Skip to main content

Infant EEG theta modulation predicts childhood intelligence.

Publication ,  Journal Article
Jones, EJH; Goodwin, A; Orekhova, E; Charman, T; Dawson, G; Webb, SJ; Johnson, MH
Published in: Sci Rep
July 8, 2020

Intellectual functioning is a critical determinant of economic and personal productivity. Identifying early neural predictors of cognitive function in infancy will allow us to map the neurodevelopmental pathways that underpin individual differences in intellect. Here, in three different cohorts we investigate the association between a putative neurophysiological indicator of information encoding (change in frontal theta during a novel video) in infancy and later general cognitive outcome. In a discovery cohort of 12-month-old typically developing infants, we recorded EEG during presentation of dynamic movies of people and objects. Frontal theta power (3-6 Hz) significantly increased during the course of viewing each video. Critically, increase in frontal theta during viewing of a video was associated with a differential response to repetition of that specific video, confirming relation to learning. Further, individual differences in the magnitude of change in frontal theta power were related to concurrent nonverbal cognitive level. We then sought to extend this association in two independent samples enriched for variation in cognitive outcome due to the inclusion of infants at familial risk for autism. We observed similar patterns of theta EEG change at 12 months, and found a predictive relation to verbal and nonverbal cognitive skills measured at 2, 3 and 7 years of age. For the subset of high-risk infants later diagnosed with autism, infant theta EEG explained over 80% of the variance in nonverbal skills at age 3 years. We suggest that EEG theta change in infancy is an excellent candidate predictive biomarker that could yield substantial insight into the mechanisms that underlie individual differences in childhood intelligence, particularly in high risk populations.

Duke Scholars

Altmetric Attention Stats
Dimensions Citation Stats

Published In

Sci Rep

DOI

EISSN

2045-2322

Publication Date

July 8, 2020

Volume

10

Issue

1

Start / End Page

11232

Location

England

Related Subject Headings

  • Theta Rhythm
  • Prognosis
  • Male
  • Longitudinal Studies
  • Learning
  • Intelligence
  • Infant
  • Humans
  • Follow-Up Studies
  • Female
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Jones, E. J. H., Goodwin, A., Orekhova, E., Charman, T., Dawson, G., Webb, S. J., & Johnson, M. H. (2020). Infant EEG theta modulation predicts childhood intelligence. Sci Rep, 10(1), 11232. https://doi.org/10.1038/s41598-020-67687-y
Jones, E. J. H., A. Goodwin, E. Orekhova, T. Charman, G. Dawson, S. J. Webb, and M. H. Johnson. “Infant EEG theta modulation predicts childhood intelligence.Sci Rep 10, no. 1 (July 8, 2020): 11232. https://doi.org/10.1038/s41598-020-67687-y.
Jones EJH, Goodwin A, Orekhova E, Charman T, Dawson G, Webb SJ, et al. Infant EEG theta modulation predicts childhood intelligence. Sci Rep. 2020 Jul 8;10(1):11232.
Jones, E. J. H., et al. “Infant EEG theta modulation predicts childhood intelligence.Sci Rep, vol. 10, no. 1, July 2020, p. 11232. Pubmed, doi:10.1038/s41598-020-67687-y.
Jones EJH, Goodwin A, Orekhova E, Charman T, Dawson G, Webb SJ, Johnson MH. Infant EEG theta modulation predicts childhood intelligence. Sci Rep. 2020 Jul 8;10(1):11232.

Published In

Sci Rep

DOI

EISSN

2045-2322

Publication Date

July 8, 2020

Volume

10

Issue

1

Start / End Page

11232

Location

England

Related Subject Headings

  • Theta Rhythm
  • Prognosis
  • Male
  • Longitudinal Studies
  • Learning
  • Intelligence
  • Infant
  • Humans
  • Follow-Up Studies
  • Female