Author

Qinghao Liang

Yale UniversityORCID 0000-0002-6033-0824Unclaimed 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:benchmarking· 5 Approach:statistical model· 4 Organism:human· 3 Assay:imaging· 3 Research Focus:cell-cell communication· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1

Frequent Co-Authors

Dustin ScheinostiD· 5 shared Brendan D. AdkinsoniD· 4 shared Matthew RosenblattiD· 4 shared Maya L. FosteriD· 4 shared Rongtao JiangiD· 4 shared Javid DadashkarimiiD· 3 shared Jean YeiD· 3 shared Raimundo X. RodrigueziD· 3 shared

Activity by Year

2022-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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5 shared papersNeuroscience

Dustin ScheinostORCID

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

Multimodal Connectome Markers of Disruptive Behavior Problems in Youth: Distinct Patterns of Concurrent Severity and Prospective Symptom Change

Eleni Christofilea, Kaiting Mai, Qinghao Liang, Raimundo X. Rodriguez, Caroline Lloyd, Yize Zhao, Dustin Scheinost, Denis G. Sukhodolsky, Karim Ibrahim

The paper uses multimodal connectome data to identify patterns of functional and structural connectivity associated with disruptive behavior severity and change in youth.

bioRxiv · Oct 30, 2026 · PreprintNeuroscience

The Hidden Landscape of Missed Effects in Human Functional Neuroimaging

Stephanie Noble, Hallee Shearer, Matthew Rosenblatt, Jean Ye, Rongtao Jiang, Link Tejavibulya, Maya L. Foster, Qinghao Liang, Javid Dadashkarimi, Margaret L. Westwater, Iris Q. Cheng, Max J. Rolison, Hannah Peterson, Brendan D. Adkinson, Saloni Mehta, , Dustin Scheinost

The paper identifies inflated effect sizes in functional neuroimaging studies and proposes a correction method to improve study planning and detection of brain effects.

bioRxiv · May 24, 2026 · PreprintNeuroscience

Trends in Self-citation Rates in High-impact Neurology, Neuroscience, and Psychiatry Journals

Matthew Rosenblatt, Saloni Mehta, Hannah Peterson, Javid Dadashkarimi, Raimundo X. Rodriguez, Maya L. Foster, Brendan D. Adkinson, Qinghao Liang, Violet M Kimble, Jean Ye, Marie C McCusker, Michael C. Farruggia, Max J. Rolison, Margaret L. Westwater, Rongtao Jiang, , Dustin Scheinost

This study analyzes self-citation rates across 100,347 articles from 63 neuroscience journals between 2000-2020, revealing trends in self-citation by author position, country, gender, and field.

eLife · May 14, 2025Peer-reviewedNeuroscience

Rescuing missing data in connectome-based predictive modeling

Qinghao Liang, Rongtao Jiang, Brendan D. Adkinson, Matthew Rosenblatt, Saloni Mehta, Maya L. Foster, Siyuan Dong, Chenyu You, Sahand N. Negahban, Harrison H. Zhou, Joseph Tung‐Chieh Chang, Dustin Scheinost

This paper improves brain-behavior prediction by imputing missing data in connectome-based models, increasing sample size and explained variance.

Imaging Neuroscience · Jan 4, 2024Peer-reviewedNeuroscience

Cross Atlas Remapping via Optimal Transport (CAROT): Creating connectomes for any atlas when raw data is not available

Javid Dadashkarimi, Amin Karbasi, Qinghao Liang, Matthew Rosenblatt, Stephanie Noble, Maya L. Foster, Raimundo X. Rodriguez, Brendan D. Adkinson, Jean Ye, Huili Sun, Chris Camp, Michael Farruggia, Link Tejavibulya, Wei Dai, Rongtao Jiang, , Dustin Scheinost

CAROT remaps connectomes between atlases without raw data, enabling reuse of processed data across different atlases.

bioRxiv · Jul 19, 2022 · PreprintNeuroscience