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Record W7082158958 · doi:10.11575/prism/49989

Perinatal Psychological Distress and Child Brain Function and Behaviour Across Early Childhood

2025· other· en· W7082158958 on OpenAlexaboutno aff

Bibliographic record

VenueOpen MIND · 2025
Typeother
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsnot available
Fundersnot available
KeywordsAnxietyDistressDepression (economics)Edinburgh Postnatal Depression ScaleChild developmentPregnancyEarly childhoodMental health

Abstract

fetched live from OpenAlex

Maternal psychological distress during the perinatal period, including both pregnancy and the early postpartum months, is a prevalent public health concern related to a range of child developmental outcomes. While relationships between perinatal distress and child behaviour have been documented, the role of early brain function in shaping these associations remains less clear, especially when examined across repeated developmental assessments. This thesis examined whether prenatal distress is associated with trajectories of brain network development from infancy to early childhood, as well as the role of functional brain connectivity in associations between perinatal maternal distress and child behaviour leveraging data from the Canada-wide Pregnancy during the COVID-19 Pandemic (PdP) study. For both studies, prenatal and postnatal maternal depression and anxiety were measured using the Edinburgh Postnatal Depression Scale (EPDS) and the Patient Reported Outcomes Measurement Information System (PROMIS) Anxiety Adult 7-item short form. In the first study, resting-state fMRI data were collected at 2 years of age (n = 62) in Calgary and Vancouver, and used to assess functional connectivity in the default mode, executive control, left frontoparietal, and sensorimotor networks. Child behaviour was measured using the Ages and Stages Questionnaire (ASQ-3) at 2 and 3 years of age. Higher prenatal and postnatal distress were associated with lower ASQ-3 scores across all five developmental domains by 3 years of age. Postnatal distress was also linked to lower gross motor and personal-social scores at 2 years. However, functional connectivity at 2 years was not significantly associated with either maternal distress or behavioural outcomes. In the second study, resting-state fMRI data collected at 3 months, 1 year, 2 years, and 3 years of age (n = 217 scans, 178 individuals) in Calgary, Vancouver, and Montreal were analyzed to examine developmental changes in network connectivity and their associations with prenatal distress. Frontoparietal connectivity increased, and sensorimotor connectivity decreased from 3 months to 3 years of age. Prenatal maternal distress was not associated with altered connectivity trajectories. Together, these studies suggest that perinatal maternal distress is associated with behavioural differences in children during the first 3 years of life, but brain network development is relatively stable in the context of such exposures. These findings highlight the importance of routine and ongoing screening for maternal psychological distress both during pregnancy and the postpartum period, to support early identification and intervention for families who may benefit from additional 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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.125
Threshold uncertainty score0.249

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.014
GPT teacher head0.284
Teacher spread0.270 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2025
Admission routes1
Has abstractyes

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