Orbito-frontal cortex functional connectivity mediates the relationship between fetal growth and childhood impulsivity
Bibliographic record
Abstract
Abstract The prenatal period is critical for a healthy development, and exposure to adversity during it may provoke alterations of several biological tissues and systems, resulting in health outcomes that may take place into childhood and adulthood. The orbito-frontal cortex (OFC), central in cognitive processes, is sensitive to negative environmental effects in the intrauterine environment. We investigated the association between OFC function and decision-making behavior in response to a poor-quality prenatal environment. We evaluated a subsample of the MAVAN longitudinal Canadian birth cohort gathering data on anthropometric measurements at birth, and resting-state functional MRI (rsfMRI) and decision-making (using the Information Sampling Task from the CANTAB battery) measured later in life. We performed a mediation analysis to investigate the direct and indirect effect of being born small for gestational age (SGA) on the Information Sampling Task performance, through OFC-related functional connectivity. Being born SGA is associated with decreased functional connectivity between the left hemisphere OFC and the middle frontal gyrus (OFC–MFG). Additionally, increased OFC–MFG connectivity is linked to better IST performance. Thus, SGA individuals have an altered OFC– MFG functional connectivity, which impacts on their performance on a decision-making task. Lower OFC–MFG functional connectivity and impulsive decision-making were associated to the SGA condition, reflecting a poor-quality prenatal environment. These findings highlight the importance of the prenatal period for a healthy development and suggest that neuroimaging focusing on the affected areas may identify individuals at higher risk of developing psychopathologies, and direct for proper interventions.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".