Author

Marek R. Kubicki

Brigham and Women's HospitalORCID 0000-0002-3989-8212Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Assay:imaging· 4 Research Focus:database / resource· 3 Approach:experimental assay· 3 Organism:human· 3 Approach:statistical model· 3 Research Focus:batch correction / integration· 2 Research Focus:benchmarking· 2 Assay:multiome· 2

Frequent Co-Authors

Yogesh Rathi AiD· 5 shared Edward H. YeterianiD· 4 shared Nikos MakrisiD· 4 shared R. Jarrett RushmoreiD· 3 shared Anthony C. JamesiD· 2 shared George PapadimitriouiD· 2 shared Lauren J. O’DonnelliD· 2 shared Suheyla Cetin KarayumakiD· 2 shared

Activity by Year

2018-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 28 mutual co-author links

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5 shared papersNeuroscience

Yogesh Rathi AORCID

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Author profile →

6 papers

Recent·Most cited

Neuroanatomy of substantia nigra and ventral tegmental area dopaminergic, and dorsal raphe serotonergic circuits in the human brain using T1-weighted and diffusion magnetic resonance imaging: A morphometric pilot study with estimate of reliability

Poliana Hartung Toppa, Jarrett Rushmore, Kayley Haggerty, George M. Papadimitriou, Darin Dean Dougherty, Marek R. Kubicki, José Luis González–Mora, Stefano Pallanti, Agustín Castañeyra-Perdomo, Edward H. Yeterian, Nikos Makris

The paper presents a morphometric analysis of dopaminergic and serotonergic circuits in the human brain using MRI data from the Human Connectome Project, identifying key structural connections and their reliability.

bioRxiv · Feb 13, 2026 · PreprintNeuroscience

Exploring the limits of ComBat method for multi-site diffusion MRI harmonization

Suheyla Cetin Karayumak, Katharina Stegmayer, Sebastian Walther, Philip R. Szeszko, T. J. Crow, Anthony C. James, Matcheri S. Keshavan, Marek R. Kubicki, Yogesh Rathi A

The paper evaluates the ComBat method for multi-site diffusion MRI harmonization, finding that it preserves biological variability in some sites but not others and is sensitive to preprocessing differences.

bioRxiv · Nov 20, 2020 · PreprintNeuroscience

MRI-based Parcellation and Morphometry of the Individual Rhesus Monkey Brain: a translational system referencing a standardized ontology

Jarrett Rushmore, Sylvain Bouix A, Marek R. Kubicki, Yogesh Rathi A, Douglas L. Rosene, Edward H. Yeterian, Nikos Makris

The paper introduces a novel parcellation system for the rhesus monkey brain based on a standardized ontology, aiming to facilitate comparative studies with the human brain.

Brain Imaging and Behavior · Sep 22, 2020Peer-reviewedNeuroscience

3D Exploration of the Brainstem in 50-micron Resolution MRI

Nikos Makris, R. Jarrett Rushmore, Peter Wilson-Braun, George Papadimitriou, I Ng, Yogesh Rathi A, F Zhang, Lauren J. O’Donnell, Marek R. Kubicki, Edward H. Yeterian, Jean‐Jacques Lemaire, Evan Calabrese, G. Allan Johnson, Ron Kikinis

This study creates a detailed 3D map of the human brainstem using high-resolution MRI and validates it against histological atlases.

bioRxiv · Sep 14, 2019 · PreprintNeuroscience

Individual variations of the human corticospinal tract and its hand-related motor fibers using diffusion MRI tractography

Kyriakos Dalamagkas, Magdalini Tsintou, Yogesh Rathi A, Lauren J. O’Donnell, Ofer Pasternak, Xue Gong, Anne Zhu, Peter Savadjiev, George Papadimitriou, Marek R. Kubicki, Edward H. Yeterian, Nikos Makris

This study uses diffusion MRI tractography to map individual variations of the human corticospinal tract and hand-related motor fibers, creating a database of their volume, length, and biophysical parameters.

Brain Imaging and Behavior · Jan 8, 2019Peer-reviewedNeuroscience

Retrospective harmonization of multi-site diffusion MRI data acquired with different acquisition parameters

Suheyla Cetin Karayumak, Sylvain Bouix A, Lipeng Ning, Anthony C. James, T. J. Crow, Martha Elizabeth Shenton, Marek R. Kubicki, Yogesh Rathi A

This paper presents a diffusion MRI harmonization method that removes scanner-specific effects across sites while preserving inter-subject variability, validated on two clinical cohorts.

NeuroImage · Sep 8, 2018Peer-reviewedNeuroscience