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Bora E, Eyuboglu MS, Cesim E, Demir M, Yalincetin B, Ermis C, Özbek Uzman S, Sut E, Demirlek C, Verim B, Baykara B, Akay A, İnal N, Akdede BB. Neurocognition and social cognition in youth and young adults at ultra-high-risk for psychosis and bipolar disorder. Schizophr Res 2024; 266:58-65. [PMID: 38368706 DOI: 10.1016/j.schres.2024.02.012] [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: 08/05/2023] [Revised: 02/01/2024] [Accepted: 02/11/2024] [Indexed: 02/20/2024]
Abstract
BACKGROUND Schizophrenia and bipolar disorder are associated with significant deficits in neurocognition and social cognition. Unlike the studies in chronic stages of these disorders, very limited information is available regarding neurocognitive and social-cognitive impairment before the onset of bipolar disorder. Our main aim was to investigate the differences in neurocognition and social cognition between individuals at ultra-high risk for psychosis (UHR-P) and bipolar disorder (UHR-BD). METHODS This study included 152 help-seeking individuals identified as UHR-P (n = 78) and UHR-BD (n = 74), who were compared with a healthy control group (n = 43). A comprehensive neuropsychological battery was administered to all participants. RESULTS UHR-P was associated with widespread deficits in all neurocognitive and social-cognitive domains. Effect sizes (Cohen's d) of these deficits ranged from -0.57 to -1.34. UHR-BD was associated with significant deficits in processing speed, executive functions, sustained attention and social cognition (d = -0.48 to-0.70, p < 0.05). UHR-P performed significantly worse than UHR-BD in social cognition, processing speed, verbal memory and executive function domains (d = -0.39 to-0.64, p < 0.05). Negative symptoms were associated with impaired social cognition in the UHR-P group and verbal memory deficits in the UHR-BD group. Cognitive impairment was associated with functional impairment in both groups. CONCLUSIONS While UHR-P is associated with more widespread cognitive impairment, deficits in processing speed, executive functions, sustained attention and social cognition might be common features of both UHR groups. In early intervention services, cognition should be considered as a target for assessment and intervention not only for individuals at high risk for psychosis but also for bipolar disorder.
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Affiliation(s)
- E Bora
- Department of Psychiatry, Faculty of Medicine, Dokuz Eylul University, Izmir, Turkey; Department of Neurosciences, Health Sciences Institute, Dokuz Eylul University, Izmir, Turkey; Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Carlton South, Victoria 3053, Australia.
| | - M S Eyuboglu
- Department of Neurosciences, Health Sciences Institute, Dokuz Eylul University, Izmir, Turkey
| | - E Cesim
- Department of Neurosciences, Health Sciences Institute, Dokuz Eylul University, Izmir, Turkey
| | - M Demir
- Department of Neurosciences, Health Sciences Institute, Dokuz Eylul University, Izmir, Turkey
| | - B Yalincetin
- Department of Neurosciences, Health Sciences Institute, Dokuz Eylul University, Izmir, Turkey
| | - C Ermis
- Queen Silvia Children's Hospital, Department Child and Adolescent Psychiatry, Gothenburg, Sweden
| | - S Özbek Uzman
- Department of Psychiatry, Faculty of Medicine, Dokuz Eylul University, Izmir, Turkey
| | - E Sut
- Department of Child and Adolescent Psychiatry, Faculty of Medicine, Dokuz Eylul University, Izmir, Turkey
| | - C Demirlek
- Department of Neurosciences, Health Sciences Institute, Dokuz Eylul University, Izmir, Turkey; Department of Psychiatry, McLean Hospital, Harvard Medical School, Belmont, MA, USA
| | - B Verim
- Department of Neurosciences, Health Sciences Institute, Dokuz Eylul University, Izmir, Turkey
| | - B Baykara
- Department of Child and Adolescent Psychiatry, Faculty of Medicine, Dokuz Eylul University, Izmir, Turkey
| | - A Akay
- Department of Child and Adolescent Psychiatry, Faculty of Medicine, Dokuz Eylul University, Izmir, Turkey
| | - N İnal
- Department of Child and Adolescent Psychiatry, Faculty of Medicine, Dokuz Eylul University, Izmir, Turkey
| | - B B Akdede
- Department of Psychiatry, Faculty of Medicine, Dokuz Eylul University, Izmir, Turkey; Department of Neurosciences, Health Sciences Institute, Dokuz Eylul University, Izmir, Turkey
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Huang Y, Zhang Z, Lin S, Zhou H, Xu G. Cognitive Impairment Mechanism in Patients with Bipolar Disorder. Neuropsychiatr Dis Treat 2023; 19:361-366. [PMID: 36798654 PMCID: PMC9926924 DOI: 10.2147/ndt.s396424] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2022] [Accepted: 01/27/2023] [Indexed: 02/12/2023] Open
Abstract
Bipolar disorder (BD) is a common chronic mental disorder usually characterized by manic, hypomanic and depressive episodes. Patients diagnosed with BD have cognitive impairments in both the mood attack and remission stages, that is impairment of attention, memory and executive function. Up till the present moment, the causative mechanisms of cognitive impairment in BD patients remain poorly understood. Several studies have demonstrated that cognitive impairment in patients with bipolar disorder is not associated with a single factor, but with gene polymorphism, brain structural and functional variables, inflammatory and metabolic factors. Herein, we reviewed and summarized the recent reports on cognitive impairment mechanisms in patients with BD. To prevent or alleviate cognitive damage at an early stage, we propose that future research should focus on investigating the pathological mechanism of specific cognitive dimension damage as well as the pathological mechanism network between the damage of each dimension. It is crucial to recognize mechanisms of cognitive impairment for improving the symptoms and prognosis of BD patients, restoring their social function and integration.
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Affiliation(s)
- Yanxiong Huang
- Department of Clinical Psychology, Affiliated Longhua People's Hospital, Southern Medical University (Longhua People's Hospital), Shenzhen, Guangdong, People's Republic of China
| | - Zhilong Zhang
- The First People's Hospital of Huizhou City, Huizhou, Guangdong, People's Republic of China
| | - Shihao Lin
- The Second Clinical College, Guangzhou Medical University, Guangzhou, Guangdong, People's Republic of China
| | - Haobin Zhou
- The First Clinical College, Guangzhou Medical University, Guangzhou, Guangdong, People's Republic of China
| | - Guiyun Xu
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong, People's Republic of China
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Propper L, Sandstrom A, Rempel S, Howes Vallis E, Abidi S, Bagnell A, Lovas D, Alda M, Pavlova B, Uher R. Attention-deficit/hyperactivity disorder and other neurodevelopmental disorders in offspring of parents with depression and bipolar disorder. Psychol Med 2023; 53:559-566. [PMID: 34140050 DOI: 10.1017/s0033291721001951] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND Offspring of parents with major mood disorders (MDDs) are at increased risk for early psychopathology. We aim to compare the rates of neurodevelopmental disorders in offspring of parents with bipolar disorder, major depressive disorder, and controls. METHOD We established a lifetime diagnosis of neurodevelopmental disorders [attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, communication disorders, intellectual disabilities, specific learning disorders, and motor disorders] using the Kiddie Schedule for Affective Disorders and Schizophrenia, Present and Lifetime Version in 400 participants (mean age 11.3 + s.d. 3.9 years), including 93 offspring of parents with bipolar disorder, 182 offspring of parents with major depressive disorder, and 125 control offspring of parents with no mood disorder. RESULTS Neurodevelopmental disorders were elevated in offspring of parents with bipolar disorder [odds ratio (OR) 2.34, 95% confidence interval (CI) 1.23-4.47, p = 0.010] and major depressive disorder (OR 1.87, 95% CI 1.03-3.39, p = 0.035) compared to controls. This difference was driven by the rates of ADHD, which were highest among offspring of parents with bipolar disorder (30.1%), intermediate in offspring of parents with major depressive disorder (24.2%), and lowest in controls (14.4%). There were no significant differences in frequencies of other neurodevelopmental disorders between the three groups. Chronic course of mood disorder in parents was associated with higher rates of any neurodevelopmental disorder and higher rates of ADHD in offspring. CONCLUSIONS Our findings suggest monitoring for ADHD and other neurodevelopmental disorders in offspring of parents with MDDs may be indicated to improve early diagnosis and treatment.
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Affiliation(s)
- L Propper
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
- IWK Health Centre, Halifax, NS, Canada
| | - A Sandstrom
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
- Nova Scotia Health Authority, Halifax, NS, Canada
| | - S Rempel
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
- Nova Scotia Health Authority, Halifax, NS, Canada
| | - E Howes Vallis
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
- Nova Scotia Health Authority, Halifax, NS, Canada
| | - S Abidi
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
- IWK Health Centre, Halifax, NS, Canada
| | - A Bagnell
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
- IWK Health Centre, Halifax, NS, Canada
| | - D Lovas
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
- IWK Health Centre, Halifax, NS, Canada
| | - M Alda
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
- Nova Scotia Health Authority, Halifax, NS, Canada
| | - B Pavlova
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
- Nova Scotia Health Authority, Halifax, NS, Canada
| | - R Uher
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
- Nova Scotia Health Authority, Halifax, NS, Canada
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Zou W, Song P, Lu W, Shao R, Zhang R, Yau SY, Yuan TF, Wang Y, Lin K. Global hippocampus functional connectivity as a predictive neural marker for conversion to future mood disorder in unaffected offspring of bipolar disorder parents. Asian J Psychiatr 2022; 78:103307. [PMID: 36332319 DOI: 10.1016/j.ajp.2022.103307] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2022] [Revised: 09/06/2022] [Accepted: 09/17/2022] [Indexed: 11/25/2022]
Abstract
OBJECTIVES Hippocampus-related functional alteration in genetically at-risk individuals may reflect an endophenotype of a mood disorder. Herein, we performed a prospective study to investigate whether baseline hippocampus functional connectivity (FC) in offspring of patients with bipolar disorder (BD) would predict subsequent conversion to mood disorder. METHODS Eighty bipolar offspring and 40 matched normal controls (NC) underwent resting state functional MRI (rsfMRI) scanning on a 3.0 Tesla MR scanner. The offspring were subdivided into asymptomatic offspring (AO) (n = 41) and symptomatic offspring (SO) (n = 39) according to whether they manifested subthreshold mood symptoms. After identifying the different hippocampus FCs between the AO and SO, a logistic regression analysis was conducted to investigate whether the baseline hippocampus FCs predicted a future mood disorder during a 6-year follow-up. RESULTS We identified seven baseline para/hippocampus FCs that showed differences between AO and SO, which were entered as predictive features in the logistic regressive model. Of the 80 bipolar offspring entering the analysis, the FCs between left hippocampus and left precuneus, and between right hippocampus and left posterior cingulate, showed a discriminative capacity for predicting future mood disorder (area-under-curve, or AUC=75.76 % and 75.00 % respectively), and for predicting BD onset (AUC=77.46 % and 81.63 %, respectively). CONCLUSIONS The present findings revealed high predictive utility of the hippocampus resting state FCs for future mood disorder and BD onset in individuals at familial risk. These neural markers can potentially improve early detection of individuals carrying particularly high risk for future mood disorder.
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Affiliation(s)
- Wenjin Zou
- Department of Radiology, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Peilun Song
- School of Information Engineering, Zhengzhou University, Zhengzhou, China
| | - Weicong Lu
- Department of Affective Disorders, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Robin Shao
- Laboratory of Neuropsychology and Laboratory of Social Cognitive Affective, Neuroscience, Department of Psychology, University of Hong Kong, Hong Kong
| | - Ruoxi Zhang
- Department of Affective Disorders, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Suk-Yu Yau
- Department of Rehabilitation Sciences, Faculty of Health and Social Sciences, The Hong Kong Polytechnic University, Hong Kong
| | - Ti-Fei Yuan
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Co-innovation Center of Neuroregeneration, Nantong University, Nantong, China.
| | - Yaping Wang
- School of Information Engineering, Zhengzhou University, Zhengzhou, China.
| | - Kangguang Lin
- Department of Affective Disorders, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China; School of Health and Life Sciences, University of Health and Rehabilitation Sciences, No. 17, Shandong Road, Shinan district, Qingdao City, Shandong Province, China.
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5
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Liu T, Xu G, Lu W, Zhang R, Chen K, McIntyre RS, Teopiz KM, So KF, Lin K. Affective Temperament Traits Measured by TEMPS-A and Their Associations with Cognitive Functions among Offspring of Parents with Bipolar Disorder with and without Subthreshold Symptoms. J Affect Disord 2021; 283:377-383. [PMID: 33581463 DOI: 10.1016/j.jad.2021.01.061] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2020] [Revised: 01/06/2021] [Accepted: 01/30/2021] [Indexed: 10/22/2022]
Abstract
BACKGROUND To our knowledge, there have been no studies that have examined affective temperament traits in offspring of parents with bipolar disorder (BD). The aim of this study was to identify affective temperamental characteristics and their relationships with cognitive functions in BD offspring. METHODS A group of BD offspring were enrolled in this study. Subthreshold symptoms were used to categorize participants as either symptomatic offspring (SO) (n=60) or asymptomatic offspring (AO) (n=52). Healthy controls (HCs; n=48) were also enrolled for comparison. We used the Chinese Short Version of Temperament Evaluation of Memphis, Pisa, Paris, and San Diego, Auto-questionnaire (TEMPS-A) to measure temperament traits, and MATRICS Consensus Cognitive Battery (MCCB) to measure cognitive functions. RESULTS We observed higher cyclothymic, irritable, depressive and anxious temperament scores in SO than AO when compared to HCs. In BD offspring (SO and AO), cyclothymic individuals performed better in processing speed and verbal learning than depressive individuals and better in attention/vigilance than irritable and anxious individuals; hyperthymic individuals performed better in processing speed than depressive individuals. We also observed that a higher cyclothymic score was associated with better verbal learning and verbal fluency, a higher hyperthymic score was associated with better processing speed and verbal learning; while a higher depressive score was associated with worse processing speed, verbal learning and verbal fluency and a higher irritable score was associated with worse attention/vigilance. CONCLUSIONS The relationships between cognitive functions and measures of temperament suggest that these features may share neurobiological substrates and appear to be heritable.
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Affiliation(s)
- Tao Liu
- Department of Affective Disorders, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, 510370, China
| | - Guiyun Xu
- Department of Affective Disorders, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, 510370, China
| | - Weicong Lu
- Department of Affective Disorders, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, 510370, China
| | - Ruoxi Zhang
- Department of Affective Disorders, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, 510370, China
| | - Kun Chen
- Department of Affective Disorders, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, 510370, China
| | - Roger S McIntyre
- Mood Disorders Psychopharmacology Unit, Poul Hansen Family Centre for Depression, University Health Network, Toronto, ON, Canada
| | - Kayla M Teopiz
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON, Canada
| | - Kwok-Fai So
- Department of Affective Disorders, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, 510370, China; Guangdong-Hong Kong-Macau Institute of CNS Regeneration, Jinan University, Guangzhou, China; The State Key Laboratory of Brain and Cognitive Sciences and Department of Ophthalmology, University of Hong Kong, Hong Kong, China
| | - Kangguang Lin
- Department of Affective Disorders, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, 510370, China; Guangdong-Hong Kong-Macau Institute of CNS Regeneration, Jinan University, Guangzhou, China.
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Soler J, Lera-Miguel S, Lázaro L, Calvo R, Ferentinos P, Fañanás L, Fatjó-Vilas M. Familial aggregation analysis of cognitive performance in early-onset bipolar disorder. Eur Child Adolesc Psychiatry 2020; 29:1705-1716. [PMID: 32052174 DOI: 10.1007/s00787-020-01486-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2019] [Accepted: 01/27/2020] [Indexed: 01/03/2023]
Abstract
We analysed the familial aggregation (familiality) of cognitive dimensions and explored their role as liability markers for early-onset bipolar disorder (EOBD). The sample comprised 99 subjects from 26 families, each with an offspring diagnosed with EOBD. Four cognitive dimensions were assessed: reasoning skills; attention and working memory; memory; and executive functions. Their familiality was investigated in the total sample and in a subset of healthy relatives. The intra-family resemblance score (IRS), a family-based index of the similarity of cognitive performance among family members, was calculated. Familiality was detected for the attention and working memory (AW) dimension in the total sample (ICC = 0.37, p = 0.0004) and in the subsample of healthy relatives (ICC = 0.37, p = 0.016). The IRS reflected that there are families with similar AW mean scores (either high or low) and families with heterogeneous scores. Families with the most common background for the AW dimension (IRS > 0) were selected and dichotomized in two groups according to the mean family AW score. This allowed differentiating families whose members had similar high scores than those with similar low scores: both patients (t = - 4.82, p = 0.0005) and relatives (t = - 5.04, p < 0.0001) of the two groups differed in their AW scores. AW dimension showed familial aggregation, suggesting its putative role as a familial vulnerability marker for EOBD. The IRS estimation allowed the identification of families with homogeneous scores for this dimension. This represents a first step towards the investigation of the underlying mechanisms of AW dimension and the identification of etiological subgroups.
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Affiliation(s)
- Jordi Soler
- Departament de Biologia Evolutiva, Ecologia i Ciències Ambientals, Facultat de Biologia, Universitat de Barcelona, Barcelona, Spain
- Institut de Biomedicina de la Universitat de Barcelona (IBUB), Universitat de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
| | - Sara Lera-Miguel
- Department of Child and Adolescent Psychiatry and Psychology, Institute of Neurosciences, Hospital Clínic, Barcelona, Spain
- Department of Medicine, Faculty of Medicine, Universitat de Barcelona, Barcelona, Spain
| | - Luisa Lázaro
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
- Department of Child and Adolescent Psychiatry and Psychology, Institute of Neurosciences, Hospital Clínic, Barcelona, Spain
- Institut d'Investigació Biomèdica August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Department of Medicine, Faculty of Medicine, Universitat de Barcelona, Barcelona, Spain
| | - Rosa Calvo
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
- Department of Child and Adolescent Psychiatry and Psychology, Institute of Neurosciences, Hospital Clínic, Barcelona, Spain
- Department of Medicine, Faculty of Medicine, Universitat de Barcelona, Barcelona, Spain
| | - Panagiotis Ferentinos
- 2nd Department of Psychiatry, Medical School, National and Kapodistrian University of Athens, Attikon University Hospital, Athens, Greece
| | - Lourdes Fañanás
- Departament de Biologia Evolutiva, Ecologia i Ciències Ambientals, Facultat de Biologia, Universitat de Barcelona, Barcelona, Spain
- Institut de Biomedicina de la Universitat de Barcelona (IBUB), Universitat de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
| | - Mar Fatjó-Vilas
- Departament de Biologia Evolutiva, Ecologia i Ciències Ambientals, Facultat de Biologia, Universitat de Barcelona, Barcelona, Spain.
- Institut de Biomedicina de la Universitat de Barcelona (IBUB), Universitat de Barcelona, Barcelona, Spain.
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain.
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain.
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Lin K, Shao R, Wang R, Lu W, Zou W, Chen K, Gao Y, Brietzke E, McIntyre RS, Mansur RB, Zhang L, Yau SY, Su H, Xu G, So KF. Inflammation, brain structure and cognition interrelations among individuals with differential risks for bipolar disorder. Brain Behav Immun 2020; 83:192-199. [PMID: 31614176 DOI: 10.1016/j.bbi.2019.10.010] [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: 07/26/2019] [Revised: 09/27/2019] [Accepted: 10/11/2019] [Indexed: 12/11/2022] Open
Abstract
Neuro-inflammation might impact on clinical manifestations and cognition function via changing the volumes of key brain structures such as the anterior cingulate cortex (ACC) in bipolar disorder (BD). In this study, we investigated the interrelations among interleukin (IL)-6 cytokine level, grey matter (GM) volume of the anterior cingulated cortex (ACC), and attention function among offspring of parents diagnosed with BD. The offspring were categorized as being either asymptomatic or symptomatic based on whether they manifested pre-defined sub-threshold mood symptoms. We found that the symptomatic offspring showed significantly higher serum levels of IL-6 than the asymptomatic offspring (F(1, 59) = 67.65, p < 0.001). On the brain level, we obtained significant interactive effect of group and IL6 level on the ACC GM (PFWE = 0.017). Specifically, the GM volume of the rostral ACC was negatively associated with the levels of IL-6 in the asymptomatic offspring (PFWE = 0.021), but not the symptomatic offspring (PFWE > 0.05). Mediation analyses revealed that the GM volume of the rostral ACC significantly mediated the negative association between the IL-6 levels and attention performance in the asymptomatic offspring (bootstrapping Confidence Interval (CI) = -6.0432 to -0.0731) but not the symptomatic offspring (bootstrapping CI = -0.3197 to 1.3423). Our data suggest that the asymptomatic and symptomatic bipolar offspring may exhibit different neurocognitive-inflammatory profiles, which could be further validated as viable biosignatures for BD risk and resilience.
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Affiliation(s)
- Kangguang Lin
- Department of Affective Disorders, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China; Academician Workstation of Mood and Brain Sciences, Guangzhou Medical University, China; Guangdong-Hong Kong-Macau Institute of CNS Regeneration, Jinan University, Guangzhou, China; Laboratory of Neuropsychology and Laboratory of Social Cognitive Affective Neuroscience, Department of Psychology, University of Hong Kong, Hong Kong.
| | - Robin Shao
- Laboratory of Neuropsychology and Laboratory of Social Cognitive Affective Neuroscience, Department of Psychology, University of Hong Kong, Hong Kong.
| | - Runhua Wang
- Department of Affective Disorders, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China; Academician Workstation of Mood and Brain Sciences, Guangzhou Medical University, China
| | - Weicong Lu
- Department of Affective Disorders, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China
| | - Wenjin Zou
- Department of Radiology, The Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Kun Chen
- Department of Affective Disorders, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China; Academician Workstation of Mood and Brain Sciences, Guangzhou Medical University, China
| | - Yanling Gao
- Department of Affective Disorders, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China; Academician Workstation of Mood and Brain Sciences, Guangzhou Medical University, China
| | - Elisa Brietzke
- Department of Psychiatry, Queen's University, School of Medicine, Kingston, ON, Canada
| | - Roger S McIntyre
- Academician Workstation of Mood and Brain Sciences, Guangzhou Medical University, China; Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, Canada
| | - Rodrigo B Mansur
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, Canada
| | - Li Zhang
- Guangdong-Hong Kong-Macau Institute of CNS Regeneration, Jinan University, Guangzhou, China
| | - Suk-Yu Yau
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hung Hom, Hong Kong
| | - Huanxing Su
- Academician Workstation of Mood and Brain Sciences, Guangzhou Medical University, China
| | - Guiyun Xu
- Department of Affective Disorders, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China
| | - Kwok-Fai So
- Academician Workstation of Mood and Brain Sciences, Guangzhou Medical University, China; Guangdong-Hong Kong-Macau Institute of CNS Regeneration, Jinan University, Guangzhou, China; The State Key Laboratory of Brain and Cognitive Sciences and Department of Ophthalmology, University of Hong Kong, Hong Kong.
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8
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Can G, Bora E, Ildız A, Ulas G, Ongun CH, Sprooten E, Frangou S, Inal NE, Ozerdem A. Neurocognition in young offspring of individuals with bipolar disorder: The role of co-existing familial and clinical high-risk for bipolar disorder. Psychiatry Res 2019; 281:112565. [PMID: 31586839 DOI: 10.1016/j.psychres.2019.112565] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2019] [Revised: 09/10/2019] [Accepted: 09/12/2019] [Indexed: 12/01/2022]
Abstract
Bipolar disorder (BD) is associated with cognitive dysfunction which has also been reported in offspring of individuals with BD (BDoff). However, it remains unclear whether cognitive underperformance in BDoff is associated with the presence of history of subclinical syndromes associated with risk for BD. To address this knowledge gap we assessed executive function, visual and verbal memory, working memory, processing speed and verbal fluency in 21 offspring with clinical high risk (CHR; BDoff+CHR), 54 offspring without CHR (BDoff-non-CHR), and 50 healthy individuals without familial risk of BD. BDoff underperformed compared to controls in most cognitive tasks. There was no significant neurocognitive difference between BDoff+CHR and BDoff-non-CHR except in the fluency/central executive domain (Cohen's d = 0.60, p = 0.03). Our results suggest that cognitive dysfunction in multiple domains is associated with familial predisposition to BD regardless of CHR status. On the other hand, abnormalities in central executive processes might be more pronounced in BDoff+CHR than BDoff-non-CHR. Further longitudinal studies investigating cognitive trajectory of BDoff and its interaction with the emergence of subclinical syndromes are needed to fully characterize the relationship between cognition and mood dysregulation in BD.
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Affiliation(s)
- Gunes Can
- Department of Psychiatry, Mardin State Hospital, Mardin, Turkey
| | - Emre Bora
- Dokuz Eylul University, Faculty of Medicine, Department of Psychiatry, Izmir, Turkey; Dokuz Eylul University, Institute of Neuroscience, Izmir, Turkey; Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne.
| | - Aysegul Ildız
- Dokuz Eylul University, Institute of Neuroscience, Izmir, Turkey
| | - Gozde Ulas
- Department of Child and Adolescent Psychiatry, Çankırı State Hospital, Çankırı, Turkey
| | | | - Emma Sprooten
- Radboud University, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, the Netherlands
| | - Sophia Frangou
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, United States
| | - Neslihan Emiroglu Inal
- Dokuz Eylul University Faculty of Medicine, Department of Child and Adolescent Psychiatry, Izmir, Turkey
| | - Aysegul Ozerdem
- Dokuz Eylul University, Faculty of Medicine, Department of Psychiatry, Izmir, Turkey; Dokuz Eylul University, Institute of Neuroscience, Izmir, Turkey; Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, United States
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Zhang R, Shao R, Xu G, Lu W, Zheng W, Miao Q, Chen K, Gao Y, Bi Y, Guan L, McIntyre RS, Deng Y, Huang X, So KF, Lin K. Aberrant brain structural-functional connectivity coupling in euthymic bipolar disorder. Hum Brain Mapp 2019; 40:3452-3463. [PMID: 31282606 DOI: 10.1002/hbm.24608] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2019] [Revised: 03/28/2019] [Accepted: 04/16/2019] [Indexed: 12/14/2022] Open
Abstract
Aberrant structural (diffusion tensor imaging [DTI]) and resting-state functional magnetic resonance imagining connectivity are core features of bipolar disorder. However, few studies have explored the integrity agreement between structural and functional connectivity (SC-FC) in bipolar disorder. We examine SC connectivity coupling index whether could potentially provide additional clinical predictive value for bipolar disorder spectrum disorders besides the intramodality network measures. By examining the structural (DTI) and resting-state functional network properties, as well as their coupling index, among 57 euthymic bipolar disorder patients (age 13-28 years, 18 females) and 42 age- and gender-matched healthy controls (age 13-28 years, 16 females), we found that compared to controls, bipolar disorder patients showed increased structural rich-club connectivity as well as decreased functional modularity. Importantly, the coupling strength between structural and functional connectome was decreased in patients compared to controls, which emerged as the most powerful feature discriminating the two groups. Our findings suggest that structural-functional coupling strength could serve as a valuable biological trait-like feature for bipolar disorder over and above the intramodality network measures. Such measure can have important clinical implications for early identification of bipolar disorder individuals, and inform strategies for prevention of bipolar disorder onset and relapse.
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Affiliation(s)
- Ruibin Zhang
- Department of Affective Disorders, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China.,Laboratory of Neuropsychology, Laboratory of Social Cognitive Affective Neuroscience, Department of Psychology, The University of Hong Kong, Hong Kong, China.,Department of Psychology, School of Public Health, Southern Medical University (Guangdong Provincial Key Laboratory of Tropical Disease Research), Guangzhou, China
| | - Robin Shao
- Laboratory of Neuropsychology, Laboratory of Social Cognitive Affective Neuroscience, Department of Psychology, The University of Hong Kong, Hong Kong, China
| | - Guiyun Xu
- Department of Affective Disorders, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China.,Academician workstation of Mood and Brain Sciences, Guangzhou Medical University, Guangzhou, China.,Laboratory of Emotion and Cognition, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Weicong Lu
- Department of Affective Disorders, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China.,Laboratory of Emotion and Cognition, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Wenjing Zheng
- Department of Affective Disorders, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China.,Laboratory of Emotion and Cognition, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Qingzhe Miao
- Department of Affective Disorders, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China
| | - Kun Chen
- Department of Affective Disorders, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China.,Laboratory of Emotion and Cognition, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yanling Gao
- Department of Affective Disorders, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China.,Laboratory of Emotion and Cognition, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yanan Bi
- Department of Affective Disorders, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China.,Laboratory of Emotion and Cognition, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Lijie Guan
- Department of Affective Disorders, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China
| | - Roger S McIntyre
- Academician workstation of Mood and Brain Sciences, Guangzhou Medical University, Guangzhou, China.,Department of Psychiatry, University of Toronto, Toronto, Canada.,Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, Canada
| | - Yue Deng
- Department of Psychology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xuejun Huang
- Department of Psychology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Kwok-Fai So
- Academician workstation of Mood and Brain Sciences, Guangzhou Medical University, Guangzhou, China.,GMH Institute of CNS Regeneration, Jinan University, Guangzhou, China.,The State Key Laboratory of Brain and Cognitive Sciences and Department of Ophthalmology, University of Hong Kong, Hong Kong, China
| | - Kangguang Lin
- Department of Affective Disorders, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China.,Laboratory of Neuropsychology, Laboratory of Social Cognitive Affective Neuroscience, Department of Psychology, The University of Hong Kong, Hong Kong, China.,Academician workstation of Mood and Brain Sciences, Guangzhou Medical University, Guangzhou, China.,Laboratory of Emotion and Cognition, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China.,GMH Institute of CNS Regeneration, Jinan University, Guangzhou, China
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10
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Bauer IE, Suchting R, Van Rheenen TE, Wu MJ, Mwangi B, Spiker D, Zunta-Soares GB, Soares JC. The use of component-wise gradient boosting to assess the possible role of cognitive measures as markers of vulnerability to pediatric bipolar disorder. Cogn Neuropsychiatry 2019; 24:93-107. [PMID: 30774035 PMCID: PMC6675623 DOI: 10.1080/13546805.2019.1580190] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/17/2018] [Accepted: 01/27/2019] [Indexed: 01/22/2023]
Abstract
BACKGROUND AND AIMS Cognitive impairments are primary hallmarks symptoms of bipolar disorder (BD). Whether these deficits are markers of vulnerability or symptoms of the disease is still unclear. This study used a component-wise gradient (CGB) machine learning algorithm to identify cognitive measures that could accurately differentiate pediatric BD, unaffected offspring of BD parents, and healthy controls. METHODS 59 healthy controls (HC; 11.19 ± 3.15 yo; 30 girls), 119 children and adolescents with BD (13.31 ± 3.02 yo, 52 girls) and 49 unaffected offspring of BD parents (UO; 9.36 ± 3.18 yo; 22 girls) completed the CANTAB cognitive battery. RESULTS CGB achieved accuracy of 73.2% and an AUROC of 0.785 in classifying individuals as either BD or non-BD on a dataset held out for validation for testing. The strongest cognitive predictors of BD were measures of processing speed and affective processing. Measures of cognition did not differentiate between UO and HC. CONCLUSIONS Alterations in processing speed and affective processing are markers of BD in pediatric populations. Longitudinal studies should determine whether UO with a cognitive profile similar to that of HC are at less or equal risk for mood disorders. Future studies should include relevant measures for BD such as verbal memory and genetic risk scores.
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Affiliation(s)
- Isabelle E. Bauer
- The University of Texas Health Science Center at Houston, Department of Psychiatry and Behavioral Sciences, Houston (Texas), USA
| | - Robert Suchting
- The University of Texas Health Science Center at Houston, Department of Psychiatry and Behavioral Sciences, Houston (Texas), USA
| | - Tamsyn E. Van Rheenen
- Melbourne Neuropsychiatry Centre, Level 3, Alan Gilbert Building, 161 Barry St, Carlton, VIC 3053, Australia
- Brain and Psychological Sciences Research Centre (BPsyC), Faculty of Health, Arts and Design, School of Health Sciences, Swinburne University, Victoria, Australia
| | - Mon-Ju Wu
- The University of Texas Health Science Center at Houston, Department of Psychiatry and Behavioral Sciences, Houston (Texas), USA
| | - Benson Mwangi
- The University of Texas Health Science Center at Houston, Department of Psychiatry and Behavioral Sciences, Houston (Texas), USA
| | - Danielle Spiker
- The University of Texas Health Science Center at Houston, Department of Psychiatry and Behavioral Sciences, Houston (Texas), USA
| | - Giovana B. Zunta-Soares
- The University of Texas Health Science Center at Houston, Department of Psychiatry and Behavioral Sciences, Houston (Texas), USA
| | - Jair C. Soares
- The University of Texas Health Science Center at Houston, Department of Psychiatry and Behavioral Sciences, Houston (Texas), USA
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11
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Chakrabarty T, Yatham LN. Objective and biological markers in bipolar spectrum presentations. Expert Rev Neurother 2019; 19:195-209. [PMID: 30761925 DOI: 10.1080/14737175.2019.1580145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
INTRODUCTION Subthreshold presentations of bipolarity (BSPs) pose a diagnostic conundrum, in terms of whether they should be conceptualized and treated similarly as traditionally defined bipolar disorders (BD). While it has been argued that BSPs are on a pathophysiologic continuum with traditionally defined BDs, there has been limited examination of biological and objective markers in these presentations to validate this assertion. Areas covered: The authors review studies examining genetic, neurobiological, cognitive and peripheral markers in BSPs, encompassing clinical and non-clinical populations with subthreshold hypo/manic symptoms. Results are placed in the context of previously identified markers in traditionally defined BDs. Expert commentary: There have been few studies of objective and biological markers in subthreshold presentations of BD, and results are mixed. While abnormalities in brain structure/functioning, peripheral inflammatory, and cognitive markers have been reported, it is unclear whether these findings are specific to BD or indicative of broad affective pathology. However, some studies suggest that increased sensitivity to reward and positive stimuli are shared between subthreshold and traditionally defined BDs, and may represent a point of departure from unipolar major depression. Further examination of such markers may improve understanding of subthreshold bipolar presentations, and provide guidance in terms of therapeutic strategies.
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Affiliation(s)
- Trisha Chakrabarty
- a Department of Psychiatry , University of British Columbia , Vancouver , BC , Canada
| | - Lakshmi N Yatham
- a Department of Psychiatry , University of British Columbia , Vancouver , BC , Canada
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12
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Toma S, Fiksenbaum L, Omrin D, Goldstein BI. Elevated Familial Cardiovascular Burden Among Adolescents With Familial Bipolar Disorder. Front Psychiatry 2019; 10:8. [PMID: 30761021 PMCID: PMC6361809 DOI: 10.3389/fpsyt.2019.00008] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2018] [Accepted: 01/08/2019] [Indexed: 02/01/2023] Open
Abstract
Background: Bipolar disorder (BD) is one of the most heritable medical conditions, and certain phenotypic characteristics are especially familial in BD. BD is also strongly associated with elevated and premature cardiovascular disease (CVD) morbidity and mortality. Thus, far, little is known regarding the familiality of cardiovascular risk in BD. We therefore examined the extent of CVD-related conditions among relatives of: adolescents with BD with a family history of BD (familial BD), adolescents with BD without a family history of BD (non-familial BD) and healthy controls (HC). Materials and Methods: The sample included 372 adolescents; 75 with familial BD, 96 with non-familial BD, and 201 HC. Parents of the adolescents completed the CARDIA Family Medical History interview regarding the adolescents' first- and second- degree adult relatives. We computed a "cardiovascular risk score" (CRS) for each relative, based on the sum of the presence of diabetes, hypertension, obesity, dyslipidemia, stroke, angina, and myocardial infarction (range 0-7). Primary analyses examined for group differences in mean overall CRS scores among first and second- degree relatives combined, controlling for age, sex, and race. Secondary analyses examined first- and second-degree relatives separately, controlling for age, sex, and race. Results: There were significant between-group differences in CRS in first- and second- degree relatives combined, following the hypothesized ordering: CRS was highest among adolescents with familial BD (1.14 ± 0.78), intermediate among adolescents with non-familial BD (0.92 ± 0.79) and lowest in HC (0.76 ± 0.79; F = 6.23, df = 2, p = 0.002, ηp 2 = 0.03). There was a significant pairwise difference between adolescents with familial BD and HC (p = 0.002, Cohen's d = 0.49). A similar pattern of between-group differences was identified when first-degree and second-degree relatives were examined separately. Limitations: familial cardiovascular burden was determined based on parent interview, not evaluated directly. Conclusions: Adolescents with BD with a family history of BD have elevated rates of CVD-related conditions among their relatives. This may be related to genetic overlap between BD and CVD-related conditions, shared environmental factors that contribute to both BD and CVD-related conditions, or a combination of these factors. More research is warranted to better understand the interaction between familial risk for BD and CVD, and to address this risk using family-wide preventive approaches.
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Affiliation(s)
- Simina Toma
- Centre for Youth Bipolar Disorder, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Lisa Fiksenbaum
- Centre for Youth Bipolar Disorder, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Danielle Omrin
- Centre for Youth Bipolar Disorder, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Benjamin I. Goldstein
- Centre for Youth Bipolar Disorder, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Department of Pharmacology, University of Toronto, Toronto, ON, Canada
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13
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Lin K, Shao R, Geng X, Chen K, Lu R, Gao Y, Bi Y, Lu W, Guan L, Kong J, Xu G, So KF. Illness, at-risk and resilience neural markers of early-stage bipolar disorder. J Affect Disord 2018; 238:16-23. [PMID: 29852342 DOI: 10.1016/j.jad.2018.05.017] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2018] [Revised: 04/06/2018] [Accepted: 05/15/2018] [Indexed: 01/10/2023]
Abstract
BACKGROUND Current knowledge on objective and specific neural markers for bipolar risk and resilience-related processes is lacking, partly due to not subdividing high-risk individuals manifesting different levels of subclinical symptoms who possibly possess different levels of resilience. METHODS We delineated grey matter markers for bipolar illness, genetic high risk (endophenotype) and resilience, through comparing across 42 young non-comorbid bipolar patients, 42 healthy controls, and 72 diagnosis-free, medication-naive high-genetic-risk individuals subdivided into a combined-high-risk group who additionally manifested bipolar risk-relevant subsyndromes (N = 38), and an asymptomatic high-risk group (N = 34). Complementary analyses assessed the additional predictive and classification values of grey matter markers beyond those of clinical scores, through using logistic regression and support vector machine analyses. RESULTS Illness-related effects manifested as reduced grey matter volumes of bilateral temporal limbic-striatal and cerebellar regions, which significantly differentiated bipolar patients from healthy controls and improved clinical classification specificity by 20%. Reduced bilateral cerebellar grey matter volume emerged as a potential endophenotype and (along with parieto-occipital grey matter changes) separated combined-high-risk individuals from healthy and high-risk individuals, and increased clinical classification specificity by approximately 10% and 27%, respectively, while the relatively normalized cerebellar grey matter volumes in the high-risk sample may confer resilience. LIMITATIONS The cross-validation procedure was not performed on an independent sample using independently-derived features. The BD group had different age and sex distributions than some other groups which may not be fully addressable statistically. CONCLUSIONS Our framework can be applied in other measurement domains to derive complete profiles for bipolar patients and at-risk individuals, towards forming strategies for promoting resilience and preclinical intervention.
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Affiliation(s)
- Kangguang Lin
- Department of Affective Disorders, Guangzhou Brain Hospital, The Affiliated Hospital of Guangzhou Medical University, 36 Mingxin Road, Guangzhou, Guangdong 510370, China; Laboratory of Emotion and Cognition, The Affiliated Hospital of Guangzhou Medical University, Guangzhou, China; GMH Institute of CNS Regeneration, Jinan University, Guangzhou, China; GMU-HKU Mood and Brain Science Center, Guangzhou, China.
| | - Robin Shao
- Department of Affective Disorders, Guangzhou Brain Hospital, The Affiliated Hospital of Guangzhou Medical University, 36 Mingxin Road, Guangzhou, Guangdong 510370, China; Laboratory of Emotion and Cognition, The Affiliated Hospital of Guangzhou Medical University, Guangzhou, China; GMU-HKU Mood and Brain Science Center, Guangzhou, China; The State Key Laboratory of Brain and Cognitive Sciences and Department of Ophthalmology, The University of Hong Kong, Hong Kong; Laboratory of Neuropsychology and Laboratory of Social Cognitive Affective Neuroscience, Department of Psychology, University of Hong Kong, Hong Kong
| | - Xiujuan Geng
- The State Key Laboratory of Brain and Cognitive Sciences and Department of Ophthalmology, The University of Hong Kong, Hong Kong; Laboratory of Neuropsychology and Laboratory of Social Cognitive Affective Neuroscience, Department of Psychology, University of Hong Kong, Hong Kong
| | - Kun Chen
- Department of Affective Disorders, Guangzhou Brain Hospital, The Affiliated Hospital of Guangzhou Medical University, 36 Mingxin Road, Guangzhou, Guangdong 510370, China; Laboratory of Emotion and Cognition, The Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Rui Lu
- Department of Affective Disorders, Guangzhou Brain Hospital, The Affiliated Hospital of Guangzhou Medical University, 36 Mingxin Road, Guangzhou, Guangdong 510370, China
| | - Yanling Gao
- Department of Affective Disorders, Guangzhou Brain Hospital, The Affiliated Hospital of Guangzhou Medical University, 36 Mingxin Road, Guangzhou, Guangdong 510370, China; Laboratory of Emotion and Cognition, The Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yanan Bi
- Department of Affective Disorders, Guangzhou Brain Hospital, The Affiliated Hospital of Guangzhou Medical University, 36 Mingxin Road, Guangzhou, Guangdong 510370, China; Laboratory of Emotion and Cognition, The Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Weicong Lu
- Department of Affective Disorders, Guangzhou Brain Hospital, The Affiliated Hospital of Guangzhou Medical University, 36 Mingxin Road, Guangzhou, Guangdong 510370, China; Laboratory of Emotion and Cognition, The Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Lijie Guan
- Department of Affective Disorders, Guangzhou Brain Hospital, The Affiliated Hospital of Guangzhou Medical University, 36 Mingxin Road, Guangzhou, Guangdong 510370, China; Laboratory of Emotion and Cognition, The Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Jiehua Kong
- Department of Affective Disorders, Guangzhou Brain Hospital, The Affiliated Hospital of Guangzhou Medical University, 36 Mingxin Road, Guangzhou, Guangdong 510370, China; Laboratory of Emotion and Cognition, The Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Guiyun Xu
- Department of Affective Disorders, Guangzhou Brain Hospital, The Affiliated Hospital of Guangzhou Medical University, 36 Mingxin Road, Guangzhou, Guangdong 510370, China; Laboratory of Emotion and Cognition, The Affiliated Hospital of Guangzhou Medical University, Guangzhou, China; GMU-HKU Mood and Brain Science Center, Guangzhou, China
| | - Kwok-Fai So
- GMH Institute of CNS Regeneration, Jinan University, Guangzhou, China; GMU-HKU Mood and Brain Science Center, Guangzhou, China; The State Key Laboratory of Brain and Cognitive Sciences and Department of Ophthalmology, The University of Hong Kong, Hong Kong
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14
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Resting-state fMRI signals in offspring of parents with bipolar disorder at the high-risk and ultra-high-risk stages and their relations with cognitive function. J Psychiatr Res 2018; 98:99-106. [PMID: 29331931 DOI: 10.1016/j.jpsychires.2018.01.001] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2017] [Revised: 01/07/2018] [Accepted: 01/08/2018] [Indexed: 01/03/2023]
Abstract
BACKGROUND Bipolar disorder (BD) has been associated with dysfunctional resting-state brain functioning. However, it is still not known whether the aberrant functioning occurs and predict cognitive functioning before illness onset. AIMS We examined the resting-state regional and network dysfunctioning, and their correlates with neurocognitive performance, in the high-risk (HR) and ultra-high-risk (UHR) stages of bipolar disorder. METHODS Using amplitude of low-frequency fluctuations (ALFF), region homogeneity (ReHo) and hypothesis-driven region-of-interest (ROI)-based connectivity, we examined resting-state fMRI data of 8- to 25-year-old healthy offspring (HR, n = 28) and offspring with subthreshold syndromes (UHR, n = 22) of a BD parent, and age-matched healthy controls without any personal or family psychopathology (HC, n = 46). Participants' neurocognitive profiles were assessed using the MATRICS Consensus Cognitive Battery (MCCB). RESULTS ALFF signals in the left putamen and right rolandic operculum were lower in the HR group compared to the HC group. In contrast, ALFF signals were increased in the UHR group in the right middle pars orbitalis of the inferior frontal gyrus, right calcarine sulcus and right cerebellum. Connectivities between the right amygdala and left inferior temporal gyrus, between the left hippocampus and inferior occipital gyrus, and between the left hippocampus and middle pars orbitalis gyrus were decreased in the HR group compared to the HC group. In UHR versus HC group, connectivity between the right amygdala and the left hippocampus and left insula was increased, and connectivity between the left hippocampus and the left insula and the cerebellum was also increased. Among cognitive measures, processing speed was positively correlated with ALFF signals in the left putamen in the HR offspring. In the UHR offspring, processing speed, attention, and verbal learning/memory were positively correlated with the functional connectivity between the left hippocampus and cerebellum. CONCLUSIONS Offspring of parents with BD in the HR and UHR stages show largely non-overlapping patterns of atypical resting-state signals and functional connectivity that predicted cognitive functioning, possibly reflecting inherited abnormalities and/or complimentary reactions.
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15
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Perlini C, Bellani M, Finos L, Lasalvia A, Bonetto C, Scocco P, D'Agostino A, Torresani S, Imbesi M, Bellini F, Konze A, Veronese A, Ruggeri M, Brambilla P. Non literal language comprehension in a large sample of first episode psychosis patients in adulthood. Psychiatry Res 2018; 260:78-89. [PMID: 29175503 DOI: 10.1016/j.psychres.2017.11.032] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2017] [Revised: 09/22/2017] [Accepted: 11/08/2017] [Indexed: 01/28/2023]
Abstract
To date no data still exist on the comprehension of figurative language in the early phases of psychosis. The aim of this study is to investigate for the first time the comprehension of metaphors and idioms at the onset of the illness. Two-hundred-twenty eight (228) first episode psychosis (FEP) patients (168 NAP, non-affective psychosis; 60 AP, affective psychosis) and 70 healthy controls (HC) were assessed. Groups were contrasted on: a) type of stimulus (metaphors vs idioms) and b) type of response (OPEN = spontaneous explanations vs CLOSED = multiple choice answer). Moreover, a machine learning (ML) approach was adopted to classifying participants. Both NAP and AP had a poorer performance on OPEN metaphors and idioms compared to HC, with worse results on spontaneous interpretation of idioms than metaphors. No differences were observed between NAP and AP in CLOSED tasks. The ML approach points at CLOSED idioms as the best discriminating variable, more relevant than the set of pre-frontal and IQ scores. Deficits in non-figurative language may represent a core feature of psychosis. The possibility to identify linguistic features discriminating FEP may support the early recognition of patients at risk to develop psychosis, guiding provision of personalized and timely interventions.
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Affiliation(s)
- Cinzia Perlini
- Department of Neurosciences, Biomedicine and Movement Sciences, Section of Clinical Psychology, University of Verona, Italy
| | - Marcella Bellani
- UOC of Psychiatry, Azienda Ospedaliera Universitaria Integrata (AOUI) of Verona, Italy
| | - Livio Finos
- Department of Developmental Psychology and Socialization, University of Padua, Italy
| | - Antonio Lasalvia
- UOC of Psychiatry, Azienda Ospedaliera Universitaria Integrata (AOUI) of Verona, Italy
| | - Chiara Bonetto
- Department of Neurosciences, Biomedicine and Movement Sciences, Section of Psychiatry, University of Verona, Italy
| | - Paolo Scocco
- Department of Mental Health, AULSS 6 Euganea, Padua, Italy
| | - Armando D'Agostino
- Department of Health Sciences, San Paolo University Hospital, University of Milan, Milano, Milan, Italy
| | - Stefano Torresani
- Department of Psychiatry, ULSS, Bolzano Suedtiroler Sanitaetbetrieb- Azienda Sanitaria dell'Alto Adige, Bolzano, Italy
| | | | | | - Angela Konze
- SOC Radiology - S.Maria Nuova Hospital, Usl Central Tuscany, Florence, Italy
| | | | - Mirella Ruggeri
- UOC of Psychiatry, Azienda Ospedaliera Universitaria Integrata (AOUI) of Verona, Italy; Department of Neurosciences, Biomedicine and Movement Sciences, Section of Psychiatry, University of Verona, Italy
| | - Paolo Brambilla
- Department of Neurosciences and Mental Health, Psychiatric Clinic, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy; Department of Psychiatry and Behavioural Neurosciences, University of Texas at Houston, TX, USA.
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16
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Intellectual Functioning in Offspring of Parents with Bipolar Disorder: A Review of the Literature. Brain Sci 2017; 7:brainsci7110143. [PMID: 29143763 PMCID: PMC5704150 DOI: 10.3390/brainsci7110143] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2017] [Revised: 10/12/2017] [Accepted: 10/20/2017] [Indexed: 11/17/2022] Open
Abstract
Impaired intellectual functioning is an important risk factor for the emergence of severe mental illness. Unlike many other forms of mental disorder however, the association between bipolar disorder and intellectual deficits is unclear. In this narrative review, we examine the current evidence on intellectual functioning in children and adolescents at risk for developing bipolar disorder. The results are based on 18 independent, peer-reviewed publications from 1980 to 2017 that met criteria for this study. The findings yielded no consistent evidence of lower or higher intellectual quotient (IQ) in offspring of parents diagnosed with bipolar disorder. Some tentative evidence was found for lower performance IQ in offspring of bipolar parents as compared to controls. It is recommended that future research examine variability in intellectual functioning and potential moderators. These findings demonstrate the need to examine how intellectual functioning unfolds across development given the potential role of IQ as a marker of vulnerability or resilience in youth at high risk for affective disorders.
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