Abstract

Temporal regularities in the environment are often learned implicitly. In an auditory target-detection paradigm using EEG, Jongsma and colleagues (2006) showed that the neural response to these implicit regularities results in a reduction of the P3-N2 complex. Here, we utilized the same paradigm, this time in both young and old participants, to determine if this EEG signature of implicit learning was altered with age. Behaviorally, both groups of participants showed similar benefits for the presence of temporal regularity, with faster and more accurate responses given when the auditory targets were presented in a temporally regular vs. random pattern. In the brain, the younger adults showed the expected decrease in amplitude of this complex for regular compared to irregular trials. Older adults, in contrast, showed no difference in the amplitude of the P3-N2 complex between the irregular and regular condition. These data suggest that, although auditory implicit learning may be behaviorally spared in aging, older adults are not using the same neural substrates as younger adults to achieve this.

Highlights

  • Determining the presence of regular patterns in the sensory information we receive is one way in which we can make sense of the world around us

  • We observed a main effect of condition (F(1,24) = 7.82, p = 0.01, η2 = .25), for which participants were more accurate in the RC (M = 94.3% correct) than the IC

  • The accuracy and RTs were influenced by the regularity of the stimuli, but this influence did not differ as a function of age

Read more

Summary

Introduction

Determining the presence of regular patterns in the sensory information we receive is one way in which we can make sense of the world around us. Such patterns can help us predict upcoming events, and indicate when something deviates from expectation, potentially alerting us to danger. Nissen and Bullemer presented subjects with either a repeated sequence or a random sequence of visual stimuli.

Methods
Results
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