ArticleDevelopmental cognitive neuroscience2016
Longitudinal development of frontoparietal activity during feedback learning: Contributions of age, performance, working memory and cortical thickness.
Article in Developmental cognitive neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed.
- Evaluating frontoparietal network topography for diagnostic markers of Alzheimer's disease.Scientific reports · 2024Article
- Neuroimaging in Adolescents: Post-Traumatic Stress Disorder and Risk for Substance Use Disorders.Genes · 2023Review
- The Hitchhiker's guide to longitudinal models: A primer on model selection for repeated-measures methods.Developmental cognitive neuroscience · 2023Article
- The contribution of theta and delta to feedback processing in children with developmental language disorder.Journal of neurodevelopmental disorders · 2023Article
- Cortical Grey Matter Mediates Increases in Model-Based Control and Learning from Positive Feedback from Adolescence to Adulthood.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- The instability of functional connectomes across the first year of life.Developmental cognitive neuroscience · 2021Article
- The longitudinal stability of fMRI activation during reward processing in adolescents and young adults.NeuroImage · 2021Article
- On Imbalance of Impulse Control and Sensation Seeking and Adolescent Risk: An Intra-individual Developmental Test of the Dual Systems and Maturational Imbalance Models.Journal of youth and adolescence · 2021Article
- Article
- Distinct cortical thickness correlates of early life trauma exposure and posttraumatic stress disorder are shared among adolescent and adult females with interpersonal violence exposure.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2021Article
- Commentary: The Incidence of Road Traffic Crashes Among Young People Aged 15-20 Years: Differences in Behavior, Lifestyle and Sociodemographic Indices in the Galilee and the Golan.Frontiers in public health · 2021Article
- Modeling flexible behavior in childhood to adulthood shows age-dependent learning mechanisms and less optimal learning in autism in each age group.PLoS biology · 2020Article
- Modeling Individual Differences in Brain Development.Biological psychiatry · 2020Review
- Longitudinal changes in DLPFC activation during childhood are related to decreased aggression following social rejection.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Examining the relationship between measures of autistic traits and neural synchrony during movies in children with and without autism.NeuroImage. Clinical · 2020Article
- A three-wave longitudinal study of subcortical-cortical resting-state connectivity in adolescence: Testing age- and puberty-related changes.Human brain mapping · 2019Article
- Contributions of default mode network stability and deactivation to adolescent task engagement.Scientific reports · 2018Article
- Methodological considerations for developmental longitudinal fMRI research.Developmental cognitive neuroscience · 2018Review
- Time-frequency approaches to investigating changes in feedback processing during childhood and adolescence.Psychophysiology · 2018Article
- Test-retest reliability of longitudinal task-based fMRI: Implications for developmental studies.Developmental cognitive neuroscience · 2018Review
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Feedback learning is a crucial skill for cognitive flexibility that continues to develop into adolescence, and is linked to neural activity within a frontoparietal network. Although it is well conceptualized that activity in the frontoparietal network changes during development, there is surprisingly little consensus about the direction of change. Using a longitudinal design (N=208, 8-27 years, two measurements in two years), we investigated developmental trajectories in frontoparietal activity during feedback learning. Our first aim was to test for linear and nonlinear developmental trajectories in dorsolateral prefrontal cortex (DLPFC), superior parietal cortex (SPC), supplementary motor area (SMA) and anterior cingulate cortex (ACC). Second, we tested which factors (task performance, working memory, cortical thickness) explained additional variance in time-related changes in activity besides age. Developmental patterns for activity in DLPFC and SPC were best characterized by a quadratic age function leveling off/peaking in late adolescence. There was a linear increase in SMA and a linear decrease with age in ACC activity. In addition to age, task performance explained variance in DLPFC and SPC activity, whereas cortical thickness explained variance in SMA activity. Together, these findings provide a novel perspective of linear and nonlinear developmental changes in the frontoparietal network during feedback learning.
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