ArticleFrontiers in neuroscience2023
Superstorm Sandy exposure
Article in Frontiers in neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed.
- Environmental roots of neonatal health: how social and structural exposures shape early-life outcomes.Pediatric research · 2026Review
- Adaptive Skills May Moderate the Association between Prenatal Stress Exposure and Limbic Brain Activation: A Developmental Functional Magnetic Resonance Imaging Study of Superstorm Sandy Exposure.Developmental neuroscience · 2026Article
- Sex Specific Threshold Effects of Prenatal Stress on Striatal Microglia and Relevant Behaviors in Mice.Archives of medical research · 2026Article
- Prenatal stress alters mouse offspring dorsal striatal development and placental function in sex-specific ways.Journal of psychiatric research · 2025Article
- Article
- Behavioral moderators ofFrontiers in psychiatry · 2025Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Prenatal maternal stress (PNMS), including exposure to natural disasters, has been shown to serve as a risk factor for future child psychopathology and suboptimal brain development, particularly among brain regions shown to be sensitive to stress and trauma exposure. However, statistical approaches deployed in most studies are usually constrained by a limited number of variables for the sake of statistical power. Explainable machine learning, on the other hand, enables the study of high data dimension and offers novel insights into the prominent subset of behavioral phenotypes and brain regions most susceptible to PNMS. In the present study, we aimed to identify the most important child neurobehavioral and brain features associated with Methods: By leveraging an explainable machine learning technique, the Shapley additive explanations method, we tested the marginal feature effect on SS exposures and examined the individual variable effects on disaster exposure. Results: Results show that certain brain regions are especially sensitive to Discussion: These findings suggest
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.