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Montejo L, Sole B, Fico G, Kalman JL, Budde M, Heilbronner U, Oliva V, De Prisco M, Martin-Parra S, Ruiz A, Martinez-Aran A, Adorjan K, Falkai P, Heilbronner M, Kohshour MO, Reich-Erkelenz D, Schaupp SK, Schulte EC, Senner F, Vogl T, Anghelescu IG, Arolt V, Baune BT, Dannlowski U, Dietrich DE, Fallgatter AJ, Figge C, Juckel G, Konrad C, Reimer J, Reininghaus EZ, Schmauß M, Wiltfang J, Zimmermann J, Vieta E, Papiol S, Schulze TG, Torrent C. Contrasting genetic burden for bipolar disorder: Early onset versus late onset in an older adult bipolar disorder sample. Eur Neuropsychopharmacol 2025; 92:29-37. [PMID: 39718074 DOI: 10.1016/j.euroneuro.2024.12.001] [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: 10/07/2024] [Revised: 11/27/2024] [Accepted: 12/01/2024] [Indexed: 12/25/2024]
Abstract
Older Adults with Bipolar Disorder (OABD) represent a heterogeneous group, including those with early and late onset of the disorder. Recent evidence shows both groups have distinct clinical, cognitive, and medical features, tied to different neurobiological profiles. This study explored the link between polygenic risk scores (PRS) for bipolar disorder (PRS-BD), schizophrenia (PRS-SCZ), and major depressive disorder (PRS-MDD) with age of onset in OABD. PRS-SCZ, PRS-BD, and PRS-MDD among early vs late onset were calculated. PRS was used to infer posterior SNP effect sizes using a fully Bayesian approach. Demographic, clinical, and cognitive variables were also analyzed. Logistic regression analysis was used to estimate the amount of variation of each group explained by standardized PRS-SCZ, PRS-MDD, and PRS-BD. A total of 207 OABD subjects were included (144 EOBD; 63 LOBD). EOBD showed higher PRS-BD compared to LOBD (p = 0.005), while no association was found between age of onset and PRS-SCZ or PRS-MDD. Compared to LOBD, EOBD individuals also showed a higher likelihood for suicide attempts (p = 0.01), higher presence of psychotic symptoms (p = 0.003), higher prevalence of BD-I (p = 0.002), higher rates of familiarity for any psychiatric disorder (p = 0.004), and lower processing speed measured with Trail-Making Test part A (p = 0.03). OABD subjects with an early onset showed a greater genetic burden for BD compared to subjects with a late onset. These findings contribute to the notion that EOBD and LOBD may represent different forms of OABD, particularly regarding the genetic predisposition to BD.
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Affiliation(s)
- Laura Montejo
- Bipolar and Depressive Disorders Unit, Hospital Clinic de Barcelona, Barcelona, Spain; Fundació Clínic per la Recerca Biomèdica-Institut d'Investigacions Biomèdiques August Pi i Sunyer (FCRB-IDIBAPS), Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
| | - Brisa Sole
- Bipolar and Depressive Disorders Unit, Hospital Clinic de Barcelona, Barcelona, Spain; Fundació Clínic per la Recerca Biomèdica-Institut d'Investigacions Biomèdiques August Pi i Sunyer (FCRB-IDIBAPS), Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
| | - Giovanna Fico
- Bipolar and Depressive Disorders Unit, Hospital Clinic de Barcelona, Barcelona, Spain; Fundació Clínic per la Recerca Biomèdica-Institut d'Investigacions Biomèdiques August Pi i Sunyer (FCRB-IDIBAPS), Barcelona, Spain
| | - Janos L Kalman
- Institute of Psychiatric Phenomics and Genomics (IPPG), LMU University Hospital, LMU Munich, Munich, Germany; University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Monika Budde
- Institute of Psychiatric Phenomics and Genomics (IPPG), LMU University Hospital, LMU Munich, Munich, Germany
| | - Urs Heilbronner
- Institute of Psychiatric Phenomics and Genomics (IPPG), LMU University Hospital, LMU Munich, Munich, Germany
| | - Vincenzo Oliva
- Bipolar and Depressive Disorders Unit, Hospital Clinic de Barcelona, Barcelona, Spain; Fundació Clínic per la Recerca Biomèdica-Institut d'Investigacions Biomèdiques August Pi i Sunyer (FCRB-IDIBAPS), Barcelona, Spain; Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Institut de Neurociencies (UBNeuro), Universitat de Barcelona (UB), Barcelona, Spain
| | - Michele De Prisco
- Bipolar and Depressive Disorders Unit, Hospital Clinic de Barcelona, Barcelona, Spain; Fundació Clínic per la Recerca Biomèdica-Institut d'Investigacions Biomèdiques August Pi i Sunyer (FCRB-IDIBAPS), Barcelona, Spain
| | - Sara Martin-Parra
- Bipolar and Depressive Disorders Unit, Hospital Clinic de Barcelona, Barcelona, Spain; Fundació Clínic per la Recerca Biomèdica-Institut d'Investigacions Biomèdiques August Pi i Sunyer (FCRB-IDIBAPS), Barcelona, Spain
| | - Andrea Ruiz
- Bipolar and Depressive Disorders Unit, Hospital Clinic de Barcelona, Barcelona, Spain; Fundació Clínic per la Recerca Biomèdica-Institut d'Investigacions Biomèdiques August Pi i Sunyer (FCRB-IDIBAPS), Barcelona, Spain
| | - Anabel Martinez-Aran
- Bipolar and Depressive Disorders Unit, Hospital Clinic de Barcelona, Barcelona, Spain; Fundació Clínic per la Recerca Biomèdica-Institut d'Investigacions Biomèdiques August Pi i Sunyer (FCRB-IDIBAPS), Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Institut de Neurociencies (UBNeuro), Universitat de Barcelona (UB), Barcelona, Spain
| | - Kristina Adorjan
- Institute of Psychiatric Phenomics and Genomics (IPPG), LMU University Hospital, LMU Munich, Munich, Germany; University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Peter Falkai
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany; Max Planck Institute of Psychiatry, Munich, Germany; DZPG (German Center for Mental Health), partner site Munich/Augsburg
| | - Maria Heilbronner
- Institute of Psychiatric Phenomics and Genomics (IPPG), LMU University Hospital, LMU Munich, Munich, Germany
| | - Mojtaba Oraki Kohshour
- Institute of Psychiatric Phenomics and Genomics (IPPG), LMU University Hospital, LMU Munich, Munich, Germany; Department of Immunology, Faculty of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Daniela Reich-Erkelenz
- Institute of Psychiatric Phenomics and Genomics (IPPG), LMU University Hospital, LMU Munich, Munich, Germany; Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Sabrina K Schaupp
- Institute of Psychiatric Phenomics and Genomics (IPPG), LMU University Hospital, LMU Munich, Munich, Germany
| | - Eva C Schulte
- Institute of Psychiatric Phenomics and Genomics (IPPG), LMU University Hospital, LMU Munich, Munich, Germany; Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany; DZPG (German Center for Mental Health), partner site Munich/Augsburg; Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital Bonn, University of Bonn, Bonn, Germany; Institute of Human Genetics, University Hospital, Faculty of Medicine, University of Bonn, Bonn, Germany
| | - Fanny Senner
- Institute of Psychiatric Phenomics and Genomics (IPPG), LMU University Hospital, LMU Munich, Munich, Germany; Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany; Centres for Psychiatry Suedwuerttemberg, Ravensburg, Germany
| | - Thomas Vogl
- Institute of Psychiatric Phenomics and Genomics (IPPG), LMU University Hospital, LMU Munich, Munich, Germany
| | - Ion-George Anghelescu
- Department of Psychiatry and Psychotherapy, Mental Health Institute Berlin, Berlin, Germany
| | - Volker Arolt
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Bernhard T Baune
- Department of Psychiatry, Melbourne Medical School, The University of Melbourne, Melbourne, Australia; The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, VIC, Australia; Department of Psychiatry, University of Münster, Münster, Germany
| | - Udo Dannlowski
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Detlef E Dietrich
- AMEOS Clinical Center Hildesheim, Hildesheim, Germany; Center for Systems Neuroscience (ZSN), Hannover, Germany; Department of Psychiatry, Medical School of Hannover, Hannover, Germany
| | - Andreas J Fallgatter
- Department of Psychiatry and Psychotherapy, Tübingen Center for Mental Health (TüCMH), University of Tübingen, Tübingen, Germany; German Center for Mental Health (DZPG), Partner Site Tübingen, Tübingen, Germany
| | - Christian Figge
- Karl-Jaspers Clinic, European Medical School Oldenburg-Groningen, Oldenburg, Germany
| | - Georg Juckel
- Department of Psychiatry, Ruhr University Bochum, LWL University Hospital, Bochum, Germany
| | - Carsten Konrad
- Department of Psychiatry and Psychotherapy, Agaplesion Diakonieklinikum, Rotenburg, Germany
| | - Jens Reimer
- Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Center for Psychosocial Medicine, Academic Teaching Hospital Itzehoe, Itzehoe, Germany
| | - Eva Z Reininghaus
- Division of Psychiatry and Psychotherapeutic Medicine, Research Unit for Bipolar Affective Disorder, Medical University of Graz, Graz, Austria
| | - Max Schmauß
- Clinic for Psychiatry, Psychotherapy and Psychosomatics, Augsburg University, Medical Faculty, Bezirkskrankenhaus Augsburg, Augsburg, Germany
| | - Jens Wiltfang
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany; German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany; Neurosciences and Signaling Group, Institute of Biomedicine (iBiMED), Department of Medical Sciences, University of Aveiro, Aveiro, Portuga
| | - Jörg Zimmermann
- Psychiatrieverbund Oldenburger Land gGmbH, Karl-Jaspers-Klinik, Bad Zwischenahn, 26160, Germany
| | - Eduard Vieta
- Bipolar and Depressive Disorders Unit, Hospital Clinic de Barcelona, Barcelona, Spain; Fundació Clínic per la Recerca Biomèdica-Institut d'Investigacions Biomèdiques August Pi i Sunyer (FCRB-IDIBAPS), Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Institut de Neurociencies (UBNeuro), Universitat de Barcelona (UB), Barcelona, Spain.
| | - Sergi Papiol
- Institute of Psychiatric Phenomics and Genomics (IPPG), LMU University Hospital, LMU Munich, Munich, Germany; Max Planck Institute of Psychiatry, Munich, Germany.
| | - Thomas G Schulze
- Institute of Psychiatric Phenomics and Genomics (IPPG), LMU University Hospital, LMU Munich, Munich, Germany; DZPG (German Center for Mental Health), partner site Munich/Augsburg; Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, NY, USA; Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Carla Torrent
- Bipolar and Depressive Disorders Unit, Hospital Clinic de Barcelona, Barcelona, Spain; Fundació Clínic per la Recerca Biomèdica-Institut d'Investigacions Biomèdiques August Pi i Sunyer (FCRB-IDIBAPS), Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
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Zarp J, Bruun CF, Christiansen ST, Krogh HB, Kuchinke OV, Bernsen CL, Jespersen AE, Bardram JE, Kessing LV, Miskowiak KW. Web-based cognitive screening in bipolar disorder: validation of the Internet-based Cognitive Assessment Tool in remote administration settings. Nord J Psychiatry 2025; 79:52-61. [PMID: 39616601 DOI: 10.1080/08039488.2024.2434601] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/14/2024] [Revised: 11/19/2024] [Accepted: 11/21/2024] [Indexed: 01/16/2025]
Abstract
BACKGROUND Cognitive impairments are prevalent during remission in bipolar disorder (BD), but existing cognitive screening tools are time- and resource-intensive. Digital, web-based options can facilitate detection and monitoring of these impairments across clinical and research settings. METHODS This cross-sectional study investigated psychometric properties of the Internet-based Cognitive Assessment Tool (ICAT) when self-administered in home-based settings. Newly diagnosed, remitted outpatients with BD and healthy controls (HC) underwent cognitive testing with the standard paper-pencil tool Screen for Cognitive Impairment in Psychiatry (SCIP) in-clinic and ICAT at-home as part of baseline assessments for an intervention trial (ClinicalTrials ID: 2021-000862-14). RESULTS Data were analyzed for 31 BD patients and 29 HC. We demonstrated a strong positive correlation between at-home ICAT and in-clinic SCIP total scores within patients with BD (r(29) = 0.66, p < .001), which survived subsyndromal mood symptoms adjustment (partial r(25) = 0.67, p < .001), indicating adequate concurrent validity. There was a moderate positive correlation between ICAT and SCIP total scores across the entire sample (r(54) = 0.56, p < .001) and between subtest scores (r = 0.29-0.61, ps ≤ .03), except the executive functions tasks (p = .1). BD patients exhibited no impaired performance compared to HC on ICAT or SCIP (ps ≥ .08). CONCLUSIONS ICAT is a valid and feasible online tool for remote cognitive screening in remitted patients with BD. Web-based screening constitutes an accessible and efficient approach for implementing systematic cognitive screening in BD.
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Affiliation(s)
- Jeff Zarp
- Copenhagen Affective Disorder Research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital - Mental Health Services CPH, Copenhagen, Denmark
- Neurocognition and Emotion in Affective Disorders (NEAD) Centre, Psychiatric Centre Copenhagen, Copenhagen University Hospital - Mental Health Services CPH, Copenhagen, Denmark
- Department of Psychology, University of Copenhagen, Copenhagen, Denmark
| | - Caroline Fussing Bruun
- Copenhagen Affective Disorder Research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital - Mental Health Services CPH, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark
| | - Sille Tørring Christiansen
- Copenhagen Affective Disorder Research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital - Mental Health Services CPH, Copenhagen, Denmark
- Neurocognition and Emotion in Affective Disorders (NEAD) Centre, Psychiatric Centre Copenhagen, Copenhagen University Hospital - Mental Health Services CPH, Copenhagen, Denmark
- Department of Psychology, University of Copenhagen, Copenhagen, Denmark
| | - Helle B Krogh
- Sexological Clinic, Mental Health Center Copenhagen, Copenhagen University Hospital, Copenhagen, Denmark
| | - Oscar Vittorio Kuchinke
- Copenhagen Affective Disorder Research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital - Mental Health Services CPH, Copenhagen, Denmark
- Neurocognition and Emotion in Affective Disorders (NEAD) Centre, Psychiatric Centre Copenhagen, Copenhagen University Hospital - Mental Health Services CPH, Copenhagen, Denmark
- Department of Psychology, University of Copenhagen, Copenhagen, Denmark
| | - Christoffer Leth Bernsen
- Copenhagen Affective Disorder Research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital - Mental Health Services CPH, Copenhagen, Denmark
| | - Andreas Elleby Jespersen
- Copenhagen Affective Disorder Research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital - Mental Health Services CPH, Copenhagen, Denmark
- Neurocognition and Emotion in Affective Disorders (NEAD) Centre, Psychiatric Centre Copenhagen, Copenhagen University Hospital - Mental Health Services CPH, Copenhagen, Denmark
- Department of Psychology, University of Copenhagen, Copenhagen, Denmark
| | - Jakob Eyvind Bardram
- Department of Health Technology, Digital Health Section, Technical University of Denmark, Kongens Lyngby, Denmark
- Copenhagen Center for Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Lars Vedel Kessing
- Copenhagen Affective Disorder Research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital - Mental Health Services CPH, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark
| | - Kamilla Woznica Miskowiak
- Copenhagen Affective Disorder Research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital - Mental Health Services CPH, Copenhagen, Denmark
- Neurocognition and Emotion in Affective Disorders (NEAD) Centre, Psychiatric Centre Copenhagen, Copenhagen University Hospital - Mental Health Services CPH, Copenhagen, Denmark
- Department of Psychology, University of Copenhagen, Copenhagen, Denmark
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Martino DJ. Neurodevelopment as an alternative to neuroprogression to explain cognitive functioning in bipolar disorder. Psychol Med 2024; 54:1-6. [PMID: 39679563 PMCID: PMC11769903 DOI: 10.1017/s0033291724003210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2024] [Revised: 11/11/2024] [Accepted: 11/16/2024] [Indexed: 12/17/2024]
Affiliation(s)
- Diego J. Martino
- National Council of Scientific and Technical Research (CONICET), Buenos Aires, Argentina
- Institute of Cognitive and Translational Neuroscience (INCyT), INECO Foundation, Favaloro University, Buenos Aires, Argentina
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Haglili O, Sixsmith A, Star AP, Shmueli M, O'Rourke N. Perceived cognitive loss, symptomology, and psychological well-being with bipolar disorder. Int J Bipolar Disord 2024; 12:34. [PMID: 39367913 PMCID: PMC11456122 DOI: 10.1186/s40345-024-00357-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2024] [Accepted: 09/23/2024] [Indexed: 10/07/2024] Open
Abstract
BACKGROUND Adults with bipolar disorder (BD) commonly present with cognitive deficits. Many also report subjective or perceived cognitive failures. For this study, we identified four distinct clusters of adults with BD on the basis of both BD symptoms (depression and hypo/mania) and perceived cognitive errors (i.e., forgetfulness, distractibility, false triggering). We hypothesized that participants reporting more BD symptoms and cognitive errors would report lower psychological well-being (i.e., self-efficacy, life scheme, life satisfaction). A second objective was to determine if and how clusters differed in terms of BD related factors (e.g., subtypes, sleep, medications) and sociodemographic differences such as age of participants. From the BADAS (Bipolar Affective Disorder and older Adults) Study, we identified 281adults with BD (M = 44.27 years of age, range 19-81), recruited via social media. RESULTS All clusters significantly differed across all grouping variables except symptoms of hypo/mania due to low frequency. Across clusters, perceived cognitive failures and BD symptoms increased in lockstep; that is, those reporting more cognitive errors also reported significantly higher symptoms of both depression and hypo/mania. As hypothesized, they also reported significantly lower psychological well-being. CONCLUSIONS Age did not significantly differ across clusters in contrast to existing research in which cognitive loss is objectively measured. That is, perceived cognitive errors are significantly associated with lower psychological well-being for both young and older adults with BD.
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Affiliation(s)
- Ophir Haglili
- Department of Psychology, Faculty of Humanities and Social Sciences, Ben-Gurion University of the Negev, Be'er Sheva, Israel
| | - Andrew Sixsmith
- STAR Institute, Simon Fraser University, Vancouver, BC, Canada
| | - Ariel Pollock Star
- School of Public Health, Faculty of Health Sciences, Ben-Gurion University of the Negev, Be'er Sheva, Israel
| | - Moshe Shmueli
- Goldman School of Medicine, Faculty of Health Sciences, Ben-Gurion University of the Negev, Be'er Sheva, Israel
| | - Norm O'Rourke
- Department of Psychology, Faculty of Humanities and Social Sciences, Ben-Gurion University of the Negev, Be'er Sheva, Israel.
- School of Public Health, Faculty of Health Sciences, Ben-Gurion University of the Negev, Be'er Sheva, Israel.
- Multidisciplinary Center for Research on Aging, Faculty of Health Science, Ben-Gurion University of the Negev, Be'er Sheva, Israel.
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Russo A, Örzsik B, Yalin N, Simpson I, Nwaubani P, Pinna A, De Marco R, Sharp H, Kartar A, Singh N, Blockley N, Stone AJL, Turkheimer FE, Young AH, Cercignani M, Zelaya F, Asllani I, Colasanti A. Altered oxidative neurometabolic response to methylene blue in bipolar disorder revealed by quantitative neuroimaging. J Affect Disord 2024; 362:790-798. [PMID: 39019231 DOI: 10.1016/j.jad.2024.07.029] [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: 03/23/2024] [Revised: 06/05/2024] [Accepted: 07/12/2024] [Indexed: 07/19/2024]
Abstract
BACKGROUND Cerebral mitochondrial and hemodynamic abnormalities have been implicated in Bipolar Disorder pathophysiology, likely contributing to neurometabolic vulnerability-leading to worsen clinical outcomes and mood instability. To investigate neurometabolic vulnerability in patients with BD, we combined multi-modal quantitative MRI assessment of cerebral oxygenation with acute administration of Methylene Blue, a neurometabolic/hemodynamic modulator acting on cerebral mitochondria. METHODS Fifteen euthymic patients with chronic BD-type 1, and fifteen age/gender-matched healthy controls underwent two separate MRI sessions in a single-blinded randomized cross-over design, each after intravenous infusion of either MB (0.5 mg/kg) or placebo. MRI-based measures of Cerebral Blood Flow and Oxygen Extraction Fraction were integrated to compute Cerebral Metabolic Rate of Oxygen in Frontal Lobe, Anterior Cingulate, and Hippocampus-implicated in BD neurometabolic pathophysiology. Inter-daily variation in mood rating was used to assess mood instability. RESULTS A decrease in global CBF and CMRO2 was observed after acutely administrating MB to all participants. Greater regional CMRO2 reductions were observed after MB, in patients compared to controls in FL (mean = -14.2 ± 19.5 % versus 2.3 ± 14.8 %), ACC (mean = -14.8 ± 23.7 % versus 2.4 ± 15.7 %). The effects on CMRO2 in those regions were primarily driven by patients with longer disease duration and higher mood instability. LIMITATIONS Sample size; medications potentially impacting on response to MB. CONCLUSIONS An altered neurometabolic response to MB, a mitochondrial/hemodynamic modulator, was observed in patients, supporting the hypothesis of vulnerability to neurometabolic stress in BD. Integrating quantitative imaging of cerebral oxygen metabolism with a mitochondrial-targeting pharmacological challenge could provide a novel biomarker of neurometabolic and cerebrovascular pathophysiology in BD.
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Affiliation(s)
- Alfonso Russo
- Department of Clinical Neuroscience, Brighton and Sussex Medical School, University of Sussex, Falmer, Brighton, UK; Sussex Partnership NHS Foundation Trust, Worthing, UK.
| | - Balázs Örzsik
- Department of Clinical Neuroscience, Brighton and Sussex Medical School, University of Sussex, Falmer, Brighton, UK; Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Nefize Yalin
- Section on the Neurobiology and Treatment of Mood Disorders, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland, USA
| | - Ivor Simpson
- School of Engineering and Informatics, University of Sussex, Falmer, Brighton, UK
| | - Prince Nwaubani
- Institute of Psychiatry, Psychology and Neuroscience, King's College, London, UK
| | - Antonello Pinna
- Department of Clinical Neuroscience, Brighton and Sussex Medical School, University of Sussex, Falmer, Brighton, UK
| | - Riccardo De Marco
- Department of Clinical Neuroscience, Brighton and Sussex Medical School, University of Sussex, Falmer, Brighton, UK
| | - Harriet Sharp
- Department of Clinical Neuroscience, Brighton and Sussex Medical School, University of Sussex, Falmer, Brighton, UK
| | - Amy Kartar
- Department of Clinical Neuroscience, Brighton and Sussex Medical School, University of Sussex, Falmer, Brighton, UK
| | - Nisha Singh
- Institute of Psychiatry, Psychology and Neuroscience, King's College, London, UK; Department of Paediatrics, University of Oxford, Oxford, UK
| | | | | | | | - Allan H Young
- Institute of Psychiatry, Psychology and Neuroscience, King's College, London, UK
| | - Mara Cercignani
- Cardiff University Brain Research Imaging Centre, Cardiff University, Cardiff, UK
| | - Fernando Zelaya
- Institute of Psychiatry, Psychology and Neuroscience, King's College, London, UK
| | - Iris Asllani
- Department of Clinical Neuroscience, Brighton and Sussex Medical School, University of Sussex, Falmer, Brighton, UK; Biomedical Engineering, Rochester Institute of Technology, Rochester, USA
| | - Alessandro Colasanti
- Department of Clinical Neuroscience, Brighton and Sussex Medical School, University of Sussex, Falmer, Brighton, UK; Sussex Partnership NHS Foundation Trust, Worthing, UK
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Cremaschi L, Macellaro M, Girone N, Bosi M, Cesana BM, Ambrogi F, Dell'Osso B. The progression trajectory of Bipolar Disorder: results from the application of a staging model over a ten-year observation. J Affect Disord 2024; 362:186-193. [PMID: 38944295 DOI: 10.1016/j.jad.2024.06.094] [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: 03/04/2024] [Revised: 06/03/2024] [Accepted: 06/25/2024] [Indexed: 07/01/2024]
Abstract
BACKGROUND Trying to better define Bipolar Disorder (BD) progression, different staging models have been conceptualized, each one emphasizing different aspects of illness. In a previous article we retrospectively applied the main staging models to a sample of 100 bipolar patients at four time points over a ten-year observation. In the present study, focusing on Kupka & Hillegers's model, we aimed to assess the transition of the same sample through the different stages of illness and to explore the potential role of clinical variables on the risk of progression. METHODS Multistate Model using the mstate package in R and Markov model with stratified hazards were used for statistical analysis. RESULTS A high hazard of transition from stage 2 to 3 emerged, with a probability of staying in stage 2 decreasing to 14 % after 3 years. BD II was significantly associated with transition from stage 1 to 2, whereas the number of lifetime episodes >3 and the elevated predominant polarity with transition from stage 3 to 4. CONCLUSION Our results corroborated the evidence on BD progression and contributed to outline its trajectory over time. Further effort may help to define a standardized staging approach towards ever increasing tailored interventions.
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Affiliation(s)
- Laura Cremaschi
- University of Milan, Department of Mental Health, Department of Biomedical and Clinical Sciences Luigi Sacco, Milan, Italy.
| | - Monica Macellaro
- University of Milan, Department of Mental Health, Department of Biomedical and Clinical Sciences Luigi Sacco, Milan, Italy; "Aldo Ravelli" Center for Neurotechnology and Brain Therapeutic, University of Milan, Milan, Italy
| | - Nicolaja Girone
- University of Milan, Department of Mental Health, Department of Biomedical and Clinical Sciences Luigi Sacco, Milan, Italy
| | - Monica Bosi
- University of Milan, Department of Mental Health, Department of Biomedical and Clinical Sciences Luigi Sacco, Milan, Italy
| | - Bruno Mario Cesana
- University of Milan, Department of Clinical Sciences and Community Health, Unit of Medical Statistics, Biometry and Bioinformatics "Giulio A. Maccacaro", Faculty of Medicine and Surgery, Milan, Italy
| | - Federico Ambrogi
- University of Milan, Department of Clinical Sciences and Community Health, Unit of Medical Statistics, Biometry and Bioinformatics "Giulio A. Maccacaro", Faculty of Medicine and Surgery, Milan, Italy
| | - Bernardo Dell'Osso
- University of Milan, Department of Mental Health, Department of Biomedical and Clinical Sciences Luigi Sacco, Milan, Italy; Stanford University, Department of Psychiatry and Behavioral Sciences, Bipolar Disorders Clinic, CA, USA; "Aldo Ravelli" Center for Neurotechnology and Brain Therapeutic, University of Milan, Milan, Italy
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7
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Pereira CS, Padoan CS, Silva MM, Magalhães PVS. A grounded theory on acceptance of diagnosis as a pathway to recovery in bipolar disorder. Sci Rep 2024; 14:13434. [PMID: 38862539 PMCID: PMC11166999 DOI: 10.1038/s41598-024-61923-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Accepted: 05/10/2024] [Indexed: 06/13/2024] Open
Abstract
The recovery process in bipolar disorder is a subjective and multidimensional experience that seeks to develop new meanings and purposes for living a satisfying life despite the limitations imposed by the disorder. Thus, this qualitative study aimed to explore the perceptions of recovery and the meanings attributed by individuals undergoing treatment for bipolar disorder to the elements considered relevant in this process. Semi-structured interviews with open-ended questions were conducted to explore the experiences and perspectives of recovery in individuals undergoing treatment for bipolar disorder. Grounded Theory was used as the method for qualitative analysis. The study included 26 participants aged between 18 and 65 years. Based on the analysis of participant reports, we identified two main themes: living with the illness and what it means to be in recovery. The perception of recovery is an individual process and can differ from the medical model. Participants suggest that accepting the diagnosis of bipolar disorder and finding meaning in life are essential to their recovery. They also describe how mental health professionals can facilitate or hinder this process. Understanding patients' perceptions can facilitate access to healthcare services and treatment adherence.
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Affiliation(s)
- Caroline Silveira Pereira
- Graduate Program in Psychiatry and Behavioral Sciences, Faculty of Medicine, Hospital de Clínicas de Porto Alegre, Centro de Pesquisa Clínica, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Carolina Stopinski Padoan
- Graduate Program in Psychiatry and Behavioral Sciences, Faculty of Medicine, Hospital de Clínicas de Porto Alegre, Centro de Pesquisa Clínica, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Marielle Moro Silva
- Graduate Program in Psychiatry and Behavioral Sciences, Faculty of Medicine, Hospital de Clínicas de Porto Alegre, Centro de Pesquisa Clínica, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Pedro V S Magalhães
- Graduate Program in Psychiatry and Behavioral Sciences, Faculty of Medicine, Hospital de Clínicas de Porto Alegre, Centro de Pesquisa Clínica, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
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8
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Yang M, Li J, Fu Y, Wang G, Liu M, Chen J, Liu J. Association of childhood trauma, social support, cognition, and suicidality in females with bipolar disorder. BMC Psychiatry 2024; 24:243. [PMID: 38566037 PMCID: PMC10986031 DOI: 10.1186/s12888-024-05672-9] [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: 08/30/2023] [Accepted: 03/11/2024] [Indexed: 04/04/2024] Open
Abstract
BACKGROUND Bipolar disorder (BD) is a severe mental disorder with heavy disease burden. Females with BD are special populations who suffer a lot from childhood trauma, social support, cognitive deficits, and suicidality. In this study, the relationship among childhood trauma, social support, and clinical symptoms of BD was investigated and the risk factors for suicidality were explored in female patients with BD. METHODS This study included 57 drug-naive female BD patients, 64 female BD patients with long-term medication, and 50 age-matched female healthy controls. Childhood trauma, social support, clinical symptoms, cognition, and suicidality (suicide ideation, suicide plan, suicide attempt, suicide frequency) were measured with scales. RESULTS Compared with healthy controls, females with BD showed higher levels of childhood trauma and suicidality, and lower levels of social support and cognitive deficits. In the drug-naïve BD group, social support mediated the relationship between childhood trauma and insomnia symptoms (indirect effect: ab = 0.025). In the BD with long-term medication group, mania symptom was associated with suicide plan (OR = 1.127, p = 0.030), childhood trauma was associated with suicide attempt (OR = 1.088, p = 0.018), and years of education (OR = 0.773, p = 0.028), childhood trauma (OR = 1.059, p = 0.009), and delayed memory (OR= 1.091, p= 0.016) was associated with suicide frequency (OR = 1.091, p = 0.016). CONCLUSIONS This study provides initial evidence that social support partially explains the relationship between childhood trauma and clinical symptoms in females with BD. Additionally, mania symptoms, childhood trauma, and delayed memory were risk factors for suicidality. Interventions providing social support and improving cognitive function may be beneficial for females with BD who are exposed to childhood trauma and with high suicide risk.
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Affiliation(s)
- Min Yang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, 410011, Changsha, Hunan, China
| | - Jiaxin Li
- Department of Psychiatry, National Clinical Research Center for Mental Disorders and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, 410011, Changsha, Hunan, China
| | - Yaqian Fu
- Department of Ultrasound Diagnosis, The Second Xiangya Hospital of Central South University, 410011, Changsha, Hunan, China
| | - Guotao Wang
- Department of Ultrasound Diagnosis, The Second Xiangya Hospital of Central South University, 410011, Changsha, Hunan, China
| | - Minghui Liu
- Department of Ultrasound Diagnosis, The Second Xiangya Hospital of Central South University, 410011, Changsha, Hunan, China
| | - Jindong Chen
- Department of Psychiatry, National Clinical Research Center for Mental Disorders and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, 410011, Changsha, Hunan, China
| | - Jieyu Liu
- Department of Ultrasound Diagnosis, The Second Xiangya Hospital of Central South University, 410011, Changsha, Hunan, China.
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9
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Caruana GF, Carruthers SP, Berk M, Rossell SL, Van Rheenen TE. To what extent does white matter map to cognition in bipolar disorder? A systematic review of the evidence. Prog Neuropsychopharmacol Biol Psychiatry 2024; 128:110868. [PMID: 37797735 DOI: 10.1016/j.pnpbp.2023.110868] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 09/19/2023] [Accepted: 10/01/2023] [Indexed: 10/07/2023]
Abstract
Cognitive impairment is a prominent feature of bipolar disorder (BD), however the neural substrates underpinning it remain unclear. Several studies have explored white matter as a correlate of cognitive functioning in BD cohorts, but mixed results and varied methodologies from one to another make inferences about this relationship difficult to draw. Here we sought to systematically synthesise the findings of these studies to more clearly explicate the nature and extent of relationships between white matter and cognition in BD and determine best practice methodologies and areas for future research in this area. Using PRISMA guidelines, we identified and systematically reviewed 37 relevant studies, all of which were cross-sectional by design. There was substantial methodological heterogeneity and variability in the clinical presentations of BD cohorts encapsulated within the studies we reviewed, which complicated our synthesis of the findings. Nonetheless, there was some evidence that cognition is related to both white matter macrostructure and microstructure in people with BD. In particular, multiple microstructural studies consistently reported that higher fractional anisotropy, both globally and in the corpus callosum, associated with better complex attention skills and executive functioning. However, several reports did not identify any associations at all, and in general, associations between WM and cognition tended to only be evident in studies utilising larger samples and post-hoc selection of WM regions of interest. Further research with increased statistical power and standardised methods are required moving forward.
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Affiliation(s)
- Georgia F Caruana
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Victoria 3053, Australia
| | - Sean P Carruthers
- Centre for Mental Health, School of Health Sciences, Swinburne University of Technology, Victoria 3122, Australia
| | - Michael Berk
- Deakin University, IMPACT - the Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Geelong 3220, Australia; Centre for Youth Mental Health and Orygen, The National Centre of Excellence in Youth Mental Health, University of Melbourne, Victoria 3052, Australia; Barwon Health, University Hospital Geelong, Victoria 3220, Australia; Florey Institute for Neuroscience and Mental Health, University of Melbourne, Victoria 3052, Australia
| | - Susan L Rossell
- Centre for Mental Health, School of Health Sciences, Swinburne University of Technology, Victoria 3122, Australia; St Vincent's Mental Health, St Vincent's Hospital, VIC, Australia
| | - Tamsyn E Van Rheenen
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Victoria 3053, Australia; Centre for Mental Health, School of Health Sciences, Swinburne University of Technology, Victoria 3122, Australia; Deakin University, IMPACT - the Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Geelong 3220, Australia.
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10
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Miguel N, Marquez-Arrico JE, Jodar M, Navarro JF, Adan A. Neuropsychological functioning of patients with major depression or bipolar disorder comorbid to substance use disorders: A systematic review. Eur Neuropsychopharmacol 2023; 75:41-58. [PMID: 37453267 DOI: 10.1016/j.euroneuro.2023.06.006] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 06/14/2023] [Accepted: 06/19/2023] [Indexed: 07/18/2023]
Abstract
Major depression disorder (MDD) and bipolar disorder (BD) are usual comorbidities in patients with substance use disorders (SUD), a condition known as dual disorder (DD). MDD, BD and SUD are associated with cognitive impairment, potentially leading to a greater functional impairment in the context of DD. OBJECTIVES To review the existing data on the cognitive impairment in DD patients with comorbid MDD or BD, considering the influence of the depressive symptomatology. METHODS Following the PRISMA protocol 19 studies were selected from the last 17 years, 13 of which focused on BD, five on MDD and one included both diagnoses. RESULTS Studies based in BD+SUD showed that the most affected cognitive domains were attention and executive functions, but not all of them found a greater impairment due to the comorbidity. While fewer studies were found for depression, MDD+SUD works point to a similar impairment cognitive pattern. Furthermore, depression improvement could be associated to better cognitive performance. LIMITATIONS More standardized research is needed regarding the influence of depression on cognitive performance of DD patients, especially on those with comorbid MDD. Factors such as main substance, abstinence, or MDD/BD-related variables should be considered. Unstudied factors, like gender or circadian rhythms, are proposed to improve knowledge in this area. CONCLUSIONS Current studies suggest that DD could potentiate cognitive impairment in BD, MDD and SUD. However, additional research is needed to improve the understanding of comorbidity to apply more individualized therapies in the treatment of these patients, considering the interference of their neurocognitive functioning.
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Affiliation(s)
- Nuria Miguel
- Department of Clinical Psychology and Psychobiology, Universitat de Barcelona, Spain
| | - Julia E Marquez-Arrico
- Department of Clinical Psychology and Psychobiology, Universitat de Barcelona, Spain; Institute of Neurosciences (UBNeuro), Universitat de Barcelona, Spain
| | - Mercè Jodar
- Neurology Service, Hospital Universitari Parc Taulí, Sabadell, Spain; Department of Clinical and Health Psychology, Universitat Autònoma de Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud mental (CIBERSAM), Instituto de salud Carlos III, Madrid, Spain
| | | | - Ana Adan
- Department of Clinical Psychology and Psychobiology, Universitat de Barcelona, Spain; Institute of Neurosciences (UBNeuro), Universitat de Barcelona, Spain.
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11
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Mardani P, Javdani H, Zolghadriha A, Mousavi SE, Dadashi M. A Randomized Clinical Trial to Assess the Effect of Medication Therapy Plus tDCS on Problem-solving and Emotion Regulation of Patients with Bipolar Disorder Type I. CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE : THE OFFICIAL SCIENTIFIC JOURNAL OF THE KOREAN COLLEGE OF NEUROPSYCHOPHARMACOLOGY 2023; 21:466-477. [PMID: 37424415 PMCID: PMC10335899 DOI: 10.9758/cpn.22.988] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Revised: 07/14/2022] [Accepted: 08/12/2022] [Indexed: 07/11/2023]
Abstract
Objective This study aims to evaluate the effectiveness of medication therapy combined with transcranial Direct Current Stimulation (tDCS) in improving problem-solving and emotion regulation abilities of patients with bipolar disorder (BD) type I. Methods This is a randomized clinical trial conducted on 30 patients with BD I, randomly assigned into two groups of Medication (n = 15, receiving mood stabilizers including 2-5 tablets of lithium 300 mg, sodium valproate 200 mg, and carbamazepine 200 mg) and Medication + tDCS (n = 15, receiving mood stabilizers plus tDCS with 2 mA intensity over the right dorsolateral prefrontal cortex for 10 days, two sessions per day each for 20 minutes). The Tower of London (TOL) test and Emotion Regulation Questionnaire (ERQ) were used for assessments before, immediately, and 3 months after interventions. Results There was a significant difference between groups in total ERQ (p = 0.001) and its cognitive reappraisal domain (p = 0.000) which were increased, but the difference was not significant in its expressive suppression domain (p > 0.05). After 3 months, their level decreased. In examining problem-solving variable, the combined therapy could significantly reduce only the total number of errors under TOL test (p = 0.00), but it remained unchanged after 3 months. Conclusion Medication therapy plus tDCS is effective in improving problem-solving and emotional regulation (cognitive reappraisal) skills of patients with BD I.
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Affiliation(s)
- Parnaz Mardani
- Department of Clinical Psychology, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran
| | - Hossein Javdani
- Department of Psychiatry, School of Medicine, Qazvin University of Medical Sciences, Qazvin, Iran
| | - Ahmad Zolghadriha
- Department of Psychiatry, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran
| | - Seyedeh Elnaz Mousavi
- Department of Clinical Psychology, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran
| | - Mohsen Dadashi
- Department of Clinical Psychology, Social Determinants of Health Research Center, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran
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12
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Abé C, Liberg B, Klahn AL, Petrovic P, Landén M. Mania-related effects on structural brain changes in bipolar disorder - a narrative review of the evidence. Mol Psychiatry 2023; 28:2674-2682. [PMID: 37147390 PMCID: PMC10615759 DOI: 10.1038/s41380-023-02073-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 04/12/2023] [Accepted: 04/14/2023] [Indexed: 05/07/2023]
Abstract
Cross-sectional neuroimaging studies show that bipolar disorder is associated with structural brain abnormalities, predominantly observed in prefrontal and temporal cortex, cingulate gyrus, and subcortical regions. However, longitudinal studies are needed to elucidate whether these abnormalities presage disease onset or are consequences of disease processes, and to identify potential contributing factors. Here, we narratively review and summarize longitudinal structural magnetic resonance imaging studies that relate imaging outcomes to manic episodes. First, we conclude that longitudinal brain imaging studies suggest an association of bipolar disorder with aberrant brain changes, including both deviant decreases and increases in morphometric measures. Second, we conclude that manic episodes have been related to accelerated cortical volume and thickness decreases, with the most consistent findings occurring in prefrontal brain areas. Importantly, evidence also suggests that in contrast to healthy controls, who in general show age-related cortical decline, brain metrics remain stable or increase during euthymic periods in bipolar disorder patients, potentially reflecting structural recovering mechanisms. The findings stress the importance of preventing manic episodes. We further propose a model of prefrontal cortical trajectories in relation to the occurrence of manic episodes. Finally, we discuss potential mechanisms at play, remaining limitations, and future directions.
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Affiliation(s)
- Christoph Abé
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Quantify Research, Stockholm, Sweden
| | - Benny Liberg
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Anna Luisa Klahn
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Chemistry and Molecular Biology, University of Gothenburg, Gothenburg, Sweden
| | - Predrag Petrovic
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Center for Cognitive and Computational Neuropsychiatry, Karolinska Institutet, Stockholm, Sweden
- Center for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden
| | - Mikael Landén
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
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13
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Fleischmann E, Dalkner N, Fellendorf FT, Bengesser SA, Lenger M, Birner A, Queissner R, Platzer M, Tmava-Berisha A, Maget A, Wagner-Skacel J, Stross T, Schmiedhofer F, Smolle S, Painold A, Reininghaus EZ. The Big Five as Predictors of Cognitive Function in Individuals with Bipolar Disorder. Brain Sci 2023; 13:brainsci13050773. [PMID: 37239245 DOI: 10.3390/brainsci13050773] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Revised: 04/02/2023] [Accepted: 05/02/2023] [Indexed: 05/28/2023] Open
Abstract
The connection between cognitive function and the "Big Five" personality traits (openness, conscientiousness, extraversion, agreeableness, and neuroticism) in the general population is well known; however, studies researching bipolar disorder (BD) are scarce. Therefore, this study aimed to investigate the Big Five as predictors of executive function, verbal memory, attention, and processing speed in euthymic individuals with BD (cross-sectional: n = 129, including time point t1; longitudinal: n = 35, including t1 and t2). Participants completed the NEO Five-Factor Inventory, the Color and Word Interference Test, the Trail Making Test, the d2 Test of Attention Revised, and the California Verbal Learning Test. The results showed a significant negative correlation between executive function and neuroticism at t1. Changes in cognitive function between t1 and t2 did not correlate with and could not be predicted by the Big Five at t1. Additionally, worse executive function at t2 was predicted by higher neuroticism and lower conscientiousness at t1, and high neuroticism was a predictor of worse verbal memory at t2. The Big Five might not strongly impact cognitive function over short periods; however, they are significant predictors of cognitive function. Future studies should include a higher number of participants and more time in between points of measurement.
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Affiliation(s)
- Eva Fleischmann
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, 8036 Graz, Styria, Austria
| | - Nina Dalkner
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, 8036 Graz, Styria, Austria
| | - Frederike T Fellendorf
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, 8036 Graz, Styria, Austria
| | - Susanne A Bengesser
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, 8036 Graz, Styria, Austria
| | - Melanie Lenger
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, 8036 Graz, Styria, Austria
| | - Armin Birner
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, 8036 Graz, Styria, Austria
| | - Robert Queissner
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, 8036 Graz, Styria, Austria
| | - Martina Platzer
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, 8036 Graz, Styria, Austria
| | - Adelina Tmava-Berisha
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, 8036 Graz, Styria, Austria
| | - Alexander Maget
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, 8036 Graz, Styria, Austria
| | - Jolana Wagner-Skacel
- Department of Medical Psychology and Psychotherapy, Medical University of Graz, 8036 Graz, Styria, Austria
| | - Tatjana Stross
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, 8036 Graz, Styria, Austria
| | - Franziska Schmiedhofer
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, 8036 Graz, Styria, Austria
| | - Stefan Smolle
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, 8036 Graz, Styria, Austria
| | - Annamaria Painold
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, 8036 Graz, Styria, Austria
| | - Eva Z Reininghaus
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, 8036 Graz, Styria, Austria
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14
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Ehrlich TJ, Kim H, Ryan KA, Langenecker SA, Duval ER, Yocum AK, Diaz-Byrd C, Wrobel AL, Dean OM, Cotton SM, Berk M, McInnis MG, Marshall DF. Childhood trauma relates to worse memory functioning in bipolar disorder. J Affect Disord 2023; 333:377-383. [PMID: 37084974 DOI: 10.1016/j.jad.2023.04.056] [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: 12/14/2022] [Revised: 04/01/2023] [Accepted: 04/14/2023] [Indexed: 04/23/2023]
Abstract
BACKGROUND Childhood trauma is commonly experienced by individuals diagnosed with bipolar disorder (BP). In BP, childhood trauma is related to a more severe clinical course, but its association with cognition remains unclear. METHODS This study evaluated 405 adult participants diagnosed with BP and 136 controls. Participants completed the Childhood Trauma Questionnaire and a comprehensive neuropsychological battery. High versus low childhood trauma was defined with one standard deviation above the control participant's mean Childhood Trauma Questionnaire score. Neuropsychological data was transformed into eight cognitive factors, including four executive functioning, auditory and visual memory, fine motor, and emotion processing. Multivariate analysis of covariance evaluated group differences in cognition, while adjusting for covariates. RESULTS There were significant differences among the three groups, F(16, 968) = 4.05, p < .001, Wilks' Λ = 0.88, partial η2 = 0.06. Comparing the high and low trauma BP groups, high trauma was related to lower auditory and visual memory factor scores (p < .05). As compared to controls, the BP high trauma group had lower scores on six of eight factors (all p < .01), while the BP low trauma group had lower scores on four of eight factors (all p < .01). LIMITATIONS Analyses of factor score do not address which aspect of the memory process is affected and biomarkers may help guide interventions addressing underlying biological process. CONCLUSIONS Adults diagnosed with BP with higher childhood trauma have worse memory functioning, beyond the lower childhood trauma BP group, highlighting the importance of understanding the long-term cognitive outcomes of childhood trauma.
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Affiliation(s)
- Tobin J Ehrlich
- Heinz C Prechter Bipolar Research Program, Eisenberg Family Depression Center, USA; Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Hanjoo Kim
- Heinz C Prechter Bipolar Research Program, Eisenberg Family Depression Center, USA; Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Kelly A Ryan
- Heinz C Prechter Bipolar Research Program, Eisenberg Family Depression Center, USA; Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | | | - Elizabeth R Duval
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Anastasia K Yocum
- Heinz C Prechter Bipolar Research Program, Eisenberg Family Depression Center, USA; Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Claudia Diaz-Byrd
- Heinz C Prechter Bipolar Research Program, Eisenberg Family Depression Center, USA; Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Anna L Wrobel
- Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, VIC, Australia; Orygen, Parkville, VIC, Australia
| | - Olivia M Dean
- Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, VIC, Australia; Florey Institute for Neuroscience and Mental Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Sue M Cotton
- Orygen, Parkville, VIC, Australia; Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - Michael Berk
- Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, VIC, Australia; Orygen, Parkville, VIC, Australia; Florey Institute for Neuroscience and Mental Health, The University of Melbourne, Melbourne, VIC, Australia; Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia; Department of Psychiatry, Royal Melbourne Hospital, The University of Melbourne, Parkville, VIC, Australia
| | - Melvin G McInnis
- Heinz C Prechter Bipolar Research Program, Eisenberg Family Depression Center, USA; Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - David F Marshall
- Heinz C Prechter Bipolar Research Program, Eisenberg Family Depression Center, USA; Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA.
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15
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Li S, Lu X, Qiu Y, Teng Z, Zhao Z, Xu X, Tang H, Xiang H, Chen J, Wang B, Wu H. Association between uric acid and cognitive dysfunction: A cross-sectional study with newly diagnosed, drug-naïve with bipolar disorder. J Affect Disord 2023; 327:159-166. [PMID: 36739000 DOI: 10.1016/j.jad.2023.01.105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 01/14/2023] [Accepted: 01/27/2023] [Indexed: 02/05/2023]
Abstract
BACKGROUND Cognitive impairment is one of the major symptoms of individuals with bipolar disorder (BD). Purine system disorders may play an important role in cognitive dysfunction. So far, the relationship between cognitive deficits and purinergic metabolism in BD has been seldom discussed in previous studies. This study aims to explore its relevance and potential biological mechanisms. METHODS In this cross-sectional study, 205 first time diagnosed drug-naive individuals with BD and 97 healthy volunteers were recruited. The uric acid(UA) level was measured using automatic biochemical analyzer, and cognitive function was assessed by Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) and Stroop color-word test. In addition, general information and clinical symptoms were collected and evaluated. RESULTS In this study, the UA level of BD group (U = 8475.000, p = 0.038) was found to be significantly higher than that of the healthy controls, but the scores of RBANS (t = -11.302, p < 0.001) and Stroop color-word test (t = -6.962, p < 0.001) were significantly lower than that of the healthy controls. In gender subgroup analysis, females had lower UA level and higher RBANS scores. In correlation analysis, the cognitive function of individuals with BD was found to present a significant negative correlation with UA level in attention (r = -0.23, p = 0.001) and delayed memory(r = -0.16, p = 0.022). LIMITATIONS This is a cross-sectional design. CONCLUSION Elevated UA levels may be a potential mechanism of cognitive impairment in BD. This provides a new possible strategy for the prevention and treatment of cognitive impairment in BD.
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Affiliation(s)
- Sujuan Li
- National Clinical Research Center for Mental Disorders, , Department of Psychiatry, China National Technology Institute on Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Xiaozi Lu
- Qingdao Memtal Health Center, Qingdao, China
| | - Yan Qiu
- National Clinical Research Center for Mental Disorders, , Department of Psychiatry, China National Technology Institute on Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Ziwei Teng
- National Clinical Research Center for Mental Disorders, , Department of Psychiatry, China National Technology Institute on Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Ziru Zhao
- National Clinical Research Center for Mental Disorders, , Department of Psychiatry, China National Technology Institute on Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Xuelei Xu
- National Clinical Research Center for Mental Disorders, , Department of Psychiatry, China National Technology Institute on Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Hui Tang
- National Clinical Research Center for Mental Disorders, , Department of Psychiatry, China National Technology Institute on Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Hui Xiang
- National Clinical Research Center for Mental Disorders, , Department of Psychiatry, China National Technology Institute on Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Jindong Chen
- National Clinical Research Center for Mental Disorders, , Department of Psychiatry, China National Technology Institute on Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Bolun Wang
- Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha, China.
| | - Haishan Wu
- National Clinical Research Center for Mental Disorders, , Department of Psychiatry, China National Technology Institute on Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.
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Flaaten CB, Melle I, Gardsjord E, Bjella T, Engen MJ, Vaskinn A, Åsbø G, Wold KF, Widing L, Lyngstad SH, Haatveit B, Simonsen C, Ueland T. Course of intellectual functioning in schizophrenia and bipolar disorder: a 10-year follow-up study. Psychol Med 2023; 53:2662-2670. [PMID: 35256030 PMCID: PMC10123835 DOI: 10.1017/s0033291721004645] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Revised: 10/22/2021] [Accepted: 10/26/2021] [Indexed: 11/06/2022]
Abstract
BACKGROUND Intellectual functioning (IQ) is lower in schizophrenia patients compared to healthy controls, with bipolar patients intermediate between the two. Declines in IQ mark the onset of schizophrenia, while stability is generally found post-onset. There are to date few studies on long-term IQ development in bipolar disorder. This study presents 10-year follow-up data on IQ, including premorbid IQ estimates, to track the developmental course from pre-onset levels to long-term outcomes in both patient groups compared to healthy controls. METHODS We included 139 participants with schizophrenia, 76 with bipolar disorder and 125 healthy controls. Mixed model analyses were used to estimate developmental slopes for IQ scores from estimated premorbid level (NART IQ) through baseline (WASI IQ) measured within 12 months post-onset, to 10-year follow-up (WASI IQ), with pairwise group comparisons. The best fit was found using a model with a breakpoint at baseline assessment. RESULTS Only the schizophrenia group had significant declines from estimated premorbid to baseline IQ levels compared to controls. When comparing patient groups, schizophrenia patients had steeper declines than the bipolar group. Increases in IQ were found in all groups over the follow-up period. CONCLUSIONS Trajectories of IQ from premorbid level to 10-year follow-up indicated declines from estimated premorbid level to illness onset in both patient groups, followed by increases during the follow-up period. Schizophrenia patients had a steeper decline than bipolar patients. During follow-up, increases indicate developmental improvement for both patient groups, but with a maintained lag compared to healthy controls due to lower premorbid levels.
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Affiliation(s)
- Camilla Bärthel Flaaten
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Ingrid Melle
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Erlend Gardsjord
- Division of Mental Health and Addiction, Unit for Early Intervention in Psychosis, Oslo University Hospital, Oslo, Norway
| | - Thomas Bjella
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Magnus Johan Engen
- Division of Mental Health and Addiction, Nydalen DPS, Oslo University Hospital, Oslo, Norway
| | - Anja Vaskinn
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Centre for Research and Education in Forensic Psychiatry, Oslo University Hospital, Oslo, Norway
| | - Gina Åsbø
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Kristin Fjelnseth Wold
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Line Widing
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Siv Hege Lyngstad
- Division of Mental Health and Addiction, Nydalen DPS, Oslo University Hospital, Oslo, Norway
| | - Beathe Haatveit
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Carmen Simonsen
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Early Intervention in Psychosis Advisory Unit for South East Norway, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Torill Ueland
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
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17
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de Siqueira Rotenberg L, Kjærstad HL, Varo C, Vinberg M, Kessing LV, Lafer B, Miskowiak KW. The longitudinal trajectory of emotional cognition in subgroups of recently diagnosed patients with bipolar disorder. Eur Neuropsychopharmacol 2023; 71:9-24. [PMID: 36965236 DOI: 10.1016/j.euroneuro.2023.03.005] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 03/03/2023] [Accepted: 03/07/2023] [Indexed: 03/27/2023]
Abstract
Although cross-sectional studies show heterogeneity in emotional cognition in bipolar disorder (BD), the temporal course within subgroups is unclear. In this prospective, longitudinal study we assessed the trajectories of emotional cognition subgroups within a 16-month follow-up period in recently diagnosed BD patients compared to healthy controls (HC). Recently diagnosed BD patients and HC underwent comprehensive emotional and non-emotional testing at baseline and again at follow-up. We employed hierarchical cluster analysis at baseline to identify homogenous emotional cognition subgroups of patients, and changes across the subgroups of BD and HC were assessed with linear mixed-model analyses. We found two emotional cognition subgroups: subgroup 1 (65%, n = 179), showing heightened negative emotional reactivity in neutral and negative social scenarios and faster recognition of emotional facial expressions than HC (ps<0.001, n = 190), and subgroup 2 (35%, n = 96) showing blunted reactivity in positive social scenarios, impaired emotion regulation, poorer recognition of positive and slower recognition of all facial expressions than HC (ps≤.03). Subgroup 1 exhibited normalization of the initial emotional cognition abnormalities in follow-up. In contrast, subgroup 2 showed a lack of improvement in reactivity positively-valenced emotional information. Patients in subgroup 2 presented more and longer mixed episodes during the follow-up time and were more often prescribed lithium. One third of patients display blunted emotional reactivity, impaired emotion regulation abilities and facial expression recognition difficulties also show persistent impairments and poorer course of illness. This subgroup may indicate a need for earlier and more targeted therapeutic interventions.
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Affiliation(s)
- Luisa de Siqueira Rotenberg
- Bipolar Disorder Program (PROMAN), Department of Psychiatry, University of São Paulo Medical School, São Paulo, Brazil
| | - Hanne Lie Kjærstad
- Copenhagen Affective Disorder Research Centre (CADIC), Psychiatric Centre Copenhagen, Frederiksberg Hospital, Denmark.
| | | | - Maj Vinberg
- Copenhagen Affective Disorder Research Centre (CADIC), Psychiatric Centre Copenhagen, Frederiksberg Hospital, Denmark; Department of Clinical Medicine, University of Copenhagen, Denmark; Mental Health Centre, Northern Zealand, Copenhagen University Hospital - Mental Health Services CPH, Copenhagen, Denmark
| | - Lars Vedel Kessing
- Copenhagen Affective Disorder Research Centre (CADIC), Psychiatric Centre Copenhagen, Frederiksberg Hospital, Denmark; Department of Clinical Medicine, University of Copenhagen, Denmark
| | - Beny Lafer
- Bipolar Disorder Program (PROMAN), Department of Psychiatry, University of São Paulo Medical School, São Paulo, Brazil
| | - Kamilla Woznica Miskowiak
- Copenhagen Affective Disorder Research Centre (CADIC), Psychiatric Centre Copenhagen, Frederiksberg Hospital, Denmark; Department of Psychology, University of Copenhagen, Denmark
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18
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Kjærstad HL, Haldorsen T, Vinberg M, Kessing LV, Miskowiak KW. Associations between emotional and non-emotional cognition and subsequent mood episodes in recently diagnosed patients with bipolar disorder: A 16-month follow-up study. J Affect Disord 2023; 324:16-23. [PMID: 36565963 DOI: 10.1016/j.jad.2022.12.061] [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: 09/05/2022] [Revised: 12/09/2022] [Accepted: 12/16/2022] [Indexed: 12/24/2022]
Abstract
BACKGROUND Bipolar disorder (BD) is associated with impairments in both emotional and non-emotional cognition. Recently, cognitive impairments have attracted increasing research interest as markers of prognosis and possible treatment targets in patients with BD. However, there is a paucity of studies investigating cognitive predictors of prognosis in BD. METHODS We assessed 148 recently diagnosed, symptomatically stable patients with BD with a battery of emotional and non-emotional cognitive tests and followed them up over 16 months as part of an ongoing cohort study. Multiple linear regression analyses were conducted to examine the associations between cognitive performance at baseline and the recurrence and duration of (hypo)manic and depressive episodes, respectively, with adjustment for age, sex, subsyndromal symptoms and time between assessments. RESULTS Poorer recognition of negative facial expressions and more negative emotions in neutral daily life scenarios were associated with greater frequency (ps ≤ .04) and longer duration (ps ≤ .03) of subsequent (hypo)manic episodes over the 16-month follow-up period. In addition, poorer global cognition, attention and psychomotor speed, and verbal fluency were associated with more (hypo)manic episodes (ps ≤ .04). Finally, more difficulty down-regulating emotion in negative social scenarios was associated with depressive relapse (p = .007). It was a limitation that patients had a delayed diagnosis of seven years from their first mood episode despite being recently diagnosed. CONCLUSION Trait-related cognitive impairments influence the early course in recently diagnosed patients with BD, particularly (hypo)manic relapse. Early prophylactic strategies targeting cognitive impairments may increase resilience and the course of illness in recently diagnosed patients with BD.
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Affiliation(s)
- Hanne Lie Kjærstad
- Copenhagen Affective Disorder research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital, Rigshospitalet, Denmark.
| | - Thea Haldorsen
- Department of Psychology, University of Copenhagen, Denmark
| | - Maj Vinberg
- Mental Health Centre, Northern Zealand, Copenhagen University Hospital - Mental Health Services CPH, Copenhagen, Denmark
| | - Lars Vedel Kessing
- Copenhagen Affective Disorder research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital, Rigshospitalet, Denmark; Department of Clinical Medicine, University of Copenhagen, Denmark
| | - Kamilla Woznica Miskowiak
- Copenhagen Affective Disorder research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital, Rigshospitalet, Denmark; Department of Psychology, University of Copenhagen, Denmark
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19
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Liebing S, Dalkner N, Ischebeck A, Bengesser SA, Birner A, Fellendorf FT, Lenger M, Maget A, Kroisenbrunner H, Häussl A, Platzer M, Queissner R, Schönthaler EMD, Stross T, Tmava-Berisha A, Reininghaus EZ. A one-year view on the association of metabolic syndrome and cognitive function in bipolar disorder - Preliminary data. J Affect Disord 2023; 323:251-256. [PMID: 36435403 DOI: 10.1016/j.jad.2022.11.067] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Revised: 11/16/2022] [Accepted: 11/20/2022] [Indexed: 11/25/2022]
Abstract
BACKGROUND Individuals with bipolar disorder have a high prevalence of metabolic syndrome and an increased risk for cognitive deficits. The aim of this longitudinal study was to investigate the trajectory of cognitive decline in dependence of metabolic syndrome over a one-year interval. METHODS 52 well-diagnosed individuals with bipolar disorder, euthymic at baseline and follow-up (n = 17 with metabolic syndrome vs. n = 35 without metabolic syndrome) were investigated with a comprehensive neurocognitive test battery (Trail Making Test A/B, Digit Symbol Test, California Verbal Leaning Test, or the Verbal Learning and Memory Test respectively) twice within the interval of one year. RESULTS Patients with bipolar disorder and additional metabolic syndrome performed significantly worse in the domain of psychomotor and processing speed/attention than patients without metabolic syndrome at test point one. No deteriorating effects of metabolic syndrome on the cognitive domain scores and overall cognitive performance were found at the one-year follow up. However, no cognitive decline could be reported in both groups. LIMITATIONS Time interval, small sample size and selection of metabolic syndrome affected patients were the major limitations of this study. CONCLUSION There was no association of metabolic syndrome on the one-year trajectory of cognitive function in bipolar disorder. Future studies should expand the observation period and investigate larger samples.
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Affiliation(s)
- S Liebing
- Institute of Psychology, University of Graz, Austria
| | - N Dalkner
- University Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, Austria.
| | - A Ischebeck
- Institute of Psychology, University of Graz, Austria
| | - S A Bengesser
- University Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, Austria
| | - A Birner
- University Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, Austria
| | - F T Fellendorf
- University Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, Austria
| | - M Lenger
- University Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, Austria
| | - A Maget
- University Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, Austria
| | | | - A Häussl
- University Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, Austria
| | - M Platzer
- University Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, Austria
| | - R Queissner
- University Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, Austria
| | - E M D Schönthaler
- University Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, Austria
| | - T Stross
- University Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, Austria
| | - A Tmava-Berisha
- University Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, Austria
| | - E Z Reininghaus
- University Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, Austria
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20
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Mavragani A, Sixsmith A, Pollock Star A, Haglili O, O'Rourke N. Direct and Indirect Predictors of Medication Adherence With Bipolar Disorder: Path Analysis. JMIR Form Res 2023; 7:e44059. [PMID: 36749623 PMCID: PMC9944145 DOI: 10.2196/44059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 12/24/2022] [Accepted: 12/27/2022] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Despite the efficacy of treatment and severity of symptoms, medication adherence by many with bipolar disorder (BD) is variable at best. This poses a significant challenge for BD care management. OBJECTIVE For this study, we set out to identify psychosocial and psychiatric predictors of medication adherence with BD. METHODS Using microtargeted social media advertising, we recruited an international sample of young and older adults with BD living in North America (Canada and the United States), Western Europe (eg, United Kingdom and Ireland), Australia and New Zealand (N=92). On average, participants were 55.35 (SD 9.65; range 22-73) years of age, had been diagnosed with BD 14.25 (SD 11.14; range 1-46) years ago, and were currently prescribed 2.40 (SD 1.28; range 0-6) psychotropic medications. Participants completed questionnaires online including the Morisky Medication Adherence Scale. RESULTS Medication adherence did not significantly differ across BD subtypes, country of residence, or prescription of lithium versus other mood stabilizers (eg, anticonvulsants). Path analyses indicate that alcohol misuse and subjective or perceived cognitive failures are direct predictors of medication adherence. BD symptoms, psychological well-being, and the number of comorbid psychiatric conditions emerged as indirect predictors of medication adherence via perceived cognitive failures. CONCLUSIONS Alcohol misuse did not predict perceived cognitive failures. Nor did age predict medication adherence or cognitive failures. This is noteworthy given the 51-year age range of participants. That is, persons in their 20s with BD reported similar levels of medication adherence and perceived cognitive failures as those in their 60s. This suggests that perceived cognitive loss is a facet of adult life with BD, in contrast to the assumption that accelerated cognitive aging with BD begins in midlife.
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Affiliation(s)
| | - Andrew Sixsmith
- Science and Technology for Aging Research Institute, Simon Fraser University, Vancouver, BC, Canada
| | - Ariel Pollock Star
- Department of Epidemiology, Biostatistics and Community Health Sciences, Ben-Gurion University of the Negev, Be'er Sheva, Israel
| | - Ophir Haglili
- Department of Psychology, Faculty of Humanities and Social Sciences, Ben-Gurion University of the Negev, Be'er Sheva, Israel
| | - Norm O'Rourke
- Department of Epidemiology, Biostatistics and Community Health Sciences, Ben-Gurion University of the Negev, Be'er Sheva, Israel.,Department of Psychology, Faculty of Humanities and Social Sciences, Ben-Gurion University of the Negev, Be'er Sheva, Israel.,Center for Multidisciplinary Research in Aging, Faculty of Health Sciences, Ben-Gurion University of the Negev, Be'er Sheva, Israel
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21
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Kjærstad HL, Søhol K, Vinberg M, Kessing LV, Miskowiak KW. The trajectory of emotional and non-emotional cognitive function in newly diagnosed patients with bipolar disorder and their unaffected relatives: A 16-month follow-up study. Eur Neuropsychopharmacol 2023; 67:4-21. [PMID: 36462414 DOI: 10.1016/j.euroneuro.2022.11.004] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 11/03/2022] [Accepted: 11/06/2022] [Indexed: 12/02/2022]
Abstract
Cognitive impairments are evident in remitted patients with bipolar disorder (BD) and their unaffected relatives (UR) compared to healthy controls (HC). However, the temporal course of cognition, and whether cognition is marked by neuroprogressive changes, remain unclear. In a large prospective study of newly diagnosed patients with BD, we assessed patients with BD (n = 266), UR (n = 105) and HC (n = 190) using an extensive cognitive battery of non-emotional and emotional cognition at baseline and 16-months follow-up. Cognitive change across groups was examined with linear mixed-model analyses. Results showed no evidence of trajectory differences between patients with BD, UR, and HC in neurocognition and emotional cognition (ps≥.10). Patients with BD showed stable impairments in global neurocognitive functioning over time, as well as within the domains of 'working memory and executive function' and 'attention and psychomotor speed', compared to HC. Patients who relapsed during the follow-up time were less successful at down-regulating emotions in positive social scenarios compared to HC. Unaffected relatives also displayed stable deficits in 'working memory and executive function' over time, with performance at intermediate levels between BD probands and HC. Finally, poorer neurocognition and positive emotion regulation were associated with more subsyndromal symptoms and functional impairments. In conclusion, we found no evidence of a neuroprogressive origin of cognitive impairments in the newly diagnosed BD or in their UR. Patients' and UR's impairments in working memory and executive function may reflect a stable cognitive trait-marker of familial risk. Difficulties with positive emotion regulation may be associated with illness progression in BD.
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Affiliation(s)
- Hanne Lie Kjærstad
- Copenhagen Affective Disorder research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital, Rigshospitalet, Denmark.
| | - Kristine Søhol
- Department of Psychology, University of Copenhagen, Denmark
| | - Maj Vinberg
- Mental Health Centre, Northern Zealand, Copenhagen University Hospital - Mental Health Services CPH, Copenhagen, Denmark; Department of Clinical Medicine, University of Copenhagen, Denmark
| | - Lars Vedel Kessing
- Copenhagen Affective Disorder research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital, Rigshospitalet, Denmark; Department of Clinical Medicine, University of Copenhagen, Denmark
| | - Kamilla Woznica Miskowiak
- Copenhagen Affective Disorder research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital, Rigshospitalet, Denmark; Department of Psychology, University of Copenhagen, Denmark
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22
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Martins DS, Hasse-Sousa M, Reckziegel RDFX, Lapa CDO, Petry-Perin C, Britto MJ, Remus IB, Gama CS, Czepielewski LS. A five-year follow-up of the verbal memory performance of individuals with bipolar disorder and schizophrenia: evidence of unchanging deficits under treatment. Cogn Neuropsychiatry 2023; 28:19-35. [PMID: 36254742 DOI: 10.1080/13546805.2022.2133694] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
OBJECTIVE Bipolar disorder (BD) and schizophrenia (SZ) are chronic and heterogeneous mental disorders that present cognitive and functional impairments. Verbal memory is considered an important predictor of functioning and a domain vulnerable to the aging process. However, only few studies investigate the progression of memory longitudinally in BD and SZ, especially in lower- and middle-income countries. Therefore, we aim to evaluate the course of verbal memory in individuals with BD and SZ. METHODS We assessed 31 individuals with BD and 27 individuals with SZ under treatment at outpatient clinics at baseline and after five years. They were assessed through a sociodemographic questionnaire, memory and estimated IQ (eIQ) instruments, and clinical scales. RESULTS Individuals with SZ showed worse verbal memory performance in comparison to BD, however, we did not observe changes over time within patient groups. Individuals with BD with higher eIQ showed a better verbal memory performance, while no effect of eIQ was found for subjects with SZ. CONCLUSION Patients with SZ and BD showed different levels of verbal memory impairment, although they had similar unchanging trajectories after 5 years under psychiatric treatment. This finding indicates a relative stable cognitive course for both disorders.
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Affiliation(s)
- Dayane Santos Martins
- Laboratory of Molecular Psychiatry, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.,Programa de Pós Graduação em Psiquiatria e Ciências do Comportamento, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Mathias Hasse-Sousa
- Laboratory of Molecular Psychiatry, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.,Programa de Pós-Graduação em Psicologia, Departamento de Psicologia do Desenvolvimento e da Personalidade, Instituto de Psicologia, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.,Programa de Pós Graduação em Psiquiatria e Ciências do Comportamento, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Ramiro de Freitas Xavier Reckziegel
- Laboratory of Molecular Psychiatry, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.,Programa de Pós Graduação em Psiquiatria e Ciências do Comportamento, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Clara de Olivera Lapa
- Laboratory of Molecular Psychiatry, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.,Programa de Pós Graduação em Psiquiatria e Ciências do Comportamento, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Carolina Petry-Perin
- Laboratory of Molecular Psychiatry, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - Maria Julia Britto
- Laboratory of Molecular Psychiatry, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - Isadora Bosini Remus
- Laboratory of Molecular Psychiatry, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - Clarissa Severino Gama
- Laboratory of Molecular Psychiatry, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.,Programa de Pós Graduação em Psiquiatria e Ciências do Comportamento, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Leticia Sanguinetti Czepielewski
- Laboratory of Molecular Psychiatry, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.,Programa de Pós-Graduação em Psicologia, Departamento de Psicologia do Desenvolvimento e da Personalidade, Instituto de Psicologia, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
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23
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Kjærstad HL, de Siqueira Rotenberg L, Knudsen GM, Vinberg M, Kessing LV, Macoveanu J, Lafer B, Miskowiak KW. The longitudinal trajectory of emotion regulation and associated neural activity in patients with bipolar disorder: A prospective fMRI study. Acta Psychiatr Scand 2022; 146:568-582. [PMID: 36054343 PMCID: PMC9804505 DOI: 10.1111/acps.13488] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Revised: 07/12/2022] [Accepted: 08/10/2022] [Indexed: 02/06/2023]
Abstract
OBJECTIVES Impaired emotion regulation is a key feature of bipolar disorder (BD) that presents during acute mood episodes and in remission. The neural correlates of voluntary emotion regulation seem to involve deficient prefrontal top-down regulation already at BD illness onset. However, the trajectory of aberrant neuronal activity during emotion regulation in BD is unclear. METHODS We investigated neural activity during emotion regulation in response to aversive pictures from the International Affective Picture System in patients with recently diagnosed BD (n = 43) in full or partial remission and in healthy controls (HC) (n = 38) longitudinally at baseline and 16 months later. RESULTS Patients with BD exhibited stable hypo-activity in the left dorsomedial prefrontal cortex (DMPFC) and right dorsolateral prefrontal cortex (DLPFC) and impaired emotion regulation compared to HC over the 16 months follow-up time. More DLPFC hypo-activity during emotion regulation correlated with less successful down-regulation (r = 0.16, p = 0.045), more subsyndromal depression (r = -0.18, p = 0.02) and more functional impairment (r = -0.24, p = 0.002), while more DMPFC hypo-activity correlated with less efficient emotion regulation (r = 0.16, p = 0.048). Finally, more DMPFC hypo-activity during emotion regulation at baseline was associated with an increased likelihood of subsequent relapse during the 16 months follow-up time (β = -2.26, 95% CI [0.01; 0.99], p = 0.048). CONCLUSION The stable DLPFC and DMPFC hypo-activity during emotion regulation represents a neuronal trait-marker of persistent emotion regulation difficulties in BD. Hypo-activity in the DMPFC may contribute to greater risk of relapse.
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Affiliation(s)
- Hanne Lie Kjærstad
- Copenhagen Affective Disorder research Centre (CADIC), Psychiatric Centre CopenhagenCopenhagen University HospitalRigshospitaletDenmark
| | - Luisa de Siqueira Rotenberg
- Bipolar Disorder Program (PROMAN), Department of PsychiatryUniversity of São Paulo Medical SchoolSão PauloBrazil
| | - Gitte Moos Knudsen
- Neurobiology Research UnitCopenhagen University HospitalRigshospitaletDenmark
- Department of Clinical MedicineUniversity of CopenhagenCopenhagenDenmark
| | - Maj Vinberg
- Copenhagen Affective Disorder research Centre (CADIC), Psychiatric Centre CopenhagenCopenhagen University HospitalRigshospitaletDenmark
- Department of Clinical MedicineUniversity of CopenhagenCopenhagenDenmark
- Mental Health Center, Northern ZealandCopenhagen University Hospital – Mental Health Services CPHCopenhagenDenmark
| | - Lars Vedel Kessing
- Copenhagen Affective Disorder research Centre (CADIC), Psychiatric Centre CopenhagenCopenhagen University HospitalRigshospitaletDenmark
- Department of Clinical MedicineUniversity of CopenhagenCopenhagenDenmark
| | - Julian Macoveanu
- Copenhagen Affective Disorder research Centre (CADIC), Psychiatric Centre CopenhagenCopenhagen University HospitalRigshospitaletDenmark
| | - Beny Lafer
- Bipolar Disorder Program (PROMAN), Department of PsychiatryUniversity of São Paulo Medical SchoolSão PauloBrazil
| | - Kamilla Woznica Miskowiak
- Copenhagen Affective Disorder research Centre (CADIC), Psychiatric Centre CopenhagenCopenhagen University HospitalRigshospitaletDenmark
- Department of PsychologyUniversity of CopenhagenCopenhagenDenmark
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24
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Correa-Ghisays P, Vicent Sánchez-Ortí J, Balanzá-Martínez V, Fuentes-Durá I, Martinez-Aran A, Ruiz-Bolo L, Correa-Estrada P, Ruiz-Ruiz JC, Selva-Vera G, Vila-Francés J, Macias Saint-Gerons D, San-Martín C, Ayesa-Arriola R, Tabarés-Seisdedos R. MICEmi: A method to identify cognitive endophenotypes of mental illnesses. Eur Psychiatry 2022; 65:e85. [PMID: 36440538 PMCID: PMC9807453 DOI: 10.1192/j.eurpsy.2022.2348] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Characterizing neurocognitive endophenotypes of mental illnesses (MIs) could be useful for identifying at-risk individuals, increasing early diagnosis, improving disease subtyping, and proposing therapeutic strategies to reduce the negative effects of the symptoms, in addition to serving as a scientific basis to unravel the physiopathology of the disease. However, a standardized algorithm to determine cognitive endophenotypes has not yet been developed. The main objective of this study was to present a method for the identification of endophenotypes in MI research. METHODS For this purpose, a 14-expert working group used a scoping review methodology and designed a method that includes a scoring template with five criteria and indicators, a strategy for their verification, and a decision tree. CONCLUSIONS This work is ongoing since it is necessary to obtain external validation of the applicability of the method in future research.
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Affiliation(s)
- Patricia Correa-Ghisays
- Center for Biomedical Research in Mental Health Network (CIBERSAM), ISCIII, Madrid, Spain.,Department of Personality, Evaluation and Psychological Treatment, Faculty of Psychology, University of Valencia, Valencia, Spain.,INCLIVA Biomedical Research Institute, Valencia, Spain.,TMAP Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, Department of Medicine, University of Valencia, Valencia, Spain
| | - Joan Vicent Sánchez-Ortí
- Department of Personality, Evaluation and Psychological Treatment, Faculty of Psychology, University of Valencia, Valencia, Spain.,INCLIVA Biomedical Research Institute, Valencia, Spain.,TMAP Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, Department of Medicine, University of Valencia, Valencia, Spain
| | - Vicent Balanzá-Martínez
- Center for Biomedical Research in Mental Health Network (CIBERSAM), ISCIII, Madrid, Spain.,INCLIVA Biomedical Research Institute, Valencia, Spain.,TMAP Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, Department of Medicine, University of Valencia, Valencia, Spain.,Teaching Unit of Psychiatry and Psychological Medicine, Department of Medicine, University of Valencia, Valencia, Spain
| | - Inmaculada Fuentes-Durá
- Center for Biomedical Research in Mental Health Network (CIBERSAM), ISCIII, Madrid, Spain.,Department of Personality, Evaluation and Psychological Treatment, Faculty of Psychology, University of Valencia, Valencia, Spain.,INCLIVA Biomedical Research Institute, Valencia, Spain.,TMAP Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, Department of Medicine, University of Valencia, Valencia, Spain
| | - Anabel Martinez-Aran
- Center for Biomedical Research in Mental Health Network (CIBERSAM), ISCIII, Madrid, Spain.,Bipolar Disorders Unit, Neurosciences Institute, Hospital Clínic de Barcelona, IDIBAPS, Universitat de Barcelona, Catalonia, Spain
| | - Lara Ruiz-Bolo
- Department of Personality, Evaluation and Psychological Treatment, Faculty of Psychology, University of Valencia, Valencia, Spain
| | | | - Juan Carlos Ruiz-Ruiz
- Department of Personality, Evaluation and Psychological Treatment, Faculty of Psychology, University of Valencia, Valencia, Spain
| | - Gabriel Selva-Vera
- Center for Biomedical Research in Mental Health Network (CIBERSAM), ISCIII, Madrid, Spain.,INCLIVA Biomedical Research Institute, Valencia, Spain.,TMAP Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, Department of Medicine, University of Valencia, Valencia, Spain.,Teaching Unit of Psychiatry and Psychological Medicine, Department of Medicine, University of Valencia, Valencia, Spain
| | - Joan Vila-Francés
- Intelligent Data Analysis Laboratory (IDAL), University of Valencia, Spain
| | - Diego Macias Saint-Gerons
- Center for Biomedical Research in Mental Health Network (CIBERSAM), ISCIII, Madrid, Spain.,INCLIVA Biomedical Research Institute, Valencia, Spain.,TMAP Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, Department of Medicine, University of Valencia, Valencia, Spain
| | - Constanza San-Martín
- Center for Biomedical Research in Mental Health Network (CIBERSAM), ISCIII, Madrid, Spain.,INCLIVA Biomedical Research Institute, Valencia, Spain.,TMAP Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, Department of Medicine, University of Valencia, Valencia, Spain.,Department of Physiotherapy, University of Valencia, Valencia, Spain
| | - Rosa Ayesa-Arriola
- Department of Psychiatry, Marqués de Valdecilla University Hospital, IDIVAL, School of Medicine, University of Cantabria, Santander, Spain
| | - Rafael Tabarés-Seisdedos
- Center for Biomedical Research in Mental Health Network (CIBERSAM), ISCIII, Madrid, Spain.,INCLIVA Biomedical Research Institute, Valencia, Spain.,TMAP Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, Department of Medicine, University of Valencia, Valencia, Spain.,Teaching Unit of Psychiatry and Psychological Medicine, Department of Medicine, University of Valencia, Valencia, Spain
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Ko H, Park D, Shin J, Yu R, Ryu V, Lee W. Cognitive profiles in bipolar I disorder and associated risk factors: Using Wechsler adult intelligence scale—IV. Front Psychol 2022; 13:951043. [PMID: 36275296 PMCID: PMC9582973 DOI: 10.3389/fpsyg.2022.951043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Accepted: 09/16/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundDespite the growing evidence of cognitive impairments in bipolar disorder (BD), little work has evaluated cognitive performances utilizing the latest version of the Wechsler Intelligence Scale-IV (WAIS-IV), which is one of the most widely used neurocognitive assessments in clinical settings. Furthermore, clinical characteristics or demographic features that negatively affect the cognitive functioning of BD were not systematically compared or evaluated. Accordingly, the present study aimed to examine the cognitive profile of bipolar I disorder (BD-I) patients and associated risk factors.MethodsParticipants included 45 patients, diagnosed with BD-I, current or most recent episode manic, and matching 46 healthy controls (HC). Cognitive performance was evaluated via WAIS-IV, and clinical characteristics of the BD-I group were examined via multiple self- and clinician-report questionnaires.ResultsMultivariate analysis of covariance (MANCOVA) results indicated that the BD-I group demonstrated significantly poorer performance compared to the HC group in subtests and indexes that reflect working memory and processing speed abilities. Redundancy analysis revealed that overall symptom severity, manic symptom severity, and anxiety were significant predictors of cognitive performance in BD-I, while age of onset, past mood disorder history, depression severity, and impulsiveness showed comparatively smaller predictive values.ConclusionThe current study suggests cognitive deterioration in the cognitive proficiency area while generalized ability, including verbal comprehension and most of the perceptual reasoning skills, remain intact in BD-I. The identified risk factors of cognitive performance provide specific clinical recommendations for intervention and clinical decision-making.
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Affiliation(s)
- Hayoung Ko
- Department of Psychology, Virginia Polytechnic Institute and State University, Blacksburg, VA, United States
| | - DongYeon Park
- Department of Psychiatry, National Center for Mental Health, Seoul, South Korea
| | - Jaehyun Shin
- School of Education, Virginia Polytechnic Institute and State University, Blacksburg, VA, United States
| | - Rina Yu
- Department of Mental Health Research, National Center for Mental Health, Seoul, South Korea
| | - Vin Ryu
- Department of Psychiatry, National Center for Mental Health, Seoul, South Korea
| | - Wonhye Lee
- Department of Clinical Psychology, National Center for Mental Health, Seoul, South Korea
- *Correspondence: Wonhye Lee,
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26
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Abstract
OBJECTIVE High prevalence of insulin resistance (IR) has been reported in bipolar disorder (BD) patients. Importantly, impaired insulin sensitivity could modulate the course and treatment outcome in BD. Here, we hypothesized that insulin sensitivity could be potentially associated with the neurocognitive trajectory in euthymic BD. We aimed to examine differences in insulin sensitivity and executive function between BD patients and controls. METHODS Sixty-two patients with BD receiving mood stabilizer treatment and 62 controls, matching age, sex, and body mass index, were recruited in this study. Insulin sensitivity was estimated using the homeostasis model assessment of insulin resistance (HOMA-IR). The Wisconsin card-sorting test (WCST) was applied to test participants' ability to shift cognitive set. Group differences were measured and multivariate regression analysis was performed to examine relationships among factors. RESULTS The results indicated that the HOMA-IR (P = .048) value in the patients with BD were significantly higher than those in controls. With regards to executive function, the BD patients performed significantly poorer than the control subjects (P < .05). Moreover, the interaction effect between BD diagnosis and HOMA-IR value on the WCST-preservation errors was significant (P = .01), and post-hoc analyses showed that the cognitive abilities were worse in the BD patients with a higher IR than in the others groups. CONCLUSION Insulin sensitivity is associated with the neurocognitive performance in euthymic BD patients. Although the underlying mechanisms remain unclear, interventions to improve insulin sensitivity could potentially improve the functional outcome of BD.
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Aging in bipolar disorder: Cognitive performance and clinical factors based on an adulthood-lifespan perspective. J Affect Disord 2022; 312:292-302. [PMID: 35752219 DOI: 10.1016/j.jad.2022.06.030] [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: 03/25/2022] [Revised: 06/13/2022] [Accepted: 06/17/2022] [Indexed: 11/20/2022]
Abstract
BACKGROUND The evolution of cognitive performance throughout the lifespan in bipolar disorder (BD) is understudied. This cross-sectional study aims to describe the cognitive performance across age groups. METHODS A sample of 654 participants was recruited for this study (BD = 432 and healthy controls -HC- =222). Three subgroups, divided according to age range (18 to 35, 36 to 49, and ≥50 years old) were analyzed after administering a comprehensive neuropsychological battery including six cognitive domains. Demographic, clinical, and psychosocial functioning data were also analyzed. Generalized linear models (GLM) with age, diagnostic group, and age × group as main effects were carried out to examine their potential association on cognitive domains. Subsequently, a GLM in the BD sample was conducted to analyze interactions of several clinical variables by age on each cognitive domain. RESULTS Main effects of diagnostic group and age were found in all cognitive domains. Significant group × age effect interaction was found for attention domain (p = 0.02) demonstrating a worse cognitive evolution across age in BD, driven by older age, but not in HC. Significant interaction effects of higher number of manic episodes and older age were also found in attention and verbal memory. Older age was also associated with a longer duration of illness, higher number of episodes, more somatic comorbidities, and poorer psychosocial functioning. CONCLUSIONS These results suggest that older age was associated with a selective cognitive decline in BD in the attentional domain. These findings highlight the importance of developing interventions targeting cognitive dysfunction throughout the BD adulthood lifespan.
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Differential trajectory of cognitive functions in neurocognitive subgroups of newly diagnosed patients with bipolar disorder and their unaffected first-degree relatives - A longitudinal study. J Affect Disord 2022; 311:115-125. [PMID: 35577157 DOI: 10.1016/j.jad.2022.05.045] [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: 10/24/2021] [Revised: 03/28/2022] [Accepted: 05/08/2022] [Indexed: 11/21/2022]
Abstract
BACKGROUND Cognitive impairments exist in a large proportion of remitted patients with bipolar disorder (BD). However, no study has investigated the cognitive trajectories across neurocognitive subgroups of patients or their unaffected first-degree relatives (UR). METHODS Newly diagnosed BD patients, UR and healthy controls (HC) underwent comprehensive cognitive testing at baseline and at 16-months follow-up. Hierarchical cluster analysis was conducted to identify homogeneous subgroups of patients based on their neurocognitive profile at baseline. Cognitive change across subgroups of patients and UR was assessed with linear mixed-model analyses. RESULTS Data from baseline and follow-up were collected from 152 patients, 53 UR and 135 HC. Patients were clustered into three discrete neurocognitive subgroups: 'cognitively normal' (43%), 'mild-moderately impaired' (33%) and 'globally impaired' (24%). While 'mild-moderately impaired' patients and HC showed normative cognitive improvement over time in global cognition (p < .001), 'globally impaired' patients showed greater improvement than all groups (p < .001), whereas 'cognitively normal' patients showed a lack of normative improvement (p = .17). UR of impaired patients showed a lack of normative improvement in executive functions (p = .01). 'Globally impaired' patients also presented with stable impairments in facial expression recognition and emotion regulation. LIMITATIONS Follow-up data was available for 62% of participants, possibly reflecting a selection bias. CONCLUSIONS The greater cognitive improvement in 'globally impaired' patients partly speaks against neuroprogression. However, the lack of normative improvement in 'cognitively normal' patients could indicate negative effects of illness. Further follow-up assessments are warranted to clarify whether lack of normative improvement in executive function in UR represents an illness risk-marker.
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29
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Rabelo-da-Ponte FD, Lima FM, Martinez-Aran A, Kapczinski F, Vieta E, Rosa AR, Kunz M, Czepielewski LS. Data-driven cognitive phenotypes in subjects with bipolar disorder and their clinical markers of severity. Psychol Med 2022; 52:1728-1735. [PMID: 33050962 DOI: 10.1017/s0033291720003499] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
BACKGROUND Subjects with bipolar disorder (BD) show heterogeneous cognitive profile and that not necessarily the disease will lead to unfavorable clinical outcomes. We aimed to identify clinical markers of severity among cognitive clusters in individuals with BD through data-driven methods. METHODS We recruited 167 outpatients with BD and 100 unaffected volunteers from Brazil and Spain that underwent a neuropsychological assessment. Cognitive functions assessed were inhibitory control, processing speed, cognitive flexibility, verbal fluency, working memory, short- and long-term verbal memory. We performed hierarchical cluster analysis and discriminant function analysis to determine and confirm cognitive clusters, respectively. Then, we used classification and regression tree (CART) algorithm to determine clinical and sociodemographic variables of the previously defined cognitive clusters. RESULTS We identified three neuropsychological subgroups in individuals with BD: intact (35.3%), selectively impaired (34.7%), and severely impaired individuals (29.9%). The most important predictors of cognitive subgroups were years of education, the number of hospitalizations, and age, respectively. The model with CART algorithm showed sensitivity 45.8%, specificity 78.4%, balanced accuracy 62.1%, and the area under the ROC curve was 0.61. Of 10 attributes included in the model, only three variables were able to separate cognitive clusters in BD individuals: years of education, number of hospitalizations, and age. CONCLUSION These results corroborate with recent findings of neuropsychological heterogeneity in BD, and suggest an overlapping between premorbid and morbid aspects that influence distinct cognitive courses of the disease.
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Affiliation(s)
- Francisco Diego Rabelo-da-Ponte
- Molecular Psychiatry Laboratory, Hospital de Clinicas de Porto Alegre, Programa de Pós-Graduação em Psiquiatria e Ciências do Comportamento, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Flavia Moreira Lima
- Molecular Psychiatry Laboratory, Hospital de Clinicas de Porto Alegre, Programa de Pós-Graduação em Psiquiatria e Ciências do Comportamento, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Anabel Martinez-Aran
- Clinical Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Spain
| | - Flávio Kapczinski
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada
| | - Eduard Vieta
- Clinical Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Spain
| | - Adriane Ribeiro Rosa
- Molecular Psychiatry Laboratory, Hospital de Clinicas de Porto Alegre, Programa de Pós-Graduação em Psiquiatria e Ciências do Comportamento, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- Departamento de Farmacologia, Programa de Pós-Graduação em Farmacologia e Terapêutica, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Maurício Kunz
- Molecular Psychiatry Laboratory, Hospital de Clinicas de Porto Alegre, Programa de Pós-Graduação em Psiquiatria e Ciências do Comportamento, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Leticia Sanguinetti Czepielewski
- Molecular Psychiatry Laboratory, Hospital de Clinicas de Porto Alegre, Programa de Pós-Graduação em Psiquiatria e Ciências do Comportamento, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- Programa de Pós-Graduação em Psicologia, Departamento de Psicologia do Desenvolvimento e da Personalidade, Instituto de Psicologia, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
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Yamaguchi A, Iwamoto K, Ando M, Fujita K, Yokoyama M, Akiyama T, Igarashi Y, Ozaki N. Driving performance of euthymic outpatients with bipolar disorder undergoing real-world pharmacotherapy. Psychiatry Clin Neurosci 2022; 76:172-178. [PMID: 35037335 DOI: 10.1111/pcn.13332] [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: 09/27/2021] [Revised: 11/12/2021] [Accepted: 12/27/2021] [Indexed: 11/28/2022]
Abstract
OBJECTIVE Medications for the treatment of bipolar disorder (BD) could affect patients' cognitive function. Patients with BD present with neurocognitive impairment even in a remission state. Little research is available on the daily functioning, especially driving performance, of stable outpatients with BD under pharmacological treatment. METHODS In total, 58 euthymic outpatients with BD undergoing real-world pharmacotherapy and 80 sex- and age-matched healthy controls (HCs) were enrolled. Three driving tasks using a driving simulator-road-tracking, car-following, and harsh-braking-and three cognitive tasks-Continuous Performance Test, Wisconsin Card Sorting Test, and Trail-Making Test-were evaluated. Symptom assessment scales-Young Mania Rating Scale, Structured Interview Guide for the Hamilton Depression Rating Scale, Beck Depression Inventory-II, Social Adaptation Self-evaluation Scale, and Stanford Sleepiness Scale-were also completed. RESULTS Car-following and road-tracking performance were significantly impaired in patients with BD compared with HCs after adjusting for demographic variables, but these performances generally overlapped. Broad neurocognitive functions were significantly lower in the patients with BD compared to HCs, but car-following performance was significantly negatively correlated with sustained attention only. Although most patients received multiple medications rather than monotherapy, no relationship between prescriptions and driving performance was found. CONCLUSION Euthymic patients with BD under steady-state pharmacotherapy had impaired driving performance compared with HCs, but the overlapping distributions of driving performance suggested that driving performance is not always deteriorated in patients with BD. Therefore, attentional function may be a useful clinical feature for judging driving aptitude in patients with BD.
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Affiliation(s)
- Akiko Yamaguchi
- Department of Psychiatry, Nagoya University, Graduate School of Medicine, Nagoya, Japan
| | - Kunihiro Iwamoto
- Department of Psychiatry, Nagoya University, Graduate School of Medicine, Nagoya, Japan
| | - Masahiko Ando
- Department of Advanced Medicine, Nagoya University Hospital, Nagoya, Japan
| | - Kiyoshi Fujita
- Department of Psychiatry, Okehazama Hospital, Toyoake, Japan
| | | | - Tsuyoshi Akiyama
- Department of Neuropsychiatry, NTT Medical Center Tokyo, Tokyo, Japan
| | | | - Norio Ozaki
- Department of Psychiatry, Nagoya University, Graduate School of Medicine, Nagoya, Japan
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31
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Abé C, Ching CRK, Liberg B, Lebedev AV, Agartz I, Akudjedu TN, Alda M, Alnæs D, Alonso-Lana S, Benedetti F, Berk M, Bøen E, Bonnin CDM, Breuer F, Brosch K, Brouwer RM, Canales-Rodríguez EJ, Cannon DM, Chye Y, Dahl A, Dandash O, Dannlowski U, Dohm K, Elvsåshagen T, Fisch L, Fullerton JM, Goikolea JM, Grotegerd D, Haatveit B, Hahn T, Hajek T, Heindel W, Ingvar M, Sim K, Kircher TTJ, Lenroot RK, Malt UF, McDonald C, McWhinney SR, Melle I, Meller T, Melloni EMT, Mitchell PB, Nabulsi L, Nenadić I, Opel N, Overs BJ, Panicalli F, Pfarr JK, Poletti S, Pomarol-Clotet E, Radua J, Repple J, Ringwald KG, Roberts G, Rodriguez-Cano E, Salvador R, Sarink K, Sarró S, Schmitt S, Stein F, Suo C, Thomopoulos SI, Tronchin G, Vieta E, Westlye LT, White AG, Yatham LN, Zak N, Thompson PM, Andreassen OA, Landén M. Longitudinal Structural Brain Changes in Bipolar Disorder: A Multicenter Neuroimaging Study of 1232 Individuals by the ENIGMA Bipolar Disorder Working Group. Biol Psychiatry 2022; 91:582-592. [PMID: 34809987 DOI: 10.1016/j.biopsych.2021.09.008] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 08/24/2021] [Accepted: 09/10/2021] [Indexed: 11/18/2022]
Abstract
BACKGROUND Bipolar disorder (BD) is associated with cortical and subcortical structural brain abnormalities. It is unclear whether such alterations progressively change over time, and how this is related to the number of mood episodes. To address this question, we analyzed a large and diverse international sample with longitudinal magnetic resonance imaging (MRI) and clinical data to examine structural brain changes over time in BD. METHODS Longitudinal structural MRI and clinical data from the ENIGMA (Enhancing Neuro Imaging Genetics through Meta Analysis) BD Working Group, including 307 patients with BD and 925 healthy control subjects, were collected from 14 sites worldwide. Male and female participants, aged 40 ± 17 years, underwent MRI at 2 time points. Cortical thickness, surface area, and subcortical volumes were estimated using FreeSurfer. Annualized change rates for each imaging phenotype were compared between patients with BD and healthy control subjects. Within patients, we related brain change rates to the number of mood episodes between time points and tested for effects of demographic and clinical variables. RESULTS Compared with healthy control subjects, patients with BD showed faster enlargement of ventricular volumes and slower thinning of the fusiform and parahippocampal cortex (0.18 <d < 0.22). More (hypo)manic episodes were associated with faster cortical thinning, primarily in the prefrontal cortex. CONCLUSIONS In the hitherto largest longitudinal MRI study on BD, we did not detect accelerated cortical thinning but noted faster ventricular enlargements in BD. However, abnormal frontocortical thinning was observed in association with frequent manic episodes. Our study yields insights into disease progression in BD and highlights the importance of mania prevention in BD treatment.
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Affiliation(s)
- Christoph Abé
- Department of Clinical Neuroscience, Osher Center, Karolinska Institutet, Stockholm, Sweden.
| | - Christopher R K Ching
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging and Informatics, University of Southern California, Los Angeles, California
| | - Benny Liberg
- Department of Clinical Neuroscience, Osher Center, Karolinska Institutet, Stockholm, Sweden
| | - Alexander V Lebedev
- Department of Clinical Neuroscience, Osher Center, Karolinska Institutet, Stockholm, Sweden
| | - Ingrid Agartz
- Department of Clinical Neuroscience, Centre for Psychiatric Research, Karolinska Institutet, Stockholm, Sweden; Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway; KG Jebsen Centre for Neurodevelopmental Disorders, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
| | - Theophilus N Akudjedu
- Institute of Medical Imaging and Visualisation, Bournemouth University, Bournemouth, United Kingdom; Centre for Neuroimaging and Cognitive Genomics, Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine, Nursing, and Health Sciences, National University of Ireland, Galway, Ireland
| | - Martin Alda
- Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia; National Institute of Mental Health, Klecany, Czech Republic
| | - Dag Alnæs
- Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway; Bjørknes College, Oslo, Norway
| | - Silvia Alonso-Lana
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental, Barcelona, Spain
| | - Francesco Benedetti
- Psychiatry and Clinical Psychobiology Unit, Division of Neuroscience, IRCCS Ospedale San Raffaele, Milano, Italy; University Vita-Salute San Raffaele, Milano, Italy; Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Michael Berk
- Orygen, the National Centre of Excellence in Youth Mental Health, Centre for Youth Mental Health, Florey Institute for Neuroscience and Mental Health and the Department of Psychiatry, the University of Melbourne, Melbourne, Victoria, Australia; Department of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia; Deakin University, the Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Geelong, Victoria, Australia
| | - Erlend Bøen
- Unit of Psychosomatic and CL Psychiatry, Oslo University Hospital, Oslo, Norway
| | - Caterina Del Mar Bonnin
- Centro de Investigación Biomédica en Red de Salud Mental, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain; Barcelona Bipolar Disorders and Depressive Unit, Hospital Clínic, Institute of Neurosciences, Barcelona, Spain; University of Barcelona, Barcelona, Spain
| | - Fabian Breuer
- Psychiatry and Clinical Psychobiology Unit, Division of Neuroscience, IRCCS Ospedale San Raffaele, Milano, Italy; University Vita-Salute San Raffaele, Milano, Italy; Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Katharina Brosch
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany; Center for Mind, Brain and Behavior, University of Marburg and Justus Liebig, University of Giessen, Giessen, Germany
| | - Rachel M Brouwer
- Department of Psychiatry, University Medical Center Utrecht Brain Center, Utrecht University, Utrecht, the Netherlands; Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Erick J Canales-Rodríguez
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental, Barcelona, Spain; Signal Processing Laboratory, École polytechnique fédérale de Lausanne, Lausanne, Switzerland
| | - Dara M Cannon
- Centre for Neuroimaging and Cognitive Genomics, Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine, Nursing, and Health Sciences, National University of Ireland, Galway, Ireland
| | - Yann Chye
- Turner Institute for Brain and Mental Health, School of Psychological Science and Monash Biomedical Imaging Facility, Monash University, Melbourne, Victoria, Australia
| | - Andreas Dahl
- Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway; Department of Psychology, University of Oslo, Oslo, Norway
| | - Orwa Dandash
- Department of Psychiatry, The University of Melbourne, Melbourne, Victoria, Australia
| | - Udo Dannlowski
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Katharina Dohm
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Torbjørn Elvsåshagen
- Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway; Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway; Department of Neurology, Division of Clinical Neuroscience, Oslo University Hospital, Oslo, Norway
| | - Lukas Fisch
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Janice M Fullerton
- School of Medical Sciences, University of New South Wales, Sydney, New South Wales, Australia; Neuroscience Research Australia, Sydney, New South Wales, Australia
| | - Jose M Goikolea
- Centro de Investigación Biomédica en Red de Salud Mental, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain; Barcelona Bipolar Disorders and Depressive Unit, Hospital Clínic, Institute of Neurosciences, Barcelona, Spain; University of Barcelona, Barcelona, Spain
| | - Dominik Grotegerd
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Beathe Haatveit
- Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway; Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Tim Hahn
- Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia; National Institute of Mental Health, Klecany, Czech Republic; Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Tomas Hajek
- Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia; National Institute of Mental Health, Klecany, Czech Republic; Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Walter Heindel
- Clinic for Radiology, University of Münster, Münster, Germany
| | - Martin Ingvar
- Department of Clinical Neuroscience, Osher Center, Karolinska Institutet, Stockholm, Sweden; Karolinska University Hospital, Department of Neuroradiology, Stockholm, Sweden
| | - Kang Sim
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore; West Region, Institute of Mental Health, Singapore, Singapore; Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Tilo T J Kircher
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany; Center for Mind, Brain and Behavior, University of Marburg and Justus Liebig, University of Giessen, Giessen, Germany
| | | | - Ulrik F Malt
- Department of Neurology, Oslo University Hospital, Oslo, Norway; Department of Psychiatry and Addiction, Section for C-L Psychiatry and Psychosomatics, Oslo University Hospital, Oslo, Norway
| | - Colm McDonald
- Centre for Neuroimaging and Cognitive Genomics, Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine, Nursing, and Health Sciences, National University of Ireland, Galway, Ireland
| | - Sean R McWhinney
- Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia
| | - Ingrid Melle
- Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway; Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Tina Meller
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany; Center for Mind, Brain and Behavior, University of Marburg and Justus Liebig, University of Giessen, Giessen, Germany
| | - Elisa M T Melloni
- Psychiatry and Clinical Psychobiology Unit, Division of Neuroscience, IRCCS Ospedale San Raffaele, Milano, Italy; University Vita-Salute San Raffaele, Milano, Italy
| | - Philip B Mitchell
- School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia
| | - Leila Nabulsi
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging and Informatics, University of Southern California, Los Angeles, California; Centre for Neuroimaging and Cognitive Genomics, Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine, Nursing, and Health Sciences, National University of Ireland, Galway, Ireland
| | - Igor Nenadić
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany; Center for Mind, Brain and Behavior, University of Marburg and Justus Liebig, University of Giessen, Giessen, Germany
| | - Nils Opel
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Bronwyn J Overs
- Neuroscience Research Australia, Sydney, New South Wales, Australia
| | - Francesco Panicalli
- Hospital general de Granollers, Barcelona, Spain; Benito Menni CASM, Barcelona, Spain
| | - Julia-Katharina Pfarr
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany; Center for Mind, Brain and Behavior, University of Marburg and Justus Liebig, University of Giessen, Giessen, Germany
| | - Sara Poletti
- Psychiatry and Clinical Psychobiology Unit, Division of Neuroscience, IRCCS Ospedale San Raffaele, Milano, Italy
| | - Edith Pomarol-Clotet
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental, Barcelona, Spain
| | - Joaquim Radua
- Center for Psychiatric Research, Department of Clinical Neuroscience, Karolinska Institutet and Stockholm Health Care Services, Stockholm County Council, Stockholm, Sweden; Early Psychosis: Interventions and Clinical-detection lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom; Centro de Investigación Biomédica en Red de Salud Mental, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain; Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Jonathan Repple
- Center for Psychiatric Research, Department of Clinical Neuroscience, Karolinska Institutet and Stockholm Health Care Services, Stockholm County Council, Stockholm, Sweden; Early Psychosis: Interventions and Clinical-detection lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom; Centro de Investigación Biomédica en Red de Salud Mental, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain; Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Kai G Ringwald
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany; Center for Mind, Brain and Behavior, University of Marburg and Justus Liebig, University of Giessen, Giessen, Germany
| | - Gloria Roberts
- School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia
| | - Elena Rodriguez-Cano
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain; Benito Menni CASM, Barcelona, Spain
| | - Raymond Salvador
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental, Barcelona, Spain
| | - Kelvin Sarink
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore; West Region, Institute of Mental Health, Singapore, Singapore; Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Salvador Sarró
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental, Barcelona, Spain; Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany; Center for Mind, Brain and Behavior, University of Marburg and Justus Liebig, University of Giessen, Giessen, Germany
| | - Simon Schmitt
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental, Barcelona, Spain; Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany; Center for Mind, Brain and Behavior, University of Marburg and Justus Liebig, University of Giessen, Giessen, Germany; Department of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, Hannover, Germany
| | - Frederike Stein
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany; Center for Mind, Brain and Behavior, University of Marburg and Justus Liebig, University of Giessen, Giessen, Germany
| | - Chao Suo
- Turner Institute for Brain and Mental Health, School of Psychological Science and Monash Biomedical Imaging Facility, Monash University, Melbourne, Victoria, Australia
| | - Sophia I Thomopoulos
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging and Informatics, University of Southern California, Los Angeles, California
| | - Giulia Tronchin
- Centre for Neuroimaging and Cognitive Genomics, Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine, Nursing, and Health Sciences, National University of Ireland, Galway, Ireland
| | - Eduard Vieta
- Centro de Investigación Biomédica en Red de Salud Mental, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain; Barcelona Bipolar Disorders and Depressive Unit, Hospital Clínic, Institute of Neurosciences, Barcelona, Spain; University of Barcelona, Barcelona, Spain
| | - Lars T Westlye
- Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway; KG Jebsen Centre for Neurodevelopmental Disorders, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway; Department of Psychology, University of Oslo, Oslo, Norway
| | - Adam G White
- Djavad Mowafaghian Centre for Brain Health, Vancouver, British Columbia, Canada
| | - Lakshmi N Yatham
- Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada
| | - Nathalia Zak
- Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Paul M Thompson
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging and Informatics, University of Southern California, Los Angeles, California
| | - Ole A Andreassen
- KG Jebsen Centre for Neurodevelopmental Disorders, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Mikael Landén
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden; Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
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Combined influence of medication and symptom severity on visual processing in bipolar disorder. J Psychiatr Res 2022; 147:135-141. [PMID: 35032946 DOI: 10.1016/j.jpsychires.2022.01.010] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2021] [Revised: 12/18/2021] [Accepted: 01/03/2022] [Indexed: 12/16/2022]
Abstract
Previous studies have reported visual impairments in patients with bipolar disorder (BPD), but unclear were whether clinical variables would be associated with those disturbances. Here, we investigate the relationship between visual functioning, in terms of color discrimination, and the impact of BPD duration, mood state, and the patients' medication. Forty-five participants (25-45 years old) were recruited for this study. Color discrimination was performed using the Cambridge Colour Test. Serial multiple mediations were run to investigate the assumption of association between color discrimination and the clinical variables. Our findings showed that, compared with healthy controls, BPD patients' performance was worse for the Protan, Deutan, and Tritan vectors, revealing deterioration of color discrimination. In addition, the mediation analyses revealed a strong direct (p < .001) and moderate-to-high indirect effects (p < .01) of medication and symptom severity on color discrimination. Overall, both longer the duration of the disease and greater the symptom severity of BPD patients resulted in worse performance. It highlights the importance of examining the wider clinical context of an affective disorder to understand how it affects visual processing in this population.
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Montejo L, Torrent C, Jiménez E, Martínez-Arán A, Blumberg HP, Burdick KE, Chen P, Dols A, Eyler LT, Forester BP, Gatchel JR, Gildengers A, Kessing LV, Miskowiak KW, Olagunju AT, Patrick RE, Schouws S, Radua J, Bonnín CDM, Vieta E. Cognition in older adults with bipolar disorder: An ISBD task force systematic review and meta-analysis based on a comprehensive neuropsychological assessment. Bipolar Disord 2022; 24:115-136. [PMID: 34978124 DOI: 10.1111/bdi.13175] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
OBJECTIVES We aim to characterize the cognitive performance in euthymic older adults with bipolar disorder (OABD) through a comprehensive neuropsychological assessment to obtain a detailed neuropsychological profile. METHODS We conducted a systematic search in MEDLINE/Pubmed, Cochrane, and PsycInfo databases. Original studies assessing cognitive function in OABD (age ≥50 years ) containing, at a minimum, the domains of attention/processing speed, memory, and executive functions were included. A random-effects meta-analysis was conducted to summarize differences between patients and matched controls in each cognitive domain. We also conducted meta-regressions to estimate the impact of clinical and socio-demographic variables on these differences. RESULTS Eight articles, providing data for 328 euthymic OABD patients and 302 healthy controls, were included in the meta-analysis. OABD showed worse performance in comparison with healthy controls, with large significant effect sizes (Hedge's g from -0.77 to -0.89; p < 0.001) in verbal learning and verbal and visual delayed memory. They also displayed statistically significant deficits, with moderate effect size, in processing speed, working memory, immediate memory, cognitive flexibility, verbal fluency, psychomotor function, executive functions, attention, inhibition, and recognition (Hedge's g from -0.52 to -0.76; p < 0.001), but not in language and visuoconstruction domains. None of the examined variables were associated with these deficits. CONCLUSIONS Cognitive dysfunction is present in OABD, with important deficits in almost all cognitive domains, especially in the memory domain. Our results highlight the importance of including a routine complete neuropsychological assessment in OABD and also considering therapeutic strategies in OABD.
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Affiliation(s)
- Laura Montejo
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic of Barcelona, IDIBAPS, CIBERSAM, University of Barcelona, Barcelona, Catalonia, Spain
| | - Carla Torrent
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic of Barcelona, IDIBAPS, CIBERSAM, University of Barcelona, Barcelona, Catalonia, Spain
| | - Esther Jiménez
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic of Barcelona, IDIBAPS, CIBERSAM, University of Barcelona, Barcelona, Catalonia, Spain
| | - Anabel Martínez-Arán
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic of Barcelona, IDIBAPS, CIBERSAM, University of Barcelona, Barcelona, Catalonia, Spain
| | - Hilary P Blumberg
- Mood Disorders Research Program, Yale School of Medicine, New Haven, Connecticut, USA
| | - Katherine E Burdick
- Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Peijun Chen
- Section of Geriatric Psychiatry, Department of Psychiatry & VISN10 Geriatric Research, Education and Clinical Center, VA Northeast Ohio Healthcare System Cleveland VA Medical Center, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
| | - Annemieke Dols
- GGZ inGeest, Department of Psychiatry, Amsterdam UMC, location VU Medical Center, Amsterdam Neuroscience, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - Lisa T Eyler
- Department of Psychiatry, University of California, San Diego, California, USA
- Desert-Pacific Mental Illness Research, Education and Clinical Center, VA San Diego Healthcare System, San Diego, California, USA
| | - Brent P Forester
- Division of Geriatric Psychiatry, McLean Hospital, Belmont, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Jennifer R Gatchel
- Division of Geriatric Psychiatry, McLean Hospital, Belmont, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Ariel Gildengers
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Lars V Kessing
- Copenhagen Affective Disorder research Center (CADIC), Psychiatric Center Copenhagen, Copenhagen, Denmark
| | - Kamilla W Miskowiak
- Copenhagen Affective Disorder research Center (CADIC), Psychiatric Center Copenhagen, Copenhagen, Denmark
- Department of Psychology, University of Copenhagen, Copenhagen, Denmark
| | - Andrew T Olagunju
- Department of Psychiatry and Behavioral Neurosciences, McMaster University/St Joseph's Healthcare Hamilton, Hamilton, Ontario, Canada
| | - Regan E Patrick
- Division of Geriatric Psychiatry, McLean Hospital, Belmont, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Sigfried Schouws
- GGZ inGeest, Department of Psychiatry, Amsterdam UMC, location VU Medical Center, Amsterdam Neuroscience, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - Joaquim Radua
- Imaging of Mood- and Anxiety-Related Disorders (IMARD) Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- CIBERSAM, Madrid, Spain
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Department of Clinical Neuroscience, Stockholm Health Care Services, Stockholm County Council, Karolinska Institutet, Stockholm, Sweden
| | - Caterina Del M Bonnín
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic of Barcelona, IDIBAPS, CIBERSAM, University of Barcelona, Barcelona, Catalonia, Spain
| | - Eduard Vieta
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic of Barcelona, IDIBAPS, CIBERSAM, University of Barcelona, Barcelona, Catalonia, Spain
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Madireddy S, Madireddy S. Therapeutic Interventions to Mitigate Mitochondrial Dysfunction and Oxidative Stress–Induced Damage in Patients with Bipolar Disorder. Int J Mol Sci 2022; 23:ijms23031844. [PMID: 35163764 PMCID: PMC8836876 DOI: 10.3390/ijms23031844] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2021] [Revised: 12/26/2021] [Accepted: 12/30/2021] [Indexed: 01/10/2023] Open
Abstract
Bipolar disorder (BD) is characterized by mood changes, including recurrent manic, hypomanic, and depressive episodes, which may involve mixed symptoms. Despite the progress in neurobiological research, the pathophysiology of BD has not been extensively described to date. Progress in the understanding of the neurobiology driving BD could help facilitate the discovery of therapeutic targets and biomarkers for its early detection. Oxidative stress (OS), which damages biomolecules and causes mitochondrial and dopamine system dysfunctions, is a persistent finding in patients with BD. Inflammation and immune dysfunction might also play a role in BD pathophysiology. Specific nutrient supplements (nutraceuticals) may target neurobiological pathways suggested to be perturbed in BD, such as inflammation, mitochondrial dysfunction, and OS. Consequently, nutraceuticals may be used in the adjunctive treatment of BD. This paper summarizes the possible roles of OS, mitochondrial dysfunction, and immune system dysregulation in the onset of BD. It then discusses OS-mitigating strategies that may serve as therapeutic interventions for BD. It also analyzes the relationship between diet and BD as well as the use of nutritional interventions in the treatment of BD. In addition, it addresses the use of lithium therapy; novel antipsychotic agents, including clozapine, olanzapine, risperidone, cariprazine, and quetiapine; and anti-inflammatory agents to treat BD. Furthermore, it reviews the efficacy of the most used therapies for BD, such as cognitive–behavioral therapy, bright light therapy, imagery-focused cognitive therapy, and electroconvulsive therapy. A better understanding of the roles of OS, mitochondrial dysfunction, and inflammation in the pathogenesis of bipolar disorder, along with a stronger elucidation of the therapeutic functions of antioxidants, antipsychotics, anti-inflammatory agents, lithium therapy, and light therapies, may lead to improved strategies for the treatment and prevention of bipolar disorder.
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Affiliation(s)
- Sahithi Madireddy
- Massachusetts Institute of Technology, Cambridge, MA 02139, USA
- Correspondence:
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Montejo L, Jiménez E, Solé B, Murru A, Arbelo N, Benabarre A, Valentí M, Clougher D, Rodríguez MA, Borràs R, Martínez-Arán A, Vieta E, Bonnín CDM, Torrent C. Identifying neurocognitive heterogeneity in Older Adults with Bipolar Disorder: a cluster analysis. J Affect Disord 2022; 298:522-531. [PMID: 34788686 DOI: 10.1016/j.jad.2021.11.028] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Revised: 11/09/2021] [Accepted: 11/12/2021] [Indexed: 12/31/2022]
Abstract
BACKGROUND Cognitive profiles of BD patients show a demonstrated heterogeneity among young and middle-aged patients, but this issue has not yet deeply explored in Older Adults with bipolar disorder (OABD). The aim of the present study was to analyze cognitive variability in a sample of OABD. METHODS A total of 138 OABD patients and 73 healthy controls were included in this study. A comprehensive neuropsychological assessment was administered. We performed a k-means cluster analysis method based on the neurocognitive performance to detect heterogeneous subgroups. Demographic, clinical, cognitive and functional variables were compared. Finally, univariate logistic regressions were conducted to detect variables associated with the severity of the cognitive impairment. RESULTS We identified three distinct clusters based on the severity of cognitive impairment: (1) a preserved group (n = 58; 42%) with similar cognitive performance to HC, (2) a group showing mild cognitive deficits in all cognitive domains (n = 64; 46%) and, finally, (3) a group exhibiting severe cognitive impairment (n = 16; 12%). Older age, late onset, higher number of psychiatric admissions and lower psychosocial functioning were associated with the greatest cognitive impairment. Lower age, more years of education and higher estimated IQ were associated with a preserve cognitive functioning. LIMITATIONS The small sample size of the severely impaired group. CONCLUSIONS Cognitive heterogeneity remains at late-life bipolar disorder. Demographic and specific illness factors are related to cognitive dysfunction. Detecting distinct cognitive subgroups may have significant clinical implications for tailoring specific intervention strategies adapted to the level of the impairment and also to prevent cognitive decline.
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Affiliation(s)
- Laura Montejo
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic of Barcelona, IDIBAPS, CIBERSAM, University of Barcelona, Barcelona, Catalonia, Spain
| | - Esther Jiménez
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic of Barcelona, IDIBAPS, CIBERSAM, University of Barcelona, Barcelona, Catalonia, Spain
| | - Brisa Solé
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic of Barcelona, IDIBAPS, CIBERSAM, University of Barcelona, Barcelona, Catalonia, Spain
| | - Andrea Murru
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic of Barcelona, IDIBAPS, CIBERSAM, University of Barcelona, Barcelona, Catalonia, Spain
| | - Néstor Arbelo
- Barcelona Clínic Schizophrenia Unit, Hospital Clínic of Barcelona, Department of Medicine, Neuroscience Institute, Barcelona, Catalonia, Spain
| | - Antonio Benabarre
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic of Barcelona, IDIBAPS, CIBERSAM, University of Barcelona, Barcelona, Catalonia, Spain
| | - Marc Valentí
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic of Barcelona, IDIBAPS, CIBERSAM, University of Barcelona, Barcelona, Catalonia, Spain
| | - Derek Clougher
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic of Barcelona, IDIBAPS, CIBERSAM, University of Barcelona, Barcelona, Catalonia, Spain
| | - Manuel Arturo Rodríguez
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic of Barcelona, IDIBAPS, CIBERSAM, University of Barcelona, Barcelona, Catalonia, Spain
| | - Roger Borràs
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Spain
| | - Anabel Martínez-Arán
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic of Barcelona, IDIBAPS, CIBERSAM, University of Barcelona, Barcelona, Catalonia, Spain.
| | - Eduard Vieta
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic of Barcelona, IDIBAPS, CIBERSAM, University of Barcelona, Barcelona, Catalonia, Spain.
| | - Caterina Del Mar Bonnín
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic of Barcelona, IDIBAPS, CIBERSAM, University of Barcelona, Barcelona, Catalonia, Spain; Psychiatry Department, Institut d'Investigació Biomèdica-Sant Pau (IIB-SANT PAU), Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
| | - Carla Torrent
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic of Barcelona, IDIBAPS, CIBERSAM, University of Barcelona, Barcelona, Catalonia, Spain
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Digiovanni A, Ajdinaj P, Russo M, Sensi SL, Onofrj M, Thomas A. Bipolar spectrum disorders in neurologic disorders. Front Psychiatry 2022; 13:1046471. [PMID: 36620667 PMCID: PMC9811836 DOI: 10.3389/fpsyt.2022.1046471] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Accepted: 12/05/2022] [Indexed: 12/24/2022] Open
Abstract
Psychiatric symptoms frequently predate or complicate neurological disorders, such as neurodegenerative diseases. Symptoms of bipolar spectrum disorders (BSD), like mood, behavioral, and psychotic alterations, are known to occur - individually or as a syndromic cluster - in Parkinson's disease and in the behavioral variant of frontotemporal dementia (FTD). Nonetheless, due to shared pathophysiological mechanisms, or genetic predisposition, several other neurological disorders show significant, yet neglected, clinical and biological overlaps with BSD like neuroinflammation, ion channel dysfunctions, neurotransmission imbalance, or neurodegeneration. BSD pathophysiology is still largely unclear, but large-scale network dysfunctions are known to participate in the onset of mood disorders and psychotic symptoms. Thus, functional alterations can unleash BSD symptoms years before the evidence of an organic disease of the central nervous system. The aim of our narrative review was to illustrate the numerous intersections between BSD and neurological disorders from a clinical-biological point of view and the underlying predisposing factors, to guide future diagnostic and therapeutical research in the field.
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Affiliation(s)
- Anna Digiovanni
- Department of Neuroscience, Imaging and Clinical Sciences, "G. D'Annunzio" University of Chieti-Pescara, Chieti, Italy.,Center for Advanced Studies and Technology (CAST), "G. D'Annunzio" University of Chieti-Pescara, Chieti, Italy
| | - Paola Ajdinaj
- Department of Neuroscience, Imaging and Clinical Sciences, "G. D'Annunzio" University of Chieti-Pescara, Chieti, Italy.,Center for Advanced Studies and Technology (CAST), "G. D'Annunzio" University of Chieti-Pescara, Chieti, Italy
| | - Mirella Russo
- Department of Neuroscience, Imaging and Clinical Sciences, "G. D'Annunzio" University of Chieti-Pescara, Chieti, Italy.,Center for Advanced Studies and Technology (CAST), "G. D'Annunzio" University of Chieti-Pescara, Chieti, Italy
| | - Stefano L Sensi
- Department of Neuroscience, Imaging and Clinical Sciences, "G. D'Annunzio" University of Chieti-Pescara, Chieti, Italy.,Center for Advanced Studies and Technology (CAST), "G. D'Annunzio" University of Chieti-Pescara, Chieti, Italy
| | - Marco Onofrj
- Department of Neuroscience, Imaging and Clinical Sciences, "G. D'Annunzio" University of Chieti-Pescara, Chieti, Italy.,Center for Advanced Studies and Technology (CAST), "G. D'Annunzio" University of Chieti-Pescara, Chieti, Italy
| | - Astrid Thomas
- Department of Neuroscience, Imaging and Clinical Sciences, "G. D'Annunzio" University of Chieti-Pescara, Chieti, Italy
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Slate SR, Busler JN, Mahon PB, Burdick KE. Age moderates the relationship between affective response inhibition and bipolar disorder in adults. J Affect Disord 2021; 295:298-304. [PMID: 34482062 PMCID: PMC8577218 DOI: 10.1016/j.jad.2021.08.019] [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: 06/14/2021] [Revised: 08/05/2021] [Accepted: 08/18/2021] [Indexed: 11/25/2022]
Abstract
BACKGROUND Patients with bipolar disorder (BD) often have impairments in neurocognition, including affective processing and affective response inhibition. While studies suggest that cognitive control in general may decline with age in BD, less is known about age-related changes in response inhibition to emotionally salient information. METHODS 258 participants with BD and 54 healthy controls, ages 18-70, completed the Cambridge Neuropsychological Test Automated Battery (CANTAB) Affective Go/No-Go task to assess affective response inhibition to positive and negative valenced stimuli. We examined the relationship between BD and affective response inhibition (number of commission and omission errors and reaction time), as well as a potential moderating effect of age, using mixed effects linear regression models. RESULTS The BD group made more omission and commission errors overall than the control group (p < 0.018). We observed a significant 3-way group-by-age-by-valence interaction for reaction time (p = 0.006). Within BD, a slower reaction time to negative than positive stimuli was found in middle and older age groups (p < 0.012), but not in the younger age group. No significant moderating effect of age was observed within the control group. CONCLUSIONS These cross-sectional findings indicate that compared with healthy controls, individuals with BD display differential and age-related effects in inhibition to emotionally salient information that is valence-dependent. The observed pattern of a switch in bias from negative to positive stimuli with age in BD may aid in our understanding of the progression of neurocognitive changes with aging in BD, as well as inform targeted treatments for cognitive symptoms.
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Affiliation(s)
- Sarah Rose Slate
- Brigham & Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Jessica N. Busler
- Brigham & Women’s Hospital, Harvard Medical School, Boston, MA, USA,Harvard T. H. Chan School of Public Health
| | - Pamela B. Mahon
- Brigham & Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Katherine E. Burdick
- Brigham & Women’s Hospital, Harvard Medical School, Boston, MA, USA,Corresponding author: Department of Psychiatry, Brigham & Women’s Hospital, Boston, MA 02115.
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Tryptophan Metabolism in Bipolar Disorder in a Longitudinal Setting. Antioxidants (Basel) 2021; 10:antiox10111795. [PMID: 34829665 PMCID: PMC8615217 DOI: 10.3390/antiox10111795] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Revised: 11/02/2021] [Accepted: 11/08/2021] [Indexed: 11/17/2022] Open
Abstract
Immune-mediated inflammatory processes and oxidative stress are involved in the aetiopathogenesis of bipolar disorder (BD) and weight-associated comorbidities. Tryptophan breakdown via indoleamine 2,3-dioxygenase-1 (IDO-1) along the kynurenine axis concomitant with a pro-inflammatory state was found to be more active in BD, and associated with overweight/obesity. This study aimed to investigate tryptophan metabolism in BD compared to controls (C), stratified by weight classes, in a longitudinal setting, dependent on the incidence of BD episodes. Peripheral tryptophan, kynurenine, and neopterin were assessed in the serum of 226 BD individuals and 142 C. Three samples in a longitudinal assessment were used for 75 BD individuals. Results showed a higher kynurenine/tryptophan in both BD compared to C and overweight compared to normal weight persons. Levels remained stable over time. In the longitudinal course, no differences were found between individuals who were constantly euthymic or not, or who had an illness episode or had none. Findings indicate that tryptophan, kynurenine, and IDO-1 activity may play a role in pathophysiology in BD but are not necessarily associated with clinical manifestations. Accelerated tryptophan breakdown along the kynurenine axis may be facilitated by being overweight. This may increase the risk of accumulation of neurotoxic metabolites, impacting BD symptomatology, cognition, and somatic comorbidities.
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Choi KM, Kim JY, Kim YW, Han JW, Im CH, Lee SH. Comparative analysis of default mode networks in major psychiatric disorders using resting-state EEG. Sci Rep 2021; 11:22007. [PMID: 34759276 PMCID: PMC8580995 DOI: 10.1038/s41598-021-00975-3] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Accepted: 10/15/2021] [Indexed: 11/09/2022] Open
Abstract
Default mode network (DMN) is a set of functional brain structures coherently activated when individuals are in resting-state. In this study, we constructed multi-frequency band resting-state EEG-based DMN functional network models for major psychiatric disorders to easily compare their pathophysiological characteristics. Phase-locking values (PLVs) were evaluated to quantify functional connectivity; global and nodal clustering coefficients (CCs) were evaluated to quantify global and local connectivity patterns of DMN nodes, respectively. DMNs of patients with post-traumatic stress disorder (PTSD), obsessive compulsive disorder (OCD), panic disorder, major depressive disorder (MDD), bipolar disorder, schizophrenia (SZ), mild cognitive impairment (MCI), and Alzheimer's disease (AD) were constructed relative to their demographically-matched healthy control groups. Overall DMN patterns were then visualized and compared with each other. In global CCs, SZ and AD showed hyper-clustering in the theta band; OCD, MCI, and AD showed hypo-clustering in the low-alpha band; OCD and MDD showed hypo-clustering and hyper-clustering in low-beta, and high-beta bands, respectively. In local CCs, disease-specific patterns were observed. In the PLVs, lowered theta-band functional connectivity between the left lingual gyrus and the left hippocampus was frequently observed. Our comprehensive comparisons suggest EEG-based DMN as a useful vehicle for understanding altered brain networks of major psychiatric disorders.
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Affiliation(s)
- Kang-Min Choi
- Clinical Emotion and Cognition Research Laboratory, Inje University, Goyang, Republic of Korea.,School of Electronic Engineering, Hanyang University, Seoul, Republic of Korea
| | - Jeong-Youn Kim
- Center for Bionics, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea
| | - Yong-Wook Kim
- Clinical Emotion and Cognition Research Laboratory, Inje University, Goyang, Republic of Korea.,Department of Biomedical Engineering, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul, 04763, Republic of Korea
| | - Jung-Won Han
- Clinical Emotion and Cognition Research Laboratory, Inje University, Goyang, Republic of Korea.,School of Psychology, Sogang University, Seoul, Republic of Korea
| | - Chang-Hwan Im
- School of Electronic Engineering, Hanyang University, Seoul, Republic of Korea. .,Department of Biomedical Engineering, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul, 04763, Republic of Korea.
| | - Seung-Hwan Lee
- Clinical Emotion and Cognition Research Laboratory, Inje University, Goyang, Republic of Korea. .,Department of Psychiatry, Ilsan Paik Hospital, Inje University College of Medicine, Juhwa-ro 170, Ilsanseo-Gu, Goyang, 10370, Republic of Korea. .,Bwave Inc, Juhwa-ro, Goyang, 10380, Republic of Korea.
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40
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Roman Meller M, Patel S, Duarte D, Kapczinski F, de Azevedo Cardoso T. Bipolar disorder and frontotemporal dementia: A systematic review. Acta Psychiatr Scand 2021; 144:433-447. [PMID: 34390495 DOI: 10.1111/acps.13362] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Revised: 08/09/2021] [Accepted: 08/10/2021] [Indexed: 12/13/2022]
Abstract
OBJECTIVES To detail the biological, clinical and neurocognitive characteristics differentiating bipolar disorder (BD) from frontotemporal dementia (FTD) and to investigate whether BD is a risk factor for FTD. METHODS A total of 16 studies were included in this systematic review. Five studies described biological and/or neurocognitive characteristics between patients with BD and FTD, and 11 studies investigated whether BD was a risk factor for FTD. RESULTS Individuals with FTD presented higher levels of serum neurofilament light chain, greater grey matter reduction in frontal, parietal and temporal lobes, and increased slow wave oscillations in channels F3, F4, T3, T5, T4 and T6 within an electroencephalogram (EEG), relative to individuals with BD. Patients with FTD presented greater deficits in executive function and theory of mind compared to patients with BD in a euthymic state, and more deficits in verbal fluency compared to patients with BD in a current mood episode. Patients with BD in a current mood episode showed greater impairment in attention, working memory, verbal memory and executive function relative to individuals with FTD. In addition, retrospective studies showed that 10.2%-11.6% of patients with behavioural variant FTD (bvFTD) had a preceding history of BD. CONCLUSION Biological and neurocognitive characteristics help to distinguish between BD and FTD, and it may help to reach a more precise diagnosis. In addition, individuals with BD are at higher risk of developing FTD. More studies are needed to identify the predictors of the conversion between BD to FTD.
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Affiliation(s)
- Marina Roman Meller
- Department of Psychiatry, Federal University of São Paulo, São Paulo, Brazil
| | - Swara Patel
- School of Interdisciplinary Science, Life Sciences Program, McMaster University, Hamilton, Ontario, Canada
| | - Dante Duarte
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada
| | - Flavio Kapczinski
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada.,Instituto Nacional de Ciência e Tecnologia Translacional em Medicina (INCT-TM), Porto Alegre, Brazil.,Bipolar Disorder Program, Laboratory of Molecular Psychiatry, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.,Department of Psychiatry, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Taiane de Azevedo Cardoso
- School of Interdisciplinary Science, Life Sciences Program, McMaster University, Hamilton, Ontario, Canada.,Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada
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41
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Mazumder AH, Barnett J, Isometsä ET, Lindberg N, Torniainen-Holm M, Lähteenvuo M, Lahdensuo K, Kerkelä M, Ahola-Olli A, Hietala J, Kampman O, Kieseppä T, Jukuri T, Häkkinen K, Cederlöf E, Haaki W, Kajanne R, Wegelius A, Männynsalo T, Niemi-Pynttäri J, Suokas K, Lönnqvist J, Tiihonen J, Paunio T, Vainio SJ, Palotie A, Niemelä S, Suvisaari J, Veijola J. Reaction Time and Visual Memory in Connection to Hazardous Drinking Polygenic Scores in Schizophrenia, Schizoaffective Disorder and Bipolar Disorder. Brain Sci 2021; 11:brainsci11111422. [PMID: 34827421 PMCID: PMC8615595 DOI: 10.3390/brainsci11111422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 10/25/2021] [Accepted: 10/26/2021] [Indexed: 11/29/2022] Open
Abstract
The purpose of this study was to explore the association of cognition with hazardous drinking Polygenic Scores (PGS) in 2649 schizophrenia, 558 schizoaffective disorder, and 1125 bipolar disorder patients in Finland. Hazardous drinking PGS was computed using the LDPred program. Participants performed two computerized tasks from the Cambridge Automated Neuropsychological Test Battery (CANTAB) on a tablet computer: the 5-choice serial reaction time task, or Reaction Time (RT) test, and the Paired Associative Learning (PAL) test. The association between hazardous drinking PGS and cognition was measured using four cognition variables. Log-linear regression was used in Reaction Time (RT) assessment, and logistic regression was used in PAL assessment. All analyses were conducted separately for males and females. After adjustment of age, age of onset, education, household pattern, and depressive symptoms, hazardous drinking PGS was not associated with reaction time or visual memory in male or female patients with schizophrenia, schizoaffective, and bipolar disorder.
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Affiliation(s)
- Atiqul Haq Mazumder
- Department of Psychiatry, Research Unit of Clinical Neuroscience, University of Oulu, 90014 Oulu, Finland; (M.K.); (T.J.); (J.V.)
- Correspondence:
| | - Jennifer Barnett
- Cambridge Cognition, University of Cambridge, Cambridge CB25 9TU, UK;
| | - Erkki Tapio Isometsä
- Department of Psychiatry, University Hospital and University of Helsinki, 00029 Helsinki, Finland; (E.T.I.); (N.L.); (T.K.); (A.W.); (T.P.)
| | - Nina Lindberg
- Department of Psychiatry, University Hospital and University of Helsinki, 00029 Helsinki, Finland; (E.T.I.); (N.L.); (T.K.); (A.W.); (T.P.)
| | - Minna Torniainen-Holm
- Mental Health Unit, Finnish Institute for Health and Welfare (THL), 00271 Helsinki, Finland; (M.T.-H.); (E.C.); (J.L.); (J.S.)
| | - Markku Lähteenvuo
- Department of Forensic Psychiatry, Niuvanniemi Hospital, University of Eastern Finland, 70240 Kuopio, Finland; (M.L.); (K.H.); (J.T.)
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
| | - Kaisla Lahdensuo
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
- Mehiläinen, Pohjoinen Hesperiankatu 17 C, 00260 Helsinki, Finland
| | - Martta Kerkelä
- Department of Psychiatry, Research Unit of Clinical Neuroscience, University of Oulu, 90014 Oulu, Finland; (M.K.); (T.J.); (J.V.)
| | - Ari Ahola-Olli
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
| | - Jarmo Hietala
- Department of Psychiatry, University of Turku, 20014 Turku, Finland; (J.H.); (S.N.)
- Department of Psychiatry, Turku University Hospital, 20521 Turku, Finland
| | - Olli Kampman
- Faculty of Medicine and Health Technology, Tampere University, 33014 Tampere, Finland;
- Department of Psychiatry, Pirkanmaa Hospital District, 33521 Tampere, Finland
| | - Tuula Kieseppä
- Department of Psychiatry, University Hospital and University of Helsinki, 00029 Helsinki, Finland; (E.T.I.); (N.L.); (T.K.); (A.W.); (T.P.)
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
- Mehiläinen, Pohjoinen Hesperiankatu 17 C, 00260 Helsinki, Finland
| | - Tuomas Jukuri
- Department of Psychiatry, Research Unit of Clinical Neuroscience, University of Oulu, 90014 Oulu, Finland; (M.K.); (T.J.); (J.V.)
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
| | - Katja Häkkinen
- Department of Forensic Psychiatry, Niuvanniemi Hospital, University of Eastern Finland, 70240 Kuopio, Finland; (M.L.); (K.H.); (J.T.)
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
| | - Erik Cederlöf
- Mental Health Unit, Finnish Institute for Health and Welfare (THL), 00271 Helsinki, Finland; (M.T.-H.); (E.C.); (J.L.); (J.S.)
| | - Willehard Haaki
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
- Department of Psychiatry, University of Turku, 20014 Turku, Finland; (J.H.); (S.N.)
| | - Risto Kajanne
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
| | - Asko Wegelius
- Department of Psychiatry, University Hospital and University of Helsinki, 00029 Helsinki, Finland; (E.T.I.); (N.L.); (T.K.); (A.W.); (T.P.)
- Mental Health Unit, Finnish Institute for Health and Welfare (THL), 00271 Helsinki, Finland; (M.T.-H.); (E.C.); (J.L.); (J.S.)
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
| | - Teemu Männynsalo
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
- Social Services and Health Care Sector, City of Helsinki, 00099 Helsinki, Finland
| | - Jussi Niemi-Pynttäri
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
- Social Services and Health Care Sector, City of Helsinki, 00099 Helsinki, Finland
| | - Kimmo Suokas
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
- Faculty of Medicine and Health Technology, Tampere University, 33014 Tampere, Finland;
| | - Jouko Lönnqvist
- Mental Health Unit, Finnish Institute for Health and Welfare (THL), 00271 Helsinki, Finland; (M.T.-H.); (E.C.); (J.L.); (J.S.)
- Department of Psychiatry, University of Helsinki, 00014 Helsinki, Finland
| | - Jari Tiihonen
- Department of Forensic Psychiatry, Niuvanniemi Hospital, University of Eastern Finland, 70240 Kuopio, Finland; (M.L.); (K.H.); (J.T.)
- Department of Clinical Neuroscience, Karolinska Institute, 17177 Stockholm, Sweden
- Center for Psychiatry Research, Stockholm City Council, 11364 Stockholm, Sweden
| | - Tiina Paunio
- Department of Psychiatry, University Hospital and University of Helsinki, 00029 Helsinki, Finland; (E.T.I.); (N.L.); (T.K.); (A.W.); (T.P.)
- Mental Health Unit, Finnish Institute for Health and Welfare (THL), 00271 Helsinki, Finland; (M.T.-H.); (E.C.); (J.L.); (J.S.)
- Department of Psychiatry, University of Helsinki, 00014 Helsinki, Finland
| | - Seppo Juhani Vainio
- Infotech Oulu, University of Oulu, 90014 Oulu, Finland;
- Northern Finland Biobank Borealis, Oulu University Hospital, 90220 Oulu, Finland
- Faculty of Biochemistry and Molecular Medicine, University of Oulu, 90014 Oulu, Finland
- Kvantum Institute, University of Oulu, 90014 Oulu, Finland
| | - Aarno Palotie
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
- Mehiläinen, Pohjoinen Hesperiankatu 17 C, 00260 Helsinki, Finland
- Stanley Center for Psychiatric Research, The Broad Institute of MIT (Massachusetts Institute of Technology) and Harvard, Cambridge, MA 02142, USA
- Analytical and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Solja Niemelä
- Department of Psychiatry, University of Turku, 20014 Turku, Finland; (J.H.); (S.N.)
- Department of Psychiatry, Turku University Hospital, 20521 Turku, Finland
| | - Jaana Suvisaari
- Mental Health Unit, Finnish Institute for Health and Welfare (THL), 00271 Helsinki, Finland; (M.T.-H.); (E.C.); (J.L.); (J.S.)
| | - Juha Veijola
- Department of Psychiatry, Research Unit of Clinical Neuroscience, University of Oulu, 90014 Oulu, Finland; (M.K.); (T.J.); (J.V.)
- Department of Psychiatry, Oulu University Hospital, 90220 Oulu, Finland
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42
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Mazumder AH, Barnett J, Isometsä ET, Lindberg N, Torniainen-Holm M, Lähteenvuo M, Lahdensuo K, Kerkelä M, Ahola-Olli A, Hietala J, Kampman O, Kieseppä T, Jukuri T, Häkkinen K, Cederlöf E, Haaki W, Kajanne R, Wegelius A, Männynsalo T, Niemi-Pynttäri J, Suokas K, Lönnqvist J, Tiihonen J, Paunio T, Vainio SJ, Palotie A, Niemelä S, Suvisaari J, Veijola J. Reaction Time and Visual Memory in Connection to Alcohol Use in Persons with Bipolar Disorder. Brain Sci 2021; 11:brainsci11091154. [PMID: 34573174 PMCID: PMC8467646 DOI: 10.3390/brainsci11091154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Revised: 08/23/2021] [Accepted: 08/27/2021] [Indexed: 11/17/2022] Open
Abstract
The purpose of this study was to explore the association of cognition with hazardous drinking and alcohol-related disorder in persons with bipolar disorder (BD). The study population included 1268 persons from Finland with bipolar disorder. Alcohol use was assessed through hazardous drinking and alcohol-related disorder including alcohol use disorder (AUD). Hazardous drinking was screened with the Alcohol Use Disorders Identification Test for Consumption (AUDIT-C) screening tool. Alcohol-related disorder diagnoses were obtained from the national registrar data. Participants performed two computerized tasks from the Cambridge Automated Neuropsychological Test Battery (CANTAB) on A tablet computer: the 5-choice serial reaction time task, or reaction time (RT) test and the Paired Associative Learning (PAL) test. Depressive symptoms were assessed with the Mental Health Inventory with five items (MHI-5). However, no assessment of current manic symptoms was available. Association between RT-test and alcohol use was analyzed with log-linear regression, and eβ with 95% confidence intervals (CI) are reported. PAL first trial memory score was analyzed with linear regression, and β with 95% CI are reported. PAL total errors adjusted was analyzed with logistic regression and odds ratios (OR) with 95% CI are reported. After adjustment of age, education, housing status and depression, hazardous drinking was associated with lower median and less variable RT in females while AUD was associated with a poorer PAL test performance in terms of the total errors adjusted scores in females. Our findings of positive associations between alcohol use and cognition in persons with bipolar disorder are difficult to explain because of the methodological flaw of not being able to separately assess only participants in euthymic phase.
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Affiliation(s)
- Atiqul Haq Mazumder
- Department of Psychiatry, Research Unit of Clinical Neuroscience, University of Oulu, 90014 Oulu, Finland; (M.K.); (T.J.); (J.V.)
- Correspondence:
| | - Jennifer Barnett
- Cambridge Cognition, University of Cambridge, Cambridge CB25 9TU, UK;
| | - Erkki Tapio Isometsä
- Department of Psychiatry, University Hospital and University of Helsinki, 00029 Helsinki, Finland; (E.T.I.); (N.L.); (T.K.); (A.W.); (T.P.)
- Department of Psychiatry, University of Helsinki, 00014 Helsinki, Finland;
| | - Nina Lindberg
- Department of Psychiatry, University Hospital and University of Helsinki, 00029 Helsinki, Finland; (E.T.I.); (N.L.); (T.K.); (A.W.); (T.P.)
| | - Minna Torniainen-Holm
- Mental Health Unit, Finnish Institute for Health and Welfare (THL), 00271 Helsinki, Finland; (M.T.-H.); (E.C.); (J.S.)
| | - Markku Lähteenvuo
- Department of Forensic Psychiatry, Niuvanniemi Hospital, University of Eastern Finland, 70240 Kuopio, Finland; (M.L.); (K.H.); (J.T.)
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
| | - Kaisla Lahdensuo
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
- Mehiläinen, Pohjoinen Hesperiankatu 17 C, 00260 Helsinki, Finland
| | - Martta Kerkelä
- Department of Psychiatry, Research Unit of Clinical Neuroscience, University of Oulu, 90014 Oulu, Finland; (M.K.); (T.J.); (J.V.)
| | - Ari Ahola-Olli
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
| | - Jarmo Hietala
- Department of Psychiatry, University of Turku, 20014 Turku, Finland; (J.H.); (S.N.)
- Department of Psychiatry, Turku University Hospital, 20521 Turku, Finland
| | - Olli Kampman
- Faculty of Medicine and Health Technology, Tampere University, 33014 Tampere, Finland;
- Department of Psychiatry, Pirkanmaa Hospital District, 33521 Tampere, Finland
| | - Tuula Kieseppä
- Department of Psychiatry, University Hospital and University of Helsinki, 00029 Helsinki, Finland; (E.T.I.); (N.L.); (T.K.); (A.W.); (T.P.)
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
- Mehiläinen, Pohjoinen Hesperiankatu 17 C, 00260 Helsinki, Finland
| | - Tuomas Jukuri
- Department of Psychiatry, Research Unit of Clinical Neuroscience, University of Oulu, 90014 Oulu, Finland; (M.K.); (T.J.); (J.V.)
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
| | - Katja Häkkinen
- Department of Forensic Psychiatry, Niuvanniemi Hospital, University of Eastern Finland, 70240 Kuopio, Finland; (M.L.); (K.H.); (J.T.)
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
| | - Erik Cederlöf
- Mental Health Unit, Finnish Institute for Health and Welfare (THL), 00271 Helsinki, Finland; (M.T.-H.); (E.C.); (J.S.)
| | - Willehard Haaki
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
- Department of Psychiatry, University of Turku, 20014 Turku, Finland; (J.H.); (S.N.)
| | - Risto Kajanne
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
| | - Asko Wegelius
- Department of Psychiatry, University Hospital and University of Helsinki, 00029 Helsinki, Finland; (E.T.I.); (N.L.); (T.K.); (A.W.); (T.P.)
- Mental Health Unit, Finnish Institute for Health and Welfare (THL), 00271 Helsinki, Finland; (M.T.-H.); (E.C.); (J.S.)
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
| | - Teemu Männynsalo
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
- Social Services and Health Care Sector, City of Helsinki, 00099 Helsinki, Finland
| | - Jussi Niemi-Pynttäri
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
- Social Services and Health Care Sector, City of Helsinki, 00099 Helsinki, Finland
| | - Kimmo Suokas
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
- Faculty of Medicine and Health Technology, Tampere University, 33014 Tampere, Finland;
| | - Jouko Lönnqvist
- Department of Psychiatry, University of Helsinki, 00014 Helsinki, Finland;
- Mental Health Unit, Finnish Institute for Health and Welfare (THL), 00271 Helsinki, Finland; (M.T.-H.); (E.C.); (J.S.)
| | - Jari Tiihonen
- Department of Forensic Psychiatry, Niuvanniemi Hospital, University of Eastern Finland, 70240 Kuopio, Finland; (M.L.); (K.H.); (J.T.)
- Department of Clinical Neuroscience, Karolinska Institute, 17177 Stockholm, Sweden
- Center for Psychiatry Research, Stockholm City Council, 11364 Stockholm, Sweden
| | - Tiina Paunio
- Department of Psychiatry, University Hospital and University of Helsinki, 00029 Helsinki, Finland; (E.T.I.); (N.L.); (T.K.); (A.W.); (T.P.)
- Mental Health Unit, Finnish Institute for Health and Welfare (THL), 00271 Helsinki, Finland; (M.T.-H.); (E.C.); (J.S.)
- Social Services and Health Care Sector, City of Helsinki, 00099 Helsinki, Finland
| | - Seppo Juhani Vainio
- Infotech Oulu, University of Oulu, 90014 Oulu, Finland;
- Northern Finland Biobank Borealis, Oulu University Hospital, 90220 Oulu, Finland
- Faculty of Biochemistry and Molecular Medicine, University of Oulu, 90014 Oulu, Finland
- Kvantum Institute, University of Oulu, 90014 Oulu, Finland
| | - Aarno Palotie
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
- Mehiläinen, Pohjoinen Hesperiankatu 17 C, 00260 Helsinki, Finland
- Stanley Center for Psychiatric Research, The Broad Institute of MIT (Massachusetts Institute of Technology) and Harvard, Cambridge, MA 02142, USA
- Analytical and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Solja Niemelä
- Department of Psychiatry, University of Turku, 20014 Turku, Finland; (J.H.); (S.N.)
- Department of Psychiatry, Turku University Hospital, 20521 Turku, Finland
| | - Jaana Suvisaari
- Mental Health Unit, Finnish Institute for Health and Welfare (THL), 00271 Helsinki, Finland; (M.T.-H.); (E.C.); (J.S.)
| | - Juha Veijola
- Department of Psychiatry, Research Unit of Clinical Neuroscience, University of Oulu, 90014 Oulu, Finland; (M.K.); (T.J.); (J.V.)
- Department of Psychiatry, Oulu University Hospital, 90220 Oulu, Finland
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Chen WY, Huang MC, Lee YC, Chang CE, Lin SK, Chiu CC, Liu HC, Kuo CJ, Weng SH, Chen PY, Kuo PH. The Heterogeneity of Longitudinal Cognitive Decline in Euthymic Bipolar I Disorder With Clinical Characteristics and Functional Outcomes. Front Psychiatry 2021; 12:684813. [PMID: 34366918 PMCID: PMC8335543 DOI: 10.3389/fpsyt.2021.684813] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Accepted: 06/24/2021] [Indexed: 12/01/2022] Open
Abstract
We characterized the heterogeneity and risk factors of cognitive decline in euthymic bipolar disorder (BD), and their magnitude of associations with subjective daily functions. In this retrospective cohort, BD type I patients (N = 128) were followed for an average of 6.5 years. Intelligence quotient (IQ) at index date was recorded, and premorbid IQ was estimated. We used Brief Assessment of Cognition in Affective Disorders (BAC-A) to assess cognition at follow-up. We evaluated current functions with World Health Organization Disability Assessment Schedule 2.0. Clinical and sociodemographic factors were examined for their independent effects on longitudinal cognitive decline. In addition, we employed multivariate adaptive regression spline to detect inflection points for the nature of slope changes in cognitive decline among BD patients. During follow-up years, 21 BD patients (16.4%) showed longitudinal cognitive decline. In cognitive decline group, all cognitive domains of BAC-A were significantly worsened. We found that density of episodes with psychotic features was an independent risk factor for cognitive decline after adjusted for age, gender and dose of mood stabilizer. After the age of 42 years, a steeper cognitive change was observed in the cognitive decline group. The correlation pattern between cognitive domains and functional outcomes differed between patients with and without cognitive decline. The present study characterized cognitive heterogeneity longitudinally in BD patients. As density of episodes play roles for cognitive decline, our results emphasize the importance of relapse prevention. Our findings provide hints for future personalized interventions and facilitating genetic and biological studies for dissecting the heterogeneity of bipolar illness.
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Affiliation(s)
- Wen-Yin Chen
- Department of Psychiatry, Taipei City Psychiatric Center, Taipei City Hospital, Taipei, Taiwan
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan
| | - Ming-Chyi Huang
- Department of Psychiatry, Taipei City Psychiatric Center, Taipei City Hospital, Taipei, Taiwan
- Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Ya-Chin Lee
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan
| | - Chiao-Erh Chang
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan
| | - Shih-Ku Lin
- Department of Psychiatry, Taipei City Psychiatric Center, Taipei City Hospital, Taipei, Taiwan
- Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Chih Chiang Chiu
- Department of Psychiatry, Taipei City Psychiatric Center, Taipei City Hospital, Taipei, Taiwan
- Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Hsing-Cheng Liu
- Department of Psychiatry, Taipei City Psychiatric Center, Taipei City Hospital, Taipei, Taiwan
- Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Chian-Jue Kuo
- Department of Psychiatry, Taipei City Psychiatric Center, Taipei City Hospital, Taipei, Taiwan
- Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Shih-Han Weng
- Department of Education and Research, Taipei City Hospital, Taipei, Taiwan
| | - Po-Yu Chen
- Department of Psychiatry, Taipei City Psychiatric Center, Taipei City Hospital, Taipei, Taiwan
- Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Po-Hsiu Kuo
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan
- Department of Public Health, College of Public Health, National Taiwan University, Taipei, Taiwan
- Department of Psychiatry, National Taiwan University Hospital, Taipei, Taiwan
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Internet-based cognitive assessment tool: Sensitivity and validity of a new online cognition screening tool for patients with bipolar disorder. J Affect Disord 2021; 289:125-134. [PMID: 33979722 DOI: 10.1016/j.jad.2021.04.039] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Revised: 03/11/2021] [Accepted: 04/22/2021] [Indexed: 11/24/2022]
Abstract
BACKGROUND The International Society for Bipolar Disorders Targeting Cognition Task Force recommends the Screen for Cognitive Impairment in Psychiatry (SCIP) to screen for cognitive impairment in bipolar disorder. However, SCIP must be administered by a healthcare professional, which is often impossible due to time and resource constraints. Web-based, self-administered cognition screening tools may enable assessment and monitoring of patients' cognition at a much larger scale to a reduced cost. For this purpose, we developed the Internet-Based Cognitive Assessment Tool (ICAT) as a modified web-based version of SCIP. This study aimed to investigate the sensitivity and validity of ICAT for cognition assessment in bipolar disorder. METHOD Thirty-five patients with bipolar disorder in full or partial remission and 35 healthy controls completed ICAT on a computer, the standard paper-and-pencil SCIP and a subjective cognition questionnaire and were rated for mood symptoms and functioning at the Copenhagen Affective Disorders Research Centre. RESULTS Patients displayed cognitive impairments compared to controls on the ICAT (t (61)=3.67, p<.001, d=0.93). There was a strong correlation between ICAT and SCIP Total Scores (r(61)=.72, p<.000) and moderate to strong correlations on subtest scores (r=.48-.63, ps<.001). Across all participants, lower ICAT scores correlated with more subjective cognitive complaints (r(59)=-.43, p<.001) and poorer psychosocial functioning (r(62)=-.47, p<.001). CONCLUSION ICAT is a sensitive and valid web-based tool for cognition assessment in patients with bipolar disorder. This highlights ICAT as a novel web-based cognition screening tool that is feasible for largescale assessment and monitoring of cognition in the clinical management of bipolar disorder.
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Simjanoski M, Jansen K, Mondin TC, Pedrotti Moreira F, Vieira IS, da Silva RA, Souza LDDM, Frey BN, Cardoso TDA, Kapczinski F. Cognitive complaints in individuals recently diagnosed with bipolar disorder: A cross-sectional study. Psychiatry Res 2021; 300:113894. [PMID: 33836469 DOI: 10.1016/j.psychres.2021.113894] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Accepted: 03/19/2021] [Indexed: 11/25/2022]
Abstract
AIM To assess the differences in subjective cognitive dysfunction between major depressive disorder (MDD) and recently diagnosed Bipolar Disorder (BD) across euthymia and mood episodes. METHODS This is a cross-sectional study corresponding to the second wave of a longitudinal study. The first wave consisted of subjects aged between 18 and 60 diagnosed with MDD. In the follow up after three years (second wave), conversion from MDD to BD diagnosis was assessed by qualified psychologists using the Mini International Neuropsychiatric Interview (MINI-Plus). Subjects were categorized in four diagnostic groups: euthymic MDD, MDD in a current mood episode, euthymic BD, and BD in a current mood episode. All subjects completed the Cognitive Complaints in Bipolar Disorder Rating Assessment (COBRA), an instrument specifically designed for detecting subjective cognitive deficits in BD. RESULTS The total sample (n = 468) included 410 subjects with MDD and 58 individuals recently diagnosed with BD. We subdivided the 2 groups based on their current mood state, and found a significant difference in COBRA total scores between euthymic BD individuals (median 17.00 [IQR: 8.75 - 20.75]) and euthymic MDD subjects (median 8.00 [IRQ: 5.00 - 14.00], p = 0.002), showing higher subjective cognitive dysfunction in individuals recently diagnosed with BD. The differences remained significant after adjusting for the presence of lifetime psychotic symptoms. We found no differences between MDD and BD during an acute mood episode. LIMITATION The small sample size of individuals with BD. CONCLUSION The findings suggest a higher presence of subjective cognitive complaints among individuals recently diagnosed with BD in comparison to individuals with MDD during euthymia.
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Affiliation(s)
- Mario Simjanoski
- Mood Disorders Program, Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada; Neuroscience Graduate Program, McMaster University, Hamilton, ON, Canada
| | - Karen Jansen
- Department of Health and Behavior, Catholic University of Pelotas, Pelotas, Brazil; Instituto Nacional de Ciência e Tecnologia Translacional em Medicina (INCT-TM), Porto Alegre, Brazil
| | - Thaíse Campos Mondin
- Department of Health and Behavior, Catholic University of Pelotas, Pelotas, Brazil; Pró-Reitoria de Assuntos Estudantis (PRAE), Universidade Federal de Pelotas, RS, Brazil
| | - Fernanda Pedrotti Moreira
- Department of Health and Behavior, Catholic University of Pelotas, Pelotas, Brazil; Instituto Nacional de Ciência e Tecnologia Translacional em Medicina (INCT-TM), Porto Alegre, Brazil
| | - Igor Soares Vieira
- Department of Health and Behavior, Catholic University of Pelotas, Pelotas, Brazil; Centro Universitário Estácio de Sergipe, SE, Brazil
| | - Ricardo Azevedo da Silva
- Department of Health and Behavior, Catholic University of Pelotas, Pelotas, Brazil; Instituto Nacional de Ciência e Tecnologia Translacional em Medicina (INCT-TM), Porto Alegre, Brazil
| | - Luciano Dias de Mattos Souza
- Department of Health and Behavior, Catholic University of Pelotas, Pelotas, Brazil; Instituto Nacional de Ciência e Tecnologia Translacional em Medicina (INCT-TM), Porto Alegre, Brazil
| | - Benicio N Frey
- Mood Disorders Program, Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada; Neuroscience Graduate Program, McMaster University, Hamilton, ON, Canada; Women's Health Concerns Clinic, St. Joseph's Healthcare, Hamilton, ON, Canada
| | - Taiane de Azevedo Cardoso
- Mood Disorders Program, Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada; Instituto Nacional de Ciência e Tecnologia Translacional em Medicina (INCT-TM), Porto Alegre, Brazil
| | - Flávio Kapczinski
- Mood Disorders Program, Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada; Neuroscience Graduate Program, McMaster University, Hamilton, ON, Canada; Instituto Nacional de Ciência e Tecnologia Translacional em Medicina (INCT-TM), Porto Alegre, Brazil.
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O'Rourke N, Sixsmith A, Kirshner G, Osher Y. Perceived cognitive failures and quality of life for older adults with bipolar disorder. J Affect Disord 2021; 287:433-440. [PMID: 33862304 DOI: 10.1016/j.jad.2021.03.024] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Revised: 02/19/2021] [Accepted: 03/10/2021] [Indexed: 01/01/2023]
Abstract
BACKGROUND Older adults with bipolar disorder (BD) commonly present with cognitive deficits (e.g., attention, memory, verbal fluency). Concomitantly, older adults with BD commonly report subjective or perceived cognitive failures. For this study, we confirmed a 3-factor model of cognitive failures first validated with older adults free of mental illness (i.e., forgetfulness, distractibility, false triggering). We then computed a structural equation model (SEM) demonstrating the construct validity of perceived cognitive errors in relation to quality of life with BD. Use of SEM enabled us to measure quality of life broadly and germane to BD (i.e., well-being, life satisfaction, alcohol misuse, sleep quality). METHODS We obtained responses from an international sample of 350 older adults with BD (M = 61.26 years of age, range 50-87), recruited via micro-targeted social media advertising. Most lived in Canada, the U.S., U.K., Ireland, Australia and South Africa. RESULTS As hypothesized, perceived cognitive failures were predicted by BD symptoms (depression and hypo/mania). And cognitive failures directly and indirectly predicted quality of life. LIMITATIONS Future research is needed to replicate this QoL model over time with younger patients and those recruited using more traditional methods. CONCLUSIONS Perceived cognitive failures may not be strongly correlated with objective indices of cognitive deficits; nonetheless perceived cognitive failures are significantly associated with quality of life for older adults with BD. For both cognitive errors and BD symptoms, their indirect effect on quality of life (via suicide ideation) is greater than the direct effect.
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Affiliation(s)
- Norm O'Rourke
- Department of Public Health and Multidisciplinary Center for Research on Aging, Ben-Gurion University of the Negev, Be'er Sheva, Israel.
| | - Andrew Sixsmith
- STAR Institute, Simon Fraser University, Vancouver (BC) Canada
| | - Gita Kirshner
- Department of Public Health, Ben-Gurion University of the Negev, Be'er Sheva, Israel
| | - Yamima Osher
- Be'er Sheva Mental Health Center, Faculty of Health Sciences, Ben-Gurion University of the Negev, Be'er Sheva, Israel
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Association of altered thyroid hormones and neurometabolism to cognitive dysfunction in unmedicated bipolar II depression. Prog Neuropsychopharmacol Biol Psychiatry 2021; 105:110027. [PMID: 32791168 DOI: 10.1016/j.pnpbp.2020.110027] [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: 11/23/2019] [Revised: 05/31/2020] [Accepted: 06/21/2020] [Indexed: 12/18/2022]
Abstract
BACKGROUND The underlying mechanism of cognitive impairment in bipolar II depression (BD II) remains unclear. Studies show disturbances of the hypothalamus-pituitary-thyroid (HPT) axis are suspected of correlating to brain neurometabolic alterations and cognitive deficits in psychiatric disorders. While, the nature of their inter-relationships in BD II depression remain enigmatic. METHODS 106 patients with unmedicated BD II depression and 100 healthy controls underwent cognitive function assessment using Trail Making Test, Part-A (TMT-A), Digit Symbol Substitution Test (DSST), and Semantic Verbal Fluency testing (SVF). Of those, 69 patients and 53 healthy controls had serum thyroid hormone levels measured including free tri-iodothyronine (FT3), total tri-iodothyronine (TT3), free thyroxin (FT4), total thyroxin (TT4) and thyroid-stimulating hormone (TSH). Additionally, 79 of the patients and 76 of the healthy controls underwent proton magnetic resonance spectroscopy (H-MRS) to obtain ratios of N-acetyl aspartate to creatine (NAA/Cr) and choline-containing compounds to creatine (Cho/Cr) in the prefrontal cortex (PFC), anterior cingulate cortex (ACC) and thalamus. Finally, association and multiple regression analysis were conducted to investigate their inter-relationships. RESULTS Patients with BD II depression showed significantly lower DSST and verbal fluency scores and longer completion time of TMT-A than did healthy controls. The FT3, TT3, and TSH levels of the BD cohort significantly decreased, while their FT4 levels increased. We also found significantly lower NAA/Cr ratios in the PFC and higher NAA/Cr ratios in the left thalamus of patients with BD II depression than in healthy controls. Furthermore, association analysis showed that increased FT4 negatively correlated to DSST and SVF, while increased FT4 correlation significantly with increasing TSH and DSST. Multiple regression analyses revealed relationships between TSH and NAA in the left PFC and the left thalamus, while correlating to SVF testing within the BD II depression cohort. CONCLUSIONS Our results demonstrate coinciding thyroid hormone abnormalities, cognitive dysfunction, and neurometabolic alterations of the PFC-thalamic circuitry occur in an early course of BD II depression. Further understanding of the interaction between thyroid-stimulating hormone and NAA/Cr of PFC-thalamic circuitry may shed light on the etiology of associated cognitive impairment.
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48
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Kjærstad HL, Eikeseth FF, Vinberg M, Kessing LV, Miskowiak K. Neurocognitive heterogeneity in patients with bipolar disorder and their unaffected relatives: associations with emotional cognition. Psychol Med 2021; 51:668-679. [PMID: 31875793 DOI: 10.1017/s0033291719003738] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
BACKGROUND Recent evidence suggests that neurocognitive impairments in remitted patients with bipolar disorder (BD) are heterogeneous. Our study aims to replicate recent findings of neurocognitive subgroups, and further explore whether these are related to impairments in affective cognition, in a large sample of remitted patients recently diagnosed with BD and their unaffected relatives compared to healthy controls (HCs). METHODS Hierarchal cluster analysis was conducted using neurocognitive data from remitted patients with BD (n = 158). Relatives of patients with BD (n = 52) were categorised into groups consistent with their affected relative's cluster assignment. The neurocognitive clusters of patients with BD and relatives, respectively, were compared with HCs (n = 110) in neurocognition and affective cognition (i.e. emotion processing and regulation). RESULTS Three discrete neurocognitive clusters were identified in patients with BD: a globally impaired (23.4%), a selectively impaired (31.0%) and a cognitively intact cluster (45.6%). The neurocognitive subgroups differed in affective cognition, with patients categorised as globally impaired exhibited most impairments in facial expression recognition and emotion regulation in social scenarios. First-degree relatives of cognitively impaired patients displayed impaired facial expression recognition but no impairments in non-emotional cognition. CONCLUSIONS In a clinical sample of remitted patients recently diagnosed with BD 54.4% had either global or selective cognitive impairment, replicating results of previous studies in patients with longer illness duration. The results suggest that patterns of neurocognition are associated with differential impairments in affective cognition. Aberrant affective cognition in relatives of patients categorised as neurocognitively impaired indicates an inherited risk for BD.
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Affiliation(s)
- Hanne Lie Kjærstad
- Copenhagen Affective Disorder research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital, Rigshospitalet, Denmark
| | | | - Maj Vinberg
- Copenhagen Affective Disorder research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital, Rigshospitalet, Denmark
| | - Lars Vedel Kessing
- Copenhagen Affective Disorder research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital, Rigshospitalet, Denmark
| | - Kamilla Miskowiak
- Copenhagen Affective Disorder research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital, Rigshospitalet, Denmark
- Department of Psychology, University of Copenhagen, Copenhagen, Denmark
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Orhan M, Huijser J, Korten N, Paans N, Regeer E, Sonnenberg C, van Oppen P, Stek M, Kupka R, Dols A. The influence of social, psychological, and cognitive factors on the clinical course in older patients with bipolar disorder. Int J Geriatr Psychiatry 2021; 36:342-348. [PMID: 32909298 DOI: 10.1002/gps.5431] [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: 04/30/2020] [Accepted: 09/05/2020] [Indexed: 11/12/2022]
Abstract
OBJECTIVES Research on factors that contribute to recurrence in older adults with bipolar disorder (OABD) is sparse. Previous research showed that clinical factors (e.g., age of onset, lifetime psychotic features, and suicide risk) were not associated with the recurrence in OABD. In younger adults, worse social functioning, coping style, and worse cognitive functioning are found to be associated with an unfavorable course of bipolar disorder. Therefore, this study is focusing on social, psychological, and cognitive factors in OABD. More insight in these factors is essential in order to develop and further specify preventive and treatment interventions. METHODS Data were used from the Dutch Older Bipolars (DOBi) cohort study. We included 64 patients for 3-year follow-up measurements, who were divided in a recurrent group and a nonrecurrent group. Logistic regression analyses were conducted to assess associations between social, psychological, and cognitive factors, and nonrecurrence. RESULTS 39.1% reported at least one recurrence during the 3-year follow-up period. No significant associations were found between the social, psychological, and cognitive factors and having a recurrence during the follow-up period. DISCUSSION Participants in the recurrent group were younger, more often female and less likely to have children. Our results suggest that results from the adult bipolar disorder population cannot be extrapolated to OABD patients, underlining the need for longitudinal studies in OABD.
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Affiliation(s)
- Melis Orhan
- Department of Old Age Psychiatry, GGZ inGeest, Amsterdam, The Netherlands.,Department of Psychiatry, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Janette Huijser
- Department of Old Age Psychiatry, GGZ inGeest, Amsterdam, The Netherlands
| | - Nicole Korten
- Department of Old Age Psychiatry, GGZ inGeest, Amsterdam, The Netherlands
| | - Nadine Paans
- Department of Old Age Psychiatry, GGZ inGeest, Amsterdam, The Netherlands
| | | | | | - Patricia van Oppen
- Department of Psychiatry, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Max Stek
- Department of Old Age Psychiatry, GGZ inGeest, Amsterdam, The Netherlands.,Department of Psychiatry, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Ralph Kupka
- Department of Psychiatry, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.,Altrecht GGZ, Utrecht, The Netherlands
| | - Annemiek Dols
- Department of Old Age Psychiatry, GGZ inGeest, Amsterdam, The Netherlands.,Department of Psychiatry, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.,Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
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50
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Callahan BL, McLaren-Gradinaru M, Burles F, Iaria G. How Does Dementia Begin to Manifest in Bipolar Disorder? A Description of Prodromal Clinical and Cognitive Changes. J Alzheimers Dis 2021; 82:737-748. [PMID: 34092630 DOI: 10.3233/jad-201240] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
BACKGROUND Older adults with bipolar disorder (BD) have increased dementia risk, but signs of dementia are difficult to detect in the context of pre-existing deficits inherent to BD. OBJECTIVE To identify the emergence of indicators of early dementia in BD. METHODS One hundred and fifty-nine non-demented adults with BD from the National Alzheimer's Coordinating Center (NACC) data repository underwent annual neuropsychological assessment up to 14 years (54.0 months average follow-up). Cognitive performance was examined longitudinally with linear mixed-effects models, and yearly differences between incident dementia cases and controls were examined in the six years prior to diagnosis. RESULTS Forty participants (25.2%) developed dementia over the follow-up period ('incident dementia cases'). Alzheimer's disease was the most common presumed etiology, though this was likely a result of sampling biases within NACC. Incident dementia cases showed declining trajectories in memory, language, and speeded attention two years prior to dementia onset. CONCLUSION In a sample of BD patients enriched for Alzheimer's type dementia, prodromal dementia in BD can be detected up to two years before onset using the same cognitive tests used in psychiatrically-healthy older adults (i.e., measures of verbal recall and fluency). Cognition in the natural course of BD is generally stable, and impairment or marked decline on measures of verbal episodic memory or semantic retrieval may indicate an early neurodegenerative process.
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Affiliation(s)
- Brandy L Callahan
- University of Calgary, Department of Psychology, Calgary, AB, Canada
- Hotchkiss Brain Institute, Calgary, AB, Canada
| | - Michael McLaren-Gradinaru
- University of Calgary, Department of Psychology, Calgary, AB, Canada
- Hotchkiss Brain Institute, Calgary, AB, Canada
| | - Ford Burles
- University of Calgary, Department of Psychology, Calgary, AB, Canada
- Hotchkiss Brain Institute, Calgary, AB, Canada
| | - Giuseppe Iaria
- University of Calgary, Department of Psychology, Calgary, AB, Canada
- Hotchkiss Brain Institute, Calgary, AB, Canada
- Alberta Children's Hospital Research Institute, Calgary, AB, Canada
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