Cortical thickness predicts the first onset of major depression in adolescence
暂无分享,去创建一个
Paul M. Thompson | Gautam Prasad | Matthew D. Sacchet | Ian H. Gotlib | Lara C. Foland-Ross | P. Thompson | I. Gotlib | M. Sacchet | L. Foland-Ross | Gautam Prasad | Brooke Gilbert | Brooke L Gilbert | P. Thompson | P. Thompson
[1] D. Kupfer,et al. Anatomic evaluation of the orbitofrontal cortex in major depressive disorder , 2004, Biological Psychiatry.
[2] J. P. Hamilton,et al. Meta-analysis of Functional Neuroimaging of Major Depressive Disorder in Youth. , 2015, JAMA psychiatry.
[3] C. Frith,et al. Meeting of minds: the medial frontal cortex and social cognition , 2006, Nature Reviews Neuroscience.
[4] Anderson M. Winkler,et al. Cortical thickness or grey matter volume? The importance of selecting the phenotype for imaging genetics studies , 2010, NeuroImage.
[5] André J. W. van der Kouwe,et al. Detection of cortical thickness correlates of cognitive performance: Reliability across MRI scan sessions, scanners, and field strengths , 2008, NeuroImage.
[6] D. Pizzagalli,et al. Depression, stress, and anhedonia: toward a synthesis and integrated model. , 2014, Annual review of clinical psychology.
[7] B. Pakkenberg,et al. Neocortical neuron number in humans: Effect of sex and age , 1997, The Journal of comparative neurology.
[8] S. Lawrie,et al. Cortical Thickness in Individuals at High Familial Risk of Mood Disorders as They Develop Major Depressive Disorder , 2015, Biological Psychiatry.
[9] N. Jaworska,et al. Cortical thickness in youth with major depressive disorder , 2014, BMC Psychiatry.
[10] Yoshifumi Watanabe,et al. Gray matter volume and rapid decision-making in major depressive disorder , 2014, Progress in Neuro-Psychopharmacology and Biological Psychiatry.
[11] Janet B W Williams. Diagnostic and Statistical Manual of Mental Disorders , 2013 .
[12] Yi-Min Huang,et al. Weighted support vector machine for classification with uneven training class sizes , 2005, 2005 International Conference on Machine Learning and Cybernetics.
[13] Dc Washington. Diagnostic and Statistical Manual of Mental Disorders, 4th Ed. , 1994 .
[14] Benedetto Vitiello,et al. Fluoxetine, cognitive-behavioral therapy, and their combination for adolescents with depression: Treatment for Adolescents With Depression Study (TADS) randomized controlled trial. , 2004, JAMA.
[15] Myrna M. Weissman,et al. Offspring of Depressed Parents , 2016 .
[16] D. Barch,et al. Anterior insula volume and guilt: neurobehavioral markers of recurrence after early childhood major depressive disorder. , 2015, JAMA psychiatry.
[17] P. Gorwood. Neurobiological mechanisms of anhedonia , 2008, Dialogues in clinical neuroscience.
[18] I. Gotlib,et al. Neural markers of familial risk for depression: An investigation of cortical thickness abnormalities in healthy adolescent daughters of mothers with recurrent depression. , 2015, Journal of abnormal psychology.
[19] Christopher G. Davey,et al. Functional brain imaging studies of youth depression: A systematic review☆ , 2013, NeuroImage: Clinical.
[20] M. Phillips,et al. Brain morphometric biomarkers distinguishing unipolar and bipolar depression. A voxel-based morphometry-pattern classification approach. , 2014, JAMA psychiatry.
[21] Nathalie Japkowicz,et al. The class imbalance problem: A systematic study , 2002, Intell. Data Anal..
[22] I. Gotlib,et al. Reduced sleep quality in healthy girls at risk for depression , 2012, Journal of sleep research.
[23] Anders M. Dale,et al. Cortical Surface-Based Analysis I. Segmentation and Surface Reconstruction , 1999, NeuroImage.
[24] P. Nakonezny,et al. Symptom improvement and residual symptoms during acute antidepressant treatment in pediatric major depressive disorder. , 2010, Journal of child and adolescent psychopharmacology.
[25] S. Lui,et al. Regional increases of cortical thickness in untreated, first-episode major depressive disorder , 2014, Translational Psychiatry.
[26] P. Lewinsohn,et al. Treatment of adolescent depression: Frequency of services and impact on functioning in young adulthood , 1998, Depression and anxiety.
[27] T. Suslow,et al. Discriminating unipolar and bipolar depression by means of fMRI and pattern classification: a pilot study , 2013, European Archives of Psychiatry and Clinical Neuroscience.
[28] M. Weissman,et al. Cortical thinning in persons at increased familial risk for major depression , 2009, Proceedings of the National Academy of Sciences.
[29] P. Lewinsohn,et al. Major depression in community adolescents: age at onset, episode duration, and time to recurrence. , 1994, Journal of the American Academy of Child and Adolescent Psychiatry.
[30] T. Vos,et al. Global burden of disease attributable to mental and substance use disorders: findings from the Global Burden of Disease Study 2010 , 2013, The Lancet.
[31] E. Gordon,et al. Widespread reductions in gray matter volume in depression☆ , 2013, NeuroImage: Clinical.
[32] 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.
[33] T. Singer,et al. The role of anterior insular cortex in social emotions , 2010, Brain Structure and Function.
[34] M M Weissman,et al. Offspring of depressed parents. 10 Years later. , 1997, Archives of general psychiatry.
[35] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[36] E. Rolls,et al. The Orbitofrontal Cortex , 2019 .
[37] K. Merikangas,et al. Lifetime prevalence of mental disorders in U.S. adolescents: results from the National Comorbidity Survey Replication--Adolescent Supplement (NCS-A). , 2010, Journal of the American Academy of Child and Adolescent Psychiatry.
[38] Anil K. Jain,et al. Small Sample Size Effects in Statistical Pattern Recognition: Recommendations for Practitioners , 1991, IEEE Trans. Pattern Anal. Mach. Intell..
[39] Alex S. Taylor,et al. Machine intelligence , 2009, CHI.
[40] Heikki Lyytinen,et al. Maternal history of reading difficulty is associated with reduced language-related gray matter in beginning readers , 2012, NeuroImage.
[41] Indira Tendolkar,et al. Paralimbic cortical thickness in first-episode depression: evidence for trait-related differences in mood regulation. , 2013, The American journal of psychiatry.
[42] Gerty J. L. M. Lensvelt-Mulders,et al. Brain volume abnormalities in major depressive disorder: A meta‐analysis of magnetic resonance imaging studies , 2009, Human brain mapping.
[43] Ron Kohavi,et al. A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection , 1995, IJCAI.
[44] Lisa Talbot,et al. Biased processing of emotional information in girls at risk for depression. , 2007, Journal of abnormal psychology.
[45] V. Menon,et al. Saliency, switching, attention and control: a network model of insula function , 2010, Brain Structure and Function.
[46] J. Parker,et al. The Multidimensional Anxiety Scale for Children (MASC): factor structure, reliability, and validity. , 1997, Journal of the American Academy of Child and Adolescent Psychiatry.
[47] H. Möller,et al. Depression-related variation in brain morphology over 3 years: effects of stress? , 2008, Archives of general psychiatry.
[48] Eric Vermetten,et al. Reduced volume of orbitofrontal cortex in major depression , 2002, Biological Psychiatry.
[49] S. Nolen-Hoeksema,et al. Gender Differences in Depression , 2001 .
[50] R. Kessler,et al. Mood disorders in children and adolescents: an epidemiologic perspective , 2001, Biological Psychiatry.
[51] Anders M. Dale,et al. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest , 2006, NeuroImage.
[52] Rainer Goebel,et al. Combining multivariate voxel selection and support vector machines for mapping and classification of fMRI spatial patterns , 2008, NeuroImage.
[53] S. Collishaw,et al. ‘The risks of playing it safe’: a prospective longitudinal study of response to reward in the adolescent offspring of depressed parents , 2012, Psychological Medicine.
[54] Michael J. Kovacs. Children’s Depression Inventory , 2014 .
[55] Olga V. Demler,et al. The epidemiology of major depressive disorder: results from the National Comorbidity Survey Replication (NCS-R). , 2003, JAMA.
[56] Richard M Glass,et al. Fluoxetine, cognitive-behavioral therapy, and their combination for adolescents with depression: Treatment for Adolescents with Depression Study (TADS) randomized controlled trial. , 2005, The Journal of pediatrics.
[57] A. Dale,et al. Thinning of the cerebral cortex in aging. , 2004, Cerebral cortex.
[58] G Kishi,et al. Reliability and Validity , 1999 .
[59] E. Walker,et al. Diagnostic and Statistical Manual of Mental Disorders , 2013 .
[60] A. Mechelli,et al. Using Support Vector Machine to identify imaging biomarkers of neurological and psychiatric disease: A critical review , 2012, Neuroscience & Biobehavioral Reviews.
[61] A. Toga,et al. Abnormal temporal and prefrontal cortical gray matter thinning in psychopaths , 2009, Molecular Psychiatry.
[62] A M Dale,et al. Measuring the thickness of the human cerebral cortex from magnetic resonance images. , 2000, Proceedings of the National Academy of Sciences of the United States of America.
[63] W. Cullen,et al. Research confuses me: what is the difference between case-control and cohort studies in quantitative research? , 2013, Irish medical journal.
[64] Edward E. Smith,et al. A Parametric Study of Prefrontal Cortex Involvement in Human Working Memory , 1996, NeuroImage.
[65] J. P. Hamilton,et al. Neural processing of reward and loss in girls at risk for major depression. , 2010, Archives of general psychiatry.
[66] D. Ruppert. The Elements of Statistical Learning: Data Mining, Inference, and Prediction , 2004 .
[67] M. Brammer,et al. Pattern Classification of Sad Facial Processing: Toward the Development of Neurobiological Markers in Depression , 2008, Biological Psychiatry.
[68] Erin E O'Connor,et al. The prevention of adolescent depression. , 2011, The Psychiatric clinics of North America.
[69] J. Barendregt,et al. Global burden of disease , 1997, The Lancet.
[70] Katherine R. Luking,et al. Brain–behavior relationships in the experience and regulation of negative emotion in healthy children: Implications for risk for childhood depression , 2014, Development and Psychopathology.