A
Ankit N. Khambhati
Researcher at University of California, San Francisco
Publications - 68
Citations - 1993
Ankit N. Khambhati is an academic researcher from University of California, San Francisco. The author has contributed to research in topics: Epilepsy & Ictal. The author has an hindex of 18, co-authored 58 publications receiving 1377 citations. Previous affiliations of Ankit N. Khambhati include University of California, Berkeley & Carnegie Mellon University.
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Journal ArticleDOI
Virtual Cortical Resection Reveals Push-Pull Network Control Preceding Seizure Evolution.
TL;DR: A novel tool for pinpointing brain regions that facilitate synchronization in the epileptic network is developed and it is suggested that greater antagonistic push-pull interaction between synchronizing and desynchronizing brain regions better constrains seizure spread.
Journal ArticleDOI
Dynamic Network Drivers of Seizure Generation, Propagation and Termination in Human Neocortical Epilepsy.
Ankit N. Khambhati,Kathryn A. Davis,Brian S. Oommen,Brian S. Oommen,Stephanie Chen,Stephanie Chen,Timothy H. Lucas,Timothy H. Lucas,Brian Litt,Brian Litt,Danielle S. Bassett +10 more
TL;DR: A novel technique is developed to objectively track seizure states from dynamic functional networks constructed from intracranial recordings that implicate distributed cortical structures in seizure generation, propagation and termination, and may have practical significance in determining which circuits to modulate with implantable devices.
Journal ArticleDOI
A translational platform for prototyping closed-loop neuromodulation systems.
Pedram Afshar,Ankit N. Khambhati,Scott R. Stanslaski,David L. Carlson,Randy M. Jensen,Dave Linde,Siddharth Dani,Maciej T. Lazarewicz,Peng Cong,Jon Giftakis,Paul H. Stypulkowski,Timothy J. Denison +11 more
TL;DR: The platform is designed to be a flexible prototyping tool and could be used to develop improved mechanistic models and automated closed-loop systems for a variety of neurological disorders.
Journal ArticleDOI
Modeling and interpreting mesoscale network dynamics.
TL;DR: Recent advances in a range of modeling approaches that embrace the temporally-evolving interconnected structure of the brain and summarize that structure in a dynamic graph are reviewed.
Journal ArticleDOI
Closed-loop neuromodulation in an individual with treatment-resistant depression.
Katherine W. Scangos,Katherine W. Scangos,Ankit N. Khambhati,Ankit N. Khambhati,Patrick M. Daly,Patrick M. Daly,Ghassan S. Makhoul,Ghassan S. Makhoul,Leo P. Sugrue,Leo P. Sugrue,Hashem Zamanian,Hashem Zamanian,Tony X. Liu,Tony X. Liu,Vikram R. Rao,Vikram R. Rao,Kristin K. Sellers,Kristin K. Sellers,Heather E. Dawes,Heather E. Dawes,Philip A. Starr,Philip A. Starr,Andrew D. Krystal,Andrew D. Krystal,Edward F. Chang,Edward F. Chang +25 more
TL;DR: In this article, a biomarker-driven closed-loop therapy for depression using implanted electrodes to continually sense brain activity and automatically trigger direct brain electrical stimulation in high-depression states was described.