Epigenetic tuning of brain signal entropy in emergent human social behavior.

EEG Infant development Multiscale entropy OXTR epigenetics Social perception

Journal

BMC medicine
ISSN: 1741-7015
Titre abrégé: BMC Med
Pays: England
ID NLM: 101190723

Informations de publication

Date de publication:
17 08 2020
Historique:
received: 01 10 2019
accepted: 26 06 2020
entrez: 18 8 2020
pubmed: 18 8 2020
medline: 18 8 2020
Statut: epublish

Résumé

How the brain develops accurate models of the external world and generates appropriate behavioral responses is a vital question of widespread multidisciplinary interest. It is increasingly understood that brain signal variability-posited to enhance perception, facilitate flexible cognitive representations, and improve behavioral outcomes-plays an important role in neural and cognitive development. The ability to perceive, interpret, and respond to complex and dynamic social information is particularly critical for the development of adaptive learning and behavior. Social perception relies on oxytocin-regulated neural networks that emerge early in development. We tested the hypothesis that individual differences in the endogenous oxytocinergic system early in life may influence social behavioral outcomes by regulating variability in brain signaling during social perception. In study 1, 55 infants provided a saliva sample at 5 months of age for analysis of individual differences in the oxytocinergic system and underwent electroencephalography (EEG) while listening to human vocalizations at 8 months of age for the assessment of brain signal variability. Infant behavior was assessed via parental report. In study 2, 60 infants provided a saliva sample and underwent EEG while viewing faces and objects and listening to human speech and water sounds at 4 months of age. Infant behavior was assessed via parental report and eye tracking. We show in two independent infant samples that increased brain signal entropy during social perception is in part explained by an epigenetic modification to the oxytocin receptor gene (OXTR) and accounts for significant individual differences in social behavior in the first year of life. These results are measure-, context-, and modality-specific: entropy, not standard deviation, links OXTR methylation and infant behavior; entropy evoked during social perception specifically explains social behavior only; and only entropy evoked during social auditory perception predicts infant vocalization behavior. Demonstrating these associations in infancy is critical for elucidating the neurobiological mechanisms accounting for individual differences in cognition and behavior relevant to neurodevelopmental disorders. Our results suggest that an epigenetic modification to the oxytocin receptor gene and brain signal entropy are useful indicators of social development and may hold potential diagnostic, therapeutic, and prognostic value.

Sections du résumé

BACKGROUND
How the brain develops accurate models of the external world and generates appropriate behavioral responses is a vital question of widespread multidisciplinary interest. It is increasingly understood that brain signal variability-posited to enhance perception, facilitate flexible cognitive representations, and improve behavioral outcomes-plays an important role in neural and cognitive development. The ability to perceive, interpret, and respond to complex and dynamic social information is particularly critical for the development of adaptive learning and behavior. Social perception relies on oxytocin-regulated neural networks that emerge early in development.
METHODS
We tested the hypothesis that individual differences in the endogenous oxytocinergic system early in life may influence social behavioral outcomes by regulating variability in brain signaling during social perception. In study 1, 55 infants provided a saliva sample at 5 months of age for analysis of individual differences in the oxytocinergic system and underwent electroencephalography (EEG) while listening to human vocalizations at 8 months of age for the assessment of brain signal variability. Infant behavior was assessed via parental report. In study 2, 60 infants provided a saliva sample and underwent EEG while viewing faces and objects and listening to human speech and water sounds at 4 months of age. Infant behavior was assessed via parental report and eye tracking.
RESULTS
We show in two independent infant samples that increased brain signal entropy during social perception is in part explained by an epigenetic modification to the oxytocin receptor gene (OXTR) and accounts for significant individual differences in social behavior in the first year of life. These results are measure-, context-, and modality-specific: entropy, not standard deviation, links OXTR methylation and infant behavior; entropy evoked during social perception specifically explains social behavior only; and only entropy evoked during social auditory perception predicts infant vocalization behavior.
CONCLUSIONS
Demonstrating these associations in infancy is critical for elucidating the neurobiological mechanisms accounting for individual differences in cognition and behavior relevant to neurodevelopmental disorders. Our results suggest that an epigenetic modification to the oxytocin receptor gene and brain signal entropy are useful indicators of social development and may hold potential diagnostic, therapeutic, and prognostic value.

Identifiants

pubmed: 32799881
doi: 10.1186/s12916-020-01683-x
pii: 10.1186/s12916-020-01683-x
pmc: PMC7429788
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

244

Subventions

Organisme : National Science Foundation
ID : 1729289
Pays : International
Organisme : NICHD NIH HHS
ID : F31 HD090865
Pays : United States

Commentaires et corrections

Type : ErratumIn

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Auteurs

Meghan H Puglia (MH)

Department of Psychology, University of Virginia, Charlottesville, VA, 22904, USA. meghan.puglia@virginia.edu.
Department of Neurology, University of Virginia, P.O. Box 800834, Charlottesville, VA, 22908, USA. meghan.puglia@virginia.edu.

Kathleen M Krol (KM)

Department of Psychology, University of Virginia, Charlottesville, VA, 22904, USA.
Max Planck Institute for Human Cognitive and Brain Sciences, 04103, Leipzig, Germany.

Manuela Missana (M)

Max Planck Institute for Human Cognitive and Brain Sciences, 04103, Leipzig, Germany.
Department of Early Child Development and Culture, Leipzig University, 04109, Leipzig, Germany.

Cabell L Williams (CL)

Department of Psychology, University of Virginia, Charlottesville, VA, 22904, USA.

Travis S Lillard (TS)

Department of Psychology, University of Virginia, Charlottesville, VA, 22904, USA.

James P Morris (JP)

Department of Psychology, University of Virginia, Charlottesville, VA, 22904, USA.

Jessica J Connelly (JJ)

Department of Psychology, University of Virginia, Charlottesville, VA, 22904, USA.

Tobias Grossmann (T)

Department of Psychology, University of Virginia, Charlottesville, VA, 22904, USA.
Max Planck Institute for Human Cognitive and Brain Sciences, 04103, Leipzig, Germany.

Classifications MeSH