Abstract

BackgroundHow 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.MethodsWe 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.ResultsWe 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.ConclusionsDemonstrating 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.

Highlights

  • How the brain develops accurate models of the external world and generates appropriate behavioral responses is a vital question of widespread multidisciplinary interest

  • Study 1 Brain signal entropy is associated with oxytocin receptor gene (OXTR) methylation and accounts for individual differences in infant behavior Brain signal variability can be quantified in different ways

  • We consider the area under the multiscale entropy (MSE) curve (MSEAUC) for scales 1 to 100 to obtain a comprehensive picture of the temperodynamic structure of our data, and standard deviation (SD) of the continuous time series (SDCONT) to obtain a measure of the distributional width of the signal

Read more

Summary

Introduction

How the brain develops accurate models of the external world and generates appropriate behavioral responses is a vital question of widespread multidisciplinary interest. These associations may occur because the addition of a moderate amount of random noise enhances and more accurately represents an underlying signal [2] Such variability in brain activity facilitates the exchange of information between neurons [19, 20], enhancing neural synchrony and promoting the formation of robust, adaptable networks that are not overly reliant on any particular node and display a greater dynamic range [2, 21, 22]. Together, these functions suggest that neural variability may act to appropriately weight incoming information such that important stimuli are maximally salient and enable the most flexible behavioral response

Methods
Results
Discussion
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call