Persistent Homology-Based Topological Analysis on the Gestalt Patterns during Human Brain Cognition Process

The neuropsychological characteristics inside the brain are still not sufficiently understood in previous Gestalt psychological analyses. In particular, the extraction and analysis of human brain consciousness information itself have not received enough attention for the time being. In this paper, w...

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Autores principales:	Zaisheng Liu, Fei Ni, Rongpeng Li, Honggang Zhang, Chang Liu, Jiefang Zhang, Songyun Xie
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Medicine (General) R5-920 Medical technology R855-855.5
Acceso en línea:	https://doaj.org/article/191954ae75f34ca591f7e0aa4863a76d
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spelling	oai:doaj.org-article:191954ae75f34ca591f7e0aa4863a76d2021-11-15T01:20:04ZPersistent Homology-Based Topological Analysis on the Gestalt Patterns during Human Brain Cognition Process2040-230910.1155/2021/2334332https://doaj.org/article/191954ae75f34ca591f7e0aa4863a76d2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/2334332https://doaj.org/toc/2040-2309The neuropsychological characteristics inside the brain are still not sufficiently understood in previous Gestalt psychological analyses. In particular, the extraction and analysis of human brain consciousness information itself have not received enough attention for the time being. In this paper, we aim to investigate the features of EEG signals from different conscious thoughts. Specifically, we try to extract the physiologically meaningful features of the brain responding to different contours and shapes in images in Gestalt cognitive tests by combining persistent homology analysis with electroencephalogram (EEG). The experimental results show that more brain regions in the frontal lobe are involved when the subject perceives the random and disordered combination of images compared to the ordered Gestalt images. Meanwhile, the persistence entropy of EEG data evoked by random sequence diagram (RSD) is significantly different from that evoked by the ordered Gestalt (GST) images in several frequency bands, which indicate that the human cognition of the shape and contour of images can be separated to some extent through topological analysis. This implies the feasibility to digitize the neural signals while preserving the whole and local features of the original signals, which are further verified by our extensive experiments. In general, this paper evaluates and quantifies cognitively related neural correlates by persistent homology features of EEG signals, which provides an approach to realizing the digitization of neural signals. Preliminary verification of the analyzability of human consciousness signals provides reliable research ideas and directions for the realization of feature extraction and analysis of human brain consciousness cognition.Zaisheng LiuFei NiRongpeng LiHonggang ZhangChang LiuJiefang ZhangSongyun XieHindawi LimitedarticleMedicine (General)R5-920Medical technologyR855-855.5ENJournal of Healthcare Engineering, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine (General) R5-920 Medical technology R855-855.5
spellingShingle	Medicine (General) R5-920 Medical technology R855-855.5 Zaisheng Liu Fei Ni Rongpeng Li Honggang Zhang Chang Liu Jiefang Zhang Songyun Xie Persistent Homology-Based Topological Analysis on the Gestalt Patterns during Human Brain Cognition Process
description	The neuropsychological characteristics inside the brain are still not sufficiently understood in previous Gestalt psychological analyses. In particular, the extraction and analysis of human brain consciousness information itself have not received enough attention for the time being. In this paper, we aim to investigate the features of EEG signals from different conscious thoughts. Specifically, we try to extract the physiologically meaningful features of the brain responding to different contours and shapes in images in Gestalt cognitive tests by combining persistent homology analysis with electroencephalogram (EEG). The experimental results show that more brain regions in the frontal lobe are involved when the subject perceives the random and disordered combination of images compared to the ordered Gestalt images. Meanwhile, the persistence entropy of EEG data evoked by random sequence diagram (RSD) is significantly different from that evoked by the ordered Gestalt (GST) images in several frequency bands, which indicate that the human cognition of the shape and contour of images can be separated to some extent through topological analysis. This implies the feasibility to digitize the neural signals while preserving the whole and local features of the original signals, which are further verified by our extensive experiments. In general, this paper evaluates and quantifies cognitively related neural correlates by persistent homology features of EEG signals, which provides an approach to realizing the digitization of neural signals. Preliminary verification of the analyzability of human consciousness signals provides reliable research ideas and directions for the realization of feature extraction and analysis of human brain consciousness cognition.
format	article
author	Zaisheng Liu Fei Ni Rongpeng Li Honggang Zhang Chang Liu Jiefang Zhang Songyun Xie
author_facet	Zaisheng Liu Fei Ni Rongpeng Li Honggang Zhang Chang Liu Jiefang Zhang Songyun Xie
author_sort	Zaisheng Liu
title	Persistent Homology-Based Topological Analysis on the Gestalt Patterns during Human Brain Cognition Process
title_short	Persistent Homology-Based Topological Analysis on the Gestalt Patterns during Human Brain Cognition Process
title_full	Persistent Homology-Based Topological Analysis on the Gestalt Patterns during Human Brain Cognition Process
title_fullStr	Persistent Homology-Based Topological Analysis on the Gestalt Patterns during Human Brain Cognition Process
title_full_unstemmed	Persistent Homology-Based Topological Analysis on the Gestalt Patterns during Human Brain Cognition Process
title_sort	persistent homology-based topological analysis on the gestalt patterns during human brain cognition process
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/191954ae75f34ca591f7e0aa4863a76d
work_keys_str_mv	AT zaishengliu persistenthomologybasedtopologicalanalysisonthegestaltpatternsduringhumanbraincognitionprocess AT feini persistenthomologybasedtopologicalanalysisonthegestaltpatternsduringhumanbraincognitionprocess AT rongpengli persistenthomologybasedtopologicalanalysisonthegestaltpatternsduringhumanbraincognitionprocess AT honggangzhang persistenthomologybasedtopologicalanalysisonthegestaltpatternsduringhumanbraincognitionprocess AT changliu persistenthomologybasedtopologicalanalysisonthegestaltpatternsduringhumanbraincognitionprocess AT jiefangzhang persistenthomologybasedtopologicalanalysisonthegestaltpatternsduringhumanbraincognitionprocess AT songyunxie persistenthomologybasedtopologicalanalysisonthegestaltpatternsduringhumanbraincognitionprocess
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Persistent Homology-Based Topological Analysis on the Gestalt Patterns during Human Brain Cognition Process

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