Decoding the Temporal Dynamics of Covert Spatial Attention Using Multivariate EEG Analysis: Contributions of Raw Amplitude and Alpha Power

Attention can be oriented in space covertly without the need of eye movements. We used multivariate pattern classification analyses (MVPA) to investigate whether the time course of the deployment of covert spatial attention leading up to the observer’s perceptual decision can be decoded from both EE...

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Bibliographic Details
Published in:Frontiers in human neuroscience 2020-10, Vol.14, p.570419-570419
Main Authors: Desantis, Andrea, Chan-Hon-Tong, Adrien, Collins, Thérèse, Hogendoorn, Hinze, Cavanagh, Patrick
Format: Article
Language:English
Subjects:
alpha oscillations
Computer Science
covert spatial attention
EEG
EEG decoding
Electrodes
Electroencephalography
Engineering Sciences
Experiments
Eye movements
Mathematics
multivariate pattern classification
Neuroscience
Physics
raw activity
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Summary:Attention can be oriented in space covertly without the need of eye movements. We used multivariate pattern classification analyses (MVPA) to investigate whether the time course of the deployment of covert spatial attention leading up to the observer’s perceptual decision can be decoded from both EEG alpha power and raw activity traces. Decoding attention from these signals can help determine whether raw EEG signals and alpha power reflect the same or distinct features of attentional selection. Using a classical cueing task, we showed that the orientation of covert spatial attention can be decoded by both signals. However, raw activity and alpha power may reflect different features of spatial attention, with alpha power more associated with the orientation of covert attention in space and raw activity with the influence of attention on perceptual processes.
ISSN:1662-5161
1662-5161
DOI:10.3389/fnhum.2020.570419