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Related Publications Accessible on NIH Databases

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  1. Krishnan B, Tousseyn S, Nayak CS, Aung T, Kheder A, Wang ZI, Wu G, Gonzalez-Martinez J, Nair D, Burgess R, Iasemidis L, Najm I, Bulacio J, Alexopoulos AV. Neurovascular networks in epilepsy: Correlating ictal blood perfusion with intracranial electrophysiology. Neuroimage. 2021 May 1;231:117838. doi: 10.1016/j.neuroimage.2021.117838. Epub 2021 Feb 10. PMID: 33577938.
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  2. Chaitanya G, Toth E, Pizarro D, Iasemidis L, Murray TA, Riley K, Pati S. Acute modulation of the limbic network with low and high-frequency stimulation of the human fornix. Epilepsy Behav Rep. 2020 Apr 23;14:100363. doi: 10.1016/j.ebr.2020.100363. PMID: 32435756; PMCID: PMC7232081.
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  3. Hutson TN, Rezaei F, Gautier NM, Indumathy J, Glasscock E, Iasemidis L. Directed Connectivity Analysis of the Neuro-Cardio- and Respiratory Systems Reveals Novel Biomarkers of Susceptibility to SUDEP. IEEE Open J Eng Med Biol. 2020;1:301-311. doi: 10.1109/ojemb.2020.3036544. Epub 2020 Nov 6. PMID: 34223181; PMCID: PMC8249082.
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  4. Pizarro D, Ilyas A, Chaitanya G, Toth E, Irannejad A, Romeo A, Riley KO, Iasemidis L, Pati S. Spectral organization of focal seizures within the thalamotemporal network. Ann Clin Transl Neurol. 2019 Sep;6(9):1836-1848. doi: 10.1002/acn3.50880. Epub 2019 Aug 30. PMID: 31468745; PMCID: PMC6764631.
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  5. Hossain I, Tan C, Doughty PT, Dutta G, Murray TA, Siddiqui S, Iasemidis L, Arumugam PU. A Novel Microbiosensor Microarray for Continuous ex Vivo Monitoring of Gamma-Aminobutyric Acid in Real-Time. Front Neurosci. 2018 Aug 7;12:500. doi: 10.3389/fnins.2018.00500. PMID: 30131664; PMCID: PMC6090213.
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  6. Hutson T, Pizarro D, Pati S, Iasemidis LD. Predictability and Resetting in a Case of Convulsive Status Epilepticus. Front Neurol. 2018 Mar 22;9:172. doi: 10.3389/fneur.2018.00172. PMID: 29623064; PMCID: PMC5874309.
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  7. Liu R, Karumuri B, Adkinson J, Hutson TN, Vlachos I, Iasemidis L. Multivariate Matching Pursuit Decomposition and Normalized Gabor Entropy for Quantification of Preictal Trends in Epilepsy. Entropy (Basel). 2018 May 31;20(6):419. doi: 10.3390/e20060419. PMID: 33265509; PMCID: PMC7512937.
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  8. Mishra V, Karumuri BK, Gautier NM, Liu R, Hutson TN, Vanhoof-Villalba SL, Vlachos I, Iasemidis L, Glasscock E. Scn2a deletion improves survival and brain-heart dynamics in the Kcna1-null mouse model of sudden unexpected death in epilepsy (SUDEP). Hum Mol Genet. 2017 Jun 1;26(11):2091-2103. doi: 10.1093/hmg/ddx104. PMID: 28334922; PMCID: PMC6075631.
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  9. Krishnan B, Vlachos I, Faith A, Mullane S, Williams K, Alexopoulos A, Iasemidis L. A novel spatiotemporal analysis of peri-ictal spiking to probe the relation of spikes and seizures in epilepsy. Ann Biomed Eng. 2014 Aug;42(8):1606-17. doi: 10.1007/s10439-014-1004-x. Epub 2014 Apr 17. PMID: 24740852; PMCID: PMC4099424.
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  10. Krishnan B, Faith A, Vlachos I, Roth A, Williams K, Noe K, Drazkowski J, Tapsell L, Sirven J, Iasemidis L. Resetting of brain dynamics: epileptic versus psychogenic nonepileptic seizures. Epilepsy Behav. 2011 Dec;22 Suppl 1(Suppl 1):S74-81. doi: 10.1016/j.yebeh.2011.08.036. PMID: 22078523; PMCID: PMC3237405.
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  11. Iasemidis LD. Seizure prediction and its applications. Neurosurg Clin N Am. 2011 Oct;22(4):489-506, vi. doi: 10.1016/j.nec.2011.07.004. PMID: 21939848; PMCID: PMC3237404.
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  12. Sabesan S, Chakravarthy N, Tsakalis K, Pardalos P, Iasemidis L. Measuring resetting of brain dynamics at epileptic seizures: application of global optimization and spatial synchronization techniques. J Comb Optim. 2009 Jan;17(1):74-97. doi: 10.1007/s10878-008-9181-x. PMID: 21709753; PMCID: PMC3120844.
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  13. Sabesan S, Good LB, Tsakalis KS, Spanias A, Treiman DM, Iasemidis LD. Information flow and application to epileptogenic focus localization from intracranial EEG. IEEE Trans Neural Syst Rehabil Eng. 2009 Jun;17(3):244-53. doi: 10.1109/TNSRE.2009.2023291. Epub 2009 Jun 2. PMID: 19497831; PMCID: PMC7841427.
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  14. Good LB, Sabesan S, Marsh ST, Tsakalis K, Treiman D, Iasemidis L. Control of synchronization of brain dynamics leads to control of epileptic seizures in rodents. Int J Neural Syst. 2009 Jun;19(3):173-96. doi: 10.1142/S0129065709001951. PMID: 19575507; PMCID: PMC3120842.
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  15. Chakravarthy N, Tsakalis K, Sabesan S, Iasemidis L. Homeostasis of brain dynamics in epilepsy: a feedback control systems perspective of seizures. Ann Biomed Eng. 2009 Mar;37(3):565-85. doi: 10.1007/s10439-008-9625-6. Epub 2009 Jan 6. PMID: 19125333; PMCID: PMC3120843.
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  16. Nair SP, Shiau DS, Principe JC, Iasemidis LD, Pardalos PM, Norman WM, Carney PR, Kelly KM, Sackellares JC. An investigation of EEG dynamics in an animal model of temporal lobe epilepsy using the maximum Lyapunov exponent. Exp Neurol. 2009 Mar;216(1):115-21. doi: 10.1016/j.expneurol.2008.11.009. Epub 2008 Nov 27. PMID: 19100262; PMCID: PMC2643305.
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  17. Iasemidis LD, Olson LD, Savit RS, Sackellares JC. Time dependencies in the occurrences of epileptic seizures. Epilepsy Res. 1994 Jan;17(1):81-94. doi: 10.1016/0920-1211(94)90081-7. PMID: 8174527.
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  18. Iasemidis LD, Sackellares JC, Zaveri HP, Williams WJ. Phase space topography and the Lyapunov exponent of electrocorticograms in partial seizures. Brain Topogr. 1990 Spring;2(3):187-201. doi: 10.1007/BF01140588. PMID: 2116818.
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Additional Publications

  1. Michele Sorreli, T. Noah Hutson, Leonardo Bocchi, Leonidas Iasemidis. “ Linear and Non-linear Directed Connectivity Analysis of the Cardio-Respiratory System in Type 1 Diabetes”, in Frontiers in Network Physiology, accepted for publication Feb 2022, in press."
     

  2. Meng-Chieh Lee, Shubhranshu Shekhar, Christos Faloutsos, T. Noah Hutson and Leon Iasemidis “Gen2Out: Detecting and Ranking Generalized Anomalies”, IEEE International Conference on Big Data, 2021
     

  3. T. Noah Hutson, “Organomics With Application to Neuro-Cardio-Respiratory Related Diseases”, Louisiana Tech University, Nov. 2020
     

  4. J. A. Adkinson , Bharat Karumuri, Timothy Hutson, Rui Liu, Omar Alamoudi, Ioannis Vlachos, Leonidas Iasemidis “Connectivity and Centrality Characteristics of the Epileptogenic Focus Using Directed Network Analysis,” IEEE Trans. Neural Syst. Rehabil. Eng., vol. 27, no. 1, pp. 22-30, 2018.
     

  5. R. Liu, B. Karumuri, J. Adkinson, T. N. Hutson, I. Vlachos, and L. Iasemidis, “Multivariate matching Pursuit decomposition and normalized Gabor entropy for quantification of preictal trends in epilepsy,” Entropy, vol. 20, no. 6, 2018.
     

  6. T. Hutson, D. Pizarro, S. Pati, and L. D. Iasemidis, “Predictability and resetting in a case of convulsive status epilepticus,” Front. Neurol., vol. 9, no. MAR, pp. 1–8, 2018.  
       

  7. Vikas Mishra, Bharat K. Karumuri, Nicole M. Gautier, Rui Liu, Timothy N. Hutson, Stephanie L. Vanhoof-Villalba, Ioannis Vlachos, Leonidas Iasemidis & Edward Glasscock, ”Scn2a deletion improves survival and brain-heart dynamics in the Kcna1-null mouse model of sudden unexpected death in epilepsy (SUDEP)”, Human Molecular Genetics, vol. 26, No. 11, pp. 2091–2103, 2017. 
     

  8. Cao Xiao,  Shouyi Wang , Leon Iasemidis, Stephen Wong and  Wanpracha ArtChaovalitwongse , “An Adaptive Pattern Learning Framework to Personalize Online Seizure Prediction”, IEEE Transactions on Big Data, DOI:10.1109/TBDATA.2017.2675982, March, 2017.
     

  9. L. B. Good, S. Sabesan, S. T. Marsh, K. Tsakalis, D. M. Treiman & L.D. Iasemidis,"Nonlinear Dynamics of Seizure Prediction in a Rodent Model of Epilepsy," Nonlinear Dynamics, Psychology, and Life Sciences, vol. 14, No. 5, pp. 411-434, 2010.L. D. Iasemidis, “Seizure Prediction and its Applications,” Neurosurg. Clin. N. Am., vol.22, pp. 489– 506, 2011.
     

  10. L. D. Iasemidis et al., “A new look into epilepsy as a dynamical disorder: seizureprediction, resetting and control,” Encyclopedia of Basic Epilepsy Research, vol. 3, pp.1295–1302, 2009.
     

  11. J.C. Sackellares, D-S Shiau, J.C. Principe, M.C.K. Young, L.K. Dance, W.Suharitdamrong, W. Chaovalitwongse, P.M. Pardalos & L.D. Iasemidis, “Predictability analysis for an automated seizure prediction algorithm”, J. Clinical Neurophysiology, vol.23, pp. 509-520, 2006.
     

  12. L.D. Iasemidis, D-S Shiau, P.M. Pardalos, W.Chaovalitwongse, K. Narayanan, A.Prasad & K. Tsakalis, P. Carney & J.C. Sackellares, “Long-term prospective on-line real-time seizure prediction”, J. Clin. Neurophysiol., vol. 116, pp. 532-544, 2005.
     

  13. W. Chaovalitwongse, P. M. Pardalos, L. D. Iasemidis, D.-S. Shiau, and J. C.Sackellares, “Dynamical approaches and multi-quadratic integer programming for seizure prediction,” J. Optimization Methods and Software, vol. 20, pp. 383–394, 2005.
     

  14. P.M. Pardalos, W. Chaovalitwongse, L.D. Iasemidis, J.C. Sackellares, D.S. Shiau, P.R.Carney, O. A. Prokopyev and V. A. Yatsenko, “Seizure warning algorithm based on optimization and nonlinear dynamics”, J. Math. Programming, vol. 101, pp. 365-385,2004.
     

  15. L.D. Iasemidis, P.M. Pardalos, D.S. Shiau, W. Chaowolitwongse, K. Narayanan, S.Kumar, P.R. Carney and J.C. Sackellares, “Prediction of human epileptic seizures based on optimization and phase changes of brain electrical activity”, J. Optimization Methods and Software, vol. 18, pp. 81-104, 2003(c).
     

  16. L.D. Iasemidis, D.S. Shiau, W. Chaovalitwongse, J.C. Sackellares, P.M. Pardalos, J.C.Principe, P.R. Carney, A. Prasad, B. Veeramani and K. Tsakalis, “Adaptive epileptic seizure prediction system”, IEEE Transactions on Biomedical Engineering, vol. 50 (5),pp. 616-627, 2003(b).
     

  17. L.D. Iasemidis, "Epileptic seizure prediction and control", IEEE Transactions on Biomedical Engineering, vol. 50 (5), pp. 549-558, 2003 (a).
     

  18. L.D. Iasemidis, P. Pardalos, J.C. Sackellares and D.S. Shiau, “Quadratic binary programming and dynamical system approach to determine the predictability of epileptic seizures”, J. Combinatorial Optimization, 5:9-26, 2001.
     

  19. JC Sackellares, LD Iasemidis, PM Pardalos, W Chaovalitwongse, DS Shiau, SN Roper,RL Gilmore, PR Carney, JC Principe, ”Performance characteristics of an automated seizure warning algorithm utilizing dynamical measures of the EEG signal and global optimization techniques”, Epilepsia, vol. 47, no. S7, pp. 40, 2001.
     

  20. L.D. Iasemidis, J.C. Principe and J.C. Sackellares, “Measurement and quantification of spatio temporal dynamics of human epileptic seizures”, In: Nonlinear biomedical signal processing, ed. M. Akay, IEEE Press, vol. II, pp. 294-318, 2000.
     

  21. J.C. Sackellares, L.D. Iasemidis, R.L. Gilmore and S.N. Roper, “Epilepsy – when chaos fails” In: Chaos in the brain?, eds. K. Lehnertz, J. Arnhold, P. Grassberger and C.E. Elger,World Scientific, Singapore, pp. 112-133, 2000.
     

  22. L.D. Iasemidis, J.C. Principe, J.M. Czaplewski, R.L. Gilmore, S.N. Roper and J.C.Sackellares, "Spatiotemporal transition to epileptic seizures: a nonlinear dynamicalanalysis of scalp and intracranial EEG recordings", In: Spatiotemporal Models inBiological and Artificial Systems, eds. Fernando Lopez Silva, Jose C. Principe and Louis B. Almeida, the series in Frontiers in Artificial Intelligence and Applications, vol. 37, IOSPress, Amsterdam, pp. 81-88, 1997.
     

  23. L.D. Iasemidis and J.C. Sackellares, "Chaos theory and epilepsy", Neuroscientist, 2:118-126, 1996.
     

  24. L.D. Iasemidis and J.C. Sackellares, "The evolution with time of the spatial distribution of the largest Lyapunov exponent on the human epileptic cortex", In: Measuring chaos in the human brain, eds. D.W. Duke & W.S. Pritchard, World Scientific, Singapore, pp. 49-82, 1991.
     

  25. L.D. Iasemidis, H.P. Zaveri, J.C. Sackellares and W.J. Williams, "Linear and nonlinear modeling of ECoG in temporal lobe epilepsy", 25th Annual Rocky Mountain Bioengineering Symposium, 24: 187-193, 1988. (Biomed. Sci. Instrum., vol. 24, 187-193, 1988)

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