The interaction between attention and motor prediction. An ERP study

Article


Jones, A., Hughes, G. and Waszak, F. 2013. The interaction between attention and motor prediction. An ERP study. NeuroImage. 83, pp. 533-541. https://doi.org/10.1016/j.neuroimage.2013.07.004
TypeArticle
TitleThe interaction between attention and motor prediction. An ERP study
AuthorsJones, A., Hughes, G. and Waszak, F.
Abstract

Performing a voluntary action involves the anticipation of the intended effect of that action. Interaction with the environment also requires the allocation of attention. However, the effects of attention upon motor predictive processes remain unclear. Here we use a novel paradigm to investigate attention and motor prediction orthogonally. In an acquisition phase, high and low tones were associated with left and right key presses. In the following test phase, tones were presented at random and participants attended to only one ear whilst ignoring tones presented in the unattended ear. In the test phase a tone could therefore be presented at the attended or unattended ear, as well as being congruent or incongruent with prior action–effect learning. We demonstrated early and late effects of attention as well as a later independent motor prediction effect with a larger P3a for incongruent tones. Interestingly, we demonstrated an intermediate interaction, showing an action–effect negativity (NAE) for tones which were unattended, whilst no motor prediction effect was found for attended tones. This interaction pattern suggests that attention and motor prediction are not opposing processes but can both operate to modulate prediction, providing valuable new insight into the relationship between attention and the effects of motor prediction.

KeywordsAction effect; Auditory; EEG/ERP; Motor prediction; Selective attention
PublisherElsevier
JournalNeuroImage
ISSN1053-8119
Electronic1095-9572
Publication dates
PrintDec 2013
Publication process dates
Deposited11 Sep 2013
Output statusPublished
Digital Object Identifier (DOI)https://doi.org/10.1016/j.neuroimage.2013.07.004
PubMed ID23850467
Web of Science identifierWOS:000326953700049
LanguageEnglish
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