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Maassen EF, Maathuis L, Regeer BJ, Kupka RW, Regeer EJ. Prodromal symptoms of a first manic episode: a qualitative study to the perspectives of patients with bipolar disorder and their caregivers'. Int J Bipolar Disord 2024; 12:38. [PMID: 39542978 PMCID: PMC11564498 DOI: 10.1186/s40345-024-00360-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2024] [Accepted: 11/01/2024] [Indexed: 11/17/2024] Open
Abstract
BACKGROUND Diagnosing bipolar disorder (BD) is challenging, and adequate treatment is of major importance to minimalize the consequences of the illness. Early recognition is one way to address this. Although in clinical research the prodromal phase of BD is gaining interest, the perspective of patients with BD and their caregivers on prodromal symptoms is still lacking. The aim of this study is to gain insights in prodromal symptoms of patients with BD and their caregivers before the onset of a first manic episode. METHODS A qualitative research method was used to investigate prodromal symptoms one year prior to a first manic episode. In-depth interviews were conducted with patients with BD type I and their caregivers. Only patients with a first manic episode in the previous five years were included. RESULTS The prodromal symptoms from patients' and caregivers' perspectives could be clustered into seven themes, with underlying subthemes: behavior (increased activity, destructive behavior, disinhibited behavior, inadequate behavior, changes in appearance), physical changes (changes in sleep, physical signals, differences in facial expression), communication (reciprocity, process, changes in use of social media), thought (process and content), cognition (changes in attention and concentration, forgetfulness), emotions (positive emotions, more intense emotions, mood swings), and personality (more pronounced manifestation of existing personality traits). CONCLUSION Patients with bipolar I disorder and their caregivers described subsyndromal manic features one year prior to a first manic episode. In addition, they recognized mood lability, physical changes and more pronounced manifestation of existing personality traits. The results of this study confirm the presence of a prodromal phase. In clinical practice, monitoring of prodromal symptoms of BD can be useful in patients with depression, especially those with a familial risk of BD.
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Affiliation(s)
- Eva F Maassen
- Department Bipolar Disorders, Altrecht Institute for Mental Health Care, Lange Nieuwstraat 119, Utrecht, 3512 PG, The Netherlands.
| | - Lotte Maathuis
- Het Nederlandse Rode Kruis Verenigingskantoor, Anna van Saksenlaan 50, Den Haag, 2593 HT, The Netherlands
| | - Barbara J Regeer
- Athena Institute, Faculty of Earth and Life Sciences, Amsterdam UMC, VU University Amsterdam, de Boelelaan 1085, Amsterdam, 1081 HV, The Netherlands
| | - Ralph W Kupka
- Department Bipolar Disorders, Altrecht Institute for Mental Health Care, Lange Nieuwstraat 119, Utrecht, 3512 PG, The Netherlands
- Department of Psychiatry, Amsterdam Public Mental Health Research Institute, Amsterdam UMC, Vrije Universiteit, Oldenaller 1, Amsterdam, Amsterdam, 1081 HJ, The Netherlands
| | - Eline J Regeer
- Department Bipolar Disorders, Altrecht Institute for Mental Health Care, Lange Nieuwstraat 119, Utrecht, 3512 PG, The Netherlands
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Van Meter AR, Sibley MH, Vandana P, Birmaher B, Fristad MA, Horwitz S, Youngstrom EA, Findling RL, Arnold LE. The stability and persistence of symptoms in childhood-onset ADHD. Eur Child Adolesc Psychiatry 2024; 33:1163-1170. [PMID: 37270740 DOI: 10.1007/s00787-023-02235-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Accepted: 05/16/2023] [Indexed: 06/05/2023]
Abstract
The course of childhood-onset attention deficit hyperactivity disorder (ADHD) varies across individuals; some will experience persistent symptoms while others' symptoms fluctuate or remit. We describe the longitudinal course of ADHD symptoms and associated clinical characteristics in adolescents with childhood-onset ADHD. Participants (aged 6-12 at baseline) from the Longitudinal Assessment of Manic Symptoms (LAMS) study who met DSM criteria for ADHD prior to age 12 were evaluated annually with the Kiddie Schedule for Affective Disorders and Schizophrenia for eight years. At each timepoint, participants were categorized as meeting ADHD criteria, subthreshold criteria, or not having ADHD. Stability of course was defined by whether participants experienced consistent ADHD symptoms, fluctuating symptoms, or remission. The persistence of the symptoms was defined by symptom status at the final two follow-ups (stable ADHD, stable remission, stable partial remission, unstable). Of 685 baseline participants, 431 had childhood-onset ADHD and at least two follow-ups. Half had a consistent course of ADHD, nearly 40% had a remitting course, and the remaining participants had a fluctuating course. More than half of participants met criteria for ADHD at the end of their participation; about 30% demonstrated stable full remission, 15% had unstable symptoms, and one had stable partial remission. Participants with a persistent course and stable ADHD outcome reported the highest number of symptoms and were most impaired. This work builds on earlier studies that describe fluctuating symptoms in young people with childhood-onset ADHD. Results emphasize the importance of ongoing monitoring and detailed assessment of factors likely to influence course and outcome to help young people with childhood-onset ADHD.
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Affiliation(s)
- Anna R Van Meter
- New York University Grossman School of Medicine, New York, NY, 10016, USA.
| | - Margaret H Sibley
- University of Washington School of Medicine and Seattle Children's Research Institute, Seattle, WA, USA
| | | | - Boris Birmaher
- The University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Mary A Fristad
- Nationwide Children's Hospital, The Ohio State University, Columbus, OH, USA
- The Ohio State University College of Medicine, Columbus, OH, USA
| | - Sarah Horwitz
- New York University Grossman School of Medicine, New York, NY, 10016, USA
| | - Eric A Youngstrom
- University of North Carolina at Chapel Hill and Helping Give Away Psychological Science, 501c3, Chapel Hill, NC, USA
| | | | - L Eugene Arnold
- The Ohio State University College of Medicine, Columbus, OH, USA
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Young AS, Findling RL, Riehm KE, Seegan P, Crum RM, Mojtabai R, Chiappini EA, Youngstrom EA, Fristad MA, Arnold LE, Birmaher B, Horwitz SM. Adequacy of Children's Psychopharmacology Services: Variations by Race and Clinical Characteristics. Psychiatr Serv 2023; 74:1218-1226. [PMID: 37287230 PMCID: PMC10983772 DOI: 10.1176/appi.ps.20220375] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
OBJECTIVE An expert consensus approach was used to determine the adequacy of children's psychopharmacology and to examine whether adequacy varied by demographic or clinical characteristics. METHODS Data were from the baseline interview of 601 children, ages 6-12 years, who had visited one of nine outpatient mental health clinics and participated in the Longitudinal Assessment of Manic Symptoms study. Children and parents were interviewed with the Kiddie Schedule for Affective Disorders and Schizophrenia and the Service Assessment for Children and Adolescents to assess the child's psychiatric symptoms and lifetime mental health services use, respectively. An expert consensus approach informed by published treatment guidelines was used to determine the adequacy of children's psychotropic medication treatment. RESULTS Black children (compared with White children; OR=1.84, 95% CI=1.53-2.23) and those with anxiety disorders (vs. no anxiety disorder; OR=1.55, 95% CI=1.08-2.20) were more likely to receive inadequate pharmacotherapy; those whose caregivers had a bachelor's degree or more education (vs. those who had a high school education, general equivalency diploma, or less than high school education; OR=0.74, 95% CI=0.61-0.89) were less likely to receive inadequate pharmacotherapy. CONCLUSIONS The consensus rater approach permitted use of published treatment efficacy data and patient characteristics (e.g., age, diagnoses, history of recent hospitalizations, and psychotherapy) to assess adequacy of pharmacotherapy. These results replicate findings of racial disparities reported in previous research using traditional methods to determine treatment adequacy (e.g., with a minimum number of treatment sessions) and highlight the continued need for research on racial disparities and strategies to improve access to high-quality care.
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Affiliation(s)
- Andrea S Young
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore (Young, Seegan, Crum, Mojtabai, Chiappini); Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Young, Riehm, Crum, Mojtabai); Department of Psychiatry, Virginia Commonwealth University, Richmond (Findling); Department of Epidemiology, Mailman School of Public Health, Columbia University, New York City (Riehm); Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, and Helping Give Away Psychological Science, Chapel Hill, North Carolina (Youngstrom); Department of Psychiatry & Behavioral Health, Ohio State University, Columbus (Fristad, Arnold); Division of Child & Family Psychiatry and Big Lots Behavioral Health Services, Nationwide Children's Hospital, Columbus, Ohio (Fristad); Department of Psychiatry, University of Pittsburgh, Pittsburgh (Birmaher); Department of Child and Adolescent Psychiatry, Grossman School of Medicine, New York University, New York City (Horwitz)
| | - Robert L Findling
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore (Young, Seegan, Crum, Mojtabai, Chiappini); Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Young, Riehm, Crum, Mojtabai); Department of Psychiatry, Virginia Commonwealth University, Richmond (Findling); Department of Epidemiology, Mailman School of Public Health, Columbia University, New York City (Riehm); Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, and Helping Give Away Psychological Science, Chapel Hill, North Carolina (Youngstrom); Department of Psychiatry & Behavioral Health, Ohio State University, Columbus (Fristad, Arnold); Division of Child & Family Psychiatry and Big Lots Behavioral Health Services, Nationwide Children's Hospital, Columbus, Ohio (Fristad); Department of Psychiatry, University of Pittsburgh, Pittsburgh (Birmaher); Department of Child and Adolescent Psychiatry, Grossman School of Medicine, New York University, New York City (Horwitz)
| | - Kira E Riehm
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore (Young, Seegan, Crum, Mojtabai, Chiappini); Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Young, Riehm, Crum, Mojtabai); Department of Psychiatry, Virginia Commonwealth University, Richmond (Findling); Department of Epidemiology, Mailman School of Public Health, Columbia University, New York City (Riehm); Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, and Helping Give Away Psychological Science, Chapel Hill, North Carolina (Youngstrom); Department of Psychiatry & Behavioral Health, Ohio State University, Columbus (Fristad, Arnold); Division of Child & Family Psychiatry and Big Lots Behavioral Health Services, Nationwide Children's Hospital, Columbus, Ohio (Fristad); Department of Psychiatry, University of Pittsburgh, Pittsburgh (Birmaher); Department of Child and Adolescent Psychiatry, Grossman School of Medicine, New York University, New York City (Horwitz)
| | - Paige Seegan
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore (Young, Seegan, Crum, Mojtabai, Chiappini); Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Young, Riehm, Crum, Mojtabai); Department of Psychiatry, Virginia Commonwealth University, Richmond (Findling); Department of Epidemiology, Mailman School of Public Health, Columbia University, New York City (Riehm); Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, and Helping Give Away Psychological Science, Chapel Hill, North Carolina (Youngstrom); Department of Psychiatry & Behavioral Health, Ohio State University, Columbus (Fristad, Arnold); Division of Child & Family Psychiatry and Big Lots Behavioral Health Services, Nationwide Children's Hospital, Columbus, Ohio (Fristad); Department of Psychiatry, University of Pittsburgh, Pittsburgh (Birmaher); Department of Child and Adolescent Psychiatry, Grossman School of Medicine, New York University, New York City (Horwitz)
| | - Rosa M Crum
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore (Young, Seegan, Crum, Mojtabai, Chiappini); Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Young, Riehm, Crum, Mojtabai); Department of Psychiatry, Virginia Commonwealth University, Richmond (Findling); Department of Epidemiology, Mailman School of Public Health, Columbia University, New York City (Riehm); Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, and Helping Give Away Psychological Science, Chapel Hill, North Carolina (Youngstrom); Department of Psychiatry & Behavioral Health, Ohio State University, Columbus (Fristad, Arnold); Division of Child & Family Psychiatry and Big Lots Behavioral Health Services, Nationwide Children's Hospital, Columbus, Ohio (Fristad); Department of Psychiatry, University of Pittsburgh, Pittsburgh (Birmaher); Department of Child and Adolescent Psychiatry, Grossman School of Medicine, New York University, New York City (Horwitz)
| | - Ramin Mojtabai
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore (Young, Seegan, Crum, Mojtabai, Chiappini); Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Young, Riehm, Crum, Mojtabai); Department of Psychiatry, Virginia Commonwealth University, Richmond (Findling); Department of Epidemiology, Mailman School of Public Health, Columbia University, New York City (Riehm); Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, and Helping Give Away Psychological Science, Chapel Hill, North Carolina (Youngstrom); Department of Psychiatry & Behavioral Health, Ohio State University, Columbus (Fristad, Arnold); Division of Child & Family Psychiatry and Big Lots Behavioral Health Services, Nationwide Children's Hospital, Columbus, Ohio (Fristad); Department of Psychiatry, University of Pittsburgh, Pittsburgh (Birmaher); Department of Child and Adolescent Psychiatry, Grossman School of Medicine, New York University, New York City (Horwitz)
| | - Erika A Chiappini
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore (Young, Seegan, Crum, Mojtabai, Chiappini); Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Young, Riehm, Crum, Mojtabai); Department of Psychiatry, Virginia Commonwealth University, Richmond (Findling); Department of Epidemiology, Mailman School of Public Health, Columbia University, New York City (Riehm); Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, and Helping Give Away Psychological Science, Chapel Hill, North Carolina (Youngstrom); Department of Psychiatry & Behavioral Health, Ohio State University, Columbus (Fristad, Arnold); Division of Child & Family Psychiatry and Big Lots Behavioral Health Services, Nationwide Children's Hospital, Columbus, Ohio (Fristad); Department of Psychiatry, University of Pittsburgh, Pittsburgh (Birmaher); Department of Child and Adolescent Psychiatry, Grossman School of Medicine, New York University, New York City (Horwitz)
| | - Eric A Youngstrom
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore (Young, Seegan, Crum, Mojtabai, Chiappini); Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Young, Riehm, Crum, Mojtabai); Department of Psychiatry, Virginia Commonwealth University, Richmond (Findling); Department of Epidemiology, Mailman School of Public Health, Columbia University, New York City (Riehm); Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, and Helping Give Away Psychological Science, Chapel Hill, North Carolina (Youngstrom); Department of Psychiatry & Behavioral Health, Ohio State University, Columbus (Fristad, Arnold); Division of Child & Family Psychiatry and Big Lots Behavioral Health Services, Nationwide Children's Hospital, Columbus, Ohio (Fristad); Department of Psychiatry, University of Pittsburgh, Pittsburgh (Birmaher); Department of Child and Adolescent Psychiatry, Grossman School of Medicine, New York University, New York City (Horwitz)
| | - Mary A Fristad
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore (Young, Seegan, Crum, Mojtabai, Chiappini); Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Young, Riehm, Crum, Mojtabai); Department of Psychiatry, Virginia Commonwealth University, Richmond (Findling); Department of Epidemiology, Mailman School of Public Health, Columbia University, New York City (Riehm); Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, and Helping Give Away Psychological Science, Chapel Hill, North Carolina (Youngstrom); Department of Psychiatry & Behavioral Health, Ohio State University, Columbus (Fristad, Arnold); Division of Child & Family Psychiatry and Big Lots Behavioral Health Services, Nationwide Children's Hospital, Columbus, Ohio (Fristad); Department of Psychiatry, University of Pittsburgh, Pittsburgh (Birmaher); Department of Child and Adolescent Psychiatry, Grossman School of Medicine, New York University, New York City (Horwitz)
| | - L Eugene Arnold
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore (Young, Seegan, Crum, Mojtabai, Chiappini); Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Young, Riehm, Crum, Mojtabai); Department of Psychiatry, Virginia Commonwealth University, Richmond (Findling); Department of Epidemiology, Mailman School of Public Health, Columbia University, New York City (Riehm); Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, and Helping Give Away Psychological Science, Chapel Hill, North Carolina (Youngstrom); Department of Psychiatry & Behavioral Health, Ohio State University, Columbus (Fristad, Arnold); Division of Child & Family Psychiatry and Big Lots Behavioral Health Services, Nationwide Children's Hospital, Columbus, Ohio (Fristad); Department of Psychiatry, University of Pittsburgh, Pittsburgh (Birmaher); Department of Child and Adolescent Psychiatry, Grossman School of Medicine, New York University, New York City (Horwitz)
| | - Boris Birmaher
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore (Young, Seegan, Crum, Mojtabai, Chiappini); Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Young, Riehm, Crum, Mojtabai); Department of Psychiatry, Virginia Commonwealth University, Richmond (Findling); Department of Epidemiology, Mailman School of Public Health, Columbia University, New York City (Riehm); Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, and Helping Give Away Psychological Science, Chapel Hill, North Carolina (Youngstrom); Department of Psychiatry & Behavioral Health, Ohio State University, Columbus (Fristad, Arnold); Division of Child & Family Psychiatry and Big Lots Behavioral Health Services, Nationwide Children's Hospital, Columbus, Ohio (Fristad); Department of Psychiatry, University of Pittsburgh, Pittsburgh (Birmaher); Department of Child and Adolescent Psychiatry, Grossman School of Medicine, New York University, New York City (Horwitz)
| | - Sarah M Horwitz
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore (Young, Seegan, Crum, Mojtabai, Chiappini); Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore (Young, Riehm, Crum, Mojtabai); Department of Psychiatry, Virginia Commonwealth University, Richmond (Findling); Department of Epidemiology, Mailman School of Public Health, Columbia University, New York City (Riehm); Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, and Helping Give Away Psychological Science, Chapel Hill, North Carolina (Youngstrom); Department of Psychiatry & Behavioral Health, Ohio State University, Columbus (Fristad, Arnold); Division of Child & Family Psychiatry and Big Lots Behavioral Health Services, Nationwide Children's Hospital, Columbus, Ohio (Fristad); Department of Psychiatry, University of Pittsburgh, Pittsburgh (Birmaher); Department of Child and Adolescent Psychiatry, Grossman School of Medicine, New York University, New York City (Horwitz)
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Langfus JA, Chen YL, Janos JA, Youngstrom JK, Findling RL, Youngstrom EA. Psychometric Properties and Clinical Utility of CBCL and P-GBI Sleep Items in Children and Adolescents. JOURNAL OF CLINICAL CHILD AND ADOLESCENT PSYCHOLOGY : THE OFFICIAL JOURNAL FOR THE SOCIETY OF CLINICAL CHILD AND ADOLESCENT PSYCHOLOGY, AMERICAN PSYCHOLOGICAL ASSOCIATION, DIVISION 53 2023:1-18. [PMID: 37972333 PMCID: PMC11096265 DOI: 10.1080/15374416.2023.2272965] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/19/2023]
Abstract
OBJECTIVE Sleep is crucial to overall health, playing a complex role in a wide range of mental health concerns in children and adults. Nevertheless, clinicians may not routinely assess sleep problems due to lack of awareness or limitations such as cost or time. Scoring sleep-related items embedded on broader scales may help clinicians get more out of tools they are already using. The current study explores evidence of reliability, validity, and clinical utility of sleep-related items embedded on two caregiver-report tools: the Child Behavior Checklist (CBCL) and Parent General Behavior Inventory (P-GBI). METHOD Youth aged 5-18 years and their parents were recruited from both an academic medical center (N = 759) and an urban community health center (N = 618). Caregivers completed the CBCL and P-GBI as part of a more comprehensive outpatient evaluation. Exploratory factor analyses, multi-group confirmatory factor analyses, and graded response models evaluated dimensionality, reliability, and invariance across samples. Correlations and receiver operating characteristic curve analyses probed associations with diagnostic and demographic variables. RESULTS Two subscales emerged for each itemset. Across both samples, P-GBI sleep subscales were more reliable and consistent than CBCL sleep subscales, showed greater coverage of sleepiness and insomnia constructs, were better at discriminating individuals within a wider range of sleep complaints, and showed significant correlation with mood disorder diagnoses. CONCLUSIONS The P-GBI sleep items provide a brief, reliable measure for assessing distinct dimensions of sleep complaints and detecting mood symptoms or diagnoses related to the youth's sleep functioning, making them a useful addition to clinical practice.
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Affiliation(s)
- Joshua A. Langfus
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Yen-Ling Chen
- Department of Psychology, University of Nevada, Las Vegas, NV
| | - Jessica A. Janos
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Jennifer K. Youngstrom
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Robert L. Findling
- Department of Psychiatry, Virginia Commonwealth University, Richmond, VA
| | - Eric A. Youngstrom
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC
- Helping Give Away Psychological Science, 501c3
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Jo B, Hastie TJ, Li Z, Youngstrom EA, Findling RL, Horwitz SM. Reorienting Latent Variable Modeling for Supervised Learning. MULTIVARIATE BEHAVIORAL RESEARCH 2023; 58:1057-1071. [PMID: 37229653 PMCID: PMC10674034 DOI: 10.1080/00273171.2023.2182753] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/27/2023]
Abstract
Despite its potentials benefits, using prediction targets generated based on latent variable (LV) modeling is not a common practice in supervised learning, a dominating framework for developing prediction models. In supervised learning, it is typically assumed that the outcome to be predicted is clear and readily available, and therefore validating outcomes before predicting them is a foreign concept and an unnecessary step. The usual goal of LV modeling is inference, and therefore using it in supervised learning and in the prediction context requires a major conceptual shift. This study lays out methodological adjustments and conceptual shifts necessary for integrating LV modeling into supervised learning. It is shown that such integration is possible by combining the traditions of LV modeling, psychometrics, and supervised learning. In this interdisciplinary learning framework, generating practical outcomes using LV modeling and systematically validating them based on clinical validators are the two main strategies. In the example using the data from the Longitudinal Assessment of Manic Symptoms (LAMS) Study, a large pool of candidate outcomes is generated by flexible LV modeling. It is demonstrated that this exploratory situation can be used as an opportunity to tailor desirable prediction targets taking advantage of contemporary science and clinical insights.
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Youngstrom EA, Young AS, Van Eck K, Stepanova E, Langfus JA, Carlson G, Findling RL. Developing Empirical Latent Profiles of Impulsive Aggression and Mood in Youths across Three Outpatient Samples. JOURNAL OF CLINICAL CHILD AND ADOLESCENT PSYCHOLOGY : THE OFFICIAL JOURNAL FOR THE SOCIETY OF CLINICAL CHILD AND ADOLESCENT PSYCHOLOGY, AMERICAN PSYCHOLOGICAL ASSOCIATION, DIVISION 53 2023; 52:196-211. [PMID: 34125637 PMCID: PMC9173587 DOI: 10.1080/15374416.2021.1929251] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
OBJECTIVE Aggression with impulsivity and reactivity (AIR) may distinguish a subset of youth from those with attention problems, rule-breaking behavior, or mood disorders, potentially with differential treatment response. Yet, DSM-5 and ICD-10 do not include an AIR diagnosis. Thus, we empirically grouped youths into profiles based on AIR, manic, depressive, rule-breaking, and self-harm behaviors; examined which profiles replicated across three samples; and characterized profile sets on demographic and clinical features. METHOD After harmonizing data from three samples (n = 679, n = 392, n = 634), Latent Profile Analysis (LPA) assigned youth to profiles based on caregiver-reported measures of AIR, manic, depressive, rule-breaking, and self-harm behaviors. Profiles from each sample were grouped into sets based on profile similarity. Analyses tested differences in diagnoses, sex, and race, age, functioning, and mood severity. RESULTS Eight-profile solutions fit best. Seven profiles replicated across samples: high AIR and self-harm, lower depressive and manic scores; high AIR, manic symptoms, and self-harm; high depression symptoms; three smaller sets with high manic and depressive symptoms and moderate AIR; and two high rates of bipolar diagnoses and family bipolar history. Two sets were high on both AIR and mood symptoms, were the most impaired, and had the highest comorbidity. CONCLUSIONS Analyses support an empirical definition of AIR, separate from mood disorders. Profile sets distinguished by level of AIR and mood symptoms differed in demographic and diagnostic characteristics as well as functioning. Importantly, a set emerged with high AIR but low mood indicators and with high rates of ADHD and ODD, but not mood disorder.
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Affiliation(s)
- Eric A Youngstrom
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill
| | | | | | | | - Joshua A Langfus
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill
| | - Gabrielle Carlson
- Department of Psychiatry, State University of New York at Stony Brook
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Bell ZE, Fristad MA, Youngstrom EA, Arnold LE, Beauchaine TP. Attention-Deficit/Hyperactivity Disorder Symptoms and Externalizing Progression in the LAMS Study: A Test of Trait Impulsivity Theory. J Am Acad Child Adolesc Psychiatry 2022; 61:298-307. [PMID: 34098014 PMCID: PMC8642493 DOI: 10.1016/j.jaac.2021.05.018] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Revised: 03/28/2021] [Accepted: 05/28/2021] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To test differential prospective prediction of growth in externalizing behavior, including oppositional defiant disorder, conduct disorder, and substance use disorders, by earlier hyperactive-impulsive (HI) vs inattentive (IN) symptoms of attention-deficit/hyperactivity disorder (ADHD). METHOD Participants in the Longitudinal Assessment of Manic Symptoms (LAMS) Study (N = 685 at study entry), including 458 boys and 227 girls ages 6-12, completed full parent report and self-report assessments every year for 8 years on the Schedule for Affective Disorders and Schizophrenia for School-Age Children. Three sets of analyses were conducted. First, hierarchal regression (block entry) was used to test independent associations between HI symptoms and later externalizing outcomes, controlling for IN symptoms, and IN symptoms and later externalizing outcomes, controlling for HI symptoms. Second, logistic regression was used to test progression of DSM externalizing disorders. Third, tests of mediation were used to assess potentiation of externalizing progression through environmental risk mediators (eg, family environment, neighborhood violence). RESULTS Consistent with hypotheses derived from trait impulsivity theories of externalizing behavior, HI symptoms of ADHD were associated independently with long-term externalizing outcomes, whereas IN symptoms were not. Between months 48 and 96, ADHD-HI/combined symptom subtype diagnoses predicted later oppositional defiant disorder diagnoses, oppositional defiant disorder diagnoses predicted later conduct disorder diagnoses, and conduct disorder diagnoses predicted later substance use disorder diagnoses. Evidence for environmental risk mediation (eg, parental monitoring, neighborhood violence) was also found. CONCLUSION Findings support trait impulsivity models of externalizing progression, whereby ADHD-HI/combined symptoms subtypes predispose to increasingly severe externalizing behaviors, which are magnified in contexts of environmental risk.
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Systematic Review and Network Meta-analysis: Efficacy and Safety of Second-Generation Antipsychotics in Youths With Bipolar Depression. J Am Acad Child Adolesc Psychiatry 2022; 61:243-254. [PMID: 34420839 DOI: 10.1016/j.jaac.2021.03.021] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2020] [Revised: 02/27/2021] [Accepted: 04/19/2021] [Indexed: 12/23/2022]
Abstract
OBJECTIVE To assess the relative efficacy and safety of second-generation antipsychotics for treating major depressive episodes in youths with bipolar disorder. METHOD A systematic literature review using PRISMA guidelines and network meta-analysis (NMA) of randomized controlled trials (RCTs) of second-generation antipsychotics for bipolar depression in youths 10 to 18 years of age was conducted. Efficacy measures included Children's Depression Rating Scale, Revised (CDRS-R) and Clinical Global Impressions-Bipolar Disorder-Severity Depression (CGI-BP-S-depression) and Overall (CGI-BP-S-overall) scores. Available safety outcomes included discontinuations (all-cause, lack of efficacy, adverse events), metabolic parameters (weight change, cholesterol, triglycerides, glucose), changes in prolactin, and somnolence. Results from the NMA were reported as mean changes from baseline or odds ratios (OR) with 95% credible intervals (CrIs). RESULTS Four RCTs comparing placebo to lurasidone, quetiapine (1 each for immediate- and extended-release), and the olanzapine-fluoxetine combination (OFC) met all of the inclusion criteria. Lurasidone and OFC demonstrated similar and statistically significant improvements in CDRS-R, but quetiapine did not (lurasidone: -5.70 [-8.66, -2.76]; OFC: -5.01 [-8.63, -1.38]; quetiapine: -1.85 [-5.99, 2.27]). Lurasidone was associated with smaller changes in weight, cholesterol, and triglycerides from baseline compared to OFC and quetiapine. There were no differences in changes in glucose levels among antipsychotics. In addition, lurasidone was associated with smaller change in prolactin levels compared to OFC but not quetiapine. CONCLUSION Evidence from 4 studies in this NMA indicated that lurasidone and OFC, but not quetiapine, were efficacious for the treatment of bipolar depression in youths. Lurasidone was associated with less weight gain and smaller impacts on cholesterol and triglycerides compared with quetiapine and OFC.
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Van Meter AR, Hafeman DM, Merranko J, Youngstrom EA, Birmaher BB, Fristad MA, Horwitz SM, Arnold LE, Findling RL. Generalizing the Prediction of Bipolar Disorder Onset Across High-Risk Populations. J Am Acad Child Adolesc Psychiatry 2021; 60:1010-1019.e2. [PMID: 33038454 PMCID: PMC8075632 DOI: 10.1016/j.jaac.2020.09.017] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Revised: 09/08/2020] [Accepted: 09/19/2020] [Indexed: 12/25/2022]
Abstract
OBJECTIVE Risk calculators (RC) to predict clinical outcomes are gaining interest. An RC to estimate risk of bipolar spectrum disorders (BPSD) could help reduce the duration of undiagnosed BPSD and improve outcomes. Our objective was to adapt an RC previously validated in the Pittsburgh Bipolar Offspring Study (BIOS) sample to achieve adequate predictive ability in both familial high-risk and clinical high-risk youths. METHOD Participants (aged 6-12 years at baseline) from the Longitudinal Assessment of Manic Symptoms (LAMS) study (N = 473) were evaluated semi-annually. Evaluations included a Kiddie Schedule for Affective Disorders (K-SADS) interview. After testing an RC that closely approximated the original, we made modifications to improve model prediction. Models were trained in the BIOS data, which included biennial K-SADS assessments, and tested in LAMS. The final model was then trained in LAMS participants, including family history of BPSD as a predictor, and tested in the familial high-risk sample. RESULTS Over follow-up, 65 youths newly met criteria for BPSD. The original RC identified youths who developed BPSD only moderately well (area under the curve [AUC] = 0.67). Eliminating predictors other than the K-SADS screening items for mania and depression improved accuracy (AUC = 0.73) and generalizability. The model trained in LAMS, including family history as a predictor, performed well in the BIOS sample (AUC = 0.74). CONCLUSION The clinical circumstances under which the assessment of symptoms occurs affects RC accuracy; focusing on symptoms related to the onset of BPSD improved generalizability. Validation of the RC under clinically realistic circumstances will be an important next step.
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Affiliation(s)
- Anna R Van Meter
- The Feinstein Institutes for Medical Research, The Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, and The Zucker Hillside Hospital, Glen Oaks, New York.
| | | | - John Merranko
- The University of Pittsburgh Medical Center, Pennsylvania
| | | | | | - Mary A Fristad
- The Ohio State University College of Medicine, Columbus, Ohio; Nationwide Children's Hospital, Columbus, Ohio
| | | | - L Eugene Arnold
- The Ohio State University College of Medicine, Columbus, Ohio
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Horwitz SM, Hoagwood KE, Guo F, Arnold LE, Taylor HG, Young AS, Youngstrom EA, Fristad MA, Birmaher B, Findling RL. Predictors of Hospitalization in a Cohort of Children with Elevated Symptoms of Mania. ADMINISTRATION AND POLICY IN MENTAL HEALTH AND MENTAL HEALTH SERVICES RESEARCH 2021; 48:171-180. [PMID: 32556647 PMCID: PMC8112451 DOI: 10.1007/s10488-020-01059-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
Describe hospitalization rates in children with elevated symptoms of mania and determine predictors of psychiatric hospitalizations during the 96 month follow-up. Eligible 6-12.9 year olds and their parents visiting 9 outpatient mental health clinics were invited to be screened with the Parent General Behavior Inventory 10-item Mania Scale. Of 605 children with elevated symptoms of mania eligible for follow-up, 538 (88.9%) had ≥ 1 of 16 possible follow-up interviews and are examined herein. Multivariate Cox regression indicated only four factors predicted hospitalizations: parental mental health problems (HR 1.80; 95% CI 1.21, 2.69); hospitalization prior to study entry (HR 3.03; 95% CI 1.80, 4.43); continuous outpatient mental health service use (HR 3.73; 95% CI 2.40, 5.50); and low parental assessment of how well treatment matched child's needs (HR 3.97; 95% CI 2.50, 6.31). Parental perspectives on mental health services should be gathered routinely, as they can signal treatment failures.
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Affiliation(s)
- Sarah McCue Horwitz
- Department of Child and Adolescent Psychiatry, New York University School of Medicine, 1 Park Avenue, New York, NY, 10016, USA.
| | - Kimberly Eaton Hoagwood
- Department of Child and Adolescent Psychiatry, New York University School of Medicine, 1 Park Avenue, New York, NY, 10016, USA
| | - Fei Guo
- Department of Population Health, New York University School of Medicine, 1 Park Avenue, New York, NY, 10016, USA
| | - L Eugene Arnold
- Department of Psychiatry and Behavioral Health, Ohio State University, McCampbell Hall, 1581 Dodd Drive, Columbus, OH, USA
| | - H Gerry Taylor
- Nationwide Children's Hospital Research Institute and Department of Pediatrics, The Ohio State University, 700 Children's Drive, Columbus, OH, 43205, USA
| | - Andrea S Young
- Department of Psychiatry and Behavioral Sciences, Division of Child & Adolescent Psychiatry, Johns Hopkins University School of Medicine, 1800 Orleans Street, Baltimore, MD, 21287, USA
| | - Eric A Youngstrom
- Department of Psychology and Neuroscience, University of North Carolina, Davie Hall, Chapel Hill, NC, 27599-3270, USA
| | - Mary A Fristad
- Department of Psychiatry and Behavioral Health, The Ohio State University Wexner Medical Center, 1670 Upham Hall Suite 460G, Columbus, OH, 43210-1250, USA
| | - Boris Birmaher
- Department of Psychiatry, School of Medicine, University of Pittsburgh, 3811 O'Hara St, Pittsburgh, PA, 15213, USA
| | - Robert L Findling
- Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, 23298-0308, USA
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11
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Diaz AP, Cuellar VA, Vinson EL, Suchting R, Durkin K, Fernandes BS, Scaini G, Kazimi I, Zunta-Soares GB, Quevedo J, Sanches M, Soares JC. The Greater Houston Area Bipolar Registry-Clinical and Neurobiological Trajectories of Children and Adolescents With Bipolar Disorders and High-Risk Unaffected Offspring. Front Psychiatry 2021; 12:671840. [PMID: 34149481 PMCID: PMC8211873 DOI: 10.3389/fpsyt.2021.671840] [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: 02/24/2021] [Accepted: 05/05/2021] [Indexed: 12/02/2022] Open
Abstract
The aims of this article are to discuss the rationale, design, and procedures of the Greater Houston Area Bipolar Registry (HBR), which aims at contributing to the effort involved in the investigation of neurobiological mechanisms underlying bipolar disorder (BD) as well as to identify clinical and neurobiological markers able to predict BD clinical course. The article will also briefly discuss examples of other initiatives that have made fundamental contributions to the field. This will be a longitudinal study with participants aged 6-17 at the time of enrollment. Participants will be required to meet diagnostic criteria for BD, or to be offspring of a parent with BD. We will also enroll healthy controls. Besides clinical information, which includes neurocognitive performance, participants will be asked to provide blood and saliva samples as well as to perform neuroimaging exams at baseline and follow-ups. Several studies point to the existence of genetic, inflammatory, and brain imaging alterations between individuals at higher genetic risk for BD compared with healthy controls. Longitudinal designs have shown high conversion rates to BD among high-risk offspring, with attempts to identify clinical predictors of disease onset, as well as clarifying the burden associated with environmental stressors. The HBR will help in the worldwide effort investigating the clinical course and neurobiological mechanisms of affected and high-risk children and adolescents with BD.
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Affiliation(s)
- Alexandre Paim Diaz
- Center of Excellence on Mood Disorders, McGovern Medical School, Faillace Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, United States.,Translational Psychiatry Program, Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, United States
| | - Valeria A Cuellar
- Center of Excellence on Mood Disorders, McGovern Medical School, Faillace Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, United States
| | - Elizabeth L Vinson
- Center of Excellence on Mood Disorders, McGovern Medical School, Faillace Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, United States
| | - Robert Suchting
- Center of Excellence on Mood Disorders, McGovern Medical School, Faillace Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, United States
| | - Kathryn Durkin
- Center of Excellence on Mood Disorders, McGovern Medical School, Faillace Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, United States
| | - Brisa S Fernandes
- Center of Excellence on Mood Disorders, McGovern Medical School, Faillace Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, United States.,Translational Psychiatry Program, Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, United States
| | - Giselli Scaini
- Center of Excellence on Mood Disorders, McGovern Medical School, Faillace Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, United States.,Translational Psychiatry Program, Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, United States
| | - Iram Kazimi
- Center of Excellence on Mood Disorders, McGovern Medical School, Faillace Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, United States.,Methodist Hospital, Houston, TX, United States
| | - Giovana B Zunta-Soares
- Center of Excellence on Mood Disorders, McGovern Medical School, Faillace Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, United States
| | - João Quevedo
- Center of Excellence on Mood Disorders, McGovern Medical School, Faillace Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, United States.,Translational Psychiatry Program, Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, United States.,Neuroscience Graduate Program, The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX, United States.,Translational Psychiatry Laboratory, Graduate Program in Health Sciences, University of Southern Santa Catarina, Criciúma, SC, Brazil
| | - Marsal Sanches
- Center of Excellence on Mood Disorders, McGovern Medical School, Faillace Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, United States
| | - Jair C Soares
- Center of Excellence on Mood Disorders, McGovern Medical School, Faillace Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, United States.,Translational Psychiatry Program, Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, United States
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12
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Salem T, Fristad MA, Arnold LE, Taylor HG, Frazier TW, Horwitz SM, Findling RL, Group TL. Affective Processing Biases in Relation to Past, Current, and Future Depression in Children and Adolescents. J Affect Disord 2020; 273:146-156. [PMID: 32421595 PMCID: PMC9261905 DOI: 10.1016/j.jad.2020.03.150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Revised: 02/19/2020] [Accepted: 03/29/2020] [Indexed: 11/18/2022]
Abstract
BACKGROUND The affective go/no-go (AGN) task has been used to assess affective biases in attention set-shifting and deficits in inhibitory control of emotional information among depressed youth, but results have been inconsistent. We aimed to test AGN robustness and clarify temporal relationships between depressive symptoms and affective processing in youth. METHODS We evaluated AGN performance twice (Time 1 N = 306; Time 2 N = 238) in relation to current, previous, and future depression in the same children/adolescents with depression and those without diagnoses who participated in the Longitudinal Assessment of Manic Symptoms (LAMS) study. Mixed repeated ANCOVAs were powered to detect small-medium group by valence interactions in response latency and errors. Supplemental regression analyses examined depressive symptoms as a continuous variable in relation to AGN performance. RESULTS No clear pattern emerged, mirroring the broader AGN literature. In primary analyses, group by valence interactions were only observed at one AGN administration; none replicated across administrations. Similarly, in regression analyses depressive symptoms had no relation to affective processing biases/deficits at AGN Time 1, though some relationships were detected between symptoms and AGN Time 2. LIMITATIONS Relatively few youth met criteria for a depressive disorder, though analyses were appropriately powered and supplemental analyses examined depressive symptoms continuously. Comparison groups were not healthy controls at recruitment but were free from any Axis I disorder at AGN administration. CONCLUSIONS Given the inconsistency of AGN findings, attention should be focused on tasks that provide more sensitive, robust measures of emotional information processing in depressed youth.
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Affiliation(s)
- Taban Salem
- Department of Psychiatry and Behavioral Health, The Ohio State University, Columbus, OH.
| | - Mary A Fristad
- Department of Psychiatry and Behavioral Health, The Ohio State University, Columbus, OH; Departments of Psychology and Nutrition, The Ohio State University, Columbus, OH
| | - L Eugene Arnold
- Department of Psychiatry and Behavioral Health, The Ohio State University, Columbus, OH
| | - H Gerry Taylor
- Biobehavioral Health Center, Abigail Wexner Research Institute at Nationwide Children's Hospital, and Department of Pediatrics, The Ohio State University, Columbus, OH
| | | | - Sarah M Horwitz
- Department of Child and Adolescent Psychiatry, New York University School of Medicine, New York, NY
| | - Robert L Findling
- Department of Psychiatry, Virginia Commonwealth University, Richmond, VA
| | - The Lams Group
- Department of Psychiatry, Division of Child and Adolescent Psychiatry, Case Western Reserve University, Cleveland, OH; and Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh, Pittsburgh, PA; and Division of Psychiatry, Cincinnati Children's Hospital Medical Center, Cincinnati, OH
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13
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Duffy A, Carlson G, Dubicka B, Hillegers MHJ. Pre-pubertal bipolar disorder: origins and current status of the controversy. Int J Bipolar Disord 2020; 8:18. [PMID: 32307651 PMCID: PMC7167382 DOI: 10.1186/s40345-020-00185-2] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2020] [Accepted: 03/17/2020] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND Evidence from epidemiological, clinical and high-risk studies has established that the peak period of risk for onset of bipolar disorder spans late adolescence and early adulthood. However, the proposal of the existence of a pre-pubertal form of bipolar disorder manifesting in early childhood created substantial debate. In this narrative review, the literature and contributing factors pertaining to the controversy surrounding the proposed pre-pubertal bipolar disorder subtype are discussed. The resolution of the debate and lessons learned are highlighted. MAIN BODY In the mid 1990s US researchers proposed that chronic irritability and explosive temper in pre-pubertal children with pre-existing ADHD and/or other learning and developmental disorders might represent a variant of mania. A number of factors contributed to this proposal including severely ill children with no diagnostic home given changes in the ADHD DSM diagnostic criteria and over-reliance on symptoms and structured interviews rather than on a clinical assessment incorporating developmental history, social context and clinical course. Prospective studies of children at high familial risk did not support the proposed pre-pubertal bipolar phenotype; but rather provided convergent evidence that bipolar disorder onset in adolescence and early adulthood not uncommonly preceded by sleep and internalizing symptoms and most often debuting as depression in adolescence (after puberty). Epidemiological studies of population and hospital discharge data provided evidence that the pre-pubertal bipolar phenotype was largely a US driven phenomenon. CONCLUSIONS Psychiatric diagnosis is particularly challenging given the current lack of objective biomarkers. However, validity and utility of clinical diagnoses can be strengthened if all available predictive information is used to formulate a diagnosis. As in other areas of medicine, critical information required to make a valid diagnosis includes developmental history, clinical course, family history and treatment response-weighed against the known trajectories of classical disorders. Moreover, given that psychiatric disorders are in evolution over childhood and adolescence and symptoms, in of themselves, are often non-specific, a thorough clinical assessment incorporating collateral history and psychosocial context is paramount. Such an approach might have avoided or at least brought a more timely resolution to the debate on pre-pubertal mania.
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Affiliation(s)
- A. Duffy
- Queen’s University, Kingston, Canada
- Department of Psychiatry, University Oxford, Oxford, UK
| | - G. Carlson
- Renaissance School of Medicine, Stonybrook University, Stony Brook, NY USA
| | - B. Dubicka
- Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - M. H. J. Hillegers
- Department of Child and Adolescent Psychiatry and Psychology, Erasmus Medical Center-Sophia Children’s Hospital, Rotterdam, The Netherlands
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14
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Arnold LE, Meter AV, Fristad MA, Youngstrom EA, Birmaher BB, Findling RL, Horwitz S, Black SR. Development of bipolar disorder and other comorbidity among youth with attention-deficit/hyperactivity disorder. J Child Psychol Psychiatry 2020; 61:175-181. [PMID: 31523819 PMCID: PMC6980179 DOI: 10.1111/jcpp.13122] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/09/2019] [Indexed: 01/05/2023]
Abstract
OBJECTIVE To examine development of bipolar spectrum disorders (BPSD) and other disorders in prospectively followed children with attention-deficit/hyperactivity disorder (ADHD). METHOD In the Longitudinal Assessment of Manic Symptoms (LAMS) study, 531 of 685 children age 6-12 (most selected for scores > 12 on General Behavior Inventory 10-item Mania scale) had ADHD, 112 with BPSD, and 419 without. With annual assessments for 8 years, retention averaged 6.2 years. Chi-square analyses compared rate of new BPSD and other comorbidity between those with versus without baseline ADHD and between retained versus resolved ADHD diagnosis. Cox regression tested factors influencing speed of BPSD onset. RESULTS Of 419 with baseline ADHD but not BPSD, 52 (12.4%) developed BPSD, compared with 16 of 110 (14.5%) without either baseline diagnosis. Those who developed BPSD had more nonmood comorbidity over the follow-up than those who did not develop BPSD (p = .0001). Of 170 who still had ADHD at eight-year follow-up (and not baseline BPSD), 26 (15.3%) had developed BPSD, compared with 16 of 186 (8.6%) who had ADHD without BPSD at baseline but lost the ADHD diagnosis (χ2 = 3.82, p = .051). There was no statistical difference in whether ADHD persisted or not across new BPSD subtypes (χ2 = 1.62, p = .446). Of those who developed BPSD, speed of onset was not significantly related to baseline ADHD (p = .566), baseline anxiety (p = .121), baseline depression (p = .185), baseline disruptive behavior disorder (p = .184), age (B = -.11 p = .092), maternal mania (p = .389), or paternal mania (B = .73, p = .056). Those who started with both diagnoses had more severe symptoms/impairment than those with later developed BPSD and reported having ADHD first. CONCLUSIONS In a cohort selected for symptoms of mania at age 6-12, baseline ADHD was not a significant prospective risk factor for developing BPSD. However, persistence of ADHD may marginally mediate risk of BPSD, and early comorbidity of both diagnoses increases severity/impairment.
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Affiliation(s)
| | - Anna Van Meter
- Department of Psychiatry Research, Feinstein Institute for Medical Research, The Zucker Hillside Hospital, New York, NY
| | | | | | | | | | - Sarah Horwitz
- Department of Child and Adolescent Psychiatry, New York University School of Medicine, New York, NY
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15
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Hanford LC, Eckstrand K, Manelis A, Hafeman DM, Merranko J, Ladouceur CD, Graur S, McCaffrey A, Monk K, Bonar LK, Hickey MB, Goldstein TR, Goldstein BI, Axelson D, Bebko G, Bertocci MA, Gill MK, Birmaher B, Phillips ML. The impact of familial risk and early life adversity on emotion and reward processing networks in youth at-risk for bipolar disorder. PLoS One 2019; 14:e0226135. [PMID: 31830059 PMCID: PMC6907842 DOI: 10.1371/journal.pone.0226135] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2019] [Accepted: 11/20/2019] [Indexed: 12/11/2022] Open
Abstract
A recently developed risk calculator for bipolar disorder (BD) accounts for clinical and parental psychopathology. Yet, it is understood that both familial predisposition and early life adversity contribute to the development of BD. How the interplay between these two factors influence emotion and reward processing networks in youth at risk for BD remains unclear. In this exploratory analysis, offspring of BD parents performed emotion and reward processing tasks while undergoing a fMRI scan. Risk calculator score was used to assess risk for developing BD in the next 5 years. Environmental risk was tabulated using the Stressful Life Events Schedule (SLES). Emotion and reward processing networks were investigated for genetic and/or environment interactions. Interaction effects were found between risk calculator scores, negative SLES score and activity in right amygdala and bilateral fusiform gyri during the emotion processing task, as well as activity in the fronto-, striatal, and parietal regions during the reward processing task. Our findings are preliminary; however, they support the unique and interactive contributions of both familial and environmental risk factors on emotion and reward processing within OBP. They also identify potential neural targets to guide development of interventions for youth at greatest risk for psychiatric disorders.
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Affiliation(s)
- Lindsay C. Hanford
- Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Kristen Eckstrand
- Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Anna Manelis
- Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Danella M. Hafeman
- Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - John Merranko
- Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Cecile D. Ladouceur
- Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Simona Graur
- Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Alicia McCaffrey
- Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Kelly Monk
- Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Lisa K. Bonar
- Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Mary Beth Hickey
- Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Tina R. Goldstein
- Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Benjamin I. Goldstein
- Psychiatry, Sunnybrook Health Sciences Centre, Toronto, Canada
- Pharmacology and Toxicology, University of Toronto, Toronto, Canada
| | - David Axelson
- Nationwide Children’s Hospital and The Ohio State College of Medicine, Columbus, Ohio, United States of America
| | - Genna Bebko
- Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Michele A. Bertocci
- Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Mary Kay Gill
- Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Boris Birmaher
- Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Mary L. Phillips
- Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
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Baseline and follow-up activity and functional connectivity in reward neural circuitries in offspring at risk for bipolar disorder. Neuropsychopharmacology 2019; 44:1570-1578. [PMID: 30755725 PMCID: PMC6785101 DOI: 10.1038/s41386-019-0339-2] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2018] [Revised: 01/19/2019] [Accepted: 02/06/2019] [Indexed: 12/15/2022]
Abstract
Bipolar disorder (BD) is a serious psychiatric illness with demonstrated abnormalities in reward processing circuitry. Examining this circuitry in youth at familial risk for BD may provide further insight into the underlying mechanisms of BD development. In this study, we compared offspring of bipolar parents (OBP, n = 32), offspring of comparison parents with non-BD psychopathology (OCP, n = 36), and offspring of healthy parents (OHP, n = 39) during a functional magnetic resonance imaging reward processing task. Elastic net regression analyses identified 26 activity, functional connectivity (FC), and demographic variables that explained 34.24% of the variance in group (λ = 0.224). ANOVA and post-hoc analyses revealed that OBP had significantly lower right ventral striatum-left caudal anterior cingulate FC to loss (OBP versus OCP: p = 0.028, OBP versus OHP: p = 0.015) and greater right pars orbitalis-left (OBP versus OCP: p = 0.003, OBP versus OHP: p = 0.036) and -right (OBP versus OCP: p = 0.001, OBP versus OHP: p = 0.038) orbitofrontal cortex FC to reward versus OCP and OHP, respectively. These findings were not affected by non-BD psychopathology, psychotropic medication use, or symptomatology. There were no changes in, or relationships between, neuroimaging or symptom measures at follow-up (mean(SD) = 2.70(1.22) year inter-scan interval) in a subset of youth with follow-up data (OBP, n = 14; OCP, n = 8; OHP, n = 19). These findings suggest that lower right ventral striatum-left caudal anterior cingulate FC to loss and greater right pars orbitalis-orbitofrontal cortex FC to reward may be trait-level neural markers that may reflect risk for BD in at-risk youth. These findings comprise important steps toward identifying neural markers of BD risk, which may enhance early identification and guide interventions for youth at familial risk for BD.
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Young AS, Youngstrom EA, Findling RL, Van Eck K, Kaplin D, Youngstrom JK, Calabrese J, Stepanova E, The Lams Consortium. Developing and Validating a Definition of Impulsive/Reactive Aggression in Youth. JOURNAL OF CLINICAL CHILD AND ADOLESCENT PSYCHOLOGY 2019; 49:787-803. [PMID: 31343896 DOI: 10.1080/15374416.2019.1622121] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
The goal of this study is to develop a rational data-driven definition of impulsive/reactive aggression and establish distinctions between impulsive/reactive aggression and other common childhood problems. This is a secondary analysis of data from Assessing Bipolar: A Community Academic Blend (ABACAB; N = 636, ages 5-18), Stanley Medical Research Institute N = 392, ages 5-17), and the Longitudinal Assessment of Manic Symptoms (LAMS; N = 679, ages 6-12) studies, which recruited youths seeking outpatient mental health services in academic medical centers and community clinics. Following Jensen et al.'s (2007) procedure, 3 judges independently rated items from several widely used scales in terms of assessing impulsive/reactive aggression. Principal components analyses (PCA) modeled structure of the selected items supplemented by items related to mood symptoms, rule-breaking behavior, and hyperactivity/impulsivity to better define the boundaries between impulsive/reactive aggression and other common childhood symptoms. In the rational item selection process, there was good agreement among the 3 experts who rated items as characterizing impulsive/reactive aggression or not. PCA favored 5 dimension solutions in all 3 samples. Across all samples, PCA resulted in rule-breaking behavior, aggression-impulsive/reactive (AIR), mania, and depression dimensions; there was an additional hyperactive/impulsive dimension in the LAMS sample and a self-harm dimension in ABACAB and Stanley samples. The dimensions demonstrated good internal consistency; criterion validity coefficients also showed consistency across samples. This study is a step toward developing an empirically derived nosology of impulsive aggression/AIR. Findings support the validity of the AIR construct, which can be distinguished from manic and depressive symptoms as well as rule-breaking behavior.
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Affiliation(s)
- Andrea S Young
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University
| | - Eric A Youngstrom
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill
| | - Robert L Findling
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University
| | - Kathryn Van Eck
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University
| | - Dana Kaplin
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University
| | - Jennifer K Youngstrom
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill
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18
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Van Meter A, Guinart D, Bashir A, Sareen A, Cornblatt BA, Auther A, Carrión RE, Carbon M, Jiménez-Fernández S, Vernal DL, Walitza S, Gerstenberg M, Saba R, Cascio NL, Correll CU. Bipolar Prodrome Symptom Scale - Abbreviated Screen for Patients: Description and validation. J Affect Disord 2019; 249:357-365. [PMID: 30807937 DOI: 10.1016/j.jad.2019.02.040] [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: 09/20/2018] [Revised: 02/04/2019] [Accepted: 02/11/2019] [Indexed: 12/01/2022]
Abstract
OBJECTIVE There is no standard method for assessing symptoms of the prodrome to bipolar disorder (BD), which has limited progress toward early identification and intervention. We aimed to validate the Bipolar Prodrome Symptom Scale-Abbreviated Screen for Patients (BPSS-AS-P), a brief self-report derived from the validated, clinician-rated Bipolar Prodrome Symptom Interview and Scale-Full Prospective (BPSS-FP), as a means to screen and identify people for whom further evaluation is indicated. METHOD Altogether, 134 participants (aged 12-18 years) were drawn from a study of the pre-syndromal stage of mood and psychotic disorders. All participants had chart diagnoses of a mood- or psychosis-spectrum disorder. Participants were interviewed with the BPSS-FP and completed measures of mania and non-mood psychopathology. Prior to being interviewed, patients completed the BPSS-AS-P. Scores on the BPSS-AS-P were determined by summing the severity and frequency ratings for each item. RESULTS BPSS-AS-P scores were highly reliable (Cronbach's alpha = 0.94) and correlated with the interview-based BPSS-FP Mania Symptom Index (r = 0.55, p < .0001). BPSS-AS-P scores had good convergent validity, correlating with the General Behavior Inventory-10M (r = 0.65, p < .0001) and Young Mania Rating Scale; r = 0.48, p < .0001). The BPSS-AS-P had good discriminant validity, not being correlated with scales measuring positive and negative symptoms of psychotic disorders (p-values = 0.072-0.667). LIMITATIONS Findings are limited by the cross-sectional nature of the study by the fact that the participants were all treatment-seeking. Future studies need to evaluate the predictive validity of the BPSS-AS-P for identifying those who develop BD in a community sample. CONCLUSION BPSS-AS-P has promise as a screening tool for people at risk for BD. Adopting the BPSS-AS-P would support the goal of characterizing the prodrome systematically in order to facilitate research and clinical care.
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Affiliation(s)
- Anna Van Meter
- The Zucker Hillside Hospital, Department of Psychiatry, Northwell Health, Glen Oaks, NY, USA; Hofstra Northwell School of Medicine, Department of Psychiatry and Molecular Medicine, Hempstead, NY, USA; The Feinstein Institute for Medical Research, Manhasset, NY, USA
| | - Daniel Guinart
- The Zucker Hillside Hospital, Department of Psychiatry, Northwell Health, Glen Oaks, NY, USA
| | - Asjad Bashir
- The Zucker Hillside Hospital, Department of Psychiatry, Northwell Health, Glen Oaks, NY, USA
| | - Aditya Sareen
- The Zucker Hillside Hospital, Department of Psychiatry, Northwell Health, Glen Oaks, NY, USA
| | - Barbara A Cornblatt
- The Zucker Hillside Hospital, Department of Psychiatry, Northwell Health, Glen Oaks, NY, USA; Hofstra Northwell School of Medicine, Department of Psychiatry and Molecular Medicine, Hempstead, NY, USA; The Feinstein Institute for Medical Research, Manhasset, NY, USA
| | - Andrea Auther
- The Zucker Hillside Hospital, Department of Psychiatry, Northwell Health, Glen Oaks, NY, USA
| | - Ricardo E Carrión
- The Zucker Hillside Hospital, Department of Psychiatry, Northwell Health, Glen Oaks, NY, USA; Hofstra Northwell School of Medicine, Department of Psychiatry and Molecular Medicine, Hempstead, NY, USA; The Feinstein Institute for Medical Research, Manhasset, NY, USA
| | - Maren Carbon
- The Zucker Hillside Hospital, Department of Psychiatry, Northwell Health, Glen Oaks, NY, USA
| | - Sara Jiménez-Fernández
- Child and Adolescent Mental Health Unit, Jaén Medical Center, Jaén, Spain; Department of Psychiatry, University of Granada, Granada, Spain
| | - Ditte L Vernal
- Research Unit for Child- and Adolescent Psychiatry, Aalborg University Hospital, North Denmark Region, Denmark
| | - Susanne Walitza
- Psychiatric University Hospital Zurich, Department of Child and Adolescent Psychiatry and Psychotherapy, Zurich, Switzerland
| | - Miriam Gerstenberg
- Psychiatric University Hospital Zurich, Department of Child and Adolescent Psychiatry and Psychotherapy, Zurich, Switzerland
| | - Riccardo Saba
- Department of Neurology and Psychiatry, Sapienza University of Rome, Rome, Italy
| | - Nella Lo Cascio
- Charité Universitätsmedizin, Department of Child and Adolescent Psychiatry, Berlin, Germany
| | - Christoph U Correll
- The Zucker Hillside Hospital, Department of Psychiatry, Northwell Health, Glen Oaks, NY, USA; Hofstra Northwell School of Medicine, Department of Psychiatry and Molecular Medicine, Hempstead, NY, USA; The Feinstein Institute for Medical Research, Manhasset, NY, USA; Charité Universitätsmedizin, Department of Child and Adolescent Psychiatry, Berlin, Germany.
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19
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Hafeman DM, Chase HW, Monk K, Bonar L, Hickey MB, McCaffrey A, Graur S, Manelis A, Ladouceur CD, Merranko J, Axelson DA, Goldstein BI, Goldstein TR, Birmaher B, Phillips ML. Intrinsic functional connectivity correlates of person-level risk for bipolar disorder in offspring of affected parents. Neuropsychopharmacology 2019; 44:629-634. [PMID: 30410014 PMCID: PMC6333834 DOI: 10.1038/s41386-018-0264-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2018] [Revised: 10/05/2018] [Accepted: 10/28/2018] [Indexed: 12/31/2022]
Abstract
Offspring of parents with bipolar disorder (OBP) are at increased risk to develop bipolar disorder (BD). Alterations in resting-state functional connectivity (rsFC) have been identified in OBP; however, replication has been limited and correlation with person-level risk is unknown. A recent study found reduced rsFC between left inferior frontal gyrus (IFG) and clusters in the left insula (LINS), lentiform nucleus (LENT), and midcingulate cortex (MCING) in OBP (Roberts et al. 2017); here, we aim to extend these findings to at-risk youth. We scanned a subset of the Pittsburgh Bipolar Offspring Study, a longitudinal study of OBP and community controls. Twenty-four OBP, 20 offspring of control parents with non-bipolar psychopathology (OCP), and 27 healthy controls (HC) had acceptable rsFC data. After preprocessing steps, we assessed group differences in seed-based rsFC between the IFG and target clusters (LINS, LENT, MCING) using multivariate regression. Next, we tested whether rsFC correlated with person-level risk score and with other dimensional measures. We did not find group differences in rsFC between IFG and target regions. Within OBP, risk score negatively correlated with IFG-LINS rsFC (p = 0.002). Across groups, mood lability correlated negatively with rsFC between IFG and target regions (p = 0.0002), due to negative correlation with IFG-LINS (p = 0.0003) and IFG-MCING (p = 0.001) rsFC. While group-level differences were not replicated, IFG-LINS rsFC was negatively correlated with a person-level risk score in OBP and with mood lability (a predictor of BD) across the sample. Thus, IFG-LINS rsFC might constitute a risk marker, within OBP, for the development of BD.
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Affiliation(s)
- Danella M. Hafeman
- 0000 0004 1936 9000grid.21925.3dUniversity of Pittsburgh, 3811O Hara St, Pittsburgh, PA 15213 USA
| | - Henry W. Chase
- 0000 0004 1936 9000grid.21925.3dUniversity of Pittsburgh, 3811O Hara St, Pittsburgh, PA 15213 USA
| | - Kelly Monk
- 0000 0004 1936 9000grid.21925.3dUniversity of Pittsburgh, 3811O Hara St, Pittsburgh, PA 15213 USA
| | - Lisa Bonar
- 0000 0004 1936 9000grid.21925.3dUniversity of Pittsburgh, 3811O Hara St, Pittsburgh, PA 15213 USA
| | - Mary Beth Hickey
- 0000 0004 1936 9000grid.21925.3dUniversity of Pittsburgh, 3811O Hara St, Pittsburgh, PA 15213 USA
| | - Alicia McCaffrey
- 0000 0004 1936 9000grid.21925.3dUniversity of Pittsburgh, 3811O Hara St, Pittsburgh, PA 15213 USA
| | - Simona Graur
- 0000 0004 1936 9000grid.21925.3dUniversity of Pittsburgh, 3811O Hara St, Pittsburgh, PA 15213 USA
| | - Anna Manelis
- 0000 0004 1936 9000grid.21925.3dUniversity of Pittsburgh, 3811O Hara St, Pittsburgh, PA 15213 USA
| | - Cecile D. Ladouceur
- 0000 0004 1936 9000grid.21925.3dUniversity of Pittsburgh, 3811O Hara St, Pittsburgh, PA 15213 USA
| | - John Merranko
- 0000 0004 1936 9000grid.21925.3dUniversity of Pittsburgh, 3811O Hara St, Pittsburgh, PA 15213 USA
| | - David A. Axelson
- 0000 0004 0392 3476grid.240344.5Nationwide Children’s Hospital and The Ohio State University, Columbus, OH USA
| | - Benjamin I. Goldstein
- 0000 0001 2157 2938grid.17063.33Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada
| | - Tina R. Goldstein
- 0000 0004 1936 9000grid.21925.3dUniversity of Pittsburgh, 3811O Hara St, Pittsburgh, PA 15213 USA
| | - Boris Birmaher
- 0000 0004 1936 9000grid.21925.3dUniversity of Pittsburgh, 3811O Hara St, Pittsburgh, PA 15213 USA
| | - Mary L. Phillips
- 0000 0004 1936 9000grid.21925.3dUniversity of Pittsburgh, 3811O Hara St, Pittsburgh, PA 15213 USA
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20
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Acuff HE, Versace A, Bertocci MA, Hanford LC, Ladouceur CD, Manelis A, Monk K, Bonar L, McCaffrey A, Goldstein BI, Goldstein TR, Sakolsky D, Axelson D, Birmaher B, Phillips ML. White matter - emotion processing activity relationships in youth offspring of bipolar parents. J Affect Disord 2019; 243:153-164. [PMID: 30243195 PMCID: PMC6476540 DOI: 10.1016/j.jad.2018.09.010] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2018] [Revised: 07/31/2018] [Accepted: 09/09/2018] [Indexed: 01/10/2023]
Abstract
BACKGROUND Early detection of Bipolar Disorder (BD) is critical for targeting interventions to delay or prevent illness onset. Yet, the absence of objective BD biomarkers makes accurately identifying at-risk youth difficult. In this study, we examined how relationships between white matter tract (WMT) structure and activity in emotion processing neural circuitry differentiate youth at risk for BD from youth at risk for other psychiatric disorders. METHODS Offspring (ages 8-17) of parents with BD (OBP, n = 32), offspring of comparison parents with non-BD psychopathology (OCP, n = 30), and offspring of healthy parents (OHP, n = 24) underwent diffusion tensor and functional magnetic resonance imaging while performing an emotional face processing task. Penalized and multiple regression analyses included GROUP(OBP,OCP)xWMT interactions as main independent variables, and emotion processing activity as dependent variables, to determine significant group differences in WMT-activity relationships. RESULTS 8 GROUPxWMT interaction variables contributed to 16.5% of the variance in amygdala and prefrontal cortical activity to happy faces. Of these, significant group differences in slopes (inverse for OBP, positive for OCP) existed for the relationship between forceps minor radial diffusivity and rostral anterior cingulate activity (p = 0.014). Slopes remained significantly different in unmedicated youth without psychiatric disorders (p = 0.017) and were moderated by affective lability symptoms (F(1,29) = 5.566, p = 0.036). LIMITATIONS Relatively small sample sizes were included. CONCLUSIONS Forceps minor radial diffusivity-rostral anterior cingulate activity relationships may reflect underlying neuropathological processes that contribute to affectively labile youth at risk for BD and may help differentiate them from youth at risk for other psychiatric disorders.
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Affiliation(s)
- Heather E. Acuff
- Departments of Neuroscience, Psychology, and Psychiatry, Center for Neuroscience, University of Pittsburgh, Pittsburgh, PA, USA,Medical Scientist Training Program, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Amelia Versace
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | | | | | | | - Anna Manelis
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Kelly Monk
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Lisa Bonar
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Alicia McCaffrey
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | | | - Tina R. Goldstein
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Dara Sakolsky
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - David Axelson
- Department of Psychiatry, Nationwide Children’s Hospital and The Ohio State College of Medicine, Columbus, OH, USA
| | | | - Boris Birmaher
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Mary L. Phillips
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
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21
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Black SR, Fristad MA, Arnold LE, Birmaher B, Findling RL, Youngstrom EA, Horwitz SM. Factors Influencing Emerging Adults' Use of Outpatient Mental Health Services. EVIDENCE-BASED PRACTICE IN CHILD AND ADOLESCENT MENTAL HEALTH 2019; 4:113-121. [PMID: 35360447 DOI: 10.1080/23794925.2018.1501328] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Abstract
Rates of treatment utilization decline as adolescents make the transition to adulthood even though young adults are particularly vulnerable to the negative outcomes of untreated mental illness. Although a variety of factors have been explored to explain decreased treatment utilization in this age group, previous research has almost exclusively employed cross-sectional methods rather than following a group of youth as they enter adulthood. The current study aims to address this methodological limitation by assessing treatment utilization in emerging adults who began participating in a longitudinal study during childhood. One hundred and thirty seven youth who turned 18 during the 96-month follow-up period were included in the current analyses. Demographic and socioeconomic variables such as sex, race, and insurance status and clinical variables such as psychiatric diagnoses and perceptions of treatment effectiveness were investigated as factors potentially associated with outpatient treatment use before and after age 18. Prior to age 18, youth reported using outpatient services at 75% of their visits, but after age 18, outpatient treatment utilization dropped to around 50%. White race, increased parental stress, and increased parental perception of treatment usefulness were associated with greater treatment use prior to age 18, whereas only increased youth perception of symptom-related dysfunction were associated with increased treatment use after age 18. Findings point to the importance of including youth preferences and perceptions of dysfunction in treatment decisions across adolescence in order to optimize treatment use following the transition to adulthood.
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Affiliation(s)
- Sarah R Black
- Department of Psychiatry and Behavioral Health, The Ohio State University Wexner Medical Center, Columbus, OH, USA
| | - Mary A Fristad
- Department of Psychiatry and Behavioral Health, The Ohio State University Wexner Medical Center, Columbus, OH, USA.,Departments of Psychology and Nutrition, The Ohio State University, Columbus, OH, USA
| | - L Eugene Arnold
- Department of Psychiatry and Behavioral Health, The Ohio State University Wexner Medical Center, Columbus, OH, USA
| | - Boris Birmaher
- Department of Psychiatry, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Robert L Findling
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Eric A Youngstrom
- Departments of Psychology and Neuroscience and Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Sarah M Horwitz
- Department of Child and Adolescent Psychiatry, New York University School of Medicine, New York, NY, USA
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22
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Acuff HE, Versace A, Bertocci MA, Ladouceur CD, Hanford LC, Manelis A, Monk K, Bonar L, McCaffrey A, Goldstein BI, Goldstein TR, Sakolsky D, Axelson D, Birmaher B, Phillips ML. Association of Neuroimaging Measures of Emotion Processing and Regulation Neural Circuitries With Symptoms of Bipolar Disorder in Offspring at Risk for Bipolar Disorder. JAMA Psychiatry 2018; 75:1241-1251. [PMID: 30193355 PMCID: PMC6528787 DOI: 10.1001/jamapsychiatry.2018.2318] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
IMPORTANCE Bipolar disorder (BD) is difficult to distinguish from other psychiatric disorders. Neuroimaging studies can identify objective markers of BD risk. OBJECTIVE To identify neuroimaging measures in emotion processing and regulation neural circuitries and their associations with symptoms specific to youth at risk for BD. DESIGN, SETTING, AND PARTICIPANTS This cross-sectional (August 1, 2011, to July 31, 2017) and longitudinal (February 1, 2013, to November 30, 2017) neuroimaging study performed at the University of Pittsburgh Medical Center compared a sample of 31 offspring of parents with BD (OBP) with 28 offspring of comparison parents with non-BD psychopathologies (OCP) and 21 offspring of healthy parents (OHP); OBP, OCP, and OHP were recruited from the Bipolar Offspring Study and the Longitudinal Assessment of Manic Symptoms Study. MAIN OUTCOMES AND MEASURES Group differences in activity and functional connectivity during emotional face processing and n-back task performance in amygdala, dorsolateral and ventrolateral prefrontal cortices (PFC), caudal anterior cingulate cortices (cACC), and rostral anterior cingulate cortices (rACC) neuroimaging measures showing between-group differences and symptom severity (anxiety, affective lability, depression, mania). We hypothesized that elevated amygdala activity and/or lower PFC activity and abnormal amygdala to PFC functional connectivity would distinguish OBP from OCP and OHP, and magnitudes of these abnormalities would positively correlate with elevated symptom severity. We explored associations between changes in neuroimaging and symptom measures over follow-up (mean [SD], 2.9 [1.4] years) in a subset of participants (n = 30). RESULTS Eighty participants were included (mean [SD] age, 14.2 (2.1) years; 35 female). Twelve neuroimaging measures explained 51% of the variance in the results of neuroimaging measures overall. Of the 12, 9 showed significant main associations of the group; however, after post hoc analyses and Bonferroni corrections, only 7 showed statistically significant associations between groups (corrected P < .05 for all). Of the 7, 2 showed significant relationships with symptoms. Offspring of parents with BD had greater right rACC activity when regulating attention to happy faces vs OCP (mean [SD] difference, 0.744 [0.249]; 95% CI, 0.134-1.354; P = .01), which positively correlated with affective lability severity (ρ = 0.304; uncorrected P = .006). Offspring of parents with BD had greater amygdala to left cACC functional connectivity when regulating attention to fearful faces vs OCP (mean [SD] difference, 0.493 [0.169]; 95% CI, 0.079-0.908; P = .01). Increases in this measure positively correlated with increases in affective lability over follow-up (r = 0.541; P = .003). CONCLUSIONS AND RELEVANCE Greater anterior cingulate cortex activity and functional connectivity during emotion regulation tasks may be specific markers of BD risk. These findings highlight potential neural targets to aid earlier identification of and guide new treatment developments for BD.
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Affiliation(s)
- Heather E. Acuff
- Departments of Neuroscience, Psychology, and Psychiatry, Center for Neuroscience, University of Pittsburgh, Pittsburgh, PA, USA,Medical Scientist Training Program, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Amelia Versace
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | | | | | | | - Anna Manelis
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Kelly Monk
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Lisa Bonar
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Alicia McCaffrey
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | | | - Tina R. Goldstein
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Dara Sakolsky
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - David Axelson
- Department of Psychiatry, Nationwide Children’s Hospital and The Ohio State College of Medicine, Columbus, Ohio, USA
| | - Boris Birmaher
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
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23
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Black SR, Seager I, Meers MR, Arnold LE, Birmaher B, Findling RL, Horwitz SM, Youngstrom EA, Fristad MA. Associations between Parental Psychopathology and Sexual Behavior in an Outpatient Psychiatric Sample. JOURNAL OF CLINICAL CHILD AND ADOLESCENT PSYCHOLOGY 2018; 49:50-59. [PMID: 30376641 DOI: 10.1080/15374416.2018.1514614] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Abstract
Early age of sexual debut is associated with an increase in negative outcomes, including higher incidence of nonconsensual sexual experiences, higher rates of sexually transmitted infections, and risky sexual practices. Little research has examined the role of parental psychopathology as a predictor of adolescent sexual activity, however. The current study aims to close this gap by examining the relationship between parental psychopathology and sexual activity in a longitudinal sample of youth. Participants were 685 adolescents from the Longitudinal Assessment of Manic Symptoms study, the majority of whom were male (67%) and White (65%). Analyses considering likelihood of sexual initiation included the full sample, whereas analyses considering predictors of the age of sexual debut included the 162 participants who reported ever having sexual intercourse (62% male, 51% White) via the Youth Risk Behavior Surveillance-High School version. Cox regression analyses suggested that maternal generalized anxiety disorder predicted decreased likelihood of initiating sex during the 8-year follow-up period, whereas paternal conduct disorder predicted increased likelihood of initiating sex. Multivariate linear regressions also showed that maternal conduct disorder predicted earlier age of sexual debut among those who had initiated, whereas paternal antisocial personality disorder predicted later age of sexual debut. These associations were observed in both male and female adolescents. Furthermore, these effects were largely not explained by the established relationship between youth psychopathology and sexual behavior. Results have implications for interventions aimed at decreasing sexual risk taking in vulnerable youth.
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Affiliation(s)
- Sarah R Black
- Department of Psychiatry and Behavioral Health, The Ohio State University Wexner Medical Center
| | - Ilana Seager
- Department of Psychology, The Ohio State University
| | - Molly R Meers
- Department of Psychology, Nationwide Children's Hospital
| | - L Eugene Arnold
- Department of Psychiatry and Behavioral Health, The Ohio State University Wexner Medical Center
| | - Boris Birmaher
- Department of Psychiatry, University of Pittsburgh Medical Center
| | - Robert L Findling
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University
| | - Sarah M Horwitz
- Department of Child and Adolescent Psychiatry, New York University School of Medicine
| | - Eric A Youngstrom
- Departments of Psychology and Neuroscience and Psychiatry, University of North Carolina at Chapel Hill
| | - Mary A Fristad
- Department of Psychiatry and Behavioral Health, The Ohio State University Wexner Medical Center.,Department of Psychology, The Ohio State University.,Department of Nutrition, The Ohio State University
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24
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Youngstrom EA, Van Meter A, Frazier TW, Youngstrom JK, Findling RL. Developing and Validating Short Forms of the Parent General Behavior Inventory Mania and Depression Scales for Rating Youth Mood Symptoms. JOURNAL OF CLINICAL CHILD AND ADOLESCENT PSYCHOLOGY 2018; 49:162-177. [DOI: 10.1080/15374416.2018.1491006] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Affiliation(s)
- Eric A. Youngstrom
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill
| | - Anna Van Meter
- Department of Psychiatry Research, Zucker Hillside Hospital
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25
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Rizvi SH, Salcedo S, Youngstrom EA, Freeman LK, Gadow KD, Fristad MA, Birmaher B, Kowatch RA, Horwitz SM, Frazier TW, Arnold LE, Taylor HG, Findling RL. Diagnostic Accuracy of the CASI-4R Psychosis Subscale for Children Evaluated in Pediatric Outpatient Clinics. JOURNAL OF CLINICAL CHILD AND ADOLESCENT PSYCHOLOGY 2018; 48:610-621. [PMID: 29373050 DOI: 10.1080/15374416.2017.1410824] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
Diagnostic accuracy of the Diagnostic and Statistical Manual of Mental Disorders-oriented Child and Adolescent Symptom Inventory (CASI-4R) Psychotic Symptoms scale was tested using receiver operating characteristic analyses to identify clinically significant psychotic symptoms. Participants were new outpatients (N = 700), ages 6.0 to 12.9 years (M = 9.7, SD = 1.8) at 9 child outpatient mental health clinics, who participated in the Longitudinal Assessment of Manic Symptoms (LAMS) Study baseline assessment. Because LAMS undersampled participants with low mania scores by design, present analyses weighted low scorers to produce unbiased estimates. Psychotic symptoms, operationally defined as a score of 3 or more for hallucinations or 4 or more for delusions based on the Schedule for Affective Disorders and Schizophrenia (K-SADS) psychosis items, occurred in 7% of youth. K-SADS diagnoses for those identified with psychotic symptoms above threshold included major depressive disorder, bipolar spectrum disorder, attention deficit/hyperactivity disorder, posttraumatic stress disorder, psychotic disorders, and autism spectrum disorder. The optimal psychosis screening cut score (maximizing sensitivity and specificity) was 2.75+ (corresponding diagnostic likelihood ratio [DiLR] = 4.29) for the parent version and 3.50+ (DiLR = 5.67) for the teacher version. The Area under the Curve for parent and teacher report was .83 and .74 (both p < .001). Parent report performed significantly better than teacher report for identifying psychotic symptoms above threshold (p = .03). The CASI-4R Psychosis subscale (J) appears clinically useful for identifying psychotic symptoms in children because of its brevity and accuracy.
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Affiliation(s)
- Sabeen H Rizvi
- b Department of Psychology , Gargi College, Delhi University
| | - Stephanie Salcedo
- a Department of Psychology and Neuroscience , University of North Carolina at Chapel Hill
| | - Eric A Youngstrom
- a Department of Psychology and Neuroscience , University of North Carolina at Chapel Hill
| | | | | | | | - Boris Birmaher
- e Department of Psychiatry , University of Pittsburgh School of Medicine
| | | | - Sarah M Horwitz
- g Department of Child and Adolescent Psychiatry, New York University Langone Medical Center
| | | | | | - H Gerry Taylor
- j Department of Pediatrics , Case Western Reserve University School of Medicine.,k Rainbow Babies & Children's Hospital, University Hospitals Cleveland Medical Center
| | - Robert L Findling
- l Department of Psychiatry and Behavioral Sciences, Johns Hopkins University and Kennedy Krieger Institute
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Sagar-Ouriaghli I, Milavic G, Barton R, Heaney N, Fiori F, Lievesley K, Singh J, Santosh P. Comparing the DSM-5 construct of Disruptive Mood Dysregulation Disorder and ICD-10 Mixed Disorder of Emotion and Conduct in the UK Longitudinal Assessment of Manic Symptoms (UK-LAMS) Study. Eur Child Adolesc Psychiatry 2018; 27:1095-1104. [PMID: 29730721 PMCID: PMC6133106 DOI: 10.1007/s00787-018-1149-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2017] [Accepted: 03/27/2018] [Indexed: 12/15/2022]
Abstract
It is important to understand new diagnostic entities in classifications of psychopathology such as the Diagnostic and Statistical Manual of Mental Disorders-5 (DSM-5) (code F34.8) construct of Disruptive Mood Dysregulation Disorder (DMDD) and to compare it with possible equivalent disorders in other classificatory systems such as the International Classification of Diseases-10 (ICD-10), which has a category that superficially appears similar, that is, Mixed Disorder of Emotion and Conduct (MDEC) (code F92). In this study, the United Kingdom (UK) arm (UK-LAMS) of the US National Institute of Mental Health (NIMH) supported Longitudinal Assessment of Manic Symptoms (LAMS) multi-site study was used to evaluate and retrospectively construct DMDD and MDEC diagnoses in order to compare them and understand the conditions they co-occur with, in order to improve the clinical understanding. In particular, the phenomenology of UK-LAMS participants (n = 117) was used to determine whether DMDD is a unique entity within the DSM-5. The findings showed that 24 of 68 participants with either DMDD or MDEC (35.3%) fulfilled both diagnostic criteria for DMDD and MDEC, suggesting that these entities do contain overlapping features, particularly symptoms relating to Oppositional Defiant Disorder (ODD)/Conduct Disorder (CD), Attention Deficit Hyperactivity Disorder (ADHD)/Hyperkinetic Disorder (HKD) and/or an anxiety disorder. The data also showed that most of the participants who met DMDD criteria also fulfilled the diagnostic criteria for ODD/CD, ADHD, followed by an anxiety disorder. In this context, this raises the issue whether DMDD is a unique construct or whether the symptomology for DMDD can be better explained as a specifier for ODD/CD and ADHD. Unlike DMDD, MDEC clearly specifies that the label should only be used if emotional and conduct disorders co-exist.
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Affiliation(s)
- I. Sagar-Ouriaghli
- Department of Child and Adolescent Psychiatry, King’s College London, London, UK
| | - G. Milavic
- South London and Maudsley NHS Foundation Trust, London, UK
| | - R. Barton
- South London and Maudsley NHS Foundation Trust, London, UK
| | - N. Heaney
- Department of Child and Adolescent Psychiatry, King’s College London, London, UK
| | - F. Fiori
- Department of Child and Adolescent Psychiatry, King’s College London, London, UK ,Centre for Interventional Paediatric Psychopharmacology and Rare Diseases (CIPPRD) Research Team, South London and Maudsley NHS Foundation Trust, 4 Windsor Walk, Denmark Hill, London, SE5 8BB UK
| | - K. Lievesley
- Department of Child and Adolescent Psychiatry, King’s College London, London, UK
| | - J. Singh
- Department of Child and Adolescent Psychiatry, King’s College London, London, UK
| | - Paramala Santosh
- Department of Child and Adolescent Psychiatry, King's College London, London, UK. .,Centre for Interventional Paediatric Psychopharmacology and Rare Diseases (CIPPRD) Research Team, South London and Maudsley NHS Foundation Trust, 4 Windsor Walk, Denmark Hill, London, SE5 8BB, UK.
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Goetz M, Sebela A, Mohaplova M, Ceresnakova S, Ptacek R, Novak T. Psychiatric Disorders and Quality of Life in the Offspring of Parents with Bipolar Disorder. J Child Adolesc Psychopharmacol 2017; 27:483-493. [PMID: 28581338 DOI: 10.1089/cap.2016.0056] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
OBJECTIVE To determine current and lifetime psychopathology and assess quality of life (QoL) in offspring of a parent with bipolar disorder (BD). METHODS We investigated 43 offspring of bipolar parents (high-risk offspring [HRO]) (mean age 12.5 ± 3.1; range 6.7-17.9 years) and 43 comparison offspring matched for sex, age, and IQ of healthy parents. Lifetime and current presence of Diagnostic and Statistical Manual of Mental Disorders, 5th ed. (DSM-5) diagnoses were assessed using Kiddie-Schedule for Affective Disorders and Schizophrenia-Present and Lifetime Version (K-SADS-PL). We administered parent and self-report versions of General Behavior Inventory and the Screen for Child Anxiety-Related Emotional Disorders (SCARED). QoL was evaluated using the self-report questionnaire KIDSCREN-52. RESULTS Thirty-seven HRO (86%) and 18 controls (42%) met DSM-5 criteria for at least one lifetime psychiatric diagnosis (adjusted OR = 7.20; 95% CI 2.27-22.81). Compared to controls, HRO had higher lifetime frequency of any mood disorder (33% vs. 2%, p < 0.001), anxiety disorder (60% vs. 14%, p < 0.001), and attention-deficit/hyperactivity disorder (26% vs. 5%, p = 0.01). After adjustment for confounders, only mood (OR = 13.05; 95% CI 1.41-120.60) and anxiety (OR = 9.69; 95% CI 2.75-34.31) disorders remained significantly more frequent in the HRO group. In comparison with controls, HRO scored lower in the following domains: QoL, social support and relationship with peers (p = 0.003; Cohen's d = 0.91), parent relationships and home life (p = 0.008; d = 0.67), as well as self-perception (p = 0.04; d = 0.55). CONCLUSIONS In agreement with other studies, we found a higher rate of lifetime anxiety and mood disorders in children and adolescents at confirmed familial risk for BD. Reduction in QoL was already evident across a number of domains. Adult psychiatrists should incorporate into their assessment procedures targeted questions on the presence of psychopathology in offspring of their adult patients with severe mental disorders and child services should bridge with adult services providing accessible services to children of affected parents.
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Affiliation(s)
- Michal Goetz
- 1 Department of Paediatric Psychiatry, Motol University Hospital , Prague, Czech Republic .,2 Second Faculty of Medicine, Charles University in Prague , Prague, Czech Republic
| | - Antonin Sebela
- 3 Clinical Center, National Institute of Mental Health , Klecany, Czech Republic .,4 First Faculty of Medicine, Charles University in Prague , Prague, Czech Republic
| | - Marketa Mohaplova
- 4 First Faculty of Medicine, Charles University in Prague , Prague, Czech Republic .,5 Department of Psychology, Motol University Hospital , Prague, Czech Republic
| | - Silvie Ceresnakova
- 3 Clinical Center, National Institute of Mental Health , Klecany, Czech Republic .,4 First Faculty of Medicine, Charles University in Prague , Prague, Czech Republic
| | - Radek Ptacek
- 6 Department of Psychiatry, General Teaching Hospital , Prague, Czech Republic
| | - Tomas Novak
- 3 Clinical Center, National Institute of Mental Health , Klecany, Czech Republic .,7 Third Faculty of Medicine, Charles University in Prague , Prague, Czech Republic
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Using machine learning and surface reconstruction to accurately differentiate different trajectories of mood and energy dysregulation in youth. PLoS One 2017; 12:e0180221. [PMID: 28683115 PMCID: PMC5500381 DOI: 10.1371/journal.pone.0180221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2017] [Accepted: 06/12/2017] [Indexed: 11/19/2022] Open
Abstract
Difficulty regulating positive mood and energy is a feature that cuts across different pediatric psychiatric disorders. Yet, little is known regarding the neural mechanisms underlying different developmental trajectories of positive mood and energy regulation in youth. Recent studies indicate that machine learning techniques can help elucidate the role of neuroimaging measures in classifying individual subjects by specific symptom trajectory. Cortical thickness measures were extracted in sixty-eight anatomical regions covering the entire brain in 115 participants from the Longitudinal Assessment of Manic Symptoms (LAMS) study and 31 healthy comparison youth (12.5 y/o;-Male/Female = 15/16;-IQ = 104;-Right/Left handedness = 24/5). Using a combination of trajectories analyses, surface reconstruction, and machine learning techniques, the present study aims to identify the extent to which measures of cortical thickness can accurately distinguish youth with higher (n = 18) from those with lower (n = 34) trajectories of manic-like behaviors in a large sample of LAMS youth (n = 115; 13.6 y/o; M/F = 68/47, IQ = 100.1, R/L = 108/7). Machine learning analyses revealed that widespread cortical thickening in portions of the left dorsolateral prefrontal cortex, right inferior and middle temporal gyrus, bilateral precuneus, and bilateral paracentral gyri and cortical thinning in portions of the right dorsolateral prefrontal cortex, left ventrolateral prefrontal cortex, and right parahippocampal gyrus accurately differentiate (Area Under Curve = 0.89;p = 0.03) youth with different (higher vs lower) trajectories of positive mood and energy dysregulation over a period up to 5years, as measured by the Parent General Behavior Inventory-10 Item Mania Scale. Our findings suggest that specific patterns of cortical thickness may reflect transdiagnostic neural mechanisms associated with different temporal trajectories of positive mood and energy dysregulation in youth. This approach has potential to identify patterns of neural markers of future clinical course.
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29
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Horowitz-Kraus T, Holland SK, Versace AL, Bertocci MA, Bebko G, Almeida JRC, Perlman SB, Travis MJ, Gill MK, Bonar L, Schirda C, Sunshine JL, Birmaher B, Taylor G, Diwadkar VA, Horwitz SM, Axelson D, Frazier T, Arnold EL, Fristad MA, Youngstrom EA, Findling RL, Phillips ML. Reading related white matter structures in adolescents are influenced more by dysregulation of emotion than behavior. Neuroimage Clin 2017; 15:732-740. [PMID: 28702350 PMCID: PMC5491458 DOI: 10.1016/j.nicl.2017.06.020] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2016] [Revised: 05/18/2017] [Accepted: 06/16/2017] [Indexed: 11/21/2022]
Abstract
Mood disorders and behavioral are broad psychiatric diagnostic categories that have different symptoms and neurobiological mechanisms, but share some neurocognitive similarities, one of which is an elevated risk for reading deficit. Our aim was to determine the influence of mood versus behavioral dysregulation on reading ability and neural correlates supporting these skills in youth, using diffusion tensor imaging in 11- to 17-year-old children and youths with mood disorders or behavioral disorders and age-matched healthy controls. The three groups differed only in phonological processing and passage comprehension. Youth with mood disorders scored higher on the phonological test but had lower comprehension scores than children with behavioral disorders and controls; control participants scored the highest. Correlations between fractional anisotropy and phonological processing in the left Arcuate Fasciculus showed a significant difference between groups and were strongest in behavioral disorders, intermediate in mood disorders, and lowest in controls. Correlations between these measures in the left Inferior Longitudinal Fasciculus were significantly greater than in controls for mood but not for behavioral disorders. Youth with mood disorders share a deficit in the executive-limbic pathway (Arcuate Fasciculus) with behavioral-disordered youth, suggesting reduced capacity for engaging frontal regions for phonological processing or passage comprehension tasks and increased reliance on the ventral tract (e.g., the Inferior Longitudinal Fasciculus). The low passage comprehension scores in mood disorder may result from engaging the left hemisphere. Neural pathways for reading differ mainly in executive-limbic circuitry. This new insight may aid clinicians in providing appropriate intervention for each disorder.
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Affiliation(s)
- Tzipi Horowitz-Kraus
- Cincinnati Children's Hospital Medical Center, University of Cincinnati, United States; Educational Neuroimaging Center, Faculty of Education in Science and Technology, Technion, Haifa, Israel.
| | - Scott K Holland
- Cincinnati Children's Hospital Medical Center, University of Cincinnati, United States
| | - Amelia L Versace
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, United States
| | - Michele A Bertocci
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, United States
| | - Genna Bebko
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, United States
| | - Jorge R C Almeida
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, United States
| | - Susan B Perlman
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, United States
| | - Michael J Travis
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, United States
| | - Mary Kay Gill
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, United States
| | - Lisa Bonar
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, United States
| | - Claudiu Schirda
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, United States
| | - Jeffrey L Sunshine
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, United States
| | - Boris Birmaher
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, United States
| | - Gerry Taylor
- University Hospitals Case Medical Center, Case Western Reserve University, United States
| | - Vaibhav A Diwadkar
- Department of Psychiatry and Behavioral Neuroscience, Wayne State University, United States
| | - Sarah M Horwitz
- Department of Child Psychiatry, New York University School of Medicine, United States
| | - David Axelson
- Department of Psychiatry and Behavioral Health, Wexner Medical Center, Ohio State University, United States
| | - Thomas Frazier
- Department of Psychiatry and Behavioral Health, Wexner Medical Center, Ohio State University, United States
| | - Eugene L Arnold
- Department of Psychiatry and Behavioral Health, Wexner Medical Center, Ohio State University, United States
| | - Mary A Fristad
- Department of Psychiatry and Behavioral Health, Wexner Medical Center, Ohio State University, United States
| | - Eric A Youngstrom
- Department of Psychology, University of North Carolina at Chapel Hill, United States
| | - Robert L Findling
- University Hospitals Case Medical Center, Case Western Reserve University, United States; Department of Psychiatry, Johns Hopkins University, United States
| | - Mary L Phillips
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, United States
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30
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Van Meter AR, Youngstrom EA, Birmaher B, Fristad MA, Horwitz SM, Frazier TW, Arnold LE, Findling RL. Longitudinal course and characteristics of cyclothymic disorder in youth. J Affect Disord 2017; 215:314-322. [PMID: 28365522 PMCID: PMC5512510 DOI: 10.1016/j.jad.2017.03.019] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2017] [Accepted: 03/06/2017] [Indexed: 10/20/2022]
Abstract
OBJECTIVES Epidemiological studies suggest that cyclothymic disorder is the most prevalent subtype of bipolar disorder (BD). However, it is rarely diagnosed, especially in youth. This may be because it can be difficult to ascertain whether a youth meets diagnostic criteria. Clearer, easy-to-apply criteria could reduce misdiagnosis. The objective oftable this study was to determine whether proposed research diagnostic criteria for cyclothymic disorder (RDCyc), based on DSM-5 criteria, could be quantified and validated in youth. METHODS Participants from the Longitudinal Assessment of Manic Symptoms (LAMS) study were recruited based on symptoms of mania and followed prospectively. RDCyc criteria were: 1) At least one core symptom each of mania and depression; 2) one additional symptom of mania and of depression; 3) persistence over two consecutive six-month periods, and 4) impairment. Exclusionary criteria were having a [hypo]manic or depressive episode. Outcomes at the two-year follow-up were compared between RDCyc youth and other diagnostic groups (BD I/II, BD NOS/non-RDCyc cyclothymic disorder, disruptive behavior disorders [DBD], depression). RESULTS Thirty-seven youth met RDCyc criteria. There were no consistent differences between the RDCyc youth and youth with other BD subtypes (ps=0.001-0.960, with all-but-one p value >0.02). RDCyc youth had higher depression (p<0.0005) and mania scores (p=0.001), lower functioning (p=0.012), and higher suicide risk than DBD youth (p=0.001). They had higher mania scores than depressed youth (p.018). LIMITATIONS The majority of youth in the sample were recruited due to elevated symptoms of mania, which may limit the generalizability of the results. Youth were followed for two years, which may not be long enough to determine whether or not they will eventually develop a manic or depressive episode. CONCLUSIONS Applying RDCyc criteria identified youth who were similar to others with BD and were more impaired than those with DBD. Using these criteria could reduce misdiagnosis and increase our understanding of this prevalent, but largely ignored, diagnosis.
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Affiliation(s)
- Anna R. Van Meter
- Yeshiva University,Corresponding author. 1165 Morris Park Avenue, Bronx, NY 10461. 646.592.4370.
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31
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Bertocci MA, Bebko G, Versace A, Iyengar S, Bonar L, Forbes EE, Almeida JRC, Perlman SB, Schirda C, Travis MJ, Gill MK, Diwadkar VA, Sunshine JL, Holland SK, Kowatch RA, Birmaher B, Axelson DA, Frazier TW, Arnold LE, Fristad MA, Youngstrom EA, Horwitz SM, Findling RL, Phillips ML. Reward-related neural activity and structure predict future substance use in dysregulated youth. Psychol Med 2017; 47:1357-1369. [PMID: 27998326 PMCID: PMC5576722 DOI: 10.1017/s0033291716003147] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
BACKGROUND Identifying youth who may engage in future substance use could facilitate early identification of substance use disorder vulnerability. We aimed to identify biomarkers that predicted future substance use in psychiatrically un-well youth. METHOD LASSO regression for variable selection was used to predict substance use 24.3 months after neuroimaging assessment in 73 behaviorally and emotionally dysregulated youth aged 13.9 (s.d. = 2.0) years, 30 female, from three clinical sites in the Longitudinal Assessment of Manic Symptoms (LAMS) study. Predictor variables included neural activity during a reward task, cortical thickness, and clinical and demographic variables. RESULTS Future substance use was associated with higher left middle prefrontal cortex activity, lower left ventral anterior insula activity, thicker caudal anterior cingulate cortex, higher depression and lower mania scores, not using antipsychotic medication, more parental stress, older age. This combination of variables explained 60.4% of the variance in future substance use, and accurately classified 83.6%. CONCLUSIONS These variables explained a large proportion of the variance, were useful classifiers of future substance use, and showed the value of combining multiple domains to provide a comprehensive understanding of substance use development. This may be a step toward identifying neural measures that can identify future substance use disorder risk, and act as targets for therapeutic interventions.
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Affiliation(s)
- M A Bertocci
- Department of Psychiatry,Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh,Pittsburgh, PA,USA
| | - G Bebko
- Department of Psychiatry,Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh,Pittsburgh, PA,USA
| | - A Versace
- Department of Psychiatry,Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh,Pittsburgh, PA,USA
| | - S Iyengar
- Department of Statistics,University of Pittsburgh,Pittsburgh, PA,USA
| | - L Bonar
- Department of Psychiatry,Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh,Pittsburgh, PA,USA
| | - E E Forbes
- Department of Psychiatry,Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh,Pittsburgh, PA,USA
| | - J R C Almeida
- Department of Psychiatry,Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh,Pittsburgh, PA,USA
| | - S B Perlman
- Department of Psychiatry,Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh,Pittsburgh, PA,USA
| | - C Schirda
- Department of Psychiatry,Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh,Pittsburgh, PA,USA
| | - M J Travis
- Department of Psychiatry,Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh,Pittsburgh, PA,USA
| | - M K Gill
- Department of Psychiatry,Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh,Pittsburgh, PA,USA
| | - V A Diwadkar
- Department of Psychiatry and Behavioral Neuroscience,Wayne State University,Detroit, MI,USA
| | - J L Sunshine
- Department of Radiology,University Hospitals Case Medical Center/Case Western Reserve University,Cleveland, OH,USA
| | - S K Holland
- Cincinnati Children's Hospital Medical Center, University of Cincinnati,Cincinnati, OH,USA
| | - R A Kowatch
- Department of Psychiatry and Behavioral Health,Ohio State University,Columbus, OH,USA
| | - B Birmaher
- Department of Psychiatry,Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh,Pittsburgh, PA,USA
| | - D A Axelson
- Department of Psychiatry and Behavioral Health,Ohio State University,Columbus, OH,USA
| | - T W Frazier
- Pediatric Institute,Cleveland Clinic,Cleveland, OH,USA
| | - L E Arnold
- Department of Psychiatry and Behavioral Health,Ohio State University,Columbus, OH,USA
| | - M A Fristad
- Department of Psychiatry and Behavioral Health,Ohio State University,Columbus, OH,USA
| | - E A Youngstrom
- Department of Psychology,University of North Carolina at Chapel Hill,Chapel Hill, NC,USA
| | - S M Horwitz
- Department of Child and Adolescent Psychiatry,New York University School of Medicine,New York, NY,USA
| | - R L Findling
- Department of Psychiatry,Johns Hopkins University,Baltimore, MD,USA
| | - M L Phillips
- Department of Psychiatry,Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh,Pittsburgh, PA,USA
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Ong ML, Youngstrom EA, Chua JJX, Halverson TF, Horwitz SM, Storfer-Isser A, Frazier TW, Fristad MA, Arnold LE, Phillips ML, Birmaher B, Kowatch RA, Findling RL. Comparing the CASI-4R and the PGBI-10 M for Differentiating Bipolar Spectrum Disorders from Other Outpatient Diagnoses in Youth. JOURNAL OF ABNORMAL CHILD PSYCHOLOGY 2017; 45:611-623. [PMID: 27364346 PMCID: PMC5685560 DOI: 10.1007/s10802-016-0182-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
We compared 2 rating scales with different manic symptom items on diagnostic accuracy for detecting pediatric bipolar spectrum disorder (BPSDs) in outpatient mental health clinics. Participants were 681 parents/guardians of eligible children (465 male, mean age = 9.34) who completed the Parent General Behavior Inventory-10-item Mania (PGBI-10 M) and mania subscale of the Child and Adolescent Symptom Inventory-Revised (CASI-4R). Diagnoses were based on KSADS interviews with parent and youth. Receiver operating characteristic (ROC) analyses and diagnostic likelihood ratios (DLRs) determined discriminative validity and provided clinical utility, respectively. Logistic regressions tested for incremental validity in the CASI-4R mania subscale and PGBI-10 M in predicting youth BPSD status above and beyond demographic and common diagnostic comorbidities. Both CASI-4R and PGBI-10 M scales significantly distinguished BPSD (N = 160) from other disorders (CASI-4R: Area under curve (AUC) = .80, p < 0.0005; PGBI-10 M: AUC = 0.79, p < 0.0005) even though scale items differed. Both scales performed equally well in differentiating BPSDs (Venkatraman test p > 0.05). Diagnostic likelihood ratios indicated low scores on either scale (CASI: 0-5; PGBI-10 M: 0-6) cut BPSD odds to 1/5 of those with high scores (CASI DLR- = 0.17; PGBI-10 M DLR- = 0.18). High scores on either scale (CASI: 14+; PGBI-10 M: 20+) increased BPSD odds about fourfold (CASI DLR+ = 4.53; PGBI-10 M DLR+ = 3.97). Logistic regressions indicated the CASI-4R mania subscale and PGBI-10 M each provided incremental validity in predicting youth BPSD status. The CASI-4R is at least as valid as the PGBI-10 M to help identify BPSDs, and can be considered as part of an assessment battery to screen for pediatric BPSDs.
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Affiliation(s)
- Mian-Li Ong
- Department of Psychology and Neuroscience, University of North Carolina, Chapel Hill, CB #3270, Davie Hall, Chapel Hill, NC, 27599-3270, USA
| | - Eric A Youngstrom
- Department of Psychology and Neuroscience, University of North Carolina, Chapel Hill, CB #3270, Davie Hall, Chapel Hill, NC, 27599-3270, USA.
| | - Jesselyn Jia-Xin Chua
- Department of Psychology, National University of Singapore, 21 Lower Kent Ridge Rd, Singapore, 119077, Singapore
| | - Tate F Halverson
- Department of Psychology and Neuroscience, University of North Carolina, Chapel Hill, CB #3270, Davie Hall, Chapel Hill, NC, 27599-3270, USA
| | - Sarah M Horwitz
- Department of Child and Adolescent Psychiatry, New York University, New York, NY, USA
| | | | - Thomas W Frazier
- Cleveland Clinic Foundation, 2049 E 100th St, Cleveland, OH, 44195, USA
| | - Mary A Fristad
- Department of Psychology, Ohio State University, Columbus, OH, 43210, USA
| | - L Eugene Arnold
- Research Unit on Pediatric Psychopharmacology, Ohio State University, Columbus, OH, 43210, USA
| | - Mary L Phillips
- Department of Psychiatry, University of Pittsburgh, 4200 Fifth Ave, Pittsburgh, PA, 15260, USA
| | - Boris Birmaher
- Department of Psychiatry, University of Pittsburgh, 4200 Fifth Ave, Pittsburgh, PA, 15260, USA
| | - Robert A Kowatch
- Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave, Cincinnati, OH, 45229, USA
| | - Robert L Findling
- Department of Psychiatry, Kennedy Krieger Institute, John Hopkins University, Baltimore, MD, 21218, USA
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Salcedo S, Chen YL, Youngstrom EA, Fristad MA, Gadow KD, Horwitz SM, Frazier TW, Arnold LE, Phillips ML, Birmaher B, Kowatch RA, Findling RL. Diagnostic Efficiency of the Child and Adolescent Symptom Inventory (CASI-4R) Depression Subscale for Identifying Youth Mood Disorders. JOURNAL OF CLINICAL CHILD AND ADOLESCENT PSYCHOLOGY 2017; 47:832-846. [PMID: 28278596 DOI: 10.1080/15374416.2017.1280807] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
This study examined the diagnostic and clinical utility of the Child and Adolescent Symptom Inventory-4 R (CASI-4 R) Depressive and Dysthymia subscale for detecting mood disorders in youth (ages 6-12; M = 9.37) visiting outpatient mental health clinics. Secondary analyses (N = 700) utilized baseline data from the Longitudinal Assessment of Manic Symptoms study. Semistructured interviews with youth participants and their parents/caregivers determined psychiatric diagnoses. Caregivers and teachers completed the CASI-4 R. CASI-4 R depressive symptom severity and symptom count scores each predicted mood disorder diagnoses. Both caregiver scores (symptom severity and symptom count) of the CASI-4 R subscale significantly identified youth mood disorders (areas under the curve [AUCs] = .78-.79, ps < .001). The symptom severity version showed a small but significant advantage. Teacher symptom severity report did not significantly predict mood disorder diagnosis (AUC = .56, p > .05), whereas the teacher symptom count report corresponded to a small effect size (AUC = .61, p < .05). The CASI-4 R Depression scale showed strong incrememental validity even controlling for the other CASI-4 R scales. Caregiver subscale cutoff scores were calculated to assist in ruling in (diagnostic likelihood ratio [DLR] = 3.73) or ruling out (DLR = 0.18) presence of a mood disorder. The CASI-4 R Depressive subscale caregiver report can help identify youth mood disorders, and using DLRs may help improve diagnostic accuracy.
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Affiliation(s)
- Stephanie Salcedo
- b Department of Psychology and Neuroscience, University of North Carolina, Chapel Hill
| | - Yen-Ling Chen
- a Department of Psychology, University of Nevada, Las Vegas
| | - Eric A Youngstrom
- b Department of Psychology and Neuroscience, University of North Carolina, Chapel Hill
| | | | | | - Sarah M Horwitz
- e Department of Child and Adolescent Psychiatry, NYU Langone Medical Center
| | | | | | | | | | - Robert A Kowatch
- h Department of Psychiatry, Ohio State University Medical Center and Nationwide Children's Hospital
| | - Robert L Findling
- i Department of Psychiatry and Behavioral Sciences, Johns Hopkins University and Kennedy Krieger Institute
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Perez Algorta G, MacPherson HA, Youngstrom EA, Belt CC, Arnold LE, Frazier TW, Taylor HG, Birmaher B, Horwitz SM, Findling RL, Fristad MA. Parenting Stress Among Caregivers of Children With Bipolar Spectrum Disorders. JOURNAL OF CLINICAL CHILD AND ADOLESCENT PSYCHOLOGY 2017; 47:S306-S320. [PMID: 28278600 DOI: 10.1080/15374416.2017.1280805] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Caregivers of psychiatrically impaired children experience considerable parenting stress. However, no research has evaluated parenting stress within the context of pediatric bipolar spectrum disorders (BPSD). Thus, the aim of this investigation was to identify predictors and moderators of stress among caregivers in the Longitudinal Assessment of Manic Symptoms study. Participants included 640 children and their caregivers in the Longitudinal Assessment of Manic Symptoms cohort. Children had a mean age of 9.4 ± 1.9 years (68% male, 23% BPSD); parents had a mean age of 36.5 ± 8.3 years (84% mothers). Children with BPSD had more service utilization, psychiatric diagnoses, mood and anxiety symptoms, and functional impairment but fewer disruptive behavior disorders. Caregivers of children with BPSD were more likely than caregivers of children without BPSD to have a partner, elevated depressive symptoms, antisocial tendencies, and parenting stress (Cohen's d = .49). For the whole sample, higher child IQ, mania, anxiety, disruptive behavior, and caregiver depression predicted increased parenting stress; maternal conduct disorder predicted lower stress. Child anxiety and disruptive behavior were associated with elevated caregiver stress only for non-BPSD children. Caregivers of children with BPSD experience significant burden and thus require specialized, family-focused interventions. As stress was also elevated, to a lesser degree, among depressed caregivers of children with higher IQ, mania, anxiety, and disruptive behavior, these families may need additional supports as well. Although parents with conduct/antisocial problems evidenced lower stress, these difficulties should be monitored. Thus, parenting stress should be evaluated and addressed in the treatment of childhood mental health problems, especially BPSD.
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Affiliation(s)
- Guillermo Perez Algorta
- a Spectrum Centre for Mental Health Research/Division of Health Research , Lancaster University
| | | | - Eric A Youngstrom
- c Department of Psychology , University of North Carolina at Chapel Hill
| | | | - L Eugene Arnold
- e Department of Psychiatry and Behavioral Health , The Ohio State University Wexner Medical Center
| | | | - H Gerry Taylor
- g Department of Pediatrics , Case Western Reserve University and Rainbow Babies & Children's Hospital
| | - Boris Birmaher
- h Department of Psychiatry , University of Pittsburgh Medical Center
| | - Sarah McCue Horwitz
- i Department of Child and Adolescent Psychiatry , New York University School of Medicine
| | - Robert L Findling
- j Department of Psychiatry , Johns Hopkins University/Kennedy Krieger Institute
| | - Mary A Fristad
- e Department of Psychiatry and Behavioral Health , The Ohio State University Wexner Medical Center.,k The LAMS Team
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Horwitz SM, Storfer-Isser A, Young AS, Youngstrom EA, Taylor HG, Frazier TW, Arnold LE, Fristad MA, Birmaher B, Findling RL. Development of Alcohol and Drug Use in Youth With Manic Symptoms. J Am Acad Child Adolesc Psychiatry 2017; 56:149-156. [PMID: 28117061 PMCID: PMC5302842 DOI: 10.1016/j.jaac.2016.11.004] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2016] [Revised: 10/25/2016] [Accepted: 11/21/2016] [Indexed: 11/30/2022]
Abstract
OBJECTIVE This analysis examined alcohol and drug use over a 6-year follow-up of children in the Longitudinal Assessment of Manic Symptoms (LAMS) study. METHOD LAMS screened 6- to 12.9-year-old children visiting 9 child outpatient mental health (MH) clinics, using the Parent General Behavior Inventory 10-item mania scale. All children with scores ≥12 and a matched group with scores ≤12 were invited to enroll. Children were assessed every 6 months. Assessments included demographics, family, MH history, child diagnoses, child stress, and alcohol and drug use. Univariate, bivariate, and interval censored survival analyses were conducted. RESULTS Of those >9 years at baseline, 34.9% used alcohol at least once, with 11.9% regular users; 30.1% used drugs at least once, with 16.2% regular users. Predictors of any alcohol use were parental marital status, older age at study entry, a primary diagnosis of disruptive behavior disorders at baseline, and number of impactful child life events. Predictors of regular alcohol use included parental marital status, age, and sustained high mania symptoms over the first 24 months of follow-up. Predictors of any drug use were single parent, parental substance use, and stressful child life events. Predictors of regular drug use were parental marital status, stressful child life events, and a baseline disruptive behavior disorder diagnosis. Baseline medications decreased the risk of regular drug use. CONCLUSION Longitudinal data on youth with elevated manic symptoms suggest that comorbid disruptive behavior disorder, manic symptom burden, family environment, and stress are predictors of initiation and regular use of substances.
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Affiliation(s)
| | | | | | | | | | - Thomas W Frazier
- Center for Pediatric Behavioral Health, Cleveland Clinic, Cleveland
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Usher C. Here/In This Issue and There/Abstract Thinking: Charting a New Course. J Am Acad Child Adolesc Psychiatry 2017; 56:99-100. [PMID: 28117067 DOI: 10.1016/j.jaac.2016.11.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2016] [Accepted: 11/22/2016] [Indexed: 11/16/2022]
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Hafeman D, Bebko G, Bertocci MA, Fournier JC, Chase HW, Bonar L, Perlman SB, Travis M, Gill MK, Diwadkar VA, Sunshine JL, Holland SK, Kowatch RA, Birmaher B, Axelson D, Horwitz SM, Arnold LE, Fristad MA, Frazier TW, Youngstrom EA, Findling RL, Phillips ML. Amygdala-prefrontal cortical functional connectivity during implicit emotion processing differentiates youth with bipolar spectrum from youth with externalizing disorders. J Affect Disord 2017; 208:94-100. [PMID: 27756046 PMCID: PMC5154789 DOI: 10.1016/j.jad.2016.09.064] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2016] [Revised: 08/31/2016] [Accepted: 09/06/2016] [Indexed: 01/04/2023]
Abstract
OBJECTIVE Both bipolar spectrum disorders (BPSD) and attention deficit hyperactivity disorder (ADHD) present with emotion-regulation deficits, but require different clinical management. We examined how the neurobiological underpinnings of emotion regulation might differentiate youth with BPSD versus ADHD (and healthy controls, HCs), specifically assessing functional connectivity (FxC) of amygdala-prefrontal circuitry during an implicit emotion processing task. METHODS We scanned a subset of the Longitudinal Assessment of Manic Symptoms (LAMS) sample, a clinically recruited cohort with elevated behavioral and emotional dysregulation, and age/sex-ratio matched HCs. Our sample consisted of 22 youth with BPSD, 30 youth with ADHD/no BPSD, and 26 HCs. We used generalized psychophysiological interaction (gPPI) to calculate group differences to emerging emotional faces vs. morphing shapes in FxC between bilateral amygdala and ventral prefrontal cortex/anterior cingulate cortex. RESULTS FxC between amygdala and left ventrolateral prefrontal cortex (VLPFC) in response to emotions vs. shapes differed by group (p=.05): while BPSD showed positive FxC (emotions>shapes), HC and ADHD showed inverse FxC (emotions<shapes). A group x emotion interaction was found in amygdala-subgenual cingulate FxC (p=.025), explained by differences in FxC in response to negative emotions. While BPSD showed positive FxC, HC showed inverse FxC; ADHD were intermediate. Amygdala-subgenual FxC was also positively associated with depressive symptoms and stimulant medication. LIMITATIONS Co-morbidity and relatively small sample size. CONCLUSIONS Youth with BPSD showed abnormally positive FxC between amygdala and regions in the ventral prefrontal cortex during emotion processing. In particular, the amygdala-VLPFC finding was specific to BPSD, and not influenced by other diagnoses or medications.
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Affiliation(s)
- Danella Hafeman
- Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh,Corresponding author. 3811 O’Hara St, Pittsburgh, PA 15213, Phone: 412 246 5820; fax: 412 246 5230
| | - Genna Bebko
- Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh
| | - Michele A. Bertocci
- Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh
| | - Jay C. Fournier
- Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh
| | - Henry W. Chase
- Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh
| | - Lisa Bonar
- Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh
| | - Susan B. Perlman
- Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh
| | - Michael Travis
- Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh
| | - Mary Kay Gill
- Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh
| | | | | | - Scott K Holland
- Cincinnati Children’s Hospital Medical Center, University of Cincinnati
| | | | - Boris Birmaher
- Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh
| | - David Axelson
- Child Psychiatry, New York University School of Medicine
| | | | | | | | | | | | - Robert L. Findling
- University Hospitals Case Medical Center/Case Western Reserve University,Psychiatry, Johns Hopkins University
| | - Mary L. Phillips
- Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh,Psychological Medicine, Cardiff University
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Jo B, Findling RL, Hastie TJ, Youngstrom EA, Wang CP, Arnold LE, Fristad MA, Frazier TW, Birmaher B, Gill MK, Horwitz SM. Construction of longitudinal prediction targets using semisupervised learning. Stat Methods Med Res 2017; 27:2674-2693. [PMID: 28067113 DOI: 10.1177/0962280216684163] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
In establishing prognostic models, often aided by machine learning methods, much effort is concentrated in identifying good predictors. However, the same level of rigor is often absent in improving the outcome side of the models. In this study, we focus on this rather neglected aspect of model development. We are particularly interested in the use of longitudinal information as a way of improving the outcome side of prognostic models. This involves optimally characterizing individuals' outcome status, classifying them, and validating the formulated prediction targets. None of these tasks are straightforward, which may explain why longitudinal prediction targets are not commonly used in practice despite their compelling benefits. As a way of improving this situation, we explore the joint use of empirical model fitting, clinical insights, and cross-validation based on how well formulated targets are predicted by clinically relevant baseline characteristics (antecedent validators). The idea here is that all these methods are imperfect but can be used together to triangulate valid prediction targets. The proposed approach is illustrated using data from the longitudinal assessment of manic symptoms study.
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Affiliation(s)
- Booil Jo
- 1 Stanford University, Stanford, USA
| | | | | | | | - Chen-Pin Wang
- 4 University of Texas Health Science Center, San Antonio, USA
| | | | | | | | - Boris Birmaher
- 7 University of Pittsburgh Medical Center, Pittsburgh, USA
| | - Mary K Gill
- 7 University of Pittsburgh Medical Center, Pittsburgh, USA
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Jo B, Findling RL, Wang CP, Hastie TJ, Youngstrom EA, Arnold LE, Fristad MA, Horwitz SM. Targeted use of growth mixture modeling: a learning perspective. Stat Med 2016; 36:671-686. [PMID: 27804177 DOI: 10.1002/sim.7152] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2015] [Revised: 08/15/2016] [Accepted: 09/26/2016] [Indexed: 11/06/2022]
Abstract
From the statistical learning perspective, this paper shows a new direction for the use of growth mixture modeling (GMM), a method of identifying latent subpopulations that manifest heterogeneous outcome trajectories. In the proposed approach, we utilize the benefits of the conventional use of GMM for the purpose of generating potential candidate models based on empirical model fitting, which can be viewed as unsupervised learning. We then evaluate candidate GMM models on the basis of a direct measure of success; how well the trajectory types are predicted by clinically and demographically relevant baseline features, which can be viewed as supervised learning. We examine the proposed approach focusing on a particular utility of latent trajectory classes, as outcomes that can be used as valid prediction targets in clinical prognostic models. Our approach is illustrated using data from the Longitudinal Assessment of Manic Symptoms study. Copyright © 2016 John Wiley & Sons, Ltd.
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Affiliation(s)
- Booil Jo
- Stanford University, Stanford, CA, U.S.A
| | | | - Chen-Pin Wang
- University of Texas Health Science Center, San Antonio, TX, U.S.A
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Predicting clinical outcome from reward circuitry function and white matter structure in behaviorally and emotionally dysregulated youth. Mol Psychiatry 2016; 21:1194-201. [PMID: 26903272 PMCID: PMC4993633 DOI: 10.1038/mp.2016.5] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2015] [Revised: 10/09/2015] [Accepted: 12/02/2015] [Indexed: 12/20/2022]
Abstract
Behavioral and emotional dysregulation in childhood may be understood as prodromal to adult psychopathology. Additionally, there is a critical need to identify biomarkers reflecting underlying neuropathological processes that predict clinical/behavioral outcomes in youth. We aimed to identify such biomarkers in youth with behavioral and emotional dysregulation in the Longitudinal Assessment of Manic Symptoms (LAMS) study. We examined neuroimaging measures of function and white matter in the whole brain using 80 youth aged 14.0 (s.d.=2.0) from three clinical sites. Linear regression using the LASSO (Least Absolute Shrinkage and Selection Operator) method for variable selection was used to predict severity of future behavioral and emotional dysregulation measured by the Parent General Behavior Inventory-10 Item Mania Scale (PGBI-10M)) at a mean of 14.2 months follow-up after neuroimaging assessment. Neuroimaging measures, together with near-scan PGBI-10M, a score of manic behaviors, depressive behaviors and sex, explained 28% of the variance in follow-up PGBI-10M. Neuroimaging measures alone, after accounting for other identified predictors, explained ~1/3 of the explained variance, in follow-up PGBI-10M. Specifically, greater bilateral cingulum length predicted lower PGBI-10M at follow-up. Greater functional connectivity in parietal-subcortical reward circuitry predicted greater PGBI-10M at follow-up. For the first time, data suggest that multimodal neuroimaging measures of underlying neuropathologic processes account for over a third of the explained variance in clinical outcome in a large sample of behaviorally and emotionally dysregulated youth. This may be an important first step toward identifying neurobiological measures with the potential to act as novel targets for early detection and future therapeutic interventions.
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Van Meter AR, You DS, Halverson T, Youngstrom EA, Birmaher B, Fristad MA, Kowatch RA, Storfer-Isser A, Horwitz SM, Frazier TW, Arnold LE, Findling RL, Lams Group T. Diagnostic Efficiency of Caregiver Report on the SCARED for Identifying Youth Anxiety Disorders in Outpatient Settings. JOURNAL OF CLINICAL CHILD AND ADOLESCENT PSYCHOLOGY 2016; 47:S161-S175. [PMID: 27485325 DOI: 10.1080/15374416.2016.1188698] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
This study investigated the diagnostic and clinical utility of the parent-rated Screen for Child Anxiety Related Emotional Disorders (SCARED-P) for detecting youth anxiety disorders. Youth ages 6 to 12 years, 11 months were recruited from 9 outpatient mental health clinics (N = 707). Consensus diagnoses were based on semistructured interviews (Schedule for Affective Disorders and Schizophrenia for School-Age Children) with youth and caregivers; 31% were diagnosed with at least one anxiety disorder. Caregivers completed the SCARED-P to describe youth anxiety levels. SCARED-P scores were not considered during the consensus diagnoses. Areas under the curve (AUCs) from receiver operating characteristic analyses and diagnostic likelihood ratios (DLRs) quantified performance of the SCARED-P total score and subscale scores (generalized anxiety disorder and separation anxiety disorder). SCARED-P total scores had variable efficiency (AUCs = .69-.88), and Generalized Anxiety Disorder and Separation Anxiety subscale scores were excellent (AUCs = .86-.89) for identifying specific anxiety disorders. Optimal subscale cutoff scores were computed to help rule in (DLRs = 2.7-5.4) or rule out (DLRs < 1.0) anxiety disorders among youth. Results suggest that the Generalized Anxiety Disorder and Separation Anxiety SCARED-P subscales accurately identify their respective matched diagnoses. DLRs may aid clinicians in screening for youth anxiety disorders and improve accuracy of diagnosis.
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Affiliation(s)
| | | | - Tate Halverson
- c Department of Psychology and Neuroscience , University of North Carolina , Chapel Hill
| | - Eric A Youngstrom
- c Department of Psychology and Neuroscience , University of North Carolina , Chapel Hill
| | | | - Mary A Fristad
- e Department of Psychiatry and Behavioral Health , The Ohio State University
| | | | | | | | | | - L Eugene Arnold
- e Department of Psychiatry and Behavioral Health , The Ohio State University
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Fristad MA, Wolfson H, Algorta GP, Youngstrom EA, Arnold LE, Birmaher B, Horwitz S, Axelson D, Kowatch RA, Findling RL. Disruptive Mood Dysregulation Disorder and Bipolar Disorder Not Otherwise Specified: Fraternal or Identical Twins? J Child Adolesc Psychopharmacol 2016; 26:138-46. [PMID: 26859630 PMCID: PMC4800383 DOI: 10.1089/cap.2015.0062] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
OBJECTIVE The purpose of this study was to examine similarities and differences between disruptive mood dysregulation disorder (DMDD) and bipolar disorder not otherwise specified (BP-NOS) in baseline sociodemographic and clinical characteristics and 36 month course of irritability in children 6-12.9 years of age. METHODS A total of 140 children with DMDD and 77 children with BP-NOS from the Longitudinal Assessment of Manic Symptoms cohort were assessed at baseline, then reassessed every 6 months for 36 months. RESULTS Groups were similar on most sociodemographic and baseline clinical variables other than most unfiltered (i.e., interviewer-rated regardless of occurrence during a mood episode) Young Mania Rating Scale (YMRS) and parent-reported General Behavior Inventory-10 Item Mania (PGBI-10M) items. Children with DMDD received lower scores on every item (including irritability) except impaired insight; differences were significant except for sexual interest and disruptive-aggressive behavior. Children with DMDD received lower scores on eight of 10 PGBI-10M items, the other two items rated irritability. Youth with DMDD were significantly less likely to have a biological parent with a bipolar diagnosis than were youth with BP-NOS. Children with DMDD were more likely to be male and older than children with BP-NOS, both small effect sizes, but had nearly double the rate of disruptive behavior disorders (large effect). Caregiver ratings of irritability based on the Child and Adolescent Symptom Inventory-4R (CASI-4R) were comparable at baseline; the DMDD group had a small but significantly steeper decline in scores over 36 months relative to the BP-NOS group (b = -0.24, SE = 0.12, 95% CI -0.48 to -0.0004). Trajectories for both groups were fairly stable, in the midrange of possible scores. CONCLUSIONS In a sample selected for elevated symptoms of mania, twice as many children were diagnosed with DMDD than with BP-NOS. Children with DMDD and BP-NOS are similar on most characteristics other than manic symptoms, per se, and parental history of bipolar disorder. Chronic irritability is common in both groups. Comprehensive evaluations are needed to diagnose appropriately. Clinicians should not assume that chronic irritability leads exclusively to a DMDD diagnosis.
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Affiliation(s)
- Mary A. Fristad
- Department of Psychiatry and Behavioral Health, The Ohio State University Wexner Medical Center, Columbus, Ohio
| | - Hannah Wolfson
- Department of Psychiatry and Behavioral Health, The Ohio State University Wexner Medical Center, Columbus, Ohio
| | | | - Eric A. Youngstrom
- Department of Psychology, University of North Carolina, Chapel Hill, North Carolina
| | - L. Eugene Arnold
- Department of Psychiatry and Behavioral Health, The Ohio State University Wexner Medical Center, Columbus, Ohio
| | - Boris Birmaher
- Department of Psychiatry, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Sarah Horwitz
- Department of Child and Adolescent Psychiatry, New York University School of Medicine, New York, New York
| | - David Axelson
- Department of Psychiatry and Behavioral Health, The Ohio State University Wexner Medical Center, Columbus, Ohio.,Section of Child and Adolescent Psychiatry, Nationwide Children's Hospital, Columbus, Ohio
| | - Robert A. Kowatch
- Department of Psychiatry and Behavioral Health, The Ohio State University Wexner Medical Center, Columbus, Ohio.,Section of Child and Adolescent Psychiatry, Nationwide Children's Hospital, Columbus, Ohio
| | - Robert L. Findling
- Department of Psychiatry, Johns Hopkins Children's Center/ Kennedy Krieger Institute, Baltimore, Maryland
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Young AS, Horwitz S, Findling RL, Youngstrom EA, Arnold LE, Fristad MA. Parents' Perceived Treatment Match and Treatment Retention Over 12 Months Among Youths in the LAMS Study. Psychiatr Serv 2016; 67:310-5. [PMID: 26522675 PMCID: PMC4775290 DOI: 10.1176/appi.ps.201400553] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE The goal of these analyses was to describe the 12-month prevalence of mental health services retention for youths ages six to 12 years and identify predictors of treatment retention. Data were from the Longitudinal Assessment of Manic Symptoms study. METHODS In a longitudinal cohort study, 416 children and their parents completed measures of mental health services use and parents' perception of the services and participated in semistructured psychodiagnostic interviews during a baseline and 12-month assessment. Logistic regression analyses examined the effects on 12-month treatment retention of demographic and clinical variables and parents' perception of how well their children's treatment matched their needs. RESULTS Sixty-nine percent of youths (N=289) continued to use services at 12 months. After the analyses controlled for other demographic and clinical factors, white race (p<.001) and greater functional impairment (p=.024) were associated with treatment retention; greater perceived treatment match at baseline significantly predicted retention above and beyond the effects of sociodemographic and clinical variables (p=.001). CONCLUSIONS Parents' perceptions about appropriateness of treatment, white race, and functional impairment predicted 12-month treatment retention.
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Affiliation(s)
- Andrea S Young
- Dr. Young, Dr. Arnold, and Dr. Fristad are with the Department of Psychiatry, where Dr. Fristad is with the Division of Child and Adolescent Psychiatry, Ohio State University, Columbus (e-mail: ). Dr. Horwitz is with the Department of Pediatrics, Stanford University, and Stanford Health Policy, Stanford, California. Dr. Findling is with the Division of Child and Adolescent Psychiatry, Case Western Reserve University School of Medicine, Cleveland, Ohio, and the Department of Psychiatry, Johns Hopkins Children's Center, Baltimore. Dr. Youngstrom is with the Department of Psychology, University of North Carolina, Chapel Hill
| | - Sarah Horwitz
- Dr. Young, Dr. Arnold, and Dr. Fristad are with the Department of Psychiatry, where Dr. Fristad is with the Division of Child and Adolescent Psychiatry, Ohio State University, Columbus (e-mail: ). Dr. Horwitz is with the Department of Pediatrics, Stanford University, and Stanford Health Policy, Stanford, California. Dr. Findling is with the Division of Child and Adolescent Psychiatry, Case Western Reserve University School of Medicine, Cleveland, Ohio, and the Department of Psychiatry, Johns Hopkins Children's Center, Baltimore. Dr. Youngstrom is with the Department of Psychology, University of North Carolina, Chapel Hill
| | - Robert L Findling
- Dr. Young, Dr. Arnold, and Dr. Fristad are with the Department of Psychiatry, where Dr. Fristad is with the Division of Child and Adolescent Psychiatry, Ohio State University, Columbus (e-mail: ). Dr. Horwitz is with the Department of Pediatrics, Stanford University, and Stanford Health Policy, Stanford, California. Dr. Findling is with the Division of Child and Adolescent Psychiatry, Case Western Reserve University School of Medicine, Cleveland, Ohio, and the Department of Psychiatry, Johns Hopkins Children's Center, Baltimore. Dr. Youngstrom is with the Department of Psychology, University of North Carolina, Chapel Hill
| | - Eric A Youngstrom
- Dr. Young, Dr. Arnold, and Dr. Fristad are with the Department of Psychiatry, where Dr. Fristad is with the Division of Child and Adolescent Psychiatry, Ohio State University, Columbus (e-mail: ). Dr. Horwitz is with the Department of Pediatrics, Stanford University, and Stanford Health Policy, Stanford, California. Dr. Findling is with the Division of Child and Adolescent Psychiatry, Case Western Reserve University School of Medicine, Cleveland, Ohio, and the Department of Psychiatry, Johns Hopkins Children's Center, Baltimore. Dr. Youngstrom is with the Department of Psychology, University of North Carolina, Chapel Hill
| | - L Eugene Arnold
- Dr. Young, Dr. Arnold, and Dr. Fristad are with the Department of Psychiatry, where Dr. Fristad is with the Division of Child and Adolescent Psychiatry, Ohio State University, Columbus (e-mail: ). Dr. Horwitz is with the Department of Pediatrics, Stanford University, and Stanford Health Policy, Stanford, California. Dr. Findling is with the Division of Child and Adolescent Psychiatry, Case Western Reserve University School of Medicine, Cleveland, Ohio, and the Department of Psychiatry, Johns Hopkins Children's Center, Baltimore. Dr. Youngstrom is with the Department of Psychology, University of North Carolina, Chapel Hill
| | - Mary A Fristad
- Dr. Young, Dr. Arnold, and Dr. Fristad are with the Department of Psychiatry, where Dr. Fristad is with the Division of Child and Adolescent Psychiatry, Ohio State University, Columbus (e-mail: ). Dr. Horwitz is with the Department of Pediatrics, Stanford University, and Stanford Health Policy, Stanford, California. Dr. Findling is with the Division of Child and Adolescent Psychiatry, Case Western Reserve University School of Medicine, Cleveland, Ohio, and the Department of Psychiatry, Johns Hopkins Children's Center, Baltimore. Dr. Youngstrom is with the Department of Psychology, University of North Carolina, Chapel Hill
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Manelis A, Ladouceur CD, Graur S, Monk K, Bonar LK, Hickey MB, Dwojak AC, Axelson D, Goldstein BI, Goldstein TR, Bebko G, Bertocci MA, Gill MK, Birmaher B, Phillips ML. Altered functioning of reward circuitry in youth offspring of parents with bipolar disorder. Psychol Med 2016; 46:197-208. [PMID: 26373895 PMCID: PMC4674341 DOI: 10.1017/s003329171500166x] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
BACKGROUND Offspring of parents with bipolar disorder (BD) (BO) are at higher risk of BD than offspring of parents with non-BD psychopathology (NBO), although both groups are at higher risk than offspring of psychiatrically healthy parents (HC) for other affective and psychiatric disorders. Abnormal functioning in reward circuitry has been demonstrated previously in individuals with BD. We aimed to determine whether activation and functional connectivity in this circuitry during risky decision-making differentiated BO, NBO and HC. METHOD BO (n = 29; mean age = 13.8 years; 14 female), NBO (n = 28; mean age = 13.9 years; 12 female) and HC (n = 23; mean age = 13.7 years; 11 female) were scanned while performing a number-guessing reward task. Of the participants, 11 BO and 12 NBO had current non-BD psychopathology; five BO and four NBO were taking psychotropic medications. RESULTS A 3 (group) × 2 (conditions: win-control/loss-control) analysis of variance revealed a main effect of group on right frontal pole activation: BO showed significantly greater activation than HC. There was a significant main effect of group on functional connectivity between the bilateral ventral striatum and the right ventrolateral prefrontal cortex (Z > 3.09, cluster-p < 0.05): BO showed significantly greater negative functional connectivity than other participants. These between-group differences remained after removing youth with psychiatric disorders and psychotropic medications from analyses. CONCLUSIONS This is the first study to demonstrate that reward circuitry activation and functional connectivity distinguish BO from NBO and HC. The fact that the pattern of findings remained when comparing healthy BO v. healthy NBO v. HC suggests that these neuroimaging measures may represent trait-level neurobiological markers conferring either risk for, or protection against, BD in youth.
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Affiliation(s)
- A Manelis
- Department of Psychiatry,Western Psychiatric Institute and Clinic,University of Pittsburgh Medical Center,University of Pittsburgh,Pittsburgh,PA,USA
| | - C D Ladouceur
- Department of Psychiatry,Western Psychiatric Institute and Clinic,University of Pittsburgh Medical Center,University of Pittsburgh,Pittsburgh,PA,USA
| | - S Graur
- Department of Psychiatry,Western Psychiatric Institute and Clinic,University of Pittsburgh Medical Center,University of Pittsburgh,Pittsburgh,PA,USA
| | - K Monk
- Department of Psychiatry,Western Psychiatric Institute and Clinic,University of Pittsburgh Medical Center,University of Pittsburgh,Pittsburgh,PA,USA
| | - L K Bonar
- Department of Psychiatry,Western Psychiatric Institute and Clinic,University of Pittsburgh Medical Center,University of Pittsburgh,Pittsburgh,PA,USA
| | - M B Hickey
- Department of Psychiatry,Western Psychiatric Institute and Clinic,University of Pittsburgh Medical Center,University of Pittsburgh,Pittsburgh,PA,USA
| | - A C Dwojak
- Department of Psychiatry,Western Psychiatric Institute and Clinic,University of Pittsburgh Medical Center,University of Pittsburgh,Pittsburgh,PA,USA
| | - D Axelson
- Department of Psychiatry,Nationwide Children's Hospital and The Ohio State College of Medicine,Columbus,OH,USA
| | - B I Goldstein
- Department of Psychiatry,Sunnybrook Health Sciences Centre,University of Toronto,Faculty of Medicine,Toronto,Ontario,Canada
| | - T R Goldstein
- Department of Psychiatry,Western Psychiatric Institute and Clinic,University of Pittsburgh Medical Center,University of Pittsburgh,Pittsburgh,PA,USA
| | - G Bebko
- Department of Psychiatry,Western Psychiatric Institute and Clinic,University of Pittsburgh Medical Center,University of Pittsburgh,Pittsburgh,PA,USA
| | - M A Bertocci
- Department of Psychiatry,Western Psychiatric Institute and Clinic,University of Pittsburgh Medical Center,University of Pittsburgh,Pittsburgh,PA,USA
| | - M K Gill
- Department of Psychiatry,Western Psychiatric Institute and Clinic,University of Pittsburgh Medical Center,University of Pittsburgh,Pittsburgh,PA,USA
| | - B Birmaher
- Department of Psychiatry,Western Psychiatric Institute and Clinic,University of Pittsburgh Medical Center,University of Pittsburgh,Pittsburgh,PA,USA
| | - M L Phillips
- Department of Psychiatry,Western Psychiatric Institute and Clinic,University of Pittsburgh Medical Center,University of Pittsburgh,Pittsburgh,PA,USA
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Benarous X, Mikita N, Goodman R, Stringaris A. Distinct relationships between social aptitude and dimensions of manic-like symptoms in youth. Eur Child Adolesc Psychiatry 2016; 25:831-42. [PMID: 26650482 PMCID: PMC4967092 DOI: 10.1007/s00787-015-0800-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2015] [Accepted: 11/17/2015] [Indexed: 01/28/2023]
Abstract
Difficulties with interpersonal relationships have been reported in children and adolescents with manic symptoms, even if they do not fulfil criteria for a manic episode. The role of social aptitude (SA) in youths with manic symptoms has never been examined in the general population. Moreover, no study has examined whether SA is differentially associated with dimensions of manic symptoms. We hypothesised that youth with predominantly undercontrol manic symptoms (characterised by irritability) would show lower levels of SA; conversely, youth with predominantly exuberant symptoms would show better than average social skills. Our sample comprised 5325 participants from the 2004 British Child and Adolescent Mental Health Survey (B-CAMHS04), mean age 10.3 years, SD = 3.3, 48 % girls. Manic symptoms were assessed with the Development and Wellbeing Assessment by interviewing parents and young people. Children and adolescents with manic symptoms had a lower SA score, compared to the general population by parent report, but not by self-report. SA score was higher in youths with predominantly exuberant manic symptoms compared to the general population; whereas the youths with predominantly undercontrol manic symptoms had lower SA scores by parent and self-report. Our results provide further evidence for the distinction between exuberant and undercontrol manic symptoms and highlight the need to focus on SA in future research.
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Affiliation(s)
- Xavier Benarous
- King's College London, Institute of Psychiatry, Psychology and Neuroscience, Box P085, De Crespigny Park, Denmark Hill, London, SE5 8AF, UK. .,Department of Child and Adolescent Psychiatry, Hôpital Pitié-Salpêtrière, 47-83, Boulevard de l'Hôpital, 75013, Paris, France. .,, 19 rue de Turenne, 75004, Paris, France.
| | - Nina Mikita
- King’s College London, Institute of Psychiatry, Psychology and Neuroscience, Box P085, De Crespigny Park, Denmark Hill, London, SE5 8AF UK
| | - Robert Goodman
- King’s College London, Institute of Psychiatry, Psychology and Neuroscience, Box P085, De Crespigny Park, Denmark Hill, London, SE5 8AF UK
| | - Argyris Stringaris
- King’s College London, Institute of Psychiatry, Psychology and Neuroscience, Box P085, De Crespigny Park, Denmark Hill, London, SE5 8AF UK
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Vesco AT, Lehmann J, Gracious BL, Arnold LE, Young AS, Fristad MA. Omega-3 Supplementation for Psychotic Mania and Comorbid Anxiety in Children. J Child Adolesc Psychopharmacol 2015; 25:526-34. [PMID: 26288263 PMCID: PMC4576937 DOI: 10.1089/cap.2013.0141] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
OBJECTIVES Therapeutic benefits of omega-3 fatty acids (Ω3) for mood disorders, psychosis, and anxiety have been reported in the literature. The purpose of the present article is to provide a literature review of Ω3 supplementation for affective disorders and to illustrate the benefits of Ω3 with a case presentation of a young girl with a history of bipolar disorder-type 1 with psychotic features and generalized anxiety disorder. METHODS Reviewed literature includes treatment studies of the impact of Ω3 on child mood disorders supplemented by review of meta-analyses within the adult mood disorders literature. The subject of this case report participated in 11 in-depth diagnostic and functional assessments over 5 years as part of an unrelated study. Three years were presupplementation and 2 years were with supplementation with no other medication changes, thus making a naturalistic multiple-baseline single-subject experiment. RESULTS Augmentation over a 2 year period was notable for clinically significant and sustained improvement in depressive, manic, and psychotic symptoms. CONCLUSION Ω3 supplementation may be a safe, adjunct intervention for treating bipolar disorder in children and adolescents, even in the presence of psychotic and anxious features. The 2 year follow-up in this case offers hope of an accumulating and enduring benefit. Further research into mechanisms of Ω3 action and of combination treatment with other well-known interventions for mood disorders would be beneficial.
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Affiliation(s)
- Anthony T. Vesco
- Department of Psychiatry and Behavioral Health, The Ohio State University Wexner Medical Center, Columbus, Ohio.,Department of Psychology, The Ohio State University, Columbus, Ohio
| | - Jennifer Lehmann
- Department of Psychology, Case Western Reserve University, Cleveland, Ohio
| | - Barbara L. Gracious
- Department of Psychiatry and Behavioral Health, The Ohio State University Wexner Medical Center, Columbus, Ohio.,Center for Innovation in Pediatric Practice, The Research Institute at Nationwide Children's Hospital, Nationwide Children's Hospital, Columbus, Ohio
| | - L. Eugene Arnold
- Department of Psychiatry and Behavioral Health, The Ohio State University Wexner Medical Center, Columbus, Ohio
| | - Andrea S. Young
- Department of Psychiatry and Behavioral Health, The Ohio State University Wexner Medical Center, Columbus, Ohio
| | - Mary A. Fristad
- Department of Psychiatry and Behavioral Health, The Ohio State University Wexner Medical Center, Columbus, Ohio.,Department of Psychology, The Ohio State University, Columbus, Ohio
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47
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Manelis A, Ladouceur CD, Graur S, Monk K, Bonar LK, Hickey MB, Dwojak AC, Axelson D, Goldstein BI, Goldstein TR, Bebko G, Bertocci MA, Hafeman DM, Gill MK, Birmaher B, Phillips ML. Altered amygdala-prefrontal response to facial emotion in offspring of parents with bipolar disorder. Brain 2015; 138:2777-90. [PMID: 26112339 DOI: 10.1093/brain/awv176] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2014] [Accepted: 04/26/2015] [Indexed: 12/23/2022] Open
Abstract
This study aimed to identify neuroimaging measures associated with risk for, or protection against, bipolar disorder by comparing youth offspring of parents with bipolar disorder versus youth offspring of non-bipolar parents versus offspring of healthy parents in (i) the magnitude of activation within emotional face processing circuitry; and (ii) functional connectivity between this circuitry and frontal emotion regulation regions. The study was conducted at the University of Pittsburgh Medical Centre. Participants included 29 offspring of parents with bipolar disorder (mean age = 13.8 years; 14 females), 29 offspring of non-bipolar parents (mean age = 13.8 years; 12 females) and 23 healthy controls (mean age = 13.7 years; 11 females). Participants were scanned during implicit processing of emerging happy, sad, fearful and angry faces and shapes. The activation analyses revealed greater right amygdala activation to emotional faces versus shapes in offspring of parents with bipolar disorder and offspring of non-bipolar parents than healthy controls. Given that abnormally increased amygdala activation during emotion processing characterized offspring of both patient groups, and that abnormally increased amygdala activation has often been reported in individuals with already developed bipolar disorder and those with major depressive disorder, these neuroimaging findings may represent markers of increased risk for affective disorders in general. The analysis of psychophysiological interaction revealed that offspring of parents with bipolar disorder showed significantly more negative right amygdala-anterior cingulate cortex functional connectivity to emotional faces versus shapes, but significantly more positive right amygdala-left ventrolateral prefrontal cortex functional connectivity to happy faces (all P-values corrected for multiple tests) than offspring of non-bipolar parents and healthy controls. Taken together with findings of increased amygdala-ventrolateral prefrontal cortex functional connectivity, and decreased amygdala-anterior cingulate cortex functional connectivity previously shown in individuals with bipolar disorder, these connectivity patterns in offspring of parents with bipolar disorder may be risk markers for, rather than markers conferring protection against, bipolar disorder in youth. The patterns of activation and functional connectivity remained unchanged after removing medicated participants and those with current psychopathology from analyses. This is the first study to demonstrate that abnormal functional connectivity patterns within face emotion processing circuitry distinguish offspring of parents with bipolar disorder from those of non-bipolar parents and healthy controls.
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Affiliation(s)
- Anna Manelis
- 1 Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Cecile D Ladouceur
- 1 Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Simona Graur
- 1 Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Kelly Monk
- 1 Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Lisa K Bonar
- 1 Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Mary Beth Hickey
- 1 Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Amanda C Dwojak
- 1 Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - David Axelson
- 2 Department of Psychiatry, Nationwide Children's Hospital and The Ohio State College of Medicine, Columbus, Ohio, USA
| | - Benjamin I Goldstein
- 3 Department of Psychiatry, Sunnybrook Health Sciences Centre, University of Toronto, Faculty of Medicine, Toronto, Ontario, Canada
| | - Tina R Goldstein
- 1 Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Genna Bebko
- 1 Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Michele A Bertocci
- 1 Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Danella M Hafeman
- 1 Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Mary Kay Gill
- 1 Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Boris Birmaher
- 1 Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Mary L Phillips
- 1 Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
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48
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Versace A, Acuff H, Bertocci MA, Bebko G, Almeida JRC, Perlman SB, Leemans A, Schirda C, Aslam H, Dwojak A, Bonar L, Travis M, Gill MK, Demeter C, Diwadkar VA, Sunshine JL, Holland SK, Kowatch RA, Birmaher B, Axelson D, Horwitz SM, Frazier TW, Arnold LE, Fristad MA, Youngstrom EA, Findling RL, Phillips ML. White matter structure in youth with behavioral and emotional dysregulation disorders: a probabilistic tractographic study. JAMA Psychiatry 2015; 72:367-76. [PMID: 25715064 PMCID: PMC4415624 DOI: 10.1001/jamapsychiatry.2014.2170] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
IMPORTANCE Psychiatric disorders in youth characterized by behavioral and emotional dysregulation are often comorbid and difficult to distinguish. An alternative approach to conceptualizing these disorders is to move toward a diagnostic system based on underlying pathophysiologic processes that may cut across conventionally defined diagnoses. Neuroimaging techniques have potentials for the identification of these processes. OBJECTIVE To determine whether diffusion imaging, a neuroimaging technique examining white matter (WM) structure, can identify neural correlates of emotional dysregulation in a sample of youth with different psychiatric disorders characterized by behavioral and emotional dysregulation. DESIGN, SETTING, AND PARTICIPANTS Using global probabilistic tractography, we examined relationships between WM structure in key tracts in emotional regulation circuitry (ie, cingulum, uncinate fasciculus, and forceps minor) and (1) broader diagnostic categories of behavioral and emotional dysregulation disorders (DDs) and (2) symptom dimensions cutting across conventional diagnoses in 120 youth with behavioral and/or emotional DDs, a referred sample of the Longitudinal Assessment of Manic Symptoms (LAM) study. Thirty age- and sex-matched typically developing youth (control participants) were included. Multivariate multiple regression models were used. The study was conducted from July 1, 2010, to February 28, 2014. MAIN OUTCOMES AND MEASURES Fractional anisotropy as well as axial and radial diffusivity were estimated and imported into a well-established statistical package. We hypothesized that (1) youth with emotional DDs and those with both behavioral and emotional DDs would show significantly lower fractional anisotropy compared with youth with behavioral DDs in these WM tracts and (2) that there would be significant inverse relationships between dimensional measures of affective symptom severity and fractional anisotropy in these tracts across all participants. RESULTS Multivariate multiple regression analyses revealed decreased fractional anisotropy and decreased axial diffusivity within the uncinate fasciculus in youth with emotional DDs vs those with behavioral DDs, those with both DDs, and the controls (F6,160 = 2.4; P = .032; all pairwise comparisons, P < .002). In the same model, greater severity of manic symptoms was positively associated with higher fractional anisotropy across all affected youth (F3,85 = 2.8; P = .044). CONCLUSIONS AND RELEVANCE These findings suggest that abnormal uncinate fasciculus and cingulum WM structure may underlie emotional, but not behavioral, dysregulation in pediatric psychiatric disorders and that a different neural mechanism may exist for comorbid emotional and behavioral DDs.
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Affiliation(s)
- Amelia Versace
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh
| | - Heather Acuff
- Medical Science Training Program, University of Pittsburgh School of Medicine
| | - Michele A. Bertocci
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh
| | - Genna Bebko
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh
| | - Jorge R. C. Almeida
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh
| | - Susan B. Perlman
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh
| | - Alexander Leemans
- Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Claudiu Schirda
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh
| | - Haris Aslam
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh
| | - Amanda Dwojak
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh
| | - Lisa Bonar
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh
| | - Michael Travis
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh
| | - Mary Kay Gill
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh
| | - Christine Demeter
- University Hospitals Case Medical Center/Case Western Reserve University
| | - Vaibhav A. Diwadkar
- Department of Psychiatry and Behavioral Neuroscience, Wayne State University
| | | | - Scott K Holland
- Cincinnati Children's Hospital Medical Center, University of Cincinnati
| | | | - Boris Birmaher
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh
| | | | - Sarah M. Horwitz
- Department of Child and Adolescent Psychiatry, New York University School of Medicine
| | | | | | | | | | - Robert L. Findling
- University Hospitals Case Medical Center/Case Western Reserve University.,Department of Psychiatry, Johns Hopkins University
| | - Mary L. Phillips
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh
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49
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Bebko G, Bertocci M, Chase H, Dwojak A, Bonar L, Almeida J, Perlman SB, Versace A, Schirda C, Travis M, Gill MK, Demeter C, Diwadka V, Sunshine J, Holland S, Kowatch R, Birmaher B, Axelson D, Horwitz S, Frazier T, Arnold LE, Fristad M, Youngstrom E, Findling R, Phillips ML. Decreased amygdala-insula resting state connectivity in behaviorally and emotionally dysregulated youth. Psychiatry Res 2015; 231:77-86. [PMID: 25433424 PMCID: PMC4272653 DOI: 10.1016/j.pscychresns.2014.10.015] [Citation(s) in RCA: 52] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2014] [Revised: 09/02/2014] [Accepted: 10/15/2014] [Indexed: 12/21/2022]
Abstract
The Research Domain Criteria (RDoC) adopts a dimensional approach for examining pathophysiological processes underlying categorically defined psychiatric diagnoses. We used this framework to examine relationships among symptom dimensions, diagnostic categories, and resting state connectivity in behaviorally and emotionally dysregulated youth selected from the Longitudinal Assessment of Manic Symptoms study (n=42) and healthy control youth (n=18). Region of interest analyses examined relationships among resting state connectivity, symptom dimensions (behavioral and emotional dysregulation measured with the Parent General Behavior Inventory-10 Item Mania Scale [PGBI-10M]; dimensional severity measures of mania, depression, anxiety), and diagnostic categories (Bipolar Spectrum Disorders, Attention Deficit Hyperactivity Disorder, Anxiety Disorders, and Disruptive Behavior Disorders). After adjusting for demographic variables, two dimensional measures showed significant inverse relationships with resting state connectivity, regardless of diagnosis: 1) PGBI-10M with amygdala-left posterior insula/bilateral putamen; and 2) depressive symptoms with amygdala-right posterior insula connectivity. Diagnostic categories showed no significant relationships with resting state connectivity. Resting state connectivity between amygdala and posterior insula decreased with increasing severity of behavioral and emotional dysregulation and depression; this suggests an intrinsic functional uncoupling of key neural regions supporting emotion processing and regulation. These findings support the RDoC dimensional approach for characterizing pathophysiologic processes that cut across different psychiatric disorders.
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Affiliation(s)
- Genna Bebko
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, Pittsburgh, PA, United States of America.
| | - Michele Bertocci
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, United States of America
| | - Henry Chase
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, United States of America
| | - Amanda Dwojak
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, United States of America
| | - Lisa Bonar
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, United States of America
| | - Jorge Almeida
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, United States of America
| | - Susan Beth Perlman
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, United States of America
| | - Amelia Versace
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, United States of America
| | - Claudiu Schirda
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, United States of America
| | - Michael Travis
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, United States of America
| | - Mary Kay Gill
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, United States of America
| | - Christine Demeter
- University Hospitals Case Medical Center/Case Western Reserve University, Cleveland, Ohio, United States of America
| | - Vaibhav Diwadka
- Department of Psychiatry and Behavioral Neuroscience, Wayne State University, Detroit, Michigan, United States of America
| | - Jeffrey Sunshine
- University Hospitals Case Medical Center/Case Western Reserve University, Cleveland, Ohio, United States of America
| | - Scott Holland
- Cincinnati Children’s Hospital Medical Center, University of Cincinnati, Cincinnati, Ohio, United States of America
| | - Robert Kowatch
- Department of Psychiatry, Ohio State University, Columbus, Ohio, United States of America
| | - Boris Birmaher
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, United States of America
| | - David Axelson
- Department of Psychiatry, Ohio State University, Columbus, Ohio, United States of America
| | - Sarah Horwitz
- Department of Child and Adolescent Psychiatry, New York University School of Medicine, New York, New York, United States of America
| | - Thomas Frazier
- Pediatric Institute, Cleveland Clinic, Cleveland, Ohio, United States of America
| | - Lawrence Eugene Arnold
- Department of Psychiatry, Ohio State University, Columbus, Ohio, United States of America
| | - Mary Fristad
- Department of Psychiatry, Ohio State University, Columbus, Ohio, United States of America
| | - Eric Youngstrom
- Department of Psychology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Robert Findling
- University Hospitals Case Medical Center/Case Western Reserve University, Cleveland, Ohio, United States of America,Department of Psychiatry, Johns Hopkins University, Baltimore, Maryland, United States of America
| | - Mary Louise Phillips
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, United States of America
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50
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Hafeman DM, Bebko G, Bertocci MA, Fournier JC, Bonar L, Perlman SB, Travis M, Gill MK, Diwadkar VA, Sunshine JL, Holland SK, Kowatch RA, Birmaher B, Axelson D, Horwitz SM, Arnold LE, Fristad MA, Frazier TW, Youngstrom EA, Findling RL, Drevets W, Phillips ML. Abnormal deactivation of the inferior frontal gyrus during implicit emotion processing in youth with bipolar disorder: attenuated by medication. J Psychiatr Res 2014; 58:129-36. [PMID: 25151338 PMCID: PMC4381734 DOI: 10.1016/j.jpsychires.2014.07.023] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2014] [Revised: 07/21/2014] [Accepted: 07/24/2014] [Indexed: 12/28/2022]
Abstract
Previous neuroimaging studies of youth with bipolar disorder (BD) have identified abnormalities in emotion regulation circuitry. Using data from the Longitudinal Assessment of Manic Symptoms Cohort (a clinical sample recruited for behavioral and emotional dysregulation), we examined the impact of BD and medication on activation in these regions. Functional neuroimaging data were obtained from 15 youth with BD who currently were unmedicated with a mood stabilizer or antipsychotic (U-BD), 19 youth with medicated BD (M-BD), a non-bipolar clinical sample with high rates of disruptive behavioral disorders (non-BD, n = 59), and 29 healthy controls (HC) while they were shown task-irrelevant morphing emotional faces and shapes. Whole brain analysis was used to identify clusters that showed differential activation to emotion vs. shapes across group. To assess pair-wise comparisons and potential confounders, mean activation data were extracted only from clusters within regions previously implicated in emotion regulation (including amygdala and ventral prefrontal regions). A cluster in the right inferior frontal gyrus (IFG) showed group differences to emotion vs. shapes (159 voxels, corrected p < .05). Within this cluster, U-BD youth showed decreased activation relative to HC (p = .007) and non-BD (p = .004) youth. M-BD also showed decreased activation in this cluster relative to HC and non-BD youth, but these differences were attenuated. Results were specific to negative emotions, and not found with happy faces. IFG findings were not explained by other medications (e.g. stimulants) or diagnoses. Compared to both HC and a non-BD sample, U-BD is associated with abnormally decreased right IFG activation to negative emotions.
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Affiliation(s)
- Danella M Hafeman
- Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh, USA.
| | - Genna Bebko
- Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh, USA
| | - Michele A Bertocci
- Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh, USA
| | - Jay C Fournier
- Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh, USA
| | - Lisa Bonar
- Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh, USA
| | - Susan B Perlman
- Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh, USA
| | - Michael Travis
- Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh, USA
| | - Mary Kay Gill
- Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh, USA
| | | | - Jeffrey L Sunshine
- University Hospitals Case Medical Center/Case Western Reserve University, USA
| | - Scott K Holland
- Cincinnati Children's Hospital Medical Center, University of Cincinnati, USA
| | | | - Boris Birmaher
- Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh, USA
| | | | - Sarah M Horwitz
- Child Psychiatry, New York University School of Medicine, USA
| | | | | | | | | | - Robert L Findling
- University Hospitals Case Medical Center/Case Western Reserve University, USA; Psychiatry, Johns Hopkins University, USA
| | - Wayne Drevets
- Janssen Pharmaceuticals Research & Development of Johnson & Johnson, USA
| | - Mary L Phillips
- Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh, USA; Psychological Medicine, Cardiff University, UK
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