Non-rhythmic temporal prediction involves phase resets of low-frequency delta oscillations
| Autor: | Dan Zhang, Peng Wang, Alexander Maye, Jonathan Daume, Andreas K. Engel |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Inter-trial phase coherence
Adult Male genetic structures Cognitive Neuroscience Sensory system Stimulation Stimulus (physiology) 050105 experimental psychology lcsh:RC321-571 03 medical and health sciences Crossmodal temporal prediction Young Adult 0302 clinical medicine Rhythm medicine Humans 0501 psychology and cognitive sciences Neural oscillations Contingent negative variation lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry Visual Cortex Physics Crossmodal medicine.diagnostic_test Beta band 05 social sciences Magnetoencephalography Electroencephalography Visual cortex medicine.anatomical_structure Neurology Acoustic Stimulation Delta Rhythm Touch Female Beta Rhythm Neuroscience 030217 neurology & neurosurgery |
| Zdroj: | NeuroImage, Vol 224, Iss, Pp 117376-(2021) |
| ISSN: | 1095-9572 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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