Author

James J. Pekar

Kennedy Krieger InstituteORCID 0000-0002-9830-0655Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 5

Signature Assays, Organisms & Methods

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Organism:human· 5 Approach:statistical model· 5 Assay:imaging· 4 Research Focus:benchmarking· 2 Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Research Focus:cell type annotation· 1

Frequent Co-Authors

Martin A. LindquistiD· 5 shared Brian S. CaffoiD· 4 shared Ann S. ChoeiD· 3 shared Bohao TangiD· 3 shared Hamed HonariiD· 2 shared Kimberly SmithiD· 2 shared Adrian M. SvingosiD· 1 shared Agostina Casamento‐MoraniD· 1 shared

Activity by Year

2019-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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5 shared papersNeuroscience

Martin A. LindquistORCID

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5 papers

Recent·Most cited

The State of Motion: Demographic and representational consequences of motion-based exclusion in fMRI

Patrick S. Sadil, Briha Ansari, Agostina Casamento‐Moran, Ann S. Choe, Jungin Choi, Farzad V. Farahani, Lukman Ismaila, Micah Alan Johnson, Arunkumar Kannan, Mary Beth Nebel, James J. Pekar, Haris Iqbal Sair, Joshua J. Stim, Adrian M. Svingos, Tor Dessart Wager, Martin A. Lindquist

The paper examines how motion-based exclusion in fMRI disproportionately affects certain demographic groups and alters study outcomes.

bioRxiv · Jul 27, 2026 · PreprintNeuroscience

Differences in functional connectivity distribution after transcranial direct-current stimulation: a connectivity density point of view

Bohao Tang, Yi Zhao, Archana Venkataraman, Kyrana Tsapkini, Martin A. Lindquist, James J. Pekar, Brian S. Caffo

The paper analyzes the effect of transcranial direct-current stimulation on functional connectivity using distributional analysis of correlation densities in PPA patients.

Human Brain Mapping · Nov 13, 2022Peer-reviewedNeuroscience

Methodological considerations in analyzing synchronization of resting-state brain networks with the intrinsic electrical rhythm of the stomach: Advantages of weighted phase-locking

Ann S. Choe, Bohao Tang, Kimberly Smith, Hamed Honari, Martin A. Lindquist, Brian S. Caffo, James J. Pekar

The paper reanalyzes brain network synchronization with gastric rhythms using amplitude-weighted phase-locking value (awPLV), finding more synchronized networks than previously identified with PLV.

bioRxiv · Sep 20, 2021 · PreprintNeuroscience

Phase-locking of resting-state brain networks with the gastric basal electrical rhythm

Ann S. Choe, Bohao Tang, Kimberly Smith, Hamed Honari, Martin A. Lindquist, Brian S. Caffo, James J. Pekar

The paper investigates phase-locking between resting-state brain networks and the gastric basal electrical rhythm using rsfMRI and EGG data.

PLoS ONE · Jan 5, 2021Peer-reviewedNeuroscience

Improved state change estimation in dynamic functionalconnectivity using hidden semi-Markov models

Heather M. Shappell, Brian S. Caffo, James J. Pekar, Martin A. Lindquist

This paper improves state change estimation in dynamic functional connectivity using hidden semi-Markov models, showing better sojourn time estimation compared to hidden Markov models.

NeuroImage · Feb 10, 2019Peer-reviewedNeuroscience