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Record W2069953532 · doi:10.1038/tp.2015.3

Prenatal maternal depression alters amygdala functional connectivity in 6-month-old infants

2015· article· en· W2069953532 on OpenAlexaff
Anqi Qiu, Y. Li, H. Chen, Anne Rifkin‐Graboi, Birit F. P. Broekman, Kenneth Kwek, S-M Saw, Yap Seng Chong, Peter D. Gluckman, Marielle V. Fortier, Michael J. Meaney

Bibliographic record

VenueTranslational Psychiatry · 2015
Typearticle
Languageen
FieldMedicine
TopicMaternal Mental Health During Pregnancy and Postpartum
Canadian institutionsDouglas Mental Health University Institute
FundersNational Medical Research CouncilMedical Research CouncilNational University Health SystemMinistry of Education, IndiaNational University of Singapore
KeywordsAmygdalaFunctional magnetic resonance imagingOrbitofrontal cortexPsychologyMajor depressive disorderInsulaOffspringPosterior cingulateNeuroimagingNeurosciencePrefrontal cortexMedicinePregnancyCognition

Abstract

fetched live from OpenAlex

Prenatal maternal depression is associated with alterations in the neonatal amygdala microstructure, shedding light on the timing for the influence of prenatal maternal depression on the brain structure of the offspring. This study aimed to examine the association between prenatal maternal depressive symptomatology and infant amygdala functional connectivity and to thus establish the neural functional basis for the transgenerational transmission of vulnerability for affective disorders during prenatal development. Twenty-four infants were included in this study with both structural magnetic resonance imaging (MRI) and resting-state functional MRI (fMRI) at 6 months of age. Maternal depression was assessed at 26 weeks of gestation and 3 months after delivery using the Edinburgh Postnatal Depression Scale. Linear regression was used to identify the amygdala functional networks and to examine the associations between prenatal maternal depressive symptoms and amygdala functional connectivity. Our results showed that at 6 months of age, the amygdala is functionally connected to widespread brain regions, forming the emotional regulation, sensory and perceptual, and emotional memory networks. After controlling for postnatal maternal depressive symptoms, infants born to mothers with higher prenatal maternal depressive symptoms showed greater functional connectivity of the amygdala with the left temporal cortex and insula, as well as the bilateral anterior cingulate, medial orbitofrontal and ventromedial prefrontal cortices, which are largely consistent with patterns of connectivity observed in adolescents and adults with major depressive disorder. Our study provides novel evidence that prenatal maternal depressive symptomatology alters the amygdala's functional connectivity in early postnatal life, which reveals that the neuroimaging correlates of the familial transmission of phenotypes associated with maternal mood are apparent in infants at 6 months of age.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.000

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 head0.028
GPT teacher head0.299
Teacher spread0.271 · 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

Citations280
Published2015
Admission routes1
Has abstractyes

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