His scientific interests lie mostly in Neuroscience, Brain mapping, Functional magnetic resonance imaging, Neuroimaging and Cortex. He combines topics linked to Magnetic resonance imaging with his work on Neuroscience. His studies in Brain mapping integrate themes in fields like Lateralization of brain function, Cognition and Human brain.
His Functional magnetic resonance imaging research incorporates themes from Personality and Artificial intelligence. His studies deal with areas such as Cerebral cortex and Sensory system as well as Cortex. In his research on the topic of Connectome, Neurophysiology is strongly related with Visual cortex.
His main research concerns Neuroscience, Artificial intelligence, Functional connectivity, Human brain and Functional magnetic resonance imaging. His work on Magnetic resonance imaging expands to the thematically related Neuroscience. His study in Artificial intelligence is interdisciplinary in nature, drawing from both Electroencephalography, Machine learning, Computer vision and Pattern recognition.
His Pattern recognition research is multidisciplinary, incorporating elements of Embedding and Connectome. His Functional connectivity research incorporates elements of Cerebellum, Functional brain and Auditory cortex. Hesheng Liu has researched Brain mapping in several fields, including Functional imaging, Neuroimaging, Cortex and Magnetoencephalography.
His primary areas of investigation include Neuroscience, Functional connectivity, Cognition, Human brain and Functional magnetic resonance imaging. The various areas that Hesheng Liu examines in his Neuroscience study include Schizophrenia and Magnetic resonance imaging. His Functional connectivity study combines topics in areas such as Biomarker, Functional brain and Auditory cortex.
Many of his research projects under Cognition are closely connected to Personalized medicine with Personalized medicine, tying the diverse disciplines of science together. His Human brain study integrates concerns from other disciplines, such as Temporoparietal junction, Diffusion MRI, Diffusion Tractography and Brain tissue. His Functional magnetic resonance imaging research also works with subjects such as
His primary areas of study are Neuroscience, Functional magnetic resonance imaging, Functional connectivity, Magnetic resonance imaging and Resting state fMRI. Much of his study explores Neuroscience relationship to Biomarker. His biological study deals with issues like Neuroimaging, which deal with fields such as Functional image, Brain mapping and Brain morphometry.
Hesheng Liu interconnects Brain atlas, Functional brain, Neuroimaging biomarkers, Obsessive compulsive and Treatment response in the investigation of issues within Functional connectivity. The concepts of his Magnetic resonance imaging study are interwoven with issues in Prefrontal cortex, Task-positive network, Human brain and Human Connectome Project. His Resting state fMRI study combines topics from a wide range of disciplines, such as Abnormality, Neuropsychology and Pathogenesis, Pathology.
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The organization of the human cerebral cortex estimated by intrinsic functional connectivity
B. T. Thomas Yeo;Fenna M. Krienen;Jorge Sepulcre;Jorge Sepulcre;Mert R. Sabuncu;Mert R. Sabuncu.
Journal of Neurophysiology (2011)
Cortical Hubs Revealed by Intrinsic Functional Connectivity: Mapping, Assessment of Stability, and Relation to Alzheimer's Disease
Randy L. Buckner;Jorge Sepulcre;Tanveer Talukdar;Fenna M. Krienen.
The Journal of Neuroscience (2009)
Individual Variability in Functional Connectivity Architecture of the Human Brain
Sophia Mueller;Sophia Mueller;Danhong Wang;Michael D. Fox;B.T. Thomas Yeo;B.T. Thomas Yeo.
Resting-state networks link invasive and noninvasive brain stimulation across diverse psychiatric and neurological diseases.
Michael D. Fox;Randy L. Buckner;Hesheng Liu;M. Mallar Chakravarty;M. Mallar Chakravarty.
Proceedings of the National Academy of Sciences of the United States of America (2014)
Timing, Timing, Timing: Fast Decoding of Object Information from Intracranial Field Potentials in Human Visual Cortex
Hesheng Liu;Hesheng Liu;Yigal Agam;Joseph Russell Madsen;Gabriel Kreiman;Gabriel Kreiman.
The Organization of Local and Distant Functional Connectivity in the Human Brain
Jorge Sepulcre;Jorge Sepulcre;Hesheng Liu;Tanveer Talukdar;Iñigo Martincorena.
PLOS Computational Biology (2010)
Parcellating cortical functional networks in individuals
Danhong Wang;Randy L Buckner;Michael D Fox;Michael D Fox;Daphne J Holt.
Nature Neuroscience (2015)
Evidence from intrinsic activity that asymmetry of the human brain is controlled by multiple factors.
Hesheng Liu;Steven M. Stufflebeam;Jorge Sepulcre;Trey Hedden.
Proceedings of the National Academy of Sciences of the United States of America (2009)
Spatial Topography of Individual-Specific Cortical Networks Predicts Human Cognition, Personality, and Emotion.
Ru Kong;Jingwei Li;Csaba Orban;Mert R Sabuncu.
Cerebral Cortex (2019)
The Dynamics of Cortical and Hippocampal Atrophy in Alzheimer Disease
Mert R. Sabuncu;Rahul S. Desikan;Jorge Sepulcre;Boon Thye T. Yeo.
JAMA Neurology (2011)
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