期刊
JOURNAL OF NEUROSCIENCE
卷 34, 期 14, 页码 4837-4844出版社
SOC NEUROSCIENCE
DOI: 10.1523/JNEUROSCI.4856-13.2014
关键词
alpha pulse; behavioral rhythm; cross-frequency coupling; precuing; rhythmic sampling; theta phase
资金
- Ministry of Science and Technology of China [2012CB825500]
- National Nature Science Foundation of China [31171075, 91120019, 31171081, 91132302]
- Chinese Academy of Sciences Strategic Priority Research Program B Grants [XDB02010100, XDB02050001]
Neuronal oscillations are ubiquitous in the brain and contribute to perception and attention. However, most associated evidence derives from post hoc correlations between brain dynamics and behavior. Although a few recent studies demonstrate rhythms in behavior, it remains largely unknown whether behavioral performances manifest spectrotemporal dynamics in a neurophysiologically relevant manner (e. g., the temporal modulation of ongoing oscillations, the cross-frequency coupling). To investigate the issue, we examined fine spectrotemporal dynamics of behavioral time courses in a large sample of human participants (n=49), by taking a high time-resolved psychophysical measurement in a precuing attentional task. We observed compelling dynamic oscillatory patterns directly in behavior. First, typical attentional effects are demonstrated in low-pass (0-2 Hz) filtered time courses of behavioral responses. Second, an uninformative peripheral cue elicits recurring alpha-band (8-20 Hz) pulses in behavioral performances, and the elicited alpha pulses for cued and uncued conditions are in a temporally alternating relationship. Finally, ongoing alpha-band power is phase locked to ongoing theta-bands (3-5 Hz) in behavioral time courses. Our findings constitute manifestation of oscillations at physiologically relevant rhythms and power-phase locking, as widely observed in neurophysiological recordings, in behavior. The findings suggest that behavioral performance actually consists of rich dynamic information and may reflect underlying neuronal oscillatory substrates. Our data also speak to a neural mechanism for item attention based on successive cycles (theta) of a sequential attentional sampling (alpha) process.
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