Evidence map›Paper›PMID 40945206›Full record

ArticleDevelopmental cognitive neuroscience2025

Age-related patterns of resting EEG power in infancy: Associations with prenatal socioeconomic disadvantage.

Aislinn Sandre, Sonya V Troller-Renfree, Melina Amarante, Amanda M Dettmer, Jerrold S Meyer, Kimberly G Noble

Abstract read
In one paragraph

Article in Developmental cognitive neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Large-Scale Brain Networks Track Gasoline Price Shifts.bioRxiv : the preprint server for biology · 2025
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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Aislinn SandreDepartment of Biobehavioral Sciences, Teachers College, Columbia University, New York, NY 10027, USA.
Sonya V Troller-RenfreeDepartment of Human Development, Teachers College, Columbia University, New York, NY 10027, USA.
Melina AmaranteDepartment of Biobehavioral Sciences, Teachers College, Columbia University, New York, NY 10027, USA.
Amanda M DettmerYale Child Study Center, Yale School of Medicine, New Haven, CT 06519, USA.
Jerrold S MeyerDepartment of Psychological and Brain Sciences, University of Massachusetts, Amherst, MA 01003, USA.
Kimberly G NobleDepartment of Biobehavioral Sciences, Teachers College, Columbia University, New York, NY 10027, USA. Electronic address: kgn2106@tc.columbia.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The brain develops rapidly during the prenatal period and first two years of life, making it particularly sensitive to environmental influences. Family socioeconomic disadvantage is one environmental factor that may shape the development of brain function in infancy. However, it is unclear how brain function changes across infancy or whether prenatal family socioeconomic disadvantage is associated with age-related differences in brain function during this period. Here, we examine whether resting electroencephalography (EEG) power (theta, alpha, beta, and gamma) shows linear and/or non-linear age-related patterns across four assessments from 1 to 18 months of age (N = 165), and whether these patterns are moderated by prenatal family socioeconomic disadvantage. We find that lower-frequency (relative theta) and higher-frequency (relative alpha, beta, and gamma) power show non-linear age-related patterns during the first 18 months of life. Prenatal family socioeconomic disadvantage moderates these patterns, such that infants from lower-income families show less steep age-related decreases in lower-frequency (relative theta) power and less steep increases in higher-frequency (relative beta) power. These associations hold when adjusting for other prenatal and postnatal experiences, as well as infant demographic and health-related factors. These data suggest that lower prenatal family income is associated with age-related differences in brain function during infancy.

Indexed as

BrainBrain WavesChild DevelopmentPrenatal Exposure Delayed EffectsElectroencephalographyFemaleHumansInfantMalePregnancyRestSocioeconomic Disparities in HealthSocioeconomic FactorsBrain developmentElectroencephalography (EEG)InfancyResting brain activitySocioeconomic status

Identifiers

PMID40945206
PMCPMC12793798

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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.