1
|
Wang Y, Zhou Y, Li G, Qin P, Wang J, Qi L, Li L, Wang Y, Wang J, Li J, Liang Z, Zhou Y. Executive functions in non-suicidal self-injury comorbid first-episode and drug-naïve depression among adolescents. Psychiatry Res 2023; 328:115476. [PMID: 37708804 DOI: 10.1016/j.psychres.2023.115476] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Revised: 09/07/2023] [Accepted: 09/09/2023] [Indexed: 09/16/2023]
Abstract
Executive functions(EFs) may be associated with the emergence of non-suicidal self-injury(NSSI) due to their role as behavior controllers. EFs includes three core cognitive processes: inhibitory control, working memory, and cognitive flexibility(i.e. the ability to selectively alter cognitive strategies to generate appropriate behavior in the changing environment). This study aimed to systematically explore the three core EFs in depressed adolescents with NSSI. The data was obtained from the baseline data of the Chinese adolescent depression Cohort. The adolescents underwent cognitive assessments to yield domain-specific scores in EFs using the Digit Span Backward test(DSB), the Stroop Color-word interference test- color-word condition(Stroop-CW), and the Wisconsin Card Sorting tests(WCST). The significant differences in WCST scores were found between the NSSI group and the non-NSSI group. NSSI frequency was moderately positively correlated with total errors and negatively correlated with the number of categories completed. The number of categories completed in the "≥200″ NSSI frequency group was significantly lower than that in the "≤10″ NSSI group. The current findings suggested that depressed adolescents who had engaged in NSSI have poorer cognitive flexibility performance compared to adolescents without NSSI. As the frequency of NSSI increased, cognitive flexibility might become worse. These results provide evidence of a connection between executive dysfunctions and NSSI in depressed adolescents.
Collapse
Affiliation(s)
- Yanni Wang
- School of Public Health, Lanzhou University, Lanzhou, China
| | - Yue Zhou
- School of Public Health, Lanzhou University, Lanzhou, China
| | - Guohua Li
- Shenzhen Mental Health Center, Shenzhen Kangning Hospital, Shenzhen, China
| | - Peiwu Qin
- Tsinghua Shenzhen international graduate school, Shenzhen, China
| | - Jiesi Wang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Ling Qi
- School of Health Science and Nursing, Wuhan Polytechnic University, Wuhan, China
| | - Linling Li
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Guangdong Provincial Key Laboratory of Biomedical Measurements and Ultrasound Imaging Shenzhen, China
| | - Yang Wang
- College of Management, Shenzhen University, Shenzhen, China
| | - Jianhong Wang
- Shenzhen Mental Health Center, Shenzhen Kangning Hospital, Shenzhen, China
| | - Junchang Li
- Shenzhen Mental Health Center, Shenzhen Kangning Hospital, Shenzhen, China
| | - Zhen Liang
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Guangdong Provincial Key Laboratory of Biomedical Measurements and Ultrasound Imaging Shenzhen, China
| | - Yongjie Zhou
- Shenzhen Mental Health Center, Shenzhen Kangning Hospital, Shenzhen, China.
| |
Collapse
|
2
|
Chakrabarty T, Frangou S, Torres IJ, Ge R, Yatham LN. Brain age and cognitive functioning in first-episode bipolar disorder. Psychol Med 2023; 53:5127-5135. [PMID: 35875930 PMCID: PMC10476063 DOI: 10.1017/s0033291722002136] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Revised: 06/20/2022] [Accepted: 06/21/2022] [Indexed: 11/07/2022]
Abstract
BACKGROUND There is significant heterogeneity in cognitive function in patients with bipolar I disorder (BDI); however, there is a dearth of research into biological mechanisms that might underlie cognitive heterogeneity, especially at disease onset. To this end, this study investigated the association between accelerated or delayed age-related brain structural changes and cognition in early-stage BDI. METHODS First episode patients with BDI (n = 80) underwent cognitive assessment to yield demographically normed composite global and domain-specific scores in verbal memory, non-verbal memory, working memory, processing speed, attention, and executive functioning. Structural magnetic resonance imaging data were also collected from all participants and subjected to machine learning to compute the brain-predicted age difference (brainPAD), calculated by subtracting chronological age from age predicted by neuroimaging data (positive brainPAD values indicating age-related acceleration in brain structural changes and negative values indicating delay). Patients were divided into tertiles based on brainPAD values, and cognitive performance compared amongst tertiles with ANCOVA. RESULTS Patients in the lowest (delayed) tertile of brainPAD values (brainPAD range -17.9 to -6.5 years) had significantly lower global cognitive scores (p = 0.025) compared to patients in the age-congruent tertile (brainPAD range -5.3 to 2.4 yrs), and significantly lower verbal memory scores (p = 0.001) compared to the age-congruent and accelerated (brainPAD range 2.8 to 16.1 yrs) tertiles. CONCLUSION These results provide evidence linking cognitive dysfunction in the early stage of BDI to apparent delay in typical age-related brain changes. Further studies are required to assess how age-related brain changes and cognitive functioning evolve over time.
Collapse
Affiliation(s)
- Trisha Chakrabarty
- Department of Psychiatry, University of British Columbia, 2255 Wesbrook Mall, Vancouver, BC, Canada V6T 2A1
| | - Sophia Frangou
- Department of Psychiatry, University of British Columbia, 2255 Wesbrook Mall, Vancouver, BC, Canada V6T 2A1
- Department of Psychiatry Icahn School of Medicine at Mount Sinai, New York City, NY, United States
| | - Ivan J. Torres
- British Columbia Mental Health and Substance Use Services, Vancouver, BC, Canada
| | - Ruiyang Ge
- Department of Psychiatry, University of British Columbia, 2255 Wesbrook Mall, Vancouver, BC, Canada V6T 2A1
| | - Lakshmi N. Yatham
- Department of Psychiatry, University of British Columbia, 2255 Wesbrook Mall, Vancouver, BC, Canada V6T 2A1
| |
Collapse
|
3
|
de la Serna E, Montejo L, Solé B, Castro-Fornieles J, Camprodon-Boadas P, Sugranyes G, Rosa-Justicia M, Martinez-Aran A, Vieta E, Vicent-Gil M, Serra-Blasco M, Cardoner N, Torrent C. Effectiveness of enhancing cognitive reserve in children, adolescents and young adults at genetic risk for psychosis: Study protocol for a randomized controlled trial. SPANISH JOURNAL OF PSYCHIATRY AND MENTAL HEALTH 2023; 16:184-191. [PMID: 33631372 DOI: 10.1016/j.rpsm.2021.02.003] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/12/2020] [Revised: 02/01/2021] [Accepted: 02/13/2021] [Indexed: 12/30/2022]
Abstract
BACKGROUND Offspring of patients diagnosed with bipolar disorder and schizophrenia (Off-BDSZ) have a high genetic risk of developing a mental illness. The aim of this project is to develop and investigate the efficacy of an intervention aimed at this population, based on the concept of cognitive reserve. METHODS This is a multicenter randomized trial with an experimental test-retest design study with control group. Two groups will be included: a community comparison group (CC) and a Off-BDSZ group. A total of 108 Off-BDSZ and 65 CC aged between 6 and 25 years will be recruited. Off-BDSZ participants will be randomized to receive either Cognitive Reserve EnhAncement ThErapy (CREATE) (n=54), or a supportive approach (n=54). The CC group will be assessed at baseline. The duration of the intervention will be 3 months, with 12 weekly group sessions. The primary outcome will be the improvement in CR measured according to change in the Cognitive Reserve Assessment Scale in Health (CRASH) and Cognitive Reserve scale for Adolescents (CORE-A). All participants will be blindly evaluated using clinical, cognitive and neuroimaging measures at baseline, at three months (after the psychological intervention), and at twelve-month follow-up after treatment completion. DISCUSSION The results will provide insight into whether the CREATE-Offspring version may enhance cognitive reserve (CR) in child, adolescent and young adult Off-BDSZ as well as advance knowledge about changes in clinical manifestations, neuropsychological performance and brain structure and function associated with improving CR. This novel and cost-effective intervention represents an advance in the framework of preventive interventions in mental health. TRIAL REGISTRATION Clinicaltrials.gov, NCT03722082. Registered on 26 October 2018.
Collapse
Affiliation(s)
- Elena de la Serna
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain; Department of Child and Adolescent Psychiatry and Psychology, Hospital Clinic of Barcelona 2017SGR881, Institut Clinic de Neurociències, IDIBAPS, CIBERSAM, University of Barcelona, Barcelona, Spain
| | - Laura Montejo
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain; Barcelona Bipolar and Depressive Unit, Hospital Clinic of Barcelona, Institute of Neurosciences, University of Barcelona, IDIBAPS, Barcelona, Spain
| | - Brisa Solé
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain; Barcelona Bipolar and Depressive Unit, Hospital Clinic of Barcelona, Institute of Neurosciences, University of Barcelona, IDIBAPS, Barcelona, Spain
| | - Josefina Castro-Fornieles
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain; Department of Child and Adolescent Psychiatry and Psychology, Hospital Clinic of Barcelona 2017SGR881, Institut Clinic de Neurociències, IDIBAPS, CIBERSAM, University of Barcelona, Barcelona, Spain.
| | - Patricia Camprodon-Boadas
- Department of Child and Adolescent Psychiatry and Psychology, Hospital Clinic of Barcelona 2017SGR881, Institut Clinic de Neurociències, IDIBAPS, CIBERSAM, University of Barcelona, Barcelona, Spain
| | - Gisela Sugranyes
- Department of Child and Adolescent Psychiatry and Psychology, Hospital Clinic of Barcelona 2017SGR881, Institut Clinic de Neurociències, IDIBAPS, CIBERSAM, University of Barcelona, Barcelona, Spain
| | - Mireia Rosa-Justicia
- Department of Child and Adolescent Psychiatry and Psychology, Hospital Clinic of Barcelona 2017SGR881, Institut Clinic de Neurociències, IDIBAPS, CIBERSAM, University of Barcelona, Barcelona, Spain
| | - Anabel Martinez-Aran
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain; Barcelona Bipolar and Depressive Unit, Hospital Clinic of Barcelona, Institute of Neurosciences, University of Barcelona, IDIBAPS, Barcelona, Spain
| | - Eduard Vieta
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain; Barcelona Bipolar and Depressive Unit, Hospital Clinic of Barcelona, Institute of Neurosciences, University of Barcelona, IDIBAPS, Barcelona, Spain.
| | - Muriel Vicent-Gil
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain; Depression and Anxiety Program, Institut d'Investigació i Innovació Parc Taulí, Universitat Autònoma de Barcelona (UAB), CIBERSAM, Hospital Universitari Parc Taulí, Sabadell, Barcelona, Spain
| | - Maria Serra-Blasco
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain; Depression and Anxiety Program, Institut d'Investigació i Innovació Parc Taulí, Universitat Autònoma de Barcelona (UAB), CIBERSAM, Hospital Universitari Parc Taulí, Sabadell, Barcelona, Spain
| | - Narcís Cardoner
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain; Depression and Anxiety Program, Institut d'Investigació i Innovació Parc Taulí, Universitat Autònoma de Barcelona (UAB), CIBERSAM, Hospital Universitari Parc Taulí, Sabadell, Barcelona, Spain
| | - Carla Torrent
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain; Barcelona Bipolar and Depressive Unit, Hospital Clinic of Barcelona, Institute of Neurosciences, University of Barcelona, IDIBAPS, Barcelona, Spain
| |
Collapse
|
4
|
Bora E, Verim B, Akgul O, Ildız A, Ceylan D, Alptekin K, Özerdem A, Akdede BB. Clinical and developmental characteristics of cognitive subgroups in a transdiagnostic sample of schizophrenia spectrum disorders and bipolar disorder. Eur Neuropsychopharmacol 2023; 68:47-56. [PMID: 36640733 DOI: 10.1016/j.euroneuro.2022.12.005] [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: 08/24/2022] [Revised: 12/18/2022] [Accepted: 12/20/2022] [Indexed: 01/15/2023]
Abstract
Evidence suggests that neurocognitive dysfunction is a transdiagnostic feature of individuals across the continuum between schizophrenia and bipolar disorder. However, there is significant heterogeneity of neuropsychological and social-cognitive abilities in schizophrenia, schizoaffective disorder, and bipolar disorder. The current study aimed to investigate the clinical and developmental characteristics of cognitive subgroups within the schizo-bipolar spectrum. 147 clinically stable patients with schizophrenia, schizoaffective or bipolar disorder were assessed using clinical rating scales for current psychotic and affective symptoms, and a comprehensive neuropsychological battery including measures of social cognition (Hinting and Reading the mind from the Eyes (RMET) task)). Developmental history and premorbid academic functioning were also evaluated. The study also included 36 healthy controls. Neurocognitive subgroups were investigated using latent class analysis (LCA). The optimal number of clusters was determined based on the Bayesian information criterion. A logistic regression analysis was conducted to investigate the predictors of membership to the globally impaired subgroup. LCA revealed two neurocognitive clusters including globally impaired (n = 89, 60.5%) and near-normal cognitive functioning (n = 58, 39.5%) subgroups. The near-normal cognitive functioning subgroup was not significantly different from healthy controls. The globally impaired subgroup had a higher score of developmental abnormalities (p<0.001), poorer premorbid academic functioning, mothers who were less educated and more severe disorganized speech (p = 0.001) and negative symptoms (p = 0.004) compared to the near-normal cognitive functioning group. History of developmental abnormalities and persistent disorganization rather than diagnosis are significant predictors of the subgroup of individuals with global cognitive impairment in the schizophrenia-bipolar disorder continuum.
Collapse
Affiliation(s)
- Emre Bora
- Department of Psychiatry, Faculty of Medicine, Izmir, Turkey; Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Carlton South, Victoria 3053, Australia; Department of Neurosciences, Health Sciences Institute, Dokuz Eylül University, Izmir, Turkey.
| | - Burcu Verim
- Department of Neurosciences, Health Sciences Institute, Dokuz Eylül University, Izmir, Turkey
| | - Ozge Akgul
- Department of Psychology, İzmir Demokrasi University, İzmir, Turkey
| | - Ayşegül Ildız
- Department of Neurosciences, Health Sciences Institute, Dokuz Eylül University, Izmir, Turkey
| | - Deniz Ceylan
- Department of Psychiatry and Psychology, Koc University, Istanbul, Turkey
| | - Köksal Alptekin
- Department of Psychiatry, Faculty of Medicine, Izmir, Turkey; Department of Neurosciences, Health Sciences Institute, Dokuz Eylül University, Izmir, Turkey
| | - Ayşegül Özerdem
- Department of Psychiatry and Psychology, Mayo Clinic Depression Center, Mayo Clinic, Rochester, MN, USA
| | - Berna Binnur Akdede
- Department of Psychiatry, Faculty of Medicine, Izmir, Turkey; Department of Neurosciences, Health Sciences Institute, Dokuz Eylül University, Izmir, Turkey
| |
Collapse
|
5
|
Yilmaz S, Öner P. Low α-N-acetylgalactosaminidase plasma concentration correlates with the presence and severity of the bipolar affective disorder. World J Biol Psychiatry 2023; 24:187-194. [PMID: 36102137 DOI: 10.1080/15622975.2022.2124451] [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: 10/14/2022]
Abstract
OBJECTIVES Believing that a neurodevelopmental pathology may cause bipolar affective disorder (BAD), we aimed to measure the concentrations of α-N-acetylgalactosaminidase (α-NAGAL), a lysosomal enzyme. METHODS The study included 32 patients with BAD and 32 healthy controls. The Young Mania Rating Scale was used to measure the severity of the disease. Serum α-N-acetylgalactosaminidase concentrations were measured in all blood samples using the human α-N-acetylgalactosaminidase ELISA Kit. RESULTS A statistically significant difference was found in the α-NAGAL values between the groups. The mean α-NAGAL values of BAD patients are lower than the mean α-NAGAL values of the control group. A strong negative and statistically significant relationship was found between the α-NAGAL values of patients with BAD and their Young Mania Rating Scale scores. And a positive strong correlation was found between the age of onset of the disease and α-NAGAL levels. CONCLUSIONS Low α-N-acetylgalactosaminidase concentrations may cause the accumulation of some glycoproteins in the lysosomes in the brain during the gestational period, producing the clinical symptoms of BAD. α-N-acetylgalactosaminidase deficiency may not be the only cause of BAD, but it may be an important factor in the aetiology of this disease.
Collapse
Affiliation(s)
| | - Pınar Öner
- Elaziğ Fethi Sekin City Hospital, Elaziğ, Turkey
| |
Collapse
|
6
|
Bora E. Minor physical anomalies in bipolar disorder in comparison to healthy controls and schizophrenia: A systematic review and meta-analysis. Eur Neuropsychopharmacol 2022; 65:4-11. [PMID: 36150369 DOI: 10.1016/j.euroneuro.2022.08.007] [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: 07/20/2022] [Revised: 08/23/2022] [Accepted: 08/25/2022] [Indexed: 12/01/2022]
Abstract
Minor physical anomalies (MPAs) are markers of abnormalities in early foetal development and are well established findings in schizophrenia. It has been suggested that neurodevelopmental abnormalities might play a role not only in schizophrenia but also in bipolar disorder (BD). Therefore, according to neurodevelopmental theory of BD, one might expect increased prevalence of MPAs in BD. A meta-analysis of 11 studies was conducted to quantitatively review MPAs in BD in comparison to schizophrenia and healthy controls. The current meta-analysis compared MPA scores of 584 BD patients and 723 healthy controls, and 401 BD and 612 schizophrenia patients. Patients with BD had significantly higher MPA scores than healthy controls (g=0.47, CI=0.28-0.67). This was true both for craniofacial (g=0.57, CI=0.34-0.79) and periphery (g=0.46, CI=0.18-0.73) MPAs. BD was associated with a less severe increase in MPA score compared to schizophrenia, however, between-group difference was small (g=0.19, CI=0.05-0.33). The outcome of this meta-analysis suggests that BD is associated with medium effect size increase in MPAs which is only minimally less severe than schizophrenia. This finding supports the hypothesis that early developmental insult in brain development plays a role not only in schizophrenia but also BD. Studies investigating clinical, neurocognitive, neuroanatomical and other biological correlates of MPAs in BD might helpful in characterizing subtype (s) of BD that is associated with pronounced deviations in brain development.
Collapse
Affiliation(s)
- Emre Bora
- Dokuz Eylül University, Faculty of Medicine, Department of Psychiatry, Mithatpaşa cad. no 1606 inciraltı, yerleşkesi, Balçova, Izmir 35340, Turkey; Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Carlton South, Victoria 3053, Australia; Dokuz Eylul University, Health Sciences Institute, Department of Neurosciences, Izmir, Turkey.
| |
Collapse
|
7
|
Rootes-Murdy K, Edmond JT, Jiang W, Rahaman MA, Chen J, Perrone-Bizzozero NI, Calhoun VD, van Erp TGM, Ehrlich S, Agartz I, Jönsson EG, Andreassen OA, Westlye LT, Wang L, Pearlson GD, Glahn DC, Hong E, Buchanan RW, Kochunov P, Voineskos A, Malhotra A, Tamminga CA, Liu J, Turner JA. Clinical and cortical similarities identified between bipolar disorder I and schizophrenia: A multivariate approach. Front Hum Neurosci 2022; 16:1001692. [PMID: 36438633 PMCID: PMC9684186 DOI: 10.3389/fnhum.2022.1001692] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2022] [Accepted: 10/17/2022] [Indexed: 01/06/2024] Open
Abstract
BACKGROUND Structural neuroimaging studies have identified similarities in the brains of individuals diagnosed with schizophrenia (SZ) and bipolar I disorder (BP), with overlap in regions of gray matter (GM) deficits between the two disorders. Recent studies have also shown that the symptom phenotypes associated with SZ and BP may allow for a more precise categorization than the current diagnostic criteria. In this study, we sought to identify GM alterations that were unique to each disorder and whether those alterations were also related to unique symptom profiles. MATERIALS AND METHODS We analyzed the GM patterns and clinical symptom presentations using independent component analysis (ICA), hierarchical clustering, and n-way biclustering in a large (N ∼ 3,000), merged dataset of neuroimaging data from healthy volunteers (HV), and individuals with either SZ or BP. RESULTS Component A showed a SZ and BP < HV GM pattern in the bilateral insula and cingulate gyrus. Component B showed a SZ and BP < HV GM pattern in the cerebellum and vermis. There were no significant differences between diagnostic groups in these components. Component C showed a SZ < HV and BP GM pattern bilaterally in the temporal poles. Hierarchical clustering of the PANSS scores and the ICA components did not yield new subgroups. N-way biclustering identified three unique subgroups of individuals within the sample that mapped onto different combinations of ICA components and symptom profiles categorized by the PANSS but no distinct diagnostic group differences. CONCLUSION These multivariate results show that diagnostic boundaries are not clearly related to structural differences or distinct symptom profiles. Our findings add support that (1) BP tend to have less severe symptom profiles when compared to SZ on the PANSS without a clear distinction, and (2) all the gray matter alterations follow the pattern of SZ < BP < HV without a clear distinction between SZ and BP.
Collapse
Affiliation(s)
- Kelly Rootes-Murdy
- Department of Psychology, Georgia State University, Atlanta, GA, United States
- Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia Institute of Technology, Georgia State University, Emory University, Atlanta, GA, United States
| | - Jesse T. Edmond
- Department of Psychology, Georgia State University, Atlanta, GA, United States
- Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia Institute of Technology, Georgia State University, Emory University, Atlanta, GA, United States
| | - Wenhao Jiang
- Department of Psychosomatics and Psychiatry, Medical School, Zhongda Hospital, Institute of Psychosomatics, Southeast University, Nanjing, China
| | - Md A. Rahaman
- Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia Institute of Technology, Georgia State University, Emory University, Atlanta, GA, United States
| | - Jiayu Chen
- Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia Institute of Technology, Georgia State University, Emory University, Atlanta, GA, United States
| | | | - Vince D. Calhoun
- Department of Psychology, Georgia State University, Atlanta, GA, United States
- Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia Institute of Technology, Georgia State University, Emory University, Atlanta, GA, United States
| | - Theo G. M. van Erp
- Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human Behavior, University of California, Irvine, Irvine, CA, United States
- Center for the Neurobiology of Learning and Memory, University of California, Irvine, Irvine, CA, United States
| | - Stefan Ehrlich
- Division of Psychological and Social Medicine and Developmental Neurosciences, Faculty of Medicine, TU Dresden, Dresden, Germany
| | - Ingrid Agartz
- Division of Mental Health and Addiction, Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, Oslo University Hospital, University of Oslo, Oslo, Norway
- Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institute and Stockholm Health Care Services, Stockholm, Sweden
- K. G. Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
| | - Erik G. Jönsson
- Division of Mental Health and Addiction, Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, Oslo University Hospital, University of Oslo, Oslo, Norway
- Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institute and Stockholm Health Care Services, Stockholm, Sweden
| | - Ole A. Andreassen
- Division of Mental Health and Addiction, Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, Oslo University Hospital, University of Oslo, Oslo, Norway
- K. G. Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway
| | - Lars T. Westlye
- Division of Mental Health and Addiction, Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, Oslo University Hospital, University of Oslo, Oslo, Norway
- K. G. Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Lei Wang
- Psychiatry and Behavioral Health, Ohio State Wexner Medical Center, Columbus, OH, United States
| | - Godfrey D. Pearlson
- Department of Psychiatry, Yale University, New Haven, CT, United States
- Olin Neuropsychiatry Research Center, Institute of Living, Hartford Hospital, Hartford, CT, United States
| | - David C. Glahn
- Olin Neuropsychiatry Research Center, Institute of Living, Hartford Hospital, Hartford, CT, United States
- Boston Children’s Hospital and Harvard Medical School, Boston, MA, United States
| | - Elliot Hong
- Department of Psychiatry, Maryland Psychiatric Research Center, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Robert W. Buchanan
- Department of Psychiatry, Maryland Psychiatric Research Center, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Peter Kochunov
- Department of Psychiatry, Maryland Psychiatric Research Center, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Aristotle Voineskos
- Department of Psychiatry, Centre for Addiction and Mental Health, University of Toronto, Toronto, ON, Canada
| | - Anil Malhotra
- Division of Psychiatry Research, Zucker Hillside Hospital, Queens, NY, United States
| | - Carol A. Tamminga
- Department of Psychiatry, University of Texas Southwestern Medical School, Dallas, TX, United States
| | - Jingyu Liu
- Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia Institute of Technology, Georgia State University, Emory University, Atlanta, GA, United States
| | - Jessica A. Turner
- Psychiatry and Behavioral Health, Ohio State Wexner Medical Center, Columbus, OH, United States
| |
Collapse
|
8
|
Chang Z, Wang X, Wu Y, Lin P, Wang R. Segregation, integration and balance in resting-state brain functional networks associated with bipolar disorder symptoms. Hum Brain Mapp 2022; 44:599-611. [PMID: 36161679 PMCID: PMC9842930 DOI: 10.1002/hbm.26087] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Revised: 08/19/2022] [Accepted: 09/02/2022] [Indexed: 01/25/2023] Open
Abstract
Bipolar disorder (BD) is a serious mental disorder involving widespread abnormal interactions between brain regions, and it is believed to be associated with imbalanced functions in the brain. However, how this brain imbalance underlies distinct BD symptoms remains poorly understood. Here, we used a nested-spectral partition (NSP) method to study the segregation, integration, and balance in resting-state brain functional networks in BD patients and healthy controls (HCs). We first confirmed that there was a high deviation in the brain functional network toward more segregation in BD patients than in HCs and that the limbic system had the largest alteration. Second, we demonstrated a network balance of segregation and integration that corresponded to lower anxiety in BD patients but was not related to other symptoms. Subsequently, based on a machine-learning approach, we identified different system-level mechanisms underlying distinct BD symptoms and found that the features related to the brain network balance could predict BD symptoms better than graph theory analyses. Finally, we studied attention-deficit/hyperactivity disorder (ADHD) symptoms in BD patients and identified specific patterns that distinctly predicted ADHD and BD scores, as well as their shared common domains. Our findings supported an association of brain imbalance with anxiety symptom in BD patients and provided a potential network signature for diagnosing BD. These results contribute to further understanding the neuropathology of BD and to screening ADHD in BD patients.
Collapse
Affiliation(s)
- Zhao Chang
- College of ScienceXi'an University of Science and TechnologyXi'anChina
| | - Xinrui Wang
- College of ScienceXi'an University of Science and TechnologyXi'anChina
| | - Ying Wu
- State Key Laboratory for Strength and Vibration of Mechanical StructuresSchool of Aerospace Engineering, Xi'an Jiaotong UniversityXi'anChina,National Demonstration Center for Experimental Mechanics EducationXi'an Jiaotong UniversityXi'anChina
| | - Pan Lin
- Center for Mind & Brain Sciences and Cognition and Human Behavior Key Laboratory of Hunan ProvinceHunan Normal UniversityChangshaHunanChina
| | - Rong Wang
- College of ScienceXi'an University of Science and TechnologyXi'anChina,State Key Laboratory for Strength and Vibration of Mechanical StructuresSchool of Aerospace Engineering, Xi'an Jiaotong UniversityXi'anChina,National Demonstration Center for Experimental Mechanics EducationXi'an Jiaotong UniversityXi'anChina
| |
Collapse
|
9
|
Takahashi T, Sasabayashi D, Yücel M, Whittle S, Lorenzetti V, Walterfang M, Suzuki M, Pantelis C, Malhi GS, Allen NB. Different Frequency of Heschl’s Gyrus Duplication Patterns in Neuropsychiatric Disorders: An MRI Study in Bipolar and Major Depressive Disorders. Front Hum Neurosci 2022; 16:917270. [PMID: 35769254 PMCID: PMC9234751 DOI: 10.3389/fnhum.2022.917270] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Accepted: 05/26/2022] [Indexed: 01/13/2023] Open
Abstract
An increased prevalence of duplicated Heschl’s gyrus (HG) has been repeatedly demonstrated in various stages of schizophrenia as a potential neurodevelopmental marker, but it remains unknown whether other neuropsychiatric disorders also exhibit this macroscopic brain feature. The present magnetic resonance imaging study aimed to examine the disease specificity of the established finding of altered HG patterns in schizophrenia by examining independent cohorts of bipolar disorder (BD) and major depressive disorder (MDD). Twenty-six BD patients had a significantly higher prevalence of HG duplication bilaterally compared to 24 age- and sex-matched controls, while their clinical characteristics (e.g., onset age, number of episodes, and medication) did not relate to HG patterns. No significant difference was found for the HG patterns between 56 MDD patients and 33 age- and sex-matched controls, but the patients with a single HG were characterized by more severe depressive/anxiety symptoms compared to those with a duplicated HG. Thus, in keeping with previous findings, the present study suggests that neurodevelopmental pathology associated with gyral formation of the HG during the late gestation period partly overlaps between schizophrenia and BD, but that HG patterns may make a somewhat distinct contribution to the phenomenology of MDD.
Collapse
Affiliation(s)
- Tsutomu Takahashi
- Department of Neuropsychiatry, School of Medicine, University of Toyama, Toyama, Japan
- Research Center for Idling Brain Science, University of Toyama, Toyama, Japan
- *Correspondence: Tsutomu Takahashi,
| | - Daiki Sasabayashi
- Department of Neuropsychiatry, School of Medicine, University of Toyama, Toyama, Japan
- Research Center for Idling Brain Science, University of Toyama, Toyama, Japan
| | - Murat Yücel
- Brain Park, Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, VIC, Australia
| | - Sarah Whittle
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Melbourne, VIC, Australia
| | - Valentina Lorenzetti
- Neuroscience of Addiction and Mental Health Program, Healthy Brain and Mind Research Centre, School of Psychology, Faculty of Health Sciences, Australian Catholic University, Melbourne, VIC, Australia
| | - Mark Walterfang
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Melbourne, VIC, Australia
- Department of Neuropsychiatry, Royal Melbourne Hospital, Melbourne, VIC, Australia
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Melbourne, VIC, Australia
| | - Michio Suzuki
- Department of Neuropsychiatry, School of Medicine, University of Toyama, Toyama, Japan
- Research Center for Idling Brain Science, University of Toyama, Toyama, Japan
| | - Christos Pantelis
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Melbourne, VIC, Australia
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Melbourne, VIC, Australia
- North Western Mental Health, Western Hospital Sunshine, St Albans, VIC, Australia
| | - Gin S. Malhi
- Academic Department of Psychiatry, Kolling Institute, Northern Clinical School, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
- CADE Clinic, Royal North Shore Hospital, Northern Sydney Local Health District, St Leonards, NSW, Australia
| | - Nicholas B. Allen
- Department of Psychology, University of Oregon, Eugene, OR, United States
| |
Collapse
|
10
|
Clinical Value of Inflammatory and Neurotrophic Biomarkers in Bipolar Disorder: A Systematic Review and Meta-Analysis. Biomedicines 2022; 10:biomedicines10061368. [PMID: 35740389 PMCID: PMC9220136 DOI: 10.3390/biomedicines10061368] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 06/03/2022] [Accepted: 06/07/2022] [Indexed: 11/18/2022] Open
Abstract
Bipolar disorder (BD) is a multifactorial chronic psychiatric disease highly defined by genetic, clinical, environmental and social risk factors. The present systematic review and meta-analysis aimed to examine the relationship between inflammatory and neurotrophic factors and clinical, social and environmental factors involved in the development and the characterization of BD. Web of Science, PubMed, PsycINFO, Scopus and Science Direct were searched by two independent reviewers. The systematic review was registered in PROSPERO (CRD42020180626). A total of 51 studies with 4547 patients with a diagnosis of BD were selected for systematic review. Among them, 18 articles were included for meta-analysis. The study found some evidence of associations between BDNF and/or inflammatory factors and different stressors and functional and cognitive impairment, but limitations prevented firm conclusions. The main finding of the meta-analysis was a negative correlation between circulating levels of BDNF and depression severity score (standardized mean difference = −0.22, Confidence Interval 95% = −0.38, −0.05, p = 0.01). Evidence indicates that BDNF has a role in the depressive component of BD. However, the poor consistency found for other inflammatory mediators clearly indicates that highly controlled studies are needed to identity precise biomarkers of this disorder.
Collapse
|
11
|
Av Kák Kollsker S, Coello K, Stanislaus S, Melbye S, Lie Kjaerstad H, Stefanie Ormstrup Sletved K, Vedel Kessing L, Vinberg M. Association between lifetime and recent stressful life events and the early course and psychopathology in patients with newly diagnosed bipolar disorder, first-degree unaffected relatives and healthy controls: Cross-sectional results from a prospective study. Bipolar Disord 2022; 24:59-68. [PMID: 33938103 DOI: 10.1111/bdi.13093] [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: 11/29/2022]
Abstract
OBJECTIVE There is an accumulation of stressful life events prior to the first mood episode, but the impact of previous severe life events on psychopathology in patients with bipolar disorder (BD) is not well studied. We aimed to examine the number of recent and lifetime life events in patients with newly diagnosed BD, their unaffected relatives (UR), and healthy controls (HC) as well as the impact of severe lifetime life events on the early course of BD. METHODS We compared the number of recent and lifetime life events in 398 patients with newly diagnosed BD, 109 UR, and 214 HC. We subsequently dichotomized the patients with BD by >2 lifetime life events to investigate the associations of severe lifetime life events with clinical characteristics and affective symptoms. RESULTS Patients with newly diagnosed BD reported significantly more life events in the last 12 months and lifetime before compared with UR and HC. Patients who reported >2 lifetime life events (n = 160) compared with patients with 0-2 life events (n = 238) had a significantly longer diagnostic delay (9.5 years ± 8.2 vs. 6.2 years ± 6.9), presented with more anxiety and depressive symptoms and had at least one previous suicide attempt (30.6% vs. 15.6%) and one previous admission (51.3% vs. 36.6%). CONCLUSION The experience of severe lifetime life events seems to impact the early course in BD in terms of longer diagnostic delay, more severe psychopathology including more admissions and a more than doubled risk for previous suicide attempts.
Collapse
Affiliation(s)
- Stina Av Kák Kollsker
- Copenhagen Affective Disorders Research Centre (CADIC, Psychiatric Centre Copenhagen, Rigshospitalet, Denmark
| | - Klara Coello
- Copenhagen Affective Disorders Research Centre (CADIC, Psychiatric Centre Copenhagen, Rigshospitalet, Denmark
| | - Sharleny Stanislaus
- Copenhagen Affective Disorders Research Centre (CADIC, Psychiatric Centre Copenhagen, Rigshospitalet, Denmark
| | - Sigurd Melbye
- Copenhagen Affective Disorders Research Centre (CADIC, Psychiatric Centre Copenhagen, Rigshospitalet, Denmark
| | - Hanne Lie Kjaerstad
- Copenhagen Affective Disorders Research Centre (CADIC, Psychiatric Centre Copenhagen, Rigshospitalet, Denmark
| | | | - Lars Vedel Kessing
- Copenhagen Affective Disorders Research Centre (CADIC, Psychiatric Centre Copenhagen, Rigshospitalet, Denmark.,Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Maj Vinberg
- Copenhagen Affective Disorders Research Centre (CADIC, Psychiatric Centre Copenhagen, Rigshospitalet, Denmark.,Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Psychiatric Research Unit, Psychiatric Centre North Zealand, Hillerød, Denmark
| |
Collapse
|
12
|
Ching CRK, Hibar DP, Gurholt TP, Nunes A, Thomopoulos SI, Abé C, Agartz I, Brouwer RM, Cannon DM, de Zwarte SMC, Eyler LT, Favre P, Hajek T, Haukvik UK, Houenou J, Landén M, Lett TA, McDonald C, Nabulsi L, Patel Y, Pauling ME, Paus T, Radua J, Soeiro‐de‐Souza MG, Tronchin G, van Haren NEM, Vieta E, Walter H, Zeng L, Alda M, Almeida J, Alnæs D, Alonso‐Lana S, Altimus C, Bauer M, Baune BT, Bearden CE, Bellani M, Benedetti F, Berk M, Bilderbeck AC, Blumberg HP, Bøen E, Bollettini I, del Mar Bonnin C, Brambilla P, Canales‐Rodríguez EJ, Caseras X, Dandash O, Dannlowski U, Delvecchio G, Díaz‐Zuluaga AM, Dima D, Duchesnay É, Elvsåshagen T, Fears SC, Frangou S, Fullerton JM, Glahn DC, Goikolea JM, Green MJ, Grotegerd D, Gruber O, Haarman BCM, Henry C, Howells FM, Ives‐Deliperi V, Jansen A, Kircher TTJ, Knöchel C, Kramer B, Lafer B, López‐Jaramillo C, Machado‐Vieira R, MacIntosh BJ, Melloni EMT, Mitchell PB, Nenadic I, Nery F, Nugent AC, Oertel V, Ophoff RA, Ota M, Overs BJ, Pham DL, Phillips ML, Pineda‐Zapata JA, Poletti S, Polosan M, Pomarol‐Clotet E, Pouchon A, Quidé Y, Rive MM, Roberts G, Ruhe HG, Salvador R, Sarró S, Satterthwaite TD, Schene AH, Sim K, Soares JC, Stäblein M, Stein DJ, Tamnes CK, Thomaidis GV, Upegui CV, Veltman DJ, Wessa M, Westlye LT, Whalley HC, Wolf DH, Wu M, Yatham LN, Zarate CA, Thompson PM, Andreassen OA. What we learn about bipolar disorder from large-scale neuroimaging: Findings and future directions from the ENIGMA Bipolar Disorder Working Group. Hum Brain Mapp 2022; 43:56-82. [PMID: 32725849 PMCID: PMC8675426 DOI: 10.1002/hbm.25098] [Citation(s) in RCA: 53] [Impact Index Per Article: 26.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Revised: 05/31/2020] [Accepted: 06/04/2020] [Indexed: 12/17/2022] Open
Abstract
MRI-derived brain measures offer a link between genes, the environment and behavior and have been widely studied in bipolar disorder (BD). However, many neuroimaging studies of BD have been underpowered, leading to varied results and uncertainty regarding effects. The Enhancing Neuro Imaging Genetics through Meta-Analysis (ENIGMA) Bipolar Disorder Working Group was formed in 2012 to empower discoveries, generate consensus findings and inform future hypothesis-driven studies of BD. Through this effort, over 150 researchers from 20 countries and 55 institutions pool data and resources to produce the largest neuroimaging studies of BD ever conducted. The ENIGMA Bipolar Disorder Working Group applies standardized processing and analysis techniques to empower large-scale meta- and mega-analyses of multimodal brain MRI and improve the replicability of studies relating brain variation to clinical and genetic data. Initial BD Working Group studies reveal widespread patterns of lower cortical thickness, subcortical volume and disrupted white matter integrity associated with BD. Findings also include mapping brain alterations of common medications like lithium, symptom patterns and clinical risk profiles and have provided further insights into the pathophysiological mechanisms of BD. Here we discuss key findings from the BD working group, its ongoing projects and future directions for large-scale, collaborative studies of mental illness.
Collapse
Affiliation(s)
- Christopher R. K. Ching
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | | | - Tiril P. Gurholt
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of OsloOsloNorway
- Division of Mental Health and Addicition, Oslo University HospitalOsloNorway
| | - Abraham Nunes
- Department of PsychiatryDalhousie UniversityHalifaxNova ScotiaCanada
- Faculty of Computer ScienceDalhousie UniversityHalifaxNova ScotiaCanada
| | - Sophia I. Thomopoulos
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Christoph Abé
- Faculty of Computer ScienceDalhousie UniversityHalifaxNova ScotiaCanada
- Department of Clinical NeuroscienceKarolinska InstitutetStockholmSweden
| | - Ingrid Agartz
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of OsloOsloNorway
- Department of Psychiatric ResearchDiakonhjemmet HospitalOsloNorway
- Center for Psychiatric Research, Department of Clinical NeuroscienceKarolinska InstitutetStockholmSweden
| | - Rachel M. Brouwer
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center UtrechtUtrecht UniversityUtrechtThe Netherlands
| | - Dara M. Cannon
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health SciencesNational University of Ireland GalwayGalwayIreland
| | - Sonja M. C. de Zwarte
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center UtrechtUtrecht UniversityUtrechtThe Netherlands
| | - Lisa T. Eyler
- Department of PsychiatryUniversity of CaliforniaLa JollaCaliforniaUSA
- Desert‐Pacific MIRECCVA San Diego HealthcareSan DiegoCaliforniaUSA
| | - Pauline Favre
- INSERM U955, team 15 “Translational Neuro‐Psychiatry”CréteilFrance
- Neurospin, CEA Paris‐Saclay, team UNIACTGif‐sur‐YvetteFrance
| | - Tomas Hajek
- Division of Mental Health and Addicition, Oslo University HospitalOsloNorway
- National Institute of Mental HealthKlecanyCzech Republic
| | - Unn K. Haukvik
- Division of Mental Health and Addicition, Oslo University HospitalOsloNorway
- Norwegian Centre for Mental Disorders Research (NORMENT)Oslo University HospitalOsloNorway
| | - Josselin Houenou
- INSERM U955, team 15 “Translational Neuro‐Psychiatry”CréteilFrance
- Neurospin, CEA Paris‐Saclay, team UNIACTGif‐sur‐YvetteFrance
- APHPMondor University Hospitals, DMU IMPACTCréteilFrance
| | - Mikael Landén
- Department of Neuroscience and PhysiologyUniversity of GothenburgGothenburgSweden
- Department of Medical Epidemiology and BiostatisticsKarolinska InstitutetStockholmSweden
| | - Tristram A. Lett
- Department for Psychiatry and PsychotherapyCharité Universitätsmedizin BerlinBerlinGermany
- Department of Neurology with Experimental NeurologyCharité Universitätsmedizin BerlinBerlinGermany
| | - Colm McDonald
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center UtrechtUtrecht UniversityUtrechtThe Netherlands
| | - Leila Nabulsi
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center UtrechtUtrecht UniversityUtrechtThe Netherlands
| | - Yash Patel
- Bloorview Research InstituteHolland Bloorview Kids Rehabilitation HospitalTorontoOntarioCanada
| | - Melissa E. Pauling
- Desert‐Pacific MIRECCVA San Diego HealthcareSan DiegoCaliforniaUSA
- INSERM U955, team 15 “Translational Neuro‐Psychiatry”CréteilFrance
| | - Tomas Paus
- Bloorview Research InstituteHolland Bloorview Kids Rehabilitation HospitalTorontoOntarioCanada
- Departments of Psychology and PsychiatryUniversity of TorontoTorontoOntarioCanada
| | - Joaquim Radua
- Department of Psychiatric ResearchDiakonhjemmet HospitalOsloNorway
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM)BarcelonaSpain
- Early Psychosis: Interventions and Clinical‐detection (EPIC) lab, Department of Psychosis StudiesInstitute of Psychiatry, Psychology and Neuroscience, King's College LondonLondonUK
- Stockholm Health Care ServicesStockholm County CouncilStockholmSweden
| | - Marcio G. Soeiro‐de‐Souza
- Mood Disorders Unit (GRUDA), Hospital das Clinicas HCFMUSP, Faculdade de MedicinaUniversidade de São PauloSão PauloSPBrazil
| | - Giulia Tronchin
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center UtrechtUtrecht UniversityUtrechtThe Netherlands
| | - Neeltje E. M. van Haren
- Department of Child and Adolescent Psychiatry/PsychologyErasmus Medical CenterRotterdamThe Netherlands
| | - Eduard Vieta
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM)BarcelonaSpain
- Barcelona Bipolar Disorders and Depressive Unit, Hospital Clinic, Institute of NeurosciencesUniversity of BarcelonaBarcelonaSpain
| | - Henrik Walter
- Department for Psychiatry and PsychotherapyCharité Universitätsmedizin BerlinBerlinGermany
| | - Ling‐Li Zeng
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
- College of Intelligence Science and TechnologyNational University of Defense TechnologyChangshaChina
| | - Martin Alda
- Division of Mental Health and Addicition, Oslo University HospitalOsloNorway
| | - Jorge Almeida
- Dell Medical SchoolThe University of Texas at AustinAustinTexasUSA
| | - Dag Alnæs
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of OsloOsloNorway
| | - Silvia Alonso‐Lana
- FIDMAG Germanes Hospitalàries Research FoundationBarcelonaSpain
- CIBERSAMMadridSpain
| | - Cara Altimus
- Milken Institute Center for Strategic PhilanthropyWashingtonDistrict of ColumbiaUSA
| | - Michael Bauer
- Department of Psychiatry and Psychotherapy, Medical FacultyTechnische Universität DresdenDresdenGermany
| | - Bernhard T. Baune
- Department of PsychiatryUniversity of MünsterMünsterGermany
- Department of PsychiatryThe University of MelbourneMelbourneVictoriaAustralia
- The Florey Institute of Neuroscience and Mental HealthThe University of MelbourneMelbourneVictoriaAustralia
| | - Carrie E. Bearden
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human BehaviorUniversity of CaliforniaLos AngelesCaliforniaUSA
- Department of PsychologyUniversity of CaliforniaLos AngelesCaliforniaUSA
| | - Marcella Bellani
- Section of Psychiatry, Department of Neurosciences, Biomedicine and Movement SciencesUniversity of VeronaVeronaItaly
| | - Francesco Benedetti
- Vita‐Salute San Raffaele UniversityMilanItaly
- Division of Neuroscience, Psychiatry and Psychobiology UnitIRCCS San Raffaele Scientific InstituteMilanItaly
| | - Michael Berk
- Department of Pathophysiology and TransplantationUniversity of MilanMilanItaly
- IMPACT Institute – The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon HealthDeakin UniversityGeelongVictoriaAustralia
| | - Amy C. Bilderbeck
- The National Centre of Excellence in Youth Mental Health, Centre for Youth Mental Health, Florey Institute for Neuroscience and Mental Health and the Department of Psychiatry, The University of MelbourneOrygenMelbourneVictoriaAustralia
- P1vital LtdWallingfordUK
| | | | - Erlend Bøen
- Mood Disorders Research ProgramYale School of MedicineNew HavenConnecticutUSA
| | - Irene Bollettini
- Division of Neuroscience, Psychiatry and Psychobiology UnitIRCCS San Raffaele Scientific InstituteMilanItaly
| | - Caterina del Mar Bonnin
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM)BarcelonaSpain
- Barcelona Bipolar Disorders and Depressive Unit, Hospital Clinic, Institute of NeurosciencesUniversity of BarcelonaBarcelonaSpain
| | - Paolo Brambilla
- Psychosomatic and CL PsychiatryOslo University HospitalOsloNorway
- Department of Neurosciences and Mental HealthFondazione IRCCS Ca' Granda Ospedale Maggiore PoliclinicoMilanItaly
| | - Erick J. Canales‐Rodríguez
- FIDMAG Germanes Hospitalàries Research FoundationBarcelonaSpain
- CIBERSAMMadridSpain
- Department of RadiologyCentre Hospitalier Universitaire Vaudois (CHUV)LausanneSwitzerland
- Signal Processing Lab (LTS5), École Polytechnique Fédérale de LausanneLausanneSwitzerland
| | - Xavier Caseras
- MRC Centre for Neuropsychiatric Genetics and GenomicsCardiff UniversityCardiffUK
| | - Orwa Dandash
- Melbourne Neuropsychiatry Centre, Department of PsychiatryUniversity of Melbourne and Melbourne HealthMelbourneVictoriaAustralia
- Brain, Mind and Society Research Hub, Turner Institute for Brain and Mental Health, School of Psychological SciencesMonash UniversityClaytonVictoriaAustralia
| | - Udo Dannlowski
- Department of PsychiatryUniversity of MünsterMünsterGermany
| | | | - Ana M. Díaz‐Zuluaga
- Research Group in Psychiatry GIPSI, Department of PsychiatryFaculty of Medicine, Universidad de AntioquiaMedellínColombia
| | - Danai Dima
- Department of Psychology, School of Social Sciences and ArtsCity, University of LondonLondonUK
- Department of Neuroimaging, Institute of Psychiatry, Psychology & NeuroscienceKing's College LondonLondonUK
| | | | - Torbjørn Elvsåshagen
- Norwegian Centre for Mental Disorders Research (NORMENT)Oslo University HospitalOsloNorway
- Department of NeurologyOslo University HospitalOsloNorway
- Institute of Clinical MedicineUniversity of OsloOsloNorway
| | - Scott C. Fears
- Center for Neurobehavioral GeneticsLos AngelesCaliforniaUSA
- Greater Los Angeles Veterans AdministrationLos AngelesCaliforniaUSA
| | - Sophia Frangou
- Centre for Brain HealthUniversity of British ColumbiaVancouverBritish ColumbiaCanada
- Department of PsychiatryIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Janice M. Fullerton
- Neuroscience Research AustraliaRandwickNew South WalesAustralia
- School of Medical SciencesUniversity of New South WalesSydneyNew South WalesAustralia
| | - David C. Glahn
- Department of PsychiatryBoston Children's Hospital and Harvard Medical SchoolBostonMassachusettsUSA
| | - Jose M. Goikolea
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM)BarcelonaSpain
- Barcelona Bipolar Disorders and Depressive Unit, Hospital Clinic, Institute of NeurosciencesUniversity of BarcelonaBarcelonaSpain
| | - Melissa J. Green
- Neuroscience Research AustraliaRandwickNew South WalesAustralia
- School of PsychiatryUniversity of New South WalesSydneyNew South WalesAustralia
| | | | - Oliver Gruber
- Department of General PsychiatryHeidelberg UniversityHeidelbergGermany
| | - Bartholomeus C. M. Haarman
- Department of Psychiatry, University Medical Center GroningenUniversity of GroningenGroningenThe Netherlands
| | - Chantal Henry
- Department of PsychiatryService Hospitalo‐Universitaire, GHU Paris Psychiatrie & NeurosciencesParisFrance
- Université de ParisParisFrance
| | - Fleur M. Howells
- Neuroscience InstituteUniversity of Cape TownCape TownSouth Africa
- Department of Psychiatry and Mental HealthUniversity of Cape TownCape TownSouth Africa
| | | | - Andreas Jansen
- Core‐Facility Brainimaging, Faculty of MedicineUniversity of MarburgMarburgGermany
- Department of Psychiatry and PsychotherapyPhilipps‐University MarburgMarburgGermany
| | - Tilo T. J. Kircher
- Department of Psychiatry and PsychotherapyPhilipps‐University MarburgMarburgGermany
| | - Christian Knöchel
- Department of Psychiatry, Psychosomatic Medicine and PsychotherapyGoethe University FrankfurtFrankfurtGermany
| | - Bernd Kramer
- Department of General PsychiatryHeidelberg UniversityHeidelbergGermany
| | - Beny Lafer
- Laboratory of Psychiatric Neuroimaging (LIM‐21), Departamento e Instituto de PsiquiatriaHospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de São PauloSão PauloSPBrazil
| | - Carlos López‐Jaramillo
- Research Group in Psychiatry GIPSI, Department of PsychiatryFaculty of Medicine, Universidad de AntioquiaMedellínColombia
- Mood Disorders ProgramHospital Universitario Trastorno del ÁnimoMedellínColombia
| | - Rodrigo Machado‐Vieira
- Experimental Therapeutics and Molecular Pathophysiology Program, Department of PsychiatryUTHealth, University of TexasHoustonTexasUSA
| | - Bradley J. MacIntosh
- Hurvitz Brain SciencesSunnybrook Research InstituteTorontoOntarioCanada
- Department of Medical BiophysicsUniversity of TorontoTorontoOntarioCanada
| | - Elisa M. T. Melloni
- Vita‐Salute San Raffaele UniversityMilanItaly
- Division of Neuroscience, Psychiatry and Psychobiology UnitIRCCS San Raffaele Scientific InstituteMilanItaly
| | - Philip B. Mitchell
- School of PsychiatryUniversity of New South WalesSydneyNew South WalesAustralia
| | - Igor Nenadic
- Department of Psychiatry and PsychotherapyPhilipps‐University MarburgMarburgGermany
| | - Fabiano Nery
- University of CincinnatiCincinnatiOhioUSA
- Universidade de São PauloSão PauloSPBrazil
| | | | - Viola Oertel
- Department of Psychiatry, Psychosomatic Medicine and PsychotherapyGoethe University FrankfurtFrankfurtGermany
| | - Roel A. Ophoff
- UCLA Center for Neurobehavioral GeneticsLos AngelesCaliforniaUSA
- Department of PsychiatryErasmus Medical Center, Erasmus UniversityRotterdamThe Netherlands
| | - Miho Ota
- Department of Mental Disorder ResearchNational Institute of Neuroscience, National Center of Neurology and PsychiatryTokyoJapan
| | | | - Daniel L. Pham
- Milken Institute Center for Strategic PhilanthropyWashingtonDistrict of ColumbiaUSA
| | - Mary L. Phillips
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | | | - Sara Poletti
- Vita‐Salute San Raffaele UniversityMilanItaly
- Division of Neuroscience, Psychiatry and Psychobiology UnitIRCCS San Raffaele Scientific InstituteMilanItaly
| | - Mircea Polosan
- University of Grenoble AlpesCHU Grenoble AlpesGrenobleFrance
- INSERM U1216 ‐ Grenoble Institut des NeurosciencesLa TroncheFrance
| | - Edith Pomarol‐Clotet
- FIDMAG Germanes Hospitalàries Research FoundationBarcelonaSpain
- CIBERSAMMadridSpain
| | - Arnaud Pouchon
- University of Grenoble AlpesCHU Grenoble AlpesGrenobleFrance
| | - Yann Quidé
- Neuroscience Research AustraliaRandwickNew South WalesAustralia
- School of PsychiatryUniversity of New South WalesSydneyNew South WalesAustralia
| | - Maria M. Rive
- Department of PsychiatryAmsterdam UMC, location AMCAmsterdamThe Netherlands
| | - Gloria Roberts
- School of PsychiatryUniversity of New South WalesSydneyNew South WalesAustralia
| | - Henricus G. Ruhe
- Department of PsychiatryRadboud University Medical CenterNijmegenThe Netherlands
- Donders Institute for Brain, Cognition and BehaviorRadboud UniversityNijmegenThe Netherlands
| | - Raymond Salvador
- FIDMAG Germanes Hospitalàries Research FoundationBarcelonaSpain
- CIBERSAMMadridSpain
| | - Salvador Sarró
- FIDMAG Germanes Hospitalàries Research FoundationBarcelonaSpain
- CIBERSAMMadridSpain
| | - Theodore D. Satterthwaite
- Department of PsychiatryUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPennsylvaniaUSA
| | - Aart H. Schene
- Department of PsychiatryRadboud University Medical CenterNijmegenThe Netherlands
| | - Kang Sim
- West Region, Institute of Mental HealthSingaporeSingapore
- Yong Loo Lin School of MedicineNational University of SingaporeSingaporeSingapore
| | - Jair C. Soares
- Center of Excellent on Mood DisordersUTHealth HoustonHoustonTexasUSA
- Department of Psychiatry and Behavioral SciencesUTHealth HoustonHoustonTexasUSA
| | - Michael Stäblein
- Department of Psychiatry, Psychosomatic Medicine and PsychotherapyGoethe University FrankfurtFrankfurtGermany
| | - Dan J. Stein
- Neuroscience InstituteUniversity of Cape TownCape TownSouth Africa
- Department of Psychiatry and Mental HealthUniversity of Cape TownCape TownSouth Africa
- SAMRC Unit on Risk & Resilience in Mental DisordersUniversity of Cape TownCape TownSouth Africa
| | - Christian K. Tamnes
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of OsloOsloNorway
- Department of Psychiatric ResearchDiakonhjemmet HospitalOsloNorway
- PROMENTA Research Center, Department of PsychologyUniversity of OsloOsloNorway
| | - Georgios V. Thomaidis
- Papanikolaou General HospitalThessalonikiGreece
- Laboratory of Mechanics and MaterialsSchool of Engineering, Aristotle UniversityThessalonikiGreece
| | - Cristian Vargas Upegui
- Research Group in Psychiatry GIPSI, Department of PsychiatryFaculty of Medicine, Universidad de AntioquiaMedellínColombia
| | - Dick J. Veltman
- Department of PsychiatryAmsterdam UMCAmsterdamThe Netherlands
| | - Michèle Wessa
- Department of Neuropsychology and Clinical PsychologyJohannes Gutenberg‐University MainzMainzGermany
| | - Lars T. Westlye
- Department of PsychologyUniversity of OsloOsloNorway
- Norwegian Centre for Mental Disorders Research (NORMENT), Department of Mental Health and AddictionOslo University HospitalOsloNorway
| | | | - Daniel H. Wolf
- Department of PsychiatryUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPennsylvaniaUSA
| | - Mon‐Ju Wu
- Department of Psychiatry and Behavioral SciencesUTHealth HoustonHoustonTexasUSA
| | - Lakshmi N. Yatham
- Department of PsychiatryUniversity of British ColumbiaVancouverBritish ColumbiaCanada
| | - Carlos A. Zarate
- Chief Experimental Therapeutics & Pathophysiology BranchBethesdaMarylandUSA
- Intramural Research ProgramNational Institute of Mental HealthBethesdaMarylandUSA
| | - Paul M. Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Ole A. Andreassen
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of OsloOsloNorway
- Division of Mental Health and Addicition, Oslo University HospitalOsloNorway
| | | |
Collapse
|
13
|
Macoveanu J, Kjærstad HL, Vinberg M, Harmer C, Fisher PM, Knudsen GM, Kessing LV, Miskowiak KW. Affective episodes in recently diagnosed patients with bipolar disorder associated with altered working memory-related prefrontal cortex activity: A longitudinal fMRI study. J Affect Disord 2021; 295:647-656. [PMID: 34509780 DOI: 10.1016/j.jad.2021.08.110] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Revised: 08/09/2021] [Accepted: 08/28/2021] [Indexed: 10/20/2022]
Abstract
INTRODUCTION Bipolar disorder (BD) is often accompanied by trait-related cognitive impairments, but it is unclear which neurocircuitry abnormalities give rise to these impairments and whether neurocircuitry differences are exacerbated with illness progression. This longitudinal fMRI study of recently diagnosed BD patients investigates whether aberrant working memory (WM) related activity in the cognitive control network is accentuated by new affective episodes. METHODS Forty-seven recently diagnosed BD patients in full or partial remission and 38 healthy controls were assessed with neurocognitive tests and fMRI during the performance of a verbal n-back WM task at baseline and follow-up (15.4 months in average). RESULTS Patients showed WM-related hypo-activity in dorsal prefrontal cortex (dPFC) and impaired cognitive function within attention and psychomotor speed, WM and executive function, and verbal learning and memory compared to controls at baseline. During the follow-up period, 26 patients experienced at least one affective episode (BD+), while 21 remained in remission (BD-). There was no deterioration in cognitive performance in BD+ compared to BD- patients. Nevertheless, BD+ displayed increased WM-related dPFC activity at follow-up compared with BD- patients. This change in dPFC response was independent of mood symptoms and medication. LIMITATIONS The study did not account for type or frequency of affective episodes. CONCLUSION The study identifies cognitive impairment and WM-related hypo-activity in dPFC early during the course of BD. Increased high-load WM related dPFC activity over the follow-up period in BD+ versus BD- patients in the absence of changes in cognitive performance may reflect an episode-related reduction in PFC efficiency.
Collapse
Affiliation(s)
- Julian Macoveanu
- Copenhagen Affective Disorder Research Center (CADIC), Psychiatric Centre Copenhagen, Department O, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.
| | - Hanne Lie Kjærstad
- Copenhagen Affective Disorder Research Center (CADIC), Psychiatric Centre Copenhagen, Department O, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Maj Vinberg
- Copenhagen Affective Disorder Research Center (CADIC), Psychiatric Centre Copenhagen, Department O, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark; Department of Clinical Medicine University of Copenhagen, Copenhagen, Denmark; Mental Health Services, Capital Region of Denmark, Psychiatric Centre North Zealand, Hillerød, Denmark
| | - Catherine Harmer
- University Department of Psychiatry, Warneford Hospital, Oxford, United Kingdom
| | | | - Gitte Moos Knudsen
- Department of Clinical Medicine University of Copenhagen, Copenhagen, Denmark; Neurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Lars Vedel Kessing
- Copenhagen Affective Disorder Research Center (CADIC), Psychiatric Centre Copenhagen, Department O, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark; Department of Clinical Medicine University of Copenhagen, Copenhagen, Denmark
| | - Kamilla Woznica Miskowiak
- Copenhagen Affective Disorder Research Center (CADIC), Psychiatric Centre Copenhagen, Department O, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark; Department of Psychology, University of Copenhagen, Copenhagen, Denmark
| |
Collapse
|
14
|
Cañada Y, Sabater A, Sierra P, Balanzá-Martínez V, Berk M, Dodd S, Navalón P, Livianos L, García-Blanco A. The effect of concomitant benzodiazepine use on neurocognition in stable, long-term patients with bipolar disorder. Aust N Z J Psychiatry 2021; 55:1005-1016. [PMID: 33153268 DOI: 10.1177/0004867420969819] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
OBJECTIVE Neurocognitive dysfunction is a common feature of bipolar disorder even in euthymia, and psychopharmacological treatment could have an effect on cognition. Long-term prescription of benzodiazepines in bipolar disorder is a common practice, and their effect on neurocognition has not been well studied in this population. The aim of this study was to evaluate the impact of concomitant benzodiazepine long-term use on neurocognitive function in stable euthymic bipolar disorder patients. METHODS Seventy-three euthymic bipolar disorder outpatients and 40 healthy individuals were assessed using a neurocognitive battery. Patients were classified in two groups according to the presence of benzodiazepines in their treatment: the benzodiazepine group (n = 34) and the non- benzodiazepine group (n = 39). Neurocognitive performance was compared between the groups using a multivariate analysis of covariance, considering age, number of depressive episodes, adjuvant antipsychotic drugs, Young Mania Rating Scale score and Hamilton Depression Rating Scale score as covariates. RESULTS Both bipolar disorder groups (benzodiazepine and non-benzodiazepine) showed an impairment in memory domains (Immediate Visual Memory [p = 0.013], Working Memory [p < 0.001], and Letter-Number Sequence [p < 0.001] from the Wechsler Memory Scale-Revised-III) and slower processing speed functions (Stroop Colour [p < 0.001]) relative to the control group. Nevertheless, the benzodiazepine group showed a greater impairment in executive functions (Conceptual Level Responses [p = 0.024] from the Wisconsin Card Sorting Test and Frontal Assessment Battery [p = 0.042]). CONCLUSION Although memory and processing speed impairments were found in bipolar disorder, regardless of their benzodiazepine treatment, benzodiazepine users presented additional neurocognitive impairments in terms of executive functioning. These findings support restricted prescription of benzodiazepines in individuals with bipolar disorder.
Collapse
Affiliation(s)
- Yolanda Cañada
- Department of Psychiatry and Psychology, La Fe University and Polytechnic Hospital, Valencia, Spain
| | - Ana Sabater
- Department of Psychiatry and Psychology, La Fe University and Polytechnic Hospital, Valencia, Spain
| | - Pilar Sierra
- Department of Psychiatry and Psychology, La Fe University and Polytechnic Hospital, Valencia, Spain.,Department of Medicine, University of Valencia, Valencia, Spain
| | - Vicent Balanzá-Martínez
- Department of Psychiatry and Psychology, La Fe University and Polytechnic Hospital, Valencia, Spain.,Department of Medicine, University of Valencia, Valencia, Spain.,Center of Biomedical Investigation Network in Mental Health (CIBERSAM), Madrid, Spain
| | - Michael Berk
- The Institute for Mental and Physical Health and Clinical Translation (IMPACT), Deakin University, Geelong, VIC, Australia.,Orygen - The National Centre for Excellence in Youth Mental Health, Parkville, VIC, Australia.,Florey Institute for Neuroscience and Mental Health, Parkville, VIC, Australia.,Department of Psychiatry, The University of Melbourne, Parkville, VIC, Australia
| | - Seetal Dodd
- The Institute for Mental and Physical Health and Clinical Translation (IMPACT), Deakin University, Geelong, VIC, Australia.,Orygen - The National Centre for Excellence in Youth Mental Health, Parkville, VIC, Australia.,Department of Psychiatry, The University of Melbourne, Parkville, VIC, Australia
| | - Pablo Navalón
- Department of Psychiatry and Psychology, La Fe University and Polytechnic Hospital, Valencia, Spain.,Neonatal Research Unit, La Fe Health Research Institute, Valencia, Spain
| | - Lorenzo Livianos
- Department of Psychiatry and Psychology, La Fe University and Polytechnic Hospital, Valencia, Spain.,Department of Medicine, University of Valencia, Valencia, Spain.,CIBERESP-17, Valencia, Spain
| | - Ana García-Blanco
- Department of Psychiatry and Psychology, La Fe University and Polytechnic Hospital, Valencia, Spain.,Neonatal Research Unit, La Fe Health Research Institute, Valencia, Spain.,Department of Personality, Evaluation, and Psychological Treatments, University of Valencia, Valencia, Spain
| |
Collapse
|
15
|
Chen WY, Huang MC, Lee YC, Chang CE, Lin SK, Chiu CC, Liu HC, Kuo CJ, Weng SH, Chen PY, Kuo PH. The Heterogeneity of Longitudinal Cognitive Decline in Euthymic Bipolar I Disorder With Clinical Characteristics and Functional Outcomes. Front Psychiatry 2021; 12:684813. [PMID: 34366918 PMCID: PMC8335543 DOI: 10.3389/fpsyt.2021.684813] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Accepted: 06/24/2021] [Indexed: 12/01/2022] Open
Abstract
We characterized the heterogeneity and risk factors of cognitive decline in euthymic bipolar disorder (BD), and their magnitude of associations with subjective daily functions. In this retrospective cohort, BD type I patients (N = 128) were followed for an average of 6.5 years. Intelligence quotient (IQ) at index date was recorded, and premorbid IQ was estimated. We used Brief Assessment of Cognition in Affective Disorders (BAC-A) to assess cognition at follow-up. We evaluated current functions with World Health Organization Disability Assessment Schedule 2.0. Clinical and sociodemographic factors were examined for their independent effects on longitudinal cognitive decline. In addition, we employed multivariate adaptive regression spline to detect inflection points for the nature of slope changes in cognitive decline among BD patients. During follow-up years, 21 BD patients (16.4%) showed longitudinal cognitive decline. In cognitive decline group, all cognitive domains of BAC-A were significantly worsened. We found that density of episodes with psychotic features was an independent risk factor for cognitive decline after adjusted for age, gender and dose of mood stabilizer. After the age of 42 years, a steeper cognitive change was observed in the cognitive decline group. The correlation pattern between cognitive domains and functional outcomes differed between patients with and without cognitive decline. The present study characterized cognitive heterogeneity longitudinally in BD patients. As density of episodes play roles for cognitive decline, our results emphasize the importance of relapse prevention. Our findings provide hints for future personalized interventions and facilitating genetic and biological studies for dissecting the heterogeneity of bipolar illness.
Collapse
Affiliation(s)
- Wen-Yin Chen
- Department of Psychiatry, Taipei City Psychiatric Center, Taipei City Hospital, Taipei, Taiwan
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan
| | - Ming-Chyi Huang
- Department of Psychiatry, Taipei City Psychiatric Center, Taipei City Hospital, Taipei, Taiwan
- Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Ya-Chin Lee
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan
| | - Chiao-Erh Chang
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan
| | - Shih-Ku Lin
- Department of Psychiatry, Taipei City Psychiatric Center, Taipei City Hospital, Taipei, Taiwan
- Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Chih Chiang Chiu
- Department of Psychiatry, Taipei City Psychiatric Center, Taipei City Hospital, Taipei, Taiwan
- Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Hsing-Cheng Liu
- Department of Psychiatry, Taipei City Psychiatric Center, Taipei City Hospital, Taipei, Taiwan
- Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Chian-Jue Kuo
- Department of Psychiatry, Taipei City Psychiatric Center, Taipei City Hospital, Taipei, Taiwan
- Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Shih-Han Weng
- Department of Education and Research, Taipei City Hospital, Taipei, Taiwan
| | - Po-Yu Chen
- Department of Psychiatry, Taipei City Psychiatric Center, Taipei City Hospital, Taipei, Taiwan
- Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Po-Hsiu Kuo
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan
- Department of Public Health, College of Public Health, National Taiwan University, Taipei, Taiwan
- Department of Psychiatry, National Taiwan University Hospital, Taipei, Taiwan
| |
Collapse
|
16
|
Ji JL, Helmer M, Fonteneau C, Burt JB, Tamayo Z, Demšar J, Adkinson BD, Savić A, Preller KH, Moujaes F, Vollenweider FX, Martin WJ, Repovš G, Murray JD, Anticevic A. Mapping brain-behavior space relationships along the psychosis spectrum. eLife 2021; 10:66968. [PMID: 34313219 PMCID: PMC8315806 DOI: 10.7554/elife.66968] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Accepted: 06/14/2021] [Indexed: 12/29/2022] Open
Abstract
Difficulties in advancing effective patient-specific therapies for psychiatric disorders highlight a need to develop a stable neurobiologically grounded mapping between neural and symptom variation. This gap is particularly acute for psychosis-spectrum disorders (PSD). Here, in a sample of 436 PSD patients spanning several diagnoses, we derived and replicated a dimensionality-reduced symptom space across hallmark psychopathology symptoms and cognitive deficits. In turn, these symptom axes mapped onto distinct, reproducible brain maps. Critically, we found that multivariate brain-behavior mapping techniques (e.g. canonical correlation analysis) do not produce stable results with current sample sizes. However, we show that a univariate brain-behavioral space (BBS) can resolve stable individualized prediction. Finally, we show a proof-of-principle framework for relating personalized BBS metrics with molecular targets via serotonin and glutamate receptor manipulations and neural gene expression maps derived from the Allen Human Brain Atlas. Collectively, these results highlight a stable and data-driven BBS mapping across PSD, which offers an actionable path that can be iteratively optimized for personalized clinical biomarker endpoints.
Collapse
Affiliation(s)
- Jie Lisa Ji
- Department of Psychiatry, Yale University School of Medicine, New Haven, United States.,Interdepartmental Neuroscience Program, Yale University School of Medicine, New Haven, United States
| | - Markus Helmer
- Department of Psychiatry, Yale University School of Medicine, New Haven, United States
| | - Clara Fonteneau
- Department of Psychiatry, Yale University School of Medicine, New Haven, United States
| | | | - Zailyn Tamayo
- Department of Psychiatry, Yale University School of Medicine, New Haven, United States
| | - Jure Demšar
- Department of Psychology, University of Ljubljana, Ljubljana, Slovenia.,Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia
| | - Brendan D Adkinson
- Department of Psychiatry, Yale University School of Medicine, New Haven, United States.,Interdepartmental Neuroscience Program, Yale University School of Medicine, New Haven, United States
| | | | - Katrin H Preller
- Department of Psychiatry, Psychotherapy and Psychosomatics, University Hospital for Psychiatry Zurich, Zurich, Switzerland
| | - Flora Moujaes
- Department of Psychiatry, Psychotherapy and Psychosomatics, University Hospital for Psychiatry Zurich, Zurich, Switzerland
| | - Franz X Vollenweider
- Department of Psychiatry, Psychotherapy and Psychosomatics, University Hospital for Psychiatry Zurich, Zurich, Switzerland
| | - William J Martin
- The Janssen Pharmaceutical Companies of Johnson and Johnson, San Francisco, United States
| | - Grega Repovš
- Department of Psychiatry, University of Zagreb, Zagreb, Croatia
| | - John D Murray
- Department of Psychiatry, Yale University School of Medicine, New Haven, United States.,Interdepartmental Neuroscience Program, Yale University School of Medicine, New Haven, United States.,Department of Physics, Yale University, New Haven, United States
| | - Alan Anticevic
- Department of Psychiatry, Yale University School of Medicine, New Haven, United States.,Interdepartmental Neuroscience Program, Yale University School of Medicine, New Haven, United States.,Department of Psychology, Yale University School of Medicine, New Haven, United States
| |
Collapse
|
17
|
Barnes-Scheufler CV, Passow C, Rösler L, Mayer JS, Oertel V, Kittel-Schneider S, Matura S, Reif A, Bittner RA. Transdiagnostic comparison of visual working memory capacity in bipolar disorder and schizophrenia. Int J Bipolar Disord 2021; 9:12. [PMID: 33797645 PMCID: PMC8018920 DOI: 10.1186/s40345-020-00217-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Accepted: 12/22/2020] [Indexed: 02/23/2023] Open
Abstract
BACKGROUND Impaired working memory is a core cognitive deficit in both bipolar disorder and schizophrenia. Its study might yield crucial insights into the underpinnings of both disorders on the cognitive and neurophysiological level. Visual working memory capacity is a particularly promising construct for such translational studies. However, it has not yet been investigated across the full spectrum of both disorders. The aim of our study was to compare the degree of reductions of visual working memory capacity in patients with bipolar disorder (PBD) and patients with schizophrenia (PSZ) using a paradigm well established in cognitive neuroscience. METHODS 62 PBD, 64 PSZ, and 70 healthy controls (HC) completed a canonical visual change detection task. Participants had to encode the color of four circles and indicate after a short delay whether the color of one of the circles had changed or not. We estimated working memory capacity using Pashler's K. RESULTS Working memory capacity was significantly reduced in both PBD and PSZ compared to HC. We observed a small effect size (r = .202) for the difference between HC and PBD and a medium effect size (r = .370) for the difference between HC and PSZ. Working memory capacity in PSZ was also significantly reduced compared to PBD with a small effect size (r = .201). Thus, PBD showed an intermediate level of impairment. CONCLUSIONS These findings provide evidence for a gradient of reduced working memory capacity in bipolar disorder and schizophrenia, with PSZ showing the strongest degree of impairment. This underscores the importance of disturbed information processing for both bipolar disorder and schizophrenia. Our results are compatible with the cognitive manifestation of a neurodevelopmental gradient affecting bipolar disorder to a lesser degree than schizophrenia. They also highlight the relevance of visual working memory capacity for the development of both behavior- and brain-based transdiagnostic biomarkers.
Collapse
Affiliation(s)
- Catherine V Barnes-Scheufler
- Department of Psychiatry, Psychosomatic Medicine, and Psychotherapy, University Hospital Frankfurt, Goethe University, Heinrich-Hoffmann-Str. 10, 60528, Frankfurt am Main, Germany
| | - Caroline Passow
- Department of Psychiatry, Psychosomatic Medicine, and Psychotherapy, University Hospital Frankfurt, Goethe University, Heinrich-Hoffmann-Str. 10, 60528, Frankfurt am Main, Germany
| | - Lara Rösler
- Department of Psychiatry, Psychosomatic Medicine, and Psychotherapy, University Hospital Frankfurt, Goethe University, Heinrich-Hoffmann-Str. 10, 60528, Frankfurt am Main, Germany.,Netherlands Institute for Neuroscience, Amsterdam, The Netherlands
| | - Jutta S Mayer
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Frankfurt, Goethe University, Frankfurt am Main, Germany
| | - Viola Oertel
- Department of Psychiatry, Psychosomatic Medicine, and Psychotherapy, University Hospital Frankfurt, Goethe University, Heinrich-Hoffmann-Str. 10, 60528, Frankfurt am Main, Germany
| | - Sarah Kittel-Schneider
- Department of Psychiatry, Psychosomatic Medicine, and Psychotherapy, University Hospital Frankfurt, Goethe University, Heinrich-Hoffmann-Str. 10, 60528, Frankfurt am Main, Germany.,Department of Psychiatry, Psychosomatic Medicine, and Psychotherapy, University Hospital Würzburg, Würzburg, Germany
| | - Silke Matura
- Department of Psychiatry, Psychosomatic Medicine, and Psychotherapy, University Hospital Frankfurt, Goethe University, Heinrich-Hoffmann-Str. 10, 60528, Frankfurt am Main, Germany
| | - Andreas Reif
- Department of Psychiatry, Psychosomatic Medicine, and Psychotherapy, University Hospital Frankfurt, Goethe University, Heinrich-Hoffmann-Str. 10, 60528, Frankfurt am Main, Germany
| | - Robert A Bittner
- Department of Psychiatry, Psychosomatic Medicine, and Psychotherapy, University Hospital Frankfurt, Goethe University, Heinrich-Hoffmann-Str. 10, 60528, Frankfurt am Main, Germany. .,Ernst Strüngmann Institute for Neuroscience (ESI) in Cooperation with Max Planck Society, Frankfurt am Main, Germany.
| |
Collapse
|
18
|
Chakrabarty T, Torres IJ, Su WW, Sawatzky R, Keramatian K, Yatham LN. Cognitive subgroups in first episode bipolar I disorder: Relation to clinical and brain volumetric variables. Acta Psychiatr Scand 2021; 143:151-161. [PMID: 33089491 DOI: 10.1111/acps.13245] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Revised: 09/17/2020] [Accepted: 10/08/2020] [Indexed: 12/16/2022]
Abstract
OBJECTIVE Distinct cognitive subgroups are seen in patients with long duration bipolar I disorder (BDI), possibly reflective of underlying pathophysiological differences. It is unknown whether such cognitive heterogeneity is present at illness onset. We applied latent class analysis (LCA) to cognitive test scores in first episode BDI patients. Exploratory analysis elucidated whether impaired subgroups were characterized by 'early neurodevelopmental' (low premorbid IQ and intracranial volume) versus 'later neurodevelopmental' (decline from premorbid to current IQ, changes in relative grey (GM)/white (WM) matter volumes) pathology. METHODS Recently recovered first manic episode BDI patients (n = 91) and healthy controls (HC, n = 63) comprised the study sample. LCA identified subgroups based on processing speed, verbal memory, non-verbal memory, executive functioning, attention and working memory scores. Subgroups were compared amongst each other and HC on premorbid/current IQ, intracranial (ICV), total brain and regional volumes. RESULTS Three cognitive subgroups emerged: (i) globally impaired (GI, n = 31), scoring 0.5-1 SD below demographically corrected norms across domains, (ii) selectively impaired (SI, n = 47), with predominant processing speed deficits and (iii) high performing (HP, n = 13), with above-average cognitive performance. GI patients showed a 'later neurodevelopmental' pattern, with normal ICV, significant decline from premorbid to current IQ, higher total GM and lower total WM (with respect to total brain volume) versus SI and HC (p = 0.003). GI patients had higher left frontal pole GM versus HC (p < 0.05, FWE corrected). CONCLUSIONS A globally impaired patient subgroup is identifiable in first episode BDI, possibly characterized by unique neurodevelopmental pathologic processes proximal to illness onset.
Collapse
Affiliation(s)
- Trisha Chakrabarty
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Ivan J Torres
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada.,British Columbia Mental Health and Substance Use Services, Vancouver, BC, Canada
| | - Weizhong W Su
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Richard Sawatzky
- School of Nursing, Trinity Western University, Langley, BC, Canada.,Centre for Health Evaluation and Outcome Sciences, Vancouver, BC, Canada
| | - Kamyar Keramatian
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Lakshmi N Yatham
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| |
Collapse
|
19
|
De la Serna E, Camprodon-Boadas P, Ilzarbe D, Sugranyes G, Baeza I, Moreno D, Díaz-Caneja CM, Rosa-Justicia M, Llorente C, Ayora M, Borras R, Torrent C, Bernardo M, Castro-Fornieles J. Neuropsychological development in the child and adolescent offspring of patients diagnosed with schizophrenia or bipolar disorder: A two-year follow-up comparative study. Prog Neuropsychopharmacol Biol Psychiatry 2020; 103:109972. [PMID: 32454164 DOI: 10.1016/j.pnpbp.2020.109972] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2020] [Revised: 05/18/2020] [Accepted: 05/18/2020] [Indexed: 02/06/2023]
Abstract
UNLABELLED There has been growing scientific evidence in recent years that schizophrenia and bipolar disorder share clinical, cognitive, neuroimaging and genetic characteristics. This overlap might also be present in their offspring, who have an increased risk of developing both disorders. Comparing the characteristics of these samples may have important implications for understanding etiological processes. This study aimed to assess the development of cognitive functions over two years in a sample of child and adolescent offspring of patients diagnosed with schizophrenia (SZoff) or bipolar disorder (BDoff), comparing them with a community control group (CCoff). METHODS 90 BDoff, 41 SZoff and 107 CCoff aged between 6 and 17 years were included at baseline. At the two-year follow-up, 84.9% of the sample was re-assessed (78 BDoff, 32 SZoff and 92 CCoff). All subjects were assessed with a comprehensive neuropsychological test battery at baseline and at the two-year follow-up to evaluate: intelligence quotient, working memory, processing speed, verbal memory and learning, visual memory, executive functions and sustained attention. RESULTS Processing speed, verbal memory and executive functions showed different developmental patterns among the SZoff, BDoff and CCoff groups. The SZoff group maintained baseline performances in the three variables over time, while the BDoff group presented improved processing speed and executive functioning and the CCoff group showed improvements in verbal memory and executive functions at follow-up. CONCLUSIONS These findings suggest that the development of some cognitive functions might differ between child and adolescent SZoff and BDoff, indicating different trajectories during neurodevelopment.
Collapse
Affiliation(s)
- E De la Serna
- Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Spain; Department of Child and Adolescent Psychiatry and Psychology, Institut Clinic de Neurociències, Hospital Clínic Universitari, Barcelona 2017SGR881, Spain.
| | - P Camprodon-Boadas
- Department of Child and Adolescent Psychiatry and Psychology, Institut Clinic de Neurociències, Hospital Clínic Universitari, Barcelona 2017SGR881, Spain; Fundació Clínic per a la Recerca Biomèdica, Barcelona, Spain
| | - D Ilzarbe
- Department of Child and Adolescent Psychiatry and Psychology, Institut Clinic de Neurociències, Hospital Clínic Universitari, Barcelona 2017SGR881, Spain; Department of Child Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom; Department of Psychiatry, Universitair Medisch Centrum Utrecht, Utrecht, the Netherlands; Institut d'Investigació Biomèdica August Pi i Sunyer, IDIBAPS, Barcelona, Spain
| | - G Sugranyes
- Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Spain; Department of Child and Adolescent Psychiatry and Psychology, Institut Clinic de Neurociències, Hospital Clínic Universitari, Barcelona 2017SGR881, Spain; Institut d'Investigació Biomèdica August Pi i Sunyer, IDIBAPS, Barcelona, Spain
| | - I Baeza
- Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Spain; Department of Child and Adolescent Psychiatry and Psychology, Institut Clinic de Neurociències, Hospital Clínic Universitari, Barcelona 2017SGR881, Spain; Institut d'Investigació Biomèdica August Pi i Sunyer, IDIBAPS, Barcelona, Spain; Department of Medicine, University of Barcelona, Spain
| | - D Moreno
- Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Spain; Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid, Spain
| | - C M Díaz-Caneja
- Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Spain; Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid, Spain
| | - M Rosa-Justicia
- Department of Child and Adolescent Psychiatry and Psychology, Institut Clinic de Neurociències, Hospital Clínic Universitari, Barcelona 2017SGR881, Spain; Institut d'Investigació Biomèdica August Pi i Sunyer, IDIBAPS, Barcelona, Spain
| | - C Llorente
- Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Spain; Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid, Spain
| | - M Ayora
- Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Spain; Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid, Spain
| | - R Borras
- Department of Child and Adolescent Psychiatry and Psychology, Institut Clinic de Neurociències, Hospital Clínic Universitari, Barcelona 2017SGR881, Spain; Institut d'Investigació Biomèdica August Pi i Sunyer, IDIBAPS, Barcelona, Spain
| | - C Torrent
- Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Spain; Institut d'Investigació Biomèdica August Pi i Sunyer, IDIBAPS, Barcelona, Spain; Department of Medicine, University of Barcelona, Spain; Bipolar and Depressive Disorders Unit, Institut Clinic de Neurociències, Hospital Clínic Universitari, Barcelona, Spain
| | - M Bernardo
- Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Spain; Institut d'Investigació Biomèdica August Pi i Sunyer, IDIBAPS, Barcelona, Spain; Department of Medicine, University of Barcelona, Spain; Barcelona Clínic Schizophrenia Unit, Institut Clinic de Neurociències, Hospital Clínic Universitari, Barcelona, Spain
| | - J Castro-Fornieles
- Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Spain; Department of Child and Adolescent Psychiatry and Psychology, Institut Clinic de Neurociències, Hospital Clínic Universitari, Barcelona 2017SGR881, Spain; Institut d'Investigació Biomèdica August Pi i Sunyer, IDIBAPS, Barcelona, Spain; Department of Medicine, University of Barcelona, Spain
| |
Collapse
|
20
|
Dwivedi Y. Cell-Type-Specific Transcriptomic Analysis in the Dorsolateral Prefrontal Cortex Reveals Distinct Mitochondrial Abnormalities in Schizophrenia and Bipolar Disorder. Am J Psychiatry 2020; 177:1107-1109. [PMID: 33256451 DOI: 10.1176/appi.ajp.2020.20101455] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Yogesh Dwivedi
- Mood Disorder Program, Depression and Suicide Center, and Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham
| |
Collapse
|
21
|
van Neerven T, Bos DJ, van Haren NE. Deficiencies in Theory of Mind in patients with schizophrenia, bipolar disorder, and major depressive disorder: A systematic review of secondary literature. Neurosci Biobehav Rev 2020; 120:249-261. [PMID: 33246019 DOI: 10.1016/j.neubiorev.2020.11.011] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2020] [Revised: 11/06/2020] [Accepted: 11/08/2020] [Indexed: 11/16/2022]
Abstract
Deficiencies in Theory of Mind (ToM) are consistently found in individuals with schizophrenia (SZ), major depressive disorder (MDD), and bipolar disorder (BD). However, the character of these deficits and their role in the pathogenesis of mental illness remains poorly understood. This systematic review synthesizes the available secondary literature pertaining to ToM functioning in individuals with MDD, BD, or SZ, and their respective spectrum disorders in order to delineate disorder or symptom specific patterns of ToM impairment. Literature suggests that ToM deficits increase in severity along the affective-psychotic spectrum, with mild deficits in patients with MDD, and severe deficits in patients with mania or psychosis. Furthermore, ToM deficits appear to be part of a broader developmental phenotype associated with SZ and BD, as suggested by findings of attenuated impairments in ToM in remitted patients with SZ or BD, unaffected first-degree relatives of patients, and clinical high-risk groups. Future psychiatric research on ToM should aim to disentangle relationships between ToM deficits and specific symptom dimensions transdiagnostically, and employ standardized, construct-specific ToM tasks.
Collapse
Affiliation(s)
- Thomas van Neerven
- University Medical Centre Utrecht - Brain Centre, Department of psychiatry, Utrecht, the Netherlands
| | - Dienke J Bos
- University Medical Centre Utrecht - Brain Centre, Department of psychiatry, Utrecht, the Netherlands
| | - Neeltje Em van Haren
- Erasmus Medical Center, Department of child and adolescent psychiatry/psychology, Rotterdam, the Netherlands.
| |
Collapse
|
22
|
Toyoshima K, Inoue T, Masuya J, Fujimura Y, Higashi S, Kusumi I. Associations among childhood parenting, affective temperaments, depressive symptoms, and cognitive complaints in adult community volunteers. J Affect Disord 2020; 276:361-368. [PMID: 32871666 DOI: 10.1016/j.jad.2020.07.107] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Revised: 05/28/2020] [Accepted: 07/06/2020] [Indexed: 12/19/2022]
Abstract
BACKGROUND Correlations between depressive symptoms and affective temperaments or quality of childhood parenting have been investigated previously; however, how childhood parenting and affective temperaments affect cognitive complaints remains unknown. Thus, we evaluated correlations among childhood parenting, affective temperaments, depressive symptoms, and cognitive complaints in adults. METHODS Participants (N = 490) completed the Parental Bonding Instrument (PBI), Temperament Evaluation of Memphis, Pisa, Paris, and San Diego Auto-questionnaire version (TEMPS-A), the Patient Health Questionnaire-9 (PHQ-9), and the Cognitive Complaints in Bipolar Disorder Rating Assessment (COBRA). Multiple regression analyses and structural equation modeling were performed to evaluate scale correlations. RESULTS As per structural equation modeling, the direct effect of PHQ-9 and four subscales (cyclothymic, depressive, irritable, and anxious temperament) of TEMPS-A on COBRA were significant; the indirect effect of the four subscales of TEMPS-A on COBRA via PHQ-9 was significant; the direct effect of the three subscales (paternal care, maternal care, and maternal overprotection) of PBI on PHQ-9 and four subscales of TEMPS-A were significant; the indirect effect of the three subscales of PBI on PHQ-9 via the four subscales of TEMPS-A was significant. LIMITATIONS Cross-sectional designs cannot identify causal relationships between parameters. As participants were adult volunteers from the community, results may not be generalizable to individuals with psychiatric disorders. CONCLUSIONS Childhood parenting affects cognitive complaints indirectly via affective temperaments and depressive symptoms in adult community volunteers. An important role of affective temperaments and depressive symptoms in the effects of childhood parenting on cognitive complaints is suggested.
Collapse
Affiliation(s)
- Kuniyoshi Toyoshima
- Department of Psychiatry, Graduate School of Medicine, Hokkaido University, Sapporo, Japan.
| | - Takeshi Inoue
- Department of Psychiatry, Tokyo Medical University, Shinjuku-ku, Tokyo 160-0023, Japan
| | - Jiro Masuya
- Department of Psychiatry, Tokyo Medical University, Shinjuku-ku, Tokyo 160-0023, Japan
| | - Yota Fujimura
- Department of Psychiatry, Tokyo Medical University, Shinjuku-ku, Tokyo 160-0023, Japan
| | - Shinji Higashi
- Department of Psychiatry, Tokyo Medical University, Shinjuku-ku, Tokyo 160-0023, Japan; Department of Psychiatry, Ibaraki Medical Center, Tokyo Medical University, Ami-machi, Inashiki-gun, Ibaraki 300-0395, Japan
| | - Ichiro Kusumi
- Department of Psychiatry, Graduate School of Medicine, Hokkaido University, Sapporo, Japan
| |
Collapse
|
23
|
Tsapekos D, Strawbridge R, Mantingh T, Cella M, Wykes T, Young AH. Role of cognitive reserve in cognitive variability in euthymic individuals with bipolar disorder: cross-sectional cluster analysis. BJPsych Open 2020; 6:e133. [PMID: 33121561 PMCID: PMC7745228 DOI: 10.1192/bjo.2020.111] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Abstract
BACKGROUND People with bipolar disorder have moderate cognitive difficulties that tend to be more pronounced during mood episodes but persist after clinical remission and affect recovery. Recent evidence suggests heterogeneity in these difficulties, but the factors underlying cognitive heterogeneity are unclear. AIMS To examine whether distinct cognitive profiles can be identified in a sample of euthymic individuals with bipolar disorder and examine potential differences between subgroups. METHOD Cognitive performance was assessed across four domains (i.e. processing speed, verbal learning/memory, working memory, executive functioning) in 80 participants. We conducted a hierarchical cluster analysis and a discriminant function analysis to identify cognitive profiles and considered differences in cognitive reserve, estimated cognitive decline from premorbid cognitive functioning, and clinical characteristics among subgroups. RESULTS Four discrete cognitive profiles were identified: cognitively intact (n = 25; 31.3%); selective deficits in verbal learning and memory (n = 15; 18.8%); intermediate deficits across all cognitive domains (n = 30; 37.5%); and severe deficits across all domains (n = 10; 12.5%). Cognitive decline after illness onset was greater for the intermediate and severe subgroups. Cognitive reserve scores were increasingly lower for subgroups with greater impairments. A smaller proportion of cognitively intact participants were using antipsychotic medications compared with all other subgroups. CONCLUSIONS Our findings suggest that individuals with cognitively impaired profiles demonstrate more cognitive decline after illness onset. Cognitive reserve may be one of the factors underlying cognitive variability across people with bipolar disorder. Patients in the intermediate and severe subgroups may be in greater need of interventions targeting cognitive difficulties.
Collapse
Affiliation(s)
- Dimosthenis Tsapekos
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Rebecca Strawbridge
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Tim Mantingh
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Matteo Cella
- Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London; and South London & Maudsley NHS Foundation Trust, Maudsley Hospital, London, UK
| | - Til Wykes
- Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London; and South London & Maudsley NHS Foundation Trust, Maudsley Hospital, London, UK
| | - Allan H Young
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London; and South London & Maudsley NHS Foundation Trust, Maudsley Hospital, London, UK
| |
Collapse
|
24
|
The Dutch Bipolar Offspring Study: Cognitive Development and Psychopathology. JOURNAL OF ABNORMAL CHILD PSYCHOLOGY 2020; 47:1559-1567. [PMID: 30887148 DOI: 10.1007/s10802-019-00532-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
Various aspects of the relationship between cognitive impairment and bipolar disorder are not clear yet. This study examines cognitive and educational functioning prospectively in offspring at familial risk for bipolar disorder, in order to improve our understanding of the association between cognitive functioning and psychopathology. Bipolar offspring (N = 92) from the prospective Dutch bipolar offspring study were evaluated at adolescence and adulthood for IQ estimate, educational achievement and development of any psychiatric disorder. The main outcome was IQ estimate after 12 years of follow-up (offspring mean age 28 years). Generalized estimating equation (GEE) analyses showed that any lifetime DSM-IV axis I diagnosis was related to a lower cognitive outcome at adulthood as compared to unaffected bipolar offspring. No specific association was found for type of diagnosis. Early onset psychopathology (diagnosis at or before age 15 years) was significantly related to lower IQ estimate at adulthood, indicating a sensitive period for neurocognitive development.
Collapse
|
25
|
Cognitive Heterogeneity across Schizophrenia and Bipolar Disorder: A Cluster Analysis of Intellectual Trajectories. J Int Neuropsychol Soc 2020; 26:860-872. [PMID: 32423506 DOI: 10.1017/s1355617720000442] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
OBJECTIVE Cognitive dysfunction cut across diagnostic categories and is present in both schizophrenia and bipolar disorder, although with considerable heterogeneity in both disorders. This study examined if distinct cognitive subgroups could be identified across schizophrenia and bipolar disorder based on the intellectual trajectory from the premorbid phase to after illness onset. METHOD Three hundred and ninety-eight individuals with schizophrenia (n = 223) or bipolar I disorder (n = 175) underwent clinical and neuropsychological assessment. Hierarchical and k-means cluster analyses using premorbid (National Adult Reading Test) and current IQ (Wechsler Abbreviated Scale of Intelligence) estimates were performed for each diagnostic category, and the whole sample collapsed. Resulting clusters were compared on neuropsychological, functional, and clinical variables. Healthy controls (n = 476) were included for analyses of neuropsychological performance. RESULTS Cluster analyses consistently yielded three clusters: a relatively intact group (36% of whole sample), an intermediate group with mild cognitive impairment (44%), and an impaired group with global deficits (20%). The clusters were validated by multinomial logistic regression and differed significantly for neuropsychological, functional, and clinical measures. The relatively intact group (32% of the schizophrenia sample and 42% of the bipolar sample) performed below healthy controls for speeded neuropsychological tests. CONCLUSIONS Three cognitive clusters were identified across schizophrenia and bipolar disorder using premorbid and current IQ estimates. Groups differed for clinical, functional, and neuropsychological variables, implying their meaningfulness. One-third of the schizophrenia sample belonged to the relatively intact group, highlighting that neuropsychological assessment is needed for the precise characterization of the individual.
Collapse
|
26
|
Ceylan D, Akdede BB, Bora E, Aktener AY, Hıdıroğlu Ongun C, Tunca Z, Alptekin K, Özerdem A. Neurocognitive functioning during symptomatic states and remission in bipolar disorder and schizophrenia: A comparative study. Psychiatry Res 2020; 292:113292. [PMID: 32707217 DOI: 10.1016/j.psychres.2020.113292] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2019] [Revised: 06/21/2020] [Accepted: 07/10/2020] [Indexed: 01/04/2023]
Abstract
Aims Patients with bipolar disorder present milder cognitive impairment in comparison to patients with schizophrenia. Psychotic symptoms are associated with poorer cognitive functioning in both disorders. We aim to compare cognitive dysfunction between bipolar disorder and schizophrenia across symptomatic and remitted states. Methods An extensive cognitive battery was used to assess bipolar disorder patients (32 in manic episodes with psychotic features, 44 in euthymia), patients with schizophrenia (41 symptomatic, 39 remitted), and 55 healthy controls. A global cognitive factor and six neurocognitive domain factors were identified using principal component analyses. Results Global cognition components differed according to both illness and remission status; working memory differed according to remission status regardless of diagnosis; verbal fluency differed according to diagnosis regardless of remission status. An omnibus F test revealed that the remission state had a significant impact on processing speed in schizophrenia. Conclusion Our data suggest that both disorders are associated with state dependent (i.e., global cognition and working memory) and diagnosis dependent (i.e., global cognition and verbal fluency) neurocognitive dysfunctions. Processing speed was exclusively influenced by symptomatic states of schizophrenia.
Collapse
Affiliation(s)
- Deniz Ceylan
- Koç University, Faculty of Medicine, Department of Psychiatry, Istanbul, Turkey; Izmir University of Economics, Department of Psychiatry, Izmir, Turkey.
| | - Berna Binnur Akdede
- Izmir University of Economics, Department of Psychiatry, Izmir, Turkey; Dokuz Eylül University, Faculty of Medicine, Department of Psychiatry, Izmir, Turkey
| | - Emre Bora
- Dokuz Eylül University, Faculty of Medicine, Department of Psychiatry, Izmir, Turkey; Department of Psychiatry, Melbourne Neuropsychiatry Centre, University of Melbourne and Melbourne Health, Carlton South, Victoria 3053, Australia
| | | | | | - Zeliha Tunca
- Dokuz Eylül University, Faculty of Medicine, Department of Psychiatry, Izmir, Turkey
| | - Köksal Alptekin
- Izmir University of Economics, Department of Psychiatry, Izmir, Turkey; Dokuz Eylül University, Faculty of Medicine, Department of Psychiatry, Izmir, Turkey
| | - Ayşegül Özerdem
- Mayo Clinic, Department of Psychiatry and Psychology, 200 First Street SW, Rochester, MN 55905, USA
| |
Collapse
|
27
|
Tsapekos D, Strawbridge R, Cella M, Wykes T, Young AH. Do we really need a "new" cognitive therapy for bipolar disorder? Paradigm refinements and treatment mechanisms for cognitive remediation. Bipolar Disord 2020; 22:213-215. [PMID: 31965658 DOI: 10.1111/bdi.12890] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
- Dimosthenis Tsapekos
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Rebecca Strawbridge
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Matteo Cella
- Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.,South London & Maudsley NHS Foundation Trust, Maudsley Hospital, London, UK
| | - Til Wykes
- Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.,South London & Maudsley NHS Foundation Trust, Maudsley Hospital, London, UK
| | - Allan H Young
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.,South London & Maudsley NHS Foundation Trust, Maudsley Hospital, London, UK
| |
Collapse
|
28
|
Fett AKJ, Velthorst E, Reichenberg A, Ruggero CJ, Callahan JL, Fochtmann LJ, Carlson GA, Perlman G, Bromet EJ, Kotov R. Long-term Changes in Cognitive Functioning in Individuals With Psychotic Disorders: Findings From the Suffolk County Mental Health Project. JAMA Psychiatry 2020; 77:387-396. [PMID: 31825511 PMCID: PMC6990826 DOI: 10.1001/jamapsychiatry.2019.3993] [Citation(s) in RCA: 82] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
IMPORTANCE It remains uncertain whether people with psychotic disorders experience progressive cognitive decline or normal cognitive aging after first hospitalization. This information is essential for prognostication in clinical settings, deployment of cognitive remediation, and public health policy. OBJECTIVE To examine long-term cognitive changes in individuals with psychotic disorders and to compare age-related differences in cognitive performance between people with psychotic disorders and matched control individuals (ie, individuals who had never had psychotic disorders). DESIGN, SETTING, AND PARTICIPANTS The Suffolk County Mental Health Project is an inception cohort study of first-admission patients with psychosis. Cognitive functioning was assessed 2 and 20 years later. Patients were recruited from the 12 inpatient facilities of Suffolk County, New York. At year 20, the control group was recruited by random digit dialing and matched to the clinical cohort on zip code and demographics. Data were collected between September 1991 and July 2015. Analysis began January 2016. MAIN OUTCOMES AND MEASURES Change in cognitive functioning in 6 domains: verbal knowledge (Wechsler Adult Intelligence Scale-Revised vocabulary test), verbal declarative memory (Verbal Paired Associates test I and II), visual declarative memory (Visual Reproduction test I and II), attention and processing speed (Symbol Digit Modalities Test-written and oral; Trail Making Test [TMT]-A), abstraction-executive function (Trenerry Stroop Color Word Test; TMT-B), and verbal fluency (Controlled Oral Word Association Test). RESULTS A total of 705 participants were included in the analyses (mean [SD] age at year 20, 49.4 [10.1] years): 445 individuals (63.1%) had psychotic disorders (211 with schizophrenia spectrum [138 (65%) male]; 164 with affective psychoses [76 (46%) male]; 70 with other psychoses [43 (61%) male]); and 260 individuals (36.9%) in the control group (50.5 [9.0] years; 134 [51.5%] male). Cognition in individuals with a psychotic disorder declined on all but 2 tests (average decline: d = 0.31; range, 0.17-0.54; all P < .001). Cognitive declines were associated with worsening vocational functioning (Visual Reproduction test II: r = 0.20; Symbol Digit Modalities Test-written: r = 0.25; Stroop: r = 0.24; P < .009) and worsening negative symptoms (avolition: Symbol Digit Modalities Test-written: r = -0.24; TMT-A: r = -0.21; Stroop: r = -0.21; all P < .009; inexpressivity: Stroop: r = -0.22; P < .009). Compared with control individuals, people with psychotic disrders showed age-dependent deficits in verbal knowledge, fluency, and abstraction-executive function (vocabulary: β = -0.32; Controlled Oral Word Association Test: β = -0.32; TMT-B: β = 0.23; all P < .05), with the largest gap among participants 50 years or older. CONCLUSIONS AND RELEVANCE In individuals with psychotic disorders, most cognitive functions declined over 2 decades after first hospitalization. Observed declines were clinically significant. Some declines were larger than expected due to normal aging, suggesting that cognitive aging in some domains may be accelerated in this population. If confirmed, these findings would highlight cognition as an important target for research and treatment during later phases of psychotic illness.
Collapse
Affiliation(s)
- Anne-Kathrin J. Fett
- Department of Psychology, City, University of London, London, United Kingdom,Institute of Psychiatry, Psychology and Neuroscience, Department of Psychosis Studies, King’s College London, London, United Kingdom,Department of Clinical and Developmental Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Eva Velthorst
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York,Seaver Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Abraham Reichenberg
- Institute of Psychiatry, Psychology and Neuroscience, Department of Psychosis Studies, King’s College London, London, United Kingdom,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York,Seaver Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, New York
| | | | | | | | | | - Greg Perlman
- Department of Psychiatry, Stony Brook University, Stony Brook, New York
| | - Evelyn J. Bromet
- Department of Psychiatry, Stony Brook University, Stony Brook, New York
| | - Roman Kotov
- Department of Psychiatry, Stony Brook University, Stony Brook, New York
| |
Collapse
|
29
|
Bora E. A comparative meta-analysis of neurocognition in first-degree relatives of patients with schizophrenia and bipolar disorder. Eur Psychiatry 2020; 45:121-128. [DOI: 10.1016/j.eurpsy.2017.06.003] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2017] [Revised: 06/12/2017] [Accepted: 06/13/2017] [Indexed: 12/29/2022] Open
Abstract
AbstractObjective:Cognitive impairment is a familial and heritable aspect of major psychoses and might be a shared vulnerability marker for schizophrenia and BP. However, it is not clear whether some aspects of cognitive deficits are uniquely associated with risk for specific diagnoses.Methods:A novel meta-analysis of cognitive functions in first-degree relatives of probands with bipolar disorder (BP-Rel) and schizophrenia (Sch-Rel) was conducted. Current meta-analysis included 20 studies and compared cognitive functions of 1341 Sch-Rel, 939 BP-Rel and 1427 healthy controls.Results:Sch-Rel was associated with cognitive deficits in all domains (d = 0.20–0.58) and BP-Rel underperformed healthy controls in processing speed, verbal fluency and speed based executive function tests (d = 0.33–0.41). Sch-Rel underperformed BP-Rel in general intellectual ability, working memory, verbal memory, planning, processing speed and fluency (d = 0.24–0.42).Conclusions:Inefficiency in processing information and impaired processing speed might be common vulnerability factors for major psychoses. On the other hand, low performance in accuracy based tasks and deficits in general intellectual ability, verbal learning, planning and working memory might be more specifically associated with risk for schizophrenia.
Collapse
|
30
|
Bora E, Özerdem A. A meta-analysis of neurocognition in youth with familial high risk for bipolar disorder. Eur Psychiatry 2020; 44:17-23. [DOI: 10.1016/j.eurpsy.2017.02.483] [Citation(s) in RCA: 51] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/31/2016] [Revised: 02/11/2017] [Accepted: 02/12/2017] [Indexed: 12/11/2022] Open
Abstract
AbstractObjective:Neuropsychological impairment, including deficits in social cognition is evident in subjects at genetic high-risk for psychosis. However, findings in youth at genetic risk to bipolar disorder (BP) have been suggested to be less supportive of premorbid deficits. We aimed to conduct a meta-analysis of cognitive deficits in youth with familiar risk for bipolar disorder (FHR-BD).Methods:A novel meta-analysis of FHR-BD (mean age 10–25), including 18 studies (786 offsprings/siblings of patients with BD and 794 healthy controls), was conducted.Results:Both general cognition (d = 0.29, CI = 0.15–0.44) and social cognition (d = 0.23, CI = 0–0.45) were impaired in FHR-BD. In comparison to controls, FHR-BD had significant deficits in several cognitive domains, including visual memory (d = 0.35), verbal memory (d = 0.21), processing speed (d = 0.26) and sustained attention (d = 0.36). There was no significant difference between FHR-BD and controls in planning and working memory.Conclusions:Cognitive deficits are evident in individuals who are at genetic high-risk for developing BD. Neurodevelopmental abnormalities are likely playing a role not only in schizophrenia but also in BD.
Collapse
|
31
|
Neurodevelopmental pathways in bipolar disorder. Neurosci Biobehav Rev 2020; 112:213-226. [PMID: 32035092 DOI: 10.1016/j.neubiorev.2020.02.005] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2019] [Revised: 01/03/2020] [Accepted: 02/04/2020] [Indexed: 12/14/2022]
Abstract
Aberrations in neurodevelopmental trajectories have been implicated in the neurobiology of several mental disorders and evidence indicates a pathophysiological and genetic overlap of schizophrenia and bipolar disorder (BD). In this narrative review, we summarize findings related to developmental and perinatal factors as well as epidemiological, clinical, neuropsychological, brain imaging, postmortem brain and genomic studies that provide evidence for a putative neurodevelopmental pathogenesis and etiology of BD. Overall, aberrations in neurodevelopmental pathways have been more consistently implicated in the pathophysiology of schizophrenia compared to BD. Nevertheless, an accumulating body of evidence indicates that dysfunctional neurodevelopmental pathways may be implicated in the underlying pathophysiology of at least a subset of individuals with BD particularly those with an early age of illness onset and those exhibiting psychotic symptoms. A heuristic neurodevelopmental model for the pathophysiology of BD based on the findings of this review is proposed. Furthermore, we critically discuss clinical and research implications of this model. Finally, further research directions for this emerging field are provided.
Collapse
|
32
|
Can G, Bora E, Ildız A, Ulas G, Ongun CH, Sprooten E, Frangou S, Inal NE, Ozerdem A. Neurocognition in young offspring of individuals with bipolar disorder: The role of co-existing familial and clinical high-risk for bipolar disorder. Psychiatry Res 2019; 281:112565. [PMID: 31586839 DOI: 10.1016/j.psychres.2019.112565] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2019] [Revised: 09/10/2019] [Accepted: 09/12/2019] [Indexed: 12/01/2022]
Abstract
Bipolar disorder (BD) is associated with cognitive dysfunction which has also been reported in offspring of individuals with BD (BDoff). However, it remains unclear whether cognitive underperformance in BDoff is associated with the presence of history of subclinical syndromes associated with risk for BD. To address this knowledge gap we assessed executive function, visual and verbal memory, working memory, processing speed and verbal fluency in 21 offspring with clinical high risk (CHR; BDoff+CHR), 54 offspring without CHR (BDoff-non-CHR), and 50 healthy individuals without familial risk of BD. BDoff underperformed compared to controls in most cognitive tasks. There was no significant neurocognitive difference between BDoff+CHR and BDoff-non-CHR except in the fluency/central executive domain (Cohen's d = 0.60, p = 0.03). Our results suggest that cognitive dysfunction in multiple domains is associated with familial predisposition to BD regardless of CHR status. On the other hand, abnormalities in central executive processes might be more pronounced in BDoff+CHR than BDoff-non-CHR. Further longitudinal studies investigating cognitive trajectory of BDoff and its interaction with the emergence of subclinical syndromes are needed to fully characterize the relationship between cognition and mood dysregulation in BD.
Collapse
Affiliation(s)
- Gunes Can
- Department of Psychiatry, Mardin State Hospital, Mardin, Turkey
| | - Emre Bora
- Dokuz Eylul University, Faculty of Medicine, Department of Psychiatry, Izmir, Turkey; Dokuz Eylul University, Institute of Neuroscience, Izmir, Turkey; Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne.
| | - Aysegul Ildız
- Dokuz Eylul University, Institute of Neuroscience, Izmir, Turkey
| | - Gozde Ulas
- Department of Child and Adolescent Psychiatry, Çankırı State Hospital, Çankırı, Turkey
| | | | - Emma Sprooten
- Radboud University, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, the Netherlands
| | - Sophia Frangou
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, United States
| | - Neslihan Emiroglu Inal
- Dokuz Eylul University Faculty of Medicine, Department of Child and Adolescent Psychiatry, Izmir, Turkey
| | - Aysegul Ozerdem
- Dokuz Eylul University, Faculty of Medicine, Department of Psychiatry, Izmir, Turkey; Dokuz Eylul University, Institute of Neuroscience, Izmir, Turkey; Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, United States
| |
Collapse
|
33
|
Bora E, Can G, Ildız A, Ulas G, Ongun CH, Inal NE, Ozerdem A. Neurocognitive heterogeneity in young offspring of patients with bipolar disorder: The effect of putative clinical stages. J Affect Disord 2019; 257:130-135. [PMID: 31301613 DOI: 10.1016/j.jad.2019.07.015] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2019] [Revised: 05/26/2019] [Accepted: 07/04/2019] [Indexed: 11/28/2022]
Abstract
BACKGROUND Bipolar disorder (BD) is associated with significant cognitive heterogeneity. In recent years, a number of studies have investigated cognitive subgroups in BD using data-driven methods and found that BD includes several subgroups including a severely impaired and a neurocognitively intact cluster. Studies in offspring of BD (BDoff) are particularly important to establish the timing of emergence of cognitive subgroups but studies investigating cognitive heterogeneity in BDoff are lacking. Our aim was to investigate cognitive heterogeneity in BDoff and the relationship between cognitive heterogeneity and putative clinical stages of BD. METHODS Seventy-one euthymic BDoff and 50 healthy controls were assessed using clinical measures and a battery of neuropsychological tests. Neurocognitive subgroups were investigated using latent class analysis. RESULTS Three neurocognitive subgroups, including a severe impairment group, a good performance cluster, and a subgroup characterized by intermediate/selective impairment was found. Both severe and intermediate level impairment subgroups underperformed healthy controls in processing speed, verbal fluency, visual memory and working memory. Deficits in verbal memory and executive functions were only evident in severe impairment subgroup. The putative stage of the illness had no significant effect on cognitive clustering of BDoff. Trait impulsivity scores were significantly increased in severe and intermediate impairment clusters but not in the cognitively good functioning subgroup of BDoff. LIMITATIONS The cross-sectional nature of the study was the main consideration. CONCLUSION These results suggest that cognitive heterogeneity is premorbid characteristic of BD and cognitive subgroups of BDoff emerge prior to the onset of illness and prodromal symptoms.
Collapse
Affiliation(s)
- Emre Bora
- Department of Psychiatry, Faculty of Medicine, Dokuz Eylul University, Mithatpaşa Cad. No:1606 Inciraltı Yerleskesi 35340 Balcova, Izmir, Turkey; Department of Neuroscience, Institute of Health Sciences, Dokuz Eylul University, Izmir, Turkey; Department of Psychiatry, Melbourne Neuropsychiatry Centre, University of Melbourne, Australia.
| | - Gunes Can
- Department of Psychiatry, Mardin State Hospital, Mardin, Turkey
| | - Aysegul Ildız
- Department of Neuroscience, Institute of Health Sciences, Dokuz Eylul University, Izmir, Turkey
| | - Gozde Ulas
- Department of Child and Adolescent Psychiatry, Çankırı State Hospital, Çankırı, Turkey
| | | | - Neslihan Emiroglu Inal
- Department of Child and Adolescent Psychiatry, Dokuz Eylul University Faculty of Medicine, Izmir, Turkey
| | - Aysegul Ozerdem
- Department of Psychiatry, Faculty of Medicine, Dokuz Eylul University, Mithatpaşa Cad. No:1606 Inciraltı Yerleskesi 35340 Balcova, Izmir, Turkey; Department of Neuroscience, Institute of Health Sciences, Dokuz Eylul University, Izmir, Turkey; Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
| |
Collapse
|
34
|
Hanlon FM, Yeo RA, Shaff NA, Wertz CJ, Dodd AB, Bustillo JR, Stromberg SF, Lin DS, Abrams S, Liu J, Mayer AR. A symptom-based continuum of psychosis explains cognitive and real-world functional deficits better than traditional diagnoses. Schizophr Res 2019; 208:344-352. [PMID: 30711315 PMCID: PMC6544465 DOI: 10.1016/j.schres.2019.01.024] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2018] [Revised: 01/10/2019] [Accepted: 01/19/2019] [Indexed: 12/31/2022]
Abstract
BACKGROUND Patients with psychotic spectrum disorders share overlapping clinical/biological features, making it often difficult to separate them into a discrete nosology (i.e., Diagnostic and Statistical Manual of Mental Disorders [DSM]). METHODS The current study investigated whether a continuum classification scheme based on symptom burden would improve conceptualizations for cognitive and real-world dysfunction relative to traditional DSM nosology. Two independent samples (New Mexico [NM] and Bipolar and Schizophrenia Network on Intermediate Phenotypes [B-SNIP]) of patients with schizophrenia (NM: N = 93; B-SNIP: N = 236), bipolar disorder Type I (NM: N = 42; B-SNIP: N = 195) or schizoaffective disorder (NM: N = 15; B-SNIP: N = 148) and matched healthy controls (NM: N = 64; B-SNIP: N = 717) were examined. Linear regressions examined how variance differed as a function of classification scheme (DSM diagnosis, negative and positive symptom burden, or a three-cluster solution based on symptom burden). RESULTS Symptom-based classification schemes (continuous and clustered) accounted for a significantly larger portion of captured variance of real-world functioning relative to DSM diagnoses across both samples. The symptom-based classification schemes accounted for large percentages of variance for general cognitive ability and cognitive domains in the NM sample. However, in the B-SNIP sample, symptom-based classification schemes accounted for roughly equivalent variance as DSM diagnoses. A potential mediating variable across samples was the strength of the relationship between negative symptoms and impaired cognition. CONCLUSIONS Current results support suggestions that a continuum perspective of psychopathology may be more powerful for explaining real-world functioning than the DSM diagnostic nosology, whereas results for cognitive dysfunction were sample dependent.
Collapse
Affiliation(s)
- Faith M Hanlon
- The Mind Research Network/Lovelace Biomedical and Environmental Research Institute, 1101 Yale Blvd. NE, Albuquerque, NM 87106, USA.
| | - Ronald A Yeo
- Department of Psychology, University of New Mexico, 2001 Redondo S Dr., Albuquerque, NM 87106, USA.
| | - Nicholas A Shaff
- The Mind Research Network/Lovelace Biomedical and Environmental Research Institute, 1101 Yale Blvd. NE, Albuquerque, NM 87106, USA.
| | - Christopher J Wertz
- The Mind Research Network/Lovelace Biomedical and Environmental Research Institute, 1101 Yale Blvd. NE, Albuquerque, NM 87106, USA.
| | - Andrew B Dodd
- The Mind Research Network/Lovelace Biomedical and Environmental Research Institute, 1101 Yale Blvd. NE, Albuquerque, NM 87106, USA.
| | - Juan R Bustillo
- Department of Psychiatry, University of New Mexico School of Medicine, MSC09 5030, 1 University of New Mexico, Albuquerque, NM 87131, USA.
| | - Shannon F Stromberg
- Psychiatry and Behavioral Health Clinical Program, Presbyterian Healthcare System, 1325 Wyoming Blvd. NE, Albuquerque, NM 87112, USA.
| | - Denise S Lin
- Department of Psychiatry, University of New Mexico School of Medicine, MSC09 5030, 1 University of New Mexico, Albuquerque, NM 87131, USA.
| | - Swala Abrams
- Department of Psychiatry, University of New Mexico School of Medicine, MSC09 5030, 1 University of New Mexico, Albuquerque, NM 87131, USA.
| | - Jingyu Liu
- The Mind Research Network/Lovelace Biomedical and Environmental Research Institute, 1101 Yale Blvd. NE, Albuquerque, NM 87106, USA.
| | - Andrew R Mayer
- The Mind Research Network/Lovelace Biomedical and Environmental Research Institute, 1101 Yale Blvd. NE, Albuquerque, NM 87106, USA; Department of Psychology, University of New Mexico, 2001 Redondo S Dr., Albuquerque, NM 87106, USA; Department of Psychiatry, University of New Mexico School of Medicine, MSC09 5030, 1 University of New Mexico, Albuquerque, NM 87131, USA; Department of Neurology, University of New Mexico School of Medicine, MSC10 5620, 1 University of New Mexico, Albuquerque, NM 87131, USA.
| |
Collapse
|
35
|
Liang F, Li P. Characteristics of Cognitive in Children with Learning Difficulties. Transl Neurosci 2019; 10:141-146. [PMID: 31149359 PMCID: PMC6534053 DOI: 10.1515/tnsci-2019-0024] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2019] [Accepted: 04/08/2019] [Indexed: 11/15/2022] Open
Abstract
In order to explore the relationship between cognitive function in children with learning difficulties and social environment, this study uses the Wechsler Intelligence Scale and the self-made general environment questionnaire to investigate 185 children with learning difficulties and compares them with 185 normal children, and gives attention test to 50 children with learning difficulties. The results show that family environment has a certain influence on the children with learning difficulties, they have a significantly lower verbal intelligence quotient (VIQ), performance intelligence quotient (PIQ) and full scale intelligence quotient (FIQ), and the separation of VIQ and P IQ is common among them. As the children with learning difficulties grow older, their ability for abstract generalization tends to decline, which may be a characteristic of their intelligence development. This study aims to compare the functional differences in cortical regions between children with learning difficulties and children without from the perspective of cognitive neuropsychology, so as to provide effective assistance for children with learning difficulties.
Collapse
Affiliation(s)
- Feng Liang
- College of Healthy Management, Shangluo University, Shangluo, Shaanxi 726000, China
| | - Panpan Li
- College of Healthy Management, Shangluo University, Shangluo, Shaanxi 726000, China
| |
Collapse
|
36
|
Bora E, McIntyre RS, Ozerdem A. Neurococognitive and neuroimaging correlates of obesity and components of metabolic syndrome in bipolar disorder: a systematic review. Psychol Med 2019; 49:738-749. [PMID: 30326979 DOI: 10.1017/s0033291718003008] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
BACKGROUND Individuals with bipolar disorder (BD) have a higher prevalence of obesity and metabolic syndrome (MetS) compared with the general population. Obesity and MetS are associated with cognitive deficits and brain imaging abnormalities in the general population. Obesity and components of MetS might potentially associate with neuroimaging and neurocognitive findings in BD. METHODS A literature search of studies investigating the association between obesity (and other components of MetS) and neurocognitive and neuroimaging findings in BD was conducted. In addition to a systematic review, a random-effects meta-analysis was conducted when sufficient data were available. RESULTS Twenty-three studies were included in the current systematic review. Overweight/obese patients were significantly associated with impaired neurocognition compared normal weight individuals with BD (d = 0.37). The most robust association between obesity and cognitive deficits in BD was observed in the cognitive subdomain of executive functions (d = 0.61). There was also evidence for a significant relationship between cognitive impairment in BD and other components of MetS including hypertension, dyslipidemia, and diabetes. Overweight/obese individuals with BD had more pronounced brain imaging abnormalities than normal weight individuals with BD. CONCLUSIONS Obesity and related cardiovascular risk factors significantly are associated with more severe cognitive and brain imaging abnormalities in BD. Medical co-morbidities can potentially contribute to functional decline observed in some patients throughout the course of BD.
Collapse
Affiliation(s)
- Emre Bora
- Department of Psychiatry,Dokuz Eylul University School of Medicine,Izmir,Turkey
| | - Roger S McIntyre
- Department of Psychiatry,University of Toronto,Toronto, ON,Canada
| | - Aysegul Ozerdem
- Department of Psychiatry,Dokuz Eylul University School of Medicine,Izmir,Turkey
| |
Collapse
|
37
|
Rabelo-da-Ponte FD, Pessoa Gomes JM, Torres NL, Barbosa JIC, de Andrade GM, Macedo D, Ceppi B. Behavioral, affective, and cognitive alterations induced by individual and combined environmental stressors in rats. BRAZILIAN JOURNAL OF PSYCHIATRY 2019; 41:289-296. [PMID: 30892378 PMCID: PMC6804305 DOI: 10.1590/1516-4446-2018-0009] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/08/2018] [Accepted: 08/01/2018] [Indexed: 11/22/2022]
Abstract
OBJECTIVE To evaluate whether exposing rats to individual or combined environmental stressors triggers endophenotypes related to mood and anxiety disorders, and whether this effect depends on the nature of the behavior (i.e., innate or learned). METHODS We conducted a three-phase experimental protocol. In phase I (baseline), animals subjected to mixed schedule of reinforcement were trained to press a lever with a fixed interval of 1 minute and a limited hold of 3 seconds. On the last day of phase I, an open-field test was performed and the animals were divided into four experimental groups (n=8/group). In phase II (repeated stress), each group was exposed to either hot air blast (HAB), paradoxical sleep deprivation (PSD) or both (HAB+PSD group) on alternate days over a 10-day period. Control group animals were not exposed to stressors. In phase III (post-stress evaluation), behavior was analyzed on the first (short-term effects), third (mid-term effects), and fifth (long-term effects) days after repeated stress. RESULTS The PSD group presented operant hyperactivity, the HAB group presented spontaneous hypoactivity and anxiety, and the HAB+PSD group presented spontaneous hyperactivity, operant hypoactivity, impulsivity, loss of interest, and cognitive impairment. CONCLUSION A combination of environmental stressors (HAB and PSD) may induce endophenotypes related to bipolar disorder.
Collapse
Affiliation(s)
| | | | - Nathércia Lima Torres
- Departamento de Psicologia, Universidade Federal do Ceará (UFC), Fortaleza, CE, Brazil
| | | | - Geanne Matos de Andrade
- Laboratório de Neurociências e Comportamento, Departamento de Fisiologia e Farmacologia, UFC, Fortaleza, CE, Brazil
| | - Danielle Macedo
- Laboratório de Neurofarmacologia, Departamento de Fisiologia e Farmacologia, Núcleo de Pesquisa e Desenvolvimento de Medicamentos, UFC, Fortaleza, CE, Brazil.,Instituto Nacional de Ciência e Tecnologia Translacional em Medicina (INCT-TM), Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), Ribeirão Preto, SP, Brazil
| | - Bruno Ceppi
- Laboratório de Neurociências e Comportamento, Departamento de Fisiologia e Farmacologia, UFC, Fortaleza, CE, Brazil
| |
Collapse
|
38
|
Bora E, Akgül Ö, Ceylan D, Özerdem A. Neurological soft signs in bipolar disorder in comparison to healthy controls and schizophrenia: A meta-analysis. Eur Neuropsychopharmacol 2018; 28:1185-1193. [PMID: 30170709 DOI: 10.1016/j.euroneuro.2018.08.006] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2018] [Revised: 07/23/2018] [Accepted: 08/07/2018] [Indexed: 12/29/2022]
Abstract
Neurological soft signs (NSS) are subtle deficits in motor coordination, sensory integration, and sequencing of complex motor acts. Increased NSS is a well-established feature of patients with schizophrenia but a relatively smaller number of studies have investigated NSS in bipolar disorder (BD). Some authors but not others suggested that NSS can distinguish schizophrenia from BD. We conducted a meta-analysis of 18 studies to quantitatively review NSS in BD in comparison to schizophrenia and healthy controls. The current meta-analysis compared NSS scores of 725 BD patients and 634 healthy controls, and 391 BD and 471 schizophrenia patients. Patients with BD had significantly higher NSS scores (d = 1.14, CI = 0.89-1.44) than healthy controls and increased scores in BD was evident in all aspects of NSS (d = 0.88-0.99). BD was associated with a less severe increase in NSS compared to schizophrenia, however, between-group difference was modest (d = 0.42, CI = 0.18-0.65). The results of this meta-analysis demonstrated that BD is characterized by a robust increase in NSS which is only moderately less severe than schizophrenia. Increased NSS is a common feature of both disorders.
Collapse
Affiliation(s)
- Emre Bora
- Faculty of Medicine, Department of Psychiatry, Dokuz Eylül University, Mithatpaşa cad. no 1606 inciraltı yerleşkesi, 35340 Balçova, Izmir, Turkey; Department of Psychiatry, Melbourne Neuropsychiatry Centre, University of Melbourne and Melbourne Health, 3053 Carlton South, Victoria, Australia.
| | - Özge Akgül
- Department of Neurosciences, Health Sciences Institute, Dokuz Eylul University, Izmir, Turkey
| | - Deniz Ceylan
- Vocational School of Health Services, Izmir Economy University, Izmir Turkey
| | - Ayşegül Özerdem
- Faculty of Medicine, Department of Psychiatry, Dokuz Eylül University, Mithatpaşa cad. no 1606 inciraltı yerleşkesi, 35340 Balçova, Izmir, Turkey; Department of Neurosciences, Health Sciences Institute, Dokuz Eylul University, Izmir, Turkey
| |
Collapse
|
39
|
Torrent C, Reinares M, Martinez-Arán A, Cabrera B, Amoretti S, Corripio I, Contreras F, Sarró S, González-Pinto A, Lobo A, Cuesta MJ, Sánchez-Torres A, Bergé D, Castro-Fornieles J, Moreno C, Bernardo M, Vieta E. Affective versus non-affective first episode psychoses: A longitudinal study. J Affect Disord 2018; 238:297-304. [PMID: 29902733 DOI: 10.1016/j.jad.2018.06.005] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2018] [Revised: 05/31/2018] [Accepted: 06/01/2018] [Indexed: 12/23/2022]
Abstract
OBJECTIVE This study aimed to assess (1) whether there were clinical, neuropsychological and functional differences between and within affective and non-affective psychoses at baseline and two years-follow-up and (2) to explore clinical and neuropsychological predictors of psychosocial functioning in the whole sample. METHOD This is a subanalysis from a multicentre, naturalistic, longitudinal prospective study ('Phenotype-genotype and environmental interaction. Application of a predictive model in first psychotic episodes'). The sample consisted of 192 patients with a first psychotic episode (FEP): 142 with non-affective psychoses and 50 with affective psychoses. Student t-tests, paired t-tests, Pearson correlations, ANOVAs and regression analyses were performed. RESULTS At baseline, the groups differed in perseverative errors (WCST), Premorbid Adjustment Scale (PAS), family history of psychiatric disorder, negative (PANSS) and manic symptoms (YMRS). At two years follow-up, the groups differed in all the PANSS subscales and in depressive symptoms assessed by the MADRS. When the whole sample was considered, the regression model which best explained the estimated variance in functioning at follow-up (41%) was composed by PANSS total score and verbal fluency assessed by the FAS (COWAT). CONCLUSIONS We found clinical and neurocognitive differences at baseline which decreased in the follow-up. Reduced performances at baseline in executive functions in combination with symptom severity (PANSS) were predictors of FEP patients' poor functional outcome.
Collapse
Affiliation(s)
- C Torrent
- Barcelona Bipolar Disorders Program, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - M Reinares
- Barcelona Bipolar Disorders Program, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - A Martinez-Arán
- Barcelona Bipolar Disorders Program, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - B Cabrera
- Barcelona Clínic Schizophrenia Unit, Hospital Clinic de Barcelona, CIBERSAM, Barcelona, Spain
| | - S Amoretti
- Barcelona Clínic Schizophrenia Unit, Hospital Clinic de Barcelona, CIBERSAM, Barcelona, Spain
| | - I Corripio
- Department of Psychiatry, Biomedical Research Institute Sant Pau (IIB-SANT PAU), Santa Creu and Sant Pau Hospital; Autonomous University of Barcelona (UAB), CIBERSAM, Barcelona, Spain
| | - F Contreras
- Psychiatry Department, Bellvitge University Hospital-IDIBELL, Barcelona, Spain; Department of Clinical Sciences, School of Medicine, University of Barcelona, Barcelona, Spain
| | - S Sarró
- FIDMAG Research Foundation Germanes Hospitalàries, CIBERSAM, Barcelona, Spain
| | - A González-Pinto
- Department of Psychiatry, University Hospital of Alava-Santiago, Vitoria, Spain
| | - A Lobo
- Department of Medicine and Psychiatry. Universidad de Zaragoza. Instituto de Investigación Aragón, CIBERSAM, Zaragoza, Spain
| | - M J Cuesta
- Department of Psychiatry, Complejo Hospitalario of Navarra, Pamplona, Spain. Instituto de Investigación Sanitaria de Navarra, Pamplona, Spain, IdiSNA
| | - A Sánchez-Torres
- Department of Psychiatry, Complejo Hospitalario of Navarra, Pamplona, Spain. Instituto de Investigación Sanitaria de Navarra, Pamplona, Spain, IdiSNA
| | - D Bergé
- Hospital del Mar Medical Research Institute (IMIM), Autonomous University of Barcelona and CIBERSAM, Barcelona, Spain
| | - J Castro-Fornieles
- Department of Child and Adolescent Psychiatry and Psychology. Institut Clínic of Neurosciences, IDIBAPS, Hospital Clínic de Barcelona, CIBERSAM, Barcelona, Spain
| | - C Moreno
- Child and Adolescent Psychiatry Department, Hospital General Universitario Gregorio Marañón, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM. Madrid, Spain
| | - M Bernardo
- Barcelona Clínic Schizophrenia Unit, Hospital Clinic de Barcelona, CIBERSAM, Barcelona, Spain
| | - E Vieta
- Barcelona Bipolar Disorders Program, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain.
| | | |
Collapse
|
40
|
Firth J, Firth JA, Stubbs B, Vancampfort D, Schuch FB, Hallgren M, Veronese N, Yung AR, Sarris J. Association Between Muscular Strength and Cognition in People With Major Depression or Bipolar Disorder and Healthy Controls. JAMA Psychiatry 2018; 75:740-746. [PMID: 29710135 PMCID: PMC6145677 DOI: 10.1001/jamapsychiatry.2018.0503] [Citation(s) in RCA: 49] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
IMPORTANCE Objective physical fitness measures, such as handgrip strength, are associated with physical, mental, and cognitive outcomes in the general population. Although people with mental illness experience reduced physical fitness and cognitive impairment, the association between muscular strength and cognition has not been examined to date. OBJECTIVE To determine associations between maximal handgrip strength and cognitive performance in people with major depression or bipolar disorder and in healthy controls. DESIGN, SETTING, AND PARTICIPANTS In a multicenter, population-based study conducted between February 13, 2005, and October 1, 2010, in the United Kingdom, cross-sectional analysis was conducted of baseline data from 110 067 participants in the UK Biobank. Data analysis was performed between August 3 and August 18, 2017. Invitations were mailed to approximately 9.2 million UK homes, recruiting 502 664 adults, all aged 37 to 73 years. Clinically validated measures were used to identify individuals with major recurrent depression (moderate or severe) or bipolar disorder (type I or type II) and healthy controls (those with no indication of present or previous mood disorders). MAIN OUTCOMES AND MEASURES Handgrip dynamometry was used to measure muscular function. Cognitive functioning was assessed using computerized tasks of reaction time, visual memory, number memory, reasoning, and prospective memory. Generalized linear mixed models assessed the association between handgrip strength and cognitive performance, controlling for age, educational level, sex, body weight, and geographic region. RESULTS Of the 110 067 participants, analyses included 22 699 individuals with major depression (mean [95% range] age, 55.5 [41-68] years; 7936 [35.0%] men), 1475 with bipolar disorder (age, 54.4 [41-68] years; 748 [50.7%] men), and 85 893 healthy controls (age, 53.7 [41-69] years; 43 000 [50.0%] men). In those with major depression, significant positive associations (P < .001) between maximal handgrip strength and improved performance on all 5 cognitive tasks were found, including visual memory (coefficient, -0.146; SE, 0.014), reaction time (coefficient, -0.036; SE, 0.002), reasoning (coefficient, 0.213; SE, 0.02), number memory (coefficient, 0.160; SE, 0.023), and prospective memory (coefficient, 0.341; SE, 0.024). Similar results were found in healthy controls. Among participants with bipolar disorder, handgrip strength was positively associated with improved visual memory (coefficient, -0.129; SE, 0.052; P = .01), reaction time (coefficient, -0.047; SE, 0.007; P < .001), prospective memory (coefficient, 0.262; SE, 0.088; P = .003), and reasoning (coefficient, 0.354; SE, 0.08; P < .001). CONCLUSIONS AND RELEVANCE Grip strength may provide a useful indicator of cognitive impairment in people with major depression and bipolar disorder. Future research should investigate causality, assess the functional implications of handgrip strength in psychiatric populations, and examine how interventions to improve muscular fitness affect neurocognitive status and socio-occupational functioning.
Collapse
Affiliation(s)
- Joseph Firth
- NICM Health Research Institute, School of Science and Health, University of Western Sydney, Sydney. New South Wales, Australia,Division of Psychology and Mental Health, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom
| | - Josh A. Firth
- Department of Zoology, Edward Grey Institute, University of Oxford, Oxford, United Kingdom,Merton College, University of Oxford, Oxford, United Kingdom
| | - Brendon Stubbs
- Physiotherapy Department, South London and Maudsley National Health Services Foundation Trust, United Kingdom,Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Davy Vancampfort
- Katholieke Universiteit Leuven Department of Rehabilitation Sciences, Leuven, Belgium,Universitair Psychiatrisch Centrum Katholieke Universiteit Leuven, Campus Kortenberg, Leuven, Belgium
| | - Felipe B. Schuch
- Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil,Post Graduate Program in Health and Human Development, Universidade La Salle, Canoas, Brazil
| | - Mats Hallgren
- Department of Public Health Sciences, Karolinksa Institute, Stockholm, Sweden
| | - Nicola Veronese
- Laboratory of Nutritional Biochemistry, Research Hospital, Istituto di Ricovero e cura a Carattere Scientifico “S. de Bellis,” Castellana Grotte, Bari, Italy,National Research Council, Neuroscience Institute, Aging Branch, Padua, Italy
| | - Alison R. Yung
- Division of Psychology and Mental Health, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom,Greater Manchester Mental Health National Health Service Foundation Trust, United Kingdom
| | - Jerome Sarris
- NICM Health Research Institute, School of Science and Health, University of Western Sydney, Sydney. New South Wales, Australia,ARCADIA Group, Professorial Unit, The Melbourne Clinic, Department of Psychiatry, University of Melbourne, Melbourne, Australia
| |
Collapse
|
41
|
Hiroi N. Critical reappraisal of mechanistic links of copy number variants to dimensional constructs of neuropsychiatric disorders in mouse models. Psychiatry Clin Neurosci 2018; 72:301-321. [PMID: 29369447 PMCID: PMC5935536 DOI: 10.1111/pcn.12641] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2017] [Revised: 12/27/2017] [Accepted: 01/19/2018] [Indexed: 12/17/2022]
Abstract
Copy number variants are deletions and duplications of a few thousand to million base pairs and are associated with extraordinarily high levels of autism spectrum disorder, schizophrenia, intellectual disability, or attention-deficit hyperactivity disorder. The unprecedented levels of robust and reproducible penetrance of copy number variants make them one of the most promising and reliable entry points to delve into the mechanistic bases of many mental disorders. However, the precise mechanistic bases of these associations still remain elusive in humans due to the many genes encoded in each copy number variant and the diverse associated phenotypic features. Genetically engineered mice have provided a technical means to ascertain precise genetic mechanisms of association between copy number variants and dimensional aspects of mental illnesses. Molecular, cellular, and neuronal phenotypes can be detected as potential mechanistic substrates for various behavioral constructs of mental illnesses. However, mouse models come with many technical pitfalls. Genetic background is not well controlled in many mouse models, leading to rather obvious interpretative issues. Dose alterations of many copy number variants and single genes within copy number variants result in some molecular, cellular, and neuronal phenotypes without a behavioral phenotype or with a behavioral phenotype opposite to what is seen in humans. In this review, I discuss technical and interpretative pitfalls of mouse models of copy number variants and highlight well-controlled studies to suggest potential neuronal mechanisms of dimensional aspects of mental illnesses. Mouse models of copy number variants represent toeholds to achieve a better understanding of the mechanistic bases of dimensions of neuropsychiatric disorders and thus for development of mechanism-based therapeutic options in humans.
Collapse
Affiliation(s)
- Noboru Hiroi
- Department of Psychiatry and Behavioral Sciences, Albert Einstein College of Medicine, New York, USA.,Department of Neuroscience, Albert Einstein College of Medicine, New York, USA.,Department of Genetics, Albert Einstein College of Medicine, New York, USA
| |
Collapse
|
42
|
Bora E. Neurocognitive features in clinical subgroups of bipolar disorder: A meta-analysis. J Affect Disord 2018; 229:125-134. [PMID: 29306692 DOI: 10.1016/j.jad.2017.12.057] [Citation(s) in RCA: 113] [Impact Index Per Article: 18.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2017] [Revised: 12/17/2017] [Accepted: 12/27/2017] [Indexed: 02/06/2023]
Abstract
OBJECTIVE There is a significant cognitive heterogeneity in bipolar disorder (BD). The aim of this systematic review was to examine the potential distinctive neuropsychological of features of clinical subgroups of BD. A literature search investigating cognitive differences between potential subtypes of BD was conducted. METHODS It was possible to conduct a meta-analysis of studies investigating the relationship between cognitive deficits and subgroups of DSM-IV BD (type I (BD-I) and type II (BD-II)), subgroups based on history of psychosis (PBD and NPBD). The cognitive domains investigated in this meta-analysis included verbal memory, visual memory, processing speed, executive functions speed (EF-speed), EF-accuracy, attention, working memory, social cognition. Current meta-analysis included 48 reports and compared cognitive performances of 1211 BD-I and 836 BD-II patients. It also compared cognitive functioning in 1017 PBD and 744 NPBD patients. RESULTS Both history of psychosis (d = 0.19) and BD-I (d = 0.17) diagnosis were associated with modestly more pronounced global cognitive impairment. In specific domains, BD-I significantly underperformed BD-II in verbal memory, processing speed, EF-speed, EF-accuracy (d = 0.15-0.26). PBD was associated with significantly impaired cognition compared to NPBD in verbal memory, processing speed, EF-speed, EF-accuracy, working memory and social cognition (d = 0.12-0.28). CONCLUSION In BD, history of psychosis and full-manic episode are modestly associated with increased cognitive deficits. Neurocognitive differences between clinical subtypes of BD are quite subtle and are not distinctive. Furthermore, other factors reflecting differences in illness severity can explain observed between-group differences. Most of the cognitive heterogeneity in BD cannot be explained by proposed subtypes of BD.
Collapse
Affiliation(s)
- Emre Bora
- Dokuz Eylül University, Faculty of Medicine, Department of Psychiatry, Izmir, Turkey; Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Carlton South, Victoria 3053, Australia.
| |
Collapse
|
43
|
Trisha C, Golnoush A, Jan-Marie K, Torres IJ, Yatham LN. Cognitive functioning in first episode bipolar I disorder patients with and without history of psychosis. J Affect Disord 2018; 227:109-116. [PMID: 29055258 DOI: 10.1016/j.jad.2017.10.003] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2017] [Revised: 09/03/2017] [Accepted: 10/01/2017] [Indexed: 11/25/2022]
Abstract
BACKGROUND Psychosis in bipolar I disorder (BDI) has been associated with increased cognitive dysfunction, which may relate to poorer functional outcomes. However, it is not known whether cognition differs between BDI patients with (BDP+) or without (BDP-) history of psychosis early in the disease course, or if it is impacted by the presence of mood congruent (MCP) versus incongruent (MIC) psychotic features. We compare cognition between these groups in BDI patients recently recovered from first episode of mania. METHODS Attention, verbal learning/memory, processing speed and executive functioning were compared between: 1) all BDI patients (n = 73) and healthy controls (HC, n = 45), 2) BDP+ (n = 60) and BDP- (n = 13) patients and 3) MCP (n = 27) and MIC (n = 33) patients. Post-hoc analyses compared all patient groups with HC. RESULTS While BDI patients performed worse than HC in all domains, there were no significant differences between BDP+ and BDP-, or MCP and MIC, patients. However, BDP+ and MIC groups demonstrated different patterns of impairment compared to HC then did BDP- or MCP. Executive functioning and cognitive flexibility in particular appeared to be a deficit area in BDP+ patients. LIMITATIONS This study may have been underpowered to detect differences in direct comparison between BDP+ and BDP- patients. CONCLUSION While replication in larger samples is required, these results suggest that subtle cognitive differences between BDP+ and BDP-, and between MIC and MCP, patients may be present shortly after disease onset. These patient subsets may therefore be of interest in examining early intensive strategies to preserve cognition.
Collapse
Affiliation(s)
- Chakrabarty Trisha
- Department of Psychiatry, University of British Columbia, 2255 Wesbrook Mall, Vancouver, BC, Canada V6T 2A1
| | - Alamian Golnoush
- Department of Psychology, University of Montreal, C.P. 6128, Succursale Centre-ville, Montréal, QC, Canada H3C 3J7
| | - Kozicky Jan-Marie
- Department of Psychiatry, University of British Columbia, 2255 Wesbrook Mall, Vancouver, BC, Canada V6T 2A1
| | - Ivan J Torres
- Department of Psychiatry, University of British Columbia, 2255 Wesbrook Mall, Vancouver, BC, Canada V6T 2A1
| | - Lakshmi N Yatham
- Department of Psychiatry, University of British Columbia, 2255 Wesbrook Mall, Vancouver, BC, Canada V6T 2A1.
| |
Collapse
|
44
|
Bora E. Letter to the Editor: The half-alive concept of schizophrenia is still better than the spectrum of everything. Psychol Med 2018; 48:519-520. [PMID: 28847315 DOI: 10.1017/s0033291717002446] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- E Bora
- Faculty of Medicine, Department of Psychiatry,Dokuz Eylül University,Izmir,Turkey
| |
Collapse
|
45
|
Tatay-Manteiga A, Correa-Ghisays P, Cauli O, Kapczinski FP, Tabarés-Seisdedos R, Balanzá-Martínez V. Staging, Neurocognition and Social Functioning in Bipolar Disorder. Front Psychiatry 2018; 9:709. [PMID: 30618879 PMCID: PMC6305735 DOI: 10.3389/fpsyt.2018.00709] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2018] [Accepted: 12/03/2018] [Indexed: 11/17/2022] Open
Abstract
Introduction: Bipolar disorder (BD) is associated with significant neurocognitive and functional impairment, which may progress across stages. The 'latent stage' of BD remains understudied. This cross-sectional study assessed staging, neurocognition and social functioning among BD patients and their healthy siblings. Methods: Four groups were included: euthymic type I BD patients in the early (n = 25) and late (n = 23) stages, their healthy siblings (latent stage; n = 23) and healthy controls (n = 21). All 92 subjects underwent a comprehensive neuropsychological battery of processing speed, verbal learning/memory, visual memory, working memory, verbal fluency, executive cognition, and motor speed. Social functioning was assessed using the FAST scale. Results: Siblings' social functioning was identical to that of controls, and significantly better than both early- (p < 0.005) and late- (p < 0.001) stage patients. Although all patients were strictly euthymic, those at late stages had a significantly worse social functioning than early-stage patients (p < 0.001). Compared to controls, increasingly greater neurocognitive dysfunction was observed across stages of BD (F = 1.59; p = 0.005). Healthy siblings' performance lied between those of controls and patients, with deficits in tasks of processing speed, executive attention, verbal memory/learning, and visual memory. Both early- and late-stage patients had a more severe and widespread dysfunction than siblings, with no significant differences between them. Conclusions: Genetic vulnerability to BD-I seems to be associated with neurocognitive impairments, whereas social dysfunction would be the result of the clinical phenotype. Staging models of BD should take into account these divergent findings in the latent stage.
Collapse
Affiliation(s)
- Amparo Tatay-Manteiga
- Department of Psychiatry, General University Hospital Consortium of Valencia, Valencia, Spain
| | - Patricia Correa-Ghisays
- Centro Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,Faculty of Psychology, University of Valencia, Valencia, Spain
| | - Omar Cauli
- Department of Nursing, University of Valencia, Valencia, Spain
| | - Flavio P Kapczinski
- McMaster's Department of Psychiatry and Behavioral Neurosciences, Hamilton, ON, Canada.,Department of Psychiatry, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Rafael Tabarés-Seisdedos
- Centro Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,Department of Medicine, University of Valencia, Valencia, Spain
| | - Vicent Balanzá-Martínez
- Centro Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,Department of Medicine, University of Valencia, Valencia, Spain.,Catarroja Mental Health Unit, Valencia, Spain
| |
Collapse
|
46
|
Bora E, Özerdem A. Meta-analysis of longitudinal studies of cognition in bipolar disorder: comparison with healthy controls and schizophrenia. Psychol Med 2017; 47:2753-2766. [PMID: 28585513 DOI: 10.1017/s0033291717001490] [Citation(s) in RCA: 113] [Impact Index Per Article: 16.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
BACKGROUND Bipolar disorder (BP) is associated with significant cognitive impairment. Recent evidence suggests that cognitive deficits are already evident after first-episode mania. However, it is not clear whether BP is associated with further decline in cognitive functions in individuals with established illness. Aim of this meta-analytic review was to examine longitudinal neurocognitive changes in BP and to compare trajectory of cognitive deficits in BP with schizophrenia and healthy controls. METHODS Electronic databases were searched for the studies published between January 1987 and November 2016. In total 22 reports were included in the current meta-analysis. The main analysis assessed the longitudinal change in cognition in 643 patients with BP. Further analyses were conducted in studies investigating cognitive changes in BP along with healthy controls (459 BP and 367 healthy controls) and schizophrenia (172 BP and 168 schizophrenia). RESULTS There was no cognitive decline overtime neither in short-term (mean duration = 1.5 years) nor in long-term (mean duration = 5.5 years) follow-up studies in BP. In contrast, there was evidence for modest improvements in task performance in memory and working memory at follow-up. The trajectory of cognitive functioning in BP was not significantly different from changes in schizophrenia and healthy controls. CONCLUSIONS Together with the findings in early BP and individuals at genetic risk for BP, current findings suggest that neurodevelopmental factors might play a significant role in cognitive deficits in BP and do not support the notion of progressive cognitive decline in most patients with BP.
Collapse
Affiliation(s)
- E Bora
- Faculty of Medicine,Department of Psychiatry,Dokuz Eylül University,Izmir,Turkey
| | - A Özerdem
- Faculty of Medicine,Department of Psychiatry,Dokuz Eylül University,Izmir,Turkey
| |
Collapse
|
47
|
Bora E, Özerdem A. Social cognition in first-degree relatives of patients with bipolar disorder: A meta-analysis. Eur Neuropsychopharmacol 2017; 27:293-300. [PMID: 28284777 DOI: 10.1016/j.euroneuro.2017.02.009] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/11/2016] [Revised: 02/02/2017] [Accepted: 02/21/2017] [Indexed: 12/29/2022]
Abstract
Cognitive impairment is evident euthymic patients with bipolar disorder (BP) and in their first-degree relatives (BP-Rel). Increasing evidence suggests that BP is also associated with social cognitive impairment. It is important to establish whether social cognitive impairment is also evident in BP-Rel. A novel meta-analysis of theory of mind (ToM) and facial emotion recognition in BP-Rel including 16 studies (728 first-degree relatives of patients with BP and 865 healthy controls) was conducted. ToM (d=0.34, CI=0.16-0.52) was significantly impaired in BP-Rel. The effect size for the difference between BP-Rel and healthy controls was smaller for facial emotion recognition (d=0.17, CI=0.16-0.29) and could be nonsignificant after the effect of publication bias was taken into account. First-degree relatives of patients with BP underperform healthy subjects in social cognitive abilities, particularly in ToM. However, the effect size for between-group difference is small. ToM impairment might be a vulnerability marker of BP.
Collapse
Affiliation(s)
- Emre Bora
- Dokuz Eylül University, Faculty of Medicine, Department of Psychiatry, Izmir, Turkey; Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Carlton South, Victoria 3053, Australia.
| | - Ayşegül Özerdem
- Dokuz Eylül University, Faculty of Medicine, Department of Psychiatry, Izmir, Turkey; Dokuz Eylul University, Health Sciences Institute, Department of Neurosciences, Izmir, Turkey
| |
Collapse
|
48
|
Träger C, Decker L, Wæhrens EE, Knorr U, Miskowiak K, Vinberg M. Influences of patient informed cognitive complaints on activities of daily living in patients with bipolar disorder. An exploratory cross-sectional study. Psychiatry Res 2017; 249:268-274. [PMID: 28135597 DOI: 10.1016/j.psychres.2016.12.058] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2016] [Revised: 10/24/2016] [Accepted: 12/27/2016] [Indexed: 11/27/2022]
Abstract
Many patients with bipolar disorder (BD) experience debilitating cognitive deficits, with risk of impaired occupational and psychosocial functioning. However, knowledge of how these deficits impact the patients' ability to perform Activities of Daily Living (ADL), tasks related to self-care and domestic life is limited. We explored the relation between impaired cognitive function and the ability to perform ADL in patients with BD. A total of 42 outpatients (mean age 36 years (range 19.0-58.0 years), 69% women) with BD in remission and with subjective cognitive complaints (≥ 13 on the Cognitive Complaints in Bipolar Disorder Rating Assessment questionnaire (COBRA)) were included. Objective neurocognitive function was evaluated with a short comprehensive cognitive test battery and ADL ability was evaluated with the performance-based Assessment of Motor and Process Skills (AMPS) in the homes of the patients. Our findings indicate that low processing speed correlated with decreased ADL ability, and processing speed as measured by the cognitive test battery thus seems to be significantly related to patients' ability to live independently in the community. Overall, adding a performance based test to assess ADL ability in patients with BD home-surroundings seems to provide new insights regarding the effect of cognitive impairment in patients with BD.
Collapse
Affiliation(s)
- Conny Träger
- Psychiatric Centre Copenhagen, Copenhagen University Hospital, Copenhagen, Denmark
| | - Lone Decker
- Department of Physiotherapy and Occupational Therapy, Metropolitan University College, Copenhagen, Denmark
| | - Eva Ejlersen Wæhrens
- The Parker Institute, Copenhagen University Hospital-, Bispebjerg and Frederiksberg, Frederiksberg, Denmark; Institute of Public Health, University of Southern Denmark, Odense, Denmark
| | - Ulla Knorr
- Psychiatric Centre Copenhagen, Copenhagen University Hospital, Copenhagen, Denmark
| | - Kamilla Miskowiak
- Psychiatric Centre Copenhagen, Copenhagen University Hospital, Copenhagen, Denmark
| | - Maj Vinberg
- Psychiatric Centre Copenhagen, Copenhagen University Hospital, Copenhagen, Denmark.
| |
Collapse
|
49
|
Tempelaar WM, Termorshuizen F, MacCabe JH, Boks MPM, Kahn RS. Educational achievement in psychiatric patients and their siblings: a register-based study in 30 000 individuals in The Netherlands. Psychol Med 2017; 47:776-784. [PMID: 27873559 DOI: 10.1017/s0033291716002877] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
BACKGROUND Poor educational achievement is associated with a range of psychiatric disorders. Several studies suggest that this underperformance is due to cognitive deficits that commence before disease onset and reflect a genetic risk for this disorder. However, the specificity and the familial contribution of this cognitive deficit are not clear. We analysed lifetime educational achievement of psychiatric patients diagnosed with schizophrenia, bipolar or depressive disorder and their unaffected siblings. METHOD In a register-based case-control study, 1561 patients with schizophrenia, 813 patients with bipolar disorder, 8112 patients with depression, and their siblings were each matched with eight population controls. Patients, siblings and controls were compared on the highest educational stream they completed. RESULTS Lower educational achievement was present in schizophrenia patients from primary school onwards [completing primary school: odds ratio (OR) 0.69; completing secondary school: OR 0.69; completing academic education: OR 0.46], compared to patients with bipolar disorder or depression. Siblings of schizophrenia, bipolar or depressed patients showed no underachievement at primary or secondary school, but siblings of schizophrenia patients as well as siblings of depressed patients were less successful in their educational achievement after secondary school (completing academic education, schizophrenia siblings: OR 0.90; depressive disorder siblings: OR 0.91). CONCLUSIONS Educational underachievement from primary school onwards is specifically related to schizophrenia and not to bipolar disorder or depression. Moreover, it appears to be a harbinger of the illness, since it is not found in their siblings. These results add to evidence that early cognitive deficits are a distinct feature of the schizophrenia phenotype.
Collapse
Affiliation(s)
- W M Tempelaar
- Department of Psychiatry,Brain Center Rudolf Magnus,University Medical Centre Utrecht,Utrecht,The Netherlands
| | - F Termorshuizen
- Julius Centre for Health Sciences and Primary Care,University Medical Centre Utrecht,Utrecht,The Netherlands
| | - J H MacCabe
- Department of Psychosis Studies,Institute of Psychiatry,Psychology and Neuroscience,King's College London,London,UK
| | - M P M Boks
- Department of Psychiatry,Brain Center Rudolf Magnus,University Medical Centre Utrecht,Utrecht,The Netherlands
| | - R S Kahn
- Department of Psychiatry,Brain Center Rudolf Magnus,University Medical Centre Utrecht,Utrecht,The Netherlands
| |
Collapse
|
50
|
Bortolato B, Köhler CA, Evangelou E, León-Caballero J, Solmi M, Stubbs B, Belbasis L, Pacchiarotti I, Kessing LV, Berk M, Vieta E, Carvalho AF. Systematic assessment of environmental risk factors for bipolar disorder: an umbrella review of systematic reviews and meta-analyses. Bipolar Disord 2017; 19:84-96. [PMID: 28470927 DOI: 10.1111/bdi.12490] [Citation(s) in RCA: 91] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2016] [Accepted: 03/25/2017] [Indexed: 12/30/2022]
Abstract
OBJECTIVES The pathophysiology of bipolar disorder is likely to involve both genetic and environmental risk factors. In our study, we aimed to perform a systematic search of environmental risk factors for BD. In addition, we assessed possible hints of bias in this literature, and identified risk factors supported by high epidemiological credibility. METHODS We searched the Pubmed/MEDLINE, EMBASE and PsycInfo databases up to 7 October 2016 to identify systematic reviews and meta-analyses of observational studies that assessed associations between putative environmental risk factors and BD. For each meta-analysis, we estimated its summary effect size by means of both random- and fixed-effects models, 95% confidence intervals (CIs), the 95% prediction interval, and heterogeneity. Evidence of small-study effects and excess of significance bias was also assessed. RESULTS Sixteen publications met the inclusion criteria (seven meta-analyses and nine qualitative systematic reviews). Fifty-one unique environmental risk factors for BD were evaluated. Six meta-analyses investigated associations with a risk factor for BD. Only irritable bowel syndrome (IBS) emerged as a risk factor for BD supported by convincing evidence (k=6; odds ratio [OR]=2.48; 95% CI=2.35-2.61; P<.001), and childhood adversity was supported by highly suggestive evidence. Asthma and obesity were risk factors for BD supported by suggestive evidence, and seropositivity to Toxoplasma gondii and a history of head injury were supported by weak evidence. CONCLUSIONS Notwithstanding that several environmental risk factors for BD were identified, few meta-analyses of observational studies were available. Therefore, further well-designed and adequately powered studies are necessary to map the environmental risk factors for BD.
Collapse
Affiliation(s)
- Beatrice Bortolato
- Institute for clinical Research and Education in Medicine, I.R.E.M., Padova, Italy
| | - Cristiano A Köhler
- Department of Clinical Medicine and Translational Psychiatry Research Group, Faculty of Medicine, Federal University of Ceará, Fortaleza, Ceará, Brazil
| | - Evangelos Evangelou
- Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, Greece.,Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Jordi León-Caballero
- Bipolar Unit, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain.,Institut de Neuropsiquiatria i Addiccions, Parc de Salut Mar, CIBERSAM, Universidad Autonoma de Barcelona, Barcelona, Catalonia, Spain
| | - Marco Solmi
- Institute for clinical Research and Education in Medicine, I.R.E.M., Padova, Italy.,Department of Neurosciences, University of Padova, Padova, Italy.,Local Health Unit 17 ULSS 17, Mental Health Department, Padova, Italy.,Department of Medicine, DIMED, Geriatrics Division, University of Padova, Padova, Italy
| | - Brendon Stubbs
- Physiotherapy Department, South London and Maudsley NHS Foundation Trust, London, UK.,Health Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.,Faculty of Health, Social care and Education, Anglia Ruskin University, Chelmsford, UK
| | - Lazaros Belbasis
- Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, Greece
| | - Isabella Pacchiarotti
- Bipolar Unit, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Lars V Kessing
- Psychiatric Centre Copenhagen, Rigshospitalet, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Michael Berk
- IMPACT Strategic Research Centre (Barwon Health), School of Medicine, Deakin University, Geelong, VIC, Australia.,Florey Institute for Neuroscience and Mental Health, Department of Psychiatry, University of Melbourne, Melbourne, Australia.,Orygen, The National Centre of Excellence in Youth Mental Health, University of Melbourne, Melbourne, Australia
| | - Eduard Vieta
- Bipolar Unit, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - André F Carvalho
- Institute for clinical Research and Education in Medicine, I.R.E.M., Padova, Italy.,Department of Clinical Medicine and Translational Psychiatry Research Group, Faculty of Medicine, Federal University of Ceará, Fortaleza, Ceará, Brazil
| |
Collapse
|