Abstract
Human perception fluctuates with the phase of neural oscillations in the presence of environmental rhythmic structure by which neural oscillations become entrained. However, in the absence of predictability afforded by rhythmic structure, we hypothesize that the neural dynamical states associated with optimal psychophysical performance are more complex than what has been described previously for rhythmic stimuli. The current electroencephalography study characterized the brain dynamics associated with optimal detection of gaps embedded in narrow-band acoustic noise stimuli lacking low-frequency rhythmic structure. Optimal gap detection was associated with three spectrotemporally distinct delta-governed neural microstates. Individual microstates were characterized by unique instantaneous combinations of neural phase in the delta, theta, and alpha frequency bands. Critically, gap detection was not predictable from local fluctuations in stimulus acoustics. The current results suggest that, in the absence of rhythmic structure to entrain neural oscillations, good performance hinges on complex neural states that vary from moment to moment.
| Original language | English |
|---|---|
| Journal | Journal of Neuroscience |
| Volume | 36 |
| Issue number | 3 |
| Pages (from-to) | 860-871 |
| Number of pages | 12 |
| ISSN | 0270-6474 |
| DOIs | |
| Publication status | Published - 20.01.2016 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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SDG 5 Gender Equality
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SDG 10 Reduced Inequalities
Research Areas and Centers
- Academic Focus: Center for Brain, Behavior and Metabolism (CBBM)
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