1
|
Kravariti E, Fragkaki AM, Georgiades A, Cardno AG, Kane F, Kalidindi S, Schulze KK, McDonald C, Picchioni MM, Hall MH, Watson CJ, Glenthøj BY, Ebdrup BH, Fagerlund B, Lemvigh CK, Van Haren NEM, Kahn R, Murray RM, Rijsdijk F, Toulopoulou T. Transdiagnostic Neurocognitive Endophenotypes for Schizophrenia, Bipolar I Disorder and a Broad Psychosis/Bipolar I Disorder Phenotype: A Mega-Analysis of Twin and Sibling Data. Schizophr Bull 2025:sbaf050. [PMID: 40341418 DOI: 10.1093/schbul/sbaf050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/10/2025]
Abstract
BACKGROUND Psychiatric research is increasingly embracing a paradigm shift from categorical diagnoses to neurobiologically meaningful dimensions that cross current diagnostic boundaries. This transposition calls for redefining endophenotypes to accommodate transdiagnostic vulnerabilities. We sought to identify shared and disorder-specific neurocognitive endophenotypes for schizophrenia, bipolar I disorder (BD-I) and a broad psychosis/BD-I phenotype in a mega-analysis of twin/sibling data. STUDY DESIGN We performed genetic model fitting to intelligence (IQ) and computerised neurocognitive data derived from 1050 twins/siblings from three research centres in the UK, Denmark and the Netherlands, affected (n = 257) or unaffected (n = 793) by schizophrenia, other primary psychoses and BD-I. We examined the endophenotypic status of IQ, spatial working memory (SWM), visual recognition, sustained attention/rapid visual processing (RVP), mental flexibility, and spatial planning/problem solving (all validated as endophenotypes for schizophrenia in previous studies) in relation to schizophrenia, BD-I and the broad phenotype. STUDY RESULTS After covarying for age, gender, education and research centre, IQ and SWM emerged as transdiagnostic endophenotypes, showing statistically significant heritabilities (h2 67-75% and 28-30%, respectively), phenotypic correlations (rph |0.14|-|0.25|) and genetic correlations (rg |0.18|-|0.42|) with all diagnostic phenotypes. Additionally, all remaining cognitive domains received validation as endophenotypes for the broad phenotype, and all, but RVP, for schizophrenia. CONCLUSIONS IQ and SWM tap into transdiagnostic elements of the genetic vulnerabilities to psychosis and BD-I. Our findings add to emergent evidence which spurs cautious optimism that a psychiatric nosology based on aetiology rather than phenotypical classifications may be feasible in the future, enabling biotyping and novel approaches to treatment.
Collapse
Affiliation(s)
- Eugenia Kravariti
- Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London SE5 8AF, United Kingdom
| | - Anna-Maria Fragkaki
- Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London SE5 8AF, United Kingdom
- First Department of Psychiatry, School of Medicine, National and Kapodistrian University of Athens 115 27, Greece, Athens, Greece
| | - Anna Georgiades
- Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London SE5 8AF, United Kingdom
- Brent Early Intervention Service, CNWL, NHS Foundation Trust, 27-29 Fairlight Avenue, London NW10 8AL, United Kingdom
| | - Alastair G Cardno
- Division of Psychological and Social Medicine, Faculty of Medicine and Health, University of Leeds, Leeds LS2 9JT, United Kingdom
| | - Fergus Kane
- Department of Clinical, Educational and Health Psychology, University College London, London WC1E 6BT, United Kingdom
| | - Sridevi Kalidindi
- Recovery and Rehabilitation Team, Croydon Directorate, South London and Maudsley NHS Foundation Trust, London CR0 2PR, United Kingdom
| | - Katja K Schulze
- Centre for Anxiety Disorders and Trauma (CADAT), South London and Maudsley NHS Foundation Trust, London SE5 8AZ, United Kingdom
| | - Colm McDonald
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, University of Galway, Galway H91 TK33, Ireland
| | - Marco M Picchioni
- Department of Forensic and Neurodevelopmental Science, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 8AF, United Kingdom
| | - Mei-Hua Hall
- Psychosis Neurobiology Laboratory, McLean Hospital, Harvard Medical School, Belmont, Massachusetts MA 02478, United States
| | - Cameron J Watson
- South London and Maudsley NHS Foundation Trust, London SE5 8AZ, United Kingdom
- Neuropsychiatry Research and Education Group Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 8AF, United Kingdom
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London SE5 8AF, London, United Kingdom
| | - Birte Y Glenthøj
- Center for Neuropsychiatric Schizophrenia Research (CNSR)/Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS), Mental Health Center Glostrup, DK 2600, Copenhagen University Hospital - Mental Health Services CPH, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Bjørn H Ebdrup
- Center for Neuropsychiatric Schizophrenia Research (CNSR)/Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS), Mental Health Center Glostrup, DK 2600, Copenhagen University Hospital - Mental Health Services CPH, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Birgitte Fagerlund
- Center for Neuropsychiatric Schizophrenia Research (CNSR)/Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS), Mental Health Center Glostrup, DK 2600, Copenhagen University Hospital - Mental Health Services CPH, Copenhagen, Denmark
- Child and Adolescent Mental Health Center, Copenhagen University Hospital - Mental Health Services CPH, 2900 Hellerup, Denmark
- Department of Psychology, Faculty of Social Sciences, University of Copenhagen, 1353 Copenhagen K, Denmark
| | - Cecilie K Lemvigh
- Center for Neuropsychiatric Schizophrenia Research (CNSR)/Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS), Mental Health Center Glostrup, DK 2600, Copenhagen University Hospital - Mental Health Services CPH, Copenhagen, Denmark
| | - Neeltje E M Van Haren
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Center, 3000 CA Rotterdam, Netherlands
| | - Rene Kahn
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, Park Ave, New York, NY 10029, United States
| | - Robin M Murray
- Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London SE5 8AF, United Kingdom
| | - Fruhling Rijsdijk
- Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London SE5 8AF, United Kingdom
- Psychology Department, Faculty of Social Sciences, Anton de Kom University of Suriname, P.O.B. 9212 Paramaribo, Suriname, South America
| | - Timothea Toulopoulou
- First Department of Psychiatry, School of Medicine, National and Kapodistrian University of Athens 115 27, Greece, Athens, Greece
- Department of Psychology & National Magnetic Resonance Research Center (UMRAM), Aysel Sabuncu Brain Research Centre (ASBAM), Bilkent University, Ankara 06800, Turkey
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, Park Ave, New York, NY 10029, United States
| |
Collapse
|
2
|
Yassin W, Green J, Keshavan M, Del Re EC, Addington J, Bearden CE, Cadenhead KS, Cannon TD, Cornblatt BA, Mathalon DH, Perkins DO, Walker EF, Woods SW, Stone WS. Cognitive subtypes in youth at clinical high risk for psychosis. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.08.07.24311240. [PMID: 39211862 PMCID: PMC11361220 DOI: 10.1101/2024.08.07.24311240] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/04/2024]
Abstract
Introduction Schizophrenia is a mental health condition that severely impacts well-being. Cognitive impairment is among its core features, often presenting well before the onset of overt psychosis, underscoring a critical need to study it in the psychosis proneness (clinical high risk; CHR) stage, to maximize the benefits of interventions and to improve clinical outcomes. However, given the heterogeneity of cognitive impairment in this population, a one-size-fits-all approach to therapeutic interventions would likely be insufficient. Thus, identifying cognitive subtypes in this population is crucial for tailored and successful therapeutic interventions. Here we identify, validate, and characterize cognitive subtypes in large CHR samples and delineate their baseline and longitudinal cognitive and functional trajectories. Methods Using machine learning, we performed cluster analysis on cognitive measures in a large sample of CHR youth (n = 764), and demographically comparable controls (HC; n = 280) from the North American Prodrome Longitudinal Study (NAPLS) 2, and independently validated our findings with an equally large sample (NAPLS 3; n = 628 CHR, 84 HC). By utilizing several statistical approaches, we compared the clusters on cognition and functioning at baseline, and over 24 months of followup. We further delineate the conversion status within those clusters. Results Two main cognitive clusters were identified, "impaired" and "intact" across all cognitive domains in CHR compared to HC. Baseline differences between the cognitively intact cluster and HC were found in the verbal abilities and attention and working memory domains. Longitudinally, those in the cognitively impaired cluster group demonstrated an overall floor effect and did not deteriorate further over time. However, a "catch up" trajectory was observed in the attention and working memory domain. This group had higher instances of conversion overall, with these converters having significantly more non-affective psychotic disorder diagnosis versus bipolar disorder, than those with intact cognition. In the cognitively intact group, we observed differences in trajectory based on conversion status, where those who start with intact cognition and later convert demonstrate a sharp decline in attention and functioning. Functioning was significantly better in the cognitively intact than in the impaired group at baseline. Most of the cognitive trajectories demonstrate a positive relationship with functional ones. Conclusion Our findings provide evidence for intact and impaired cognitive subtypes in youth at CHR, independent of conversion status. They further indicate that attention and working memory are important to distinguish between the CHR with intact cognition and controls. The cognitively intact CHR group becomes less attentive after conversion, while the cognitively impaired one demonstrates a catch up trajectory on both attention and working memory. Overall, early evaluation, covering several cognitive domains, is crucial for identifying trajectories of improvement and deterioration for the purpose of tailoring intervention for improving outcomes in individuals at CHR for psychosis.
Collapse
|
3
|
Browne J, Wu WC, Jiang L, Singh M, Bozzay ML, Kunicki ZJ, Bayer TA, De Vito AN, Primack JM, McGeary JE, Kelso CM, Rudolph JL. Lower odds of successful community discharge after medical hospitalization for Veterans with schizophrenia: A retrospective cohort study of national data. J Psychiatr Res 2024; 173:58-63. [PMID: 38489871 PMCID: PMC11082791 DOI: 10.1016/j.jpsychires.2024.03.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Revised: 02/23/2024] [Accepted: 03/04/2024] [Indexed: 03/17/2024]
Abstract
Medical comorbidity, particularly cardiovascular diseases, contributes to high rates of hospital admission and early mortality in people with schizophrenia. The 30 days following hospital discharge represents a critical period for mitigating adverse outcomes. This study examined the odds of successful community discharge among Veterans with schizophrenia compared to those with major affective disorders and those without serious mental illness (SMI) after a heart failure hospital admission. Data for Veterans hospitalized for heart failure were obtained from the Veterans Health Administration (VHA) and Centers for Medicare & Medicaid Services between 2011 and 2019. Psychiatric diagnoses and medical comorbidities were assessed in the year prior to hospitalization. Successful community discharge was defined as remaining in the community without hospital readmission, death, or hospice for 30 days after hospital discharge. Logistic regression analyses adjusting for relevant factors were used to examine whether individuals with a schizophrenia diagnosis showed lower odds of successful community discharge versus both comparison groups. Out of 309,750 total Veterans in the sample, 7377 (2.4%) had schizophrenia or schizoaffective disorder and 32,472 (10.5%) had major affective disorders (bipolar disorder or recurrent major depressive disorder). Results from adjusted logistic regression analyses demonstrated significantly lower odds of successful community discharge for Veterans with schizophrenia compared to the non-SMI (Odds Ratio [OR]: 0.63; 95% Confidence Interval [CI]: 0.60, 0.66) and major affective disorders (OR: 0.65, 95%; CI: 0.62, 0.69) groups. Intervention efforts should target the transition from hospital to home in the subgroup of Veterans with schizophrenia.
Collapse
Affiliation(s)
- Julia Browne
- Center of Innovation in Long Term Services and Supports, VA Providence Healthcare System, Providence, RI, USA; Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA.
| | - Wen-Chih Wu
- Medical Service, VA Providence Healthcare System, Providence, RI, USA
| | - Lan Jiang
- Center of Innovation in Long Term Services and Supports, VA Providence Healthcare System, Providence, RI, USA
| | - Mriganka Singh
- Center of Innovation in Long Term Services and Supports, VA Providence Healthcare System, Providence, RI, USA
| | - Melanie L Bozzay
- Wexner Medical Center, The Ohio State University, Columbus, OH, USA
| | - Zachary J Kunicki
- Center of Innovation in Long Term Services and Supports, VA Providence Healthcare System, Providence, RI, USA; Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
| | - Thomas A Bayer
- Center of Innovation in Long Term Services and Supports, VA Providence Healthcare System, Providence, RI, USA; Division of Geriatrics and Palliative Medicine, Alpert Medical School of Brown University, Providence, RI, USA
| | - Alyssa N De Vito
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA; Memory and Aging Program, Butler Hospital, Providence, RI, USA
| | - Jennifer M Primack
- Center of Innovation in Long Term Services and Supports, VA Providence Healthcare System, Providence, RI, USA; Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
| | - John E McGeary
- Center of Innovation in Long Term Services and Supports, VA Providence Healthcare System, Providence, RI, USA; Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
| | - Catherine M Kelso
- Veterans Health Administration, Office of Patient Care Services, Geriatrics and Extended Care, Washington DC, USA
| | - James L Rudolph
- Center of Innovation in Long Term Services and Supports, VA Providence Healthcare System, Providence, RI, USA; Department of Health Services, Policy & Practice, Brown University, Providence, RI, USA
| |
Collapse
|
4
|
Dines M, Kes M, Ailán D, Cetkovich-Bakmas M, Born C, Grunze H. Bipolar disorders and schizophrenia: discrete disorders? Front Psychiatry 2024; 15:1352250. [PMID: 38745778 PMCID: PMC11091416 DOI: 10.3389/fpsyt.2024.1352250] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Accepted: 04/16/2024] [Indexed: 05/16/2024] Open
Abstract
BACKGROUND With similarities in heritability, neurobiology and symptomatology, the question has been raised whether schizophrenia and bipolar disorder are truly distinctive disorders or belong to a continuum. This narrative review summarizes common and distinctive findings from genetics, neuroimaging, cognition and clinical course that may help to solve this ethiopathogenetic puzzle. METHODS The authors conducted a literature search for papers listed in PubMed and Google Scholar, using the search terms "schizophrenia" and "bipolar disorder" combined with different terms such as "genes", "neuroimaging studies", "phenomenology differences", "cognition", "epidemiology". Articles were considered for inclusion if they were written in English or Spanish, published as full articles, if they compared subjects with schizophrenia and bipolar disorder, or subjects with either disorder with healthy controls, addressing differences between groups. RESULTS Several findings support the hypothesis that schizophrenia and bipolar disorder are discrete disorders, yet some overlapping of findings exists. The evidence for heritability of both SZ and BD is obvious, as well as the environmental impact on individual manifestations of both disorders. Neuroimaging studies support subtle differences between disorders, it appears to be rather a pattern of irregularities than an unequivocally unique finding distinguishing schizophrenia from bipolar disorder. The cognitive profile displays differences between disorders in certain domains, such as premorbid intellectual functioning and executive functions. Finally, the timing and trajectory of cognitive impairment in both disorders also differs. CONCLUSION The question whether SZ and BD belong to a continuum or are separate disorders remains a challenge for further research. Currently, our research tools may be not precise enough to carve out distinctive, unique and undisputable differences between SZ and BD, but current evidence favors separate disorders. Given that differences are subtle, a way to overcome diagnostic uncertainties in the future could be the application of artificial intelligence based on BigData. LIMITATIONS Despite the detailed search, this article is not a full and complete review of all available studies on the topic. The search and selection of papers was also limited to articles in English and Spanish. Selection of papers and conclusions may be biased by the personal view and clinical experience of the authors.
Collapse
Affiliation(s)
- Micaela Dines
- Department of Psychiatry, Instituto de Neurología Cognitiva (INECO), Buenos Aires, Argentina
- Department of Psychiatry, Instituto de Neurociencia Cognitiva y Traslacional (Consejo Nacional de Investigaciones Científicas y Técnicas - Fundación INECO - Universidad Favaloro), Buenos Aires, Argentina
| | - Mariana Kes
- Department of Psychiatry, Instituto de Neurología Cognitiva (INECO), Buenos Aires, Argentina
- Department of Psychiatry, Instituto de Neurociencia Cognitiva y Traslacional (Consejo Nacional de Investigaciones Científicas y Técnicas - Fundación INECO - Universidad Favaloro), Buenos Aires, Argentina
| | - Delfina Ailán
- Department of Psychiatry, Instituto de Neurología Cognitiva (INECO), Buenos Aires, Argentina
- Department of Psychiatry, Instituto de Neurociencia Cognitiva y Traslacional (Consejo Nacional de Investigaciones Científicas y Técnicas - Fundación INECO - Universidad Favaloro), Buenos Aires, Argentina
| | - Marcelo Cetkovich-Bakmas
- Department of Psychiatry, Instituto de Neurología Cognitiva (INECO), Buenos Aires, Argentina
- Department of Psychiatry, Instituto de Neurociencia Cognitiva y Traslacional (Consejo Nacional de Investigaciones Científicas y Técnicas - Fundación INECO - Universidad Favaloro), Buenos Aires, Argentina
| | - Christoph Born
- Department of Psychiatry, Psychiatrie Schwäbisch Hall, Ringstraße, Germany
- Department of Psychiatry, Paracelsus Medical University, Nuremberg, Germany
| | - Heinz Grunze
- Department of Psychiatry, Psychiatrie Schwäbisch Hall, Ringstraße, Germany
- Department of Psychiatry, Paracelsus Medical University, Nuremberg, Germany
| |
Collapse
|
5
|
Bora E, Eyuboglu MS, Cesim E, Demir M, Yalincetin B, Ermis C, Özbek Uzman S, Sut E, Demirlek C, Verim B, Baykara B, İnal N, Akdede BB. Social cognition and neurocognition in first-episode bipolar disorder and psychosis: The effect of negative and attenuated positive symptoms. J Affect Disord 2024; 351:356-363. [PMID: 38290586 DOI: 10.1016/j.jad.2024.01.237] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 01/13/2024] [Accepted: 01/26/2024] [Indexed: 02/01/2024]
Abstract
BACKGROUND Schizophrenia and bipolar disorder are associated with neurocognitive and social-cognitive impairments. To date very few studies investigated social cognition in first-episode bipolar disorder (FEBD). Our main aim was to investigate the differences in social cognition and neurocognition between FEBD and first-episode psychosis (FEP). Another aim was to investigate neurocognitive correlates of negative symptoms and attenuated psychotic symptoms in FEBD. METHODS This study included 55 FEBD, 64 FEP and 43 healthy controls. A comprehensive neuropsychological battery assessing social cognition, processing speed, verbal and visual memory, working memory, sustained attention, and executive functions was administered to all participants. RESULTS Both FEBD and FEP were associated with widespread deficits in all neurocognitive domains and social cognition. Both FEP (d = -1.19) and FEBP (d = -0.88) were also impaired in social cognition. In FEP, effect sizes (Cohen's d) of neurocognitive deficits ranged from -0.71 to -1.56. FEBD was also associated with relatively milder but similar neurocognitive deficits (d = -0.61 to-1.17). FEBD group performed significantly better than FEP group in verbal and visual memory, processing speed, and executive function domains (d = -0.40 to-0.52). Negative symptoms and social functioning were associated with neuropsychological impairment in both groups. The severity of attenuated psychotic symptoms was associated with poorer verbal memory in FEBD (r = -0.39, p < 0.01). LIMITATIONS The cross-sectional nature of the current study is the main limitation. CONCLUSIONS Neurocognitive and social-cognitive deficits are evident in both FEBD and FEP. In FEBD, more severe memory deficits might be markers of clinical overlap and shared neurobiological vulnerability with psychotic disorders.
Collapse
Affiliation(s)
- E Bora
- Department of Psychiatry, Faculty of Medicine, Dokuz Eylul University, Izmir, Turkey; Department of Neurosciences, Health Sciences Institute, Dokuz Eylul University, Izmir, Turkey; Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Carlton South, Victoria 3053, Australia.
| | - M S Eyuboglu
- Department of Neurosciences, Health Sciences Institute, Dokuz Eylul University, Izmir, Turkey
| | - E Cesim
- Department of Neurosciences, Health Sciences Institute, Dokuz Eylul University, Izmir, Turkey
| | - M Demir
- Department of Neurosciences, Health Sciences Institute, Dokuz Eylul University, Izmir, Turkey
| | - B Yalincetin
- Department of Neurosciences, Health Sciences Institute, Dokuz Eylul University, Izmir, Turkey
| | - C Ermis
- Queen Silvia Children's Hospital, Department Child and Adolescent Psychiatry, Gothenburg, Sweden
| | - S Özbek Uzman
- Department of Psychiatry, Faculty of Medicine, Dokuz Eylul University, Izmir, Turkey
| | - E Sut
- Department of Child and Adolescent Psychiatry, Faculty of Medicine, Dokuz Eylul University, Izmir, Turkey
| | - C Demirlek
- Department of Neurosciences, Health Sciences Institute, Dokuz Eylul University, Izmir, Turkey; Department of Psychiatry, McLean Hospital, Harvard Medical School, Belmont, MA, USA
| | - B Verim
- Department of Neurosciences, Health Sciences Institute, Dokuz Eylul University, Izmir, Turkey
| | - B Baykara
- Department of Child and Adolescent Psychiatry, Faculty of Medicine, Dokuz Eylul University, Izmir, Turkey
| | - N İnal
- Department of Child and Adolescent Psychiatry, Faculty of Medicine, Dokuz Eylul University, Izmir, Turkey
| | - B B Akdede
- Department of Psychiatry, Faculty of Medicine, Dokuz Eylul University, Izmir, Turkey; Department of Neurosciences, Health Sciences Institute, Dokuz Eylul University, Izmir, Turkey
| |
Collapse
|
6
|
Chancel R, Lopez-Castroman J, Baca-Garcia E, Mateos Alvarez R, Courtet P, Conejero I. Biomarkers of Bipolar Disorder in Late Life: An Evidence-Based Systematic Review. Curr Psychiatry Rep 2024; 26:78-103. [PMID: 38470559 DOI: 10.1007/s11920-024-01483-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/09/2024] [Indexed: 03/14/2024]
Abstract
PURPOSE OF REVIEW Review the current evidence on biomarkers for bipolar disorder in the older adults. We conducted a systematic search of PubMed MEDLINE, PsycINFO, and Web of Science databases using the MeSH search terms "Biomarkers", "Bipolar Disorder", "Aged" and and "Aged, 80 and over". Studies were included if they met the following criteria: (1) the mean age of the study population was 50 years old or older, (2) the study included patients with bipolar disorder, and (3) the study examined one type of biomarkers or more including genetic, neuroimaging, and biochemical biomarkers. Reviews, case reports, studies not in English and studies for which no full text was available were excluded. A total of 26 papers were included in the final analysis. RECENT FINDINGS Genomic markers of bipolar disorder in older adults highlighted the implication of serotonin metabolism, while the expression of genes involved in angiogenesis was dysregulated. Peripheral blood markers were mainly related with low grade inflammation, axonal damage, endothelial dysfunction, and the dysregulation of the HPA axis. Neuroanatomical markers reflected a dysfunction of the frontal cortex, a loss of neurones in the anterior cingulate cortex and a reduction of the hippocampal volume (in patients older than 50 years old). While not necessarily limited to older adults, some of them may be useful for differential diagnosis (neurofilaments), disease staging (homocysteine, BDNF) and the monitoring of treatment outcomes (matrix metalloproteinases). Our review provides a comprehensive overview of the current evidence on biomarkers for bipolar disorder in the older adults. The identification of biomarkers may aid in the diagnosis, treatment selection, and monitoring of bipolar disorder in older adults, ultimately leading to improved outcomes for this population. Further research is needed to validate and further explore the potential clinical utility of biomarkers in this population.
Collapse
Affiliation(s)
- R Chancel
- PSNREC, Univ Montpellier, INSERM, CHU de Montpellier, Montpellier, France
- Department of Emergency Psychiatry and Acute Care, Lapeyronie Hospital, CHU Montpellier, Montpellier, France
| | - J Lopez-Castroman
- Department of Psychiatry, Nimes University Hospital, Nimes, France
- Department of Signal Theory and Communications, Carlos III University, Madrid, Spain
- Institut de Génomique Fonctionnelle, University of Montpellier, CNRS-INSERM, Montpellier, France
- Centro de Investigación Biomédica en Red de Salud Mental, Madrid, Spain
| | - E Baca-Garcia
- Instituto de Investigación Sanitaria Fundación Jiménez Díaz, Madrid, Spain
- Department of Psychiatry, Hospital Universitario Rey Juan Carlos, Móstoles, Madrid, Spain
- Universidad Autónoma de Madrid, Madrid, Spain
- Department of Psychiatry, Hospital Universitario Fundación Jiménez Díaz, Madrid, Spain
- Department of Psychiatry, Hospital Universitario Central de Villalba, Madrid, Spain
- Department of Psychiatry, Hospital Universitario Infanta Elena, Valdemoro, Madrid, Spain
- Universidad Católica del Maude, Talca, Chile
- CIBERSAM, Instituto de Salud Carlos III, Madrid, Spain
| | - R Mateos Alvarez
- Department of Psychiatry, University of Santiago de Compostela, Santiago de Compostela, Spain
- Psychogeriatric Unit, CHUS University Hospital, Santiago de Compostela, Spain
| | - Ph Courtet
- PSNREC, Univ Montpellier, INSERM, CHU de Montpellier, Montpellier, France
- Department of Emergency Psychiatry and Acute Care, Lapeyronie Hospital, CHU Montpellier, Montpellier, France
| | - I Conejero
- Instituto de Investigación Sanitaria Fundación Jiménez Díaz, Madrid, Spain.
- Universidad Autónoma de Madrid, Madrid, Spain.
- Department of Psychiatry, Hospital Universitario Fundación Jiménez Díaz, Madrid, Spain.
- Department of Psychiatry, CHU Nîmes, PSNREC, INSERM, University of Montpellier, Nîmes, France.
- Pôle de psychiatrie, CHU Nîmes, Rue du Professeur Robert Debré, 30900, Nîmes, France.
| |
Collapse
|
7
|
Nicoloro-SantaBarbara J, Majd M, Miskowiak K, Burns K, Goldstein BI, Burdick KE. Cognition in Bipolar Disorder: An Update for Clinicians. FOCUS (AMERICAN PSYCHIATRIC PUBLISHING) 2023; 21:363-369. [PMID: 38695003 PMCID: PMC11058946 DOI: 10.1176/appi.focus.20230012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2024]
Abstract
Bipolar disorder is associated with cognitive deficits, which persist across mood states and affect functional outcomes. This article provides an overview of recent progress in measuring cognition in bipolar disorder and its implications for both research and clinical practice. The authors summarize work conducted over the past decade that has helped guide researchers and clinicians in the appropriate measurement of cognitive functioning in bipolar disorder, the design of research studies targeting this domain for treatment, and the implementation of screening and psychoeducational tools in the clinic. Much of this work was conducted by the International Society for Bipolar Disorders Targeting Cognition Task Force. Here, the authors also highlight the need for clinicians to be informed about this aspect of illness and to be equipped with the necessary information to assess, track, and intervene on cognitive problems when appropriate. Finally, the article identifies gaps in the literature and suggests potential future directions for research in this area.
Collapse
Affiliation(s)
- Jennifer Nicoloro-SantaBarbara
- Department of Psychiatry, Brigham and Women's Hospital, Boston (Nicoloro-SantaBarbara, Majd, Burns, Burdick); Harvard Medical School, Boston (Nicoloro-SantaBarbara, Majd, Burdick); Department of Psychology, University of Copenhagen, and Mental Health Services, Capital Region of Denmark, Copenhagen (Miskowiak); Centre for Addiction and Mental Health, Toronto (Goldstein); and Department of Psychiatry and Department of Pharmacology, University of Toronto, Toronto (Goldstein)
| | - Marzieh Majd
- Department of Psychiatry, Brigham and Women's Hospital, Boston (Nicoloro-SantaBarbara, Majd, Burns, Burdick); Harvard Medical School, Boston (Nicoloro-SantaBarbara, Majd, Burdick); Department of Psychology, University of Copenhagen, and Mental Health Services, Capital Region of Denmark, Copenhagen (Miskowiak); Centre for Addiction and Mental Health, Toronto (Goldstein); and Department of Psychiatry and Department of Pharmacology, University of Toronto, Toronto (Goldstein)
| | - Kamilla Miskowiak
- Department of Psychiatry, Brigham and Women's Hospital, Boston (Nicoloro-SantaBarbara, Majd, Burns, Burdick); Harvard Medical School, Boston (Nicoloro-SantaBarbara, Majd, Burdick); Department of Psychology, University of Copenhagen, and Mental Health Services, Capital Region of Denmark, Copenhagen (Miskowiak); Centre for Addiction and Mental Health, Toronto (Goldstein); and Department of Psychiatry and Department of Pharmacology, University of Toronto, Toronto (Goldstein)
| | - Katharine Burns
- Department of Psychiatry, Brigham and Women's Hospital, Boston (Nicoloro-SantaBarbara, Majd, Burns, Burdick); Harvard Medical School, Boston (Nicoloro-SantaBarbara, Majd, Burdick); Department of Psychology, University of Copenhagen, and Mental Health Services, Capital Region of Denmark, Copenhagen (Miskowiak); Centre for Addiction and Mental Health, Toronto (Goldstein); and Department of Psychiatry and Department of Pharmacology, University of Toronto, Toronto (Goldstein)
| | - Benjamin I Goldstein
- Department of Psychiatry, Brigham and Women's Hospital, Boston (Nicoloro-SantaBarbara, Majd, Burns, Burdick); Harvard Medical School, Boston (Nicoloro-SantaBarbara, Majd, Burdick); Department of Psychology, University of Copenhagen, and Mental Health Services, Capital Region of Denmark, Copenhagen (Miskowiak); Centre for Addiction and Mental Health, Toronto (Goldstein); and Department of Psychiatry and Department of Pharmacology, University of Toronto, Toronto (Goldstein)
| | - Katherine E Burdick
- Department of Psychiatry, Brigham and Women's Hospital, Boston (Nicoloro-SantaBarbara, Majd, Burns, Burdick); Harvard Medical School, Boston (Nicoloro-SantaBarbara, Majd, Burdick); Department of Psychology, University of Copenhagen, and Mental Health Services, Capital Region of Denmark, Copenhagen (Miskowiak); Centre for Addiction and Mental Health, Toronto (Goldstein); and Department of Psychiatry and Department of Pharmacology, University of Toronto, Toronto (Goldstein)
| |
Collapse
|
8
|
Dalloul N, Moran EK, Gold JM, Carter CS, MacDonald AW, Ragland JD, Silverstein SM, Luck SJ, Barch DM. Transdiagnostic Predictors of Everyday Functioning: Examining the Relationships of Depression and Reinforcement Learning. Schizophr Bull 2023; 49:1281-1293. [PMID: 37382553 PMCID: PMC10483466 DOI: 10.1093/schbul/sbad095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/30/2023]
Abstract
BACKGROUND AND HYPOTHESIS Impairments in function (ie, the ability to independently accomplish daily tasks) have been established in psychotic disorders. Identifying factors that contribute to these deficits is essential to developing effective interventions. The current study had several goals: examine potential differential relationships across domains of neurocognition, assess whether reinforcement learning is related to function, identify if predictors of function are transdiagnostic, determine whether depression and positive symptoms contribute to function, and to explore whether the modality of assessment impacts observed relationships. STUDY DESIGN Data from 274 participants were examined with schizophrenia/schizoaffective disorder (SZ; n = 195) and bipolar disorder (BD; n = 79). To reduce dimensionality, a PCA was completed on neurocognitive tasks which resulted in 3 components. These components and clinical interview data were used to investigate predictors of functional domains across measures of function (self- and informant-report SLOF and UPSA). RESULTS Two components, working memory/processing speed/episodic memory (βs = 0.18-0.42), and negative/positive reinforcement learning (β = -0.04), predicted different functional domains. Predictors of function were largely transdiagnostic with two exceptions: reinforcement learning had a positive association with self-reported interpersonal relationships for SZ and a negative association for BD (β = 0.34), and the negative association between positive symptoms and self-reported social acceptability was stronger for BD than for SZ (β = 0.93). Depression robustly predicted self-reported but not informant-reported function, and anhedonia predicted all domains of informant-reported function. CONCLUSIONS These findings imply that reinforcement learning may differentially relate to function across disorders, traditional domains of neurocognition can be effective transdiagnostic targets for interventions, and positive symptoms and depression play a critical role in self-perceived functional impairments.
Collapse
Affiliation(s)
- Nada Dalloul
- Department of Psychological & Brain Sciences, Washington University, St. Louis, MO, USA
| | - Erin K Moran
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - James M Gold
- Department of Psychiatry, Maryland Psychiatric Research Center, Baltimore, MD, USA
| | - Cameron S Carter
- Department of Psychiatry, University of California, Davis, CA, USA
| | - Angus W MacDonald
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - J Daniel Ragland
- Department of Psychiatry, University of California, Davis, CA, USA
| | | | - Steven J Luck
- Department of Psychology, University of California, Davis, CA, USA
| | - Deanna M Barch
- Department of Psychological & Brain Sciences, Washington University, St. Louis, MO, USA
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
- Department of Radiology, Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| |
Collapse
|
9
|
Badal VD, Depp CA, Harvey PD, Ackerman RA, Moore RC, Pinkham AE. Confidence, accuracy judgments and feedback in schizophrenia and bipolar disorder: a time series network analysis. Psychol Med 2023; 53:4200-4209. [PMID: 35478065 DOI: 10.1017/s0033291722000939] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND Inaccurate self-assessment of performance is common among people with serious mental illness, and it is associated with poor functional outcomes independent from ability. However, the temporal interdependencies between judgments of performance, confidence in accuracy, and feedback about performance are not well understood. METHODS We evaluated two tasks: the Wisconsin Card Sorting Test (WCST) and the Penn Emotion recognition task (ER40). These tasks were modified to include item-by-item confidence and accuracy judgments, along with feedback on accuracy. We evaluated these tasks as time series and applied network modeling to understand the temporal relationships between momentary confidence, accuracy judgments, and feedback. The sample constituted participants with schizophrenia (SZ; N = 144), bipolar disorder (BD; N = 140), and healthy controls (HC; N = 39). RESULTS Network models for both WCST and ER40 revealed denser and lagged connections between confidence and accuracy judgments in SZ and, to a lesser extent in BD, that were not evidenced in HC. However, associations between feedback regarding accuracy with subsequent accuracy judgments and confidence were weaker in SZ and BD. In each of these comparisons, the BD group was intermediate between HC and SZ. In analyses of the WCST, wherein incorporating feedback is crucial for success, higher confidence predicted worse subsequent performance in SZ but not in HC or BD. CONCLUSIONS While network models are exploratory, the results suggest some potential mechanisms by which challenges in self-assessment may impede performance, perhaps through hyperfocus on self-generated judgments at the expense of incorporation of feedback.
Collapse
Affiliation(s)
- Varsha D Badal
- Department of Psychiatry, University of California San Diego, San Diego, California, USA
- Sam and Rose Stein Institute for Research on Aging, University of California San Diego, San Diego, California, USA
| | - Colin A Depp
- Department of Psychiatry, University of California San Diego, San Diego, California, USA
- Sam and Rose Stein Institute for Research on Aging, University of California San Diego, San Diego, California, USA
- VA San Diego Healthcare System, La Jolla, California, USA
| | - Philip D Harvey
- Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, Miami, FL, USA
- Research Service, Miami VA Healthcare System, Miami, FL, USA
| | - Robert A Ackerman
- School of Behavioral and Brain Sciences, The University of Texas at Dallas, Richardson, TX, USA
| | - Raeanne C Moore
- Department of Psychiatry, University of California San Diego, San Diego, California, USA
- VA San Diego Healthcare System, La Jolla, California, USA
| | - Amy E Pinkham
- School of Behavioral and Brain Sciences, The University of Texas at Dallas, Richardson, TX, USA
- Department of Psychiatry, University of Texas Southwestern Medical School, Dallas, TX, USA
| |
Collapse
|
10
|
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: 3.5] [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
|
11
|
Knudsen CB, Hemager N, Jepsen JRM, Gregersen M, Greve AN, Andreassen AK, Veddum L, Brandt JM, Krantz MF, Søndergaard A, Burton BK, Thorup AAE, Nordentoft M, Lambek R, Mors O, Bliksted VF. Early Childhood Neurocognition in Relation to Middle Childhood Psychotic Experiences in Children at Familial High Risk of Schizophrenia or Bipolar Disorder and Population-Based Controls: The Danish High Risk and Resilience Study. Schizophr Bull 2023; 49:756-767. [PMID: 36548470 PMCID: PMC10154705 DOI: 10.1093/schbul/sbac198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
BACKGROUND AND HYPOTHESIS Familial high-risk (FHR) studies examining longitudinal associations between neurocognition and psychotic experiences are currently lacking. We hypothesized neurocognitive impairments at age 7 to be associated with increased risk of psychotic experiences from age 7 to 11 in children at familial high risk of schizophrenia (FHR-SZ) or bipolar disorder (FHR-BP) and population-based controls (PBC), and further, impaired functioning in some neurocognitive functions to be associated with greater risk of psychotic experiences in children at FHR-SZ or FHR-BP relative to PBC. STUDY DESIGN Neurocognition was assessed at age 7 (early childhood) and psychotic experiences from age 7 to 11 (middle childhood) in 449 children from the Danish High Risk and Resilience Study. The neurocognitive assessment covered intelligence, processing speed, attention, visuospatial and verbal memory, working memory, and set-shifting. Psychotic experiences were assessed through face-to-face interviews with the primary caregiver and the child. STUDY RESULTS Set-shifting impairments at age 7 were associated with greater risk of psychotic experiences from age 7 to 11 in children at FHR-SZ. Children at FHR-BP and PBC showed no differential associations. Working memory and visuospatial memory impairments were related to increased risk of psychotic experiences across the cohort. However, adjusting for concurrent psychopathology attenuated these findings. CONCLUSIONS Early childhood neurocognitive impairments are risk markers of middle childhood psychotic experiences, of which impaired set-shifting appears to further increase the risk of psychotic experiences in children at FHR-SZ. More research is needed to examine longitudinal associations between neurocognitive impairments and psychotic experiences in FHR samples.
Collapse
Affiliation(s)
- Christina Bruun Knudsen
- Psychosis Research Unit, Aarhus University Hospital – Psychiatry, Børglumvej 5, 1st floor, 8240 Risskov, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research – iPSYCH, Aarhus, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, Aarhus University, Aarhus, Denmark
| | - Nicoline Hemager
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research – iPSYCH, Aarhus, Denmark
- CORE – Copenhagen Research Centre for Mental Health, Mental Health Services in the Capital Region of Denmark, Mental Health Centre Copenhagen, Copenhagen, Denmark
- Child and Adolescent Mental Health Center, Copenhagen University Hospital – Mental Health Services CPH, Copenhagen, Denmark
| | - Jens Richardt Møllegaard Jepsen
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research – iPSYCH, Aarhus, Denmark
- CORE – Copenhagen Research Centre for Mental Health, Mental Health Services in the Capital Region of Denmark, Mental Health Centre Copenhagen, Copenhagen, Denmark
- Child and Adolescent Mental Health Center, Copenhagen University Hospital – Mental Health Services CPH, Copenhagen, Denmark
- Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS) and Center for Neuropsychiatric Schizophrenia Research (CNSR), Mental Health Center, Glostrup, Copenhagen University Hospital – Mental Health Services CPH, Copenhagen, Denmark
| | - Maja Gregersen
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research – iPSYCH, Aarhus, Denmark
- CORE – Copenhagen Research Centre for Mental Health, Mental Health Services in the Capital Region of Denmark, Mental Health Centre Copenhagen, Copenhagen, Denmark
| | - Aja Neergaard Greve
- Psychosis Research Unit, Aarhus University Hospital – Psychiatry, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research – iPSYCH, Aarhus, Denmark
| | - Anna Krogh Andreassen
- Psychosis Research Unit, Aarhus University Hospital – Psychiatry, Børglumvej 5, 1st floor, 8240 Risskov, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research – iPSYCH, Aarhus, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, Aarhus University, Aarhus, Denmark
| | - Lotte Veddum
- Psychosis Research Unit, Aarhus University Hospital – Psychiatry, Børglumvej 5, 1st floor, 8240 Risskov, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research – iPSYCH, Aarhus, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, Aarhus University, Aarhus, Denmark
| | - Julie Marie Brandt
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research – iPSYCH, Aarhus, Denmark
- CORE – Copenhagen Research Centre for Mental Health, Mental Health Services in the Capital Region of Denmark, Mental Health Centre Copenhagen, Copenhagen, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Mette Falkenberg Krantz
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research – iPSYCH, Aarhus, Denmark
- CORE – Copenhagen Research Centre for Mental Health, Mental Health Services in the Capital Region of Denmark, Mental Health Centre Copenhagen, Copenhagen, Denmark
- Child and Adolescent Mental Health Center, Copenhagen University Hospital – Mental Health Services CPH, Copenhagen, Denmark
| | - Anne Søndergaard
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research – iPSYCH, Aarhus, Denmark
- CORE – Copenhagen Research Centre for Mental Health, Mental Health Services in the Capital Region of Denmark, Mental Health Centre Copenhagen, Copenhagen, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Birgitte Klee Burton
- Child and Adolescent Mental Health Center, Copenhagen University Hospital – Mental Health Services CPH, Copenhagen, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Child and Adolescent Psychiatry, Copenhagen University Hospital – Psychiatry Region Zealand, Roskilde, Denmark
| | - Anne Amalie Elgaard Thorup
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research – iPSYCH, Aarhus, Denmark
- Child and Adolescent Mental Health Center, Copenhagen University Hospital – Mental Health Services CPH, Copenhagen, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Merete Nordentoft
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research – iPSYCH, Aarhus, Denmark
- CORE – Copenhagen Research Centre for Mental Health, Mental Health Services in the Capital Region of Denmark, Mental Health Centre Copenhagen, Copenhagen, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Rikke Lambek
- Department of Psychology and Behavioral Sciences, Aarhus University, Aarhus, Denmark
| | - Ole Mors
- Psychosis Research Unit, Aarhus University Hospital – Psychiatry, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research – iPSYCH, Aarhus, Denmark
| | - Vibeke Fuglsang Bliksted
- Psychosis Research Unit, Aarhus University Hospital – Psychiatry, Børglumvej 5, 1st floor, 8240 Risskov, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research – iPSYCH, Aarhus, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, Aarhus University, Aarhus, Denmark
| |
Collapse
|
12
|
Mesbah R, Koenders MA, van der Wee NJA, Giltay EJ, van Hemert AM, de Leeuw M. Association Between the Fronto-Limbic Network and Cognitive and Emotional Functioning in Individuals With Bipolar Disorder: A Systematic Review and Meta-analysis. JAMA Psychiatry 2023; 80:432-440. [PMID: 36988918 PMCID: PMC10061312 DOI: 10.1001/jamapsychiatry.2023.0131] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Accepted: 01/04/2023] [Indexed: 03/30/2023]
Abstract
Importance Individuals with bipolar disorder (BD) experience cognitive and emotional dysfunctions. Various brain circuits are implicated in BD but have not been investigated in a meta-analysis of functional magnetic resonance imaging (fMRI) studies. Objective To investigate the brain functioning of individuals with BD compared with healthy control individuals in the domains of emotion processing, reward processing, and working memory. Data Sources All fMRI experiments on BD published before March 2020, as identified in a literature search of PubMed, Embase, Web of Science, Cochrane Library, PsycInfo, Emcare, Academic Search Premier, and ScienceDirect. The literature search was conducted on February 21, 2017, and March 2, 2020, and data were analyzed from January 2021 to January 2022. Study Selection fMRI experiments comparing adult individuals with BD and healthy control individuals were selected if they reported whole-brain results, including a task assessing at least 1 of the domains. In total, 2320 studies were screened, and 253 full-text articles were evaluated. Data Extraction and Synthesis A total of 49 studies were included after selection procedure. Coordinates reporting significant activation differences between individuals with BD and healthy control individuals were extracted. Differences in brain region activity were tested using the activation likelihood estimation method. Main Outcomes and Measures A whole-brain meta-analysis evaluated whether reported differences in brain activation in response to stimuli in 3 cognitive domains between individuals with BD and healthy control individuals were different. Results The study population included 999 individuals with BD (551 [55.2%] female) and 1027 healthy control individuals (532 [51.8%] female). Compared with healthy control individuals, individuals with BD showed amygdala and hippocampal hyperactivity and hypoactivation in the inferior frontal gyrus during emotion processing (20 studies; 324 individuals with BD and 369 healthy control individuals), hyperactivation in the orbitofrontal cortex during reward processing (9 studies; 195 individuals with BD and 213 healthy control individuals), and hyperactivation in the ventromedial prefrontal cortex and subgenual anterior cingulate cortex during working memory (20 studies; 530 individuals with BD and 417 healthy control individuals). Limbic hyperactivation was only found during euthymia in the emotion and reward processing domains; abnormalities in frontal cortex activity were also found in individuals with BD with mania and depression. Conclusions and Relevance This systematic review and meta-analysis revealed evidence for activity disturbances in key brain areas involved in cognitive and emotion processing in individuals with BD. Most of the regions are part of the fronto-limbic network. The results suggest that aberrations in the fronto-limbic network, present in both euthymic and symptomatic individuals, may be underlying cognitive and emotional dysfunctions in BD.
Collapse
Affiliation(s)
- Rahele Mesbah
- Department of Psychiatry, Leiden University Medical Center, Leiden, the Netherlands
- Psychiatric Institute, Department of Mood Disorders, PsyQ Kralingen, Rotterdam, the Netherlands
- Leiden Institute for Brain and Cognition, Leiden University, Leiden, the Netherlands
| | - Manja A. Koenders
- Psychiatric Institute, Department of Mood Disorders, PsyQ Kralingen, Rotterdam, the Netherlands
- Institute of Psychology, Faculty of Social Sciences, Leiden University, Leiden, the Netherlands
| | - Nic J. A. van der Wee
- Department of Psychiatry, Leiden University Medical Center, Leiden, the Netherlands
- Leiden Institute for Brain and Cognition, Leiden University, Leiden, the Netherlands
| | - Erik J. Giltay
- Department of Psychiatry, Leiden University Medical Center, Leiden, the Netherlands
| | - Albert M. van Hemert
- Department of Psychiatry, Leiden University Medical Center, Leiden, the Netherlands
| | - Max de Leeuw
- Department of Psychiatry, Leiden University Medical Center, Leiden, the Netherlands
- Leiden Institute for Brain and Cognition, Leiden University, Leiden, the Netherlands
- Psychiatric Institute, GGZ Rivierduinen, Bipolar Disorder Outpatient Clinic, Leiden, the Netherlands
| |
Collapse
|
13
|
Uchino T, Okubo R, Takubo Y, Aoki A, Wada I, Hashimoto N, Ikezawa S, Nemoto T. Mediation Effects of Social Cognition on the Relationship between Neurocognition and Social Functioning in Major Depressive Disorder and Schizophrenia Spectrum Disorders. J Pers Med 2023; 13:jpm13040683. [PMID: 37109069 PMCID: PMC10142841 DOI: 10.3390/jpm13040683] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 04/14/2023] [Accepted: 04/18/2023] [Indexed: 04/29/2023] Open
Abstract
BACKGROUND In schizophrenia spectrum disorders (SSD), social cognition mediates the relationship between neurocognition and social functioning. Although people with major depressive disorder (MDD) also exhibit cognitive impairments, which are often prolonged, little is known about the role of social cognition in MDD. METHODS Using data obtained through an internet survey, 210 patients with SSD or MDD were selected using propensity score matching based on their demographics and illness duration. Social cognition, neurocognition, and social functioning were evaluated using the Self-Assessment of Social Cognition Impairments, Perceived Deficits Questionnaire, and Social Functioning Scale, respectively. The mediation effects of social cognition on the relationship between neurocognition and social functioning were examined in each group. Invariances of the mediation model across the two groups were then analyzed. RESULTS The SSD and MDD groups had mean ages of 44.49 and 45.35 years, contained 42.0% and 42.8% women, and had mean illness durations of 10.76 and 10.45 years, respectively. In both groups, social cognition had significant mediation effects. Configural, measurement, and structural invariances across the groups were established. CONCLUSION The role of social cognition in patients with MDD was similar to that in SSD. Social cognition could be a common endophenotype for various psychiatric disorders.
Collapse
Affiliation(s)
- Takashi Uchino
- Department of Neuropsychiatry, Faculty of Medicine, Toho University, 6-11-1 Omori-nishi, Ota-ku, Tokyo 143-8541, Japan
- Department of Psychiatry and Implementation Science, Faculty of Medicine, Toho University, 6-11-1 Omori-nishi, Ota-ku, Tokyo 143-8541, Japan
| | - Ryo Okubo
- Department of Clinical Epidemiology, Translational Medical Center, National Center of Neurology and Psychiatry, 4-1-1 Ogawa-Higashi, Kodaira, Tokyo 187-8551, Japan
| | - Youji Takubo
- Department of Neuropsychiatry, Faculty of Medicine, Toho University, 6-11-1 Omori-nishi, Ota-ku, Tokyo 143-8541, Japan
| | - Akiko Aoki
- Department of Neuropsychiatry, Faculty of Medicine, Toho University, 6-11-1 Omori-nishi, Ota-ku, Tokyo 143-8541, Japan
| | - Izumi Wada
- Department of Neuropsychiatry, Faculty of Medicine, Toho University, 6-11-1 Omori-nishi, Ota-ku, Tokyo 143-8541, Japan
| | - Naoki Hashimoto
- Department of Psychiatry, Graduate School of Medicine, Hokkaido University, North 15, West 7, Kita, Sapporo 060-8638, Japan
| | - Satoru Ikezawa
- Endowed Institute for Empowering Gifted Minds, Graduate School of Arts and Sciences, University of Tokyo, 3-8-1 Komaba, Meguro-ku, Tokyo 153-0041, Japan
| | - Takahiro Nemoto
- Department of Neuropsychiatry, Faculty of Medicine, Toho University, 6-11-1 Omori-nishi, Ota-ku, Tokyo 143-8541, Japan
- Department of Psychiatry and Implementation Science, Faculty of Medicine, Toho University, 6-11-1 Omori-nishi, Ota-ku, Tokyo 143-8541, Japan
| |
Collapse
|
14
|
Puramat P, Dimick MK, Kennedy KG, Zai CC, Kennedy JL, MacIntosh BJ, Goldstein BI. Neurostructural and neurocognitive correlates of APOE ε4 in youth bipolar disorder. J Psychopharmacol 2023; 37:408-419. [PMID: 36919310 DOI: 10.1177/02698811221147151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/16/2023]
Abstract
BACKGROUND Bipolar disorder (BD) is a clinical risk factor for Alzheimer's disease (AD). Apolipoprotein E ε4 (APOE ε4), a genetic risk factor for AD, has been associated with brain structure and neurocognition in healthy youth. AIMS We evaluated whether there was an association between APOE ε4 with neurostructure and neurocognition in youth with BD. METHODS Participants included 150 youth (78 BD:19 ε4-carriers, 72 controls:17 ε4-carriers). 3T-magnetic resonance imaging yielded measures of cortical thickness, surface area, and volume. Regions-of-interest (ROI) and vertex-wise analyses of the cortex were conducted. Neurocognitive tests of attention and working memory were examined. RESULTS Vertex-wise analyses revealed clusters with a diagnosis-by-APOE ε4 interaction effect for surface area (p = 0.002) and volume (p = 0.046) in pars triangularis (BD ε4-carriers > BD noncarriers), and surface area (p = 0.03) in superior frontal gyrus (controls ε4-carriers > other groups). ROI analyses were not significant. A significant interaction effect for working memory (p = 0.001) appeared to be driven by nominally poorer performance in BD ε4-carriers but not control ε4-carriers; however, post hoc contrasts were not significant. CONCLUSIONS APOE ε4 was associated with larger neurostructural metrics in BD and controls, however, the regional association of APOE ε4 with neurostructure differed between groups. The role of APOE ε4 on neurodevelopmental processes is a plausible explanation for the observed differences. Future studies should evaluate the association of APOE ε4 with pars triangularis and its neurofunctional implications among youth with BD.
Collapse
Affiliation(s)
- Parnian Puramat
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Department of Pharmacology and Toxicology, University of Toronto Faculty of Medicine, Toronto, ON, Canada
| | - Mikaela K Dimick
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Department of Pharmacology and Toxicology, University of Toronto Faculty of Medicine, Toronto, ON, Canada
| | - Kody G Kennedy
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Department of Pharmacology and Toxicology, University of Toronto Faculty of Medicine, Toronto, ON, Canada
| | - Clement C Zai
- Neurogenetics Section and Tanenbaum Centre for Pharmacogenetics, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Department of Psychiatry, University of Toronto Faculty of Medicine, Toronto, ON, Canada.,Institute of Medical Science, University of Toronto, Toronto, ON, Canada.,Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
| | - James L Kennedy
- Neurogenetics Section and Tanenbaum Centre for Pharmacogenetics, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Department of Psychiatry, University of Toronto Faculty of Medicine, Toronto, ON, Canada.,Institute of Medical Science, University of Toronto, Toronto, ON, Canada
| | - Bradley J MacIntosh
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada.,Hurvitz Brain Sciences, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Benjamin I Goldstein
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Department of Pharmacology and Toxicology, University of Toronto Faculty of Medicine, Toronto, ON, Canada.,Department of Psychiatry, University of Toronto Faculty of Medicine, Toronto, ON, Canada.,Institute of Medical Science, University of Toronto, Toronto, ON, Canada
| |
Collapse
|
15
|
Gebreegziabhere Y, Habatmu K, Mihretu A, Cella M, Alem A. Cognitive impairment in people with schizophrenia: an umbrella review. Eur Arch Psychiatry Clin Neurosci 2022; 272:1139-1155. [PMID: 35633394 PMCID: PMC9508017 DOI: 10.1007/s00406-022-01416-6] [Citation(s) in RCA: 114] [Impact Index Per Article: 38.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Accepted: 04/11/2022] [Indexed: 01/08/2023]
Abstract
Cognitive impairment is one of the core symptoms of schizophrenia. Quite a number of systematic reviews were published related to cognitive impairment in people with schizophrenia (PWS). This umbrella review, therefore, aimed at reviewing and synthesizing the findings of systematic reviews related to domains of cognition impaired and associated factors in PWS. We searched four electronic databases. Data related to domains, occurrence, and associated factors of cognitive impairment in PWS were extracted. The quality of all eligible systematic reviews was assessed using A MeaSurement Tool to Assess methodological quality of systematic Review (AMSTAR) tool. Results are summarized and presented in a narrative form. We identified 63 systematic reviews fulfilling the eligibility criteria. The included reviews showed that PWS had lower cognitive functioning compared to both healthy controls and people with affective disorders. Similar findings were reported among psychotropic free cases and people with first episode psychosis. Greater impairment of cognition was reported in processing speed, verbal memory, and working memory domains. Greater cognitive impairment was reported to be associated with worse functionality and poor insight. Cognitive impairment was also reported to be associated with childhood trauma and aggressive behaviour. According to our quality assessment, the majority of the reviews had moderate quality. We were able to find a good number of systematic reviews on cognitive impairment in PWS. The reviews showed that PWS had higher impairment in different cognitive domains compared to healthy controls and people with affective disorders. Impairment in domains of memory and processing speed were reported frequently.
Collapse
Affiliation(s)
- Yohannes Gebreegziabhere
- Department of Nursing, College of Health Sciences, Debre Berhan University, Debre Berhan, Ethiopia.
- Department of Psychiatry, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
| | - Kassahun Habatmu
- School of Psychology, College of Education and Behavioral Studies, Addis Ababa University, Addis Ababa, Ethiopia
| | - Awoke Mihretu
- Department of Psychiatry, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Matteo Cella
- Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, England, UK
| | - Atalay Alem
- Department of Psychiatry, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| |
Collapse
|
16
|
Visual electrophysiology and neuropsychology in bipolar disorders: a review on current state and perspectives. Neurosci Biobehav Rev 2022; 140:104764. [DOI: 10.1016/j.neubiorev.2022.104764] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 06/21/2022] [Accepted: 07/01/2022] [Indexed: 11/21/2022]
|
17
|
Knudsen CB, Hemager N, Greve AN, Lambek R, Andreassen AK, Veddum L, Brandt JM, Gregersen M, Krantz MF, Søndergaard A, Steffensen NL, Birk M, Stadsgaard HB, Ohland J, Burton BK, Jepsen JRM, Thorup AAE, Nordentoft M, Mors O, Bliksted VF. Neurocognitive Development in Children at Familial High Risk of Schizophrenia or Bipolar Disorder. JAMA Psychiatry 2022; 79:589-599. [PMID: 35385060 PMCID: PMC8988021 DOI: 10.1001/jamapsychiatry.2022.0465] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
IMPORTANCE Neurocognitive impairments exist in children at familial high risk (FHR) of schizophrenia and bipolar disorder. Studies on preadolescent developmental courses of neurocognition are important to describe shared and distinct neurodevelopmental pathways in these groups. OBJECTIVE To assess the development in specific neurocognitive functions from age 7 to 11 years in children at FHR of schizophrenia or bipolar disorder compared with children in a population-based control (PBC) group. DESIGN, SETTING, AND PARTICIPANTS The Danish High Risk and Resilience Study is a prospective, longitudinal, cohort study that collected data from January 1, 2013, to January 31, 2016 (phase 1), and from March 1, 2017, to June 30, 2020 (phase 2). Data were collected at 2 university hospitals in Denmark, and participants included 520 children at FHR of schizophrenia or bipolar disorder along with a PBC group matched with the group of children at FHR of schizophrenia by age, sex, and municipality. EXPOSURES Parental schizophrenia, bipolar disorder, or neither. MAIN OUTCOMES AND MEASURES Neurocognitive functioning was assessed with validated tests of intelligence, processing speed, attention, memory, verbal fluency, and executive functioning. Multilevel mixed-effects linear regression models with maximum likelihood estimation were used to estimate neurocognitive development from age 7 to 11 years. RESULTS At 4-year follow-up, a total of 451 children (mean [SD] age; 11.9 [0.2] years; 208 girls [46.1%]) underwent neurocognitive testing. There were a total of 170 children at FHR of schizophrenia (mean [SD] age, 12.0 [0.3]; 81 girls [47.7%]), 103 children at FHR of bipolar disorder (mean [SD] age, 11.9 [0.2] years; 45 girls [43.7%]), and 178 children in the PBC group (mean [SD] age, 11.9 [0.2] years; 82 girls [46.1%]). At either age 7 or 11 years or at both assessments, 520 children participated in the neurocognitive assessment and were therefore included in the analyses. When correcting for multiple comparisons, no statistically significant time × group interactions were observed across the 3 groups. Compared with the PBC group at 4-year follow-up, children at FHR of schizophrenia showed significant neurocognitive impairment in 7 of 24 neurocognitive measures (29.2%; Cohen d range, 0.29-0.37). Compared with children at FHR of bipolar disorder, children at FHR of schizophrenia had significant neurocognitive impairment in 5 of 24 measures (20.8%; Cohen d range, 0.29-0.38). Children at FHR of bipolar disorder and those in the PBC group did not differ significantly. CONCLUSIONS AND RELEVANCE In this cohort study, findings suggest that neurocognitive maturation was comparable across groups of children at FHR of schizophrenia or bipolar disorder compared with PBCs from age 7 to 11 years. Compared with the PBC group, children at FHR of schizophrenia demonstrated widespread, stable, neurocognitive impairments during this period, whereas children at FHR of bipolar disorder showed no neurocognitive impairments, which may indicate distinct neurodevelopmental pathways in children at FHR of schizophrenia and bipolar disorder.
Collapse
Affiliation(s)
- Christina Bruun Knudsen
- Psychosis Research Unit, Aarhus University Hospital–Psychiatry, Aarhus, Denmark,The Lundbeck Foundation Initiative for Integrative Psychiatric Research–iPSYCH, Aarhus, Denmark,Department of Clinical Medicine, Faculty of Health and Medical Sciences, Aarhus University, Aarhus, Denmark
| | - Nicoline Hemager
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research–iPSYCH, Aarhus, Denmark,Copenhagen Research Centre for Mental Health, Mental Health Services in the Capital Region of Denmark, Mental Health Centre Copenhagen, Copenhagen, Denmark,Child and Adolescent Mental Health Center, Copenhagen University Hospital–Mental Health Services, Copenhagen, Denmark
| | - Aja Neergaard Greve
- Psychosis Research Unit, Aarhus University Hospital–Psychiatry, Aarhus, Denmark,The Lundbeck Foundation Initiative for Integrative Psychiatric Research–iPSYCH, Aarhus, Denmark
| | - Rikke Lambek
- Department of Psychology and Behavioral Sciences, Aarhus University, Aarhus, Denmark
| | - Anna Krogh Andreassen
- Psychosis Research Unit, Aarhus University Hospital–Psychiatry, Aarhus, Denmark,The Lundbeck Foundation Initiative for Integrative Psychiatric Research–iPSYCH, Aarhus, Denmark,Department of Clinical Medicine, Faculty of Health and Medical Sciences, Aarhus University, Aarhus, Denmark
| | - Lotte Veddum
- Psychosis Research Unit, Aarhus University Hospital–Psychiatry, Aarhus, Denmark,The Lundbeck Foundation Initiative for Integrative Psychiatric Research–iPSYCH, Aarhus, Denmark,Department of Clinical Medicine, Faculty of Health and Medical Sciences, Aarhus University, Aarhus, Denmark
| | - Julie Marie Brandt
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research–iPSYCH, Aarhus, Denmark,Copenhagen Research Centre for Mental Health, Mental Health Services in the Capital Region of Denmark, Mental Health Centre Copenhagen, Copenhagen, Denmark,Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Maja Gregersen
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research–iPSYCH, Aarhus, Denmark,Copenhagen Research Centre for Mental Health, Mental Health Services in the Capital Region of Denmark, Mental Health Centre Copenhagen, Copenhagen, Denmark,Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Mette Falkenberg Krantz
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research–iPSYCH, Aarhus, Denmark,Copenhagen Research Centre for Mental Health, Mental Health Services in the Capital Region of Denmark, Mental Health Centre Copenhagen, Copenhagen, Denmark,Child and Adolescent Mental Health Center, Copenhagen University Hospital–Mental Health Services, Copenhagen, Denmark
| | - Anne Søndergaard
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research–iPSYCH, Aarhus, Denmark,Copenhagen Research Centre for Mental Health, Mental Health Services in the Capital Region of Denmark, Mental Health Centre Copenhagen, Copenhagen, Denmark,Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Nanna Lawaetz Steffensen
- Psychosis Research Unit, Aarhus University Hospital–Psychiatry, Aarhus, Denmark,The Lundbeck Foundation Initiative for Integrative Psychiatric Research–iPSYCH, Aarhus, Denmark
| | - Merete Birk
- Psychosis Research Unit, Aarhus University Hospital–Psychiatry, Aarhus, Denmark,The Lundbeck Foundation Initiative for Integrative Psychiatric Research–iPSYCH, Aarhus, Denmark
| | | | - Jessica Ohland
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research–iPSYCH, Aarhus, Denmark,Copenhagen Research Centre for Mental Health, Mental Health Services in the Capital Region of Denmark, Mental Health Centre Copenhagen, Copenhagen, Denmark
| | - Birgitte Klee Burton
- Child and Adolescent Mental Health Center, Copenhagen University Hospital–Mental Health Services, Copenhagen, Denmark,Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jens Richardt Møllegaard Jepsen
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research–iPSYCH, Aarhus, Denmark,Copenhagen Research Centre for Mental Health, Mental Health Services in the Capital Region of Denmark, Mental Health Centre Copenhagen, Copenhagen, Denmark,Child and Adolescent Mental Health Center, Copenhagen University Hospital–Mental Health Services, Copenhagen, Denmark,Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research and Center for Neuropsychiatric Schizophrenia Research, Mental Health Center, Glostrup, Copenhagen University Hospital–Mental Health Services CPH, Copenhagen, Denmark
| | - Anne Amalie Elgaard Thorup
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research–iPSYCH, Aarhus, Denmark,Child and Adolescent Mental Health Center, Copenhagen University Hospital–Mental Health Services, Copenhagen, Denmark,Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Merete Nordentoft
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research–iPSYCH, Aarhus, Denmark,Copenhagen Research Centre for Mental Health, Mental Health Services in the Capital Region of Denmark, Mental Health Centre Copenhagen, Copenhagen, Denmark,Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Ole Mors
- Psychosis Research Unit, Aarhus University Hospital–Psychiatry, Aarhus, Denmark,The Lundbeck Foundation Initiative for Integrative Psychiatric Research–iPSYCH, Aarhus, Denmark
| | - Vibeke Fuglsang Bliksted
- Psychosis Research Unit, Aarhus University Hospital–Psychiatry, Aarhus, Denmark,The Lundbeck Foundation Initiative for Integrative Psychiatric Research–iPSYCH, Aarhus, Denmark,Department of Clinical Medicine, Faculty of Health and Medical Sciences, Aarhus University, Aarhus, Denmark
| |
Collapse
|
18
|
Real-time facial emotion recognition deficits across the psychosis spectrum: A B-SNIP Study. Schizophr Res 2022; 243:489-499. [PMID: 34887147 PMCID: PMC9236198 DOI: 10.1016/j.schres.2021.11.027] [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: 06/22/2021] [Revised: 11/15/2021] [Accepted: 11/17/2021] [Indexed: 11/24/2022]
Abstract
Affective and non-affective psychotic disorders are associated with variable levels of impairment in affective processing, but this domain typically has been examined via presentation of static facial images. We compared performance on a dynamic facial expression identification task across six emotions (sad, fear, surprise, disgust, anger, happy) in individuals with psychotic disorders (bipolar with psychotic features [PBD] = 113, schizoaffective [SAD] = 163, schizophrenia [SZ] = 181) and healthy controls (HC; n = 236) derived from the Bipolar-Schizophrenia Network on Intermediate Phenotypes (B-SNIP). These same individuals with psychotic disorders were also grouped by B-SNIP-derived Biotype (Biotype 1 [B1] = 115, Biotype 2 [B2] = 132, Biotype 3 [B3] = 158), derived from a cluster analysis applied to a large biomarker panel that did not include the current data. Irrespective of the depicted emotion, groups differed in accuracy of emotion identification (P < 0.0001). The SZ group demonstrated lower accuracy versus HC and PBD groups; the SAD group was less accurate than the HC group (Ps < 0.02). Similar overall group differences were evident in speed of identifying emotional expressions. Controlling for general cognitive ability did not eliminate most group differences on accuracy but eliminated almost all group differences on reaction time for emotion identification. Results from the Biotype groups indicated that B1 and B2 had more severe deficits in emotion recognition than HC and B3, meanwhile B3 did not show significant deficits. In sum, this characterization of facial emotion recognition deficits adds to our emerging understanding of social/emotional deficits across the psychosis spectrum.
Collapse
|
19
|
A neuropsychological study on Leonhard's nosological system. Eur Arch Psychiatry Clin Neurosci 2022; 272:427-436. [PMID: 34269880 DOI: 10.1007/s00406-021-01298-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Accepted: 07/04/2021] [Indexed: 12/17/2022]
Abstract
Phenotype validation of endogenous psychosis is a problem that remains to be solved. This study investigated the neuropsychological performance of endogenous psychosis subtypes according to Wernicke-Kleist-Leonhard's classification system (WKL). The participants included consecutive admissions of patients with schizophrenia spectrum disorder or mood disorder with psychotic symptoms (N = 98) and healthy comparison subjects (N = 50). The patients were assessed by means of semi-structured interviews and diagnosed through the WKL system into three groups: a manic-depressive illness and cycloid psychosis group (MDC), unsystematic schizophrenia (USch) and systematic schizophrenia (SSch). All the participants completed a comprehensive neuropsychological battery. The three Leonhard's psychosis subtypes showed a common neuropsychological profile with differences in the severity of impairment relative to healthy controls. MDC patients showed better performance on premorbid intelligence, verbal memory and global cognitive index than USch and SSch patients, and they showed better performance on processing speed, and working memory than SSch patients. USch patients outperformed SSch patients in verbal memory, working memory and global cognitive index. Neuropsychological performance showed a modest accuracy for classification into the WKL nosology. Our results suggest the existence of a common profile of cognitive impairment cutting across WKL subtypes of endogenous psychosis but with significant differences on a severity continuum. In addition, classification accuracy in the three WKL subtypes by means of neuropsychological performance was modest, ranging between 40 and 64% of correctly classified patients.
Collapse
|
20
|
Haile YG, Habatmu K, Derese A, Gouse H, Lawrie SM, Cella M, Alem A. Assessing cognition in people with severe mental disorders in low- and middle-income countries: a systematic review of assessment measures. Soc Psychiatry Psychiatr Epidemiol 2022; 57:435-460. [PMID: 34145463 PMCID: PMC8934327 DOI: 10.1007/s00127-021-02120-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Accepted: 06/02/2021] [Indexed: 01/10/2023]
Abstract
BACKGROUND Cognitive difficulties are common in people with severe mental disorders (SMDs) and various measures of cognition are of proven validity. However, there is a lack of systematic evidence regarding the psychometric properties of these measures in low- and middle-income countries (LMICs). OBJECTIVE To systematically review the psychometric properties of cognitive measures validated in people with SMDs in LMICs. METHODS We conducted a systematic review of the literature by searching from four electronic databases. Two authors independently screened studies for their eligibility. Measurement properties of measures in all included studies were extracted. All eligible measures were assessed against criteria set for clinical and research recommendations. Results are summarized narratively and measures were grouped by measurement type and population. RESULTS We identified 23 unique measures from 28 studies. None of these was from low-income settings. Seventeen of the measures were performance-based. The majority (n = 16/23) of the measures were validated in people with schizophrenia. The most commonly reported measurement properties were: known group, convergent, and divergent validity (n = 25/28). For most psychometric property, studies of methodological qualities were found to be doubtful. Among measures evaluated in people with schizophrenia, Brief Assessment of Cognition in Schizophrenia, Cognitive Assessment Interview, MATRICS Consensus Cognitive Battery, and CogState Schizophrenia Battery were with the highest scores for clinical and research recommendation. CONCLUSIONS Studies included in our review provide only limited quality evidence and future studies should consider adapting and validating measures using stronger designs and methods. Nonetheless, validated assessments of cognition could help in the management and allocating therapy in people with SMDs in LMICs.
Collapse
Affiliation(s)
- Yohannes Gebreegziabhere Haile
- Department of Nursing, College of Health Sciences, Debre Berhan University, Debre Berhan, Ethiopia.
- Department of Psychiatry, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
| | - Kassahun Habatmu
- School of Psychology, College of Education and Behavioral Studies, Addis Ababa University, Addis Ababa, Ethiopia
| | - Andualem Derese
- Department of Psychiatry, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
- Department of Public Health, College of Health Sciences, Haremaya University, Harar, Ethiopia
| | - Hetta Gouse
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - Stephen M Lawrie
- Department of Psychiatry, University of Edinburgh, Edinburgh, Scotland, UK
| | - Matteo Cella
- Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, England, UK
| | - Atalay Alem
- Department of Psychiatry, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| |
Collapse
|
21
|
Russell MT, Funsch KM, Springfield CR, Ackerman RA, Depp CA, Harvey PD, Moore RC, Pinkham AE. Validity of remote administration of the MATRICS Consensus Cognitive Battery for individuals with severe mental illness. Schizophr Res Cogn 2022; 27:100226. [PMID: 34934639 PMCID: PMC8655110 DOI: 10.1016/j.scog.2021.100226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Revised: 11/17/2021] [Accepted: 11/17/2021] [Indexed: 10/25/2022]
Abstract
The MATRICS Consensus Cognitive Battery (MCCB) is a gold-standard tool for assessing cognitive functioning in individuals with severe mental illness. This study is an initial examination of the validity of remote administration of 4 MCCB tests measuring processing speed (Trail Making Test: Part A, Animal Fluency), working memory (Letter-Number Span), and verbal learning and memory (Hopkins Verbal Learning Test-Revised). We conducted analyses on individuals with bipolar disorder (BD) and schizophrenia-spectrum disorders (SCZ), as well as healthy volunteers, who were assessed in-person (BD = 80, SCZ = 116, HV = 14) vs. remotely (BD = 93, SCZ = 43, HV = 30) to determine if there were significant differences in performance based on administration format. Additional analyses tested whether remote and in-person assessment performance was similarly correlated with symptom severity, cognitive and social cognitive performance, and functional outcomes. Individuals with BD performed significantly better than those with SCZ on all MCCB subtests across administration format. Animal Fluency did not differ by administration format, but remote participants performed significantly worse on Trail Making and HVLT-R. On the Letter-Number Span task, individuals with bipolar disorder performed significantly better when participating remotely. Finally, patterns of correlations with related constructs were largely similar between administration formats. Thus, results suggest that remote administration of some of the MCCB subtests may be a valid alternative to in-person testing, but more research is necessary to determine why some tasks were affected by administration format.
Collapse
Affiliation(s)
- Madisen T Russell
- Department of Psychology, University of Texas at Dallas, 800 W. Campbell Rd., Richardson, TX 75080, United States of America
| | - Kensie M Funsch
- Department of Psychology, University of Texas at Dallas, 800 W. Campbell Rd., Richardson, TX 75080, United States of America
| | - Cassi R Springfield
- Department of Psychology, University of Texas at Dallas, 800 W. Campbell Rd., Richardson, TX 75080, United States of America
| | - Robert A Ackerman
- Department of Psychology, University of Texas at Dallas, 800 W. Campbell Rd., Richardson, TX 75080, United States of America
| | - Colin A Depp
- Department of Psychiatry, University of California San Diego, 9500 Gilman Dr., La Jolla, CA, 92093, United States of America
| | - Philip D Harvey
- Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, 1120 NW 14th Street, Miami, FL 33136, United States of America.,Research Service, Bruce W. Carter VA Medical Center, Miami, FL 33136, United States of America
| | - Raeanne C Moore
- Department of Psychiatry, University of California San Diego, 9500 Gilman Dr., La Jolla, CA, 92093, United States of America
| | - Amy E Pinkham
- Department of Psychology, University of Texas at Dallas, 800 W. Campbell Rd., Richardson, TX 75080, United States of America
| |
Collapse
|
22
|
Jiménez-López E, Villanueva-Romero CM, Sánchez-Morla EM, Martínez-Vizcaíno V, Ortiz M, Rodriguez-Jimenez R, Vieta E, Santos JL. Neurocognition, functional outcome, and quality of life in remitted and non-remitted schizophrenia: A comparison with euthymic bipolar I disorder and a control group. Schizophr Res 2022; 240:81-91. [PMID: 34991042 DOI: 10.1016/j.schres.2021.12.038] [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: 04/04/2021] [Revised: 12/20/2021] [Accepted: 12/24/2021] [Indexed: 11/28/2022]
Abstract
There are discrepancies about if the severity of the symptomatology in schizophrenia is related to neurocognitive performance, functional outcome, and quality of life (QoL). Also, there are controversial data about the comparison between euthymic bipolar patients and different subgroups of schizophrenia in neurocognition, functioning, and QoL level. The present study aimed to compare the neurocognitive performance, functional outcome, and QoL of remitted and non-remitted patients with SC with respect to a group of euthymic patients with BD, and a control group. It included 655 subjects: 98 patients with schizophrenia in remission (SC-R), 184 non-remitted patients with schizophrenia (SC-NR), 117 euthymic patients with bipolar I disorder (BD), and 256 healthy subjects. A comprehensive clinical, neurocognitive (six cognitive domains), functional, and QoL assessment was carried out. Remission criteria of Andreasen were used to classify schizophrenia patients as remitted or non-remitted. Compared with control subjects all groups of patients showed impaired neurocognitive performance, functioning and QoL. SC-R patients had an intermediate functioning between control subjects and SC-NR, all at a neurocognitive, functional, or QoL level. There were no significant differences between SC-R and BD. These results suggest that reaching clinical remission is essential to achieve a better level of psychosocial functioning, and QoL. Likewise, the results of this study suggest that euthymic patients with bipolar disorder and patients with schizophrenia in remission are comparable at the neurocognitive and functional levels, which might have implications in the pathophysiology of both disorders.
Collapse
Affiliation(s)
- Estela Jiménez-López
- Department of Psychiatry, Hospital Virgen de La Luz, Cuenca, Spain; Universidad de Castilla-La Mancha. Health and Social Research Center, Cuenca, Spain; Neurobiological Research Group. Institute of Technology, Universidad de Castilla-La Mancha, Cuenca, Spain; CIBERSAM (Biomedical Research Networking Centre in Mental Health), Spain
| | | | - Eva María Sánchez-Morla
- CIBERSAM (Biomedical Research Networking Centre in Mental Health), Spain; Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), Madrid, Spain; School of Medicine, Universidad Complutense de Madrid (UCM), Madrid, Spain; CogPsy-Group, Universidad Complutense de Madrid (UCM), Spain.
| | - Vicente Martínez-Vizcaíno
- Universidad de Castilla-La Mancha. Health and Social Research Center, Cuenca, Spain; Universidad Autónoma de Chile. Facultad de Ciencias de la Salud, Talca, Chile
| | - M Ortiz
- Interdisciplinary Center for Security, Reliability and Trust (SnT), University of Luxembourg, 1855 Luxembourg, Luxembourg
| | - Roberto Rodriguez-Jimenez
- CIBERSAM (Biomedical Research Networking Centre in Mental Health), Spain; Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), Madrid, Spain; School of Medicine, Universidad Complutense de Madrid (UCM), Madrid, Spain; CogPsy-Group, Universidad Complutense de Madrid (UCM), Spain
| | - Eduard Vieta
- CIBERSAM (Biomedical Research Networking Centre in Mental Health), Spain; Department of Psychiatry and Psychology, Institute of Neuroscience, Hospital Clínic, University of Barcelona, IDIBAPS, Barcelona, Spain
| | - José Luis Santos
- Department of Psychiatry, Hospital Virgen de La Luz, Cuenca, Spain; Neurobiological Research Group. Institute of Technology, Universidad de Castilla-La Mancha, Cuenca, Spain; CIBERSAM (Biomedical Research Networking Centre in Mental Health), Spain
| |
Collapse
|
23
|
Graph Analysis of Verbal Fluency Tests in Schizophrenia and Bipolar Disorder. Brain Sci 2022; 12:brainsci12020166. [PMID: 35203930 PMCID: PMC8870283 DOI: 10.3390/brainsci12020166] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Revised: 01/24/2022] [Accepted: 01/25/2022] [Indexed: 12/04/2022] Open
Abstract
Verbal Fluency Tests (VFT) are one of the most common neuropsychological tasks used in bipolar disorder (BD) and schizophrenia (SZ) research. Recently, a new VFT analysis method based on graph theory was developed. Interpreting spoken words as nodes and every temporal connection between consecutive words as edges, researchers created graph structures, allowing the extraction of more data from participants’ speech, called Speech Graph Attributes (SGA). The aim of our study was to compare speech graphs, derived from Phonemic and Semantic VFT, between SZ, BD, and healthy controls (HC). Twenty-nine SZ patients, twenty-nine BD patients, and twenty-nine HC performed Semantic and Phonemic VFT. Standard measures (SM) and 13 SGA were analyzed. SZ patients’ Semantic VFT graphs showed lower total word count and correct responses. Their graphs presented less nodes and edges, higher density, smaller diameter, average shortest path (ASP), and largest strongly connected component than the HC group. SM did not differentiate BD and HC groups, and patients’ Semantic VFT graphs presented smaller diameter and ASP than HC. None of the parameters differentiated BD and SZ patients. Our results encourage the use of speech graph analysis, as it reveals verbal fluency alterations that remained unnoticed in the routine comparisons of groups with the use SM.
Collapse
|
24
|
Lynham AJ, Cleaver SL, Jones IR, Walters JTR. A meta-analysis comparing cognitive function across the mood/psychosis diagnostic spectrum. Psychol Med 2022; 52:323-331. [PMID: 32624022 DOI: 10.1017/s0033291720002020] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
BACKGROUND The nature and degree of cognitive impairments in schizoaffective disorder is not well established. The aim of this meta-analysis was to characterise cognitive functioning in schizoaffective disorder and compare it with cognition in schizophrenia and bipolar disorder. Schizoaffective disorder was considered both as a single category and as its two diagnostic subtypes, bipolar and depressive disorder. METHODS Following a thorough literature search (468 records identified), we included 31 studies with a total of 1685 participants with schizoaffective disorder, 3357 with schizophrenia and 1095 with bipolar disorder. Meta-analyses were conducted for seven cognitive variables comparing performance between participants with schizoaffective disorder and schizophrenia, and between schizoaffective disorder and bipolar disorder. RESULTS Participants with schizoaffective disorder performed worse than those with bipolar disorder (g = -0.30) and better than those with schizophrenia (g = 0.17). Meta-analyses of the subtypes of schizoaffective disorder showed cognitive impairments in participants with the depressive subtype are closer in severity to those seen in participants with schizophrenia (g = 0.08), whereas those with the bipolar subtype were more impaired than those with bipolar disorder (g = -0.23) and less impaired than those with schizophrenia (g = 0.29). Participants with the depressive subtype had worse performance than those with the bipolar subtype but this was not significant (g = 0.25, p = 0.05). CONCLUSION Cognitive impairments increase in severity from bipolar disorder to schizoaffective disorder to schizophrenia. Differences between the subtypes of schizoaffective disorder suggest combining the subtypes of schizoaffective disorder may obscure a study's results and hamper efforts to understand the relationship between this disorder and schizophrenia or bipolar disorder.
Collapse
Affiliation(s)
- Amy J Lynham
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, School of Medicine, Cardiff University, Cardiff, UK
| | - Siân L Cleaver
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, School of Medicine, Cardiff University, Cardiff, UK
| | - Ian R Jones
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, School of Medicine, Cardiff University, Cardiff, UK
| | - James T R Walters
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, School of Medicine, Cardiff University, Cardiff, UK
| |
Collapse
|
25
|
Kircher T, Stein F, Nagels A. Differences in single positive formal thought disorder symptoms between closely matched acute patients with schizophrenia and mania. Eur Arch Psychiatry Clin Neurosci 2022; 272:395-401. [PMID: 33961098 PMCID: PMC8938354 DOI: 10.1007/s00406-021-01263-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Accepted: 04/20/2021] [Indexed: 12/01/2022]
Abstract
Formal thought disorders (FTD) are a hallmark diagnostic feature of schizophrenia (SZ) and (bipolar) mania (MA). FTD can be separated into positive (pFTD) and negative dimensions. It is unclear whether there are differences in pFTD on a single symptom level between acutely ill patients with SZ and MA, which cannot be attributed to cognitive impairment. We compared single pFTD symptoms in two groups of acutely ill patients with ICD-10 bipolar mania and schizophrenia, closely matched for age, sex, pFTD TALD score, verbal IQ and neuropsychological test performance (executive function, verbal fluency, attention, and working memory). SZ patients had higher severity of the TALD symptoms "perseverations" and "poverty of content of speech" than those with MA (Mann-Whitney U, significant, Bonferroni corrected). Speech in acute SZ patients differs from MA in that it conveys little information and adheres to previously mentioned ideas and topics. Matching for confounding variables, such as IQ and cognition, is important when comparing patients with different diagnoses.
Collapse
Affiliation(s)
- Tilo Kircher
- Department of Psychiatry and Psychotherapy, Philipps University of Marburg, Marburg, Germany. .,Center for Mind, Brain and Behaviour, University of Marburg, Marburg, Germany.
| | - Frederike Stein
- Department of Psychiatry and Psychotherapy, Philipps University of Marburg, Marburg, Germany ,Center for Mind, Brain and Behaviour, University of Marburg, Marburg, Germany
| | - Arne Nagels
- Department of English and Linguistic, Johannes Gutenberg-University Mainz, Mainz, Germany
| |
Collapse
|
26
|
Quidé Y, Watkeys OJ, Girshkin L, Kaur M, Carr VJ, Cairns MJ, Green MJ. Interactive effects of polygenic risk and cognitive subtype on brain morphology in schizophrenia spectrum and bipolar disorders. Eur Arch Psychiatry Clin Neurosci 2022; 272:1205-1218. [PMID: 35792918 PMCID: PMC9508053 DOI: 10.1007/s00406-022-01450-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Accepted: 06/12/2022] [Indexed: 11/29/2022]
Abstract
Grey matter volume (GMV) may be associated with polygenic risk for schizophrenia (PRS-SZ) and severe cognitive deficits in people with schizophrenia, schizoaffective disorder (collectively SSD), and bipolar disorder (BD). This study examined the interactive effects of PRS-SZ and cognitive subtypes of SSD and BD in relation to GMV. Two-step cluster analysis was performed on 146 clinical cases (69 SSD and 77 BD) assessed on eight cognitive domains (verbal and visual memory, executive function, processing speed, visual processing, language ability, working memory, and planning). Among them, 55 BD, 51 SSD, and 58 healthy controls (HC), contributed to focal analyses of the relationships between cognitive subtypes, PRS-SZ and their interaction on GMV. Two distinct cognitive subtypes were evident among the combined sample of cases: a 'cognitive deficit' group (CD; N = 31, 20SSD/11BD) showed severe impairment across all cognitive indices, and a 'cognitively spared' (CS; N = 75; 31SSD/44BD) group showed intermediate cognitive performance that was significantly worse than the HC group but better than the CD subgroup. A cognitive subgroup-by-PRS-SZ interaction was significantly associated with GMV in the left precentral gyrus. Moderation analyses revealed a significant negative relationship between PRS-SZ and GMV in the CD group only. At low and average (but not high) PRS-SZ, larger precentral GMV was evident in the CD group compared to both CS and HC groups, and in the CS group compared to HCs. This study provides evidence for a relationship between regional GMV changes and PRS-SZ in psychosis spectrum cases with cognitive deficits, but not in cases cognitively spared.
Collapse
Affiliation(s)
- Yann Quidé
- School of Clinical Medicine, Discipline of Psychiatry and Mental Health, University of New South Wales (UNSW), Sydney, NSW Australia ,Neuroscience Research Australia, Randwick, NSW Australia
| | - Oliver J. Watkeys
- School of Clinical Medicine, Discipline of Psychiatry and Mental Health, University of New South Wales (UNSW), Sydney, NSW Australia ,Neuroscience Research Australia, Randwick, NSW Australia
| | - Leah Girshkin
- School of Clinical Medicine, Discipline of Psychiatry and Mental Health, University of New South Wales (UNSW), Sydney, NSW Australia ,Neuroscience Research Australia, Randwick, NSW Australia
| | - Manreena Kaur
- School of Clinical Medicine, Discipline of Psychiatry and Mental Health, University of New South Wales (UNSW), Sydney, NSW Australia ,Neuroscience Research Australia, Randwick, NSW Australia
| | - Vaughan J. Carr
- School of Clinical Medicine, Discipline of Psychiatry and Mental Health, University of New South Wales (UNSW), Sydney, NSW Australia ,Neuroscience Research Australia, Randwick, NSW Australia ,Department of Psychiatry, Monash University, Clayton, VIC Australia
| | - Murray J. Cairns
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Callaghan, NSW Australia ,Centre for Brain and Mental Health Research, University of Newcastle, Callaghan, NSW Australia ,Hunter Medical Research Institute, New Lambton Heights, NSW Australia
| | - Melissa J. Green
- School of Clinical Medicine, Discipline of Psychiatry and Mental Health, University of New South Wales (UNSW), Sydney, NSW Australia ,Neuroscience Research Australia, Randwick, NSW Australia
| |
Collapse
|
27
|
Valerio KE, Jonas KG, Perlman G, Bromet EJ, Kotov R. A comparison of cognitive performance in the Suffolk County cohort and their unaffected siblings. Psychiatry Res 2021; 303:114111. [PMID: 34284308 PMCID: PMC8409437 DOI: 10.1016/j.psychres.2021.114111] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Revised: 06/29/2021] [Accepted: 07/10/2021] [Indexed: 10/20/2022]
Abstract
People diagnosed with schizophrenia and other psychoses demonstrate impaired neuropsychological performance. Their unaffected siblings exhibit mild impairments relative to unrelated controls, suggesting genetic and shared environmental risk for psychosis account for some portion of cognitive impairments observed in cases. However, most sibling studies were conducted early in illness course. Studying cases and unaffected siblings later in life is valuable because diagnostic misclassification is common early in illness, possibly leading to spurious conclusions. This study compared neuropsychological performance of individuals with psychotic disorders (schizophrenia and other psychoses), their unaffected siblings, and controls. Assessments were conducted 20 years after case enrollment in the Suffolk County Mental Health Project, when siblings and controls were added to the protocol. Results showed individuals with schizophrenia and other psychoses performed worse than their matched siblings across domains. Relative to controls, siblings of participants with schizophrenia showed mild deficits in executive function and processing speed, while no significant differences were observed between siblings of those with other psychoses and controls. These findings suggest pre- and post-onset factors impact cognitive deficits in psychosis, but pre-onset factors are more salient in schizophrenia. Additionally, schizophrenia and other psychoses exist on a neurodevelopmental continuum, with schizophrenia being a more severe manifestation.
Collapse
|
28
|
Bendayan R, Mascio A, Stewart R, Roberts A, Dobson RJ. Cognitive Trajectories in Comorbid Dementia With Schizophrenia or Bipolar Disorder: The South London and Maudsley NHS Foundation Trust Biomedical Research Centre (SLaM BRC) Case Register. Am J Geriatr Psychiatry 2021; 29:604-616. [PMID: 33250337 PMCID: PMC8169045 DOI: 10.1016/j.jagp.2020.10.018] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Revised: 10/30/2020] [Accepted: 10/30/2020] [Indexed: 11/18/2022]
Abstract
OBJECTIVES We aimed to compare trajectories of cognitive performance in individuals diagnosed with dementia with and without severe mental illness (SMI). DESIGN Retrospective cohort study. SETTING We used data from a large longitudinal mental healthcare case register, the Clinical Record Interactive Search (CRIS), at the South London and Maudsley NHS Foundation Trust (SLaM) which provides mental health services to four south London boroughs. PARTICIPANTS Our sample (N = 4718) consisted of any individual who had a primary or secondary diagnosis of dementia from 2007 to 2018, was 50 years old or over at first diagnosis of dementia and had at least 3 recorded Mini-Mental State Examination (MMSE) scores. MEASUREMENTS Cognitive performance was measured using MMSE. Linear mixed models were fitted to explore whether MMSE trajectories differed between individuals with or without prior/current SMI diagnoses. Models were adjusted by socio-demographics, cardiovascular risk, smoking, and medication. RESULTS AND CONCLUSIONS Our results showed differences in the rate of change, where individuals with comorbid SMI had a faster decline when compared with those that have dementia without comorbid SMI. However, this association was partially attenuated when adjusted by socio-demographics, smoking and cardiovascular risk factors; and more substantially attenuated when medication was included in models. Additional analyses showed that this accelerated decline might be more evident in individuals with bipolar disorders. Future research to detangle the potential biological underlying mechanisms of these associations is needed.
Collapse
Affiliation(s)
- Rebecca Bendayan
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience (RB, AM, AR, RJD), King's College London, London, United Kingdom; NIHR Biomedical Research Centre at South London and Maudsley NHS Foundation Trust (RB, AR, RJD), London, United Kingdom.
| | - Aurelie Mascio
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience (RB, AM, AR, RJD), King's College London, London, United Kingdom
| | - Robert Stewart
- NIHR Biomedical Research Centre at South London and Maudsley NHS Foundation Trust (RB, AR, RJD), London, United Kingdom; Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience (RS), King's College London, London, United Kingdom
| | - Angus Roberts
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience (RB, AM, AR, RJD), King's College London, London, United Kingdom; NIHR Biomedical Research Centre at South London and Maudsley NHS Foundation Trust (RB, AR, RJD), London, United Kingdom
| | - Richard J Dobson
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience (RB, AM, AR, RJD), King's College London, London, United Kingdom; NIHR Biomedical Research Centre at South London and Maudsley NHS Foundation Trust (RB, AR, RJD), London, United Kingdom; Institute of Health Informatics (RJD), University College London, London, United Kingdom
| |
Collapse
|
29
|
van Engelen MPE, Rozemuller AJM, Ulugut Erkoyun H, Groot C, Fieldhouse JLP, Koene T, Ossenkoppele R, Gossink FT, Krudop WA, Vijverberg EGB, Dols A, Barkhof F, Berckel BNMV, Scheltens P, Brain Bank N, Pijnenburg YAL. The bvFTD phenocopy syndrome: a case study supported by repeated MRI, [ 18F]FDG-PET and pathological assessment. Neurocase 2021; 27:181-189. [PMID: 33881963 DOI: 10.1080/13554794.2021.1905855] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
A clinical syndrome with neuropsychiatric features of bvFTD without neuroimaging abnormalities and a lack of decline is a phenocopy of bvFTD (phFTD). Growing evidence suggests that psychological, psychiatric and environmental factors underlie phFTD. We describe a patient diagnosed with bvFTD prior to the revision of the diagnostic guidelines of FTD. Repeated neuroimaging was normal and there was no FTD pathology at autopsy, rejecting the diagnosis. We hypothesize on etiological factors that on hindsight might have played a role. This case report contributes to the understanding of phFTD and adds to the sparse literature of the postmortem assessment of phFTD.
Collapse
Affiliation(s)
- Marie-Paule E van Engelen
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Annemieke J M Rozemuller
- Department of Pathology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Hülya Ulugut Erkoyun
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Colin Groot
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Jay L P Fieldhouse
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Ted Koene
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Rik Ossenkoppele
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.,Lund University, Clinical Memory Research Unit, Lund, Sweden
| | - Flora T Gossink
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.,Department of Old Age Psychiatry, Amsterdam, The Netherlands
| | - Welmoed A Krudop
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.,Department of Old Age Psychiatry, Amsterdam, The Netherlands.,Department of Psychiatry, Universitair Medisch Centrum Utrecht, Utrecht, The Netherlands
| | - Everard G B Vijverberg
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Annemieke Dols
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.,Department of Old Age Psychiatry, Amsterdam, The Netherlands
| | - Frederik Barkhof
- Department of Radiology & Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, The Netherlands.,Institutes of Neurology and Healthcare Engineering, University College London, London, England, UK
| | - Bart N M Van Berckel
- Department of Radiology & Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, The Netherlands
| | - Philip Scheltens
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | | | - Yolande A L Pijnenburg
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| |
Collapse
|
30
|
Brain morphology does not clearly map to cognition in individuals on the bipolar-schizophrenia-spectrum: a cross-diagnostic study of cognitive subgroups. J Affect Disord 2021; 281:776-785. [PMID: 33246649 DOI: 10.1016/j.jad.2020.11.064] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/14/2020] [Accepted: 11/08/2020] [Indexed: 01/11/2023]
Abstract
BACKGROUND Characterisation of brain morphological features common to cognitively similar individuals with bipolar disorder (BD) and schizophrenia spectrum disorders (SSD) may be key to understanding their shared neurobiological deficits. In the current study we examined whether three previously characterised cross-diagnostic cognitive subgroups differed among themselves and in comparison to healthy controls across measures of brain morphology. METHOD T1-weighted structural magnetic resonance imaging scans were obtained for 143 individuals; 65 healthy controls and 78 patients (SSD, n = 40; BD I, n = 38) classified into three cross-diagnostic cognitive subgroups: Globally Impaired (n = 24), Selectively Impaired (n = 32), and Superior/Near-Normal (n = 22). Cognitive subgroups were compared to each other and healthy controls on three separate analyses investigating (1) global, (2) regional, and (3) vertex-wise comparisons of brain volume, thickness, and surface area. RESULTS No significant subgroup differences were evident in global measures of brain morphology. In region of interest analyses, the Selectively Impaired subgroup had greater right accumbens volume than those Superior/Near-Normal subgroup and healthy controls, and the Superior/Near-Normal subgroup had reduced volume of the left entorhinal region compared to all other groups. In vertex-wise comparisons, the Globally Impaired subgroup had greater right precentral volume than the Selectively Impaired subgroup, and thicker cortex in the postcentral region relative to the Superior/Near-Normal subgroup. LIMITATIONS Exploration of medication effects was limited in our data. CONCLUSIONS Although some differences were evident in this sample, generally cross-diagnostic cognitive subgroups of individuals with SSD and BD did not appear to be clearly distinguished by patterns in brain morphology.
Collapse
|
31
|
Ver Loren van Themaat AH, Hemager N, Korsgaard Johnsen L, Klee Burton B, Ellersgaard D, Christiani C, Brandt J, Gregersen M, Falkenberg Krantz M, Søborg Spang K, Søndergaard A, Møllegaard Jepsen JR, Elgaard Thorup AA, Siebner HR, Plessen KJ, Nordentoft M, Vangkilde S. Development of visual attention from age 7 to age 12 in children with familial high risk for schizophrenia or bipolar disorder. Schizophr Res 2021; 228:327-335. [PMID: 33540144 DOI: 10.1016/j.schres.2020.12.031] [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: 04/01/2020] [Revised: 12/27/2020] [Accepted: 12/30/2020] [Indexed: 10/22/2022]
Abstract
BACKGROUND Children with familial high risk of schizophrenia (FHR-SZ) or bipolar disorder (FHR-BP) are at increased risk of developing similar disorders and show cognitive deficits during childhood. The aim of this paper is to investigate visual attention and its developmental trajectories in children with FHR-SZ and with FHR-BP to increase our knowledge about potential cognitive endophenotypes of these two disorders. METHODS We compared the performance of 89 children with FHR-SZ (N = 32), FHR-BP (N = 22), and population-based controls (PBC, N = 35) at age 7 to that at age 12 as well as including 133 12-year-old children with FHR-SZ (N = 50), FHR-BP (N = 43) and PBC (N = 40) to investigate visual attention, as part of the Danish High Risk and Resilience Study. We used the TVA-based whole report paradigm, based on the Bundesen's Theory of Visual Attention (TVA) to investigate visual attention. RESULTS Children with FHR-SZ that showed deficits in visual processing speed at age 7 improved to a level that was not significantly different from controls at age 12. All children improved over time. We found no attentional deficits in FHR children at age 12. CONCLUSIONS On visual attention, children with FHR-SZ did not show developmental deficits or lags and, together with children with FHR-BP, they develop similarly to control children between age 7 to age 12. This emphasizes the potential of beneficial neuroplastic changes in cognitive deficits found at younger ages in children with FHR-SZ. It also highlights the importance of identifying and characterizing cognitive developmental trajectories of high-risk children and provides hope that visual attention may develop appropriately in these groups.
Collapse
Affiliation(s)
- Anna Hester Ver Loren van Themaat
- Child and Adolescent Mental Health Centre, Mental Health Services, Capital Region of Denmark, Copenhagen, Denmark; Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Denmark.
| | - Nicoline Hemager
- Child and Adolescent Mental Health Centre, Mental Health Services, Capital Region of Denmark, Copenhagen, Denmark; Copenhagen Research Center for Mental Health - CORE, Mental Health Centre Copenhagen, Mental Health Services, Capital Region of Denmark, Copenhagen, Denmark; The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
| | - Line Korsgaard Johnsen
- Child and Adolescent Mental Health Centre, Mental Health Services, Capital Region of Denmark, Copenhagen, Denmark; Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Denmark
| | - Birgitte Klee Burton
- Child and Adolescent Mental Health Centre, Mental Health Services, Capital Region of Denmark, Copenhagen, Denmark; Copenhagen Research Center for Mental Health - CORE, Mental Health Centre Copenhagen, Mental Health Services, Capital Region of Denmark, Copenhagen, Denmark; The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
| | - Ditte Ellersgaard
- Copenhagen Research Center for Mental Health - CORE, Mental Health Centre Copenhagen, Mental Health Services, Capital Region of Denmark, Copenhagen, Denmark; The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
| | - Camilla Christiani
- Copenhagen Research Center for Mental Health - CORE, Mental Health Centre Copenhagen, Mental Health Services, Capital Region of Denmark, Copenhagen, Denmark; The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
| | - Julie Brandt
- Copenhagen Research Center for Mental Health - CORE, Mental Health Centre Copenhagen, Mental Health Services, Capital Region of Denmark, Copenhagen, Denmark; The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
| | - Maja Gregersen
- Copenhagen Research Center for Mental Health - CORE, Mental Health Centre Copenhagen, Mental Health Services, Capital Region of Denmark, Copenhagen, Denmark; The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
| | - Mette Falkenberg Krantz
- Copenhagen Research Center for Mental Health - CORE, Mental Health Centre Copenhagen, Mental Health Services, Capital Region of Denmark, Copenhagen, Denmark; The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
| | - Katrine Søborg Spang
- Child and Adolescent Mental Health Centre, Mental Health Services, Capital Region of Denmark, Copenhagen, Denmark; The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
| | - Anne Søndergaard
- Copenhagen Research Center for Mental Health - CORE, Mental Health Centre Copenhagen, Mental Health Services, Capital Region of Denmark, Copenhagen, Denmark; The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
| | - Jens Richardt Møllegaard Jepsen
- Child and Adolescent Mental Health Centre, Mental Health Services, Capital Region of Denmark, Copenhagen, Denmark; Copenhagen Research Center for Mental Health - CORE, Mental Health Centre Copenhagen, Mental Health Services, Capital Region of Denmark, Copenhagen, Denmark; The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark; Center for Neuropsychiatric Schizophrenia Research, Mental Health Services, Capital Region of Denmark, Copenhagen, Denmark; Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Services, Capital Region of Denmark, Copenhagen, Denmark
| | - Anne Amalie Elgaard Thorup
- Copenhagen Research Center for Mental Health - CORE, Mental Health Centre Copenhagen, Mental Health Services, Capital Region of Denmark, Copenhagen, Denmark; The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Hartwig Roman Siebner
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark; Department of Neurology, Copenhagen University Hospital Bispebjerg, Copenhagen, Denmark
| | - Kerstin Jessica Plessen
- Child and Adolescent Mental Health Centre, Mental Health Services, Capital Region of Denmark, Copenhagen, Denmark; The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark; Service of Child and Adolescent Psychiatry, Department of Psychiatry, University Medical Center, University of Lausanne, Lausanne, Switzerland
| | - Merete Nordentoft
- Copenhagen Research Center for Mental Health - CORE, Mental Health Centre Copenhagen, Mental Health Services, Capital Region of Denmark, Copenhagen, Denmark; The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Signe Vangkilde
- Child and Adolescent Mental Health Centre, Mental Health Services, Capital Region of Denmark, Copenhagen, Denmark; Center for Visual Cognition, Department of Psychology, University of Copenhagen, Denmark
| |
Collapse
|
32
|
Tamura JK, Carvalho IP, Leanna LMW, Feng JN, Rosenblat JD, Mansur R, Lee Y, Cha DS, Teopiz K, Ahmad Z, Nasri F, Kim J, McIntyre RS. Management of cognitive impairment in bipolar disorder: a systematic review of randomized controlled trials. CNS Spectr 2021:1-22. [PMID: 33706820 DOI: 10.1017/s1092852921000092] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
Cognitive impairment is common in bipolar disorder and is emerging as a therapeutic target to enhance quality of life and function. A systematic search was conducted on PubMed, PsycInfo, Cochrane, clinicaltrials.gov, and Embase databases for blinded or open-label randomized controlled trials evaluating the pro-cognitive effects of pharmacological, neurostimulation, or psychological interventions for bipolar disorder. Twenty-two trials were identified, evaluating a total of 16 different pro-cognitive interventions. The methodological quality of the identified trials were assessed using the Cochrane Risk of Bias tool. Currently, no intervention (i.e., pharmacologic, neurostimulation, cognitive remediation) has demonstrated robust and independent pro-cognitive effects in adults with bipolar disorder. Findings are preliminary and methodological limitations limit the interpretation of results. Methodological considerations including, but not limited to, the enrichment with populations with pre-treatment cognitive impairment, as well as the inclusion of individuals who are in remission are encouraged. Future trials may also consider targeting interventions to specific cognitive subgroups and the use of biomarkers of cognitive function.
Collapse
Affiliation(s)
- Jocelyn K Tamura
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, Ontario, Canada
| | - Isabelle P Carvalho
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, Ontario, Canada
| | - Lui M W Leanna
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, Ontario, Canada
| | - Jia Nuo Feng
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, Ontario, Canada
| | - Joshua D Rosenblat
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, Ontario, Canada
| | - Rodrigo Mansur
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, Ontario, Canada
| | - Yena Lee
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, Ontario, Canada
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
| | - Danielle S Cha
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, Ontario, Canada
| | - Kayla Teopiz
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, Ontario, Canada
| | - Zara Ahmad
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, Ontario, Canada
| | - Flora Nasri
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, Ontario, Canada
| | - Jiin Kim
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, Ontario, Canada
| | - Roger S McIntyre
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, Ontario, Canada
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
- Department of Pharmacology, University of Toronto, Toronto, Ontario, Canada
- Brain and Cognition Discovery Foundation, Toronto, Ontario, Canada
| |
Collapse
|
33
|
Rauer L, Trost S, Petrovic A, Gruber O. Cortical activation abnormalities in bipolar and schizophrenia patients in a combined oddball-incongruence paradigm. Eur Arch Psychiatry Clin Neurosci 2021; 271:1487-1499. [PMID: 32710172 PMCID: PMC8563619 DOI: 10.1007/s00406-020-01168-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/07/2020] [Accepted: 07/13/2020] [Indexed: 11/14/2022]
Abstract
Patients with bipolar disorder and schizophrenia often suffer from severe cognitive impairment even during times of remission. This study investigated the pathomechanisms underlying their deficits in cognitive control. A combined oddball-incongruence fMRI task was applied to examine similarities and differences of neural activation patterns between patients and healthy controls. Bipolar and schizophrenia patients demonstrated hyperactivations in the intraparietal cortex during the oddball condition. Furthermore, bipolar patients revealed diagnosis-specific hyperactivation in the left middle frontal gyrus, precentral gyrus, anteroventral prefrontal cortex and orbitofrontal cortex regions compared to schizophrenia patients and healthy individuals. In comparison to healthy controls the patients showed hypoactivations in the inferior frontal junction and ventral pathway during the cognitively more demanding incongruence. Taken together, bipolar patients seem to recruit frontal and parietal areas during the oddball condition to compensate for potential deficits in their attentional network. During more challenging tasks, i.e., the incongruence condition, their compensatory mechanisms seem to collapse leading to hypoactivations in the same frontal areas as well as the ventral pathway.
Collapse
Affiliation(s)
- Lisa Rauer
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, University Hospital Heidelberg, 69115, Heidelberg, Germany.
| | - Sarah Trost
- grid.411984.10000 0001 0482 5331Department of Psychiatry and Psychotherapy, Center for Translational Research in Systems Neuroscience and Clinical Psychiatry, University Medical Center Göttingen, 37075 Göttingen, Germany
| | - Aleksandra Petrovic
- grid.411984.10000 0001 0482 5331Department of Psychiatry and Psychotherapy, Center for Translational Research in Systems Neuroscience and Clinical Psychiatry, University Medical Center Göttingen, 37075 Göttingen, Germany
| | - Oliver Gruber
- grid.5253.10000 0001 0328 4908Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, University Hospital Heidelberg, 69115 Heidelberg, Germany
| |
Collapse
|
34
|
Keramatian K, Torres IJ, Yatham LN. Neurocognitive functioning in bipolar disorder: What we know and what we don’t. DIALOGUES IN CLINICAL NEUROSCIENCE 2021; 23:29-38. [PMID: 35860174 PMCID: PMC9286730 DOI: 10.1080/19585969.2022.2042164] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Introduction: This narrative review of systematic reviews and meta-analyses aims at compiling available evidence in various aspects of neurocognitive functioning in Bipolar Disorder (BD). Methods: We conducted a MEDLINE literature search and identified 38 relevant systematic reviews and metaanalyses. Results: Current evidence suggests that BD is associated with cognitive impairment across multiple domains and during all clinical states. However, there is a considerable cognitive heterogeneity within BD, which cannot be explained by clinical subtypes, and the pattern of neurocognitive impairment in BD overlaps with other psychiatric conditions such as major depression and schizophrenia. Residual depressive symptoms, poor clinical course and higher number of manic episodes may negatively impact cognitive performance, which is a major predictor of general functioning in BD. Evidence from available prospective studies does not support the notion of progressive cognitive decline in BD while some evidence exists to suggest patients may show some improvements in cognitive functioning following the first manic episode. Furthermore, a subset of patients may show premorbid cognitive abnormalities that could signal an early neurodevelopmental aetiology. Preliminary findings from small studies identify potential pro-cognitive effects of Cognitive Remediation, erythropoietin, intranasal insulin, lurasidone, mifepristone, repetitive Transcranial Magnetic Stimulation and transcranial Direct Current Stimulation in BD. Discussion: Longitudinal studies in high-risk individuals can provide a better understanding of the development and progression of neurocognitive impairment in BD. Largescale randomised control trials are needed to compare the pro-cognitive efficacy of various pharmacological and non-pharmacological interventions in different cognitive subgroups of patients at different stages of BD.
Collapse
Affiliation(s)
- Kamyar Keramatian
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Ivan J. Torres
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Lakshmi N. Yatham
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| |
Collapse
|
35
|
Afshari B, Shiri N, Ghoreishi FS, Valianpour M. Examination and Comparison of Cognitive and Executive Functions in Clinically Stable Schizophrenia Disorder, Bipolar Disorder, and Major Depressive Disorder. DEPRESSION RESEARCH AND TREATMENT 2020; 2020:2543541. [PMID: 33414961 PMCID: PMC7752301 DOI: 10.1155/2020/2543541] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 02/29/2020] [Revised: 11/29/2020] [Accepted: 12/10/2020] [Indexed: 12/16/2022]
Abstract
BACKGROUND Schizophrenia (SC), bipolar disorder (BD), and major depressive disorder (MDD) are associated with various cognitive and executive dysfunctions. The aim of the present study was to evaluate and compare cognitive and executive dysfunctions in schizophrenia, bipolar disorder, and major depressive disorder. MATERIALS AND METHODS Sixty-four schizophrenia patients, 68 bipolar patients, 62 patients with major depressive disorder, and 75 healthy individuals participated in the present study. All participants were assessed with the Structured Clinical Interview for DSM-IV Axis I Disorders (SCID-I), Young Mania Rating Scale (YMRS), Positive and Negative Syndrome Scale (PANSS), Beck Depression Inventory (BDI-II), Trial Making Test (TMT), Four-Choice Reaction Time Task, Ruler Drop Method (RDM), Tower of London (TOL) task, and the Wisconsin Card Sorting Task (WCST). Data were analyzed by chi-square, Kolmogorov-Smirnov, and independent t-tests; ANOVA; and MANOVA. RESULTS In the cognitive function, the scores of SC, BD, and MDD patients were lower than those of healthy individuals. Also, the scores of MDD patients were lower than those of other patients, and the scores of BD patients were lower than those of SC patients. In the executive function, the scores of SC, BD, and MDD patients were lower than those of healthy individuals. Moreover, the scores of the MDD group were higher than those of the BD and SC groups, and the scores of the SC group were higher than those of the BD group. CONCLUSION Patients with SC, BD, and MDD have poorer cognitive and executive functions than healthy individuals, even when these patients are in a stable state. Assessment of cognitive and executive functions in SC, BD, and MDD patients can help in understanding the pathology of these disorders.
Collapse
Affiliation(s)
| | - Nasrin Shiri
- Kashan University of Medical Science, Kashan, Iran
| | | | | |
Collapse
|
36
|
Distinct Associations of Cognitive Impairments and Reduced Gray Matter Volumes in Remitted Patients with Schizophrenia and Bipolar Disorder. Neural Plast 2020; 2020:8859388. [PMID: 33381163 PMCID: PMC7748913 DOI: 10.1155/2020/8859388] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Revised: 11/04/2020] [Accepted: 11/30/2020] [Indexed: 12/12/2022] Open
Abstract
Background Cognitive impairments are documented in schizophrenia (SZ) and bipolar disorder (BD) and may be related to gray matter volumes (GMVs). Thus, this study is aimed at exploring whether the association between cognitive impairments and GMV alterations is similar in patients with SZ and BD and understanding the underlying neurobiological mechanisms. Methods A total of 137 adult subjects (46 with SZ, 35 with BD, and 56 age-, sex-, and education-matched healthy controls (HC)) completed the MATRICS Consensus Cognitive Battery (MCCB) and structural magnetic resonance imaging scanning. We performed group comparisons of the cognitive impairments, the GMV alterations, and the association between them. Results Compared with HC, the patients with SZ and BD showed shared deficits in 4 cognitive domains (i.e., processing speed, working memory, problem solving, and social cognition) and the composite. SZ and BD had commonly decreased GMVs, mainly in the insula, superior temporal pole, amygdala, anterior cingulate, and frontal cortices (superior, middle, opercular inferior, and orbital frontal gyrus). No correlation between MCCB scores and GMVs was detected in SZ. However, for BD, working memory was relevant to the right hemisphere (i.e., right insula, amygdala, superior temporal pole, and medial and dorsolateral superior frontal gyrus). Limitations. The major limitations were that not all patients were the first-episode status and no medication. Conclusions The association was mainly limited to the BD group. Thus, the underlying pathophysiology of the cognitive deficits, in terms of GMV alterations, may be diverse between two disorders.
Collapse
|
37
|
Ceylan D, Akdede BB, Bora E, Aktener AY, Hıdıroğlu Ongun C, Tunca Z, Alptekin K, Özerdem A. Neurocognitive functioning during symptomatic states and remission in bipolar disorder and schizophrenia: A comparative study. Psychiatry Res 2020; 292:113292. [PMID: 32707217 DOI: 10.1016/j.psychres.2020.113292] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2019] [Revised: 06/21/2020] [Accepted: 07/10/2020] [Indexed: 01/04/2023]
Abstract
Aims Patients with bipolar disorder present milder cognitive impairment in comparison to patients with schizophrenia. Psychotic symptoms are associated with poorer cognitive functioning in both disorders. We aim to compare cognitive dysfunction between bipolar disorder and schizophrenia across symptomatic and remitted states. Methods An extensive cognitive battery was used to assess bipolar disorder patients (32 in manic episodes with psychotic features, 44 in euthymia), patients with schizophrenia (41 symptomatic, 39 remitted), and 55 healthy controls. A global cognitive factor and six neurocognitive domain factors were identified using principal component analyses. Results Global cognition components differed according to both illness and remission status; working memory differed according to remission status regardless of diagnosis; verbal fluency differed according to diagnosis regardless of remission status. An omnibus F test revealed that the remission state had a significant impact on processing speed in schizophrenia. Conclusion Our data suggest that both disorders are associated with state dependent (i.e., global cognition and working memory) and diagnosis dependent (i.e., global cognition and verbal fluency) neurocognitive dysfunctions. Processing speed was exclusively influenced by symptomatic states of schizophrenia.
Collapse
Affiliation(s)
- Deniz Ceylan
- Koç University, Faculty of Medicine, Department of Psychiatry, Istanbul, Turkey; Izmir University of Economics, Department of Psychiatry, Izmir, Turkey.
| | - Berna Binnur Akdede
- Izmir University of Economics, Department of Psychiatry, Izmir, Turkey; Dokuz Eylül University, Faculty of Medicine, Department of Psychiatry, Izmir, Turkey
| | - Emre Bora
- Dokuz Eylül University, Faculty of Medicine, Department of Psychiatry, Izmir, Turkey; Department of Psychiatry, Melbourne Neuropsychiatry Centre, University of Melbourne and Melbourne Health, Carlton South, Victoria 3053, Australia
| | | | | | - Zeliha Tunca
- Dokuz Eylül University, Faculty of Medicine, Department of Psychiatry, Izmir, Turkey
| | - Köksal Alptekin
- Izmir University of Economics, Department of Psychiatry, Izmir, Turkey; Dokuz Eylül University, Faculty of Medicine, Department of Psychiatry, Izmir, Turkey
| | - Ayşegül Özerdem
- Mayo Clinic, Department of Psychiatry and Psychology, 200 First Street SW, Rochester, MN 55905, USA
| |
Collapse
|
38
|
Whitton AE, Merchant JT, Lewandowski KE. Dissociable mechanisms underpinning effort-cost decision-making across the psychosis spectrum. Schizophr Res 2020; 224:133-140. [PMID: 33046339 DOI: 10.1016/j.schres.2020.09.014] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2019] [Revised: 08/24/2020] [Accepted: 09/20/2020] [Indexed: 10/23/2022]
Abstract
Recent theoretical models propose that abnormal effort-cost decision-making (ECDM) likely has divergent underpinnings across mood and psychotic disorders. However, whether this same model applies to individuals across the psychosis spectrum, including individuals with affective psychosis, remains unclear. This study aimed to empirically test whether two component processes - working memory and reward learning - contribute to ECDM impairment across the psychosis spectrum. ECDM was assessed using the Effort Expenditure for Rewards Task in individuals with psychotic disorders (n = 190) and healthy controls (n = 52). Working memory was assessed using a Digit Sequencing Task and reward learning was assessed using a Probabilistic Reward Task. Relative to the control group, the psychosis group showed reduced willingness to expend effort for higher probability, higher value rewards. This effect was most pronounced in individuals with schizophrenia and schizoaffective disorder relative to individuals with psychotic bipolar disorder. Across the whole sample, better working memory but not reward learning predicted greater willingness to expend effort for higher probability rewards. However, the link between working memory and ECDM differed as a function of patient symptom profile. Specifically, working memory was only predictive of ECDM for individuals with less severe negative symptoms and minimal depressive symptoms. For individuals with more severe negative symptoms, poorer ECDM was instead predicted by deficits in reward learning. Although these findings reiterate the important link between working memory and ECDM in individuals with psychotic disorders, they also show that this link varies in accordance with the presence of prominent negative and depressive symptoms.
Collapse
Affiliation(s)
- Alexis E Whitton
- Black Dog Institute, University of New South Wales, Sydney, NSW, Australia; Department of Psychiatry, Harvard Medical School, Boston, MA, USA.
| | - Jaisal T Merchant
- Schizophrenia and Bipolar Disorder Program, McLean Hospital, Belmont, MA, USA.
| | - Kathryn E Lewandowski
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA; Schizophrenia and Bipolar Disorder Program, McLean Hospital, Belmont, MA, USA.
| |
Collapse
|
39
|
Li W, Zhou FC, Zhang L, Ng CH, Ungvari GS, Li J, Xiang YT. Comparison of cognitive dysfunction between schizophrenia and bipolar disorder patients: A meta-analysis of comparative studies. J Affect Disord 2020; 274:652-661. [PMID: 32663999 DOI: 10.1016/j.jad.2020.04.051] [Citation(s) in RCA: 55] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2020] [Revised: 04/19/2020] [Accepted: 04/27/2020] [Indexed: 01/01/2023]
Abstract
OBJECTIVE Cognitive dysfunction is common in both schizophrenia and bipolar disorder. This is a meta-analysis of studies that compared cognitive dysfunction between schizophrenia and bipolar disorder. METHODS Both international and Chinese databases were systematically searched. Studies that compared cognitive function between schizophrenia and bipolar disorder with the MATRICS Consensus Cognitive Battery (MCCB) were analyzed using the random-effects model. RESULTS Twelve studies with 9,518 participants (4,411 schizophrenia and 5,107 bipolar patients) were included in the analyses. Schizophrenia patients performed significantly worse than bipolar patients on the MCCB total scores with a large effect size (SMD=-0.80, 95%CI: -1.21 to -0.39), as well as on all the 7 subscale scores; attention (SMD=-2.56, 95%CI: -3.55 to -1.57) and social cognition (SMD=-0.86, 95%CI: -1.13 to -0.58) with large effect sizes; and speed of processing (SMD=-0.75, 95%CI: -1.00 to -0.49), working memory (SMD=-0.68, 95%CI: -0.91 to -0.45), verbal learning (SMD=-0.78, 95%CI: -0.95 to -0.61), visual learning (SMD=-0.65, 95%CI: -0.83 to -0.48), and reasoning and problem solving (SMD=-0.61, 95%CI: -0.93 to -0.29) with medium effect sizes. CONCLUSION Compared to bipolar patients, patients with schizophrenia had more severe cognitive dysfunction in this meta-analysis, particularly in attention and social cognition. Timely assessment and treatment of cognitive dysfunction should be part of standard management protocols in both schizophrenia and bipolar disorder.
Collapse
Affiliation(s)
- Wen Li
- Unit of Psychiatry, Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China; Center for Cognition and Brain Sciences, University of Macau, Macao SAR, China
| | - Fu-Chun Zhou
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Ling Zhang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Chee H Ng
- Department of Psychiatry, The Melbourne Clinic and St Vincent's Hospital, University of Melbourne, Richmond, Victoria, Australia
| | - Gabor S Ungvari
- Division of Psychiatry, School of Medicine, University of Western Australia, Perth, Australia; University of Notre Dame Australia, Fremantle, Australia
| | - Jun Li
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, China
| | - Yu-Tao Xiang
- Unit of Psychiatry, Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macao SAR, China; Center for Cognition and Brain Sciences, University of Macau, Macao SAR, China.
| |
Collapse
|
40
|
Annette S, Stephan G, Mueser KT, Martin H, Elisabeth R, Ulrich G, Marketa C, Rolf E, Hans-Jürgen M, Peter F. A 2-year longitudinal study of neuropsychological functioning, psychosocial adjustment and rehospitalisation in schizophrenia and major depression. Eur Arch Psychiatry Clin Neurosci 2020; 270:699-708. [PMID: 32246196 PMCID: PMC7423783 DOI: 10.1007/s00406-020-01118-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2019] [Accepted: 02/03/2020] [Indexed: 02/07/2023]
Abstract
Neuropsychological functioning turns out to be a rate-limiting factor in psychiatry. However, little is known when comparing neuropsychological and psychosocial functioning in inpatients with schizophrenia or severe depression in their treatment pathways including add-on psychoeducation or the latter combined with cognitive behavioral therapy up to 2-year follow-up. To evaluate this question, we investigated these variables in two randomised controlled trials including 196 patients with DSM-IV schizophrenia and 177 patients with major depression. Outcome measures were assessed in the hospital at pre- and posttreatment and following discharge until 2-year follow-up. We focused on neuropsychological and psychosocial functioning regarding its differences and changes over time in data of two pooled trials. There were significant time effects indicating gains in knowledge about the illness, short and medium-term memory (VLMT) and psychosocial functioning (GAF), however, the latter was the only variable showing a time x study/diagnosis interaction effect at 2-year follow-up, showing significant better outcome in depression compared to schizophrenia. Moderator analysis showed no changes in psychosocial and neuropsychological functioning in schizophrenia and in affective disorders due to age, duration of illness or sex. Looking at the rehospitalisation rates there were no significant differences between both disorders. Both groups treated with psychoeducation or a combination of psychoeducation and CBT improved in neuropsychological and psychosocial functioning as well as knowledge about the illness at 2-year follow-up, however, patients with major depression showed greater gains in psychosocial functioning compared to patients with schizophrenia. Possible implications of these findings were discussed.
Collapse
Affiliation(s)
- Schaub Annette
- Department of Psychiatry and Psychotherapy, University Hospital, Ludwig Maximilian University of Munich, Nussbaumstr.7, 80336, Munich, Germany.
| | - Goerigk Stephan
- Department of Psychiatry and Psychotherapy, University Hospital, Ludwig Maximilian University of Munich, Nussbaumstr.7, 80336, Munich, Germany
- Department of Psychological Methodology and Assesssment, Ludwig Maximilian University of Munich, Leopoldstr. 13, 80802, Munich, Germany
| | - Kim T Mueser
- Center for Psychiatric Rehabilitation, Boston University, 940 Commonwealth Avenue, West Boston, MA, 02215, USA
| | - Hautzinger Martin
- Department of Clinical Psychology and Psychotherapy, University of Tübingen, 72026, Tübingen, Germany
| | | | - Goldmann Ulrich
- Department of Psychology, Clinical Psychology and Psychotherapy, Ludwig Maximilian University of Munich, Leopoldstrasse 44, 80802, Munich, Germany
- Private Praxis, 80336, Munich, Germany
| | | | - Engel Rolf
- Department of Psychiatry and Psychotherapy, University Hospital, Ludwig Maximilian University of Munich, Nussbaumstr.7, 80336, Munich, Germany
| | - Möller Hans-Jürgen
- Department of Psychiatry and Psychotherapy, University Hospital, Ludwig Maximilian University of Munich, Nussbaumstr.7, 80336, Munich, Germany
| | - Falkai Peter
- Department of Psychiatry and Psychotherapy, University Hospital, Ludwig Maximilian University of Munich, Nussbaumstr.7, 80336, Munich, Germany
| |
Collapse
|
41
|
Abstract
Bipolar disorder is associated with significant dysfunction in a broad range of neuropsychological domains and processes. Deficits have been reported to occur in symptomatic states (depression, [hypo]mania) as well as in remission (euthymia), having consequences for psychological well-being and social and occupational functioning. The profile and magnitude of neuropsychological deficits in bipolar disorder have been explored in a number of systematic reviews and meta-analyses. After discussing these briefly, this chapter will focus on examining the clinical and demographic factors that influence and modify the pattern and magnitude of deficits, as well as reviewing methods of assessment and analysis approaches which may improve our understanding of these problems.
Collapse
Affiliation(s)
- Peter Gallagher
- Faculty of Medical Sciences, Newcastle University - Translational and Clinical Research Institute, Newcastle upon Tyne, UK.
| |
Collapse
|
42
|
NAMLI Z, TAMAM L, DEMİRKOL ME, ÇAKMAK S. Bipolar bozukluk ve şizofrenide anksiyete duyarlılığı. CUKUROVA MEDICAL JOURNAL 2020. [DOI: 10.17826/cumj.723876] [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] Open
|
43
|
Salazar de Pablo G, Guinart D, Cornblatt BA, Auther AM, Carrión RE, Carbon M, Jiménez-Fernández S, Vernal DL, Walitza S, Gerstenberg M, Saba R, Lo Cascio N, Brandizzi M, Arango C, Moreno C, Van Meter A, Correll CU. Demographic and Clinical Characteristics, Including Subsyndromal Symptoms Across Bipolar-Spectrum Disorders in Adolescents. J Child Adolesc Psychopharmacol 2020; 30:222-234. [PMID: 32083495 PMCID: PMC7232658 DOI: 10.1089/cap.2019.0138] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Objectives: Bipolar disorder (BD) is a debilitating illness that often starts at an early age. Prevention of first and subsequent mood episodes, which are usually preceded by a period characterized by subthreshold symptoms is important. We compared demographic and clinical characteristics including severity and duration of subsyndromal symptoms across adolescents with three different bipolar-spectrum disorders. Methods: Syndromal and subsyndromal psychopathology were assessed in adolescent inpatients (age = 12-18 years) with a clinical mood disorder diagnosis. Assessments included the validated Bipolar Prodrome Symptom Interview and Scale-Prospective (BPSS-P). We compared phenomenology across patients with a research consensus conference-confirmed DSM-IV (Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition) diagnoses of BD-I, BD-not otherwise specified (NOS), or mood disorder (MD) NOS. Results: Seventy-six adolescents (age = 15.6 ± 1.4 years, females = 59.2%) were included (BD-I = 24; BD-NOS = 29; MD-NOS = 23) in this study. Median baseline global assessment of functioning scale score was 21 (interquartile range = 17-40; between-group p = 0.31). Comorbidity was frequent, and similar across groups, including disruptive behavior disorders (55.5%, p = 0.27), anxiety disorders (40.8%, p = 0.98), and personality disorder traits (25.0%, p = 0.21). Mania symptoms (most frequent: irritability = 93.4%, p = 0.82) and depressive symptoms (most frequent: depressed mood = 81.6%, p = 0.14) were common in all three BD-spectrum groups. Manic and depressive symptoms were more severe in both BD-I and BD-NOS versus MD-NOS (p < 0.0001). Median duration of subthreshold manic symptoms was shorter in MD-NOS versus BD-NOS (11.7 vs. 20.4 weeks, p = 0.002) and substantial in both groups. The most used psychotropics upon discharge were antipsychotics (65.8%; BD-I = 79.2%; BD-NOS = 62.1%; MD-NOS = 56.5%, p = 0.227), followed by mood stabilizers (43.4%; BD-I = 66.7%; BD-NOS = 31.0%; MD-NOS = 34.8%, p = 0.02) and antidepressants (19.7%; BD-I = 20.8%; BD-NOS = 10.3%; MD-NOS = 30.4%). Conclusions: Youth with BD-I, BD-NOS, and MD-NOS experience considerable symptomatology and are functionally impaired, with few differences observed in psychiatric comorbidity and clinical severity. Moreover, youth with BD-NOS and MD-NOS undergo a period with subthreshold manic symptoms, enabling identification and, possibly, preventive intervention of those at risk for developing BD or other affective episodes requiring hospitalization.
Collapse
Affiliation(s)
- Gonzalo Salazar de Pablo
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom.,Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón School of Medicine, Universidad Complutense, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), CIBERSAM, Madrid, Spain
| | - Daniel Guinart
- Department of Psychiatry, Northwell Health, The Zucker Hillside Hospital, Glen Oaks, New York, USA
| | - Barbara A. Cornblatt
- Department of Psychiatry, Northwell Health, The Zucker Hillside Hospital, Glen Oaks, New York, USA.,Department of Psychiatry and Molecular Medicine, Hofstra Northwell School of Medicine, Hempstead, New York, USA.,Center for Psychiatric Neuroscience, The Feinstein Institutes for Medical Research, Manhasset, New York, USA
| | - Andrea M. Auther
- Department of Psychiatry, Northwell Health, The Zucker Hillside Hospital, Glen Oaks, New York, USA.,Department of Psychiatry and Molecular Medicine, Hofstra Northwell School of Medicine, Hempstead, New York, USA
| | - Ricardo E. Carrión
- Department of Psychiatry, Northwell Health, The Zucker Hillside Hospital, Glen Oaks, New York, USA.,Department of Psychiatry and Molecular Medicine, Hofstra Northwell School of Medicine, Hempstead, New York, USA.,Center for Psychiatric Neuroscience, The Feinstein Institutes for Medical Research, Manhasset, New York, USA
| | - Maren Carbon
- Department of Psychiatry, Northwell Health, The Zucker Hillside Hospital, Glen Oaks, New York, USA
| | - Sara Jiménez-Fernández
- Child and Adolescent Mental Health Unit, Jaén Medical Center, Jaén, Spain.,Department of Psychiatry, University of Granada, Granada, Spain
| | - Ditte L. Vernal
- Research Unit for Child- and Adolescent Psychiatry, Aalborg University Hospital, Aalborg, Denmark
| | - Susanne Walitza
- Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric University Hospital Zurich, Zurich, Switzerland
| | - Miriam Gerstenberg
- Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric University Hospital Zurich, Zurich, Switzerland
| | - Riccardo Saba
- Department of Mental Health, ASL Roma 6, Rome, Italy
| | - Nella Lo Cascio
- Prevention and Early Intervention Service, Department of Mental Health, ASL Roma 1, Rome, Italy
| | - Martina Brandizzi
- Department of Mental Health, Local Health Agency Rome 1, Inpatient Psychiatric Unit, Santo Spirito in Sassia Hospital, Rome, Italy
| | - Celso Arango
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón School of Medicine, Universidad Complutense, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), CIBERSAM, Madrid, Spain
| | - Carmen Moreno
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón School of Medicine, Universidad Complutense, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), CIBERSAM, Madrid, Spain
| | - Anna Van Meter
- Department of Psychiatry, Northwell Health, The Zucker Hillside Hospital, Glen Oaks, New York, USA.,Department of Psychiatry and Molecular Medicine, Hofstra Northwell School of Medicine, Hempstead, New York, USA.,Center for Psychiatric Neuroscience, The Feinstein Institutes for Medical Research, Manhasset, New York, USA
| | - Christoph U. Correll
- Department of Psychiatry, Northwell Health, The Zucker Hillside Hospital, Glen Oaks, New York, USA.,Department of Psychiatry and Molecular Medicine, Hofstra Northwell School of Medicine, Hempstead, New York, USA.,Center for Psychiatric Neuroscience, The Feinstein Institutes for Medical Research, Manhasset, New York, USA.,Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin, Berlin, Germany.,Address correspondence to: Christoph U. Correll, MD, Department of Psychiatry, Northwell Health, The Zucker Hillside Hospital, 75-59 263rd Street, Glen Oaks, NY 11004, USA
| |
Collapse
|
44
|
Karantonis JA, Rossell SL, Carruthers SP, Sumner P, Hughes M, Green MJ, Pantelis C, Burdick KE, Cropley V, Van Rheenen TE. Cognitive validation of cross-diagnostic cognitive subgroups on the schizophrenia-bipolar spectrum. J Affect Disord 2020; 266:710-721. [PMID: 32056949 DOI: 10.1016/j.jad.2020.01.123] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2019] [Revised: 12/03/2019] [Accepted: 01/20/2020] [Indexed: 12/14/2022]
Abstract
BACKGROUND Cognitive heterogeneity in schizophrenia spectrum disorders (SSD) and bipolar disorder (BD) has been explored using clustering analyses. However, the resulting subgroups have not been cognitively validated beyond measures used as clustering variables themselves. We compared the emergent cross-diagnostic subgroups of SSD and BD patients on measures used to classify them, and also across a range of alternative cognitive measures assessing some of the same constructs. METHOD Domain scores from the Matrics Consensus Cognitive Battery were used in a cross-diagnostic clustering analysis of 86 patients with SSD (n = 45) and BD (n = 41). The emergent subgroups were then compared to each other and healthy controls (n = 76) on these and alternative measures of these domains, as well as on premorbid IQ, global cognition and a proxy of cognitive decline. RESULTS A three-cluster solution was most appropriate, with subgroups labelled as Globally Impaired, Selectively Impaired, and Superior/Near-Normal relative to controls. With the exception of processing speed performance, the subgroups were generally differentiated on the cognitive domain scores used as clustering variables. Differences in cognitive performance among these subgroups were not always statistically significant when compared on the alternative cognitive measures. There was evidence of global cognitive impairment and putative cognitive decline in the two cognitively impaired subgroups. LIMITATIONS For clustering analysis, sample size was relatively small. CONCLUSIONS The overall pattern of findings tentatively suggest that emergent cross-diagnostic cognitive subgroups are not artefacts of the measures used to define them, but may represent the outcome of different cognitive trajectories.
Collapse
Affiliation(s)
- James A Karantonis
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Melbourne, Australia; Centre for Mental Health, Faculty of Health, Arts and Design, School of Health Sciences, Swinburne University, Melbourne, Australia
| | - Susan L Rossell
- Centre for Mental Health, Faculty of Health, Arts and Design, School of Health Sciences, Swinburne University, Melbourne, Australia; St Vincent's Mental Health, St Vincent's Hospital, VIC, Australia
| | - Sean P Carruthers
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Melbourne, Australia; Centre for Mental Health, Faculty of Health, Arts and Design, School of Health Sciences, Swinburne University, Melbourne, Australia
| | - Philip Sumner
- Centre for Mental Health, Faculty of Health, Arts and Design, School of Health Sciences, Swinburne University, Melbourne, Australia
| | - Matthew Hughes
- Centre for Mental Health, Faculty of Health, Arts and Design, School of Health Sciences, Swinburne University, Melbourne, Australia
| | - Melissa J Green
- School of Psychiatry, University of New South Wales (UNSW), Sydney, NSW, Australia; Neuroscience Research Australia, Randwick, NSW, Australia
| | - Christos Pantelis
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Melbourne, Australia; Florey Institute of Neuroscience and Mental Health, Melbourne, Australia; Department of Electrical and Electronic Engineering, University of Melbourne, VIC, Australia; Centre for Neuropsychiatric Schizophrenia Research (CNSR) and Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS), Mental Health Centre Glostrup, Glostrup, Denmark
| | - Katherine E Burdick
- Harvard Medical School, Department of Psychiatry, Boston, MA, United States; Brigham and Women's Hospital, Boston, MA, United States
| | - Vanessa Cropley
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Melbourne, Australia; Centre for Mental Health, Faculty of Health, Arts and Design, School of Health Sciences, Swinburne University, Melbourne, Australia
| | - Tamsyn E Van Rheenen
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Melbourne, Australia; Centre for Mental Health, Faculty of Health, Arts and Design, School of Health Sciences, Swinburne University, Melbourne, Australia.
| |
Collapse
|
45
|
Fett AKJ, Velthorst E, Reichenberg A, Ruggero CJ, Callahan JL, Fochtmann LJ, Carlson GA, Perlman G, Bromet EJ, Kotov R. Long-term Changes in Cognitive Functioning in Individuals With Psychotic Disorders: Findings From the Suffolk County Mental Health Project. JAMA Psychiatry 2020; 77:387-396. [PMID: 31825511 PMCID: PMC6990826 DOI: 10.1001/jamapsychiatry.2019.3993] [Citation(s) in RCA: 103] [Impact Index Per Article: 20.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
IMPORTANCE It remains uncertain whether people with psychotic disorders experience progressive cognitive decline or normal cognitive aging after first hospitalization. This information is essential for prognostication in clinical settings, deployment of cognitive remediation, and public health policy. OBJECTIVE To examine long-term cognitive changes in individuals with psychotic disorders and to compare age-related differences in cognitive performance between people with psychotic disorders and matched control individuals (ie, individuals who had never had psychotic disorders). DESIGN, SETTING, AND PARTICIPANTS The Suffolk County Mental Health Project is an inception cohort study of first-admission patients with psychosis. Cognitive functioning was assessed 2 and 20 years later. Patients were recruited from the 12 inpatient facilities of Suffolk County, New York. At year 20, the control group was recruited by random digit dialing and matched to the clinical cohort on zip code and demographics. Data were collected between September 1991 and July 2015. Analysis began January 2016. MAIN OUTCOMES AND MEASURES Change in cognitive functioning in 6 domains: verbal knowledge (Wechsler Adult Intelligence Scale-Revised vocabulary test), verbal declarative memory (Verbal Paired Associates test I and II), visual declarative memory (Visual Reproduction test I and II), attention and processing speed (Symbol Digit Modalities Test-written and oral; Trail Making Test [TMT]-A), abstraction-executive function (Trenerry Stroop Color Word Test; TMT-B), and verbal fluency (Controlled Oral Word Association Test). RESULTS A total of 705 participants were included in the analyses (mean [SD] age at year 20, 49.4 [10.1] years): 445 individuals (63.1%) had psychotic disorders (211 with schizophrenia spectrum [138 (65%) male]; 164 with affective psychoses [76 (46%) male]; 70 with other psychoses [43 (61%) male]); and 260 individuals (36.9%) in the control group (50.5 [9.0] years; 134 [51.5%] male). Cognition in individuals with a psychotic disorder declined on all but 2 tests (average decline: d = 0.31; range, 0.17-0.54; all P < .001). Cognitive declines were associated with worsening vocational functioning (Visual Reproduction test II: r = 0.20; Symbol Digit Modalities Test-written: r = 0.25; Stroop: r = 0.24; P < .009) and worsening negative symptoms (avolition: Symbol Digit Modalities Test-written: r = -0.24; TMT-A: r = -0.21; Stroop: r = -0.21; all P < .009; inexpressivity: Stroop: r = -0.22; P < .009). Compared with control individuals, people with psychotic disrders showed age-dependent deficits in verbal knowledge, fluency, and abstraction-executive function (vocabulary: β = -0.32; Controlled Oral Word Association Test: β = -0.32; TMT-B: β = 0.23; all P < .05), with the largest gap among participants 50 years or older. CONCLUSIONS AND RELEVANCE In individuals with psychotic disorders, most cognitive functions declined over 2 decades after first hospitalization. Observed declines were clinically significant. Some declines were larger than expected due to normal aging, suggesting that cognitive aging in some domains may be accelerated in this population. If confirmed, these findings would highlight cognition as an important target for research and treatment during later phases of psychotic illness.
Collapse
Affiliation(s)
- Anne-Kathrin J. Fett
- Department of Psychology, City, University of London, London, United Kingdom,Institute of Psychiatry, Psychology and Neuroscience, Department of Psychosis Studies, King’s College London, London, United Kingdom,Department of Clinical and Developmental Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Eva Velthorst
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York,Seaver Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Abraham Reichenberg
- Institute of Psychiatry, Psychology and Neuroscience, Department of Psychosis Studies, King’s College London, London, United Kingdom,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York,Seaver Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, New York
| | | | | | | | | | - Greg Perlman
- Department of Psychiatry, Stony Brook University, Stony Brook, New York
| | - Evelyn J. Bromet
- Department of Psychiatry, Stony Brook University, Stony Brook, New York
| | - Roman Kotov
- Department of Psychiatry, Stony Brook University, Stony Brook, New York
| |
Collapse
|
46
|
Neurocognitive impairment and evidence-based treatment options in Bipolar disorder. Ann Gen Psychiatry 2020; 19:54. [PMID: 32983247 PMCID: PMC7513501 DOI: 10.1186/s12991-020-00304-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2020] [Accepted: 09/17/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND The current paper briefly summarizes the literature on the neurocognitive deficit and its treatment in BD patients. METHODS The material was chosen on the basis of previous systematic reviews the author has taken part in. RESULTS The data so far suggest that the deficit is qualitatively similar but quantitatively milder in comparison to schizophrenia, it is present already since the first episode, is weakly related to mood symptoms and somewhat stronger to psychotic symptoms, it probably determines much of the disability and treatment is problematic. This deficit is also present during periods of euthymia. The possible adverse effect of psychotropic medication is rather small if any at all and is confounded by the specific clinical symptoms, for which medication is used for their treatment. This is especially true concerning antipsychotics and psychotic symptoms. The origin and the etiopathogenesis of the core neurocognitive impairment remain elusive. The presence of a neurodegenerative and of a neurodevelopmental component has both data in favor and against and they are both the focus of debate. CONCLUSIONS Treatment of the neurocognitive deficit and restoration of functioning is problematic. The data are limited and treatment options are few and with a weak overall effect. Pharmacological treatments, ECT and rTMS present some hard data, while the literature is inconclusive concerning psychotherapeutic interventions.
Collapse
|
47
|
van Bergen AH, Verkooijen S, Vreeker A, Abramovic L, Hillegers MH, Spijker AT, Hoencamp E, Regeer EJ, Knapen SE, Riemersma-van der Lek RF, Schoevers R, Stevens AW, Schulte PFJ, Vonk R, Hoekstra R, van Beveren NJ, Kupka RW, Sommer IEC, Ophoff RA, Kahn RS, Boks MPM. The characteristics of psychotic features in bipolar disorder. Psychol Med 2019; 49:2036-2048. [PMID: 30303059 DOI: 10.1017/s0033291718002854] [Citation(s) in RCA: 43] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
BACKGROUND In a large and comprehensively assessed sample of patients with bipolar disorder type I (BDI), we investigated the prevalence of psychotic features and their relationship with life course, demographic, clinical, and cognitive characteristics. We hypothesized that groups of psychotic symptoms (Schneiderian, mood incongruent, thought disorder, delusions, and hallucinations) have distinct relations to risk factors. METHODS In a cross-sectional study of 1342 BDI patients, comprehensive demographical and clinical characteristics were assessed using the Structured Clinical Interview for DSM-IV (SCID-I) interview. In addition, levels of childhood maltreatment and intelligence quotient (IQ) were assessed. The relationships between these characteristics and psychotic symptoms were analyzed using multiple general linear models. RESULTS A lifetime history of psychotic symptoms was present in 73.8% of BDI patients and included delusions in 68.9% of patients and hallucinations in 42.6%. Patients with psychotic symptoms showed a significant younger age of disease onset (β = -0.09, t = -3.38, p = 0.001) and a higher number of hospitalizations for manic episodes (F11 338 = 56.53, p < 0.001). Total IQ was comparable between groups. Patients with hallucinations had significant higher levels of childhood maltreatment (β = 0.09, t = 3.04, p = 0.002). CONCLUSIONS In this large cohort of BDI patients, the vast majority of patients had experienced psychotic symptoms. Psychotic symptoms in BDI were associated with an earlier disease onset and more frequent hospitalizations particularly for manic episodes. The study emphasizes the strength of the relation between childhood maltreatment and hallucinations but did not identify distinct subgroups based on psychotic features and instead reported of a large heterogeneity of psychotic symptoms in BD.
Collapse
Affiliation(s)
- Annet H van Bergen
- Department of Psychiatry, University Medical Center Utrecht, Brain Center Rudolf Magnus, Utrecht, The Netherlands
- Department of Psychiatry, Rode Kruis Ziekenhuis, Beverwijk, The Netherlands
| | - Sanne Verkooijen
- Department of Psychiatry, University Medical Center Utrecht, Brain Center Rudolf Magnus, Utrecht, The Netherlands
| | - Annabel Vreeker
- Department of Psychiatry, University Medical Center Utrecht, Brain Center Rudolf Magnus, Utrecht, The Netherlands
| | - Lucija Abramovic
- Department of Psychiatry, University Medical Center Utrecht, Brain Center Rudolf Magnus, Utrecht, The Netherlands
| | - Manon H Hillegers
- Department of Psychiatry, University Medical Center Utrecht, Brain Center Rudolf Magnus, Utrecht, The Netherlands
- Department of Psychiatry, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Annet T Spijker
- Department of Mood Disorders, PsyQ, The Hague and Rotterdam, The Netherlands
| | - Erik Hoencamp
- Parnassie Group, The Hague, The Netherlands
- Insitute of Psychology Leiden University, Leiden, The Netherlands
| | - Eline J Regeer
- Altrecht Institute for Mental Health Care, Utrecht, The Netherlands
| | - Stefan E Knapen
- Department of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Rixt F Riemersma-van der Lek
- Department of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Robert Schoevers
- Department of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Anja W Stevens
- Dimence Center for Bipolar Disorders, Almelo, The Netherlands
| | - Peter F J Schulte
- Mental Health Service, Noord Holland Noord, Alkmaar, The Netherlands
| | - Ronald Vonk
- Reinier van Arkel, 's-Hertogenbosch, The Netherlands
| | - Rocco Hoekstra
- Antes, Delta Center for Mental Health Care, Rotterdam, The Netherlands
| | | | - Ralph W Kupka
- Altrecht Institute for Mental Health Care, Utrecht, The Netherlands
- Department of Psychiatry, VU University Medical Center, Amsterdam, The Netherlands
| | - Iris E C Sommer
- Department of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Roel A Ophoff
- Department of Psychiatry, University Medical Center Utrecht, Brain Center Rudolf Magnus, Utrecht, The Netherlands
- Semel Institute For Neuroscience and Human Behavior, University of California, Los Angeles, USA
| | - René S Kahn
- Department of Psychiatry, University Medical Center Utrecht, Brain Center Rudolf Magnus, Utrecht, The Netherlands
- Department of Psychiatry, Mount Sinai School of Medicine, New York, USA
| | - Marco P M Boks
- Department of Psychiatry, University Medical Center Utrecht, Brain Center Rudolf Magnus, Utrecht, The Netherlands
| |
Collapse
|
48
|
Delvecchio G, Caletti E, Perlini C, Siri FM, Andreella A, Finos L, Bellani M, Fabbro F, Lasalvia A, Bonetto C, Cristofalo D, Scocco P, D'Agostino A, Torresani S, Imbesi M, Bellini F, Veronese A, Bressi C, Ruggeri M, Brambilla P. Altered syntactic abilities in first episode patients: An inner phenomenon characterizing psychosis. Eur Psychiatry 2019; 61:119-126. [PMID: 31442739 DOI: 10.1016/j.eurpsy.2019.08.001] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2019] [Revised: 08/01/2019] [Accepted: 08/02/2019] [Indexed: 01/14/2023] Open
Abstract
BACKGROUND Research has consistently shown that language abilities represent a core dimension of psychosis; however, to date, very little is known about syntactic comprehension performance in the early stages of psychosis. This study aims to compare the linguistic abilities involved in syntactic comprehension in a large group of First Episode Psychosis (FEP) patients and healthy controls (HCs). METHODS A multiple choice test of comprehension of syntax was administered to 218 FEP patients (166 non-affective FEP patients [FEP-NA] and 52 affective FEP patients [FEP-A]) and 106 HCs. All participants were asked to match a sentence they listen with one out of four vignettes on a pc screen. Only one vignette represents the stimulus target, while the others are grammatical or non-grammatical (visual) distractors. Both grammatical and non-grammatical errors and performance in different syntactic constructions were considered. RESULTS FEP committed greater number of errors in the majority of TCGB language domains compared to HCs. Moreover, FEP-NA patients committed significantly more non-grammatical (z = -3.2, p = 0.007), locative (z = -4.7, p < 0.001), passive-negative (z = -3.2, p = 0.02), and relative (z = -4.6, p < 0.001) errors compared to HCs as well as more passive-affirmative errors compared to both HCs (z = -4.3, p < 0.001) and FEP-A (z = 3.1, p = 0.04). Finally, we also found that both FEP-NA and FEP-A committed more grammatical (FEP-NA: z = -9.2, p < 0.001 and FEP-A: z = -4.4, p < 0.001), total (FEP-NA: z = -8.2, p < 0.001 and FEP-A: z = 3.9, p = 0.002), and active-negative (FEP-NA: z = -5.8, p < 0.001 and FEP-A: z = -3.5, p = 0.01) errors compared to HCs. CONCLUSIONS This study shows that the access to syntactic structures is already impaired in FEP patients, especially in those with FEP-NA, ultimately suggesting that language impairments represent a core and inner feature of psychosis even at early stages.
Collapse
Affiliation(s)
- Giuseppe Delvecchio
- University of Milan, Department of Pathophysiology and Transplantation, Milan, Italy
| | - Elisabetta Caletti
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Department of Neurosciences and Mental Health, Milan, Italy
| | - Cinzia Perlini
- Department of Neurosciences, Biomedicine and Movement Sciences, Section of Clinical Psychology, University of Verona, Italy
| | - Francesca Marzia Siri
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Department of Neurosciences and Mental Health, Milan, Italy
| | | | - Livio Finos
- Department of Developmental Psychology and Socialization, University of Padua, Italy
| | - Marcella Bellani
- UOC of Psychiatry, Azienda Ospedaliera Universitaria Integrata (AOUI) of Verona, Italy
| | - Franco Fabbro
- Department of Medicine, University of Udine, Udine, Italy
| | - Antonio Lasalvia
- Department of Neurosciences, Biomedicine and Movement Sciences, Section of Clinical Psychology, University of Verona, Italy; UOC of Psychiatry, Azienda Ospedaliera Universitaria Integrata (AOUI) of Verona, Italy
| | - Chiara Bonetto
- Department of Neurosciences, Biomedicine and Movement Sciences, Section of Clinical Psychology, University of Verona, Italy
| | - Doriana Cristofalo
- Department of Neurosciences, Biomedicine and Movement Sciences, Section of Clinical Psychology, University of Verona, Italy
| | - Paolo Scocco
- Department of Mental Health, AULSS 6 Euganea, Padua, Italy
| | - Armando D'Agostino
- Department of Health Sciences, San Paolo University Hospital, University of Milan, Milan, Italy
| | | | | | | | | | - Cinzia Bressi
- University of Milan, Department of Pathophysiology and Transplantation, Milan, Italy; Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Department of Neurosciences and Mental Health, Milan, Italy
| | - Mirella Ruggeri
- Department of Neurosciences, Biomedicine and Movement Sciences, Section of Clinical Psychology, University of Verona, Italy; UOC of Psychiatry, Azienda Ospedaliera Universitaria Integrata (AOUI) of Verona, Italy
| | - Paolo Brambilla
- University of Milan, Department of Pathophysiology and Transplantation, Milan, Italy; Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Department of Neurosciences and Mental Health, Milan, Italy.
| | | |
Collapse
|
49
|
Ferraro L, Murray RM, Di Forti M, Quattrone D, Tripoli G, Sideli L, La Barbera D, La Cascia C. IQ differences between patients with first episode psychosis in London and Palermo reflect differences in patterns of cannabis use. Schizophr Res 2019; 210:81-88. [PMID: 31272907 DOI: 10.1016/j.schres.2019.06.004] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2018] [Revised: 05/20/2019] [Accepted: 06/10/2019] [Indexed: 11/15/2022]
Abstract
AIMS Cognitive impairment is a possible indicator of neurodevelopmental impairment, but not all psychotic patients are cognitively compromised. It has been suggested that heavy cannabis use may precipitate psychosis in those who show no such compromise. This study compares two samples of patients with first-episode psychosis and their respective non-psychotic controls, in London (UK) and Palermo (Italy), and examines whether different patterns of cannabis use are reflected in differences in IQ. METHODS The two studies used the same inclusion/exclusion criteria and instruments. The sample comprised 249 subjects from London (106 patients and 143 controls) and 247 subjects from Palermo (120 patients and 127 controls). ANCOVA was performed with IQ as the dependent variable and city and frequency of cannabis use as predictors. This was then repeated with the case group only, by adjusting for relevant confounders. RESULTS We found a greater amount of cannabis use in the London sample, compared to Palermo and patients from London had higher IQ than patients from Palermo, a difference that was more significant than that reflected between controls (Fgroup*city(1, 402) = 7.6, p = 0.006). Once corrected for symptomatology and treatment, patients from London who had never used cannabis were similar to patients from Palermo regarding IQ. Thus the higher IQ of patients from London was mainly due to the subgroup of cannabis-using patients (Fcannabis*city(2,145) = 4.6, p = 0.011). CONCLUSIONS We can speculate that a greater amount of cannabis-use may have contributed by precipitating psychosis in patients with a higher IQ in London but less so in patients from Palermo.
Collapse
Affiliation(s)
- Laura Ferraro
- Department of Biomedicine, Neuroscience and advanced Diagnostics (BiND), Psychiatry Section, University of Palermo. Via Gaetano La Loggia, 1, 90129, Palermo, Italy; Department of Psychosis Studies, Institute of Psychiatry, King's College London, De Crespigny Park, Denmark Hill, London SE5 8AF, UK.
| | - Robin M Murray
- Department of Biomedicine, Neuroscience and advanced Diagnostics (BiND), Psychiatry Section, University of Palermo. Via Gaetano La Loggia, 1, 90129, Palermo, Italy; Department of Psychosis Studies, Institute of Psychiatry, King's College London, De Crespigny Park, Denmark Hill, London SE5 8AF, UK; South London and Maudsley NHS Mental Health Foundation Trust, UK.
| | - Marta Di Forti
- Department of Biomedicine, Neuroscience and advanced Diagnostics (BiND), Psychiatry Section, University of Palermo. Via Gaetano La Loggia, 1, 90129, Palermo, Italy; South London and Maudsley NHS Mental Health Foundation Trust, UK; Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 8AF, UK; National Institute for Health Research (NIHR), Mental Health Biomedical Research Centre, South London and Maudsley NHS Foundation Trust and King's College London, UK.
| | - Diego Quattrone
- South London and Maudsley NHS Mental Health Foundation Trust, UK; Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 8AF, UK; National Institute for Health Research (NIHR), Mental Health Biomedical Research Centre, South London and Maudsley NHS Foundation Trust and King's College London, UK.
| | - Giada Tripoli
- Department of Biomedicine, Neuroscience and advanced Diagnostics (BiND), Psychiatry Section, University of Palermo. Via Gaetano La Loggia, 1, 90129, Palermo, Italy; Department of Psychosis Studies, Institute of Psychiatry, King's College London, De Crespigny Park, Denmark Hill, London SE5 8AF, UK.
| | - Lucia Sideli
- Department of Biomedicine, Neuroscience and advanced Diagnostics (BiND), Psychiatry Section, University of Palermo. Via Gaetano La Loggia, 1, 90129, Palermo, Italy; Department of Psychosis Studies, Institute of Psychiatry, King's College London, De Crespigny Park, Denmark Hill, London SE5 8AF, UK.
| | - Daniele La Barbera
- Department of Biomedicine, Neuroscience and advanced Diagnostics (BiND), Psychiatry Section, University of Palermo. Via Gaetano La Loggia, 1, 90129, Palermo, Italy.
| | - Caterina La Cascia
- Department of Biomedicine, Neuroscience and advanced Diagnostics (BiND), Psychiatry Section, University of Palermo. Via Gaetano La Loggia, 1, 90129, Palermo, Italy.
| |
Collapse
|
50
|
Sorella S, Lapomarda G, Messina I, Frederickson JJ, Siugzdaite R, Job R, Grecucci A. Testing the expanded continuum hypothesis of schizophrenia and bipolar disorder. Neural and psychological evidence for shared and distinct mechanisms. Neuroimage Clin 2019; 23:101854. [PMID: 31121524 PMCID: PMC6529770 DOI: 10.1016/j.nicl.2019.101854] [Citation(s) in RCA: 42] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2019] [Revised: 04/24/2019] [Accepted: 05/02/2019] [Indexed: 12/21/2022]
Abstract
Despite the traditional view of Schizophrenia (SZ) and Bipolar disorder (BD) as separate diagnostic categories, the validity of such a categorical approach is challenging. In recent years, the hypothesis of a continuum between Schizophrenia (SZ) and Bipolar disorder (BD), postulating a common pathophysiologic mechanism, has been proposed. Although appealing, this unifying hypothesis may be too simplistic when looking at cognitive and affective differences these patients display. In this paper, we aim to test an expanded version of the continuum hypothesis according to which the continuum extends over three clusters: the psychotic, the cognitive, and the affective. We applied an innovative approach known as Source-based Morphometry (SBM) to the structural images of 46 individuals diagnosed with SZ, 46 with BD and 66 healthy controls (HC). We also analyzed the psychological profiles of the three groups using cognitive, affective, and clinical tests. At a neural level, we found evidence for a shared psychotic core in a distributed network involving portions of the medial parietal and temporo-occipital areas, as well as parts of the cerebellum and the middle frontal gyrus. We also found evidence of a cognitive core more compromised in SZ, including alterations in a fronto-parietal circuit, and mild evidence of an affective core more compromised in BD, including portions of the temporal and occipital lobes, cerebellum, and frontal gyrus. Such differences were confirmed by the psychological profiles, with SZ patients more impaired in cognitive tests, while BD in affective ones. On the bases of these results we put forward an expanded view of the continuum hypothesis, according to which a common psychotic core exists between SZ and BD patients complemented by two separate cognitive and affective cores that are both impaired in the two patients' groups, although to different degrees.
Collapse
Affiliation(s)
- Sara Sorella
- Department of Psychology and Cognitive Science (DiPSCo), University of Trento, Rovereto, Italy.
| | - Gaia Lapomarda
- Department of Psychology and Cognitive Science (DiPSCo), University of Trento, Rovereto, Italy.
| | | | | | - Roma Siugzdaite
- Department of Experimental Psychology, Faculty of Psychological and Pedagogical Sciences, Ghent University, Ghent, Belgium.
| | - Remo Job
- Department of Psychology and Cognitive Science (DiPSCo), University of Trento, Rovereto, Italy.
| | - Alessandro Grecucci
- Department of Psychology and Cognitive Science (DiPSCo), University of Trento, Rovereto, Italy.
| |
Collapse
|