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McCutcheon RA, Keefe RSE, McGuire PK. Cognitive impairment in schizophrenia: aetiology, pathophysiology, and treatment. Mol Psychiatry 2023; 28:1902-1918. [PMID: 36690793 PMCID: PMC10575791 DOI: 10.1038/s41380-023-01949-9] [Citation(s) in RCA: 91] [Impact Index Per Article: 91.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Revised: 01/03/2023] [Accepted: 01/06/2023] [Indexed: 01/25/2023]
Abstract
Cognitive deficits are a core feature of schizophrenia, account for much of the impaired functioning associated with the disorder and are not responsive to existing treatments. In this review, we first describe the clinical presentation and natural history of these deficits. We then consider aetiological factors, highlighting how a range of similar genetic and environmental factors are associated with both cognitive function and schizophrenia. We then review the pathophysiological mechanisms thought to underlie cognitive symptoms, including the role of dopamine, cholinergic signalling and the balance between GABAergic interneurons and glutamatergic pyramidal cells. Finally, we review the clinical management of cognitive impairments and candidate novel treatments.
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Affiliation(s)
- Robert A McCutcheon
- Department of Psychiatry, University of Oxford, Oxford, UK.
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, London, UK.
- Oxford health NHS Foundation Trust, Oxford health NHS Foundation Trust, Oxford, UK.
| | - Richard S E Keefe
- Departments of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC, USA
| | - Philip K McGuire
- Department of Psychiatry, University of Oxford, Oxford, UK
- Oxford health NHS Foundation Trust, Oxford health NHS Foundation Trust, Oxford, UK
- NIHR Oxford Health Biomedical Research Centre, Oxford, UK
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2
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Sportel BE, van Enthoven M, van Donkersgoed RJM, Kuis DJ, van de Giessen T, Lysaker PH, Hasson-Ohayon I, de Jong S, Boonstra N, Pijnenborg GHM. Self-stigma and cognitive insight in individuals at ultra-high risk for psychosis. Front Psychiatry 2023; 14:1154284. [PMID: 37124265 PMCID: PMC10133542 DOI: 10.3389/fpsyt.2023.1154284] [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: 01/30/2023] [Accepted: 03/22/2023] [Indexed: 05/02/2023] Open
Abstract
Background Impaired cognitive insight and increased self-stigma have been consistently reported in individuals diagnosed with schizophrenia spectrum disorders, but little is known about its presence in individuals at ultra-high risk of developing a psychosis, although self-stigma is associated with transition.to psychosis. The current study examined whether self-stigma is already present in individuals at ultra-high risk of psychosis, and whether this is associated with impaired cognitive insight. Methods 184 participants were recruited divided over three groups, namely individuals diagnosed with a schizophrenia spectrum disorder (SSD; n = 92, 34% females), individuals at ultra-high risk for psychosis (UHR; n = 43, 59% females) and general population controls (GPC; n = 49, 27% females). All participants completed assessments on demographic information (gender, age, education), and cognitive insight. In addition, participants with SSD and individuals at UHR completed a questionnaire on self-stigma. Results The level of self-stigma did not differ between individuals at UHR and individuals diagnosed with SSD. Cognitive insight also did not differ significantly between the three groups, but the subscale self-reflection differed between the three groups [F(2,184) = 4.20, p = 0.02], with the UHR and SSD groups showing more self-reflection. Pearson's correlation analyses showed that in individuals at UHR total cognitive insight and its self-reflection subscale were significantly associated with the alienation subscale of self-stigma, and in individuals with SSD self-certainty subscale of cognitive insight was significantly associated with stereotype endorsement. Conclusion Findings show that self-stigma was already present in the UHR phase, to a similar degree as in individuals with a diagnosis of a SSD, and is thus not dependent of previous experience of having a label of SSD. Cognitive insight in individuals at UHR of psychosis appears to be intact, but individuals at UHR showed more self-reflectiveness, and individuals at risk with high cognitive insight also experience high levels of self-stigma. Overall findings from our study suggest that pre-emptive interventions targeting self-stigma, while considering cognitive insight, are needed early on in manifestation of psychotic illness, preferably already in the UHR phase.
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Affiliation(s)
- Bouwina Esther Sportel
- Department of Psychotic Disorders, GGZ Drenthe Mental Health Institute, Assen, Netherlands
- *Correspondence: Bouwina Esther Sportel,
| | - Mirjam van Enthoven
- Department of Psychotic Disorders, GGZ Drenthe Mental Health Institute, Assen, Netherlands
| | - Rozanne J. M. van Donkersgoed
- Department of Clinical and Developmental Neuropsychology, Faculty of Behavioral and Social Sciences, University of Groningen, Groningen, Netherlands
| | - Daan Jan Kuis
- Department of Psychotic Disorders, GGZ Drenthe Mental Health Institute, Assen, Netherlands
| | - Tara van de Giessen
- Department of Psychotic Disorders, GGZ Drenthe Mental Health Institute, Assen, Netherlands
| | - Paul H. Lysaker
- Department of Psychiatry, Richard L. Roudebush VA Medical Center, Indianapolis, IN, United States
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, United States
| | | | | | - Nynke Boonstra
- KieN Early Intervention Service, Leeuwarden, Netherlands
- Research Group Care and Innovation in Psychiatry, NHL Stenden University for Applied Sciences, Leeuwarden, Netherlands
- Department of Psychiatry, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, Netherlands
| | - Gerdina H. M. Pijnenborg
- Department of Psychotic Disorders, GGZ Drenthe Mental Health Institute, Assen, Netherlands
- Department of Clinical and Developmental Neuropsychology, Faculty of Behavioral and Social Sciences, University of Groningen, Groningen, Netherlands
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3
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Anuroj K, Chongbanyatcharoen S, Chiencharoenthanakij R. "Severe Anemia: A Case Report of an Uncommon Precipitant of Schizophrenia Relapse". J Blood Med 2023; 14:329-336. [PMID: 37123984 PMCID: PMC10132291 DOI: 10.2147/jbm.s407722] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Accepted: 04/11/2023] [Indexed: 05/02/2023] Open
Abstract
A 48-year-old patient with stable residual schizophrenia experienced a syndromic psychosis relapse following an episode of severe combined immunohemolytic and pure red cell aplastic anemia, with a hemoglobin level of 4.7 g/dl. The anemia was attributed to her anti-HIV medication zidovudine. Her HIV infection had been well-controlled; no other organic precipitant of the psychosis was found. Following transfusion of 2 units of leukocyte-poor packed red cells, schizophrenia symptoms promptly recovered to her baseline. This was maintained at 3- and 6-month follow-ups without any need for antipsychotic dose adjustment. Following zidovudine discontinuation and a short course of oral prednisolone, her anemia gradually recovered.
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Affiliation(s)
- Krittisak Anuroj
- Department of Psychiatry, Faculty of Medicine, Srinakharinwirot University, Nakhon Nayok, Thailand
- Correspondence: Krittisak Anuroj, Department of Psychiatry, Faculty of Medicine, Srinakharinwirot University, 62 Moo 7 Ongkharak Subdistrict, Ongkharak District, Nakhon Nayok, 26120, Thailand, Tel +6637385085 Ext. 60804, Email
| | - Siwat Chongbanyatcharoen
- Department of Psychiatry, Faculty of Medicine, Srinakharinwirot University, Nakhon Nayok, Thailand
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Karcher NR, Merchant J, Pine J, Kilciksiz CM. Cognitive Dysfunction as a Risk Factor for Psychosis. Curr Top Behav Neurosci 2022; 63:173-203. [PMID: 35989398 DOI: 10.1007/7854_2022_387] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
The current chapter summarizes recent evidence for cognition as a risk factor for the development of psychosis, including the range of cognitive impairments that exist across the spectrum of psychosis risk symptoms. The chapter examines several possible theories linking cognitive deficits with the development of psychotic symptoms, including evidence that cognitive deficits may be an intermediate risk factor linking genetic and/or neural metrics to psychosis spectrum symptoms. Although there is not strong evidence for unique cognitive markers associated specifically with psychosis compared to other forms of psychopathology, psychotic disorders are generally associated with the greatest severity of cognitive deficits. Cognitive deficits precede the development of psychotic symptoms and may be detectable as early as childhood. Across the psychosis spectrum, both the presence and severity of psychotic symptoms are associated with mild to moderate impairments across cognitive domains, perhaps most consistently for language, cognitive control, and working memory domains. Research generally indicates the size of these cognitive impairments worsens as psychosis symptom severity increases. The chapter points out areas of unclarity and unanswered questions in each of these areas, including regarding the mechanisms contributing to the association between cognition and psychosis, the timing of deficits, and whether any cognitive systems can be identified that function as specific predictors of psychosis risk symptoms.
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Affiliation(s)
- Nicole R Karcher
- Department of Psychiatry, School of Medicine, Washington University in St. Louis, St. Louis, MO, USA.
| | - Jaisal Merchant
- Department of Brain and Psychological Sciences, Washington University in St. Louis, St. Louis, MO, USA
| | - Jacob Pine
- Department of Brain and Psychological Sciences, Washington University in St. Louis, St. Louis, MO, USA
| | - Can Misel Kilciksiz
- Department of Psychiatry, School of Medicine, Washington University in St. Louis, St. Louis, MO, USA
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5
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Xu L, Cui H, Wei Y, Qian Z, Tang X, Hu Y, Wang Y, Hu H, Guo Q, Tang Y, Zhang T, Wang J. Relationships between self-reflectiveness and clinical symptoms in individuals during pre-morbid and early clinical stages of psychosis. Gen Psychiatr 2022; 35:e100696. [PMID: 35721834 PMCID: PMC9161056 DOI: 10.1136/gpsych-2021-100696] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Accepted: 04/29/2022] [Indexed: 11/24/2022] Open
Abstract
Background Self-reflectiveness, one dimension of cognitive insight, plays a protective role in an individual's mental state. Both high and low levels of self-reflectiveness have been reported in patients with schizophrenia and individuals at clinical high risk for the illness. Aims This study aimed to explore the relationship patterns between self-reflectiveness and clinical symptoms in individuals during the pre-morbid and early clinical stages of psychosis. Methods A total of 181 subjects, including individuals with attenuated positive symptoms (APS, n=122) and patients with first-episode psychosis (FEP, n=59), completed the Beck Cognitive Insight Scale and were evaluated using the Schedule of Assessment of Insight and Positive and Negative Syndrome Scale. All subjects were classified into three groups according to their level of self-reflectiveness: low level (LSR, n=59), medium level (MSR, n=67) and high level (HSR, n=55). Both linear and non-linear relationships between self-reflectiveness and clinical symptoms were explored. Results More individuals with APS were classified into the MSR group, while more patients with FEP were classified into the LSR group. The LSR group demonstrated less awareness of illness than the MSR and HSR groups, more stereotyped thinking and poorer impulse control but less anxiety than the MSR group, and lower levels of blunted affect and guilt feelings than the HSR group. The MSR group demonstrated lower stereotyped thinking than the HSR group. Compared to the LSR group, the MSR group had increased self-reflectiveness, improved awareness of illness, decreased stereotyped thinking, and better impulse control, but increased feelings of guilt. The HSR group showed increased stereotyped thinking when compared to the MSR group, but the other variables did not change significantly between these two groups. Overall, self-reflectiveness demonstrated an approximately inverse S-shaped relationship with the awareness of illness, a U-shaped relationship with stereotyped thinking and poor impulse control, and an almost linear relationship with anxiety and guilt feelings. Conclusions Self-reflectiveness demonstrates complex relationships with clinical symptoms and fails to exert significant positive effects when reaching a certain high level.
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Affiliation(s)
- Lihua Xu
- Shanghai Intelligent Psychological Evaluation and Intervention Engineering Technology Research Center, Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Huiru Cui
- Shanghai Intelligent Psychological Evaluation and Intervention Engineering Technology Research Center, Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yanyan Wei
- Shanghai Intelligent Psychological Evaluation and Intervention Engineering Technology Research Center, Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhenying Qian
- Shanghai Intelligent Psychological Evaluation and Intervention Engineering Technology Research Center, Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaochen Tang
- Shanghai Intelligent Psychological Evaluation and Intervention Engineering Technology Research Center, Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yegang Hu
- Shanghai Intelligent Psychological Evaluation and Intervention Engineering Technology Research Center, Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yingchan Wang
- Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hao Hu
- Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qian Guo
- Department of Early Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yingying Tang
- Shanghai Intelligent Psychological Evaluation and Intervention Engineering Technology Research Center, Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tianhong Zhang
- Shanghai Intelligent Psychological Evaluation and Intervention Engineering Technology Research Center, Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jijun Wang
- Shanghai Intelligent Psychological Evaluation and Intervention Engineering Technology Research Center, Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Center for Excellence in Brain Science and Intelligence Technology (CEBSIT), Chinese Academy of Science, Shanghai, China
- Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai, China
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Anxiety symptoms, rule learning, and cognitive flexibility in non-clinical psychosis. Sci Rep 2022; 12:5649. [PMID: 35383232 PMCID: PMC8983653 DOI: 10.1038/s41598-022-09620-z] [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: 09/21/2021] [Accepted: 03/21/2022] [Indexed: 11/08/2022] Open
Abstract
Individuals with psychotic-like experiences (PLEs) represent a critical group for improving the understanding of vulnerability factors across the psychosis continuum. A growing body of literature has identified functional deficits associated with PLEs. However, it is unclear if such deficits purely reveal the underlying psychosis vulnerability or if they are also linked with comorbid anxiety symptoms. Although anxiety disorders are often associated with impairments in psychosis-risk, symptoms of anxiety may facilitate executive functioning in certain psychosis groups. The Community Assessment of Psychic Experiences was completed to assess psychosis-like symptoms in a total of 57 individuals, and its median score was used to categorize PLE groups (high-PLE = 24, low-PLE = 33). Anxiety symptoms were measured via the Beck Anxiety Inventory, and cognitive flexibility was measured by the Penn Conditional Exclusion Test. The high-PLE group endorsed more anxiety symptoms, demonstrated poorer accuracy and efficiency on the cognitive task, and made more perseverative errors compared to the low-PLE group. Within the high-PLE group, higher levels of anxiety symptoms were associated with better performance and less perseverative errors compared to individuals with lower levels of anxiety symptoms. Conversely, greater anxiety symptoms were associated with poorer performance in the low-PLE group. Taken together, these findings provide a preliminary support for a potential psychosis vulnerability × anxiety symptom interaction. Given the interest in the psychosis continuum and potential treatment implications, the present findings warrant replication efforts.
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7
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Mervis JE, Vohs JL, Lysaker PH. An Update on Clinical Insight, Cognitive Insight, and Introspective Accuracy in Schizophrenia-Spectrum Disorders: Symptoms, Cognition, and Treatment. Expert Rev Neurother 2022; 22:245-255. [PMID: 35244496 DOI: 10.1080/14737175.2022.2049757] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
INTRODUCTION Poor insight, or unawareness of morbid changes in cognition, emotional states, or behavior, is commonly observed among people with schizophrenia. Poor insight represents a persistent barrier to wellness because it interferes with treatment and self-direction. Paradoxically, good insight may also be a barrier to health when awareness of these changes leads to depression or self-stigma. AREAS COVERED This paper builds upon this previous work by exploring these issues in schizophrenia separately as they have appeared in published research over the last three years in three different kinds of insight: clinical, cognition, and introspective accuracy. Specifically, studies are reviewed that address: the adverse effects of poor insight, the paradoxical effects of good insight, correlates with other forms of cognition, and emerging treatments. EXPERT OPINION The evidence continues to offer a nuanced picture of the complex effects of good insight in schizophrenia. Incremental improvements were also found in the development of novel integrative treatment approaches. This work also highlights the intricacy of the concept of insight, the need for further exploration of the effects of culture, and conceptual work that distinguishes the points of convergence and divergence of these forms of insight.
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Affiliation(s)
- Joshua E Mervis
- University of Minnesota, Department of Psychology, Minneapolis, Minnesota, USA.,Richard L. Roudebush VA Medical Center, Indianapolis, Indiana, USA
| | - Jenifer L Vohs
- Indiana University School of Medicine, Department of Psychiatry, Indianapolis, Indiana, USA.,Eskenzai Health, Sandra Eskenazi Mental Health Center, Prevention and Recovery Center for Early PsychosisE, Indianapolis, Indiana, USA
| | - Paul H Lysaker
- Richard L. Roudebush VA Medical Center, Indianapolis, Indiana, USA.,Indiana University School of Medicine, Department of Psychiatry, Indianapolis, Indiana, USA
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Lavallé L, Dondé C, Gawęda Ł, Brunelin J, Mondino M. Impaired self-recognition in individuals with no full-blown psychotic symptoms represented across the continuum of psychosis: a meta-analysis. Psychol Med 2021; 51:2864-2874. [PMID: 32466806 DOI: 10.1017/s003329172000152x] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
BACKGROUND Impairments in self-recognition (i.e. recognition of own thoughts and actions) have been repeatedly shown in individuals with schizophrenia. According to classical clinical characterizations, schizophrenia is included in a continuum encompassing a large range of genetic statuses, psychotic states and symptoms. The current meta-analysis aims to determine whether self-recognition is affected by individuals within the psychosis continuum. METHOD Three populations were considered: people with an at-risk mental state for psychosis (ARMS), hallucination-prone individuals and unaffected relatives of patients with schizophrenia. Eleven studies contrasted self-recognition between these three populations (n = 386) and healthy controls (n = 315) and four studies used correlational analysis to estimate comparable effects (n = 629). Eligible studies used experimental paradigms including source-monitoring and self-monitoring. RESULTS We observed significantly reduced self-recognition accuracy in these populations [g = -0.44 (-0.71 to -0.17), p = 0.002] compared to controls. No influence of the type of population, experimental paradigm or study design was observed. CONCLUSION The present analysis argues for self-recognition deficits in populations with no full-blown psychotic symptoms represented across the continuum of psychosis.
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Affiliation(s)
- Layla Lavallé
- Lyon Neuroscience Research Center, INSERM U1028, CNRS UMR5292, PSYR2 Team, Lyon, F-69000, France
- Lyon University, F-69000, France
- Centre Hospitalier le Vinatier, Batiment 416, 95 Bd Pinel, 69678Bron, France
| | - Clément Dondé
- Lyon Neuroscience Research Center, INSERM U1028, CNRS UMR5292, PSYR2 Team, Lyon, F-69000, France
- Lyon University, F-69000, France
- Centre Hospitalier le Vinatier, Batiment 416, 95 Bd Pinel, 69678Bron, France
| | - Łukasz Gawęda
- Experimental Psychopathology Lab, Institute of Psychology, Polish Academy of Sciences, Warsaw, Poland
| | - Jérome Brunelin
- Lyon Neuroscience Research Center, INSERM U1028, CNRS UMR5292, PSYR2 Team, Lyon, F-69000, France
- Lyon University, F-69000, France
- Centre Hospitalier le Vinatier, Batiment 416, 95 Bd Pinel, 69678Bron, France
| | - Marine Mondino
- Lyon Neuroscience Research Center, INSERM U1028, CNRS UMR5292, PSYR2 Team, Lyon, F-69000, France
- Lyon University, F-69000, France
- Experimental Psychopathology Lab, Institute of Psychology, Polish Academy of Sciences, Warsaw, Poland
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Dondé C, Laprévote V, Lavallé L, Haesebaert F, Fakra E, Brunelin J. Cognitive insight in individuals with an at-risk mental state for psychosis: A meta-analysis. Early Interv Psychiatry 2021; 15:449-456. [PMID: 32452629 DOI: 10.1111/eip.12993] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/03/2019] [Revised: 01/09/2020] [Accepted: 04/28/2020] [Indexed: 01/01/2023]
Abstract
AIM To compare cognitive insight abilities measured with the Beck Cognitive Insight Scale (BCIS) between individuals with an at-risk mental state (ARMS) and healthy controls. METHOD Review and meta-analysis based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. RESULTS A search for articles investigating cognitive insight in ARMS in the MEDLINE and ScienceDirect databases revealed five studies including 303 ARMS and 376 controls. Regarding BCIS subscales, ARMS individuals displayed significant higher scores for self-certainty than controls with a small-to-moderate effect size (ESg = 0.45 [0.23;0.67], P < .005), whereas no significant difference was observed for self-reflectiveness (ESg = -0.56 [-0.18;1.29], P = .14). No significant differences were observed between ARMS and controls for overall cognitive insight abilities as indexed by the BCIS composite score (ESg = -0.24 [-0.43;0.91], P = .45). CONCLUSIONS Self-certainty abnormalities seem to predate the expression of full-blown psychotic episode and to be higher in ARMS than in healthy controls. By contrast, ARMS did not display abnormal self-reflectiveness and overall cognitive insight abilities.
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Affiliation(s)
- Clément Dondé
- INSERM, U1028; CNRS, UMR5292; Lyon Neuroscience Research Center, Psychiatric Disorders: from Resistance to Response, PSYR2 Team, Lyon, France.,University Lyon 1, Villeurbanne, France.,Centre Hospitalier Le Vinatier, Bron, France
| | - Vincent Laprévote
- Pôle Hospitalo-Universitaire de Psychiatrie d'Adultes du Grand Nancy, Centre Psychothérapique de Nancy, Laxou, France.,INSERM U1114, Fédération de Médecine Translationnelle de Strasbourg, Département de Psychiatrie, Centre Hospitalier Régional Universitaire de Strasbourg, Strasbourg, France.,Faculté de Médecine, Université de Lorraine, Nancy, France
| | - Layla Lavallé
- INSERM, U1028; CNRS, UMR5292; Lyon Neuroscience Research Center, Psychiatric Disorders: from Resistance to Response, PSYR2 Team, Lyon, France.,University Lyon 1, Villeurbanne, France.,Centre Hospitalier Le Vinatier, Bron, France
| | - Frédéric Haesebaert
- INSERM, U1028; CNRS, UMR5292; Lyon Neuroscience Research Center, Psychiatric Disorders: from Resistance to Response, PSYR2 Team, Lyon, France.,University Lyon 1, Villeurbanne, France.,Centre Hospitalier Le Vinatier, Bron, France
| | - Eric Fakra
- INSERM, U1028; CNRS, UMR5292; Lyon Neuroscience Research Center, Psychiatric Disorders: from Resistance to Response, PSYR2 Team, Lyon, France.,Department of Psychiatry, University Hospital of Saint-Etienne, Saint-Etienne, France
| | - Jerome Brunelin
- INSERM, U1028; CNRS, UMR5292; Lyon Neuroscience Research Center, Psychiatric Disorders: from Resistance to Response, PSYR2 Team, Lyon, France.,University Lyon 1, Villeurbanne, France.,Centre Hospitalier Le Vinatier, Bron, France
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10
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Suliman S, L van den Heuvel L, Kilian S, Bröcker E, Asmal L, Emsley R, Seedat S. Cognitive insight is associated with perceived body weight in overweight and obese adults. BMC Public Health 2021; 21:534. [PMID: 33740946 PMCID: PMC7976704 DOI: 10.1186/s12889-021-10559-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Accepted: 03/04/2021] [Indexed: 11/16/2022] Open
Abstract
Background Accurate perception of body weight is necessary for individuals with a high body mass index (BMI) to initiate strategies to improve their health status. Furthermore, identifying factors that influence accurate body weight perception can assist in designing appropriate educational and weight management programs. We therefore aimed to investigate whether levels of cognitive functioning and insight influence the ability to correctly judge body weight. Methods One hundred and eighty four overweight and obese adults who participated in a cross- sectional case-control study and were controls in the aforementioned study were included. The study was conducted in Cape Town, South Africa. Demographic, weight-related, neuropsychiatric, neurocognitive and cognitive insight measures were administered. Regression analysis was conducted to determine the factors associated with correct weight perception. Results The final regression model explained 52.3% of variation in accurate perception of body weight and was significant (p ≤ 0. 001). The model correctly classified 79.3% of individuals who were able to correctly and incorrectly judge their weight. Adults with higher BMI, and lower self-certainty, those who reported that they had gained weight in the previous year and those who were told by a healthcare professional to lose or maintain a healthy weight were more likely to correctly judge their weight. Conclusion Some aspects of cognitive insight (self-certainty) but not cognitive functioning were associated with perception of body weight in this sample. Awareness of recent weight changes, higher BMI and advice from of health care professionals were also significantly associated with perception of body weight, while demographic variables were not. Understanding the factors that contribute to the correct perception of weight is important in identifying appropriate health interventions that may address the burden of associated non-communicable diseases in overweight and obese individuals. Supplementary Information The online version contains supplementary material available at 10.1186/s12889-021-10559-5.
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Affiliation(s)
- Sharain Suliman
- Department of Psychiatry & MRC Genomics of Brain Disorders Unit, Stellenbosch University, PO Box 241, Cape Town, 8000, South Africa.
| | - Leigh L van den Heuvel
- Department of Psychiatry & MRC Genomics of Brain Disorders Unit, Stellenbosch University, PO Box 241, Cape Town, 8000, South Africa
| | - Sanja Kilian
- Department of Psychiatry & MRC Genomics of Brain Disorders Unit, Stellenbosch University, PO Box 241, Cape Town, 8000, South Africa
| | - Erine Bröcker
- Department of Psychiatry & MRC Genomics of Brain Disorders Unit, Stellenbosch University, PO Box 241, Cape Town, 8000, South Africa
| | - Laila Asmal
- Department of Psychiatry & MRC Genomics of Brain Disorders Unit, Stellenbosch University, PO Box 241, Cape Town, 8000, South Africa
| | - Robin Emsley
- Department of Psychiatry & MRC Genomics of Brain Disorders Unit, Stellenbosch University, PO Box 241, Cape Town, 8000, South Africa
| | - Soraya Seedat
- Department of Psychiatry & MRC Genomics of Brain Disorders Unit, Stellenbosch University, PO Box 241, Cape Town, 8000, South Africa
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Xu L, Zhang M, Wang S, Wei Y, Cui H, Qian Z, Wang Y, Tang X, Hu Y, Tang Y, Zhang T, Wang J. Relationship Between Cognitive and Clinical Insight at Different Durations of Untreated Attenuated Psychotic Symptoms in High-Risk Individuals. Front Psychiatry 2021; 12:753130. [PMID: 34867540 PMCID: PMC8637962 DOI: 10.3389/fpsyt.2021.753130] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Accepted: 10/15/2021] [Indexed: 11/26/2022] Open
Abstract
Background: This study examines whether cognitive insight is impaired in high-risk individuals with attenuated psychotic symptoms (APS) and explores the relationship between cognitive and clinical insight at different durations of untreated attenuated psychotic symptoms (DUAPS). Methods: The Structured Interview for Psychosis high-risk Syndrome (SIPS) was used to identify APS individuals. APS (n = 121) and healthy control (HC, n = 87) subjects were asked to complete the Beck Cognitive Insight Scale (BCIS). Clinical insight of APS individuals was evaluated using the Schedule for Assessment of Insight (SAI). APS individuals were classified into four subgroups based on DUAPS, including 0-3, 4-6, 7-12, and >12 months. Power analysis for significant correlation was conducted using the WebPower package in R. Results: Compared with HC subjects, APS individuals showed poorer cognitive insight, with lower scores on BCIS self-reflectiveness and composite index (BCIS self-reflectiveness minus BCIS self-certainty). Only when DUAPS was longer than 12 months did the significant positive correlation between cognitive and clinical insight obtain the power about 0.8, including the associations between self-reflectiveness and awareness of illness, self-reflectiveness and the total clinical insight, and composite index and awareness of illness. The positive associations of composite index with awareness of illness within 0-3 months DUAPS and with the total score of SAI when DUAPS > 12 months were significant but failed to obtain satisfactory power. Conclusions: APS individuals may have impaired cognitive insight, demonstrating lower self-reflectiveness. The correlation between cognitive and clinical insight is associated with the duration of untreated attenuated psychotic symptoms.
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Affiliation(s)
- LiHua Xu
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Mei Zhang
- Department of Nursing and Midwifery, Jiangsu College of Nursing, Huai'an, China
| | - ShuQin Wang
- Department of Chinese Language Teaching, Shanghong Middle School, Shanghai, China
| | - YanYan Wei
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - HuiRu Cui
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - ZhenYing Qian
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - YingChan Wang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - XiaoChen Tang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - YeGang Hu
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - YingYing Tang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - TianHong Zhang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - JiJun Wang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China.,CAS Center for Excellence in Brain Science and Intelligence Technology (CEBSIT), Chinese Academy of Science, Shanghai, China.,Institute of Psychology and Behavioral Science, Shanghai Jiao Tong University, Shanghai, China
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12
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Mervis JE, Bonfils KA, Cooper SE, Wiesepape C, Lysaker PH. Co-occurring Deficits in Clinical and Cognitive Insight in Prolonged Schizophrenia-Spectrum Disorders: Relationship to Metacognitive Deficits. SCHIZOPHRENIA BULLETIN OPEN 2021; 2:sgab034. [PMID: 34901868 PMCID: PMC8650079 DOI: 10.1093/schizbullopen/sgab034] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
Abstract
People diagnosed with schizophrenia have been broadly observed to experience deficits in clinical and cognitive insight; however, less is understood about how these deficits are related. One possibility is that these deficits co-occur among people when other deficits in cognition are present, such as in executive function, social cognition, and metacognition, which may either promote the development of both forms of poor insight or allow one to negatively influence the other. To explore this possibility, we conducted a cluster analysis using assessments of clinical and cognitive insight among 95 adults with a schizophrenia spectrum disorder. As predicted, this analysis yielded a group with concurrently poor clinical and cognitive insight (n = 36). Additional groups were found with concurrently good clinical and cognitive insight (n = 28) and poor clinical insight and good cognitive insight (n = 31). Groups were then compared on assessments of executive function, social cognition, and metacognition. The group with concurrently lower levels of cognitive and clinical insight had significantly poorer metacognition relative to the other groups. In particular, they tended to form more fragmented and less integrated ideas about themselves and others. No differences were found for executive function or social cognition. The result may suggest that while clinical and cognitive insight is partially orthogonal phenomena, relatively lower levels of metacognition, or difficulties forming integrated ideas about oneself and others, maybe a condition leading to the confluence of lower clinical and cognitive insight. Interventions targeting metacognition may be of particular use for this group.
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Affiliation(s)
- Joshua E Mervis
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
- Department of Psychiatry, Richard L. Roudebush VA Medical Center, Indianapolis, IN, USA
| | - Kelsey A Bonfils
- School of Psychology, University of Southern Mississippi, Hattiesburg, MS, USA
| | - Samuel E Cooper
- Department of Psychiatry and Behavioral Sciences, University of Texas at Austin, Austin, TX, USA
| | - Courtney Wiesepape
- Department of Psychiatry, Richard L. Roudebush VA Medical Center, Indianapolis, IN, USA
- Department of Psychology, Indiana State University, Terre Haute, IN, USA
| | - Paul H Lysaker
- Department of Psychiatry, Richard L. Roudebush VA Medical Center, Indianapolis, IN, USA
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
- To whom correspondence should be addressed; 1481 W 10th St, Indianapolis, IN 46202, USA; tel: (317) 988-2546, e-mail:
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13
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Penzenstadler L, Chatton A, Lecomte T, Huguelet P, Lecardeur L, Azoulay S, Bartolomei J, Brazo P, Murys E, Poupart F, Rouvière S, Parabiaghi A, Saoud M, Favrod J, Khazaal Y. Does the Beck Cognitive Insight Scale predict change in delusional beliefs? Psychol Psychother 2020; 93:690-704. [PMID: 31583824 DOI: 10.1111/papt.12253] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2019] [Revised: 08/31/2019] [Accepted: 09/09/2019] [Indexed: 01/28/2023]
Abstract
OBJECTIVES The Beck Cognitive Insight Scale (BCIS) is composed of two subscales, self-reflectiveness and self-certainty, assessing reflectiveness and openness to feedback, and mental flexibility. Delusions have previously been associated with low cognitive insight. The aim of this study was to determine whether changes in BCIS scores predict changes in delusional beliefs. METHODS The study is a secondary analysis of a previously published randomized controlled trial. All participants had a psychotic disorder diagnosis and received treatment as usual, with half of them also receiving the cognitive restructuring intervention 'Michael's game'. Participants were assessed at three different times: at baseline (T1), at 3 months (T2), and at 9 months (T3). Cognitive insight was measured with the BCIS, belief flexibility with the Maudsley assessment of delusions schedule (MADS), and psychotic symptoms with the Brief Psychiatric Rating Scale (BPRS). RESULTS A total of 172 participants took part in the trial. After using generalized estimating equation (GEE) modelling, we observed (1) significant main effects of BCIS self-certainty and Time and (2) significant Time × BCIS self-certainty and Time × treatment group interaction effects on belief flexibility. Improvements in self-certainty (i.e., decrease in scores) were associated with more changes in conviction over time, more accommodation, improved ability in ignoring or rejecting a hypothetical contradiction and increased use of verification of facts. Medication and BPRS total scores were controlled for in the GEE analyses at their baseline values. CONCLUSIONS Overall improvement in BCIS self-certainty scores over time predicted better treatment outcomes as assessed with MADS items. PRACTITIONER POINTS Treatments for patients with psychosis should focus on improving cognitive insight as this seems to improve overall treatment outcomes and recovery. The Beck Cognitive Insight Scale can be used to measure changes during treatment and can predict treatment outcomes.
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Affiliation(s)
| | - Anne Chatton
- Hôpitaux Universitaires Genève, Switzerland.,Faculty of Medicine, Geneva University, Switzerland
| | - Tania Lecomte
- Department of Psychology, University of Montreal, Quebec, Canada
| | - Philippe Huguelet
- Hôpitaux Universitaires Genève, Switzerland.,Faculty of Medicine, Geneva University, Switzerland
| | - Laurent Lecardeur
- Normandie Univ, UNICAEN, Imagerie et Strategies Therapeutiques de la schizophrenie (ISTS), EA4766, Caen, France
| | - Silke Azoulay
- Soins Psychiatriques Ambulatoires, Bienne, Switzerland
| | | | - Perrine Brazo
- Normandie Univ, UNICAEN, CHU de Caen Normandie, Service de Psychiatrie d'adultes, Centre Esquirol, Caen, France.,Normandie Univ, UNICAEN, Imagerie et Stratégies Thérapeutiques de la Schizophrénie (ISTS), EA:7466, Caen, France
| | - Elodie Murys
- Unité Mobile de Psychiatrie, Centre Hospitalier Princess Grace, Monaco, Monaco
| | - Florent Poupart
- Laboratoire Clinique Psychopathologique et Interculturelle, Université de Toulouse, France.,Centre Hospitalo-Universitaire de Toulouse, France
| | | | | | - Mohamed Saoud
- PsyR², INSERM U1028, CNRS UMR5292, PSYR2 Team, Lyon Neuroscience Research Center, France Department of Consultation-Liaison Psychiatry, Université Claude Bernard Lyon 1, France
| | - Jérôme Favrod
- La Source, School of Nursing Sciences, HES-SO University of Applied Sciences and Arts of Western Switzerland, Lausanne, Switzerland
| | - Yasser Khazaal
- Addiction Medicine, Department of Psychiatry, Lausanne University Hospitals, Switzerland.,Research Center, Montreal University Institute of Mental Health, Quebec, Canada
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14
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Birulés I, López-Carrilero R, Cuadras D, Pousa E, Barrigón ML, Barajas A, Lorente-Rovira E, González-Higueras F, Grasa E, Ruiz-Delgado I, Cid J, de Apraiz A, Montserrat R, Pélaez T, Moritz S, Ochoa S. Cognitive Insight in First-Episode Psychosis: Changes during Metacognitive Training. J Pers Med 2020; 10:jpm10040253. [PMID: 33260823 PMCID: PMC7711871 DOI: 10.3390/jpm10040253] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Revised: 11/23/2020] [Accepted: 11/24/2020] [Indexed: 01/28/2023] Open
Abstract
Background: Metacognitive training (MCT) has demonstrated its efficacy in psychosis. However, the effect of each MCT session has not been studied. The aim of the study was to assess changes in cognitive insight after MCT: (a) between baseline, post-treatment, and follow-up; (b) after each session of the MCT controlled for intellectual quotient (IQ) and educational level. Method: A total of 65 patients with first-episode psychosis were included in the MCT group from nine centers of Spain. Patients were assessed at baseline, post-treatment, and 6 months follow-up, as well as after each session of MCT with the Beck Cognitive Insight Scale (BCIS). The BCIS contains two subscales: self-reflectiveness and self-certainty, and the Composite Index. Statistical analysis was performed using linear mixed models with repeated measures at different time points. Results: Self-certainty decreased significantly (p = 0.03) over time and the effect of IQ was negative and significant (p = 0.02). From session 4 to session 8, all sessions improved cognitive insight by significantly reducing self-certainty and the Composite Index. Conclusions: MCT intervention appears to have beneficial effects on cognitive insight by reducing self-certainty, especially after four sessions. Moreover, a minimum IQ is required to ensure benefits from MCT group intervention.
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Affiliation(s)
- Irene Birulés
- Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, 08830 Barcelona, Spain; (I.B.); (R.L.-C.); (D.C.); (A.d.A.); (R.M.); (T.P.)
- Department of Cognition, Development and Educational Psychology, Universitat de Barcelona, 08035 Barcelona, Spain
| | - Raquel López-Carrilero
- Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, 08830 Barcelona, Spain; (I.B.); (R.L.-C.); (D.C.); (A.d.A.); (R.M.); (T.P.)
- Investigación Biomédica en Red de Salud Mental (CIBERSAM) Instituto de Salud Carlos III C/Monforte de Lemos 3-5, Pabellón 11, Planta 0, 28029 Madrid, Spain; (E.L.-R.); (E.G.)
- Fundació Sant Joan de Déu, Esplugues de Llobregat, Santa Rosa, 39-57, 3a planta 08950 Esplugues de Llobregat, Barcelona, Spain
- Institut de Recerca en Salut Mental Sant Joan de Déu, Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, 08830 Barcelona, Spain
| | - Daniel Cuadras
- Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, 08830 Barcelona, Spain; (I.B.); (R.L.-C.); (D.C.); (A.d.A.); (R.M.); (T.P.)
- Fundació Sant Joan de Déu, Esplugues de Llobregat, Santa Rosa, 39-57, 3a planta 08950 Esplugues de Llobregat, Barcelona, Spain
| | - Esther Pousa
- Department of Psychiatry, Hospital de la Santa Creu i Sant Pau, 08041 Barcelona, Spain;
- Consorci Corporació Sanitària Parc Taulí de Sabadell, Parc Taulí, 1, 08208 Sabadell, Barcelona, Spain
| | - Maria Luisa Barrigón
- Psychiatry Service, Area de Gestión Sanitaria Sur Granada, Motril, 18600 Granada, Spain;
- Department of Psychiatry, IIS-Fundación Jiménez Díaz Hospital, 28040 Madrid, Spain
| | - Ana Barajas
- Centre d’Higiene Mental Les Corts, 08029 Barcelona, Spain; or
- Departament de Psicologia Clínica i de la Salut, Facultat de Psicologia, Universitat Autònoma de Barcelona, Bellaterra, 08193 Barcelona, Spain
| | - Ester Lorente-Rovira
- Investigación Biomédica en Red de Salud Mental (CIBERSAM) Instituto de Salud Carlos III C/Monforte de Lemos 3-5, Pabellón 11, Planta 0, 28029 Madrid, Spain; (E.L.-R.); (E.G.)
- Psychiatry Service, Hospital Clínico Universitario de Valencia, 46010 Valencia, Spain
| | | | - Eva Grasa
- Investigación Biomédica en Red de Salud Mental (CIBERSAM) Instituto de Salud Carlos III C/Monforte de Lemos 3-5, Pabellón 11, Planta 0, 28029 Madrid, Spain; (E.L.-R.); (E.G.)
- Department of Psychiatry, Hospital de la Santa Creu i Sant Pau, 08041 Barcelona, Spain;
- Institut d’Investigació Biomèdica-Sant Pau (IIB-Sant Pau), Universitat Autònoma de Barcelona, 08193 Barcelona, Spain
| | - Isabel Ruiz-Delgado
- Unidad de Salud Mental Comunitaria Málaga Norte, UGC Salud Mental Carlos Haya, Servicio Andaluz de Salud Psychiatry Service, Antequera, 29200 Málaga, Spain;
| | - Jordi Cid
- Mental Health & Addiction Research Group, IdiBGi, Institut d’Assistència Sanitària, 17190 Girona, Spain;
| | - Ana de Apraiz
- Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, 08830 Barcelona, Spain; (I.B.); (R.L.-C.); (D.C.); (A.d.A.); (R.M.); (T.P.)
| | - Roger Montserrat
- Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, 08830 Barcelona, Spain; (I.B.); (R.L.-C.); (D.C.); (A.d.A.); (R.M.); (T.P.)
- Department of Cognition, Development and Educational Psychology, Universitat de Barcelona, 08035 Barcelona, Spain
| | - Trinidad Pélaez
- Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, 08830 Barcelona, Spain; (I.B.); (R.L.-C.); (D.C.); (A.d.A.); (R.M.); (T.P.)
- Investigación Biomédica en Red de Salud Mental (CIBERSAM) Instituto de Salud Carlos III C/Monforte de Lemos 3-5, Pabellón 11, Planta 0, 28029 Madrid, Spain; (E.L.-R.); (E.G.)
| | - Steffen Moritz
- Department of Psychiatry and Psychotherapy, University Medical Center Hamburg, 20251 Hamburg, Germany;
| | | | - Susana Ochoa
- Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, 08830 Barcelona, Spain; (I.B.); (R.L.-C.); (D.C.); (A.d.A.); (R.M.); (T.P.)
- Investigación Biomédica en Red de Salud Mental (CIBERSAM) Instituto de Salud Carlos III C/Monforte de Lemos 3-5, Pabellón 11, Planta 0, 28029 Madrid, Spain; (E.L.-R.); (E.G.)
- Institut de Recerca en Salut Mental Sant Joan de Déu, Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, 08830 Barcelona, Spain
- Correspondence: ; Tel.: +34-936-406-350 (ext. 12538)
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15
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Sum MY, Chan SKW, Tse S, Bola JR, Ng RMK, Hui CLM, Lee EHM, Chang WC, Chen EYH. Elucidating the relationship between internalized stigma, cognitive insight, illness severity, and functioning in patients with schizophrenia using a path analysis approach. J Ment Health 2020; 31:29-38. [PMID: 33095070 DOI: 10.1080/09638237.2020.1836553] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
BACKGROUND There is a paucity of studies examining the interrelationship between internalized stigma, cognitive insight, illness severity, and functioning. AIMS This study examined the dynamics of the relationship between these factors using a path modelling approach. METHODS Two hundred and seven patients with schizophrenia spectrum disorders were recruited in this cross-sectional study. Patients were assessed on internalized stigma, cognitive insight (including its two domains, self-reflectiveness and self-certainty), illness severity and functioning. Path analysis was used to test the hypothesized model for the interrelationship between the variables. RESULTS A direct positive association was observed between self-certainty and internalized stigma. This was also observed via the paths running through illness severity and functioning. Self-reflectiveness was only associated with self-certainty in the model. The residual variance of internalized stigma in the path model was relatively high. CONCLUSION Our findings highlight that self-certainty is associated with internalized stigma along with illness severity and functioning in individuals with schizophrenia. Therefore, interventions on reduction of internalized stigma may benefit from a multipronged approach targeting self-certainty, illness severity and functioning. The relatively high residual variance of internalized stigma in the model highlights the need for further research to provide better understanding on the mechanisms underlying internalized stigma.
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Affiliation(s)
- Min Yi Sum
- Department of Psychiatry, Li Ka Shing Faculty of Medicine, Queen Mary Hospital, The University of Hong Kong, Hong Kong SAR, China
| | - Sherry Kit Wa Chan
- Department of Psychiatry, Li Ka Shing Faculty of Medicine, Queen Mary Hospital, The University of Hong Kong, Hong Kong SAR, China.,The State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong SAR, China
| | - Samson Tse
- Department of Social Work and Social Administration, Faculty of Social Sciences, The University of Hong Kong, Hong Kong SAR, China
| | - John R Bola
- Department of Applied Social Studies, City University of Hong Kong, Hong Kong SAR, China
| | - Roger Man Kin Ng
- Department of Psychiatry, Kowloon Hospital, Hong Kong SAR, China
| | - Christy Lai Ming Hui
- Department of Psychiatry, Li Ka Shing Faculty of Medicine, Queen Mary Hospital, The University of Hong Kong, Hong Kong SAR, China
| | - Edwin Ho Ming Lee
- Department of Psychiatry, Li Ka Shing Faculty of Medicine, Queen Mary Hospital, The University of Hong Kong, Hong Kong SAR, China
| | - Wing Chung Chang
- Department of Psychiatry, Li Ka Shing Faculty of Medicine, Queen Mary Hospital, The University of Hong Kong, Hong Kong SAR, China.,The State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong SAR, China
| | - Eric Yu Hai Chen
- Department of Psychiatry, Li Ka Shing Faculty of Medicine, Queen Mary Hospital, The University of Hong Kong, Hong Kong SAR, China.,The State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong SAR, China
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16
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Cho KKA, Davidson TJ, Bouvier G, Marshall JD, Schnitzer MJ, Sohal VS. Cross-hemispheric gamma synchrony between prefrontal parvalbumin interneurons supports behavioral adaptation during rule shift learning. Nat Neurosci 2020; 23:892-902. [PMID: 32451483 PMCID: PMC7347248 DOI: 10.1038/s41593-020-0647-1] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2019] [Accepted: 04/22/2020] [Indexed: 12/11/2022]
Abstract
Organisms must learn new strategies to adapt to changing environments. Activity in different neurons often exhibits synchronization that can dynamically enhance their communication and might create flexible brain states that facilitate changes in behavior. We studied the role of gamma-frequency (~40 Hz) synchrony between prefrontal parvalbumin (PV) interneurons in mice learning multiple new cue-reward associations. Voltage indicators revealed cell-type-specific increases of cross-hemispheric gamma synchrony between PV interneurons when mice received feedback that previously learned associations were no longer valid. Disrupting this synchronization by delivering out-of-phase optogenetic stimulation caused mice to perseverate on outdated associations, an effect not reproduced by in-phase stimulation or out-of-phase stimulation at other frequencies. Gamma synchrony was specifically required when new associations used familiar cues that were previously irrelevant to behavioral outcomes, not when associations involved new cues or for reversing previously learned associations. Thus, gamma synchrony is indispensable for reappraising the behavioral salience of external cues.
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Affiliation(s)
- Kathleen K A Cho
- Department of Psychiatry, University of California, San Francisco, San Francisco, CA, USA
- Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, San Francisco, CA, USA
- Weill Institute for Neuroscience, University of California, San Francisco, San Francisco, CA, USA
| | - Thomas J Davidson
- Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, San Francisco, CA, USA
- Department of Physiology, University of California, San Francisco, San Francisco, CA, USA
- Howard Hughes Medical Institute, San Francisco, CA, USA
| | - Guy Bouvier
- Department of Physiology, University of California, San Francisco, San Francisco, CA, USA
- Howard Hughes Medical Institute, San Francisco, CA, USA
| | - Jesse D Marshall
- Department of Organismic & Evolutionary Biology, Harvard University, Cambridge, MA, USA
| | - Mark J Schnitzer
- Departments of Biology and Applied Physics, Stanford University, Stanford, CA, USA
- Howard Hughes Medical Institute, Stanford, CA, USA
| | - Vikaas S Sohal
- Department of Psychiatry, University of California, San Francisco, San Francisco, CA, USA.
- Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, San Francisco, CA, USA.
- Weill Institute for Neuroscience, University of California, San Francisco, San Francisco, CA, USA.
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17
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Zheng W, Zhang QE, Cai DB, Ng CH, Ungvari GS, Ning YP, Xiang YT. Neurocognitive dysfunction in subjects at clinical high risk for psychosis: A meta-analysis. J Psychiatr Res 2018; 103:38-45. [PMID: 29772485 DOI: 10.1016/j.jpsychires.2018.05.001] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2017] [Revised: 05/02/2018] [Accepted: 05/03/2018] [Indexed: 02/08/2023]
Abstract
Findings of neurocognitive dysfunction in subjects at Clinical High Risk for Psychosis (CHR-P) have been controversial. This meta-analysis systematically examined studies of neurocognitive functions using the MATRICS Consensus Cognitive Battery (MCCB) in CHR-P. An independent literature search of both English and Chinese databases was conducted by two reviewers. Standardized mean difference (SMD) was calculated using a random effects model to evaluate the effect size of the meta-analytic results. Six case-control studies (n = 396) comparing neurocognitive functions between CHR-P subjects (n = 197) and healthy controls (n = 199) using the MCCB were identified; 4 (66.7%) studies were rated as "high quality". Compared to healthy controls, CHR-P subjects showed impairment with large effect size in overall cognition (n = 128, SMD = -1.00, 95%CI: -1.38, -0.63, P < 0.00001; I2 = 2%), processing speed (SMD = -1.21) and attention/vigilance (SMD = -0.83), and with medium effect size in working memory (SMD = -0.76), reasoning and problem solving (SMD = -0.71), visual (SMD = -0.68) and verbal learning (SMD = -0.67). No significant difference between CHR-P subjects and controls was found regarding social cognition (SMD = -0.33, 95%CI: -0.76, 0.10, P = 0.14; I2 = 70%) with small effect size. Apart from social cognition, CHR-P subjects performed worse than healthy control in all MCCB cognitive domains, particularly in processing speed, attention/vigilance and working memory.
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Affiliation(s)
- Wei Zheng
- The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China
| | - Qing-E Zhang
- The National Clinical Research Center for Mental Disorders, China &Center of Depression, Beijing Institute for Brain Disorders & Mood Disorders Center, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Dong-Bin Cai
- Clinics of Chinese Medicine, The First Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Chee H Ng
- Department of Psychiatry, University of Melbourne, Melbourne, Victoria, Australia
| | - Gabor S Ungvari
- The University of Notre Dame Australia/Graylands Hospital, Perth, Australia
| | - Yu-Ping Ning
- The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China.
| | - Yu-Tao Xiang
- Unit of Psychiatry, Faculty of Health Sciences, University of Macau, Macao SAR, China.
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18
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Lysaker PH, Pattison ML, Leonhardt BL, Phelps S, Vohs JL. Insight in schizophrenia spectrum disorders: relationship with behavior, mood and perceived quality of life, underlying causes and emerging treatments. World Psychiatry 2018; 17:12-23. [PMID: 29352540 PMCID: PMC5775127 DOI: 10.1002/wps.20508] [Citation(s) in RCA: 141] [Impact Index Per Article: 23.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
Poor insight in schizophrenia is prevalent across cultures and phases of illness. In this review, we examine the recent research on the relationship of insight with behavior, mood and perceived quality of life, on its complex roots, and on the effects of existing and emerging treatments. This research indicates that poor insight predicts poorer treatment adherence and therapeutic alliance, higher symptom severity and more impaired community function, while good insight predicts a higher frequency of depression and demoralization, especially when coupled with stigma and social disadvantage. This research also suggests that poor insight may arise in response to biological, experiential, neuropsychological, social-cognitive, metacognitive and socio-political factors. Studies of the effects of existing and developing treatments indicate that they may influence insight. In the context of earlier research and historical models, these findings support an integrative model of poor insight. This model suggests that insight requires the integration of information about changes in internal states, external circumstances, others' perspectives and life trajectory as well as the multifaceted consequences and causes of each of those changes. One implication is that treatments should, beyond providing education, seek to assist persons with schizophrenia to integrate the broad range of complex and potentially deeply painful experiences which are associated with mental illness into their own personally meaningful, coherent and adaptive picture.
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Affiliation(s)
- Paul H Lysaker
- Roudebush VA Medical Center, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Michelle L Pattison
- College of Applied Behavioral Sciences, University of Indianapolis, Indianapolis, IN, USA
| | - Bethany L Leonhardt
- Indiana University School of Medicine, Eskenazi Health-Midtown Community Mental Health, Indianapolis, IN, USA
| | | | - Jenifer L Vohs
- Indiana University School of Medicine, Indianapolis, IN, USA
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