| Phase I clinical trial for the feasibility and safety of remote ischemic conditioning for aneurysmal subarachnoid hemorrhage NR Gonzalez, M Connolly, JR Dusick, H Bhakta, P Vespa Neurosurgery 75 (5), 590-598, 2014 | 77 | 2014 |
| An inductively-powered wireless neural recording and stimulation system for freely-behaving animals B Lee, Y Jia, SA Mirbozorgi, M Connolly, X Tong, Z Zeng, B Mahmoudi, ... IEEE transactions on biomedical circuits and systems 13 (2), 413-424, 2019 | 68 | 2019 |
| Encephaloduroarteriosynangiosis for adult intracranial arterial steno-occlusive disease: long-term single-center experience with 107 operations NR Gonzalez, JR Dusick, M Connolly, F Bounni, NA Martin, ... Journal of neurosurgery 123 (3), 654-661, 2015 | 67 | 2015 |
| Peripheral vascular disease as remote ischemic preconditioning, for acute stroke M Connolly, A Bilgin-Freiert, B Ellingson, JR Dusick, D Liebeskind, ... Clinical neurology and neurosurgery 115 (10), 2124-2129, 2013 | 51 | 2013 |
| Remote ischemic conditioning alters methylation and expression of cell cycle genes in aneurysmal subarachnoid hemorrhage E Nikkola, A Laiwalla, A Ko, M Alvarez, M Connolly, YC Ooi, W Hsu, A Bui, ... Stroke 46 (9), 2445-2451, 2015 | 34 | 2015 |
| Effects of remote ischemic preconditioning on the coagulation profile of patients with aneurysmal subarachnoid hemorrhage: a case-control study F Mayor, A Bilgin-Freiert, M Connolly, M Katsnelson, JR Dusick, P Vespa, ... Neurosurgery 73 (5), 808-815, 2013 | 31 | 2013 |
| Characterization of the Relationship between Intracranial Pressure and Electroencephalographic Monitoring in Burst Suppressed Patients as an Indicator of Neurovascular Coupling M Connolly, P Vespa, N Pouratian, NR Gonzalez, X Hu Neurocritical Care, 2014 | 30 | 2014 |
| Multi-objective data-driven optimization for improving deep brain stimulation in Parkinson’s disease MJ Connolly, ER Cole, F Isbaine, C De Hemptinne, PA Starr, JT Willie, ... Journal of neural engineering 18 (4), 046046, 2021 | 25 | 2021 |
| A software-defined radio receiver for wireless recording from freely behaving animals Y Jia, B Lee, F Kong, Z Zeng, M Connolly, B Mahmoudi, M Ghovanloo IEEE transactions on biomedical circuits and systems 13 (6), 1645-1654, 2019 | 14 | 2019 |
| A machine learning approach to characterize the modulation of the hippocampal rhythms via optogenetic stimulation of the medial septum SE Park, NG Laxpati, CA Gutekunst, MJ Connolly, J Tung, K Berglund, ... International Journal of Neural Systems 29 (10), 1950020, 2019 | 13 | 2019 |
| A framework for designing data-driven optimization systems for neural modulation MJ Connolly, SE Park, NG Laxpati, SA Zaidi, M Ghetiya, AM Fernandez, ... Journal of Neural Engineering 18 (1), 016025, 2021 | 12 | 2021 |
| Optimizing neuromodulation based on surrogate neural states for seizure suppression in a rat temporal lobe epilepsy model SE Park, MJ Connolly, I Exarchos, A Fernandez, M Ghetiya, CA Gutekunst, ... Journal of Neural Engineering 17 (4), 046009, 2020 | 11 | 2020 |
| Meta-active learning in probabilistically safe optimization M Schrum, MJ Connolly, E Cole, M Ghetiya, R Gross, MC Gombolay IEEE Robotics and Automation Letters 7 (4), 10713-10720, 2022 | 10 | 2022 |
| Reproduction of consistent pulse-waveform changes using a computational model of the cerebral circulatory system M Connolly, X He, N Gonzalez, P Vespa, J DiStefano III, X Hu Medical engineering & physics 36 (3), 354-363, 2014 | 9 | 2014 |
| Bayesian optimization of asynchronous Distributed microelectrode theta stimulation and spatial memory O Ashmaig, M Connolly, RE Gross, B Mahmoudi 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 8 | 2018 |
| Learning state-dependent neural modulation policies with Bayesian optimization MJ Connolly, SE Park, RE Gross 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 7 | 2019 |
| Irregular optogenetic stimulation waveforms can induce naturalistic patterns of hippocampal spectral activity ER Cole, TE Eggers, DA Weiss, MJ Connolly, MC Gombolay, NG Laxpati, ... Biorxiv, 2022.09. 21.508935, 2022 | 6 | 2022 |
| Identification of an intracranial pressure (ICP) response function from continuously acquired electroencephalographic and ICP signals in burst-suppressed patients M Connolly, R Liou, P Vespa, X Hu Intracranial pressure and brain monitoring XV, 225-228, 2016 | 6 | 2016 |
| Characterization of cerebral vascular response to EEG bursts using ICP pulse waveform template matching M Connolly, P Vespa, X Hu Intracranial Pressure and Brain Monitoring XV, 291-294, 2016 | 6 | 2016 |
| Model-Driven Collection of Neural Modulation Data ER Cole, DP Grogan, TE Eggers, MJ Connolly, NG Laxpati, RE Gross 2021 10th International IEEE/EMBS Conference on Neural Engineering (NER …, 2021 | 5 | 2021 |
