Temporal expectancies driven by self- and externally generated rhythms - Archive ouverte HAL
Article Dans Une Revue NeuroImage Année : 2017

Temporal expectancies driven by self- and externally generated rhythms

Alexander Jones
Yi-Fang Hsu
  • Fonction : Auteur
Lionel Granjon
Florian Waszak

Résumé

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 1 Hz 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.

Dates et versions

hal-02384741 , version 1 (06-12-2019)

Identifiants

Citer

Alexander Jones, Yi-Fang Hsu, Lionel Granjon, Florian Waszak. Temporal expectancies driven by self- and externally generated rhythms. NeuroImage, 2017, 156, pp.352-362. ⟨10.1016/j.neuroimage.2017.05.042⟩. ⟨hal-02384741⟩

Collections

CNRS USPC
30 Consultations
0 Téléchargements

Altmetric

Partager

More