Temporal expectancies driven by self- and externally generated rhythms

Article


Jones, A., Hsu, Y., Granjon, L. and Waszak, F. 2017. Temporal expectancies driven by self- and externally generated rhythms. NeuroImage. 156, pp. 352-362. https://doi.org/10.1016/j.neuroimage.2017.05.042
TypeArticle
TitleTemporal expectancies driven by self- and externally generated rhythms
AuthorsJones, A., Hsu, Y., Granjon, L. and Waszak, F.
Abstract

The dynamic attending theory proposes that rhythms entrain periodic fluctuations of attention which modulate the gain of sensory input. However, temporal expectancies can also be driven by the mere passage of time (foreperiod effect). It is currently unknown how these two types of temporal expectancy relate to each other, i.e. whether they work in parallel and have distinguishable neural signatures. The current research addresses this issue. Participants either tapped a 1Hz rhythm (active task) or were passively presented with the same rhythm using tactile stimulators (passive task). Based on this rhythm an auditory target was then presented early, in synchrony, or late. Behavioural results were in line with the dynamic attending theory as RTs were faster for in- compared to out-of-synchrony targets. Electrophysiological results suggested self-generated and externally induced rhythms to entrain neural oscillations in the delta frequency band. Auditory ERPs showed evidence of two distinct temporal expectancy processes. Both tasks demonstrated a pattern which followed a linear foreperiod effect. In the active task, however, we also observed an ERP effect consistent with the dynamic attending theory. This study shows that temporal expectancies generated by a rhythm and expectancy generated by the mere passage of time can work in parallel and sheds light on how these mechanisms are implemented in the brain.

KeywordsRhythmic tapping; Crossmodal; Entrainment ; Oscillation; Temporal expectation
PublisherElsevier
JournalNeuroImage
ISSN1053-8119
Electronic1095-9572
Publication dates
Online19 May 2017
Print01 Aug 2017
Publication process dates
Deposited23 May 2017
Accepted17 May 2017
Output statusPublished
Accepted author manuscript
License
Copyright Statement

© 2017. This author's accepted manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/

Digital Object Identifier (DOI)https://doi.org/10.1016/j.neuroimage.2017.05.042
Web of Science identifierWOS:000406946100031
LanguageEnglish
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