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Reddy PV, Anandan S, Rakesh G, Shivakumar V, Joseph B, Vasu SK, Agarwal SM, Muralidharan K, Venkatasubramanian G, Narayanaswamy JC. Emotion Processing Deficit in Euthymic Bipolar Disorder: A Potential Endophenotype. Indian J Psychol Med 2022; 44:145-151. [PMID: 35655991 PMCID: PMC9120978 DOI: 10.1177/02537176211026795] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Emotion processing deficits have been described in patients with bipolar disorder (BD) and are considered one of the core cognitive abnormalities in BD with endophenotype potential. However, the literature on specific impairments in emotion processing cognitive strategies (directive/cortical/higher versus intuitive/limbic/lower) in euthymic adult BD patients and healthy first-degree relatives/high-risk (HR) subjects in comparison with healthy controls (HCs) is sparse. METHODS We examined facial emotion recognition deficits (FERD) in BD (N = 30), HR (N = 21), and HC (N = 30) matched for age (years), years of education, and sex using computer-administered face emotions-Matching And Labeling Task (eMALT). RESULTS The three groups were significantly different based on labeling accuracy scores for fear and anger (FA) (P < 0.001) and sad and disgust (SD) (P < 0.001). On post-hoc analysis, HR subjects exhibited a significant deficit in the labeling accuracy of FA facial emotions (P < 0.001) compared to HC. The BD group was found to have significant differences in all FA (P = 0.004) and SD (P = 0.003) emotion matching as well as FA (P = 0.001) and SD (P < 0.001) emotion labeling accuracy scores. CONCLUSIONS BD in remission exhibits FERD in general, whereas specific labeling deficits of fear and anger emotions, indicating impaired directive higher order aspect of emotion processing, were demonstrated in HR subjects. This appears to be a potential endophenotype. These deficits could underlie the pathogenesis in BD, with possible frontolimbic circuitry impairment. They may have potential implications in functional recovery and prognosis of BD.
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Affiliation(s)
- Preethi V Reddy
- Dept. of Psychiatry & Translational Psychiatry Laboratory, Cognitive Neurobiology Division, Neurobiology Research Centre, National Institute of Mental Health & Neurosciences, Bengaluru, Karnataka, India
| | - Saravanakumar Anandan
- Dept. of Psychiatry & Translational Psychiatry Laboratory, Cognitive Neurobiology Division, Neurobiology Research Centre, National Institute of Mental Health & Neurosciences, Bengaluru, Karnataka, India
| | - Gopalkumar Rakesh
- Dept. of Psychiatry, University of Kentucky, Lexington, Kentucky, USA
| | - Venkatarama Shivakumar
- Dept. of Psychiatry & Translational Psychiatry Laboratory, Cognitive Neurobiology Division, Neurobiology Research Centre, National Institute of Mental Health & Neurosciences, Bengaluru, Karnataka, India
| | - Boban Joseph
- Dept. of Psychiatry & Translational Psychiatry Laboratory, Cognitive Neurobiology Division, Neurobiology Research Centre, National Institute of Mental Health & Neurosciences, Bengaluru, Karnataka, India
| | - Sunil Kalmady Vasu
- Canadian VIGOUR Centre, University of Alberta, Edmonton, Alberta, Canada
| | - Sri Mahavir Agarwal
- Centre for Addiction and Mental Health, Dept. of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Kesavan Muralidharan
- Dept. of Psychiatry & Translational Psychiatry Laboratory, Cognitive Neurobiology Division, Neurobiology Research Centre, National Institute of Mental Health & Neurosciences, Bengaluru, Karnataka, India
| | - Ganesan Venkatasubramanian
- Dept. of Psychiatry & Translational Psychiatry Laboratory, Cognitive Neurobiology Division, Neurobiology Research Centre, National Institute of Mental Health & Neurosciences, Bengaluru, Karnataka, India
| | - Janardhanan C Narayanaswamy
- Dept. of Psychiatry & Translational Psychiatry Laboratory, Cognitive Neurobiology Division, Neurobiology Research Centre, National Institute of Mental Health & Neurosciences, Bengaluru, Karnataka, India
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2
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MacPherson HA, Kudinova AY, Jenkins GA, Kim KL, Radoeva PD, Gilbert AC, Barthelemy C, DeYoung L, Yen S, Hower H, Hunt J, Keller MB, Dickstein DP. Facial emotion recognition and mood symptom course in young adults with childhood-onset bipolar disorder. Eur Arch Psychiatry Clin Neurosci 2021; 271:1393-1404. [PMID: 33744993 PMCID: PMC8528564 DOI: 10.1007/s00406-021-01252-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Accepted: 03/03/2021] [Indexed: 10/21/2022]
Abstract
Facial emotion recognition deficits are common in bipolar disorder (BD) and associated with impairment. However, the relationship between facial emotion recognition and mood course is not well understood. This study examined facial emotion recognition and subsequent mood symptoms in young adults with childhood-onset BD versus typically developing controls (TDCs). The sample included 116 young adults (ages 18-30, 58% male, 78% White) with prospectively verified childhood-onset BD (n = 52) and TDCs (n = 64). At baseline, participants completed a facial emotion recognition task (Diagnostic Analysis of Non-Verbal Accuracy-2) and clinical measures. Then, participants with BD completed mood symptom assessments every 6 months (M = 8.7 ± 5.2 months) over two years. Analyses included independent-samples t tests and mixed-effects regression models. Participants with BD made significantly more recognition errors for child expressions than TDCs. There were no significant between-group differences for recognition errors for adult expressions, or errors for specific child or adult emotional expressions. Participants had moderate baseline mood symptoms. Significant time-by-facial emotion recognition interactions revealed more recognition errors for child emotional expressions predicted lower baseline mania and stable/consistent trajectory; fewer recognition errors for child expressions predicted higher baseline mania and decreasing trajectory. In addition, more recognition errors for adult sad expressions predicted stable/consistent depression trajectory and decreasing mania; fewer recognition errors for adult sad expressions predicted decreasing depression trajectory and stable/consistent mania. Effects remained when controlling for baseline demographics and clinical variables. Facial emotion recognition may be an important brain/behavior mechanism, prognostic indicator, and intervention target for childhood-onset BD, which endures into young adulthood and is associated with mood trajectory.
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Affiliation(s)
- Heather A. MacPherson
- Pediatric Mood, Imaging, and NeuroDevelopment (PediMIND) Program, Emma Pendleton Bradley Hospital, East Providence, RI, USA,Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Anastacia Y. Kudinova
- Pediatric Mood, Imaging, and NeuroDevelopment (PediMIND) Program, Emma Pendleton Bradley Hospital, East Providence, RI, USA,Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Gracie A. Jenkins
- Pediatric Mood, Imaging, and NeuroDevelopment (PediMIND) Program, Emma Pendleton Bradley Hospital, East Providence, RI, USA
| | - Kerri L. Kim
- Pediatric Mood, Imaging, and NeuroDevelopment (PediMIND) Program, Emma Pendleton Bradley Hospital, East Providence, RI, USA,Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Petya D. Radoeva
- Pediatric Mood, Imaging, and NeuroDevelopment (PediMIND) Program, Emma Pendleton Bradley Hospital, East Providence, RI, USA,Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Anna C. Gilbert
- Pediatric Mood, Imaging, and NeuroDevelopment (PediMIND) Program, Emma Pendleton Bradley Hospital, East Providence, RI, USA
| | - Christine Barthelemy
- Pediatric Mood, Imaging, and NeuroDevelopment (PediMIND) Program, Emma Pendleton Bradley Hospital, East Providence, RI, USA
| | - Lena DeYoung
- Pediatric Mood, Imaging, and NeuroDevelopment (PediMIND) Program, Emma Pendleton Bradley Hospital, East Providence, RI, USA
| | - Shirley Yen
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Providence, RI, USA,Massachusetts Mental Health Center and the Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Heather Hower
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Providence, RI, USA,Department of Health Services, Policy, and Practice, School of Public Health, Brown University, Providence, RI, USA,Department of Psychiatry, School of Medicine, University of California at San Diego, San Diego, CA, USA
| | - Jeffrey Hunt
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Martin B. Keller
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Daniel P. Dickstein
- Pediatric Mood, Imaging, and NeuroDevelopment (PediMIND) Program, Emma Pendleton Bradley Hospital, East Providence, RI, USA,Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Providence, RI, USA
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3
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Schenkel LS, Towne TL. Errors in identifying emotion in body postures and facial expressions among pediatric patients with bipolar disorder. J Clin Exp Neuropsychol 2020; 42:735-746. [DOI: 10.1080/13803395.2020.1799946] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Affiliation(s)
- Lindsay S. Schenkel
- Department of Psychology, Rochester Institute of Technology, Rochester, NY, USA
| | - Terra L. Towne
- Department of Psychology, Rochester Institute of Technology, Rochester, NY, USA
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4
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Miskowiak KW, Seeberg I, Kjaerstad HL, Burdick KE, Martinez-Aran A, Del Mar Bonnin C, Bowie CR, Carvalho AF, Gallagher P, Hasler G, Lafer B, López-Jaramillo C, Sumiyoshi T, McIntyre RS, Schaffer A, Porter RJ, Purdon S, Torres IJ, Yatham LN, Young AH, Kessing LV, Van Rheenen TE, Vieta E. Affective cognition in bipolar disorder: A systematic review by the ISBD targeting cognition task force. Bipolar Disord 2019; 21:686-719. [PMID: 31491048 DOI: 10.1111/bdi.12834] [Citation(s) in RCA: 56] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
BACKGROUND Impairments in affective cognition are part of the neurocognitive profile and possible treatment targets in bipolar disorder (BD), but the findings are heterogeneous. The International Society of Bipolar Disorder (ISBD) Targeting Cognition Task Force conducted a systematic review to (i) identify the most consistent findings in affective cognition in BD, and (ii) provide suggestions for affective cognitive domains for future study and meta-analyses. METHODS The review included original studies reporting behavioral measures of affective cognition in BD patients vs controls following the procedures of the Preferred Reporting Items for Systematic reviews and Meta-Analysis (PRISMA) statement. Searches were conducted on PubMed/MEDLINE, EMBASE, and PsychInfo from inception until November 2018. RESULTS A total of 106 articles were included (of which nine included data for several affective domains); 41 studies assessed emotional face processing; 23 studies investigated reactivity to emotional words and images; 3 investigated explicit emotion regulation; 17 assessed implicit emotion regulation; 31 assessed reward processing and affective decision making. In general, findings were inconsistent. The most consistent findings were trait-related difficulties in facial emotion recognition and implicit emotion regulation, and impairments in reward processing and affective decision making during mood episodes. Studies using eye-tracking and facial emotion analysis revealed subtle trait-related abnormalities in emotional reactivity. CONCLUSION The ISBD Task Force recommends facial expression recognition, implicit emotion regulation, and reward processing as domains for future research and meta-analyses. An important step to aid comparability between studies in the field would be to reach consensus on an affective cognition test battery for BD.
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Affiliation(s)
- Kamilla W Miskowiak
- Copenhagen Affective Disorder Research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.,Department of Psychology, University of Copenhagen, Copenhagen, Denmark
| | - Ida Seeberg
- Copenhagen Affective Disorder Research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.,Department of Psychology, University of Copenhagen, Copenhagen, Denmark
| | - Hanne L Kjaerstad
- Copenhagen Affective Disorder Research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Katherine E Burdick
- Department of Psychiatry, Brigham and Women's Hospital, Boston, MA, USA.,Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Anabel Martinez-Aran
- Clinical Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Spain
| | - Caterina Del Mar Bonnin
- Clinical Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Spain
| | | | - Andre F Carvalho
- Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada.,Department of Psychiatry, University of Toronto, Toronto, Canada
| | - Peter Gallagher
- Institute of Neuroscience, Newcastle University, Newcastle-upon-Tyne, UK
| | - Gregor Hasler
- Psychiatry Research Unit, University of Fribourg, Fribourg, Switzerland
| | - Beny Lafer
- Bipolar Disorder Research Program, Departamento de Psiquiatria, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
| | - Carlos López-Jaramillo
- Research Group in Psychiatry, Department of Psychiatry, Universidad de Antioquia, Medellín, Colombia
| | - Tomiki Sumiyoshi
- Department of Clinical Epidemiology, Translational Medical Center, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Roger S McIntyre
- Mood Disorders Psychopharmacology Unit Brain and Cognition Discovery Foundation, University of Toronto, Toronto, Canada
| | - Ayal Schaffer
- Department of Psychiatry, University of Toronto, Toronto, Canada
| | - Richard J Porter
- Department of Psychological Medicine, University of Otago, Christchurch, New Zealand
| | - Scot Purdon
- Department of Psychiatry, University of Alberta, Edmonton, Canada
| | - Ivan J Torres
- Department of Psychiatry, University of British Columbia, Vancouver, Canada
| | - Lakshmi N Yatham
- Department of Psychiatry, University of British Columbia, Vancouver, Canada
| | - Allan H Young
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Lars V Kessing
- Copenhagen Affective Disorder Research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Tamsyn E Van Rheenen
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne, Carlton, Australia.,Centre for Mental Health, Faculty of Health, Arts and Design, Swinburne University, Australia
| | - Eduard Vieta
- Clinical Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Spain
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Kryza-Lacombe M, Brotman MA, Reynolds RC, Towbin K, Pine DS, Leibenluft E, Wiggins JL. Neural mechanisms of face emotion processing in youths and adults with bipolar disorder. Bipolar Disord 2019; 21:309-320. [PMID: 30851221 PMCID: PMC6597279 DOI: 10.1111/bdi.12768] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVES Little is known about potential differences in the pathophysiology of bipolar disorder (BD) across development. The present study aimed to characterize age-related neural mechanisms of BD. METHODS Youths and adults with and without BD (N = 108, age range = 9.8-55.9 years) completed an emotional face labeling task during fMRI acquisition. We leveraged three different fMRI analytic tools to identify age-related neural mechanisms of BD, investigating (a) change in neural responses over the course of the task, (b) neural activation averaged across the entire task, and (c) amygdala functional connectivity. RESULTS We found converging Age Group × Diagnosis patterns across all three analytic methods. Compared to healthy youths vs adults, youths vs adults with BD show an altered pattern in response to repeated presentation of emotional faces in medial prefrontal, amygdala, and temporoparietal regions, as well as amygdala-temporoparietal connectivity. Specifically, medial prefrontal and lingual activation decreases over the course of repeated emotional face presentations in healthy youths vs adults but increases in youths with BD compared to adults with BD. Moreover, youths vs adults with BD show less medial prefrontal activation and amygdala-temporoparietal junction connectivity averaged over the task, but this difference is not found for healthy youths vs adults. CONCLUSION Although longitudinal confirmation and replication will be necessary, these findings suggest that neural development may be aberrant in BD and that some neural mechanisms mediating BD may differ in adults vs children with the illness.
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Affiliation(s)
- Maria Kryza-Lacombe
- San Diego State University/University of California, San
Diego Joint Doctoral Program in Clinical Psychology
| | - Melissa A. Brotman
- Emotion Development Branch, National Institute of Mental
Health, National Institutes of Health
| | - Richard C. Reynolds
- Scientific and Statistical Computing Core, National
Institute of Mental Health, National Institutes of Health
| | - Kenneth Towbin
- Emotion Development Branch, National Institute of Mental
Health, National Institutes of Health
| | - Daniel S. Pine
- Emotion Development Branch, National Institute of Mental
Health, National Institutes of Health
| | - Ellen Leibenluft
- Emotion Development Branch, National Institute of Mental
Health, National Institutes of Health
| | - Jillian Lee Wiggins
- San Diego State University/University of California, San
Diego Joint Doctoral Program in Clinical Psychology,Department of Psychology, San Diego State University
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6
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MacPherson HA, Ruggieri AL, Christensen RE, Schettini E, Kim KL, Thomas SA, Dickstein DP. Developmental evaluation of family functioning deficits in youths and young adults with childhood-onset bipolar disorder. J Affect Disord 2018; 235:574-582. [PMID: 29702451 PMCID: PMC5976258 DOI: 10.1016/j.jad.2018.04.078] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2018] [Revised: 04/09/2018] [Accepted: 04/14/2018] [Indexed: 11/30/2022]
Abstract
BACKGROUND Childhood-onset bipolar disorder (BD) is a serious condition that affects the patient and family. While research has documented familial dysfunction in individuals with BD, no studies have compared developmental differences in family functioning in youths with BD vs. adults with prospectively verified childhood-onset BD. METHODS The Family Assessment Device (FAD) was used to examine family functioning in participants with childhood-onset BD (n = 116) vs. healthy controls (HCs) (n = 108), ages 7-30 years, using multivariate analysis of covariance and multiple linear regression. RESULTS Participants with BD had significantly worse family functioning in all domains (problem solving, communication, roles, affective responsiveness, affective involvement, behavior control, general functioning) compared to HCs, regardless of age, IQ, and socioeconomic status. Post-hoc analyses suggested no influence for mood state, global functioning, comorbidity, and most medications, despite youths with BD presenting with greater severity in these areas than adults. Post-hoc tests eliminating participants taking lithium (n = 17) showed a significant diagnosis-by-age interaction: youths with BD had worse family problem solving and communication relative to HCs. LIMITATIONS Limitations include the cross-sectional design, clinical differences in youths vs. adults with BD, ambiguity in FAD instructions, participant-only report of family functioning, and lack of data on psychosocial treatments. CONCLUSIONS Familial dysfunction is common in childhood-onset BD and endures into adulthood. Early identification and treatment of both individual and family impairments is crucial. Further investigation into multi-level, family-based mechanisms underlying childhood-onset BD may clarify the role family factors play in the disorder, and offer avenues for the development of novel, family-focused therapeutic strategies.
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Affiliation(s)
- Heather A. MacPherson
- Pediatric Mood, Imaging, and NeuroDevelopment (PediMIND) Program, Emma Pendleton Bradley Hospital, East Providence, RI, USA,Division of Child Psychiatry, Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Providence, RI, USA,Corresponding Author: Heather A. MacPherson, 1011 Veterans Memorial Parkway, East Providence, RI 02915, Phone: (401) 432-1162, Fax: (401) 432-1607,
| | - Amanda L. Ruggieri
- Pediatric Mood, Imaging, and NeuroDevelopment (PediMIND) Program, Emma Pendleton Bradley Hospital, East Providence, RI, USA
| | - Rachel E. Christensen
- Pediatric Mood, Imaging, and NeuroDevelopment (PediMIND) Program, Emma Pendleton Bradley Hospital, East Providence, RI, USA
| | - Elana Schettini
- Pediatric Mood, Imaging, and NeuroDevelopment (PediMIND) Program, Emma Pendleton Bradley Hospital, East Providence, RI, USA
| | - Kerri L. Kim
- Pediatric Mood, Imaging, and NeuroDevelopment (PediMIND) Program, Emma Pendleton Bradley Hospital, East Providence, RI, USA,Division of Child Psychiatry, Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Sarah A. Thomas
- Pediatric Mood, Imaging, and NeuroDevelopment (PediMIND) Program, Emma Pendleton Bradley Hospital, East Providence, RI, USA,Division of Child Psychiatry, Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Daniel P. Dickstein
- Pediatric Mood, Imaging, and NeuroDevelopment (PediMIND) Program, Emma Pendleton Bradley Hospital, East Providence, RI, USA,Division of Child Psychiatry, Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Providence, RI, USA
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7
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Vlad M, Raucher-Chéné D, Henry A, Kaladjian A. Functional outcome and social cognition in bipolar disorder: Is there a connection? Eur Psychiatry 2018; 52:116-125. [PMID: 29787961 DOI: 10.1016/j.eurpsy.2018.05.002] [Citation(s) in RCA: 57] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2017] [Revised: 04/30/2018] [Accepted: 05/02/2018] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND Interest in social cognition in bipolar disorder (BD) has increased considerably over the past decade, with studies highlighting major impairments, especially in mental state reasoning, even during euthymia. A causal relationship between social cognition deficits and social functioning has already been established in individuals with schizophrenia, but there is still little information about links between social cognition and social functioning in BD. Our aim was therefore to review the relationship between functional outcome and social cognition in patients with BD. METHODS We conducted a systematic review of the literature. Relevant articles were identified through literature searches in the MEDLINE/PubMed, EBSCOHost and Google Scholar databases for the years 2000-2017, using the keywords bipolar, social cognition, theory of mind, mentalizing, emotion recognition, emotion processing, and functioning. A total of 20 studies met our inclusion/exclusion criteria. RESULTS We found that functioning was significantly correlated with three domains of social cognition (ToM, emotion processing, and attribution bias). Twelve of 13 studies reported a correlation with emotion processing, but a correlation with ToM was only found in three of the 11 studies that assessed it. Six studies found an effect of depressive symptoms on emotion processing and no significant association was found with manic symptomatology. CONCLUSIONS To the best of our knowledge, the present review is the first to specifically explore the relationship between social cognition and social functioning in patients with BD. This exploration is of interest, as it enhances current understanding of this disorder and, by so doing, should improve patient outcomes.
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Affiliation(s)
- Maria Vlad
- Psychiatry Department, University Hospital, Reims, France
| | - Delphine Raucher-Chéné
- Psychiatry Department, University Hospital, Reims, France; Cognition, Health & Society (C2S - EA 6291) Laboratory, University of Reims Champagne-Ardenne, Reims, France.
| | - Audrey Henry
- Psychiatry Department, University Hospital, Reims, France; Cognition, Health & Society (C2S - EA 6291) Laboratory, University of Reims Champagne-Ardenne, Reims, France
| | - Arthur Kaladjian
- Psychiatry Department, University Hospital, Reims, France; Cognition, Health & Society (C2S - EA 6291) Laboratory, University of Reims Champagne-Ardenne, Reims, France; Faculty of Medicine, University of Reims Champagne-Ardenne, Reims, France
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8
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Theory of mind in remitted bipolar disorder: Younger patients struggle in tasks of higher ecological validity. J Affect Disord 2018; 231:32-40. [PMID: 29428351 DOI: 10.1016/j.jad.2018.01.026] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2017] [Revised: 12/18/2017] [Accepted: 01/29/2018] [Indexed: 12/14/2022]
Abstract
BACKGROUND To date, research concerning Theory of Mind (ToM) in remitted bipolar disorder (rBD) has yielded inconclusive results. This may be a result of methodological shortcomings and the failure to consider relevant third variables. Furthermore, studies using ecologically valid stimuli are rare. This study examines ToM in rBD patients, using ecologically valid stimuli. Additionally, the effects of sad mood induction (MI) as well as of age and gender are considered. METHODS The sample comprises N = 44 rBD patients (rBDPs) and N = 40 healthy controls (HCs). ToM decoding is assessed using the Cambridge Mindreading Face-Voice-Battery (CAM) and ToM reasoning using the Movie for the Assessment of Social Cognition (MASC). Both tasks were divided into two parts to conduct one part with and one without MI. RESULTS While across the whole sample there was no evidence that rBDPs and HCs differed in ToM decoding or reasoning, in the younger subsample (age < 45) rBDPs performed worse than HCs in ToM decoding. While MI negatively influenced reasoning in both groups, gender had no effect. LIMITATIONS Most patients in this study had a high level of social functioning, limiting the generalizability of the results. CONCLUSION As important social steps have to be undertaken before middle-age, the decoding deficits in younger rBDPs might be of particular importance not only for social functioning but also for the course of illness. Furthermore, this age-related deficit may explain the inconclusive findings that have been reported so far.
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9
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Cabeen RP, Laidlaw DH, Ruggieri A, Dickstein DP. Preliminary mapping of the structural effects of age in pediatric bipolar disorder with multimodal MR imaging. Psychiatry Res 2018; 273:54-62. [PMID: 29361347 PMCID: PMC5815932 DOI: 10.1016/j.pscychresns.2017.12.006] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2017] [Revised: 12/31/2017] [Accepted: 12/31/2017] [Indexed: 10/18/2022]
Abstract
This study investigates multimodal structural MR imaging biomarkers of development trajectories in pediatric bipolar disorder. T1-weighted and diffusion-weighted MR imaging was conducted to investigate cross-sectional group differences with age between typically developing controls (N = 26) and youths diagnosed with bipolar disorder (N = 26). Region-based analysis was used to examine cortical thickness of gray matter and diffusion tensor parameters in superficial white matter, and tractography-based analysis was used to examine deep white matter fiber bundles. Patients and controls showed significantly different maturation trajectories across brain areas; however, the magnitude of differences varied by region. The rate of cortical thinning with age was greater in patients than controls in the left frontal pole. While controls showed increasing fractional anisotropy (FA) and axial diffusivity (AD) with age, patients showed an opposite trend of decreasing FA and AD with age in fronto-temporal-striatal regions located in both superficial and deep white matter. The findings support fronto-temporal-striatal alterations in the developmental trajectories of youths diagnosed with bipolar disorder, and further, show the value of multimodal computational techniques in the assessment of neuropsychiatric disorders. These preliminary results warrant further investigation into longitudinal changes and the effects of treatment in the brain areas identified in this study.
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Affiliation(s)
- Ryan P Cabeen
- Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA.
| | - David H Laidlaw
- Department of Computer Science, Brown University, Providence, RI, USA
| | - Amanda Ruggieri
- Pediatric Mood, Imaging & NeuroDevelopment Program, Bradley Hospital, Alpert Medical School of Brown University, Providence, RI, USA
| | - Daniel P Dickstein
- Pediatric Mood, Imaging & NeuroDevelopment Program, Bradley Hospital, Alpert Medical School of Brown University, Providence, RI, USA
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10
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Frías Á, Dickstein DP, Merranko J, Gill MK, Goldstein TR, Goldstein BI, Hower H, Yen S, Hafeman DM, Liao F, Diler R, Axelson D, Strober M, Hunt JI, Ryan ND, Keller MB, Birmaher B. Longitudinal cognitive trajectories and associated clinical variables in youth with bipolar disorder. Bipolar Disord 2017; 19:273-284. [PMID: 28653799 PMCID: PMC5517342 DOI: 10.1111/bdi.12510] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2016] [Revised: 03/31/2017] [Accepted: 05/09/2017] [Indexed: 01/04/2023]
Abstract
OBJECTIVE There is substantial interest in delineating the course of cognitive functioning in bipolar (BP) youth. However, there are no longitudinal studies aimed at defining subgroups of BP youth based on their distinctive cognitive trajectories and their associated clinical variables. METHOD Cognitive functioning was measured in 135 participants from the Course and Outcome of BP Youth (COBY) study using several subtests of the Cambridge Neuropsychological Test Automated Battery (CANTAB). Youth were prospectively evaluated three times on average every 13.75 months over 2.5 years. Clinical and functional outcomes were assessed using the Longitudinal Interval Follow-Up Evaluation (LIFE). RESULTS Latent class growth analysis identified three longitudinal patterns of cognitive functioning based on a general cognitive index: class 1, "persistently high" (N=21; 15.6%); class 2, "persistently moderate" (N=82; 60.74%); and class 3, "persistently low" (N=32; 23.7%). All classes showed normal cognitive functioning when compared with the CANTAB normative data. After adjustment for confounders, youth from class 3 had a significantly greater percentage of time with overall, manic, and depressive syndromal symptoms than youth in the other two classes. Also, after adjustment for confounders, youth from class 3 had significantly poorer global, academic, and social functioning than youth from class 1. CONCLUSIONS BP youth showed normal overall cognitive functioning that remained stable during the follow-up within each class. However, 24% of BP youth showed poorer cognitive functioning than the other BP youth. This subgroup had poorer mood course and functioning, and may benefit from cognitive remediation and early management with evidence-based pharmacological treatments.
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Affiliation(s)
- Álvaro Frías
- Adult Outpatient Mental Health Center, Consorci Sanitari del Maresme, Mataró, 08304, Spain,Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, 3811 O’Hara St., Pittsburgh, PA, 15213, USA
| | - Daniel P. Dickstein
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Box G-BH, Providence, RI, 02912, USA
| | - John Merranko
- Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, 3811 O’Hara St., Pittsburgh, PA, 15213, USA
| | - Mary Kay Gill
- Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, 3811 O’Hara St., Pittsburgh, PA, 15213, USA
| | - Tina R. Goldstein
- Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, 3811 O’Hara St., Pittsburgh, PA, 15213, USA
| | - Benjamin I. Goldstein
- Department of Psychiatry, Sunnybrook Health Sciences Centre, University of Toronto Faculty of Medicine, 2075 Bayview Ave., FG-53, Toronto, ON, M4N-3M5, Canada
| | - Heather Hower
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Box G-BH, Providence, RI, 02912, USA
| | - Shirley Yen
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Box G-BH, Providence, RI, 02912, USA
| | - Danella M. Hafeman
- Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, 3811 O’Hara St., Pittsburgh, PA, 15213, USA
| | - Fangzi Liao
- Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, 3811 O’Hara St., Pittsburgh, PA, 15213, USA
| | - Rasim Diler
- Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, 3811 O’Hara St., Pittsburgh, PA, 15213, USA
| | - David Axelson
- Department of Psychiatry, Nationwide Children’s Hospital and The Ohio State College of Medicine, 1670 Upham Dr., Columbus, OH, 43210, USA
| | - Michael Strober
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California at Los Angeles, CA, 10833, USA
| | - Jeffrey I. Hunt
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Box G-BH, Providence, RI, 02912, USA
| | - Neal D. Ryan
- Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, 3811 O’Hara St., Pittsburgh, PA, 15213, USA
| | - Martin B. Keller
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Box G-BH, Providence, RI, 02912, USA
| | - Boris Birmaher
- Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, 3811 O’Hara St., Pittsburgh, PA, 15213, USA
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11
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Sharma AN, Barron E, Le Couteur J, Close A, Rushton S, Grunze H, Kelly T, Nicol Ferrier I, Le Couteur AS. Facial emotion labeling in unaffected offspring of adults with bipolar I disorder. J Affect Disord 2017; 208:198-204. [PMID: 27792963 DOI: 10.1016/j.jad.2016.10.006] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2016] [Revised: 09/28/2016] [Accepted: 10/16/2016] [Indexed: 02/08/2023]
Abstract
BACKGROUND Young people 'at risk' for developing Bipolar Disorder have been shown to have deficits in facial emotion labeling across emotions with some studies reporting deficits for one or more particular emotions. However, these have included a heterogeneous group of young people (siblings of adolescents and offspring of adults with bipolar disorder), who have themselves diagnosed psychopathology (mood disorders and neurodevelopmental disorders including ADHD). METHODS 24 offspring of adults with bipolar I disorder and 34 offspring of healthy controls were administered the Diagnostic Analysis of Non Verbal Accuracy 2 (DANVA 2) to investigate the ability of participants to correctly label 4 emotions: happy, sad, fear and anger using both child and adult faces as stimuli at low and high intensity. RESULTS Mixed effects modelling revealed that the offspring of adults with bipolar I disorder made more errors in both the overall recognition of facial emotions and the specific recognition of fear compared with the offspring of healthy controls. Further more errors were made by offspring that were male, younger in age and also in recognition of emotions using 'child' stimuli. LIMITATIONS The sample size, lack of blinding of the study team and the absence of any stimuli that assess subjects' response to a neutral emotional stimulus are limitations of the study. CONCLUSIONS Offspring (with no history of current or past psychopathology or psychotropic medication) of adults with bipolar I disorder displayed facial emotion labeling deficits (particularly fear) suggesting facial emotion labeling may be an endophenotype for bipolar disorder.
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Affiliation(s)
- Aditya Narain Sharma
- Newcastle University, UK; Northumberland, Tyne and Wear NHS Foundation Trust, UK.
| | | | | | | | | | - Heinz Grunze
- Newcastle University, UK; Northumberland, Tyne and Wear NHS Foundation Trust, UK
| | - Thomas Kelly
- Newcastle University, UK; Newcastle upon Tyne Hospitals NHS Foundation, UK
| | - Ian Nicol Ferrier
- Newcastle University, UK; Northumberland, Tyne and Wear NHS Foundation Trust, UK
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12
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Wieckowski AT, White SW. Application of technology to social communication impairment in childhood and adolescence. Neurosci Biobehav Rev 2017; 74:98-114. [PMID: 28093239 DOI: 10.1016/j.neubiorev.2016.12.030] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2016] [Revised: 12/13/2016] [Accepted: 12/26/2016] [Indexed: 10/20/2022]
Abstract
Social communication impairment has been implicated in various mental health disorders. The primary aim of this review paper is to summarize the extant research on the development and application of technologies to address social communication deficits, conceptualized according to the four constructs outlined by the NIMH's Research Domain Criteria (RDoC), transdiagnostically in children and adolescents. An exhaustive and systematic search yielded 69 peer-reviewed articles meeting all inclusion criteria (i.e., used technology, applied the technology to target impairment in at least one of four constructs of social communication, included a child or adolescent samples). We found limited use of technology for exploration of impairment in reception of non-facial communication, compared to the other social communication constructs. In addition, there has been an overwhelming focus on social communication impairment in children and adolescents with Autism Spectrum Disorder (ASD), with relatively few studies evaluating technology application in other clinical populations. Implications for future directions for technological interventions to treat social communication impairments transdiagnostically are discussed.
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Affiliation(s)
| | - Susan W White
- Department of Psychology, Virginia Polytechnic Institute and State University, United States
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13
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Reversal-learning deficits in childhood-onset bipolar disorder across the transition from childhood to young adulthood. J Affect Disord 2016; 203:46-54. [PMID: 27280962 PMCID: PMC4975956 DOI: 10.1016/j.jad.2016.05.046] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2015] [Revised: 04/25/2016] [Accepted: 05/22/2016] [Indexed: 12/21/2022]
Abstract
BACKGROUND Bipolar disorder (BD) is a severe mental illness that can have high costs for youths (<18 years old) and adults. Relative to healthy controls (HC), individuals with BD often show impaired attention, working memory, executive function, and cognitive flexibility (the ability to adapt to changing reward/punishment contingencies). In our study of youths and young adults with BD, we investigated 1) how cognitive flexibility varies developmentally in BD, and 2) whether it is independent of other executive function deficits associated with BD. METHODS We measured errors on a reversal-learning task, as well as spatial working memory and other executive function, among participants with BD (N=75) and HC (N=130), 7-27 years old. Regression analyses focused on the effects of diagnosis on reversal-learning errors, controlling for age, gender, IQ, spatial span, and executive function. Similar analyses examined non-reversal errors to rule out general task impairment. RESULTS Participants with BD, regardless of age, gender, or cognitive ability, showed more errors than HC on the response reversal stages of the cognitive flexibility task. However, participants with BD did not show more errors on non-reversal stages, even when controlling for other variables. LIMITATIONS Study limitations include the cross-sectional, rather than longitudinal, design; inability to measure non-linear age effects; and inclusion of medicated participants and those with psychiatric comorbidity. CONCLUSIONS Individuals with BD show a specific impairment in reversing a previously rewarded response, which persists across the transition from childhood to young adulthood. Tailored interventions targeting this deficit may be effective throughout this developmentally turbulent time.
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14
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Iakimova G, Moriano C, Farruggio L, Jover F. Socio-demographic and Clinical Correlates of Facial Expression Recognition Disorder in the Euthymic Phase of Bipolar Patients. CANADIAN JOURNAL OF PSYCHIATRY. REVUE CANADIENNE DE PSYCHIATRIE 2016; 61:633-42. [PMID: 27310226 PMCID: PMC5348087 DOI: 10.1177/0706743716639927] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
OBJECTIVE Bipolar patients show social cognitive disorders. The objective of this study is to review facial expression recognition (FER) disorders in bipolar patients (BP) and explore clinical heterogeneity factors that could affect them in the euthymic phase: socio-demographic level, clinical and changing characteristics of the disorder, history of suicide attempt, and abuse. METHOD Thirty-four euthymic bipolar patients and 29 control subjects completed a computer task of explicit facial expression recognition and were clinically evaluated. RESULTS Compared with control subjects, BP patients show: a decrease in fear, anger, and disgust recognition; an extended reaction time for disgust, surprise and neutrality recognition; confusion between fear and surprise, anger and disgust, disgust and sadness, sadness and neutrality. In BP patients, age negatively affects anger and neutrality recognition, as opposed to education level which positively affects recognizing these emotions. The history of patient abuse negatively affects surprise and disgust recognition, and the number of suicide attempts negatively affects disgust and anger recognition. CONCLUSIONS Cognitive heterogeneity in euthymic phase BP patients is affected by several factors inherent to bipolar disorder complexity that should be considered in social cognition study.
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Affiliation(s)
- Galina Iakimova
- Université de Nice Sophia Antipolis, Laboratoire d'Anthropologie et de Psychologie cognitives et sociales (LAPCOS, EA 7278), Nice, France
| | | | - Lisa Farruggio
- Université de Nice Sophia Antipolis, Laboratoire d'Anthropologie et de Psychologie cognitives et sociales (LAPCOS, EA 7278), Nice, France
| | - Frédéric Jover
- Clinique de psychiatrie et de psychologie médicale, CHU de Nice, avenue de la Voie Romaine, Nice cedex, France
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15
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Zhao W, Zhang Q, Yu P, Zhang Z, Chen X, Gu H, Zhai J, Chen M, Du B, Deng X, Ji F, Wang C, Xiang YT, Li D, Wu H, Dong Q, Luo Y, Li J, Chen C. The ANK3 gene and facial affect processing: An ERP study. Am J Med Genet B Neuropsychiatr Genet 2016; 171:861-6. [PMID: 27177275 DOI: 10.1002/ajmg.b.32456] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2016] [Accepted: 04/29/2016] [Indexed: 01/25/2023]
Abstract
ANK3 is one of the most promising candidate genes for bipolar disorder (BD). A polymorphism (rs10994336) within the ANK3 gene has been associated with BD in at least three genome-wide association studies of BD [McGuffin et al., 2003; Kieseppä, 2004; Edvardsen et al., 2008]. Because facial affect processing is disrupted in patients with BD, the current study aimed to explore whether the BD risk alleles are associated with the N170, an early event-related potential (ERP) component related to facial affect processing. We collected data from two independent samples of healthy individuals (Ns = 83 and 82, respectively) to test the association between rs10994336 and an early event-related potential (ERP) component (N170) that is sensitive to facial affect processing. Repeated-measures analysis of covariance in both samples consistently revealed significant main effects of rs10994336 genotype (Sample I: F (1, 72) = 7.24, P = 0.009; Sample II: F (1, 69) = 11.81, P = 0.001), but no significant interaction of genotype × electrodes (Ps > 0.05) or genotype × emotional conditions (Ps > 0.05). These results suggested that rs10994336 was linked to early ERP component reflecting facial structural encoding during facial affect processing. These results shed new light on the brain mechanism of this risk SNP and associated disorders such as BD. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- Wan Zhao
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, P.R. China.,Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, P.R. China
| | - Qiumei Zhang
- School of Mental Health, Jining Medical University, Jining, Shandong Province, P.R. China
| | - Ping Yu
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, P.R. China.,Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, P.R. China
| | - Zhifang Zhang
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, P.R. China.,Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, P.R. China
| | - Xiongying Chen
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, P.R. China.,Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, P.R. China
| | - Huang Gu
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, P.R. China.,Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, P.R. China
| | - Jinguo Zhai
- School of Mental Health, Jining Medical University, Jining, Shandong Province, P.R. China
| | - Min Chen
- School of Mental Health, Jining Medical University, Jining, Shandong Province, P.R. China
| | - Boqi Du
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, P.R. China.,Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, P.R. China
| | - Xiaoxiang Deng
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, P.R. China.,Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, P.R. China
| | - Feng Ji
- School of Mental Health, Jining Medical University, Jining, Shandong Province, P.R. China
| | | | - Yu-Tao Xiang
- Faculty of Health Sciences, University of Macau, Avenida da Universidade, Taipa, Macau, P.R. China
| | - Dawei Li
- Center for Cognitive Neuroscience, Duke University, Durham, North Carolina
| | - Hongjie Wu
- Shengli Hospital of Shengli Petroleum Administration Bureau, Dongying, Shandong Province, P.R. China
| | - Qi Dong
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, P.R. China.,Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, P.R. China
| | - Yuejia Luo
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, P.R. China.,Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, P.R. China
| | - Jun Li
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, P.R. China.,Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, P.R. China
| | - Chuansheng Chen
- Department of Psychology and Social Behavior, University of California, Irvine, California
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16
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Hanford LC, Sassi RB, Hall GB. Accuracy of emotion labeling in children of parents diagnosed with bipolar disorder. J Affect Disord 2016; 194:226-33. [PMID: 26874055 DOI: 10.1016/j.jad.2016.01.031] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2015] [Revised: 12/20/2015] [Accepted: 01/12/2016] [Indexed: 12/01/2022]
Abstract
BACKGROUND Emotion labeling deficits have been posited as an endophenotype for bipolar disorder (BD) as they have been observed in both patients and their first-degree relatives. It remains unclear whether these deficits exist secondary to the development of psychiatric symptoms or whether they can be attributed to risk for psychopathology. To explore this, we investigated emotion processing in symptomatic and asymptomatic high-risk bipolar offspring (HRO) and healthy children of healthy parents (HCO). METHODS Symptomatic (n:18, age: 13.8 ± 2.6 years, 44% female) and asymptomatic (n:12, age: 12.8 ± 3.0 years, 42% female) HRO and age- and sex-matched HCO (n:20, age: 13.3 ± 2.5 years, 45% female) performed an emotion-labeling task. Total number of errors, emotion category and intensity of emotion error scores were compared. Correlations between total error scores and symptom severity were also investigated. RESULTS Compared to HCO, both HRO groups made more errors on the adult face task (pcor=0.014). The HRO group were 2.3 times [90%CI:0.9-6.3] more likely and 4.3 times [90%CI:1.3-14.3] more likely to make errors on sad and angry faces, respectively. With the exception of sad face type errors, we observed no significant differences in error patterns between symptomatic and asymptomatic HRO, and no correlations between symptom severity and total number of errors. LIMITATIONS This study was cross-sectional in design, limiting our ability to infer trajectories or heritability of these deficits. CONCLUSIONS This study provides further support for emotion labeling deficits as a candidate endophenotype for BD. Our study also suggests these deficits are not attributable to the presence of psychiatric symptoms.
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Affiliation(s)
| | - Roberto B Sassi
- Psychiatry & Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada; Mood Disorders Outpatient Program, St. Joseph's Healthcare Hamilton, Hamilton, Ontario, Canada
| | - Geoffrey B Hall
- Department of Psychology, Neuroscience & Behaviour, McMaster University, Hamilton, Ontario, Canada
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17
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Tsitsipa E, Fountoulakis KN. The neurocognitive functioning in bipolar disorder: a systematic review of data. Ann Gen Psychiatry 2015; 14:42. [PMID: 26628905 PMCID: PMC4666163 DOI: 10.1186/s12991-015-0081-z] [Citation(s) in RCA: 59] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2015] [Accepted: 11/18/2015] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND During the last decades, there have been many different opinions concerning the neurocognitive function in Bipolar disorder (BD). The aim of the current study was to perform a systematic review of the literature and to synthesize the data in a comprehensive picture of the neurocognitive dysfunction in BD. METHODS Papers were located with searches in PubMed/MEDLINE, through June 1st 2015. The review followed a modified version of the recommendations of the Preferred Items for Reporting of Systematic Reviews and Meta-Analyses statement. RESULTS The initial search returned 110,403 papers. After the deletion of duplicates, 11,771 papers remained for further evaluation. Eventually, 250 were included in the analysis. CONCLUSION The current review supports the presence of a neurocognitive deficit in BD, in almost all neurocognitive domains. This deficit is qualitative similar to that observed in schizophrenia but it is less severe. There are no differences between BD subtypes. Its origin is unclear. It seems it is an enduring component and represents a core primary characteristic of the illness, rather than being secondary to the mood state or medication. This core deficit is confounded (either increased or attenuated) by the disease phase, specific personal characteristics of the patients (age, gender, education, etc.), current symptomatology and its treatment (especially psychotic features) and long-term course and long-term exposure to medication, psychiatric and somatic comorbidity and alcohol and/or substance abuse.
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Affiliation(s)
| | - Konstantinos N Fountoulakis
- Division of Neurosciences, 3rd Department of Psychiatry, School of Medicine, Aristotle University of Thessaloniki, 6, Odysseos street (1st Parodos, Ampelonon str.) 55536 Pournari Pylaia, Thessaloniki, Greece
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