Non-rhythmic temporal prediction involves phase resets of low-frequency delta oscillations

Jonathan Daume; Peng Wang; Alexander Maye; Dan Zhang; Andreas K Engel

doi:10.1016/j.neuroimage.2020.117376

Non-rhythmic temporal prediction involves phase resets of low-frequency delta oscillations

Standard

Non-rhythmic temporal prediction involves phase resets of low-frequency delta oscillations. / Daume, Jonathan; Wang, Peng ; Maye, Alexander; Zhang, Dan; Engel, Andreas K.

in: NEUROIMAGE, Jahrgang 224, 117376, 01.01.2021.

Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung

Harvard

Daume, J, Wang, P , Maye, A, Zhang, D & Engel, AK 2021, 'Non-rhythmic temporal prediction involves phase resets of low-frequency delta oscillations', NEUROIMAGE, Jg. 224, 117376. https://doi.org/10.1016/j.neuroimage.2020.117376

APA

Daume, J., Wang, P., Maye, A., Zhang, D., & Engel, A. K. (2021). Non-rhythmic temporal prediction involves phase resets of low-frequency delta oscillations. NEUROIMAGE, 224, [117376]. https://doi.org/10.1016/j.neuroimage.2020.117376

Vancouver

Daume J, Wang P , Maye A, Zhang D, Engel AK. Non-rhythmic temporal prediction involves phase resets of low-frequency delta oscillations. NEUROIMAGE. 2021 Jan 1;224. 117376. https://doi.org/10.1016/j.neuroimage.2020.117376

Bibtex

@article{aa0cbfe0148a49cf94c676e67d922b93,

title = "Non-rhythmic temporal prediction involves phase resets of low-frequency delta oscillations",

abstract = "The phase of neural oscillatory signals aligns to the predicted onset of upcoming stimulation. Whether such phase alignments represent phase resets of underlying neural oscillations or just rhythmically evoked activity, and whether they can be observed in a rhythm-free visual context, however, remains unclear. Here, we recorded the magnetoencephalogram while participants were engaged in a temporal prediction task, judging the visual or tactile reappearance of a uniformly moving stimulus. The prediction conditions were contrasted with a control condition to dissociate phase adjustments of neural oscillations from stimulus-driven activity. We observed stronger delta band inter-trial phase consistency (ITPC) in a network of sensory, parietal and frontal brain areas, but no power increase reflecting stimulus-driven or prediction-related evoked activity. Delta ITPC further correlated with prediction performance in the cerebellum and visual cortex. Our results provide evidence that phase alignments of low-frequency neural oscillations underlie temporal predictions in a non-rhythmic visual and crossmodal context.",

author = "Jonathan Daume and Peng Wang and Alexander Maye and Dan Zhang and Engel, {Andreas K}",

note = "Copyright {\textcopyright} 2020. Published by Elsevier Inc.",

year = "2021",

month = jan,

day = "1",

doi = "10.1016/j.neuroimage.2020.117376",

language = "English",

volume = "224",

journal = "NEUROIMAGE",

issn = "1053-8119",

publisher = "Academic Press",

}

RIS

TY - JOUR

T1 - Non-rhythmic temporal prediction involves phase resets of low-frequency delta oscillations

AU - Daume, Jonathan

AU - Wang, Peng

AU - Maye, Alexander

AU - Zhang, Dan

AU - Engel, Andreas K

PY - 2021/1/1

Y1 - 2021/1/1

N2 - The phase of neural oscillatory signals aligns to the predicted onset of upcoming stimulation. Whether such phase alignments represent phase resets of underlying neural oscillations or just rhythmically evoked activity, and whether they can be observed in a rhythm-free visual context, however, remains unclear. Here, we recorded the magnetoencephalogram while participants were engaged in a temporal prediction task, judging the visual or tactile reappearance of a uniformly moving stimulus. The prediction conditions were contrasted with a control condition to dissociate phase adjustments of neural oscillations from stimulus-driven activity. We observed stronger delta band inter-trial phase consistency (ITPC) in a network of sensory, parietal and frontal brain areas, but no power increase reflecting stimulus-driven or prediction-related evoked activity. Delta ITPC further correlated with prediction performance in the cerebellum and visual cortex. Our results provide evidence that phase alignments of low-frequency neural oscillations underlie temporal predictions in a non-rhythmic visual and crossmodal context.

AB - The phase of neural oscillatory signals aligns to the predicted onset of upcoming stimulation. Whether such phase alignments represent phase resets of underlying neural oscillations or just rhythmically evoked activity, and whether they can be observed in a rhythm-free visual context, however, remains unclear. Here, we recorded the magnetoencephalogram while participants were engaged in a temporal prediction task, judging the visual or tactile reappearance of a uniformly moving stimulus. The prediction conditions were contrasted with a control condition to dissociate phase adjustments of neural oscillations from stimulus-driven activity. We observed stronger delta band inter-trial phase consistency (ITPC) in a network of sensory, parietal and frontal brain areas, but no power increase reflecting stimulus-driven or prediction-related evoked activity. Delta ITPC further correlated with prediction performance in the cerebellum and visual cortex. Our results provide evidence that phase alignments of low-frequency neural oscillations underlie temporal predictions in a non-rhythmic visual and crossmodal context.

U2 - 10.1016/j.neuroimage.2020.117376

DO - 10.1016/j.neuroimage.2020.117376

M3 - SCORING: Journal article

C2 - 32949708

VL - 224

JO - NEUROIMAGE

JF - NEUROIMAGE

SN - 1053-8119

M1 - 117376

ER -