Author

Xiaoxiao Sun

Columbia UniversityORCID 0000-0002-0823-8713Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Assay:electronic health records· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Paul SajdaiD· 2 shared Aidan Blankenship· 1 shared Arunesh MittaliD· 1 shared Golbarg T. SaberiD· 1 shared James R. Mclntosh· 1 shared Jayce DooseiD· 1 shared John William PaisleyiD· 1 shared Josef FalleriD· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersBioinformatics

Paul SajdaORCID

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2 papers

Recent·Most cited

Uncovering Invariant Representations in Functional Neuroimaging with Deep Metric Learning

Arunesh Mittal, Xiaoxiao Sun, John William Paisley, Paul Sajda

This paper introduces a metric learning framework for fMRI data to extract low-dimensional latent structures that reduce intra-group variability and maximize inter-group variability, achieving better performance than PCA on benchmark datasets.

bioRxiv · Sep 17, 2023 · PreprintBioinformatics

Functional and effective connectivity between dorsolateral prefrontal and subgenual anterior cingulate cortex depends on the timing of transcranial magnetic stimulation relative to the phase of prefrontal alpha EEG

Spiro P. Pantazatos, James R. Mclntosh, Golbarg T. Saber, Xiaoxiao Sun, Jayce Doose, Josef Faller, Yida Lin, Joshua Teves, Aidan Blankenship, Sarah M. Huffman, Robin I. Goldman, Mark S. George, Paul Sajda, Truman R. Brown

The paper investigates how the timing of TMS relative to prefrontal alpha EEG phase affects functional and effective connectivity between DLPFC and ACC in healthy volunteers and MDD patients.

bioRxiv · Feb 14, 2022 · PreprintNeuroscience