S139. Accelerated Cortical Thinning Within Structural Brain Networks is Associated With Irritability in Youth

[1]  Lucy S. King,et al.  Irritability and brain volume in adolescents: cross-sectional and longitudinal associations , 2019, Social cognitive and affective neuroscience.

[2]  E. Leibenluft,et al.  Brain Mechanisms of Attention Orienting Following Frustration: Associations With Irritability and Age in Youths. , 2019, The American journal of psychiatry.

[3]  M. Weissman,et al.  Statistical harmonization corrects site effects in functional connectivity measurements from multi‐site fMRI data , 2018, Human brain mapping.

[4]  E. Leibenluft,et al.  A Latent Variable Approach to Differentiating Neural Mechanisms of Irritability and Anxiety in Youth , 2018, JAMA psychiatry.

[5]  E. Leibenluft,et al.  Irritability Trajectories, Cortical Thickness, and Clinical Outcomes in a Sample Enriched for Preschool Depression. , 2018, Journal of the American Academy of Child and Adolescent Psychiatry.

[6]  M. Dylan Tisdall,et al.  Quantitative assessment of structural image quality , 2018, NeuroImage.

[7]  Russell T. Shinohara,et al.  Harmonization of cortical thickness measurements across scanners and sites , 2017, NeuroImage.

[8]  Christos Davatzikos,et al.  Benchmarking of participant-level confound regression strategies for the control of motion artifact in studies of functional connectivity , 2017, NeuroImage.

[9]  Karsten Mueller,et al.  Commentary: Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive rates , 2017, Front. Hum. Neurosci..

[10]  Ragini Verma,et al.  Harmonization of multi-site diffusion tensor imaging data , 2017, NeuroImage.

[11]  R. Gur,et al.  Patterns of coordinated cortical remodeling during adolescence and their associations with functional specialization and evolutionary expansion , 2017, Proceedings of the National Academy of Sciences.

[12]  B. Turetsky,et al.  Persistence of psychosis spectrum symptoms in the Philadelphia Neurodevelopmental Cohort: a prospective two‐year follow‐up , 2017, World psychiatry : official journal of the World Psychiatric Association.

[13]  Theodore J. Huppert,et al.  Developmental Cognitive Neuroscience the Neural Substrates of Cognitive Flexibility Are Related to Individual Differences in Preschool Irritability: a Fnirs Investigation , 2022 .

[14]  E. Leibenluft,et al.  Comparing Brain Morphometry Across Multiple Childhood Psychiatric Disorders. , 2016, Journal of the American Academy of Child and Adolescent Psychiatry.

[15]  Hans Knutsson,et al.  Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive rates , 2016, Proceedings of the National Academy of Sciences.

[16]  E. Leibenluft,et al.  Neural Correlates of Irritability in Disruptive Mood Dysregulation and Bipolar Disorders. , 2016, The American journal of psychiatry.

[17]  Mark A. Elliott,et al.  The Philadelphia Neurodevelopmental Cohort: A publicly available resource for the study of normal and abnormal brain development in youth , 2016, NeuroImage.

[18]  Kosha Ruparel,et al.  The Philadelphia Neurodevelopmental Cohort: constructing a deep phenotyping collaborative. , 2015, Journal of child psychology and psychiatry, and allied disciplines.

[19]  Ellen M. Kessel,et al.  Preschool irritability predicts child psychopathology, functional impairment, and service use at age nine. , 2015, Journal of child psychology and psychiatry, and allied disciplines.

[20]  Joel L. Voss,et al.  Clinical Implications of a Dimensional Approach: The Normal:Abnormal Spectrum of Early Irritability. , 2015, Journal of the American Academy of Child and Adolescent Psychiatry.

[21]  Christos Davatzikos,et al.  Finding imaging patterns of structural covariance via Non-Negative Matrix Factorization , 2015, NeuroImage.

[22]  Tyrone D. Cannon,et al.  Progressive Reduction in Cortical Thickness as Psychosis Develops: A Multisite Longitudinal Neuroimaging Study of Youth at Elevated Clinical Risk , 2015, Biological Psychiatry.

[23]  Arno Klein,et al.  Large-scale evaluation of ANTs and FreeSurfer cortical thickness measurements , 2014, NeuroImage.

[24]  Kosha Ruparel,et al.  The psychosis spectrum in a young U.S. community sample: findings from the Philadelphia Neurodevelopmental Cohort , 2014, World psychiatry : official journal of the World Psychiatric Association.

[25]  T. Insel,et al.  A Neurodevelopmental Perspective on the Research Domain Criteria (RDoC) Framework , 2014, Biological Psychiatry.

[26]  B. Tonge,et al.  Psychometric properties of the affective reactivity index in Australian adults and adolescents. , 2014, Psychological assessment.

[27]  Christos Davatzikos,et al.  Neuroimaging of the Philadelphia Neurodevelopmental Cohort , 2014, NeuroImage.

[28]  Beatriz Luna,et al.  fNIRS evidence of prefrontal regulation of frustration in early childhood , 2014, NeuroImage.

[29]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[30]  E. Leibenluft,et al.  Neural mechanisms of frustration in chronically irritable children. , 2013, The American journal of psychiatry.

[31]  E. Bullmore,et al.  Imaging structural co-variance between human brain regions , 2013, Nature Reviews Neuroscience.

[32]  E. Leibenluft,et al.  The Affective Reactivity Index: a concise irritability scale for clinical and research settings , 2012, Journal of child psychology and psychiatry, and allied disciplines.

[33]  E. Leibenluft,et al.  Cross-sectional and longitudinal abnormalities in brain structure in children with severe mood dysregulation or bipolar disorder. , 2012, Journal of child psychology and psychiatry, and allied disciplines.

[34]  Nanyin Zhang,et al.  Amygdala–orbitofrontal resting‐state functional connectivity is associated with trait anger , 2012, Neuroreport.

[35]  Kimberley D. Lakes,et al.  Categorical and Dimensional Definitions and Evaluations of Symptoms of ADHD: History of the SNAP and the SWAN Rating Scales. , 2012, The International journal of educational and psychological assessment.

[36]  E. Leibenluft,et al.  Neural recruitment during failed motor inhibition differentiates youths with bipolar disorder and severe mood dysregulation , 2012, Biological Psychology.

[37]  A. Beck,et al.  Beck Depression Inventory–II , 2011 .

[38]  Ellen Leibenluft,et al.  Severe mood dysregulation, irritability, and the diagnostic boundaries of bipolar disorder in youths. , 2011, The American journal of psychiatry.

[39]  Arno Klein,et al.  A reproducible evaluation of ANTs similarity metric performance in brain image registration , 2011, NeuroImage.

[40]  Efstathios D. Gennatas,et al.  Network-level structural covariance in the developing brain , 2010, Proceedings of the National Academy of Sciences.

[41]  T. Insel,et al.  Wesleyan University From the SelectedWorks of Charles A . Sanislow , Ph . D . 2010 Research Domain Criteria ( RDoC ) : Toward a New Classification Framework for Research on Mental Disorders , 2018 .

[42]  Satrajit S. Ghosh,et al.  Evaluation of volume-based and surface-based brain image registration methods , 2010, NeuroImage.

[43]  Erkki Oja,et al.  Linear and Nonlinear Projective Nonnegative Matrix Factorization , 2010, IEEE Transactions on Neural Networks.

[44]  Brian B. Avants,et al.  N4ITK: Improved N3 Bias Correction , 2010, IEEE Transactions on Medical Imaging.

[45]  E. Leibenluft,et al.  Pediatric bipolar disorder versus severe mood dysregulation: risk for manic episodes on follow-up. , 2010, Journal of the American Academy of Child and Adolescent Psychiatry.

[46]  A. Reiss,et al.  Neural correlates of response inhibition in pediatric bipolar disorder. , 2010, Journal of child and adolescent psychopharmacology.

[47]  Daniel S Pine,et al.  Amygdala activation during emotion processing of neutral faces in children with severe mood dysregulation versus ADHD or bipolar disorder. , 2010, The American journal of psychiatry.

[48]  E. Leibenluft,et al.  Youth meeting symptom and impairment criteria for mania-like episodes lasting less than four days: an epidemiological enquiry. , 2010, Journal of child psychology and psychiatry, and allied disciplines.

[49]  E. Leibenluft,et al.  Adult outcomes of youth irritability: a 20-year prospective community-based study. , 2009, The American journal of psychiatry.

[50]  Brian B. Avants,et al.  Registration based cortical thickness measurement , 2009, NeuroImage.

[51]  T. Paus,et al.  Why do many psychiatric disorders emerge during adolescence? , 2008, Nature Reviews Neuroscience.

[52]  Christos Boutsidis,et al.  SVD based initialization: A head start for nonnegative matrix factorization , 2008, Pattern Recognit..

[53]  J. Luby,et al.  Temper tantrums in healthy versus depressed and disruptive preschoolers: defining tantrum behaviors associated with clinical problems. , 2008, The Journal of pediatrics.

[54]  G. Logan,et al.  Converging Evidence for a Fronto-Basal-Ganglia Network for Inhibitory Control of Action and Cognition , 2007, The Journal of Neuroscience.

[55]  Monique Ernst,et al.  Specificity of facial expression labeling deficits in childhood psychopathology. , 2007, Journal of child psychology and psychiatry, and allied disciplines.

[56]  Paul M. Thompson,et al.  Sexual dimorphism of brain developmental trajectories during childhood and adolescence , 2007, NeuroImage.

[57]  Cheng Li,et al.  Adjusting batch effects in microarray expression data using empirical Bayes methods. , 2007, Biostatistics.

[58]  E. Leibenluft,et al.  Prevalence, Clinical Correlates, and Longitudinal Course of Severe Mood Dysregulation in Children , 2006, Biological Psychiatry.

[59]  E. Leibenluft,et al.  Chronic versus episodic irritability in youth: a community-based, longitudinal study of clinical and diagnostic associations. , 2006, Journal of child and adolescent psychopharmacology.

[60]  M. Kringelbach.  The human orbitofrontal cortex: linking reward to hedonic experience , 2005, Nature Reviews Neuroscience.

[61]  S. Faraone,et al.  Further evidence of unique developmental phenotypic correlates of pediatric bipolar disorder: findings from a large sample of clinically referred preadolescent children assessed over the last 7 years. , 2004, Journal of affective disorders.

[62]  M. First,et al.  The Structured Clinical Interview for DSM-IV Axis I Disorders (SCID-I) and the Structured Clinical Interview for DSM-IV Axis II Disorders (SCID-II). , 2004 .

[63]  R. J Dolan,et al.  Common and distinct neural responses during direct and incidental processing of multiple facial emotions , 2003, NeuroImage.

[64]  E. Leibenluft,et al.  Defining clinical phenotypes of juvenile mania. , 2003, The American journal of psychiatry.

[65]  Godfrey D Pearlson,et al.  Prodromal assessment with the structured interview for prodromal syndromes and the scale of prodromal symptoms: predictive validity, interrater reliability, and training to reliability. , 2003, Schizophrenia bulletin.

[66]  S. Wood,et al.  GAMs with integrated model selection using penalized regression splines and applications to environmental modelling , 2002 .

[67]  David C. Van Essen,et al.  Application of Information Technology: An Integrated Software Suite for Surface-based Analyses of Cerebral Cortex , 2001, J. Am. Medical Informatics Assoc..

[68]  L. Wakschlag,et al.  More than the Terrible Twos: The Nature and Severity of Behavior Problems in Clinic-Referred Preschool Children , 2000, Journal of abnormal child psychology.

[69]  Alan C. Evans,et al.  Brain development during childhood and adolescence: a longitudinal MRI study , 1999, Nature Neuroscience.

[70]  N. Ryan,et al.  Schedule for Affective Disorders and Schizophrenia for School-Age Children-Present and Lifetime Version (K-SADS-PL): initial reliability and validity data. , 1997, Journal of the American Academy of Child and Adolescent Psychiatry.

[71]  Sandra M. Neer,et al.  The Screen for Child Anxiety Related Emotional Disorders (SCARED): scale construction and psychometric characteristics. , 1997, Journal of the American Academy of Child and Adolescent Psychiatry.

[72]  G. V. Goddard.  FUNCTIONS OF THE AMYGDALA. , 1964, Psychological bulletin.