Response of Prefrontal Cortex to Executive Function Tasks in Early Childhood: An Exploratory Case Study for Childcare
Bibliographic record
Abstract
Executive function (EF) development is remarkable in early childhood. EF is an ability that provides a foundation for future success; accordingly, supporting children during their early childhood is crucial. So far, there have been many findings on EF in early childhood based on behavioral observation. This exploratory case study examines the measurement of prefrontal cortex activity during the performance of EF tasks using functional near-infrared spectroscopy (fNIRS). This study aims to explore the following hypothesis. (1) The prefrontal cortex during early childhood becomes more active as a task becomes more difficult. (2) However, brain activity decreases and stabilizes as time progresses. (3) The evaluation can be easily measured with two-channel fNIRS. Experimental results showed that the preschooler and the child in lower elementary school displayed high levels of brain activity in the order of increasing difficulty in terms of behavioral indicators. Moreover, the preschooler showed higher levels of reaction than the child in lower elementary school. This result is useful and will broaden the perspectives of scholars in the fields of psychology, pedagogy, and neuroscience, those involved in child support.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".