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Symmetry
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Advances in Symmetry/Asymmetry and Biomedical Engineering
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Advances in Symmetry/Asymmetry and Biomedical Engineering

A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Life Sciences".

Deadline for manuscript submissions: 31 March 2026 | Viewed by 3238

Special Issue Editors

Prof. Dr. Yingwei Li

E-Mail Website
Guest Editor
School of Information Science and Engineering, Yanshan University, Qinhuangdao 066004, China
Interests: neuroscience and neural engineering; low-intensity pulsed ultrasound; biomedical; brain imaging; technology; neuroscience and neuroengineering; industrial intelligent monitoring and diagnosis
Prof. Dr. Xiaoli Li

E-Mail Website
Guest Editor
State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China
Interests: neural engnieering; neural signal processing; neuromodulation
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue focuses on the forefront advances in symmetry and asymmetry in the field of biomedical engineering, covering the latest research achievements and technological breakthroughs in various directions, including brain science, vascular disease assessment and diagnosis, cognitive neuroscience, motion and rehabilitation, and more. The aim is to deepen our understanding and application of these concepts in biomedical engineering. This Special Issue pays particular attention to the application and potential of symmetry and asymmetry research in vascular diseases and neurological dysfunction evaluation, diagnosis, and therapeutic interventions, especially regarding stroke or arteriosclerosis biomarkers, brain functional network connectivity, and multi-brain neural synchronization.

For this Special Issue, we invite authors with relevant manuscripts to submit high-quality research papers and systematic reviews to collectively explore and promote innovative research and practical applications of symmetry and asymmetry in biomedical engineering.

We look forward to receiving your contributions.

Prof. Dr. Yingwei Li
Prof. Dr. Xiaoli Li
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Symmetry is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • vascular disease
  • biomarkers
  • brain science
  • cognitive neuroscience
  • neurological dysfunctions
  • brain functional network connectivity
  • hyperscanning
  • motion and rehabilitation

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (3 papers)

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Research

27 pages, 16191 KB  
Article
Far Transfer Effects of Multi-Task Gamified Cognitive Training on Simulated Flight: Short-Term Theta and Alpha Signal Changes and Asymmetry Changes
by Peng Ding, Chen Li, Zhengxuan Zhou, Yang Xiang, Shaodi Wang, Xiaofei Song and Yingwei Li
Symmetry 2025, 17(10), 1627; https://doi.org/10.3390/sym17101627 - 1 Oct 2025
Viewed by 326
Abstract
Cognitive deficiencies are significant factors affecting aviation piloting capabilities. However, due to the limited stability resulting from the insufficient appeal of traditional attention or memory cognitive training, multi-task gamified cognitive training (MTGCT) may be more beneficial in generating far transfer effects in task [...] Read more.
Cognitive deficiencies are significant factors affecting aviation piloting capabilities. However, due to the limited stability resulting from the insufficient appeal of traditional attention or memory cognitive training, multi-task gamified cognitive training (MTGCT) may be more beneficial in generating far transfer effects in task performance. This study explores the enhancement effects of simulated flight operation capabilities based on visuo-spatial attention and working memory MTGCT. Additionally, we explore the neurophysiological impacts through changes in EEG power spectral density (PSD) characteristics and brain asymmetry, and whether these impacts exhibit a certain retention effect. This study designed a 28-day simulated flight operation capability enhancement experiment. In addition, the behavioral performance and EEG signal changes in 28 college students (divided into control and training groups) were analyzed. The results indicated that MTGCT significantly enhanced simulated flight operational capabilities, and the neural framework formed by physiological changes remains effective for at least two weeks. The physiological changes included a decrease in the θ band PSD and an increase in the α band PSD in the frontal and parietal lobes due to optimized cognitive resource allocation, as well as the frontal θ band leftward asymmetry and the frontoparietal α band rightward asymmetry due to the formation of neural activity patterns. These findings support, to some extent, the feasibility and effectiveness of using MTGCT as a periodic training method to enhance the operational and cognitive abilities of aviation personnel. Full article
(This article belongs to the Special Issue Advances in Symmetry/Asymmetry and Biomedical Engineering)
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32 pages, 6748 KB  
Article
Spatial Cognitive Electroencephalogram Network Topological Features Extraction Based on Cross Fuzzy Entropy Network Graph
by Yanhong Zhou, Xulong Liu, Dong Wen, Shuang Xu, Xianglong Wan and Huibin Lu
Symmetry 2025, 17(2), 243; https://doi.org/10.3390/sym17020243 - 6 Feb 2025
Cited by 3 | Viewed by 1160
Abstract
Spatial cognition, a critical component of human cognitive function, can be enhanced through targeted training, such as virtual reality (VR)-based interventions. Recent advances in electroencephalography (EEG)-based functional connectivity analysis have highlighted the importance of network topology features for understanding cognitive processes. In this [...] Read more.
Spatial cognition, a critical component of human cognitive function, can be enhanced through targeted training, such as virtual reality (VR)-based interventions. Recent advances in electroencephalography (EEG)-based functional connectivity analysis have highlighted the importance of network topology features for understanding cognitive processes. In this paper, a framework based on a cross fuzzy entropy network graph (CFENG) is proposed to extract spatial cognitive EEG network topological features. This framework involves calculating the similarity and symmetry between EEG channels using cross fuzzy entropy, constructing weighted directed network graphs, transforming one-dimensional EEG signals into two-dimensional brain functional connectivity networks, and extracting both local and global topological features. The model’s performance is evaluated and interpreted using an XGBoost classifier. Experiments on an EEG dataset from group spatial cognitive training validated the CFENG model. In the Gamma band, the CFENG achieved 97.82% classification accuracy, outperforming existing methods. Notably, the asymmetrically distributed EEG channels Fp1, P8, and Cz contributed most to spatial cognitive signal classification. An analysis after 28 days of training revealed that specific VR games enhanced functional centrality in spatial cognition-related brain regions, reduced information flow path length, and altered information flow symmetry. These findings support the feasibility of VR-based spatial cognitive training from a brain functional connectivity perspective. Full article
(This article belongs to the Special Issue Advances in Symmetry/Asymmetry and Biomedical Engineering)
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34 pages, 13140 KB  
Article
Characterization of Spatial Cognitive EEG Signals Using Normalized Adjusted Permutation Conditional Mutual Information
by Xianglong Wan, Yue Sun, Zhenzhen Wu and Dong Wen
Symmetry 2025, 17(1), 130; https://doi.org/10.3390/sym17010130 - 17 Jan 2025
Cited by 3 | Viewed by 1211
Abstract
Spatial cognitive ability, a fundamental domain within the human cognitive system, involves the perception, interpretation, and manipulation of spatial environments. This study introduces a new EEG feature extraction algorithm, Normalized Adjusted Permutation Conditional Mutual Information (NAPCMI), to improve the accuracy of spatial cognition [...] Read more.
Spatial cognitive ability, a fundamental domain within the human cognitive system, involves the perception, interpretation, and manipulation of spatial environments. This study introduces a new EEG feature extraction algorithm, Normalized Adjusted Permutation Conditional Mutual Information (NAPCMI), to improve the accuracy of spatial cognition assessments. By capturing the symmetry and temporal dependencies within EEG signals during spatial cognition tasks, NAPCMI enhances the ability to extract relevant features. The study validates NAPCMI using a BCI-VR spatial cognition assessment system, incorporating gesture recognition. Results demonstrate that NAPCMI outperforms traditional methods in feature extraction, highlighting its potential for advancing the understanding and assessment of spatial cognitive abilities. The findings also emphasize the significance of specific EEG frequency bands, such as Delta and Beta1, in spatial cognition tasks, further validating NAPCMI’s effectiveness. Full article
(This article belongs to the Special Issue Advances in Symmetry/Asymmetry and Biomedical Engineering)
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