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Human Face Perception Using Electroencephalography and Magnetoencephalography

The face has a large amount of information that is useful for humans in social communication. Recently, non-invasive methods have been used to investigate human brain activity related to perception and cognition processes. Electroencephalography (EEG) and magnetoencephalography (MEG) have excellent...

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Autores principales: Miki, Kensaku, Takeshima, Yasuyuki, Watanabe, Shoko, Kakigi, Ryusuke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9008237/
https://www.ncbi.nlm.nih.gov/pubmed/35431988
http://dx.doi.org/10.3389/fphys.2022.803274
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author Miki, Kensaku
Takeshima, Yasuyuki
Watanabe, Shoko
Kakigi, Ryusuke
author_facet Miki, Kensaku
Takeshima, Yasuyuki
Watanabe, Shoko
Kakigi, Ryusuke
author_sort Miki, Kensaku
collection PubMed
description The face has a large amount of information that is useful for humans in social communication. Recently, non-invasive methods have been used to investigate human brain activity related to perception and cognition processes. Electroencephalography (EEG) and magnetoencephalography (MEG) have excellent temporal resolution and reasonably good spatial resolution. Therefore, they are useful to investigate time sequences of human brain activity related to the face perception process. In this review, we introduce our previous EEG and MEG studies of human face perception that demonstrated the following characteristics of face perception processing: (1) Event-related components in the temporal area related to the activity in the inferior temporal (IT) area, corresponding to the fusiform face area (FFA), are evoked approximately 180 msec after the presentation of a face. The activity in the IT area plays an important role in the detection processing of a face, and the contours of a face affect the activity in the IT areas. (2) Event-related components in the temporal area related to the superior temporal sulcus (STS) activity are larger when eyes are averted than when directly looking into the eyes. (3) The direction of features of a face affects the face perception processing in the right hemisphere. On the other hand, the matching of the direction between the contours and features of a face affects the processing in the left hemisphere. (4) Random dots blinking (RDB), which uses temporal changes in patterns of many small dots to present stimuli without a change in luminance during the presentation of a face, is a useful visual stimulus method to investigate the brain activity related to face perception processing in the IT area using EEG and MEG.
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spelling pubmed-90082372022-04-15 Human Face Perception Using Electroencephalography and Magnetoencephalography Miki, Kensaku Takeshima, Yasuyuki Watanabe, Shoko Kakigi, Ryusuke Front Physiol Physiology The face has a large amount of information that is useful for humans in social communication. Recently, non-invasive methods have been used to investigate human brain activity related to perception and cognition processes. Electroencephalography (EEG) and magnetoencephalography (MEG) have excellent temporal resolution and reasonably good spatial resolution. Therefore, they are useful to investigate time sequences of human brain activity related to the face perception process. In this review, we introduce our previous EEG and MEG studies of human face perception that demonstrated the following characteristics of face perception processing: (1) Event-related components in the temporal area related to the activity in the inferior temporal (IT) area, corresponding to the fusiform face area (FFA), are evoked approximately 180 msec after the presentation of a face. The activity in the IT area plays an important role in the detection processing of a face, and the contours of a face affect the activity in the IT areas. (2) Event-related components in the temporal area related to the superior temporal sulcus (STS) activity are larger when eyes are averted than when directly looking into the eyes. (3) The direction of features of a face affects the face perception processing in the right hemisphere. On the other hand, the matching of the direction between the contours and features of a face affects the processing in the left hemisphere. (4) Random dots blinking (RDB), which uses temporal changes in patterns of many small dots to present stimuli without a change in luminance during the presentation of a face, is a useful visual stimulus method to investigate the brain activity related to face perception processing in the IT area using EEG and MEG. Frontiers Media S.A. 2022-03-31 /pmc/articles/PMC9008237/ /pubmed/35431988 http://dx.doi.org/10.3389/fphys.2022.803274 Text en Copyright © 2022 Miki, Takeshima, Watanabe and Kakigi. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Physiology
Miki, Kensaku
Takeshima, Yasuyuki
Watanabe, Shoko
Kakigi, Ryusuke
Human Face Perception Using Electroencephalography and Magnetoencephalography
title Human Face Perception Using Electroencephalography and Magnetoencephalography
title_full Human Face Perception Using Electroencephalography and Magnetoencephalography
title_fullStr Human Face Perception Using Electroencephalography and Magnetoencephalography
title_full_unstemmed Human Face Perception Using Electroencephalography and Magnetoencephalography
title_short Human Face Perception Using Electroencephalography and Magnetoencephalography
title_sort human face perception using electroencephalography and magnetoencephalography
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9008237/
https://www.ncbi.nlm.nih.gov/pubmed/35431988
http://dx.doi.org/10.3389/fphys.2022.803274
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