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Corral S, Gaspar PA, Castillo-Passi RI, Mayol Troncoso R, Mundt AP, Ignatyev Y, Nieto RR, Figueroa-Muñoz A. Montreal Cognitive Assessment (MoCA) as a screening tool for cognitive impairment in early stages of psychosis. Schizophr Res Cogn 2024; 36:100302. [PMID: 38323136 PMCID: PMC10844107 DOI: 10.1016/j.scog.2024.100302] [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: 09/28/2023] [Revised: 01/23/2024] [Accepted: 01/25/2024] [Indexed: 02/08/2024]
Abstract
Background Cognitive alterations have been reported in early stages of psychosis including people with First Episode Psychosis (FEP), Clinical High-Risk Mental State (CHR), and Psychotic-Like Experience (PLE). This study aimed to compare the cognitive function in early stages of psychosis using the Montreal Cognitive Assessment (MoCA), a low-cost and brief assessment tool of cognitive functions. Methods A total of 154 individuals, including 35 with FEP, 38 CHR, 44 PLE, and 37 healthy controls (HC), were evaluated with the MoCA in Santiago, Chile. We calculated the mean total score of the MoCA and the standard deviation of the mean. Groups were assessed for a trend to lower scores in a pre-determined sequence (HC > PLE > CHR > FEP) using the Jonckheere-Terpstra test (TJT). Results The mean total MoCA scores were 24.8 ± 3.3 in FEP, 26.4 ± 2.4 in CHR, 26.4 ± 2.3 in PLE, and 27.2 ± 1.8 in HC. The analyses revealed a significant trend (p < 0.05) toward lower MoCA individual domain scores and MoCA total scores in the following order: HC > PLE > CHR > FEP. The mean total scores of all groups were above the cut-off for cognitive impairment (22 points). Conclusions The MoCA describes lower scores in cognition across early stages of psychosis and may be a useful low-cost assessment instrument in early intervention centers of poorly resourced settings.
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Affiliation(s)
- Sebastian Corral
- Clínica Psiquiátrica Universitaria, Hospital Clínico de la Universidad de Chile, Santiago, Chile
- Departamento de Psiquiatría y Salud Mental, Facultad de Medicina, Universidad de Chile, Santiago, Chile
- Departamento de Psicología, Universidad de La Serena, La Serena, Chile
| | - Pablo A. Gaspar
- Departamento de Psiquiatría y Salud Mental, Facultad de Medicina, Universidad de Chile, Santiago, Chile
- Departamento de Neurociencias, Facultad de Medicina, Universidad de Chile, Santiago, Chile
- Núcleo Milenio para Mejorar la Salud Mental de Adolescentes y Jóvenes, Imhay, Chile
| | - Rolando I. Castillo-Passi
- Clínica Psiquiátrica Universitaria, Hospital Clínico de la Universidad de Chile, Santiago, Chile
- Núcleo Milenio para Mejorar la Salud Mental de Adolescentes y Jóvenes, Imhay, Chile
- Departamento de Neurología y Psiquiatría, Clínica Alemana, Universidad del Desarrollo, Santiago, RM, Chile
| | - Rocío Mayol Troncoso
- Clínica Psiquiátrica Universitaria, Hospital Clínico de la Universidad de Chile, Santiago, Chile
- Departamento de Psiquiatría y Salud Mental, Facultad de Medicina, Universidad de Chile, Santiago, Chile
- Núcleo Milenio para Mejorar la Salud Mental de Adolescentes y Jóvenes, Imhay, Chile
- Facultad de Psicología, Universidad Alberto Hurtado, Santiago, Chile
| | - Adrian P. Mundt
- Departamento de Psiquiatría y Salud Mental, Facultad de Medicina, Universidad de Chile, Santiago, Chile
- Facultad de Medicina, Universidad Diego Portales, Santiago, Chile
| | - Yuriy Ignatyev
- Department of Psychiatry and Psychotherapy, Brandenburg Medical School Theodor Fontane, Immanuel Klinik Rüdersdorf, Rüdersdorf, Germany
- Faculty for Health Sciences Brandenburg, Brandenburg Medical School Theodor Fontane, Neuruppin, Germany
| | - Rodrigo R. Nieto
- Clínica Psiquiátrica Universitaria, Hospital Clínico de la Universidad de Chile, Santiago, Chile
- Departamento de Psiquiatría y Salud Mental, Facultad de Medicina, Universidad de Chile, Santiago, Chile
- Departamento de Neurociencias, Facultad de Medicina, Universidad de Chile, Santiago, Chile
| | - Alicia Figueroa-Muñoz
- Clínica Psiquiátrica Universitaria, Hospital Clínico de la Universidad de Chile, Santiago, Chile
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Feng S, Zhou S, Huang Y, Peng R, Han R, Li H, Yi Y, Feng Y, Ning Y, Han W, Zhang Z, Liu C, Li J, Wen X, Wu K, Wu F. Correlation between low frequency fluctuation and cognitive performance in bipolar disorder patients with suicidal ideation. J Affect Disord 2024; 344:628-634. [PMID: 37838272 DOI: 10.1016/j.jad.2023.10.031] [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: 02/21/2023] [Revised: 09/11/2023] [Accepted: 10/08/2023] [Indexed: 10/16/2023]
Abstract
BACKGROUND Patients with bipolar disorder (BD) are at high risk of suicidal ideation (SI), and BD patients with suicidal ideation (BDSI) have shown marked abnormalities in spontaneous brain function. Cognitive impairment, on the other hand, is considered to be one of the core symptoms of BD. However, few studies have addressed the association between cognitive performance and abnormal spontaneous brain function in BDSI. METHODS In the current study, the MATRICS Consensus Cognitive Battery (MCCB) was used to assess cognitive performance in BDSI (n = 20), BD subjects without suicidal ideation (BDNSI) (n = 24) and healthy controls (HC) (n = 30). Their cognitive performance was then correlated with amplitude of low frequency fluctuation (ALFF) values obtained by resting-state functional magnetic resonance imaging (rs-fMRI). RESULTS We found that ALFF was significantly higher in the left precuneus and right posterior cingulate cortex in the BDSI group and significantly lower in the right precuneus in the BDNSI group than in the HC group. In addition, in the BDSI group, visual learning performance was positively correlated with ALFF values in the left precuneus. CONCLUSIONS Our findings support the notion that BD patients present with ALFF abnormalities, which are associated with cognitive performance in BDSI.
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Affiliation(s)
- Shixuan Feng
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Sumiao Zhou
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yuanyuan Huang
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China; The First School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Runlin Peng
- School of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou International Campus, Guangzhou, China
| | - Rui Han
- School of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou International Campus, Guangzhou, China
| | - Hehua Li
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yun Yi
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yangdong Feng
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yuping Ning
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Wei Han
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Ziyun Zhang
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Chenyu Liu
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Junhao Li
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xitong Wen
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Kai Wu
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China; School of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou International Campus, Guangzhou, China; Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China; Guangdong Engineering Technology Research Center for Diagnosis and Rehabilitation of Dementia, Guangzhou, China; National Engineering Research Center for Tissue Restoration and Reconstruction, South China University of Technology, Guangzhou, China; Guangdong Province Key Laboratory of Biomedical Engineering, South China University of Technology, Guangzhou, China; Institute for Healthcare Artificial Intelligence Application, Guangdong Second Provincial General Hospital, Guangzhou, China.
| | - Fengchun Wu
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China; Department of Biomedical Engineering, Guangzhou Medical University, Guangzhou, China; Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China; Guangdong Engineering Technology Research Center for Diagnosis and Rehabilitation of Dementia, Guangzhou, China.
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Rossetti MG, Girelli F, Perlini C, Brambilla P, Bellani M. Neuropsychological instruments for bipolar disorders: A systematic review on psychometric properties. J Affect Disord 2023; 338:358-364. [PMID: 37331381 DOI: 10.1016/j.jad.2023.06.026] [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: 09/19/2022] [Revised: 05/26/2023] [Accepted: 06/15/2023] [Indexed: 06/20/2023]
Abstract
BACKGROUND Cognitive deficits are a core feature of bipolar disorder (BD) that persist during the euthymic phase and affect global functioning. However, nowadays, there is no consensus on the optimal tool to capture cognitive deficits in BD. Therefore, this review aims to examine the psychometric properties of tools commonly used to assess cognitive functioning in BD. METHODS Literature search was conducted on PubMed and Web of Science databases on August 1, 2022 and on April 20, 2023, yielding 1758 de-duplicated records. Thirteen studies fulfilled the inclusion criteria and were included in the review. RESULTS All tools examined showed acceptable-to-good psychometric properties suggesting that both brief cognitive screeners and comprehensive batteries may be appropriate for detecting or monitoring cognitive changes in BD. LIMITATIONS Methodological differences between the included studies precluded a direct comparison of the results. Further research is needed to investigate the psychometric properties of cognitive tools that assess also affective and social cognition. CONCLUSIONS The tools examined appear sensitive enough to distinguish between BD patients with versus without cognitive deficits, however, an optimal tool has not yet been identified. The applicability and clinical utility of the tools may depend on multiple factors such as available resources. That said, web-based instruments are expected to become the first-choice instrument for cognitive screening as they can be applied on a large scale and at an affordable cost. As for second-level assessment instruments, the BACA shows robust psychometric properties and tests both affective and non-affective cognition.
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Affiliation(s)
- Maria Gloria Rossetti
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca'Granda Ospedale Maggiore Policlinico, Milan, Italy; Section of Psychiatry, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Francesca Girelli
- UOC Psichiatria, Azienda Ospedaliera Universitaria Integrata (AOUI), Verona, Italy
| | - Cinzia Perlini
- Section of Clinical Psychology, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.
| | - Paolo Brambilla
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca'Granda Ospedale Maggiore Policlinico, Milan, Italy; Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Marcella Bellani
- Section of Psychiatry, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
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Jones BDM, Fernandes BS, Husain MI, Ortiz A, Rajji TK, Blumberger DM, Butters MA, Gildengers AG, Shablinski T, Voineskos A, Mulsant BH. A cross-sectional study of cognitive performance in bipolar disorder across the lifespan: the cog-BD project. Psychol Med 2023; 53:6316-6324. [PMID: 36464659 PMCID: PMC10520592 DOI: 10.1017/s0033291722003622] [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: 08/16/2022] [Revised: 10/31/2022] [Accepted: 11/02/2022] [Indexed: 12/12/2022]
Abstract
BACKGROUND Neuroprogressive models of the trajectory of cognitive dysfunction in patients with bipolar disorder (BD) have been proposed. However, few studies have explored the relationships among clinical characteristics of BD, cognitive dysfunction, and aging. METHODS We conducted a cross-sectional analysis in euthymic participants with the MATRICS Cognitive Consensus Battery, the Trail Making Test B, the Stroop Test, and the Wechsler Test of Adult Reading. Age- and gender-equated control participants without a mental disorder ['Healthy Controls' - HC)] were assessed similarly. We compared cognitive performance both globally and in seven domains in four groups: younger BD (age ⩽49 years; n = 70), older BD (age ⩾50 years; n = 48), younger HC (n = 153), and older HC (n = 44). We also compared the BD and HC groups using age as a continuous measure. We controlled for relevant covariates and applied a Bonferroni correction. RESULTS Our results support both an early impairment ('early hit') model and an accelerated aging model: impairment in attention/vigilance, processing speed, and executive function/working memory were congruent with the accelerated aging hypothesis whereas impairment in verbal memory was congruent with an early impairment model. BD and HC participants exhibited similar age-related decline in reasoning/problem solving and visuospatial memory. There were no age- or diagnosis-related differences in social cognition. CONCLUSION Our findings support that different cognitive domains are affected differently by BD and aging. Longitudinal studies are needed to explore trajectories of cognitive performance in BD across the lifespan.
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Affiliation(s)
- Brett D. M. Jones
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Brisa S. Fernandes
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - M. Ishrat Husain
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Campbell Family Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Abigail Ortiz
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Campbell Family Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Tarek K. Rajji
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Campbell Family Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Toronto Dementia Research Alliance, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Daniel M. Blumberger
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Campbell Family Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Meryl A. Butters
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | | | - Tatiana Shablinski
- Campbell Family Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Aristotle Voineskos
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Campbell Family Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Benoit H. Mulsant
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Campbell Family Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Toronto Dementia Research Alliance, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
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Lan X, Wang C, Zhang F, Liu H, Li W, Ye Y, Hu Z, Mai S, Ning Y, Zhou Y. Short-term cognitive effects of repeated-dose esketamine in adolescents with major depressive disorder and suicidal ideation: a randomized controlled trial. Child Adolesc Psychiatry Ment Health 2023; 17:108. [PMID: 37710297 PMCID: PMC10503003 DOI: 10.1186/s13034-023-00647-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Accepted: 08/12/2023] [Indexed: 09/16/2023] Open
Abstract
BACKGROUND Ketamine and its enantiomer have rapid and robust effects on depressive symptom and suicidal ideation. Little is known about their cognitive effects in adolescents. We aimed to evaluate the short-term effect of esketamine on cognition in adolescents with major depressive disorder (MDD) and suicidal ideation. METHOD In this randomized-controlled trial, 51 participants aged 13-18 with MDD and suicidal ideation received three intravenous infusions of either esketamine (0.25 mg/kg) or midazolam (0.02 mg/kg). Four dimensions of the MATRICS Consensus Cognitive Battery (MCCB), including processing speed, working memory, verbal learning and visual learning, were assessed at Days 0, 6 and 12. RESULTS In the linear mixed model, a significant time main effect (F = 12.803, P < 0.001), drug main effect (F = 6.607, P = 0.013), and interaction effect (F = 3.315, P = 0.041) was found in processing speed. Other dimensions including working memory and verbal learning showed significant time main effect (all P < 0.05), but no significant drug or interaction effect (all P > 0.05). Esketamine group showed improvement in processing speed from baseline to Days 6 and 12, and working memory from baseline to Day 12 (all P < 0.05). The generalized estimation equation showed no significant association between baseline cognition and antidepressant or antisuicidal effect (both P > 0.05). CONCLUSIONS The present study suggested that three-dose subanesthetic esketamine infusions did not harm cognition among adolescents with MDD and suicidal ideation. Instead, esketamine may be associated with improvement in processing speed. TRIAL REGISTRATION This trial was registered in the Chinese Clinical Trials Registry ( http://www.chictr.org.cn , ChiCTR2000041232).
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Affiliation(s)
- Xiaofeng Lan
- Department of Child and Adolescent Psychiatry, Affiliated Brain Hospital of Guangzhou Medical University, Mingxin Road #36, Liwan District, Guangzhou, 510370, China
- Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, Guangzhou Medical University, Guangzhou, 510370, China
- Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, 510370, China
| | - Chengyu Wang
- Department of Child and Adolescent Psychiatry, Affiliated Brain Hospital of Guangzhou Medical University, Mingxin Road #36, Liwan District, Guangzhou, 510370, China
- Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, Guangzhou Medical University, Guangzhou, 510370, China
- Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, 510370, China
| | - Fan Zhang
- Department of Child and Adolescent Psychiatry, Affiliated Brain Hospital of Guangzhou Medical University, Mingxin Road #36, Liwan District, Guangzhou, 510370, China
- Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, Guangzhou Medical University, Guangzhou, 510370, China
- Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, 510370, China
| | - Haiyan Liu
- Department of Child and Adolescent Psychiatry, Affiliated Brain Hospital of Guangzhou Medical University, Mingxin Road #36, Liwan District, Guangzhou, 510370, China
- Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, Guangzhou Medical University, Guangzhou, 510370, China
- Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, 510370, China
| | - Weicheng Li
- Department of Child and Adolescent Psychiatry, Affiliated Brain Hospital of Guangzhou Medical University, Mingxin Road #36, Liwan District, Guangzhou, 510370, China
- Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, Guangzhou Medical University, Guangzhou, 510370, China
- Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, 510370, China
| | - Yanxiang Ye
- Department of Child and Adolescent Psychiatry, Affiliated Brain Hospital of Guangzhou Medical University, Mingxin Road #36, Liwan District, Guangzhou, 510370, China
- Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, Guangzhou Medical University, Guangzhou, 510370, China
- Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, 510370, China
| | - Zhibo Hu
- Department of Child and Adolescent Psychiatry, Affiliated Brain Hospital of Guangzhou Medical University, Mingxin Road #36, Liwan District, Guangzhou, 510370, China
- Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, Guangzhou Medical University, Guangzhou, 510370, China
- Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, 510370, China
| | - Siming Mai
- Department of Child and Adolescent Psychiatry, Affiliated Brain Hospital of Guangzhou Medical University, Mingxin Road #36, Liwan District, Guangzhou, 510370, China
- Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, Guangzhou Medical University, Guangzhou, 510370, China
- Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, 510370, China
| | - Yuping Ning
- Department of Child and Adolescent Psychiatry, Affiliated Brain Hospital of Guangzhou Medical University, Mingxin Road #36, Liwan District, Guangzhou, 510370, China.
- Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, Guangzhou Medical University, Guangzhou, 510370, China.
- Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, 510370, China.
- Department of Psychology, The First School of Clinical Medicine, Southern Medical University, Guangzhou, 510515, China.
| | - Yanling Zhou
- Department of Child and Adolescent Psychiatry, Affiliated Brain Hospital of Guangzhou Medical University, Mingxin Road #36, Liwan District, Guangzhou, 510370, China.
- Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, Guangzhou Medical University, Guangzhou, 510370, China.
- Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, 510370, China.
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Brain Morphological Characteristics of Cognitive Subgroups of Schizophrenia-Spectrum Disorders and Bipolar Disorder: A Systematic Review with Narrative Synthesis. Neuropsychol Rev 2023; 33:192-220. [PMID: 35194692 PMCID: PMC9998576 DOI: 10.1007/s11065-021-09533-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Accepted: 11/23/2021] [Indexed: 10/19/2022]
Abstract
Despite a growing body of research, there is yet to be a cohesive synthesis of studies examining differences in brain morphology according to patterns of cognitive function among both schizophrenia-spectrum disorder (SSD) and bipolar disorder (BD) individuals. We aimed to provide a systematic overview of the morphological differences-inclusive of grey and white matter volume, cortical thickness, and cortical surface area-between cognitive subgroups of these disorders and healthy controls, and between cognitive subgroups themselves. An initial search of PubMed and Scopus databases resulted in 1486 articles of which 20 met inclusion criteria and were reviewed in detail. The findings of this review do not provide strong evidence that cognitive subgroups of SSD or BD map to unique patterns of brain morphology. There is preliminary evidence to suggest that reductions in cortical thickness may be more strongly associated with cognitive impairment, whilst volumetric deficits may be largely tied to the presence of disease.
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A preliminary investigation of the clinical and cognitive correlates of circulating vitamin D in bipolar disorder. Psychiatry Res 2023; 320:115013. [PMID: 36563627 DOI: 10.1016/j.psychres.2022.115013] [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: 10/11/2022] [Revised: 12/15/2022] [Accepted: 12/16/2022] [Indexed: 12/23/2022]
Abstract
The role that vitamin D plays in the cognitive and clinical characteristics of bipolar disorder (BD) is unclear. We examined differences in the levels and deficiency status of vitamin D in an Australian sample of BD patients compared to healthy controls; and determined the extent to which vitamin D is associated with clinical variables and cognitive function in the sample. 22 healthy controls and 55 stable outpatients with a diagnosis of BD and low-grade mood symptomatology provided a sample of blood and completed cognitive tests and clinical measures. Plasma concentrations of 25-hydroxyvitamin D (vitamin D) were assayed and used to segregate participants into subgroups with sufficient or deficient levels of vitamin D. Subgroups were then compared in terms of global cognition and a range of sociodemographic and clinical factors (number of past mood episodes, illness duration, seasonal mood pattern, mood symptom severity), while mean levels of vitamin D were compared between patients and controls. Although almost 27% of the current sample were vitamin D deficient, no significant differences in mean vitamin D levels or the prevalence of vitamin D deficiency were evident between BD patients and controls. Vitamin D was not associated with global cognition in either patients or controls, nor any of the clinical measures assessed in the study. In conclusion, we observed no difference in the vitamin D levels and deficiency status of an Australian sample of healthy individuals and BD patients with low grade mood symptomatology compared to controls. Clinical symptoms and global cognition also appear to be independent of vitamin D levels in BD.
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Lan X, Wu F, Wang C, Wu K, Fang Z, Lao G, Zhang B, Ning Y, Zhou Y. Sex differences in the association of plasma cytokines and neurocognition in first-episode major depressive disorder. J Affect Disord 2023; 322:258-266. [PMID: 36370912 DOI: 10.1016/j.jad.2022.11.016] [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: 05/04/2022] [Revised: 09/08/2022] [Accepted: 11/06/2022] [Indexed: 11/10/2022]
Abstract
BACKGROUND Peripheral cytokines were found to be involved in the pathophysiology of neurocognition in individuals with major depressive disorder (MDD). However, whether there are sex differences in this association between cytokines and cognition in MDD remains unknown. Our aim is to examine sex differences in the relationship between plasma cytokines and cognition in MDD. METHOD One hundred and twenty-seven first episode drug naïve patients with MDD and sixty healthy controls (HCs) were recruited for present study. The MATRICS Consensus Cognitive Battery was administered to measure the cognition. Plasma concentrations of nineteen cytokines were measured using high sensitivity multiplex bead-based assays. RESULTS Both female and male patients with MDD had significant cognitive impairment in verbal learning and visual learning and had higher levels of a range of cytokines than HCs (all p < 0.05). Female patients performed worse in trail making (F = 4.442, p = 0.018) and had higher concentration of interleukin (IL)-4 (F = 7.775, p = 0.006) than males. In female MDD, a significant positive association between category frequency and level of IL-4 was observed (B = 8.040, p = 0.031). However, this association was not present in male MDD or HCs (p > 0.05). LIMITATION Present study used a cross-sectional design. CONCLUSION Female MDD patients had worse trail making performance and higher level of IL-4 than males. The elevated IL-4 in female MDD was positively associated with category fluency, suggesting that IL-4 may be involved in the pathophysiology related to specific cognitive domain in female MDD patients.
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Affiliation(s)
- Xiaofeng Lan
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China; Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China
| | - Fengchun Wu
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China; Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China
| | - Chengyu Wang
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China; Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China
| | - Kai Wu
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China; Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China; Department of Biomedical Engineering, School of Material Science and Engineering, South China University of Technology, Guangzhou, China
| | - Ziyan Fang
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China; Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China
| | - Guohui Lao
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China; Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China
| | - Bin Zhang
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China; Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China
| | - Yuping Ning
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China; The First School of Clinical Medicine, Southern Medical University, Guangzhou, China; Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China.
| | - Yanling Zhou
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China; Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China.
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Characterisation of Deficits and Sex Differences in Verbal and Visual Memory/Learning in Bipolar Disorder. J Int Neuropsychol Soc 2023; 29:12-23. [PMID: 35067269 DOI: 10.1017/s1355617721001442] [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] [Indexed: 02/01/2023]
Abstract
OBJECTIVE Cognitive impairment is consistently reported in bipolar disorder (BD), but few studies have characterised which memory component processes are affected. Further, it is unknown whether the component processes underlying memory impairment are moderated by sex. The present study examined diagnosis and sex differences in both verbal and visual memory/learning domains in patients with BD and psychiatrically healthy controls. METHOD Verbal and visual memory/learning were measured using the Hopkins Verbal Learning Test-Revised (HVLT-R) and Brief Visuospatial Memory Test-Revised (BVMT-R). 114 patients with BD (n = 50 males, n = 64 females), were compared to 105 psychiatrically healthy controls (n = 42 males, n = 63 females). RESULTS Patients with BD had worse performance in verbal and visual immediate and total recall, verbal and visual delayed free recall, and verbal recognition discrimination scores, but there were no group differences in learning slopes and cumulative learning index scores. There were trends for BD females to outperform BD males in visual memory/learning free recall and cumulative learning, but these results did not survive multiple testing correction. These findings did not change in a secondary sensitivity analysis comparing only strictly euthymic BD patients to controls (n = 64). CONCLUSION The present study found trait-like verbal and visual memory/learning impairment in BD that was attributable to deficient encoding and/or consolidation processes rather than deficits in learning. We did not find marked sex differences in either visual or verbal memory/learning measures, although some trend level effects were apparent and deserve exploration in future studies.
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10
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Interactive relationships of Type 2 diabetes and bipolar disorder with cognition: evidence of putative premature cognitive ageing in the UK Biobank Cohort. Neuropsychopharmacology 2023; 48:362-370. [PMID: 36243769 PMCID: PMC9750982 DOI: 10.1038/s41386-022-01471-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 09/14/2022] [Accepted: 09/27/2022] [Indexed: 02/06/2023]
Abstract
Type 2 diabetes (T2D) is disproportionately prevalent in bipolar disorder (BD) and is associated with cognitive deficits in psychiatrically healthy cohorts. Whether there is an interaction effect between T2D and BD on cognition remains unclear. Using the UK Biobank, we explored interactions between T2D, BD and cognition during mid and later life; and examined age-related cognitive performance effects in BD as a function of T2D. Data were available for 1511 participants with BD (85 T2D), and 81,162 psychiatrically healthy comparisons (HC) (3430 T2D). BD and T2D status were determined by validated measures created specifically for the UK Biobank. Diagnostic and age-related associations between T2D status and cognition were tested using analyses of covariance or logistic regression. There was a negative association of T2D with visuospatial memory that was specific to BD. Processing speed and prospective memory performance were negatively associated with T2D, irrespective of BD diagnosis. Cognitive deficits were evident in BD patients with T2D compared to those without, with scores either remaining the same (processing speed) or improving (visuospatial memory) as a function of participant age. In contrast, cognitive performance in BD patients without T2D was worse as participant age increased, although the age-related trajectory remained broadly equivalent to the HC group. BD and T2D associated with cognitive performance deficits across the mid-life period; indicating comorbid T2D as a potential risk factor for cognitive dysfunction in BD. In comparison to BD participants without T2D and HCs, age-independent cognitive impairments in BD participants with comorbid T2D suggest a potential premature deterioration of cognitive functioning compared to what would normally be expected.
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Wang Y, Meng W, Liu Z, An Q, Hu X. Cognitive impairment in psychiatric diseases: Biomarkers of diagnosis, treatment, and prevention. Front Cell Neurosci 2022; 16:1046692. [DOI: 10.3389/fncel.2022.1046692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Accepted: 10/17/2022] [Indexed: 11/06/2022] Open
Abstract
Psychiatric diseases, such as schizophrenia, bipolar disorder, autism spectrum disorder, and major depressive disorder, place a huge health burden on society. Cognitive impairment is one of the core characteristics of psychiatric disorders and a vital determinant of social function and disease recurrence in patients. This review thus aims to explore the underlying molecular mechanisms of cognitive impairment in major psychiatric disorders and identify valuable biomarkers for diagnosis, treatment and prevention of patients.
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12
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A critical overview of tools for assessing cognition in bipolar disorder. Epidemiol Psychiatr Sci 2022; 31:e70. [PMID: 36189787 PMCID: PMC9531588 DOI: 10.1017/s2045796022000555] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
Cognitive deficits are prevalent in bipolar disorder even during the euthymic phase, having a negative impact on global functioning and quality of life. As such, more and more mental health professionals agree that neuropsychological assessment should be considered an essential component of the clinical management of bipolar patients. However, no gold standard tool has been established so far. According to bipolar disorder experts targeting cognition, appropriate cognitive tools should be brief, easy to administer, cost-effective and validated in the target population. In this commentary, we critically appraised the strengths and limitations of the tools most commonly used to assess cognitive functioning in bipolar patients, both for screening and diagnostic purposes.
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Lai S, Zhong S, Wang Y, Zhang Y, Xue Y, Zhao H, Ran H, Yan S, Luo Y, He J, Zhu Y, Lv S, Song Z, Miao H, Hu Y, Huang X, Lu X, Zhou J, Jia Y. The prevalence and characteristics of MCCB cognitive impairment in unmedicated patients with bipolar II depression and major depressive disorder. J Affect Disord 2022; 310:369-376. [PMID: 35504401 DOI: 10.1016/j.jad.2022.04.153] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Revised: 03/16/2022] [Accepted: 04/26/2022] [Indexed: 01/10/2023]
Abstract
BACKGROUND Cognitive impairment has been acknowledged as a core clinical manifestation of bipolar disorder (BD) as well as major depressive disorder (MDD). Determining the prevalence and characteristics of cognitive impairment is important for clinical interventions. This study investigated the prevalence and characteristics of cognitive impairment based on the Measurement and Treatment Research to Improve Cognition Schizophrenia Consensus Cognitive Battery (MCCB) in both BD and MDD. METHOD One hundred and forty-nine BD II depression, 147 MDD, and 124 demographically matched healthy controls (HC) underwent MCCB cognitive assessment. The prevalence of MCCB cognitive impairment and group difference comparisons were performed. Additionally, association analysis was performed to investigate the relationship between cognitive performance and clinical variables. RESULTS Compared to the HC group, both BD II depression and MDD groups had a significantly reduced performance for all MCCB cognitive domains (all p < 0.05). The numerical scores for visual learning were lower in the BD II depression group compared to the MDD group. 32.89% of the BD II depression patients had clinically significant impairment (>1.5 SD below the normal mean) in two or more MCCB domains compared to 23.13% for MDD patients. CONCLUSIONS A high percent of patients in the BD II depression and MDD group exhibited MCCB cognitive impairments with clinical significance. Cognitive impairments were more common in BD II depression patients compared to MDD patients, particularly for visual learning. These findings suggest that clinicians should be aware of the severe cognitive impairment in mood disorders and establish effective cognitive screening and intervention strategies.
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Affiliation(s)
- Shunkai Lai
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou 510630, China; Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Shuming Zhong
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Ying Wang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Yiliang Zhang
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Ying Xue
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Hui Zhao
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Hanglin Ran
- School of Management, Jinan University, Guangzhou 510316, China
| | - Shuya Yan
- School of Management, Jinan University, Guangzhou 510316, China
| | - Yange Luo
- School of Management, Jinan University, Guangzhou 510316, China
| | - Jiali He
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Yunxia Zhu
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Sihui Lv
- School of Management, Jinan University, Guangzhou 510316, China
| | - Zijing Song
- School of Management, Jinan University, Guangzhou 510316, China
| | - Haofei Miao
- School of Management, Jinan University, Guangzhou 510316, China
| | - Yilei Hu
- School of Management, Jinan University, Guangzhou 510316, China
| | - Xiaosi Huang
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Xiaodan Lu
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Jiansong Zhou
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.
| | - Yanbin Jia
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou 510630, China.
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Sumiyoshi C, Ohi K, Fujino H, Yamamori H, Fujimoto M, Yasuda Y, Uno Y, Takahashi J, Morita K, Katsuki A, Yamamoto M, Okahisa Y, Sata A, Katsumoto E, Koeda M, Hirano Y, Nakataki M, Matsumoto J, Miura K, Hashimoto N, Makinodan M, Takahashi T, Nemoto K, Kishimoto T, Suzuki M, Sumiyoshi T, Hashimoto R. Transdiagnostic comparisons of intellectual abilities and work outcome in patients with mental disorders: multicentre study. BJPsych Open 2022; 8:e98. [PMID: 35656577 PMCID: PMC9230699 DOI: 10.1192/bjo.2022.50] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Cognitive impairment is common in people with mental disorders, leading to transdiagnostic classification based on cognitive characteristics. However, few studies have used this approach for intellectual abilities and functional outcomes. AIMS The present study aimed to classify people with mental disorders based on intellectual abilities and functional outcomes in a data-driven manner. METHOD Seven hundred and forty-nine patients diagnosed with schizophrenia, bipolar disorder, major depression disorder or autism spectrum disorder and 1030 healthy control subjects were recruited from facilities in various regions of Japan. Two independent k-means cluster analyses were performed. First, intelligence variables (current estimated IQ, premorbid IQ, and IQ discrepancy) were included. Second, number of work hours per week was included instead of premorbid IQ. RESULTS Four clusters were identified in the two analyses. These clusters were specifically characterised in terms of IQ discrepancy in the first cluster analysis, whereas the work variable was the most salient feature in the second cluster analysis. Distributions of clinical diagnoses in the two cluster analyses showed that all diagnoses were unevenly represented across the clusters. CONCLUSIONS Intellectual abilities and work outcomes are effective classifiers in transdiagnostic approaches. The results of our study also suggest the importance of diagnosis-specific strategies to support functional recovery in people with mental disorders.
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Affiliation(s)
- Chika Sumiyoshi
- Faculty of Human Development and Culture, Fukushima University, Fukushima, Japan; Department of Preventive Intervention for Psychiatric Disorders and Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, Japan; and Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, Japan
| | - Kazutaka Ohi
- Department of Psychiatry, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Haruo Fujino
- United Graduate School of Child Development, Osaka University, Suita, Japan
| | - Hidenaga Yamamori
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan; Department of Psychiatry, Osaka University Graduate School of Medicine, Suita, Japan; and Japan Community Health Care Organization, Osaka Hospital, Osaka, Japan
| | - Michiko Fujimoto
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, Japan; and Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Yuka Yasuda
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, Japan; and Medical Corporation Foster, Life Grow Brilliant Mental Clinic, Osaka, Japan
| | - Yota Uno
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, Japan
| | - Junichi Takahashi
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Kentaro Morita
- Day Hospital (Psychiatric Day Care) Department of Rehabilitation, University of Tokyo Hospital, Tokyo, Japan
| | - Asuka Katsuki
- Nijofukushikai Social Welfare Corporation Senjuen, Fukuoka, Japan
| | - Maeri Yamamoto
- Department of Psychiatry, Graduate School of Medicine, Nagoya University, Nagoya, Japan
| | - Yuko Okahisa
- Department of Neuropsychiatry, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | | | | | - Michihiko Koeda
- Department of Neuropsychiatry, Nippon Medical School, Tama Nagayama Hospital, Tama, Japan
| | - Yoji Hirano
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Masahito Nakataki
- Department of Psychiatry, Tokushima University Hospital, Tokushima, Japan
| | - Junya Matsumoto
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, Japan
| | - Kenichiro Miura
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, Japan
| | - Naoki Hashimoto
- Department of Psychiatry, Hokkaido University Graduate School of Medicine, Sapporo, Japan
| | - Manabu Makinodan
- Department of Psychiatry, Nara Medical University School of Medicine, Kashihara, Japan
| | - Tsutomu Takahashi
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan
| | - Kiyotaka Nemoto
- Department of Psychiatry, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan
| | | | - Michio Suzuki
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan
| | - Tomiki Sumiyoshi
- Department of Preventive Intervention for Psychiatric Disorders, National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, Japan
| | - Ryota Hashimoto
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, Japan
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DeRamus TP, Wu L, Qi S, Iraji A, Silva R, Du Y, Pearlson G, Mayer A, Bustillo JR, Stromberg SF, Calhoun VD. Multimodal data fusion of cortical-subcortical morphology and functional network connectivity in psychotic spectrum disorder. Neuroimage Clin 2022; 35:103056. [PMID: 35709557 PMCID: PMC9207350 DOI: 10.1016/j.nicl.2022.103056] [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: 01/10/2022] [Revised: 04/18/2022] [Accepted: 05/21/2022] [Indexed: 11/20/2022]
Abstract
Multiple authors have noted overlapping symptoms and alterations across clinical, anatomical, and functional brain features in schizophrenia (SZ), schizoaffective disorder (SZA), and bipolar disorder (BPI). However, regarding brain features, few studies have approached this line of inquiry using analytical techniques optimally designed to extract the shared features across anatomical and functional information in a simultaneous manner. Univariate studies of anatomical or functional alterations across these disorders can be limited and run the risk of omitting small but potentially crucial overlapping or joint neuroanatomical (e.g., structural images) and functional features (e.g., fMRI-based features) which may serve as informative clinical indicators of across multiple diagnostic categories. To address this limitation, we paired an unsupervised multimodal canonical correlation analysis (mCCA) together with joint independent component analysis (jICA) to identify linked spatial gray matter (GM), resting-state functional network connectivity (FNC), and white matter fractional anisotropy (FA) features across these diagnostic categories. We then calculated associations between the identified linked features and trans-diagnostic behavioral measures (MATRICs Consensus Cognitive Battery, MCCB). Component number 4 of the 13 identified displayed a statistically significant relationship with overall MCCB scores across GM, resting-state FNC, and FA. These linked modalities of component 4 consisted primarily of positive correlations within subcortical structures including the caudate and putamen in the GM maps with overall MCCB, sparse negative correlations within subcortical and cortical connection tracts (e.g., corticospinal tract, superior longitudinal fasciculus) in the FA maps with overall MCCB, and negative relationships with MCCB values and loading parameters with FNC matrices displaying increased FNC in subcortical-cortical regions with auditory, somatomotor, and visual regions.
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Affiliation(s)
- T P DeRamus
- 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.
| | - L Wu
- 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
| | - S Qi
- College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China
| | - A Iraji
- 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
| | - R Silva
- 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
| | - Y 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
| | - G Pearlson
- Olin Neuropsychiatry Research Center, Institute of Living at Hartford Hospital, Hartford, CT, USA; Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA; Department of Neuroscience, Yale University School of Medicine, New Haven, CT, USA
| | - A Mayer
- The Mind Research Network, Lovelace Biomedical and Environmental Research Institute, Albuquerque, USA
| | - J R Bustillo
- Department of Psychiatry, University of New Mexico School of Medicine, Albuquerque, NM, USA
| | - S F Stromberg
- Psychiatry and Behavioral Health Clinical Program, Presbyterian Healthcare System, Albuquerque, NM, USA
| | - V 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; The Mind Research Network, Lovelace Biomedical and Environmental Research Institute, Albuquerque, USA; Department of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, USA; Department of Computer Science, Georgia State University, Atlanta, USA; Department of Psychology, Georgia State University, Atlanta, USA
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16
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Lynham AJ, Jones IR, Walters JTR. Web-Based Cognitive Testing in Psychiatric Research: Validation and Usability Study. J Med Internet Res 2022; 24:e28233. [PMID: 35142640 PMCID: PMC8874806 DOI: 10.2196/28233] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Revised: 06/11/2021] [Accepted: 11/21/2021] [Indexed: 01/23/2023] Open
Abstract
Background Cognitive impairments are features of many psychiatric disorders and affect functioning. A barrier to cognitive research on psychiatric disorders is the lack of large cross-disorder data sets. However, the collection of cognitive data can be logistically challenging and expensive. Web-based collection may be an alternative; however, little is known about who does and does not complete web-based cognitive assessments for psychiatric research. Objective The aims of this study are to develop a web-based cognitive battery for use in psychiatric research, validate the battery against the Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) Consensus Cognitive Battery, and compare the characteristics of the participants who chose to take part with those of the individuals who did not participate. Methods Tasks were developed by The Many Brains Project and selected to measure the domains specified by the MATRICS initiative. We undertook a cross-validation study of 65 participants with schizophrenia, bipolar disorder, depression, or no history of psychiatric disorders to compare the web-based tasks with the MATRICS Consensus Cognitive Battery. Following validation, we invited participants from 2 large ongoing genetic studies, which recruited participants with psychiatric disorders to complete the battery and evaluated the demographic and clinical characteristics of those who took part. Results Correlations between web-based and MATRICS tasks ranged between 0.26 and 0.73. Of the 961 participants, 887 (92.3%) completed at least one web-based task, and 644 (67%) completed all tasks, indicating adequate completion rates. Predictors of web-based participation included being female (odds ratio [OR] 1.3, 95% CI 1.07-1.58), ethnicity other than White European (OR 0.66, 95% CI 0.46-0.96), higher levels of education (OR 1.19, 95% CI 1.11-1.29), diagnosis of an eating disorder (OR 2.17, 95% CI 1.17-4) or depression and anxiety (OR 5.12, 95% CI 3.38-7.83), and absence of a diagnosis of schizophrenia (OR 0.59, 95% CI 0.35-0.94). Lower performance on the battery was associated with poorer functioning (B=−1.76, SE 0.26; P<.001). Conclusions Our findings offer valuable insights into the advantages and disadvantages of testing cognitive function remotely for mental health research.
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Affiliation(s)
- Amy Joanne Lynham
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Division of Psychiatry and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, United Kingdom
| | - Ian R Jones
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Division of Psychiatry and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, United Kingdom
| | - James T R Walters
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Division of Psychiatry and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, United Kingdom
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17
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Varo C, Solé B, Jiménez E, Bonnín CM, Torrent C, Valls E, Lahera G, Martínez-Arán A, Carvalho AF, Miskowiak KW, Vieta E, Reinares M. Identifying social cognition subgroups in euthymic patients with bipolar disorder: a cluster analytical approach. Psychol Med 2022; 52:159-168. [PMID: 32546284 DOI: 10.1017/s0033291720001865] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND Bipolar disorder (BD) is associated with social cognition (SC) impairments even during remission periods although a large heterogeneity has been described. Our aim was to explore the existence of different profiles on SC in euthymic patients with BD, and further explore the potential impact of distinct variables on SC. METHODS Hierarchical cluster analysis was conducted using three SC domains [Theory of Mind (ToM), Emotional Intelligence (EI) and Attributional Bias (AB)]. The sample comprised of 131 individuals, 71 patients with BD and 60 healthy control subjects who were compared in terms of SC performance, demographic, clinical, and neurocognitive variables. A logistic regression model was used to estimate the effect of SC-associated risk factors. RESULTS A two-cluster solution was identified with an adjusted-performance group (N = 48, 67.6%) and a low-performance group (N = 23, 32.4%) with mild deficits in ToM and AB domains and with moderate difficulties in EI. Patients with low SC performance were mostly males, showed lower estimated IQ, higher subthreshold depressive symptoms, longer illness duration, and poorer visual memory and attention. Low estimated IQ (OR 0.920, 95% CI 0.863-0.981), male gender (OR 5.661, 95% CI 1.473-21.762), and longer illness duration (OR 1.085, 95% CI 1.006-1.171) contributed the most to the patients clustering. The model explained up to 35% of the variance in SC performance. CONCLUSIONS Our results confirmed the existence of two discrete profiles of SC among BD. Nearly two-thirds of patients exhibited adjusted social cognitive abilities. Longer illness duration, male gender, and lower estimated IQ were associated with low SC performance.
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Affiliation(s)
- C Varo
- Bipolar and Depressive Disorders Unit, Hospital Clinic, Institute of Neuroscience, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - B Solé
- Bipolar and Depressive Disorders Unit, Hospital Clinic, Institute of Neuroscience, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - E Jiménez
- Bipolar and Depressive Disorders Unit, Hospital Clinic, Institute of Neuroscience, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - C M Bonnín
- Bipolar and Depressive Disorders Unit, Hospital Clinic, Institute of Neuroscience, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - C Torrent
- Bipolar and Depressive Disorders Unit, Hospital Clinic, Institute of Neuroscience, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - E Valls
- Bipolar and Depressive Disorders Unit, Hospital Clinic, Institute of Neuroscience, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - G Lahera
- Faculty of Medicine, University of Alcalá, IRyCIS, CIBERSAM, Madrid, Spain
| | - A Martínez-Arán
- Bipolar and Depressive Disorders Unit, Hospital Clinic, Institute of Neuroscience, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - A F Carvalho
- Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - K W Miskowiak
- Mental Health Services, Capital Region of Denmark, Copenhagen Affective Disorder research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
- Department of Psychology, University of Copenhagen, Copenhagen, Denmark
| | - E Vieta
- Bipolar and Depressive Disorders Unit, Hospital Clinic, Institute of Neuroscience, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - M Reinares
- Bipolar and Depressive Disorders Unit, Hospital Clinic, Institute of Neuroscience, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
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18
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Malcolm A, Pikoos T, Castle DJ, Rossell SL. Cross-diagnostic cognitive heterogeneity in body dysmorphic disorder and obsessive-compulsive disorder. J Behav Ther Exp Psychiatry 2021; 73:101674. [PMID: 34242980 DOI: 10.1016/j.jbtep.2021.101674] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Revised: 05/03/2021] [Accepted: 06/30/2021] [Indexed: 10/21/2022]
Abstract
BACKGROUND AND OBJECTIVES Previous research has indicated that body dysmorphic disorder (BDD) and obsessive-compulsive disorder (OCD) often demonstrate similar cognitive impairments across multiple domains. However, findings for both disorders have not consistently shown impaired cognition. As such, BDD and OCD might share an overlapping pattern of cognitive heterogeneity, characterised by subgroups with different cognitive profiles. METHODS To evaluate this possibility, we compared 26 BDD, 24 OCD, and 26 healthy control participants on a comprehensive eight-domain cognitive battery. Then, cluster analysis was performed on the BDD and OCD participants' combined data to explore for cognitive subgroups. RESULTS No significant differences were found between the three groups' cognitive functioning, except for poorer visual learning in OCD relative to healthy controls. Cluster analysis produced two cognitive subgroups within the combined BDD and OCD data, characterised by intact cognition (52%) and broadly impaired cognition (48%). Each subgroup comprised both BDD and OCD participants, in similar proportions. The subgroups did not differ in clinical or demographic features. LIMITATIONS Sample sizes were moderate. Future research should investigate clustering patterns both in larger groups and separately in BDD and OCD samples to determine replicability. CONCLUSIONS These findings suggest that BDD and OCD may involve similar patterns of cognitive heterogeneity, and further imply that individuals with either disorder can show a wide range of cognitive profiles, thus necessitating a nuanced approach to future cognitive research in BDD and OCD.
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Affiliation(s)
- Amy Malcolm
- Centre for Mental Health, Faculty of Health, Arts & Design, Swinburne University of Technology, Hawthorn, VIC, Australia.
| | - Toni Pikoos
- Centre for Mental Health, Faculty of Health, Arts & Design, Swinburne University of Technology, Hawthorn, VIC, Australia
| | - David J Castle
- Department of Mental Health, St Vincent's Hospital, Melbourne, VIC, Australia; The University of Melbourne, Melbourne, VIC, Australia; Centre for Addiction and Mental Health and the Department of Psychiatry, University of Toronto, Canada
| | - Susan L Rossell
- Centre for Mental Health, Faculty of Health, Arts & Design, Swinburne University of Technology, Hawthorn, VIC, Australia; Department of Mental Health, St Vincent's Hospital, Melbourne, VIC, Australia
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Khalil M, Hollander P, Raucher-Chéné D, Lepage M, Lavigne KM. Structural brain correlates of cognitive function in schizophrenia: A meta-analysis. Neurosci Biobehav Rev 2021; 132:37-49. [PMID: 34822878 DOI: 10.1016/j.neubiorev.2021.11.034] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Revised: 11/18/2021] [Accepted: 11/21/2021] [Indexed: 12/20/2022]
Abstract
Schizophrenia is characterized by cognitive impairments and widespread structural brain abnormalities. Brain structure-cognition associations have been extensively studied in schizophrenia, typically involving individual cognitive domains or brain regions of interest. Findings in overlapping and diffuse brain regions may point to structural alterations in large-scale brain networks. We performed a systematic review and meta-analysis examining whether brain structure-cognition associations can be explained in terms of biologically meaningful brain networks. Of 7,261 screened articles, 88 were included in a series of meta-analyses assessing publication bias, heterogeneity, and study quality. Significant associations were found between overall brain structure and eight MATRICS-inspired cognitive domains. Brain structure mapped onto the seven Yeo functionally defined networks and extraneous structures (amygdala, hippocampus, and cerebellum) typically showed associations with conceptually related cognitive domains, with higher-level domains (e.g., executive function, social cognition) associated with more networks. These findings synthesize the extensive literature on brain structure and cognition in schizophrenia from a contemporary network neuroscience perspective and suggest that brain structure-cognition associations in schizophrenia may follow functional network architecture.
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Affiliation(s)
- Marianne Khalil
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada; Douglas Mental Health University Institute, McGill University, Montreal, Quebec, Canada
| | - Philippine Hollander
- Douglas Mental Health University Institute, McGill University, Montreal, Quebec, Canada; Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Delphine Raucher-Chéné
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada; Douglas Mental Health University Institute, McGill University, Montreal, Quebec, Canada; Department of Psychiatry, University Hospital of Reims, EPSM Marne, Reims, France; Cognition, Health, and Society Laboratory (EA 6291), University of Reims, Champagne-Ardenne, Reims, France
| | - Martin Lepage
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada; Douglas Mental Health University Institute, McGill University, Montreal, Quebec, Canada
| | - Katie M Lavigne
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada; Douglas Mental Health University Institute, McGill University, Montreal, Quebec, Canada; Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada.
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Van Rheenen TE, McIntyre RS, Balanzá-Martínez V, Berk M, Rossell SL. Cumulative Cardiovascular Disease Risk and Triglycerides Differentially Relate to Subdomains of Executive Function in Bipolar Disorder; preliminary findings. J Affect Disord 2021; 278:556-562. [PMID: 33022441 DOI: 10.1016/j.jad.2020.09.104] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Revised: 08/26/2020] [Accepted: 09/26/2020] [Indexed: 01/27/2023]
Abstract
OBJECTIVES Cardiovascular disease is disproportionally prevalent in bipolar disorder (BD) and has been linked to cognition in preliminary studies. Herein we evaluate the association between known risk factors for cardiovascular disease and executive function in BD patients compared to healthy controls. METHODS In a sample of n=57 individuals (n=23 BD, n=34 controls) we assessed two subdomains of executive function; cognitive flexibility (using the Trail Making Test - Part B) and cognitive inhibition (using the Stroop Colour Word Interference Task). Cardiovascular risk was assessed by means of serum triglyceride levels, body mass index (BMI) and waist circumference, as well as dietary saturated fat intake and a sex-specific cumulative cardiovascular risk score calculated using the Framingham Heart Study method. RESULTS Patients with BD had higher BMI and waist circumference, with more BD patients categorized as having central obesity than controls. In the BD group only, higher triglyceride levels were associated with worse cognitive flexibility, and elevated cumulative cardiovascular disease risk was associated with worse cognitive inhibition. No correlations between cardiovascular risk factors and executive function were evident in the control group. LIMITATIONS The study was limited by the small sample size and should be considered hypothesis-generating CONCLUSIONS: The associations between triglyceride levels, cumulative cardiovascular disease risk and executive functioning evident in BD in this study preliminarily indicate the potential for mechanistic overlap of physical health and cognitive function in the disorder.
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Affiliation(s)
- Tamsyn E Van Rheenen
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne, Melbourne, Australia; Centre for Mental Health, Faculty of Health, Arts and Design, School of Health Sciences, Swinburne University, Melbourne, Australia.
| | - Roger S McIntyre
- Mood Disorders Psychopharmacology Unit, Brain and Cognition Discovery Foundation University of Toronto, Toronto, Canada
| | - Vicent Balanzá-Martínez
- Teaching unit of Psychiatry and Psychological Medicine, Department of Medicine, University of Valencia, CIBERSAM, Valencia, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Michael Berk
- The Institute for Mental and Physical Health and Clinical Translation, Deakin University, Geelong, Australia; Barwon Health, PO Box 281, Geelong, Victoria, 3220, Australia; Orygen, The National Centre of Excellence in Youth Mental Health, the Department of Psychiatry, and the Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, Australia
| | - Susan L Rossell
- Centre for Mental Health, Faculty of Health, Arts and Design, School of Health Sciences, Swinburne University, Melbourne, Australia; Department of Psychiatry, St Vincent's Hospital, VIC, Australia
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Distinct Associations of Cognitive Impairments and Reduced Gray Matter Volumes in Remitted Patients with Schizophrenia and Bipolar Disorder. Neural Plast 2020; 2020:8859388. [PMID: 33381163 PMCID: PMC7748913 DOI: 10.1155/2020/8859388] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Revised: 11/04/2020] [Accepted: 11/30/2020] [Indexed: 12/12/2022] Open
Abstract
Background Cognitive impairments are documented in schizophrenia (SZ) and bipolar disorder (BD) and may be related to gray matter volumes (GMVs). Thus, this study is aimed at exploring whether the association between cognitive impairments and GMV alterations is similar in patients with SZ and BD and understanding the underlying neurobiological mechanisms. Methods A total of 137 adult subjects (46 with SZ, 35 with BD, and 56 age-, sex-, and education-matched healthy controls (HC)) completed the MATRICS Consensus Cognitive Battery (MCCB) and structural magnetic resonance imaging scanning. We performed group comparisons of the cognitive impairments, the GMV alterations, and the association between them. Results Compared with HC, the patients with SZ and BD showed shared deficits in 4 cognitive domains (i.e., processing speed, working memory, problem solving, and social cognition) and the composite. SZ and BD had commonly decreased GMVs, mainly in the insula, superior temporal pole, amygdala, anterior cingulate, and frontal cortices (superior, middle, opercular inferior, and orbital frontal gyrus). No correlation between MCCB scores and GMVs was detected in SZ. However, for BD, working memory was relevant to the right hemisphere (i.e., right insula, amygdala, superior temporal pole, and medial and dorsolateral superior frontal gyrus). Limitations. The major limitations were that not all patients were the first-episode status and no medication. Conclusions The association was mainly limited to the BD group. Thus, the underlying pathophysiology of the cognitive deficits, in terms of GMV alterations, may be diverse between two disorders.
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Zhong S, Lai S, Yue J, Wang Y, Shan Y, Liao X, Chen J, Li Z, Chen G, Chen F, Jia Y. The characteristic of cognitive impairments in patients with bipolar II depression and its association with N-acetyl aspartate of the prefrontal white matter. ANNALS OF TRANSLATIONAL MEDICINE 2020; 8:1457. [PMID: 33313202 PMCID: PMC7723520 DOI: 10.21037/atm-20-7098] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Background Cognitive deficit is acknowledged as a core feature of clinical manifestations of bipolar disorder (BD). However, the underlying mechanism of cognitive impairment in bipolar II depression has remained uncertain. We aim to determine the association of cognitive impairments with biochemical metabolism using proton magnetic resonance spectroscopy (1H-MRS) and a battery of neuropsychological testing. Methods The current study was designed to assess four cognitive domains in a sample of 110 patients with bipolar II depression and 110 healthy controls, using a battery of 6 cognitive tests, including the Digit Symbol Substitution Test (DSST), Wisconsin Cart Sorting Test (WCST), Trail Making Test Part B (TMT-B), Digit Span Test (DST), TMT-part A (TMT-A) and Verbal Fluency Test (VFT). Metabolite levels were obtained in the following brain regions of interest: bilateral prefrontal white matter (PWM), bilateral anterior cingulate cortex (ACC), bilateral lenticular nucleus (LN), and bilateral thalamus. N-acetyl aspartate (NAA)/creatine (Cr) and choline-containing compounds (Cho)/Cr ratios are analyzed. Results Patients with bipolar II depression performed significantly worse on DSST (score), TMT (completion time), DSB (score), and VFT (valid word number) when compared with healthy controls. In the bilateral PWM, NAA/Cr ratios in the PWM were significantly reduced (bilaterally) than those in healthy controls. Correlation analysis was conducted with data from patients with bipolar II depression, we found that the NAA/Cr ratio of the left PWM was positively correlated with the score of DS and DSB, and the NAA/Cr ratio of the right PWM was negatively correlated with the completion time of TMT-B. Conclusions Our findings suggested that psychomotor speed, executive function, working memory, and verbal fluency are impaired in patients with BD II depression. Hypoactivity NAA/Cr in bilateral PWM may be associated with BD II depression's pathophysiology and results in cognitive dysfunction.
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Affiliation(s)
- Shuming Zhong
- Department of Psychiatry, First Affiliated Hospital, Jinan University, Guangzhou, China
| | - Shunkai Lai
- Department of Psychiatry, First Affiliated Hospital, Jinan University, Guangzhou, China
| | - Jihui Yue
- Department of Psychiatry, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China
| | - Ying Wang
- Medical Imaging Center, First Affiliated Hospital, Jinan University, Guangzhou, China
| | - Yanyan Shan
- Department of Psychiatry, First Affiliated Hospital, Jinan University, Guangzhou, China
| | - Xiaoxiao Liao
- Department of Psychiatry, First Affiliated Hospital, Jinan University, Guangzhou, China
| | - Junhao Chen
- Department of Psychiatry, First Affiliated Hospital, Jinan University, Guangzhou, China
| | - Zhinan Li
- Department of Psychiatry, First Affiliated Hospital, Jinan University, Guangzhou, China
| | - Guanmao Chen
- Medical Imaging Center, First Affiliated Hospital, Jinan University, Guangzhou, China
| | - Feng Chen
- Medical Imaging Center, First Affiliated Hospital, Jinan University, Guangzhou, China
| | - Yanbin Jia
- Department of Psychiatry, First Affiliated Hospital, Jinan University, Guangzhou, China
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23
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Liu YC, Tseng HH, Chang YH, Chang HH, Yang YK, Chen PS. The social cognitive ability in Han Chinese euthymic patients with bipolar I and bipolar II disorder. J Formos Med Assoc 2020; 120:S0929-6646(20)30472-1. [PMID: 34756401 DOI: 10.1016/j.jfma.2020.10.012] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Revised: 07/13/2020] [Accepted: 10/11/2020] [Indexed: 11/20/2022] Open
Abstract
BACKGROUND/PURPOSE Although social cognitive deficits were found in euthymic patients of bipolar disorder (BD), the characteristics of social cognition in Han Chinese euthymic BD patients remain obscure. This study aimed to examine social cognition in Han Chinese euthymic BD patients relative to healthy controls (HC). Moreover, we explore the differences in social cognition between euthymic BD I and BD II patients. METHODS 43 Han Chinese BD patients (BD-I:25, BD-II:18) and 28 HC were recruited. All patients were euthymic (Young Mania Rating Scale (YMRS) ≤ 7 and Hamilton Depression Rating Scale (HDRS) ≤ 7). Social cognitive ability was measured using Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT), including 4 branches: perceiving emotions, facilitating emotions, understanding emotions, and managing emotions. Continuous performance Test (CPT) and Wisconsin Card Sorting Test (WCST) were used to examine attention and executive function. RESULTS Significant difference in understanding emotions branch of MSCEIT was found between BD patients and HCs (Mann-Whitney U test, p = 0.005). Besides, BD patients had significantly worse performance in WCST and CPT. However, the differences in WCST, CPT, MSCEIT total scores and its subscales were not significant between BD I and BD II patients. CONCLUSION Euthymic Han Chinese BD patients exhibit significant social cognitive deficits in understanding emotion and cognitive dysfunction in attention and executive function. Furthermore, Han Chinese BD I patients showed similar social cognitive and general cognitive ability as compared with BD II patients. Social cognitive rehabilitation on both euthymic BD I and II patients should be considered.
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Affiliation(s)
- Yu Chia Liu
- Department of Psychiatry, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Department of Psychiatry, Tainan Municipal Hospital (managed by Show Chwan Medical Care Corporation), Tainan, Taiwan
| | - Huai-Hsuan Tseng
- Department of Psychiatry, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Institute of Behavioral Medicine, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
| | - Yun-Hsuan Chang
- Department of Psychiatry, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Department of Psychology, College of Medical and Health Science, Asia University, Taichung, Taiwan; Clinical Psychological Center, Asia University Hospital, Taichung, Taiwan; Department of Medical Research, China Medical University Hospital, Taichung, Taiwan
| | - Hui Hua Chang
- Institute of Clinical Pharmacy and Pharmaceutical Sciences, National Cheng Kung University, Tainan, Taiwan; School of Pharmacy, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Department of Pharmacy, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Department of Pharmacy, National Cheng Kung University Hospital, Dou-Liou Branch, Yunlin, Taiwan
| | - Yen Kuang Yang
- Department of Psychiatry, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Institute of Behavioral Medicine, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Department of Psychiatry, Tainan Hospital, Ministry of Health and Welfare, Tainan, Taiwan
| | - Po See Chen
- Department of Psychiatry, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Institute of Behavioral Medicine, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Department of Psychiatry, National Cheng Kung University Hospital, Dou-Liou Branch, Yunlin, Taiwan
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Labad J, Salvat-Pujol N, Armario A, Cabezas Á, de Arriba-Arnau A, Nadal R, Martorell L, Urretavizcaya M, Monreal JA, Crespo JM, Vilella E, Palao DJ, Menchón JM, Soria V. The Role of Sleep Quality, Trait Anxiety and Hypothalamic-Pituitary-Adrenal Axis Measures in Cognitive Abilities of Healthy Individuals. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17207600. [PMID: 33086584 PMCID: PMC7589840 DOI: 10.3390/ijerph17207600] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 08/23/2020] [Revised: 10/15/2020] [Accepted: 10/16/2020] [Indexed: 12/27/2022]
Abstract
Sleep plays a crucial role in cognitive processes. Sleep and wake memory consolidation seem to be regulated by glucocorticoids, pointing out the potential role of the hypothalamic-pituitary-adrenal (HPA) axis in the relationship between sleep quality and cognitive abilities. Trait anxiety is another factor that is likely to moderate the relationship between sleep and cognition, because poorer sleep quality and subtle HPA axis abnormalities have been reported in people with high trait anxiety. The current study aimed to explore whether HPA axis activity or trait anxiety moderate the relationship between sleep quality and cognitive abilities in healthy individuals. We studied 203 healthy individuals. We measured verbal and visual memory, working memory, processing speed, attention and executive function. Sleep quality was assessed with the Pittsburgh Sleep Quality Index. Trait anxiety was assessed with the State-Trait Anxiety Inventory. HPA axis measures included the cortisol awakening response (CAR), diurnal cortisol slope and cortisol levels during the day. Multiple linear regression analyses explored the relationship between sleep quality and cognition and tested potential moderating effects by HPA axis measures and trait anxiety. Poor sleep quality was associated with poorer performance in memory, processing speed and executive function tasks. In people with poorer sleep quality, a blunted CAR was associated with poorer verbal and visual memory and executive functions, and higher cortisol levels during the day were associated with poorer processing speed. Trait anxiety was a moderator of visual memory and executive functioning. These results suggest that subtle abnormalities in the HPA axis and higher trait anxiety contribute to the relationship between lower sleep quality and poorer cognitive functioning in healthy individuals.
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Affiliation(s)
- Javier Labad
- Consorci Sanitari del Maresme, 08340 Mataró, Spain;
- Institut d’Investigació i Innovació Parc Taulí (I3PT), 08208 Sabadell, Spain; (J.A.M.); (D.J.P.)
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Carlos III Health Institute, 28029 Madrid, Spain; (A.A.); (R.N.); (L.M.); (M.U.); (J.M.C.); (E.V.); (J.M.M.)
| | - Neus Salvat-Pujol
- Department of Mental Health, Parc Taulí Hospital Universitari, Universitat Autònoma de Barcelona, 08208 Sabadell, Spain;
- Department of Psychiatry, Bellvitge University Hospital, 08907 L’Hospitalet de Llobregat, Spain;
- Neurosciences Group—Psychiatry and Mental Health, Biomedical Research Institute (IDIBELL), 08908 L’Hospitalet de Llobregat, Spain
| | - Antonio Armario
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Carlos III Health Institute, 28029 Madrid, Spain; (A.A.); (R.N.); (L.M.); (M.U.); (J.M.C.); (E.V.); (J.M.M.)
- Institut de Neurociències, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain
| | - Ángel Cabezas
- Hospital Universitari Institut Pere Mata, Institut d’Investigació Sanitària Pere Virgili (IISPV), Universitat Rovira i Virgili, 43206 Reus, Spain;
| | - Aida de Arriba-Arnau
- Department of Psychiatry, Bellvitge University Hospital, 08907 L’Hospitalet de Llobregat, Spain;
- Neurosciences Group—Psychiatry and Mental Health, Biomedical Research Institute (IDIBELL), 08908 L’Hospitalet de Llobregat, Spain
| | - Roser Nadal
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Carlos III Health Institute, 28029 Madrid, Spain; (A.A.); (R.N.); (L.M.); (M.U.); (J.M.C.); (E.V.); (J.M.M.)
- Institut de Neurociències, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain
| | - Lourdes Martorell
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Carlos III Health Institute, 28029 Madrid, Spain; (A.A.); (R.N.); (L.M.); (M.U.); (J.M.C.); (E.V.); (J.M.M.)
- Hospital Universitari Institut Pere Mata, Institut d’Investigació Sanitària Pere Virgili (IISPV), Universitat Rovira i Virgili, 43206 Reus, Spain;
| | - Mikel Urretavizcaya
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Carlos III Health Institute, 28029 Madrid, Spain; (A.A.); (R.N.); (L.M.); (M.U.); (J.M.C.); (E.V.); (J.M.M.)
- Department of Psychiatry, Bellvitge University Hospital, 08907 L’Hospitalet de Llobregat, Spain;
- Neurosciences Group—Psychiatry and Mental Health, Biomedical Research Institute (IDIBELL), 08908 L’Hospitalet de Llobregat, Spain
- Department of Clinical Sciences, School of Medicine, Universitat de Barcelona, 08907 L’Hospitalet de Llobregat, Spain
| | - José Antonio Monreal
- Institut d’Investigació i Innovació Parc Taulí (I3PT), 08208 Sabadell, Spain; (J.A.M.); (D.J.P.)
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Carlos III Health Institute, 28029 Madrid, Spain; (A.A.); (R.N.); (L.M.); (M.U.); (J.M.C.); (E.V.); (J.M.M.)
- Department of Mental Health, Parc Taulí Hospital Universitari, Universitat Autònoma de Barcelona, 08208 Sabadell, Spain;
| | - José Manuel Crespo
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Carlos III Health Institute, 28029 Madrid, Spain; (A.A.); (R.N.); (L.M.); (M.U.); (J.M.C.); (E.V.); (J.M.M.)
- Department of Psychiatry, Bellvitge University Hospital, 08907 L’Hospitalet de Llobregat, Spain;
- Neurosciences Group—Psychiatry and Mental Health, Biomedical Research Institute (IDIBELL), 08908 L’Hospitalet de Llobregat, Spain
- Department of Clinical Sciences, School of Medicine, Universitat de Barcelona, 08907 L’Hospitalet de Llobregat, Spain
| | - Elisabet Vilella
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Carlos III Health Institute, 28029 Madrid, Spain; (A.A.); (R.N.); (L.M.); (M.U.); (J.M.C.); (E.V.); (J.M.M.)
- Hospital Universitari Institut Pere Mata, Institut d’Investigació Sanitària Pere Virgili (IISPV), Universitat Rovira i Virgili, 43206 Reus, Spain;
| | - Diego José Palao
- Institut d’Investigació i Innovació Parc Taulí (I3PT), 08208 Sabadell, Spain; (J.A.M.); (D.J.P.)
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Carlos III Health Institute, 28029 Madrid, Spain; (A.A.); (R.N.); (L.M.); (M.U.); (J.M.C.); (E.V.); (J.M.M.)
- Department of Mental Health, Parc Taulí Hospital Universitari, Universitat Autònoma de Barcelona, 08208 Sabadell, Spain;
| | - José Manuel Menchón
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Carlos III Health Institute, 28029 Madrid, Spain; (A.A.); (R.N.); (L.M.); (M.U.); (J.M.C.); (E.V.); (J.M.M.)
- Department of Psychiatry, Bellvitge University Hospital, 08907 L’Hospitalet de Llobregat, Spain;
- Neurosciences Group—Psychiatry and Mental Health, Biomedical Research Institute (IDIBELL), 08908 L’Hospitalet de Llobregat, Spain
- Department of Clinical Sciences, School of Medicine, Universitat de Barcelona, 08907 L’Hospitalet de Llobregat, Spain
| | - Virginia Soria
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Carlos III Health Institute, 28029 Madrid, Spain; (A.A.); (R.N.); (L.M.); (M.U.); (J.M.C.); (E.V.); (J.M.M.)
- Department of Psychiatry, Bellvitge University Hospital, 08907 L’Hospitalet de Llobregat, Spain;
- Neurosciences Group—Psychiatry and Mental Health, Biomedical Research Institute (IDIBELL), 08908 L’Hospitalet de Llobregat, Spain
- Department of Clinical Sciences, School of Medicine, Universitat de Barcelona, 08907 L’Hospitalet de Llobregat, Spain
- Correspondence:
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25
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Association between cognition and suicidal ideation in patients with major depressive disorder: A longitudinal study. J Affect Disord 2020; 272:146-151. [PMID: 32379606 DOI: 10.1016/j.jad.2020.03.141] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2019] [Revised: 02/13/2020] [Accepted: 03/29/2020] [Indexed: 01/10/2023]
Abstract
BACKGROUND Suicidal ideation (SI) is common in patients with major depressive disorder (MDD) and often related to cognitive deficits. Limited longitudinal study has shown that cognitive improvement is associated with reduced SI. However, the comparatively study in Chinese depressed patients is still absent. The objective of this study was to explore the specific cognitive deficits in Chinese MDD with SI and investigate the relationship between changes in cognition and change in SI across antidepressant treatment. METHODS Three hundred and five patients with MDD received four weeks of antidepressant treatment. The 17-item Hamilton Depression Rating Scale (HAMD-17) and four domains of the MATRICS Consensus Cognitive Battery (MCCB), including speed of processing, working memory, visual learning and verbal learning were measured at baseline and four-week follow-up. RESULTS One hundred and thirty patients (42.6%) expressed suicidal ideation. Suicidal patients performed worse on verbal learning than non-suicidal patients. Change in speed of processing domain was negatively associated with change in suicidal scores over time. Logistic regression analysis showed that reduction of SI was associated with improvement of speed of processing. LIMITATION The major limitation was that there was no healthy control group in the current study, which might limit the interpretation of cognitive deficits in depressed patients with SI. CONCLUSIONS Our findings suggest that suicidal patients performed worse on verbal learning which can potentially serve as a cognitive biomarker of suicide risk in MDD. Moreover, reduced suicidal ideation was associated with improved speed of processing.
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Karantonis JA, Rossell SL, Carruthers SP, Sumner P, Hughes M, Green MJ, Pantelis C, Burdick KE, Cropley V, Van Rheenen TE. Cognitive validation of cross-diagnostic cognitive subgroups on the schizophrenia-bipolar spectrum. J Affect Disord 2020; 266:710-721. [PMID: 32056949 DOI: 10.1016/j.jad.2020.01.123] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2019] [Revised: 12/03/2019] [Accepted: 01/20/2020] [Indexed: 12/14/2022]
Abstract
BACKGROUND Cognitive heterogeneity in schizophrenia spectrum disorders (SSD) and bipolar disorder (BD) has been explored using clustering analyses. However, the resulting subgroups have not been cognitively validated beyond measures used as clustering variables themselves. We compared the emergent cross-diagnostic subgroups of SSD and BD patients on measures used to classify them, and also across a range of alternative cognitive measures assessing some of the same constructs. METHOD Domain scores from the Matrics Consensus Cognitive Battery were used in a cross-diagnostic clustering analysis of 86 patients with SSD (n = 45) and BD (n = 41). The emergent subgroups were then compared to each other and healthy controls (n = 76) on these and alternative measures of these domains, as well as on premorbid IQ, global cognition and a proxy of cognitive decline. RESULTS A three-cluster solution was most appropriate, with subgroups labelled as Globally Impaired, Selectively Impaired, and Superior/Near-Normal relative to controls. With the exception of processing speed performance, the subgroups were generally differentiated on the cognitive domain scores used as clustering variables. Differences in cognitive performance among these subgroups were not always statistically significant when compared on the alternative cognitive measures. There was evidence of global cognitive impairment and putative cognitive decline in the two cognitively impaired subgroups. LIMITATIONS For clustering analysis, sample size was relatively small. CONCLUSIONS The overall pattern of findings tentatively suggest that emergent cross-diagnostic cognitive subgroups are not artefacts of the measures used to define them, but may represent the outcome of different cognitive trajectories.
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Affiliation(s)
- James A Karantonis
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Melbourne, Australia; Centre for Mental Health, Faculty of Health, Arts and Design, School of Health Sciences, Swinburne University, Melbourne, Australia
| | - Susan L Rossell
- Centre for Mental Health, Faculty of Health, Arts and Design, School of Health Sciences, Swinburne University, Melbourne, Australia; St Vincent's Mental Health, St Vincent's Hospital, VIC, Australia
| | - Sean P Carruthers
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Melbourne, Australia; Centre for Mental Health, Faculty of Health, Arts and Design, School of Health Sciences, Swinburne University, Melbourne, Australia
| | - Philip Sumner
- Centre for Mental Health, Faculty of Health, Arts and Design, School of Health Sciences, Swinburne University, Melbourne, Australia
| | - Matthew Hughes
- Centre for Mental Health, Faculty of Health, Arts and Design, School of Health Sciences, Swinburne University, Melbourne, Australia
| | - Melissa J Green
- School of Psychiatry, University of New South Wales (UNSW), Sydney, NSW, Australia; Neuroscience Research Australia, Randwick, NSW, Australia
| | - Christos Pantelis
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Melbourne, Australia; Florey Institute of Neuroscience and Mental Health, Melbourne, Australia; Department of Electrical and Electronic Engineering, University of Melbourne, VIC, Australia; Centre for Neuropsychiatric Schizophrenia Research (CNSR) and Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS), Mental Health Centre Glostrup, Glostrup, Denmark
| | - Katherine E Burdick
- Harvard Medical School, Department of Psychiatry, Boston, MA, United States; Brigham and Women's Hospital, Boston, MA, United States
| | - Vanessa Cropley
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Melbourne, Australia; Centre for Mental Health, Faculty of Health, Arts and Design, School of Health Sciences, Swinburne University, Melbourne, Australia
| | - Tamsyn E Van Rheenen
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Melbourne, Australia; Centre for Mental Health, Faculty of Health, Arts and Design, School of Health Sciences, Swinburne University, Melbourne, Australia.
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Liang S, Yu W, Ma X, Luo S, Zhang J, Sun X, Luo X, Zhang Y. Psychometric properties of the MATRICS Consensus Cognitive Battery (MCCB) in Chinese patients with major depressive disorder. J Affect Disord 2020; 265:132-138. [PMID: 32090734 DOI: 10.1016/j.jad.2020.01.052] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2019] [Revised: 12/13/2019] [Accepted: 01/13/2020] [Indexed: 01/10/2023]
Abstract
BACKGROUND Major depression disorder (MDD) is often associated with cognitive impairment. The development of an accurate and effective battery to measure cognitive deficit is necessary for both research and clinical practice in MDD. Our study was designed to test the psychometric properties of the MATRICS Consensus Cognitive Battery (MCCB) in patients with MDD. METHOD Forty-eight patients with MDD, forty-three euthymic patients with bipolar disorder (BD) and thirty-two remitted patients with schizophrenia (SCH) were recruited from Tianjin Anding Hospital in Tianjin, China. The MCCB, the Montreal Cognitive Assessment (MoCA) and the Hamilton Depression Rating Scale-17 (HDRS-17) were administered to assess cognitive impairment and depressive symptoms at both baseline and one month later. RESULT Our findings showed that the MCCB had good internal consistency and acceptable reliability in Chinese MDD patients. Our findings revealed a high correlation between the MCCB and the MoCA, indicating good concurrent validity of the MCCB. Furthermore, the MCCB showed high discriminant ability between MDD patients and healthy controls, and a principal component analysis of the MCCB in MDD patients revealed four domains with acceptable internal structure. LIMITATIONS We did not consider confounding factors, such as the course, severity of symptoms and medication treatments, which might bias the cognitive assessment. In addition, the use of the MoCA as a reference scale for mild cognitive impairment could weaken the concurrent validity of the MCCB in MDD patients. CONCLUSION Our findings demonstrated that the MCCB may be clinically useful as a cognitive impairment rating battery in Chinese patients with MDD.
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Affiliation(s)
- Sixiang Liang
- Tianjin Anding Hospital, Tianjin 300222, China; The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Wenwen Yu
- Tianjin Anding Hospital, Tianjin 300222, China
| | - Xiaojuan Ma
- Tianjin Medical College, Tianjin 300222, China
| | - Shuqing Luo
- Department of Obstetrics, Baoding Second Central Hospital, Hebei 072750, China
| | - Jian Zhang
- Tianjin Anding Hospital, Tianjin 300222, China
| | - Xia Sun
- Tianjin Anding Hospital, Tianjin 300222, China
| | - Xingguang Luo
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06511, United States
| | - Yong Zhang
- Tianjin Anding Hospital, Tianjin 300222, China.
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Varo C, Jiménez E, Solé B, Bonnín CM, Torrent C, Lahera G, Benabarre A, Saiz PA, de la Fuente L, Martínez-Arán A, Vieta E, Reinares M. Social cognition in bipolar disorder: the role of sociodemographic, clinical, and neurocognitive variables in emotional intelligence. Acta Psychiatr Scand 2019; 139:369-380. [PMID: 30786002 DOI: 10.1111/acps.13014] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/11/2019] [Indexed: 12/20/2022]
Abstract
OBJECTIVE The main aims of this study were to examine the differences in the Emotional Intelligence (EI), the emotional domain of social cognition (SC), between euthymic patients with bipolar disorder (BD) and healthy controls (HC) and to evaluate the contribution of sociodemographic, clinical, and neuropsychological variables to EI. METHODS We recruited 202 patients with BD and 50 HC. EI was evaluated using the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT). The sociodemographic, clinical, and neurocognitive variables that showed a significant association with EI were entered into hierarchical multiple regression analysis. RESULTS BD patients obtained significantly lower scores compared to HC in the Emotional Intelligence Quotient (EIQ) and in the Understanding Emotions branch score. The best fitting model for the variables associated with EI in the patients group was a linear combination of gender, estimated IQ, family history of affective diagnosis, and executive function. The model, including these previous variables, explained up to 27.6% of the observed variance (R2 = 0.276, F = 16.406, P < 0.001). CONCLUSIONS The identification of variables associated with deficit in EI, such as male gender, lower estimated IQ, family history of affective diagnosis. and lower executive function performance, may help in selecting treatment targets to improve SC, and especially EI, in patients with BD.
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Affiliation(s)
- C Varo
- Bipolar and Depressive Disorders Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - E Jiménez
- Bipolar and Depressive Disorders Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - B Solé
- Bipolar and Depressive Disorders Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - C M Bonnín
- Bipolar and Depressive Disorders Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - C Torrent
- Bipolar and Depressive Disorders Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - G Lahera
- Faculty of Medicine, University of Alcalá, IRyCIS, CIBERSAM, Madrid, Spain
| | - A Benabarre
- Bipolar and Depressive Disorders Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - P A Saiz
- Department of Psychiatry, School of Medicine, University of Oviedo, CIBERSAM Instituto de Neurociencias del Principado de Asturias, INEUROPA, Oviedo, Spain.,Servicio de Salud del Principado de Asturias (SESPA), Oviedo, Spain
| | - L de la Fuente
- Department of Psychiatry, School of Medicine, University of Oviedo, CIBERSAM Instituto de Neurociencias del Principado de Asturias, INEUROPA, Oviedo, Spain.,Servicio de Salud del Principado de Asturias (SESPA), Oviedo, Spain
| | - A Martínez-Arán
- Bipolar and Depressive Disorders Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - E Vieta
- Bipolar and Depressive Disorders Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - M Reinares
- Bipolar and Depressive Disorders Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
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Abstract
Cognitive dysfunction is common in many psychiatric disorders. While it has long been described as a core feature in schizophrenia, more recent data suggest qualitatively similar impairments in patients with bipolar disorder and major depressive disorder. There is compelling evidence to suggest that cognitive impairment contributes directly to functional disability and reduced quality of like across these disorders. As current treatments focus heavily on "primary" symptoms of mood and psychosis, the standard of care typically leaves cognitive deficits unmanaged. With this in mind, the field has recently begun to consider intervening directly on this important symptom domain, with several ongoing trials in schizophrenia. Fewer studies have targeted cognition in bipolar disorder and still fewer in MDD. With progress toward considering this domain as a target for treatment comes the need for consensus guidelines and methodological recommendations on cognitive trial design. In this manuscript, we first summarize the work conducted to date in this area for schizophrenia and for bipolar disorder. We then begin to address these same issues in MDD and emphasize the need for additional work in this area.
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Bjoerke-Bertheussen J, Schoeyen H, Andreassen OA, Malt UF, Oedegaard KJ, Morken G, Sundet K, Vaaler AE, Auestad B, Kessler U. Right unilateral electroconvulsive therapy does not cause more cognitive impairment than pharmacologic treatment in treatment-resistant bipolar depression: A 6-month randomized controlled trial follow-up study. Bipolar Disord 2018; 20:531-538. [PMID: 29267990 DOI: 10.1111/bdi.12594] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2017] [Accepted: 11/13/2017] [Indexed: 11/29/2022]
Abstract
OBJECTIVES Electroconvulsive therapy is an effective treatment for bipolar depression, but there are concerns about whether it causes long-term neurocognitive impairment. METHODS In this multicenter randomized controlled trial, in-patients with treatment-resistant bipolar depression were randomized to either algorithm-based pharmacologic treatment or right unilateral electroconvulsive therapy. After the 6-week treatment period, all of the patients received maintenance pharmacotherapy as recommended by their clinician guided by a relevant treatment algorithm. Patients were assessed at baseline and at 6 months. Neurocognitive functions were assessed using the Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) Consensus Cognitive Battery, and autobiographical memory consistency was assessed using the Autobiographical Memory Interview-Short Form. RESULTS Seventy-three patients entered the trial, of whom 51 and 26 completed neurocognitive assessments at baseline and 6 months, respectively. The MATRICS Consensus Cognitive Battery composite score improved by 4.1 points in both groups (P = .042) from baseline to 6 months (from 40.8 to 44.9 and from 41.9 to 46.0 in the algorithm-based pharmacologic treatment and electroconvulsive therapy groups, respectively). The Autobiographical Memory Interview-Short Form consistency scores were reduced in both groups (72.3% vs 64.3% in the algorithm-based pharmacologic treatment and electroconvulsive therapy groups, respectively; P = .085). CONCLUSIONS This study did not find that right unilateral electroconvulsive therapy caused long-term impairment in neurocognitive functions compared to algorithm-based pharmacologic treatment in bipolar depression as measured using standard neuropsychological tests, but due to the low number of patients in the study the results should be interpreted with caution. TRIAL REGISTRATION ClinicalTrials.gov: NCT00664976.
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Affiliation(s)
| | - Helle Schoeyen
- Department of Psychiatry, Helse Stavanger, Stavanger Universitetssjukehus, Stavanger, Norway
| | | | - Ulrik F Malt
- Department of Neuropsychiatry and Psychosomatic Medicine, University of Oslo, Oslo, Norway
| | - Ketil J Oedegaard
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Gunnar Morken
- Sankt Olavs Hospital Universitetssykehuset i Trondheim, Trondheim, Norway
| | - Kjetil Sundet
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Arne E Vaaler
- Sankt Olavs Hospital Universitetssykehuset i Trondheim, Trondheim, Norway
| | | | - Ute Kessler
- Haukeland Universitetssjukehus, Bergen, Norway
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Emotion perception, non-social cognition and symptoms as predictors of theory of mind in schizophrenia. Compr Psychiatry 2018; 85:1-7. [PMID: 29906670 DOI: 10.1016/j.comppsych.2018.05.002] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2018] [Revised: 05/28/2018] [Accepted: 05/31/2018] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Theory of mind (ToM) can be divided into cognitive and affective ToM, and a distinction can be made between overmentalizing and undermentalizing errors. Research has shown that ToM in schizophrenia is associated with non-social and social cognition, and with clinical symptoms. In this study, we investigate cognitive and clinical predictors of different ToM processes. METHODS Ninety-one individuals with schizophrenia participated. ToM was measured with the Movie for the Assessment of Social Cognition (MASC) yielding six scores (total ToM, cognitive ToM, affective ToM, overmentalizing errors, undermentalizing errors and no mentalizing errors). Neurocognition was indexed by a composite score based on the non-social cognitive tests in the MATRICS Consensus Cognitive Battery (MCCB). Emotion perception was measured with Emotion in Biological Motion (EmoBio), a point-light walker task. Clinical symptoms were assessed with the Positive and Negative Syndrome Scale (PANSS). Seventy-one healthy control (HC) participants completed the MASC. RESULTS Individuals with schizophrenia showed large impairments compared to HC for all MASC scores, except overmentalizing errors. Hierarchical regression analyses with the six different MASC scores as dependent variables revealed that MCCB was a significant predictor of all MASC scores, explaining 8-18% of the variance. EmoBio increased the explained variance significantly, to 17-28%, except for overmentalizing errors. PANSS excited symptoms increased explained variance for total ToM, affective ToM and no mentalizing errors. DISCUSSION Both social and non-social cognition were significant predictors of ToM. Overmentalizing was only predicted by non-social cognition. Excited symptoms contributed to overall and affective ToM, and to no mentalizing errors.
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Lynham AJ, Hubbard L, Tansey KE, Hamshere ML, Legge SE, Owen MJ, Jones IR, Walters JTR. Examining cognition across the bipolar/schizophrenia diagnostic spectrum. J Psychiatry Neurosci 2018; 43:170076. [PMID: 29620518 PMCID: PMC6019354 DOI: 10.1503/jpn.170076] [Citation(s) in RCA: 45] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2017] [Revised: 08/12/2017] [Accepted: 09/11/2017] [Indexed: 01/31/2023] Open
Abstract
BACKGROUND Cognitive impairments are well-established features of schizophrenia, but there is ongoing debate about the nature and degree of cognitive impairment in patients with schizoaffective disorder and bipolar disorder. We hypothesized that there is a spectrum of increasing impairment from bipolar disorder to schizoaffective disorder bipolar type, to schizoaffective disorder depressive type and schizophrenia. METHODS We compared performance on the Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) Consensus Cognitive Battery between participants with schizophrenia (n = 558), schizoaffective disorder depressive type (n = 112), schizoaffective disorder type (n = 76), bipolar disorder (n = 78) and healthy participants (n = 103) using analysis of covariance with post hoc comparisons. We conducted an ordinal logistic regression to examine whether cognitive impairments followed the hypothesized spectrum from bipolar disorder (least severe) to schizophrenia (most severe). In addition to categorical diagnoses, we addressed the influence of symptom domains, examining the association between cognition and mania, depression and psychosis. RESULTS Cognitive impairments increased in severity from bipolar disorder to schizoaffective disorder bipolar type, to schizophrenia and schizoaffective disorder depressive type. Participants with schizophrenia and schizoaffective disorder depressive type showed equivalent performance (d = 0.07, p = 0.90). The results of the ordinal logistic regression were consistent with a spectrum of deficits from bipolar disorder to schizoaffective disorder bipolar type, to schizophrenia/schizoaffective disorder depressive type (odds ratio = 1.98, p < 0.001). In analyses of the associations between symptom dimensions and cognition, higher scores on the psychosis dimension were associated with poorer performance (B = 0.015, standard error = 0.002, p < 0.001). LIMITATIONS There were fewer participants with schizoaffective disorder and bipolar disorder than schizophrenia. Despite this, our analyses were robust to differences in group sizes, and we were able to detect differences between groups. CONCLUSION Cognitive impairments represent a symptom dimension that cuts across traditional diagnostic boundaries.
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Affiliation(s)
- Amy J Lynham
- From the MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK (Lynham, Hubbard, Hamshere, Legge, Owen, Jones, Walters); and the College of Biomedical and Life Sciences, Cardiff University, Cardiff, UK (Tansey)
| | - Leon Hubbard
- From the MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK (Lynham, Hubbard, Hamshere, Legge, Owen, Jones, Walters); and the College of Biomedical and Life Sciences, Cardiff University, Cardiff, UK (Tansey)
| | - Katherine E Tansey
- From the MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK (Lynham, Hubbard, Hamshere, Legge, Owen, Jones, Walters); and the College of Biomedical and Life Sciences, Cardiff University, Cardiff, UK (Tansey)
| | - Marian L Hamshere
- From the MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK (Lynham, Hubbard, Hamshere, Legge, Owen, Jones, Walters); and the College of Biomedical and Life Sciences, Cardiff University, Cardiff, UK (Tansey)
| | - Sophie E Legge
- From the MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK (Lynham, Hubbard, Hamshere, Legge, Owen, Jones, Walters); and the College of Biomedical and Life Sciences, Cardiff University, Cardiff, UK (Tansey)
| | - Michael J Owen
- From the MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK (Lynham, Hubbard, Hamshere, Legge, Owen, Jones, Walters); and the College of Biomedical and Life Sciences, Cardiff University, Cardiff, UK (Tansey)
| | - Ian R Jones
- From the MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK (Lynham, Hubbard, Hamshere, Legge, Owen, Jones, Walters); and the College of Biomedical and Life Sciences, Cardiff University, Cardiff, UK (Tansey)
| | - James T R Walters
- From the MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK (Lynham, Hubbard, Hamshere, Legge, Owen, Jones, Walters); and the College of Biomedical and Life Sciences, Cardiff University, Cardiff, UK (Tansey)
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Dean OM, Gliddon E, Van Rheenen TE, Giorlando F, Davidson SK, Kaur M, Ngo TT, Williams LJ. An update on adjunctive treatment options for bipolar disorder. Bipolar Disord 2018; 20:87-96. [PMID: 29369487 DOI: 10.1111/bdi.12601] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2017] [Revised: 11/19/2017] [Accepted: 12/15/2017] [Indexed: 02/06/2023]
Abstract
OBJECTIVES Bipolar disorder is a complex illness often requiring combinations of therapies to successfully treat symptoms. In recent years, there have been significant advancements in a number of therapies for bipolar disorder. It is therefore timely to provide an overview of current adjunctive therapeutic options to help treating clinicians to inform their patients and work towards optimal outcomes. METHODS Publications were identified from PubMed searches on bipolar disorder and pharmacotherapy, nutraceuticals, hormone therapy, psychoeducation, interpersonal and social rhythm therapy, cognitive remediation, mindfulness, e-Health and brain stimulation techniques. Relevant articles in these areas were selected for further review. This paper provides a narrative review of adjunctive treatment options and is not a systematic review of the literature. RESULTS A number of pharmacotherapeutic, psychological and neuromodulation treatment options are available. These have varying efficacy but all have shown benefit to people with bipolar disorder. Due to the complex nature of treating the disorder, combination treatments are often required. Adjunctive treatments to traditional pharmacological and psychological therapies are proving useful in closing the gap between initial symptom remission and full functional recovery. CONCLUSIONS Given that response to monotherapy is often inadequate, combination regimens for bipolar disorder are typical. Correspondingly, psychiatric research is working towards a better understanding of the disorder's underlying biology. Therefore, treatment options are changing and adjunctive therapies are being increasingly recognized as providing significant tools to improve patient outcomes. Towards this end, this paper provides an overview of novel treatments that may improve clinical outcomes for people with bipolar disorder.
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Affiliation(s)
- Olivia M Dean
- IMPACT Strategic Research Centre, Deakin University, Geelong, Vic., Australia.,Florey Institute for Neuroscience and Mental Health, University of Melbourne, Parkville, Vic., Australia.,Department of Psychiatry, University of Melbourne, Parkville, Vic., Australia
| | - Emma Gliddon
- IMPACT Strategic Research Centre, Deakin University, Geelong, Vic., Australia.,Department of Psychiatry, University of Melbourne, Parkville, Vic., Australia
| | - Tamsyn E Van Rheenen
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne, Melbourne, Vic., Australia.,Centre for Mental Health, Swinburne University, Melbourne, Vic., Australia.,Monash Alfred Psychiatry Research Centre, Central Clinical School, Monash University and The Alfred Hospital, Melbourne, Vic., Australia
| | - Francesco Giorlando
- Department of Psychiatry, University of Melbourne, Parkville, Vic., Australia
| | - Sandra K Davidson
- Department of General Practice, Melbourne Medical School, University of Melbourne, Carlton, Vic., Australia
| | - Manreena Kaur
- Monash Alfred Psychiatry Research Centre, Central Clinical School, Monash University and The Alfred Hospital, Melbourne, Vic., Australia
| | - Trung T Ngo
- Mater Research Institute-UQ, Faculty of Medicine, The University of Queensland and Translational Research Institute, Brisbane, Qld, Australia.,Genetic Epidemiology Laboratory, QIMR Berghofer Medical Research Institute, Brisbane, Qld, Australia
| | - Lana J Williams
- IMPACT Strategic Research Centre, Deakin University, Geelong, Vic., Australia
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Burton CZ, Ryan KA, Kamali M, Marshall DF, Harrington G, McInnis MG, Tso IF. Psychosis in bipolar disorder: Does it represent a more "severe" illness? Bipolar Disord 2018; 20:18-26. [PMID: 28833984 PMCID: PMC5807194 DOI: 10.1111/bdi.12527] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2017] [Accepted: 06/26/2017] [Indexed: 12/23/2022]
Abstract
OBJECTIVES Although there is a common clinical assumption that bipolar disorder with psychotic features reflects greater severity than bipolar disorder without psychosis, the existing empirical literature is mixed. This study investigated the phenomenology of psychosis as well as demographic, clinical, functional, and neuropsychological features in a large, cross-sectional sample of participants with bipolar disorder divided by history of psychosis. METHODS In a large single study, 168 affective-only bipolar disorder (BP-A) participants and 213 bipolar disorder with a history of psychosis (BP-P) participants completed a comprehensive clinical diagnostic interview and neuropsychological testing. t tests, chi-square tests, and Bayes factors were used to investigate group differences or lack thereof. RESULTS The prevalence of psychosis in this sample (53%) was similar to published reports. Nearly half of BP-P participants experienced grandiose delusions, and relatively few endorsed "first-rank" hallucinations of running commentary or two or more voices conversing. There were no demographic or neuropsychological differences between groups. BP-A participants experienced greater chronicity of affective symptoms and a greater degree of rapid cycling than BP-P participants; there were no other clinical differences between groups. CONCLUSIONS Overall, these results contradict the conventional notion that bipolar disorder with psychotic features represents a more severe illness than bipolar disorder without a history of psychosis. The presence of psychosis does not appear to be associated with poorer clinical/functional outcome or suggest a greater degree of neuropsychological impairment; conversely, the absence of psychosis was associated with affective chronicity and rapid cycling. Nosological and treatment implications are discussed.
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Affiliation(s)
- Cynthia Z Burton
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Kelly A Ryan
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Masoud Kamali
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
- Massachusetts General Hospital, Boston, MA, USA
| | - David F Marshall
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Gloria Harrington
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Melvin G McInnis
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Ivy F Tso
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
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Yao B, Mueller SA, Grove TB, McLaughlin M, Thakkar K, Ellingrod V, McInnis MG, Taylor SF, Deldin PJ, Tso IF. Eye gaze perception in bipolar disorder: Self-referential bias but intact perceptual sensitivity. Bipolar Disord 2018; 20:60-69. [PMID: 29168603 PMCID: PMC5807101 DOI: 10.1111/bdi.12564] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2017] [Revised: 08/17/2017] [Accepted: 09/22/2017] [Indexed: 11/26/2022]
Abstract
OBJECTIVES Deficits in social cognition predict poor functional outcome in severe mental illnesses such as schizophrenia and autism. However, research findings on social cognition in bipolar disorder (BD) are sparse and inconsistent. This study aimed to characterize a critical social cognitive process-eye gaze perception-and examine its functional correlates in BD to inform psychopathological mechanisms. METHODS Thirty participants with BD, 37 healthy controls (HC), and 46 psychiatric controls with schizophrenia (SZ) completed an eye-contact perception task. They viewed faces with varying gaze directions, head orientations, and emotion, and made eye-contact judgments. Psychophysics methods were used to estimate perception thresholds and the slope of the perception curve, which were then compared between the groups and correlated with clinical and functional measures using Bayesian inference. RESULTS Compared with HC, patients with BD over-perceived eye contact when gaze direction was ambiguous, and this self-referential bias was similar to that in SZ. Patients with BD had lower thresholds (i.e., needed weaker eye-contact signal to start perceiving gaze as self-directed) but a similar slope compared with HC. Regression analyses showed that steeper slope predicted better socio-emotional functioning in HC and SZ, but not in BD. CONCLUSIONS The psychopathology of social dysfunction was fundamentally different between BD and SZ in this modest sample. Eye gaze perception in BD was characterized by a self-referential bias but preserved perceptual sensitivity, the latter of which distinguished BD from SZ. The relationship between gaze perception and broader socio-emotional functioning in SZ and HC was absent in BD.
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Affiliation(s)
- Beier Yao
- Department of Psychology, Michigan State University
| | | | | | | | | | - Vicki Ellingrod
- Department of Psychology, University of Michigan,Department of Psychiatry, University of Michigan,College of Pharmacy, University of Michigan
| | | | | | - Patricia J. Deldin
- Department of Psychology, University of Michigan,Department of Psychiatry, University of Michigan
| | - Ivy F. Tso
- Department of Psychology, University of Michigan,Department of Psychiatry, University of Michigan
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36
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Tamiya H, Ouchi A, Chen R, Miyazawa S, Akimoto Y, Kaneda Y, Sora I. Neurocognitive Impairments Are More Severe in the Binge-Eating/Purging Anorexia Nervosa Subtype Than in the Restricting Subtype. Front Psychiatry 2018; 9:138. [PMID: 29713293 PMCID: PMC5911723 DOI: 10.3389/fpsyt.2018.00138] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2017] [Accepted: 03/29/2018] [Indexed: 12/29/2022] Open
Abstract
Objective: To evaluate cognitive function impairment in patients with anorexia nervosa (AN) of either the restricting (ANR) or binge-eating/purging (ANBP) subtype. Method: We administered the Japanese version of the MATRICS Consensus Cognitive Battery to 22 patients with ANR, 18 patients with ANBP, and 69 healthy control subjects. Our participants were selected from among the patients at the Kobe University Hospital and community residents. Results: Compared to the healthy controls, the ANR group had significantly lower visual learning and social cognition scores, and the ANBP group had significantly lower processing speed, attention/vigilance, visual learning, reasoning/problem-solving, and social cognition scores. Compared to the ANR group, the ANBP group had significantly lower attention/vigilance scores. Discussion: The AN subtypes differed in cognitive function impairments. Participants with ANBP, which is associated with higher mortality rates than ANR, exhibited greater impairment severities, especially in the attention/vigilance domain, confirming the presence of impairments in continuous concentration. This may relate to the impulsivity, an ANBP characteristic reported in the personality research. Future studies can further clarify the cognitive impairments of each subtype by addressing the subtype cognitive functions and personality characteristics.
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Affiliation(s)
- Hiroko Tamiya
- Department of Psychiatry, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Atushi Ouchi
- Department of Psychiatry, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Runshu Chen
- Department of Psychiatry, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Shiho Miyazawa
- Department of Biological Psychiatry, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Yoritaka Akimoto
- Department of Information & Management Systems Engineering, Nagaoka University of Technology, Nagaoka, Japan
| | | | - Ichiro Sora
- Department of Psychiatry, Kobe University Graduate School of Medicine, Kobe, Japan
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Fiorillo A, Carpiniello B, De Giorgi S, La Pia S, Maina G, Sampogna G, Spina E, Tortorella A, Vita A. Assessment and Management of Cognitive and Psychosocial Dysfunctions in Patients With Major Depressive Disorder: A Clinical Review. Front Psychiatry 2018; 9:493. [PMID: 30364225 PMCID: PMC6193102 DOI: 10.3389/fpsyt.2018.00493] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2018] [Accepted: 09/20/2018] [Indexed: 12/20/2022] Open
Abstract
Background: Full functional recovery is defined as a state in which patients are again able to enjoy their usual activities, return to work, and take care of themselves, and it should represent the end goal of treatment in patients with major depressive disorder (MDD). Patients with MDD report many unmet needs, including residual cognitive symptoms, lack of improvement in psychosocial functioning and life satisfaction, even during mood symptom remission. In this paper, we aim to: (a) identify the available assessment tools for evaluating cognitive and psychosocial functioning in patients with MDD; (b) provide an overview of therapeutic options that can improve full functional recovery in MDD also by improving cognitive symptoms. Methods: The relevant databases MEDLINE, ISI Web of Knowledge - Web of Science Index, Cochrane Reviews Library and PsychoINFO were searched for identifying papers on validated tools for the assessment of cognitive and personal functioning in patients with MDD. Results: New assessment tools (such as the THINC-it TOOL, the COBRA, the SCIP-D, and the UPSA-D) have been developed for evaluating the cognitive dysfunction in MDD patients. Adopting these tools in the clinical routine practice is useful to evaluate the improvement in cognitive functioning and, therefore, the achievement of full functioning recovery. The optimal management of patients with MDD include the combination of pharmacological compounds and psychosocial interventions for achieving full functional recovery in patients with MDD. Conclusions: Full functional recovery must be the target of any treatment programme for patients with MDD. In order to achieve this goal, it is necessary to develop personalized treatment and integrate psychosocial and psychopharmacological interventions.
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Affiliation(s)
- Andrea Fiorillo
- Department of Psychiatry, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Bernardo Carpiniello
- Department of Public Health, Clinical and Molecular Medicine, University of Cagliari, Cagliari, Italy
| | | | | | - Giuseppe Maina
- AOU San Luigi Gonzaga, University of Turin, Turin, Italy
| | - Gaia Sampogna
- Department of Psychiatry, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Edoardo Spina
- Department of Clinical and Experimental Pharmacology, University of Messina, Messina, Italy
| | | | - Antonio Vita
- Neuroscience Section, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy.,Department of Mental Health, Spedali Civili Hospital, Brescia, Italy
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Calafiore D, Rossell SL, Van Rheenen TE. Cognitive abilities in first-degree relatives of individuals with bipolar disorder. J Affect Disord 2018; 225:147-152. [PMID: 28829959 DOI: 10.1016/j.jad.2017.08.029] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2016] [Revised: 03/16/2017] [Accepted: 08/10/2017] [Indexed: 02/03/2023]
Abstract
BACKGROUND Although the study of cognition in first degree relatives (FDRs) is not new, findings in this group are still somewhat inconsistent and much of the research examining FDR populations include individuals under the age of 25, who are arguably still at significant risk to go on to develop BD. The present study aimed to establish the value of cognitive performance as a genuine endophenotypic marker of familial risk for bipolar disorder (BD), by examining cognition in FDRs aged 25 years or older. METHODS The current study compared the cognitive performance of 27 unaffected FDRs to 47 healthy controls (HCs) and 28 BD patients using the MATRICS Consensus Cognitive Battery (MCCB). RESULTS Results indicated that FDRs had impaired verbal learning performance, as well as selective impairments on a measure of speed of processing; and a measure of spatial working memory compared to HC. LIMITATIONS Limitations relate to the potential insensitivity of some of the tests in the MCCB for detecting cognitive deficits that have been previously noted in BD and FDR samples using other batteries. CONCLUSIONS Findings from this study implicate verbal learning, processing speed and working memory performance as promising candidate endophenotypes of familial risk for BD.
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Affiliation(s)
- Daniela Calafiore
- Centre for Mental Health, Faculty of Health, Arts and Design, School of Health Sciences, Swinburne University, Melbourne, Australia
| | - Susan L Rossell
- Centre for Mental Health, Faculty of Health, Arts and Design, School of Health Sciences, Swinburne University, Melbourne, Australia; Cognitive Neuropsychiatry Laboratory, Monash Alfred Psychiatry Research Centre (MAPrc), The Alfred Hospital and Central Clinical School, Monash University, Melbourne, Australia; Department of Psychiatry, St Vincent's Hospital, Melbourne, Australia
| | - Tamsyn E Van Rheenen
- Centre for Mental Health, Faculty of Health, Arts and Design, School of Health Sciences, Swinburne University, Melbourne, Australia; Department of Psychiatry, St Vincent's Hospital, Melbourne, Australia; Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne, Melbourne, Australia.
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Miskowiak KW, Burdick KE, Martinez‐Aran A, Bonnin CM, Bowie CR, Carvalho AF, Gallagher P, Lafer B, López‐Jaramillo C, Sumiyoshi T, McIntyre RS, Schaffer A, Porter RJ, Torres IJ, Yatham LN, Young AH, Kessing LV, Vieta E. Methodological recommendations for cognition trials in bipolar disorder by the International Society for Bipolar Disorders Targeting Cognition Task Force. Bipolar Disord 2017; 19:614-626. [PMID: 28895274 PMCID: PMC6282834 DOI: 10.1111/bdi.12534] [Citation(s) in RCA: 146] [Impact Index Per Article: 18.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2017] [Accepted: 07/20/2017] [Indexed: 12/18/2022]
Abstract
OBJECTIVES To aid the development of treatment for cognitive impairment in bipolar disorder, the International Society for Bipolar Disorders (ISBD) convened a task force to create a consensus-based guidance paper for the methodology and design of cognition trials in bipolar disorder. METHODS The task force was launched in September 2016, consisting of 18 international experts from nine countries. A series of methodological issues were identified based on literature review and expert opinion. The issues were discussed and expanded upon in an initial face-to-face meeting, telephone conference call and email exchanges. Based upon these exchanges, recommendations were achieved. RESULTS Key methodological challenges are: lack of consensus on how to screen for entry into cognitive treatment trials, define cognitive impairment, track efficacy, assess functional implications, and manage mood symptoms and concomitant medication. Task force recommendations are to: (i) enrich trials with objectively measured cognitively impaired patients; (ii) generally select a broad cognitive composite score as the primary outcome and a functional measure as a key secondary outcome; and (iii) include remitted or partly remitted patients. It is strongly encouraged that trials exclude patients with current substance or alcohol use disorders, neurological disease or unstable medical illness, and keep non-study medications stable. Additional methodological considerations include neuroimaging assessments, targeting of treatments to illness stage and using a multimodal approach. CONCLUSIONS This ISBD task force guidance paper provides the first consensus-based recommendations for cognition trials in bipolar disorder. Adherence to these recommendations will likely improve the sensitivity in detecting treatment efficacy in future trials and increase comparability between studies.
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Affiliation(s)
- KW Miskowiak
- Copenhagen Affective Disorder Research CentrePsychiatric Centre CopenhagenCopenhagen University HospitalRigshospitaletCopenhagenDenmark
- Department of PsychologyUniversity of CopenhagenCopenhagenDenmark
| | - KE Burdick
- Department of PsychiatryBrigham and Women's HospitalHarvard Medical SchoolBostonMAUSA
| | - A Martinez‐Aran
- Clinical Institute of NeuroscienceHospital ClinicUniversity of BarcelonaIDIBAPSCIBERSAMBarcelonaCataloniaSpain
| | - CM Bonnin
- Clinical Institute of NeuroscienceHospital ClinicUniversity of BarcelonaIDIBAPSCIBERSAMBarcelonaCataloniaSpain
| | - CR Bowie
- Department of PsychologyQueen's UniversityKingstonCanada
| | - AF Carvalho
- Department of Clinical MedicineFederal University of CearáFortalezaBrazil
| | - P Gallagher
- Institute of NeuroscienceNewcastle UniversityNewcastle upon TyneUK
| | - B Lafer
- Bipolar Disorder Research ProgramInstitute of PsychiatryUniversity of São Paulo Medical SchoolSão PauloBrazil
| | - C López‐Jaramillo
- Research Group in PsychiatryDepartment of PsychiatryUniversidad de AntioquiaMedellínColombia
| | - T Sumiyoshi
- Department of Clinical EpidemiologyNational Center of Neurology and PsychiatryTokyoJapan
| | - RS McIntyre
- Mood Disorders Psychopharmacology Unit, Brain and Cognition Discovery Foundation, University of TorontoTorontoCanada
| | - A Schaffer
- Department of PsychiatryUniversity of TorontoTorontoCanada
| | - RJ Porter
- Department of Psychological MedicineUniversity of OtagoChristchurchNew Zealand
| | - IJ Torres
- Department of PsychiatryUniversity of British ColumbiaVancouverCanada
| | - LN Yatham
- Department of PsychiatryUniversity of British ColumbiaVancouverCanada
| | - AH Young
- Department of Psychological MedicineInstitute of PsychiatryPsychology and NeuroscienceKing's College LondonLondonUK
| | - LV Kessing
- Copenhagen Affective Disorder Research CentrePsychiatric Centre CopenhagenCopenhagen University HospitalRigshospitaletCopenhagenDenmark
| | - E Vieta
- Clinical Institute of NeuroscienceHospital ClinicUniversity of BarcelonaIDIBAPSCIBERSAMBarcelonaCataloniaSpain
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Varo C, Jimenez E, Solé B, Bonnín CM, Torrent C, Valls E, Morilla I, Lahera G, Martínez-Arán A, Vieta E, Reinares M. Social cognition in bipolar disorder: Focus on emotional intelligence. J Affect Disord 2017; 217:210-217. [PMID: 28427032 DOI: 10.1016/j.jad.2017.04.012] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2017] [Revised: 03/31/2017] [Accepted: 04/07/2017] [Indexed: 12/13/2022]
Abstract
BACKGROUND The present study aims to characterize emotional intelligence (EI) variability in a sample of euthymic bipolar disorder (BD) patients through the Mayer- Salovey-Caruso Emotional Intelligence Test (MSCEIT). METHOD A total of 134 euthymic BD outpatients were recruited and divided into three groups according to the total Emotional Intelligence Quotient (EIQ) score of the MSCEIT, following a statistical criterion of scores 1.5SDs above/below the normative group mean, as follows: a low performance (LP) group (EIQ <85), a normal performance (NP) group (85≤EIQ≤115), and a high performance (HP) group (EIQ >115). Afterwards, main sociodemographic, clinical, functional and neurocognitive variables were compared between the groups. RESULTS Three groups were identified: 1) LP group (n=16, 12%), 2) NP group (n=93, 69%) and 3) HP group (n=25, 19%). There were significant differences between the groups in premorbid intelligence quotient (IQ) (p=0.010), axis II comorbidity (p=0.008), subthreshold depressive symptoms (p=0.027), general functioning (p=0.013) and in four specific functional domains: autonomy, occupation, interpersonal relations and leisure time. Significant differences in neurocognitive performance were found between groups with the LP group showing the lowest attainments. LIMITATIONS The cross-sectional design of the study. CONCLUSION Our results suggest that EI variability among BD patients, assessed through MSCEIT, is lower than expected. EI could be associated with premorbid IQ, subthreshold depressive symptoms, neurocognitive performance and general functioning. The identification of different profiles of SC may help guide specific interventions for distinct patient subgroups aimed at improving social cognition, neurocognitive performance and psychosocial functioning.
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Affiliation(s)
- C Varo
- Bipolar Disorders Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - E Jimenez
- Bipolar Disorders Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - B Solé
- Bipolar Disorders Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - C M Bonnín
- Bipolar Disorders Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - C Torrent
- Bipolar Disorders Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - E Valls
- Bipolar Disorders Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - I Morilla
- Bipolar Disorders Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - G Lahera
- Faculty of Medicine, University of Alcalá, IRyCIS, CIBERSAM, Madrid, Spain
| | - A Martínez-Arán
- Bipolar Disorders Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - E Vieta
- Bipolar Disorders Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain.
| | - M Reinares
- Bipolar Disorders Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
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The Lausanne-Geneva cohort study of offspring of parents with mood disorders: methodology, findings, current sample characteristics, and perspectives. Soc Psychiatry Psychiatr Epidemiol 2017; 52:1041-1058. [PMID: 28396906 DOI: 10.1007/s00127-017-1382-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2016] [Accepted: 03/29/2017] [Indexed: 01/26/2023]
Abstract
PURPOSE Studies focusing on the offspring of affected parents utilize the well-established familial aggregation of mood disorders as a powerful tool for the identification of risk factors, early clinical manifestations, and prodromes of mood disorders in these offspring. The major goals of the Lausanne-Geneva mood cohort study are to: (1) assess the familial aggregation of bipolar and unipolar mood disorders; (2) prospectively identify risk factors for mood disorders as well as their early signs and prodromes; (3) identify their endophenotypes including cognitive features, alterations in brain structure, HPA-axis dysregulation, and abnormalities of the circadian rhythm of activity. METHODS Probands with bipolar disorders, major depressive disorder, and controls with at least one child aged from 4 to 17.9 years at study intake, their offspring, as well as their spouses are invited to take part in follow-up assessments at predetermined ages of the offspring. Direct semi-structured diagnostic interviews have been used for all participants. Probands, spouses, and adult offspring also undergo neurocognitive testing, anthropomorphic measures and biochemical exams, structural Magnetic Resonance Imaging, as well as objective assessments of physical activity using accelerometers in combination with ecological momentary assessments. RESULTS Currently, our study has up to seven follow-up assessments extending over a period of 20 years. There are 214 probands and 389 offspring with one direct interview before age 18 as well as a second assessment over follow-up. Data on 236 co-parents are also available from whom 55% have been directly interviewed. First publications support the specificity of the familial aggregation of BPD and the strong influence of an early onset of the parental BPD, which amplifies the risk of developing this disorder in offspring. CONCLUSIONS Information from clinical, biological, cognitive, and behavioral measures, based on contemporary knowledge, should further enhance our understanding of mood disorder psychopathology, its consequences, and underlying mechanisms.
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Van Rheenen TE, Lewandowski KE, Tan EJ, Ospina LH, Ongur D, Neill E, Gurvich C, Pantelis C, Malhotra AK, Rossell SL, Burdick KE. Characterizing cognitive heterogeneity on the schizophrenia-bipolar disorder spectrum. Psychol Med 2017; 47:1848-1864. [PMID: 28241891 DOI: 10.1017/s0033291717000307] [Citation(s) in RCA: 143] [Impact Index Per Article: 17.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
BACKGROUND Current group-average analysis suggests quantitative but not qualitative cognitive differences between schizophrenia (SZ) and bipolar disorder (BD). There is increasing recognition that cognitive within-group heterogeneity exists in both disorders, but it remains unclear as to whether between-group comparisons of performance in cognitive subgroups emerging from within each of these nosological categories uphold group-average findings. We addressed this by identifying cognitive subgroups in large samples of SZ and BD patients independently, and comparing their cognitive profiles. The utility of a cross-diagnostic clustering approach to understanding cognitive heterogeneity in these patients was also explored. METHOD Hierarchical clustering analyses were conducted using cognitive data from 1541 participants (SZ n = 564, BD n = 402, healthy control n = 575). RESULTS Three qualitatively and quantitatively similar clusters emerged within each clinical group: a severely impaired cluster, a mild-moderately impaired cluster and a relatively intact cognitive cluster. A cross-diagnostic clustering solution also resulted in three subgroups and was superior in reducing cognitive heterogeneity compared with disorder clustering independently. CONCLUSIONS Quantitative SZ-BD cognitive differences commonly seen using group averages did not hold when cognitive heterogeneity was factored into our sample. Members of each corresponding subgroup, irrespective of diagnosis, might be manifesting the outcome of differences in shared cognitive risk factors.
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Affiliation(s)
- T E Van Rheenen
- Melbourne Neuropsychiatry Centre,Department of Psychiatry,University of Melbourne and Melbourne Health,Carlton,VIC,Australia
| | - K E Lewandowski
- Schizophrenia and Bipolar Disorder Program,McLean Hospital,Belmont, MA,USA
| | - E J Tan
- Brain and Psychological Sciences Research Centre,Faculty of Health, Arts and Design,School of Health Sciences, Swinburne University,Hawthorn,VIC,Australia
| | - L H Ospina
- Icahn School of Medicine,Mount Sinai, NY,USA
| | - D Ongur
- Schizophrenia and Bipolar Disorder Program,McLean Hospital,Belmont, MA,USA
| | - E Neill
- Brain and Psychological Sciences Research Centre,Faculty of Health, Arts and Design,School of Health Sciences, Swinburne University,Hawthorn,VIC,Australia
| | - C Gurvich
- Cognitive Neuropsychiatry Laboratory,Monash Alfred Psychiatry Research Centre, The Alfred Hospital and Central Clinical School, Monash University,Melbourne,VIC,Australia
| | - C Pantelis
- Melbourne Neuropsychiatry Centre,Department of Psychiatry,University of Melbourne and Melbourne Health,Carlton,VIC,Australia
| | - A K Malhotra
- Hofstra Northwell School of Medicine,Hempstead, NY,USA
| | - S L Rossell
- Brain and Psychological Sciences Research Centre,Faculty of Health, Arts and Design,School of Health Sciences, Swinburne University,Hawthorn,VIC,Australia
| | - K E Burdick
- Icahn School of Medicine,Mount Sinai, NY,USA
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43
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Ishisaka N, Shimano S, Miura T, Motomura K, Horii M, Imanaga H, Kishimoto J, Kaneda Y, Sora I, Kanba S. Neurocognitive profile of euthymic Japanese patients with bipolar disorder. Psychiatry Clin Neurosci 2017; 71:373-382. [PMID: 28025861 DOI: 10.1111/pcn.12500] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/19/2016] [Revised: 11/17/2016] [Accepted: 12/19/2016] [Indexed: 12/01/2022]
Abstract
AIM Neurocognitive impairment is one of the core symptoms of bipolar disorder (BD). The MATRICS Cognitive Consensus Battery (MCCB) is a potential consensus assessment tool to evaluate cognitive function in patients with BD. Here, we report on cognitive deficits evaluated using the MCCB Japanese version (MCCB-J) in euthymic Japanese patients with BD, and compare them with scores in previous studies. METHODS We compared neurocognitive function in 25 patients with euthymic BD and 53 healthy controls (HC). Additionally, we searched all available databases for studies that have evaluated cognitive function in BD using the MCCB, and conducted a meta-analysis. RESULTS Canonical discriminant analysis revealed significant differences in MCCB-J domain scores between BD and HC. Patients with BD performed significantly worse on visual learning, social cognition, speed of processing, and MCCB composite scores. Our meta-analysis revealed that patients with BD performed worse than HC, as reflected by MCCB composite scores and scores on all seven cognitive domains. However, there are differences in the cognitive deficits identified in previous studies compared with our participants, particularly social cognition. CONCLUSION As reported in previous studies, neurocognitive deficits were observed in Japanese euthymic BD patients assessed using the MCCB-J. Further study is needed to clarify whether differences in social cognition between this study and previous studies are a result of coping mechanisms for social settings in Japanese populations.
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Affiliation(s)
- Nozomi Ishisaka
- Department of Neuropsychiatry, Kyushu University, Fukuoka, Japan
| | - Satomi Shimano
- Department of Neuropsychiatry, Kyushu University, Fukuoka, Japan
| | - Tomofumi Miura
- Department of Neuropsychiatry, Kyushu University, Fukuoka, Japan
| | - Keisuke Motomura
- Department of Neuropsychiatry, Kyushu University, Fukuoka, Japan
| | - Machiko Horii
- Department of Neuropsychiatry, Kyushu University, Fukuoka, Japan
| | - Hisako Imanaga
- Department of Neuropsychiatry, Kyushu University, Fukuoka, Japan
| | - Junji Kishimoto
- Department of Research and Development of Next Generation Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | | | - Ichiro Sora
- Department of Psychiatry, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Shigenobu Kanba
- Department of Neuropsychiatry, Kyushu University, Fukuoka, Japan
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Aparicio A, Santos JL, Jiménez-López E, Bagney A, Rodríguez-Jiménez R, Sánchez-Morla EM. Emotion processing and psychosocial functioning in euthymic bipolar disorder. Acta Psychiatr Scand 2017; 135:339-350. [PMID: 28188631 DOI: 10.1111/acps.12706] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/12/2017] [Indexed: 01/23/2023]
Abstract
OBJECTIVE To examine emotion processing in euthymic bipolar patients (EBP) compared to healthy controls. In addition, to determine whether or not there is an association between emotion processing and psychosocial functioning. MATERIAL AND METHODS A sample of 60 EBP and 60 healthy controls matched for age, gender, education level, and premorbid intelligence were studied. All subjects were assessed using the MATRICS Consensus Cognitive Battery (MCCB) and two additional executive function measures: the Trail Making Test-Part B and the Stroop Test. Emotion processing was examined using the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT). Psychosocial functioning was assessed using the Functional Assessment Short Test (FAST). RESULTS Euthymic bipolar patients obtained lower scores than controls in all MSCEIT measures except for the using emotions branch. Likewise, EBP obtained a worse performance than healthy controls in all neurocognitive domains. Correlation between MSCEIT strategic area measures and FAST total score was found (r = -0.311; P < 0.016). Regression analysis showed that residual depressive symptomatology explains a 9.1% of the variance in functional outcome. MSCEIT strategic area score explained an additional 8.6%. Neurocognition did not increase the percentage of the variance explained by emotion processing. CONCLUSIONS Euthymic bipolar patients exhibit deficits in emotion processing. Emotion processing is associated with social functioning in these patients.
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Affiliation(s)
- A Aparicio
- Departmentof Psychiatry, Hospital Virgen de La Luz, Cuenca, Spain.,Biomedical Research Networking Centre in Mental Health (CIBERSAM), Madrid, Spain
| | - J L Santos
- Departmentof Psychiatry, Hospital Virgen de La Luz, Cuenca, Spain.,Biomedical Research Networking Centre in Mental Health (CIBERSAM), Madrid, Spain
| | - E Jiménez-López
- Departmentof Psychiatry, Hospital Virgen de La Luz, Cuenca, Spain.,Biomedical Research Networking Centre in Mental Health (CIBERSAM), Madrid, Spain
| | - A Bagney
- Department of Psychiatry, Research Institute of Hospital 12 de Octubre (imas 12), Madrid, Spain
| | - R Rodríguez-Jiménez
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Madrid, Spain.,Department of Psychiatry, Research Institute of Hospital 12 de Octubre (imas 12), Madrid, Spain
| | - E M Sánchez-Morla
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Madrid, Spain.,Department of Medicine, School of Medicine, University of Alcalá, Madrid, Spain.,Department of Psychiatry, University Hospital of Guadalajara, Guadalajara, Spain
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Yatham LN, Mackala S, Basivireddy J, Ahn S, Walji N, Hu C, Lam RW, Torres IJ. Lurasidone versus treatment as usual for cognitive impairment in euthymic patients with bipolar I disorder: a randomised, open-label, pilot study. Lancet Psychiatry 2017; 4:208-217. [PMID: 28185899 DOI: 10.1016/s2215-0366(17)30046-9] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2016] [Revised: 12/07/2016] [Accepted: 12/08/2016] [Indexed: 01/12/2023]
Abstract
BACKGROUND Cognitive impairment is present in euthymic patients with bipolar disorder and correlates with impairments in everyday functioning. We aimed to examine the efficacy of lurasidone adjunctive therapy compared with treatment as usual (TAU) in improving cognition. METHODS For this randomised, open-label, pilot study, we recruited patients aged 19-65 years with euthymic bipolar I disorder from the Mood Disorder Centre in UBC Hospital (Vancouver, Canada). We included patients who were taking lithium, or valproate, or an atypical antipsychotic, or a combination of these for mood stabilisation and who showed reduced cognitive functioning (SD≤ -0·25 relative to demographics-corrected norms) on either the Trail Making Test-B or the California Verbal Learning Test-II. Patients were randomly assigned using a randomised block design with a block size of four to TAU or lurasidone adjunctive therapy (20-80 mg/day) for 6 weeks. A research coordinator masked to group allocation administered the International Society for Bipolar Disorders Battery for Assessment of Neurocognition (ISBD-BANC) at baseline and at endpoint. The primary outcome was change in global cognition score, which consisted of the mean demographics-corrected t-score value of the several ISBD-BANC measures, analysed in all patients who completed both tests. This trial is registered on ClinicalTrials.gov, number NCT02147379. FINDINGS Between July 2, 2014, and Oct 19, 2015, 34 patients were randomly allocated to lurasidone adjunctive therapy (17 patients) or TAU (17 patients). Two patients from each group did not complete the study. The mean lurasidone dose was 48·24 (SD 15·90) mg/day. Lurasidone adjunctive therapy was more effective than TAU in improving the primary efficacy measure of ISBD-BANC global cognition score (mean difference 2·92 [95% CI 0·27-5·57]; time × treatment interaction F=5·09; p=0·032). The between-group effect size (0·82) on baseline versus study-end difference scores in the ISBD global cognition score was of moderate to large magnitude. The magnitude of benefit with lurasidone adjunctive therapy in improving global cognition (effect size 0·46) was greater compared with the improvement observed in the TAU group (0·04). Adverse events were reported by nine (60%) patients in the luradisone group and two (13%) in the TAU group. INTERPRETATION Our results provide some preliminary evidence for the efficacy of lurasidone in improving cognition in euthymic patients with bipolar I disorder. The strengths of this study were the characterisation of the sample and use of tests sensitive to cognitive impairment in bipolar disorder. Its limitations were the sample size and inability to completely control for other medication use. Larger double-blind trials are warranted to investigate this further. FUNDING Sumitomo Dainippon Pharma.
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Affiliation(s)
- Lakshmi N Yatham
- Mood Disorders Centre of Excellence, University of British Columbia, Vancouver, BC, Canada.
| | - Sylvia Mackala
- Mood Disorders Centre of Excellence, University of British Columbia, Vancouver, BC, Canada
| | - Jayasree Basivireddy
- Mood Disorders Centre of Excellence, University of British Columbia, Vancouver, BC, Canada
| | - Sharon Ahn
- Mood Disorders Centre of Excellence, University of British Columbia, Vancouver, BC, Canada
| | - Nazlin Walji
- Mood Disorders Centre of Excellence, University of British Columbia, Vancouver, BC, Canada
| | - Chen Hu
- Mood Disorders Centre of Excellence, University of British Columbia, Vancouver, BC, Canada
| | - Raymond W Lam
- Mood Disorders Centre of Excellence, University of British Columbia, Vancouver, BC, Canada
| | - Ivan J Torres
- Mood Disorders Centre of Excellence, University of British Columbia, Vancouver, BC, Canada
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Miskowiak KW, Kjærstad HL, Meluken I, Petersen JZ, Maciel BR, Köhler CA, Vinberg M, Kessing LV, Carvalho AF. The search for neuroimaging and cognitive endophenotypes: A critical systematic review of studies involving unaffected first-degree relatives of individuals with bipolar disorder. Neurosci Biobehav Rev 2017; 73:1-22. [DOI: 10.1016/j.neubiorev.2016.12.011] [Citation(s) in RCA: 64] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2016] [Revised: 10/05/2016] [Accepted: 12/09/2016] [Indexed: 12/16/2022]
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Frajo-Apor B, Kemmler G, Pardeller S, Plass T, Mühlbacher M, Welte AS, Fleischhacker WW, Hofer A. Emotional intelligence and non-social cognition in schizophrenia and bipolar I disorder. Psychol Med 2017; 47:35-42. [PMID: 27640523 PMCID: PMC5744852 DOI: 10.1017/s0033291716002324] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
BACKGROUND The different patterns of Emotional Intelligence (EI) deficits in schizophrenia and bipolar I disorder are are not yet well understood. This study compares EI levels among these groups and highlights the potential impact of non-social cognition on EI. METHOD Fifty-eight schizophrenia and 60 bipolar outpatients were investigated using the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT) and the Brief Assessment of Cognition in Schizophrenia (BACS). Analyses of covariance were performed with adjustment for the BACS composite score. RESULTS Compared to bipolar subjects, schizophrenia patients showed significantly lower levels in both EI and non-social cognition. After adjustment for the BACS composite score, the difference in EI was lost. The mediation analysis revealed that differences between schizophrenia and bipolar patients in strategic EI are almost fully attributable to the mediating effect of non-social cognition. CONCLUSIONS Our findings suggest that in both schizophrenia and bipolar patients EI is strongly influenced by non-social cognitive functioning. This has to be taken into account when interpreting MSCEIT data in comparative studies in serious mental illness and emphasizes the importance of cognitive remediation.
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Affiliation(s)
- B. Frajo-Apor
- Department of Psychiatry, Psychotherapy and Psychosomatics, Medical University Innsbruck, Innsbruck, Austria
| | - G. Kemmler
- Department of Psychiatry, Psychotherapy and Psychosomatics, Medical University Innsbruck, Innsbruck, Austria
| | - S. Pardeller
- Department of Psychiatry, Psychotherapy and Psychosomatics, Medical University Innsbruck, Innsbruck, Austria
| | - T. Plass
- Department of Psychiatry and Psychotherapy, Paracelsus Medical University, Salzburg, Austria
| | - M. Mühlbacher
- Department of Psychiatry and Psychotherapy, Paracelsus Medical University, Salzburg, Austria
| | - A.-S. Welte
- Department of Psychiatry, Psychotherapy and Psychosomatics, Medical University Innsbruck, Innsbruck, Austria
| | - W. W. Fleischhacker
- Department of Psychiatry, Psychotherapy and Psychosomatics, Medical University Innsbruck, Innsbruck, Austria
| | - A. Hofer
- Department of Psychiatry, Psychotherapy and Psychosomatics, Medical University Innsbruck, Innsbruck, Austria
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Bo Q, Mao Z, Li X, Wang Z, Wang C, Ma X. Use of the MATRICS consensus cognitive battery (MCCB) to evaluate cognitive deficits in bipolar disorder: A systematic review and meta-analysis. PLoS One 2017; 12:e0176212. [PMID: 28437438 PMCID: PMC5402962 DOI: 10.1371/journal.pone.0176212] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2016] [Accepted: 03/20/2017] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND The Measurement and Treatment Research to Improve Cognition Schizophrenia Consensus Cognitive Battery (MCCB) has also been proposed for use in clinical trials to assess cognitive deficits in patients with bipolar disorder (BD). The aim of this study was to evaluate cognitive function assessed by the MCCB in BD. METHODS A literature search of the PubMed, Embase, PsycINFO, SCI, Cochrane Library databases and the Cochrane Controlled Trials Register was conducted. Case reports, reviews and meta-analyses were excluded and a systematic review of the remaining studies of cognitive function in BD was carried out. The cognitive outcome measure was the MCCB, including 7 domains and overall cognition. A random-effects model was applied. RESULTS Eighty eight studies were initially identified. Seven clinical studies comprising a total of 487 patients and 570 healthy controls (HC) were included in the meta-analysis. Patients with BD performed worse than HC in overall cognition and processing speed with a large effect size of >0.8; with a medium effect size (0.5-0.8) in attention, working memory, verbal learning and visual learning; and with a small effect size (0.2-0.5) in reasoning and problem solving and social cognition. CONCLUSION Patients with BD performed worse than HC in overall cognition and all cognitive domains of the MCCB. Cognitive deficits in domains of processing speed and working memory are prominent in patients with BD. Our findings suggest that MCCB can be usefully applied in BD.
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Affiliation(s)
- Qijing Bo
- Beijing Key Laboratory of Mental Disorders, Department of Psychiatry, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Center of Schizophrenia, Beijing Institute for Brain Disorders, Laboratory of Brain Disorders (Capital Medical University), Ministry of Science and Technology, Beijing, China
| | - Zhen Mao
- Beijing Key Laboratory of Mental Disorders, Department of Psychiatry, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Center of Schizophrenia, Beijing Institute for Brain Disorders, Laboratory of Brain Disorders (Capital Medical University), Ministry of Science and Technology, Beijing, China
| | - Xianbin Li
- Beijing Key Laboratory of Mental Disorders, Department of Psychiatry, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Center of Schizophrenia, Beijing Institute for Brain Disorders, Laboratory of Brain Disorders (Capital Medical University), Ministry of Science and Technology, Beijing, China
| | - Zhimin Wang
- Beijing Key Laboratory of Mental Disorders, Department of Psychiatry, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Center of Schizophrenia, Beijing Institute for Brain Disorders, Laboratory of Brain Disorders (Capital Medical University), Ministry of Science and Technology, Beijing, China
| | - Chuanyue Wang
- Beijing Key Laboratory of Mental Disorders, Department of Psychiatry, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Center of Schizophrenia, Beijing Institute for Brain Disorders, Laboratory of Brain Disorders (Capital Medical University), Ministry of Science and Technology, Beijing, China
| | - Xin Ma
- Beijing Key Laboratory of Mental Disorders, Department of Psychiatry, Beijing Anding Hospital, Capital Medical University, Beijing, China
- * E-mail:
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Prevalence and correlates of cognitive impairment in euthymic adults with bipolar disorder: A systematic review. J Affect Disord 2016; 205:165-181. [PMID: 27449549 DOI: 10.1016/j.jad.2016.06.063] [Citation(s) in RCA: 155] [Impact Index Per Article: 17.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2016] [Revised: 06/20/2016] [Accepted: 06/26/2016] [Indexed: 11/21/2022]
Abstract
BACKGROUND Previous reviews have identified medium-large group differences in cognitive performance in adults with bipolar disorder (BD) compared to healthy peers, but the proportion with clinically relevant cognitive impairment has not yet been established. This review aimed to quantify the prevalence of cognitive impairment in euthymic adults with BD, and to describe sociodemographic, clinical and other factors that are significantly associated with cognitive impairment. METHODS Systematic literature review. The population was euthymic community-dwelling adults with BD, aged 18-70 years, and recruited consecutively or randomly. The outcome was cognitive impairment, relative to healthy population norms. Electronic databases and reference lists of relevant articles were searched, and authors were contacted. Original cross-sectional studies published in peer-reviewed English-language journals from January 1994 to February 2015 were included. Methodological bias and reporting bias were assessed using standard tools. A narrative synthesis is presented together with tables and forest plots. RESULTS Thirty articles were included, of which 15 contributed prevalence data. At the 5th percentile impairment threshold, prevalence ranges were: executive function 5.3-57.7%; attention/working memory 9.6-51.9%; speed/reaction time 23.3-44.2%; verbal memory 8.2-42.1%; visual memory 11.5-32.9%. More severe or longstanding illness and antipsychotic medication were associated with greater cognitive impairment. LIMITATIONS The synthesis was limited by heterogeneity in cognitive measures and impairment thresholds, precluding meta-analysis. CONCLUSIONS Cognitive impairment affects a substantial proportion of euthymic adults with BD. Future research with more consistent measurement and reporting will facilitate an improved understanding of cognitive impairment burden in BD.
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Significantly improved neurocognitive function in major depressive disorders 6 weeks after ECT. J Affect Disord 2016; 202:10-5. [PMID: 27253211 DOI: 10.1016/j.jad.2016.03.062] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2015] [Revised: 02/02/2016] [Accepted: 03/12/2016] [Indexed: 11/20/2022]
Abstract
BACKGROUND Cognitive side effects may occur after electroconvulsive treatment (ECT) in depressive disorder patients. Previous studies have been limited by small numbers of cognitive functions assessed. The present study reports the first results from a prospective project monitoring cognitive effects of ECT using a comprehensive neuropsychological test battery and subjective report of everyday cognitive function. METHODS Thirty-one patients with major depressive disorder were assessed with the MATRICS Consensus Cognitive Battery (MCCB). Subjective cognitive complaints were described with the Everyday Memory Questionnaire (EMQ). Severity of depression symptoms were assessed with the Montgomery-Åsberg Depression Rating Scale (MADRS). These assessments were performed prior to and 6 weeks after non-standardized ECT. RESULTS Compared to baseline, the mean depression severity level was nearly halved and there were significant improvements in mean levels of Speed of Processing, Attention/Vigilance, and Visual Learning 6 weeks after ECT. The other cognitive domains were not altered from baseline. There was no significant change in subjective cognitive complaints. At baseline, there were several significant correlations between the MADRS and MCCB scores. There was no strong association between the EMQ and MCCB scores at either assessment point, but the post-ECT EMQ score was significantly correlated with depression severity. LIMITATIONS Major limitations were low N and lack of uniform ECT procedure. CONCLUSIONS There was significant improvement in Speed of Processing, Attention/Vigilance, and Visual Learning 6 weeks after ECT. Cognitive tests scores were related to severity of depression, but not to subjective memory complaints.
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