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Colli C, Garzitto M, Bonivento C, Delvecchio G, Maggioni E, Fagnani C, Medda E, Mauri M, Nobile M, Brambilla P. Exploring the effects of family and life events on genetic and environmental architecture of schizotypal and hypomanic dimensions: Insights from a twin study. J Affect Disord 2024; 362:375-383. [PMID: 38971195 DOI: 10.1016/j.jad.2024.07.010] [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: 01/13/2024] [Revised: 06/12/2024] [Accepted: 07/03/2024] [Indexed: 07/08/2024]
Abstract
BACKGROUND Strategies of prevention for psychiatric disorders need a deep understanding of the aetiological factors involved in the psychopathological processes. Our twin study aims at disentangling the contributions of genes and environment to schizotypal and hypomanic dimensions, considering the role of stressful life events (LEs) and the quality of family relationships. METHODS The Magical Ideation Scale (MIS) and Perceptual Aberration Scale (PAS) were used to assess positive schizotypy, while Hypomanic Personality Scale (HPS) and its sub-scales were used to investigate proneness to affective disorders. 268 twins (54.5 % female; aged 18.0 ± 6.68) were included. Participants filled out a questionnaire on LEs and their parents provided an evaluation of intra-family relationship (Relationship Quality Index, RQI). Classic univariate twin models for quantitative traits were fitted for scales, and the effects of covariates (LEs and RQI) were assessed. RESULTS For MIS, HPS and its sub-scales, significant common and unique environmental effects were detected, with genetic factors affecting only HPS Social Vitality sub-scale. Unique environment was the only source of variance of PAS score. The number of recent LEs influenced MIS and PAS models, while RQI score affected MIS model. LIMITATIONS The main limitation of the study is the small sample size, which reduces statistical power and may potentially lead to an underestimation of heritability. Additionally, the cross-sectional design limits the possibility to draw causal considerations. CONCLUSIONS Findings provide preliminary evidence for a significant environmental role in modulating states of vulnerability. Moreover, the expression of positive schizotypy resulted influenced by recent stressors and intra-family relationships.
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Affiliation(s)
- Chiara Colli
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Marco Garzitto
- Department of Medicine (DAME), University of Udine, Udine, Italy
| | | | - Giuseppe Delvecchio
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Eleonora Maggioni
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy
| | - Corrado Fagnani
- Italian Twin Registry, Centre for Behavioural Sciences and Mental Health, Istituto Superiore di Sanità, Rome, Italy
| | - Emanuela Medda
- Italian Twin Registry, Centre for Behavioural Sciences and Mental Health, Istituto Superiore di Sanità, Rome, Italy
| | - Maddalena Mauri
- Child Psychopathology Unit, Scientific Institute, IRCCS Eugenio Medea, Bosisio Parini (LC), Italy
| | - Maria Nobile
- Child Psychopathology Unit, Scientific Institute, IRCCS Eugenio Medea, Bosisio Parini (LC), Italy
| | - Paolo Brambilla
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy; Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
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Zhang X, Cheng X, Chen J, Sun J, Yang X, Li W, Chen L, Mao Y, Liu Y, Zeng X, Ye B, Yang C, Li X, Cao L. Distinct global brain connectivity alterations in depressed adolescents with subthreshold mania and the relationship with processing speed: Evidence from sBEAD Cohort. J Affect Disord 2024; 357:97-106. [PMID: 38657768 DOI: 10.1016/j.jad.2024.04.063] [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: 02/19/2024] [Revised: 04/06/2024] [Accepted: 04/15/2024] [Indexed: 04/26/2024]
Abstract
BACKGROUND Bipolar disorder (BD) is a progressive condition. Investigating the neuroimaging mechanisms in depressed adolescents with subthreshold mania (SubMD) facilitates the early identification of BD. However, the global brain connectivity (GBC) patterns in SubMD patients, as well as the relationship with processing speed before the onset of full-blown BD, remain unclear. METHODS The study involved 72 SubMD, 77 depressed adolescents without subthreshold mania (nSubMD), and 69 gender- and age-matched healthy adolescents (HCs). All patients underwent a clinical follow-up ranging from six to twelve months. We calculated the voxel-based graph theory analysis of the GBC map and conducted the TMT-A test to measure the processing speed. RESULTS Compared to HCs and nSubMD, SubMD patients displayed distinctive GBC index patterns: GBC index decreased in the right Medial Superior Frontal Gyrus (SFGmed.R)/Superior Frontal Gyrus (SFG) while increased in the right Precuneus and left Postcentral Gyrus. Both patient groups showed increased GBC index in the right Inferior Temporal Gyrus. An increased GBC value in the right Supplementary Motor Area was exclusively observed in the nSubMD-group. There were opposite changes in the GBC index in SFGmed.R/SFG between two patient groups, with an AUC of 0.727. Additionally, GBC values in SFGmed.R/SFG exhibited a positive correlation with TMT-A scores in SubMD-group. LIMITATIONS Relatively shorter follow-up duration, medications confounding, and modest sample size. CONCLUSION These findings suggest that adolescents with subthreshold BD have specific impairments patterns at the whole brain connectivity level associated with processing speed impairments, providing insights into early identification and intervention strategies for BD.
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Affiliation(s)
- Xiaofei Zhang
- Department of Child and Adolescent Psychiatry, Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong province 510300, PR China; The First School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong province 510000, PR China
| | - Xiaofang Cheng
- Department of Child and Adolescent Psychiatry, Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong province 510300, PR China
| | - Jianshan Chen
- Department of Child and Adolescent Psychiatry, Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong province 510300, PR China
| | - Jiaqi Sun
- Department of Child and Adolescent Psychiatry, Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong province 510300, PR China
| | - Xiaoyong Yang
- Department of Psychiatry, Guangzhou Medical University, Guangdong province 510300, PR China
| | - Weiming Li
- Department of Child and Adolescent Psychiatry, Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong province 510300, PR China
| | - Lei Chen
- Department of Child and Adolescent Psychiatry, Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong province 510300, PR China
| | - Yimiao Mao
- Department of Child and Adolescent Psychiatry, Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong province 510300, PR China
| | - Yutong Liu
- Department of Child and Adolescent Psychiatry, Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong province 510300, PR China
| | - Xuanlin Zeng
- Department of Child and Adolescent Psychiatry, Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong province 510300, PR China
| | - Biyu Ye
- Department of Child and Adolescent Psychiatry, Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong province 510300, PR China
| | - Chanjuan Yang
- Department of Child and Adolescent Psychiatry, Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong province 510300, PR China
| | - Xuan Li
- Department of Child and Adolescent Psychiatry, Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong province 510300, PR China.
| | - Liping Cao
- Department of Child and Adolescent Psychiatry, Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong province 510300, PR China.
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Chakrabarty T, Frangou S, Torres IJ, Ge R, Yatham LN. Brain age and cognitive functioning in first-episode bipolar disorder. Psychol Med 2023; 53:5127-5135. [PMID: 35875930 PMCID: PMC10476063 DOI: 10.1017/s0033291722002136] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Revised: 06/20/2022] [Accepted: 06/21/2022] [Indexed: 11/07/2022]
Abstract
BACKGROUND There is significant heterogeneity in cognitive function in patients with bipolar I disorder (BDI); however, there is a dearth of research into biological mechanisms that might underlie cognitive heterogeneity, especially at disease onset. To this end, this study investigated the association between accelerated or delayed age-related brain structural changes and cognition in early-stage BDI. METHODS First episode patients with BDI (n = 80) underwent cognitive assessment to yield demographically normed composite global and domain-specific scores in verbal memory, non-verbal memory, working memory, processing speed, attention, and executive functioning. Structural magnetic resonance imaging data were also collected from all participants and subjected to machine learning to compute the brain-predicted age difference (brainPAD), calculated by subtracting chronological age from age predicted by neuroimaging data (positive brainPAD values indicating age-related acceleration in brain structural changes and negative values indicating delay). Patients were divided into tertiles based on brainPAD values, and cognitive performance compared amongst tertiles with ANCOVA. RESULTS Patients in the lowest (delayed) tertile of brainPAD values (brainPAD range -17.9 to -6.5 years) had significantly lower global cognitive scores (p = 0.025) compared to patients in the age-congruent tertile (brainPAD range -5.3 to 2.4 yrs), and significantly lower verbal memory scores (p = 0.001) compared to the age-congruent and accelerated (brainPAD range 2.8 to 16.1 yrs) tertiles. CONCLUSION These results provide evidence linking cognitive dysfunction in the early stage of BDI to apparent delay in typical age-related brain changes. Further studies are required to assess how age-related brain changes and cognitive functioning evolve over time.
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Affiliation(s)
- Trisha Chakrabarty
- Department of Psychiatry, University of British Columbia, 2255 Wesbrook Mall, Vancouver, BC, Canada V6T 2A1
| | - Sophia Frangou
- Department of Psychiatry, University of British Columbia, 2255 Wesbrook Mall, Vancouver, BC, Canada V6T 2A1
- Department of Psychiatry Icahn School of Medicine at Mount Sinai, New York City, NY, United States
| | - Ivan J. Torres
- British Columbia Mental Health and Substance Use Services, Vancouver, BC, Canada
| | - Ruiyang Ge
- Department of Psychiatry, University of British Columbia, 2255 Wesbrook Mall, Vancouver, BC, Canada V6T 2A1
| | - Lakshmi N. Yatham
- Department of Psychiatry, University of British Columbia, 2255 Wesbrook Mall, Vancouver, BC, Canada V6T 2A1
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Salazar de Pablo G, Cabras A, Pereira J, Castro Santos H, de Diego H, Catalan A, González-Pinto A, Birmaher B, Correll CU, Fusar-Poli P. Predicting bipolar disorder I/II in individuals at clinical high-risk: Results from a systematic review. J Affect Disord 2023; 325:778-786. [PMID: 36657494 DOI: 10.1016/j.jad.2023.01.045] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Revised: 12/30/2022] [Accepted: 01/09/2023] [Indexed: 01/19/2023]
Abstract
INTRODUCTION No systematic review has estimated the consistency and the magnitude of the risk of developing bipolar disorder I-II (BD-I/II) in individuals at clinical high risk for bipolar disorder (CHR-BD). METHODS PubMed and Web of Science databases were searched until April 2022 in this pre-registered (PROSPERO CRD42022346515) PRISMA-compliant systematic review to identify longitudinal studies in individuals meeting pre-defined CHR-BD criteria. The risk of bias was assessed using the Newcastle-Ottawa Scale, and results were systematically synthesized around CHR-BD criteria across follow-up periods and different subgroups. RESULTS Altogether, 13 studies were included reporting on nine prospective independent cohorts (n = 678 individuals at CHR-BD). The mean age of participants was 15.7 years (range 10.1-22.6 years), and 54.2 % were females. The most common CHR-BD subgroup was subthreshold mania (55.5 %), followed by BD-Not Otherwise Specified (BD-NOS: 33.3 %). Development of BD I/II ranged from 7.1 % to 23.4 % after 2 years. Development of BD-I ranged from 3.4 % at 4 years to 23 % at 8 years. Development of BD-II ranged from 10 % at 2 years to 63.8 % at 4 years. The risk of developing BD-I appeared highest in those meeting BD-NOS criteria (23 % at eight years). Predictors of development of BD were identified but remained mostly unreplicated. The quality of the included studies was moderate (NOS = 5.2 ± 1.1). CONCLUSIONS Emerging data from research studies point towards the promising utility of CHR-BD criteria. These studies may pave the way to the next generation of research, implementing detection, prognostication, and preventive interventions in individuals at CHR-BD identified and followed in clinical practice.
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Affiliation(s)
- Gonzalo Salazar de Pablo
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK; Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK; Child and Adolescent Mental Health Services, South London and Maudsley NHS Foundation Trust, London, UK; Institute of Psychiatry and Mental Health, Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón School of Medicine, Universidad Complutense, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), CIBERSAM, Madrid, Spain.
| | - Anna Cabras
- Department of Neurology and Psychiatry, University of Rome La Sapienza, Rome, Italy
| | - Joana Pereira
- Centro Hospitalar Psiquiátrico de Lisboa, Lisbon, Portugal
| | | | - Héctor de Diego
- Department of Psychiatry and Mental Health, Hospital Universitario Infanta Leonor, Madrid, Spain
| | - Ana Catalan
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK; Psychiatry Department, Biocruces Bizkaia Health Research Institute, OSI Bilbao-Basurto, Facultad de Medicina y Odontología, University of the Basque Country UPV/EHU, Centro de Investigación en Red de Salud Mental, (CIBERSAM), Instituto de Salud Carlos III, Plaza de Cruces 12, 48903 Barakaldo, Bizkaia, Spain
| | - Ana González-Pinto
- Departmennt of Psychiatry, Araba University Hospital, Bioaraba Research Institute, CIBER-ISCIII-Salud Mental, Vitoria, Spain; Department of Neurosciences, University of the Basque Country, Bizkaia, Spain
| | - Boris Birmaher
- Western Psychiatric Hospital, University of Pittsburgh School of Medicine, PA, USA
| | - Christoph U Correll
- Department of Psychiatry, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, USA; Department of Psychiatry and Molecular Medicine, Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA; Center for Psychiatric Neuroscience, The Feinstein Institutes for Medical Research, Manhasset, NY, USA; Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin, Berlin, Germany
| | - Paolo Fusar-Poli
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK; Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy; OASIS service, South London and Maudsley NHS Foundation Trust, London, UK; National Institute for Health Research, Maudsley Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London, UK
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Keramatian K, Chakrabarty T, Saraf G, Yatham LN. Transitioning to bipolar disorder: A systematic review of prospective high-risk studies. Curr Opin Psychiatry 2022; 35:10-21. [PMID: 34812740 DOI: 10.1097/yco.0000000000000762] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
PURPOSE OF REVIEW Bipolar disorder is a highly heritable condition, which can progress from an asymptomatic period in at-risk individuals to a potentially debilitating illness. Identifying individuals who are at a high risk of developing bipolar disorder may provide an opportunity for early intervention to improve outcomes. The main objective of this systematic review is to provide an overview of prospective studies that evaluated the incidence and predictors of transitioning to bipolar disorder among high-risk individuals. RECENT FINDINGS Twenty-three publications from 16 cohorts were included in the final review. Most studies focused on familial high-risk groups, while others either used clinical or a combination of clinical and genetic risk factors. The follow-up length was from 1 to 21 years and the rate of conversion to bipolar disorder was between 8 and 25% among different studies. Overall, the results suggest that a combination of genetic and clinical risk factors; namely, subthreshold (hypo)manic symptoms and elevated depressive symptoms, may be required to optimally predict conversion to bipolar disorder. SUMMARY The concept of high-risk for bipolar disorder is still in its infancy. Further discussions are needed to work towards an expert consensus on the high-risk criteria for bipolar disorder, taking into account both clinical and genetic risk factors.
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Affiliation(s)
- Kamyar Keramatian
- Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada
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Schreuder MJ, Wigman JTW, Groen RN, Wichers M, Hartman CA. On the transience or stability of subthreshold psychopathology. Sci Rep 2021; 11:23306. [PMID: 34857821 PMCID: PMC8640053 DOI: 10.1038/s41598-021-02711-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Accepted: 11/18/2021] [Indexed: 12/22/2022] Open
Abstract
Symptoms of psychopathology lie on a continuum ranging from mental health to psychiatric disorders. Although much research has focused on progression along this continuum, for most individuals, subthreshold symptoms do not escalate into full-blown disorders. This study investigated how the stability of psychopathological symptoms (attractor strength) varies across severity levels (homebase). Data were retrieved from the TRAILS TRANS-ID study, where 122 at-risk young adults (mean age 23.6 years old, 57% males) monitored their mental states daily for a period of six months (± 183 observations per participant). We estimated each individual's homebase and attractor strength using generalized additive mixed models. Regression analyses showed no association between homebases and attractor strengths (linear model: B = 0.02, p = 0.47, R2 < 0.01; polynomial model: B < 0.01, p = 0.61, R2 < 0.01). Sensitivity analyses where we (1) weighed estimates according to their uncertainty and (2) removed individuals with a DSM-5 diagnosis from the analyses did not change this finding. This suggests that stability is similar across severity levels, implying that subthreshold psychopathology may resemble a stable state rather than a transient intermediate between mental health and psychiatric disorder. Our study thus provides additional support for a dimensional view on psychopathology, which implies that symptoms differ in degree rather than kind.
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Affiliation(s)
- Marieke J Schreuder
- Interdisciplinary Center for Psychopathology and Emotion regulation, Department of Psychiatry, University Medical Center Groningen, University of Groningen, Hanzeplein, 19713 GZ, Groningen, The Netherlands.
| | - Johanna T W Wigman
- Interdisciplinary Center for Psychopathology and Emotion regulation, Department of Psychiatry, University Medical Center Groningen, University of Groningen, Hanzeplein, 19713 GZ, Groningen, The Netherlands
| | - Robin N Groen
- Interdisciplinary Center for Psychopathology and Emotion regulation, Department of Psychiatry, University Medical Center Groningen, University of Groningen, Hanzeplein, 19713 GZ, Groningen, The Netherlands
| | - Marieke Wichers
- Interdisciplinary Center for Psychopathology and Emotion regulation, Department of Psychiatry, University Medical Center Groningen, University of Groningen, Hanzeplein, 19713 GZ, Groningen, The Netherlands
| | - Catharina A Hartman
- Interdisciplinary Center for Psychopathology and Emotion regulation, Department of Psychiatry, University Medical Center Groningen, University of Groningen, Hanzeplein, 19713 GZ, Groningen, The Netherlands
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[Early intervention in bipolar affective disorders: Why, when and how]. L'ENCEPHALE 2021; 48:60-69. [PMID: 34565543 DOI: 10.1016/j.encep.2021.05.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 05/07/2021] [Accepted: 05/21/2021] [Indexed: 11/23/2022]
Abstract
OBJECTIVES Bipolar disorder (BD) is a chronic and severe psychiatric disease. There are often significant delays prior to diagnosis, and only 30 to 40 % of patients will experience complete remission. Since BD occurs most often at a young age, the disorder can seriously obstruct future socio-professional development and integration. Vulnerability-stress model of BD is considered to be the result of an interaction between vulnerability genes and environmental risk factors, which leads to the onset of the disorder most often in late adolescence or early adulthood. The clinical "staging" model of BD situates the subject in a clinical continuum of varying degrees of severity (at-risk status, first episode, full-blown BD). Given the demonstrated effectiveness of early intervention in the early stages of psychotic disorder, we posit that early intervention for early stages of BD (i.e. at-risk status and first episode mania or hypomania) would reduce the duration of untreated illness and optimize the chances of therapeutic response and recovery. METHODS We conducted a narrative review of the literature to gather updated data on: (1) features of early stages: risk factors, at-risk symptoms, clinical specificities of the first manic episode; (2) early screening: targeted populations and psychometric tools; (3) early treatment: settings and therapeutic approaches for the early stages of BD. RESULTS (1) Features of early stages: among genetic risk factors, we highlighted the diagnosis of BD in relatives and affective temperament including as cyclothymic, depressive, anxious and dysphoric. Regarding prenatal environmental risk, we identified peripartum factors such as maternal stress, smoking and viral infections, prematurity and cesarean delivery. Later in the neurodevelopmental course, stressful events and child psychiatric disorders are recognized as increasing the risk of developing BD in adolescence. At-risk symptoms could be classified as "distal" with early but aspecific expressions including anxiety, depression, sleep disturbance, decreased cognitive performance, and more specific "proximal" symptoms which correspond to subsyndromic hypomanic symptoms that increase in intensity as the first episode of BD approaches. Specific clinical expressions have been described to assess the risk of BD in individuals with depression. Irritability, mixed and psychotic features are often observed in the first manic episode. (2) Early screening: some individuals with higher risk need special attention for screening, such as children of people with BD. Indeed, it is shown that children with at least one parent with BD have around 50 % risk of developing BD during adolescence or early adulthood. Groups of individuals presenting other risk factors, experiencing an early stage of psychosis or depressive disorders should also be considered as targeted populations for BD screening. Three questionnaires have been validated to screen for the presence of at-risk symptoms of BD: the Hypomanic Personality Scale, the Child Behavior Checklist-Paediatric Bipolar Disorder, and the General Behavior Inventory. In parallel, ultra-high risk criteria for bipolar affective disorder ("bipolar at-risk") distinguishing three categories of at-risk states for BD have been developed. (3) Early treatment: clinical overlap between first psychotic and manic episode and the various trajectories of the at-risk status have led early intervention services (EIS) for psychosis to reach out for people with an early stage of BD. EIS offers complete biopsychosocial evaluations involving a psychiatric examination, semi-structured interviews, neuropsychological assessments and complementary biological and neuroimaging investigations. Key components of EIS are a youth-friendly approach, specialized and intensive care and client-centered case management model. Pharmaceutical treatments for at-risk individuals are essentially symptomatic, while guidelines recommend the use of a non-antipsychotic mood stabilizer as first-line monotherapy for the first manic or hypomanic episode. Non-pharmacological approaches including psychoeducation, psychotherapy and rehabilitation have proven efficacy and should be considered for both at-risk and first episode of BD. CONCLUSIONS EIS for psychosis might consider developing and implementing screening and treatment approaches for individuals experiencing an early stage of BD. Several opportunities for progress on early intervention in the early stages of BD can be drawn. Training first-line practitioners to identify at-risk subjects would be relevant to optimize screening of this population. Biomarkers including functional and structural imaging measures of specific cortical regions and inflammation proteins including IL-6 rates constitute promising leads for predicting the risk of transition to full-blown BD. From a therapeutic perspective, the use of neuroprotective agents such as folic acid has shown particularly encouraging results in delaying the emergence of BD. Large-scale studies and long-term follow-up are still needed to achieve consensus in the use of screening and treatment tools. The development of specific recommendations for the early stages of BD is warranted.
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Mulraney M, Coghill D, Bishop C, Mehmed Y, Sciberras E, Sawyer M, Efron D, Hiscock H. A systematic review of the persistence of childhood mental health problems into adulthood. Neurosci Biobehav Rev 2021; 129:182-205. [PMID: 34363845 DOI: 10.1016/j.neubiorev.2021.07.030] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Revised: 07/18/2021] [Accepted: 07/28/2021] [Indexed: 01/08/2023]
Abstract
Many adult mental disorders have their origins in childhood yet our knowledge about this largely comes from studies assessing adults utilising retrospective recall of age of onset. In this systematic review we evaluate the current state of knowledge of how childhood exposure to mental health problems is associated with adult mental disorders using data from prospective longitudinal studies. We identified 40 studies that assessed mental health in childhood or adolescence and reassessed adults for mental disorders. Although there was substantial heterogeneity across studies in terms of methodology and findings, there was a clear pattern that experiencing mental health problems prior to 14 years of age increases risk of adult mental disorder. Importantly, elevated symptoms rather than diagnosis in childhood were generally more strongly associated with adult disorder. These findings provide strong support for the argument that prevention needs to be targeted to children in the primary school years and early intervention efforts to those who are beginning to experience elevated symptoms rather than waiting until a diagnosable disorder is evident.
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Affiliation(s)
- Melissa Mulraney
- Institute for Social Neuroscience, ISN Innovations, Ivanhoe, Australia; Murdoch Children's Research Institute, Melbourne, Australia; Department of Paediatrics, University of Melbourne, Australia.
| | - David Coghill
- Murdoch Children's Research Institute, Melbourne, Australia; Department of Paediatrics, University of Melbourne, Australia; The Royal Children's Hospital, Melbourne, Australia
| | - Caitlin Bishop
- School of Psychology, Deakin University, Geelong, Australia
| | - Yasemin Mehmed
- Murdoch Children's Research Institute, Melbourne, Australia; Department of Paediatrics, University of Melbourne, Australia
| | - Emma Sciberras
- Murdoch Children's Research Institute, Melbourne, Australia; Department of Paediatrics, University of Melbourne, Australia; School of Psychology, Deakin University, Geelong, Australia
| | - Michael Sawyer
- Women's and Children's Health Network, North Adelaide, SA, Australia; Adelaide Medical School, University of Adelaide, Adelaide, SA, Australia
| | - Daryl Efron
- Murdoch Children's Research Institute, Melbourne, Australia; Department of Paediatrics, University of Melbourne, Australia; The Royal Children's Hospital, Melbourne, Australia
| | - Harriet Hiscock
- Murdoch Children's Research Institute, Melbourne, Australia; Department of Paediatrics, University of Melbourne, Australia; The Royal Children's Hospital, Melbourne, Australia
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Nielsen LG, Køster Rimvall M, Van Os J, Verhulst F, Rask CU, Skovgaard AM, Olsen EM, Jeppesen P. Precursors of self-reported subclinical hypomania in adolescence: A longitudinal general population study. PLoS One 2021; 16:e0253507. [PMID: 34143836 PMCID: PMC8213158 DOI: 10.1371/journal.pone.0253507] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Accepted: 06/05/2021] [Indexed: 12/16/2022] Open
Abstract
Symptoms of subclinical hypomania (SHM) are common in the general population of adolescents and young adults. SHM are most often transient yet might be risk markers of later bipolar disorder. The current study aimed to assess the clinical correlates of SHM at age 11 in the general population, examine the continuity of SHM from age 11-age 16 and explore the clinical precursors of age 16 SHM. As part of the Copenhagen Child Cohort 2000, 1,632 preadolescents participated in the examination of SHM and various clinical correlates at age 11, 893 were re-assessed for SHM at age 16 years. At age 11, SHM, psychotic experiences and depressive symptoms were assessed by semi-structured psychopathological interviews. Furthermore, the participants were diagnostically assessed by the Development and Well-Being Assessment and interviewed about sleep length. At age 16, SHM was assessed by self-report, using the Hypomania Checklist-32. Cannabis use occurring at age 15 or earlier was assessed at age 16. At age 11, SHM was associated with depressive disorders (Relative Risk [RR] = 2.96 [95% CI 1.26–6.96]), interview-based depressive symptoms (RR = 9.22 [5.93–14.34]), neurodevelopmental disorders (RR = 2.94 [1.66–5.20]), psychotic experiences (RR = 4.51 [2.90–7.01]) and insufficient sleep (RR = 2.10 [1.28–3.43]. In the longitudinal analyses, age 16 SHM was preceded by age 11 SHM (RR = 1.89 [1.02–3.49]), psychotic experiences (RR = 2.06, [1.28–3.33]), emotional disorders (RR = 1.77, [1.02–3.09]) and cannabis use (RR = 3.14, [1.93–5.10]), after mutual adjustment and adjustment for sex, and sociodemographic factors. In conclusion, age 11 SHM was statistically significantly associated with other types of psychopathology in cross-sectional analyses and showed some continuity with later self-reported SHM at age 16. Particularly early psychotic experiences and cannabis use stood out as independent precursors of self-reported SHM and might constitute important risk markers for the development of future SHM and bipolar disorder. An important potential caveat of the current study includes the self-report assessment of SHM.
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Affiliation(s)
- Louise Gunhard Nielsen
- Child and Adolescent Mental Health Centre, Mental Health Services, Capital Region of Denmark, Hellerup, Denmark
- * E-mail:
| | - Martin Køster Rimvall
- Child and Adolescent Mental Health Centre, Mental Health Services, Capital Region of Denmark, Hellerup, Denmark
- Department of Child and Adolescent Psychiatry, Psychiatry Region Zealand, Roskilde, Denmark
| | - Jim Van Os
- Department of Psychiatry, University Medical Centre Utrecht, Brain Center Rudolf Magnus, Utrecht, The Netherlands
- Department of Psychiatry and Psychology, Maastricht University Medical Centre, Maastricht, The Netherlands
- Department of Psychosis Studies, King’s College London, King’s Health Partners, Institute of Psychiatry, London, United Kingdom
| | - Frank Verhulst
- Child and Adolescent Mental Health Centre, Mental Health Services, Capital Region of Denmark, Hellerup, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Child Psychiatry/Psychology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Charlotte Ulrikka Rask
- Research Unit, Department of Child and Adolescent Psychiatry, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Anne Mette Skovgaard
- National Institute of Public Health, University of Southern Denmark, Odense, Denmark
| | - Else Marie Olsen
- Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Center for Clinical Research and Prevention, the Capital Region of Denmark, Copenhagen, Denmark
| | - Pia Jeppesen
- Child and Adolescent Mental Health Centre, Mental Health Services, Capital Region of Denmark, Hellerup, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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Zhao Q, Guo T, Li Y, Zhang L, Lyu N, Wilson A, Zhu X, Li X. Clinical characteristic of prodromal symptoms between bipolar I and II disorder among Chinese patients: a retrospective study. BMC Psychiatry 2021; 21:275. [PMID: 34059028 PMCID: PMC8168043 DOI: 10.1186/s12888-021-03295-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Accepted: 05/11/2021] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND This study aimed to identify the clinical characteristic of prodromal symptoms in Chinese patients with bipolar disorder (BD), prior to the first affective episode. It further aimed to characterize the prodromal traits between bipolar disorder type I (BD-I) and type II (BD-II). METHODS 120 individuals with BD-I (n = 92) and BD- II (n = 28) were recruited to the study. Semi-structured interviews were then administered to evaluate prodromal symptoms in patients, within 3 years of BD onset, by using the Bipolar Prodrome Symptom Scale-Retrospective (BPSS-R). RESULTS In the prodromal phase of the first depressive episode, patients with BD-II experienced more prodromal symptoms (p = 0.0028) compared to BD-I. Additionally, more frequent predictors were reported in patients with BD-II than BD-I including educational and occupational dysfunction (p = 0.0023), social isolation (p < 0.001), difficulty making decisions (p = 0.0012), oppositionality (p = 0.012), and suspiciousness/persecutory ideas (p = 0.017). There were also differences in the duration of the precursors. The duration of "weight loss or decrease in appetite" (p = 0.016) lasted longer in patients with BD-I, while "obsessions and compulsions" (p = 0.023) started earlier in patients with BD-II and occurred during the pre-depressive period. The prevalence and duration of each reported prodrome, preceding a first (hypo) manic episode, showed no difference between patients with BD-I and BD-II. CONCLUSIONS Specific affective, general, or psychotic symptoms occurred prior to both affective episodes. The characteristic of prodromal symptoms were key predictors for later episodes of BD including attenuated mania-like symptoms, subthreshold depressed mood, mood swings/lability, and anxiety. In the pre-depressive state, when compared to BD-II, BD-I presented with more prodromal symptoms in nonspecific dimensions, which indicated the substantial burden of BD-II. In conclusion, this study extends the understanding of the characteristics of prodromes of BD-I and BD-II.
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Affiliation(s)
- Qian Zhao
- grid.24696.3f0000 0004 0369 153XThe National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China ,grid.64939.310000 0000 9999 1211Beijing Advanced Innovation Center for Big Data Based Precision Medicine, Beihang University, Beijing, China
| | - Tong Guo
- grid.24696.3f0000 0004 0369 153XThe National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Yang Li
- grid.24696.3f0000 0004 0369 153XThe National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Lei Zhang
- grid.24696.3f0000 0004 0369 153XThe National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Nan Lyu
- grid.24696.3f0000 0004 0369 153XThe National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Amanda Wilson
- grid.48815.300000 0001 2153 2936Division of Psychology, Faculty of Health and Life Sciences, De Montfort University, Leicester, UK
| | - Xuequan Zhu
- grid.24696.3f0000 0004 0369 153XThe National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China ,grid.64939.310000 0000 9999 1211Beijing Advanced Innovation Center for Big Data Based Precision Medicine, Beihang University, Beijing, China
| | - Xiaohong Li
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.
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Del Favero E, Montemagni C, Bozzatello P, Brasso C, Riccardi C, Rocca P. The Management of Prodromal Symptoms of Bipolar Disorder: Available Options and Future Perspectives. ACTA ACUST UNITED AC 2021; 57:medicina57060545. [PMID: 34071356 PMCID: PMC8229021 DOI: 10.3390/medicina57060545] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 05/23/2021] [Accepted: 05/24/2021] [Indexed: 12/14/2022]
Abstract
The onset of prodromal symptoms in subjects who are at familial or clinical risk for bipolar disorder could be considered as an important alarm bell for the development of the disease and should be carefully detected. The management of prodromes in bipolar high-risk patients appears to be an important means of prevention; nevertheless, at the moment, there aren’t clear and widely shared treatment indications. The aim of this review is to summarize the available treatment options (pharmacological, psychosocial and nutraceutical) for the management of prodromal symptoms in subjects who are at familial or clinical risk for bipolar disorder.
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Affiliation(s)
- Elisa Del Favero
- Dipartimento di Neuroscienze “Rita Levi Montalcini”, Università degli Studi di Torino, Via Cherasco 11, 10126 Turin, Italy; (E.D.F.); (P.B.); (C.B.); (C.R.)
| | - Cristiana Montemagni
- Dipartimento di Neuroscienze e Salute Mentale, A.O.U. Città Della Salute e Della Scienza, via Cherasco 11, 10126 Turin, Italy;
| | - Paola Bozzatello
- Dipartimento di Neuroscienze “Rita Levi Montalcini”, Università degli Studi di Torino, Via Cherasco 11, 10126 Turin, Italy; (E.D.F.); (P.B.); (C.B.); (C.R.)
| | - Claudio Brasso
- Dipartimento di Neuroscienze “Rita Levi Montalcini”, Università degli Studi di Torino, Via Cherasco 11, 10126 Turin, Italy; (E.D.F.); (P.B.); (C.B.); (C.R.)
| | - Cecilia Riccardi
- Dipartimento di Neuroscienze “Rita Levi Montalcini”, Università degli Studi di Torino, Via Cherasco 11, 10126 Turin, Italy; (E.D.F.); (P.B.); (C.B.); (C.R.)
| | - Paola Rocca
- Dipartimento di Neuroscienze “Rita Levi Montalcini”, Università degli Studi di Torino, Via Cherasco 11, 10126 Turin, Italy; (E.D.F.); (P.B.); (C.B.); (C.R.)
- Dipartimento di Neuroscienze e Salute Mentale, A.O.U. Città Della Salute e Della Scienza, via Cherasco 11, 10126 Turin, Italy;
- Correspondence:
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Multivariate Patterns of Brain-Behavior-Environment Associations in the Adolescent Brain and Cognitive Development Study. Biol Psychiatry 2021; 89:510-520. [PMID: 33109338 PMCID: PMC7867576 DOI: 10.1016/j.biopsych.2020.08.014] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2020] [Revised: 08/17/2020] [Accepted: 08/19/2020] [Indexed: 12/15/2022]
Abstract
BACKGROUND Adolescence is a critical developmental stage. A key challenge is to characterize how variation in adolescent brain organization relates to psychosocial and environmental influences. METHODS We used canonical correlation analysis to discover distinct patterns of covariation between measures of brain organization (brain morphometry, intracortical myelination, white matter integrity, and resting-state functional connectivity) and individual, psychosocial, and environmental factors in a nationally representative U.S. sample of 9623 individuals (aged 9-10 years, 49% female) participating in the Adolescent Brain and Cognitive Development (ABCD) study. RESULTS These analyses identified 14 reliable modes of brain-behavior-environment covariation (canonical rdiscovery = .21 to .49, canonical rtest = .10 to .39, pfalse discovery rate corrected < .0001). Across modes, neighborhood environment, parental characteristics, quality of family life, perinatal history, cardiometabolic health, cognition, and psychopathology had the most consistent and replicable associations with multiple measures of brain organization; positive and negative exposures converged to form patterns of psychosocial advantage or adversity. These showed modality-general, respectively positive or negative, associations with brain structure and function with little evidence of regional specificity. Nested within these cross-modal patterns were more specific associations between prefrontal measures of morphometry, intracortical myelination, and functional connectivity with affective psychopathology, cognition, and family environment. CONCLUSIONS We identified clusters of exposures that showed consistent modality-general associations with global measures of brain organization. These findings underscore the importance of understanding the complex and intertwined influences on brain organization and mental function during development and have the potential to inform public health policies aiming toward interventions to improve mental well-being.
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Person-based similarity in brain structure and functional connectivity in bipolar disorder. J Affect Disord 2020; 276:38-44. [PMID: 32697714 PMCID: PMC7568424 DOI: 10.1016/j.jad.2020.06.041] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/27/2020] [Revised: 05/26/2020] [Accepted: 06/16/2020] [Indexed: 11/22/2022]
Abstract
BACKGROUND Bipolar disorder shows significant variability in clinical presentation. Here we adopt a personalized approach to quantify the brain structural and functional similarity of each individual patient to other patients and to healthy individuals. METHODS Brain morphometric and resting-state functional connectivity measures from two independent samples of patients with bipolar disorder and healthy individuals (total number of participants=215) were modeled as single vectors to generated individualized morphometric and connectivity profiles. These profiles were then used to compute a person-based similarity indices which quantified the similarity in neuroimaging profiles amongst patients and between patients and health individuals. RESULTS The morphometric and connectivity profiles of patients showed within-diagnosis similarity which was comparable to that observed in healthy individuals. They also showed minimal deviance from those of healthy individuals; the correlation between the profiles of patients and healthy individuals was high (range: 0.71-0.94, p<10-5). The degree of similarity between imaging profiles was associated with IQ (for cortical thickness) and age (functional integration) rather than clinical variables. Patients who were prescribed lithium, compared to those who were not, showed greater similarity to healthy individuals in terms of network integration (t = 2.2, p = 0.03). LIMITATIONS We focused on patients with Bipolar disorder, type I only. CONCLUSIONS High inter-individual similarity in neuroimaging profiles was observed amongst patients with bipolar disorder and between patients and healthy individuals. We infer that brain alterations associated with bipolar disorder may be nested within the normal biological diversity consistent with the high prevalence of mood symptoms in the general population.
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Tate AE, McCabe RC, Larsson H, Lundström S, Lichtenstein P, Kuja-Halkola R. Predicting mental health problems in adolescence using machine learning techniques. PLoS One 2020; 15:e0230389. [PMID: 32251439 PMCID: PMC7135284 DOI: 10.1371/journal.pone.0230389] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2019] [Accepted: 02/28/2020] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Predicting which children will go on to develop mental health symptoms as adolescents is critical for early intervention and preventing future, severe negative outcomes. Although many aspects of a child's life, personality, and symptoms have been flagged as indicators, there is currently no model created to screen the general population for the risk of developing mental health problems. Additionally, the advent of machine learning techniques represents an exciting way to potentially improve upon the standard prediction modelling technique, logistic regression. Therefore, we aimed to I.) develop a model that can predict mental health problems in mid-adolescence II.) investigate if machine learning techniques (random forest, support vector machines, neural network, and XGBoost) will outperform logistic regression. METHODS In 7,638 twins from the Child and Adolescent Twin Study in Sweden we used 474 predictors derived from parental report and register data. The outcome, mental health problems, was determined by the Strengths and Difficulties Questionnaire. Model performance was determined by the area under the receiver operating characteristic curve (AUC). RESULTS Although model performance varied somewhat, the confidence interval overlapped for each model indicating non-significant superiority for the random forest model (AUC = 0.739, 95% CI 0.708-0.769), followed closely by support vector machines (AUC = 0.735, 95% CI 0.707-0.764). CONCLUSION Ultimately, our top performing model would not be suitable for clinical use, however it lays important groundwork for future models seeking to predict general mental health outcomes. Future studies should make use of parent-rated assessments when possible. Additionally, it may not be necessary for similar studies to forgo logistic regression in favor of other more complex methods.
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Affiliation(s)
- Ashley E. Tate
- Department of Medical Epidemiology and Biostatics, Karolinska Institutet, Stockholm, Sweden
| | | | - Henrik Larsson
- Department of Medical Epidemiology and Biostatics, Karolinska Institutet, Stockholm, Sweden
- School of Medical Sciences, Örebro University, Örebro, Sweden
| | - Sebastian Lundström
- Centre for Ethics, Law and Mental Health (CELAM), University of Gothenburg, Gothenburg, Sweden
- Gillberg Neuropsychiatry Centre, University of Gothenburg, Gothenburg, Sweden
| | - Paul Lichtenstein
- Department of Medical Epidemiology and Biostatics, Karolinska Institutet, Stockholm, Sweden
| | - Ralf Kuja-Halkola
- Department of Medical Epidemiology and Biostatics, Karolinska Institutet, Stockholm, Sweden
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15
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Prevention of Bipolar Disorder: Are We Almost There? Curr Behav Neurosci Rep 2020. [DOI: 10.1007/s40473-020-00203-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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Zhang X, Cheng X, Chen J, Zhang B, Wu Q, Deng W, Li X, Lin Y, Yang C, Cao L. Association of subthreshold manic symptoms and cognitive impairments in euthymic patients with bipolar disorder I. Psychiatry Res 2019; 278:303-308. [PMID: 31255953 DOI: 10.1016/j.psychres.2019.06.032] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2019] [Revised: 06/20/2019] [Accepted: 06/20/2019] [Indexed: 10/26/2022]
Abstract
Cognitive impairments exist during the euthymic period of bipolar disorder (BD). However, the impact of clinical factors (e.g., subthreshold symptoms and body mass index) on cognitive function in euthymic patients with bipolar disorder I is inconsistent. This cross-sectional study included 83 patients with euthymic BD I and 115 healthy controls. The Repeatable Battery for the Assessment of Neuropsychological Status indices were used to assess cognitive function. We assessed the relationship between cognitive function and clinical impact factors. Performance in language abilities, attention, and immediate memory was worse in euthymic BD I. Spearman's correlation revealed that indices for immediate memory and attention were negatively correlated with subthreshold manic symptoms, and indices for delayed memory were positively correlated with years of education. Linear regressions indicated that subthreshold manic symptoms were the best predictors of immediate memory and attention. Years of education predicted performance in most cognitive domains, except immediate memory. Individuals with euthymic BD I exhibited cognitive deficits in language learning, attention, and immediate memory. Our study highlights the importance of the effect of subthreshold manic symptoms on cognitive function in remitted BD; these symptoms should receive more attention and be targeted in personalized clinical therapeutic interventions.
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Affiliation(s)
- Xiaofei Zhang
- Department of Early Intervention, Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital). Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, 510370, China.
| | - Xiongchao Cheng
- Department of Medical Psychology, Guilin Mental Health Center, Fuli Road 4, Guilin, Guangxi Zhuang Autonomous Region, 541000, China.
| | - Jianshan Chen
- Department of Early Intervention, Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital). Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, 510370, China.
| | - Bin Zhang
- Department of Early Intervention, Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital). Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, 510370, China.
| | - Qiuxia Wu
- Department of Early Intervention, Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital). Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, 510370, China.
| | - Wenhao Deng
- Department of Early Intervention, Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital). Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, 510370, China.
| | - Xuan Li
- Department of Early Intervention, Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital). Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, 510370, China.
| | - Yin Lin
- Department of Psychology, Shenzhen Children's Hospital, Yitian Road 7019, Futian district, Shenzhen, 518000, China.
| | - Chanjuan Yang
- Department of Early Intervention, Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital). Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, 510370, China.
| | - Liping Cao
- Department of Early Intervention, Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital). Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, 510370, China.
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