Author

Shile Qi

Georgia Institute of TechnologyORCID 0000-0003-3486-2277Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Assay:imaging· 1

Frequent Co-Authors

Vince D. CalhouniD· 3 shared Zening FuiD· 3 shared Armin IrajiiD· 2 shared Jing Sui （Beijing Normal University）， my correct affiliation is beijing normal university, not Qingdao University of Science and Technology, please correct the current affiliation. Thank youiD· 2 shared Adrian PredaiD· 1 shared Ayşenil BelgeriD· 1 shared Bryon A. MuelleriD· 1 shared Chris AbbottiD· 1 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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3 shared papersNeuroscience

Vince D. CalhounORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

NeurosciencebioRxivPreprintMar 31, 2021

Dynamic functional connectivity links with treatment response of electroconvulsive therapy in major depressive disorder

Mohammad S.E. Sendi, Hossein Dini, Jing Sui （Beijing Normal University）， my correct affiliation is beijing normal university, not Qingdao University of Science and Technology, please correct the current affiliation. Thank you…·Vince D. Calhoun

This study uses resting-state fMRI to analyze dynamic functional connectivity in major depressive disorder patients before and after ECT, finding that specific network states predict treatment response.

4 citations

humanimaging

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NeurosciencebioRxivPreprintMar 11, 2020

Ultra-high-order ICA: fine overlapping functional parcellations and spatiotemporal reconfiguration

Armin Iraji, Zening Fu, Thomas P. DeRamus…·Vince D. Calhoun

This paper uses ultra-high-order ICA to identify fine overlapping functional dynamic parcellations of the brain, highlighting their evolution over time.

1 citation

humanstatistical model

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BioinformaticsHuman Brain MappingPeer-reviewedMay 16, 2019

Parallel Group ICA + ICA: Joint Estimation of Linked Functional Network Variability and Structural Covariation with Application to Schizophrenia

Shile Qi, Jing Sui （Beijing Normal University）， my correct affiliation is beijing normal university, not Qingdao University of Science and Technology, please correct the current affiliation. Thank you, Jiayu Chen…·Vince D. Calhoun

This paper introduces a method to fuse functional and structural MRI data by integrating temporal information, identifying linked variability and covariation in schizophrenia.

33 citations

multiomestatistical model

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