Author

Martin Lindquist

Johns Hopkins 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

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Neuroscience· 3

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Assay:imaging· 2 Approach:Bayesian inference· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Abhirup DattaiD· 1 shared Alec Jamieson· 1 shared Alexander J. ShackmaniD· 1 shared Ben J. Harrison· 1 shared Benjamin BeckeriD· 1 shared Brian D KnutsoniD· 1 shared Carles Soriano‐MasiD· 1 shared Choong-Wan Woo· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperNeuroscience

Abhirup DattaORCID

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3 papers

Recent·Most cited

Linking Covariates to State Durations in Dynamic Brain Networks via Hidden Semi-Markov Models

Heather Shappell, Martin Lindquist

This paper introduces a covariate-dependent hidden semi-Markov model to analyze brain network state durations, finding that age and sex influence dwell times in specific brain states.

bioRxiv · Nov 9, 2026 · PreprintNeuroscience

Convergent and selective representations of pain, appetitive processes, aversive processes, and cognitive control in the insula

Mijin Kwon, Ke Bo, Rotem Botvinik‐Nezer, Philip A. Kragel, Lukas Van Oudenhove, Tor Dessart Wager, Yoni K. Ashar, Lauren Yvette Atlas, Lisa Feldman Barrett, Benjamin Becker, Luke Chang, Luana Colloca, Christopher G. Davey, Sigrid Elsenbruch, Miquel Angel Fullana, , Feng Zhou

The paper identifies convergent and selective functional zones in the insula using fMRI data, revealing a hierarchical convergence architecture across pain, appetitive, aversive, and cognitive control domains.

Nature Communications · Apr 14, 2026Peer-reviewedNeuroscience

Scalable and Adaptive Spatiotemporal Modeling for Task-Based fMRI Analysis

Jungin Choi, Abhirup Datta, Martin Lindquist

SPLASH improves task-based fMRI analysis by providing a spatially adaptive and scalable framework that enhances statistical inference and neuroscientific interpretability.

bioRxiv · Dec 9, 2025 · PreprintNeuroscience