Author

Maolin Qiu

Yale University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Neuroscience· 5

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 5 Assay:imaging· 4 Approach:statistical model· 4 Research Focus:differential expression· 2 Research Focus:cell-cell communication· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

Robert Todd ConstableiD· 3 shared Alexander J. SimoniD· 2 shared Anja SamardzijaiD· 2 shared Dustin ScheinostiD· 2 shared Fuyuze Tokoglu· 2 shared Gerard SanacoraiD· 2 shared Jagriti Arora· 2 shared Santino IannoneiD· 2 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

3 shared papersNeuroscience

Robert Todd ConstableORCID

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

Personalized disordered circuit modeling reveals diverse neurobiological routes to transdiagnostic symptoms

Alexander J. Simon, Santino Iannone, Anja Samardzija, Sarah A. Cutts, Flor Parra, Ashlea Segal, Sydney E. Smith, Kira Y. Tang, Fuyuze Tokoglu, Jagriti Arora, Maolin Qiu, Rachel Katz, Scott W. Woods, Vinod Srihari, Gerard Sanacora, , Robert Todd Constable

The paper develops a data-driven method to identify individualized disordered connectivity patterns from fMRI data, revealing diverse neurobiological mechanisms underlying transdiagnostic psychiatric symptoms.

bioRxiv · Aug 19, 2026 · PreprintNeuroscience

Transdiagnostic connectome-based predictive modeling reveals where circuits related to self-reported clinical symptoms impinge upon brain networks supporting cognition

Alexander J. Simon, Anja Samardzija, Santino Iannone, Flor Parra Rodriguez, Saloni Mehta, Fuyuze Tokoglu, Maolin Qiu, Jagriti Arora, Kira Y Tang, Anna Q Flanagan, Rachel R. Katz, Gerard Sanacora, Scott W. Woods, Vinod H. Srihari, Xilin Shen, , Robert Todd Constable

The paper uses connectome-based predictive modeling to show that circuits related to clinical symptoms and cognitive deficits are localized in specific brain networks.

bioRxiv · Oct 2, 2025 · PreprintNeuroscience

Ketamine Effects on Energy Metabolism, Functional Connectivity and Working Memory in Healthy Humans

Naomi R Driesen, Péter Hermán, Margaret A. Rowland, Garth J. Thompson, Maolin Qiu, George Shiyao He, Sarah Kathryn Fineberg, Daniel S. Barron, Lars E. Helgeson, Cheryl Lacadie, Robert M. Chow, Ralitza V. Gueorguieva, Teo-Carlo Straun, John Harrison Krystal, Fahmeed Hyder

This study examines how subanesthetic ketamine affects brain metabolism, functional connectivity, and working memory in healthy humans using multimodal fMRI.

bioRxiv · Feb 21, 2023 · PreprintNeuroscience

HALO: A software tool for real-time head alignment in the MR scanner

Zhiying Zhao, Gigi Galiana, Cristofer Zillo, Terry Camarro, Maolin Qiu, Xenophon Papademetris, Michelle Hampson

HALO is a software tool that provides real-time head alignment feedback to improve consistency across MRI sessions, reducing susceptibility noise in longitudinal studies.

Magnetic Resonance in Medicine · Nov 25, 2022Peer-reviewedNeuroscience

Functional connectivity predicts changes in attention over minutes, days, and months

Monica D. Rosenberg, Dustin Scheinost, Abigail S. Greene, Emily W. Avery, Young Hye Kwon, Emily S. Finn, Ramachandran Ramani, Maolin Qiu, Robert Todd Constable, Marvin M. Chun

This study shows that a validated functional connectivity model predicts attention changes across time and under different sedation states.

Proceedings of the National Academy of Sciences · Feb 4, 2020Peer-reviewedNeuroscience