Pubertal maturation and sex effects on the default-mode network connectivity implicated in mood dysregulation

[1]  Jennifer H. Pfeifer,et al.  Neuroscience and Biobehavioral Reviews , 2022 .

[2]  Lara M. Wierenga,et al.  Unraveling age, puberty and testosterone effects on subcortical brain development across adolescence , 2018, Psychoneuroendocrinology.

[3]  Chao Zhang,et al.  Functional connectivity predicts gender: Evidence for gender differences in resting brain connectivity , 2018, Human brain mapping.

[4]  D. Veltman,et al.  Brain functional connectivity patterns in children and adolescents with gender dysphoria: Sex-atypical or not? , 2017, Psychoneuroendocrinology.

[5]  Wesley G. Jennings,et al.  Research Note , 2017 .

[6]  L. Pessoa A Network Model of the Emotional Brain , 2017, Trends in Cognitive Sciences.

[7]  Timothy O. Laumann,et al.  Sources and implications of whole-brain fMRI signals in humans , 2017, NeuroImage.

[8]  N. Allen,et al.  A systematic review of adrenarche as a sensitive period in neurobiological development and mental health , 2016, Developmental Cognitive Neuroscience.

[9]  Natalie L. Colich,et al.  Ruminative brooding is associated with salience network coherence in early pubertal youth , 2016, Social cognitive and affective neuroscience.

[10]  C. Epperson,et al.  Sex as a Biological Variable: Who, What, When, Why, and How , 2017, Neuropsychopharmacology.

[11]  M. Luciana Commentary on the Special Issue on the Adolescent Brain: Incentive-based striving and the adolescent brain , 2016, Neuroscience & Biobehavioral Reviews.

[12]  Nathan D. Cahill,et al.  Sex and Age Effects of Functional Connectivity in Early Adulthood , 2016, Brain Connect..

[13]  Chengge Gao,et al.  Decreased functional connectivity to posterior cingulate cortex in major depressive disorder , 2016, Psychiatry Research: Neuroimaging.

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

[15]  Paul A. Taylor,et al.  AFNI and Clustering: False Positive Rates Redux , 2016, bioRxiv.

[16]  Timothy Verstynen,et al.  Adolescent brain development and depression: A case for the importance of connectivity of the anterior cingulate cortex , 2016, Neuroscience & Biobehavioral Reviews.

[17]  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.

[18]  Murat Yücel,et al.  Brain development during adolescence: A mixed‐longitudinal investigation of cortical thickness, surface area, and volume , 2016, Human brain mapping.

[19]  Christopher G. Davey,et al.  Mapping the self in the brain's default mode network , 2016, NeuroImage.

[20]  Ashley R. Smith,et al.  Developmental Cognitive Neuroscience the Dual Systems Model: Review, Reappraisal, and Reaffirmation , 2022 .

[21]  Marco Antonio Gomes Del'Aquilla,et al.  Default mode network maturation and psychopathology in children and adolescents. , 2016, Journal of child psychology and psychiatry, and allied disciplines.

[22]  M. Koenigs,et al.  Subclinical depression severity is associated with distinct patterns of functional connectivity for subregions of anterior cingulate cortex. , 2015, Journal of psychiatric research.

[23]  M. Rietschel,et al.  Subthreshold depression and regional brain volumes in young community adolescents. , 2015, Journal of the American Academy of Child and Adolescent Psychiatry.

[24]  Peter J. Molfese,et al.  A neural substrate for behavioral inhibition in the risk for major depressive disorder. , 2015, Journal of the American Academy of Child and Adolescent Psychiatry.

[25]  A. Etkin,et al.  The effects of age, sex, and hormones on emotional conflict-related brain response during adolescence , 2015, Brain and Cognition.

[26]  Efstathios D. Gennatas,et al.  Linked Sex Differences in Cognition and Functional Connectivity in Youth. , 2015, Cerebral cortex.

[27]  G. Patton,et al.  Associations between early adrenarche, affective brain function and mental health in children. , 2015, Social cognitive and affective neuroscience.

[28]  M. Raichle The brain's default mode network. , 2015, Annual review of neuroscience.

[29]  Monique Ernst,et al.  fMRI functional connectivity applied to adolescent neurodevelopment. , 2015, Annual review of clinical psychology.

[30]  D. Fair,et al.  Sex differences in the neural substrates of spatial working memory during adolescence are not mediated by endogenous testosterone , 2014, Brain Research.

[31]  Ellen Leibenluft,et al.  Applications of multivariate modeling to neuroimaging group analysis: A comprehensive alternative to univariate general linear model , 2014, NeuroImage.

[32]  M. Ernst The triadic model perspective for the study of adolescent motivated behavior , 2014, Brain and Cognition.

[33]  Todd A. Hare,et al.  The development of human amygdala functional connectivity at rest from 4 to 23years: A cross-sectional study , 2014, NeuroImage.

[34]  Efstathios D. Gennatas,et al.  Impact of puberty on the evolution of cerebral perfusion during adolescence , 2014, Proceedings of the National Academy of Sciences.

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

[36]  Timothy O. Laumann,et al.  Methods to detect, characterize, and remove motion artifact in resting state fMRI , 2014, NeuroImage.

[37]  G J Barker,et al.  White-matter microstructure and gray-matter volumes in adolescents with subthreshold bipolar symptoms , 2013, Molecular Psychiatry.

[38]  A. Galván Neural systems underlying reward and approach behaviors in childhood and adolescence. , 2014, Current topics in behavioral neurosciences.

[39]  M. Phillips,et al.  Neural correlates of dysfunctional emotion regulation in major depressive disorder. A systematic review of neuroimaging studies , 2013, Neuroscience & Biobehavioral Reviews.

[40]  Jonathan D. Power,et al.  Resting state functional connectivity of the ventral attention network in children with a history of depression or anxiety. , 2013, Journal of the American Academy of Child and Adolescent Psychiatry.

[41]  M. Yücel,et al.  Mapping subcortical brain maturation during adolescence: evidence of hemisphere- and sex-specific longitudinal changes. , 2013, Developmental science.

[42]  Sarah-Jayne Blakemore,et al.  Increased functional connectivity with puberty in the mentalising network involved in social emotion processing , 2013, Hormones and Behavior.

[43]  Cédric Lemogne,et al.  Self-Referential Processing, Rumination, and Cortical Midline Structures in Major Depression , 2013, Front. Hum. Neurosci..

[44]  Richard J. Davidson,et al.  Developmental pathways to amygdala-prefrontal function and internalizing symptoms in adolescence , 2012, Nature Neuroscience.

[45]  R. Kessler,et al.  Twelve‐month and lifetime prevalence and lifetime morbid risk of anxiety and mood disorders in the United States , 2012, International journal of methods in psychiatric research.

[46]  Bruce Fischl,et al.  FreeSurfer , 2012, NeuroImage.

[47]  Hang Joon Jo,et al.  Trouble at Rest: How Correlation Patterns and Group Differences Become Distorted After Global Signal Regression , 2012, Brain Connect..

[48]  Sarah-Jayne Blakemore,et al.  The relationship between puberty and social emotion processing , 2012, Archives of Disease in Childhood.

[49]  J. Ford,et al.  Default mode network activity and connectivity in psychopathology. , 2012, Annual review of clinical psychology.

[50]  E. Mohammadi,et al.  Barriers and facilitators related to the implementation of a physiological track and trigger system: A systematic review of the qualitative evidence , 2017, International journal for quality in health care : journal of the International Society for Quality in Health Care.

[51]  Mert R. Sabuncu,et al.  The influence of head motion on intrinsic functional connectivity MRI , 2012, NeuroImage.

[52]  Carrie L. Masten,et al.  Facing puberty: associations between pubertal development and neural responses to affective facial displays. , 2012, Social cognitive and affective neuroscience.

[53]  Jennifer H. Pfeifer,et al.  Self-development: Integrating cognitive, socioemotional, and neuroimaging perspectives , 2012, Developmental Cognitive Neuroscience.

[54]  A. Hayes PROCESS : A Versatile Computational Tool for Observed Variable Mediation , Moderation , and Conditional Process Modeling 1 , 2012 .

[55]  V. Menon Large-scale brain networks and psychopathology: a unifying triple network model , 2011, Trends in Cognitive Sciences.

[56]  Georg Northoff,et al.  How is our self related to midline regions and the default-mode network? , 2011, NeuroImage.

[57]  Neal D Ryan,et al.  Neural Systems of Threat Processing in Adolescents: Role of Pubertal Maturation and Relation to Measures of Negative Affect , 2011, Developmental neuropsychology.

[58]  D. Pizzagalli Frontocingulate Dysfunction in Depression: Toward Biomarkers of Treatment Response , 2011, Neuropsychopharmacology.

[59]  M. Rietschel,et al.  The IMAGEN study: reinforcement-related behaviour in normal brain function and psychopathology , 2010, Molecular Psychiatry.

[60]  K. Davis,et al.  Cognitive and default‐mode resting state networks: Do male and female brains “rest” differently? , 2010, Human brain mapping.

[61]  B. Casey,et al.  Adolescence: What Do Transmission, Transition, and Translation Have to Do with It? , 2010, Neuron.

[62]  Hang Joon Jo,et al.  Mapping sources of correlation in resting state FMRI, with artifact detection and removal , 2010, NeuroImage.

[63]  Fatima Soliman,et al.  Imaging genetics and development: Challenges and promises , 2010, Human brain mapping.

[64]  S. Blakemore,et al.  The role of puberty in the developing adolescent brain , 2010, Human brain mapping.

[65]  I. Deary,et al.  The neuroscience of human intelligence differences , 2010, Nature Reviews Neuroscience.

[66]  R. Buckner,et al.  Functional-Anatomic Fractionation of the Brain's Default Network , 2010, Neuron.

[67]  Ronald E. Dahl,et al.  Pubertal development and behavior: Hormonal activation of social and motivational tendencies , 2010, Brain and Cognition.

[68]  Rhoshel K. Lenroot,et al.  Sex differences in the adolescent brain , 2010, Brain and Cognition.

[69]  L. Mewton,et al.  Investigating differential symptom profiles in major depressive episode with and without generalized anxiety disorder: true co-morbidity or symptom similarity? , 2009, Psychological Medicine.

[70]  S. Debener,et al.  Default-mode brain dysfunction in mental disorders: A systematic review , 2009, Neuroscience & Biobehavioral Reviews.

[71]  Keith A. Johnson,et al.  Cortical Hubs Revealed by Intrinsic Functional Connectivity: Mapping, Assessment of Stability, and Relation to Alzheimer's Disease , 2009, The Journal of Neuroscience.

[72]  B. Biswal,et al.  Functional connectivity of default mode network components: Correlation, anticorrelation, and causality , 2009, Human brain mapping.

[73]  L. Heller,et al.  Modeling direct effects of neural current on MRI , 2009, Human brain mapping.

[74]  V. Menon,et al.  A critical role for the right fronto-insular cortex in switching between central-executive and default-mode networks , 2008, Proceedings of the National Academy of Sciences.

[75]  Alan C. Evans,et al.  Neurodevelopmental Trajectories of the Human Cerebral Cortex , 2008, The Journal of Neuroscience.

[76]  S. Blakemore The social brain in adolescence , 2008, Nature Reviews Neuroscience.

[77]  D. Schacter,et al.  The Brain's Default Network , 2008, Annals of the New York Academy of Sciences.

[78]  Pedagógia,et al.  Cross Sectional Study , 2019 .

[79]  R. Haier,et al.  The Parieto-Frontal Integration Theory (P-FIT) of intelligence: Converging neuroimaging evidence , 2007, Behavioral and Brain Sciences.

[80]  S. Rombouts,et al.  Consistent resting-state networks across healthy subjects , 2006, Proceedings of the National Academy of Sciences.

[81]  Dinggang Shen,et al.  Puberty-related influences on brain development , 2006, Molecular and Cellular Endocrinology.

[82]  G. Schumann Reinforcement-related behaviour in normal brain function and psychopathology - The IMAGEN study , 2006 .

[83]  D. Watson Rethinking the mood and anxiety disorders: a quantitative hierarchical model for DSM-V. , 2005, Journal of abnormal psychology.

[84]  B. Vogt Pain and emotion interactions in subregions of the cingulate gyrus , 2005, Nature Reviews Neuroscience.

[85]  Olga V. Demler,et al.  Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication. , 2005, Archives of general psychiatry.

[86]  E. Leibenluft,et al.  The social re-orientation of adolescence: a neuroscience perspective on the process and its relation to psychopathology , 2005, Psychological Medicine.

[87]  D. Watson A quantitative hierarchical model for DSM-V , 2005 .

[88]  James L. McClelland,et al.  Semantic Cognition: A Parallel Distributed Processing Approach , 2004 .

[89]  S. Markovic-Plese,et al.  Longitudinal MRI study , 2003, Neurology.

[90]  M. Buonocore,et al.  Posterior cingulate cortex activation by emotional words: fMRI evidence from a valence decision task , 2003, Human brain mapping.

[91]  Vinod Menon,et al.  Functional connectivity in the resting brain: A network analysis of the default mode hypothesis , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[92]  Joana,et al.  Neuroimaging , 2002 .

[93]  B. Axelrod Validity of the Wechsler Abbreviated Scale of Intelligence and Other Very Short Forms of Estimating Intellectual Functioning , 2002, Assessment.

[94]  M. Corbetta,et al.  Control of goal-directed and stimulus-driven attention in the brain , 2002, Nature Reviews Neuroscience.

[95]  N. Makris,et al.  Normal sexual dimorphism of the adult human brain assessed by in vivo magnetic resonance imaging. , 2001, Cerebral cortex.

[96]  M. Keshavan,et al.  Sex differences in brain maturation during childhood and adolescence. , 2001, Cerebral cortex.

[97]  R. Gur,et al.  Age-related volumetric changes of brain gray and white matter in healthy infants and children. , 2001, Cerebral cortex.

[98]  G L Shulman,et al.  INAUGURAL ARTICLE by a Recently Elected Academy Member:A default mode of brain function , 2001 .

[99]  H. Meltzer,et al.  The Development and Well-Being Assessment: description and initial validation of an integrated assessment of child and adolescent psychopathology. , 2000, Journal of child psychology and psychiatry, and allied disciplines.

[100]  A. Yancey,et al.  Body image, perceived pubertal timing, and adolescent mental health. , 1999, The Journal of adolescent health : official publication of the Society for Adolescent Medicine.

[101]  Jagath C. Rajapakse,et al.  Development of the human corpus callosum during childhood and adolescence: A longitudinal MRI study , 1999, Progress in Neuro-Psychopharmacology and Biological Psychiatry.

[102]  R. Goodman The Strengths and Difficulties Questionnaire: a research note. , 1997, Journal of child psychology and psychiatry, and allied disciplines.

[103]  R W Cox,et al.  AFNI: software for analysis and visualization of functional magnetic resonance neuroimages. , 1996, Computers and biomedical research, an international journal.

[104]  J. Talairach,et al.  Co-Planar Stereotaxic Atlas of the Human Brain: 3-Dimensional Proportional System: An Approach to Cerebral Imaging , 1988 .

[105]  A. Petersen,et al.  A self-report measure of pubertal status: Reliability, validity, and initial norms , 1988, Journal of youth and adolescence.

[106]  H. Selznick,et al.  The New Statistics , 2014, Psychological science.