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Amoretti S, De Prisco M, Clougher D, Garriga M, Corrales M, Fadeuilhe C, Forte MF, Martínez-Arán A, Oliva V, Parramón-Puig G, Richarte V, Amann BL, Oliva F, Ruiz A, Sole B, Valentí M, Crespin JJ, Arteaga-Henríquez G, Vieta E, Ramos-Quiroga JA, Torrent C. Neurocognitive and psychosocial functioning profiles in bipolar disorder and comorbid attention deficit hyperactivity disorder: A systematic review and meta-analysis. Neurosci Biobehav Rev 2025; 171:106081. [PMID: 40015388 DOI: 10.1016/j.neubiorev.2025.106081] [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: 11/29/2024] [Revised: 02/17/2025] [Accepted: 02/21/2025] [Indexed: 03/01/2025]
Abstract
Bipolar disorder (BD) and attention deficit hyperactivity disorder (ADHD) are chronic psychiatric conditions with significant impacts on neurocognitive and psychosocial functioning. Co-occurrence of BD and ADHD (BD-ADHD) presents unique clinical challenges and could exacerbate cognitive and functional impairments. This systematic review and meta-analysis aimed to provide an updated synthesis of the differences in neurocognitive and psychosocial functioning between patients with BD-ADHD, BD, ADHD, and healthy controls (HC). A comprehensive systematic search identified 5639 records, with 34 studies meeting the inclusion criteria for a systematic review and 31 for the meta-analysis. There were no significant differences in cognitive performance across none of the evaluated cognitive domains between BD-ADHD and BD patients. BD-ADHD patients exhibited significantly lower visual memory (SMD=-0.29, 95 % CI=-0.53,-0.04; p = 0.022) compared to ADHD patients. Compared to HC, BD-ADHD patients showed poorer performance in processing speed (SMD=-0.54, 95 % CI= -0.86,-0.22; p < 0.001), sustained attention (SMD=-0.40, 95 % CI=-0.62, -0.19; p < 0.001), visual memory (SMD=-0.47, 95 % CI=-0.69,-0.26; p < 0.001), working memory (SMD=-0.79, 95 % CI=-1.13,-0.44; p < 0.001), cognitive flexibility and higher-order executive functions (SMD=-0.52, 95 % CI=-0.84,-0.20; p = 0.001), and verbal memory (SMD=-0.95, 95 % CI=-1.43,-0.47; p < 0.001). Psychosocial functioning was significantly worse in BD-ADHD patients compared to BD (SMD=-0.46; p < 0.001), ADHD (SMD=-1.00; p < 0.001), and HC (SMD=-3.54; p < 0.001). Our results suggest that the co-occurrence of BD and ADHD is associated with significant neurocognitive and psychosocial impairments. These findings underscore the need for targeted interventions to address the unique challenges of this comorbid condition, informing clinical practice and guiding future research.
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Affiliation(s)
- Silvia Amoretti
- Group of Psychiatry, Mental Health and Addictions, Vall d'Hebron Research Institute (VHIR) Vall d'Hebron Research Institute (VHIR), Barcelona, Catalonia, Spain; Department of Mental Health. Hospital Universitari Vall d'Hebron. Barcelona, Catalonia, Spain; Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona, Barcelona, Catalonia, Spain; Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain
| | - Michele De Prisco
- Bipolar and Depressive Disorders Unit, Hospital Clínic de Barcelona, Barcelona, Spain; Departament de Medicina, Institut de Neurociències (UBNeuro), Universitat de Barcelona (UB), Spain; Fundació Clínic-Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Barcelona, Spain; Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain
| | - Derek Clougher
- Bipolar and Depressive Disorders Unit, Hospital Clínic de Barcelona, Barcelona, Spain; Departament de Medicina, Institut de Neurociències (UBNeuro), Universitat de Barcelona (UB), Spain; BIOARABA, Department Psychiatry, Hospital Universitario de Alava, CIBERSAM, University of the Basque Country, Vitoria, Spain
| | - Marina Garriga
- Bipolar and Depressive Disorders Unit, Hospital Clínic de Barcelona, Barcelona, Spain; Departament de Medicina, Institut de Neurociències (UBNeuro), Universitat de Barcelona (UB), Spain; Fundació Clínic-Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Barcelona, Spain; Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain
| | - Montse Corrales
- Group of Psychiatry, Mental Health and Addictions, Vall d'Hebron Research Institute (VHIR) Vall d'Hebron Research Institute (VHIR), Barcelona, Catalonia, Spain; Department of Mental Health. Hospital Universitari Vall d'Hebron. Barcelona, Catalonia, Spain; Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona, Barcelona, Catalonia, Spain; Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain
| | - Christian Fadeuilhe
- Group of Psychiatry, Mental Health and Addictions, Vall d'Hebron Research Institute (VHIR) Vall d'Hebron Research Institute (VHIR), Barcelona, Catalonia, Spain; Department of Mental Health. Hospital Universitari Vall d'Hebron. Barcelona, Catalonia, Spain; Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona, Barcelona, Catalonia, Spain; Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain
| | - M Florencia Forte
- Bipolar and Depressive Disorders Unit, Hospital Clínic de Barcelona, Barcelona, Spain; Departament de Medicina, Institut de Neurociències (UBNeuro), Universitat de Barcelona (UB), Spain; Fundació Clínic-Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Barcelona, Spain; Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain
| | - Anabel Martínez-Arán
- Bipolar and Depressive Disorders Unit, Hospital Clínic de Barcelona, Barcelona, Spain; Departament de Medicina, Institut de Neurociències (UBNeuro), Universitat de Barcelona (UB), Spain; Fundació Clínic-Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Barcelona, Spain; Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain
| | - Vincenzo Oliva
- Bipolar and Depressive Disorders Unit, Hospital Clínic de Barcelona, Barcelona, Spain; Departament de Medicina, Institut de Neurociències (UBNeuro), Universitat de Barcelona (UB), Spain; Fundació Clínic-Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Barcelona, Spain; Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain
| | - Gemma Parramón-Puig
- Group of Psychiatry, Mental Health and Addictions, Vall d'Hebron Research Institute (VHIR) Vall d'Hebron Research Institute (VHIR), Barcelona, Catalonia, Spain; Department of Mental Health. Hospital Universitari Vall d'Hebron. Barcelona, Catalonia, Spain; Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona, Barcelona, Catalonia, Spain
| | - Vanesa Richarte
- Group of Psychiatry, Mental Health and Addictions, Vall d'Hebron Research Institute (VHIR) Vall d'Hebron Research Institute (VHIR), Barcelona, Catalonia, Spain; Department of Mental Health. Hospital Universitari Vall d'Hebron. Barcelona, Catalonia, Spain; Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona, Barcelona, Catalonia, Spain
| | - Benedikt L Amann
- Institute of Mental Health, Hospital del Mar, Hospital del Mar Medical Research Institute, CIBERSAM, Pompeu Fabra University, Barcelona, Spain
| | - Francesco Oliva
- Department of Clinical and Biological Sciences, University of Turin, Turin, Italy
| | - Andrea Ruiz
- Bipolar and Depressive Disorders Unit, Hospital Clínic de Barcelona, Barcelona, Spain; Fundació Clínic-Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Barcelona, Spain
| | - Brisa Sole
- Bipolar and Depressive Disorders Unit, Hospital Clínic de Barcelona, Barcelona, Spain; Departament de Medicina, Institut de Neurociències (UBNeuro), Universitat de Barcelona (UB), Spain; Fundació Clínic-Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Barcelona, Spain; Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain
| | - Marc Valentí
- Bipolar and Depressive Disorders Unit, Hospital Clínic de Barcelona, Barcelona, Spain; Departament de Medicina, Institut de Neurociències (UBNeuro), Universitat de Barcelona (UB), Spain; Fundació Clínic-Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Barcelona, Spain; Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain
| | - Juan Jesus Crespin
- Group of Psychiatry, Mental Health and Addictions, Vall d'Hebron Research Institute (VHIR) Vall d'Hebron Research Institute (VHIR), Barcelona, Catalonia, Spain; Department of Mental Health. Hospital Universitari Vall d'Hebron. Barcelona, Catalonia, Spain
| | - Gara Arteaga-Henríquez
- Group of Psychiatry, Mental Health and Addictions, Vall d'Hebron Research Institute (VHIR) Vall d'Hebron Research Institute (VHIR), Barcelona, Catalonia, Spain; Department of Mental Health. Hospital Universitari Vall d'Hebron. Barcelona, Catalonia, Spain; Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona, Barcelona, Catalonia, Spain; Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain
| | - Eduard Vieta
- Bipolar and Depressive Disorders Unit, Hospital Clínic de Barcelona, Barcelona, Spain; Departament de Medicina, Institut de Neurociències (UBNeuro), Universitat de Barcelona (UB), Spain; Fundació Clínic-Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Barcelona, Spain; Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain.
| | - J Antoni Ramos-Quiroga
- Group of Psychiatry, Mental Health and Addictions, Vall d'Hebron Research Institute (VHIR) Vall d'Hebron Research Institute (VHIR), Barcelona, Catalonia, Spain; Department of Mental Health. Hospital Universitari Vall d'Hebron. Barcelona, Catalonia, Spain; Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona, Barcelona, Catalonia, Spain; Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain.
| | - Carla Torrent
- Bipolar and Depressive Disorders Unit, Hospital Clínic de Barcelona, Barcelona, Spain; Departament de Medicina, Institut de Neurociències (UBNeuro), Universitat de Barcelona (UB), Spain; Fundació Clínic-Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Barcelona, Spain; Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, 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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Miskowiak KW, Obel ZK, Guglielmo R, Bonnin CDM, Bowie CR, Balanzá-Martínez V, Burdick KE, Carvalho AF, Dols A, Douglas K, Gallagher P, Kessing LV, Lafer B, Lewandowski KE, López-Jaramillo C, Martinez-Aran A, McIntyre RS, Porter RJ, Purdon SE, Schaffer A, Stokes PRA, Sumiyoshi T, Torres IJ, Van Rheenen TE, Yatham LN, Young AH, Vieta E, Hasler G. Efficacy and safety of established and off-label ADHD drug therapies for cognitive impairment or attention-deficit hyperactivity disorder symptoms in bipolar disorder: A systematic review by the ISBD Targeting Cognition Task Force. Bipolar Disord 2024; 26:216-239. [PMID: 38433530 DOI: 10.1111/bdi.13414] [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] [Indexed: 03/05/2024]
Abstract
BACKGROUND Abnormalities in dopamine and norepinephrine signaling are implicated in cognitive impairments in bipolar disorder (BD) and attention-deficit hyperactivity disorder (ADHD). This systematic review by the ISBD Targeting Cognition Task Force therefore aimed to investigate the possible benefits on cognition and/or ADHD symptoms and safety of established and off-label ADHD therapies in BD. METHODS We included studies of ADHD medications in BD patients, which involved cognitive and/or safety measures. We followed the procedures of the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) 2020 statement. Searches were conducted on PubMed, Embase and PsycINFO from inception until June 2023. Two authors reviewed the studies independently using the Revised Cochrane Collaboration's Risk of Bias tool for Randomized trials. RESULTS Seventeen studies were identified (N = 2136), investigating armodafinil (k = 4, N = 1581), methylphenidate (k = 4, N = 84), bupropion (k = 4, n = 249), clonidine (k = 1, n = 70), lisdexamphetamine (k = 1, n = 25), mixed amphetamine salts (k = 1, n = 30), or modafinil (k = 2, n = 97). Three studies investigated cognition, four ADHD symptoms, and 10 the safety. Three studies found treatment-related ADHD symptom reduction: two involved methylphenidate and one amphetamine salts. One study found a trend towards pro-cognitive effects of modafinil on some cognitive domains. No increased risk of (hypo)mania was observed. Five studies had low risk of bias, eleven a moderate risk, and one a serious risk of bias. CONCLUSIONS Methylphenidate or mixed amphetamine salts may improve ADHD symptoms in BD. However, there is limited evidence regarding the effectiveness on cognition. The medications produced no increased mania risk when used alongside mood stabilizers. Further robust studies are needed to assess cognition in BD patients receiving psychostimulant treatment alongside mood stabilizers.
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Affiliation(s)
- Kamilla W Miskowiak
- Neurocognition and Emotion in Affective Disorders (NEAD) Centre, Department of Psychology, University of Copenhagen | Mental Health Services, Capital Region of Denmark, Copenhagen, Denmark
- Copenhagen Affective Disorder Research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital, Copenhagen, Denmark
| | - Zacharias K Obel
- Neurocognition and Emotion in Affective Disorders (NEAD) Centre, Department of Psychology, University of Copenhagen | Mental Health Services, Capital Region of Denmark, Copenhagen, Denmark
- Copenhagen Affective Disorder Research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital, Copenhagen, Denmark
| | - Riccardo Guglielmo
- Psychiatry Research Unit, University of Fribourg, Fribourg, Switzerland
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Section of Psychiatry, University of Genoa, Genoa, Italy
| | - Caterina Del Mar Bonnin
- Clinical Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Spain
| | | | | | - Katherine E Burdick
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA
- Department of Psychiatry, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Andre F Carvalho
- IMPACT Strategic Research Centre (Innovation in Mental and Physical Health and Clinical Treatment), Deakin University, Geelong, Victoria, Australia
| | - Annemieke Dols
- Department of Psychiatry, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Katie Douglas
- Department of Psychological Medicine, University of Otago, Christchurch, New Zealand
| | - Peter Gallagher
- Faculty of Medical Sciences, Translational and Clinical Research Institute, Newcastle University, Newcastle-upon-Tyne, UK
| | - Lars V Kessing
- Copenhagen Affective Disorder Research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Beny Lafer
- Bipolar Disorder Research Program, Institute of Psychiatry, Hospital das Clinicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Kathryn E Lewandowski
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA
- McLean Hospital, Schizophrenia and Bipolar Disorder Program, Belmont, Massachusetts, USA
| | - Carlos López-Jaramillo
- Research Group in Psychiatry, Department of Psychiatry, Universidad de Antioquia, Medellín, Colombia
| | - Anabel Martinez-Aran
- Clinical Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Spain
| | - Roger S McIntyre
- Mood Disorders Psychopharmacology Unit, Brain and Cognition Discovery Foundation, University of Toronto, Toronto, Canada
| | - Richard J Porter
- Department of Psychological Medicine, University of Otago, Christchurch, New Zealand
| | - Scot E Purdon
- Department of Psychiatry, University of Alberta, Edmonton, Canada
| | - Ayal Schaffer
- Department of Psychiatry, University of Toronto, Toronto, Canada
| | - Paul R A Stokes
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Tomiki Sumiyoshi
- Department of Preventive Intervention for Psychiatric Disorders, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Ivan J Torres
- Department of Psychiatry, University of British Columbia, Vancouver, Canada
| | - Tamsyn E Van Rheenen
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne, Carlton, Australia
- Centre for Mental Health, Faculty of Health, Arts and Design, Swinburne University, Melbourne, Australia
| | - Lakshmi N Yatham
- Department of Psychiatry, University of British Columbia, Vancouver, Canada
| | - Allan H Young
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Eduard Vieta
- Clinical Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Spain
| | - Gregor Hasler
- Psychiatry Research Unit, University of Fribourg, Fribourg, Switzerland
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Straszek SPV, Straarup KMN, Hjerrild S, Vinberg M. Adults with both bipolar disorder and ADHD. Ugeskr Laeger 2024; 186:V10230620. [PMID: 38708700 DOI: 10.61409/v10230620] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/07/2024]
Abstract
ADHD and bipolar disorder (BP) commonly coexist, and both share key symptoms, depending on affective state and emotional dysregulation. The overlap poses diagnostic challenges and may lead to underdiagnoses. Comorbid cases exhibit worsened symptom burden, increased psychiatric morbidity, admissions, and suicide attempts. Treating BP before ADHD is recommended. Stimulant use combined with mood stabilisers may be effective and relatively safe; however, this review finds that well-designed randomised controlled studies in the area is warranted.
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Jespersen AE, Obel Z, Lumbye A, Kessing LV, Miskowiak KW. Bipolar-ADHD comorbidity: screening for differences in neurocognition and virtual reality-based cognitive performance. Nord J Psychiatry 2024; 78:238-246. [PMID: 38294688 DOI: 10.1080/08039488.2024.2309496] [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: 04/13/2023] [Accepted: 01/17/2024] [Indexed: 02/01/2024]
Abstract
OBJECTIVES Identification of comorbid attention-deficit/hyperactivity disorder (ADHD) in patients with bipolar disorder (BD) is complicated by overlapping cognitive symptoms and methodological challenges. This cross-sectional study investigated whether virtual reality (VR)-based cognitive assessment that mimics daily life cognitive challenges can aid in the detection of sustained attention impairment in BD individuals with comorbid ADHD (BD + ADHD). METHODS Forty-nine fully or partially remitted outpatients with BD, of whom 14 (24%) had BD + ADHD, were assessed with the Cognition Assessment in Virtual Reality (CAVIR) test, including a sustained attention test that involves distractions, and the Screen for Cognitive Impairment in Psychiatry (SCIP). Patients were also rated for mood symptoms and functioning and completed questionnaires assessing subjective cognition and quality of life. Patients' cognitive impairment on the SCIP was estimated with reference to n = 100 demographically comparable healthy control participants. RESULTS BD + ADHD participants exhibited more pronounced performance deficits on the CAVIR sustained attention test (t(48) = 2.15, p = .037, d = .66). Notably, deficits on this test were proportional to self-reported daily life concentration difficulties in BD + ADHD individuals. Exploratory analyses revealed that BD + ADHD participants also displayed greater impairment on the SCIP working memory- and delayed verbal learning subtests and greater subjective cognitive complaints than BD patients without this comorbidity (p-levels < .001), but only the difference in subjective cognition survived correction for multiple comparisons (F(1,47) = 14.13, p = .005, np2 = 0.24). CONCLUSION Screening for deficits in sustained attention with an ecologically valid VR test involving distracting stimuli may be useful for identifying BD + ADHD individuals.
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Affiliation(s)
- Andreas E Jespersen
- Neurocognition and Emotion in Affective Disorders (NEAD) Centre, Psychiatric Centre Copenhagen, Frederiksberg Hospital, Copenhagen, Denmark
- NEAD Centre, Department of Psychology, University of Copenhagen, Copenhagen, Denmark
| | - Zacharias Obel
- Neurocognition and Emotion in Affective Disorders (NEAD) Centre, Psychiatric Centre Copenhagen, Frederiksberg Hospital, Copenhagen, Denmark
| | | | - Lars V Kessing
- Copenhagen Affective Disorder Research Centre (CADIC), Psychiatric Centre Copenhagen, Frederiksberg Hospital, Copenhagen, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Kamilla W Miskowiak
- Neurocognition and Emotion in Affective Disorders (NEAD) Centre, Psychiatric Centre Copenhagen, Frederiksberg Hospital, Copenhagen, Denmark
- NEAD Centre, Department of Psychology, University of Copenhagen, Copenhagen, Denmark
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Meyers JE, Miller RM. Objective methods for matching neuropsychological patterns: Formulas and comparisons. APPLIED NEUROPSYCHOLOGY. ADULT 2023; 30:249-258. [PMID: 34081873 DOI: 10.1080/23279095.2021.1929986] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
INTRODUCTION Objective neuropsychology test score pattern matching methods can help to identify data similarities and differences with comparison groups which can help the clinician in diagnosis and in identifying treatment options. MATERIALS AND METHODS The current study examines five methods of matching a data set: Correlation, Configuration, Kullback-Leibler (KL) Divergence, Pooled Effect Size (Cohen's d), and a new method called MNB (Meyers Neuropsychological Battery) Code. Thirty data sets diagnosed with Traumatic Brain Injury (TBI) were compared with four Comparison Group data sets consisting of TBI, Depression, Anxiety and Attention Deficit/Hyperactivity Disorder. RESULTS The Correlation Method was correct 90% (27/30) and Configuration was correct 86% (26/30). The KL Divergence was correct 76% (23/30) and the MNB Code was correct 73% (22/30). The Effect Size Method was correct 70% (21/30). When using a simple majority of all the matching methods, the classification rate was 90+ percent. CONCLUSIONS The results of this study demonstrate that there are statistical methods that can identify patterns of cognitive strengths and weaknesses. Multiple matching methods and a simple majority of agreement between the different comparisons suggests the best matching profile for diagnosis. In some cases, more than one pattern may be present.
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Affiliation(s)
- John E Meyers
- Meyers Neuropsychological Services, Nokomis, FL, USA
| | - Ronald M Miller
- Woodbury School of Business Strategic Management and Operations, Utah Valley University, Orem, UT, USA
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Bartoli F, Callovini T, Cavaleri D, Cioni RM, Bachi B, Calabrese A, Moretti F, Canestro A, Morreale M, Nasti C, Palpella D, Piacenti S, Nacinovich R, Riboldi I, Crocamo C, Carrà G. Clinical correlates of comorbid attention deficit hyperactivity disorder in adults suffering from bipolar disorder: A meta-analysis. Aust N Z J Psychiatry 2023; 57:34-48. [PMID: 35786010 DOI: 10.1177/00048674221106669] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
OBJECTIVE Attention deficit hyperactivity disorder is a frequent comorbid condition in adults with bipolar disorder. We performed a meta-analysis aimed at assessing sociodemographic and clinical correlates of attention deficit hyperactivity disorder in bipolar disorder. METHOD We searched main electronic databases up to June 2021. Random-effects meta-analyses, with relevant meta-regression and quality-based sensitivity analyses, were carried out to estimate the association between attention deficit hyperactivity disorder and putative correlates, grading the quality of evidence. RESULTS We included 43 studies, based on 38 independent samples. Attention deficit hyperactivity disorder participants were more likely to be males (odds ratio = 1.46; p < 0.001) and unemployed (odds ratio = 1.45; p = 0.045), and less likely to be married (odds ratio = 0.62; p = 0.014). They had an earlier onset of bipolar disorder (standardized mean difference = -0.36; p < 0.001); more mood episodes (standardized mean difference = 0.35; p = 0.007), particularly depressive (standardized mean difference = 0.30; p = 0.011) and mixed (standardized mean difference = 0.30; p = 0.031) ones; higher odds of using antidepressants (odds ratio = 1.80; p = 0.024) and attempted suicides (odds ratio = 1.83; p < 0.001) and lower odds of psychotic features (odds ratio = 0.63; p = 0.010). Moreover, they were more likely to have generalized anxiety disorder (odds ratio = 1.50; p = 0.019), panic disorder (odds ratio = 1.89; p < 0.001), social phobia (odds ratio = 1.61; p = 0.017), eating disorders (odds ratio = 1.91; p = 0.007), antisocial personality disorder (odds ratio = 3.59; p = 0.004) and substance (odds ratio = 2.29; p < 0.001) or alcohol (odds ratio = 2.28; p < 0.001) use disorders. Quality of the evidence was generally low or very low for the majority of correlates, except for bipolar disorder onset and alcohol/substance use disorders (high), and suicide attempts (moderate). CONCLUSION Comorbid bipolar disorder/attention deficit hyperactivity disorder may have some distinctive clinical features including an earlier onset of bipolar disorder and higher comorbid alcohol/substance use disorder rates. Further research is needed to identify additional clinical characteristics of this comorbidity.
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Affiliation(s)
- Francesco Bartoli
- Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
| | - Tommaso Callovini
- Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
| | - Daniele Cavaleri
- Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
| | | | - Bianca Bachi
- Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
| | - Angela Calabrese
- Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
| | - Federico Moretti
- Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
| | - Aurelia Canestro
- Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
| | - Marco Morreale
- Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
| | - Christian Nasti
- Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
| | - Dario Palpella
- Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
| | - Susanna Piacenti
- Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
| | - Renata Nacinovich
- Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
| | - Ilaria Riboldi
- Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
| | - Cristina Crocamo
- Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
| | - Giuseppe Carrà
- Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy.,Division of Psychiatry, University College London, London, UK
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Attention Deficit Hyperactivity Disorder and Bipolar Disorder: Diagnosis, Treatments, and Clinical Considerations: A Narrative Review. PSYCHIATRY INTERNATIONAL 2021. [DOI: 10.3390/psychiatryint3010002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Attention-deficit Hyperactivity Disorder is one of the most common childhood mental health disorders, affecting about 5.6% of the population worldwide. Several studies have specifically shown a high prevalence of comorbid mood disorders, such as depression and bipolar disorder (BD), in those diagnosed with ADHD. Several common symptoms of ADHD are also found in BD, which are characterized by alternating periods of euthymia and mood disturbances. The inattention and impulsivity of ADHD can be seen in manic and hypomanic episodes of BD. Over the past decade, there has been an increased interest in research between the correlation of ADHD and pediatric bipolar disorder (PBD) in children. Some experts hypothesize that more children are comorbidly diagnosed with ADHD and PBD because of how many clinicians treat children with ADHD. Other factors, which may affect the dual diagnoses of ADHD and PBD, are overlapping diagnostic criteria for the two disorders, the inevitable biases seen when one disorder is diagnosed without the other, and related risk factors leading to prodromal relationships. By examining clinical trials, a better understanding of whether ADHD and PBD have a stepwise progression or if other factors influence these comorbidities, such as blurred lines of diagnostic criteria. Those with ADHD are also at an increased risk of impairment at work and in social settings. This manuscript explores both progression of this disease and its clinical connections to other disorders.
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9
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Çelik HEA, Ceylan D, Ongun CH, Erdoğan A, Tan D, Gümüşkesen P, Bağci B, Özerdem A. Neurocognitive Functions in Bipolar Disorder in Relation to Comorbid ADHD. ACTA ACUST UNITED AC 2021; 58:87-93. [PMID: 34188588 DOI: 10.29399/npa.27290] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Accepted: 09/20/2020] [Indexed: 11/07/2022]
Abstract
Introduction Bipolar disorder (BD) and attention deficit hyperactivity disorder (ADHD) often co-occur in adult population. Both conditions present various neurocognitive and behavioral problems. We aimed to examine neurocognitive functions in adult patients with comorbid BD and ADHD (BD+ADHD) in comparison to patients with only BD, only ADHD and healthy controls (HCs). Method An extensive cognitive battery which evaluates verbal learning and memory, visual memory, processing speed, attention, executive functions, working memory and verbal fluency, was used to assess neurocognitive functions respectively in adult (age 18-65 years) patients with BD (n=37), ADHD (n=43), BD+ADHD (n=20) in comparison to HCs (n=51). The Multivariate Analysis of Covariance models, where age, level of education and total BIS-11 scores were included as covariates, were used for comparing neurocognitive scores among groups. Results Both BD and BD+ADHD groups showed significantly poorer performance than HCs in processing speed, attention, executive functions, and verbal fluency domains. The BD group had additional significant deficits in executive functions, verbal learning and memory domains. There were no significant differences between BD and BD+ADHD groups with regards to verbal learning and memory, visual memory, processing speed, attention, executive functions, working memory and verbal fluency domains. Patients with only ADHD showed significantly poorer performance than HCs in verbal fluency domain. Conclusions Our results show similarities in the neurocognitive functions of adults with BD and BD+ADHD across a wide range of cognitive domains. The findings point to the need for further exploration of diverging and converging neurodevelopmental trajectories of BD and ADHD.
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Affiliation(s)
- Hidayet Ece Arat Çelik
- Maltepe University, Faculty of Medicine, Department of Psychiatry, İstanbul, Turkey.,Dokuz Eylül University, Institute of Health Sciences, Department of Neuroscience, İzmir, Turkey
| | - Deniz Ceylan
- Koç University, Faculty of Medicine, Department of Psychiatry, İstanbul, Turkey
| | | | - Ayşe Erdoğan
- Dokuz Eylül University, Institute of Health Sciences, Department of Neuroscience, İzmir, Turkey
| | - Devran Tan
- Nişantaşı University, Faculty of Economics, Administrative and Scocial Sciences, Department of Psychology, İstanbul, Turkey
| | - Peren Gümüşkesen
- Dokuz Eylül University, Institute of Health Sciences, Department of Neuroscience, İzmir, Turkey
| | - Başak Bağci
- Katip Çelebi University, Ataturk Training and Research Hospital, Department of Psychiatry, İzmir, Turkey
| | - Ayşegül Özerdem
- Mayo Clinic, Department of Psychiatry and Psychology, Rochester, MN, USA
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10
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Drakopoulos J, Sparding T, Clements C, Pålsson E, Landén M. Executive functioning but not IQ or illness severity predicts occupational status in bipolar disorder. Int J Bipolar Disord 2020; 8:7. [PMID: 32030544 PMCID: PMC7005229 DOI: 10.1186/s40345-019-0168-6] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/14/2019] [Accepted: 11/05/2019] [Indexed: 12/12/2022] Open
Abstract
Background Bipolar disorder is associated with significant functional deficits including occupational functioning. Despite the high rates of unemployment and sick leave in the patient population, only a limited number of studies have examined factors associated with occupational functioning in bipolar disorder. The aim of the study was to investigate the relative importance of demographic, clinical, and neuropsychological factors on occupational dysfunction in bipolar disorder. Methods A sample of 120 partially or fully remitted bipolar disorder I and II patients were included in the study. Patients were stratified into an active and an inactive group based on the number of hours per week working or studying. Active (n = 86) and inactive (n = 34) patients were compared with respect to demographic factors, clinical characteristics, medication, measures of psychosocial functioning, and cognitive functioning (i.e., IQ and executive functions). No other cognitive domains were examined. Results Univariate analyses revealed better overall cognitive function in active patients in terms of IQ and executive functioning. However, only executive functioning accounted for a significant amount of the variance in occupational status when other significant predictors were taken into account. Conclusions Executive functioning was a more powerful predictor of occupational status in bipolar disorder patients than IQ and other clinical factors, including illness severity.
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Affiliation(s)
- Julia Drakopoulos
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Sahlgrenska University Hospital, Blå Stråket 15, 413 45, Gothenburg, Sweden
| | - Timea Sparding
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Sahlgrenska University Hospital, Blå Stråket 15, 413 45, Gothenburg, Sweden.
| | - Caitlin Clements
- Department of Psychology, University of Pennsylvania, 3720 Walnut Street, Philadelphia, PA, 19104, USA.,Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.,Center for Autism Research, The Children's Hospital of Philadelphia, 2716 South St, Philadelphia, PA, 19104, USA
| | - Erik Pålsson
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Sahlgrenska University Hospital, Blå Stråket 15, 413 45, Gothenburg, Sweden
| | - Mikael Landén
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Sahlgrenska University Hospital, Blå Stråket 15, 413 45, Gothenburg, Sweden.,Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
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