What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Magnetic resonance imaging
- Internal medicine
His main research concerns Neuroscience, Brain mapping, Resting state fMRI, Functional magnetic resonance imaging and Cognition.
His studies in Default mode network, Posterior cingulate, Basal ganglia, Addiction and Anterior cingulate cortex are all subfields of Neuroscience research.
His research in Brain mapping intersects with topics in Insula, Nerve net, Prefrontal cortex and Cerebral blood flow.
His Resting state fMRI research is multidisciplinary, incorporating elements of Somatosensory system, Superior temporal gyrus, Human brain, Precuneus and Visual cortex.
His Functional magnetic resonance imaging research integrates issues from Psychiatry, Nicotine and Magnetic resonance imaging.
His Cognition research incorporates themes from Nicotine withdrawal and Sensory system.
His most cited work include:
- An improved approach to detection of amplitude of low-frequency fluctuation (ALFF) for resting-state fMRI: fractional ALFF. (927 citations)
- Differential patterns of striatal activation in young children with and without ADHD. (546 citations)
- A neural basis for the development of inhibitory control (500 citations)
What are the main themes of his work throughout his whole career to date?
Yihong Yang focuses on Neuroscience, Resting state fMRI, Nuclear magnetic resonance, Functional magnetic resonance imaging and Magnetic resonance imaging.
Brain mapping, Default mode network, Prefrontal cortex, Posterior cingulate and Addiction are the primary areas of interest in his Neuroscience study.
His Resting state fMRI research includes themes of Functional connectivity, Premovement neuronal activity, Human brain, Artificial intelligence and Pattern recognition.
The various areas that he examines in his Nuclear magnetic resonance study include Contrast, Cerebral blood flow and Spiral.
His Functional magnetic resonance imaging research is multidisciplinary, incorporating perspectives in Anterior cingulate cortex, Abstinence, Brain activity and meditation, Craving and Nicotine.
His study looks at the intersection of Magnetic resonance imaging and topics like Computer vision with Fractional anisotropy and Diffusion MRI.
He most often published in these fields:
- Neuroscience (43.83%)
- Resting state fMRI (23.40%)
- Nuclear magnetic resonance (20.00%)
What were the highlights of his more recent work (between 2018-2021)?
- Neuroscience (43.83%)
- Resting state fMRI (23.40%)
- Functional magnetic resonance imaging (18.30%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Neuroscience, Resting state fMRI, Functional magnetic resonance imaging, Functional connectivity and Insula.
Neuroscience is represented through his Working memory, Stimulation, Prefrontal cortex, Default mode network and Addiction research.
His biological study spans a wide range of topics, including Consciousness, Level of consciousness, Supplementary motor area, Anterior cingulate cortex and Signal.
His studies in Functional magnetic resonance imaging integrate themes in fields like Brain atlas, Neurophysiology, Transcranial magnetic stimulation, Brain activity and meditation and Craving.
His Brain atlas study integrates concerns from other disciplines, such as Motor stimulation and Brain mapping.
His research on Insula also deals with topics like
- Orbitofrontal cortex which is related to area like Abstinence, Diffusion MRI, Lateralization of brain function, Fractional anisotropy and White matter,
- Smoking cessation that intertwine with fields like Cardiology, Oncology, Insular cortex, Precuneus and Magnetic resonance imaging,
- Striatum which is related to area like Putamen.
Between 2018 and 2021, his most popular works were:
- Anterior insular cortex plays a critical role in interoceptive attention. (25 citations)
- Compulsive drug use is associated with imbalance of orbitofrontal- and prelimbic-striatal circuits in punishment-resistant individuals. (22 citations)
- Regional excitation-inhibition balance predicts default-mode network deactivation via functional connectivity (15 citations)
In his most recent research, the most cited papers focused on:
- Neuroscience
- Internal medicine
- Magnetic resonance imaging
His primary scientific interests are in Neuroscience, Functional connectivity, Working memory, Functional magnetic resonance imaging and Resting state fMRI.
His study in Cohort extends to Neuroscience with its themes.
His Functional connectivity research incorporates elements of Independent component analysis, Correlation, Vascular function and Cerebrovascular reactivity.
In his work, Elementary cognitive task, Precuneus, Posterior cingulate and Neurochemical is strongly intertwined with Default mode network, which is a subfield of Working memory.
Yihong Yang interconnects Somatosensory system, Nicotine Addiction, Visual sensory and Craving in the investigation of issues within Functional magnetic resonance imaging.
His studies deal with areas such as Brain activity and meditation and Local field potential as well as Resting state fMRI.
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