Ankit N Khambhati

Affiliations: 
2010-2017 Bioengineering University of Pennsylvania, Philadelphia, PA, United States 
 2018- Neurological Surgery University of California, San Francisco, San Francisco, CA 
Area:
neuroengineering, complex brain networks, network control, brain-computer interfaces, epilepsy
Google:
"Ankit Khambhati"
Mean distance: 15.95 (cluster 17)
 
SNBCP

Parents

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Tai Sing Lee research assistant 2005-2009 Carnegie Mellon
Robert M. Shapley research assistant 2009-2010 NYU
Brian Litt grad student 2010-2015 Penn
Edward Chang post-doc 2018- UCSF
Danielle S. Bassett post-doc 2016-2017 Penn
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Publications

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Andrews JP, Ammanuel S, Kleen J, et al. (2020) Early seizure spread and epilepsy surgery: A systematic review. Epilepsia
Kao CH, Khambhati AN, Bassett DS, et al. (2020) Functional brain network reconfiguration during learning in a dynamic environment. Nature Communications. 11: 1682
Ashourvan A, Goncalves Melo Pequito SD, Khambhati A, et al. (2020) Model-based design for seizure control by stimulation. Journal of Neural Engineering
Stacey W, Kramer M, Gunnarsdottir K, et al. (2019) Emerging roles of network analysis for epilepsy. Epilepsy Research. 159: 106255
Kini LG, Bernabei JM, Mikhail F, et al. (2019) Virtual resection predicts surgical outcome for drug-resistant epilepsy. Brain : a Journal of Neurology
Stiso J, Khambhati AN, Menara T, et al. (2019) White Matter Network Architecture Guides Direct Electrical Stimulation through Optimal State Transitions. Cell Reports. 28: 2554-2566.e7
Khambhati AN, Kahn AE, Costantini J, et al. (2019) Functional control of electrophysiological network architecture using direct neurostimulation in humans. Network Neuroscience (Cambridge, Mass.). 3: 848-877
Khambhati AN, Medaglia JD, Karuza EA, et al. (2018) Correction: Subgraphs of functional brain networks identify dynamical constraints of cognitive control. Plos Computational Biology. 14: e1006420
Khambhati AN, Medaglia JD, Karuza EA, et al. (2018) Subgraphs of functional brain networks identify dynamical constraints of cognitive control. Plos Computational Biology. 14: e1006234
Corsi MC, Chavez M, Schwartz D, et al. (2018) Integrating EEG and MEG Signals to Improve Motor Imagery Classification in Brain-Computer Interface. International Journal of Neural Systems. 1850014
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