Sakuma A, Obara C, Koike S, Yamasue H, Furuichi A, Kido M, Nishikawa Y, Noguchi K, Matsumoto K, Mizuno M, Kasai K, Suzuki M. Surface morphology of the orbitofrontal cortex in individuals at risk of psychosis: a multicenter study. Eur Arch Psychiatry Clin Neurosci 2019; 269:397-406. [PMID: 29572660 DOI: 10.1007/s00406-018-0890-6] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2017] [Accepted: 03/16/2018] [Indexed: 11/28/2022]
Abstract
Changes in the surface morphology of the orbitofrontal cortex (OFC), such as a fewer orbital sulci and altered sulcogyral pattern of the 'H-shaped' orbital sulcus, have been reported in schizophrenia, possibly reflecting abnormal neurodevelopment during gestation. However, whether high-risk subjects for developing psychosis also exhibit these gross morphologic anomalies is not well documented. This multicenter MRI study from four scanning sites in Japan investigated the distribution of the number of intermediate and posterior orbital sulci, as well as the OFC sulcogyral pattern, in 125 individuals with an at-risk mental state (ARMS) [of whom 22 later developed psychosis (ARMS-P) and 89 did not (ARMS-NP)] and 110 healthy controls. The ARMS group as a whole had a significantly lower number of intermediate and posterior orbital sulci compared with the controls, which was associated with prodromal symptomatology. However, there was no group difference in OFC pattern distribution. The ARMS-P and -NP groups did not differ in OFC surface morphology. These results suggest that gross morphology of the OFC in high-risk subjects may at least partly reflect neurodevelopmental pathology related to vulnerability to psychosis.
Collapse
Affiliation(s)
- Mihoko Nakamura
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, 2630 Sugitani, Toyama, Japan.
| | - Tsutomu Takahashi
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, 2630 Sugitani, Toyama, Japan
| | - Yoichiro Takayanagi
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, 2630 Sugitani, Toyama, Japan
| | - Daiki Sasabayashi
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, 2630 Sugitani, Toyama, Japan
| | - Naoyuki Katagiri
- Department of Neuropsychiatry, Toho University School of Medicine, Tokyo, Japan
| | - Atsushi Sakuma
- Department of Psychiatry, Tohoku University Hospital, Sendai, Japan
| | - Chika Obara
- Department of Psychiatry, Tohoku University Hospital, Sendai, Japan
| | - Shinsuke Koike
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Hidenori Yamasue
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.,Department of Psychiatry, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Atsushi Furuichi
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, 2630 Sugitani, Toyama, Japan
| | - Mikio Kido
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, 2630 Sugitani, Toyama, Japan
| | - Yumiko Nishikawa
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, 2630 Sugitani, Toyama, Japan
| | - Kyo Noguchi
- Department of Radiology, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan
| | - Kazunori Matsumoto
- Department of Psychiatry, Tohoku University Hospital, Sendai, Japan.,Department of Psychiatry, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Masafumi Mizuno
- Department of Neuropsychiatry, Toho University School of Medicine, Tokyo, Japan
| | - Kiyoto Kasai
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.,International Research Center for Neurointelligence (WPI-IRCN), UTIAS, The University of Tokyo, Tokyo, Japan
| | - Michio Suzuki
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, 2630 Sugitani, Toyama, Japan
| |
Collapse
|
147
|
Barajas A, Pelaez T, González O, Usall J, Iniesta R, Arteaga M, Jackson C, Baños I, Sánchez B, Dolz M, Obiols JE, Haro JM, Ochoa S, Arranz B, Arteaga M, Asensio R, Autonell J, Baños I, Bañuelos M, Barajas A, Barceló M, Blanc M, Borrás M, Busquets E, Carlson J, Carral V, Castro M, Corbacho C, Coromina M, Dachs I, De Miquel L, Dolz M, Domenech MD, Elias M, Espezel I, Falo E, Fargas A, Foix A, Fusté M, Godrid M, Gómez D, González O, Granell L, Gumà L, Haro JM, Herrera S, Huerta E, Lacasa F, Mas N, Martí L, Martínez R, Matalí J, Miñambres A, Muñoz D, Muñoz V, Nogueroles R, Ochoa S, Ortiz J, Pardo M, Planella M, Pelaez T, Peruzzi S, Rivero S, Rodriguez MJ, Rubio E, Sammut S, Sánchez M, Sánchez B, Serrano E, Solís C, Stephanotto C, Tabuenca P, Teba S, Torres A, Urbano D, Usall J, Vilaplana M, Villalta V. Predictive capacity of prodromal symptoms in first-episode psychosis of recent onset. Early Interv Psychiatry 2019; 13:414-424. [PMID: 29116670 DOI: 10.1111/eip.12498] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2017] [Revised: 07/16/2017] [Accepted: 08/20/2017] [Indexed: 11/28/2022]
Abstract
BACKGROUND Both the nature and number of a wide range of prodromal symptoms have been related to the severity and type of psychopathology in the psychotic phase. However, at present there is an incomplete picture focused mainly on the positive pre-psychotic dimension. AIM To characterize the prodromal phase retrospectively, examining the number and nature of prodromal symptoms as well as their relationship with psychopathology at the onset of first-episode psychosis. METHODS Retrospective study of 79 patients experiencing a first-episode psychosis of less than 1 year from the onset of full-blown psychosis. All patients were evaluated with a comprehensive battery of instruments including socio-demographic and clinical questionnaire, IRAOS interview, PANSS, stressful life events scale (PERI) and WAIS/WISC (vocabulary subtest). Bivariate associations and multiple regression analysis were performed. RESULTS Regression models revealed that several prodromal dimensions of IRAOS (delusions, affect, language, behaviour and non-hallucinatory disturbances of perception) predicted the onset of psychosis, with positive (22.4% of the variance) and disorganized (25.6% of the variance) dimensions being the most widely explained. CONCLUSION In addition to attenuated positive symptoms, other symptoms such as affective, behavioural and language disturbances should also be considered in the definitions criteria of at-high-risk people.
Collapse
Affiliation(s)
- Ana Barajas
- Department of Research, Centre d'Higiene Mental Les Corts, Barcelona, Spain.,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain.,Hospital Sant Joan de Déu de Barcelona, Centro de Investigación Biomédica en Red de Salud Mental, Esplugues de Llobregat, Barcelona, Spain.,Fundació Sant Joan de Déu de Barcelona, Centro de Investigación Biomédica en Red de Salud Mental, Barcelona, Spain.,Department of Clinical and Psychology, School of Psychology, Autonomous University of Barcelona, Cerdanyola del Vallès, Spain
| | - Trinidad Pelaez
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain
| | - Olga González
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain
| | - Judith Usall
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain
| | - Raquel Iniesta
- Fundació Sant Joan de Déu de Barcelona, Centro de Investigación Biomédica en Red de Salud Mental, Barcelona, Spain
| | - Maria Arteaga
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain
| | - Chris Jackson
- Birmingham Early Intervention Service, Birmingham and Solihull Mental Health Foundation Trust, Birmingham, UK
| | - Iris Baños
- Fundació Sant Joan de Déu de Barcelona, Centro de Investigación Biomédica en Red de Salud Mental, Barcelona, Spain
| | - Bernardo Sánchez
- Hospital Sant Joan de Déu de Barcelona, Centro de Investigación Biomédica en Red de Salud Mental, Esplugues de Llobregat, Barcelona, Spain
| | - Montserrat Dolz
- Hospital Sant Joan de Déu de Barcelona, Centro de Investigación Biomédica en Red de Salud Mental, Esplugues de Llobregat, Barcelona, Spain
| | - Jordi E Obiols
- Department of Clinical and Psychology, School of Psychology, Autonomous University of Barcelona, Cerdanyola del Vallès, Spain
| | - Josep M Haro
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain
| | | | - Susana Ochoa
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
148
|
Abstract
The status of borderline personality disorder (BPD) as a diagnostic category is a matter of continuing controversy. In the United States, BPD is one of the most frequent diagnoses of psychiatric inpatients, and a similar tendency emerges in Europe. Nearly all theoretical aspects of BPD have been questioned, including its very position as a personality disorder. In this article, we trace the evolution of the borderline concept from the beginning of the 20th century to the current psychometric research. We argue that the status of BPD is fraught with conceptual difficulties, including an unrecognized semantic drift of major phenomenological terms (e.g., identity), a lack of general principles for the distinction of BPD and the major psychiatric syndromes (e.g., schizophrenia spectrum disorders), and insufficient definitions of key nosological concepts. These difficulties illustrate general problems in today's psychiatry that require consideration.
Collapse
Affiliation(s)
- Maja Zandersen
- Mental Health Centre Glostrup, Institute of Clinical Medicine, University Hospital of Copenhagen, Denmark
| | - Mads Gram Henriksen
- Mental Health Centre Glostrup, Institute of Clinical Medicine, University Hospital of Copenhagen, Denmark.,Center for Subjectivity Research, University of Copenhagen, Denmark
| | - Josef Parnas
- Mental Health Centre Glostrup, Institute of Clinical Medicine, University Hospital of Copenhagen, Denmark.,Center for Subjectivity Research, University of Copenhagen, Denmark
| |
Collapse
|
149
|
Kırlı U, Binbay T, Drukker M, Elbi H, Kayahan B, Keskin Gökçelli D, Özkınay F, Onay H, Alptekin K, van Os J. DSM outcomes of psychotic experiences and associated risk factors: 6-year follow-up study in a community-based sample. Psychol Med 2019; 49:1346-1356. [PMID: 30101737 DOI: 10.1017/s0033291718001964] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
BACKGROUND Psychotic experiences (PEs) may predict a range of common, non-psychotic disorders as well as psychotic disorders. In this representative, general population-based cohort study, both psychotic and non-psychotic disorder outcomes of PE were analysed, as were potential moderators. METHODS Addresses were contacted in a multistage clustered probability sampling frame covering 11 districts and 302 neighbourhoods at baseline (n = 4011). Participants were interviewed with the Composite International Diagnostic Interview (CIDI) both at baseline and at 6-year follow-up. Participants with PE at baseline were clinically re-interviewed with the SCID-I at follow-up. The role of socio-demographics, characteristics of PE, co-occurrence of mood disorders and family history of mental disorders were tested in the association between baseline PE and follow-up diagnosis. RESULTS In the participants with baseline PE, the psychotic disorder diagnosis rate at follow up was 7.0% - much lower than the rates of DSM-IV mood disorders without psychotic features (42.8%) and other non-psychotic disorders (24.1%). Within the group with baseline PE, female sex, lower socio-economic status, co-occurrence of mood disorders, family history of a mental disorder and persistence of PE predicted any follow-up DSM diagnosis. Furthermore, onset of psychotic v. non-psychotic disorder was predicted by younger age (15-30 years), co-presence of delusional and hallucinatory PE and family history of severe mental illness. CONCLUSION The outcome of PE appears to be a consequence of baseline severity of multidimensional psychopathology and familial risk. It may be useful to consider PE as a risk indicator that has trans-diagnostic value.
Collapse
Affiliation(s)
- Umut Kırlı
- Education and Research Hospital,Van,Turkey
| | - Tolga Binbay
- Faculty of Medicine,Department of Psychiatry,Dokuz Eylül University,35340, Izmir,Turkey
| | - Marjan Drukker
- Department of Psychiatry and Psychology,Maastricht University Medical Centre, School of Mental Health and Neuroscience, South Limburg Mental Health Research and Teaching Network,PO Box 616, Vijverdal 6200 MD, Maastricht,The Netherlands
| | - Hayriye Elbi
- Faculty of Medicine, Department of Psychiatry,Ege University,35140, Izmir,Turkey
| | - Bülent Kayahan
- Faculty of Medicine, Department of Psychiatry,Ege University,35140, Izmir,Turkey
| | | | - Ferda Özkınay
- Faculty of Medicine,Department of Medical Genetics,Ege University,35140, Izmir,Turkey
| | - Hüseyin Onay
- Faculty of Medicine,Department of Medical Genetics,Ege University,35140, Izmir,Turkey
| | - Köksal Alptekin
- Faculty of Medicine,Department of Psychiatry,Dokuz Eylül University,35340, Izmir,Turkey
| | - Jim van Os
- Department of Psychiatry and Psychology,Maastricht University Medical Centre, School of Mental Health and Neuroscience, South Limburg Mental Health Research and Teaching Network,PO Box 616, Vijverdal 6200 MD, Maastricht,The Netherlands
| |
Collapse
|
150
|
Yang LH, Woodberry KA, Link BG, Corcoran CM, Bryant C, Shapiro DI, Downing D, Girgis RR, Brucato G, Huang D, Crump FM, Verdi M, McFarlane WR, Seidman LJ. Impact of "psychosis risk" identification: Examining predictors of how youth view themselves. Schizophr Res 2019; 208:300-307. [PMID: 30792136 PMCID: PMC7079577 DOI: 10.1016/j.schres.2019.01.037] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2018] [Revised: 01/07/2019] [Accepted: 01/26/2019] [Indexed: 10/27/2022]
Abstract
BACKGROUND Identifying young people as at clinical high-risk (CHR) for psychosis affords opportunities for intervention to possibly prevent psychosis onset. Yet such CHR identification could plausibly increase stigma. We do not know whether these youth already perceive themselves to be at psychosis-risk (PR) or how their being told they are at PR might impact how they think about themselves. METHODS 148 CHR youth were asked about labels they had been given by others (labeling by others) or with which they personally identified (self-labeling). They were then asked which had the greatest impact on how they thought about themselves. We evaluated whether being told vs. thinking they were at PR had stronger effects. FINDINGS The majority identified nonpsychotic disorders rather than PR labels as having the greatest impact on sense of self (67.6% vs. 27.7%). However, participants who identified themselves as at PR had an 8.8 (95% CI = 2.0-39.1) increase in the odds of the PR label having the greatest impact (p < 0.01). Additionally, having been told by others that they were at PR was associated with a 4.0 increase in odds (95% CI = 1.1-15.0) that the PR label had the most impact (p < 0.05). INTERPRETATION Nonpsychotic disorder labels appear to have a greater impact on CHR youth than psychosis-risk labels. However, thinking they are at PR, and, secondarily, being told they are at PR, appears to increase the relative impact of the PR label. Understanding self- and other-labeling may be important to how young people think of themselves, and may inform early intervention strategies.
Collapse
Affiliation(s)
- Lawrence H. Yang
- New York University College of Global Public Health, 715 Broadway, New York, NY 10003.,Mailman School of Public Health, Columbia University. 722 W 168th St, New York, NY 10032
| | - Kristen A. Woodberry
- Maine Medical Center Research Institute, Portland Maine 04102,Commonwealth Research Center (CRC), Beth Israel Deaconess Medical Center (BIDMC), Boston, MA 02115, USA,Beth Israel Deaconess Medical Center (BIDMC), Boston, MA 02115, USA,Harvard Medical School, Department of Psychiatry, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Bruce G. Link
- University of California at Riverside, 900 University Ave, Riverside, CA 92521
| | - Cheryl M. Corcoran
- Icahn School of Medicine at Mount Sinai, Department of Psychiatry, 1 Gustave L. Levy Pl., New York, NY 10029,Mental Illness Research, Education, and Clinical Center (MIRECC VISN 2), James J. Peter Veterans Affairs Medical Center, 130 West Kingsbridge Rd, Bronx, NY, 10468, USA
| | - Caitlin Bryant
- Commonwealth Research Center (CRC), Beth Israel Deaconess Medical Center (BIDMC), Boston, MA 02115, USA,University of Massachusetts, Boston, 100 Morrissey Boulevard, Boston, MA 02125
| | - Daniel I. Shapiro
- Commonwealth Research Center (CRC), Beth Israel Deaconess Medical Center (BIDMC), Boston, MA 02115, USA,Beth Israel Deaconess Medical Center (BIDMC), Boston, MA 02115, USA,Harvard Medical School, Department of Psychiatry, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Donna Downing
- Maine Medical Center Research Institute, Portland Maine 04102
| | - Ragy R. Girgis
- New York State Psychiatric Institute, Columbia University Department of Psychiatry, 1051 Riverside Dr. New York, NY 10032,The Center of Prevention and Evaluation (COPE), New York State Psychiatric Institute, Columbia University Medical Center, 1051 Riverside Dr., New York, NY 10032
| | - Gary Brucato
- New York State Psychiatric Institute, Columbia University Department of Psychiatry, 1051 Riverside Dr. New York, NY 10032,The Center of Prevention and Evaluation (COPE), New York State Psychiatric Institute, Columbia University Medical Center, 1051 Riverside Dr., New York, NY 10032
| | - Debbie Huang
- Mailman School of Public Health, Columbia University. 722 W 168th St, New York, NY 10032
| | - Francesca M. Crump
- The Center of Prevention and Evaluation (COPE), New York State Psychiatric Institute, Columbia University Medical Center, 1051 Riverside Dr., New York, NY 10032
| | - Mary Verdi
- Maine Medical Center Research Institute, Portland Maine 04102
| | - William R. McFarlane
- Maine Medical Center Research Institute, Portland Maine 04102,Department of Psychiatry, School of Medicine, Tufts University, 0 Park Plaza #1101, Boston, MA 02116
| | - Larry J. Seidman
- Commonwealth Research Center (CRC), Beth Israel Deaconess Medical Center (BIDMC), Boston, MA 02115, USA,Beth Israel Deaconess Medical Center (BIDMC), Boston, MA 02115, USA,Harvard Medical School, Department of Psychiatry, Massachusetts General Hospital, Boston, MA 02114, USA
| |
Collapse
|