Publications by authors named "Changyong Wang"

Background: Epilepsy is a chronic neurological disorder that affects individuals across all age groups. Early detection and intervention are crucial for minimizing both physical and psychological distress. However, the unpredictable nature of seizures presents considerable challenges for timely detection and accurate diagnosis.

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Background: Tactile imagery involves the reconstruction of sensory experiences without actual tactile input. While tactile perception and imagery exhibit similar spatial patterns of neural activation, the underlying neural dynamics, particularly cortical communications within the parietal network, remain unclear.

Methods: The present study recruited 5 patients with implanted stereo-electroencephalography (sEEG) electrodes and recorded sEEG data during texture scanning and imagery.

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Exploring multi-scale nonlinear patterns from different frequency bands in resting state electroencephalogram (EEG) signals is significant for major depressive disorder (MDD) detection. The study aims to investigate potential EEG biomarkers and realize cross-subject detection of MDD. This study used multiscale LZC (MLZC) to extract nonlinear features of resting state EEG.

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Tactile feedback is essential for grip force control when operating a neuroprosthesis. Due to limited knowledge of cortical sensorimotor coordination, artificial feedback is mostly counterintuitive, requiring training to be associated with grasping behaviors. The current study investigates sensorimotor communication by recording neural activities from the primary sensory cortex (S1) and the primary motor cortex (M1) while macaques grasp targets of various textures and loads.

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Background: Endoscopic and surgical treatment are the two most common treatment strategies for resectable esophageal cancer (EC), but the optimal treatment for T1b EC remains controversial. This study aims to compare the efficacy and safety of endoscopic treatment versus esophagectomy for T1b EC.

Methods: Web of Science, MEDLINE, Scopus, and EMBASE were searched from their inception to December 2023.

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We share a multi-subject and multi-session (MSS) dataset with 122-channel electroencephalographic (EEG) signals collected from 32 human participants. The data was obtained during serial visual presentation experiments in two paradigms. Dataset of first paradigm consists of around 800,000 trials presenting stimulus sequences at 5 Hz.

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Nanomaterial-based field-effect transistors (nano-FETs) are pivotal bioelectronic devices that are employed for the detection of biomolecular signals, cellular interactions, and tissue responses within biosystems. The performance of these nano-FETs is significantly influenced by the interfacial characteristics between the metal electrodes and semiconductor nanomaterials, necessitating precise regulation. While the piezotronic effect is a commonly employed method for regulation, it faces limitations in certain application scenarios, particularly settings.

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Deep brain stimulation and closed-loop electrical stimulation are considered among the most effective techniques for treating pharmacoresistant epilepsy. However, various neuromodulation techniques and corresponding stimulation parameters have different effects on controlling epileptic seizures. To enhance the ability of stimulating electrodes to regulate nerve activity, sulfonated silica nanoparticles (SNPs) loaded with the anti-seizure medication perampanel were used as dopants in the conductive polymer PEDOT to modify the implanted neural electrode.

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Article Synopsis
  • Traumatic brain injury (TBI) can result in serious cognitive decline and even death due to massive neuronal loss and neuroinflammation; a novel hydrogel was developed to address these issues.
  • The hydrogel, called GC/I/E, incorporates Erythropoietin for rapid neuroprotection and angiogenesis, along with Mesoporous silica nanoparticles loaded with Interleukin-4 for sustained inflammation modulation.
  • Experiments show that GC/I/E is biocompatible, reduces brain edema, improves vascular function, and enhances neuronal recovery, indicating its promising potential for treating TBI.
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Background: Anastomotic leakage (AL) is one of the severest complications after laparoscopic surgery for middle/low rectal cancer, significantly impacting patient outcomes. Identifying reliable predictive factors for AL remains a clinical challenge. Serum nutritional biomarkers have been implicated in surgical outcomes but are underexplored as predictive tools for AL in this setting.

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Background: Parkinson's disease (PD) is a neurodegenerative disease characterized by motor paralysis, tremor,and cognitive impairment. Risk factors such as brain hypoxia caused by aging and abnormal expression of HIF-1α areconsidered to be key to the development of PD, including α-synuclein accumulation and ferroptosis. However, therelationship between HIF-1α signaling and ferroptosis in PD has not been elucidated.

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Background: Triple-negative breast cancer (TNBC), a distinct subtype of breast cancer, is characterized by its high invasiveness, high metastatic potential, proneness to relapse, and poor prognosis. Effective treatment regimens for non-BRCA1/2 mutation TNBC are still lacking. As a result, there is a pressing clinical necessity to develop novel treatment approaches for non-BRCA1/2 mutation TNBC.

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In this study, we synthesized mesoporous polydopamine nanoparticles (MPDA NPs) using an emulsion-induced interface assembly strategy and loaded epigallocatechin gallate (EGCG) into MPDA NPs via electrostatic attraction to form EGCG@MPDA NPs. In the post myocardial infarction (MI) environment, these interventions specifically aimed to eliminate reactive oxygen species (ROS) and facilitate the repair of MI. We further combined them with a thermosensitive chitosan (CS) hydrogel to construct an injectable composite hydrogel (EGCG@MPDA/CS hydrogel).

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Article Synopsis
  • The whole heart decellularized extracellular matrix (ECM) is showing promise as a scaffold for cardiac tissue engineering, specifically in aiding the trans-differentiation of neural stem cells (NSCs) into cardiac cells.
  • Previous research indicated that this ECM has a "memory" function that helps guide NSCs, but the specific cell subtypes in this process were not well-understood until now.
  • Using single-cell RNA sequencing, the study identified 2,765 cells that revealed NSCs can differentiate into heart-like cells while still maintaining their ability to transform into neural cells, showing a dual lineage signature.
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Background: Lung adenocarcinoma is a high-mortality rate cancer. Within this category, Lung mucinous adenocarcinoma (LMAC) is a rare and distinct subtype of lung adenocarcinoma necessitating further investigation. The study was launched to compare the difference of survival features between LMAC and lung non-mucinous adenocarcinoma (LNMAC) and to investigate the significance and demand for developing a new staging system tailored to LMAC.

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The heterogeneity nature of sepsis is significantly impacted by the site of infection. This study aims to explore the predictive value of multiple scoring systems in assessing the prognosis of septic patients across different infection sites. Data for this retrospective cohort study were extracted from the Medical Information Mart for Intensive Care IV database (MIMIC-IV) (v2.

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Article Synopsis
  • The study investigates how different factors like concealment, size, and location of targets affect brain responses (ERPs) when using brain-computer interfaces (BCI) based on rapid serial visual presentation (RSVP) for target detection.
  • Results indicated that inconspicuous targets led to lower ERP amplitudes and decreased detection accuracy compared to more recognizable targets.
  • Additionally, a positive correlation was identified between participants' attention levels and their ability to detect camouflaged targets, suggesting a potential method for screening effective participants in BCI studies.
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Background: Meta-analyses have primarily focused on the effects of exercise-based prehabilitation on postoperative outcomes and ignored the role of nutritional intervention. In this study, we filled this gap by investigating the effect of nutrition-based prehabilitation on the postoperative outcomes of patients who underwent esophagectomy and gastrectomy.

Methods: Five electronic databases, namely, PubMed, the Web of Science, Embase, Cochrane Library, and CINAHL, were searched.

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Background: The metabolic-status-related mechanisms underlying the deterioration of the lung function in obese asthma have not been completely elucidated.

Objective: This study aimed to investigate the basal metabolic rate (BMR) in patients with obese asthma, its association with the lung function, and its mediating role in the impact of obesity on the lung function.

Methods: A 12-month prospective cohort study (n = 598) was conducted in a real-world setting, comparing clinical, body composition, BMR, and lung function data between patients with obese (n = 282) and non-obese (n = 316) asthma.

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Background: The liver-expressed antimicrobial peptide 2 (LEAP2) plays a pivotal role in the host's immune response against pathogenic microorganisms. Numerous such antimicrobial peptides have recently been shown to mitigate infection risk in fish, and studying those harboured by the economically important fish Acrossocheilus fasciatus is imperative for enhancing its immune responses against pathogenic microorganisms. In this study, we cloned and sequenced LEAP2 cDNA from A.

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After myocardial infarction (MI), sustained ischemic events induce pathological microenvironments characterized by ischemia-hypoxia, oxidative stress, inflammatory responses, matrix remodeling, and fibrous scarring. Conventional clinical therapies lack spatially targeted and temporally responsive modulation of the infarct microenvironment, leading to limited myocardial repair. Engineered hydrogels have a chemically programmed toolbox for minimally invasive localization of the pathological microenvironment and personalized responsive modulation over different pathological periods.

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Article Synopsis
  • - The study focuses on improving the classification of single-trial EEG signals, particularly the P300 component, which is vital for recognizing target images in rapid visual tasks, despite challenges like low signal quality and small sample sizes.
  • - Researchers developed a new convolutional neural network called PSAEEGNet that combines traditional convolutional layers with advanced features to better identify the P300 signals, thus enhancing the analysis of both time and space aspects of the data.
  • - Results showed PSAEEGNet significantly outperforms existing methods, achieving a high true positive rate and area under the ROC curve, indicating its strong potential to improve EEG-based target recognition systems.
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Manganese (Mn) is an essential trace element for maintaining bodily functions. Excessive exposure to Mn can pose serious health risks to humans and animals, particularly to the nervous system. While Mn has been implicated as a neurotoxin, the exact mechanism of its toxicity remains unclear.

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The cortically-coupled target recognition system based on rapid serial visual presentation (RSVP) has a wide range of applications in brain computer interface (BCI) fields such as medical and military. However, in the complex natural environment backgrounds, the identification of event-related potentials (ERP) of both small and similar objects that are quickly presented is a research challenge. Therefore, we designed corresponding experimental paradigms and proposed a multi-band task related components matching (MTRCM) method to improve the rapid cognitive decoding of both small and similar objects.

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Esophageal cancer (EC) is a common and serious form of cancer, and while DNA methyltransferase-1 (DNMT1) promotes DNA methylation and carcinogenesis, the role of F-box protein 32 (FBXO32) in EC and its regulation by DNMT1-mediated methylation is still unclear. FBXO32 expression was examined in EC cells with high DNMT1 expression using GSE163735 dataset. RT-qPCR assessed FBXO32 expression in normal and EC cells, and impact of higher FBXO32 expression on cell proliferation, migration, and invasion was evaluated, along with EMT-related proteins.

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