Publications
Selected publications
2023
C. Kang, D. Novak, X. Yao, J. Xie and Y. Hu, "Classifying and Scoring Major Depressive Disorders by Residual Neural Networks on Specific Frequencies and Brain Regions," in IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 31, pp. 2964-2973, 2023, doi: 10.1109/TNSRE.2023.3293051.
Torrecuso R, Mueller K, Holiga Š, Sieger T, Vymazal J, Ružička F, Roth J, Ružička E, Schroeter ML, Jech R, Möller HE. Improving fMRI in Parkinson's disease by accounting for brain region-specific activity patterns. Neuroimage Clin. 2023;38:103396. doi: 10.1016/j.nicl.2023.103396.
2022
Slovák M, Anýž J, Erlebach J, Sieger T, Forejtová Z, Fabián V, Rošíková T, Nováková L, Růžička E, Edwards MJ, Serranová T. Emotional arousal in patients with functional movement disorders: A pupillometry study. J Psychosom Res. 2022 Nov;162:111043. doi: 10.1016/j.jpsychores.2022.111043.
Schneider J, Bakštein E, Kolenič M, Vostatek P, Correll CU, Novák D, Španiel F. Motor activity patterns can distinguish between interepisode bipolar disorder patients and healthy controls. CNS Spectr. 2022 Feb;27(1):82-92, doi: 10.1017/S1092852920001777.
Jakub Schneider, Eva Fárková & Eduard Bakštein (2022) Human chronotype: Comparison of questionnaires and wrist-worn actigraphy, Chronobiology International, 39:2, 205-220, DOI: 10.1080/07420528.2021.1992418
2021
Anýž J, Bakštein E, Dally A, Kolenič M, Hlinka J, Hartmannová T, Urbanová K, Correll CU, Novák D, Španiel F, Validity of the Aktibipo Self-rating Questionnaire for the Digital Self-assessment of Mood and Relapse Detection in Patients With Bipolar Disorder: Instrument Validation Study, JMIR Ment Health 2021;8(8):e26348, doi: 10.2196/26348
2020
Kratochvíl M, Bednárek D, Sieger T, Fišer K, Vondrášek J. ShinySOM: graphical SOM-based analysis of single-cell cytometry data. Bioinformatics. 2020 May 1;36(10):3288-3289. doi: 10.1093/bioinformatics/btaa091
Cuesta-Frau D, Schneider J, Bakštein E, Vostatek P, Spaniel F, Novák D. Classification of Actigraphy Records from Bipolar Disorder Patients Using Slope Entropy: A Feasibility Study. Entropy. 2020; 22(11):1243. https://doi.org/10.3390/e22111243
Varga, I., Bakstein, E., Gilmore, G., Novak, D. (2020). Image-Based Subthalamic Nucleus Segmentation for Deep Brain Surgery with Electrophysiology Aided Refinement. In: Syeda-Mahmood, T., et al. Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures. CLIP ML-CDS 2020 2020. Lecture Notes in Computer Science(), vol 12445. Springer, Cham. https://doi.org/10.1007/978-3-030-60946-7_4
2019
Serranová T, Sieger T, Růžička F, Bakštein E, Dušek P, Vostatek P, Novák D, Růžička E, Urgošík D, Jech R. Topography of emotional valence and arousal within the motor part of the subthalamic nucleus in Parkinson's disease. Sci Rep. 2019 Dec 27;9(1):19924. DOI: 10.1038/s41598-019-56260-x.
Klempíř, Ondřej, Krupička, Radim, Bakštein, Eduard and Jech, Robert. "Identification of Microrecording Artifacts with Wavelet Analysis and Convolutional Neural Network: An Image Recognition Approach" Measurement Science Review, vol.19, no.5, 2019, pp.222-231. https://doi.org/10.2478/msr-2019-0029
2018
Bakštein E., Sieger T., Růžička F., Novák D., Jech R. (2018) Fusion of Microelectrode Neuronal Recordings and MRI Landmarks for Automatic Atlas Fitting in Deep Brain Stimulation Surgery. In: Stoyanov D. et al. (eds) OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, and Skin Image Analysis. CARE 2018, CLIP 2018, OR 2.0 2018, ISIC 2018. Lecture Notes in Computer Science, vol 11041. Springer, Cham, [PDF preprint]
Bakštein, E., Sieger, T., Novák, D., Růžička, F., & Jech, R. (2018). Automated Atlas Fitting for Deep Brain Stimulation Surgery Based on Microelectrode Neuronal Recordings. In Proceedings of the World Congress on Medical Physics and Biomedical Engineering 2018 (pp. 105–111). [PDF preprint]
Filip Spaniel, Eduard Bakstein, Jiri Anyz, Jaroslav Hlinka, Tomas Sieger, Jan Hrdlicka, Natálie Görnerová, Cyril Höschl, Relapse in schizophrenia: Definitively not a bolt from the blue, Neuroscience Letters, Volume 669, 2018
2017
Bakštein, E., Sieger, T., Wild, J., Novák, D., Schneider, J., Vostatek, P., Urgošík, D., Jech, R. (2017). Methods for automatic detection of artifacts in microelectrode recordings. In: Journal of Neuroscience Methods, 290, 39–51. [PDF, supplementary: PDF, matlab codes, data (18MB)]
Sieger T, Hurley CB, Fišer K, Beleites C. Interactive Dendrograms: The R Packages idendro and idendr0. Journal of Statistical Software 76(10), doi: 10.18637/jss.v076.i10.
2016
Bakštein, E.; Sieger, T.; Novák, D.; Jech, R.
Probabilistic model of neuronal background activity in deep brain stimulation trajectories
In: Information Technology in Bio- and Medical Informatics. Basel: Springer, 2016, pp. 97-111. LNCS 9832
2015
Sieger T., Serranová T., Růžička F., Vostatek P., Wild J., Štastná D., Bonnet C., Novák D., Růžička E., Urgošík D., Jech R. Distinct populations of neurons respond to emotional valence and arousal in the human subthalamic nucleus, Proceedings of the National Academy of Sciences of the United States of America, 2015 112 (10) 3116-3121; published ahead of print February 23, 2015, doi:10.1073/pnas.1410709112. PDF
Carmen, C. - Isasi, P. - Warwick, K. - Ruiz, W. - Aziz, T. - Stein, J. - Bakstein, E.: Resting tremor classification and detection in Parkinson's disease patients. Biomedical Signal Processing and Control. 2015, vol. 16, p. 88-97. ISSN 1746-8094.
2014
J.Macías; A-Duque; C. Tobón; V. Kremen; D. Novak; J. Saiz; T. Oesterlein; C. Schmitt; A.Luik; J. Bustamante , Dynamic approximate entropy electroanatomic maps detect rotors in a simulated atrial fibrillation model. PLOS One, 9(12), 2014
Bonnet C, Rusz J, Megrelishvili M, Sieger T, Matoušková O, Okujava M, Brožová H, Nikolai T, Hanuška J, Kapianidze M, Mikeladze N, Botchorishvili N, Khatiashvili I, Janelidze M, Serranová T, Fiala O, Roth J, Bergquist J, Jech R, Rivaud-Péchoux S, Gaymard B, and Růžička E. Eye movements in ephedrone-induced parkinsonism. PLoS One. 2014 Aug 12;9(8):e104784. doi: 10.1371/journal.pone.0104784. PDF
2013
Sieger T., Bonnet C., Serranová T., Wild J., Novák D., Růžička F., Urgošík D., Růžička E., Gaymard B., Jech R. Basal ganglia neuronal activity during scanning eye movements in Parkinson’s disease. PLoS ONE, 8(11):e78581, 2013. PDF
P. Vostatek, D. Novak, T. Rychnovský, S. Rychnovská, Diaphragm Postural Function Analysis Using Magnetic Resonance Imaging, Plos One, 2013
Serranová T., Sieger T., Dušek P., Růžička F., Urgošík D., Růžička E., Valls-Solé J., Jech R. Sex, food and threat: startling changes after subthalamic stimulation in Parkinson's disease. Brain Stimul, 6(5):740–745, Sep 2013.
2012
J.Wild, Z.Prekopcsak, T.Sieger, D.Novak, ,R.Jech, Performance comparison of spike sorting algorithms for single-channel recordings, Journal of Neuroscience Methods, 203(2), 2012
Fišer K., Sieger T., Schumich A., Wood B., Irving J., Mejstříková E., Dworzak M. N. Detection and monitoring of normal and leukemic cell populations with hierarchical clustering of flow cytometry data. Cytometry A, 81(1):25–34, Jan 2012.
D. Novak, F.Albert, D.Cuesta, 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Discrimination of Deep Brain Nuclei using Regularity Measure, 2012
Bakštein, E. - Burgess, J. - Warwick, K. - Ruiz, V. - Aziz, T. - et al.: Parkinsonian Tremor Identification with Multiple Local Field Potential Feature Classification. Journal of Neuroscience Methods. 2012, vol. 2, no. 209, p. 320-330. ISSN 0165-0270.
2011 and earlier
Serranová T., Jech R., Dušek P., Sieger T., Růžička F., Urgošík D., Růžička E. Subthalamic nucleus stimulation affects incentive salience attribution in Parkinson’s disease. Mov. Disord., 26(12):2260–2266, Oct 2011.
D. Novak, J. Wild, T.Sieger and R.Jech, Identifying Number of Neurons in Extracellular Recording, 4th International IEEE EMBS Conference on Neural Engineering,Antalya, Turkey, 2009
Spaniel F, Vohlídka P, Hrdlicka J, Kožený J, Novák T, Motlová L, Cermák J, Bednarík J, Novák D, Höschl C.,ITAREPS: Information Technology Aided Relapse Prevention Programme in Schizophrenia, Schizophrenia Research, 98(1-3),2008
Bakštein, E. - Burgess, J. - Warwick, K. - Stavdahl, O. - Aziz, T.: Features for Detection of Parkinson's Disease Tremor from Local Field Potentials of the Subthalamic Nucleus. In Proceedings of 2010, 9th IEEE International Conference on Cybernetic Intelligent Systems. Piscataway: IEEE, 2010, p. 39-44. ISBN 978-1-4244-9023-3.