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Record W4413118985 · doi:10.3390/brainsci15080846

Emotional Brain Development: Neurobiological Indicators from Fetus Through Toddlerhood

2025· article· en· W4413118985 on OpenAlexaff
Gerry Leisman, Rahela Alfasi, Amedeo D’Angiulli

Bibliographic record

VenueBrain Sciences · 2025
Typearticle
Languageen
FieldMedicine
TopicMaternal Mental Health During Pregnancy and Postpartum
Canadian institutionsCarleton UniversityChildren's Hospital of Eastern Ontario
Fundersnot available
KeywordsPsychologyPrefrontal cortexAmygdalaDevelopmental psychologyVulnerability (computing)NeuroscienceCognitionNeglectPsychological intervention

Abstract

fetched live from OpenAlex

The maturation of brain regions involved in emotion regulation-particularly the amygdala and prefrontal cortex-from fetal life to age two is a dynamic process shaped by genetic and environmental factors. Early experiences, especially responsive caregiving, promote the growth of neural circuits supporting emotional expression and regulation. In contrast, early adversity such as neglect or chronic stress may disrupt these circuits and increase vulnerability to emotional difficulties. Elevated levels of placental CRH are linked to alterations in fetal brain development related to emotion. Neurodevelopmental processes like synaptic pruning and myelination, active during the first years, further shape emotional circuitry. These findings underscore the importance of early caregiving and timely interventions in fostering healthy emotional development. The present article proposes an integrative conceptual framework for early emotional and cognitive development, combining neurobiological models with contemporary theories in developmental psychology.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.037
Threshold uncertainty score0.436

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.039
GPT teacher head0.342
Teacher spread0.303 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations9
Published2025
Admission routes1
Has abstractyes

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