Nuri Ince

Faculty

Nuri Ince

Research Professor

Phone 713-743-4461

Email nfince [at] uh.edu

Dr. Ince received his PhD degree in Electrical and Electronics Engineering from Cukurova University, Turkey in 2005. His PhD thesis was awarded with an international PhD scholarship by National Scientific Research Council of Turkey (TUBITAK) and during this period he worked a visiting scholar at the University of Technology Graz, Austria and at the University of Minnesota. He obtained dual Post-Doc training in the fields of biosignal processing and computational neuroscience at the Brain Sciences Center, VA Medical Center, Minneapolis and Neuroscience Department at the University of Minnesota. Before joining the Department of Biomedical Engineering in 2013, Dr. Ince was a Research Assistant Professor in the Electrical and Computer Engineering Department at the University of Minnesota.

Education

Post-Doc Biosignal Processing and Computational Neuroscience, University of Minnesota, MN, USA

Ph.D. Electrical and Electronics Engineering, Çukurova University, Adana, Turkey

Awards and Honors

International Joint PhD Scholarship from National Scientific Research Council of Turkey (TUBITAK), 2003

Research Interests

My research interests span a variety of basic and translational research in the rapidly growing area of neural engineering and biomedical signal processing. Areas of special interest are clinical neuroengineering, neural signal processing for brain machine interfaces, machine learning for neuromarker discovery and biomedical instrumentation for healthcare and assisted living. My lab will strive for research that contributes not only to algorithm development but to the discovery of new methods for diagnosis and therapy that can be applied in clinical practice as well. In this scheme, my lab work closely with researchers from diverse fields such as cardiology, psychiatry, neuroscience, neurosurgery and neurology.

Selected Publications

Asman P, Prabhu S, Bastos D, Tummala S, Bhavsar S, McHugh TM, Ince NF, “Unsupervised machine learning can delineate central sulcus by using the spatiotemporal characteristic of somatosensory evoked potentials“. Journal of Neural Engineering, Volume 18, Number 4 (2021). doi:10.1088/1741-2552/abf68a.
Ozturk M, Viswanathan A, Sheth SA, Ince NF, et al. “Electroceutically induced subthalamic high-frequency oscillations and evoked compound activity may explain the mechanism of therapeutic stimulation in Parkinson’s disease“. Commun Biol 4, 393 (2021). doi:10.1038/s42003-021-01915-7.
Ozturk M, Telkes I, Jimenez-Shahed J, Viswanathan A, Tarakad A, Kumar S, Sheth SA, Ince NF. “Randomized, Double-Blind Assessment of LFP Versus SUA Guidance in STN-DBS Lead Implantation: A Pilot Study“. Front Neurosci. 2020;14:611. doi: 10.3389/fnins.2020.00611.
Ozturk M, Kaku H, Jimenez-Shahed J, Viswanathan A, Sheth SA, Kumar S, Ince NF. “Subthalamic Single Cell and Oscillatory Neural Dynamics of a Dyskinetic Medicated Patient With Parkinson’s Disease“. Front Neurosci. 2020;14:391. doi=10.3389/fnins.2020.00391.
Jiang T, Pellizzer G, Asman P, Bastos D, Bhavsar S, Tummala S, Prabhu S, Ince NF. “Power Modulations of ECoG Alpha/Beta and Gamma Bands Correlate With Time-Derivative of Force During Hand Grasp“. Front Neurosci. 2020;14:100. https://doi.org/10.3389/fnins.2020.00100.
Ozturk M, Abosch A, Francis D, Wu J, Jimenez-Shahed J, Ince NF. “Distinct subthalamic coupling in the ON state describes motor performance in Parkinson’s disease“. Mov Disord. 2020 Jan;35(1):91-100. doi: 10.1002/mds.27800.
Kaku H., Ozturk M., Viswanathan A., Shahed J., Sheth S., Kumar S., et al. (2019b). “Unsupervised clustering reveals spatially varying single neuronal firing patterns in the subthalamic nucleus of patients with Parkinson’s disease“. Clin. Park Relat. Disord. 3:100032 10.1101/863464. doi: 10.1101/863464.
Telkes I, Viswanathan A, Jimenez-Shahed J, Abosch A, Ozturk M, Gupte A, Jankovic J, Ince NF. “Local field potentials of subthalamic nucleus contain electrophysiological footprints of motor subtypes of Parkinson’s disease“. Proc Natl Acad Sci U S A. 2018 Sep 4;115(36):E8567-E8576. doi: 10.1073/pnas.1810589115.
Jiang T, Liu S, Pellizzer G, Aydoseli A, Karamursel S, Sabanci PA, Sencer A, Gurses C, Ince NF. “Characterization of Hand Clenching in Human Sensorimotor Cortex Using High-, and Ultra-High Frequency Band Modulations of Electrocorticogram“. Front Neurosci. 2018 Feb 27;12:110. doi: 10.3389/fnins.2018.00110.
Liu S, Gurses C, Sha Z, Quach MM, Sencer A, Bebek N, Curry DJ, Prabhu S, Tummala S, Henry TR, Ince NF. “Stereotyped high-frequency oscillations discriminate seizure onset zones and critical functional cortex in focal epilepsy“. Brain. 2018 Mar 1;141(3):713-730. doi: 10.1093/brain/awx374.
Liu S, Quach MM, Curry DJ, Ummat M, Seto E, Ince NF. “High-frequency oscillations detected in ECoG recordings correlate with cavernous malformation and seizure-free outcome in a child with focal epilepsy: A case report“. Epilepsia Open. 2017 Jun;2(2):267-272. doi: 10.1002/epi4.12056.
Jiang T, Jiang T, Wang T, Mei S, Liu Q, Li Y, Wang X, Prabhu S, Sha Z, Ince NF. “Characterization and Decoding the Spatial Patterns of Hand Extension/Flexion using High-Density ECoG“. IEEE Trans Neural Syst Rehabil Eng. 2017 Apr;25(4):370-379. doi: 10.1109/TNSRE.2016.2647255.
Telkes I, Jimenez-Shahed J, Viswanathan A, Abosch A, Ince NF. Prediction of STN-DBS “Electrode Implantation Track in Parkinson’s Disease by Using Local Field Potentials“. Front Neurosci. 2016 May 9;10:198. doi: 10.3389/fnins.2016.00198.
Liu S, Sha Z , ASencer A, Aydoseli A, Bebek N, Abosch A, Henry T, Gurses C, Ince NF, “Exploring the time-frequency content of high frequency oscillations for automated prediction of seizure onset zone in epilepsy”, Journal of Neural Engineering, 2016 Apr;13(2):026026. doi: 10.1088/1741-2560/13/2/026026. Source Code.
Fikri Goksu, Nuri F.Ince, Ahmed H.Tewfik, “Greedy solutions for the construction of sparse spatial and spatio-spectral filters in brain-computer interface applications”, Neurocomputing, Januray 2013.
Ibrahim Onaran, Nuri F. Ince, A. Enis Cetin, “Sparse spatial filter via a novel objective function minimization with smooth L1 regularization”, Biomedical Signal Processing and Control , October 2012.
Aviva Abosch, David Lanctin, Ibrahim Onaran, Lynn Eberly, and Nuri F. Ince, “Long-term Recordings of Local Field Potentials from Implanted Deep Brain Stimulation Electrodes”, Neurosurgery, 2012.
Ibrahim Onaran, Nuri F. Ince , Enis Cetin, “Classification of Multichannel ECoG Related to Individual Finger Movements with Redundant Spatial Projections”, IEEE Engineering in Medicine and Biology Conf. (EMBC'11), Boston USA, Aug. 2011.
Sami Arica, Nuri F. Ince, Abdi Bozkurt, Ahmet Birand, Ahmed H. Tewfik, Prediction of pharmacologically induced baroreflex sensitivity from local time and frequency domain indices of R-R interval and systolic blood pressure signals obtained during deep breathing, Computers in Biology and Medicine Volume 41 Issue 7, July, 2011.
Ince NF, Gupta R, Arica S, Tewfik AH, Ashe J, Pellizzer G. “High accuracy decoding of movement target direction in non-human primates based on common spatial patterns of local field potentials“. PLoS One. 2010 Dec 21;5(12):e14384. doi:10.1371/journal.pone.0014384.
Charidimos Tzagarakis, Nuri F. Ince, Arthur Leuthold, and Giuseppe Pellizzer, "Beta-band activity during motor planning reflects response uncertainty", Journal of Neuroscience, 2010, Vol. 30 (34).
Ince NF, Gupte A, Wichmann T, Ashe J, Henry T, Bebler M, Eberly L, Abosch A. “Selection of optimal programming contacts based on local field potential recordings from subthalamic nucleus in patients with Parkinson’s disease“. Neurosurgery. 2010 Aug;67(2):390-7. doi: 10.1227/01.NEU.0000372091.64824.63.
Nuri F. Ince, Giuseppe Pellizzer, Ahmed H. Tewfik, Katie Nelson, Arthur Leuthold, Kate McClannahan, Massoud Stephane, “Classification of Schizophrenia with Spectro-Temporo-Spatial MEG Patterns in Working Memory”, Clinical Neurophysiology, Elsevier, Volume 120, Issue 6, June 2009, Pages 1123-1134.
Nuri F. Ince, Fikri Goksu, Ahmed Tewfik, “ECoG Based Brain Computer Interface with Subset Selection”, Invited chapter, Communications in Computer and Information Science (CCIS) Book Series Springer, Biomedical Engineering Systems and Technologies,Vol25, 2008.
Ince NF, Arica S, Tewfik A. “Classification of single trial motor imagery EEG recordings with subject adapted non-dyadic arbitrary time-frequency tilings“. J Neural Eng. 2006 Sep;3(3):235-44. doi: 10.1088/1741-2560/3/3/006.