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   Research

   CV

   Teaching

   Publications

  
Contact


 

 

Domokos Meszéna, MSc.
(Doctoral Candidate)

 

 

Roska Tamás Doctoral School of Science and Technology

Pázmány Péter Catholic University

Faculty of Information Technology and Bionics

 

Institute of Cognitive Neuroscience and Psychology

Research Centre for Natural Sciences

Hungarian Academy of Sciences

 

 

RESEARCH

I.             Cortical modelling, Simultaneous electrophysiology,
Multi-channel electrode developments (Ph.D.)

      

It has long been known, that neurons communicate via bioelectric signals, which are systematic alterations of the membrane potential (both positive and negative directions are allowed). There are numerous ways for studying these bioelectric phenomena. Recently, multi-electrode arrays were developed (from 16 up to thousands of channels) and automatic spike sorting algorithms were implemented to separate hundreds of neurons simultaneously in one experiment. Despite the technological advances, several aspects of extracellular potential generation remain poorly understood.

 

My PhD research addresses several questions related to extracellularly recorded potentials of the underlying neural activity. Here is an abstract of my current research interest:

 

Aims. A novel experimental method is presented for simultaneous recording of extra- and intracellular activity. In spite of the widespread use of multi-channel extracellular electrodes, very limited knowledge is available about the intracellular validation of these signals.

Methods. Whole cell patch clamp recordings were used to detect intracellular single cell activity, in rat hippocampal slices. Simultaneous extracellular signal was detected from the vicinity of the same neuron with a newly developed, multi-channel laminar edge-probe. Electrophysiological measurements were completed with subsequent histological analysis. Dendritic and axonal morphology of the intracellularly recorded and filled cell was revealed by three dimensional reconstruction performed with the aid of the NeuroLucida system.

Results. The presented method allows the investigation of single cell contribution on the extracellularly recorded signals. Furthermore, our experimental setup let us determine the exact Euclidean cell-electrode distances.

Conclusion. The knowledge about the exact spatial location of the cell compartments and the electrode contacts can help to determine the impact of single cell activity on extracellular recordings. The simultaneous, multimodal signals recorded with our system can yield additional information for various model-based calculations of neuronal dynamics.

 

Scientific Advisor: István Ulbert, MD, D.Sc. (Head of the Group, Institute of Cognitive Neuroscience and Psychology, Research Center for Natural Sciences, Hungarian Academy of Sciences)

Keywords: Extracellular Recordings, Multi-channel electrode development, LFP, Patch-Clamp, Two-photon microscopy, Spike Triggered Average, Current sources and sinks, Neurolucida, 3D morphology reconstruction, MATLAB, etc.

 

 

 

 

II.           Variability of single spike trains, inter-spike interval dynamics (B.Sc.)

 

        The discharge of cortical neurons is based on the neural integration, in which the output is converted from hundreds or thousands inputs, simultaneously. When the somatic membrane potential reaches a certain threshold, the neuron generates an action potential (spike) or a train of them. However, the spike timings can be very variable in time depending on the actual, internal dynamics of the input patterns.

 

I have investigated the extracellular activity in vivo, in alert, behaving primates’ (Macaca mulatta) recordings. These measurements contain two types of signals; single unit activity and local field potential are parallel recorded at the same time. The spike train patterns can be analysed by several statistical methods. My goal was to determine the length and distribution of the inter-spike intervals (ISIs) on each discharge trains then to estimate the extreme values to find the longest and shortest ISIs, which means the periods, when the neuron least or most active in a certain time window.

 

In addition, I also looked into the LFP activity and correlated the points with the extremums of ISIs. My hypothesis was that there is a relationship between single unit activities and the state probabilities generated by local field potentials. The results showed that the selected extreme values are in relevant contact with each other. The ISIs with minimal and maximal length appear on distinct LFP phases, alternatingly. This observation is might be contradictory with the general hypothesis when we consider the single neurons discharges as random processes (or Poisson processes).

 

Finally I executed the frequency analysis of LFP signals to observe, whether or not any spectral components contain the ISI extreme values. These works confirmed that the single unit activity and local field potential are not totally independent and Poissonian description of the random discharges might be incorrect (or at least inaccurate) for getting realistic information of the neural communication.

 

Supervisor: László Négyessy, Ph.D.

The B.Sc. thesis can be found here (in Hungarian)

Keywords: Spike Trains, Variability, Poisson distribution, Probability density functions, Power-law, Extreme Value Theory, LFP, MATLAB, etc.

 

 

III.         Model-based analysis and parameter estimation methods
for physiological control systems (M.Sc.)

 

        Quantitative dynamical mathematical models are certainly useful in the thorough understanding and possible manipulation (control) of complex biological processes. Despite the improving quality of biological measurements, the model-based parameter identification step still remains a mathematical and computational problem, since in many cases, no unique solution exists to the specific parameters. Therefore, identifiability should be an important prelude of the parameter estimation.

In other words, if the model is not uniquely identifiable, then there are several parameter vectors that correspond to exactly the same input-output behaviour; so the numerical approaches will not be able to find unique, reliable values for them. In those situations, the ways to overcome this problem will be to reformulate the model (for instance reducing the number of states and parameters) or to fix some parameter values (for instance those which can be determined experimentally in a reliable way).

In our work we investigate a model of human Blood Glucose Control System (BGCS) focusing on the structural identifiability and parameter sensitivity. Our results demonstrate that in the case of structural identifiability, the four considered linear parameters are globally identifiable, which is an interesting phenomenon in simulations of biological system and an advantageous property from the point of view of parameter estimation. For the three nonlinearly depending parameters, locally identifiability is guaranteed at least.

 

In addition, we execute an extensive time-dependent sensitivity analysis with a direct differential method. We have separated the estimations of the parameters based on their sensitivities. We find that the time-scale on which different parameters affect the output naturally divides them into three groups: parameters with transient, middle-range and long-term impact.

Based on our findings we divide the parameters into these subsets and estimate them separately while considering the values of other parameters fixed. This refined estimation technique can improve model fitting very well. Our model-based methods are applicable to examine real experiments and to design artificial control for the accurate tracking of insulin level.

Scientific Advisor: Gábor Szederkényi, D.Sc.

My Master Thesis can be found here, which is related to this topic. (Supplementary files are here.)

 

Keywords: Nonlinear Models, Structural Identifiability, Sensitivity Analysis, Optimization, Parameter Estimation, Model Fitting, Optimal Experimental Design, Blood Glucose Control System, Diabetes, MATLAB, etc.

 

 

TEACHING EXPERIENCE

Teaching assistant and laboratory instructor:

2017 Discrete Mathematics                      - Practice with exam (BSc, 1st semester)

2016 AFM and STM Microscopy LAB        - Hands-on Lab (BSc, 7th semester)

2015 MATLAB Programming                - Computer Lab with exam (BSc, 3rd semester)

2014 Functional Neurobiology                 - Lecture consultations (BSc, 6th semester)

       Neural Interfaces and Prostheses - Lecture consultations (MSc, 1st semester)

 

2013 Basics of Neurobiology                    - Practice with exam (BSc, 5th semester)

        Electrophysiology                            - Lecture consultations (BSc, 6th semester)

 

 

PUBLICATIONS

Works in Progress

 

D. Meszéna*, D Cserpán, L. Wittner, K. Tóth, I. Ulbert and Z. Somogyvári. Spatio-temporal membrane potential and resistive current reconstruction from parallel multi-electrode array and intracellular measurements.

 

R. Fiáth, D. Meszéna, M. Boda and I. Ulbert. Impact of the recording site location on the recording performance of silicon probes in acute experiments.

 

K. Tóth, E. Z. Tóth, L. Wittner, R. Fiáth, D. Meszéna, I. Pál, E. L. Győri, D. Pinke, Z. Bereczki, G. Orbán, A. Pongrácz, I. Ulbert and G. Márton. Biocompatibility of the SU-8 in the central nervous system.

 

 

 

Journal Publications

2019            

G. Orbán, D. Meszéna, K. R. Tasnády, B. Rózsa, I. Ulbert and G. Márton. Method for spike detection from microelectrode array recordings contaminated by artifacts of simultaneous two-photon imaging. PLOS One, 2019. (IF: 2.78, Q1) (Accepted, in press)

 

D. Meszéna*, B. P Kerekes, I. Pál, G. Orbán, R. Fiáth, T. Holzhammer, P. Ruther, I. Ulbert and G. Márton. A silicon-based spiky probe providing improved cell accessibility for in vitro brain slice recordings. SENSORS & ACTUATORS B – Chem, 126649, 2019. (IF: 6.39, Q1/D1)
DOI: 10.1016/j.snb.2019.126649.

 

A. Zátonyi, G. Orbán, R. Modi, G. Márton, D. Meszéna, I. Ulbert, A. Pongrácz, M. Ecker, W. E. Voit, A. Joshi-Imre, and Z. Fekete, “A softening laminar electrode for recording single unit activity from the rat hippocampus,” SCIENTIFIC REPORTS, vol. 9, no. 1, p. 2321, 2019. (IF: 4.12, Q1/D1) DOI: 10.1038/s41598-019-39835-6

2018            

G. Dimitriadis, J. P. Neto, A. Aarts, […] G. Marton, D. Meszéna, S. Mitra, […] B. Raducanu, P. Ruther, T. Schroeder, W. Singer, P. Tiesinga, I. Ulbert, S. Wang, M. Welkenhuysen, and A. R Kampff. Why not record from every channel with a CMOS scanning probe? bioRxiv (Preprint)
DOI: 10.1101/275818

2017            

D. Cserpán, D. Meszéna, L. Wittner, K. Tóth, I. Ulbert, Z. Somogyvári and D. Wójcik. Revealing the Distribution of Transmembrane Currents along the Dendritic Tree of a Neuron with Known Morphology from Extracellular Recordings. eLIFE; 6:e29384, 2017. (IF: 7.73, Q1/D1)
DOI:
10.7554/eLife.29384

2013

E. Lakatos, D. Meszéna and G. Szederkényi. Identifiability analysis and improved parameter estimation of a human blood glucose control system model. LECTURE NOTES IN COMPUTER SCIENCE, A. Gupta and T.A. Henzinger (Eds.): LNBI 8130 Springer, pp. 248-249, 2013.
(IF: 1.12, Q2) DOI: 10.1007/978-3-642-40708-6

 

 

 

Patents

2017            

I. Ulbert, G. Márton, D. Meszéna, B.P. Kerekes, G. Orbán, K.R. Tasnády, D. Pinke.  Design of an ionic conductance-based multielectrode system for eliminating photoelectric artefacts. Hungarian Patent (pending), Registration number: 45B01FEF1C, File number: P1700527, Date: 15th December 2017.

 

 

 

Talks and Posters

2019            

Z. Somogyvári, D. Meszéna, D. Cserpán, L. Wittner and I. Ulbert. Spatio-temporal membrane potential and resistive current reconstruction from parallel multielectrode array and intracellular measurements in single neurons. 10th IBRO World Congress of Neuroscience, Daegu, Korea, 2019. (Accepted poster)

G. Orbán, D. Meszéna, K. R. Tasnády, I. Ulbert and G. Márton. Towards simultaneous microelectrode array recordings and two-photon microscopy. XVI Meeting of the Portuguese Society for Neuroscience, Lisbon, Portugal, 2019. (Poster)

R. Fiáth, D. Meszéna and I. Ulbert. Impact of the recording site location on the recording performance of silicon probes in acute experiments. FENS Regional Meeting, Belgrade, Serbia, 2019. (Poster)

E. Z. Tóth, D. Meszéna, A Dublecz, D.Pálfi, K. Tóth, B. Rózsa, L. Erőss, A. Bagó, D. Fabó, I. Ulbert and L. Wittner. Back-propagating action potentials in human neocortical pyramidal cells and interneurons: A preliminary study. Gordon Research Conference:  Dendrites, Ventura, CA, US, 2019. (Poster)

2018            

D. Meszéna*, I. Pál, B. P. Kerekes, G. Marton, K. Tóth, L. Wittner, Z. Somogyvári and I Ulbert. Simultaneous intra- and linear extracellular recordings with corresponding morphology: towards a ground-truth data for multichannel electrodes. SfN Neuroscience 2018, San Diego, CA, US 2018. (Poster)

K. Tóth, E. Z. Tóth, L. Wittner, R. Fiáth, D. Meszéna, I. Pál, E. L. Győri, D. Pinke, Z. Bereczki, G. Orbán, A. Pongrácz, I. Ulbert and G. Márton. Biocompatibility of the SU-8 in the central nervous system. SfN Neuroscience 2018, San Diego, CA, US 2018. (Poster)

D. Meszéna*, I. Pál, B. P. Kerekes, G. Marton, K. Tóth, L. Wittner, Z. Somogyvári and I Ulbert. Targeted and simultaneous investigation of intra- and extracellular neural signals and their relationship. 11th FENS Forum of Neuroscience, Berlin, Germany, 2018. (Poster)

G. Orbán, T. Marek, D. Meszéna, B. P. Kerekes, K. R. Tasnády, I. Ulbert, G. Mészáros, Zs. Keresztes and G. Márton. Fluorescent conductive polymer coating on implanted microelectrodes for visualization under two-photon microscopes. 11th FENS Forum of Neuroscience, Berlin, Germany, 2018. (Poster)

D. Meszéna*, B. P. Kerekes, I. Pál, T. Holzhammer, P. Ruther, I. Ulbert and G. Márton. A novel, silicon-based spiky probe providing improved cell accessibility for in vitro brain slice recordings. Gordon Research Conference: Neuroelectronic Interfaces, Galveston, Texas, US, 2018. (Poster)

2017            

D. Meszéna*, I. Pál, B. P. Kerekes, G. Márton, Z. Somogyvári and I. Ulbert. Towards a better understanding of intra- and extracellular neural signals and their relationships. FENS Regional Meeting, Pécs, Hungary, 2017. (Poster)

B. P. Kerekes, I.  Pál, KT. Hofer, K. Tóth, D. Meszéna, V. Matusz, D. Zsíros, D. Dávid, FA Kader and I. Ulbert. A microsurgical method to modulate the spontaneous population activity and interictal-like activity in rat brain hippocampus slices. FENS Regional Meeting, Pécs, Hungary, 2017. (Poster)

K. Tóth, L. Wittner, R. Fiáth, D. Meszéna, I. Pál, E. L. Győri, D. Pinke, Z. Bereczki, G. Orbán, A. Pongrácz, I. Ulbert and G. Márton. Biocompatibility of the SU-8 in the central nervous system. FENS Regional Meeting, Pécs, Hungary, 2017. (Poster)

D. Cserpán, D. Meszéna, L. Wittner, K. Tóth, I. Ulbert, Z. Somogyvári and D. Wójcik. Revealing the Distribution of Transmembrane Currents along the Dendritic Tree of a Neuron with Known Morphology from Extracellular Recordings. 2nd Nencki Symposium, Warsaw, Poland, 2017. (Poster)

2016            

D. Meszéna*, I. Pál, B. P. Kerekes, G. Márton, Z. Somogyvári and I. Ulbert. Integrative experimental design for simultaneous electrophysiology and two-photon calcium imaging in the rat hippocampus, in vitro, 10th FENS Forum of Neuroscience, Copenhagen, Denmark, 2016. (Poster)

I Pál, KT. Hofer, B. P. Kerekes, K. Tóth, B. Rózsa, D. Meszéna and I. Ulbert. Modulation of interictal-like and spontaneous population activity by microsurgical intervention in rat brain slices, 10th FENS Forum of Neuroscience, Copenhagen, Denmark, 2016. (Poster)

D. Meszéna* and I. Ulbert. Simultaneously recorded multimodal signals in the hippocampal CA1 region, in vitro. EMBO Practical Course in Advanced Optical Microscopy, Marine Biological Association, Plymouth, United Kingdom, 2016. (Poster)

D. Meszéna*, I. Pál, B. P. Kerekes, G. Márton, Z. Somogyvári and I. Ulbert. Simultaneously recorded multimodal signals in the hippocampal CA1 region, in vitro, In.: Proceedings of the IBRO Workshop, Budapest, Hungary, 2016. (Poster)

2015            

D. Meszéna* and I. Ulbert. Parameter estimation and validation of the single-cell CSD method using simultaneous electrode recordings and two-photon microscopy, 3rd Baltic-Nordic Summer School on Neuroinformatics, Tartu, Estonia, 2015. (Poster)

2014            

D. Meszéna*, E. Lakatos and G. Szederkényi. Sensitivity analysis and parameter estimation of a human blood glucose regulatory system model. In.: Proceedings of the 11th International Workshop on Computational Systems Biology, TISCP 64, pp. 28, Lisbon, Portugal, 2014. (Talk)

2012            

L. Négyessy, J. Minich, D. Meszéna, A. Buzás, B. Jákli, M. Bányai, E. Procyk, P. Barone and F. Bazsó. From Neuronal Communication to the Flow of Information in the Cerebral Cortex. In.: Proceedings of the 10th DIGITAL SPEECH AND IMAGE PROCESSING, Kovacica, Serbia, 2012. (Talk)

 

 

 

CONTACT

Doctoral Candidate
Roska
Tamás Doctoral School of Science and Technology

Pázmány Péter Catholic University

Faculty of Information Technology and Bionics

H-1083 Budapest, Práter utca 50/a.

Phone: +36 1 886 47 00

Email: meszena.domokos@itk.ppke.hu

http://www.itk.ppke.hu/en


Young Researcher Fellowship

Institute of Cognitive Neuroscience and Psychology

Research Centre for Natural Sciences,

Hungarian Academy of Sciences

H-1117 Budapest, Magyar tudósok körútja 2.

Phone: +36 1 382 6806

Email: meszena.domokos@ttk.mta.hu

http://www.ttk.mta.hu/en

 

 

Other links:

Researchgate

LinkedIn

Google Scholar

ORCID: 0000-0003-4042-2542

Loop profile: 499106

Scopus Author ID: 55894745900

ResearcherID: U-3696-2017

MTMT list of publication (Hungarian Publication Database)

ODT profile (Hungarian Doctoral Council website)

MTA-TTK profile (My Research Institute)
















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