What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Statistics
- Central nervous system
Xuguang Liu spends much of his time researching Deep brain stimulation, Electromyography, Neuroscience, Local field potential and Resting tremor.
His Deep brain stimulation research includes elements of Dystonia, Anesthesia, Stimulation and Neurological disorder.
His research in Dystonia intersects with topics in Basal ganglia, Somatosensory system and Electroencephalography.
His biological study spans a wide range of topics, including Central nervous system disease and Sympathetic nervous system.
His Neurological disorder research integrates issues from Pathophysiology and Anatomy.
His Resting tremor study frequently draws parallels with other fields, such as Subthalamic nucleus.
His most cited work include:
- Deep brain stimulation for generalised dystonia and spasmodic torticollis. (119 citations)
- Deep brain stimulation of the pedunculopontine region in the normal non-human primate. (109 citations)
- Involvement of the medial pallidum in focal myoclonic dystonia: A clinical and neurophysiological case study (102 citations)
What are the main themes of his work throughout his whole career to date?
Xuguang Liu focuses on Neuroscience, Deep brain stimulation, Local field potential, Physical medicine and rehabilitation and Subthalamic nucleus.
His studies in Neuroscience integrate themes in fields like Biomedical engineering and Computational model.
His Deep brain stimulation research is multidisciplinary, incorporating elements of Dystonia, Anesthesia, Stimulation and Neurological disorder.
The concepts of his Local field potential study are interwoven with issues in Neurophysiology, Brain–computer interface, Electroencephalography, Speech recognition and Electromyography.
His work carried out in the field of Subthalamic nucleus brings together such families of science as Pattern recognition, Artificial intelligence and Resting tremor.
Xuguang Liu has included themes like Continuous wavelet transform and Short-time Fourier transform in his Resting tremor study.
He most often published in these fields:
- Neuroscience (73.40%)
- Deep brain stimulation (68.09%)
- Local field potential (30.85%)
What were the highlights of his more recent work (between 2008-2015)?
- Deep brain stimulation (68.09%)
- Neuroscience (73.40%)
- Stimulation (23.40%)
In recent papers he was focusing on the following fields of study:
Deep brain stimulation, Neuroscience, Stimulation, Movement disorders and Subthalamic nucleus are his primary areas of study.
His Deep brain stimulation research incorporates elements of Basal ganglia and Local field potential.
In his study, which falls under the umbrella issue of Local field potential, Motor control, Feature selection, Wavelet packet decomposition and Wavelet transform is strongly linked to Speech recognition.
His specific area of interest is Neuroscience, where Xuguang Liu studies Human brain.
His Stimulation study combines topics in areas such as Stimulus, Axon and Computational model.
His work investigates the relationship between Subthalamic nucleus and topics such as Brain–computer interface that intersect with problems in Feature, Artificial intelligence, Pattern recognition, Movement and Laterality.
Between 2008 and 2015, his most popular works were:
- NEURAL SIGNATURES IN PATIENTS WITH NEUROPATHIC PAIN (39 citations)
- Investigating the depth electrode-brain interface in deep brain stimulation using finite element models with graded complexity in structure and solution. (39 citations)
- Investigating the depth electrode-brain interface in deep brain stimulation using finite element models with graded complexity in structure and solution. (39 citations)
In his most recent research, the most cited papers focused on:
- Neuroscience
- Statistics
- Neuron
His main research concerns Deep brain stimulation, Neuroscience, Stimulation, Human brain and Depth electrode.
His work on Neurological disorder as part of general Neuroscience study is frequently linked to Movement disorders, bridging the gap between disciplines.
His Neurological disorder research includes themes of Neuropathic pain, Sensory system and Thalamus.
Xuguang Liu incorporates a variety of subjects into his writings, including Movement disorders, Axon, Neuron, Stimulus and Subthalamic nucleus.
Among his Depth electrode studies, you can observe a synthesis of other disciplines of science such as Finite element method, Waveform shaping and Computational model.
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