1
|
Säkkinen M, Hakko H, Wahlberg KE, Räsänen S. Differences in social adjustment during adulthood between adoptees with high and low risk for schizophrenia spectrum disorders - the Finnish adoptive family study of schizophrenia. Eur Arch Psychiatry Clin Neurosci 2024:10.1007/s00406-024-01866-0. [PMID: 39073448 DOI: 10.1007/s00406-024-01866-0] [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: 02/19/2024] [Accepted: 07/15/2024] [Indexed: 07/30/2024]
Abstract
OBJECTIVE To investigate differences in social adjustment during adulthood between adoptees with high genetic risk (HR) and low genetic risk (LR) for schizophrenia spectrum disorders. METHODS This study is a subsample of the Finnish Adoptive Family Study of Schizophrenia. The study sample consisted of 120 adoptees whose biological mothers had DSM-III-R verified schizophrenia spectrum disorders, and 142 socio-demographically matched control adoptees. The social adjustment of the adoptees was assessed using the interview-based Adult Adjustment Scale (AAS). RESULTS A lower proportion of the HR adoptees (61.7%) fell into the category of good adaptation compared to LR adoptees (74.6%) (p = 0.024). In addition, the median AAS score among HR adoptees was lower compared to LR adoptees (p = 0.023). Poorer results among HR adoptees were also found regarding some individual items and the social health -domain within the AAS. The psychiatric morbidity, excluding schizophrenia spectrum disorders, was higher among HR adoptees. Psychiatric morbidity was shown to mediate the association of genetic status to total AAS, and, also to the domain of social health. CONCLUSION According to our results, genetic susceptibility to schizophrenia is associated with weakened social adjustment during adulthood. Although our results demonstrated that psychiatric morbidity has notable effect on the association of genetic status to adult adjustment scores, the impact of other determinants, like psychosocial factors or health-related behaviour, cannot be ruled out. The comparable rearing environment provided by the adoption design in conjunction with reliable diagnostics provide new information on the relation of genetic susceptibility and social adjustment.
Collapse
Affiliation(s)
- Miia Säkkinen
- Faculty of Medicine, Research Unit of Clinical Medicine, Psychiatry, University of Oulu, Peltolantie 17, PT1, FIN-90220, Oulu, Finland.
| | - Helinä Hakko
- Department of Psychiatry, Oulu University Hospital, Peltolantie 17, PT1, FIN-90220, Oulu, Finland
| | - Karl-Erik Wahlberg
- Faculty of Medicine, Research Unit of Clinical Medicine, Psychiatry, University of Oulu, Peltolantie 17, PT1, FIN-90220, Oulu, Finland
| | - Sami Räsänen
- Faculty of Medicine, Research Unit of Clinical Medicine, Psychiatry, University of Oulu, Peltolantie 17, PT1, FIN-90220, Oulu, Finland
- Department of Psychiatry, Oulu University Hospital, Peltolantie 17, PT1, FIN-90220, Oulu, Finland
| |
Collapse
|
2
|
Rodriguez V, Alameda L, Quattrone D, Tripoli G, Gayer-Anderson C, Spinazzola E, Trotta G, Jongsma HE, Stilo S, La Cascia C, Ferraro L, La Barbera D, Lasalvia A, Tosato S, Tarricone I, Bonora E, Jamain S, Selten JP, Velthorst E, de Haan L, Llorca PM, Arrojo M, Bobes J, Bernardo M, Arango C, Kirkbride J, Jones PB, Rutten BP, Richards A, Sham PC, O'Donovan M, Van Os J, Morgan C, Di Forti M, Murray RM, Vassos E. Use of multiple polygenic risk scores for distinguishing schizophrenia-spectrum disorder and affective psychosis categories in a first-episode sample; the EU-GEI study. Psychol Med 2023; 53:3396-3405. [PMID: 35076361 PMCID: PMC10277719 DOI: 10.1017/s0033291721005456] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Revised: 12/05/2021] [Accepted: 12/15/2021] [Indexed: 12/22/2022]
Abstract
BACKGROUND Schizophrenia (SZ), bipolar disorder (BD) and depression (D) run in families. This susceptibility is partly due to hundreds or thousands of common genetic variants, each conferring a fractional risk. The cumulative effects of the associated variants can be summarised as a polygenic risk score (PRS). Using data from the EUropean Network of national schizophrenia networks studying Gene-Environment Interactions (EU-GEI) first episode case-control study, we aimed to test whether PRSs for three major psychiatric disorders (SZ, BD, D) and for intelligent quotient (IQ) as a neurodevelopmental proxy, can discriminate affective psychosis (AP) from schizophrenia-spectrum disorder (SSD). METHODS Participants (842 cases, 1284 controls) from 16 European EU-GEI sites were successfully genotyped following standard quality control procedures. The sample was stratified based on genomic ancestry and analyses were done only on the subsample representing the European population (573 cases, 1005 controls). Using PRS for SZ, BD, D, and IQ built from the latest available summary statistics, we performed simple or multinomial logistic regression models adjusted for 10 principal components for the different clinical comparisons. RESULTS In case-control comparisons PRS-SZ, PRS-BD and PRS-D distributed differentially across psychotic subcategories. In case-case comparisons, both PRS-SZ [odds ratio (OR) = 0.7, 95% confidence interval (CI) 0.54-0.92] and PRS-D (OR = 1.31, 95% CI 1.06-1.61) differentiated AP from SSD; and within AP categories, only PRS-SZ differentiated BD from psychotic depression (OR = 2.14, 95% CI 1.23-3.74). CONCLUSIONS Combining PRS for severe psychiatric disorders in prediction models for psychosis phenotypes can increase discriminative ability and improve our understanding of these phenotypes. Our results point towards the potential usefulness of PRSs in specific populations such as high-risk or early psychosis phases.
Collapse
Affiliation(s)
- Victoria Rodriguez
- Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College of London, London, UK
| | - Luis Alameda
- Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College of London, London, UK
- Instituto de Investigación Sanitaria de Sevilla, IBiS, Hospital Universitario Virgen del Rocío, Department of Psychiatry, Universidad de Sevilla, Sevilla, Spain
- Service of General Psychiatry, Treatment and Early Intervention in Psychosis Program, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - Diego Quattrone
- Social, Genetics and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Giada Tripoli
- Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College of London, London, UK
| | - Charlotte Gayer-Anderson
- Department of Health Service and Population Research, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Edoardo Spinazzola
- Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College of London, London, UK
- Psychiatry Residency Training Program, Faculty of Medicine and Psychology, Sapienza University of Rome, Rome, Italy
| | - Giulia Trotta
- Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College of London, London, UK
- Department of Experimental Biomedicine and Clinical Neuroscience, University of Palermo, Palermo, Italy
| | - Hannah E. Jongsma
- Psylife Group, Division of Psychiatry, University College London, London, UK
| | - Simona Stilo
- Department of Mental Health and Addiction Services, ASP Crotone, Crotone, Italy
| | - Caterina La Cascia
- Section of Psychiatry, Department of Biomedicine, Neuroscience and advanced Diagnostic (BiND), University of Palermo, Palermo, Italy
| | - Laura Ferraro
- Section of Psychiatry, Department of Biomedicine, Neuroscience and advanced Diagnostic (BiND), University of Palermo, Palermo, Italy
| | - Daniele La Barbera
- Section of Psychiatry, Department of Biomedicine, Neuroscience and advanced Diagnostic (BiND), University of Palermo, Palermo, Italy
| | - Antonio Lasalvia
- Section of Psychiatry, Department of Neuroscience, Biomedicine and Movement, University of Verona, Verona, Italy
| | - Sarah Tosato
- Section of Psychiatry, Department of Neuroscience, Biomedicine and Movement, University of Verona, Verona, Italy
| | - Ilaria Tarricone
- Bologna Transcultural Psychosomatic Team (BoTPT), Department of Medical and Surgical Science, Alma Mater Studiorum Università di Bologna, Bologna, Italy
| | - Elena Bonora
- Bologna Transcultural Psychosomatic Team (BoTPT), Department of Medical and Surgical Science, Alma Mater Studiorum Università di Bologna, Bologna, Italy
| | - Stéphane Jamain
- Neuropsychiatrie Translationnelle, INSERM, U955, Faculté de Santé, Université Paris Est, Créteil, France
| | - Jean-Paul Selten
- Rivierduinen Institute for Mental Health Care, Leiden, The Netherlands
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, South Limburg Mental Health Research and Teaching Network, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Eva Velthorst
- Department of Psychiatry, Early Psychosis Section, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, USA
| | - Lieuwe de Haan
- Department of Psychiatry, Early Psychosis Section, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | | | - Manuel Arrojo
- Department of Psychiatry, Psychiatric Genetic Group, Instituto de Investigación Sanitaria de Santiago de Compostela, Complejo Hospitalario Universitario de Santiago de Compostela, Santiago, Spain
| | - Julio Bobes
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain
- Department of Medicine, Psychiatry Area, School of Medicine, Universidad de Oviedo, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Oviedo, Spain
| | - Miguel Bernardo
- Barcelona Clinic Schizophrenia Unit, Neuroscience Institute, Hospital Clinic of Barcelona, University of Barcelona, Institut d'Investigacions Biomèdiques August Pi I Sunyer, Biomedical Research Networking Centre in Mental Health (CIBERSAM), Barcelona, Spain
| | - Celso Arango
- 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
| | - James Kirkbride
- Psylife Group, Division of Psychiatry, University College London, London, UK
| | - Peter B. Jones
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- CAMEO Early Intervention Service, Cambridgeshire & Peterborough NHS Foundation Trust, Cambridge, UK
| | - Bart P. Rutten
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, South Limburg Mental Health Research and Teaching Network, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Alexander Richards
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Pak C. Sham
- Social, Genetics and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Centre for Genomic Sciences, Li KaShing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong
| | - Michael O'Donovan
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Jim Van Os
- Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College of London, London, UK
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, South Limburg Mental Health Research and Teaching Network, Maastricht University Medical Centre, Maastricht, The Netherlands
- Department Psychiatry, Brain Centre Rudolf Magnus, Utrecht University Medical Centre, Utrecht, The Netherlands
| | - Craig Morgan
- Department of Health Service and Population Research, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Marta Di Forti
- Social, Genetics and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Robin M. Murray
- Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College of London, London, UK
| | - Evangelos Vassos
- Social, Genetics and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| |
Collapse
|
3
|
Chauvière L. Early cognitive comorbidities before disease onset: A common symptom towards prevention of related brain diseases? Heliyon 2022; 8:e12259. [PMID: 36590531 PMCID: PMC9800323 DOI: 10.1016/j.heliyon.2022.e12259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Revised: 12/01/2022] [Accepted: 12/02/2022] [Indexed: 12/15/2022] Open
Abstract
Brain diseases are very heterogeneous; however they also display multiple common risk factors and comorbidities. With a paucity of disease-modifying therapies, prevention became a health priority. Towards prevention, one strategy is to focus on similar symptoms of brain diseases occurring before disease onset. Cognitive deficits are a promising candidate as they occur across brain diseases before disease onset. Based on recent research, this review highlights the similarity of brain diseases and discusses how early cognitive deficits can be exploited to tackle disease prevention. After briefly introducing common risk factors, I review common comorbidities across brain diseases, with a focus on cognitive deficits before disease onset, reporting both experimental and clinical findings. Next, I describe network abnormalities associated with early cognitive deficits and discuss how these abnormalities can be targeted to prevent disease onset. A scenario on brain disease etiology with the idea that early cognitive deficits may constitute a common symptom of brain diseases is proposed.
Collapse
|
4
|
Gregersen M, Søndergaard A, Brandt JM, Ellersgaard D, Rohd SB, Hjorthøj C, Ohland J, Krantz MF, Wilms M, Andreassen AK, Knudsen CB, Veddum L, Greve A, Bliksted V, Mors O, Clemmensen L, Møllegaard Jepsen JR, Nordentoft M, Hemager N, Thorup AAE. Mental disorders in preadolescent children at familial high-risk of schizophrenia or bipolar disorder - a four-year follow-up study: The Danish High Risk and Resilience Study, VIA 11: The Danish High Risk and Resilience Study, VIA 11. J Child Psychol Psychiatry 2022; 63:1046-1056. [PMID: 34918345 DOI: 10.1111/jcpp.13548] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/27/2021] [Indexed: 12/19/2022]
Abstract
BACKGROUND Children at familial high-risk of schizophrenia and bipolar disorder have an elevated prevalence of mental disorders but studies of children within a narrow age range are lacking and there are few conjoint studies of these two groups. Knowledge on their mental health is important for prevention and early intervention. METHODS The authors examined mental disorders and global functioning in children at familial high-risk of schizophrenia (FHR-SZ) and bipolar disorder (FHR-BP) compared with population-based controls. In a longitudinal cohort study, 450 children (FHR-SZ, n = 171; FHR-BP, n = 104; controls, n = 175), were assessed for Axis I disorders at baseline and four-year follow-up (mean age 11.9, SD 0.2) with the Kiddie Schedule for Affective Disorders and Schizophrenia for School-Age Children and for global functioning with Children's Global Assessment Scale. RESULTS Cumulative incidence of Any Axis I disorder was elevated by age 11 in children at FHR-SZ (54.4%, OR 3.0, 95% CI 1.9-4.7, p < .001) and children at FHR-BP (52.9%, OR 2.8, 95% CI 1.7-4.7, p < .001) compared with controls (28.6%). Children at FHR-SZ and FHR-BP had higher rates of affective disorders (OR 4.4, 95% CI 1.4-13.5, p = .009; OR 5.1, 95% CI 1.6-16.4, p = .007), anxiety disorders (OR 2.1, 95% CI 1.1-4.0, p = .02; OR 3.0, 95% CI 1.5-6.1, p = .002), and stress and adjustment disorders (OR 3.3, 95% CI 1.4-7.5, p = .006; OR 5.3, 95% CI 2.2-12.4, p < .001). Disruptive behavior disorders (OR 2.8, 95% CI 1.0-7.3, p = .04) and ADHD (OR 2.9, 95% CI 1.6-5.3, p < .001) were elevated in children at FHR-SZ. Both FHR groups had lower global functioning than controls. Cumulative incidence of disorders increased equally across the three groups from early childhood to preadolescence and level of functioning did not change differentially. CONCLUSIONS Children at FHR-SZ and FHR-BP have an elevated prevalence of mental disorders and poorer functioning than controls. Vulnerability in children at FHR manifests early and remains stable throughout childhood. Early attention toward their mental health and identification of those in need of intervention is warranted.
Collapse
Affiliation(s)
- Maja Gregersen
- CORE-Copenhagen Research Center for Mental Health, Mental Health Center Copenhagen, Mental Health Services in the Capital Region of Denmark, Copenhagen, Denmark.,The Lundbeck Foundation Initiative for Integrative Psychiatric Research-iPSYCH, Aarhus, Denmark.,Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Anne Søndergaard
- CORE-Copenhagen Research Center for Mental Health, Mental Health Center Copenhagen, Mental Health Services in the Capital Region of Denmark, Copenhagen, Denmark.,The Lundbeck Foundation Initiative for Integrative Psychiatric Research-iPSYCH, Aarhus, Denmark.,Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Julie Marie Brandt
- CORE-Copenhagen Research Center for Mental Health, Mental Health Center Copenhagen, Mental Health Services in the Capital Region of Denmark, Copenhagen, Denmark.,The Lundbeck Foundation Initiative for Integrative Psychiatric Research-iPSYCH, Aarhus, Denmark.,Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Ditte Ellersgaard
- CORE-Copenhagen Research Center for Mental Health, Mental Health Center Copenhagen, Mental Health Services in the Capital Region of Denmark, Copenhagen, Denmark
| | - Sinnika Birkehøj Rohd
- CORE-Copenhagen Research Center for Mental Health, Mental Health Center Copenhagen, Mental Health Services in the Capital Region of Denmark, Copenhagen, Denmark.,The Lundbeck Foundation Initiative for Integrative Psychiatric Research-iPSYCH, Aarhus, Denmark
| | - Carsten Hjorthøj
- CORE-Copenhagen Research Center for Mental Health, Mental Health Center Copenhagen, Mental Health Services in the Capital Region of Denmark, Copenhagen, Denmark.,The Lundbeck Foundation Initiative for Integrative Psychiatric Research-iPSYCH, Aarhus, Denmark.,Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Jessica Ohland
- CORE-Copenhagen Research Center for Mental Health, Mental Health Center Copenhagen, Mental Health Services in the Capital Region of Denmark, Copenhagen, Denmark.,The Lundbeck Foundation Initiative for Integrative Psychiatric Research-iPSYCH, Aarhus, Denmark
| | - Mette Falkenberg Krantz
- CORE-Copenhagen Research Center for Mental Health, Mental Health Center Copenhagen, Mental Health Services in the Capital Region of Denmark, Copenhagen, Denmark.,The Lundbeck Foundation Initiative for Integrative Psychiatric Research-iPSYCH, Aarhus, Denmark.,Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Martin Wilms
- CORE-Copenhagen Research Center for Mental Health, Mental Health Center Copenhagen, Mental Health Services in the Capital Region of Denmark, Copenhagen, Denmark.,The Lundbeck Foundation Initiative for Integrative Psychiatric Research-iPSYCH, Aarhus, Denmark
| | - Anna Krogh Andreassen
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research-iPSYCH, Aarhus, Denmark.,Department of Clinical Medicine, Faculty of Health and Medical Sciences, Aarhus University, Aarhus, Denmark.,Psychosis Research Unit, Aarhus University Hospital Psychiatry, Aarhus, Denmark
| | - Christina Bruun Knudsen
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research-iPSYCH, Aarhus, Denmark.,Department of Clinical Medicine, Faculty of Health and Medical Sciences, Aarhus University, Aarhus, Denmark.,Psychosis Research Unit, Aarhus University Hospital Psychiatry, Aarhus, Denmark
| | - Lotte Veddum
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research-iPSYCH, Aarhus, Denmark.,Department of Clinical Medicine, Faculty of Health and Medical Sciences, Aarhus University, Aarhus, Denmark.,Psychosis Research Unit, Aarhus University Hospital Psychiatry, Aarhus, Denmark
| | - Aja Greve
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research-iPSYCH, Aarhus, Denmark.,Psychosis Research Unit, Aarhus University Hospital Psychiatry, Aarhus, Denmark
| | - Vibeke Bliksted
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, Aarhus University, Aarhus, Denmark.,Psychosis Research Unit, Aarhus University Hospital Psychiatry, Aarhus, Denmark
| | - Ole Mors
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research-iPSYCH, Aarhus, Denmark.,Department of Clinical Medicine, Faculty of Health and Medical Sciences, Aarhus University, Aarhus, Denmark.,Psychosis Research Unit, Aarhus University Hospital Psychiatry, Aarhus, Denmark
| | - Lars Clemmensen
- Child and Adolescent Mental Health Center, Mental Health Services in the Capital Region of Denmark, Copenhagen, Denmark
| | - Jens Richardt Møllegaard Jepsen
- CORE-Copenhagen Research Center for Mental Health, Mental Health Center Copenhagen, Mental Health Services in the Capital Region of Denmark, Copenhagen, Denmark.,The Lundbeck Foundation Initiative for Integrative Psychiatric Research-iPSYCH, Aarhus, Denmark.,Child and Adolescent Mental Health Center, Mental Health Services in the Capital Region of Denmark, Copenhagen, Denmark.,Center for Neuropsychiatric Schizophrenia Research and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Services in the Capital Region of Denmark, Copenhagen, Denmark
| | - Merete Nordentoft
- CORE-Copenhagen Research Center for Mental Health, Mental Health Center Copenhagen, Mental Health Services in the Capital Region of Denmark, Copenhagen, Denmark.,The Lundbeck Foundation Initiative for Integrative Psychiatric Research-iPSYCH, Aarhus, Denmark.,Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Nicoline Hemager
- CORE-Copenhagen Research Center for Mental Health, Mental Health Center Copenhagen, Mental Health Services in the Capital Region of Denmark, Copenhagen, Denmark.,The Lundbeck Foundation Initiative for Integrative Psychiatric Research-iPSYCH, Aarhus, Denmark.,Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Anne Amalie Elgaard Thorup
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research-iPSYCH, Aarhus, Denmark.,Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Child and Adolescent Mental Health Center, Mental Health Services in the Capital Region of Denmark, Copenhagen, Denmark
| |
Collapse
|
5
|
Eskridge CLM, Hochberger WC, Kaseda ET, Lencer R, Reilly JL, Keedy SK, Keefe RSE, Pearlson GD, Keshavan MS, Tamminga CA, Sweeney JA, Hill SK. Deficits in generalized cognitive ability, visual sensorimotor function, and inhibitory control represent discrete domains of neurobehavioral deficit in psychotic disorders. Schizophr Res 2021; 236:54-60. [PMID: 34392106 PMCID: PMC8464494 DOI: 10.1016/j.schres.2021.07.036] [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: 11/10/2020] [Revised: 05/06/2021] [Accepted: 07/26/2021] [Indexed: 10/20/2022]
Abstract
Psychotic disorders are characterized by impaired cognition, yet some reports indicate specific deficits extend beyond reduced general cognitive ability. This study utilized exploratory and confirmatory factor analytic methods to evaluate the latent structure of a broad neurocognitive battery used in the Bipolar-Schizophrenia Network of Intermediate Phenotypes (B-SNIP) study, which included neuropsychological and neurophysiological measures in psychotic disorder probands and their unaffected first-degree relatives. Findings indicate that the factor structure of data from this set of assessments is more complex than the unitary factor of global cognitive ability underlying the Brief Assessment of Cognition in Schizophrenia (BACS). In addition to assessing generalized cognitive ability, two other factors were identified: visual sensorimotor function and inhibitory behavioral control. This complex cognitive architecture, derived in controls, generalized to patients across the psychosis spectrum and to their unaffected relatives. These findings highlight the need for a more differentiated assessment of neurobehavioral functions in studies designed to test for diagnostically specific biomarkers, endophenotypes for gene discovery and beneficial effects of therapeutics on cognitive function.
Collapse
Affiliation(s)
- Courtney L M Eskridge
- Rosalind Franklin University of Medicine and Science, Department of Psychology, North Chicago, IL, United States.
| | - William C Hochberger
- Advanced Neurobehavioral Health of Southern California, San Diego, CA, United States
| | - Erin T Kaseda
- Rosalind Franklin University of Medicine and Science, Department of Psychology, North Chicago, IL, United States
| | - Rebekka Lencer
- University of Muenster, Department of Psychiatry and Psychotherapy, Munster, Germany
| | - James L Reilly
- Northwestern University, Department of Psychiatry and Behavioral Sciences, Chicago, IL, United States
| | - Sarah K Keedy
- University of Chicago, Department of Psychiatry, Chicago, IL, United States
| | - Richard S E Keefe
- Duke University, Departments of Psychiatry, Neuroscience, and Psychology, Durham, NC, United States
| | - Godfrey D Pearlson
- Yale University School of Medicine, Departments of Psychiatry and Neurobiology, New Haven, CT, United States
| | - Matcheri S Keshavan
- Beth Israel Deaconess Medical Center and Harvard Medical School, Department of Psychiatry, Boston, MA, United States
| | - Carol A Tamminga
- University of Texas-Southwestern University Hospital, Department of Psychiatry, Dallas, TX, United States
| | - John A Sweeney
- University of Cincinnati, Department of Psychiatry and Behavioral Neuroscience, Cincinnati, OH, United States
| | - S Kristian Hill
- Rosalind Franklin University of Medicine and Science, Department of Psychology, North Chicago, IL, United States
| |
Collapse
|
6
|
Eum S, Hill SK, Alliey-Rodriguez N, Stevenson JM, Rubin LH, Lee AM, Mills LJ, Reilly JL, Lencer R, Keedy SK, Ivleva E, Keefe RSE, Pearlson GD, Clementz BA, Tamminga CA, Keshavan MS, Gershon ES, Sweeney JA, Bishop JR. Genome-wide association study accounting for anticholinergic burden to examine cognitive dysfunction in psychotic disorders. Neuropsychopharmacology 2021; 46:1802-1810. [PMID: 34145405 PMCID: PMC8358015 DOI: 10.1038/s41386-021-01057-8] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Revised: 05/17/2021] [Accepted: 06/03/2021] [Indexed: 12/13/2022]
Abstract
Identifying genetic contributors to cognitive impairments in psychosis-spectrum disorders can advance understanding of disease pathophysiology. Although CNS medications are known to affect cognitive performance, they are often not accounted for in genetic association studies. In this study, we performed a genome-wide association study (GWAS) of global cognitive performance, measured as composite z-scores from the Brief Assessment of Cognition in Schizophrenia (BACS), in persons with psychotic disorders and controls (N = 817; 682 cases and 135 controls) from the Bipolar-Schizophrenia Network on Intermediate Phenotypes (B-SNIP) study. Analyses accounting for anticholinergic exposures from both psychiatric and non-psychiatric medications revealed five significantly associated variants located at the chromosome 3p21.1 locus, with the top SNP rs1076425 in the inter-alpha-trypsin inhibitor heavy chain 1 (ITIH1) gene (P = 3.25×E-9). The inclusion of anticholinergic burden improved association models (P < 0.001) and the number of significant SNPs identified. The effect sizes and direction of effect of the top variants remained consistent when investigating findings within individuals receiving specific antipsychotic drugs and after accounting for antipsychotic dose. These associations were replicated in a separate study sample of untreated first-episode psychosis. The chromosome 3p21.1 locus was previously reported to have association with the risk for psychotic disorders and cognitive performance in healthy individuals. Our findings suggest that this region may be a psychosis risk locus that is associated with cognitive mechanisms. Our data highlight the general point that the inclusion of medication exposure information may improve the detection of gene-cognition associations in psychiatric genetic research.
Collapse
Affiliation(s)
- Seenae Eum
- grid.412555.20000 0001 0511 4494Department of Pharmacogenomics, Shenandoah University, Fairfax, VA USA
| | - S. Kristian Hill
- grid.262641.50000 0004 0388 7807Department of Psychology, Rosalind Franklin University of Medicine and Science, North Chicago, IL USA
| | - Ney Alliey-Rodriguez
- grid.170205.10000 0004 1936 7822Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL USA
| | - James M. Stevenson
- grid.21107.350000 0001 2171 9311Division of Clinical Pharmacology, Department of Medicine, Johns Hopkins University, Baltimore, MD USA
| | - Leah H. Rubin
- grid.21107.350000 0001 2171 9311Departments of Neurology, Psychiatry, and Epidemiology, Johns Hopkins University, Baltimore, MD USA
| | - Adam M. Lee
- grid.17635.360000000419368657Department of Experimental and Clinical Pharmacology, University of Minnesota, Minneapolis, MN USA
| | - Lauren J. Mills
- grid.17635.360000000419368657Masonic Cancer Center and Department of Pediatrics, University of Minnesota, Minneapolis, MN USA
| | - James L. Reilly
- grid.16753.360000 0001 2299 3507Department of Psychiatry and Behavioral Sciences, Northwestern University, Chicago, IL USA
| | - Rebekka Lencer
- grid.5949.10000 0001 2172 9288Institute of Translational Psychiatry and Otto Creutzfeldt Center for Cognitive and Behavioral Neuroscience, University of Muenster, Muenster, Germany ,grid.4562.50000 0001 0057 2672Department of Psychiatry and Psychotherapy, University of Luebeck, Luebeck, Germany
| | - Sarah K. Keedy
- grid.170205.10000 0004 1936 7822Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL USA
| | - Elena Ivleva
- grid.267313.20000 0000 9482 7121Department of Psychiatry, UT Southwestern Medical Center, Dallas, TX USA
| | - Richard S. E. Keefe
- grid.26009.3d0000 0004 1936 7961Department of Psychiatry, Duke University School of Medicine, Durham, NC USA
| | - Godfrey D. Pearlson
- grid.277313.30000 0001 0626 2712Departments of Psychiatry and Neuroscience, Yale School of Medicine, Olin Center, Institute of Living, Hartford Healthcare, Hartford, CT USA
| | - Brett A. Clementz
- grid.213876.90000 0004 1936 738XDepartment of Psychology, University of Georgia, Athens, GA USA
| | - Carol A. Tamminga
- grid.267313.20000 0000 9482 7121Department of Psychiatry, UT Southwestern Medical Center, Dallas, TX USA
| | - Matcheri S. Keshavan
- grid.239395.70000 0000 9011 8547Beth Israel Deaconess Medical Center, Boston, MA USA ,grid.38142.3c000000041936754XDepartment of Psychiatry, Harvard Medical School, Boston, MA USA
| | - Elliot S. Gershon
- grid.170205.10000 0004 1936 7822Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL USA
| | - John A. Sweeney
- grid.413561.40000 0000 9881 9161Department of Psychiatry, University of Cincinnati Medical Center, Cincinnati, OH USA
| | - Jeffrey R. Bishop
- grid.17635.360000000419368657Department of Experimental and Clinical Pharmacology, University of Minnesota, Minneapolis, MN USA ,grid.17635.360000000419368657Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN USA
| |
Collapse
|
7
|
Yaple ZA, Tolomeo S, Yu R. Mapping working memory-specific dysfunction using a transdiagnostic approach. NEUROIMAGE-CLINICAL 2021; 31:102747. [PMID: 34256292 PMCID: PMC8278205 DOI: 10.1016/j.nicl.2021.102747] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Accepted: 06/26/2021] [Indexed: 01/17/2023]
Abstract
Background Working memory (WM) is an executive ability that allows one to hold and manipulate information for a short period of time. Schizophrenia and mood disorders are severe psychiatric conditions with overlapping genetic and clinical symptoms. Whilst WM has been suggested as meeting the criteria for being an endophenotype for schizophrenia and mood disorders, it still unclear whether they share overlapping neural circuitry. Objective The n-back task has been widely used to measure WM capacity, such as maintenance, flexible updating, and interference control. Here we compiled studies that included psychiatric populations, i.e., schizophrenia, bipolar disorder and major depressive disorder. Methods We performed a coordinate-based meta-analysis that combined 34 BOLD-fMRI studies comparing activity associated with n-back working memory between psychiatric patients and healthy controls. We specifically focused our search using the n-back task to diminish study heterogeneity. Results All patient groups showed blunted activity in the striatum, anterior insula and frontal lobe. The same brain networks related to WM were compromised in schizophrenia, major depressive disorder and bipolar disorder. Conclusion Our findings support the suggestion of commonal functional abnormalities across schizophrenia and mood disorders related to WM.
Collapse
Affiliation(s)
| | - Serenella Tolomeo
- Department of Psychology, National University of Singapore, Singapore
| | - Rongjun Yu
- Department of Management, Hong Kong Baptist University, Hong Kong, China; Department of Sport, Physical Education and Health, Hong Kong Baptist University, Hong Kong, China; Department of Physics, Hong Kong Baptist University, Hong Kong, China.
| |
Collapse
|
8
|
Simoila L, Isometsä E, Gissler M, Suvisaari J, Sailas E, Halmesmäki E, Lindberg N. Pregnancy, delivery and postpartum in women with schizophrenia or schizoaffective disorder in Finland: a national register-based comparative study. Psychiatry Res 2020; 294:113504. [PMID: 33068910 DOI: 10.1016/j.psychres.2020.113504] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Accepted: 10/07/2020] [Indexed: 10/23/2022]
Abstract
As part of anational Finnish study on reproductive health of women with severe mental disorders, we compared pregnancy- and delivery-, and postpartum-related outcomes between women with schizophrenia (n = 3444) and those with schizoaffective disorder (n = 985), focusing on their singleton pregnancies after illness onset (n = 708 and n = 242, respectively). For comparison, data also included 22,101 controls with 3668 pregnancies. The Finnish Medical Birth Register, the Register of Congenital Malformations and the Child Welfare Register were used. Despite known differences between the two disorders, we found no robust differences between these patient groups.
Collapse
Affiliation(s)
- L Simoila
- Psychiatry, Helsinki University and Helsinki University Hospital, P.O. Box 590, 00029 HUS, Finland
| | - E Isometsä
- Psychiatry, Helsinki University and Helsinki University Hospital, P.O. Box 590, 00029 HUS, Finland
| | - M Gissler
- Information Services Department, Finnish Institute for Health and Welfare, Mannerheimintie 166, 00270 Helsinki, Finland; Research Centre for Child Psychiatry, University of Turku, Lemminkäisenkatu 3, 20520 Turku, Finland; Department of Neurobiology, Care Sciences and Society, Division of Family Medicine, Karolinska Institute, Alfred Nobels alle 23, 14183 Huddinge, Sweden
| | - J Suvisaari
- Mental Health Unit, Finnish Institute for Health and Welfare, P.O. Box 30, 00271 Helsinki, Finland
| | - E Sailas
- Psychiatry, Helsinki University and Helsinki University Hospital, P.O. Box 590, 00029 HUS, Finland
| | | | - Nina Lindberg
- Forensic Psychiatry, Helsinki University and Helsinki University Hospital, P.O. Box 590, 00029 HUS, Finland.
| |
Collapse
|
9
|
Harvey PD, Sun N, Bigdeli TB, Fanous AH, Aslan M, Malhotra AK, Lu Q, Hu Y, Li B, Chen Q, Mane S, Miller P, Rajeevan N, Sayward F, Cheung KH, Li Y, Greenwood TA, Gur RE, Braff DL, Brophy M, Pyarajan S, O'Leary TJ, Gleason T, Przygodszki R, Muralidhar S, Gaziano JM, Concato J, Zhao H, Siever LJ. Genome-wide association study of cognitive performance in U.S. veterans with schizophrenia or bipolar disorder. Am J Med Genet B Neuropsychiatr Genet 2020; 183:181-194. [PMID: 31872970 DOI: 10.1002/ajmg.b.32775] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2019] [Revised: 11/22/2019] [Accepted: 12/09/2019] [Indexed: 12/25/2022]
Abstract
Cognitive impairment is a frequent and serious problem in patients with various forms of severe mental illnesses (SMI), including schizophrenia (SZ) and bipolar disorder (BP). Recent research suggests genetic links to several cognitive phenotypes in both SMI and in the general population. Our goal in this study was to identify potential genomic signatures of cognitive functioning in veterans with severe mental illness and compare them to previous findings for cognition across different populations. Veterans Affairs (VA) Cooperative Studies Program (CSP) Study #572 evaluated cognitive and functional capacity measures among SZ and BP patients. In conjunction with the VA Million Veteran Program, 3,959 European American (1,095 SZ, 2,864 BP) and 2,601 African American (1,095 SZ, 2,864 BP) patients were genotyped using a custom Affymetrix Axiom Biobank array. We performed a genome-wide association study of global cognitive functioning, constructed polygenic scores for SZ and cognition in the general population, and examined genetic correlations with 2,626 UK Biobank traits. Although no single locus attained genome-wide significance, observed allelic effects were strongly consistent with previous studies. We observed robust associations between global cognitive functioning and polygenic scores for cognitive performance, intelligence, and SZ risk. We also identified significant genetic correlations with several cognition-related traits in UK Biobank. In a diverse cohort of U.S. veterans with SZ or BP, we demonstrate broad overlap of common genetic effects on cognition in the general population, and find that greater polygenic loading for SZ risk is associated with poorer cognitive performance.
Collapse
Affiliation(s)
- Philip D Harvey
- Research Service, Bruce W. Carter Miami Veterans Affairs (VA) Medical Center, Miami, Florida.,Department of Psychiatry and Behavioral Sciences, University of Miami School of Medicine, Miami, Florida
| | - Ning Sun
- Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, Connecticut.,Yale University School of Medicine, New Haven, Connecticut
| | - Tim B Bigdeli
- Department of Psychiatry, VA New York Harbor Healthcare System, Brooklyn, New York.,Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, New York
| | - Ayman H Fanous
- Department of Psychiatry, VA New York Harbor Healthcare System, Brooklyn, New York.,Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, New York
| | - Mihaela Aslan
- Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, Connecticut.,Yale University School of Medicine, New Haven, Connecticut
| | - Anil K Malhotra
- Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, New York.,Division of Psychiatry Research, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, New York.,Department of Psychiatry, Hofstra Northwell School of Medicine, Hempstead, New York
| | - Qiongshi Lu
- Yale University School of Medicine, New Haven, Connecticut.,Department of Biostatistics & Medical Informatics, University of Wisconsin-Madison, Madison, Wisconsin
| | - Yiming Hu
- Yale University School of Medicine, New Haven, Connecticut
| | - Boyang Li
- Yale University School of Medicine, New Haven, Connecticut
| | - Quan Chen
- Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, Connecticut.,Yale University School of Medicine, New Haven, Connecticut
| | - Shrikant Mane
- Yale University School of Medicine, New Haven, Connecticut
| | - Perry Miller
- Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, Connecticut.,Yale University School of Medicine, New Haven, Connecticut
| | - Nallakkandi Rajeevan
- Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, Connecticut.,Yale University School of Medicine, New Haven, Connecticut
| | - Frederick Sayward
- Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, Connecticut.,Yale University School of Medicine, New Haven, Connecticut
| | - Kei-Hoi Cheung
- Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, Connecticut.,Yale University School of Medicine, New Haven, Connecticut
| | - Yuli Li
- Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, Connecticut.,Yale University School of Medicine, New Haven, Connecticut
| | | | - Raquel E Gur
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine and Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.,Department of Child & Adolescent Psychiatry and Lifespan Brain Institute, University of Pennsylvania Perelman School of Medicine and Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - David L Braff
- Department of Psychiatry, University of California, San Diego, California.,VISN-22 Mental Illness, Research, Education and Clinical Center (MIRECC), VA San Diego Healthcare System, San Diego, California
| | | | - Mary Brophy
- Massachusetts Area Veterans Epidemiology Research, and Information Center (MAVERIC), Jamaica Plain, Massachusetts.,Boston University School of Medicine, Boston, Massachusetts
| | - Saiju Pyarajan
- Massachusetts Area Veterans Epidemiology Research, and Information Center (MAVERIC), Jamaica Plain, Massachusetts
| | - Timothy J O'Leary
- Office of Research and Development, Veterans Health Administration, Washington, District of Columbia
| | - Theresa Gleason
- Office of Research and Development, Veterans Health Administration, Washington, District of Columbia
| | - Ronald Przygodszki
- Office of Research and Development, Veterans Health Administration, Washington, District of Columbia
| | - Sumitra Muralidhar
- Office of Research and Development, Veterans Health Administration, Washington, District of Columbia
| | - J Michael Gaziano
- Massachusetts Area Veterans Epidemiology Research, and Information Center (MAVERIC), Jamaica Plain, Massachusetts.,Department of Medicine, Harvard University, Boston, Massachusetts
| | - John Concato
- Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, Connecticut.,Yale University School of Medicine, New Haven, Connecticut
| | - Hongyu Zhao
- Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, Connecticut.,Yale University School of Medicine, New Haven, Connecticut
| | - Larry J Siever
- James J. Peters Veterans Affairs Medical Center, Bronx, New York.,Department of Psychiatry, Mount Sinai School of Medicine, New York, New York
| |
Collapse
|
10
|
Chick CF, Rolle C, Trivedi HM, Monuszko K, Etkin A. Transcranial magnetic stimulation demonstrates a role for the ventrolateral prefrontal cortex in emotion perception. Psychiatry Res 2020; 284:112515. [PMID: 31831202 DOI: 10.1016/j.psychres.2019.112515] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2018] [Revised: 08/09/2019] [Accepted: 08/10/2019] [Indexed: 01/11/2023]
Abstract
The lateral prefrontal cortex, a region with both structural and functional connectivity to the amygdala, has been consistently implicated in the downregulation of subcortical-generated emotional responses. Although previous work has demonstrated that the ventral lateral prefrontal cortex (vlPFC) is important to emotion processing, no study has interrupted vlPFC function in order to test is role in emotion perception. In the current study, we acutely disrupted vlPFC function in twenty healthy adult participants by administering sham stimulation and transcranial magnetic stimulation (TMS), in randomized order, during performance of an emotional perception task. During sham stimulation, participants demonstrated increased perceptual sensitivity for happy faces compared to angry faces. Disruption of the vlPFC eliminated this difference: in this condition, perceptual sensitivity did not differ between happy and angry faces. Reaction times and response bias did not differ between emotions or TMS conditions. This pattern of perceptual bias is consistent with effects observed in a wide range of affective disorders, in which vlPFC dysfunction has also been reported. This study provides insight into a possible mechanism through which the vlPFC may contribute to emotion perception.
Collapse
Affiliation(s)
- Christina F Chick
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California 94305, USA; Sierra Pacific Mental Illness Research, Education, and Clinical Center, Veterans Affairs Palo Alto Health Care System, Palo Alto, California 94304, USA; Stanford Neurosciences Institute, Stanford University, California 94305, USA.
| | - Cammie Rolle
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California 94305, USA; Sierra Pacific Mental Illness Research, Education, and Clinical Center, Veterans Affairs Palo Alto Health Care System, Palo Alto, California 94304, USA; Stanford Neurosciences Institute, Stanford University, California 94305, USA
| | - Hersh M Trivedi
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California 94305, USA; Sierra Pacific Mental Illness Research, Education, and Clinical Center, Veterans Affairs Palo Alto Health Care System, Palo Alto, California 94304, USA; Stanford Neurosciences Institute, Stanford University, California 94305, USA
| | - Karen Monuszko
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California 94305, USA; Sierra Pacific Mental Illness Research, Education, and Clinical Center, Veterans Affairs Palo Alto Health Care System, Palo Alto, California 94304, USA; Stanford Neurosciences Institute, Stanford University, California 94305, USA
| | - Amit Etkin
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California 94305, USA; Sierra Pacific Mental Illness Research, Education, and Clinical Center, Veterans Affairs Palo Alto Health Care System, Palo Alto, California 94304, USA; Stanford Neurosciences Institute, Stanford University, California 94305, USA
| |
Collapse
|
11
|
Ji E, Guevara P, Guevara M, Grigis A, Labra N, Sarrazin S, Hamdani N, Bellivier F, Delavest M, Leboyer M, Tamouza R, Poupon C, Mangin JF, Houenou J. Increased and Decreased Superficial White Matter Structural Connectivity in Schizophrenia and Bipolar Disorder. Schizophr Bull 2019; 45:1367-1378. [PMID: 30953566 PMCID: PMC6811818 DOI: 10.1093/schbul/sbz015] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Schizophrenia (SZ) and bipolar disorder (BD) are often conceptualized as "disconnection syndromes," with substantial evidence of abnormalities in deep white matter tracts, forming the substrates of long-range connectivity, seen in both disorders. However, the study of superficial white matter (SWM) U-shaped short-range tracts remained challenging until recently, although findings from postmortem studies suggest they are likely integral components of SZ and BD neuropathology. This diffusion weighted imaging (DWI) study aimed to investigate SWM microstructure in vivo in both SZ and BD for the first time. We performed whole brain tractography in 31 people with SZ, 32 people with BD and 54 controls using BrainVISA and Connectomist 2.0. Segmentation and labeling of SWM tracts were performed using a novel, comprehensive U-fiber atlas. Analysis of covariances yielded significant generalized fractional anisotropy (gFA) differences for 17 SWM bundles in frontal, parietal, and temporal cortices. Post hoc analyses showed gFA reductions in both patient groups as compared with controls in bundles connecting regions involved in language processing, mood regulation, working memory, and motor function (pars opercularis, insula, anterior cingulate, precentral gyrus). We also found increased gFA in SZ patients in areas overlapping the default mode network (inferior parietal, middle temporal, precuneus), supporting functional hyperconnectivity of this network evidenced in SZ. We thus illustrate that short U-fibers are vulnerable to the pathological processes in major psychiatric illnesses, encouraging improved understanding of their anatomy and function.
Collapse
Affiliation(s)
- Ellen Ji
- INSERM U955 Unit, Mondor Institute for Biomedical Research, Team 15 “Translational Psychiatry”, Créteil, France,NeuroSpin CEA Saclay, Gif-sur-Yvette, France,Fondation Fondamental, Créteil, France,To whom correspondence should be addressed; INSERM U955, Hôpitaux Universitaires Mondor, 40 rue de Mesly, Créteil 94010, France; tel: +33-1-49-81-30-51, fax: +33-1-49-81-30-59, e-mail:
| | - Pamela Guevara
- Faculty of Engineering, Universidad de Concepción, Concepción, Chile
| | | | | | | | - Samuel Sarrazin
- INSERM U955 Unit, Mondor Institute for Biomedical Research, Team 15 “Translational Psychiatry”, Créteil, France,NeuroSpin CEA Saclay, Gif-sur-Yvette, France,Fondation Fondamental, Créteil, France
| | - Nora Hamdani
- INSERM U955 Unit, Mondor Institute for Biomedical Research, Team 15 “Translational Psychiatry”, Créteil, France,Fondation Fondamental, Créteil, France,AP-HP, Department of Psychiatry and Addictology, Mondor University Hospitals, School of Medicine, DHU PePsy, Créteil, France
| | - Frank Bellivier
- AP-HP, GH Saint-Louis - Lariboisière - F. Widal, Département de Psychiatrie et de Médecine Additologique, INSERM UMR-S1144, Paris Diderot University, Paris, France
| | - Marine Delavest
- AP-HP, GH Saint-Louis - Lariboisière - F. Widal, Département de Psychiatrie et de Médecine Additologique, INSERM UMR-S1144, Paris Diderot University, Paris, France
| | - Marion Leboyer
- INSERM U955 Unit, Mondor Institute for Biomedical Research, Team 15 “Translational Psychiatry”, Créteil, France,Fondation Fondamental, Créteil, France,AP-HP, Department of Psychiatry and Addictology, Mondor University Hospitals, School of Medicine, DHU PePsy, Créteil, France
| | - Ryad Tamouza
- INSERM U955 Unit, Mondor Institute for Biomedical Research, Team 15 “Translational Psychiatry”, Créteil, France,Fondation Fondamental, Créteil, France,AP-HP, GH Saint-Louis - Lariboisière - F. Widal, Département de Psychiatrie et de Médecine Additologique, INSERM UMR-S1144, Paris Diderot University, Paris, France
| | | | | | - Josselin Houenou
- INSERM U955 Unit, Mondor Institute for Biomedical Research, Team 15 “Translational Psychiatry”, Créteil, France,NeuroSpin CEA Saclay, Gif-sur-Yvette, France,Fondation Fondamental, Créteil, France,AP-HP, Department of Psychiatry and Addictology, Mondor University Hospitals, School of Medicine, DHU PePsy, Créteil, France
| |
Collapse
|
12
|
Meller T, Schmitt S, Stein F, Brosch K, Mosebach J, Yüksel D, Zaremba D, Grotegerd D, Dohm K, Meinert S, Förster K, Redlich R, Opel N, Repple J, Hahn T, Jansen A, Andlauer TFM, Forstner AJ, Heilmann-Heimbach S, Streit F, Witt SH, Rietschel M, Müller-Myhsok B, Nöthen MM, Dannlowski U, Krug A, Kircher T, Nenadić I. Associations of schizophrenia risk genes ZNF804A and CACNA1C with schizotypy and modulation of attention in healthy subjects. Schizophr Res 2019; 208:67-75. [PMID: 31076262 DOI: 10.1016/j.schres.2019.04.018] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2018] [Revised: 03/05/2019] [Accepted: 04/20/2019] [Indexed: 12/30/2022]
Abstract
Schizotypy is a multidimensional risk phenotype distributed in the general population, constituting of subclinical, psychotic-like symptoms. It is associated with psychosis proneness, and several risk genes for psychosis are associated with schizotypy in non-clinical populations. Schizotypy might also modulate cognitive abilities as it is associated with attentional deficits in healthy subjects. In this study, we tested the hypothesis that established genetic risk variants ZNF804A rs1344706 and CACNA1C rs1006737 are associated with psychometric schizotypy and that schizotypy mediates their effect on attention or vice versa. In 615 healthy subjects from the FOR2107 cohort study, we analysed the genetic risk variants ZNF804A rs1344706 and CACNA1C rs1006737, psychometric schizotypy (schizotypal personality questionnaire-brief SPQB), and a neuropsychological measure of sustained and selective attention (d2 test). ZNF804A rs1344706 C (non-risk) alleles were significantly associated with higher SPQ-B Cognitive-Perceptual subscores in women and with attention deficits in both sexes. This schizotypy dimension also mediated the effect of ZNF804A on attention in women, but not in men. CACNA1C rs1006737-A showed a significant sex-modulated negative association with Interpersonal schizotypy only in men, and no effect on attention. Our multivariate model demonstrates differential genetic contributions of two psychosis risk genes to dimensions of schizotypy and, partly, to attention. This supports a model of shared genetic influence between schizotypy and cognitive functions impaired in schizophrenia.
Collapse
Affiliation(s)
- Tina Meller
- Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg and University Hospital Marburg, UKGM, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany; Center for Mind, Brain and Behavior (CMBB), Hans-Meerwein-Str. 6, 35032 Marburg, Germany.
| | - Simon Schmitt
- Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg and University Hospital Marburg, UKGM, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany; Center for Mind, Brain and Behavior (CMBB), Hans-Meerwein-Str. 6, 35032 Marburg, Germany
| | - Frederike Stein
- Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg and University Hospital Marburg, UKGM, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany; Center for Mind, Brain and Behavior (CMBB), Hans-Meerwein-Str. 6, 35032 Marburg, Germany
| | - Katharina Brosch
- Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg and University Hospital Marburg, UKGM, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany; Center for Mind, Brain and Behavior (CMBB), Hans-Meerwein-Str. 6, 35032 Marburg, Germany
| | - Johannes Mosebach
- Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg and University Hospital Marburg, UKGM, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany
| | - Dilara Yüksel
- Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg and University Hospital Marburg, UKGM, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany; SRI International, Center for Health Sciences, Bioscience Division, 333 Ravenswood Avenue, 94025 Menlo Park, CA, USA
| | - Dario Zaremba
- Department of Psychiatry and Psychotherapy, Westfälische Wilhelms-Universität Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Dominik Grotegerd
- Department of Psychiatry and Psychotherapy, Westfälische Wilhelms-Universität Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Katharina Dohm
- Department of Psychiatry and Psychotherapy, Westfälische Wilhelms-Universität Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Susanne Meinert
- Department of Psychiatry and Psychotherapy, Westfälische Wilhelms-Universität Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Katharina Förster
- Department of Psychiatry and Psychotherapy, Westfälische Wilhelms-Universität Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Ronny Redlich
- Department of Psychiatry and Psychotherapy, Westfälische Wilhelms-Universität Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Nils Opel
- Department of Psychiatry and Psychotherapy, Westfälische Wilhelms-Universität Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Jonathan Repple
- Department of Psychiatry and Psychotherapy, Westfälische Wilhelms-Universität Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Tim Hahn
- Department of Psychiatry and Psychotherapy, Westfälische Wilhelms-Universität Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Andreas Jansen
- Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg and University Hospital Marburg, UKGM, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany; Center for Mind, Brain and Behavior (CMBB), Hans-Meerwein-Str. 6, 35032 Marburg, Germany; Core-Facility BrainImaging, Faculty of Medicine, Philipps-Universität Marburg, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany
| | - Till F M Andlauer
- Max-Planck-Institute of Psychiatry, Kraepelinstr. 2-10, 80804 Munich, Germany; Department of Neurology, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Straße 22, 81675 Munich, Germany
| | - Andreas J Forstner
- Institute of Human Genetics, University of Bonn School of Medicine & University Hospital Bonn, Sigmund-Freud-Straße 25, 53127 Bonn, Germany; Institute of Human Genetics, Philipps-Universität Marburg, Baldingerstraße, 35033 Marburg, Germany; Department of Biomedicine, University of Basel, Hebelstrasse 20, 4031 Basel, Switzerland; Institute of Medical Genetics and Pathology, University Hospital Basel, Schönbeinstr. 40, 4056 Basel, Switzerland
| | - Stefanie Heilmann-Heimbach
- Institute of Human Genetics, University of Bonn School of Medicine & University Hospital Bonn, Sigmund-Freud-Straße 25, 53127 Bonn, Germany
| | - Fabian Streit
- Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, J5, 68159 Mannheim, Germany
| | - Stephanie H Witt
- Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, J5, 68159 Mannheim, Germany
| | - Marcella Rietschel
- Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, J5, 68159 Mannheim, Germany
| | - Bertram Müller-Myhsok
- Max-Planck-Institute of Psychiatry, Kraepelinstr. 2-10, 80804 Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Feodor-Lynen-Str. 17, 81377 Munich, Germany; Institute of Translational Medicine, University of Liverpool, Crown Street, Liverpool L69 3BX, UK
| | - Markus M Nöthen
- Institute of Human Genetics, University of Bonn School of Medicine & University Hospital Bonn, Sigmund-Freud-Straße 25, 53127 Bonn, Germany
| | - Udo Dannlowski
- Department of Psychiatry and Psychotherapy, Westfälische Wilhelms-Universität Münster, Albert-Schweitzer-Campus 1, Building A9, 48149 Münster, Germany
| | - Axel Krug
- Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg and University Hospital Marburg, UKGM, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany; Center for Mind, Brain and Behavior (CMBB), Hans-Meerwein-Str. 6, 35032 Marburg, Germany
| | - Tilo Kircher
- Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg and University Hospital Marburg, UKGM, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany; Center for Mind, Brain and Behavior (CMBB), Hans-Meerwein-Str. 6, 35032 Marburg, Germany
| | - Igor Nenadić
- Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg and University Hospital Marburg, UKGM, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany; Center for Mind, Brain and Behavior (CMBB), Hans-Meerwein-Str. 6, 35032 Marburg, Germany
| |
Collapse
|
13
|
Dauvermann MR, Donohoe G. The role of childhood trauma in cognitive performance in schizophrenia and bipolar disorder - A systematic review. SCHIZOPHRENIA RESEARCH-COGNITION 2018; 16:1-11. [PMID: 30581765 PMCID: PMC6293032 DOI: 10.1016/j.scog.2018.11.001] [Citation(s) in RCA: 43] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/27/2018] [Revised: 11/09/2018] [Accepted: 11/27/2018] [Indexed: 12/13/2022]
Abstract
Childhood trauma (CT) has repeatedly been associated with cognitive deficits in patients with psychosis but many inconsistencies have been reported so that the nature of the relationship remains unclear. The purpose of this review was to better characterize the contribution of CT to cognitive deficits by considering the type, severity and frequency of childhood traumatic events and their relationships with psychosis at all stages. Relevant studies were identified via electronic and manual literature searches and included original studies that investigated the relationship between CT and higher cognitive performance or social cognitive performance in patients with schizophrenia, bipolar disorder and psychosis at all stages of the illness stages (i.e. ultra-high risk, first episode or chronic phase). Overall, a majority of studies reported that patients who experienced CT displayed deficits in general cognitive ability compared to patients with psychosis without such a history. Associations between CT and other cognitive function were more mixed. When comparing patient groups, the association between CT and cognitive function was more inconsistent in patients with chronic schizophrenia than in healthy participants, ultra-high risk individuals, first-episode patients and patients with chronic bipolar disorder. In understanding the variability in the reported relationships between CT and cognition across study populations, we highlight the variety of questionnaires used and discuss the likelihood of there being differences in cognitive function based on specific stressors, severity and frequency. Finally, we consider future research steps that may shed light on psychobiological mechanisms underlying CT and cognitive performance in patients with psychosis.
Collapse
|
14
|
Yasmin N, Pandey R. Prospective memory, working memory, planning, and attention in schizophrenia and bipolar disorder: A comparative study. APPLIED COGNITIVE PSYCHOLOGY 2018. [DOI: 10.1002/acp.3423] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- Natasha Yasmin
- School of Psychology; University of Birmingham; Birmingham UK
| | - Rashmi Pandey
- Department of Clinical Psychology, Amity Institute of Behavioural Health & Allied Sciences; AMITY University; Noida India
| |
Collapse
|
15
|
Cognitive burden of anticholinergic medications in psychotic disorders. Schizophr Res 2017; 190:129-135. [PMID: 28390849 PMCID: PMC5628100 DOI: 10.1016/j.schres.2017.03.034] [Citation(s) in RCA: 57] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2017] [Revised: 03/10/2017] [Accepted: 03/13/2017] [Indexed: 12/25/2022]
Abstract
BACKGROUND Patients with psychotic disorders are often treated with numerous medications, many of which have anticholinergic activity. We assessed cognition in relation to the cumulative anticholinergic burden of multiple drugs included in treatment regimens of participants from the Bipolar-Schizophrenia Network on Intermediate Phenotypes (B-SNIP) study. METHOD Clinically stable participants with schizophrenia (n=206), schizoaffective disorder (n=131), and psychotic bipolar disorder (n=146) were examined. Anticholinergic properties of all scheduled drugs were quantified using the Anticholinergic Drug Scale (ADS). ADS scores were summed across individual drugs to create a total ADS burden score for each participant and examined in relation to the Brief Assessment of Cognition in Schizophrenia (BACS). RESULTS Anticholinergic burden aggregated across all medications was inversely related to cognitive performance starting at ADS scores of 4 in participants with schizophrenia. Those with ADS scores ≥4 had lower composite BACS scores compared to those with ADS<4 (p=0.004). Among BACS subtests, Verbal Memory was the most adversely affected by high anticholinergic burden. Despite similar anticholinergic burden scores across groups, a significant threshold effect of anticholinergic burden was not detected in schizoaffective or psychotic bipolar disorder. CONCLUSION We identified an adverse effect threshold of anticholinergic burden on cognition in clinically stable participants with schizophrenia. This relationship was not identified in affective psychoses. Examination of other medications, doses, and clinical measures did not account for these findings. Patients with schizophrenia may have increased cognitive susceptibility to anticholinergic medications and the aggregate effects of one's medication regimen may be important to consider in clinical practice.
Collapse
|
16
|
Au RWC, Xiang YT, Ungvari GS, Lee E, Shum DHK, Man D, Tang WK. Prospective Memory Performance in Persons With Schizophrenia and Bipolar Disorder and Healthy Persons. Perspect Psychiatr Care 2017; 53:266-274. [PMID: 27373547 DOI: 10.1111/ppc.12172] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2016] [Revised: 04/25/2016] [Accepted: 05/30/2016] [Indexed: 11/30/2022] Open
Abstract
PURPOSE There is a paucity of studies comparing prospective memory (PM) impairment between persons with schizophrenia and bipolar disorder. The aim of this study was to directly compare PM performances of these two groups and healthy controls. DESIGN AND METHODS A total of 44 persons with schizophrenia and 76 with bipolar disorder, and 44 healthy controls formed the study sample. FINDINGS Patients were found to be impaired in PM relative to controls and the two patient groups showed similar level of PM performance after controlling confounding sociodemographic and clinical variables. PRACTICE IMPLICATIONS The findings add to the evidence concerning the neurocognitive similarity between cohorts of schizophrenia and bipolar disorder with respect to PM. Rehabilitative effort in PM remedies for both patient groups is warranted.
Collapse
Affiliation(s)
- Raymond W C Au
- Senior Occupational Therapist, Occupational Therapy Department, United Christian Hospital, Hong Kong SAR, China
| | - Yu-Tao Xiang
- Associate Professor, Faculty of Health Sciences, University of Macau, Macau SAR, China
| | - Gabor S Ungvari
- Professor, Marian Centre, University of Notre Dame Australia, Perth, Australia
| | - Edwin Lee
- Assistant Professor, Department of Psychiatry, University of Hong Kong, Hong Kong SAR, China
| | - David H K Shum
- Professor, School of Applied Psychology, Griffith University, Brisbane, Queensland, Australia
| | - David Man
- Professor, Department of Rehabilitation Sciences, Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Wai-Kwong Tang
- Professor, Department of Psychiatry, The Chinese University of Hong Kong, Hong Kong SAR, China
| |
Collapse
|
17
|
Jenkins LM, Bodapati AS, Sharma RP, Rosen C. Working memory predicts presence of auditory verbal hallucinations in schizophrenia and bipolar disorder with psychosis. J Clin Exp Neuropsychol 2017; 40:84-94. [PMID: 28562181 DOI: 10.1080/13803395.2017.1321106] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
OBJECTIVE The recent dramatic increase in research investigating auditory verbal hallucinations (AVHs) has broadened the former narrow focus on schizophrenia to incorporate additional populations that experience these symptoms. However, an understanding of potential shared mechanisms remains elusive. Based on theories suggesting a failure of top-down cognitive control, we aimed to compare the relationship between AVHs and cognition in two categorical diagnoses of psychosis, schizophrenia and psychotic bipolar disorder. METHOD A total of 124 adults aged 21-60 participated, of whom 76 had present-state psychosis (schizophrenia, n = 53; bipolar disorder with psychosis, n = 23), and 48 were non-clinical controls. Diagnosis and hallucination presence was determined using the Structured Clinical Diagnostic Interview for DSM-IV TR. AVHs severity was assessed using the Positive and Negative Syndrome Scale. Participants also completed the MATRICS cognitive battery. RESULTS The bipolar disorder with psychosis group performed better than the schizophrenia group for cognitive domains of Processing speed, Attention, Working memory (WM), and Visual memory. Hierarchical binary logistic regression found that WM significantly predicted presence of AVHs in both psychotic groups, but diagnosis did not significantly increase the predictive value of the model. A hierarchical multiple linear regression found that schizophrenia diagnosis was the only significant predictor of hallucination severity. CONCLUSIONS The findings of this study-the first, to our knowledge, to compare the relationship between AVHs and MATRICS domains across schizophrenia and bipolar disorder with psychosis-support theories that deficits in WM underly the genesis of AVHs. WM potentially represents a shared mechanism of AVHs across diagnoses, supporting dimensional classifications of these psychotic disorders. However, non-cognitive factors predictive of hallucination severity may be specific to schizophrenia.
Collapse
Affiliation(s)
- Lisanne M Jenkins
- a Department of Psychiatry , University of Illinois at Chicago , Chicago , IL , USA
| | - Anjuli S Bodapati
- a Department of Psychiatry , University of Illinois at Chicago , Chicago , IL , USA
| | - Rajiv P Sharma
- a Department of Psychiatry , University of Illinois at Chicago , Chicago , IL , USA.,b Jesse Brown Veterans Affairs Medical Center , Chicago , IL , USA
| | - Cherise Rosen
- a Department of Psychiatry , University of Illinois at Chicago , Chicago , IL , USA
| |
Collapse
|
18
|
Gkintoni E, Pallis EG, Bitsios P, Giakoumaki SG. Neurocognitive performance, psychopathology and social functioning in individuals at high risk for schizophrenia or psychotic bipolar disorder. J Affect Disord 2017; 208:512-520. [PMID: 27810272 DOI: 10.1016/j.jad.2016.10.032] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2016] [Revised: 09/05/2016] [Accepted: 10/22/2016] [Indexed: 11/26/2022]
Abstract
INTRODUCTION Although cognitive deficits are consistent endophenotypes of schizophrenia and bipolar disorder, findings in psychotic bipolar disorder (BDP) are inconsistent. In this study we compared adult unaffected first-degree relatives of schizophrenia and BDP patients on cognition, psychopathology, social functioning and quality of life. METHODS Sixty-six unaffected first-degree relatives of schizophrenia patients (SUnR), 36 unaffected first-degree relatives of BDP patients (BDPUnR) and 102 controls participated in the study. Between-group differences were examined and Discriminant Function Analysis (DFA) predicted group membership. RESULTS Visual memory, control inhibition, working memory, cognitive flexibility and abstract reasoning were linearly impaired in the relatives' groups. Poorer verbal fluency and processing speed were evident only in the SUnR group. The SUnR group had higher depressive and somatization symptoms while the BDPUnR group had higher anxiety and lower social functioning compared with the controls. Individuals with superior cognition were more likely to be classified as controls; those with higher social functioning, prolonged processing speed and lower anxiety were more likely to be classified as SUnR. LIMITATIONS The relatives' sample is quite heterogeneous; the effects of genetic or environmental risk-factors were not examined. CONCLUSIONS Cognitive functions mediated by a fronto-parietal network, show linear impairments in unaffected relatives of BDP and schizophrenia patients; processing speed and verbal fluency impairments were evident only in schizophrenia relatives. Self-perceived symptomatology and social functioning also differ between schizophrenia and BDP relatives. The continuum seen in patients in several indices was also seen in the cognitive impairments in unaffected relatives of schizophrenia and BDP patients.
Collapse
Affiliation(s)
- Evgenia Gkintoni
- Department of Psychology, Gallos University campus, University of Crete, Rethymno, Crete, Greece
| | - Eleftherios G Pallis
- Department of Medicine, School of Health Sciences, National and Kapodistrian University of Athens, Greece
| | - Panos Bitsios
- Department of Psychiatry & Behavioral Sciences, Faculty of Medicine, University of Crete, Heraklion, Crete, Greece
| | - Stella G Giakoumaki
- Department of Psychology, Gallos University campus, University of Crete, Rethymno, Crete, Greece.
| |
Collapse
|
19
|
Crabtree J, Green MJ. Creative Cognition and Psychosis Vulnerability: What’s the Difference? CREATIVITY RESEARCH JOURNAL 2016. [DOI: 10.1080/10400419.2015.1030305] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
|
20
|
Unitary construct of generalized cognitive ability underlying BACS performance across psychotic disorders and in their first-degree relatives. Schizophr Res 2016; 170:156-61. [PMID: 26645510 PMCID: PMC5226655 DOI: 10.1016/j.schres.2015.11.022] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2015] [Revised: 11/18/2015] [Accepted: 11/21/2015] [Indexed: 01/10/2023]
Abstract
Despite robust evidence of neurocognitive dysfunction in psychotic patients, the degree of similarity in cognitive architecture across psychotic disorders and among their respective first-degree relatives is not well delineated. The present study examined the latent factor structure of the Brief Assessment of Cognition in Schizophrenia (BACS) neuropsychological battery. Analyses were conducted on 783 psychosis spectrum probands (schizophrenia, schizoaffective, psychotic bipolar), 887 of their first-degree relatives, and 396 non-psychiatric controls from the Bipolar-Schizophrenia Network on Intermediate Phenotypes (B-SNIP) consortium. Exploratory factor analysis of BACS subtest scores indicated a single-factor solution that was similar across all groups and provided the best overall data fit in confirmatory analyses. Correlations between the standard BACS composite score and the sum of subscale scores weighted by their loadings on this unitary factor were very high in all groups (r≥.99). Thus, the BACS assesses a similar unitary cognitive construct in probands with different psychotic disorders, in their first-degree relatives, and in healthy controls, and this factor is well measured by the test's standard composite score.
Collapse
|
21
|
Rolstad S, Pålsson E, Ekman CJ, Eriksson E, Sellgren C, Landén M. Polymorphisms of dopamine pathway genes NRG1 and LMX1A are associated with cognitive performance in bipolar disorder. Bipolar Disord 2015; 17:859-68. [PMID: 26534905 DOI: 10.1111/bdi.12347] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2015] [Accepted: 09/19/2015] [Indexed: 01/11/2023]
Abstract
OBJECTIVES LIM homeobox transcription factor 1, alpha (LMX1A) and neuregulin 1 (NRG1) are susceptibility genes for schizophrenia that have been implicated in the dopaminergic pathway and have been associated with altered cognitive functioning. We hypothesized that single nucleotide polymorphisms (SNPs) in LMX1A and NRG1 would be associated with cognitive functioning in bipolar disorder. METHODS In total, four SNPs were directly genotyped. Regression models with five aggregated cognitive domains and intelligence quotient (IQ) score were run using risk variants of LMX1A (rs11809911, rs4657412, rs6668493) and NRG1 (rs35753505) as predictors. Models were performed in a clinical sample of patients with bipolar disorder (n = 114) and healthy controls (n = 104). RESULTS The risk variants of the rs11809911 SNP in LMX1A were negatively associated with IQ score and memory/learning, whereas the risk variants of rs35753505 in NRG1 were positively associated with IQ score (adjusted R(2) = 0.17, Q = 0.006) and memory/learning (adjusted R(2) = 0.24, Q = 0.001). The risk variants of the rs35753505 SNP in NRG1 were positively associated with language (adjusted R(2) = 0.11, Q = 0.006), visuospatial functions (adjusted R(2) = 0.23, Q = 0.001), and attention/speed (adjusted R(2) = 0.25, Q = 0.001). Results could not be replicated in controls. CONCLUSIONS The risk variants of the rs35753505 SNP were associated with increased performance in several cognitive domains and IQ, whereas the risk variants of the rs11809911 SNP in LMX1A was associated with reduced IQ and memory/learning.
Collapse
Affiliation(s)
- Sindre Rolstad
- Institute of Neuroscience and Physiology, Sahlgrenska Academy, Gothenburg University, Gothenburg, Sweden
| | - Erik Pålsson
- Institute of Neuroscience and Physiology, Sahlgrenska Academy, Gothenburg University, Gothenburg, Sweden
| | - Carl Johan Ekman
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Elias Eriksson
- Institute of Neuroscience and Physiology, Sahlgrenska Academy, Gothenburg University, Gothenburg, Sweden
| | - Carl Sellgren
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Mikael Landén
- Institute of Neuroscience and Physiology, Sahlgrenska Academy, Gothenburg University, Gothenburg, Sweden.,Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.,Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| |
Collapse
|
22
|
Terrien S, Stefaniak N, Morvan Y, Besche-Richard C. Factor structure of the French version of the Hypomanic Personality Scale (HPS) in non-clinical young adults. Compr Psychiatry 2015; 62:105-13. [PMID: 26343474 DOI: 10.1016/j.comppsych.2015.07.001] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2015] [Revised: 06/28/2015] [Accepted: 07/06/2015] [Indexed: 10/23/2022] Open
Abstract
BACKGROUND Hypomanic Personality Scale (HPS) is a self-report questionnaire designed to identify vulnerable individuals at high risk of bipolar disorders in non-clinical samples. Our aim was to identify the factorial structure of HPS in a French non-clinical sample and to compare this with different factor solutions described in the literature. We carried out a survey in a French population using a French version of HPS. METHODS A total of 698 participants were included in the study. They completed the HPS, the Schizotypal Personality Questionnaire-Brief (SPQ-B), the Positive And Negative Affect Schedule (PANAS), and the Beck Depression Inventory (BDI-II). We tested the 1, 3 and 4-factor solutions and used a Confirmatory Factor Analysis to compare these with the factor solutions suggested by Rawling et al. and Schalet et al. RESULTS Goodness-of-fit indices showed that Schalet et al.'s solution "fits" our data better than Rawling et al.'s factorial solutions. HPS scores correlated with the PANAS Positive score and the SPQ-B total score. We confirmed the 3-factor structure of the HPS in a large non-clinical population of young adults and found consistent correlations with BDI, affectivity and schizotypal traits.
Collapse
Affiliation(s)
- Sarah Terrien
- Laboratoire Cognition, Santé, Socialisation (EA6291), Université de Reims Champagne-Ardenne, Reims, France
| | - Nicolas Stefaniak
- Laboratoire Cognition, Santé, Socialisation (EA6291), Université de Reims Champagne-Ardenne, Reims, France
| | - Yannick Morvan
- Inserm U894-LPMP, Centre Psychiatrie et Neuroscience, Université Paris Descartes, Paris, France; Laboratoire CLIPSYD, Université Paris Ouest Nanterre La Défense, Nanterre, France
| | - Chrystel Besche-Richard
- Laboratoire Cognition, Santé, Socialisation (EA6291), Université de Reims Champagne-Ardenne, Reims, France; Institut Universitaire de France, Paris, France.
| |
Collapse
|
23
|
Molinaro L, Hui P, Tan M, Mishra RK. Role of presynaptic phosphoprotein synapsin II in schizophrenia. World J Psychiatry 2015; 5:260-272. [PMID: 26425441 PMCID: PMC4582303 DOI: 10.5498/wjp.v5.i3.260] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2015] [Revised: 04/30/2015] [Accepted: 06/11/2015] [Indexed: 02/05/2023] Open
Abstract
Synapsin II is a member of the neuronal phosphoprotein family. These phosphoproteins are evolutionarily conserved across many organisms and are important in a variety of synaptic functions, including synaptogenesis and the regulation of neurotransmitter release. A number of genome-wide scans, meta-analyses, and genetic susceptibility studies have implicated the synapsin II gene (3p25) in the etiology of schizophrenia (SZ) and other psychiatric disorders. Further studies have found a reduction of synapsin II mRNA and protein in the prefrontal cortex in post-mortem samples from schizophrenic patients. Disruptions in the expression of this gene may cause synaptic dysfunction, which can result in neurotransmitter imbalances, likely contributing to the pathogenesis of SZ. SZ is a costly, debilitating psychiatric illness affecting approximately 1.1% of the world’s population, amounting to 51 million people today. The disorder is characterized by positive (hallucinations, paranoia), negative (social withdrawal, lack of motivation), and cognitive (memory impairments, attention deficits) symptoms. This review provides a comprehensive summary of the structure, function, and involvement of the synapsin family, specifically synapsin II, in the pathophysiology of SZ and possible target for therapeutic intervention/implications.
Collapse
|
24
|
Kim D, Kim JW, Koo TH, Yun HR, Won SH. Shared and distinct neurocognitive endophenotypes of schizophrenia and psychotic bipolar disorder. CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE 2015; 13:94-102. [PMID: 25912542 PMCID: PMC4423159 DOI: 10.9758/cpn.2015.13.1.94] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/25/2015] [Revised: 03/18/2015] [Accepted: 03/25/2015] [Indexed: 12/17/2022]
Abstract
Objective Schizophrenia and bipolar disorder are characterized by the presence of neurocognitive impairments on the psychosis continuum. The present study aimed to explore the shared and distinct endophenotypes between these disorders. Methods The study included 34 probands with remitted schizophrenia and 34 probands with euthymic bipolar disorder who had a history of psychotic symptoms that met the Diagnostic and Statistical Manual of Mental Disorders 4th edition (DSM-IV) criteria, unaffected first-degree relatives of probands (31 relatives of probands with schizophrenia and 29 relatives of probands with bipolar disorder), and 34 healthy controls. Cognitive assessments were performed using the digit span, continuous performance, Rey auditory and visual learning, complex figure, verbal fluency, Wisconsin card sorting, and finger tapping tests. Results Probands with schizophrenia showed the most generalized and severe cognitive deficits across cognitive domains (working memory, verbal learning and memory, visual memory, verbal fluency, and executive function). Some domains of cognitive function (working memory, verbal learning, and memory) were also impaired in probands with bipolar disorder, but to a lesser degree than in probands with schizophrenia. All probands and relatives showed a common deficit in working memory compared to healthy controls. Relatives of probands with schizophrenia also showed verbal fluency dysfunction. Cognitive performance of all relatives was intermediate to the performance of both patients and healthy controls. Conclusion These findings suggest that a deficit in working memory could be a shared endophenotype of genetic vulnerability to schizophrenia and psychotic bipolar disorder, and verbal fluency could be a candidate endophenotype for schizophrenia specifically.
Collapse
Affiliation(s)
- Dohoon Kim
- Department of Psychiatry, Kyungpook National University School of Medicine, Daegu, Korea
| | - Ji-Woo Kim
- Department of Psychiatry, Kyungpook National University School of Medicine, Daegu, Korea
| | - Tae-Hoon Koo
- Department of Psychiatry, Kyungpook National University School of Medicine, Daegu, Korea
| | - Hye-Rim Yun
- Department of Psychiatry, Kyungpook National University School of Medicine, Daegu, Korea
| | - Seung-Hee Won
- Department of Psychiatry, Kyungpook National University School of Medicine, Daegu, Korea
| |
Collapse
|
25
|
Li Z, Deng W, Liu X, Zheng Z, Li M, Li Y, Han Y, Ma X, Wang Q, Liu X, Li T. Contingent negative variation in patients with deficit schizophrenia or bipolar I disorder with psychotic features: measurement and correlation with clinical characteristics. Nord J Psychiatry 2015; 69:196-203. [PMID: 25263850 DOI: 10.3109/08039488.2014.959562] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
BACKGROUND Schizophrenia is a highly heterogeneous disease. Event-related potentials have been regarded to establish intermediate phenotypes of schizophrenia. Our previous study found that patients with deficit schizophrenia (DS) are relatively homogeneous and show a significantly longer onset latency of contingent negative variation (CNV) expectancy wave. AIMS To further examine CNV in patients with first-episode and drug-naïve DS or bipolar I disorder (BP I) with psychotic features, and also investigate correlations between CNV and clinical characteristics in DS and BP I. METHOD We elicited a CNV using an alarm (S1)-imperative (S2) paradigm in 30 DS patients or 33 BP I with psychotic features as well as 40 healthy controls. RESULTS CNV amplitude was significantly smaller and reaction time significantly longer in the DS and BP I groups than in healthy controls. Post-imperative negative variation (PINV) interval was significantly shorter in the DS group than in healthy controls. The onset latency of CNV expectancy wave was significantly longer and PINV area significantly smaller in the DS group than in the other groups. In the DS group, CNV amplitude and PINV interval correlated negatively with the subscale of negative symptoms on the Positive and Negative Syndrome Scale (PANSS); CNV amplitude also correlated negatively with disease duration. In the BP I group, CNV amplitude and reaction time showed no correlation with clinical features. CONCLUSIONS CNV amplitude is a common trait marker for psychosis. The onset latency of CNV expectancy wave appears to be a specific trait marker and may be used to identify candidate genes for DS.
Collapse
Affiliation(s)
- Zhe Li
- Zhe Li, M.D., The Mental Health Center and the Psychiatric Laboratory, and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University , Chengdu, Sichuan 610041 , China
| | | | | | | | | | | | | | | | | | | | | |
Collapse
|
26
|
Abstract
A long-standing tradition in personality research in psychology, and nowadays increasingly in psychiatry, is that psychotic and psychotic-like thoughts are considered common experiences in the general population. Given their widespread occurrence, such experiences cannot merely reflect pathological functioning. Moreover, reflecting the multi-dimensionality of schizotypy, some dimensions might be informative for healthy functioning while others less so. Here, we explored these possibilities by reviewing research that links schizotypy to favorable functioning such as subjective wellbeing, cognitive functioning (major focus on creativity), and personality correlates. This research highlights the existence of healthy people with psychotic-like traits who mainly experience positive schizotypy (but also affective features mapping onto bipolar disorder). These individuals seem to benefit from a healthy way to organize their thoughts and experiences, that is, they employ an adaptive cognitive framework to explain and integrate their unusual experiences. We conclude that, instead of focusing only on the pathological, future studies should explore the behavioral, genetic, imaging, and psychopharmacological correlates that define the healthy expression of psychotic-like traits. Such studies would inform on protective or compensatory mechanisms of psychosis-risk and could usefully inform us on the evolutionary advantages of the psychosis dimension.
Collapse
Affiliation(s)
- Christine Mohr
- Institute of Psychology, University of Lausanne, Lausanne, Switzerland;
| | - Gordon Claridge
- Department of Experimental Psychology, University of Oxford, Oxford, UK
| |
Collapse
|
27
|
Wang Z, Meda SA, Keshavan MS, Tamminga CA, Sweeney JA, Clementz BA, Schretlen DJ, Calhoun VD, Lui S, Pearlson GD. Large-Scale Fusion of Gray Matter and Resting-State Functional MRI Reveals Common and Distinct Biological Markers across the Psychosis Spectrum in the B-SNIP Cohort. Front Psychiatry 2015; 6:174. [PMID: 26732139 PMCID: PMC4685049 DOI: 10.3389/fpsyt.2015.00174] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2015] [Accepted: 11/27/2015] [Indexed: 02/05/2023] Open
Abstract
To investigate whether aberrant interactions between brain structure and function present similarly or differently across probands with psychotic illnesses [schizophrenia (SZ), schizoaffective disorder (SAD), and bipolar I disorder with psychosis (BP)] and whether these deficits are shared with their first-degree non-psychotic relatives. A total of 1199 subjects were assessed, including 220 SZ, 147 SAD, 180 psychotic BP, 150 first-degree relatives of SZ, 126 SAD relatives, 134 BP relatives, and 242 healthy controls (1). All subjects underwent structural MRI (sMRI) and resting-state functional MRI (rs-fMRI) scanning. Joint-independent component analysis (jICA) was used to fuse sMRI gray matter and rs-fMRI amplitude of low-frequency fluctuations data to identify the relationship between the two modalities. jICA revealed two significantly fused components. The association between functional brain alteration in a prefrontal-striatal-thalamic-cerebellar network and structural abnormalities in the default mode network was found to be common across psychotic diagnoses and correlated with cognitive function, social function, and schizo-bipolar scale scores. The fused alteration in the temporal lobe was unique to SZ and SAD. The above effects were not seen in any relative group (including those with cluster-A personality). Using a multivariate-fused approach involving two widely used imaging markers, we demonstrate both shared and distinct biological traits across the psychosis spectrum. Furthermore, our results suggest that the above traits are psychosis biomarkers rather than endophenotypes.
Collapse
Affiliation(s)
- Zheng Wang
- Mental Health Institute of the Second Xiangya Hospital, Central South University , Changsha , China
| | - Shashwath A Meda
- Olin Neuropsychiatry Research Center, Institute of Living at Hartford Hospital , Hartford, CT , USA
| | - Matcheri S Keshavan
- Department of Psychiatry, Beth Israel Deaconess Hospital, Harvard Medical School , Boston, MA , USA
| | - Carol A Tamminga
- Department of Psychiatry, University of Texas Southwestern Medical Center , Dallas, TX , USA
| | - John A Sweeney
- Department of Psychiatry, University of Texas Southwestern Medical Center , Dallas, TX , USA
| | - Brett A Clementz
- Department of Psychology, University of Georgia , Athens, GA , USA
| | - David J Schretlen
- Department of Psychiatry, Johns Hopkins University , Baltimore, MD , USA
| | - Vince D Calhoun
- Department of Psychiatry, Johns Hopkins University, Baltimore, MD, USA; The Mind Research Network, Albuquerque, NM, USA; Department of Psychiatry, Yale University, New Haven, CT, USA
| | - Su Lui
- Department of Radiology, Huaxi MR Research Center, West China Hospital of Sichuan University , Chengdu , China
| | - Godfrey D Pearlson
- Olin Neuropsychiatry Research Center, Institute of Living at Hartford Hospital, Hartford, CT, USA; Department of Psychiatry, Yale University, New Haven, CT, USA
| |
Collapse
|
28
|
Arnold SJM, Ivleva EI, Gopal TA, Reddy AP, Jeon-Slaughter H, Sacco CB, Francis AN, Tandon N, Bidesi AS, Witte B, Poudyal G, Pearlson GD, Sweeney JA, Clementz BA, Keshavan MS, Tamminga CA. Hippocampal volume is reduced in schizophrenia and schizoaffective disorder but not in psychotic bipolar I disorder demonstrated by both manual tracing and automated parcellation (FreeSurfer). Schizophr Bull 2015; 41:233-49. [PMID: 24557771 PMCID: PMC4266285 DOI: 10.1093/schbul/sbu009] [Citation(s) in RCA: 74] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
This study examined hippocampal volume as a putative biomarker for psychotic illness in the Bipolar-Schizophrenia Network on Intermediate Phenotypes (B-SNIP) psychosis sample, contrasting manual tracing and semiautomated (FreeSurfer) region-of-interest outcomes. The study sample (n = 596) included probands with schizophrenia (SZ, n = 71), schizoaffective disorder (SAD, n = 70), and psychotic bipolar I disorder (BDP, n = 86); their first-degree relatives (SZ-Rel, n = 74; SAD-Rel, n = 62; BDP-Rel, n = 88); and healthy controls (HC, n = 145). Hippocampal volumes were derived from 3Tesla T1-weighted MPRAGE images using manual tracing/3DSlicer3.6.3 and semiautomated parcellation/FreeSurfer5.1,64bit. Volumetric outcomes from both methodologies were contrasted in HC and probands and relatives across the 3 diagnoses, using mixed-effect regression models (SAS9.3 Proc MIXED); Pearson correlations between manual tracing and FreeSurfer outcomes were computed. SZ (P = .0007-.02) and SAD (P = .003-.14) had lower hippocampal volumes compared with HC, whereas BDP showed normal volumes bilaterally (P = .18-.55). All relative groups had hippocampal volumes not different from controls (P = .12-.97) and higher than those observed in probands (P = .003-.09), except for FreeSurfer measures in bipolar probands vs relatives (P = .64-.99). Outcomes from manual tracing and FreeSurfer showed direct, moderate to strong, correlations (r = .51-.73, P < .05). These findings from a large psychosis sample support decreased hippocampal volume as a putative biomarker for schizophrenia and schizoaffective disorder, but not for psychotic bipolar I disorder, and may reflect a cumulative effect of divergent primary disease processes and/or lifetime medication use. Manual tracing and semiautomated parcellation regional volumetric approaches may provide useful outcomes for defining measurable biomarkers underlying severe mental illness.
Collapse
Affiliation(s)
- Sara J. M. Arnold
- Department of Psychiatry, UT Southwestern Medical Center, 5352 Harry Hines Boulevard, NE5.110H, Dallas, TX 75235
| | - Elena I. Ivleva
- Department of Psychiatry, UT Southwestern Medical Center, 5352 Harry Hines Boulevard, NE5.110H, Dallas, TX 75235;,*To whom correspondence should be addressed; tel: 214-645-8942, fax: 214-648-5321, e-mail:
| | - Tejas A. Gopal
- Department of Psychiatry, UT Southwestern Medical Center, 5352 Harry Hines Boulevard, NE5.110H, Dallas, TX 75235
| | - Anil P. Reddy
- Department of Psychiatry, UT Southwestern Medical Center, 5352 Harry Hines Boulevard, NE5.110H, Dallas, TX 75235
| | - Haekyung Jeon-Slaughter
- Department of Psychiatry, UT Southwestern Medical Center, 5352 Harry Hines Boulevard, NE5.110H, Dallas, TX 75235
| | - Carolyn B. Sacco
- Department of Psychiatry, UT Southwestern Medical Center, 5352 Harry Hines Boulevard, NE5.110H, Dallas, TX 75235
| | - Alan N. Francis
- Department of Psychiatry, Beth Israel Deaconess Hospital, Harvard Medical School, Boston, MA
| | - Neeraj Tandon
- Department of Psychiatry, Beth Israel Deaconess Hospital, Harvard Medical School, Boston, MA
| | - Anup S. Bidesi
- Department of Psychiatry, UT Southwestern Medical Center, 5352 Harry Hines Boulevard, NE5.110H, Dallas, TX 75235
| | - Bradley Witte
- Department of Psychiatry, UT Southwestern Medical Center, 5352 Harry Hines Boulevard, NE5.110H, Dallas, TX 75235
| | - Gaurav Poudyal
- Department of Psychiatry, UT Southwestern Medical Center, 5352 Harry Hines Boulevard, NE5.110H, Dallas, TX 75235
| | - Godfrey D. Pearlson
- Department of Psychiatry, Institute of Living/Hartford Hospital, Yale School of Medicine, New Haven, CT
| | - John A. Sweeney
- Department of Psychiatry, UT Southwestern Medical Center, 5352 Harry Hines Boulevard, NE5.110H, Dallas, TX 75235
| | | | - Matcheri S. Keshavan
- Department of Psychiatry, Beth Israel Deaconess Hospital, Harvard Medical School, Boston, MA
| | - Carol A. Tamminga
- Department of Psychiatry, UT Southwestern Medical Center, 5352 Harry Hines Boulevard, NE5.110H, Dallas, TX 75235
| |
Collapse
|
29
|
Raum H, Dietsche B, Nagels A, Witt SH, Rietschel M, Kircher T, Krug A. A genome-wide supported psychiatric risk variant in NCAN influences brain function and cognitive performance in healthy subjects. Hum Brain Mapp 2014; 36:378-90. [PMID: 25220293 DOI: 10.1002/hbm.22635] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2014] [Revised: 09/03/2014] [Accepted: 09/03/2014] [Indexed: 12/11/2022] Open
Abstract
The A allele of the single nucleotide polymorphism (SNP) rs1064395 in the NCAN gene has recently been identified as a susceptibility factor for bipolar disorder and schizophrenia. NCAN encodes neurocan, a brain-specific chondroitin sulfate proteoglycan that is thought to influence neuronal adhesion and migration. Several lines of research suggest an impact of NCAN on neurocognitive functioning. In the present study, we investigated the effects of rs1064395 genotype on neural processing and cognitive performance in healthy subjects. Brain activity was measured with functional magnetic resonance imaging (fMRI) during an overt semantic verbal fluency task in 110 healthy subjects who were genotyped for the NCAN SNP rs1064395. Participants additionally underwent comprehensive neuropsychological testing. Whole brain analyses revealed that NCAN risk status, defined as AA or AG genotype, was associated with a lack of task-related deactivation in a large left lateral temporal cluster extending from the middle temporal gyrus to the temporal pole. Regarding neuropsychological measures, risk allele carriers demonstrated poorer immediate and delayed verbal memory performance when compared to subjects with GG genotype. Better verbal memory performance was significantly associated with greater deactivation of the left temporal cluster during the fMRI task in subjects with GG genotype. The current data demonstrate that common genetic variation in NCAN influences both neural processing and cognitive performance in healthy subjects. Our study provides new evidence for a specific genetic influence on human brain function.
Collapse
Affiliation(s)
- Heidelore Raum
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | | | | | | | | | | | | |
Collapse
|
30
|
Ruocco AC, Reilly JL, Rubin LH, Daros AR, Gershon ES, Tamminga CA, Pearlson GD, Hill SK, Keshavan MS, Gur RC, Sweeney JA. Emotion recognition deficits in schizophrenia-spectrum disorders and psychotic bipolar disorder: Findings from the Bipolar-Schizophrenia Network on Intermediate Phenotypes (B-SNIP) study. Schizophr Res 2014; 158:105-12. [PMID: 25052782 PMCID: PMC4152415 DOI: 10.1016/j.schres.2014.07.001] [Citation(s) in RCA: 62] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2014] [Revised: 07/02/2014] [Accepted: 07/06/2014] [Indexed: 11/29/2022]
Abstract
BACKGROUND Difficulty recognizing facial emotions is an important social-cognitive deficit associated with psychotic disorders. It also may reflect a familial risk for psychosis in schizophrenia-spectrum disorders and bipolar disorder. OBJECTIVE The objectives of this study from the Bipolar-Schizophrenia Network on Intermediate Phenotypes (B-SNIP) consortium were to: 1) compare emotion recognition deficits in schizophrenia, schizoaffective disorder and bipolar disorder with psychosis, 2) determine the familiality of emotion recognition deficits across these disorders, and 3) evaluate emotion recognition deficits in nonpsychotic relatives with and without elevated Cluster A and Cluster B personality disorder traits. METHOD Participants included probands with schizophrenia (n=297), schizoaffective disorder (depressed type, n=61; bipolar type, n=69), bipolar disorder with psychosis (n=248), their first-degree relatives (n=332, n=69, n=154, and n=286, respectively) and healthy controls (n=380). All participants completed the Penn Emotion Recognition Test, a standardized measure of facial emotion recognition assessing four basic emotions (happiness, sadness, anger and fear) and neutral expressions (no emotion). RESULTS Compared to controls, emotion recognition deficits among probands increased progressively from bipolar disorder to schizoaffective disorder to schizophrenia. Proband and relative groups showed similar deficits perceiving angry and neutral faces, whereas deficits on fearful, happy and sad faces were primarily isolated to schizophrenia probands. Even non-psychotic relatives without elevated Cluster A or Cluster B personality disorder traits showed deficits on neutral and angry faces. Emotion recognition ability was moderately familial only in schizophrenia families. CONCLUSIONS Emotion recognition deficits are prominent but somewhat different across psychotic disorders. These deficits are reflected to a lesser extent in relatives, particularly on angry and neutral faces. Deficits were evident in non-psychotic relatives even without elevated personality disorder traits. Deficits in facial emotion recognition may reflect an important social-cognitive deficit in patients with psychotic disorders.
Collapse
Affiliation(s)
- Anthony C. Ruocco
- Department of Psychiatry, University of Illinois at Chicago, Chicago, USA,Corresponding author is now at the Department of Psychology, University of Toronto Scarborough, 1265 Military Trail, Toronto, Ontario, M1C 1A4, Canada; tel: +1-416-208-2762, fax: +1-416-207-2762.
| | - James L. Reilly
- Department of Psychiatry and Behavioral Sciences, Northwestern University, Chicago, USA
| | - Leah H. Rubin
- Department of Psychiatry, University of Illinois at Chicago, Chicago, USA
| | - Alex R. Daros
- Department of Psychology, University of Toronto Scarborough, Toronto, Canada
| | | | - Carol A. Tamminga
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, USA
| | | | - S. Kristian Hill
- Department of Psychology, Rosalind Franklin University of Medicine and Science, North Chicago, USA
| | - Matcheri S. Keshavan
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center, Boston, USA
| | - Ruben C. Gur
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, USA
| | - John A. Sweeney
- Departments of Psychiatry and Pediatrics, University of Texas Southwestern Medical Center, Dallas, USA
| |
Collapse
|
31
|
Abstract
Neural oscillations at low- and high-frequency ranges are a fundamental feature of large-scale networks. Recent evidence has indicated that schizophrenia is associated with abnormal amplitude and synchrony of oscillatory activity, in particular, at high (beta/gamma) frequencies. These abnormalities are observed during task-related and spontaneous neuronal activity which may be important for understanding the pathophysiology of the syndrome. In this paper, we shall review the current evidence for impaired beta/gamma-band oscillations and their involvement in cognitive functions and certain symptoms of the disorder. In the first part, we will provide an update on neural oscillations during normal brain functions and discuss underlying mechanisms. This will be followed by a review of studies that have examined high-frequency oscillatory activity in schizophrenia and discuss evidence that relates abnormalities of oscillatory activity to disturbed excitatory/inhibitory (E/I) balance. Finally, we shall identify critical issues for future research in this area.
Collapse
Affiliation(s)
- Peter J Uhlhaas
- Department of Neurophysiology, Max Planck Institute for Brain Research, Deutschorclenstr. 46, Frankfurt am Main, 60528, Germany; Ernst Strüngmann Institute (ESI) for Neuroscience, in Cooperation with Max Planck Society, Deutschorclenstr. 46, Frankfurt am Main, 60528, Germany; Institute of Neuroscience and Psychology, University of Glasgow, 58 Hillheacl Street, Glasgow G12 8QB, UK
| | | |
Collapse
|
32
|
A genome-wide supported variant in CACNA1C influences hippocampal activation during episodic memory encoding and retrieval. Eur Arch Psychiatry Clin Neurosci 2014; 264:103-10. [PMID: 23860750 DOI: 10.1007/s00406-013-0428-x] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2012] [Accepted: 07/08/2013] [Indexed: 10/26/2022]
Abstract
The alpha 1C subunit of the L-type voltage-gated calcium channel (CACNA1C) gene is one of the best replicated susceptibility loci for bipolar disorder, schizophrenia and major depression. It is involved in learning, memory and brain plasticity. Genetic studies using functional magnetic resonance imaging (fMRI) reported evidence of association with the CACNA1C single nucleotide polymorphism rs1006737 with functional correlates of episodic memory encoding and retrieval, especially activations in the hippocampus. These results, however, are inconsistent with regard to the magnitude and directionality of effect. In the present study, brain activation was measured with fMRI during an episodic memory encoding and retrieval task using neutral faces in two independent samples of 94 and 111 healthy subjects, respectively. Within whole brain analyses, a main effect of genotype emerged mainly in the right hippocampus during encoding as well as retrieval within the first sample: Carriers of the minor allele (A) exhibited lower activations compared to G/G allele carriers. This effect could be replicated within the second sample, however, only for the retrieval condition. The results strengthen findings that rs1006737 is associated with neural systems related to memory processes in hippocampal regions which are detectable in healthy subjects.
Collapse
|
33
|
Schultz CC, Mühleisen TW, Nenadic I, Koch K, Wagner G, Schachtzabel C, Siedek F, Nöthen MM, Rietschel M, Deufel T, Kiehntopf M, Cichon S, Reichenbach JR, Sauer H, Schlösser RGM. Common variation in NCAN, a risk factor for bipolar disorder and schizophrenia, influences local cortical folding in schizophrenia. Psychol Med 2014; 44:811-820. [PMID: 23795679 DOI: 10.1017/s0033291713001414] [Citation(s) in RCA: 47] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND Recent studies have provided strong evidence that variation in the gene neurocan (NCAN, rs1064395) is a common risk factor for bipolar disorder (BD) and schizophrenia. However, the possible relevance of NCAN variation to disease mechanisms in the human brain has not yet been explored. Thus, to identify a putative pathomechanism, we tested whether the risk allele has an influence on cortical thickness and folding in a well-characterized sample of patients with schizophrenia and healthy controls. METHOD Sixty-three patients and 65 controls underwent T1-weighted magnetic resonance imaging (MRI) and were genotyped for the single nucleotide polymorphism (SNP) rs1064395. Folding and thickness were analysed on a node-by-node basis using a surface-based approach (FreeSurfer). RESULTS In patients, NCAN risk status (defined by AA and AG carriers) was found to be associated with higher folding in the right lateral occipital region and at a trend level for the left dorsolateral prefrontal cortex. Controls did not show any association (p > 0.05). For cortical thickness, there was no significant effect in either patients or controls. CONCLUSIONS This study is the first to describe an effect of the NCAN risk variant on brain structure. Our data show that the NCAN risk allele influences cortical folding in the occipital and prefrontal cortex, which may establish disease susceptibility during neurodevelopment. The findings suggest that NCAN is involved in visual processing and top-down cognitive functioning. Both major cognitive processes are known to be disturbed in schizophrenia. Moreover, our study reveals new evidence for a specific genetic influence on local cortical folding in schizophrenia.
Collapse
Affiliation(s)
- C C Schultz
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Germany
| | - T W Mühleisen
- Institute of Human Genetics, University of Bonn, Germany
| | - I Nenadic
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Germany
| | - K Koch
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Germany
| | - G Wagner
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Germany
| | - C Schachtzabel
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Germany
| | - F Siedek
- Institute of Human Genetics, University of Bonn, Germany
| | - M M Nöthen
- Institute of Human Genetics, University of Bonn, Germany
| | - M Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Germany
| | - T Deufel
- Department of Clinical Chemistry and Laboratory Diagnostics, Jena University Hospital, Germany
| | - M Kiehntopf
- Department of Clinical Chemistry and Laboratory Diagnostics, Jena University Hospital, Germany
| | - S Cichon
- Institute of Human Genetics, University of Bonn, Germany
| | - J R Reichenbach
- Medical Physics Group, Institute for Diagnostic and Interventional Radiology I, Jena University Hospital, Germany
| | - H Sauer
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Germany
| | - R G M Schlösser
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Germany
| |
Collapse
|
34
|
Tsafrir S, Chubarov E, Shoval G, Levi M, Nahshoni E, Ratmansky M, Weizman A, Zalsman G. Cognitive traits in inpatient adolescents with and without prior suicide attempts and non-suicidal self-injury. Compr Psychiatry 2014; 55:370-3. [PMID: 24262121 DOI: 10.1016/j.comppsych.2013.08.009] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/24/2012] [Revised: 07/31/2013] [Accepted: 08/04/2013] [Indexed: 10/26/2022] Open
Abstract
OBJECTIVE Establishing a psychiatric diagnosis and assessing suicidal tendencies is often a challenging task particularly in the early stages of an illness. Cognitive impairments characterize different psychiatric entities, but there is no known specific cognitive deficit profile that could help the clinician in achieving the diagnostic task. This study's aim was to establish a cognitive profile and test its ability to differentiate psychiatric inpatient subgroups, in terms of suicidal risk and diagnosis. The sample constituted of 76 consecutive admissions to the psychiatric adolescent day-care unit, who were admitted for any diagnosis. Assessment included full psychiatric interview and cognitive evaluation, using the COGNISTAT test. RESULTS Of the 76 participants, 58% reported having suicidal ideation and 29% reported a prior attempted suicide. Subjects who had a prior suicide attempt had better orientation and attention scores in the COGNISTAT. Other cognitive domains did not differentiate between groups or diagnoses. CONCLUSION These preliminary results suggest a significant association between specific cognitive characteristics and suicidal behavior in adolescents. Those cognitive characteristics might prove clinically useful in the assessment of suicide risk. Further study is needed to establish this association and generalize the conclusion to different populations.
Collapse
Affiliation(s)
- Shlomit Tsafrir
- Child and Adolescent Division, Geha Mental Health Center, Petah Tikva, Israel
| | - Elena Chubarov
- Child and Adolescent Division, Geha Mental Health Center, Petah Tikva, Israel
| | - Gal Shoval
- Child and Adolescent Division, Geha Mental Health Center, Petah Tikva, Israel; Sackler Faculty of Medicine, Tel Aviv University, Israel
| | - Mali Levi
- Child and Adolescent Division, Geha Mental Health Center, Petah Tikva, Israel
| | - Eitan Nahshoni
- Sackler Faculty of Medicine, Tel Aviv University, Israel
| | - Motti Ratmansky
- Pain Rehabilitation Unit, Loewenstein Rehabilitation Hospital, Raanana, Israel
| | - Abraham Weizman
- Child and Adolescent Division, Geha Mental Health Center, Petah Tikva, Israel; Sackler Faculty of Medicine, Tel Aviv University, Israel; Research Unit, Geha Mental Health Center and Felsenstein Medical Research Center, Petah Tikva, Israel
| | - Gil Zalsman
- Child and Adolescent Division, Geha Mental Health Center, Petah Tikva, Israel; Sackler Faculty of Medicine, Tel Aviv University, Israel; Molecular Imaging and Psychopathology Division, Psychaitry DepartmentNY, USA.
| |
Collapse
|
35
|
Vyas NS, Patel NH, Nijran KS, Al-Nahhas A, Puri BK. The use of PET imaging in studying cognition, genetics and pharmacotherapeutic interventions in schizophrenia. Expert Rev Neurother 2014; 11:37-51. [DOI: 10.1586/ern.10.160] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
|
36
|
Cuesta MJ, Basterra V, Sanchez-Torres A, Peralta V. Controversies surrounding the diagnosis of schizophrenia and other psychoses. Expert Rev Neurother 2014; 9:1475-86. [DOI: 10.1586/ern.09.102] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
|
37
|
The impact of a CACNA1C gene polymorphism on learning and hippocampal formation in healthy individuals: a diffusion tensor imaging study. Neuroimage 2013; 89:256-61. [PMID: 24269271 DOI: 10.1016/j.neuroimage.2013.11.030] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2013] [Revised: 11/09/2013] [Accepted: 11/14/2013] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Genome-wide association studies have identified the CACNA1C single nucleotide polymorphism (SNP) rs1006737 as one of the most consistent genetic findings as susceptibility locus for major psychiatric disorders. Furthermore, animal and genetic imaging studies have reported strong functional evidence for the association of CACNA1C with learning, memory, neural plasticity, and its association with the hippocampal formation. In the present study we investigated the impact of the CACNA1C SNP rs1006737 on the fractional anisotropy (FA) in the hippocampal formation as well as on verbal learning and memory in healthy individuals. METHODS 118 healthy individuals (72 males, 46 females, age 18-56years) initially underwent diffusion tensor imaging (DTI), 100 of them were included in the final analysis. We used Tract-Based Spatial Statistics (TBSS) to examine the impact of the CACNA1C SNP rs1006737 on the hippocampal formation as predefined region of interest (ROI). Furthermore, all participants completed the Verbal Learning and Memory Test (VLMT). RESULTS In the VLMT genotype was significantly associated with learning performance. Bonferroni corrected post-hoc tests indicated a diminished performance at the beginning of the learning curve in risk allele carriers compared to non-risk allele carriers. The TBSS ROI analysis revealed one cluster of reduced FA in risk allele carriers compared to non-risk allele carriers located in the right hippocampal formation. Moreover, an association between the initial learning performance and FA values was found. DISCUSSION These findings demonstrate that genetic variation in the CACNA1C SNP rs1006737 is associated with FA reduction in the hippocampal formation as well as with differences in learning performance in healthy individuals.
Collapse
|
38
|
Uhlhaas PJ. High-frequency oscillations and the neurobiology of schizophrenia. DIALOGUES IN CLINICAL NEUROSCIENCE 2013; 15:301-13. [PMID: 24174902 PMCID: PMC3811102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 03/24/2024]
Abstract
Neural oscillations at low- and high-frequency ranges are a fundamental feature of large-scale networks. Recent evidence has indicated that schizophrenia is associated with abnormal amplitude and synchrony of oscillatory activity, in particular, at high (beta/gamma) frequencies. These abnormalities are observed during task-related and spontaneous neuronal activity which may be important for understanding the pathophysiology of the syndrome. In this paper, we shall review the current evidence for impaired beta/gamma-band oscillations and their involvement in cognitive functions and certain symptoms of the disorder. In the first part, we will provide an update on neural oscillations during normal brain functions and discuss underlying mechanisms. This will be followed by a review of studies that have examined high-frequency oscillatory activity in schizophrenia and discuss evidence that relates abnormalities of oscillatory activity to disturbed excitatory/inhibitory (E/I) balance. Finally, we shall identify critical issues for future research in this area.
Collapse
Affiliation(s)
- Peter J. Uhlhaas
- Department of Neurophysiology, Max Planck Institute for Brain Research, Deutschorclenstr. 46, Frankfurt am Main, 60528, Germany; Ernst Strüngmann Institute (ESI) for Neuroscience, in Cooperation with Max Planck Society, Deutschorclenstr. 46, Frankfurt am Main, 60528, Germany; Institute of Neuroscience and Psychology, University of Glasgow, 58 Hillheacl Street, Glasgow G12 8QB, UK
| |
Collapse
|
39
|
Chan RCK, Lui SSY, Wang Y, Liu ACY, Chui WWH, Shum DHK, Cheung EFC. Patients with bipolar disorders share similar but attenuated prospective memory impairments with patients with schizophrenia. Psychol Med 2013; 43:1639-1649. [PMID: 23098329 DOI: 10.1017/s003329171200236x] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
BACKGROUND Prospective memory (PM) refers to the ability to remember to carry out an intended action in the future. PM is consistently found to be impaired in individuals with schizophrenia. Bipolar disorder and schizophrenia may represent conditions along a continuum, and share similar neurocognitive and genetic architecture. This study aimed to compare the nature and extent of PM impairment in individuals with schizophrenia and bipolar disorder. METHOD Participants were 38 out-patients with schizophrenia and 40 out-patients with bipolar disorder in an early psychosis intervention programme, and 37 healthy controls. Time-, event- and activity-based PMs were assessed using a dual-task laboratory paradigm. Self-reported PM performance was gauged using the Prospective and Retrospective Memory Questionnaire. Analysis of covariance (ANCOVA), with intelligence quotient (IQ) and education included as covariates, was used to examine group difference on various types of PM. Repeated measures of ANCOVA were used to examine the group × PM type interaction effect. Correspondence between laboratory and self-reported PM measures was examined using correlational analysis. RESULTS The group × PM type interaction effect was not significant, but the main effect of group was significant. Patients with schizophrenia and patients with bipolar disorder both performed more poorly than healthy participants in PM. The two clinical groups did not significantly differ in PM. Laboratory and self-reported PM measures did not correlate significantly with each other. CONCLUSIONS Patients with bipolar disorder shared a similar PM impairment with those with schizophrenia. Findings of this study extended the similarity in neurocognitive impairments between the two psychiatric disorders to PM.
Collapse
Affiliation(s)
- R C K Chan
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, People's Republic of China.
| | | | | | | | | | | | | |
Collapse
|
40
|
McGuire KA, Blahnik MM, Sponheim SR. Discrimination within Recognition Memory in Schizophrenia. Behav Sci (Basel) 2013; 3:273-297. [PMID: 25379239 PMCID: PMC4217626 DOI: 10.3390/bs3020273] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2013] [Revised: 05/21/2013] [Accepted: 05/30/2013] [Indexed: 12/15/2022] Open
Abstract
Episodic memory is one of the most affected cognitive domains in schizophrenia. First-degree biological relatives of individuals with schizophrenia also have been found to exhibit a similar, but milder, episodic memory deficit. Unlike most studies that focus on the percent of previously presented items recognized, the current investigation sought to further elucidate the nature of memory dysfunction associated with schizophrenia by examining the discrimination of old and new material during recognition (measured by d') to consider false recognition of new items. Using the Recurring Figures Test and the California Verbal Learning Test (CVLT), we studied a sample of schizophrenia probands and the first-degree biological relatives of patients with schizophrenia, as well as probands with bipolar disorder and first-degree biological relatives to assess the specificity of recognition memory dysfunction to schizophrenia. The schizophrenia sample had poorer recognition discrimination in both nonverbal and verbal modalities; no such deficits were identified in first-degree biological relatives or bipolar disorder probands. Discrimination in schizophrenia and bipolar probands failed to benefit from the geometric structure in the designs in the manner that controls did on the nonverbal test. Females performed better than males in recognition of geometric designs. Episodic memory dysfunction in schizophrenia is present for a variety of stimulus domains and reflects poor use of item content to increase discrimination of old and new items.
Collapse
Affiliation(s)
- Kathryn A. McGuire
- Minneapolis Veterans Affairs Health Care System, One Veterans Drive, Minneapolis, MN 55417, USA; E-Mails: (M.M.B.); (S.R.S.)
- Department of Psychiatry, University of Minnesota, F282/2A West, 2450 Riverside Avenue, Minneapolis, MN 55454, USA
- Author to whom correspondence should be addressed; E-Mail: ; Tel.: +1-612-725-2044; Fax: +1-612-467-2144
| | - Melanie M. Blahnik
- Minneapolis Veterans Affairs Health Care System, One Veterans Drive, Minneapolis, MN 55417, USA; E-Mails: (M.M.B.); (S.R.S.)
| | - Scott R. Sponheim
- Minneapolis Veterans Affairs Health Care System, One Veterans Drive, Minneapolis, MN 55417, USA; E-Mails: (M.M.B.); (S.R.S.)
- Department of Psychiatry, University of Minnesota, F282/2A West, 2450 Riverside Avenue, Minneapolis, MN 55454, USA
| |
Collapse
|
41
|
Schretlen DJ, Peña J, Aretouli E, Orue I, Cascella NG, Pearlson GD, Ojeda N. Confirmatory factor analysis reveals a latent cognitive structure common to bipolar disorder, schizophrenia, and normal controls. Bipolar Disord 2013; 15:422-33. [PMID: 23656284 PMCID: PMC4128168 DOI: 10.1111/bdi.12075] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2012] [Accepted: 01/13/2013] [Indexed: 12/22/2022]
Abstract
OBJECTIVE We sought to determine whether a single hypothesized latent factor structure would characterize cognitive functioning in three distinct groups. METHODS We assessed 576 adults (340 community controls, 126 adults with bipolar disorder, and 110 adults with schizophrenia) using 15 measures derived from nine cognitive tests. Confirmatory factor analysis (CFA) was conducted to examine the fit of a hypothesized six-factor model. The hypothesized factors included attention, psychomotor speed, verbal memory, visual memory, ideational fluency, and executive functioning. RESULTS The six-factor model provided an excellent fit for all three groups [for community controls, root mean square error of approximation (RMSEA) <0.048 and comparative fit index (CFI) = 0.99; for adults with bipolar disorder, RMSEA = 0.071 and CFI = 0.99; and for adults with schizophrenia, RMSEA = 0.06 and CFI = 0.98]. Alternate models that combined fluency with processing speed or verbal and visual memory reduced the goodness of fit. Multi-group CFA results supported factor invariance across the three groups. CONCLUSIONS Confirmatory factor analysis supported a single six-factor structure of cognitive functioning among patients with schizophrenia or bipolar disorder and community controls. While the three groups clearly differ in level of performance, they share a common underlying architecture of information processing abilities. These cognitive factors could provide useful targets for clinical trials of treatments that aim to enhance information processing in persons with neurological and neuropsychiatric disorders.
Collapse
Affiliation(s)
- David J Schretlen
- Department of Psychiatry and Behavioral Sciences, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | | | | | | | | | | | | |
Collapse
|
42
|
Abstract
The association between clinical insight and social cognition assessed with an emotion perception task was investigated in schizophrenia (n = 29) and bipolar I disorder (n = 19). Persons with schizophrenia had reduced auditory emotion perception compared with individuals with bipolar I disorder, but levels of visual emotion perception and clinical insight were comparable. In the schizophrenia group, clinical insight was moderately associated with auditory and visual emotion perception (r = 0.36-0.44) and negative symptoms (r = -0.33). Better insight was associated with better social cognition and fewer negative symptoms. In the bipolar I disorder group, clinical insight showed small associations with social cognition (largest r = -0.28) and moderate to large associations with positive, negative, manic, and depressive symptoms. Poorer insight was associated with higher symptom load. Social cognition seems to be of importance for clinical insight in schizophrenia, whereas symptoms are important in bipolar I disorder.
Collapse
|
43
|
Bellivier F, Geoffroy PA, Scott J, Schurhoff F, Leboyer M, Etain B. Biomarkers of bipolar disorder: specific or shared with schizophrenia? Front Biosci (Elite Ed) 2013; 5:845-63. [PMID: 23747901 PMCID: PMC5127822 DOI: 10.2741/e665] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
Kraepelin's observations of the differences in the course and outcome of dementia praecox and manic depression fundamentally influenced thinking about bipolar disorder (BP) and schizophrenia (SZ) for over a century. In modern times, there is increasing awareness that a greater understanding of the similarities between these two highly prevalent and disabling conditions can teach us as many lessons about the pathophysiology of severe mental disorders as does the pursuit of differentiating factors. We review publications on developmental, genetic, epidemiological, and outcome research that challenges the Kraepelian dichotomy. We highlight the increasing evidence of the overlap in genetic susceptibility. Neuro-developmental studies provide evidence of shared early pathological processes, whilst neurophysiological investigations also suggest that different genes may have a role in the development of both phenotypes. There is also evidence of overlapping neurocognitive phenotypes. It has become increasingly clear that a simple binary classification of these disorders represents an oversimplification. It may be more apposite to think in terms of genetic influences on six continuous symptom dimensions: neurobiological, cognitive, positive, negative, depressive and manic symptoms.
Collapse
|
44
|
Ibáñez A, Aguado J, Baez S, Huepe D, Lopez V, Ortega R, Sigman M, Mikulan E, Lischinsky A, Torrente F, Cetkovich M, Torralva T, Bekinschtein T, Manes F. From neural signatures of emotional modulation to social cognition: individual differences in healthy volunteers and psychiatric participants. Soc Cogn Affect Neurosci 2013; 9:939-50. [PMID: 23685775 DOI: 10.1093/scan/nst067] [Citation(s) in RCA: 57] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
It is commonly assumed that early emotional signals provide relevant information for social cognition tasks. The goal of this study was to test the association between (a) cortical markers of face emotional processing and (b) social-cognitive measures, and also to build a model which can predict this association (a and b) in healthy volunteers as well as in different groups of psychiatric patients. Thus, we investigated the early cortical processing of emotional stimuli (N170, using a face and word valence task) and their relationship with the social-cognitive profiles (SCPs, indexed by measures of theory of mind, fluid intelligence, speed processing and executive functions). Group comparisons and individual differences were assessed among schizophrenia (SCZ) patients and their relatives, individuals with attention deficit hyperactivity disorder (ADHD), individuals with euthymic bipolar disorder (BD) and healthy participants (educational level, handedness, age and gender matched). Our results provide evidence of emotional N170 impairments in the affected groups (SCZ and relatives, ADHD and BD) as well as subtle group differences. Importantly, cortical processing of emotional stimuli predicted the SCP, as evidenced by a structural equation model analysis. This is the first study to report an association model of brain markers of emotional processing and SCP.
Collapse
Affiliation(s)
- Agustín Ibáñez
- Laboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive Neurology (INECO), Favaloro University, Buenos Aires, Argentina, Laboratory of Cognitive and Social Neuroscience (LANCYS), UDP-INECO Foundation Core on Neuroscience (NUFIN), Universidad Diego Portales, Santiago, Chile, National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina, Parc Sanitari Joan de Deu-SSM, CIBERSAM, Universitat de Barcelona, Sant Boi, Barcelona, Spain, Escuela de Psicología, Facultad de Ciencias Sociales, Pontificia Universidad Católica de Chile, Santiago, Chile, Laboratorio de Neurociencia Cognitiva, Departamento de Psiquiatría, Facultad de Medicina, y Centro Interdisciplinario de Neurociencia, Pontificia Universidad Católica de Chile, Santiago, Chile, Programa de Doctorado en Psicología, Departamento de Psicología, Facultad de Ciencias Sociales, Universidad de Chile, Santiago, Chile, Departamento de Física, FCEN, UBA and IFIBA, Conicet, Pabellón 1, Ciudad Universitaria, 1428 Buenos Aires, Argentina, Universidad Torcuato Di Tella, Alte. Juan Saenz Valiente 1010, Buenos Aires C1428BIJ, Argentina, and MRC Cognition and Brain Sciences Unit, Cambridge, UKLaboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive Neurology (INECO), Favaloro University, Buenos Aires, Argentina, Laboratory of Cognitive and Social Neuroscience (LANCYS), UDP-INECO Foundation Core on Neuroscience (NUFIN), Universidad Diego Portales, Santiago, Chile, National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina, Parc Sanitari Joan de Deu-SSM, CIBERSAM, Universitat de Barcelona, Sant Boi, Barcelona, Spain, Escuela de Psicología, Facultad de Ciencias Sociales, Pontificia Universidad Católica de Chile, Santiago, Chile, Laboratorio de Neurociencia Cognitiva, Departamento de Psiquiatría, Facultad de Medicina, y Centro Interdisciplinario de Neurociencia, Pontificia Universidad Católica de Chile, Santiago, C
| | - Jaume Aguado
- Laboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive Neurology (INECO), Favaloro University, Buenos Aires, Argentina, Laboratory of Cognitive and Social Neuroscience (LANCYS), UDP-INECO Foundation Core on Neuroscience (NUFIN), Universidad Diego Portales, Santiago, Chile, National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina, Parc Sanitari Joan de Deu-SSM, CIBERSAM, Universitat de Barcelona, Sant Boi, Barcelona, Spain, Escuela de Psicología, Facultad de Ciencias Sociales, Pontificia Universidad Católica de Chile, Santiago, Chile, Laboratorio de Neurociencia Cognitiva, Departamento de Psiquiatría, Facultad de Medicina, y Centro Interdisciplinario de Neurociencia, Pontificia Universidad Católica de Chile, Santiago, Chile, Programa de Doctorado en Psicología, Departamento de Psicología, Facultad de Ciencias Sociales, Universidad de Chile, Santiago, Chile, Departamento de Física, FCEN, UBA and IFIBA, Conicet, Pabellón 1, Ciudad Universitaria, 1428 Buenos Aires, Argentina, Universidad Torcuato Di Tella, Alte. Juan Saenz Valiente 1010, Buenos Aires C1428BIJ, Argentina, and MRC Cognition and Brain Sciences Unit, Cambridge, UK
| | - Sandra Baez
- Laboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive Neurology (INECO), Favaloro University, Buenos Aires, Argentina, Laboratory of Cognitive and Social Neuroscience (LANCYS), UDP-INECO Foundation Core on Neuroscience (NUFIN), Universidad Diego Portales, Santiago, Chile, National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina, Parc Sanitari Joan de Deu-SSM, CIBERSAM, Universitat de Barcelona, Sant Boi, Barcelona, Spain, Escuela de Psicología, Facultad de Ciencias Sociales, Pontificia Universidad Católica de Chile, Santiago, Chile, Laboratorio de Neurociencia Cognitiva, Departamento de Psiquiatría, Facultad de Medicina, y Centro Interdisciplinario de Neurociencia, Pontificia Universidad Católica de Chile, Santiago, Chile, Programa de Doctorado en Psicología, Departamento de Psicología, Facultad de Ciencias Sociales, Universidad de Chile, Santiago, Chile, Departamento de Física, FCEN, UBA and IFIBA, Conicet, Pabellón 1, Ciudad Universitaria, 1428 Buenos Aires, Argentina, Universidad Torcuato Di Tella, Alte. Juan Saenz Valiente 1010, Buenos Aires C1428BIJ, Argentina, and MRC Cognition and Brain Sciences Unit, Cambridge, UK
| | - David Huepe
- Laboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive Neurology (INECO), Favaloro University, Buenos Aires, Argentina, Laboratory of Cognitive and Social Neuroscience (LANCYS), UDP-INECO Foundation Core on Neuroscience (NUFIN), Universidad Diego Portales, Santiago, Chile, National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina, Parc Sanitari Joan de Deu-SSM, CIBERSAM, Universitat de Barcelona, Sant Boi, Barcelona, Spain, Escuela de Psicología, Facultad de Ciencias Sociales, Pontificia Universidad Católica de Chile, Santiago, Chile, Laboratorio de Neurociencia Cognitiva, Departamento de Psiquiatría, Facultad de Medicina, y Centro Interdisciplinario de Neurociencia, Pontificia Universidad Católica de Chile, Santiago, Chile, Programa de Doctorado en Psicología, Departamento de Psicología, Facultad de Ciencias Sociales, Universidad de Chile, Santiago, Chile, Departamento de Física, FCEN, UBA and IFIBA, Conicet, Pabellón 1, Ciudad Universitaria, 1428 Buenos Aires, Argentina, Universidad Torcuato Di Tella, Alte. Juan Saenz Valiente 1010, Buenos Aires C1428BIJ, Argentina, and MRC Cognition and Brain Sciences Unit, Cambridge, UK
| | - Vladimir Lopez
- Laboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive Neurology (INECO), Favaloro University, Buenos Aires, Argentina, Laboratory of Cognitive and Social Neuroscience (LANCYS), UDP-INECO Foundation Core on Neuroscience (NUFIN), Universidad Diego Portales, Santiago, Chile, National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina, Parc Sanitari Joan de Deu-SSM, CIBERSAM, Universitat de Barcelona, Sant Boi, Barcelona, Spain, Escuela de Psicología, Facultad de Ciencias Sociales, Pontificia Universidad Católica de Chile, Santiago, Chile, Laboratorio de Neurociencia Cognitiva, Departamento de Psiquiatría, Facultad de Medicina, y Centro Interdisciplinario de Neurociencia, Pontificia Universidad Católica de Chile, Santiago, Chile, Programa de Doctorado en Psicología, Departamento de Psicología, Facultad de Ciencias Sociales, Universidad de Chile, Santiago, Chile, Departamento de Física, FCEN, UBA and IFIBA, Conicet, Pabellón 1, Ciudad Universitaria, 1428 Buenos Aires, Argentina, Universidad Torcuato Di Tella, Alte. Juan Saenz Valiente 1010, Buenos Aires C1428BIJ, Argentina, and MRC Cognition and Brain Sciences Unit, Cambridge, UK
| | - Rodrigo Ortega
- Laboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive Neurology (INECO), Favaloro University, Buenos Aires, Argentina, Laboratory of Cognitive and Social Neuroscience (LANCYS), UDP-INECO Foundation Core on Neuroscience (NUFIN), Universidad Diego Portales, Santiago, Chile, National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina, Parc Sanitari Joan de Deu-SSM, CIBERSAM, Universitat de Barcelona, Sant Boi, Barcelona, Spain, Escuela de Psicología, Facultad de Ciencias Sociales, Pontificia Universidad Católica de Chile, Santiago, Chile, Laboratorio de Neurociencia Cognitiva, Departamento de Psiquiatría, Facultad de Medicina, y Centro Interdisciplinario de Neurociencia, Pontificia Universidad Católica de Chile, Santiago, Chile, Programa de Doctorado en Psicología, Departamento de Psicología, Facultad de Ciencias Sociales, Universidad de Chile, Santiago, Chile, Departamento de Física, FCEN, UBA and IFIBA, Conicet, Pabellón 1, Ciudad Universitaria, 1428 Buenos Aires, Argentina, Universidad Torcuato Di Tella, Alte. Juan Saenz Valiente 1010, Buenos Aires C1428BIJ, Argentina, and MRC Cognition and Brain Sciences Unit, Cambridge, UKLaboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive Neurology (INECO), Favaloro University, Buenos Aires, Argentina, Laboratory of Cognitive and Social Neuroscience (LANCYS), UDP-INECO Foundation Core on Neuroscience (NUFIN), Universidad Diego Portales, Santiago, Chile, National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina, Parc Sanitari Joan de Deu-SSM, CIBERSAM, Universitat de Barcelona, Sant Boi, Barcelona, Spain, Escuela de Psicología, Facultad de Ciencias Sociales, Pontificia Universidad Católica de Chile, Santiago, Chile, Laboratorio de Neurociencia Cognitiva, Departamento de Psiquiatría, Facultad de Medicina, y Centro Interdisciplinario de Neurociencia, Pontificia Universidad Católica de Chile, Santiago, C
| | - Mariano Sigman
- Laboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive Neurology (INECO), Favaloro University, Buenos Aires, Argentina, Laboratory of Cognitive and Social Neuroscience (LANCYS), UDP-INECO Foundation Core on Neuroscience (NUFIN), Universidad Diego Portales, Santiago, Chile, National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina, Parc Sanitari Joan de Deu-SSM, CIBERSAM, Universitat de Barcelona, Sant Boi, Barcelona, Spain, Escuela de Psicología, Facultad de Ciencias Sociales, Pontificia Universidad Católica de Chile, Santiago, Chile, Laboratorio de Neurociencia Cognitiva, Departamento de Psiquiatría, Facultad de Medicina, y Centro Interdisciplinario de Neurociencia, Pontificia Universidad Católica de Chile, Santiago, Chile, Programa de Doctorado en Psicología, Departamento de Psicología, Facultad de Ciencias Sociales, Universidad de Chile, Santiago, Chile, Departamento de Física, FCEN, UBA and IFIBA, Conicet, Pabellón 1, Ciudad Universitaria, 1428 Buenos Aires, Argentina, Universidad Torcuato Di Tella, Alte. Juan Saenz Valiente 1010, Buenos Aires C1428BIJ, Argentina, and MRC Cognition and Brain Sciences Unit, Cambridge, UKLaboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive Neurology (INECO), Favaloro University, Buenos Aires, Argentina, Laboratory of Cognitive and Social Neuroscience (LANCYS), UDP-INECO Foundation Core on Neuroscience (NUFIN), Universidad Diego Portales, Santiago, Chile, National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina, Parc Sanitari Joan de Deu-SSM, CIBERSAM, Universitat de Barcelona, Sant Boi, Barcelona, Spain, Escuela de Psicología, Facultad de Ciencias Sociales, Pontificia Universidad Católica de Chile, Santiago, Chile, Laboratorio de Neurociencia Cognitiva, Departamento de Psiquiatría, Facultad de Medicina, y Centro Interdisciplinario de Neurociencia, Pontificia Universidad Católica de Chile, Santiago, C
| | - Ezequiel Mikulan
- Laboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive Neurology (INECO), Favaloro University, Buenos Aires, Argentina, Laboratory of Cognitive and Social Neuroscience (LANCYS), UDP-INECO Foundation Core on Neuroscience (NUFIN), Universidad Diego Portales, Santiago, Chile, National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina, Parc Sanitari Joan de Deu-SSM, CIBERSAM, Universitat de Barcelona, Sant Boi, Barcelona, Spain, Escuela de Psicología, Facultad de Ciencias Sociales, Pontificia Universidad Católica de Chile, Santiago, Chile, Laboratorio de Neurociencia Cognitiva, Departamento de Psiquiatría, Facultad de Medicina, y Centro Interdisciplinario de Neurociencia, Pontificia Universidad Católica de Chile, Santiago, Chile, Programa de Doctorado en Psicología, Departamento de Psicología, Facultad de Ciencias Sociales, Universidad de Chile, Santiago, Chile, Departamento de Física, FCEN, UBA and IFIBA, Conicet, Pabellón 1, Ciudad Universitaria, 1428 Buenos Aires, Argentina, Universidad Torcuato Di Tella, Alte. Juan Saenz Valiente 1010, Buenos Aires C1428BIJ, Argentina, and MRC Cognition and Brain Sciences Unit, Cambridge, UK
| | - Alicia Lischinsky
- Laboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive Neurology (INECO), Favaloro University, Buenos Aires, Argentina, Laboratory of Cognitive and Social Neuroscience (LANCYS), UDP-INECO Foundation Core on Neuroscience (NUFIN), Universidad Diego Portales, Santiago, Chile, National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina, Parc Sanitari Joan de Deu-SSM, CIBERSAM, Universitat de Barcelona, Sant Boi, Barcelona, Spain, Escuela de Psicología, Facultad de Ciencias Sociales, Pontificia Universidad Católica de Chile, Santiago, Chile, Laboratorio de Neurociencia Cognitiva, Departamento de Psiquiatría, Facultad de Medicina, y Centro Interdisciplinario de Neurociencia, Pontificia Universidad Católica de Chile, Santiago, Chile, Programa de Doctorado en Psicología, Departamento de Psicología, Facultad de Ciencias Sociales, Universidad de Chile, Santiago, Chile, Departamento de Física, FCEN, UBA and IFIBA, Conicet, Pabellón 1, Ciudad Universitaria, 1428 Buenos Aires, Argentina, Universidad Torcuato Di Tella, Alte. Juan Saenz Valiente 1010, Buenos Aires C1428BIJ, Argentina, and MRC Cognition and Brain Sciences Unit, Cambridge, UK
| | - Fernando Torrente
- Laboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive Neurology (INECO), Favaloro University, Buenos Aires, Argentina, Laboratory of Cognitive and Social Neuroscience (LANCYS), UDP-INECO Foundation Core on Neuroscience (NUFIN), Universidad Diego Portales, Santiago, Chile, National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina, Parc Sanitari Joan de Deu-SSM, CIBERSAM, Universitat de Barcelona, Sant Boi, Barcelona, Spain, Escuela de Psicología, Facultad de Ciencias Sociales, Pontificia Universidad Católica de Chile, Santiago, Chile, Laboratorio de Neurociencia Cognitiva, Departamento de Psiquiatría, Facultad de Medicina, y Centro Interdisciplinario de Neurociencia, Pontificia Universidad Católica de Chile, Santiago, Chile, Programa de Doctorado en Psicología, Departamento de Psicología, Facultad de Ciencias Sociales, Universidad de Chile, Santiago, Chile, Departamento de Física, FCEN, UBA and IFIBA, Conicet, Pabellón 1, Ciudad Universitaria, 1428 Buenos Aires, Argentina, Universidad Torcuato Di Tella, Alte. Juan Saenz Valiente 1010, Buenos Aires C1428BIJ, Argentina, and MRC Cognition and Brain Sciences Unit, Cambridge, UK
| | - Marcelo Cetkovich
- Laboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive Neurology (INECO), Favaloro University, Buenos Aires, Argentina, Laboratory of Cognitive and Social Neuroscience (LANCYS), UDP-INECO Foundation Core on Neuroscience (NUFIN), Universidad Diego Portales, Santiago, Chile, National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina, Parc Sanitari Joan de Deu-SSM, CIBERSAM, Universitat de Barcelona, Sant Boi, Barcelona, Spain, Escuela de Psicología, Facultad de Ciencias Sociales, Pontificia Universidad Católica de Chile, Santiago, Chile, Laboratorio de Neurociencia Cognitiva, Departamento de Psiquiatría, Facultad de Medicina, y Centro Interdisciplinario de Neurociencia, Pontificia Universidad Católica de Chile, Santiago, Chile, Programa de Doctorado en Psicología, Departamento de Psicología, Facultad de Ciencias Sociales, Universidad de Chile, Santiago, Chile, Departamento de Física, FCEN, UBA and IFIBA, Conicet, Pabellón 1, Ciudad Universitaria, 1428 Buenos Aires, Argentina, Universidad Torcuato Di Tella, Alte. Juan Saenz Valiente 1010, Buenos Aires C1428BIJ, Argentina, and MRC Cognition and Brain Sciences Unit, Cambridge, UK
| | - Teresa Torralva
- Laboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive Neurology (INECO), Favaloro University, Buenos Aires, Argentina, Laboratory of Cognitive and Social Neuroscience (LANCYS), UDP-INECO Foundation Core on Neuroscience (NUFIN), Universidad Diego Portales, Santiago, Chile, National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina, Parc Sanitari Joan de Deu-SSM, CIBERSAM, Universitat de Barcelona, Sant Boi, Barcelona, Spain, Escuela de Psicología, Facultad de Ciencias Sociales, Pontificia Universidad Católica de Chile, Santiago, Chile, Laboratorio de Neurociencia Cognitiva, Departamento de Psiquiatría, Facultad de Medicina, y Centro Interdisciplinario de Neurociencia, Pontificia Universidad Católica de Chile, Santiago, Chile, Programa de Doctorado en Psicología, Departamento de Psicología, Facultad de Ciencias Sociales, Universidad de Chile, Santiago, Chile, Departamento de Física, FCEN, UBA and IFIBA, Conicet, Pabellón 1, Ciudad Universitaria, 1428 Buenos Aires, Argentina, Universidad Torcuato Di Tella, Alte. Juan Saenz Valiente 1010, Buenos Aires C1428BIJ, Argentina, and MRC Cognition and Brain Sciences Unit, Cambridge, UK
| | - Tristan Bekinschtein
- Laboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive Neurology (INECO), Favaloro University, Buenos Aires, Argentina, Laboratory of Cognitive and Social Neuroscience (LANCYS), UDP-INECO Foundation Core on Neuroscience (NUFIN), Universidad Diego Portales, Santiago, Chile, National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina, Parc Sanitari Joan de Deu-SSM, CIBERSAM, Universitat de Barcelona, Sant Boi, Barcelona, Spain, Escuela de Psicología, Facultad de Ciencias Sociales, Pontificia Universidad Católica de Chile, Santiago, Chile, Laboratorio de Neurociencia Cognitiva, Departamento de Psiquiatría, Facultad de Medicina, y Centro Interdisciplinario de Neurociencia, Pontificia Universidad Católica de Chile, Santiago, Chile, Programa de Doctorado en Psicología, Departamento de Psicología, Facultad de Ciencias Sociales, Universidad de Chile, Santiago, Chile, Departamento de Física, FCEN, UBA and IFIBA, Conicet, Pabellón 1, Ciudad Universitaria, 1428 Buenos Aires, Argentina, Universidad Torcuato Di Tella, Alte. Juan Saenz Valiente 1010, Buenos Aires C1428BIJ, Argentina, and MRC Cognition and Brain Sciences Unit, Cambridge, UK
| | - Facundo Manes
- Laboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive Neurology (INECO), Favaloro University, Buenos Aires, Argentina, Laboratory of Cognitive and Social Neuroscience (LANCYS), UDP-INECO Foundation Core on Neuroscience (NUFIN), Universidad Diego Portales, Santiago, Chile, National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina, Parc Sanitari Joan de Deu-SSM, CIBERSAM, Universitat de Barcelona, Sant Boi, Barcelona, Spain, Escuela de Psicología, Facultad de Ciencias Sociales, Pontificia Universidad Católica de Chile, Santiago, Chile, Laboratorio de Neurociencia Cognitiva, Departamento de Psiquiatría, Facultad de Medicina, y Centro Interdisciplinario de Neurociencia, Pontificia Universidad Católica de Chile, Santiago, Chile, Programa de Doctorado en Psicología, Departamento de Psicología, Facultad de Ciencias Sociales, Universidad de Chile, Santiago, Chile, Departamento de Física, FCEN, UBA and IFIBA, Conicet, Pabellón 1, Ciudad Universitaria, 1428 Buenos Aires, Argentina, Universidad Torcuato Di Tella, Alte. Juan Saenz Valiente 1010, Buenos Aires C1428BIJ, Argentina, and MRC Cognition and Brain Sciences Unit, Cambridge, UK
| |
Collapse
|
45
|
Zilles D, Jung R, Gruber E, Falkai P, Gruber O. Differential working memory performance as support for the Kraepelinian dichotomy between schizophrenia and bipolar disorder? An experimental neuropsychological study using circuit-specific working memory tasks. World J Biol Psychiatry 2013; 14:258-67. [PMID: 21745128 DOI: 10.3109/15622975.2011.591825] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
OBJECTIVES The traditional clinical dichotomy of schizophrenia and bipolar disorder has been challenged by recent findings of an at least in part common genetic basis. The investigation of neurocognitive functions like working memory may thereby contribute to elucidate common versus distinct pathophysiological processes of the major psychoses. To date direct comparisons of working memory functioning in schizophrenia and bipolar disorder have been rare and moreover have revealed inconsistent findings. In this study we aimed to further clarify the diagnostic specificity of working memory deficits in schizophrenia and bipolar disorder. METHODS Fifty patients with schizophrenia, 23 patients with bipolar disorder and 53 healthy controls were tested with regard to specific dysfunctions of verbal and visuospatial working memory components using a set of well-characterized, brain circuit-specific paradigms with established brain-behaviour relationships. RESULTS Patients with schizophrenia showed marked deficits across different working memory domains while bipolar patients performed intermediate with no significant differences compared to the control group. Working memory performance of patients with schizophrenia and bipolar disorder significantly differed in only one particular task requiring articulatory rehearsal of verbal information. CONCLUSIONS While these results do not provide unequivocal support for the Kraepelinian dichotomy, they are consistent with recent findings suggesting the existence of a specific subgroup of schizophrenia patients phenotypically characterized by selective deficits of the articulatory rehearsal mechanism of verbal working memory.
Collapse
Affiliation(s)
- David Zilles
- Center for Translational Research in Systems Neuroscience and Psychiatry, Department of Psychiatry, University Medical Centre, Georg August University, Goettingen, Germany
| | | | | | | | | |
Collapse
|
46
|
Wagshal D, Knowlton BJ, Cohen JR, Poldrack RA, Bookheimer SY, Bilder RM, Fernandez VG, Asarnow RF. Deficits in probabilistic classification learning and liability for schizophrenia. Psychiatry Res 2012; 200:167-72. [PMID: 22763090 PMCID: PMC5332149 DOI: 10.1016/j.psychres.2012.06.009] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2011] [Revised: 06/08/2012] [Accepted: 06/10/2012] [Indexed: 10/28/2022]
Abstract
Patients with schizophrenia show deficits in skill learning. We tested the hypothesis that impaired skill learning is associated with liability for schizophrenia by determining if it is present in non-affected siblings of patients. This study examined cognitive skill learning in adolescent siblings of patients with childhood onset schizophrenia (COS), who are at high genetic risk for the disorder, and age-matched controls. A probabilistic classification task was used to assess cognitive skill learning, which has been shown to be impaired in patients with striatal dysfunction or schizophrenia. Differences between the groups emerged within the first 50 trials of training: the controls showed significant learning while the COS siblings did not. Furthermore, after extended training over 800 additional trials the siblings of COS probands reached a lower level of asymptotic performance than controls. These results suggest that a behavioral impairment in probabilistic classification learning in healthy, unaffected siblings mirrors the deficits seen in patients and thus may reflect genetic liability for the disease.
Collapse
Affiliation(s)
- Dana Wagshal
- University of California Los Angeles, CA 90095, United States.
| | | | | | - Russell Alan Poldrack
- Imaging Research Center and Departments of Psychology and Neurobiology at University of Texas at Austin, United States
| | - Susan Yost Bookheimer
- David Geffen School of Medicine at University of California Los Angeles, United States
| | - Robert Martin Bilder
- David Geffen School of Medicine at University of California Los Angeles, United States
| | | | | |
Collapse
|
47
|
Hori H, Matsuo J, Teraishi T, Sasayama D, Kawamoto Y, Kinoshita Y, Hattori K, Hashikura M, Higuchi T, Kunugi H. Schizotypy and genetic loading for schizophrenia impact upon neuropsychological status in bipolar II and unipolar major depressive disorders. J Affect Disord 2012; 142:225-32. [PMID: 22717107 DOI: 10.1016/j.jad.2012.04.031] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2012] [Revised: 03/26/2012] [Accepted: 04/13/2012] [Indexed: 10/28/2022]
Abstract
BACKGROUND Growing evidence suggests that schizotypy and genetic loading for schizophrenia both represent risk for the development of schizophrenia. Although these conditions are known to be associated with neurocognitive impairments, such an association has not been studied in patients with bipolar II disorder (BPII) or unipolar major depressive disorder (UP). METHODS Forty-one depressed patients with BPII, 131 patients with UP and demographically matched 225 healthy controls were recruited. Schizotypy was assessed by the Schizotypal Personality Questionnaire. Neuropsychological functioning was measured by the Wechsler Memory Scale-Revised, the Wechsler Adult Intelligence Scale-Revised and the Wisconsin Card Sorting Test. RESULTS Mood disorder patients performed significantly worse than controls in verbal and visual memory, working memory and processing speed. BPII patients performed significantly more poorly than UP patients in verbal memory and executive functioning. Both BPII and UP patients demonstrated significantly greater schizotypal traits than controls. Schizotypy was significantly negatively correlated with verbal comprehension both in BPII and UP patients and with working memory and processing speed in healthy controls. Patients who had one or more first-degree relatives with schizophrenia performed significantly more poorly than the remaining patients in all cognitive domains. LIMITATIONS Most of our patients were on psychotropic medication, and the sample of BPII patients was not very large. CONCLUSIONS Liability for schizophrenia could play a pivotal role in neurocognitive functioning in mood disorders, suggesting that such liability might lie on a continuum ranging from normality through mood disorders to full-blown schizophrenia.
Collapse
Affiliation(s)
- Hiroaki Hori
- Department of Mental Disorder Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry, 4-1-1 Ogawahigashi, Kodaira, Tokyo 187-8502, Japan.
| | | | | | | | | | | | | | | | | | | |
Collapse
|
48
|
Gierski F, Hubsch B, Stefaniak N, Benzerouk F, Cuervo-Lombard C, Bera-Potelle C, Cohen R, Kahn JP, Limosin F. Executive functions in adult offspring of alcohol-dependent probands: toward a cognitive endophenotype? Alcohol Clin Exp Res 2012; 37 Suppl 1:E356-63. [PMID: 23240659 DOI: 10.1111/j.1530-0277.2012.01903.x] [Citation(s) in RCA: 44] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2011] [Accepted: 05/23/2012] [Indexed: 11/27/2022]
Abstract
BACKGROUND Executive function (EF) impairment in alcohol dependence (AD) has been related to the toxic effects of alcohol on frontal lobes. However, this impairment could be partially present before the onset of the disease and might constitute a vulnerability factor. Although a considerable body of research has investigated executive functioning among AD patients, much less attention has been directed toward high-risk individuals. Most studies were carried out among children or adolescents, and very few were conducted in adults. The aim of this study was to examine EF in a group of adult offspring of AD individuals. METHODS One hundred and fifty-five nonalcoholic adults with (family history positive [FHP]) or without (family history negative [FHN]) family history of AD were included in the study. All participants were screened for past and current psychiatric diagnoses, and alcohol, tobacco, and other substance use. They were compared on self-rated impulsiveness using the Barratt Impulsiveness Scale-11 (BIS-11) and EF using a neuropsychological test battery. RESULTS Group comparison revealed that FHP participants had significantly higher BIS-11 scores than the FHN participants, while neuropsychological examination revealed lower EF scores for FHP participants. Hierarchical regression analysis revealed that the number of AD family members was a predictor of EF results, whereas impulsiveness was not. CONCLUSIONS Nonalcoholic adult offspring of AD individuals showed increased impulsiveness and decreased EF, suggesting weakness of 2 distinct neurobehavioral decision systems. Findings support evidence that EF weaknesses may qualify as a suitable endophenotype candidate for AD.
Collapse
Affiliation(s)
- Fabien Gierski
- Department of Psychiatry, Reims University Hospital, Reims, France.
| | | | | | | | | | | | | | | | | |
Collapse
|
49
|
Peters MJV, Moritz S, Tekin S, Jelicic M, Merckelbach H. Susceptibility to misleading information under social pressure in schizophrenia. Compr Psychiatry 2012; 53:1187-93. [PMID: 22682676 DOI: 10.1016/j.comppsych.2012.04.008] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/05/2011] [Revised: 04/10/2012] [Accepted: 04/23/2012] [Indexed: 11/27/2022] Open
Abstract
Research looking at specific memory aberrations in the schizophrenia has primarily focused on their phenomenology using standardized semantic laboratory tasks. However, no study has investigated to what extent such aberrations have consequences for everyday episodic memories using more realistic false memory paradigms. Using a false memory paradigm where participants are presented with misleading suggestive information (Gudjonsson Suggestibility Scale), we investigated the susceptibility of patients with schizophrenia (n = 21) and healthy controls (n = 18) to post hoc misleading information acceptance and compliance. Patients with schizophrenia exhibited an increased susceptibility to go along with misleading suggestive items. Furthermore, they showed an increased tendency to change answers under conditions of social pressure. Underscoring previous findings on memory aberrations in schizophrenia, patients with schizophrenia had reduced levels of correct recognition (ie, true memory) relative to healthy controls. The effects remained stable when controlling for specific mediating variables such as symptom severity and intelligence in patients with schizophrenia. These findings are a first indication that social pressure and misleading information may impair source memory for everyday episodic memories in schizophrenia, and such impairment has clear consequences for treatment issues and forensic practice.
Collapse
Affiliation(s)
- Maarten J V Peters
- Department of Clinical Psychological Science, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands.
| | | | | | | | | |
Collapse
|
50
|
Uhlhaas PJ, Singer W. Neuronal Dynamics and Neuropsychiatric Disorders: Toward a Translational Paradigm for Dysfunctional Large-Scale Networks. Neuron 2012; 75:963-80. [PMID: 22998866 DOI: 10.1016/j.neuron.2012.09.004] [Citation(s) in RCA: 352] [Impact Index Per Article: 29.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/03/2012] [Indexed: 12/20/2022]
Affiliation(s)
- Peter J Uhlhaas
- Department of Neurophysiology, Max Planck Institute for Brain Research, Deutschordenstr. 46, Frankfurt am Main 60528, Germany.
| | | |
Collapse
|