H
Hesheng Liu
Researcher at Harvard University
Publications - 146
Citations - 17183
Hesheng Liu is an academic researcher from Harvard University. The author has contributed to research in topics: Resting state fMRI & Default mode network. The author has an hindex of 36, co-authored 130 publications receiving 13869 citations. Previous affiliations of Hesheng Liu include Capital Medical University & Tsinghua University.
Papers
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Journal ArticleDOI
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,Danial Lashkari,Marisa O. Hollinshead,Marisa O. Hollinshead,Joshua L. Roffman,Jordan W. Smoller,Lilla Zöllei,Jonathan R. Polimeni,Bruce Fischl,Bruce Fischl,Hesheng Liu,Randy L. Buckner +16 more
TL;DR: In this paper, the organization of networks in the human cerebrum was explored using resting-state functional connectivity MRI data from 1,000 subjects and a clustering approach was employed to identify and replicate networks of functionally coupled regions across the cerebral cortex.
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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,Hesheng Liu,Trey Hedden,Jessica R. Andrews-Hanna,Reisa A. Sperling,Keith A. Johnson +8 more
TL;DR: To identify regions of high connectivity in the human cerebral cortex, a computationally efficient approach was applied to map the degree of intrinsic functional connectivity across the brain and explored whether the topography of hubs could explain the pattern of vulnerability in Alzheimer's disease (AD).
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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,Jorge Sepulcre,Mert R. Sabuncu,Rebecca Shafee,Jie Lu,Hesheng Liu +10 more
TL;DR: Using repeated-measurement resting-state functional MRI to explore intersubject variability in connectivity revealed that regions predicting individual differences in cognitive domains are predominantly located in regions of high connectivity variability.
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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,Andres M. Lozano,Andres M. Lozano,Alvaro Pascual-Leone +7 more
TL;DR: It is found that although different types of brain stimulation are applied in different locations, targets used to treat the same disease most often are nodes within the same brain network as defined by resting-state functional-connectivity MRI.
Journal ArticleDOI
Spatial Topography of Individual-Specific Cortical Networks Predicts Human Cognition, Personality, and Emotion.
Ru Kong,Jingwei Li,Csaba Orban,Mert R. Sabuncu,Hesheng Liu,Alexander Schaefer,Nanbo Sun,Xi-Nian Zuo,Avram J. Holmes,Simon B. Eickhoff,B.T. Thomas Yeo +10 more
TL;DR: Network topography estimated by MS-HBM was more effective for behavioral prediction than network size, as well as network topography Estimated by other parcellation approaches, similar to connectivity strength, which might also serve as a fingerprint of human behavior.