Brain-behaviour modes of covariation in healthy and clinically depressed young people
暂无分享,去创建一个
Michael Moutoussis | Peter Fonagy | Edward T. Bullmore | Petra E. Vértes | František Váša | Gabriel Ziegler | Manfred G. Kitzbichler | João M. Monteiro | Raymond J. Dolan | Matilde M. Vaghi | Peter B. Jones | Janaina Mourao-Miranda | Rafael Romero-Garcia | Agoston Mihalik | Maria Joao Rosa | Fabio S. Ferreira | R. Dolan | E. Bullmore | P. Vértes | M. Kitzbichler | M. Moutoussis | J. Mourão-Miranda | M. J. Rosa | Ágoston Mihalik | F. Váša | P. Fonagy | I. Goodyer | M. Vaghi | G. Ziegler | L. Portugal | Rick A. Adams | R. Adams | Liana C. L. Portugal | Ian Michael Goodyer | R. Romero-García | J. Monteiro
[1] Won Hee Lee,et al. Multivariate Associations Among Behavioral, Clinical, and Multimodal Imaging Phenotypes in Patients With Psychosis , 2018, JAMA psychiatry.
[2] L. Spear,et al. Effects of adolescent alcohol consumption on the brain and behaviour , 2018, Nature Reviews Neuroscience.
[3] Michael Moutoussis,et al. Cohort Profile Cohort profile : The NSPN 2400 Cohort : a developmental sample supporting the Wellcome Trust NeuroScience in Psychiatry Network , 2017 .
[4] N. Volkow,et al. The conception of the ABCD study: From substance use to a broad NIH collaboration , 2017, Developmental Cognitive Neuroscience.
[5] Richard F. Betzel,et al. Linked dimensions of psychopathology and connectivity in functional brain networks , 2017, bioRxiv.
[6] Zachary S. Lorsch,et al. Sex-specific transcriptional signatures in human depression , 2017, Nature Medicine.
[7] Michael Moutoussis,et al. The NSPN 2400 Cohort: a developmental sample supporting the Wellcome Trust Neuroscience in Psychiatry Network , 2017 .
[8] Harlan M. Krumholz,et al. Reevaluating the Efficacy and Predictability of Antidepressant Treatments: A Symptom Clustering Approach , 2017, JAMA psychiatry.
[9] Andrew T. Drysdale,et al. Resting-state connectivity biomarkers define neurophysiological subtypes of depression , 2016, Nature Medicine.
[10] John Shawe-Taylor,et al. A multiple hold-out framework for Sparse Partial Least Squares , 2016, Journal of Neuroscience Methods.
[11] Jesper Andersson,et al. A multi-modal parcellation of human cerebral cortex , 2016, Nature.
[12] Adriana Galván,et al. Beyond simple models of adolescence to an integrated circuit-based account: A commentary , 2015, Developmental Cognitive Neuroscience.
[13] D. Pizzagalli,et al. Corticostriatal pathways contribute to the natural time course of positive mood , 2015, Nature Communications.
[14] Thomas E. Nichols,et al. A positive-negative mode of population covariation links brain connectivity, demographics and behavior , 2015, Nature Neuroscience.
[15] Cory M. Simon,et al. Correction: Corrigendum: Kinetically tuned dimensional augmentation as a versatile synthetic route towards robust metal–organic frameworks , 2015, Nature Communications.
[16] R. Kümmerli,et al. Quorum sensing triggers the stochastic escape of individual cells from Pseudomonas putida biofilms , 2015, Nature Communications.
[17] B. Casey. Beyond simple models of self-control to circuit-based accounts of adolescent behavior. , 2015, Annual review of psychology.
[18] Monique Ernst,et al. Robust resting state fMRI processing for studies on typical brain development based on multi-echo EPI acquisition , 2014, Brain Imaging and Behavior.
[19] Jay N. Giedd,et al. Adolescent mental health—Opportunity and obligation , 2014, Science.
[20] S. Hedden,et al. Substance Use and Mental Health Estimates from the 2013 National Survey on Drug Use and Health: Overview of Findings , 2014 .
[21] Thomas E. Nichols,et al. Functional connectomics from resting-state fMRI , 2013, Trends in Cognitive Sciences.
[22] Noah D. Brenowitz,et al. Integrated strategy for improving functional connectivity mapping using multiecho fMRI , 2013, Proceedings of the National Academy of Sciences.
[23] Yong He,et al. BrainNet Viewer: A Network Visualization Tool for Human Brain Connectomics , 2013, PloS one.
[24] Nikolaus Weiskopf,et al. Quantitative multi-parameter mapping of R1, PD*, MT, and R2* at 3T: a multi-center validation , 2013, Front. Neurosci..
[25] A. McIntosh,et al. Multivariate statistical analyses for neuroimaging data. , 2013, Annual review of psychology.
[26] A. Meyer-Lindenberg,et al. Psychopathology and the Human Connectome: Toward a Transdiagnostic Model of Risk For Mental Illness , 2012, Neuron.
[27] Abraham Z. Snyder,et al. Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion , 2012, NeuroImage.
[28] P. Conrod,et al. Personality and Substance Misuse: Evidence for a Four-Factor Model of Vulnerability , 2012 .
[29] V. Menon. Large-scale brain networks and psychopathology: a unifying triple network model , 2011, Trends in Cognitive Sciences.
[30] Marisa O. Hollinshead,et al. The organization of the human cerebral cortex estimated by intrinsic functional connectivity. , 2011, Journal of neurophysiology.
[31] Christian E. Waugh,et al. Cogn Affect Behav Neurosci (2011) 11:85–96 , 2010 .
[32] Nikolaus Weiskopf,et al. Unified segmentation based correction of R1 brain maps for RF transmit field inhomogeneities (UNICORT) , 2011, NeuroImage.
[33] Mark W. Woolrich,et al. Network modelling methods for FMRI , 2011, NeuroImage.
[34] Emily L. Dennis,et al. Neural correlates of rumination in depression , 2010, Cognitive, affective & behavioral neuroscience.
[35] 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 .
[36] E. Bullmore,et al. Human brain networks in health and disease , 2009, Current opinion in neurology.
[37] Daniela M Witten,et al. Extensions of Sparse Canonical Correlation Analysis with Applications to Genomic Data , 2009, Statistical applications in genetics and molecular biology.
[38] P. Dechent,et al. High‐resolution maps of magnetization transfer with inherent correction for RF inhomogeneity and T1 relaxation obtained from 3D FLASH MRI , 2008, Magnetic resonance in medicine.
[39] T. Paus,et al. Why do many psychiatric disorders emerge during adolescence? , 2008, Nature Reviews Neuroscience.
[40] I. Waldman,et al. Psychometric Characteristics of a Measure of Emotional Dispositions Developed to Test a Developmental Propensity Model of Conduct Disorder , 2008, Journal of clinical child and adolescent psychology : the official journal for the Society of Clinical Child and Adolescent Psychology, American Psychological Association, Division 53.
[41] T. Hare,et al. The Adolescent Brain , 2008, Annals of the New York Academy of Sciences.
[42] P. Dechent,et al. Quantitative FLASH MRI at 3T using a rational approximation of the Ernst equation , 2008, Magnetic resonance in medicine.
[43] W. Stuart. Review of recent literature , 2008, American Potato Journal.
[44] L. Hiller,et al. The Warwick-Edinburgh Mental Well-being Scale (WEMWBS): development and UK validation , 2007, Health and quality of life outcomes.
[45] T. B. Üstün,et al. Age of onset of mental disorders: a review of recent literature , 2007, Current opinion in psychiatry.
[46] Cecilia A. Essau,et al. Callous-Unemotional Traits in a Community Sample of Adolescents , 2006, Assessment.
[47] C. Neumann,et al. The Antisocial Process Screening Device , 2003, Assessment.
[48] I. Goodyer,et al. Development of a short leyton obsessional inventory for children and adolescents. , 2002, Journal of the American Academy of Child and Adolescent Psychiatry.
[49] R. Kessler,et al. Short screening scales to monitor population prevalences and trends in non-specific psychological distress , 2002, Psychological Medicine.
[50] B. Axelrod. Validity of the Wechsler Abbreviated Scale of Intelligence and Other Very Short Forms of Estimating Intellectual Functioning , 2002, Assessment.
[51] A. Dale,et al. Whole Brain Segmentation Automated Labeling of Neuroanatomical Structures in the Human Brain , 2002, Neuron.
[52] Charles S. Carver,et al. Action, Emotion, and Personality: Emerging Conceptual Integration , 2000 .
[53] Anders M. Dale,et al. Cortical Surface-Based Analysis I. Segmentation and Surface Reconstruction , 1999, NeuroImage.
[54] J. Patton,et al. Factor structure of the Barratt impulsiveness scale. , 1995, Journal of clinical psychology.
[55] M. Lovejoy,et al. Initial reliability and validity of the childhood trauma interview: a new multidimensional measure of childhood interpersonal trauma. , 1995, The American journal of psychiatry.
[56] A. Raine. The SPQ: a scale for the assessment of schizotypal personality based on DSM-III-R criteria. , 1991, Schizophrenia bulletin.
[57] D. Brent,et al. Comorbidity of substance abuse and other psychiatric disorders in adolescents. , 1989, The American journal of psychiatry.
[58] E. Costello,et al. Scales to assess child and adolescent depression: checklists, screens, and nets. , 1988, Journal of the American Academy of Child and Adolescent Psychiatry.
[59] A. Alterman. Substance Abuse and Psychopathology , 1985 .
[60] J. Farquhar,et al. With commentary , 1980, Archives of disease in childhood.
[61] C. Reynolds,et al. What i think and feel: A revised measure of children's manifest anxiety , 1978, Journal of abnormal child psychology.
[62] D. J. Lee. Society and the Adolescent Self-Image , 1969 .
[63] H. Hotelling. Relations Between Two Sets of Variates , 1936 .