Xiaoxiang Zheng

ORCID: 0000-0001-7641-9789
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About
Contact & Profiles
Research Areas
  • EEG and Brain-Computer Interfaces
  • Neuroscience and Neural Engineering
  • Neural dynamics and brain function
  • Advanced Memory and Neural Computing
  • Autophagy in Disease and Therapy
  • Neuroscience and Neuropharmacology Research
  • Muscle activation and electromyography studies
  • Photoreceptor and optogenetics research
  • Blind Source Separation Techniques
  • Nitric Oxide and Endothelin Effects
  • Neural Networks and Applications
  • Heart Rate Variability and Autonomic Control
  • Gaze Tracking and Assistive Technology
  • Motor Control and Adaptation
  • Advanced Fluorescence Microscopy Techniques
  • Neurological Disease Mechanisms and Treatments
  • Memory and Neural Mechanisms
  • ECG Monitoring and Analysis
  • Neuroinflammation and Neurodegeneration Mechanisms
  • Human Pose and Action Recognition
  • Peroxisome Proliferator-Activated Receptors
  • Cell death mechanisms and regulation
  • Robot Manipulation and Learning
  • Cellular transport and secretion
  • Cardiac Ischemia and Reperfusion

University of Cambridge
2025

Fujian University of Traditional Chinese Medicine
2024

Beijing Fengtai Disease Prevention and Control Center
2024

Xiamen University
2017-2023

Zhejiang University
2012-2021

State Grid Corporation of China (China)
2021

Ministry of Education of the People's Republic of China
2008-2019

National University of Defense Technology
2019

Universität Hamburg
2018

University of Michigan
2012

Background Stroke rehabilitation with different exercise paradigms has been investigated, but which one is more effective in facilitating motor recovery and up-regulating brain neurotrophic factor (BDNF) after ischemia would be interesting to clinicians patients. Voluntary exercise, forced involuntary muscle movement caused by functional electrical stimulation (FES) have individually demonstrated as stroke intervention. The aim of this study was investigate the effects these three common...

10.1371/journal.pone.0016643 article EN cc-by PLoS ONE 2011-02-08

Abstract Spermidine, a natural polyamine presented widely in mammalian cells, has been implicated to extend the lifespan of several model organisms by inducing autophagy. However, effect spermidine against neuronal damage not yet fully determined. In this study, cell injury was induced treating PC12 cells and cortical neurons with 1 μ M staurosporine (STS). We found that STS-induced could be efficiently attenuated pretreatment mM spermidine. Spermidine inhibited caspase 3 activation STS....

10.1038/cddis.2017.161 article EN cc-by Cell Death and Disease 2017-04-06

Emerging lines of evidence show that the mechanisms neurite degeneration are convergent, with poor neuritic transport, mitochondrial dysfunction and an increase in intra-axonal calcium being principal convergence points. Nevertheless, details unclear. Here, we revealed induction autophagy degenerating neurites sympathetic neuron initiated by three different experimental paradigms. Autophagosomes were colocalized collapsed cytoskeletal proteins beadings during degeneration. Accumulation...

10.1111/j.1460-9568.2007.05914.x article EN European Journal of Neuroscience 2007-11-01

Unsupervised feature learning with deep networks has been widely studied in the recent years. Despite progress, most existing models would be fragile to non-Gaussian noises and outliers due criterion of mean square error (MSE). In this paper, we propose a robust stacked autoencoder (R-SAE) based on maximum correntropy (MCC) deal data containing outliers. By replacing MSE MCC, anti-noise ability is improved. The proposed method evaluated using MNIST benchmark dataset. Experimental results...

10.1109/icassp.2014.6854900 article EN 2014-05-01

Cadmium telluride quantum dots (CdTe QDs) have been proposed to induce oxidative stress, which plays a crucial role in CdTe QDs-mediated mitochondrial-dependent apoptosis human umbilical vein endothelial cells (HUVECs). However, the direct interactions of QDs with HUVECs and their potential impairment other organelles like endoplasmic reticulum (ER) are poorly understood. In this study, we reported that negatively charged (-21.63±0.91 mV), good dispersity fluorescence stability, were rapidly...

10.2147/ijn.s93591 article EN cc-by-nc International Journal of Nanomedicine 2016-02-01

Abstract Increased hemichannel opening induced by oxygen glucose deprivation (OGD) was reported in the hippocampal pyramidal neuron. It suggested that pannexin1 could mediate ionic flux dysregulation, anoxic depolarization, and energy‐depleting efflux of ATP for ischemic neurons. However, regulatory mechanisms have been poorly understood. Here we showed excessive generation nitric oxide (NO) during ischemia induce calcein leakage from neurons, which markedly reduced NO synthase inhibitor....

10.1002/jnr.21675 article EN Journal of Neuroscience Research 2008-04-01

Smooth muscle cells (SMC) make up most of the vascular system. In advanced atherosclerotic plaques, dying SMCs undergo a complex death mode. present study, we examined activation autophagy in overloaded with excess free cholesterol (FC) and investigated possible role which plays during FC-induced cell death. After incubation FC, robust expression autophagic vacuoles (AV) was detected using both fluorescence microscopy transmission electron (TEM). The results revealed that FC induced...

10.1194/jlr.m005702 article EN cc-by Journal of Lipid Research 2010-05-20

Objective. Many serious concerns exist in the long-term stability of brain–machine interfaces (BMIs) based on spike signals (single unit activity, SUA; multi MUA). Some studies showed local field potentials (LFPs) could offer a stable decoding performance. However, LFPs was examined only when high quality were recorded. Here we aim to examine over larger time scale from good poor or even no Approach. Neural collected motor cortex three monkeys via silicon arrays 230, 290 and 690 days...

10.1088/1741-2560/11/3/036009 article EN Journal of Neural Engineering 2014-05-08

It is a challenge to reduce the muscular discoordination in paretic upper limb after stroke traditional rehabilitation programs. In this study, neuromuscular electrical stimulation (NMES) and robot hybrid system was developed for multi-joint coordinated physical training. The could assist elbow, wrist fingers conduct arm reaching out, hand opening/grasping withdrawing by tracking an indicative moving cursor on screen of computer, with support from joint motors stimulations target muscles,...

10.1186/s12984-017-0245-y article EN cc-by Journal of NeuroEngineering and Rehabilitation 2017-04-26

Brain-computer interface (BCI) is a direct communication pathway between brain and external devices, BCI-based prosthetic devices are promising to provide new rehabilitation options for people with motor disabilities. Electrocorticography (ECoG) signals contain rich information correlated activities, have great potential in hand gesture decoding. However, most existing decoders use long time windows, thus ignore the temporal dynamics within period. In this study, we propose recurrent neural...

10.3389/fnins.2018.00555 article EN cc-by Frontiers in Neuroscience 2018-08-27

Brain-machine interfaces (BMIs) provide a promising information channel between the biological brain and external devices are applied in building brain-to-device control. Prior studies have explored feasibility of establishing brain-brain interface (BBI) across various brains via combination BMIs. However, using BBI to realize efficient multidegree control living creature, such as rat, complete navigation task complex environment has yet be shown. In this study, we developed from human rat...

10.1038/s41598-018-36885-0 article EN cc-by Scientific Reports 2019-02-04

ABSTRACT BACKGROUND Chronic musculoskeletal (MSK) pain can be characterized by its temporal variability and evolution, affecting both management treatment outcomes. While is traditionally studied over long timescales (e.g. days or weeks), few studies have explored short-term fluctuations minutes to seconds) their clinical relevance. This study investigated the of chronic across consecutive days, examining whether these are stable, exhibit consistent patterns, relate severity. We also...

10.1101/2025.01.12.25320413 preprint EN cc-by medRxiv (Cold Spring Harbor Laboratory) 2025-01-13

Previous work has shown that puerarin (Pur), extracted from the dried root of Pueraria lobata (Wild) Ohwi, increases cerebral blood flow in dogs and attenuates spinal cord injury resulting ischemia reperfusion rats rabbits. The present study further demonstrates neuroprotective effects Pur on ischemic mechanisms underlying protective effects. Male Sprague-Dawley were subjected to middle artery occlusion (MCAo) for 50 min followed by 24 h. (50, 100 mg/kg, i.p) was administered at onset MCAo....

10.1055/s-2005-871261 article EN Planta Medica 2005-07-01

Autophagy is a lysosomal degradative process essential for neuronal homeostasis, whereas autophagic failure has been linked to accumulating neurodegenerative disorders. However, the precise role of autophagy in axonal and dendritic degeneration Al

10.3233/jad-132270 article EN Journal of Alzheimer s Disease 2014-05-19

Reinforcement learning (RL)-based brain machine interfaces (BMIs) enable the user to learn from environment through interactions complete task without desired signals, which is promising for clinical applications. Previous studies exploited Q-learning techniques discriminate neural states into simple directional actions providing trial initial timing. However, movements in BMI applications can be quite complicated, and action timing explicitly shows intention when move. The rich...

10.1109/tnsre.2014.2341275 article EN IEEE Transactions on Neural Systems and Rehabilitation Engineering 2014-07-24

The combination of biological and artificial intelligence is a promising methodology to construct novel intelligent modality, proposed as cyborg intelligence. hierarchical conceptual framework based on the interaction comparable components cognitive units computing units. authors extend previous focus sensorimotor circuits explore representation integration sensation. They then present model for brain-computer design efficient machine-learning algorithms neural signal decoding. also propose...

10.1109/mis.2016.105 article EN IEEE Intelligent Systems 2016-11-01
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