Alpha-Band Phase Modulates Bottom-up Feature Processing

Author:

Jia Jianrong123ORCID,Fan Ying456,Luo Huan456

Affiliation:

1. Center for Cognition and Brain Disorders of Affiliated Hospital, Hangzhou Normal University, Hangzhou, Zhejiang 310015, China

2. Institute of Psychological Sciences, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China

3. Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China

4. School of Psychological and Cognitive Sciences, Peking University, Beijing 100871, China

5. IDG/McGovern Institute for Brain Research, Peking University, Beijing 100871, China

6. Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing 100871, China

Abstract

Abstract Recent studies reveal that attention operates in a rhythmic manner, that is, sampling each location or feature alternatively over time. However, most evidence derives from top-down tasks, and it remains elusive whether bottom-up processing also entails dynamic coordination. Here, we developed a novel feature processing paradigm and combined time-resolved behavioral measurements and electroencephalogram (EEG) recordings to address the question. Specifically, a salient color in a multicolor display serves as a noninformative cue to capture attention and presumably reset the oscillations of feature processing. We then measured the behavioral performance of a probe stimulus associated with either high- or low-salient color at varied temporal lags after the cue. First, the behavioral results (i.e., reaction time) display an alpha-band (~8 Hz) profile with a consistent phase lag between high- and low-salient conditions. Second, simultaneous EEG recordings show that behavioral performance is modulated by the phase of alpha-band neural oscillation at the onset of the probes. Finally, high- and low-salient probes are associated with distinct preferred phases of alpha-band neural oscillations. Taken together, our behavioral and neural results convergingly support a central function of alpha-band rhythms in feature processing, that is, features with varied saliency levels are processed at different phases of alpha neural oscillations.

Funder

National Natural Science Foundation of China

Hangzhou Normal University

Beijing Municipal Science and Technology Commission

Publisher

Oxford University Press (OUP)

Subject

Cellular and Molecular Neuroscience,Cognitive Neuroscience

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