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Journal Articles

  1. Zhang, X.*, Hancock, R., & Santaniello, S. (2021). “Transcranial direct current stimulation of cerebellum alters spiking precision in cerebellar cortex: A modeling study of cellular responses,” PLoS Computational Biology, 17(12), e1009609. DOI: 10.1371/journal.pcbi.1009609
  2. Schreglmann, …,  Zhang, X.*, …, Santaniello, S., … & Grossman, N. (2021). Non-invasive suppression of essential tremor via phase-locked disruption of its temporal coherence. Nature Communications, 12(1), 363. DOI: 10.1038/s41467-020-20581-7
  3. Kang Y-J, Clement, EM, Sumsky SL*, Xiang Y, Park I-N, Santaniello S, Greenfield LJ Jr., Garcia-Rill E, Lee S-H (2020) “The Critical Role of Persistent Sodium Current in Hippocampal Gamma Oscillations,” Neuropharmacology, vol. 162:107787. DOI: 10.1016/j.neuropharm.2019.107787
  4. Sood D, Cairns DM, Dabbi JM, Ramakrishnan C, Deisseroth K, Black LD, III, Santaniello S, Kaplan DL (2019) “Functional Maturation of Human Neural Stem Cells in a 3D Bioengineered Brain Model Enriched with Fetal Brain-derived Matrix,” Sci. Rep., vol. 9:17874. DOI: 10.1038/s41598-019-54248-1
  5. Zhang, X.*, Santaniello, S. (2019) “Role of Cerebellar GABAergic Dysfunctions in the Origins of Essential Tremor,” Proc. Nat. Acad. Sci. USA., vol. 116(27):13592-601. DOI: 10.1073/pnas.1817689116. NEURON codes are available at: http://modeldb.yale.edu/257028.
  6. Saxena S, Sarma SV, Patel SR, Santaniello S, Eskandar EN, Gale JT (2019) “Modulations in Oscillatory Activity of Globus Pallidus Internus Neurons During a Directed Hand Movement Task — A Primary Mechanism for Motor Planning,” Front. Syst. Neurosci., vol. 13:15. DOI: 10.3389/fnsys.2019.00015
  7. Sumsky SL*, Santaniello S (2019) “Decision Support System for Seizure Onset Zone Localization based on Channel Ranking and High Frequency EEG Activity,” IEEE J. Biomed. Health Inf., vol. 23(4):1535-45. DOI: 10.1109/JBHI.2018.2867875
  8. Tang-Schomer M, Jackvony T, Santaniello S (2018) “Cortical Network Synchrony under Applied Electrical Field in Vitro,” Front. Neurosci., vol. 12:630. DOI: 10.3389/fnins.2018.00630
  9. Santaniello S, Gale, JT, Sarma SV (2018) “Systems approaches to optimizing deep brain stimulation therapies in Parkinson’s disease,” WIREs Syst Biol Med, e1421. DOI: 10.1002/wsbm.1421
  10. Sumsky SL*, Schieber MH, Thakor NV, Sarma SV, Santaniello S (2017) “Decoding Kinematics Using Task-Independent Movement-Phase-Specific Encoding Models,” IEEE Trans. Neural Syst. Rehabil. Eng., 25(11):2122-32. DOI: 10.1109/TNSRE.2017.2709756
  11. Kang X, Sarma SV, Santaniello S, Schieber M, Thakor NV (2015) “Task-Independent Cognitive State Transition Detection from Cortical Neurons during 3D Reach-to-Grasp Movements,” IEEE Trans. Neural Syst. Rehabil. Eng., vol. 23(4):676-82. DOI: 10.1109/TNSRE.2015.2396495
  12. Yaffe RB, Borger P, Megevand P, Groppe DM, Kramer MA, Chu CJ, Santaniello S, Meisel C, Mehta AD, Sarma SV (2015) “Physiology of Functional and Effective Networks in Epilepsy,” Clin. Neurophysiol., vol. 126(2):227-36. DOI: 10.1016/j.clinph.2014.09.009
  13. Santaniello S, McCarthy MM, Montgomery EB Jr., Gale JT, Kopell N, Sarma SV (2015) “Therapeutic Mechanisms of High Frequency Stimulation in Parkinson’s Disease and Neural Restoration via Loop-based Reinforcement,” Proc. Nat. Acad. Sci. USA, vol. 112(6):E586-95. DOI: 10.1073/pnas.1406549111
  14. Burns SP*, Santaniello S*, Yaffe RB, Jouny CC, Crone NE, Bergey GK, Anderson WS, Sarma SV (2014) “Network Dynamics of the Epileptic Brain and the Influence of Seizure Focus,” Proc. Nat. Acad. Sci. USA, vol. 111(49):E5321-30. DOI: 10.1073/pnas.1401752111
  15. Santaniello S, Sherman DL, Thakor NV, Eskandar EN, Sarma SV (2012) “Optimal Control-based Bayesian Detection of Clinical and Behavioral State Transitions,” IEEE Trans. Neural Syst. Rehabil. Eng., vol. 20(5):708-19. DOI: 10.1109/TNSRE.2012.2210246
  16. Santaniello S, Montgomery EB Jr., Gale JT, Sarma SV (2012) “Non-stationary Discharge Patterns in Motor Cortex under Subthalamic Nucleus Deep Brain Stimulation,” Front. Integr. Neurosci., vol. 6:35. DOI: 10.3389/fnint.2012.00035
  17. Santaniello S, Burns SP, Golby AJ, Singer JM, Anderson WS, Sarma SV (2011) “Quickest Detection of Drug-Resistant Seizures: An Optimal Control Approach,” Epilepsy Behav., vol. 22(Suppl. 1):S49-60. DOI: 10.1016/j.yebeh.2011.08.041
  18. Santaniello S, Fiengo G, Glielmo L, Grill WM (2011) “Closed-Loop Control of Deep Brain Stimulation: A Simulation Study,” IEEE Trans. Neural Syst. Rehabil. Eng., vol. 19(1):15-24. DOI: 10.1109/TNSRE.2010.2081377
  19. Santaniello S, Fiengo G, Glielmo L, Catapano G (2008) “A Biophysically Inspired Microelectrode Recording-based Model for the Subthalamic Nucleus Activity in Parkinson’s Disease,” Biomed. Signal Process. & Control, vol. 3(3):203-11. DOI: 10.1016/j.bspc.2008.03.001

 

Book Chapters

  1. Zhang, X.*, Santaniello, S. (2022). Optimal and Adaptive Stimulation Design. In: Thakor, N.V. (eds) Handbook of Neuroengineering. Springer, Singapore. DOI: 10.1007/978-981-15-2848-4_60-1
  2. Santaniello S, Burns SP, Anderson WS, Sarma SV (2014) “An Optimal Control Approach to Seizure Detection in Drug-Resistant Epilepsy” in A Systems Theoretic Approach to Systems and Synthetic Biology I: Models and System Characterization (Kulkarni VV, Stan G-B, Raman K Eds.)., chapter 6, pp. 153-178. New York, NY: Springer. DOI: 10.1007/978-94-017-9041-3_6

Patents

  1. Sarma SV, Santaniello S, Samuel PB, Munther D. “Seizure detection device and systems,” US Patent #9,737,230.

 

Peer-Reviewed Conference Proceedings

  1. Sumsky SL*, Santaniello S (2018) “Temporal pattern of ripple events in temporal lobe epilepsy: Towards a pattern-based localization of the seizure onset zone,” 40th IEEE Annual Conference of the EMBS (EMBC). Honolulu, HI, pp. 2288-91. DOI: 10.1109/EMBC.2018.8512742
  2. Huang HD, Santaniello S (2017) “Closed-loop low-frequency DBS restores thalamocortical relay fidelity in a computational model of the motor loop,” 39th IEEE Annual Conference of the EMBS (EMBC). Jeju Island, Korea, pp. 1954-7. DOI: 10.1109/EMBC.2017.8037232
  3. Deng C, Sun T, Zhang M, Gale JT, Montgomery EB, Jr., Santaniello S (2017) “Effects of the temporal pattern of subthalamic deep brain stimulation on the neuronal complexity in the globus pallidus,” 39th IEEE Annual Conference of the EMBS (EMBC). Jeju Island, Korea, pp. 3352-5. DOI: 10.1109/EMBC.2017.8037574
  4. Murphy PM, von Paternos AJ, Santaniello S (2017) “A novel HFO-based method for unsupervised localization of the seizure onset zone in drug-resistant epilepsy,”39th IEEE Annual Conference of the EMBS (EMBC). Jeju Island, Korea, pp. 1054-7. IEEE. DOI: 10.1109/EMBC.2017.8037008
  5. Gunnarsdottir K, Sadashivaiah V, Kerr M, Santaniello S, Sarma, SV (2016) Using demographic and time series physiological features to classify sepsis in the intensive care unit. 38th IEEE Annual Conference of the EMBS (EMBC). Orlando, FL, pp. 778-82. DOI: 10.1109/EMBC.2016.7590817
  6. Santaniello S, Granite SJ, Sarma SV, Winslow RL (2014) “Computing Network-based Features from Physiological Time Series: Application to Sepsis Detection,” 36th IEEE Annual Conference of the EMBS (EMBC). Chicago, IL, pp. 3825-8. DOI: 10.1109/EMBC.2014.6944457
  7. Agarwal R, Santaniello S, Sarma SV (2014) “Generalizing Performance Limitations of Relay Neurons: Application to Parkinson’s Disease,” 36th IEEE Annual Conference of the EMBS (EMBC). Chicago, IL, pp. 6573-6. DOI: 10.1109/EMBC.2014.6945134
  8. Hao S, Subramanian S, Jordan A, Santaniello S, Yaffe RB, Jouny CC, Bergey GK, Anderson WS, Sarma SV (2014) “Computing Network-based Features from Intracranial EEG Time Series Data: Application to Seizure Focus Localization,” 36th IEEE Annual Conference of the EMBS (EMBC). Chicago, IL, pp. 5821-5. DOI: 10.1109/EMBC.2014.6944949
  9. Burns SP, Santaniello S, Anderson WS, Sarma SV (2013) “State Dynamics of the Epileptic Brain,” 6th ASME Annual Dynamic Systems and Control Conference (DSCC). Palo Alto, CA, pp. V002T22A001 (7 pages). DOI: 10.1115/DSCC2013-3708
  10. Santaniello S, Gale JT, Montgomery EB Jr., Sarma SV (2012) “A Point Process Model-Based Framework Reveals Reinforcement Mechanisms in Striatum During High Frequency STN DBS,” 51st IEEE Conference on Decision and Control (CDC). Maui, HI, pp. 1645-50. DOI: 10.1109/CDC.2012.6426098
  11. Santaniello S, Burns SP, Sarma SV (2012) “Automatic Seizure Onset Detection in Drug-Resistant Epilepsy: A Bayesian Optimal Solution,” 51st IEEE Conference on Decision and Control (CDC). Maui, HI, pp. 3189-94. DOI: 10.1109/CDC.2012.6426566
  12. Santaniello S, Gale JT, Montgomery EB Jr., Sarma SV (2012) “Reinforcement Mechanisms in Putamen during High Frequency STN DBS: A Point Process Study,” 34th IEEE Annual Conference of the EMBS (EMBC). San Diego, CA, pp. 1214-7. DOI: 10.1109/EMBC.2012.6346155
  13. Pedoto G, Santaniello S, Fiengo G, Glielmo L, Hallett M, Zhuang P, Sarma SV (2012) “Point Process Modeling Reveals Anatomical Non-Uniform Distribution across the Subthalamic Nucleus in Parkinson’s Disease,” 34th IEEE Annual Conference of the EMBS (EMBC). San Diego, CA, pp. 2539-42. DOI: 10.1109/EMBC.2012.6346481
  14. Pedoto G, Santaniello S, Fiengo G, Glielmo L, Hallett M, Zhuang P, Sarma SV (2012) “Towards Automated Navigation of Deep Brain Stimulating Electrodes: Analyzing Neuronal Activity near the Target,” IEEE International Conference on Control Applications (CCA). Dubrovnik, Croatia, pp. 782-7. DOI: 10.1109/CCA.2012.6402474
  15. Santaniello S, Burns SP, Sarma SV (2012) “Quickest Seizure Onset Detection in Drug-Resistant Epilepsy,” IEEE 32nd American Control Conference (ACC). Montreal, Canada, pp. 4771-6. DOI: 10.1109/ACC.2012.6314753
  16. Santaniello S, Sherman D, Mirski M, Thakor N, Sarma SV (2011) “A Bayesian Framework for Analyzing iEEG Data from a Rat Model of Epilepsy,” 33rd IEEE Annual Conference of the EMBS (EMBC). Boston, MA, pp. 1435-8. DOI: 10.1109/IEMBS.2011.6090355
  17. Sarma SV, Santaniello S, (2011) “Quickest Detection of State-Transition in Point Processes: Application to Neuronal Activity,” 18th IFAC World Conference. Milan, Italy, vol. 18, pp. 10021-6. DOI: 10.3182/20110828-6-IT-1002.03408
  18. Santaniello S, Sarma SV (2011) “Quickest Detection of State-Transition in Neuronal Data,” 5th IEEE Conference on Neural Engineering (NER). Cancun, Mexico, pp. 108-111. DOI: 10.1109/NER.2011.5910500
  19. Pedoto G, Santaniello S, Montgomery EB Jr., Gale JT, Fiengo G, Glielmo L, Sarma SV (2010) “Analyzing Local Field Potentials in the Healthy Basal Ganglia under Deep Brain Stimulation,” 49th IEEE Conference on Decision and Control (CDC). Atlanta, GA, pp. 6064-8. DOI: 10.1109/CDC.2010.5717450
  20. Santaniello S, Gale JT, Montgomery EB Jr., Sarma SV (2010) “Modeling the Effects of Deep Brain Stimulation on Sensorimotor Cortex in Normal and MPTP Conditions,” 32nd IEEE Annual Conference of the EMBS (EMBC). Buenos Aires, Argentina, pp. 2081-4. DOI: 10.1109/IEMBS.2010.5626285
  21. Santaniello S, Gale JT, Montgomery EB Jr., Sarma SV (2010) “Modeling the Motor Striatum under Deep Brain Stimulation in Normal and MPTP Conditions,” 32nd IEEE Annual Conference of the EMBS (EMBC). Buenos Aires, Argentina, pp. 2065-8. DOI: 10.1109/IEMBS.2010.5626354
  22. Saxena S, Santaniello S, Montgomery EB Jr., Gale JT, Sarma SV (2010) “Point Process Models Show Temporal Dependencies of Basal Ganglia Nuclei under Deep Brain Stimulation,” 32nd IEEE Annual Conference of the EMBS (EMBC). Buenos Aires, Argentina, pp. 4152-5. DOI: 10.1109/IEMBS.2010.5627350
  23. Pedoto G, Santaniello S, Montgomery EB Jr., Gale JT, Fiengo G, Glielmo L, Sarma SV (2010) “System Identification of Local Field Potentials under Deep Brain Stimulation in a Healthy Primate,” 32nd IEEE Annual Conference of the EMBS (EMBC). Buenos Aires, Argentina, pp. 4144-7. DOI: 10.1109/IEMBS.2010.5627356
  24. Pedoto G, Santaniello S, Fiengo G, Glielmo L (2010) “Identification and Analysis of Local Field Potentials in Parkinson’s Disease under Nonlinear Delayed Feedback Stimulation,” IEEE 30th American Control Conference (ACC). Baltimore, MD, pp. 462-7. DOI: 10.1109/ACC.2010.5530972
  25. Santaniello S, Fiengo G, Glielmo L (2009) “Nicely Nonlinear LQ-based Control,” IFAC European Control Conference (ECC). Budapest, Hungary, pp. 1426–31. Link
  26. Ricci A, Santaniello S, Fiengo G, Glielmo L (2009) “Linear Quadratic Control for Restoring Paralyzed Muscles to Standing through Functional Electrical Stimulation in Paraplegic Patients,” IFAC European Control Conference (ECC). Budapest, Hungary, pp. 3052-7. Link
  27. Santaniello S, Fiengo G, Glielmo L, Grill WM (2007) “Basal Ganglia Modeling in Healthy and Parkinson’s Disease State. I. Isolated Neurons Activity,” IEEE 26th American Control Conference (ACC). New York, NY, pp. 4089-94. DOI: 10.1109/ACC.2007.4282741
  28. Santaniello S, Fiengo G, Glielmo L, Grill WM (2007) “Basal Ganglia Modeling in Healthy and Parkinson’s Disease State. II. Network-based Multi-Units Simulation,” IEEE 26th American Control Conference (ACC). New York, NY, pp. 4095-100. DOI: 10.1109/ACC.2007.4282742
  29. Santaniello S, Fiengo G, Glielmo L, Catapano G (2006) “Dynamic Modeling and Statistical Characterization of the Subthalamic Nucleus Neural Activity in Parkinson’s Disease Patients,” IEEE 25th American Control Conference (ACC). Minneapolis, MN, pp. 4812-4817. DOI: 10.1109/ACC.2006.1657482

 

Abstracts in International Conferences

  1. Zhang X*, Hancock R, Santaniello S (2019) “Modeling the cellular effects of transcranial electrical stimulation on the cerebellum,” Neuroscience 2019, Chicago, IL, October 19-23.
  2. Schreglmann S, Wang D, Peach R, Zhang X*, Li J, Panella E, Boyden E, Barahona M, Santaniello S, Bhatia K, Rothwell J, Grossman N (2019) “Suppression of essential tremor via phase-locked driven disruption of temporal coherence,” Neuroscience 2019, Chicago, IL, October 19-23.
  3. Hou B, Santaniello S, Tzingounis AV (2019) “Loss of KCNQ2 channels from interneurons leads to augmented NMDA receptor driven neuronal synchrony in the neonatal forebrain,” Neuroscience 2019, Chicago, IL, October 19-23.
  4. Sumsky SL*, Santaniello S (2019) “Temporal evolution and diagnostic utility of high frequency oscillations in the brain under epilepsy,” 41st IEEE Annual Conference of the EMBS (EMBC). Berlin, Germany, July 23-27.
  5. Sumsky SL*, Somma T, Santaniello S, Schomer M (2018) “Spatial arrangement of HFOs correlates with interictal spikes on scalp EEG in pediatric epilepsy,” 72th American Epilepsy Society Annual Meeting (AES). New Orleans, LA, November 30-December 4.
  6. Sumsky SL*, Santaniello S (2018) “A distinguished temporal pattern of HFO events characterizes the seizure onset zone in temporal lobe epilepsy,” 72th American Epilepsy Society Annual Meeting (AES). New Orleans, LA, November 30-December 4.
  7. Zhang X*, Santaniello S (2018) “A computational model of the cortico-cerebello-thalamo-cortical pathway under essential tremor and cerebellar stimulation,” Neuroscience 2018 (SfN). San Diego, CA, November 3-7.
  8. Sumsky SL*, Santaniello S (2018) “Identification of the seizure onset zone in drug-resistant epilepsy based on high frequency interictal EEG activity and machine learning,” Annual Meeting of the Biomedical Engineering Society (BMES). Atlanta, GA, October 17-20.
  9. Sumsky SL*, Somma T, Santaniello S, Schomer M (2018) “Unsupervised classification and analysis of interictal ripples in scalp EEG as a noninvasive biomarker of pediatric epilepsy,” 47th Annual Meeting of the Child Neurology Society. Chicago, IL. October 15-18.
  10. Myers P, Santaniello S (2018) “A machine learning solution to identify signature traits in optimized DBS patterns for Parkinson’s disease,” NYC Neuromodulation Conference. New York, NY, August 24-26.
  11. Zhang X*, Santaniello S (2018) “A computational model of the cortico-cerebello-thalamo-cortical pathway under essential tremor and cerebellar neuromodulation,” NYC Neuromodulation Conference. New York, NY, August 24-26.
  12. Sumsky SL*, Santaniello S (2018) “Machine-learning-enabled decision support system for the identification of the seizure onset zone in drug-resistant epilepsy based on high frequency interictal EEG activity,” Military Health System Research Symposium (MHSRS). Kissimmee, FL, August 20-23.
  13. Sumsky SL*, Santaniello S (2018) “Automated identification of the seizure onset zone in drug-resistant epilepsy based on high frequency iEEG activity,” 6th Minnesota Neuromodulation Symposium. Minneapolis, MN, April 12-13.
  14. Sumsky SL*, Santaniello S (2018) “Automated identification of the seizure onset zone in epilepsy and HFOs,” 44th Annual Northeast Bioengineering Conference (NEBEC). Philadelphia, PA, March 28-30.
  15. von Paternos AJ, Murphy PM, Schmidt S, Hassan S, Santaniello S (2017) “A diagnostic system for automatic seizure onset zone localization,” Annual Meeting of the Biomedical Engineering Society (BMES). Phoenix, AZ, October 11-13.
  16. Jackvony T, Tang-Schomer MD, Kaplan DL, Santaniello S (2017) “Electrical stimulation for neuronal activation and 3D growth in vitro,” Annual Meeting of the Biomedical Engineering Society (BMES). Phoenix, AZ, October 11-13.
  17. Sumsky SL*, Santaniello S (2016) “State-feedback regulation of thalamic deep brain stimulation in a computational model of tremulous Parkinson’s disease,” 38th IEEE Annual Conference of the EMBS (EMBC). Orlando, FL. August 17-19.
  18. Santaniello S, McCarthy MM, Montgomery EB Jr., Gale JT, Kopel N, Sarma SV (2015) “Neural restoration via loop-based reinforcement in Parkinson’s disease: a mechanism of therapeutic high frequency stimulation,” 3rd Minnesota Neuromodulation Symposium. Minneapolis, MN, April 16-17.
  19. Burns SP, Santaniello S, Anderson WS, Sarma SV (2014) “Brain state dynamics and the role of the epileptogenic zone,” 68th American Epilepsy Society Annual Meeting. Seattle, WA, December 5-9.
  20. Santaniello S, McCarthy MM, Montgomery EB Jr., Gale JT, Kopel N, Sarma SV (2014) “Neural restoration via loop-based reinforcement: a mechanism of therapeutic high frequency stimulation in Parkinson’s disease,” Neuroscience Washington, DC, November 15-19.
  21. Santaniello S, McCarthy MM, Montgomery EB Jr., Gale JT, Kopel N, Sarma SV (2014) “Neural restoration via loop-based reinforcement: a mechanism of therapeutic high frequency stimulation in Parkinson’s disease,” NSF CRCNS Principal Investigators Meeting. Tempe, AZ, October 27-28.
  22. Santaniello S, Montgomery EB Jr., Gale JT, Sarma SV (2014) “High frequency deep brain stimulation elicits neural restoration via loop-based reinforcement,” Annual Meeting on Computational and Systems Neuroscience (COSYNE). Salt Lake City, UT, February 27 -March 2.
  23. Sarma SV, Burns SP, Santaniello S, Anderson WS (2013) “State dynamics of the epileptic brain and the influence of seizure focus,” International Workshop on Seizure Prediction (IWSP). San Diego, CA, November 5-7.
  24. Burns SP, Santaniello S, Yaffe RB, Jouny CC, Crone NE, Bergey GK, Anderson WS, Sarma SV (2013) “The dynamics of epileptic brain states and the influence of seizure foci,” Annual Meeting on Computational and Systems Neuroscience (COSYNE). Salt Lake City, UT, February 28 -March 3.
  25. Santaniello S, Burns SP, Sarma SV (2012) “Brain dynamics at seizure onsets in drug-resistant epilepsy: a multivariate Bayesian model,” Annual Meeting of the Biomedical Engineering Society (BMES). Atlanta, GA, October 24-27.
  26. Santaniello S, Burns SP, Sarma SV (2012) “A multivariate Bayesian model to study ictal brain dynamics in drug-resistant epilepsy,” Neuroscience 2012. New Orleans, LO, October 13-17.
  27. Subramanian S, Hao S, Santaniello S, Burns SP, Jouny CC, Bergey G, Anderson WS, Sarma SV (2012) “Identifying signatures of epileptogenic zone using network centrality,” 34th IEEE EMBS Annual Conference. San Diego, CA, August 28 – September 1.
  28. Santaniello S, Burns SP, Golby AJ, Singer JM, Anderson WS, Sarma SV (2012) “A multivariate Bayesian framework for modeling brain dynamics at seizure onsets in drug-resistant epilepsy patients,” 6th International Workshop on Statistical Analysis of Neuronal Data (SAND6). Pittsburgh, PA, May 31 – June 2.
  29. Santaniello S, Burns SP, Golby AJ, Singer JM, Anderson WS, Sarma SV (2012) “A multivariate Bayesian model of brain dynamics during seizure in drug-resistant epilepsy,” 16th International Conference on Cognitive and Neural Systems (ICCNS). Boston, MA, May 30 – June 1.
  30. Santaniello S, Burns SP, Golby AJ, Singer JM, Anderson WS, Sarma SV (2012) “A multivariate Bayesian framework for modeling brain dynamics at seizure onsets in drug-resistant epilepsy patients,” Towards Mathematical Modeling of Neurological Disease from Cellular Perspectives: Epilepsy Workshop. Toronto, Canada, May 29-30.
  31. Santaniello S, Montgomery EB Jr., Gale JT, Sarma SV (2012) “High frequency STN DBS elicits reinforcement mechanisms in the motor striatum in normal and MPTP non-human primates,” Towards Mathematical Modeling of Neurological Disease from Cellular Perspectives: Parkinson’s Disease Workshop. Toronto, Canada, May 22-23.
  32. Santaniello S, Sarma SV (2011) “Quickest detection of seizure onsets from multisite intracortical EEGs (iEEGs),” 65th American Epilepsy Society Annual Meeting. Baltimore, MD, December 2-6.
  33. Burns SP, Santaniello S, Kerr M, Sarma SV (2011) “A Multivariate analysis of connectivity in ECoG data during seizure,” 65th American Epilepsy Society Annual Meeting. Baltimore, MD, December 2-6.
  34. Santaniello S, Sarma SV (2011) “An optimal Bayesian paradigm for early seizure detection in multichannel intracortical EEG recordings from a rat model of epilepsy,” Neuroscience 2011. Washington, DC, November 12-16.
  35. Santaniello S, Burns SP, Madsen J, Singer J, Anderson WS, Sarma SV (2011) “Quickest detection of seizure onsets from multi-channel intracortical EEGs (iEEGs),” International Workshop on Seizure Prediction (IWSP). Dresden, Germany, September 19-23.
  36. Burns SP, Santaniello S, Madsen J, Singer J, Anderson WS, Sarma SV (2011) “A multivariate analysis of connectivity in ECoG data during seizure,” International Workshop on Seizure Prediction (IWSP). Dresden, Germany, September 19-23.
  37. Santaniello S, Sarma SV (2011) “Quickest detection of state-transition in point processes: Application to neuronal activity,” National Control Engineering Students Workshop. College Park, MD, April 28 – May 1.
  38. Saxena S, Santaniello S, Montgomery EB Jr., Gale JT, Sarma SV (2010) “Point process modeling of basal ganglia activity under deep brain stimulation,” Neural Interface Conference (NIC). Long Beach, CA, June 21-23.
  39. Santaniello S, Gale JT, Montgomery EB Jr., Sarma SV (2010) “Using point process models to describe the cortico-striatal and pallido-striatal dependencies in normal and MPTP primates,” Symposium on emerging topics in control and modeling: Biomedical systems. Urbana-Champaign, IL, April 22-23.
  40. Santaniello S, Gale JT, Montgomery EB Jr., Sarma SV (2010) “Point process modeling of cortical spiking activity in normal and MPTP primates during deep brain stimulation,” Symposium on emerging topics in control and modeling: Biomedical systems. Urbana-Champaign, IL, April 22-23.
  41. Iorio G, Santaniello S, Bozza M, Fiengo G, Glielmo L, De Pandis MF, Catapano G (2008) “A model of the neural activity in the basal ganglia under Parkinson’s disease,” 59th Annual Meeting of the German Society of Neurosurgery (DGNC). Wurzburg, Germany, June 1-4.
  42. Iorio G, Santaniello S, Bozza M, Fiengo G, Glielmo L, De Pandis MF, Catapano G (2008) “Neural activity in the basal ganglia under Parkinson’s disease conditions: a modeling study,” Annual Meeting of the Italian Society of Neurosurgery. November 5-8.
  43. Iorio G, Santaniello S, Profeta L, Bozza M, De Pandis MF, Glielmo L, Catapano G (2006) “Analysis of MER signals and modeling of the STN spiking activity in Parkinson’s disease patients,” Annual Meeting of the Italian Society of Neurosurgery. November 9-11.
  44. Santaniello S, Fiengo G, Glielmo L (2006) “Basal ganglia modeling in normal and Parkinsonian state,” Annual Meeting of the Italian Society of Automatic Control Engineers (CIRA). September 4-6.
  45. Santaniello S, Fiengo G, Glielmo L (2005) “A biophysically inspired model of the subthalamic nucleus in Parkinson’s disease,” 17th International Conference of the Society for Medical Innovation and Technology (SMIT). Napoli, Italy, September 28 – October 1.

 

* Graduate student(s) in the lab