Large-scale encoding of emotion concepts becomes increasingly similar between individuals from childhood to adolescence

[1]  Ursula A. Tooley,et al.  Early stressful experiences are associated with reduced neural responses to naturalistic emotional and social content in children , 2022, Developmental Cognitive Neuroscience.

[2]  C. Sandhofer,et al.  Emotion words link faces to emotional scenarios in early childhood. , 2022, Emotion.

[3]  D. Barch,et al.  EmoCodes: a Standardized Coding System for Socio-emotional Content in Complex Video Stimuli , 2022, Affective Science.

[4]  P. Pietrini,et al.  Default and control network connectivity dynamics track the stream of affect at multiple timescales , 2021, Social cognitive and affective neuroscience.

[5]  Christopher A. Baldassano,et al.  Schema representations in distinct brain networks support narrative memory during encoding and retrieval , 2021, bioRxiv.

[6]  S. Pollak,et al.  The Development of Emotion Reasoning in Infancy and Early Childhood , 2020, Annual Review of Developmental Psychology.

[7]  Yong He,et al.  Development of the default-mode network during childhood and adolescence: A longitudinal resting-state fMRI study , 2020, NeuroImage.

[8]  Scott P. Johnson,et al.  Factors Facilitating Early Emotion Understanding Development: Contributions to Individual Differences. , 2020, Human development.

[9]  Michael C. Frank,et al.  Emotion as Information in Early Social Learning , 2020, Current Directions in Psychological Science.

[10]  R. Leoni,et al.  Non-classical behavior of the default mode network regions during an information processing task , 2020, Brain Structure and Function.

[11]  Evan M. Gordon,et al.  Default-mode network streams for coupling to language and control systems , 2020, Proceedings of the National Academy of Sciences.

[12]  Jaime Fern'andez del R'io,et al.  Array programming with NumPy , 2020, Nature.

[13]  R. Malach,et al.  The surprising role of the default mode network in naturalistic perception , 2020, Communications Biology.

[14]  E. Gentaz,et al.  Emotional facial perception development in 7, 9 and 11 year-old children: The emergence of a silent eye-tracked emotional other-race effect , 2020, PloS one.

[15]  M. Milham,et al.  Towards clinical applications of movie fMRI , 2020, NeuroImage.

[16]  Jessica F. Cantlon,et al.  The balance of rigor and reality in developmental neuroscience , 2019, NeuroImage.

[17]  Peter J. Molfese,et al.  Idiosynchrony: From shared responses to individual differences during naturalistic neuroimaging , 2019, NeuroImage.

[18]  Ajay B. Satpute,et al.  The Default Mode Network’s Role in Discrete Emotion , 2019, Trends in Cognitive Sciences.

[19]  R. Buckner,et al.  The brain’s default network: updated anatomy, physiology and evolving insights , 2019, Nature Reviews Neuroscience.

[20]  Fei Xu,et al.  Emotion words, emotion concepts, and emotional development in children: A constructionist hypothesis. , 2019, Developmental psychology.

[21]  K. Scherf,et al.  Puberty and functional brain development in humans: Convergence in findings? , 2019, Developmental Cognitive Neuroscience.

[22]  Joel Nothman,et al.  SciPy 1.0-Fundamental Algorithms for Scientific Computing in Python , 2019, ArXiv.

[23]  Erik C. Nook,et al.  Charting the development of emotion comprehension and abstraction from childhood to adulthood using observer-rated and linguistic measures. , 2019, Emotion.

[24]  Samuel A. Nastase,et al.  Measuring shared responses across subjects using intersubject correlation , 2019, bioRxiv.

[25]  M. Catalina Camacho,et al.  Neural architecture supporting active emotion processing in children: A multivariate approach , 2019, NeuroImage.

[26]  Monica D. Rosenberg,et al.  Relationships between depressive symptoms and brain responses during emotional movie viewing emerge in adolescence , 2019, NeuroImage.

[27]  Luke J. Chang,et al.  Endogenous variation in ventromedial prefrontal cortex state dynamics during naturalistic viewing reflects affective experience , 2018, Science Advances.

[28]  F. Castellanos,et al.  Movies in the magnet: Naturalistic paradigms in developmental functional neuroimaging , 2018, Developmental Cognitive Neuroscience.

[29]  Tor D. Wager,et al.  Emotion schemas are embedded in the human visual system , 2018, Science Advances.

[30]  Emiliano Ricciardi,et al.  Emotionotopy in the human right temporo-parietal cortex , 2019, Nature Communications.

[31]  Steven E. Petersen,et al.  A set of functionally-defined brain regions with improved representation of the subcortex and cerebellum , 2018, NeuroImage.

[32]  Evan M. Gordon,et al.  Three Distinct Sets of Connector Hubs Integrate Human Brain Function. , 2018, Cell reports.

[33]  K. Scherer,et al.  An Appraisal-Driven Componential Approach to the Emotional Brain , 2018, Emotion Review.

[34]  Erik C. Nook,et al.  The Nonlinear Development of Emotion Differentiation: Granular Emotional Experience Is Low in Adolescence , 2018, Psychological science.

[35]  N. Dosenbach,et al.  The frontoparietal network: function, electrophysiology, and importance of individual precision mapping , 2018, Dialogues in clinical neuroscience.

[36]  Damien A. Fair,et al.  Behavioral interventions for reducing head motion during MRI scans in children , 2018, NeuroImage.

[37]  Gang Chen,et al.  Reliability of neural activation and connectivity during implicit face emotion processing in youth , 2018, Developmental Cognitive Neuroscience.

[38]  R. Saxe,et al.  Development of the social brain from age three to twelve years , 2018, Nature Communications.

[39]  M. Schlund,et al.  Positive reinforcement modulates fronto-limbic systems subserving emotional interference in adolescents , 2018, Behavioural Brain Research.

[40]  Luiz Pessoa,et al.  Understanding emotion with brain networks , 2018, Current Opinion in Behavioral Sciences.

[41]  Damien A. Fair,et al.  Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature , 2017, NeuroImage.

[42]  Daniel Rueckert,et al.  Multimodal surface matching with higher-order smoothness constraints , 2017, NeuroImage.

[43]  Timothy O. Laumann,et al.  Data Quality Influences Observed Links Between Functional Connectivity and Behavior , 2017, Cerebral cortex.

[44]  Natalie V. Motta-Mena,et al.  Pubertal development shapes perception of complex facial expressions. , 2017, Developmental science.

[45]  Waltz,et al.  Descriptor : An open resource for transdiagnostic research in pediatric mental health and learning disorders , 2019 .

[46]  Alejandro de la Vega,et al.  Developing a Comprehensive Framework for Multimodal Feature Extraction , 2017, KDD.

[47]  L. Williams,et al.  Defining biotypes for depression and anxiety based on large‐scale circuit dysfunction: a theoretical review of the evidence and future directions for clinical translation , 2017, Depression and anxiety.

[48]  Eveline A. Crone,et al.  Structural brain development between childhood and adulthood: Convergence across four longitudinal samples , 2016, NeuroImage.

[49]  Philip A. Kragel,et al.  Decoding Spontaneous Emotional States in the Human Brain , 2016, PLoS biology.

[50]  Philip A. Kragel,et al.  Decoding the Nature of Emotion in the Brain , 2016, Trends in Cognitive Sciences.

[51]  Christopher S. Monk,et al.  Age‐related changes in amygdala–frontal connectivity during emotional face processing from childhood into young adulthood , 2016, Human brain mapping.

[52]  Stamatios N. Sotiropoulos,et al.  An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging , 2016, NeuroImage.

[53]  Tamara Vanderwal,et al.  Inscapes: A movie paradigm to improve compliance in functional magnetic resonance imaging , 2015, NeuroImage.

[54]  Philip A. Kragel,et al.  Multivariate neural biomarkers of emotional states are categorically distinct. , 2015, Social cognitive and affective neuroscience.

[55]  M. D’Esposito,et al.  Functional Characterization of the Cingulo-Opercular Network in the Maintenance of Tonic Alertness. , 2015, Cerebral cortex.

[56]  Rebecca Saxe,et al.  Neural Representations of Emotion Are Organized around Abstract Event Features , 2015, Current Biology.

[57]  Ruth Campbell,et al.  Age, gender, and puberty influence the development of facial emotion recognition , 2015, Front. Psychol..

[58]  Jonathan D. Power,et al.  Statistical improvements in functional magnetic resonance imaging analyses produced by censoring high‐motion data points , 2014, Human brain mapping.

[59]  Kristen A. Lindquist,et al.  Comment: Constructionism is a Multilevel Framework for Affective Science , 2014 .

[60]  Moriah E. Thomason,et al.  The stimuli drive the response: An fMRI study of youth processing adult or child emotional face stimuli , 2013, NeuroImage.

[61]  Mark Jenkinson,et al.  The minimal preprocessing pipelines for the Human Connectome Project , 2013, NeuroImage.

[62]  Eduard Vieta,et al.  A systematic literature review of resting state network--functional MRI in bipolar disorder. , 2013, Journal of affective disorders.

[63]  Ajay B. Satpute,et al.  Large-scale brain networks in affective and social neuroscience: towards an integrative functional architecture of the brain , 2013, Current Opinion in Neurobiology.

[64]  Michael S. Gaffrey,et al.  Functional Brain Activation to Emotional and Nonemotional Faces in Healthy Children: Evidence for Developmentally Undifferentiated Amygdala Function during the School-age Period , 2022 .

[65]  Sherri C Widen Children’s Interpretation of Facial Expressions: The Long Path from Valence-Based to Specific Discrete Categories , 2013 .

[66]  Kristen A. Lindquist,et al.  A functional architecture of the human brain: emerging insights from the science of emotion , 2012, Trends in Cognitive Sciences.

[67]  Mikko Sams,et al.  Functional Magnetic Resonance Imaging Phase Synchronization as a Measure of Dynamic Functional Connectivity , 2012, Brain Connect..

[68]  R. Henson,et al.  How schema and novelty augment memory formation , 2012, Trends in Neurosciences.

[69]  Jessica L. Tracy,et al.  Four Models of Basic Emotions: A Review of Ekman and Cordaro, Izard, Levenson, and Panksepp and Watt , 2011 .

[70]  J. Panksepp,et al.  What is Basic about Basic Emotions? Lasting Lessons from Affective Neuroscience , 2011 .

[71]  Erin B. McClure-Tone,et al.  Behavioral and Neural Representation of Emotional Facial Expressions Across the Lifespan , 2011, Developmental neuropsychology.

[72]  Selin Aviyente,et al.  A phase synchrony measure for quantifying dynamic functional integration in the brain , 2011, Human brain mapping.

[73]  T. Striano,et al.  Children's processing of emotions expressed by peers and adults: An fMRI study , 2010, Social neuroscience.

[74]  J. Rapoport,et al.  Structural MRI of Pediatric Brain Development: What Have We Learned and Where Are We Going? , 2010, Neuron.

[75]  J. Russell,et al.  Children's scripts for social emotions: causes and consequences are more central than are facial expressions. , 2010, The British journal of developmental psychology.

[76]  Peter Stiers,et al.  Age, Sex, and Pubertal Phase Influence Mentalizing About Emotions and Actions in Adolescents , 2010, Developmental neuropsychology.

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

[78]  Ellen Leibenluft,et al.  A Developmental Examination of Amygdala Response to Facial Expressions , 2008, Journal of Cognitive Neuroscience.

[79]  G. Glover,et al.  Biological Substrates of Emotional Reactivity and Regulation in Adolescence During an Emotional Go-Nogo Task , 2008, Biological Psychiatry.

[80]  J. Russell,et al.  Children acquire emotion categories gradually , 2008 .

[81]  Kevin S LaBar,et al.  Development of emotional facial recognition in late childhood and adolescence. , 2007, Developmental science.

[82]  K. Durand,et al.  The development of facial emotion recognition: the role of configural information. , 2007, Journal of experimental child psychology.

[83]  Margot J. Taylor,et al.  The development of emotional face processing during childhood. , 2006, Developmental science.

[84]  Margot J. Taylor,et al.  Children recruit distinct neural systems for implicit emotional face processing , 2006, Neuroreport.

[85]  R. Malach,et al.  Intersubject Synchronization of Cortical Activity During Natural Vision , 2004, Science.

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

[87]  Kathleen M. Thomas,et al.  Amygdala response to facial expressions in children and adults , 2001, Biological Psychiatry.

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

[89]  L. Camras,et al.  Children's understanding of emotional facial expressions and verbal labels , 1985 .

[90]  Leslie G. Ungerleider,et al.  Object vision and spatial vision: two cortical pathways , 1983, Trends in Neurosciences.

[91]  Lynn Hasher,et al.  Is memory schematic , 1983 .

[92]  J. Darley,et al.  Expectancy confirmation processes arising in the social interaction sequence. , 1980 .

[93]  N. Mantel The detection of disease clustering and a generalized regression approach. , 1967, Cancer research.

[94]  E. Leibenluft,et al.  Developmental differences in the neural mechanisms of facial emotion labeling. , 2016, Social cognitive and affective neuroscience.

[95]  Timothy O. Laumann,et al.  Generation and Evaluation of a Cortical Area Parcellation from Resting-State Correlations. , 2016, Cerebral cortex.

[96]  E. Lemerise,et al.  An integrated model of emotion processes and cognition in social information processing. , 2000, Child development.

[97]  Y. Benjamini,et al.  Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .

[98]  K. Dodge,et al.  A review and reformulation of social information-processing mechanisms in children's social adjustment. , 1994 .