scholarly journals 32.1 NEUROPSYCHOLOGICAL PATTERNS ACROSS DISTINCT PSYCHOPATHOLOGY PROFILES IN THE LONGITUDINAL ASSESSMENT OF MANIC SYMPTOMS (LAMS) STUDY

Author(s):  
Thomas Frazier
Author(s):  
Eric Youngstrom ◽  
Boris Birmaher ◽  
Sarah M. Horwitz ◽  
Robert L. Findling ◽  
Mary A. Fristad ◽  
...  

2017 ◽  
Vol 27 (9) ◽  
pp. 2674-2693 ◽  
Author(s):  
Booil Jo ◽  
Robert L Findling ◽  
Trevor J Hastie ◽  
Eric A Youngstrom ◽  
Chen-Pin Wang ◽  
...  

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.


2016 ◽  
Vol 47 (8) ◽  
pp. 1357-1369 ◽  
Author(s):  
M. A. Bertocci ◽  
G. Bebko ◽  
A. Versace ◽  
S. Iyengar ◽  
L. Bonar ◽  
...  

BackgroundIdentifying 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.MethodLASSO 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.ResultsFuture 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%.ConclusionsThese 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.


2012 ◽  
Vol 73 (10) ◽  
pp. 1342-1350 ◽  
Author(s):  
David Axelson ◽  
Robert L. Findling ◽  
Mary A. Fristad ◽  
Robert A. Kowatch ◽  
Eric A. Youngstrom ◽  
...  

2010 ◽  
Vol 71 (11) ◽  
pp. 1511-1517 ◽  
Author(s):  
Sarah McCue Horwitz ◽  
Christine A. Demeter ◽  
Maria E. Pagano ◽  
Eric A. Youngstrom ◽  
Mary A. Fristad ◽  
...  

Author(s):  
Joana Straub ◽  
Ferdinand Keller ◽  
Nina Sproeber ◽  
Michael G. Koelch ◽  
Paul L. Plener

Objective: Research in adults has identified an association between bipolar disorder and suicidal behavior. This relationship, however, has been insufficiently investigated in adolescents to date. Methods: 1,117 adolescents from 13 German schools (mean age = 14.83, SD = .63; 52.7% females) completed an extended German version of the Center for Epidemiological Studies Depression Scale (CES-D), which assesses depressive and manic symptoms during the last week, as well as the Self-Harm Behavior Questionnaire (SHBQ) for the assessment of lifetime suicidal behavior. Results: In the present sample 39.4% of the girls and 23.1% of the boys reported lifetime suicidal thoughts and 7.1% of the girls as well as 3.9% of the boys a lifetime history of suicide attempts. 18.7% of the adolescent sample revealed elevated symptoms of depression and 9% elevated levels of mania symptoms. Elevated sum scores of depression and mania were associated with a higher number of suicidal ideations and suicide attempts. A block-wise regression analysis revealed that sum scores of depression and mania predicted suicidal ideations best. Concerning suicide attempts, the best predictors were age as well as depression and mania sum scores. Conclusions: Suicidal behavior was reported more often when adolescents demonstrate symptoms of mania as well as symptoms of depression than when they demonstrate only depressive symptoms. The presence of bipolar symptoms in adolescents should alert clinicians to the heightened possibility of suicidal behavior.


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