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Fosco, Whitney D.; Meisel, Samuel N.; Weigard, Alexander; White, Corey N.; Colder, Craig R. – Developmental Science, 2022
Studies of reward effects on behavior in adolescence typically rely on performance metrics that confound myriad cognitive and non-cognitive processes, making it challenging to determine which process is impacted by reward. The present longitudinal study applied the diffusion decision model to a reward task to isolate the influence of reward on…
Descriptors: Adolescents, Rewards, Behavior, Reaction Time
Gee, Dylan G.; Hanson, Catherine; Caglar, Leyla Roksan; Fareri, Dominic S.; Gabard-Durnam, Laurel J.; Mills-Finnerty, Colleen; Goff, Bonnie; Caldera, Christina J.; Lumian, Daniel S.; Flannery, Jessica; Hanson, Stephen José; Tottenham, Nim – Developmental Science, 2022
Interactions between the amygdala and prefrontal cortex are fundamental to human emotion. Despite the central role of frontoamygdala communication in adult emotional learning and regulation, little is known about how top-down control emerges during human development. In the present cross-sectional pilot study, we experimentally manipulated…
Descriptors: Correlation, Diagnostic Tests, Brain Hemisphere Functions, Emotional Response
Hahn, Michael; Joechner, Ann-Kathrin; Roell, Judith; Schabus, Manuel; Heib, Dominik P. J.; Gruber, Georg; Peigneux, Philippe; Hoedlmoser, Kerstin – Developmental Science, 2019
Sleep spindles are related to sleep-dependent memory consolidation and general cognitive abilities. However, they undergo drastic maturational changes during adolescence. Here we used a longitudinal approach (across 7 years) to explore whether developmental changes in sleep spindle density can explain individual differences in sleep-dependent…
Descriptors: Sleep, Child Development, Memory, Cognitive Ability
Dennison, Meg; Whittle, Sarah; Yücel, Murat; Vijayakumar, Nandita; Kline, Alexandria; Simmons, Julian; Allen, Nicholas B. – Developmental Science, 2013
Early to mid-adolescence is an important developmental period for subcortical brain maturation, but longitudinal studies of these neurodevelopmental changes are lacking. The present study acquired repeated magnetic resonance images from 60 adolescent subjects (28 female) at ages 12.5 and 16.5 years to map changes in subcortical structure volumes.…
Descriptors: Brain Hemisphere Functions, Adolescents, Neurological Organization, Diagnostic Tests
Goddings, Anne-Lise; Burnett Heyes, Stephanie; Bird, Geoffrey; Viner, Russell M.; Blakemore, Sarah-Jayne – Developmental Science, 2012
The social brain undergoes developmental change during adolescence, and pubertal hormones are hypothesized to contribute to this development. We used fMRI to explore how pubertal indicators (salivary concentrations of testosterone, oestradiol and DHEA; pubertal stage; menarcheal status) relate to brain activity during a social emotion task.…
Descriptors: Puberty, Brain, Cognitive Development, Social Development
Bolling, Danielle Z.; Pitskel, Naomi B.; Deen, Ben; Crowley, Michael J.; Mayes, Linda C.; Pelphrey, Kevin A. – Developmental Science, 2011
Adolescence is a period of development in which peer relationships become especially important. A computer-based game (Cyberball) has been used to explore the effects of social exclusion in adolescents and adults. The current functional magnetic resonance imaging (fMRI) study used Cyberball to extend prior work to the cross-sectional study of…
Descriptors: Brain, Social Isolation, Cognitive Processes, Neurological Organization
Dumontheil, Iroise; Houlton, Rachael; Christoff, Kalina; Blakemore, Sarah-Jayne – Developmental Science, 2010
Non-linear changes in behaviour and in brain activity during adolescent development have been reported in a variety of cognitive tasks. These developmental changes are often interpreted as being a consequence of changes in brain structure, including non-linear changes in grey matter volumes, which occur during adolescence. However, very few…
Descriptors: Adolescent Development, Brain, Thinking Skills, Logical Thinking
Dumontheil, Iroise; Apperly, Ian A.; Blakemore, Sarah-Jayne – Developmental Science, 2010
The development of theory of mind use was investigated by giving a computerized task to 177 female participants divided into five age groups: Child I (7.3-9.7 years); Child II (9.8-11.4); Adolescent I (11.5-13.9); Adolescent II (14.0-17.7); Adults (19.1-27.5). Participants viewed a set of shelves containing objects, which they were instructed to…
Descriptors: Late Adolescents, Adolescents, Cognitive Development, Child Development