Eva H Telzer. Dev Cogn Neurosci 2016
Times Cited: 89
Times Cited: 89
Times Cited
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Similarity
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Peers increase adolescent risk taking by enhancing activity in the brain's reward circuitry.
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Longitudinal changes in adolescent risk-taking: a comprehensive study of neural responses to rewards, pubertal development, and risk-taking behavior.
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Beyond simple models of self-control to circuit-based accounts of adolescent behavior.
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Earlier development of the accumbens relative to orbitofrontal cortex might underlie risk-taking behavior in adolescents.
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The dual systems model: Review, reappraisal, and reaffirmation.
Elizabeth P Shulman, Ashley R Smith, Karol Silva, Grace Icenogle, Natasha Duell, Jason Chein, Laurence Steinberg. Dev Cogn Neurosci 2016
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21
A time of change: behavioral and neural correlates of adolescent sensitivity to appetitive and aversive environmental cues.
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Social re-orientation and brain development: An expanded and updated view.
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17
The social re-orientation of adolescence: a neuroscience perspective on the process and its relation to psychopathology.
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Arrested development? Reconsidering dual-systems models of brain function in adolescence and disorders.
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Mothers know best: redirecting adolescent reward sensitivity toward safe behavior during risk taking.
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25
Risk-taking and the adolescent brain: who is at risk?
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16
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Neural networks involved in adolescent reward processing: An activation likelihood estimation meta-analysis of functional neuroimaging studies.
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15
Peer influence on risk taking, risk preference, and risky decision making in adolescence and adulthood: an experimental study.
Margo Gardner, Laurence Steinberg. Dev Psychol 2005
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15
The adolescent brain and age-related behavioral manifestations.
L P Spear. Neurosci Biobehav Rev 2000
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Adolescent neurobiological susceptibility to social context.
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14
Ventral striatum activation to prosocial rewards predicts longitudinal declines in adolescent risk taking.
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A meta-analysis on age differences in risky decision making: adolescents versus children and adults.
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13
The reward circuit: linking primate anatomy and human imaging.
Suzanne N Haber, Brian Knutson. Neuropsychopharmacology 2010
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13
Social influence on risk perception during adolescence.
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Longitudinal Changes in Prefrontal Cortex Activation Underlie Declines in Adolescent Risk Taking.
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19
What motivates the adolescent? Brain regions mediating reward sensitivity across adolescence.
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13
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13
Adolescent risky decision-making: neurocognitive development of reward and control regions.
Linda Van Leijenhorst, Bregtje Gunther Moor, Zdena A Op de Macks, Serge A R B Rombouts, P Michiel Westenberg, Eveline A Crone. Neuroimage 2010
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13
Adolescent brain development: a period of vulnerabilities and opportunities. Keynote address.
Ronald E Dahl. Ann N Y Acad Sci 2004
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13
Entering adolescence: resistance to peer influence, risky behavior, and neural changes in emotion reactivity.
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Beyond simple models of adolescence to an integrated circuit-based account: A commentary.
B J Casey, Adriana Galván, Leah H Somerville. Dev Cogn Neurosci 2016
B J Casey, Adriana Galván, Leah H Somerville. Dev Cogn Neurosci 2016
11
A cross-sectional and longitudinal analysis of reward-related brain activation: effects of age, pubertal stage, and reward sensitivity.
Anna C K van Duijvenvoorde, Zdeňa A Op de Macks, Sandy Overgaauw, Bregtje Gunther Moor, Ronald E Dahl, Eveline A Crone. Brain Cogn 2014
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14
Processing of primary and secondary rewards: a quantitative meta-analysis and review of human functional neuroimaging studies.
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The quality of adolescents' peer relationships modulates neural sensitivity to risk taking.
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16
Contributions of Reward Sensitivity to Ventral Striatum Activity Across Adolescence and Early Adulthood.
Elisabeth Schreuders, Barbara R Braams, Neeltje E Blankenstein, Jiska S Peper, Berna Güroğlu, Eveline A Crone. Child Dev 2018
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21
The medial prefrontal cortex and the emergence of self-conscious emotion in adolescence.
Leah H Somerville, Rebecca M Jones, Erika J Ruberry, Jonathan P Dyke, Gary Glover, B J Casey. Psychol Sci 2013
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10
Gambling for self, friends, and antagonists: differential contributions of affective and social brain regions on adolescent reward processing.
Barbara R Braams, Sabine Peters, Jiska S Peper, Berna Güroğlu, Eveline A Crone. Neuroimage 2014
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16
The triadic model perspective for the study of adolescent motivated behavior.
Monique Ernst. Brain Cogn 2014
Monique Ernst. Brain Cogn 2014
10
Age differences in the impact of peers on adolescents' and adults' neural response to reward.
Ashley R Smith, Laurence Steinberg, Nicole Strang, Jason Chein. Dev Cogn Neurosci 2015
Ashley R Smith, Laurence Steinberg, Nicole Strang, Jason Chein. Dev Cogn Neurosci 2015
12
Meaningful family relationships: neurocognitive buffers of adolescent risk taking.
Eva H Telzer, Andrew J Fuligni, Matthew D Lieberman, Adriana Galván. J Cogn Neurosci 2013
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13
Triadic model of the neurobiology of motivated behavior in adolescence.
Monique Ernst, Daniel S Pine, Michael Hardin. Psychol Med 2006
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8
A systematic review of fMRI reward paradigms used in studies of adolescents vs. adults: the impact of task design and implications for understanding neurodevelopment.
Jessica M Richards, Rista C Plate, Monique Ernst. Neurosci Biobehav Rev 2013
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Common and distinct networks underlying reward valence and processing stages: a meta-analysis of functional neuroimaging studies.
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Peer Influences on Adolescent Decision Making.
Dustin Albert, Jason Chein, Laurence Steinberg. Curr Dir Psychol Sci 2013
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Buffering social influence: neural correlates of response inhibition predict driving safety in the presence of a peer.
Christopher N Cascio, Joshua Carp, Matthew Brook O'Donnell, Francis J Tinney, C Raymond Bingham, Jean T Shope, Marie Claude Ouimet, Anuj K Pradhan, Bruce G Simons-Morton, Emily B Falk. J Cogn Neurosci 2015
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18
Who are those "risk-taking adolescents"? Individual differences in developmental neuroimaging research.
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9
Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.