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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Frontiers Media S.A.
2020-10-01
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Series: | Frontiers in Human Neuroscience |
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Online Access: | https://www.frontiersin.org/article/10.3389/fnhum.2020.570419/full |
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author | Andrea Desantis Andrea Desantis Andrea Desantis Adrien Chan-Hon-Tong Thérèse Collins Hinze Hogendoorn Hinze Hogendoorn Patrick Cavanagh Patrick Cavanagh Patrick Cavanagh |
author_facet | Andrea Desantis Andrea Desantis Andrea Desantis Adrien Chan-Hon-Tong Thérèse Collins Hinze Hogendoorn Hinze Hogendoorn Patrick Cavanagh Patrick Cavanagh Patrick Cavanagh |
author_sort | Andrea Desantis |
collection | DOAJ |
description | 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. |
first_indexed | 2024-12-21T01:31:14Z |
format | Article |
id | doaj.art-199aeeec5ebb45c8b31eb2a85dc0889b |
institution | Directory Open Access Journal |
issn | 1662-5161 |
language | English |
last_indexed | 2024-12-21T01:31:14Z |
publishDate | 2020-10-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Human Neuroscience |
spelling | doaj.art-199aeeec5ebb45c8b31eb2a85dc0889b2022-12-21T19:20:22ZengFrontiers Media S.A.Frontiers in Human Neuroscience1662-51612020-10-011410.3389/fnhum.2020.570419570419Decoding the Temporal Dynamics of Covert Spatial Attention Using Multivariate EEG Analysis: Contributions of Raw Amplitude and Alpha PowerAndrea Desantis0Andrea Desantis1Andrea Desantis2Adrien Chan-Hon-Tong3Thérèse Collins4Hinze Hogendoorn5Hinze Hogendoorn6Patrick Cavanagh7Patrick Cavanagh8Patrick Cavanagh9Département Traitement de l’Information et Systèmes, ONERA, Palaiseau, FranceIntegrative Neuroscience and Cognition Center (UMR 8002), CNRS and Université de Paris, Paris, FranceInstitut de Neurosciences de la Timone (UMR 7289), CNRS and Aix-Marseille Université, Marseille, FranceDépartement Traitement de l’Information et Systèmes, ONERA, Palaiseau, FranceIntegrative Neuroscience and Cognition Center (UMR 8002), CNRS and Université de Paris, Paris, FranceMelbourne School of Psychological Sciences, The University of Melbourne, Melbourne, VIC, AustraliaDepartment of Experimental Psychology, Helmholtz Institute, Utrecht University, Utrecht, NetherlandsIntegrative Neuroscience and Cognition Center (UMR 8002), CNRS and Université de Paris, Paris, FranceDepartment of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, United StatesDepartment of Psychology, Glendon College, North York, ON, CanadaAttention 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.https://www.frontiersin.org/article/10.3389/fnhum.2020.570419/fullEEG decodingmultivariate pattern classificationcovert spatial attentionraw activityalpha oscillations |
spellingShingle | Andrea Desantis Andrea Desantis Andrea Desantis Adrien Chan-Hon-Tong Thérèse Collins Hinze Hogendoorn Hinze Hogendoorn Patrick Cavanagh Patrick Cavanagh Patrick Cavanagh Decoding the Temporal Dynamics of Covert Spatial Attention Using Multivariate EEG Analysis: Contributions of Raw Amplitude and Alpha Power Frontiers in Human Neuroscience EEG decoding multivariate pattern classification covert spatial attention raw activity alpha oscillations |
title | Decoding the Temporal Dynamics of Covert Spatial Attention Using Multivariate EEG Analysis: Contributions of Raw Amplitude and Alpha Power |
title_full | Decoding the Temporal Dynamics of Covert Spatial Attention Using Multivariate EEG Analysis: Contributions of Raw Amplitude and Alpha Power |
title_fullStr | Decoding the Temporal Dynamics of Covert Spatial Attention Using Multivariate EEG Analysis: Contributions of Raw Amplitude and Alpha Power |
title_full_unstemmed | Decoding the Temporal Dynamics of Covert Spatial Attention Using Multivariate EEG Analysis: Contributions of Raw Amplitude and Alpha Power |
title_short | Decoding the Temporal Dynamics of Covert Spatial Attention Using Multivariate EEG Analysis: Contributions of Raw Amplitude and Alpha Power |
title_sort | decoding the temporal dynamics of covert spatial attention using multivariate eeg analysis contributions of raw amplitude and alpha power |
topic | EEG decoding multivariate pattern classification covert spatial attention raw activity alpha oscillations |
url | https://www.frontiersin.org/article/10.3389/fnhum.2020.570419/full |
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