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Expectation affects neural repetition suppression in infancy. | LitMetric

AI Article Synopsis

  • Recent research indicates that infant brains can make predictions, but this ability has been studied in limited scenarios.
  • The study investigates auditory repetition suppression (RS) in infants, a phenomenon where repeated stimuli trigger less neural activity than new ones, and explores if this is influenced by top-down expectations rather than just bottom-up processes.
  • Using fNIRS, the study finds that 6-month-old infants show reduced brain responses to varying auditory stimuli when they expect variability, highlighting that their neural activity is shaped by predictive processes from their experiences.

Article Abstract

Recent work provides evidence that the infant brain is able to make top-down predictions, but this has been explored only in limited contexts and domains. We build upon this evidence of predictive processing in infants using a new paradigm to examine auditory repetition suppression (RS). RS is a well-documented neural phenomenon in which repeated presentations of the same stimulus result in reduced neural activation compared to non-repeating stimuli. Many theories explain RS using bottom-up mechanisms, but recent work has posited that top-down expectation and predictive coding may bias, or even explain, RS. Here, we investigate whether RS in the infant brain is similarly sensitive to top-down mechanisms. We use fNIRS to measure infants' neural response in two experimental conditions, one in which variability in stimulus presentation is expected (occurs 75% of the time) and a control condition where variability and repetition are equally likely (50% of the time). We show that 6-month-old infants exhibit attenuated frontal lobe response to blocks of variable auditory stimuli during contexts when variability is expected as compared to the control condition. These findings suggest that young infants' neural responses are modulated by predictions gained from experience and not simply by bottom-up mechanisms.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6918478PMC
http://dx.doi.org/10.1016/j.dcn.2018.11.001DOI Listing

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