Multivariate ERP Analysis of Neural Activations Underlying Processing of Aesthetically Manipulated Self-Face

Representation of self-face is vulnerable to cognitive bias, and consequently, people often possess a distorted image of self-face. The present study sought to investigate the neural mechanism underlying distortion of self-face representation by measuring event-related potentials (ERPs) elicited by...

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Main Author: Hirokazu Doi
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/12/24/13007
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author Hirokazu Doi
author_facet Hirokazu Doi
author_sort Hirokazu Doi
collection DOAJ
description Representation of self-face is vulnerable to cognitive bias, and consequently, people often possess a distorted image of self-face. The present study sought to investigate the neural mechanism underlying distortion of self-face representation by measuring event-related potentials (ERPs) elicited by actual, aesthetically enhanced, and degraded images of self-face. In addition to conventional analysis of ERP amplitude and global field power, multivariate analysis based on machine learning of single trial data were integrated into the ERP analysis. The multivariate analysis revealed differential pattern of scalp ERPs at a long latency range to self and other familiar faces when they were original or aesthetically degraded. The analyses of ERP amplitude and global field power failed to find any effects of experimental manipulation during long-latency range. The present results indicate the susceptibility of neural correlates of self-face representation to aesthetical manipulation and the usefulness of the machine learning approach in clarifying the neural mechanism underlying self-face processing.
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spelling doaj.art-7342b6da30c04d71bfc88973dc5a9ffc2023-11-24T13:08:34ZengMDPI AGApplied Sciences2076-34172022-12-0112241300710.3390/app122413007Multivariate ERP Analysis of Neural Activations Underlying Processing of Aesthetically Manipulated Self-FaceHirokazu Doi0School of Science and Engineering, Kokushikan University, 4-28-1 Setagaya, Setagaya-ku, Tokyo 154-8515, JapanRepresentation of self-face is vulnerable to cognitive bias, and consequently, people often possess a distorted image of self-face. The present study sought to investigate the neural mechanism underlying distortion of self-face representation by measuring event-related potentials (ERPs) elicited by actual, aesthetically enhanced, and degraded images of self-face. In addition to conventional analysis of ERP amplitude and global field power, multivariate analysis based on machine learning of single trial data were integrated into the ERP analysis. The multivariate analysis revealed differential pattern of scalp ERPs at a long latency range to self and other familiar faces when they were original or aesthetically degraded. The analyses of ERP amplitude and global field power failed to find any effects of experimental manipulation during long-latency range. The present results indicate the susceptibility of neural correlates of self-face representation to aesthetical manipulation and the usefulness of the machine learning approach in clarifying the neural mechanism underlying self-face processing.https://www.mdpi.com/2076-3417/12/24/13007faceselfERPmultivariate analysistemporal generalization
spellingShingle Hirokazu Doi
Multivariate ERP Analysis of Neural Activations Underlying Processing of Aesthetically Manipulated Self-Face
Applied Sciences
face
self
ERP
multivariate analysis
temporal generalization
title Multivariate ERP Analysis of Neural Activations Underlying Processing of Aesthetically Manipulated Self-Face
title_full Multivariate ERP Analysis of Neural Activations Underlying Processing of Aesthetically Manipulated Self-Face
title_fullStr Multivariate ERP Analysis of Neural Activations Underlying Processing of Aesthetically Manipulated Self-Face
title_full_unstemmed Multivariate ERP Analysis of Neural Activations Underlying Processing of Aesthetically Manipulated Self-Face
title_short Multivariate ERP Analysis of Neural Activations Underlying Processing of Aesthetically Manipulated Self-Face
title_sort multivariate erp analysis of neural activations underlying processing of aesthetically manipulated self face
topic face
self
ERP
multivariate analysis
temporal generalization
url https://www.mdpi.com/2076-3417/12/24/13007
work_keys_str_mv AT hirokazudoi multivariateerpanalysisofneuralactivationsunderlyingprocessingofaestheticallymanipulatedselfface