What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Artificial intelligence
- Internal medicine
Mingxiong Huang focuses on Magnetoencephalography, Neuroscience, Electroencephalography, Artificial intelligence and Pattern recognition.
His work deals with themes such as Schizophrenia, Superior temporal gyrus, Gating, Algorithm and Traumatic brain injury, which intersect with Magnetoencephalography.
Mingxiong Huang has included themes like Fractional anisotropy and Diffusion MRI in his Neuroscience study.
His Electroencephalography research incorporates themes from Acoustics, Human skull, Skull and Imaging phantom.
His work on Robustness, Probabilistic logic and Statistical classification is typically connected to Inverse problem as part of general Artificial intelligence study, connecting several disciplines of science.
His Pattern recognition study combines topics from a wide range of disciplines, such as Artificial neural network, Covariance matrix and Central nervous system.
His most cited work include:
- A sensor-weighted overlapping-sphere head model and exhaustive head model comparison for MEG. (405 citations)
- A Study of Dipole Localization Accuracy for MEG and EEG using a Human Skull Phantom (301 citations)
- Integrated imaging approach with MEG and DTI to detect mild traumatic brain injury in military and civilian patients. (177 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Magnetoencephalography, Neuroscience, Traumatic brain injury, Audiology and Electroencephalography.
He interconnects Superior temporal gyrus, Cognition, Resting state fMRI, Artificial intelligence and Pattern recognition in the investigation of issues within Magnetoencephalography.
His Pattern recognition research incorporates elements of Speech recognition, Signal and Robustness.
His biological study spans a wide range of topics, including Neuroimaging, Physical medicine and rehabilitation and Neuropsychology.
Mingxiong Huang combines subjects such as Working memory and Posterior parietal cortex with his study of Audiology.
His work carried out in the field of Electroencephalography brings together such families of science as Imaging phantom, Human skull, Communication and Auditory cortex.
He most often published in these fields:
- Magnetoencephalography (83.33%)
- Neuroscience (67.26%)
- Traumatic brain injury (22.62%)
What were the highlights of his more recent work (between 2018-2021)?
- Magnetoencephalography (83.33%)
- Traumatic brain injury (22.62%)
- Cognition (14.29%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Magnetoencephalography, Traumatic brain injury, Cognition, Audiology and Neuroscience.
The concepts of his Magnetoencephalography study are interwoven with issues in Superior temporal gyrus, Peripheral, Source imaging, Surgical resection and Natural language.
His Source imaging research is multidisciplinary, incorporating elements of Physical medicine and rehabilitation, Artificial intelligence and Pattern recognition.
His Traumatic brain injury study combines topics in areas such as Posttraumatic stress, Resting state fMRI, Mr imaging and Cohort.
In general Cognition, his work in Endophenotype and Left superior frontal gyrus is often linked to Group differences and Heritability linking many areas of study.
His Audiology study also includes fields such as
- Orbitofrontal cortex, n-back, Dorsolateral prefrontal cortex, Anterior cingulate cortex and Neurocognitive most often made with reference to Ventromedial prefrontal cortex,
- Working memory that intertwine with fields like Precuneus, Functional connectivity, Distraction and Encoding.
Between 2018 and 2021, his most popular works were:
- Spinal cord stimulation in chronic pain: evidence and theory for mechanisms of action (30 citations)
- Noninvasive vagus nerve stimulation alters neural response and physiological autonomic tone to noxious thermal challenge. (13 citations)
- Noninvasive vagus nerve stimulation alters neural response and physiological autonomic tone to noxious thermal challenge. (13 citations)
In his most recent research, the most cited papers focused on:
- Neuroscience
- Artificial intelligence
- Internal medicine
Mingxiong Huang mainly investigates Magnetoencephalography, Ventromedial prefrontal cortex, Audiology, Neuroscience and Natural language.
His Magnetoencephalography research is multidisciplinary, incorporating perspectives in Cognition and Traumatic brain injury.
His Ventromedial prefrontal cortex research is multidisciplinary, relying on both Working memory, n-back, Dorsolateral prefrontal cortex, Anterior cingulate cortex and Verbal fluency test.
Mingxiong Huang has researched Audiology in several fields, including Neuroimaging, Neurocognitive, Resting state fMRI and Orbitofrontal cortex.
His Insular cortex, Somatosensory system, Thalamus, Dorsal motor nucleus and Vagus nerve study are his primary interests in Neuroscience.
His work in Natural language addresses subjects such as Human brain, which are connected to disciplines such as Superior temporal gyrus.
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