Author
The University of Texas Health Science Center at HoustonORCID 0000-0002-3221-229XUnclaimed ORCID profile · follow to get notified of new preprints
9 papers
Recent·Most cited
Alan A. Díaz-Montiel, Jace A. Willis, G. Unal, Amada M. Abrego, Yoshinao Kajikawa, John C. Mosher, Charles E. Schroeder, Salvador Durá-Bernal, John P. Seymour, Samuel A. Neymotin
The paper shows how recording geometry affects the representation of cortical activity through biophysical modeling and experimental recordings.
bioRxiv · Sep 23, 2026 · PreprintNeuroscience
Ryan Shores, Takfarinas Medani, Anand Joshi, Camryn Matthews, Yash Shashank Vakilna, Jay R. Gavvala, Richard M. Leahy, Sandipan Bankim Behari Pati, John C. Mosher, Nitin Tandon, John P. Seymour
This study demonstrates that directional microelectrode arrays improve seizure detection and spatial localization compared to traditional ring electrodes in a rat model.
bioRxiv · Jun 16, 2026 · PreprintNeuroscience
Chinmay Chinara, Raymundo Cassani, Takfarinas Medani, Anand A. Joshi, Samuel Médina Villalon, Yash Shashank Vakilna, Johnson P. Hampson, Kenneth Taylor, François Tadel, Dileep R Nair, Christian Bénar, Sylvain Baillet, John C. Mosher, Richard M. Leahy
sEEG-Suite provides a semi-automated pipeline for sEEG contact localization and anatomical labeling within Brainstorm, improving accuracy and efficiency in epileptic network mapping.
The Journal of Open Source Software · Jun 4, 2026Peer-reviewedNeuroscience
Jace A. Willis, Christopher E. Wright, Ruoqian Zhu, Yilan Ruan, Joshua Stallings, Amada M. Abrego, Takfarinas Medani, Promit Moitra, Arjun Ramakrishnan, Charles E. Schroeder, Anand A. Joshi, Nitin Tandon, Richard M. Leahy, John C. Mosher, John P. Seymour
This paper introduces tools to optimize electrode placement and maximize information capacity for local field potentials in the cortex using subject-specific modeling.
NeuroImage · Jan 21, 2026Peer-reviewedNeuroscience
Hugo Ramirez, Davide Tabarelli, Arianna Brancaccio, Paolo Belardinelli, Elisabeth Breese Marsh, Michael E. Funke, John C. Mosher, Fernando Maestú, Mengjia Xu, Dimitrios Pantazis
This study uses hyperbolic neural networks to analyze MEG brain networks from the Cam-CAN dataset, revealing age-related hierarchical changes in brain subnetworks.
IEEE Journal of Biomedical and Health Informatics · Mar 6, 2025Peer-reviewedBioinformatics
Amita Giri, Lukas Hecker, John C. Mosher, Amir Adler, Dimitrios Pantazis
The paper introduces PATCH-AP, a source localization method for MEG that outperforms existing techniques in localizing both discrete and extended neural sources.
IEEE Transactions on Neural Systems and Rehabilitation Engineering · Jan 1, 2025Peer-reviewedNeuroscience
Cole Baker, Isabel Suárez‐Méndez, Grace Smith, Elisabeth Breese Marsh, Michael E. Funke, John C. Mosher, Fernando Maestú, Mengjia Xu, Dimitrios Pantazis
This study uses hyperbolic graph embedding to analyze MEG brain networks in individuals with subjective cognitive decline, identifying hierarchical differences linked to cognitive impairment.
IEEE Journal of Biomedical and Health Informatics · Jun 19, 2024Peer-reviewedBioinformatics
Meredith J. McCarty, Oscar Woolnough, John C. Mosher, John P. Seymour, Nitin Tandon
This study quantifies the spatial resolution of intracranial EEG recordings by analyzing signal correlation with distance, showing how electrode type, frequency, and referencing affect field potential spread.
eNeuro · Mar 1, 2022Peer-reviewedNeuroscience
Amit Kumar Jaiswal, Jukka Nenonen, Matti Stenroos, Alexandre Gramfort, Sarang S. Dalal, Britta U. Westner, Vladimir Litvak A, John C. Mosher, Jan‐Mathijs Schoffelen, Caroline Witton, Robert Oostenveld, Lauri T. Parkkonen
This study compares LCMV beamformer implementations across four MEG toolboxes, finding reliable source localization at typical SNR but differences in sensitivity to preprocessing parameters and SNR effects.
NeuroImage · Apr 8, 2020Peer-reviewedNeuroscience