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Culpepper L, Martin A, Harrington A, Wade SW, Parikh M. A Retrospective Cross-Sectional Analysis of the Humanistic and Economic Burden of Bipolar I Disorder. Clin Ther 2024:S0149-2918(24)00214-5. [PMID: 39322443 DOI: 10.1016/j.clinthera.2024.08.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Revised: 04/02/2024] [Accepted: 08/06/2024] [Indexed: 09/27/2024]
Abstract
PURPOSE This study quantified the burdens of bipolar I disorder (BP-I) by examining patient characteristics, health-related quality of life (HRQoL), health care resource utilization (HCRU), and costs of patients with versus without BP-I. Additionally, these outcomes were assessed across BP-I severity levels. METHODS A retrospective, cross-sectional analysis of the 2020 National Health and Wellness Survey was conducted. Adults who self-reported a physician diagnosis of BP-I were assigned to the BP-I cohort, with severity-specific subgroups (mild, moderate, severe) created for analysis. A separate cohort of participants without BP-I or MDD was used for comparison. Exclusion criteria included a schizophrenia diagnosis. Bivariate analyses compared demographic and socioeconomic characteristics between cohorts. HRQoL (Short Form-36v2 Health Survey [SF36v2] mental and physical component scores, EuroQol Five-Dimension Visual Analogue Scale [EQ-5D VAS]), HCRU (health care provider visits, emergency department visits, hospitalizations), and annualized costs (direct and indirect) were evaluated for participants with versus without BP-I as well as across BP-I severity subgroups using multivariate analyses adjusted for key baseline differences. Because BP-I is often misdiagnosed as MDD, outcomes were evaluated in a subgroup of participants with MDD who according to the Mood Disorder Questionnaire screened as having probable BP-I (ie, potentially misdiagnosed BP-I) and were compared with the BP-I severity subgroups. FINDINGS Cohorts included 818 participants with BP-I (mild = 336, moderate = 285, severe = 197) and 53,021 participants without BP-I. Participants with BP-I reported significantly lower HRQoL scores on the SF-36v2 and EQ-5D VAS (all measures, P < 0.001), and increasing BP-I severity was predictive of declining HRQoL. Participants with BP-I had significantly greater HCRU (all measures, P < 0.05) than participants without BP-I and increasing BP-I severity was associated with greater HCRU versus the mild BP-I cohort (all measures, P < 0.05). Participants with BP-I incurred significantly greater total direct (P < 0.01) and indirect (P < 0.001) costs versus participants without BP-I. Direct costs were incrementally higher across BP-I severity, while indirect costs were high across all groups but did not differ significantly. Participants with potentially misdiagnosed BP-I (n = 302) had similar HRQoL to those with mild-to-moderate BP-I and similar HCRU and direct costs to those with mild BP-I. IMPLICATIONS These results demonstrate the substantial clinical and economic burdens associated with BP-I, and these negative impacts generally increase with BP-I severity. The study also suggests that despite not having the diagnosis of BP-I, burdens of potentially misdiagnosed patients are similar to those with mild-to-moderate BP-I. Together, these results reveal substantial and diverse unmet needs among adults with BP-I.
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Affiliation(s)
- Larry Culpepper
- Boston University School of Medicine, Westport, Massachusetts.
| | | | | | - Sally W Wade
- Wade Outcomes Research and Consulting, Salt Lake City, Utah
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Yassin W, Green J, Keshavan M, Del Re EC, Addington J, Bearden CE, Cadenhead KS, Cannon TD, Cornblatt BA, Mathalon DH, Perkins DO, Walker EF, Woods SW, Stone WS. Cognitive subtypes in youth at clinical high risk for psychosis. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.08.07.24311240. [PMID: 39211862 PMCID: PMC11361220 DOI: 10.1101/2024.08.07.24311240] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/04/2024]
Abstract
Introduction Schizophrenia is a mental health condition that severely impacts well-being. Cognitive impairment is among its core features, often presenting well before the onset of overt psychosis, underscoring a critical need to study it in the psychosis proneness (clinical high risk; CHR) stage, to maximize the benefits of interventions and to improve clinical outcomes. However, given the heterogeneity of cognitive impairment in this population, a one-size-fits-all approach to therapeutic interventions would likely be insufficient. Thus, identifying cognitive subtypes in this population is crucial for tailored and successful therapeutic interventions. Here we identify, validate, and characterize cognitive subtypes in large CHR samples and delineate their baseline and longitudinal cognitive and functional trajectories. Methods Using machine learning, we performed cluster analysis on cognitive measures in a large sample of CHR youth (n = 764), and demographically comparable controls (HC; n = 280) from the North American Prodrome Longitudinal Study (NAPLS) 2, and independently validated our findings with an equally large sample (NAPLS 3; n = 628 CHR, 84 HC). By utilizing several statistical approaches, we compared the clusters on cognition and functioning at baseline, and over 24 months of followup. We further delineate the conversion status within those clusters. Results Two main cognitive clusters were identified, "impaired" and "intact" across all cognitive domains in CHR compared to HC. Baseline differences between the cognitively intact cluster and HC were found in the verbal abilities and attention and working memory domains. Longitudinally, those in the cognitively impaired cluster group demonstrated an overall floor effect and did not deteriorate further over time. However, a "catch up" trajectory was observed in the attention and working memory domain. This group had higher instances of conversion overall, with these converters having significantly more non-affective psychotic disorder diagnosis versus bipolar disorder, than those with intact cognition. In the cognitively intact group, we observed differences in trajectory based on conversion status, where those who start with intact cognition and later convert demonstrate a sharp decline in attention and functioning. Functioning was significantly better in the cognitively intact than in the impaired group at baseline. Most of the cognitive trajectories demonstrate a positive relationship with functional ones. Conclusion Our findings provide evidence for intact and impaired cognitive subtypes in youth at CHR, independent of conversion status. They further indicate that attention and working memory are important to distinguish between the CHR with intact cognition and controls. The cognitively intact CHR group becomes less attentive after conversion, while the cognitively impaired one demonstrates a catch up trajectory on both attention and working memory. Overall, early evaluation, covering several cognitive domains, is crucial for identifying trajectories of improvement and deterioration for the purpose of tailoring intervention for improving outcomes in individuals at CHR for psychosis.
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Adriasola A, Torres SC, Cañada Y, Chicchi Giglioli IA, García-Blanco A, Sierra P, López-Cerveró M, Chloe BR, Navalón P, Mariano AR. Assessing Executive Functioning in Schizophrenia: Concurrent and Discriminative Validity of a Novel Virtual Cooking Task. CYBERPSYCHOLOGY, BEHAVIOR AND SOCIAL NETWORKING 2024; 27:571-581. [PMID: 38860351 DOI: 10.1089/cyber.2023.0443] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2024]
Abstract
Deficits in executive functions (EF) are strongly related to real-life functioning and negative symptoms (NS) in schizophrenia. Recently, virtual reality has enabled more ecologically valid approaches to assess EF in simulated "real-life" scenarios among which the virtual cooking task (VCT) has gained attention. However, the clinical implications of the VCT in schizophrenia have not been investigated exhaustively. In this study, clinically stable individuals with schizophrenia (n = 38) and healthy controls (n = 42) completed a novel VCT and a set of computerized standard EF tools (CST) to primarily investigate concurrent and discriminant validity. In addition, the study explored links between EF assessments, functioning, and NS while controlling for antipsychotic intake, clinical stability, and age. This VCT consisted of four tasks with increasing difficulty and time constraints. The most relevant findings indicate that (1) the VCT showed moderate to strong correlations with CST, (2) the VCT discriminated EF performance between both the groups, (3) the VCT predicted interpersonal functioning, and (4) the VCT predicted NS in greater extent than CST. Accordingly, the findings give support to the concurrent and discriminant validity of the VCT to assess EF and indicate its value to deepen the study of collateral functional deficits and NS in schizophrenia.
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Affiliation(s)
- Asier Adriasola
- Division of Psychiatry and Clinical Psychology, La Fe University and Polytechnic Hospital, Valencia, Spain
| | - Sergio C Torres
- Human-Centred Technology Institute (Human-tech), Polytechnic University of Valencia, Valencia, Spain
| | - Yolanda Cañada
- Division of Psychiatry and Clinical Psychology, La Fe University and Polytechnic Hospital, Valencia, Spain
- Mental Health Research Group, La Fe Health Research Institute, Valencia, Spain
| | | | - Ana García-Blanco
- Division of Psychiatry and Clinical Psychology, La Fe University and Polytechnic Hospital, Valencia, Spain
- Mental Health Research Group, La Fe Health Research Institute, Valencia, Spain
- Department of Psychology, University of Valencia, Valencia, Spain
| | - Pilar Sierra
- Division of Psychiatry and Clinical Psychology, La Fe University and Polytechnic Hospital, Valencia, Spain
- Mental Health Research Group, La Fe Health Research Institute, Valencia, Spain
- Department of Medicine, University of Valencia, Valencia, Spain
| | - María López-Cerveró
- Division of Psychiatry and Clinical Psychology, La Fe University and Polytechnic Hospital, Valencia, Spain
| | - Blanes Rodríguez Chloe
- Division of Psychiatry and Clinical Psychology, La Fe University and Polytechnic Hospital, Valencia, Spain
| | - Pablo Navalón
- Division of Psychiatry and Clinical Psychology, La Fe University and Polytechnic Hospital, Valencia, Spain
- Mental Health Research Group, La Fe Health Research Institute, Valencia, Spain
| | - Alcañiz Raya Mariano
- Human-Centred Technology Institute (Human-tech), Polytechnic University of Valencia, Valencia, Spain
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Birdi A, Tomo S, Sharma M, Yadav P, Charan J, Sharma P, Yadav D. Association of Klotho with Neuropsychiatric Disorder: A Meta-Analysis. Indian J Clin Biochem 2024; 39:429-437. [PMID: 39005867 PMCID: PMC11239616 DOI: 10.1007/s12291-023-01132-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Accepted: 03/08/2023] [Indexed: 04/07/2023]
Abstract
Neuropsychiatric disorders are mainly concerned with the behavioural, emotional and cognition symptoms that may be due to disturbed cerebral functions or extracerebral disease. Klotho protein is an antiaging protein that is mostly associated with cognitive changes in these disorders and thus this meta-analysis is conducted in order to find Klotho proteins association with these disorders. We searched related topics in pubmed, by using the key word i.e. Klotho and related disorder from neuropsychiatry e.g. Klotho levels and schizophrenia, Klotho levels and parkinsonism etc. Total 82 studies were found till 9th February 2021 after extensive search and 10 studies were selected for further analysis. The meta-analysis of studies was performed using the Random effect model. The forest plot represented each study in the meta-analysis, so as to make the comparison of SMD value across studies. The meta-analysis outcome demonstrated that overall schizophrenia had higher klotho levels as compared with bipolar disorder, psychosocial stress, parkinsonism, multiple sclerosis, depression, Alzheimer's disease, and healthy controls, followed by MS. The meta-analysis also found that bipolar disorder and Alzheimer's disease were associated with low klotho levels as compared to schizophrenia. The results indicate a significant association of the klotho levels and schizophrenia. Further studies are needed to characterize the potential biological roles of klotho levels in psychiatric disorders.
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Affiliation(s)
- Amandeep Birdi
- Department of Biochemistry, All India Institute of Medical Sciences, Jodhpur, India
| | - Sojit Tomo
- Department of Biochemistry, All India Institute of Medical Sciences, Jodhpur, India
| | - Monika Sharma
- Department of Bioscience and Bioengineering, IIT Jodhpur, Jodhpur, India
| | - Pankaj Yadav
- Department of Bioscience and Bioengineering, IIT Jodhpur, Jodhpur, India
| | - Jaykaran Charan
- Department of Pharmacology, All India Institute of Medical Sciences, Jodhpur, India
| | - Praveen Sharma
- Department of Biochemistry, All India Institute of Medical Sciences, Jodhpur, India
| | - Dharmveer Yadav
- Department of Biochemistry, All India Institute of Medical Sciences, Jodhpur, India
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R S, Jetty RR, Kaki A, Gunapalli SK, N PK, R AS. Assessment of Cognitive Functions Among Remitted Patients of Schizophrenia and Bipolar Disorder: A Comparative Study. Cureus 2024; 16:e64296. [PMID: 39131022 PMCID: PMC11316689 DOI: 10.7759/cureus.64296] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2024] [Accepted: 07/10/2024] [Indexed: 08/13/2024] Open
Abstract
Introduction Bipolar disorder and schizophrenia exhibit different patterns of cognitive impairment, with schizophrenia demonstrating more profound deficiencies in verbal memory and bipolar disorder in social cognition. Understanding these patterns may guide the development of interventions to enhance cognition in these disorders. Aim This study aims to assess and compare the cognitive abilities of persons diagnosed with bipolar illness and schizophrenia. Methodology A facility-based cross-sectional study was done from December 2016 to June 2017 among 30 schizophrenia and 30 bipolar disorder patients aged 18-45 years, in remission selected after screening through Hamilton Depression Rating Scale (HDRS), Young Mania Rating Scale (YMRS), or Positive and Negative Syndrome Scale (PANSS). Exclusions included schizoaffective disorder, systemic illness, brain/neurological conditions, and substance abuse. After collecting the baseline demographic and clinical profile of the selected patients, the cognitive domains were assessed such as attention (digit span), verbal memory (Rey's Auditory Verbal Learning Test (RAVLT)), visual memory (Rey Complex Figure), verbal fluency (Animal Naming), and executive functions (Stroop and Trail Making). The data was analyzed using the IBM SPSS Statistics for Windows, Version 16 (Released 2007; IBM Corp., Armonk, New York, United States) using standard descriptive and inferential statistics. Results Sociodemographic and clinical characteristics were largely similar between groups. Schizophrenia patients showed poorer attention, working memory, and visual attention/task-switching compared to bipolar patients. Bipolar patients demonstrated relatively preserved abilities in these domains but exhibited more impairments in visual and verbal memory. Distinct patterns highlight unique neurobiological underpinnings, showing association of more generalized cognitive deficits in schizophrenia and more localized impairments in memory functions in bipolar disorder. Conclusion The study findings explain these disorders' unique neurobiological mechanisms and may help develop targeted cognitive remediation and pharmacological interventions to improve functional outcomes and quality of life.
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Affiliation(s)
- Selvameenatchi R
- Psychiatry, Sri Ramaswamy Memorial (SRM) Medical College Hospital and Research Center, Chennai, IND
| | - Ramya Rachel Jetty
- Psychiatry, Sri Ramaswamy Memorial (SRM) Medical College Hospital and Research Center, SRM Institute of Science and Technology, Chennai, IND
| | - Aruna Kaki
- Psychiatry, Sri Ramaswamy Memorial (SRM) Medical College Hospital and Research Center, Chennai, IND
| | | | | | - Arul Saravanan R
- Psychiatry, Sri Ramaswamy Memorial (SRM) Medical College Hospital and Research Center, SRM Institute of Science and Technology, Chennai, IND
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Frileux S, Boltri M, Doré J, Leboyer M, Roux P. Cognition and gut microbiota in schizophrenia spectrum and mood disorders: A systematic review. Neurosci Biobehav Rev 2024; 162:105722. [PMID: 38754717 DOI: 10.1016/j.neubiorev.2024.105722] [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] [Received: 02/01/2024] [Revised: 04/11/2024] [Accepted: 05/10/2024] [Indexed: 05/18/2024]
Abstract
FRILEUX, M., BOLTRI M. and al. Cognition and Gut microbiota in schizophrenia spectrum and mood disorders: a Systematic Review. NEUROSCI BIOBEHAV REV (1) 2024 Schizophrenia spectrum disorders and major mood disorders are associated with cognitive impairments. Recent studies suggest a link between gut microbiota composition and cognitive functioning. Here, we review the relationship between gut microbiota and cognition in these disorders. To do this, we conducted a systematic review, searching Cochrane Central Register of Controlled Trials, EBSCOhost, Embase, Pubmed, Scopus, and Web of Science. Studies were included if they investigated the relationship between gut microbiota composition and cognitive function through neuropsychological assessments in patients with bipolar, depressive, schizophrenia spectrum, and other psychotic disorders. Ten studies were identified. Findings underscore a link between gut dysbiosis and cognitive impairment. This relationship identified specific taxa (Haemophilus, Bacteroides, and Alistipes) as potential contributors to bolstered cognitive performance. Conversely, Candida albicans, Toxoplasma gondii, Streptococcus and Deinococcus were associated with diminished performance on cognitive assessments. Prebiotics and probiotics interventions were associated with cognitive enhancements, particularly executive functions. These results emphasize the role of gut microbiota in cognition, prompting further exploration of the underlying mechanisms paving the way toward precision psychiatry.
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Affiliation(s)
- S Frileux
- Service Hospitalo-Universitaire de Psychiatrie d'Adultes et d'Addictologie, Centre Hospitalier de Versailles, 177, rue de Versailles, Le Chesnay-Rocquencourt 78157, France; Université Paris-Saclay, Université Versailles Saint-Quentin-En-Yvelines, DisAP-DevPsy-CESP, INSERM UMR1018, Villejuif 94807, France.
| | - M Boltri
- Department of Psychology, Catholic University of Sacred Heart, Milan, Italy; I.R.C.C.S. Istituto Auxologico Italiano, Experimental Laboratory for Metabolic Neurosciences Research, Piancavallo, Italy
| | - J Doré
- Université Paris-Saclay, INRA, MetaGenoPolis, AgroParisTech, MICALIS, Jouy-en-Josas 78350, France
| | - M Leboyer
- Inserm U955 IMRB, Translational Neuropsychiatry Laboratory, AP-HP, DMU IMPACT, Fédération Hospitalo-Universitaire de médecine de précision en psychiatrie (FHU ADAPT), Paris Est Créteil University and Fondation FondaMental, Créteil 94010, France; Fondation Fondamental, Créteil 94010, France
| | - P Roux
- Service Hospitalo-Universitaire de Psychiatrie d'Adultes et d'Addictologie, Centre Hospitalier de Versailles, 177, rue de Versailles, Le Chesnay-Rocquencourt 78157, France; Université Paris-Saclay, Université Versailles Saint-Quentin-En-Yvelines, DisAP-DevPsy-CESP, INSERM UMR1018, Villejuif 94807, France
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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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García-León MÁ, Fuentes-Claramonte P, Soler-Vidal J, Ramiro-Sousa N, Salgado-Pineda P, Salavert J, Torres L, Guerrero-Pedraza A, Tristany J, Karuk A, Barbosa L, Del Olmo-Encabo P, Canut-Altemir P, Munuera J, Sarró S, Salvador R, McKenna PJ, Pomarol-Clotet E. Cortical volume abnormalities in schizophrenia: Correlations with symptoms and cognitive impairment. Schizophr Res 2024; 266:50-57. [PMID: 38368705 DOI: 10.1016/j.schres.2024.01.031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 01/10/2024] [Accepted: 01/22/2024] [Indexed: 02/20/2024]
Abstract
BACKGROUND Schizophrenic symptoms are known to segregate into reality distortion, negative and disorganization syndromes, but the correlates of these syndromes with regional brain structural change are not well established. Cognitive impairment is a further clinical feature of schizophrenia, whose brain structural correlates are the subject of conflicting findings. METHODS 165 patients with schizophrenia were rated for symptoms using the PANSS, and cognitive impairment was indexed by estimated premorbid-current IQ discrepancy. Cortical volume was measured using surface-based morphometry in the patients and in 50 healthy controls. Correlations between clinical and cognitive measures and cortical volume were examined using whole-brain FreeSurfer tools. RESULTS No clusters of volume reduction were seen associated with reality distortion or disorganization. Negative symptom scores showed a significant inverse correlation with volume in a small cluster in the left medial orbitofrontal gyrus. Larger estimated premorbid-current IQ discrepancies were associated with clusters of reduced cortical volume in the left precentral gyrus and the left temporal lobe. The cluster of association with negative symptoms disappeared when estimated premorbid-current IQ discrepancy was controlled for. CONCLUSIONS This study does not provide support for an association between brain structural abnormality and reality distortion or disorganization syndromes in schizophrenia. The cluster of volume reduction found in the left medial orbitofrontal cortex correlated with negative symptoms may have reflected the association between this class of symptoms and cognitive impairment. The study adds to existing findings of an association between cognitive impairment and brain structural changes in the disorder.
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Affiliation(s)
- María Ángeles García-León
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain; CIBERSAM, ISCIII, Barcelona, Spain.
| | - Paola Fuentes-Claramonte
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain; CIBERSAM, ISCIII, Barcelona, Spain
| | - Joan Soler-Vidal
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain; CIBERSAM, ISCIII, Barcelona, Spain; Benito Menni CASM, Sant Boi de Llobregat, Barcelona, Spain
| | | | - Pilar Salgado-Pineda
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain; CIBERSAM, ISCIII, Barcelona, Spain
| | | | | | | | | | - Andriana Karuk
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain
| | - Lucila Barbosa
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain
| | | | | | - Josep Munuera
- Diagnostic Imaging Department, Hospital Sant Joan de Déu, Barcelona, Spain
| | - Salvador Sarró
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain; CIBERSAM, ISCIII, Barcelona, Spain
| | - Raymond Salvador
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain; CIBERSAM, ISCIII, Barcelona, Spain
| | - Peter J McKenna
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain; CIBERSAM, ISCIII, Barcelona, Spain.
| | - Edith Pomarol-Clotet
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain; CIBERSAM, ISCIII, Barcelona, Spain
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Andreassen AK, Lambek R, Greve A, Hemager N, Knudsen CB, Veddum L, Birk M, Søndergaard A, Brandt JM, Gregersen M, Falkenberg-Krantz M, Spang KS, Ohland J, Burton BK, Jepsen JRM, Thorup AAE, Nordentoft M, Mors O, Bliksted VF. The development in rating-based executive functions in children at familial high risk of schizophrenia or bipolar disorder from age 7 to age 11: the Danish high risk and resilience study. Eur Child Adolesc Psychiatry 2024; 33:549-560. [PMID: 36881155 DOI: 10.1007/s00787-023-02177-w] [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: 02/07/2022] [Accepted: 02/23/2023] [Indexed: 03/08/2023]
Abstract
Executive functions (EF) deficits are well documented in children at familial high risk of schizophrenia (FHR-SZ), and to a lesser degree in children at familial high risk of bipolar disorder (FHR-BP). The aim of this study was to assess EF development in preadolescent children at FHR-SZ, FHR-BP and population-based controls (PBC) using a multi-informant rating scale. A total of 519 children (FHR-SZ, n = 201; FHR-BP, n = 119; PBC, n = 199) participated at age 7, at age 11 or at both time points. Caregivers and teachers completed the Behavior Rating Inventory of Executive Functions (BRIEF). The developmental pattern from age 7 to age 11, did not differ between groups. At age 11, caregivers and teachers rated children at FHR-SZ as having widespread EF deficits. A higher proportion of children at FHR-SZ had clinically significant scores on the General executive composite (GEC) and all BRIEF indices compared to PBC. According to the caregivers, children at FHR-BP had significantly more EF deficits than PBC on 9 out of 13 BRIEF scales, whereas according to teachers, they only had significantly more deficits on one subdomain (Initiate). Likewise, caregivers rated a significantly higher proportion of children at FHR-BP above the clinical cut-off on the GEC and Metacognition index, compared to PBC, whereas there were no significant differences according to teachers. This study highlights the relevance of including multi-informant rating scales in the assessment of EF in children at FHR-SZ and FHR-BP. The results imply a need to identify children at high risk who would benefit from targeted intervention.
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Affiliation(s)
- Anna Krogh Andreassen
- Psychosis Research Unit, Aarhus University Hospital Psychiatry, Aarhus, Denmark.
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark.
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
| | - Rikke Lambek
- Department of Psychology and Behavioral Sciences, Aarhus University, Aarhus, Denmark
| | - Aja Greve
- Psychosis Research Unit, Aarhus University Hospital Psychiatry, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
| | - Nicoline Hemager
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- CORE - Copenhagen Research Centre for Mental Health, Mental Health Services in the Capital Region of Denmark, Mental Health Centre Copenhagen, Copenhagen, Denmark
- Child and Adolescent Mental Health Center, Capital Region of Denmark, Copenhagen, Denmark
| | - Christina Bruun Knudsen
- Psychosis Research Unit, Aarhus University Hospital Psychiatry, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Lotte Veddum
- Psychosis Research Unit, Aarhus University Hospital Psychiatry, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Merete Birk
- Psychosis Research Unit, Aarhus University Hospital Psychiatry, Aarhus, Denmark
| | - Anne Søndergaard
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- CORE - Copenhagen Research Centre for Mental Health, Mental Health Services in the Capital Region of Denmark, Mental Health Centre Copenhagen, Copenhagen, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Julie Marie Brandt
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- CORE - Copenhagen Research Centre for Mental Health, Mental Health Services in the Capital Region of Denmark, Mental Health Centre Copenhagen, Copenhagen, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Maja Gregersen
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- CORE - Copenhagen Research Centre for Mental Health, Mental Health Services in the Capital Region of Denmark, Mental Health Centre Copenhagen, Copenhagen, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Mette Falkenberg-Krantz
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- CORE - Copenhagen Research Centre for Mental Health, Mental Health Services in the Capital Region of Denmark, Mental Health Centre Copenhagen, Copenhagen, Denmark
- Child and Adolescent Mental Health Center, Capital Region of Denmark, Copenhagen, Denmark
| | - Katrine Søborg Spang
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- CORE - Copenhagen Research Centre for Mental Health, Mental Health Services in the Capital Region of Denmark, Mental Health Centre Copenhagen, Copenhagen, Denmark
- Child and Adolescent Mental Health Center, Capital Region of Denmark, Copenhagen, Denmark
| | - Jessica Ohland
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- CORE - Copenhagen Research Centre for Mental Health, Mental Health Services in the Capital Region of Denmark, Mental Health Centre Copenhagen, Copenhagen, Denmark
| | - Birgitte Klee Burton
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Child and Adolescent Mental Health Center, Capital Region of Denmark, Copenhagen, Denmark
| | - Jens Richardt Møllegaard Jepsen
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- CORE - Copenhagen Research Centre for Mental Health, Mental Health Services in the Capital Region of Denmark, Mental Health Centre Copenhagen, Copenhagen, Denmark
- Child and Adolescent Mental Health Center, Capital Region of Denmark, Copenhagen, Denmark
- Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Services in the Capital Region of Denmark, Copenhagen, Denmark
| | - Anne Amalie Elgaard Thorup
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Child and Adolescent Mental Health Center, Capital Region of Denmark, Copenhagen, Denmark
| | - Merete Nordentoft
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- CORE - Copenhagen Research Centre for Mental Health, Mental Health Services in the Capital Region of Denmark, Mental Health Centre Copenhagen, Copenhagen, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Ole Mors
- Psychosis Research Unit, Aarhus University Hospital Psychiatry, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
| | - Vibeke Fuglsang Bliksted
- Psychosis Research Unit, Aarhus University Hospital Psychiatry, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
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10
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Catalan A, McCutcheon RA, Aymerich C, Pedruzo B, Radua J, Rodríguez V, Salazar de Pablo G, Pacho M, Pérez JL, Solmi M, McGuire P, Giuliano AJ, Stone WS, Murray RM, Gonzalez-Torres MA, Fusar-Poli P. The magnitude and variability of neurocognitive performance in first-episode psychosis: a systematic review and meta-analysis of longitudinal studies. Transl Psychiatry 2024; 14:15. [PMID: 38191534 PMCID: PMC10774360 DOI: 10.1038/s41398-023-02718-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 12/05/2023] [Accepted: 12/14/2023] [Indexed: 01/10/2024] Open
Abstract
Neurocognitive deficits are a core feature of psychotic disorders, but it is unclear whether they affect all individuals uniformly. The aim of this systematic review and meta-analysis was to synthesize the evidence on the magnitude, progression, and variability of neurocognitive functioning in individuals with first-episode psychosis (FEP). A multistep literature search was conducted in several databases up to November 1, 2022. Original studies reporting on neurocognitive functioning in FEP were included. The researchers extracted the data and clustered the neurocognitive tasks according to the seven Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) domains and six additional domains. Random-effect model meta-analyses, assessment of publication biases and study quality, and meta-regressions were conducted. The primary effect size reported was Hedges g of (1) neurocognitive functioning in individuals at FEP measuring differences with healthy control (HC) individuals or (2) evolution of neurocognitive impairment across study follow-up intervals. Of 30,384 studies screened, 54 were included, comprising 3,925 FEP individuals and 1,285 HC individuals. Variability analyses indicated greater variability in FEP compared to HC at baseline and follow-up. We found better neurocognitive performance in the HC group at baseline and follow-up but no differences in longitudinal neurocognitive changes between groups. Across the 13 domains, individuals with FEP showed improvement from baseline in all studied domains, except for visual memory. Metaregressions showed some differences in several of the studied domains. The findings suggest that individuals with FEP have marked cognitive impairment, but there is greater variability in cognitive functioning in patients than in HC. This suggests that subgroups of individuals suffer severe disease-related cognitive impairments, whereas others may be much less affected. While these impairments seem stable in the medium term, certain indicators may suggest potential further decline in the long term for a specific subgroup of individuals, although more research is needed to clarify this. Overall, this study highlights the need for tailored neurocognitive interventions for individuals with FEP based on their specific deficits and progression.
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Affiliation(s)
- Ana Catalan
- Department of Neuroscience, University of the Basque Country UPV/EHU; Psychiatry Department. Basurto University Hospital; Biobizkaia Health Research Institute; Centro de Investigación en Red de Salud Mental. (CIBERSAM) Instituto de Salud Carlos III , OSI Bilbao-Basurto, Av. Montevideo 18, 48013, Bilbao, Spain.
- Early Psychosis Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
| | - Robert A McCutcheon
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Department of Psychiatry. University of Oxford, Warneford Hospital, Headington, OX3 7JX, UK
- Oxford Health NHS foundation trust, Oxford, UK
| | - Claudia Aymerich
- Department of Neuroscience, University of the Basque CountryUPV/EHU. Psychiatry Department. Basurto University Hospital. BiBiobizkaia Health Research Institute. Centro de Investigaciónen Red de Salud Mental. (CIBERSAM), Instituto de Salud Carlos III, Avenida de Montevideo 18, 48013, Bilbao, Spain
| | - Borja Pedruzo
- Psychiatry Department. Basurto University Hospital, OSI Bilbao-Basurto, Bizkaia, Spain
| | - Joaquim Radua
- Imaging of Mood- and Anxiety-Related Disorders (IMARD) Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Mental Health Research Networking Center (CIBERSAM), Instituto de Salud Carlos III, University of Barcelona, Barcelona, Spain
| | - Victoria Rodríguez
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Gonzalo Salazar de Pablo
- Early Psychosis Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Child and Adolescent Mental Health Services, South London and Maudsley NHS Foundation Trust, London, UK
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health. Hospital General Universitario Gregorio Marañón School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid, Spain
| | - Malein Pacho
- Psychiatry Department. Basurto University Hospital, OSI Bilbao-Basurto, Bizkaia, Spain
| | - Jose Luis Pérez
- Psychiatry Department. Basurto University Hospital, OSI Bilbao-Basurto, Bizkaia, Spain
| | - Marco Solmi
- Charité Universitätsmedizin Berlin, Department of Child and Adolescent Psychiatry, Berlin, Germany
- SCIENCES lab, Department of Psychiatry, University of Ottawa, Ottawa, ON, Canada
- On Track: The Champlain First Episode Psychosis Program, Department of Mental Health, The Ottawa Hospital, Ottawa, ON, Canada
- Ottawa Hospital Research Institute (OHRI) Clinical Epidemiology Program University of Ottawa, Ottawa, ON, Canada
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada
| | - Philip McGuire
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Department of Psychiatry. University of Oxford, Warneford Hospital, Headington, OX3 7JX, UK
| | - Anthony J Giuliano
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - William S Stone
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Robin M Murray
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Miguel Angel Gonzalez-Torres
- Department of Neuroscience, University of the Basque Country UPV/EHU; Psychiatry Department. Basurto University Hospital; Biobizkaia Health Research Institute; Centro de Investigación en Red de Salud Mental. (CIBERSAM) Instituto de Salud Carlos III , OSI Bilbao-Basurto, Av. Montevideo 18, 48013, Bilbao, Spain
| | - Paolo Fusar-Poli
- Early Psychosis Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Department of Brain and Behavioral Sciences, University of Pavia, , Pavia, Italy
- Outreach and Support in South London (OASIS) service, South London and Maudsley NHS Foundation Trust, London, UK
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University Munich, Munich, Germany
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11
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Sklar AL, Yeh FC, Curtis M, Seebold D, Coffman BA, Salisbury DF. Functional and structural connectivity correlates of semantic verbal fluency deficits in first-episode psychosis. J Psychiatr Res 2024; 169:73-80. [PMID: 38000187 PMCID: PMC10843642 DOI: 10.1016/j.jpsychires.2023.11.032] [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: 07/06/2023] [Revised: 10/31/2023] [Accepted: 11/16/2023] [Indexed: 11/26/2023]
Abstract
INTRODUCTION Semantic verbal fluency (SVF) impairments are debilitating and present early in the course of psychotic illness. Deficits within frontal, parietal, and temporal brain regions contribute to this deficit, as long-range communication across this functionally integrated network is critical to SVF. This study sought to isolate disruptions in functional and structural connectivity contributing to SVF deficits during first-episode psychosis in the schizophrenia spectrum (FESz). METHODS Thirty-three FESz and 34 matched healthy controls (HC) completed the Animal Naming Task to assess SVF. Magnetoencephalography was recorded during an analogous covert SVF task, and phase-locking value (PLV) used to measure functional connectivity between inferior frontal and temporoparietal structures bilaterally. Diffusion imaging was collected to measure fractional anisotropy (FA) of the arcuate fasciculus, the major tract connecting frontal and temporoparietal language areas. RESULTS SVF scores were lower among FESz compared to HC. While PLV and FA did not differ between groups overall, FESz exhibited an absence of the left-lateralized nature of both measures observed in HC. Among FESz, larger right-hemisphere PLV was associated with worse SVF performance (ρ = -0.51) and longer DUP (ρ = -0.50). DISCUSSION In addition to worse SVF, FESz exhibited diminished leftward asymmetry of structural and functional connectivity in fronto-temporoparietal SVF network. The relationship between theta-band hyperconnectivity and poorer performance suggests a disorganized executive network and may reflect dysfunction of frontal cognitive control centers. These findings illustrate an aberrant pattern across the distributed SVF network at disease onset and merit further investigation into development of asymmetrical hemispheric connectivity and its failure among high-risk populations.
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Affiliation(s)
- Alfredo L Sklar
- University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA, USA
| | - Fang-Cheng Yeh
- University of Pittsburgh School of Medicine, Department of Neurological Surgery, Pittsburgh, PA, USA
| | - Mark Curtis
- University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA, USA
| | - Dylan Seebold
- University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA, USA
| | - Brian A Coffman
- University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA, USA
| | - Dean F Salisbury
- University of Pittsburgh School of Medicine, Department of Psychiatry, Pittsburgh, PA, USA.
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12
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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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13
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Zhuo C, Tian H, Song X, Jiang D, Chen G, Cai Z, Ping J, Cheng L, Zhou C, Chen C. Microglia and cognitive impairment in schizophrenia: translating scientific progress into novel therapeutic interventions. SCHIZOPHRENIA (HEIDELBERG, GERMANY) 2023; 9:42. [PMID: 37429882 DOI: 10.1038/s41537-023-00370-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Accepted: 06/21/2023] [Indexed: 07/12/2023]
Abstract
Cognitive impairment is a core clinical feature of schizophrenia, exerting profound adverse effects on social functioning and quality of life in a large proportion of patients with schizophrenia. However, the mechanisms underlying the pathogenesis of schizophrenia-related cognitive impairment are not well understood. Microglia, the primary resident macrophages in the brain, have been shown to play important roles in psychiatric disorders, including schizophrenia. Increasing evidence has revealed excessive microglial activation in cognitive deficits related to a broad range of diseases and medical conditions. Relative to that about age-related cognitive deficits, current knowledge about the roles of microglia in cognitive impairment in neuropsychiatric disorders, such as schizophrenia, is limited, and such research is in its infancy. Thus, we conducted this review of the scientific literature with a focus on the role of microglia in schizophrenia-associated cognitive impairment, aiming to gain insight into the roles of microglial activation in the onset and progression of such impairment and to consider how scientific advances could be translated to preventive and therapeutic interventions. Research has demonstrated that microglia, especially those in the gray matter of the brain, are activated in schizophrenia. Upon activation, microglia release key proinflammatory cytokines and free radicals, which are well-recognized neurotoxic factors contributing to cognitive decline. Thus, we propose that the inhibition of microglial activation holds potential for the prevention and treatment of cognitive deficits in patients with schizophrenia. This review identifies potential targets for the development of new treatment strategies and eventually the improvement of care for these patients. It might also help psychologists and clinical investigators in planning future research.
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Affiliation(s)
- Chuanjun Zhuo
- Key Laboratory of Sensory Information Processing Abnormalities in Schizophrenia (SIPAS-Lab), Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin Medical University Affiliated Tianjin Fourth Center Hospital, Tianjin Fourth Center Hospital, Tianjin, China.
- Laboratory of Psychiatric-Neuroimaging-Genetic and Co-morbidity (PNGC-Lab), Nankai University Affiliated Tianjin Anding Hospital, Tianjin Mental Health Center of Tianjin Medical University, Tianjin Anding Hospital, 300222, Tianjin, China.
- Department of Psychiatry, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
- Department of Psychiatry, Wenzhou Seventh peoples Hospital, Wenzhou, China.
| | - Hongjun Tian
- Key Laboratory of Sensory Information Processing Abnormalities in Schizophrenia (SIPAS-Lab), Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin Medical University Affiliated Tianjin Fourth Center Hospital, Tianjin Fourth Center Hospital, Tianjin, China
| | - Xueqin Song
- Department of Psychiatry, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan International Joint Laboratory of Biological Psychiatry, Zhengzhou, China
- Henan Psychiatric Transformation Research Key Laboratory, Zhengzhou University, Zhengzhou, China
| | - Deguo Jiang
- Department of Psychiatry, Wenzhou Seventh peoples Hospital, Wenzhou, China
| | - Guangdong Chen
- Department of Psychiatry, Wenzhou Seventh peoples Hospital, Wenzhou, China
| | - Ziyao Cai
- Department of Psychiatry, Wenzhou Seventh peoples Hospital, Wenzhou, China
| | - Jing Ping
- Department of Psychiatry, Wenzhou Seventh peoples Hospital, Wenzhou, China
| | - Langlang Cheng
- Department of Psychiatry, Wenzhou Seventh peoples Hospital, Wenzhou, China
| | - Chunhua Zhou
- Department of Pharmacology, The First Hospital of Hebei Medical University, Shijiazhuang, China.
| | - Chunmian Chen
- Department of Psychiatry, Wenzhou Seventh peoples Hospital, Wenzhou, China
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14
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Miskowiak KW, Kjærstad HL, Lemvigh CK, Ambrosen KS, Thorvald MS, Kessing LV, Glenthoj BY, Ebdrup BH, Fagerlund B. Neurocognitive subgroups among newly diagnosed patients with schizophrenia spectrum or bipolar disorders: A hierarchical cluster analysis. J Psychiatr Res 2023; 163:278-287. [PMID: 37244066 DOI: 10.1016/j.jpsychires.2023.05.025] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Revised: 03/16/2023] [Accepted: 05/01/2023] [Indexed: 05/29/2023]
Abstract
Studies across schizophrenia (SZ) and bipolar disorder (BD) indicate common transdiagnostic neurocognitive subgroups. However, existing studies of patients with long-term illness precludes insight into whether impairments result from effects of chronic illness, medication or other factors. This study aimed to investigate whether neurocognitive subgroups across SZ and BD can be demonstrated during early illness stages. Data from overlapping neuropsychological tests were pooled from cohort studies of antipsychotic-naïve patients with first-episode SZ spectrum disorders (n = 150), recently diagnosed BD (n = 189) or healthy controls (HC) (n = 280). Hierarchical cluster analysis was conducted to examine if transdiagnostic subgroups could be identified based on the neurocognitive profile. Patterns of cognitive impairments and patient characteristics across subgroups were examined. Patients could be clustered into two, three and four subgroups, of which the three-cluster solution (with 83% accuracy) was selected for posthoc analyses. This solution revealed a subgroup covering 39% of patients (predominantly BD) who were cognitively relatively intact, a subgroup of 33% of patients (more equal distributions of SZ and BD) displaying selective deficits, particularly in working memory and processing speed, and a subgroup of 28% (mainly SZ) with global impairments. The globally impaired group exhibited lower estimated premorbid intelligence than the other subgroups. Globally impaired BD patients also showed more functional disability than cognitively relatively intact patients. No differences were observed across subgroups in symptoms or medications. Neurocognitive results can be understood by clustering analysis with similar clustering solutions occurring across diagnoses. The subgroups were not explained by clinical symptoms or medication, suggesting neurodevelopmental origins.
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Affiliation(s)
- K W Miskowiak
- Copenhagen Affective Disorder Research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark; Neurocognition and Emotion in Affective Disorders (NEAD) Centre, Department of Psychology, University of Copenhagen, and Mental Health Services, Capital Region of Denmark, Copenhagen, Denmark.
| | - H L Kjærstad
- Copenhagen Affective Disorder Research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark; Neurocognition and Emotion in Affective Disorders (NEAD) Centre, Department of Psychology, University of Copenhagen, and Mental Health Services, Capital Region of Denmark, Copenhagen, Denmark
| | - C K Lemvigh
- Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS)/Center for Neuropsychiatric Schizophrenia Research (CNSR), Mental Health Center Glostrup, Copenhagen University Hospital, Glostrup, Denmark
| | - K S Ambrosen
- Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS)/Center for Neuropsychiatric Schizophrenia Research (CNSR), Mental Health Center Glostrup, Copenhagen University Hospital, Glostrup, Denmark
| | - M S Thorvald
- Neurocognition and Emotion in Affective Disorders (NEAD) Centre, Department of Psychology, University of Copenhagen, and Mental Health Services, Capital Region of Denmark, Copenhagen, Denmark
| | - L V Kessing
- Copenhagen Affective Disorder Research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - B Y Glenthoj
- Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS)/Center for Neuropsychiatric Schizophrenia Research (CNSR), Mental Health Center Glostrup, Copenhagen University Hospital, Glostrup, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - B H Ebdrup
- Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS)/Center for Neuropsychiatric Schizophrenia Research (CNSR), Mental Health Center Glostrup, Copenhagen University Hospital, Glostrup, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - B Fagerlund
- Neurocognition and Emotion in Affective Disorders (NEAD) Centre, Department of Psychology, University of Copenhagen, and Mental Health Services, Capital Region of Denmark, Copenhagen, Denmark; Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS)/Center for Neuropsychiatric Schizophrenia Research (CNSR), Mental Health Center Glostrup, Copenhagen University Hospital, Glostrup, Denmark
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15
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Knudsen CB, Hemager N, Jepsen JRM, Gregersen M, Greve AN, Andreassen AK, Veddum L, Brandt JM, Krantz MF, Søndergaard A, Burton BK, Thorup AAE, Nordentoft M, Lambek R, Mors O, Bliksted VF. Early Childhood Neurocognition in Relation to Middle Childhood Psychotic Experiences in Children at Familial High Risk of Schizophrenia or Bipolar Disorder and Population-Based Controls: The Danish High Risk and Resilience Study. Schizophr Bull 2023; 49:756-767. [PMID: 36548470 PMCID: PMC10154705 DOI: 10.1093/schbul/sbac198] [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] [Indexed: 12/24/2022]
Abstract
BACKGROUND AND HYPOTHESIS Familial high-risk (FHR) studies examining longitudinal associations between neurocognition and psychotic experiences are currently lacking. We hypothesized neurocognitive impairments at age 7 to be associated with increased risk of psychotic experiences from age 7 to 11 in children at familial high risk of schizophrenia (FHR-SZ) or bipolar disorder (FHR-BP) and population-based controls (PBC), and further, impaired functioning in some neurocognitive functions to be associated with greater risk of psychotic experiences in children at FHR-SZ or FHR-BP relative to PBC. STUDY DESIGN Neurocognition was assessed at age 7 (early childhood) and psychotic experiences from age 7 to 11 (middle childhood) in 449 children from the Danish High Risk and Resilience Study. The neurocognitive assessment covered intelligence, processing speed, attention, visuospatial and verbal memory, working memory, and set-shifting. Psychotic experiences were assessed through face-to-face interviews with the primary caregiver and the child. STUDY RESULTS Set-shifting impairments at age 7 were associated with greater risk of psychotic experiences from age 7 to 11 in children at FHR-SZ. Children at FHR-BP and PBC showed no differential associations. Working memory and visuospatial memory impairments were related to increased risk of psychotic experiences across the cohort. However, adjusting for concurrent psychopathology attenuated these findings. CONCLUSIONS Early childhood neurocognitive impairments are risk markers of middle childhood psychotic experiences, of which impaired set-shifting appears to further increase the risk of psychotic experiences in children at FHR-SZ. More research is needed to examine longitudinal associations between neurocognitive impairments and psychotic experiences in FHR samples.
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Affiliation(s)
- Christina Bruun Knudsen
- Psychosis Research Unit, Aarhus University Hospital – Psychiatry, Børglumvej 5, 1st floor, 8240 Risskov, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research – iPSYCH, Aarhus, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, Aarhus University, Aarhus, Denmark
| | - Nicoline Hemager
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research – iPSYCH, Aarhus, Denmark
- CORE – Copenhagen Research Centre for Mental Health, Mental Health Services in the Capital Region of Denmark, Mental Health Centre Copenhagen, Copenhagen, Denmark
- Child and Adolescent Mental Health Center, Copenhagen University Hospital – Mental Health Services CPH, Copenhagen, Denmark
| | - Jens Richardt Møllegaard Jepsen
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research – iPSYCH, Aarhus, Denmark
- CORE – Copenhagen Research Centre for Mental Health, Mental Health Services in the Capital Region of Denmark, Mental Health Centre Copenhagen, Copenhagen, Denmark
- Child and Adolescent Mental Health Center, Copenhagen University Hospital – Mental Health Services CPH, Copenhagen, Denmark
- Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS) and Center for Neuropsychiatric Schizophrenia Research (CNSR), Mental Health Center, Glostrup, Copenhagen University Hospital – Mental Health Services CPH, Copenhagen, Denmark
| | - Maja Gregersen
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research – iPSYCH, Aarhus, Denmark
- CORE – Copenhagen Research Centre for Mental Health, Mental Health Services in the Capital Region of Denmark, Mental Health Centre Copenhagen, Copenhagen, Denmark
| | - Aja Neergaard Greve
- Psychosis Research Unit, Aarhus University Hospital – Psychiatry, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research – iPSYCH, Aarhus, Denmark
| | - Anna Krogh Andreassen
- Psychosis Research Unit, Aarhus University Hospital – Psychiatry, Børglumvej 5, 1st floor, 8240 Risskov, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research – iPSYCH, Aarhus, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, Aarhus University, Aarhus, Denmark
| | - Lotte Veddum
- Psychosis Research Unit, Aarhus University Hospital – Psychiatry, Børglumvej 5, 1st floor, 8240 Risskov, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research – iPSYCH, Aarhus, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, Aarhus University, Aarhus, Denmark
| | - Julie Marie Brandt
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research – iPSYCH, Aarhus, Denmark
- CORE – Copenhagen Research Centre for Mental Health, Mental Health Services in the Capital Region of Denmark, Mental Health Centre Copenhagen, Copenhagen, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Mette Falkenberg Krantz
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research – iPSYCH, Aarhus, Denmark
- CORE – Copenhagen Research Centre for Mental Health, Mental Health Services in the Capital Region of Denmark, Mental Health Centre Copenhagen, Copenhagen, Denmark
- Child and Adolescent Mental Health Center, Copenhagen University Hospital – Mental Health Services CPH, Copenhagen, Denmark
| | - Anne Søndergaard
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research – iPSYCH, Aarhus, Denmark
- CORE – Copenhagen Research Centre for Mental Health, Mental Health Services in the Capital Region of Denmark, Mental Health Centre Copenhagen, Copenhagen, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Birgitte Klee Burton
- Child and Adolescent Mental Health Center, Copenhagen University Hospital – Mental Health Services CPH, Copenhagen, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Child and Adolescent Psychiatry, Copenhagen University Hospital – Psychiatry Region Zealand, Roskilde, Denmark
| | - Anne Amalie Elgaard Thorup
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research – iPSYCH, Aarhus, Denmark
- Child and Adolescent Mental Health Center, Copenhagen University Hospital – Mental Health Services CPH, Copenhagen, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Merete Nordentoft
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research – iPSYCH, Aarhus, Denmark
- CORE – Copenhagen Research Centre for Mental Health, Mental Health Services in the Capital Region of Denmark, Mental Health Centre Copenhagen, Copenhagen, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Rikke Lambek
- Department of Psychology and Behavioral Sciences, Aarhus University, Aarhus, Denmark
| | - Ole Mors
- Psychosis Research Unit, Aarhus University Hospital – Psychiatry, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research – iPSYCH, Aarhus, Denmark
| | - Vibeke Fuglsang Bliksted
- Psychosis Research Unit, Aarhus University Hospital – Psychiatry, Børglumvej 5, 1st floor, 8240 Risskov, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research – iPSYCH, Aarhus, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, Aarhus University, Aarhus, Denmark
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16
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Li X, Deng W, Xue R, Wang Q, Ren H, Wei W, Zhang Y, Li M, Zhao L, Du X, Meng Y, Ma X, Hall MH, Li T. Auditory event-related potentials, neurocognition, and global functioning in drug naïve first-episode schizophrenia and bipolar disorder. Psychol Med 2023; 53:785-794. [PMID: 34474699 DOI: 10.1017/s0033291721002130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
BACKGROUND Deficits in event-related potential (ERP) including duration mismatch negativity (MMN) and P3a have been demonstrated widely in chronic schizophrenia (SZ) but inconsistent findings were reported in first-episode patients. Psychotropic medications and diagnosis might contribute to different findings on MMN/P3a ERP in first-episode patients. The present study examined MMN and P3a in first episode drug naïve SZ and bipolar disorder (BPD) patients and explored the relationships among ERPs, neurocognition and global functioning. METHODS Twenty SZ, 24 BPD and 49 age and sex-matched healthy controls were enrolled in this study. Data of clinical symptoms [Positive and Negative Symptoms Scale (PANSS), Young Manic Rating Scale (YMRS), Hamilton Depression Rating Scale (HAMD)], neurocognition [Wechsler Adult Intelligence Scale (WAIS), Cattell's Culture Fair Intelligence Test (CCFT), Delay Matching to Sample (DMS), Rapid Visual Information Processing (RVP)], and functioning [Functioning Assessment Short Test (FAST)] were collected. P3a and MMN were elicited using a passive auditory oddball paradigm. RESULTS Significant MMN and P3a deficits and impaired neurocognition were found in both SZ and BPD patients. In SZ, MMN was significantly correlated with FAST (r = 0.48) and CCFT (r = -0.31). In BPD, MMN was significantly correlated with DMS (r = -0.54). For P3a, RVP and FAST scores were significant predictors in SZ, whereas RVP, WAIS and FAST were significant predictors in BPD. CONCLUSIONS The present study found deficits in MMN, P3a, neurocognition in drug naïve SZ and BPD patients. These deficits appeared to link with levels of higher-order cognition and functioning.
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Affiliation(s)
- Xiaojing Li
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- Mental Health Education Center, Sichuan University, Chengdu, Sichuan, China
| | - Wei Deng
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- Mental Health Education Center, Sichuan University, Chengdu, Sichuan, China
| | - Rui Xue
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- Mental Health Education Center, Sichuan University, Chengdu, Sichuan, China
| | - Qiang Wang
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- Mental Health Education Center, Sichuan University, Chengdu, Sichuan, China
| | - Hongyan Ren
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- Mental Health Education Center, Sichuan University, Chengdu, Sichuan, China
| | - Wei Wei
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- Mental Health Education Center, Sichuan University, Chengdu, Sichuan, China
| | - Yamin Zhang
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Mingli Li
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- Mental Health Education Center, Sichuan University, Chengdu, Sichuan, China
| | - Liansheng Zhao
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Xiangdong Du
- Suzhou Psychiatry hospital, The Affiliated Guangji Hospital of Soochow University, Jiangsu, China
| | - Yajing Meng
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- Mental Health Education Center, Sichuan University, Chengdu, Sichuan, China
| | - Xiaohong Ma
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Mei-Hua Hall
- Psychosis Neurobiology Laboratory, McLean Hospital, Harvard Medical School, Belmont, MA, USA
| | - Tao Li
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- Mental Health Education Center, Sichuan University, Chengdu, Sichuan, China
- Suzhou Psychiatry hospital, The Affiliated Guangji Hospital of Soochow University, Jiangsu, China
- Affiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
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17
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Correlation of Health-Related Quality of Life with Negative Symptoms Assessed with the Self-Evaluation of Negative Symptoms Scale (SNS) and Cognitive Deficits in Schizophrenia: A Cross-Sectional Study in Routine Psychiatric Care. J Clin Med 2023; 12:jcm12030901. [PMID: 36769548 PMCID: PMC9917914 DOI: 10.3390/jcm12030901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 01/15/2023] [Accepted: 01/16/2023] [Indexed: 01/26/2023] Open
Abstract
(1) Background: Schizophrenia is a severe mental disorder characterized by various symptom groups that tremendously affect health-related quality of life (HRQoL). We aimed to specify whether negative symptoms and cognitive deficits of schizophrenia correlate and can predict HRQoL. (2) Methods: Patients diagnosed with paranoid schizophrenia were invited to participate in the study. Participants were evaluated using the Montreal Cognitive Assessment (MoCA) and the Brief Psychiatric Rating Scale (BPRS) and were asked to fill out the Self-evaluation of Negative Symptoms scale (SNS) and the Medical Outcomes Short Form Survey (SF-36). Pearson's and Spearman's correlations were used to calculate the correlations between cognitive deficits and negative symptoms. We performed the receiver operating characteristic (ROC) analysis for the variables correlated with SF-36 scores. (3) Results: HRQoL correlated significantly with the negative symptoms; however, it did not correlate with cognitive deficits. ROC analysis showed that the abulia subscore of the SNS showed the most significant predictive potential of HRQoL. (4) Conclusions: Negative symptoms correlate more significantly with the HRQoL than cognitive symptoms. The SNS offers the possibility of predicting the HRQoL of patients with schizophrenia and is useful as a screening tool in clinical practice.
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18
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Valerio MP, Lomastro J, Igoa A, Martino DJ. Correlates of neurological soft signs in bipolar disorder. Eur Arch Psychiatry Clin Neurosci 2023:10.1007/s00406-023-01558-1. [PMID: 36662294 DOI: 10.1007/s00406-023-01558-1] [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: 08/06/2022] [Accepted: 01/09/2023] [Indexed: 01/21/2023]
Abstract
Recent research has focused on neurological soft signs (NSS) in bipolar disorder (BD), but there is still scarce evidence on their correlates with other relevant variables. The aim of this study was to explore the association between NSS and clinical demographic, neurocognitive, and functional variables. Eighty-eight euthymic BD patients were included in whom NSS were assessed using the Neurological Evaluation Scale. All subjects performed an extensive neurocognitive battery selected to assess premorbid IQ, attention, language, verbal memory, and executive functions. Psychosocial outcomes were assessed by means of the Functioning Assessment Short Test. Among the demographical variables, NSS tended to be negatively associated with years of education and increased with age. Likewise, NSS were higher in BD type I than in BD type II, but independent of age at illness onset and number of previous affective episodes. There was a negative correlation between NSS and premorbid IQ, as well as with performance in attention, language, and executive functions. Results tended to be unchanged when controlled for potential confounders. Although NSS were associated with poor psychosocial functioning in the bivariate analysis, when added to a multiple regression model including neurocognition, these neurological features did not significantly contribute to the variance of the functional outcome. Our findings contribute to a better characterization of NSS in BD; their potential clinical and theoretical implications are discussed in the manuscript.
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Affiliation(s)
- Marina P Valerio
- National Council of Scientific and Technical Research (CONICET), Godoy Cruz 2290 (C1425FQB), Buenos Aires, Argentina.,Psychiatric Emergencies Hospital Torcuato de Alvear, Warnes 2630 (C1427DPS), Buenos Aires, Argentina
| | - Julieta Lomastro
- Psychiatric Emergencies Hospital Torcuato de Alvear, Warnes 2630 (C1427DPS), Buenos Aires, Argentina
| | - Ana Igoa
- Psychiatric Emergencies Hospital Torcuato de Alvear, Warnes 2630 (C1427DPS), Buenos Aires, Argentina
| | - Diego J Martino
- National Council of Scientific and Technical Research (CONICET), Godoy Cruz 2290 (C1425FQB), Buenos Aires, Argentina. .,Institute of Cognitive and Translational Neuroscience (INCyT), INECO Foundation, Favaloro University, Pacheco de Melo 1854 (C1126AAB), Buenos Aires, Argentina. .,, Charcas 4189, 1°''C'' (C1425BNG), Buenos Aires, Argentina.
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19
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Watson M, Filia K, Stevens A, Cotton S, Nelson B, Ratheesh A. A systematic review and meta-analysis of global and social functioning among people at risk of bipolar disorder. J Affect Disord 2023; 321:290-303. [PMID: 36306929 DOI: 10.1016/j.jad.2022.10.019] [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: 05/30/2022] [Revised: 10/04/2022] [Accepted: 10/17/2022] [Indexed: 11/11/2022]
Abstract
BACKGROUND Functional status could predict development of bipolar disorder (BD) or have clinical significance. The relationship between BD risk and functioning is poorly understood. We undertook a systematic review examining the global and social functioning of those at risk for BD. METHODS We examined observational studies comparing a risk sample with healthy controls or full-threshold BD participants, using measures of global or social functioning. Risk status included family history of BD, meeting risk criteria, or having prodromal symptomatology, or premorbid functioning of persons with BD. Medline, PsycINFO, and Embase were searched. The Newcastle-Ottawa Scale for Cross-Sectional Studies was used to assess quality. Meta-analyses were performed where possible. RESULTS 7215 studies were screened and 40 studies were included (8474 participants). Risk samples had poorer functioning than controls, and superior functioning to participants with BD. Meta-analysis indicated poorer global functioning among persons with familial risk compared to healthy controls (mean global functional difference: 5.92; 95 % confidence interval: 7.90, 3.95; mean premorbid functioning difference: 2.31; 95 % confidence interval: 0.70, 3.92). Studies with higher proportions of female participants had slightly poorer global functioning. High heterogeneity was attributable functional measures and potentially functionally differential subgroups within the risk samples. LIMITATIONS Broader measures of functioning, such as neurocognition and behavioural measures, were excluded. Measures of global functioning are limited by conflating functioning and symptoms. CONCLUSIONS Functioning in the BD risk populations is intermediate to that of healthy controls and persons with BD, indicating their value in definitions of BD risk, in itself a likely heterogeneous state.
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Affiliation(s)
- M Watson
- The University of Melbourne, Centre for Youth Mental Health, Parkville 3052, Australia; The University of Melbourne, Melbourne Medical School, Parkville 3052, Australia
| | - K Filia
- Orygen, Parkville 3052, Australia
| | | | - S Cotton
- Orygen, Parkville 3052, Australia
| | - B Nelson
- Orygen, Parkville 3052, Australia
| | - A Ratheesh
- Orygen, Parkville 3052, Australia; The University of Melbourne, Centre for Youth Mental Health, Parkville 3052, Australia.
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20
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Watson AJ, Harrison L, Preti A, Wykes T, Cella M. Cognitive trajectories following onset of psychosis: a meta-analysis. Br J Psychiatry 2022; 221:714-721. [PMID: 36149012 DOI: 10.1192/bjp.2022.131] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
BACKGROUND Cognitive impairment is a core feature of schizophrenia, associated with poor functional outcomes. The course of cognitive function in the years following illness onset has remained a subject of debate, with a previous analysis finding no worsening, providing support for the neurodevelopmental model of schizophrenia. Since then, many more studies have reported on longitudinal cognitive performance in early psychosis, with some indicating deterioration, which does not align with this view. AIMS This study aims to quantitatively review the literature on the longitudinal trajectory of cognitive deficits in the years following psychosis onset, in comparison with healthy controls. It is the first to also synthesise longitudinal data on social cognition. METHOD Electronic databases ('PubMed', 'PsycInfo' and 'Scopus') were searched (to end September 2021). Meta-analyses of 25 longitudinal studies of cognition in early psychosis were conducted (1480 patients, 789 health controls). Unlike previous analyses, randomised controlled trials and those with multiple cognitive testing periods within the first year were excluded to minimise bias (PROSPERO, ID: CRD42021241525). RESULTS Small improvements were observed for global cognition (g = 0.25, 95% CI 0.17-0.33) and individual cognitive domains, but these were comparable with healthy controls and likely an artefact of practice effects. CONCLUSIONS There is no evidence of continued cognitive decline or improvement in the early years following psychosis onset, with a need for more studies over longer follow-up periods. Practice effects highlight the importance of including control samples in longitudinal and intervention studies. Further data are needed to evaluate the course of social cognition subdomains.
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Affiliation(s)
- Andrew J Watson
- Department of Psychology, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK; and South London and Maudsley NHS Foundation Trust, London, UK
| | - Lauren Harrison
- Department of Psychology, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK
| | - Antonio Preti
- Dipartimento di Neuroscienze, Università degli studi di Torino, Italy
| | - Til Wykes
- Department of Psychology, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK; and South London and Maudsley NHS Foundation Trust, London, UK
| | - Matteo Cella
- Department of Psychology, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK; and South London and Maudsley NHS Foundation Trust, London, UK
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21
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Riedel P, Lee J, Watson CG, Jimenez AM, Reavis EA, Green MF. Reorganization of the functional connectome from rest to a visual perception task in schizophrenia and bipolar disorder. Psychiatry Res Neuroimaging 2022; 327:111556. [PMID: 36327867 PMCID: PMC10611423 DOI: 10.1016/j.pscychresns.2022.111556] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 09/13/2022] [Accepted: 10/17/2022] [Indexed: 11/06/2022]
Abstract
Functional connectome organization is altered in schizophrenia (SZ) and bipolar disorder (BD). However, it remains unclear whether network reorganization during a task relative to rest is also altered in these disorders. This study examined connectome organization in patients with SZ (N = 43) and BD (N = 42) versus healthy controls (HC; N = 39) using fMRI data during a visual object-perception task and at rest. Graph analyses were conducted for the whole-brain network using indices selected a priori: three reflecting network segregation (clustering coefficient, local efficiency, modularity), two reflecting integration (characteristic path length, global efficiency). Group differences were limited to network segregation and were more evident in SZ (clustering coefficient, modularity) than in BD (clustering coefficient) compared to HC. State differences were found across groups for segregation (local efficiency) and integration (characteristic path length). There was no group-by-state interaction for any graph index. In summary, aberrant network organization compared to HC was confirmed, and was more evident in SZ than in BD. Yet, reorganization was largely intact in both disorders. These findings help to constrain models of dysconnection in SZ and BD, suggesting that the extent of functional dysconnectivity in these disorders tends to persist across changes in mental state.
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Affiliation(s)
- Philipp Riedel
- Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, 760 Westwood Plaza, Los Angeles, CA 90024, USA; Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Würzburger Straße 35, Dresden 01187, Germany.
| | - Junghee Lee
- Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, 760 Westwood Plaza, Los Angeles, CA 90024, USA; Desert Pacific Mental Illness Research, Education, and Clinical Center, Greater Los Angeles VA Healthcare System, Bldg. 210, 11301 Wilshire Blvd, Los Angeles, CA 90073, USA; Department of Psychiatry and Behavioral Neurobiology, School of Medicine, The University of Alabama at Birmingham, SC 560, 1720 2nd Ave S, Birmingham, AL 35294-0017, USA
| | - Christopher G Watson
- Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, USA
| | - Amy M Jimenez
- Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, 760 Westwood Plaza, Los Angeles, CA 90024, USA; Desert Pacific Mental Illness Research, Education, and Clinical Center, Greater Los Angeles VA Healthcare System, Bldg. 210, 11301 Wilshire Blvd, Los Angeles, CA 90073, USA
| | - Eric A Reavis
- Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, 760 Westwood Plaza, Los Angeles, CA 90024, USA; Desert Pacific Mental Illness Research, Education, and Clinical Center, Greater Los Angeles VA Healthcare System, Bldg. 210, 11301 Wilshire Blvd, Los Angeles, CA 90073, USA
| | - Michael F Green
- Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, 760 Westwood Plaza, Los Angeles, CA 90024, USA; Desert Pacific Mental Illness Research, Education, and Clinical Center, Greater Los Angeles VA Healthcare System, Bldg. 210, 11301 Wilshire Blvd, Los Angeles, CA 90073, USA
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22
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Chen J, Fu Z, Bustillo JR, Perrone-Bizzozero NI, Lin D, Canive J, Pearlson GD, Stephen JM, Mayer AR, Potkin SG, van Erp TGM, Kochunov P, Elliot Hong L, Adhikari BM, Andreassen OA, Agartz I, Westlye LT, Sui J, Du Y, Macciardi F, Hanlon FM, Jung RE, Turner JA, Liu J, Calhoun VD. Genome-Transcriptome-Functional Connectivity-Cognition Link Differentiates Schizophrenia From Bipolar Disorder. Schizophr Bull 2022; 48:1306-1317. [PMID: 35988022 PMCID: PMC9673262 DOI: 10.1093/schbul/sbac088] [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] [Indexed: 12/14/2022]
Abstract
BACKGROUND AND HYPOTHESIS Schizophrenia (SZ) and bipolar disorder (BD) share genetic risk factors, yet patients display differential levels of cognitive impairment. We hypothesized a genome-transcriptome-functional connectivity (frontoparietal)-cognition pathway linked to SZ-versus-BD differences, and conducted a multiscale study to delineate this pathway. STUDY DESIGNS Large genome-wide studies provided single nucleotide polymorphisms (SNPs) conferring more risk for SZ than BD, and we identified their regulated genes, namely SZ-biased SNPs and genes. We then (a) computed the polygenic risk score for SZ (PRSSZ) of SZ-biased SNPs and examined its associations with imaging-based frontoparietal functional connectivity (FC) and cognitive performances; (b) examined the spatial correlation between ex vivo postmortem expressions of SZ-biased genes and in vivo, SZ-related FC disruptions across frontoparietal regions; (c) investigated SZ-versus-BD differences in frontoparietal FC; and (d) assessed the associations of frontoparietal FC with cognitive performances. STUDY RESULTS PRSSZ of SZ-biased SNPs was significantly associated with frontoparietal FC and working memory test scores. SZ-biased genes' expressions significantly correlated with SZ-versus-BD differences in FC across frontoparietal regions. SZ patients showed more reductions in frontoparietal FC than BD patients compared to controls. Frontoparietal FC was significantly associated with test scores of multiple cognitive domains including working memory, and with the composite scores of all cognitive domains. CONCLUSIONS Collectively, these multiscale findings support the hypothesis that SZ-biased genetic risk, through transcriptome regulation, is linked to frontoparietal dysconnectivity, which in turn contributes to differential cognitive deficits in SZ-versus BD, suggesting that potential biomarkers for more precise patient stratification and treatment.
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Affiliation(s)
- Jiayu Chen
- Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA, USA
| | - Zening Fu
- Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA, USA
| | - Juan R Bustillo
- Department of Neurosciences, University of New Mexico School of Medicine, Albuquerque, NM, USA
- Department of Psychiatry and Behavioral Sciences, University of New Mexico School of Medicine, Albuquerque, NM, USA
| | - Nora I Perrone-Bizzozero
- Department of Neurosciences, University of New Mexico School of Medicine, Albuquerque, NM, USA
- Department of Psychiatry and Behavioral Sciences, University of New Mexico School of Medicine, Albuquerque, NM, USA
| | - Dongdong Lin
- Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA, USA
| | - Jose Canive
- Department of Psychiatry and Behavioral Sciences, University of New Mexico School of Medicine, Albuquerque, NM, USA
| | - Godfrey D Pearlson
- Olin Neuropsychiatry Research Center, Institute of Living, Hartford, CT, USA
- Department of Psychiatry and Neuroscience, Yale University, New Haven, CT, USA
| | | | | | - Steven G Potkin
- Department of Psychiatry and Human Behavior, School of Medicine, University of California, Irvine, CA, USA
| | - Theo G M van Erp
- Department of Psychiatry and Human Behavior, Clinical Translational Neuroscience Laboratory, School of Medicine, University of California, Irvine, CA, USA
| | - Peter Kochunov
- Department of Psychiatry, Maryland Psychiatric Research Center, University of Maryland School of Medicine, Baltimore, USA
| | - L Elliot Hong
- Department of Psychiatry, Maryland Psychiatric Research Center, University of Maryland School of Medicine, Baltimore, USA
| | - Bhim M Adhikari
- Department of Psychiatry, Maryland Psychiatric Research Center, University of Maryland School of Medicine, Baltimore, USA
| | - Ole A Andreassen
- Division of Mental Health and Addiction, Norwegian Centre for Mental Disorders Research (NORMENT), Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
| | - Ingrid Agartz
- Division of Mental Health and Addiction, Norwegian Centre for Mental Disorders Research (NORMENT), Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
- Department of Clinical Neuroscience, Centre for Psychiatric Research, Karolinska Institutet, Stockholm, Sweden
| | - Lars T Westlye
- Division of Mental Health and Addiction, Norwegian Centre for Mental Disorders Research (NORMENT), Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Jing Sui
- Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA, USA
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Yuhui Du
- Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA, USA
- School of Computer and Information Technology, Shanxi University, Taiyuan, China
| | - Fabio Macciardi
- Department of Psychiatry and Human Behavior, School of Medicine, University of California, Irvine, CA, USA
| | | | - Rex E Jung
- Department of Psychology, University of New Mexico, Albuquerque, NM, USA
| | - Jessica A Turner
- Psychology Department and Neuroscience Institute, Georgia State University, Atlanta, GA, USA
| | - Jingyu Liu
- Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA, USA
- Department of Computer Science, Georgia State University, Atlanta, GA, USA
| | - Vince D Calhoun
- Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA, USA
- Psychology Department and Neuroscience Institute, Georgia State University, Atlanta, GA, USA
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23
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Lee BG, Kent JA, Marcopulos BA, Arredondo BC, Wilson M. Rey-Osterrieth complex figure normative data for the psychiatric population. Clin Neuropsychol 2022; 36:1653-1678. [PMID: 33706660 DOI: 10.1080/13854046.2021.1897163] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
Objective: Appropriate normative data are crucial for competent neuropsychological assessment. Although individuals with psychiatric illness often perform more poorly than healthy adults on neuropsychological testing, data that reflect the psychiatric population are often lacking. We present a normative dataset and calculation tools for the Rey-Osterrieth Complex Figure Test (RCFT) derived from the psychiatric inpatient population. Method: A sample of 301 psychiatric inpatients completed the RCFT and the Test of Memory Malingering (TOMM) between 1999 and 2018. Participants were 59.5% male, 82.1% Caucasian, 13.3% black, and 4.6% identified as another racial demographic, largely consistent with recent Substance Abuse and Mental Health Services Administration (2018) data for inpatients in U.S. psychiatric facilities. Scores for RCFT Copy, Short-Delay Free Recall, Long-Delay Free Recall, Total Recognition, and Percent Retained were modeled via multiple regression with age and education as predictors. Base rates were computed for subscores comprising Total Recognition to aid clinical decision making. Results: Age and education served as significant individual predictors for all models except one model predicting percent retained across delay that included only age. Regression equations and regression standard errors were used to produce a score calculator using a commonly available spreadsheet software package. Healthy adult norms under-estimated performance in our sample, underscoring the importance of these normative data. Conclusions: These normative data for the RCFT represent a large cohort of psychiatric inpatients. For clinical practice and research, both the data and the tools provided are likely to be of particular usefulness among individuals with serious mental illness.
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Affiliation(s)
- Bern G Lee
- Department of Psychiatry and Neurobehavioral Sciences, University of Virginia School of Medicine, Charlottesville, VA, USA.,Department of Behavioral Medicine, Neuropsychology Laboratory, Western State Hospital, Staunton, VA, USA
| | - Julie-Ann Kent
- Department of Behavioral Medicine, Neuropsychology Laboratory, Western State Hospital, Staunton, VA, USA
| | - Bernice A Marcopulos
- Department of Psychiatry and Neurobehavioral Sciences, University of Virginia School of Medicine, Charlottesville, VA, USA.,Department of Graduate Psychology, James Madison University, Harrisonburg, VA, USA
| | | | - Monique Wilson
- Department of Psychiatry and Neurobehavioral Sciences, University of Virginia School of Medicine, Charlottesville, VA, USA.,Department of Behavioral Medicine, Neuropsychology Laboratory, Western State Hospital, Staunton, VA, USA
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24
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Creeth HDJ, Rees E, Legge SE, Dennison CA, Holmans P, Walters JTR, O’Donovan MC, Owen MJ. Ultrarare Coding Variants and Cognitive Function in Schizophrenia. JAMA Psychiatry 2022; 79:963-970. [PMID: 35976659 PMCID: PMC9386603 DOI: 10.1001/jamapsychiatry.2022.2289] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Accepted: 06/06/2022] [Indexed: 11/18/2022]
Abstract
Importance Impaired cognitive function in schizophrenia is associated with poor functional outcomes, but the role of rare coding variants is unclear. Objective To determine whether ultrarare constrained variants (URCVs) are associated with cognition in patients with schizophrenia. Design, Setting, and Participants Linear regression was used to perform a within-case genetic association study of URCVs and current cognition and premorbid cognitive ability. A multivariable linear regression analysis of the outcomes associated with URCVs, schizophrenia polygenic risk score, polygenic risk score for intelligence and schizophrenia associated copy number variants on cognitive ability was performed. Exome sequencing data from 802 participants with schizophrenia were assessed for current cognition using the Measurement and Treatment Research to Improve Cognition in Schizophrenia Consensus Cognitive Battery and for estimated premorbid IQ using the National Adult Reading Test. Individuals were recruited from clinical and voluntary mental health services in the UK. Those with a diagnosis of intellectual disability or a neurological disorder known to affect cognition were excluded. Data collection occurred between 2007 and 2015. Data were analyzed between April 2020 and March 2022. Main Outcomes and Measures Association between URCVs, current cognition, and current cognition adjusted for premorbid IQ. Results Of the 802 participants, 499 (62%) were men and 303 (38%) were women; mean (SD) age at interview was 43.36 (11.87) years. Ultrarare constrained variants (n = 400) were associated with lower current cognition scores (β = -0.18; SE = 0.07; P = .005). In the univariable analysis, premorbid IQ was associated with URCVs (β = -0.12; SE = 0.05; P = .02) and partly attenuated the association with current cognition (β = -0.09; SE = 0.05; P = .08). Multivariable analysis showed that measured genetic factors combined accounted for 6.2% of variance in current cognition, 10.3% of variance in premorbid IQ, and supported outcomes of URCVs associated with current cognition independent of premorbid IQ (β = -0.10; SE = 0.05; P = .03). Conclusions and Relevance The findings of this study suggest that URCVs contribute to variance in cognitive function in schizophrenia, with partly independent associations before and after onset of the disorder. Although the estimated effect sizes were small, future studies may show that the effect sizes will be greater with better annotation of pathogenic variants. Genomic data may contribute to identifying those at particularly high risk of cognitive impairment in whom early remedial or preventive measures can be implemented.
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Affiliation(s)
- Hugo D. J. Creeth
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University School of Medicine, Cardiff, United Kingdom
| | - Elliott Rees
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University School of Medicine, Cardiff, United Kingdom
| | - Sophie E. Legge
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University School of Medicine, Cardiff, United Kingdom
| | - Charlotte A. Dennison
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University School of Medicine, Cardiff, United Kingdom
| | - Peter Holmans
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University School of Medicine, Cardiff, United Kingdom
| | - James T. R. Walters
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University School of Medicine, Cardiff, United Kingdom
| | - Michael C. O’Donovan
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University School of Medicine, Cardiff, United Kingdom
| | - Michael J. Owen
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University School of Medicine, Cardiff, United Kingdom
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25
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Gui Y, Zhou X, Wang Z, Zhang Y, Wang Z, Zhou G, Zhao Y, Liu M, Lu H, Zhao H. Sex-specific genetic association between psychiatric disorders and cognition, behavior and brain imaging in children and adults. Transl Psychiatry 2022; 12:347. [PMID: 36028495 PMCID: PMC9418275 DOI: 10.1038/s41398-022-02041-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Revised: 06/22/2022] [Accepted: 06/29/2022] [Indexed: 11/09/2022] Open
Abstract
Although there are pronounced sex differences for psychiatric disorders, relatively little has been published on the heterogeneity of sex-specific genetic effects for these traits until very recently for adults. Much less is known about children because most psychiatric disorders will not manifest until later in life and existing studies for children on psychiatric traits such as cognitive functions are underpowered. We used results from publicly available genome-wide association studies for six psychiatric disorders and individual-level data from the Adolescent Brain Cognitive Development (ABCD) study and the UK Biobank (UKB) study to evaluate the associations between the predicted polygenic risk scores (PRS) of these six disorders and observed cognitive functions, behavioral and brain imaging traits. We further investigated the mediation effects of the brain structure and function, which showed heterogeneity between males and females on the correlation between genetic risk of schizophrenia and fluid intelligence. There was significant heterogeneity in genetic associations between the cognitive traits and psychiatric disorders between sexes. Specifically, the PRSs of schizophrenia of boys showed stronger correlation with eight of the ten cognitive functions in the ABCD data set; whereas the PRSs of autism of females showed a stronger correlation with fluid intelligence in the UKB data set. Besides cognitive traits, we also found significant sexual heterogeneity in genetic associations between psychiatric disorders and behavior and brain imaging. These results demonstrate the underlying early etiology of psychiatric disease and reveal a shared and unique genetic basis between the disorders and cognition traits involved in brain functions between the sexes.
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Affiliation(s)
- Yuanyuan Gui
- grid.16821.3c0000 0004 0368 8293State Key Laboratory of Microbial metabolism, Joint International Research Laboratory of Metabolic & Developmental Sciences, Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China ,grid.16821.3c0000 0004 0368 8293SJTU-Yale Joint Center for Biostatistics and Data Science, Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
| | - Xiaocheng Zhou
- grid.16821.3c0000 0004 0368 8293State Key Laboratory of Microbial metabolism, Joint International Research Laboratory of Metabolic & Developmental Sciences, Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China ,grid.16821.3c0000 0004 0368 8293SJTU-Yale Joint Center for Biostatistics and Data Science, Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
| | - Zixin Wang
- grid.16821.3c0000 0004 0368 8293State Key Laboratory of Microbial metabolism, Joint International Research Laboratory of Metabolic & Developmental Sciences, Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China ,grid.16821.3c0000 0004 0368 8293SJTU-Yale Joint Center for Biostatistics and Data Science, Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
| | - Yiliang Zhang
- grid.47100.320000000419368710Department of Biostatistics, Yale School of Public Health, New Haven, CT USA
| | - Zhaobin Wang
- grid.16821.3c0000 0004 0368 8293State Key Laboratory of Microbial metabolism, Joint International Research Laboratory of Metabolic & Developmental Sciences, Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China ,grid.16821.3c0000 0004 0368 8293SJTU-Yale Joint Center for Biostatistics and Data Science, Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
| | - Geyu Zhou
- grid.47100.320000000419368710Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT USA
| | - Yize Zhao
- grid.47100.320000000419368710Department of Biostatistics, Yale School of Public Health, New Haven, CT USA
| | - Manhua Liu
- grid.16821.3c0000 0004 0368 8293MoE Key Laboratory of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, China
| | - Hui Lu
- State Key Laboratory of Microbial metabolism, Joint International Research Laboratory of Metabolic & Developmental Sciences, Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China. .,SJTU-Yale Joint Center for Biostatistics and Data Science, Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.
| | - Hongyu Zhao
- Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA. .,Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA.
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26
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Saffi F, Rocca CCA, Toschi-Dias E, Durães RSS, Serafim AP. Cognitive Processes and Legal Capacity in Patients With Bipolar Disorder: A Brief Research Report. Front Psychol 2022; 13:867750. [PMID: 35846610 PMCID: PMC9280414 DOI: 10.3389/fpsyg.2022.867750] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Accepted: 06/14/2022] [Indexed: 11/29/2022] Open
Abstract
The current study verified the association between cognitive process such as attention, executive functioning, and legal capacity in patients with bipolar disorder (BD). The sample consisted of 72 participants, assorted to episodic patients (n = 21), euthymic patients (n = 22), and healthy controls (HCs) (n = 29). We used the following neuropsychological measures: subtests of the Wechsler Abbreviated Intelligence Scale (WASI): vocabulary and matrix reasoning; Continuous Performance Test (CPT); Five Digit Test (FDT); and Rey–Osterrieth Complex Figure (ROCF). Euthymic patients expressed slower processing speed (FDT) compared to HC. They tended to make more errors with slightly worse discrimination, suggesting more impulsiveness (CPT, p < 0.01). On the contrary, episodic patients showed worse discrimination, committed more omissions, were more inconsistent with regard to response speed (CPT-3, p < 0.01), showed more difficulties in organizing their actions (ROCF: copy, p = 0.03), and were more rigid (FDT: flexibility, p = 0.03). The results suggest that bipolar patients in episode express more cognitive impairments that can compromise the quality of legal capacity. These results highlight the need for more protective support for episodic BD patients regarding legal capacity.
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27
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Lubotzky A, Pelov I, Teplitz R, Neiman D, Smadja A, Zemmour H, Piyanzin S, Ochana BL, Spalding KL, Glaser B, Shemer R, Dor Y, Kohn Y. Elevated brain-derived cell-free DNA among patients with first psychotic episode - a proof-of-concept study. eLife 2022; 11:76391. [PMID: 35699419 PMCID: PMC9203052 DOI: 10.7554/elife.76391] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Accepted: 06/06/2022] [Indexed: 12/17/2022] Open
Abstract
Schizophrenia is a common, severe, and debilitating psychiatric disorder. Despite extensive research there is as yet no biological marker that can aid in its diagnosis and course prediction. This precludes early detection and intervention. Imaging studies suggest brain volume loss around the onset and over the first few years of schizophrenia, and apoptosis has been proposed as the underlying mechanism. Cell-free DNA (cfDNA) fragments are released into the bloodstream following cell death. Tissue-specific methylation patterns allow the identification of the tissue origins of cfDNA. We developed a cocktail of brain-specific DNA methylation markers, and used it to assess the presence of brain-derived cfDNA in the plasma of patients with a first psychotic episode. We detected significantly elevated neuron- (p=0.0013), astrocyte- (p=0.0016), oligodendrocyte- (p=0.0129), and whole brain-derived (p=0.0012) cfDNA in the plasma of patients during their first psychotic episode (n=29), compared with healthy controls (n=31). Increased cfDNA levels were not correlated with psychotropic medications use. Area under the curve (AUC) was 0.77, with 65% sensitivity at 90% specificity in patients with a psychotic episode. Potential interpretations of these findings include increased brain cell death, disruption of the blood-brain barrier, or a defect in clearance of material from dying brain cells. Brain-specific cfDNA methylation markers can potentially assist early detection and monitoring of schizophrenia and thus allow early intervention and adequate therapy.
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Affiliation(s)
- Asael Lubotzky
- Department of Developmental Biology and Cancer Research, Institute for Medical Research Israel-Canada, the Hebrew University-Hadassah Medical School, Jerusalem, Israel.,Neuropediatric Unit, Shaare Zedek Medical Center, Jerusalem, Israel
| | - Ilana Pelov
- Jerusalem Mental Health Center, Eitanim Psychiatric Hospital, Jerusalem, Israel
| | - Ronen Teplitz
- Jerusalem Mental Health Center, Eitanim Psychiatric Hospital, Jerusalem, Israel
| | - Daniel Neiman
- Department of Developmental Biology and Cancer Research, Institute for Medical Research Israel-Canada, the Hebrew University-Hadassah Medical School, Jerusalem, Israel
| | - Adama Smadja
- Hebrew University-Hadassah School of Medicine, Jerusalem, Israel
| | - Hai Zemmour
- Department of Developmental Biology and Cancer Research, Institute for Medical Research Israel-Canada, the Hebrew University-Hadassah Medical School, Jerusalem, Israel
| | - Sheina Piyanzin
- Department of Developmental Biology and Cancer Research, Institute for Medical Research Israel-Canada, the Hebrew University-Hadassah Medical School, Jerusalem, Israel
| | - Bracha-Lea Ochana
- Department of Developmental Biology and Cancer Research, Institute for Medical Research Israel-Canada, the Hebrew University-Hadassah Medical School, Jerusalem, Israel
| | - Kirsty L Spalding
- Karolinska Institute, Department of Cell and Molecular Biology Stockholm, Stockholm, Sweden
| | - Benjamin Glaser
- Endocrinology and Metabolism Service, Hadassah Medical Organization and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Ruth Shemer
- Department of Developmental Biology and Cancer Research, Institute for Medical Research Israel-Canada, the Hebrew University-Hadassah Medical School, Jerusalem, Israel
| | - Yuval Dor
- Department of Developmental Biology and Cancer Research, Institute for Medical Research Israel-Canada, the Hebrew University-Hadassah Medical School, Jerusalem, Israel
| | - Yoav Kohn
- Jerusalem Mental Health Center, Eitanim Psychiatric Hospital, Jerusalem, Israel.,Hebrew University-Hadassah School of Medicine, Jerusalem, Israel
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28
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Hebbrecht K, Morrens M, Giltay EJ, van Nuijs ALN, Sabbe B, van den Ameele S. The Role of Kynurenines in Cognitive Dysfunction in Bipolar Disorder. Neuropsychobiology 2022; 81:184-191. [PMID: 34883494 DOI: 10.1159/000520152] [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] [Received: 05/19/2021] [Accepted: 10/07/2021] [Indexed: 11/19/2022]
Abstract
INTRODUCTION Chronic low-grade inflammation is suggested to play a pathophysiological role in bipolar disorder (BD) and its related cognitive dysfunctions. Although kynurenine (KYN) pathway metabolites are key inflammatory mediators, studies investigating the association between KYN metabolism and cognition in BD are scarce. We aimed to explore the relationship between KYN metabolism and cognitive functioning across different mood states in BD. METHODS Sixty-seven patients with BD (35 depressed and 32 [hypo] manic) and 29 healthy controls were included. Cognitive functioning was assessed at 3 time intervals (baseline, 4, and 8 months) assessing processing speed, sustained attention, verbal memory, working memory, and response inhibition. Plasma samples for quantification of 3-hydroxykynurenine, quinolinic acid, and kynurenic acid (KYNA) were concurrently provided. Linear mixed models were used for statistical analysis. RESULTS The manic group showed deficits in all assessed cognitive domains with the exception of verbal memory at all test moments. The bipolar depression group showed deficits in the processing speed at all test moments. Throughout the whole follow-up period, KYNA was significantly lower in both patient groups than in controls. Only in the bipolar depression group, low KYNA was associated with worse global cognitive functioning (B = 0.114, p = 0.02) and slower processing speed in particular (B = 0.139, p = 0.03). CONCLUSION Only in the bipolar depression group, lower KYNA was associated with worse cognitive functioning. Future large-scale longitudinal studies are warranted to confirm the role of KYN metabolites in cognitive impairment in patients with BD and the possible therapeutic implications of this relationship.
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Affiliation(s)
- Kaat Hebbrecht
- Faculty of Medicine and Health Sciences, Collaborative Antwerp Psychiatric Research Institute (CAPRI), University of Antwerp, Antwerp, Belgium.,Scientific Initiative of Neuropsychiatric and Psychopharmacological Studies (SINAPS), University Psychiatric Centre Duffel, Duffel, Belgium.,Department of Psychiatry, University Psychiatric Center KU Leuven, Leuven, Belgium
| | - Manuel Morrens
- Faculty of Medicine and Health Sciences, Collaborative Antwerp Psychiatric Research Institute (CAPRI), University of Antwerp, Antwerp, Belgium.,Scientific Initiative of Neuropsychiatric and Psychopharmacological Studies (SINAPS), University Psychiatric Centre Duffel, Duffel, Belgium
| | - Erik J Giltay
- Faculty of Medicine and Health Sciences, Collaborative Antwerp Psychiatric Research Institute (CAPRI), University of Antwerp, Antwerp, Belgium.,Department of Psychiatry, Leiden University Medical Center, Leiden, The Netherlands
| | - Alexander L N van Nuijs
- Toxicological Centre, Department of Pharmaceutical Sciences, University of Antwerp, Antwerp, Belgium
| | - Bernard Sabbe
- Faculty of Medicine and Health Sciences, Collaborative Antwerp Psychiatric Research Institute (CAPRI), University of Antwerp, Antwerp, Belgium
| | - Seline van den Ameele
- Faculty of Medicine and Health Sciences, Collaborative Antwerp Psychiatric Research Institute (CAPRI), University of Antwerp, Antwerp, Belgium.,Department of Psychiatry, Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Brussels, Belgium
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29
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Burdick KE. Brain-Based Abnormalities in Bipolar Disorder: Neuroprogression (and Neurodevelopment). Biol Psychiatry 2022; 91:529-530. [PMID: 35177205 DOI: 10.1016/j.biopsych.2021.12.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Accepted: 12/13/2021] [Indexed: 11/02/2022]
Affiliation(s)
- Katherine E Burdick
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
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30
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Mogensen MB, Macoveanu J, Knudsen GM, Ott CV, Miskowiak KW. Influence of pre-treatment structural brain measures on effects of action-based cognitive remediation on executive function in partially or fully remitted patients with bipolar disorder. Eur Neuropsychopharmacol 2022; 56:50-59. [PMID: 34933219 DOI: 10.1016/j.euroneuro.2021.11.010] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 11/24/2021] [Accepted: 11/26/2021] [Indexed: 11/17/2022]
Abstract
Cognitive impairment is an emerging treatment target in patients with bipolar disorder (BD) but so far, no evidence-based treatment options are available. Recent studies indicate promising effects of Cognitive Remediation (CR) interventions, but it is unclear who responds most to these interventions. This report aimed to investigate whether pre-treatment dorsal prefrontal cortex (dPFC) thickness predicts improvement of executive function in response to Action-Based Cognitive Remediation (ABCR) in patients with BD. Complete baseline magnetic resonance imaging (MRI) data were available from 45 partially or fully remitted patients with BD from our randomized controlled ABCR trial (ABCR: n = 25, control group: n = 20). We performed cortical reconstruction and volumetric segmentation using FreeSurfer. Multiple linear regression analysis was conducted to assess the influence of dPFC thickness on ABCR-related executive function improvement, reflected by change in the One Touch Stocking of Cambridge performance from baseline to post-treatment. We also conducted whole brain vertex wise analysis for exploratory purposes. Groups were well-matched for demographic and clinical variables. Less pre-treatment dPFC thickness was associated with greater effect of ABCR on executive function (p = 0.02). Further, whole-brain vertex analysis revealed an association between smaller pre-treatment superior temporal gyrus volume and greater ABCR-related executive function improvement. The observed associations suggest that structural abnormalities in dPFC and superior temporal gyrus are key neurocircuitry treatment targets for CR interventions that target impaired executive function in BD.
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Affiliation(s)
- M B Mogensen
- Neurocognition and Emotion in Affective Disorder (NEAD) Group, Copenhagen Affective Disorder research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University hospital, Rigshospitalet, Denmark
| | - J Macoveanu
- Neurocognition and Emotion in Affective Disorder (NEAD) Group, Copenhagen Affective Disorder research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University hospital, Rigshospitalet, Denmark
| | - G M Knudsen
- Neurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet; Institute of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | - C V Ott
- Neurocognition and Emotion in Affective Disorder (NEAD) Group, Copenhagen Affective Disorder research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University hospital, Rigshospitalet, Denmark
| | - K W Miskowiak
- Neurocognition and Emotion in Affective Disorder (NEAD) Group, Copenhagen Affective Disorder research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University hospital, Rigshospitalet, Denmark; Department of Psychology, University of Copenhagen, Copenhagen, Denmark.
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31
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The efficacy of cariprazine on cognition: a post hoc analysis from phase II/III clinical trials in bipolar mania, bipolar depression, and schizophrenia. CNS Spectr 2022; 28:319-330. [PMID: 35193729 DOI: 10.1017/s109285292200013x] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
OBJECTIVE To investigate the effect of cariprazine on cognitive symptom change across bipolar I disorder and schizophrenia. METHODS Post hoc analyses of 3- to 8-week pivotal studies in bipolar I depression and mania were conducted; one schizophrenia trial including the Cognitive Drug Research System attention battery was also analyzed. Outcomes of interest: Montgomery-Åsberg Depression Rating Scale [MADRS], Functioning Assessment Short Test [FAST], Positive and Negative Syndrome Scale [PANSS]). LSMDs in change from baseline to end of study were reported in the overall intent-to-treat population and in patient subsets with specified levels of baseline cognitive symptoms or performance. RESULTS In patients with bipolar depression and at least mild cognitive symptoms, LSMDs were statistically significant for cariprazine vs placebo on MADRS item 6 (3 studies; 1.5 mg=-0.5 [P<.001]; 3 mg/d=-0.2 [P<.05]) and on the FAST Cognitive subscale (1 study; 1.5 mg/d=-1.4; P=.0039). In patients with bipolar mania and at least mild cognitive symptoms, the LSMD in PANSS Cognitive subscale score was statistically significant for cariprazine vs placebo (3 studies; -2.1; P=.001). In patients with schizophrenia and high cognitive impairment, improvement in power of attention was observed for cariprazine 3 mg/d vs placebo (P=.0080), but not for cariprazine 6 mg/d; improvement in continuity of attention was observed for cariprazine 3 mg/d (P=.0012) and 6 mg/d (P=.0073). CONCLUSION These post hoc analyses provide preliminary evidence of greater improvements for cariprazine vs placebo across cognitive measures in patients with bipolar I depression and mania, and schizophrenia, suggesting potential benefits for cariprazine in treating cognitive symptoms.
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32
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Kay Y, Tsan L, Davis EA, Tian C, Décarie-Spain L, Sadybekov A, Pushkin AN, Katritch V, Kanoski SE, Herring BE. Schizophrenia-associated SAP97 mutations increase glutamatergic synapse strength in the dentate gyrus and impair contextual episodic memory in rats. Nat Commun 2022; 13:798. [PMID: 35145085 PMCID: PMC8831576 DOI: 10.1038/s41467-022-28430-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Accepted: 01/05/2022] [Indexed: 12/24/2022] Open
Abstract
Mutations in the putative glutamatergic synapse scaffolding protein SAP97 are associated with the development of schizophrenia in humans. However, the role of SAP97 in synaptic regulation is unclear. Here we show that SAP97 is expressed in the dendrites of granule neurons in the dentate gyrus but not in the dendrites of other hippocampal neurons. Schizophrenia-related perturbations of SAP97 did not affect CA1 pyramidal neuron synapse function. Conversely, these perturbations produce dramatic augmentation of glutamatergic neurotransmission in granule neurons that can be attributed to a release of perisynaptic GluA1-containing AMPA receptors into the postsynaptic densities of perforant pathway synapses. Furthermore, inhibiting SAP97 function in the dentate gyrus was sufficient to impair contextual episodic memory. Together, our results identify a cell-type-specific synaptic regulatory mechanism in the dentate gyrus that, when disrupted, impairs contextual information processing in rats. The effects of SAP97 mutations associated with schizophrenia on synaptic function are unclear. Here, the authors show that schizophrenia-related SAP97 mutations enhance glutamatergic synapse strength in the dentate gyrus, impairing contextual episodic memory in rats.
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Affiliation(s)
- Yuni Kay
- Neuroscience Graduate Program, University of Southern California, Los Angeles, CA, 90089, USA
| | - Linda Tsan
- Neuroscience Graduate Program, University of Southern California, Los Angeles, CA, 90089, USA
| | - Elizabeth A Davis
- Department of Biological Sciences, Human and Evolutionary Biology Section, Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, CA, 90089, USA
| | - Chen Tian
- Neuroscience Graduate Program, University of Southern California, Los Angeles, CA, 90089, USA
| | - Léa Décarie-Spain
- Department of Biological Sciences, Human and Evolutionary Biology Section, Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, CA, 90089, USA
| | - Anastasiia Sadybekov
- Department of Chemistry, University of Southern California, Los Angeles, CA, 90089, USA
| | - Anna N Pushkin
- Neuroscience Graduate Program, University of Southern California, Los Angeles, CA, 90089, USA
| | - Vsevolod Katritch
- Department of Chemistry, University of Southern California, Los Angeles, CA, 90089, USA.,Quantitative and Computational Biology, University of Southern California, Los Angeles, CA, 90089, USA
| | - Scott E Kanoski
- Neuroscience Graduate Program, University of Southern California, Los Angeles, CA, 90089, USA.,Department of Biological Sciences, Human and Evolutionary Biology Section, Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, CA, 90089, USA
| | - Bruce E Herring
- Neuroscience Graduate Program, University of Southern California, Los Angeles, CA, 90089, USA. .,Department of Biological Sciences, Neurobiology Section, Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, CA, 90089, USA.
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Chan SY, Brady RO, Lewandowski KE, Higgins A, Öngür D, Hall MH. Dynamic and progressive changes in thalamic functional connectivity over the first five years of psychosis. Mol Psychiatry 2022; 27:1177-1183. [PMID: 34697450 PMCID: PMC9035477 DOI: 10.1038/s41380-021-01319-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Revised: 09/09/2021] [Accepted: 09/24/2021] [Indexed: 11/09/2022]
Abstract
The early stage of psychosis (ESP) is a critical period where effective intervention has the most favorable impact on outcomes. Thalamic connectivity abnormalities have been consistently found in psychosis, and are associated with clinical symptoms and cognitive deficits. However, most studies consider ESP patients as a homogeneous population and fail to take the duration of illness into account. In this study, we aimed to capture the progression of thalamic connectivity changes over the first five years of psychosis. Resting-state functional MRI scans were collected from 156 ESP patients (44 with longitudinal data) and 82 healthy controls (24 with longitudinal data). We first performed a case-control analysis comparing thalamic connectivity with 13 networks in the cortex and cerebellum. Next, we modelled the shape (flat, linear, curvilinear) of thalamic connectivity trajectories by comparing flexible non-linear versus linear models. We then tested the significance of the duration of illness and diagnosis in trajectories that changed over time. Connectivity changed over the ESP period between the thalamus and default mode network (DMN) and fronto-parietal network (FPN) nodes in both the cortex and cerebellum. Three models followed a curvilinear trajectory (early increase followed by a subsequent decrease), while thalamo-cerebellar FPN connectivity followed a linear trajectory of steady reductions over time, indicating different rates of change. Finally, diagnosis significantly predicted thalamic connectivity. Thalamo-cortical and thalamo-cerebellar connectivity change in a dynamic fashion during the ESP period. A better understanding of these changes may provide insights into the compensatory and progressive changes in functional connectivity in the early stages of illness.
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Affiliation(s)
- Shi Yu Chan
- Schizophrenia and Bipolar Disorder Research Program, McLean Hospital, Belmont, MA, USA.
- Psychosis Neurobiology Laboratory, McLean Hospital, Belmont, MA, USA.
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA.
| | - Roscoe O Brady
- Schizophrenia and Bipolar Disorder Research Program, McLean Hospital, Belmont, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Beth Israel Deaconess Medical Center and Massachusetts Mental Health Center, Boston, MA, USA
| | - Kathryn E Lewandowski
- Schizophrenia and Bipolar Disorder Research Program, McLean Hospital, Belmont, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Amy Higgins
- Schizophrenia and Bipolar Disorder Research Program, McLean Hospital, Belmont, MA, USA
- Psychosis Neurobiology Laboratory, McLean Hospital, Belmont, MA, USA
| | - Dost Öngür
- Schizophrenia and Bipolar Disorder Research Program, McLean Hospital, Belmont, MA, USA
- Psychosis Neurobiology Laboratory, McLean Hospital, Belmont, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Mei-Hua Hall
- Schizophrenia and Bipolar Disorder Research Program, McLean Hospital, Belmont, MA, USA
- Psychosis Neurobiology Laboratory, McLean Hospital, Belmont, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
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34
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Abstract
Schizophrenia, characterised by psychotic symptoms and in many cases social and occupational decline, remains an aetiological and therapeutic challenge. Contrary to popular belief, the disorder is modestly more common in men than in women. Nor is the outcome uniformly poor. A division of symptoms into positive, negative, and disorganisation syndromes is supported by factor analysis. Catatonic symptoms are not specific to schizophrenia and so-called first rank symptoms are no longer considered diagnostically important. Cognitive impairment is now recognised as a further clinical feature of the disorder. Lateral ventricular enlargement and brain volume reductions of around 2% are established findings. Brain functional changes occur in different subregions of the frontal cortex and might ultimately be understandable in terms of disturbed interaction among large-scale brain networks. Neurochemical disturbance, involving dopamine function and glutamatergic N-methyl-D-aspartate receptor function, is supported by indirect and direct evidence. The genetic contribution to schizophrenia is now recognised to be largely polygenic. Birth and early life factors also have an important aetiological role. The mainstay of treatment remains dopamine receptor-blocking drugs; a psychological intervention, cognitive behavioural therapy, has relatively small effects on symptoms. The idea that schizophrenia is better regarded as the extreme end of a continuum of psychotic symptoms is currently influential. Other areas of debate include cannabis and childhood adversity as causative factors, whether there is progressive brain change after onset, and the long-term success of early intervention initiatives.
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Affiliation(s)
- Sameer Jauhar
- Department of Psychological Medicine, Institute of Psychiatry, Psychology, and Neuroscience, King's College, London, UK
| | - Mandy Johnstone
- Department of Psychological Medicine, Institute of Psychiatry, Psychology, and Neuroscience, King's College, London, UK; National Psychosis Service, South London and Maudsley NHS Foundation Trust, London, UK
| | - Peter J McKenna
- FIDMAG Hermanas Hospitalarias Research Foundation, Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental, Madrid, Spain.
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35
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Saldarini F, Gottlieb N, Stokes PRA. Neural correlates of working memory function in euthymic people with bipolar disorder compared to healthy controls: A systematic review and meta-analysis. J Affect Disord 2022; 297:610-622. [PMID: 34715175 DOI: 10.1016/j.jad.2021.10.084] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 10/15/2021] [Accepted: 10/23/2021] [Indexed: 11/18/2022]
Abstract
BACKGROUND Bipolar disorders (BD) are serious mental health disorders that impacts on cognitive and social functioning. We aimed to systematically review and conduct a meta-analysis of fMRI correlates of working memory in euthymic people with BD compared to healthy participants. METHOD Web of Science, Embase and PubMed databases were systematically searched to identify studies which examined the fMRI correlates of working memory function in euthymic people with BD and healthy participants. Relevant demographic, behavioral and functional MRI (fMRI) data was qualitatively and quantitatively assessed, and the quality of the included studies evaluated. Comparable studies which used the same working memory task were included in a meta-analysis using Seed-Based D Mapping software (SDM). RESULTS Twenty-four studies were included in this systematic review. Consistent brain fMRI activity differences were found in key brain areas of the working memory network in euthymic people with BD compared to healthy participants including the ventromedial and dorsolateral prefrontal cortices. Cognitive performance was not significantly different between the two groups. Six studies were suitable to be included in the meta-analysis. There was no significant overlap in areas of brain activation after family-wise correction for multiple comparisons. LIMITATIONS Heterogeneity of task paradigms, small sample sizes and inherent difficulty in the interpretation of functional brain activity due to variations between studies were all limitations. CONCLUSION The differences in working memory related fMRI activity identified by this study between people with BD and healthy participants are consistent with existing literature reporting impaired working memory performance in BD. This was not accompanied by significant differences in cognitive performance in the reviewed studies, likely due to small sample sizes. Further studies are needed to investigate the relationship between differential brain activity and working memory performance in people with BD.
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Affiliation(s)
- Francesco Saldarini
- Centre for Affective Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, 16 De Crespigny Park; London, Camberwell SE5 8AB, United Kingdom
| | - Natalie Gottlieb
- Centre for Affective Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, 16 De Crespigny Park; London, Camberwell SE5 8AB, United Kingdom.
| | - Paul R A Stokes
- Centre for Affective Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, 16 De Crespigny Park; London, Camberwell SE5 8AB, United Kingdom
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36
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Lynham AJ, Cleaver SL, Jones IR, Walters JTR. A meta-analysis comparing cognitive function across the mood/psychosis diagnostic spectrum. Psychol Med 2022; 52:323-331. [PMID: 32624022 DOI: 10.1017/s0033291720002020] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
BACKGROUND The nature and degree of cognitive impairments in schizoaffective disorder is not well established. The aim of this meta-analysis was to characterise cognitive functioning in schizoaffective disorder and compare it with cognition in schizophrenia and bipolar disorder. Schizoaffective disorder was considered both as a single category and as its two diagnostic subtypes, bipolar and depressive disorder. METHODS Following a thorough literature search (468 records identified), we included 31 studies with a total of 1685 participants with schizoaffective disorder, 3357 with schizophrenia and 1095 with bipolar disorder. Meta-analyses were conducted for seven cognitive variables comparing performance between participants with schizoaffective disorder and schizophrenia, and between schizoaffective disorder and bipolar disorder. RESULTS Participants with schizoaffective disorder performed worse than those with bipolar disorder (g = -0.30) and better than those with schizophrenia (g = 0.17). Meta-analyses of the subtypes of schizoaffective disorder showed cognitive impairments in participants with the depressive subtype are closer in severity to those seen in participants with schizophrenia (g = 0.08), whereas those with the bipolar subtype were more impaired than those with bipolar disorder (g = -0.23) and less impaired than those with schizophrenia (g = 0.29). Participants with the depressive subtype had worse performance than those with the bipolar subtype but this was not significant (g = 0.25, p = 0.05). CONCLUSION Cognitive impairments increase in severity from bipolar disorder to schizoaffective disorder to schizophrenia. Differences between the subtypes of schizoaffective disorder suggest combining the subtypes of schizoaffective disorder may obscure a study's results and hamper efforts to understand the relationship between this disorder and schizophrenia or bipolar disorder.
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Affiliation(s)
- Amy J Lynham
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, School of Medicine, Cardiff University, Cardiff, UK
| | - Siân L Cleaver
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, School of Medicine, Cardiff University, Cardiff, UK
| | - Ian R Jones
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, School of Medicine, Cardiff University, Cardiff, UK
| | - James T R Walters
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, School of Medicine, Cardiff University, Cardiff, UK
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37
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Johnson MC, Sathappan A, Hanly JG, Ross GS, Hauptman AJ, Stone WS, Simon KM. From the Blood-Brain Barrier to Childhood Development: A Case of Acute-Onset Psychosis and Cognitive Impairment Attributed to Systemic Lupus Erythematosus in an Adolescent Female. Harv Rev Psychiatry 2022; 30:71-82. [PMID: 34995037 DOI: 10.1097/hrp.0000000000000315] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
LEARNING OBJECTIVES After participating in this CME activity, the clinician will be better able to:• Interpret classifications of neuropsychiatric systemic lupus erythematosus (NPSLE).• Identify determining factors of neuropsychiatric events.• Analyze current evidence regarding disease pathways for NPSLE.
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Affiliation(s)
- Matthew C Johnson
- From Harvard Medical School (Drs. Johnson, Sathappan, Hauptman, Stone, and Simon); Beth Israel Deaconess Medical Center (Drs. Johnson, Sathappan, and Stone); Dalhousie University (Dr. Hanly); Department of Medicine, Queen Elizabeth II Health Sciences Center, Halifax, Nova Scotia; Weill Cornell Medical College (Dr. Ross); Brigham and Women's Hospital, Boston, MA (Dr. Hauptman); Boston Children's Hospital, Boston, MA (Dr. Simon)
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38
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Filia KM, Cotton SM, Watson AE, Jayasinghe A, Kerr M, Fitzgerald PB. Understanding the Barriers and Facilitators to Employment for People with Bipolar Disorder. Psychiatr Q 2021; 92:1565-1579. [PMID: 34097245 DOI: 10.1007/s11126-021-09931-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/30/2021] [Indexed: 11/30/2022]
Abstract
People with Bipolar Disorder (BD) consistently report a desire for employment; however, this is not reflected in employment figures. Individuals' perceptions of barriers to employment, along with endorsement of facilitators to employment remain under-investigated. We aimed to address this limitation by: (i) first examining differences in employed versus unemployed individuals (demographic, clinical, functioning); then (ii) identifying barriers and/or facilitators to employment, perception of same, and subsequent impact on employment. We assessed demographics, functioning, and illness-related characteristics in 35 participants with BD (19 employed, 16 unemployed). Participants were asked to indicate perception of common barriers and facilitators to employment. Groups did not differ regarding demographic or clinical variables. High levels of absenteeism, termination of last role and commonly perceived barriers were attributed to mental ill-health. 93.3% of unemployed participants reportedly desired employment, and more perceived barriers were observed in the unemployed group. Identified facilitators included increased support and flexible work strategies. A comprehensive understanding of perceptions of limiting and helpful factors related to employment for people with BD was obtained. These findings have implications for service provision, encouraging targeted discussion, and tailored treatment approaches to individual's unique perceptions of factors related to employment.
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Affiliation(s)
- K M Filia
- Orygen; Centre for Youth Mental Health, University of Melbourne, 35 Poplar Road, Parkville, VIC, 3052, Australia. .,Centre for Youth Mental Health, The University of Melbourne, 35 Poplar Road, Parkville, VIC, 3052, Australia.
| | - S M Cotton
- Orygen; Centre for Youth Mental Health, University of Melbourne, 35 Poplar Road, Parkville, VIC, 3052, Australia.,Centre for Youth Mental Health, The University of Melbourne, 35 Poplar Road, Parkville, VIC, 3052, Australia
| | - A E Watson
- Orygen; Centre for Youth Mental Health, University of Melbourne, 35 Poplar Road, Parkville, VIC, 3052, Australia.,Centre for Youth Mental Health, The University of Melbourne, 35 Poplar Road, Parkville, VIC, 3052, Australia
| | - A Jayasinghe
- Orygen; Centre for Youth Mental Health, University of Melbourne, 35 Poplar Road, Parkville, VIC, 3052, Australia.,School of Psychology, Faculty of Health, Deakin University, 221 Burwood Highway, Burwood, VIC, 3125, Australia
| | - M Kerr
- Orygen; Centre for Youth Mental Health, University of Melbourne, 35 Poplar Road, Parkville, VIC, 3052, Australia.,Centre for Youth Mental Health, The University of Melbourne, 35 Poplar Road, Parkville, VIC, 3052, Australia
| | - P B Fitzgerald
- Department of Psychiatry, Epworth Centre for Innovation in Mental Health, Epworth Healthcare and Monash University, 888 Toorak Road, Camberwell, VIC, 3124, Australia
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39
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Yang F, Hong X, Tao J, Chen Y, Zhang Y, Xiao H. Hair cortisol, social support, personality traits, and clinical course: differences in schizophrenia and bipolar disorder. Brain Behav 2021; 11:e2412. [PMID: 34775692 PMCID: PMC8671778 DOI: 10.1002/brb3.2412] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Revised: 09/01/2021] [Accepted: 10/19/2021] [Indexed: 11/08/2022] Open
Abstract
OBJECTIVE This study aimed to investigate the differences in the relationship between hair cortisol concentration (HCC) and psychosocial stress, social support, clinical features, clinical course, and outcome in schizophrenia and bipolar disorder. METHODS A total of 109 schizophrenia patients, 93 bipolar disorder patients and 86 healthy controls between 18 and 60 years old were enrolled in the study. Linear regression and factor analysis were employed to examine and compare the relationship between HCC and childhood trauma, the number of stressful life events, the amount of social support in the three months before the hair cortisol assessment, clinical fearures, clinical course, and outcome in schizophrenia and bipolar disorder. RESULTS HCC is significantly associated with clinical syndromes, including depression-anxiety factor of Positive and Negative Syndrome Scale in schizophrenia patients, and thought disorder in bipolar disorder patients. However, HCC is positively related to social support and personality traits only in schizophrenia patients but not in bipolar disorder patients. Factor analysis indicates schizophrenia and bipolar disorder share a very similar but somewhat different structure in terms of HCC, psychosocial stress, social support, clinical features, clinical course, and outcome. CONCLUSION Findings support that schizophrenia and bipolar disoder have a significant overlap in both clinical characteristics and enviromental risk factors. Aberrant HCC contributes to the complexity of clinical characteristics mainly in schizophrenia.
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Affiliation(s)
- Fuzhong Yang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Xiangfei Hong
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Jing Tao
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Yupeng Chen
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Yanbo Zhang
- Department of Psychiatry, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada
| | - Hua Xiao
- State Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic and Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
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40
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Krebs MD, Themudo GE, Benros ME, Mors O, Børglum AD, Hougaard D, Mortensen PB, Nordentoft M, Gandal MJ, Fan CC, Geschwind DH, Schork AJ, Werge T, Thompson WK. Associations between patterns in comorbid diagnostic trajectories of individuals with schizophrenia and etiological factors. Nat Commun 2021; 12:6617. [PMID: 34785645 PMCID: PMC8595374 DOI: 10.1038/s41467-021-26903-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2020] [Accepted: 10/15/2021] [Indexed: 12/26/2022] Open
Abstract
Schizophrenia is a heterogeneous disorder, exhibiting variability in presentation and outcomes that complicate treatment and recovery. To explore this heterogeneity, we leverage the comprehensive Danish health registries to conduct a prospective, longitudinal study from birth of 5432 individuals who would ultimately be diagnosed with schizophrenia, building individual trajectories that represent sequences of comorbid diagnoses, and describing patterns in the individual-level variability. We show that psychiatric comorbidity is prevalent among individuals with schizophrenia (82%) and multi-morbidity occur more frequently in specific, time-ordered pairs. Three latent factors capture 79% of variation in longitudinal comorbidity and broadly relate to the number of co-occurring diagnoses, the presence of child versus adult comorbidities and substance abuse. Clustering of the factor scores revealed five stable clusters of individuals, associated with specific risk factors and outcomes. The presentation and course of schizophrenia may be associated with heterogeneity in etiological factors including family history of mental disorders.
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Affiliation(s)
- Morten Dybdahl Krebs
- Institute of Biological Psychiatry, Mental Health Centre Sct Hans, Mental Health Services Capital Region of Denmark, Copenhagen, Denmark
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
| | - Gonçalo Espregueira Themudo
- Institute of Biological Psychiatry, Mental Health Centre Sct Hans, Mental Health Services Capital Region of Denmark, Copenhagen, Denmark
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
| | - Michael Eriksen Benros
- Copenhagen Research Centre for Mental Health, Mental Health Centre Copenhagen, Copenhagen University Hospital, Copenhagen, Denmark
- Department of Immunology and Microbiology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Ole Mors
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Aarhus University Hospital, Risskov, Denmark
| | - Anders D Børglum
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Department of Biomedicine and iSEQ-Centre for Integrative Sequencing, Aarhus University, Aarhus, Denmark
- Center for Genomics and Personalized Medicine, Aarhus University, Aarhus, Denmark
| | - David Hougaard
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
| | - Preben Bo Mortensen
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Center for Genomics and Personalized Medicine, Aarhus University, Aarhus, Denmark
- National Centre for Register-Based Research, Aarhus University, Business and Social Sciences, Aarhus, Denmark
| | - Merete Nordentoft
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Copenhagen Research Centre for Mental Health, Mental Health Centre Copenhagen, Copenhagen University Hospital, Copenhagen, Denmark
| | - Michael J Gandal
- Department of Neurology, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Human Genetics, University of California, Los Angeles, Los Angeles, CA, USA
- Center for Autism Research and Treatment, Semel Institute, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Chun Chieh Fan
- Institute of Biological Psychiatry, Mental Health Centre Sct Hans, Mental Health Services Capital Region of Denmark, Copenhagen, Denmark
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Center for Human Development, University of California, San Diego, CA, USA
| | - Daniel H Geschwind
- Department of Neurology, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Human Genetics, University of California, Los Angeles, Los Angeles, CA, USA
- Center for Autism Research and Treatment, Semel Institute, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Program in Neurobehavioral Genetics, Semel Institute, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Andrew J Schork
- Institute of Biological Psychiatry, Mental Health Centre Sct Hans, Mental Health Services Capital Region of Denmark, Copenhagen, Denmark
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Neurogenomics Division, The Translational Genomics Research Institute (TGEN), Phoenix, AZ, USA
| | - Thomas Werge
- Institute of Biological Psychiatry, Mental Health Centre Sct Hans, Mental Health Services Capital Region of Denmark, Copenhagen, Denmark.
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark.
- Center for GeoGenetics, Globe Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
| | - Wesley K Thompson
- Institute of Biological Psychiatry, Mental Health Centre Sct Hans, Mental Health Services Capital Region of Denmark, Copenhagen, Denmark
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Division of Biostatistics and Department of Radiology, Population Neuroscience and Genetics Lab, University of California, San Diego, CA, 92093, USA
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41
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Capdevielle D, Norton J, Aouizerate B, Berna F, Chereau I, D'Amato T, Dubertret C, Dubreucq J, Fond G, C L, Mallet J, Misdrahi D, Passerieux C, Rey R, Schurhoff F, Urbach M, Llorca PM, Raffard S. Comparison of three scales (BIS, SUMD and BCIS) for measuring insight dimensions and their evolution after one-year of follow-up: Findings from the FACE-SZ Cohort. Psychiatry Res 2021; 303:114044. [PMID: 34161854 DOI: 10.1016/j.psychres.2021.114044] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Accepted: 05/30/2021] [Indexed: 11/18/2022]
Abstract
The aim of our study was to compare the performance of three different instruments measuring clinical and cognitive dimensions of insight. Data on 182 outpatients with schizophrenia and one-year follow-up assessments was drawn from the FACE-SZ cohort. Awareness of clinical state (« clinical insight ») was measured using both a clinician-rated measure (the Scale to assess Unawareness of Mental Disorder (SUMD)), and a self-report measure (the Birchwood Insight Scale (BIS). Cognitive insight was measured using a self-report measure (the Beck Cognitive Insight Scale (BCIS)). For each scale, change in insight was examined at the follow-up. Correlations between SUMD and BIS subscales measuring same dimensions were significant. BIS-BCIS correlations were weak for all combinations except between BIS illness dimension and BCIS composite score. At the follow-up, BIS and SUMD awareness of treatment need improved whereas illness and symptom awareness increased only on the SUMD. Conversely, cognitive insight composite scores decreased. Despite relatively good overall agreement between the two clinical insight instruments, considerable variability for similar insight dimensions measured by different instruments was found. Agreement between cognitive and clinical insight is moderate. Our study strengthens the argument that insight is harder to operationalize than other symptoms and may explain why it is so seldom explicitly targeted in schizophrenia treatment.
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Affiliation(s)
- Delphine Capdevielle
- Fondation FondaMental, Créteil, France; Service Universitaire de Psychiatrie Adulte, Hôpital la Colombière, CHU Montpellier, Montpellier, France; IGF, Univ. Montpellier, CNRS, INSERM, Montpellier, France.
| | - Joanna Norton
- University of Montpellier, Institute for Neurosciences of Montpellier (INM), INSERM, Montpellier, France
| | - Bruno Aouizerate
- Fondation FondaMental, Créteil, France; Centre Hospitalier Charles Perrens, Université de Bordeaux, F-33076 Bordeaux, France; Bordeaux Sleep Clinique, Pellegrin University Hospital, Bordeaux University, USR CNRS 3413 SANPSY, Research Unit, 33000 Bordeaux, France; Inserm, Neurocentre Magendie, Physiopathologie de la Plasticité Neuronale, U862, F-33000 Bordeaux, France
| | - Fabrice Berna
- Fondation FondaMental, Créteil, France; Hôpitaux Universitaires de Strasbourg, Université de Strasbourg, INSERM U1114, Fédération de Médecine Translationnelle de Strasbourg, Strasbourg, France
| | - Isabelle Chereau
- Fondation FondaMental, Créteil, France; Clermont-Ferrand University Hospital, EA 7280 Auvergne University, BP 69 63003 Clermont-Ferrand Cedex 1, France
| | - Thierry D'Amato
- Fondation FondaMental, Créteil, France; INSERM U1028, CNRS UMR5292, Centre de Recherche en Neurosciences de Lyon, Université Claude Bernard Lyon 1, Equipe PSYR2, Centre Hospitalier Le Vinatier, Pole Est, 95 bd Pinel, BP 30039, 69678 Bron Cedex, France
| | - Caroline Dubertret
- Fondation FondaMental, Créteil, France; AP-HP, Department of Psychiatry, Louis Mourier Hospital, Colombes, Inserm U894, Université Paris Diderot, Sorbonne Paris Cité, Faculté de médecine, France
| | - Julien Dubreucq
- Fondation FondaMental, Créteil, France; Centre Référent de Réhabilitation Psychosociale, CH Alpes Isère, Grenoble, France
| | - Guillaume Fond
- Fondation FondaMental, Créteil, France; AP-HM, la Conception Hospital, Aix-Marseille Univ, School of medicine - La Timone Medical Campus, EA 3279: CEReSS - Health Service Research and Quality of Life Center, 27 Boulevard Jean Moulin, 13005 Marseille, France
| | - Lançon C
- Fondation FondaMental, Créteil, France; Pôle psychiatrie universitaire, CHU Sainte-Marguerite, F-13274 Marseille cedex 09, France
| | - Jasmina Mallet
- Fondation FondaMental, Créteil, France; AP-HP, Department of Psychiatry, Louis Mourier Hospital, Colombes, Inserm U894, Université Paris Diderot, Sorbonne Paris Cité, Faculté de médecine, France
| | - David Misdrahi
- Fondation FondaMental, Créteil, France; Department of Adult Psychiatry, Charles Perrens Hospital, F-33076 Bordeaux; University of Bordeaux, CNRS UMR 5287-INCIA, Bordeaux, France
| | - Catherine Passerieux
- Fondation FondaMental, Créteil, France; Service de psychiatrie d'adulte, Centre Hospitalier de Versailles, UFR des Sciences de la Santé Simone Veil, Université Versailles Saint-Quentin en Yvelines, Versailles, France
| | - Romain Rey
- Fondation FondaMental, Créteil, France; INSERM U1028, CNRS UMR5292, Centre de Recherche en Neurosciences de Lyon, Université Claude Bernard Lyon 1, Equipe PSYR2, Centre Hospitalier Le Vinatier, Pole Est, 95 bd Pinel, BP 30039, 69678 Bron Cedex, France
| | - Franck Schurhoff
- Fondation FondaMental, Créteil, France; INSERM U955, Translational Psychiatry Team, DHU Pe-PSY, Centre Expert Schizophrénie, Pôle de Psychiatrie et d'Addictologie des Hôpitaux Universitaires Henri Mondor, Paris Est University, 40 rue de Mesly, 94000 Créteil, France
| | - Mathieu Urbach
- Fondation FondaMental, Créteil, France; Service de psychiatrie d'adulte, Centre Hospitalier de Versailles, UFR des Sciences de la Santé Simone Veil, Université Versailles Saint-Quentin en Yvelines, Versailles, France
| | - Pierre-Michel Llorca
- Fondation FondaMental, Créteil, France; Clermont-Ferrand University Hospital, EA 7280 Auvergne University, BP 69 63003 Clermont-Ferrand Cedex 1, France
| | - Stéphane Raffard
- Service Universitaire de Psychiatrie Adulte, Hôpital la Colombière, CHU Montpellier, Montpellier, France; Univ Paul Valéry Montpellier 3, Univ. Montpellier, EPSYLON EA, Montpellier, France
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Dawidowski B, Górniak A, Podwalski P, Lebiecka Z, Misiak B, Samochowiec J. The Role of Cytokines in the Pathogenesis of Schizophrenia. J Clin Med 2021; 10:jcm10173849. [PMID: 34501305 PMCID: PMC8432006 DOI: 10.3390/jcm10173849] [Citation(s) in RCA: 45] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Revised: 08/21/2021] [Accepted: 08/24/2021] [Indexed: 02/07/2023] Open
Abstract
Schizophrenia is a chronic mental illness of unknown etiology. A growing and compelling body of evidence implicates immunologic dysfunction as the key element in its pathomechanism. Cytokines, whose altered levels have been increasingly reported in various patient populations, are the major mediators involved in the coordination of the immune system. The available literature reports both elevated levels of proinflammatory as well as reduced levels of anti-inflammatory cytokines, and their effects on clinical status and neuroimaging changes. There is evidence of at least a partial genetic basis for the association between cytokine alterations and schizophrenia. Two other factors implicated in its development include early childhood trauma and disturbances in the gut microbiome. Moreover, its various subtypes, characterized by individual symptom severity and course, such as deficit schizophrenia, seem to differ in terms of changes in peripheral cytokine levels. While the use of a systematic review methodology could be difficult due to the breadth and diversity of the issues covered in this review, the applied narrative approach allows for a more holistic presentation. The aim of this narrative review was to present up-to-date evidence on cytokine dysregulation in schizophrenia, its effect on the psychopathological presentation, and links with antipsychotic medication. We also attempted to summarize its postulated underpinnings, including early childhood trauma and gut microbiome disturbances, and propose trait and state markers of schizophrenia.
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Affiliation(s)
- Bartosz Dawidowski
- Department of Psychiatry, Pomeranian Medical University, 71-460 Szczecin, Poland; (B.D.); (A.G.); (J.S.)
| | - Adrianna Górniak
- Department of Psychiatry, Pomeranian Medical University, 71-460 Szczecin, Poland; (B.D.); (A.G.); (J.S.)
| | - Piotr Podwalski
- Department of Psychiatry, Pomeranian Medical University, 71-460 Szczecin, Poland; (B.D.); (A.G.); (J.S.)
- Correspondence: ; Tel.: +48-510-091-466
| | - Zofia Lebiecka
- Department of Health Psychology, Pomeranian Medical University, 71-210 Szczecin, Poland;
| | - Błażej Misiak
- Department of Psychiatry, Division of Consultation Psychiatry and Neuroscience, Medical University, 50-367 Wroclaw, Poland;
| | - Jerzy Samochowiec
- Department of Psychiatry, Pomeranian Medical University, 71-460 Szczecin, Poland; (B.D.); (A.G.); (J.S.)
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43
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Abstract
Bipolar disorder (BD) is a highly disabling mental illness that affects approximately 1% of the global population. Cognitive capacity is a strong predictor of "everyday" functional outcome in BD and should thus be considered a key treatment target. Interventions to improve cognition have been largely unsuccessful, likely due to the substantial heterogeneity inherent to the illness. It is known that 40%-60% of people with BD have cognitive impairment, yet impairment is not "one size fits all"; in fact, the literature supports discrete cognitive subtypes in BD (e.g., intact, globally impaired, and selectively impaired). Gaining a better understanding of these cognitive subtypes, their longitudinal trajectories, and their biological underpinnings will be essential for improving patient outcomes. The prevailing hypothesis for the development of cognitive impairment in BD postulates a stepwise cumulative effect of repeated mood episodes causing wear-and-tear on the brain. However, a paucity of data supports this idea at the group level. We propose that studying heterogeneity longitudinally will allow for clearer delineation of the natural history of cognitive trajectories in BD. In sum, parsing heterogeneity in BD will allow us to identify causal mechanisms and optimize treatment at the level of the individual.
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Cognitive subtypes in recent onset psychosis: distinct neurobiological fingerprints? Neuropsychopharmacology 2021; 46:1475-1483. [PMID: 33723384 PMCID: PMC8209013 DOI: 10.1038/s41386-021-00963-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Revised: 12/16/2020] [Accepted: 01/05/2021] [Indexed: 01/31/2023]
Abstract
In schizophrenia, neurocognitive subtypes can be distinguished based on cognitive performance and they are associated with neuroanatomical alterations. We investigated the existence of cognitive subtypes in shortly medicated recent onset psychosis patients, their underlying gray matter volume patterns and clinical characteristics. We used a K-means algorithm to cluster 108 psychosis patients from the multi-site EU PRONIA (Prognostic tools for early psychosis management) study based on cognitive performance and validated the solution independently (N = 53). Cognitive subgroups and healthy controls (HC; n = 195) were classified based on gray matter volume (GMV) using Support Vector Machine classification. A cognitively spared (N = 67) and impaired (N = 41) subgroup were revealed and partially independently validated (Nspared = 40, Nimpaired = 13). Impaired patients showed significantly increased negative symptomatology (pfdr = 0.003), reduced cognitive performance (pfdr < 0.001) and general functioning (pfdr < 0.035) in comparison to spared patients. Neurocognitive deficits of the impaired subgroup persist in both discovery and validation sample across several domains, including verbal memory and processing speed. A GMV pattern (balanced accuracy = 60.1%, p = 0.01) separating impaired patients from HC revealed increases and decreases across several fronto-temporal-parietal brain areas, including basal ganglia and cerebellum. Cognitive and functional disturbances alongside brain morphological changes in the impaired subgroup are consistent with a neurodevelopmental origin of psychosis. Our findings emphasize the relevance of tailored intervention early in the course of psychosis for patients suffering from the likely stronger neurodevelopmental character of the disease.
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45
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Functional connectivity of cerebellar dentate nucleus and cognitive impairments in patients with drug-naive and first-episode schizophrenia. Psychiatry Res 2021; 300:113937. [PMID: 33895443 DOI: 10.1016/j.psychres.2021.113937] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2021] [Accepted: 04/11/2021] [Indexed: 12/17/2022]
Abstract
Cognitive impairments are the hallmark of schizophrenia and prominent in the early episode stage. However, the underlying pathological mechanisms of cognitive impairments are not fully understood. This study aimed to investigate the abnormal functional connectivity (FC) of the cerebellar dentate nucleus (DN) and its correlation with cognitive impairments in patients with drug-naive and first-episode schizophrenia. Resting-state functional magnetic resonance imaging data were acquired in 47 patients and 43 healthy controls. Cognitive functions were assessed by number sequence span, verbal category fluency, digit-symbol coding tests. The results showed that the patients had deficits in all three cognitive tests compared to the controls. Furthermore, the increased FC of DN with the bilateral postcentral gyrus and decreased FC of DN with the right inferior temporal gyrus and regional cerebellum (e.g., Vermis 4-5 and Crus I) were observed in the patient group compared to the control group. Importantly, these abnormal DN FC significantly correlated with cognitive tests (e.g., number sequence span and digit-symbol coding) and clinical symptoms (e.g., negative symptom) in the patient group. The results suggested that abnormal FC of DN with cortical and subcortical regions was associated with cognitive impairments and symptom severity and might be an underlying neural mechanism in schizophrenia.
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46
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Mamah D, Mutiso VN, Ndetei DM. Neurocognition in Kenyan youth at clinical high risk for psychosis. SCHIZOPHRENIA RESEARCH-COGNITION 2021; 25:100198. [PMID: 34094888 PMCID: PMC8167199 DOI: 10.1016/j.scog.2021.100198] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/21/2021] [Revised: 04/09/2021] [Accepted: 04/10/2021] [Indexed: 11/27/2022]
Abstract
Introduction Cognitive deficits are typically seen in schizophrenia and in the prodrome, and are a major predictor of functional outcomes in patients. In Africa, few studies have investigated neurocognition in psychosis, which presents a gap in our understanding of the heterogeneity of the illness. In this study, we assessed neurocognition among the largest sample of psychosis-risk participants recruited in the continent to date. Methods The study was conducted in Kenya, and involved 295 psychiatric medication-naïve participants at clinical high-risk (CHR) for psychosis and healthy controls, aged 15–25 yrs. Psychosis-risk status was determined separately using the Structured Interview of Psychosis-Risk Syndromes (i.e. CHR) and by self-report with the Washington Early Recognition Center Affectivity and Psychosis Screen. Eleven tests were administered using the University of Pennsylvania Computerized Neurocognitive Battery. Test performance across groups were investigated, as well as demographic and clinical effects. Results Fewer participants were designated as being at psychosis-risk with structured interview (n = 47; CHR) than with self-report (n = 155). A MANOVA of cognitive test performance was significant only when groups were ascertained based on self-report (p = 0.03), with decreased performance in the risk group on verbal intelligence (p = 0.003; d = 0.39), emotion recognition (p = 0.003; d = 0.36), sensorimotor processing (p = 0.01; d = 0.31) and verbal memory (p = 0.035; d = 0.21). Only verbal intelligence was significantly worse in the CHR group compared to controls (p = 0.036; d = 0.45). There were no significant age and gender relationships. Conclusion Deficits across multiple cognitive domains are present in Kenyan psychosis-risk youth, most significantly in verbal intelligence. The pattern of cognitive deficits and an absence of gender effects may represent ethnicity-specific phenotypes of the psychosis-risk state. Longitudinal studies of neurocognition in Kenyan patients who convert to psychosis may enhance risk prediction in this population, and facilitate targeted interventions.
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Affiliation(s)
- Daniel Mamah
- Department of Psychiatry, Washington University Medical School, St. Louis, MO, United States of America
| | - Victoria N Mutiso
- Africa Mental Health Research and Training Foundation, Nairobi, Kenya
| | - David M Ndetei
- Africa Mental Health Research and Training Foundation, Nairobi, Kenya.,Department of Psychiatry, University of Nairobi, Kenya
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Abstract
Schizophrenia is a severe and clinically heterogenous mental disorder
affecting approximately 1% of the population worldwide. Despite
tremendous achievements in the field of schizophrenia research, its
precise aetiology remains elusive. Besides dysfunctional neuronal
signalling, the pathophysiology of schizophrenia appears to involve
molecular and functional abnormalities in glial cells, including
astrocytes. This article provides a concise overview of the current
evidence supporting altered astrocyte activity in schizophrenia, which
ranges from findings obtained from post-mortem immunohistochemical
analyses, genetic association studies and transcriptomic
investigations, as well as from experimental investigations of
astrocyte functions in animal models. Integrating the existing data
from these research areas strongly suggests that astrocytes have the
capacity to critically affect key neurodevelopmental and homeostatic
processes pertaining to schizophrenia pathogenesis, including
glutamatergic signalling, synaptogenesis, synaptic pruning and
myelination. The further elucidation of astrocytes functions in health
and disease may, therefore, offer new insights into how these glial
cells contribute to abnormal brain development and functioning
underlying this debilitating mental disorder.
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Affiliation(s)
- Tina Notter
- Tina Notter, Institute of
Pharmacology and Toxicology, University of Zurich-Vetsuisse, Zurich,
Switzerland. Emails: ;
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48
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Neurofilaments as Emerging Biomarkers of Neuroaxonal Damage to Differentiate Behavioral Frontotemporal Dementia from Primary Psychiatric Disorders: A Systematic Review. Diagnostics (Basel) 2021; 11:diagnostics11050754. [PMID: 33922390 PMCID: PMC8146697 DOI: 10.3390/diagnostics11050754] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Revised: 04/19/2021] [Accepted: 04/20/2021] [Indexed: 11/21/2022] Open
Abstract
The behavioral variant of frontotemporal dementia (bvFTD) is a clinical syndrome resulting from various causes of neuronal demises associated with frontotemporal lobar degeneration. Symptoms include behavioral and personality changes, social cognitive impairment, and executive function deficits. There is a significant clinical overlap between this syndrome and various primary psychiatric disorders (PPD). Structural and functional neuroimaging are considered helpful to support the diagnosis of bvFTD, but their sensitivity and specificity remain imperfect. There is growing evidence concerning the potential of neurofilaments as biomarkers reflecting axonal and neuronal lesions. Ultrasensitive analytic platforms have recently enabled neurofilament light chains’ (NfL) detection not only from cerebrospinal fluid but also from peripheral blood samples in FTD patients. In this short review, we present recent advances and perspectives for the use of NfL assessments as biomarkers of neuroaxonal damage to differentiate bvFTD from primary psychiatric disorders.
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Barnes-Scheufler CV, Passow C, Rösler L, Mayer JS, Oertel V, Kittel-Schneider S, Matura S, Reif A, Bittner RA. Transdiagnostic comparison of visual working memory capacity in bipolar disorder and schizophrenia. Int J Bipolar Disord 2021; 9:12. [PMID: 33797645 PMCID: PMC8018920 DOI: 10.1186/s40345-020-00217-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Accepted: 12/22/2020] [Indexed: 02/23/2023] Open
Abstract
BACKGROUND Impaired working memory is a core cognitive deficit in both bipolar disorder and schizophrenia. Its study might yield crucial insights into the underpinnings of both disorders on the cognitive and neurophysiological level. Visual working memory capacity is a particularly promising construct for such translational studies. However, it has not yet been investigated across the full spectrum of both disorders. The aim of our study was to compare the degree of reductions of visual working memory capacity in patients with bipolar disorder (PBD) and patients with schizophrenia (PSZ) using a paradigm well established in cognitive neuroscience. METHODS 62 PBD, 64 PSZ, and 70 healthy controls (HC) completed a canonical visual change detection task. Participants had to encode the color of four circles and indicate after a short delay whether the color of one of the circles had changed or not. We estimated working memory capacity using Pashler's K. RESULTS Working memory capacity was significantly reduced in both PBD and PSZ compared to HC. We observed a small effect size (r = .202) for the difference between HC and PBD and a medium effect size (r = .370) for the difference between HC and PSZ. Working memory capacity in PSZ was also significantly reduced compared to PBD with a small effect size (r = .201). Thus, PBD showed an intermediate level of impairment. CONCLUSIONS These findings provide evidence for a gradient of reduced working memory capacity in bipolar disorder and schizophrenia, with PSZ showing the strongest degree of impairment. This underscores the importance of disturbed information processing for both bipolar disorder and schizophrenia. Our results are compatible with the cognitive manifestation of a neurodevelopmental gradient affecting bipolar disorder to a lesser degree than schizophrenia. They also highlight the relevance of visual working memory capacity for the development of both behavior- and brain-based transdiagnostic biomarkers.
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Affiliation(s)
- Catherine V Barnes-Scheufler
- Department of Psychiatry, Psychosomatic Medicine, and Psychotherapy, University Hospital Frankfurt, Goethe University, Heinrich-Hoffmann-Str. 10, 60528, Frankfurt am Main, Germany
| | - Caroline Passow
- Department of Psychiatry, Psychosomatic Medicine, and Psychotherapy, University Hospital Frankfurt, Goethe University, Heinrich-Hoffmann-Str. 10, 60528, Frankfurt am Main, Germany
| | - Lara Rösler
- Department of Psychiatry, Psychosomatic Medicine, and Psychotherapy, University Hospital Frankfurt, Goethe University, Heinrich-Hoffmann-Str. 10, 60528, Frankfurt am Main, Germany.,Netherlands Institute for Neuroscience, Amsterdam, The Netherlands
| | - Jutta S Mayer
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Frankfurt, Goethe University, Frankfurt am Main, Germany
| | - Viola Oertel
- Department of Psychiatry, Psychosomatic Medicine, and Psychotherapy, University Hospital Frankfurt, Goethe University, Heinrich-Hoffmann-Str. 10, 60528, Frankfurt am Main, Germany
| | - Sarah Kittel-Schneider
- Department of Psychiatry, Psychosomatic Medicine, and Psychotherapy, University Hospital Frankfurt, Goethe University, Heinrich-Hoffmann-Str. 10, 60528, Frankfurt am Main, Germany.,Department of Psychiatry, Psychosomatic Medicine, and Psychotherapy, University Hospital Würzburg, Würzburg, Germany
| | - Silke Matura
- Department of Psychiatry, Psychosomatic Medicine, and Psychotherapy, University Hospital Frankfurt, Goethe University, Heinrich-Hoffmann-Str. 10, 60528, Frankfurt am Main, Germany
| | - Andreas Reif
- Department of Psychiatry, Psychosomatic Medicine, and Psychotherapy, University Hospital Frankfurt, Goethe University, Heinrich-Hoffmann-Str. 10, 60528, Frankfurt am Main, Germany
| | - Robert A Bittner
- Department of Psychiatry, Psychosomatic Medicine, and Psychotherapy, University Hospital Frankfurt, Goethe University, Heinrich-Hoffmann-Str. 10, 60528, Frankfurt am Main, Germany. .,Ernst Strüngmann Institute for Neuroscience (ESI) in Cooperation with Max Planck Society, Frankfurt am Main, Germany.
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50
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Chen S, Liu Y, Liu D, Zhang G, Wu X. The difference of social cognitive and neurocognitive performance between patients with schizophrenia at different stages and influencing factors. Schizophr Res Cogn 2021; 24:100195. [PMID: 33718008 PMCID: PMC7933534 DOI: 10.1016/j.scog.2021.100195] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2020] [Revised: 02/12/2021] [Accepted: 02/14/2021] [Indexed: 01/12/2023]
Abstract
Objects To explore the specific features of cognitive function in patients with schizophrenia at different stages and its influencing factors. Methods The MATRICS Consensus Cognitive Battery (MCCB) and the Brief Psychiatric Rating Scale (BPRS) were administered to 208 patients with schizophrenia, including 158 clinically stable schizophrenia (CSS) and 50 first-episode patients with schizophrenia (FES), and 40 healthy controls (HC). Propensity score matching (PSM) was used to match the CSS and FES. Results (1) The MCCB and it,s sub-scale scores in patients with schizophrenia were lower than HC, but the score of emotion intelligence showed no significant difference between CSS and HC. (2) Before PSM, the cognitive scores of FES were significantly lower than CSS (except trail making A test, Hopkins verbal learning, category fluency). After PSM, patients with CSS still do better in performing trail making A test, emotional intelligence, continuous performances and MCCB total score. (3) BPRS total score, gender, group (FES vs CSS) and age were independent contributors to emotion intelligence, and BPRS total score had the biggest effect. (4) The effect of group (FES vs CSS) on MCCB total score and emotional intelligence was statistically significant. Conclusions There are significant cognitive deficits in patients with FES and CSS compared with HC. FES have greater cognitive impairments compared with CSS. Emotion intelligence of CSS may be even close to the level of HC. BPRS total score, gender, group (FES vs CSS) and age may be the independent contributors to social cognition. Group (FES vs CSS) may play an important effect on general cognition and social cognition.
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Affiliation(s)
- Shengyun Chen
- Psychiatry Department, The 3rd Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Yaxi Liu
- Psychiatry Department, The 3rd Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Dennis Liu
- Northern Adelaide Local Health Network, Adelaide, SA, Australia.,Discipline of Psychiatry, School of Medicine, University of Adelaide, South Australia, Australia
| | - Guican Zhang
- Psychiatry Department, The 3rd Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Xiaoli Wu
- Psychiatry Department, The 3rd Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
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