Cognitive strategy use as an index of developmental differences in neural responses to feedback
Bibliographic Data
| ID | 9786568 |
|---|---|
| Authors | Lau M Andersen (0000-0001-7323-0614, Aarhus University, corresponding author), Irene Visser (0000-0003-3855-2778, University of Amsterdam), Eveline A Crone (0000-0002-7508-6078, Leiden University), P Cédric M P Koolschijn (0000-0002-0625-1447, University of Amsterdam), Maartje E J Raijmakers (0000-0003-1843-6462, University of Amsterdam) |
| Year | 2014 |
| Volume | 50 |
| Issue | 12 |
| Pages | 2686-2696 |
| Publication date | 2014-01-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Developmental Psychology (JOURNAL) |
| Journal identifiers | ISSN: 0012-1649 • E-ISSN: 1939-0599 |
| Publisher | American Psychological Association (APA) (PUBLISHER) |
| DOI | 10.1037/a0038106 |
| PMID | 25329556 |
| OpenAlex | W2132017051 |
| Language | EN |
| Citations received | 2 |
| References cited | 8 |
Developmental differences in dorsolateral prefrontal cortex (DLPFC), anterior cingulate cortex (ACC), and superior parietal cortex (SPC) activation are associated with differences in how children, adolescents, and adults learn from performance feedback in rule-learning tasks (Crone, Zanolie, Leijenhorst, Westenberg, & Rombouts, 2008). Both maturational differences and performance differences can potentially explain variance in functional brain activation. To disentangle those effects, we established strategy differences in the performance of participants on the task of Crone et al. (2008) by the application of latent mixture models (McLachlan & Peel, 2000). We found 4 categorically different strategies, which were divided across age groups. Both adults and adolescents were distributed among all strategy groups except for the worst performing one, whereas children were distributed among all strategy groups except for the best performing one. Strategy use was a mediator and largely explained the relation between age and variance in activation patterns in the DLPFC and the SPC but not in the ACC. These findings are interpreted vis-à-vis age versus performance predictors of brain development
Cognition · Cognitive development · Cognitive psychology · Developmental psychology · Child and Animal Learning Development · Cognitive and developmental aspects of mathematical skills · Neural and Behavioral Psychology Studies · Neuroscience · Psychology
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Imaging the developing brain
Finite Mixture Models
Age-related change in executive function
Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models
A general approach to causal mediation analysis.
A Simple Objective Technique for Measuring Flexibility in Thinking
Dopaminergic and prefrontal contributions to reward-based learning and outcome monitoring during child development and aging
| Unique citing works | 2 |
|---|---|
| Citations per year | 0,29 |
| Citation span | 2019 - 2023 (5) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 2 |