The causal role of α-oscillations in feature binding

• Published in: Proceedings of the National Academy of Sciences - PNAS Vol. 116; no. 34; pp. 17023 - 17028
• Main Authors: Zhang, Yanyu, Zhang, Yifei, Cai, Peng, Luo, Huan, Fang, Fang
• Format: Journal Article
• Language: English
• Published: United States National Academy of Sciences 20.08.2019
• Subjects: Adult; Alpha Rhythm - physiology; Binding; Biological Sciences; Brain; Brain - physiology; Cognition; Cognition - physiology; Conduction; EEG; Electroencephalography; Humans; Male; Oscillations; Social Sciences; Switching theory; Visual Perception - physiology; individual α-frequency (IAF); transcranial alternating current stimulation (tACS); brain oscillations; electroencephalogram (EEG); visual feature binding
• ISSN: 0027-8424; 1091-6490; 1091-6490
• DOI: 10.1073/pnas.1904160116

The binding problem—how to integrate features into objects—poses a fundamental challenge for the brain. Neural oscillations, especially γ-oscillations, have been proposed as a potential mechanism to solve this problem. However, since γ-oscillations usually reflect local neural activity, how to implement feature binding involving a large-scale brain network remains largely unknown. Here, combining electroencephalogram (EEG) and transcranial alternating current stimulation (tACS), we employed a bistable color-motion binding stimulus to probe the role of neural oscillations in feature binding. Subjects’ perception of the stimulus switched between its physical binding and its illusory (active) binding. The active binding has been shown to involve a large-scale network consisting of spatially distant brain areas. α-Oscillations presumably reflect the dynamics of such large-scale networks, especially due to volume conduction effects in EEG. We found that, relative to the physical binding, the α-power decreased during the active binding. Additionally, individual α-power was negatively correlated with the time proportion of the active binding. Subjects’ perceptual switch rate between the 2 bindings was positively correlated with their individual α-frequency. Furthermore, applying tACS at individual α-frequency decreased the time proportion of the active binding. Moreover, delivering tACS at different temporal frequencies in the α-band changed subjects’ perceptual switch rate through affecting the active binding process. Our findings provide converging evidence for the causal role of α-oscillations in feature binding, especially in active feature binding, thereby uncovering a function of α-oscillations in human cognition.