Author

Anto I. Bagic

University of PittsburghORCID 0000-0002-6284-8336Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:electronic health records· 4 Organism:human· 4 Approach:statistical model· 3 Research Focus:cell type annotation· 2 Approach:experimental assay· 2 Research Focus:spatial domain detection· 2 Research Focus:benchmarking· 1 Research Focus:cell-cell communication· 1

Frequent Co-Authors

Bin HeiD· 2 shared Robert Mark RichardsoniD· 2 shared Andrea PejiniD· 1 shared Antal BerényiiD· 1 shared Arish AlrejaiD· 1 shared Avniel Singh GhumaniD· 1 shared Bálint HorvathiD· 1 shared Brian Edward RussiD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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2 shared papersNeuroscience

Bin HeORCID

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Author profile →

4 papers

Recent·Most cited

From Scalp to Source: Precise Phase Retrieval of Intracerebral Epileptic Sources Based on Surface EEG

Kristóf Furuglyás, Marton Huszar-Kis, Bálint Horvath, Andrea Pejin, Nóra Forgó, István Langó, Shobhit Singla, Márton Görög, Péter Vass, Zoltán Chadaide, Tamás Laszlovszky, Orrin Devinsky, Anto I. Bagic, Zoltán Somogyvári, Antal Berényi

This paper validates the Gabor-Nelson method for reconstructing deep-brain oscillatory phase from scalp EEG without anatomical imaging, achieving comparable accuracy to MRI-informed methods.

bioRxiv · Aug 20, 2026 · PreprintNeuroscience

Spontaneous HFO Sequences Reveal Propagation Pathways for Precise Delineation of Epileptogenic Networks

Zhengxiang Cai, Xiyuan Jiang, Anto I. Bagic, Gregory A. Worrell, Robert Mark Richardson, Bin He

The paper introduces an HFO-sequencing approach to analyze spontaneous HFOs in epilepsy patients, revealing propagation pathways and improving localization of epileptic tissue.

bioRxiv · May 2, 2024 · PreprintNeuroscience

Disentanglement of Resting State Brain Networks for Localizing Epileptogenic Zone in Focal Epilepsy

Shuai Ye, Anto I. Bagic, Bin He

This paper proposes a framework to disentangle brain networks from resting state EEG/MEG recordings to localize epileptogenic zones in focal epilepsy, showing reasonable localization in 6/10 patients.

Brain Topography · Dec 19, 2023Peer-reviewedNeuroscience

A New Paradigm for Investigating Real-World Social Behavior and its Neural Underpinnings

Arish Alreja, Michael Ward, Qianli Ma, Brian Edward Russ, Stephan Bickel, Nelleke Corine van Wouwe, Jorge Alvaro Gonzalez-Martinez, Joseph Samir Neimat, Taylor J. Abel, Anto I. Bagic, Lisa S. Parker, Robert Mark Richardson, Charles E. Schroeder, Louis‐Philippe Morency, Avniel Singh Ghuman

The paper describes an immersive paradigm for studying natural social behavior and its neural correlates in epilepsy patients using synchronized behavioral and neurophysiological data.

Behavior Research Methods · Jul 25, 2022Peer-reviewedNeuroscience