Implicit anticipation of probabilistic regularities: Larger CNV emerges for unpredictable events.

Neuropsychologia

Institute of Psychology, ELTE Eötvös Loránd University, Izabella utca 46, H-1064, Budapest, Hungary; Brain, Memory and Language Research Group, Institute of Cognitive Neuroscience and Psychology, Research Centre for Natural Sciences, Magyar tudósok körútja 2, H-1117, Budapest, Hungary; Lyon Neuroscience Research Center (CRNL), Université de Lyon, Centre Hospitalier Le Vinatier, Bâtiment 462, Neurocampus 95 Boulevard Pinel, 69675, Bron, Lyon, France. Electronic address:

Published: June 2021

AI Article Synopsis

  • Anticipating what will happen next is important for how we automatically do things without thinking too much.
  • In a study with young adults, researchers looked at brain activity when participants reacted to different types of signals that predicted an event, which could be either expected or unexpected.
  • They found that the brain showed greater activity when the event was unpredictable, suggesting that people focus more and prepare better for surprises compared to things they can predict.

Article Abstract

Anticipation of upcoming events plays a crucial role in automatic behaviors. It is, however, still unclear whether the event-related brain potential (ERP) markers of anticipation could track the implicit acquisition of probabilistic regularities that can be considered as building blocks of automatic behaviors. Therefore, in a four-choice reaction time (RT) task performed by young adults (N = 36), the contingent negative variation (CNV) as an ERP marker of anticipation was measured from the onset of a cue stimulus until the presentation of a target stimulus. Due to the probability structure of the task, target stimuli were either predictable or unpredictable, but this was unknown to participants. The cue did not contain predictive information on the upcoming target. Results showed that the CNV amplitude during response preparation was larger before the unpredictable than before the predictable target stimuli. In addition, although RTs increased, the P3 amplitude decreased for the unpredictable as compared with the predictable target stimuli, possibly due to the stronger response preparation that preceded stimulus presentation. These results suggest that enhanced attentional resources are allocated to the implicit anticipation and processing of unpredictable events. This might originate from the formation of internal models on the probabilistic regularities of the stimulus stream, which primarily facilitates the processing of predictable events. Overall, we provide ERP evidence that supports the role of implicit anticipation and predictive processes in the acquisition of probabilistic regularities.

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Source
http://dx.doi.org/10.1016/j.neuropsychologia.2021.107826DOI Listing

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