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Dines M, Kes M, Ailán D, Cetkovich-Bakmas M, Born C, Grunze H. Bipolar disorders and schizophrenia: discrete disorders? Front Psychiatry 2024; 15:1352250. [PMID: 38745778 PMCID: PMC11091416 DOI: 10.3389/fpsyt.2024.1352250] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Accepted: 04/16/2024] [Indexed: 05/16/2024] Open
Abstract
Background With similarities in heritability, neurobiology and symptomatology, the question has been raised whether schizophrenia and bipolar disorder are truly distinctive disorders or belong to a continuum. This narrative review summarizes common and distinctive findings from genetics, neuroimaging, cognition and clinical course that may help to solve this ethiopathogenetic puzzle. Methods The authors conducted a literature search for papers listed in PubMed and Google Scholar, using the search terms "schizophrenia" and "bipolar disorder" combined with different terms such as "genes", "neuroimaging studies", "phenomenology differences", "cognition", "epidemiology". Articles were considered for inclusion if they were written in English or Spanish, published as full articles, if they compared subjects with schizophrenia and bipolar disorder, or subjects with either disorder with healthy controls, addressing differences between groups. Results Several findings support the hypothesis that schizophrenia and bipolar disorder are discrete disorders, yet some overlapping of findings exists. The evidence for heritability of both SZ and BD is obvious, as well as the environmental impact on individual manifestations of both disorders. Neuroimaging studies support subtle differences between disorders, it appears to be rather a pattern of irregularities than an unequivocally unique finding distinguishing schizophrenia from bipolar disorder. The cognitive profile displays differences between disorders in certain domains, such as premorbid intellectual functioning and executive functions. Finally, the timing and trajectory of cognitive impairment in both disorders also differs. Conclusion The question whether SZ and BD belong to a continuum or are separate disorders remains a challenge for further research. Currently, our research tools may be not precise enough to carve out distinctive, unique and undisputable differences between SZ and BD, but current evidence favors separate disorders. Given that differences are subtle, a way to overcome diagnostic uncertainties in the future could be the application of artificial intelligence based on BigData. Limitations Despite the detailed search, this article is not a full and complete review of all available studies on the topic. The search and selection of papers was also limited to articles in English and Spanish. Selection of papers and conclusions may be biased by the personal view and clinical experience of the authors.
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Affiliation(s)
- Micaela Dines
- Department of Psychiatry, Instituto de Neurología Cognitiva (INECO), Buenos Aires, Argentina
- Department of Psychiatry, Instituto de Neurociencia Cognitiva y Traslacional (Consejo Nacional de Investigaciones Científicas y Técnicas - Fundación INECO - Universidad Favaloro), Buenos Aires, Argentina
| | - Mariana Kes
- Department of Psychiatry, Instituto de Neurología Cognitiva (INECO), Buenos Aires, Argentina
- Department of Psychiatry, Instituto de Neurociencia Cognitiva y Traslacional (Consejo Nacional de Investigaciones Científicas y Técnicas - Fundación INECO - Universidad Favaloro), Buenos Aires, Argentina
| | - Delfina Ailán
- Department of Psychiatry, Instituto de Neurología Cognitiva (INECO), Buenos Aires, Argentina
- Department of Psychiatry, Instituto de Neurociencia Cognitiva y Traslacional (Consejo Nacional de Investigaciones Científicas y Técnicas - Fundación INECO - Universidad Favaloro), Buenos Aires, Argentina
| | - Marcelo Cetkovich-Bakmas
- Department of Psychiatry, Instituto de Neurología Cognitiva (INECO), Buenos Aires, Argentina
- Department of Psychiatry, Instituto de Neurociencia Cognitiva y Traslacional (Consejo Nacional de Investigaciones Científicas y Técnicas - Fundación INECO - Universidad Favaloro), Buenos Aires, Argentina
| | - Christoph Born
- Department of Psychiatry, Psychiatrie Schwäbisch Hall, Ringstraße, Germany
- Department of Psychiatry, Paracelsus Medical University, Nuremberg, Germany
| | - Heinz Grunze
- Department of Psychiatry, Psychiatrie Schwäbisch Hall, Ringstraße, Germany
- Department of Psychiatry, Paracelsus Medical University, Nuremberg, Germany
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Hartmann S, Cearns M, Pantelis C, Dwyer D, Cavve B, Byrne E, Scott I, Yuen HP, Gao C, Allott K, Lin A, Wood SJ, Wigman JTW, Amminger GP, McGorry PD, Yung AR, Nelson B, Clark SR. Combining Clinical With Cognitive or Magnetic Resonance Imaging Data for Predicting Transition to Psychosis in Ultra High-Risk Patients: Data From the PACE 400 Cohort. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2024; 9:417-428. [PMID: 38052267 DOI: 10.1016/j.bpsc.2023.11.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 10/19/2023] [Accepted: 11/26/2023] [Indexed: 12/07/2023]
Abstract
BACKGROUND Multimodal modeling that combines biological and clinical data shows promise in predicting transition to psychosis in individuals who are at ultra-high risk. Individuals who transition to psychosis are known to have deficits at baseline in cognitive function and reductions in gray matter volume in multiple brain regions identified by magnetic resonance imaging. METHODS In this study, we used Cox proportional hazards regression models to assess the additive predictive value of each modality-cognition, cortical structure information, and the neuroanatomical measure of brain age gap-to a previously developed clinical model using functioning and duration of symptoms prior to service entry as predictors in the Personal Assessment and Crisis Evaluation (PACE) 400 cohort. The PACE 400 study is a well-characterized cohort of Australian youths who were identified as ultra-high risk of transitioning to psychosis using the Comprehensive Assessment of At Risk Mental States (CAARMS) and followed for up to 18 years; it contains clinical data (from N = 416 participants), cognitive data (n = 213), and magnetic resonance imaging cortical parameters extracted using FreeSurfer (n = 231). RESULTS The results showed that neuroimaging, brain age gap, and cognition added marginal predictive information to the previously developed clinical model (fraction of new information: neuroimaging 0%-12%, brain age gap 7%, cognition 0%-16%). CONCLUSIONS In summary, adding a second modality to a clinical risk model predicting the onset of a psychotic disorder in the PACE 400 cohort showed little improvement in the fit of the model for long-term prediction of transition to psychosis.
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Affiliation(s)
- Simon Hartmann
- Discipline of Psychiatry, Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia; Orygen, Parkville, Victoria, Australia; Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia.
| | - Micah Cearns
- Discipline of Psychiatry, Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia
| | - Christos Pantelis
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne, Carlton South, Melbourne, Victoria, Australia; Western Centre for Health Research & Education, Western Hospital Sunshine, The University of Melbourne, St. Albans, Victoria, Australia
| | - Dominic Dwyer
- Orygen, Parkville, Victoria, Australia; Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Blake Cavve
- Telethon Kids Institute, The University of Western Australia, Perth, Western Australia, Australia
| | - Enda Byrne
- Child Health Research Center, The University of Queensland, Brisbane, Queensland, Australia
| | - Isabelle Scott
- Orygen, Parkville, Victoria, Australia; Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Hok Pan Yuen
- Orygen, Parkville, Victoria, Australia; Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Caroline Gao
- Orygen, Parkville, Victoria, Australia; Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Kelly Allott
- Orygen, Parkville, Victoria, Australia; Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Ashleigh Lin
- Telethon Kids Institute, The University of Western Australia, Perth, Western Australia, Australia
| | - Stephen J Wood
- Orygen, Parkville, Victoria, Australia; Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia; School of Psychology, The University of Birmingham, Birmingham, England, United Kingdom
| | - Johanna T W Wigman
- Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - G Paul Amminger
- Orygen, Parkville, Victoria, Australia; Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Patrick D McGorry
- Orygen, Parkville, Victoria, Australia; Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Alison R Yung
- Institute for Mental and Physical Health and Clinical Translation, Deakin University, Melbourne, Victoria, Australia
| | - Barnaby Nelson
- Orygen, Parkville, Victoria, Australia; Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Scott R Clark
- Discipline of Psychiatry, Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia
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3
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Dong F, Mao Z, Ding Y, Wang L, Bo Q, Li F, Wang F, Wang C. Cognitive deficits profiles in the first-episode of schizophrenia, clinical high risk of psychosis, and genetically high-risk of psychosis. Front Psychiatry 2023; 14:1292141. [PMID: 38146278 PMCID: PMC10749319 DOI: 10.3389/fpsyt.2023.1292141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Accepted: 11/23/2023] [Indexed: 12/27/2023] Open
Abstract
Background Cognitive deficits are core characteristics of schizophrenia, presenting before the emergence of psychotic symptoms. Individuals with a clinical high-risk for psychosis (CHR) and those with genetically high-risk of psychosis (GHR) also exhibit cognitive impairments. Nonetheless, it remains uncertain in which domains of cognitive impairments in these two groups were more similar to those of schizophrenia patients. Moreover, it is unclear which domains of impairment are caused by quality factors and which are more related to the state of disease. This research initiative aimed to extensively examine the distinct cognitive impairment profiles among the CHR, GHR, and first-episode schizophrenia (FES) cohorts. Methods We compared the cognitive functions of the three groups and a healthy control group (HCs) using the MATRICS Consensus Cognitive Battery (MCCB). The participants for this study were recruited from the Beijing Anding Hospital of Capital Medical University. Our sample consisted of 56 patients with FES, 42 with CHR, 26 with GHR, and 62 HCs. The participants across all groups were matched in terms of gender, age, and level of education. Results Individuals with FES, GHR, and CHR showed significant impairment across the majority of MCCB domains, with the exception of visual learning, in comparison to HCs. None of the MCCB domains demonstrated a discerning ability to accurately differentiate between individuals with CHR and those with GHR. In the speed of processing and attention/vigilance domains, individuals with GHR and CHR exhibited scores between those of FES and HCs, with all group differences reaching statistical significance. This pattern of results indicates an intermediate level of cognitive function in individuals with GHR and CHR. Conversely, the levels of impairment observed in working memory and verbal learning were relatively consistent across all three groups: FES, CHR, and GHR. Notably, individuals in the CHR group exhibited performance akin to that of the HCs in the reasoning/problem-solving domain, while showing significant differences from the FES group, with the CHR individuals demonstrating better performance. Additionally, individuals with GHR displayed performance in social cognition similar to that of the HCs, while also demonstrating significant distinctions from the FES group, with the GHR individuals demonstrating better performance. Conclusion Significant cognitive deficits exist in individuals with CHR, GHR, and FES, and these deficits vary across domains. Processing speed and attention/vigilance could potentially serve as robust biomarkers for identifying individuals at a risk of psychosis. The impairment observed in reasoning/problem-solving abilities might signify a qualitative trait, whereas deficits in social recognition could indicate a state characteristic specific to schizophrenia.
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Affiliation(s)
- Fang Dong
- The National Clinical Research Center for Mental Disorders and Beijing Key Laboratory of Mental Disorders and Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Zhen Mao
- The National Clinical Research Center for Mental Disorders and Beijing Key Laboratory of Mental Disorders and Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Yushen Ding
- The National Clinical Research Center for Mental Disorders and Beijing Key Laboratory of Mental Disorders and Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Lu Wang
- The National Clinical Research Center for Mental Disorders and Beijing Key Laboratory of Mental Disorders and Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Qijing Bo
- The National Clinical Research Center for Mental Disorders and Beijing Key Laboratory of Mental Disorders and Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Feng Li
- The National Clinical Research Center for Mental Disorders and Beijing Key Laboratory of Mental Disorders and Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Feifei Wang
- The National Clinical Research Center for Mental Disorders and Beijing Key Laboratory of Mental Disorders and Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Chuanyue Wang
- The National Clinical Research Center for Mental Disorders and Beijing Key Laboratory of Mental Disorders and Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
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Rinaldi G, Osman N, Kaess M, Schimmelmann BG, Kindler J, Schultze-Lutter F, Michel C. Exploring the complex relationships between coping strategies, locus of control and self-esteem with psychopathology: structural equation modeling with a special focus on clinical high-risk of psychosis. Eur Psychiatry 2023; 66:e88. [PMID: 37848406 PMCID: PMC10755569 DOI: 10.1192/j.eurpsy.2023.2457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 09/22/2023] [Accepted: 09/26/2023] [Indexed: 10/19/2023] Open
Abstract
BACKGROUND Coping strategies, competence, and locus of control (LOC) beliefs are important predictors of mental health (MH). However, research into their complex interactions has produced mixed results. Our study investigated them further in the previously unexplored context of clinical high-risk (CHR) of psychosis. METHODS We tested six alternative structural equation models in a community sample (N = 523), hypothesizing a mediating role of coping and treating CHR symptoms as (i) an additional mediator or (ii) a specific outcome. Our measurement model included two latent factors of MH: (1) psychopathology (PP), consisting of presence of mental disorders, global and psychosocial functioning, and (2) self-rated health (SRH) status. RESULTS In the model with the best Akaike Information Criterion and the latent factors as outcome variables, maladaptive coping completely mediated the impact of maladaptive LOC on PP and SRH. Additionally, CHR symptoms partially mediated the effect of maladaptive coping on PP and SRH in the community sample, as long as sex was not entered into the model. In the clinical sample (N = 371), the model did not support a mediation by CHR symptoms, despite significant pathways with both coping and MH outcomes; further, competence beliefs directly impacted SRH. CONCLUSIONS Coping strategies are an important intervention target for MH promotion, especially in the community. In clinical populations, interventions focusing on coping strategies may improve CHR symptoms, thus potentially supporting better MH, especially SRH. Additionally, due to their mostly cascading effects on MH, improving competence and LOC beliefs may also promote psychological well-being.
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Affiliation(s)
- Giulia Rinaldi
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Naweed Osman
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine-University, Düsseldorf, Germany
| | - Michael Kaess
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
- Department of Child and Adolescent Psychiatry, Centre for Psychosocial Medicine, University Hospital Heidelberg, Heidelberg, Germany
| | - Benno G. Schimmelmann
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
- University Hospital of Child and Adolescent Psychiatry, University Hospital Hamburg-Eppendorf, Hamburg, Germany
| | - Jochen Kindler
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Frauke Schultze-Lutter
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine-University, Düsseldorf, Germany
- Department of Psychology, Faculty of Psychology, Airlangga University, Surabaya, Indonesia
| | - Chantal Michel
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
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Lindgren M, Kuvaja H, Jokela M, Therman S. Predictive validity of psychosis risk models when applied to adolescent psychiatric patients. Psychol Med 2023; 53:547-558. [PMID: 34024309 DOI: 10.1017/s0033291721001938] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
BACKGROUND Several multivariate algorithms have been developed for predicting psychosis, as attempts to obtain better prognosis prediction than with current clinical high-risk (CHR) criteria. The models have typically been based on samples from specialized clinics. We evaluated the generalizability of 19 prediction models to clinical practice in an unselected adolescent psychiatric sample. METHODS In total, 153 adolescent psychiatric patients in the Helsinki Prodromal Study underwent an extensive baseline assessment including the SIPS interview and a neurocognitive battery, with 50 participants (33%) fulfilling CHR criteria. The adolescents were followed up for 7 years using comprehensive national registers. Assessed outcomes were (1) any psychotic disorder diagnosis (n = 18, 12%) and (2) first psychiatric hospitalization (n = 25, 16%) as an index of overall deterioration of functioning. RESULTS Most models improved the overall prediction accuracy over standard CHR criteria (area under the curve estimates ranging between 0.51 and 0.82), although the accuracy was worse than that in the samples used to develop the models, also when applied only to the CHR subsample. The best models for transition to psychosis included the severity of positive symptoms, especially delusions, and negative symptoms. Exploratory models revealed baseline negative symptoms, low functioning, delusions, and sleep problems in combination to be the best predictor of psychiatric hospitalization in the upcoming years. CONCLUSIONS Including the severity levels of both positive and negative symptomatology proved beneficial in predicting psychosis. Despite these advances, the applicability of extended psychosis-risk models to general psychiatric practice appears limited.
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Affiliation(s)
- Maija Lindgren
- Mental Health, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Heidi Kuvaja
- Department of Psychology and Logopedics, Faculty of Medicine, Helsinki University, Helsinki, Finland
| | - Markus Jokela
- Department of Psychology and Logopedics, Faculty of Medicine, Helsinki University, Helsinki, Finland
| | - Sebastian Therman
- Mental Health, Finnish Institute for Health and Welfare, Helsinki, Finland
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6
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Squarcina L, Kambeitz-Ilankovic L, Bonivento C, Prunas C, Oldani L, Wenzel J, Ruef A, Dwyer D, Ferro A, Borgwardt S, Kambeitz J, Lichtenstein TK, Meisenzahl E, Pantelis C, Rosen M, Upthegrove R, Antonucci LA, Bertolino A, Lencer R, Ruhrmann S, Salokangas RRK, Schultze-Lutter F, Chisholm K, Stainton A, Wood SJ, Koutsouleris N, Brambilla P. Relationships between global functioning and neuropsychological predictors in subjects at high risk of psychosis or with a recent onset of depression. World J Biol Psychiatry 2022; 23:573-581. [PMID: 35048791 DOI: 10.1080/15622975.2021.2014955] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
OBJECTIVE Psychotic disorders are frequently associated with decline in functioning and cognitive difficulties are observed in subjects at clinical high risk (CHR) for psychosis. In this work, we applied automatic approaches to neurocognitive and functioning measures, with the aim of investigating the link between global, social and occupational functioning, and cognition. METHODS 102 CHR subjects and 110 patients with recent onset depression (ROD) were recruited. Global assessment of functioning (GAF) related to symptoms (GAF-S) and disability (GAF-D). and global functioning social (GF-S) and role (GF-R), at baseline and of the previous month and year, and a set of neurocognitive measures, were used for classification and regression. RESULTS Neurocognitive measures related to GF-R at baseline (r = 0.20, p = 0.004), GF-S at present (r = 0.14, p = 0.042) and of the past year (r = 0.19, p = 0.005), for GAF-F of the past month (r = 0.24, p < 0.001) and GAF-D of the past year (r = 0.28, p = 0.002). Classification reached values of balanced accuracy of 61% for GF-R and GAF-D. CONCLUSION We found that neurocognition was related to psychosocial functioning. More specifically, a deficit in executive functions was associated to poor social and occupational functioning.
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Affiliation(s)
- Letizia Squarcina
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Lana Kambeitz-Ilankovic
- Department of Psychiatry and Psychotherapy, Ludwig Maximilian University, Munich, Germany.,Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital, University of Cologne, Cologne, Germany
| | | | - Cecilia Prunas
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Lucio Oldani
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Julian Wenzel
- Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital, University of Cologne, Cologne, Germany
| | - Anne Ruef
- Department of Psychiatry and Psychotherapy, Ludwig Maximilian University, Munich, Germany
| | - Dominic Dwyer
- Department of Psychiatry and Psychotherapy, Ludwig Maximilian University, Munich, Germany
| | - Adele Ferro
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Stefan Borgwardt
- Department of Psychiatry, (Psychiatric University Hospital, UPK), University of Basel, Basel, Switzerland.,Department of Psychiatry and Psychotherapy, University of Lubeck, Lubeck, Germany
| | - Joseph Kambeitz
- Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital, University of Cologne, Cologne, Germany
| | - Theresa Katharina Lichtenstein
- Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital, University of Cologne, Cologne, Germany
| | - Eva Meisenzahl
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine University, Dusseldorf, Germany
| | - Christos Pantelis
- Melbourne Neuropsychiatry Centre, University of Melbourne and Melbourne Health, Melbourne, Australia
| | - Marlene Rosen
- Department of Psychiatry and Psychotherapy, Ludwig Maximilian University, Munich, Germany
| | - Rachel Upthegrove
- Institute for Mental Health and Centre for Human Brain Health, University of Birmingham, Birmingham, UK
| | - Linda A Antonucci
- Department of Education, Psychology and Communication, University of Bari "Aldo Moro" - Bari, Italy
| | - Alessandro Bertolino
- Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari "Aldo Moro", Bari, Italy
| | - Rebekka Lencer
- Department of Psychiatry and Psychotherapy, University of Lubeck, Lubeck, Germany.,Institute for Translational Psychiatry, Westfalische-Wilhelms-University Munster, Munster, Germany
| | - Stephan Ruhrmann
- Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital, University of Cologne, Cologne, Germany
| | | | - Frauke Schultze-Lutter
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine University, Dusseldorf, Germany.,Department of Psychology, Faculty of Psychology, Airlangga University, Surabaya, Indonesia
| | - Katharine Chisholm
- Institute for Mental Health and Centre for Human Brain Health, University of Birmingham, Birmingham, UK
| | - Alexandra Stainton
- Centre for Youth Mental Health, University of Melbourne, Parkville, Australia
| | - Stephen J Wood
- Centre for Youth Mental Health, University of Melbourne, Parkville, Australia.,Orygen, Melbourne, Australia.,Institute for Mental Health, University of Birmingham, Birmingham, UK
| | - Nikolaos Koutsouleris
- Department of Psychiatry and Psychotherapy, Ludwig Maximilian University, Munich, Germany
| | - Paolo Brambilla
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy.,Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
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7
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Karcher NR, Merchant J, Pine J, Kilciksiz CM. Cognitive Dysfunction as a Risk Factor for Psychosis. Curr Top Behav Neurosci 2022; 63:173-203. [PMID: 35989398 DOI: 10.1007/7854_2022_387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
The current chapter summarizes recent evidence for cognition as a risk factor for the development of psychosis, including the range of cognitive impairments that exist across the spectrum of psychosis risk symptoms. The chapter examines several possible theories linking cognitive deficits with the development of psychotic symptoms, including evidence that cognitive deficits may be an intermediate risk factor linking genetic and/or neural metrics to psychosis spectrum symptoms. Although there is not strong evidence for unique cognitive markers associated specifically with psychosis compared to other forms of psychopathology, psychotic disorders are generally associated with the greatest severity of cognitive deficits. Cognitive deficits precede the development of psychotic symptoms and may be detectable as early as childhood. Across the psychosis spectrum, both the presence and severity of psychotic symptoms are associated with mild to moderate impairments across cognitive domains, perhaps most consistently for language, cognitive control, and working memory domains. Research generally indicates the size of these cognitive impairments worsens as psychosis symptom severity increases. The chapter points out areas of unclarity and unanswered questions in each of these areas, including regarding the mechanisms contributing to the association between cognition and psychosis, the timing of deficits, and whether any cognitive systems can be identified that function as specific predictors of psychosis risk symptoms.
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Affiliation(s)
- Nicole R Karcher
- Department of Psychiatry, School of Medicine, Washington University in St. Louis, St. Louis, MO, USA.
| | - Jaisal Merchant
- Department of Brain and Psychological Sciences, Washington University in St. Louis, St. Louis, MO, USA
| | - Jacob Pine
- Department of Brain and Psychological Sciences, Washington University in St. Louis, St. Louis, MO, USA
| | - Can Misel Kilciksiz
- Department of Psychiatry, School of Medicine, Washington University in St. Louis, St. Louis, MO, USA
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8
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Mohn-Haugen CR, Mohn C, Larøi F, Teigset CM, Øie MG, Rund BR. A systematic review of premorbid cognitive functioning and its timing of onset in schizophrenia spectrum disorders. Schizophr Res Cogn 2022; 28:100246. [PMID: 35251943 PMCID: PMC8892142 DOI: 10.1016/j.scog.2022.100246] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Revised: 02/18/2022] [Accepted: 02/20/2022] [Indexed: 11/24/2022]
Abstract
Cognitive impairments are core features of established schizophrenia spectrum disorders (SSD). However, it remains unclear whether specific cognitive functions are differentially impaired pre-onset and at what age these impairments can be detected. The purpose of this review was to elucidate these issues through a systematic summary of results from longitudinal studies investigating impairment in specific cognitive domains as antecedents of SSD. Relevant studies were identified by electronic and manual literature searches and included any original study of cognitive domains any time pre-onset of SSDs that included a control group. Effect sizes were calculated by domain for studies comparing high-risk participants who developed SSD with those who did not. The strongest evidence for impairment pre-onset was for mental processing speed, verbal learning and memory, executive function, and social cognition. Some verbal impairments, like language abilities at age 3 and verbal learning and memory at age 7, may develop as static deficits. Conversely, some non-verbal impairments, like mental processing speed, visuospatial abilities, and visual working memory manifest as developmental lag and become significant later in life. Most effect sizes were small to moderate, except for verbal fluency (d′ = 0,85), implying this impairment as central in high-risk participants who develop SSD. The present review documents extensive cognitive impairments pre-onset of SSD, and that these impairments start early in life, in line with the neurodevelopmental hypothesis of schizophrenia. Increased knowledge about cognitive impairments preonset can provide a better basis for understanding the complex pathogenesis of SSD as well as informing cognitive remediation programs. Specific cognitive domains evidence differential impairment pre-onset. Most effect sizes were small to moderate. Some verbal impairments develop as static deficits from early childhood. Some non-verbal impairments present as developmental lag and become apparent later. Impairments start early in life, in line with the neurodevelopmental hypothesis.
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Affiliation(s)
- Caroline Ranem Mohn-Haugen
- Research Department, Vestre Viken Hospital Trust, 3004 Drammen, Norway.,Department of Psychology, P. O. box 1094, Blindern, University of Oslo, 0317 Oslo, Norway
| | - Christine Mohn
- Norment Centre, Institute of Clinical Medicine, University of Oslo, P.O. box 4956, Nydalen, 0424 Oslo, Norway
| | - Frank Larøi
- Department of Psychology, P. O. box 1094, Blindern, University of Oslo, 0317 Oslo, Norway.,Psychology and Neuroscience of Cognition Research Unit, University of Liège, B-4000, Belgium
| | | | - Merete Glenne Øie
- Department of Psychology, P. O. box 1094, Blindern, University of Oslo, 0317 Oslo, Norway
| | - Bjørn Rishovd Rund
- Research Department, Vestre Viken Hospital Trust, 3004 Drammen, Norway.,Department of Psychology, P. O. box 1094, Blindern, University of Oslo, 0317 Oslo, Norway
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Clinical outcomes in individuals at clinical high risk of psychosis who do not transition to psychosis: a meta-analysis. Epidemiol Psychiatr Sci 2022; 31:e9. [PMID: 35042573 PMCID: PMC8786617 DOI: 10.1017/s2045796021000639] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
AIMS The clinical outcomes of individuals at clinical high risk of psychosis (CHR-P) who do not transition to psychosis are heterogeneous and inconsistently reported. We aimed to comprehensively evaluate longitudinally a wide range of outcomes in CHR-P individuals not developing psychosis. METHODS "Preferred Reporting Items for Systematic reviews and Meta-Analyses" and "Meta-analysis Of Observational Studies in Epidemiology"-compliant meta-analysis (PROSPERO: CRD42021229212) searching original CHR-P longitudinal studies in PubMed and Web of Science databases up to 01/11/2021. As primary analysis, we evaluated the following outcomes within CHR-P non-transitioning individuals: (a) change in the severity of attenuated psychotic symptoms (Hedge's g); (b) change in the severity of negative psychotic symptoms (Hedge's g); (c) change in the severity of depressive symptoms (Hedge's g); (d) change in the level of functioning (Hedge's g); (e) frequency of remission (at follow-up). As a secondary analysis, we compared these outcomes in those CHR-P individuals who did not transition vs. those who did transition to psychosis at follow-up. We conducted random-effects model meta-analyses, sensitivity analyses, heterogeneity analyses, meta-regressions and publication bias assessment. The risk of bias was assessed using a modified version of the Newcastle-Ottawa Scale (NOS). RESULTS Twenty-eight studies were included (2756 CHR-P individuals, mean age = 20.4, 45.5% females). The mean duration of follow-up of the included studies was of 30.7 months. Primary analysis: attenuated psychotic symptoms [Hedges' g = 1.410, 95% confidence interval (CI) 1.002-1.818]; negative psychotic symptoms (Hedges' g = 0.683, 95% CI 0.371-0.995); depressive symptoms (Hedges' g = 0.844, 95% CI 0.371-1.317); and functioning (Hedges' g = 0.776, 95% CI 0.463-1.089) improved in CHR-P non-transitioning individuals; 48.7% remitted at follow-up (95% CI 39.3-58.2%). Secondary analysis: attenuated psychotic symptoms (Hedges' g = 0.706, 95% CI 0.091-1.322) and functioning (Hedges' g = 0.623, 95% CI 0.375-0.871) improved in CHR-P individuals not-transitioning compared to those transitioning to psychosis, but there were no differences in negative or depressive symptoms or frequency of remission (p > 0.05). Older age was associated with higher improvements of attenuated psychotic symptoms (β = 0.225, p = 0.012); publication years were associated with a higher improvement of functioning (β = -0.124, p = 0.0026); a lower proportion of Brief Limited Intermittent Psychotic Symptoms was associated with higher frequencies of remission (β = -0.054, p = 0.0085). There was no metaregression impact for study continent, the psychometric instrument used, the quality of the study or proportion of females. The NOS scores were 4.4 ± 0.9, ranging from 3 to 6, revealing the moderate quality of the included studies. CONCLUSIONS Clinical outcomes improve in CHR-P individuals not transitioning to psychosis but only less than half remit over time. Sustained clinical attention should be provided in the longer term to monitor these outcomes.
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10
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Rosen M, Betz LT, Schultze-Lutter F, Chisholm K, Haidl TK, Kambeitz-Ilankovic L, Bertolino A, Borgwardt S, Brambilla P, Lencer R, Meisenzahl E, Ruhrmann S, Salokangas RKR, Upthegrove R, Wood SJ, Koutsouleris N, Kambeitz J. Towards clinical application of prediction models for transition to psychosis: A systematic review and external validation study in the PRONIA sample. Neurosci Biobehav Rev 2021; 125:478-492. [PMID: 33636198 DOI: 10.1016/j.neubiorev.2021.02.032] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Revised: 01/14/2021] [Accepted: 02/20/2021] [Indexed: 01/13/2023]
Abstract
A multitude of prediction models for a first psychotic episode in individuals at clinical high-risk (CHR) for psychosis have been proposed, but only rarely validated. We identified transition models based on clinical and neuropsychological data through a registered systematic literature search and evaluated their external validity in 173 CHRs from the Personalised Prognostic Tools for Early Psychosis Management (PRONIA) study. Discrimination performance was assessed with the area under the receiver operating characteristic curve (AUC), and compared to the prediction of clinical raters. External discrimination performance varied considerably across the 22 identified models (AUC 0.40-0.76), with two models showing good discrimination performance. None of the tested models significantly outperformed clinical raters (AUC = 0.75). Combining predictions of clinical raters and the best model descriptively improved discrimination performance (AUC = 0.84). Results show that personalized prediction of transition in CHR is potentially feasible on a global scale. For implementation in clinical practice, further rounds of external validation, impact studies, and development of an ethical framework is necessary.
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Affiliation(s)
- Marlene Rosen
- Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital of Cologne, Cologne, Germany
| | - Linda T Betz
- Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital of Cologne, Cologne, Germany
| | - Frauke Schultze-Lutter
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany; Department of Psychology and Mental Health, Faculty of Psychology, Airlangga University, Surabaya, Indonesia; University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Katharine Chisholm
- Institute for Mental Health and Centre for Human Brain Health, University of Birmingham, Birmingham, UK; Department of Psychology, Aston University, Birmingham, UK
| | - Theresa K Haidl
- Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital of Cologne, Cologne, Germany
| | - Lana Kambeitz-Ilankovic
- Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital of Cologne, Cologne, Germany; Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Munich, Germany
| | - Alessandro Bertolino
- Department of Neurological and Psychiatric Sciences, University of Bari, Bari, Italy
| | - Stefan Borgwardt
- Department of Psychiatry and Psychotherapy, University of Lübeck, Lübeck, Germany; Department of Psychiatry, Psychiatric University Hospital, University of Basel, Switzerland
| | - Paolo Brambilla
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy; Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Rebekka Lencer
- Department of Psychiatry and Psychotherapy, University of Lübeck, Lübeck, Germany; Department of Psychiatry, University of Münster, Münster, Germany
| | - Eva Meisenzahl
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany
| | - Stephan Ruhrmann
- Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital of Cologne, Cologne, Germany
| | | | - Rachel Upthegrove
- Institute for Mental Health and Centre for Human Brain Health, University of Birmingham, Birmingham, UK
| | - Stephen J Wood
- Institute for Mental Health and Centre for Human Brain Health, University of Birmingham, Birmingham, UK; Orygen, Melbourne, Australia; Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia
| | - Nikolaos Koutsouleris
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Munich, Germany; Max-Planck Institute of Psychiatry, Munich, Germany; Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Joseph Kambeitz
- Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital of Cologne, Cologne, Germany.
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11
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Perrottelli A, Giordano GM, Brando F, Giuliani L, Mucci A. EEG-Based Measures in At-Risk Mental State and Early Stages of Schizophrenia: A Systematic Review. Front Psychiatry 2021; 12:653642. [PMID: 34017273 PMCID: PMC8129021 DOI: 10.3389/fpsyt.2021.653642] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Accepted: 04/06/2021] [Indexed: 12/17/2022] Open
Abstract
Introduction: Electrophysiological (EEG) abnormalities in subjects with schizophrenia have been largely reported. In the last decades, research has shifted to the identification of electrophysiological alterations in the prodromal and early phases of the disorder, focusing on the prediction of clinical and functional outcome. The identification of neuronal aberrations in subjects with a first episode of psychosis (FEP) and in those at ultra high-risk (UHR) or clinical high-risk (CHR) to develop a psychosis is crucial to implement adequate interventions, reduce the rate of transition to psychosis, as well as the risk of irreversible functioning impairment. The aim of the review is to provide an up-to-date synthesis of the electrophysiological findings in the at-risk mental state and early stages of schizophrenia. Methods: A systematic review of English articles using Pubmed, Scopus, and PsychINFO was undertaken in July 2020. Additional studies were identified by hand-search. Electrophysiological studies that included at least one group of FEP or subjects at risk to develop psychosis, compared to healthy controls (HCs), were considered. The heterogeneity of the studies prevented a quantitative synthesis. Results: Out of 319 records screened, 133 studies were included in a final qualitative synthesis. Included studies were mainly carried out using frequency analysis, microstates and event-related potentials. The most common findings included an increase in delta and gamma power, an impairment in sensory gating assessed through P50 and N100 and a reduction of Mismatch Negativity and P300 amplitude in at-risk mental state and early stages of schizophrenia. Progressive changes in some of these electrophysiological measures were associated with transition to psychosis and disease course. Heterogeneous data have been reported for indices evaluating synchrony, connectivity, and evoked-responses in different frequency bands. Conclusions: Multiple EEG-indices were altered during at-risk mental state and early stages of schizophrenia, supporting the hypothesis that cerebral network dysfunctions appear already before the onset of the disorder. Some of these alterations demonstrated association with transition to psychosis or poor functional outcome. However, heterogeneity in subjects' inclusion criteria, clinical measures and electrophysiological methods prevents drawing solid conclusions. Large prospective studies are needed to consolidate findings concerning electrophysiological markers of clinical and functional outcome.
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Affiliation(s)
- Andrea Perrottelli
- Department of Psychiatry, University of Campania "Luigi Vanvitelli", Naples, Italy
| | | | - Francesco Brando
- Department of Psychiatry, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Luigi Giuliani
- Department of Psychiatry, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Armida Mucci
- Department of Psychiatry, University of Campania "Luigi Vanvitelli", Naples, Italy
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12
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Fusar-Poli P, De Micheli A, Signorini L, Baldwin H, Salazar de Pablo G, McGuire P. Real-world long-term outcomes in individuals at clinical risk for psychosis: The case for extending duration of care. EClinicalMedicine 2020; 28:100578. [PMID: 33294806 PMCID: PMC7700893 DOI: 10.1016/j.eclinm.2020.100578] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Revised: 09/14/2020] [Accepted: 09/15/2020] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Most services for individuals at Clinical High Risk for Psychosis (CHR-P) provide short-term clinical care. This study determines the real-world and long-term clinical outcomes beyond transition to psychosis in a large cohort of CHR-P individuals. METHOD Retrospective RECORD-compliant real-world Electronic Health Records (EHR) cohort study in secondary mental health care (the South London and the Maudsley -SLaM- NHS Foundation Trust). All CHR-P patients accessing the CHR-P service at SLaM in the period 2001-2018 were included. Main outcomes were long-term cumulative risk of first: (i) developing an ICD-10 psychotic disorder (primary outcome), receiving a treatment with (iia) antipsychotic medication, (iib) benzodiazepines, (iic) other psychotropic medications, (iid) psychotherapy, receiving an (iiia) informal or (iiib) compulsory admission into a mental health hospital, and the time to these events; (iiic) number of days spent in hospital and (iv) cumulative risk of death for any reason and age/gender Standardised Mortality Ratio (SMR). Data were extracted from the EHR and analysed with Kaplan Meier failure functions, Cox and zero-inflated negative binomial regressions. FINDINGS 600 CHR-P patients (80.43% Attenuated Psychotic Symptoms, APS; 18.06%, Brief and Limited Intermittent Psychotic Symptoms, BLIPS, 1.51% Genetic Risk and Deterioration Syndrome) were included (mean age 22.63 years, range 13-36; 55.33% males; 46.44% white, mean duration of untreated attenuated psychotic symptoms 676.32 days, 1105.40 SD). The cumulative risk to first psychosis was 0.365 (95%CI 0.302-0.437) at 11 years; first antipsychotic 0.777 (95%CI 0.702-0.844) at 9 years; first benzodiazepine 0.259 (95%CI 0.183-0.359) at 12 years; first other types of medications 0.630 (95%CI 0.538-0.772) at 9 years; first psychotherapy 0.814 (95%CI 0.764-0.859) at 9 years; first informal admission 0.378 (95%CI 0.249-0.546) at 12 years; first compulsory admission 0.251 (95%CI 0.175-0.352) at 12 years; those admitted spent on average 94.84 (SD=169.94) days in hospital; the cumulative risk of death for any reason was 0.036 (95%CI 0.012-0.103) at 9 years, with an SMR of 3.9 (95%CI 1.20-6.6). Compared to APS, BLIPS had a higher risk of developing psychosis, being admitted compulsorily into hospital, receiving antipsychotics and benzodiazepines and lower probability of receiving psychotherapy. Other prognostic factors of long-term outcomes included age, symptoms severity, duration of untreated attenuated psychotic symptoms, ethnicity and employment status. INTERPRETATION Duration of care provided by CHR-P services should be expanded to address long-term real-world outcomes. FUNDING This study was supported by the King's College London Confidence in Concept award from the Medical Research Council (MRC) (MC_PC_16048) to PF-P. GSP is supported by the Alicia Koplowitz Foundation. HB is supported by a National Institute for Health Research Maudsley Biomedical Research Centre studentship.
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Affiliation(s)
- Paolo Fusar-Poli
- Early Psychosis: Interventions and Clinical-detection
(EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology
and Neuroscience, King's College London, 5th Floor, PO63, 16 De Crespigny Park,
SE5 8AF London, UK
- OASIS service, South London and Maudsley NHS Foundation
Trust, London, UK
- Department of Brain and Behavioral Sciences, University
of Pavia, Pavia, Italy
- Maudsley Biomedical Research Centre, National Institute
for Health Research, South London and Maudsley NHS Foundation Trust, London,
UK
| | - Andrea De Micheli
- Early Psychosis: Interventions and Clinical-detection
(EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology
and Neuroscience, King's College London, 5th Floor, PO63, 16 De Crespigny Park,
SE5 8AF London, UK
- OASIS service, South London and Maudsley NHS Foundation
Trust, London, UK
| | - Lorenzo Signorini
- Early Psychosis: Interventions and Clinical-detection
(EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology
and Neuroscience, King's College London, 5th Floor, PO63, 16 De Crespigny Park,
SE5 8AF London, UK
| | - Helen Baldwin
- Early Psychosis: Interventions and Clinical-detection
(EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology
and Neuroscience, King's College London, 5th Floor, PO63, 16 De Crespigny Park,
SE5 8AF London, UK
- Maudsley Biomedical Research Centre, National Institute
for Health Research, South London and Maudsley NHS Foundation Trust, London,
UK
| | - Gonzalo Salazar de Pablo
- Early Psychosis: Interventions and Clinical-detection
(EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology
and Neuroscience, King's College London, 5th Floor, PO63, 16 De Crespigny Park,
SE5 8AF London, UK
- Institute of Psychiatry and Mental Health. Department
of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio
Marañón School of Medicine, Universidad Complutense, Instituto de Investigación
Sanitaria Gregorio Marañón (IiSGM), CIBERSAM, Madrid, Spain
| | - Philip McGuire
- OASIS service, South London and Maudsley NHS Foundation
Trust, London, UK
- Maudsley Biomedical Research Centre, National Institute
for Health Research, South London and Maudsley NHS Foundation Trust, London,
UK
- Department of Psychosis Studies, Institute of
Psychiatry, Psychology & Neuroscience, King's College London, London,
UK
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13
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Beck K, Andreou C, Studerus E, Heitz U, Ittig S, Leanza L, Riecher-Rössler A. Clinical and functional long-term outcome of patients at clinical high risk (CHR) for psychosis without transition to psychosis: A systematic review. Schizophr Res 2019; 210:39-47. [PMID: 30651204 DOI: 10.1016/j.schres.2018.12.047] [Citation(s) in RCA: 55] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2018] [Revised: 10/09/2018] [Accepted: 12/25/2018] [Indexed: 12/24/2022]
Abstract
BACKGROUND Research on patients at clinical high risk (CHR) for psychosis has so far mainly focused on those with transition to frank psychosis (CHR-T patients). However, the majority of CHR patients do not transition (CHR-NT patients) and relatively little information is available on their clinical and functional outcome. METHODS We conducted a systematic review on clinical and functional long-term outcome of CHR-NT patients. Studies were included if they had an average follow-up period of at least 24 months and reported on long-term outcome of CHR-NT patients in one or more of the following domains: (non-)remission from CHR, prevalence of clinical symptoms and/or clinical diagnoses (axis I and II), and psychosocial functioning. RESULTS Ten publications from seven different single or multicenter studies with average follow-up durations of 2-7.5 years could be included. At the last follow-up assessment 28-71% of CHR-NT patients were not remitted from their CHR and 22-82% still had at least one clinical diagnosis. Approximately half of CHR-NT patients presented with poor psychosocial outcome at 2-year and 6-year follow-up. CONCLUSIONS The results suggest that, in the long-term, the majority of CHR-NT patients are not in full clinical remission and seem to suffer from one or more clinical disorders and psychosocial impairments. Since relatively few studies could be identified, further research is required to better understand the trajectories and clinical needs of CHR-NT patients.
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Affiliation(s)
- Katharina Beck
- University of Basel Psychiatric Hospital, Center for Gender Research and Early Detection, Basel, Switzerland; University of Basel, Division of Clinical Psychology and Epidemiology, Department of Psychology, Basel, Switzerland
| | - Christina Andreou
- University of Basel Psychiatric Hospital, Center for Gender Research and Early Detection, Basel, Switzerland
| | - Erich Studerus
- University of Basel Psychiatric Hospital, Center for Gender Research and Early Detection, Basel, Switzerland
| | - Ulrike Heitz
- University of Basel Psychiatric Hospital, Center for Gender Research and Early Detection, Basel, Switzerland; University of Basel, Division of Clinical Psychology and Epidemiology, Department of Psychology, Basel, Switzerland
| | - Sarah Ittig
- University of Basel Psychiatric Hospital, Center for Gender Research and Early Detection, Basel, Switzerland
| | - Letizia Leanza
- University of Basel Psychiatric Hospital, Center for Gender Research and Early Detection, Basel, Switzerland; University of Basel, Division of Clinical Psychology and Epidemiology, Department of Psychology, Basel, Switzerland
| | - Anita Riecher-Rössler
- University of Basel Psychiatric Hospital, Center for Gender Research and Early Detection, Basel, Switzerland.
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14
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Chu AOK, Chang WC, Chan SKW, Lee EHM, Hui CLM, Chen EYH. Comparison of cognitive functions between first-episode schizophrenia patients, their unaffected siblings and individuals at clinical high-risk for psychosis. Psychol Med 2019; 49:1929-1936. [PMID: 30226125 DOI: 10.1017/s0033291718002726] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
BACKGROUND Cognitive impairment is a core feature of schizophrenia and has been observed in both familial (FHR) and clinical high-risk (CHR) samples. Nonetheless, there is a paucity of research directly contrasting cognitive profiles in these two high-risk states and first-episode schizophrenia. This study aimed to compare cognitive functions in patients with first-episode schizophrenia-spectrum disorder (FES), their unaffected siblings (FHR), CHR individuals and healthy controls. METHOD A standardized battery of cognitive assessments was administered to 69 FES patients, 71 help-seeking CHR individuals without family history of psychotic disorder, 50 FHR participants and 68 controls. FES and CHR participants were recruited from territory-wide early intervention service for psychosis in Hong Kong. CHR status was ascertained using Comprehensive Assessment of At-Risk Mental State. RESULTS Among four groups, FES patients displayed the largest global cognitive impairment and had medium-to-large deficits across all cognitive tests relative to controls. CHR and FHR participants significantly underperformed in most cognitive tests than controls. Among various cognitive tests, digit symbol coding demonstrated the greatest magnitude of impairment in FES and CHR groups compared with controls. No significant difference between two high-risk groups was observed in global cognition and all individual cognitive tests except digit symbol coding which showed greater deficits in CHR than in FHR participants. CONCLUSION Clinical and familial risk groups experienced largely comparable cognitive impairment that was intermediate between FES and controls. Digit symbol coding may have the greatest discriminant capacity in distinguishing FES and CHR from healthy controls, and between two high-risk samples.
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15
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Tickell AM, Lee RSC, Hickie IB, Hermens DF. The course of neuropsychological functioning in young people with attenuated vs discrete mental disorders. Early Interv Psychiatry 2019; 13:425-433. [PMID: 29116675 DOI: 10.1111/eip.12499] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2017] [Revised: 07/21/2017] [Accepted: 08/20/2017] [Indexed: 12/22/2022]
Abstract
AIM Clinical staging of mental disorders is designed to facilitate the selection of stage-appropriate interventions, early in the course of illness. Neuropsychological performance, particularly at early stages of mental disorder, is a strong predictor of medium-term functional outcomes. Despite this, the longitudinal examination of neuropsychological profiles in early stages of illness is poorly researched. Thus, we examined baseline and longitudinal neuropsychological profiles of young patients with attenuated syndromes vs those with discrete disorders. METHODS Neuropsychological testing of 497 help-seeking young people (21.2 ± 3 years; 56% female). Clinical staging, assigned separately from testing, rated 262 individuals as "attenuated syndrome" (stage 1b) and 235 as "discrete" or "persistent" disorder (stage 2+). Follow-up testing was undertaken in 170 individuals (54% at stage 1b) after 19.8 ± 9 months (range: 3 to 51 months). RESULTS At baseline, attenuated and discrete/persistent disorders significantly differed in 4 of the 9 neuropsychological measures (verbal learning, verbal memory, visual memory and set shifting). Despite this, both groups showed similar improvement in neuropsychological functioning at follow-up, particularly in processing speed, sustained attention and visual memory. Longitudinal improvement in cognition corresponded with increases in socio-occupational functioning. DISCUSSION The degree of baseline neuropsychological dysfunction discriminates those with attenuated syndromes from those with a discrete/persistent disorder. Furthermore, improvement in neuropsychological functioning corresponded with improvement in clinical and functional status, despite stage of illness. This suggests that neuropsychological functioning remains relatively stable in young people with a mental illness and may be a critical window for intervention.
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Affiliation(s)
- Ashleigh M Tickell
- Youth Mental Health Team, Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Rico S C Lee
- Youth Mental Health Team, Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Ian B Hickie
- Youth Mental Health Team, Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Daniel F Hermens
- Youth Mental Health Team, Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
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16
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Koike S, Barnett J, Jones PB, Richards M. Cognitive profiles in childhood and adolescence differ between adult psychotic and affective symptoms: a prospective birth cohort study. Psychol Med 2018; 48:11-22. [PMID: 28988550 PMCID: PMC5729848 DOI: 10.1017/s0033291717000393] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2016] [Revised: 01/25/2017] [Accepted: 01/26/2017] [Indexed: 11/06/2022]
Abstract
BACKGROUND Differences between verbal and non-verbal cognitive development from childhood to adulthood may differentiate between those with and without psychotic symptoms and affective symptoms in later life. However, there has been no study exploring this in a population-based cohort. METHOD The sample was drawn from the MRC National Survey of Health and Development, and consisted of 2384 study members with self-reported psychotic experiences and affective symptoms at the age of 53 years, and with complete cognitive data at the ages of 8 and 15 years. The association between verbal and non-verbal cognition at age 8 years and relative developmental lag from age 8 to 15 years, and both adult outcomes were tested with the covariates adjusted, and mutually adjusted for verbal and non-verbal cognition. RESULTS Those with psychotic experiences [thought interference (n = 433), strange experience (n = 296), hallucination (n = 88)] had lower cognition at both the ages of 8 and 15 years in both verbal and non-verbal domains. After mutual adjustment, lower verbal cognition at age 8 years and greater verbal developmental lag were associated with higher likelihood of psychotic experiences within individuals, whereas there was no association between non-verbal cognition and any psychotic experience. In contrast, those with case-level affective symptoms (n = 453) had lower non-verbal cognition at age 15 years, and greater developmental lag in the non-verbal domain. After adjustment, lower non-verbal cognition at age 8 years and greater non-verbal developmental lag were associated with higher risk of case-level affective symptoms within individuals. CONCLUSIONS These results suggest that cognitive profiles in childhood and adolescence differentiate psychiatric disease spectra.
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Affiliation(s)
- S. Koike
- MRC Unit for Lifelong Health and Ageing at
UCL, 33 Bedford Place, London WC1B 5JU,
UK
- University of Tokyo Institute for Diversity
& Adaptation of Human Mind (UTIDAHM), 3-8-1 Komaba,
Meguro-ku, Tokyo 153-8902, Japan
- Center for Evolutionary Cognitive
Sciences, Graduate School of Arts and Sciences, The University of
Tokyo, 3-8-1 Komaba, Meguro-ku, Tokyo 153-8902,
Japan
| | - J. Barnett
- Department of Psychiatry,
University of Cambridge, Cambridge CB2
0SZ, UK
- Cambridge Cognition Ltd,
Cambridge CB25 9TU, UK
| | - P. B. Jones
- Department of Psychiatry,
University of Cambridge, Cambridge CB2
0SZ, UK
- CAMEO, Cambridgeshire & Peterborough NHS
Foundation Trust, Cambridge CB21 5EF,
UK
| | - M. Richards
- MRC Unit for Lifelong Health and Ageing at
UCL, 33 Bedford Place, London WC1B 5JU,
UK
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17
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Formal Thought Disorder and Executive Functioning in Children and Adolescents with Autism Spectrum Disorder: Old Leads and New Avenues. J Autism Dev Disord 2017; 47:1756-1768. [PMID: 28342165 PMCID: PMC5432602 DOI: 10.1007/s10803-017-3104-6] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Formal thought disorder (FTD) is a disruption in the flow of thought and a common feature in psychotic disorders and autism spectrum disorder (ASD). Executive dysfunction has often been associated with FTD, yet for ASD convincing evidence is lacking. This study investigated FTD and three core executive functions in 50 young children and adolescents with high-functioning ASD and 56 matched controls. Higher overall levels of FTD marked ASD compared to controls. Furthermore, in ASD decreased performance on verbal working memory was correlated with increased FTD ratings and explained a significant amount of variance of objective and subjective FTD. Verbal working memory is currently the most promising target executive function for understanding the development of idiosyncratic thought disorders in ASD.
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18
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Watt S, Crowe SF. Examining the beneficial effect of neuropsychological assessment on adult patient outcomes: a systematic review. Clin Neuropsychol 2017; 32:368-390. [DOI: 10.1080/13854046.2017.1414885] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
- Stephanie Watt
- School of Psychology and Public Health, La Trobe University, Bundoora, Australia
| | - Simon F. Crowe
- School of Psychology and Public Health, La Trobe University, Bundoora, Australia
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Nelson B, Sass LA. Towards integrating phenomenology and neurocognition: Possible neurocognitive correlates of basic self-disturbance in schizophrenia. CURRENT PROBLEMS OF PSYCHIATRY 2017. [DOI: 10.1515/cpp-2017-0015] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
Abstract
Phenomenological research indicates that disturbance of the basic sense of self may be a core phenotypic marker of schizophrenia spectrum disorders. Basic self-disturbance refers to disruption of the sense of ownership of experience and agency of action and is associated with a variety of anomalous subjective experiences. Little is known about the neurocognitive correlates of basic self-disturbance. In this paper, we review recent phenomenological and neurocognitive research and point to a convergence of these approaches around the concept of self-disturbance. Specifically, we propose that subjective anomalies associated with basic self-disturbance may be associated with: 1. source monitoring deficits, which may contribute particularly to disturbances of “ownership” and “mineness” (the phenomenological notion of presence) and 2. aberrant salience, and associated disturbances of memory, prediction, and attention processes, which may contribute to hyper-reflexivity, disturbed “grip” or “hold” on the perceptual and conceptual field, and disturbances of intuitive social understanding (“common sense”). These two streams of research are reviewed in turn before considering ways forward in integrative models, particularly regarding the role of early neurodevelopmental disturbances, primary versus secondary disturbances, and the state versus trait nature of such pathology. Empirical studies are required in a variety of populations in order to test the proposed associations between phenomenological and neurocognitive aspects of self-disturbance in schizophrenia. An integration of findings across the phenomenological and neurocognitive domains would represent a significant advance in the understanding of schizophrenia and possibly enhance early identification and intervention strategies.
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Affiliation(s)
- Barnaby Nelson
- Orygen, The National Centre of Excellence in Youth Mental Health , Melbourne , Australia
- Centre for Youth Mental Health , University of Melbourne , Melbourne , Australia
| | - Louis A. Sass
- Department of Clinical Psychology, Graduate School of Applied and Professional Psychology , Rutgers University , Piscataway , New Jersey, United States of America
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20
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Progressive Decline in Hippocampal CA1 Volume in Individuals at Ultra-High-Risk for Psychosis Who Do Not Remit: Findings from the Longitudinal Youth at Risk Study. Neuropsychopharmacology 2017; 42:1361-1370. [PMID: 28079061 PMCID: PMC5437892 DOI: 10.1038/npp.2017.5] [Citation(s) in RCA: 62] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2016] [Revised: 12/05/2016] [Accepted: 01/04/2017] [Indexed: 01/08/2023]
Abstract
Most individuals identified as ultra-high-risk (UHR) for psychosis do not develop frank psychosis. They continue to exhibit subthreshold symptoms, or go on to fully remit. Prior work has shown that the volume of CA1, a subfield of the hippocampus, is selectively reduced in the early stages of schizophrenia. Here we aimed to determine whether patterns of volume change of CA1 are different in UHR individuals who do or do not achieve symptomatic remission. Structural MRI scans were acquired at baseline and at 1-2 follow-up time points (at 12-month intervals) from 147 UHR and healthy control subjects. An automated method (based on an ex vivo atlas of ultra-high-resolution hippocampal tissue) was used to delineate the hippocampal subfields. Over time, a greater decline in bilateral CA1 subfield volumes was found in the subgroup of UHR subjects whose subthreshold symptoms persisted (n=40) and also those who developed clinical psychosis (n=12), compared with UHR subjects who remitted (n=41) and healthy controls (n=54). No baseline differences in volumes of the overall hippocampus or its subfields were found among the groups. Moreover, the rate of volume decline of CA1, but not of other hippocampal subfields, in the non-remitters was associated with increasing symptom severity over time. Thus, these findings indicate that there is deterioration of CA1 volume in persistently symptomatic UHR individuals in proportion to symptomatic progression.
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21
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Lindgren M, Manninen M, Kalska H, Mustonen U, Laajasalo T, Moilanen K, Huttunen MO, Cannon TD, Therman S, Suvisaari J. Evaluation of verbal list learning as a predictor of psychosis. Early Interv Psychiatry 2017; 11:171-176. [PMID: 26472539 DOI: 10.1111/eip.12287] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2015] [Revised: 06/18/2015] [Accepted: 09/21/2015] [Indexed: 11/28/2022]
Abstract
AIM We explored whether cognitive performance, and verbal learning in particular, predicts psychosis or psychiatric hospitalizations among unselected first-admission adolescent patients in general psychiatric care. METHODS Up to 152 adolescents aged 15-18 were interviewed with the SIPS, tested with a cognitive test battery in the beginning of their psychiatric treatment, and followed for a maximum of 9 years (median 4.5 years). RESULTS The composite factors of processing speed, verbal performance and visuospatial performance did not predict psychosis (n = 7) or all-cause psychiatric hospitalizations (n = 26) beyond psychosis risk symptoms. However, those who developed psychosis performed worse on California Verbal Learning Test (CVLT) compared to other adolescents. Lower scores of CVLT immediate recall predicted psychosis (P = .003, HR = 1.13 per CVLT point decrease). However, when general verbal ability was adjusted for, CVLT did not reach significance. CONCLUSIONS Impaired verbal list learning may predict psychosis also among adolescent psychiatric patients not preselected for psychosis risk suspicion.
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Affiliation(s)
- Maija Lindgren
- Mental Health Unit, National Institute for Health and Welfare, Helsinki, Finland.,Institute of Behavioural Sciences, University of Helsinki, Helsinki, Finland
| | - Marko Manninen
- Mental Health Unit, National Institute for Health and Welfare, Helsinki, Finland
| | - Hely Kalska
- Institute of Behavioural Sciences, University of Helsinki, Helsinki, Finland
| | - Ulla Mustonen
- Mental Health Unit, National Institute for Health and Welfare, Helsinki, Finland
| | - Taina Laajasalo
- Mental Health Unit, National Institute for Health and Welfare, Helsinki, Finland.,Institute of Behavioural Sciences, University of Helsinki, Helsinki, Finland
| | - Kari Moilanen
- Adolescence Unit, Helsinki University Central Hospital, Helsinki, Finland
| | - Matti O Huttunen
- Mental Health Unit, National Institute for Health and Welfare, Helsinki, Finland
| | - Tyrone D Cannon
- Department of Psychology, Yale University, New Haven, Connecticut, USA
| | - Sebastian Therman
- Mental Health Unit, National Institute for Health and Welfare, Helsinki, Finland
| | - Jaana Suvisaari
- Mental Health Unit, National Institute for Health and Welfare, Helsinki, Finland
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22
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Reniers RLEP, Lin A, Yung AR, Koutsouleris N, Nelson B, Cropley VL, Velakoulis D, McGorry PD, Pantelis C, Wood SJ. Neuroanatomical Predictors of Functional Outcome in Individuals at Ultra-High Risk for Psychosis. Schizophr Bull 2017; 43:449-458. [PMID: 27369472 PMCID: PMC5605267 DOI: 10.1093/schbul/sbw086] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
Most individuals at ultra-high risk (UHR) for psychosis do not transition to frank illness. Nevertheless, many have poor clinical outcomes and impaired psychosocial functioning. This study used voxel-based morphometry to investigate if baseline grey and white matter brain densities at identification as UHR were associated with functional outcome at medium- to long-term follow-up. Participants were help-seeking UHR individuals (n = 109, 54M:55F) who underwent magnetic resonance imaging at baseline; functional outcome was assessed an average of 9.2 years later. Primary analysis showed that lower baseline grey matter density, but not white matter density, in bilateral frontal and limbic areas, and left cerebellar declive were associated with poorer functional outcome (Social and Occupational Functioning Assessment Scale [SOFAS]). These findings were independent of transition to psychosis or persistence of the at-risk mental state. Similar regions were significantly associated with lower self-reported levels of social functioning and increased negative symptoms at follow-up. Exploratory analyses showed that lower baseline grey matter densities in middle and inferior frontal gyri were significantly associated with decline in Global Assessment of Functioning (GAF) score over follow-up. There was no association between baseline grey matter density and IQ or positive symptoms at follow-up. The current findings provide novel evidence that those with the poorest functional outcomes have the lowest grey matter densities at identification as UHR, regardless of transition status or persistence of the at-risk mental state. Replication and validation of these findings may allow for early identification of poor functional outcome and targeted interventions.
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Affiliation(s)
| | - Ashleigh Lin
- Telethon Kids Institute, The University of Western Australia, Perth, Australia
| | - Alison R. Yung
- Institute of Brain Behaviour and Mental Health, University of Manchester, Manchester, UK
| | - Nikolaos Koutsouleris
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University of Munich, Munich, Germany
| | - Barnaby Nelson
- Orygen, The National Centre of Excellence in Youth Mental Health, The University of Melbourne, Melbourne, Australia
| | - Vanessa L. Cropley
- Melbourne Neuropsychiatry Centre, The University of Melbourne and Melbourne Health, Melbourne, Australia
| | - Dennis Velakoulis
- Melbourne Neuropsychiatry Centre, The University of Melbourne and Melbourne Health, Melbourne, Australia
| | - Patrick D. McGorry
- Orygen, The National Centre of Excellence in Youth Mental Health, The University of Melbourne, Melbourne, Australia
| | - Christos Pantelis
- Melbourne Neuropsychiatry Centre, The University of Melbourne and Melbourne Health, Melbourne, Australia;,Centre for Neural Engineering, Department of Electrical and Electronic Engineering, University of Melbourne, Victoria, Australia;,Florey Institute for Neuroscience & Mental Health, Victoria, Australia
| | - Stephen J. Wood
- School of Psychology, University of Birmingham, Birmingham, UK;,Melbourne Neuropsychiatry Centre, The University of Melbourne and Melbourne Health, Melbourne, Australia
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23
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Choi J, Corcoran CM, Fiszdon JM, Stevens M, Javitt DC, Deasy M, Haber LC, Dewberry MJ, Pearlson GD. Pupillometer-based neurofeedback cognitive training to improve processing speed and social functioning in individuals at clinical high risk for psychosis. Psychiatr Rehabil J 2017; 40:33-42. [PMID: 27560455 PMCID: PMC5326611 DOI: 10.1037/prj0000217] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
OBJECTIVE Among individuals at clinical high risk (CHR) for psychosis, processing speed (PS) has been related to social and role functioning regardless of conversion to schizophrenia. This information processing dysfunction is a gateway to broader behavioral deficits such as difficulty executing social behaviors. We examined the feasibility of improving information processing relevant to social situations in CHR, including its sustainability at 2-month follow-up, and its association with concurrent social function. METHOD This was a double-blind RCT in which 62 CHR participants were randomized to Processing Speed Training (PST) or an active control matched for training format and the same dose and duration of treatment. PST is a tablet-based program that uses pupillometry-based neurofeedback to continually adjust training parameters for an optimal neurocognitive load and to improve visual scanning efficiency by inhibiting selection of nonessential targets and discriminating figure-ground details. RESULTS The PST group showed faster motoric and nonmotoric PS at post training and 2-month follow-up. At 2 month follow-up, the PST group reported better overall social adjustment. Changes in PS from baseline to 2 months were correlated with overall social adjustment and social avoidance in the entire sample. CONCLUSIONS AND IMPLICATIONS FOR PRACTICE This is the first study to test focal neurofeedback-based cognitive training for PS deficits in the putatively prodromal phase of schizophrenia to address associated social morbidity. Targeting PS appears to be a promising pathway to decreasing comorbidity and mitigating a risk factor for psychosis. (PsycINFO Database Record
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Affiliation(s)
- Jimmy Choi
- The Institute of Living at Hartford Hospital
| | | | - Joanna M Fiszdon
- VA Connecticut Healthcare System, Yale University School of Medicine
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Metzler S, Dvorsky D, Wyss C, Nordt C, Walitza S, Heekeren K, Rössler W, Theodoridou A. Neurocognition in help-seeking individuals at risk for psychosis: Prediction of outcome after 24 months. Psychiatry Res 2016; 246:188-194. [PMID: 27718468 DOI: 10.1016/j.psychres.2016.08.065] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2016] [Revised: 07/28/2016] [Accepted: 08/03/2016] [Indexed: 12/31/2022]
Abstract
An important aim in schizophrenia research is to optimize the prediction of psychosis and to improve strategies for early intervention. The objectives of this study were to explore neurocognitive performance in individuals at risk for psychosis and to optimize predictions through a combination of neurocognitive and psychopathological variables. Information on clinical outcomes after 24 months was available from 118 subjects who had completed an extensive assessment at baseline. Subjects who had converted to psychosis were compared with subjects who had not. Multivariate Cox regression analyses were used to determine which baseline measure best predicted a conversion to psychosis. The premorbid IQ and the neurocognitive domains of processing speed, learning/memory, working memory and verbal fluency significantly discriminated between converters and non-converters. When entered into multivariate regression analyses, the combination of PANSS positive/negative symptom severity and IQ best predicted the clinical outcomes. Our results confirm previous evidence suggesting moderate premorbid cognitive deficits in individuals developing full-blown psychosis. Overall, clinical symptoms appeared to be a more sensitive predictor than cognitive performance. Nevertheless, the two might serve as complementary predictors when assessing the risk for psychosis.
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Affiliation(s)
- Sibylle Metzler
- The Zurich Program for Sustainable Development of Mental Health Services (ZInEP), University Hospital of Psychiatry Zurich, Switzerland.
| | - Diane Dvorsky
- Department of Psychiatry, Psychotherapy and Psychosomatics, University Hospital of Psychiatry Zurich, Switzerland
| | - Christine Wyss
- Department of Psychiatry, Psychotherapy and Psychosomatics, University Hospital of Psychiatry Zurich, Switzerland
| | - Carlos Nordt
- Department of Psychiatry, Psychotherapy and Psychosomatics, University Hospital of Psychiatry Zurich, Switzerland
| | - Susanne Walitza
- Department of Child and Adolescent Psychiatry, University of Zurich, Switzerland
| | - Karsten Heekeren
- The Zurich Program for Sustainable Development of Mental Health Services (ZInEP), University Hospital of Psychiatry Zurich, Switzerland; Department of Psychiatry, Psychotherapy and Psychosomatics, University Hospital of Psychiatry Zurich, Switzerland
| | - Wulf Rössler
- The Zurich Program for Sustainable Development of Mental Health Services (ZInEP), University Hospital of Psychiatry Zurich, Switzerland; Collegium Helveticum, a joint Research Institute between the University of Zurich and the Swiss Federal Institute of Technology Zurich, Switzerland; Institute of Psychiatry, Laboratory of Neuroscience (LIM 27), University of Sao Paulo, Sao Paulo, Brazil
| | - Anastasia Theodoridou
- The Zurich Program for Sustainable Development of Mental Health Services (ZInEP), University Hospital of Psychiatry Zurich, Switzerland; Department of Psychiatry, Psychotherapy and Psychosomatics, University Hospital of Psychiatry Zurich, Switzerland
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25
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Francesconi M, Minichino A, Carrión RE, Delle Chiaie R, Bevilacqua A, Parisi M, Rullo S, Bersani FS, Biondi M, Cadenhead K. Psychosis prediction in secondary mental health services. A broad, comprehensive approach to the "at risk mental state" syndrome. Eur Psychiatry 2016; 40:96-104. [PMID: 27992839 DOI: 10.1016/j.eurpsy.2016.09.002] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2016] [Revised: 09/01/2016] [Accepted: 09/02/2016] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Accuracy of risk algorithms for psychosis prediction in "at risk mental state" (ARMS) samples may differ according to the recruitment setting. Standardized criteria used to detect ARMS individuals may lack specificity if the recruitment setting is a secondary mental health service. The authors tested a modified strategy to predict psychosis conversion in this setting by using a systematic selection of trait-markers of the psychosis prodrome in a sample with a heterogeneous ARMS status. METHODS 138 non-psychotic outpatients (aged 17-31) were consecutively recruited in secondary mental health services and followed-up for up to 3 years (mean follow-up time, 2.2 years; SD=0.9). Baseline ARMS status, clinical, demographic, cognitive, and neurological soft signs measures were collected. Cox regression was used to derive a risk index. RESULTS 48% individuals met ARMS criteria (ARMS-Positive, ARMS+). Conversion rate to psychosis was 21% for the overall sample, 34% for ARMS+, and 9% for ARMS-Negative (ARMS-). The final predictor model with a positive predictive validity of 80% consisted of four variables: Disorder of Thought Content, visuospatial/constructional deficits, sensory-integration, and theory-of-mind abnormalities. Removing Disorder of Thought Content from the model only slightly modified the predictive accuracy (-6.2%), but increased the sensitivity (+9.5%). CONCLUSIONS These results suggest that in a secondary mental health setting the use of trait-markers of the psychosis prodrome may predict psychosis conversion with great accuracy despite the heterogeneity of the ARMS status. The use of the proposed predictive algorithm may enable a selective recruitment, potentially reducing duration of untreated psychosis and improving prognostic outcomes.
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Affiliation(s)
- M Francesconi
- Department of Neurology and Psychiatry, Sapienza University of Rome, Italy; Department of Psychiatry, UCSD, La Jolla, CA, United States
| | - A Minichino
- Department of Neurology and Psychiatry, Sapienza University of Rome, Italy; Department of Psychiatry, UCSD, La Jolla, CA, United States.
| | - R E Carrión
- Division of Psychiatry, Zucker Hillside Hospital, Long Island, NY, United States
| | - R Delle Chiaie
- Department of Neurology and Psychiatry, Sapienza University of Rome, Italy
| | - A Bevilacqua
- Research Center in Neurobiology, Daniel Bovet (CRiN), Rome, Italy; Department of Psychology, Section of Neuroscience, Sapienza University of Rome, Italy
| | - M Parisi
- Villa Armonia Nuova, Rome, Italy
| | - S Rullo
- Casa di Cura Villa Letizia, Rome, Italy
| | - F Saverio Bersani
- Department of Neurology and Psychiatry, Sapienza University of Rome, Italy
| | - M Biondi
- Department of Neurology and Psychiatry, Sapienza University of Rome, Italy
| | - K Cadenhead
- Department of Psychiatry, UCSD, La Jolla, CA, United States
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26
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Griffiths KR, Lagopoulos J, Hermens DF, Lee RSC, Guastella AJ, Hickie IB, Balleine BW. Impaired causal awareness and associated cortical-basal ganglia structural changes in youth psychiatric disorders. NEUROIMAGE-CLINICAL 2016; 12:285-92. [PMID: 27551665 PMCID: PMC4983644 DOI: 10.1016/j.nicl.2016.06.017] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/04/2016] [Revised: 04/11/2016] [Accepted: 06/22/2016] [Indexed: 02/06/2023]
Abstract
Background Cognitive impairments contribute significantly to disease burden in young individuals presenting with major psychiatric disorders. The capacity to encode the consequences of one's actions may be of particular importance for real-world functioning due to its fundamental role in goal-directed behavior. Methods Here, we investigated a dimensional measure of causal awareness during a probabilistic learning task in 92 young individuals with an admixture of major mood and psychotic illnesses, at early and more established stages. Using automated gray matter segmentation of T1-weighted images, we estimated the volume and shapes of major subcortical structures and investigated their association with causal awareness. Results The low causal awareness (LCA) group (n = 35) reported increased social disability (p = .004) and reduced right pallidal size, specifically within the dorsolateral surfaces (p = .02), relative to the unimpaired high causal awareness (HCA) patients (n = 57). In early-stage illness, LCA had a smaller right thalamus (p = .002) relative to HCA. Exploratory investigations suggested that in developed psychotic syndromes, causal awareness was correlated with left hippocampal size (p = .006) whereas, in more persistent affective disorders, causal awareness was correlated with left amygdala size (p = .013), specifically within the anterior aspect. Discussion Low causal awareness occurs across diagnoses and stages of illness and is associated with poor functional outcomes. Our results suggest that there may be shared neural underpinnings of its dysfunction in the early course of mood and psychotic disorders, however in more established illness, there is greater neurobiological divergence in causal awareness correlates between diagnoses. Impaired awareness of causal relationships occurs trans-diagnostically. Participants with low causal awareness have poorer functional outcomes. Low causal awareness was associated with reduced right pallidal size Low causal awareness was associated with a lateralized limbic-pallidal circuit. Results suggest common neural dysfunction in early mood and psychotic disorders.
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Affiliation(s)
| | | | | | - Rico S C Lee
- Brain and Mind Centre, University of Sydney, Australia
| | | | - Ian B Hickie
- Brain and Mind Centre, University of Sydney, Australia
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27
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Hou CL, Xiang YT, Wang ZL, Everall I, Tang Y, Yang C, Xu MZ, Correll CU, Jia FJ. Cognitive functioning in individuals at ultra-high risk for psychosis, first-degree relatives of patients with psychosis and patients with first-episode schizophrenia. Schizophr Res 2016; 174:71-76. [PMID: 27197904 DOI: 10.1016/j.schres.2016.04.034] [Citation(s) in RCA: 44] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2015] [Revised: 04/20/2016] [Accepted: 04/21/2016] [Indexed: 10/21/2022]
Abstract
OBJECTIVE The aim of the present study was to investigate and compare cognitive functioning of first-degree relatives of people with schizophrenia who were also at ultra-high risk (UHR) for psychosis with patients with first-episode (FE) schizophrenia, first degree relatives of patients not fulfilling UHR criteria (FDR), and healthy control (HC) subjects. METHOD Forty subjects in each group were included, underwent a face-to-face interview and completed a neurocognitive test battery, including the Trail Making Test-A (TMT-A, psychomotor functions), Stroop Color Word Test (attention), Digit Symbol Coding Test (DST, processing speed and working memory) and Hopkins Verbal Leaning Test-Revised (HVLT-R, verbal memory). RESULTS Functioning in all the cognitive test domains displayed a gradual decrease from the HC, FDR, UHR to FE groups. After controlling for covariates, there were still significant differences in TMT-A (F(7160)=35.4, P<0.001), DST (F(7160)=38.9, P<0.001), Stroop Color Word Test (F(7160)=35.0, P<0.001), Stroop Word Test (F(7160)=36.2, P<0.001), Stroop Color Test (F(7160)=40.9, P<0.001) and HVLT-R (F(7160)=62.5, P<0.001) between the four groups, indicating that the cognitive functioning in the UHR group was intermediate between the FE and FDR groups, while the FDR group had poorer performance than the HC group, and the FE group had the poorest cognitive functioning across all four examined domains. CONCLUSION The results indicate that impairments in processing speed, attention, working memory and verbal memory exist in both UHR and FDR subjects. In order to clarify the associations between cognitive functioning and UHR and schizophrenia, longitudinal studies are warranted.
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Affiliation(s)
- Cai-Lan Hou
- Guangdong Mental Health Center, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangdong Province, China
| | - Yu-Tao Xiang
- Unit of Psychiatry, Faculty of Health Sciences, University of Macau, Macao SAR, China.
| | - Zhong-Lei Wang
- Shenzhen Key Laboratory for Psychological Healthcare, Shenzhen Institute of Mental Health, Shenzhen Kangning Hospital, Shenzhen Mental Health Center, Shenzhen, China
| | - Ian Everall
- Department of Psychiatry, The University of Melbourne, Carlton, VIC, Australia
| | - Yi Tang
- Guangdong Mental Health Center, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangdong Province, China
| | - Chengjia Yang
- Guangdong Mental Health Center, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangdong Province, China
| | - Ming-Zhi Xu
- Guangdong Mental Health Center, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangdong Province, China
| | - Christoph U Correll
- Division of Psychiatry Research, The Zucker Hillside Hospital, North Shore-Long Island Jewish Health System, Glen Oaks, NY, USA
| | - Fu-Jun Jia
- Guangdong Mental Health Center, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangdong Province, China.
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Waltz J, Demro C, Schiffman J, Thompson E, Kline E, Reeves G, Xu Z, Gold J. Reinforcement Learning Performance and Risk for Psychosis in Youth. J Nerv Ment Dis 2015; 203:919-926. [PMID: 26588080 PMCID: PMC5483992 DOI: 10.1097/nmd.0000000000000420] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Early identification efforts for psychosis have thus far yielded many more individuals "at risk" than actually develop psychotic illness. Here, we test whether measures of reinforcement learning (RL), known to be impaired in chronic schizophrenia, are related to the severity of clinical risk symptoms. Because of the reliance of RL on dopamine-rich frontostriatal systems and evidence of dopamine system dysfunction in the psychosis prodrome, RL measures are of specific interest in this clinical population. The current study examines relationships between psychosis risk symptoms and RL task performance in a sample of adolescents and young adults (n = 70) receiving mental health services. We observed significant correlations between multiple measures of RL performance and measures of both positive and negative symptoms. These results suggest that RL measures may provide a psychosis risk signal in treatment-seeking youth. Further research is necessary to understand the potential predictive role of RL measures for conversion to psychosis.
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Affiliation(s)
- James Waltz
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, P.O. Box 21247, Baltimore, MD 21228
| | - Caroline Demro
- Department of Psychology, University of Maryland, Baltimore County, 1000 Hilltop Circle, Baltimore, MD, USA, 21250
| | - Jason Schiffman
- Department of Psychology, University of Maryland, Baltimore County, 1000 Hilltop Circle, Baltimore, MD, USA, 21250
| | - Elizabeth Thompson
- Department of Psychology, University of Maryland, Baltimore County, 1000 Hilltop Circle, Baltimore, MD, USA, 21250
| | - Emily Kline
- Department of Psychology, University of Maryland, Baltimore County, 1000 Hilltop Circle, Baltimore, MD, USA, 21250
| | - Gloria Reeves
- Division of Child and Adolescent Psychiatry, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, 701 W. Pratt Street, Baltimore, MD, US, 21201
| | - Ziye Xu
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, P.O. Box 21247, Baltimore, MD 21228
| | - James Gold
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, P.O. Box 21247, Baltimore, MD 21228
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29
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Hong SB, Lee TY, Kwak YB, Kim SN, Kwon JS. Baseline putamen volume as a predictor of positive symptom reduction in patients at clinical high risk for psychosis: A preliminary study. Schizophr Res 2015; 169:178-185. [PMID: 26527246 DOI: 10.1016/j.schres.2015.10.029] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2015] [Revised: 10/13/2015] [Accepted: 10/20/2015] [Indexed: 12/20/2022]
Abstract
OBJECTIVES Illness course in individuals at clinical high risk (CHR) status for psychosis is heterogeneous, which limits effective treatment for all CHR subgroups. Baseline predictors of positive symptom trajectory in the CHR group will reduce such limitations. We singled out the putamen, thought to be involved in the generation of the key schizophrenia symptoms early in the course of disease, as a potential predictor of positive symptom trajectory in CHR patients. METHOD We recruited 45 CHR patients and 29 age- and gender-matched healthy controls (HC). The CHR group was divided into patients with positive symptom reduction (CHR-R) and patients without positive symptom reduction (CHR-NR) at 6 months. Comparisons were made between the baseline putamen volumes of CHR-R, CHR-NR and HC groups. The relationship between baseline putamen volumes and clinical measures was investigated. RESULTS Left putamen volumes of CHR-R patients were significantly smaller than those of HCs (p=0.002) and of CHR-NR patients (p=0.024). CHR-R patients had significantly reduced leftward laterality compared to HCs (p=0.007). In the CHR-R group, bilateral putamen volumes were correlated with positive symptom severity at baseline (r=-0.552, p=0.001) and at 6 months (r=-0.360, p=0.043), and predicted positive symptom score change in 6 months at a trend level (p=0.092). CONCLUSION Smaller left putamen volumes in CHR-R patients, and the correlation between positive symptom severity and putamen volumes suggest that putamen volume is a possible risk-stratifier and predictor of clinical course in the CHR population.
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Affiliation(s)
- Sang Bin Hong
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Tae Young Lee
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea; Medical Research Center, Seoul National University College of Medicine, Seoul, Republic of Korea.
| | - Yoo Bin Kwak
- Department of Brain & Cognitive Sciences, Seoul National University College of National Sciences, Seoul, Republic of Korea
| | - Sung Nyun Kim
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Jun Soo Kwon
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea; Medical Research Center, Seoul National University College of Medicine, Seoul, Republic of Korea; Department of Brain & Cognitive Sciences, Seoul National University College of National Sciences, Seoul, Republic of Korea
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Corcoran CM, Keilp JG, Kayser J, Klim C, Butler PD, Bruder GE, Gur RC, Javitt DC. Emotion recognition deficits as predictors of transition in individuals at clinical high risk for schizophrenia: a neurodevelopmental perspective. Psychol Med 2015; 45:2959-2973. [PMID: 26040537 PMCID: PMC5080982 DOI: 10.1017/s0033291715000902] [Citation(s) in RCA: 86] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
BACKGROUND Schizophrenia is characterized by profound and disabling deficits in the ability to recognize emotion in facial expression and tone of voice. Although these deficits are well documented in established schizophrenia using recently validated tasks, their predictive utility in at-risk populations has not been formally evaluated. METHOD The Penn Emotion Recognition and Discrimination tasks, and recently developed measures of auditory emotion recognition, were administered to 49 clinical high-risk subjects prospectively followed for 2 years for schizophrenia outcome, and 31 healthy controls, and a developmental cohort of 43 individuals aged 7-26 years. Deficit in emotion recognition in at-risk subjects was compared with deficit in established schizophrenia, and with normal neurocognitive growth curves from childhood to early adulthood. RESULTS Deficits in emotion recognition significantly distinguished at-risk patients who transitioned to schizophrenia. By contrast, more general neurocognitive measures, such as attention vigilance or processing speed, were non-predictive. The best classification model for schizophrenia onset included both face emotion processing and negative symptoms, with accuracy of 96%, and area under the receiver-operating characteristic curve of 0.99. In a parallel developmental study, emotion recognition abilities were found to reach maturity prior to traditional age of risk for schizophrenia, suggesting they may serve as objective markers of early developmental insult. CONCLUSIONS Profound deficits in emotion recognition exist in at-risk patients prior to schizophrenia onset. They may serve as an index of early developmental insult, and represent an effective target for early identification and remediation. Future studies investigating emotion recognition deficits at both mechanistic and predictive levels are strongly encouraged.
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Affiliation(s)
- C. M. Corcoran
- Department of Psychiatry, Columbia University, New York, NY, USA
| | - J. G. Keilp
- Department of Psychiatry, Columbia University, New York, NY, USA
| | - J. Kayser
- Department of Psychiatry, Columbia University, New York, NY, USA
| | - C. Klim
- Department of Psychiatry, Columbia University, New York, NY, USA
| | - P. D. Butler
- Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA
- Department of Psychiatry, New York University, New York, NY, USA
| | - G. E. Bruder
- Department of Psychiatry, Columbia University, New York, NY, USA
| | - R. C. Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - D. C. Javitt
- Department of Psychiatry, Columbia University, New York, NY, USA
- Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA
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de Paula ALD, Hallak JEC, Maia-de-Oliveira JP, Bressan RA, Machado-de-Sousa JP. Cognition in at-risk mental states for psychosis. Neurosci Biobehav Rev 2015; 57:199-208. [PMID: 26365107 DOI: 10.1016/j.neubiorev.2015.09.006] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2015] [Accepted: 09/08/2015] [Indexed: 11/16/2022]
Abstract
RATIONALE The devastating nature of schizophrenia and treatment limitations have triggered a search for early detection methods to enable interventions to be implemented as soon as the first signs and symptoms appear. In this effort, several studies have investigated the cognitive functions in individuals regarded as being in at-risk mental states (ARMS) for psychosis. OBJECTIVE Our aim was to make a systematic review of the literature regarding basic and social cognition in individuals in ARMS following the guidelines of the PRISMA statement. RESULTS In general, the results of the 49 articles included in the review show that individuals in ARMS have pervasive cognitive deficits that seem to be greater in individuals who later convert to psychosis. CONCLUSIONS Cognitive impairment can be detected in individuals considered to be in ARMS according to current classifications and may serve as a risk marker for psychotic conversion; however, the lack of standardized criteria to define ARMS and of homogeneous cognitive assessment methods hamper the generalization of findings from different studies.
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Affiliation(s)
- André Luiz Damião de Paula
- Department of Neuroscience and Behavior, Ribeirão Preto Medical School, University of São Paulo, Brazil; National Institute for Translational Medicine, CNPq, Brazil
| | - Jaime Eduardo Cecílio Hallak
- Department of Neuroscience and Behavior, Ribeirão Preto Medical School, University of São Paulo, Brazil; National Institute for Translational Medicine, CNPq, Brazil
| | - João Paulo Maia-de-Oliveira
- National Institute for Translational Medicine, CNPq, Brazil; Department of Clinical Medicine, Federal University of Rio Grande do Norte, Natal, Brazil
| | | | - João Paulo Machado-de-Sousa
- Department of Neuroscience and Behavior, Ribeirão Preto Medical School, University of São Paulo, Brazil; National Institute for Translational Medicine, CNPq, Brazil.
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Bang M, Kim KR, Song YY, Baek S, Lee E, An SK. Neurocognitive impairments in individuals at ultra-high risk for psychosis: Who will really convert? Aust N Z J Psychiatry 2015; 49:462-70. [PMID: 25425742 DOI: 10.1177/0004867414561527] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
OBJECTIVE Impairments in neurocognitive function are considered as core features of schizophrenia. Individuals at ultra-high risk (UHR) for psychosis, the 'putative' prodrome of schizophrenia, generally show levels of impairments intermediate between schizophrenia patients and healthy controls. We investigated the neurocognitive performance of individuals at UHR for psychosis, comparing them with patients with first-episode schizophrenia (FES) and healthy controls (HC), and explored the predictivity of baseline neurocognitive function in the UHR group for transition to overt psychosis. METHOD Individuals at UHR for psychosis (n = 60), patients with FES (n = 39), and HC subjects (n = 94) participated in the present study. All participants performed a comprehensive neurocognitive battery, consisting of tests for five separate neurocognitive domains (executive function, attention/working memory, processing speed, verbal memory, and spatial memory). UHR subjects were assessed for transition every month during 24 months of follow-up. RESULTS Neurocognitive performance in the UHR group was largely at intermediate levels. Attention/working memory and verbal memory were significantly different from both the FES and HC groups. In the UHR group, processing speed was decreased to the level of the FES group, while executive function and spatial memory were relatively preserved. In the Cox regression model, spatial memory significantly predicted the transition to overt psychosis in the UHR group. CONCLUSIONS The present study showed that neurocognitive impairments were evident in UHR individuals prior to the onset of overt psychosis. Our findings generally support the neurodevelopmental model of schizophrenia and suggest that there could be different developmental trajectories between converters and non-converters.
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Affiliation(s)
- Minji Bang
- Section of Affect and Neuroscience, Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, South Korea Department of Psychiatry, Yonsei University College of Medicine, Severance Hospital, Seoul, South Korea
| | - Kyung Ran Kim
- Section of Affect and Neuroscience, Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, South Korea Department of Psychiatry, Yonsei University College of Medicine, Severance Hospital, Seoul, South Korea
| | - Yun Young Song
- Section of Affect and Neuroscience, Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, South Korea Department of Psychiatry, Seoul National Hospital, Seoul, South Korea
| | - Seoyeon Baek
- Section of Affect and Neuroscience, Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, South Korea
| | - Eun Lee
- Section of Affect and Neuroscience, Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, South Korea Department of Psychiatry, Yonsei University College of Medicine, Severance Hospital, Seoul, South Korea
| | - Suk Kyoon An
- Section of Affect and Neuroscience, Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, South Korea Department of Psychiatry, Yonsei University College of Medicine, Severance Hospital, Seoul, South Korea Graduate Program in Cognitive Science, Yonsei University, Seoul, South Korea
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Lin A, Brewer WJ, Yung AR, Nelson B, Pantelis C, Wood SJ. Olfactory identification deficits at identification as ultra-high risk for psychosis are associated with poor functional outcome. Schizophr Res 2015; 161:156-62. [PMID: 25476117 DOI: 10.1016/j.schres.2014.10.051] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2013] [Revised: 10/27/2014] [Accepted: 10/27/2014] [Indexed: 11/15/2022]
Abstract
BACKGROUND We have previously reported that olfactory identification (OI) deficits are a promising premorbid marker of transition from ultra-high risk (UHR) to schizophrenia, but not to psychotic illness more generally. Whether this remains the case at longer follow-up, and whether there is decline in OI ability are unclear. METHOD The University of Pennsylvania Smell Identification Test (UPSIT) was administered to 81 participants at baseline (identification of risk for psychosis) and 254 individuals at follow-up. Forty-nine participants underwent UPSIT assessment at both time points. UPSIT scores were investigated at an average of 7.08years after identification of risk in relation to transition to psychosis, a diagnosis of schizophrenia, and psychosocial/functional outcome. RESULTS UPSIT scores at baseline and follow-up did not differ between participants who transitioned to psychosis and those who did not. Similarly, there were no significant differences on UPSIT scores at baseline or follow-up between individuals with a diagnosis of schizophrenia and transitioned individuals without schizophrenia. Those with a poor functional outcome showed significantly lower baseline UPSIT scores than participants with good outcome. There was no significant association between functional outcome and follow-up UPSIT scores. There were no significant changes in UPSIT over time for any group. CONCLUSIONS These results suggest that impaired OI is not a good marker of the onset of psychosis and schizophrenia, but may differentiate UHR individuals who experience a poor functional outcome, regardless of transition status.
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Affiliation(s)
- A Lin
- Telethon Kids Institute, The University of Western Australia, Australia.
| | - W J Brewer
- Orygen Youth Health Research Centre, Centre for Youth Mental Health, University of Melbourne, Victoria, Australia
| | - A R Yung
- Orygen Youth Health Research Centre, Centre for Youth Mental Health, University of Melbourne, Victoria, Australia; Institute of Brain, Behaviour and Mental Health, University of Manchester, UK
| | - B Nelson
- Orygen Youth Health Research Centre, Centre for Youth Mental Health, University of Melbourne, Victoria, Australia
| | - C Pantelis
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Victoria, Australia
| | - S J Wood
- Telethon Kids Institute, The University of Western Australia, Australia; Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Victoria, Australia
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Michel C, Ruhrmann S, Schimmelmann BG, Klosterkötter J, Schultze-Lutter F. A stratified model for psychosis prediction in clinical practice. Schizophr Bull 2014; 40:1533-42. [PMID: 24609300 PMCID: PMC4193710 DOI: 10.1093/schbul/sbu025] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
OBJECTIVE Impaired cognition is an important dimension in psychosis and its at-risk states. Research on the value of impaired cognition for psychosis prediction in at-risk samples, however, mainly relies on study-specific sample means of neurocognitive tests, which unlike widely available general test norms are difficult to translate into clinical practice. The aim of this study was to explore the combined predictive value of at-risk criteria and neurocognitive deficits according to test norms with a risk stratification approach. METHOD Potential predictors of psychosis (neurocognitive deficits and at-risk criteria) over 24 months were investigated in 97 at-risk patients. RESULTS The final prediction model included (1) at-risk criteria (attenuated psychotic symptoms plus subjective cognitive disturbances) and (2) a processing speed deficit (digit symbol test). The model was stratified into 4 risk classes with hazard rates between 0.0 (both predictors absent) and 1.29 (both predictors present). CONCLUSIONS The combination of a processing speed deficit and at-risk criteria provides an optimized stratified risk assessment. Based on neurocognitive test norms, the validity of our proposed 3 risk classes could easily be examined in independent at-risk samples and, pending positive validation results, our approach could easily be applied in clinical practice in the future.
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Affiliation(s)
- Chantal Michel
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland; Shared first authorship
| | - Stephan Ruhrmann
- Department of Psychiatry and Psychotherapy, University of Cologne, Cologne, Germany,
Shared first authorship
| | - Benno G. Schimmelmann
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | | | - Frauke Schultze-Lutter
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
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Bora E, Lin A, Wood SJ, Yung AR, McGorry PD, Pantelis C. Cognitive deficits in youth with familial and clinical high risk to psychosis: a systematic review and meta-analysis. Acta Psychiatr Scand 2014; 130:1-15. [PMID: 24611632 DOI: 10.1111/acps.12261] [Citation(s) in RCA: 190] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/06/2014] [Indexed: 11/28/2022]
Abstract
OBJECTIVE It is likely that cognitive deficits are vulnerability markers for developing schizophrenia, as these deficits are already well-established findings in first-episode psychosis. Studies at-risk adolescents and young adults are likely to provide information about cognitive deficits that predate the onset of the illness. METHOD We conducted meta-analyses of studies comparing familial-high risk (FHR) or ultra-high risk (UHR; n = 2113) and healthy controls (n = 1748) in youth studies in which the mean age was between 15 and 29. RESULTS Compared with controls, high risk subjects were impaired in each domain in both UHR (d = 0.34-0.71) and FHR (d = 0.24-0.81). Heterogeneity of effect sizes across studies was modest, increasing confidence to the findings of the current meta-analysis (I(2) = 0-0.18%). In both risk paradigms, co-occurrence of genetic risk with attenuated symptoms was associated with more severe cognitive dysfunction. In UHR, later transition to psychosis was associated with more severe cognitive deficits in all domains (d = 0.31-0.49) except sustained attention. However, cognitive impairment has a limited capacity to predict the outcome of high-risk patients. CONCLUSION Cognitive deficits are already evident in adolescents and young adults who have familial or clinical risk for psychosis. Longitudinal developmental studies are important to reveal timing and trajectory of emergence of such deficits.
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Affiliation(s)
- E Bora
- Department of Psychiatry, Melbourne Neuropsychiatry Centre, The University of Melbourne and Melbourne Health, Melbourne, Vic., Australia
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Ziermans T, de Wit S, Schothorst P, Sprong M, van Engeland H, Kahn R, Durston S. Neurocognitive and clinical predictors of long-term outcome in adolescents at ultra-high risk for psychosis: a 6-year follow-up. PLoS One 2014; 9:e93994. [PMID: 24705808 PMCID: PMC3976376 DOI: 10.1371/journal.pone.0093994] [Citation(s) in RCA: 65] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2013] [Accepted: 03/10/2014] [Indexed: 12/25/2022] Open
Abstract
Background Most studies aiming to predict transition to psychosis for individuals at ultra-high risk (UHR) have focused on either neurocognitive or clinical variables and have made little effort to combine the two. Furthermore, most have focused on a dichotomous measure of transition to psychosis rather than a continuous measure of functional outcome. We aimed to investigate the relative value of neurocognitive and clinical variables for predicting both transition to psychosis and functional outcome. Methods Forty-three UHR individuals and 47 controls completed an extensive clinical and neurocognitive assessment at baseline and participated in long-term follow-up approximately six years later. UHR adolescents who had converted to psychosis (UHR-P; n = 10) were compared to individuals who had not (UHR-NP; n = 33) and controls on clinical and neurocognitive variables. Regression analyses were performed to determine which baseline measures best predicted transition to psychosis and long-term functional outcome for UHR individuals. Results Low IQ was the single neurocognitive parameter that discriminated UHR-P individuals from UHR-NP individuals and controls. The severity of attenuated positive symptoms was the only significant predictor of a transition to psychosis and disorganized symptoms were highly predictive of functional outcome. Conclusions Clinical measures are currently the most important vulnerability markers for long-term outcome in adolescents at imminent risk of psychosis.
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Affiliation(s)
- Tim Ziermans
- Department of Clinical Child and Adolescent Studies, Leiden University, Leiden, the Netherlands
- * E-mail:
| | - Sanne de Wit
- Department of Psychiatry, University Medical Center Utrecht, Rudolf Magnus Institute of Neuroscience, Utrecht, the Netherlands
| | - Patricia Schothorst
- Department of Psychiatry, University Medical Center Utrecht, Rudolf Magnus Institute of Neuroscience, Utrecht, the Netherlands
| | - Mirjam Sprong
- Department of Psychiatry, University Medical Center Utrecht, Rudolf Magnus Institute of Neuroscience, Utrecht, the Netherlands
| | - Herman van Engeland
- Department of Psychiatry, University Medical Center Utrecht, Rudolf Magnus Institute of Neuroscience, Utrecht, the Netherlands
| | - René Kahn
- Department of Psychiatry, University Medical Center Utrecht, Rudolf Magnus Institute of Neuroscience, Utrecht, the Netherlands
| | - Sarah Durston
- Department of Psychiatry, University Medical Center Utrecht, Rudolf Magnus Institute of Neuroscience, Utrecht, the Netherlands
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Bodatsch M, Klosterkötter J, Daumann J. Contributions of experimental psychiatry to research on the psychosis prodrome. Front Psychiatry 2013; 4:170. [PMID: 24381564 PMCID: PMC3865446 DOI: 10.3389/fpsyt.2013.00170] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2013] [Accepted: 12/04/2013] [Indexed: 11/13/2022] Open
Abstract
In the recent decades, a paradigmatic change in psychosis research and treatment shifted attention toward the early and particularly the prodromal stages of illness. Despite substantial progress with regard to the neuronal underpinnings of psychosis development, the crucial biological mechanisms leading to manifest illness are yet insufficiently understood. Until today, one significant approach to elucidate the neurobiology of psychosis has been the modeling of psychotic symptoms by psychedelic substances in healthy individuals. These models bear the opportunity to evoke particular neuronal aberrations and the respective psychotic symptoms in a controlled experimental setting. In the present paper, we hypothesize that experimental psychiatry bears unique opportunities in elucidating the biological mechanisms of the prodromal stages of psychosis. Psychosis risk symptoms are attenuated, transient, and often only retrospectively reported. The respective neuronal aberrations are thought being dynamic. The correlation of unstable psychopathology with observed neurofunctional disturbances is thus yet largely unclear. In modeling psychosis, the experimental setting allows not only for evoking particular symptoms, but for the concomitant assessment of psychopathology, neurophysiology, and neuropsychology. Herein, the glutamatergic model will be highlighted exemplarily, with special emphasis on its potential contribution to the elucidation of psychosis development. This model of psychosis appears as candidate for modeling the prodrome by inducing psychotic-like symptoms in healthy individuals. Furthermore, it alters pre-attentive processing like the Mismatch Negativity, an electrophysiological component which has recently been identified as a potential predictive marker of psychosis development. In summary, experimental psychiatry bears the potential to further elucidate the biological mechanisms of the psychosis prodrome. A better understanding of the respective pathophysiology might assist in the identification of predictive markers, and the development of preventive treatments.
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Affiliation(s)
- Mitja Bodatsch
- Department of Psychiatry and Psychotherapy, University of Cologne , Cologne , Germany
| | - Joachim Klosterkötter
- Department of Psychiatry and Psychotherapy, University of Cologne , Cologne , Germany
| | - Jörg Daumann
- Department of Psychiatry and Psychotherapy, University of Cologne , Cologne , Germany
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