Zhiguo Luo
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View article: Identification of Oxidative Stress-Related Shared Biomarkers in Vitiligo and Periodontitis: A Bioinformatics and Machine Learning Study
Identification of Oxidative Stress-Related Shared Biomarkers in Vitiligo and Periodontitis: A Bioinformatics and Machine Learning Study Open
Our study has identified PTGS2, CCL5, and PRDX4 as key biomarkers for vitiligo and periodontitis, two diseases linked by similar immune infiltration patterns. These biomarkers offer new diagnostic insights and potential therapeutic targets.
View article: Recent Advances in Portable Dry Electrode EEG: Architecture and Applications in Brain-Computer Interfaces
Recent Advances in Portable Dry Electrode EEG: Architecture and Applications in Brain-Computer Interfaces Open
As brain–computer interface (BCI) technology continues to advance, research on human brain function has gradually transitioned from theoretical investigation to practical engineering applications. To support EEG signal acquisition in a var…
View article: A.2 Cognitive outcomes of deep brain stimulation depend upon subiculum connectivity
A.2 Cognitive outcomes of deep brain stimulation depend upon subiculum connectivity Open
Background: Recent research has demonstrated that DBS sites in Alzheimer’s (AD) and Parkinson’s (PD) influencing cognition are functionally connected to the subiculum. However, the results are mixed, and it is unclear how or if DBS site-su…
View article: The Adiponectin-PP2A Pathway Confers Cognitive Benefits of Physical Exercise Against Chronic Stress-Induced Tau Hyperphosphorylation in the Hippocampus
The Adiponectin-PP2A Pathway Confers Cognitive Benefits of Physical Exercise Against Chronic Stress-Induced Tau Hyperphosphorylation in the Hippocampus Open
View article: DECAN: A Denoising Encoder via Contrastive Alignment Network for Dry Electrode EEG Emotion Recognition
DECAN: A Denoising Encoder via Contrastive Alignment Network for Dry Electrode EEG Emotion Recognition Open
EEG signal is important for brain-computer interfaces (BCI). Nevertheless, existing dry and wet electrodes are difficult to balance between high signal-to-noise ratio and portability in EEG recording, which limits the practical use of BCI.…
View article: Sleep deprivation changes frequency-specific functional organization of the resting human brain
Sleep deprivation changes frequency-specific functional organization of the resting human brain Open
Previous resting-state functional magnetic resonance imaging (rs-fMRI) studies have widely explored the temporal connection changes in the human brain following long-term sleep deprivation (SD). However, the frequency-specific topological …
View article: Frequency-specific segregation and integration of human cerebral cortex: An intrinsic functional atlas
Frequency-specific segregation and integration of human cerebral cortex: An intrinsic functional atlas Open
View article: Effect of Phase Clustering Bias on Phase-Amplitude Coupling for Emotional EEG
Effect of Phase Clustering Bias on Phase-Amplitude Coupling for Emotional EEG Open
Background: Emotions are thought to be related to distinct patterns of neural oscillations, but the interactions among multi-frequency neural oscillations during different emotional states lack full exploration. Phase-amplitude coupling is…
View article: Fusion of Multi-domain EEG Signatures Improves Emotion Recognition
Fusion of Multi-domain EEG Signatures Improves Emotion Recognition Open
Background: Affective computing has gained increasing attention in the area of the human-computer interface where electroencephalography (EEG)-based emotion recognition occupies an important position. Nevertheless, the diversity of emotion…
View article: Classification of EEG Signals Based on Sparrow Search Algorithm-Deep Belief Network for Brain-Computer Interface
Classification of EEG Signals Based on Sparrow Search Algorithm-Deep Belief Network for Brain-Computer Interface Open
In brain-computer interface (BCI) systems, challenges are presented by the recognition of motor imagery (MI) brain signals. Established recognition approaches have achieved favorable performance from patterns like SSVEP, AEP, and P300, whe…
View article: An Improved Canonical Correlation Analysis for EEG Inter-Band Correlation Extraction
An Improved Canonical Correlation Analysis for EEG Inter-Band Correlation Extraction Open
(1) Background: Emotion recognition based on EEG signals is a rapidly growing and promising research field in affective computing. However, traditional methods have focused on single-channel features that reflect time-domain or frequency-d…
View article: The increasing instance of negative emotion reduce the performance of emotion recognition
The increasing instance of negative emotion reduce the performance of emotion recognition Open
Introduction Emotion recognition plays a crucial role in affective computing. Recent studies have demonstrated that the fuzzy boundaries among negative emotions make recognition difficult. However, to the best of our knowledge, no formal s…
View article: Spatial localization in target detection based on decoding N2pc component
Spatial localization in target detection based on decoding N2pc component Open
The spatial coding paradigm proposed in this paper answered both "True/False" and "Left/Right" questions by decoding spatial attention information. This method could significantly improve image detection efficiencies, such as visual search…
View article: Adaptive asynchronous control system of robotic arm based on augmented reality-assisted brain–computer interface
Adaptive asynchronous control system of robotic arm based on augmented reality-assisted brain–computer interface Open
Objective . Brain-controlled robotic arms have shown broad application prospects with the development of robotics, science and information decoding. However, disadvantages, such as poor flexibility restrict its wide application. Approach .…
View article: Frequency-specific segregation and integration of human cerebral cortex: an intrinsic functional atlas
Frequency-specific segregation and integration of human cerebral cortex: an intrinsic functional atlas Open
The frequency-specific coupling mechanism of the functional human brain networks underpins its complex cognitive and behavioral functions. Nevertheless, it is not well unveiled what are the frequency-specific subdivisions and network topol…
View article: Data Augmentation: Using Channel-Level Recombination to Improve Classification Performance for Motor Imagery EEG
Data Augmentation: Using Channel-Level Recombination to Improve Classification Performance for Motor Imagery EEG Open
The quality and quantity of training data are crucial to the performance of a deep-learning-based brain-computer interface (BCI) system. However, it is not practical to record EEG data over several long calibration sessions. A promising ti…
View article: Corrigendum: Gender Identification of Human Cortical 3-D Morphology Using Hierarchical Sparsity
Corrigendum: Gender Identification of Human Cortical 3-D Morphology Using Hierarchical Sparsity Open
[This corrects the article DOI: 10.3389/fnhum.2019.00029.].
View article: Gender identification based on human brain structural MRI with a multi‐layer 3D convolution extreme learning machine
Gender identification based on human brain structural MRI with a multi‐layer 3D convolution extreme learning machine Open
Previous group‐level neuroimaging studies have shown significant gender differences in the human brain. Research on sex‐specific brain differences in healthy individuals is an important base for understanding sex‐specific expression in psy…
View article: Gender Identification of Human Cortical 3-D Morphology Using Hierarchical Sparsity
Gender Identification of Human Cortical 3-D Morphology Using Hierarchical Sparsity Open
Difference exists widely in cognition, behavior and psychopathology between males and females, while the underlying neurobiology is still unclear. As brain structure is the fundament of its function, getting insight into structural brain m…
View article: Changes in the Network Eigen Entropy of resting-state functional brains across the lifespan
Changes in the Network Eigen Entropy of resting-state functional brains across the lifespan Open
The brain is a dynamic and complex network formed by hierarchical interconnections among functional regions and neural systems across lifespan.Recent studies using graph theory explore the functional organization of resting-state brains ha…