Ankit N. Khambhati
Cited by
Cited by
Closed-loop neuromodulation in an individual with treatment-resistant depression
KW Scangos, AN Khambhati, PM Daly, GS Makhoul, LP Sugrue, ...
Nature Medicine, 1-5, 2021
Virtual cortical resection reveals push-pull network control preceding seizure evolution
AN Khambhati, KA Davis, TH Lucas, B Litt, DS Bassett
Neuron 91 (5), 1170-1182, 2016
Dynamic network drivers of seizure generation, propagation and termination in human neocortical epilepsy
AN Khambhati, KA Davis, BS Oommen, SH Chen, TH Lucas, B Litt, ...
PLoS computational biology 11 (12), e1004608, 2015
A translational platform for prototyping closed-loop neuromodulation systems
P Afshar, A Khambhati, S Stanslaski, D Carlson, R Jensen, D Linde, ...
Frontiers in neural circuits 6, 117, 2013
Modeling and interpreting mesoscale network dynamics
AN Khambhati, AE Sizemore, RF Betzel, DS Bassett
NeuroImage 180, 337-349, 2018
Crowdsourcing seizure detection: algorithm development and validation on human implanted device recordings
SN Baldassano, BH Brinkmann, H Ung, T Blevins, EC Conrad, K Leyde, ...
Brain 140 (6), 1680-1691, 2017
White matter network architecture guides direct electrical stimulation through optimal state transitions
J Stiso, AN Khambhati, T Menara, AE Kahn, JM Stein, SR Das, R Gorniak, ...
Cell reports 28 (10), 2554-2566. e7, 2019
Virtual resection predicts surgical outcome for drug-resistant epilepsy
LG Kini, JM Bernabei, F Mikhail, P Hadar, P Shah, AN Khambhati, ...
Brain 142 (12), 3892-3905, 2019
Evolution of brain network dynamics in neurodevelopment
LR Chai, AN Khambhati, R Ciric, TM Moore, RC Gur, RE Gur, ...
Network Neuroscience 1 (1), 14-30, 2017
Integrating EEG and MEG signals to improve motor imagery classification in brain–computer interface
MC Corsi, M Chavez, D Schwartz, L Hugueville, AN Khambhati, ...
International journal of neural systems 29 (01), 1850014, 2019
Long-term brain network reorganization predicts responsive neurostimulation outcomes for focal epilepsy
AN Khambhati, A Shafi, VR Rao, EF Chang
Science Translational Medicine 13 (608), eabf6588, 2021
Emerging frontiers of neuroengineering: a network science of brain connectivity
DS Bassett, AN Khambhati, ST Grafton
Annual review of biomedical engineering 19, 327-352, 2017
Emerging roles of network analysis for epilepsy
W Stacey, M Kramer, K Gunnarsdottir, J Gonzalez-Martinez, K Zaghloul, ...
Epilepsy research 159, 106255, 2020
A network engineering perspective on probing and perturbing cognition with neurofeedback
DS Bassett, AN Khambhati
Annals of the New York Academy of Sciences 1396 (1), 126-143, 2017
Functional control of electrophysiological network architecture using direct neurostimulation in humans
AN Khambhati, AE Kahn, J Costantini, Y Ezzyat, EA Solomon, RE Gross, ...
Network Neuroscience 3 (3), 848-877, 2019
Beyond modularity: Fine-scale mechanisms and rules for brain network reconfiguration
AN Khambhati, MG Mattar, NF Wymbs, ST Grafton, DS Bassett
NeuroImage 166, 385-399, 2018
A comprehensive practice guideline for magnetic resonance imaging compatibility in implanted neuromodulation devices
D Sayed, K Chakravarthy, K Amirdelfan, H Kalia, K Meacham, ...
Neuromodulation: Technology at the Neural Interface 23 (7), 893-911, 2020
Functional brain network reconfiguration during learning in a dynamic environment
CH Kao, AN Khambhati, DS Bassett, MR Nassar, JT McGuire, JI Gold, ...
Nature communications 11 (1), 1682, 2020
Recurring functional interactions predict network architecture of interictal and ictal states in neocortical epilepsy
AN Khambhati, DS Bassett, BS Oommen, SH Chen, TH Lucas, KA Davis, ...
eneuro 4 (1), 2017
Subgraphs of functional brain networks identify dynamical constraints of cognitive control
AN Khambhati, JD Medaglia, EA Karuza, SL Thompson-Schill, DS Bassett
PLoS computational biology 14 (7), e1006234, 2018
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