Domokos MeszénaInstitute of Cognitive Neuroscience · Research Centre for Natural Sciences
Domokos Meszéna
PhD
Systems neuroscience and neurotechnology,
Looking for postdoc positions
About
27
Publications
3,489
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83
Citations
Introduction
RESEARCH INTEREST: Electrophysiology, Whole-cell Patch-Clamp, Multi-channel Electrode Design, Development and Testing, Two-photon Laser Scanning Microscopy, In vivo and In vitro Experiments, Human Ex Vivo Slice Recordings, Current Source Density Analysis (CSD), Optimization, Parameter Estimation.
Additional affiliations
September 2017 - present
September 2014 - present
Position
- Fellow
Description
- In vitro and in vivo electrophysiology, Multi-channel electrode development, Two-photon laser scanning microscopy
September 2014 - present
Position
- Research Assistant
Description
- 2017, Discrete Mathematics – Practice, 2016, 2015, AFM and STM Microscopy – Hands-on Lab, 2015, 2014, MATLAB Programming – Computer Lab, 2011-2014, Basics of Neurobiology I-II., 2013, Electrophysiology I-II.
Education
September 2014 - June 2019
Field of study
- Roska Tamás Doctoral School of Sciences and Technology
February 2013 - June 2014
September 2008 - June 2012
Publications
Publications (27)
The meaning behind neural single unit activity has constantly been a challenge, so it will persist in the foreseeable future. As one of the most sourced strategies, detecting neural activity in high-resolution neural sensor recordings and then attributing them to their corresponding source neurons correctly, namely the process of spike sorting, has...
In neuroscience the use of a microelectrode array allows the detection of neuroelectric signals with high temporal resolution in a confined space within the tissue, while two-photon laser scanning microscopy provides high spatial resolution in a wide region of interest. The combination of these two techniques promises better understanding of the op...
Multisite, silicon-based probes are widely used tools to record the electrical activity of neuronal populations. Several physical features of these devices are designed to improve their recording performance. Here, our goal was to investigate whether the position of recording sites on the silicon shank might affect the quality of the recorded neura...
The first representatives of fluorescent boro-β-carbolines were applied for labeling trastuzumab. The antibody fluorophore conjugate was confirmed as a useful tool for labeling and imaging tumour cells in confocal and two-photon microscopy.
Objective: Multisite, silicon-based probes are widely used tools to record the electrical activity of neuronal populations. Several physical features of these devices (e.g. shank thickness, tip geometry) are designed to improve their recording performance. Here, our goal was to investigate whether the position of recording sites on the silicon shan...
The use of SU-8 material in the production of neural sensors has grown recently. Despite its widespread application, a detailed systematic quantitative analysis concerning its biocompatibility in the central nervous system is lacking. In this immunohistochemical study, we quantified the neuronal preservation and the severity of astrogliosis around...
[This corrects the article DOI: 10.1371/journal.pone.0221510.].
Here we show, that based on parallel multichannel extracellular
and single channel intracellular potential recordings, it is possible
the reconstruct the spatio-temporal distribution of membrane
potential with the spatial resolution of the extracellular recordings
in single neurons. Moreover we show, that reconstruction of
membrane potential made p...
The simultaneous utilization of electrophysiological recordings and two-photon imaging allows the observation of neural activity in a high temporal and spatial resolution at the same time. The three dimensional monitoring of morphological features near the microelectrode array makes the observation more precise and complex. In vitro experiments wer...
Aims
In this study, we introduce an edge-type laminar silicon probe suitable for improved cell accessibility during in vitro brain slice recordings. With protruding contact sites, the spiky probe provides high signal yield and quality while approaching cells located deeper in the tissue. Methods. The spiky probe comprises an angled shank carrying 3...
Softening neural implants that change their elastic modulus under physiological conditions are promising candidates to mitigate neuroinflammatory response due to the reduced mechanical mismatch between the artificial interface and the brain tissue. Intracortical neural probes have been used to demonstrate the viability of this material engineering...
It is an uninformative truism to state that the brain operates at multiple spatial and temporal scales, each with each own set of emergent phenomena. More worthy of attention is the point that our current understanding of it cannot clearly indicate which of these phenomenological scales are the significant contributors to the brain’s function and p...
skCSD reconstruction of current source density distribution on the ganglion cell. The video shows the skCSD reconstruction for the retinal ganglion cell model driven with oscillatory current (Section Reconstruction of current distribution on complex morphology) for the whole duration of simulation. Figure 7 shows a snapshot taken at t = 495.25 ms f...
S1 Video
skCSD reconstruction of current source density distribution on the ganglion cell.
The video shows the skCSD reconstruction for the retinal ganglion cell model driven with oscillatory current (Section Reconstruction of current distribution on complex morphology) for the whole duration of simulation. Figure 7 shows a snapshot taken at t = 49...
S2 Video
Spike triggered average of pyramidal cell in vitro.
The video shows the recorded potentials and skCSD reconstruction for a 10 ms time window centered around the spike as described in Section Proof of Concept experiment: Spatial Current Source Distribution of Spike-triggered Averages. The top panel presents the spike triggered averages of t...
Revealing the current source distribution along the neuronal membrane is a key step on the way to understanding neural computations, however, the experimental and theoretical tools to achieve sufficient spatiotemporal resolution for the estimation remain to be established. Here we address this problem using extracellularly recorded potentials with...
Revealing the membrane current source distribution of neurons is a key step on the way to understanding neural computations, however, the experimental and theoretical tools to achieve sufficient spatiotemporal resolution for the estimation remain to be established. Here we address this problem using extracellularly recorded potentials with arbitrar...
Quantitative dynamical mathematical models are certainly useful in the thorough understanding and possible manipulation (control) of biological processes. In our work we investigate a model of human blood glucose control for which structural identifiability was previously shown, now focusing on separated estimations of the parameters based on the t...
The aim of this work is to study structural identifiability for a published molecular
level model of human blood glucose control, to obtain a model in the form of
nonlinear ODEs that is later suitable to examine the effect of natural and artificial
feedbacks. The model has 8 state equations and 7 unknown parameters. The
linearly and non-linearly de...
Projects
Projects (2)
We investigated a model of the human blood glucose regulatory system, using parameter inference, sensitivity and identifiability analysis.
We aim to utilize an optical method (two-photon micorscopy) in order to study the cells surrounding an in vivo implanted, functioning MEA in the central nervous system of mice. We would like to describe the contribution of action potentials to the signals measured on an extracellular MEA. We hope that we will better understand how the morphology and relative location of a neuron affects the measurements. By comparing the efficacy of two modalities (optical and electrophysiological) for the construction of BCIs, we might be able to determine key elements that are crucial to improve the accuracy and speed of BCI systems.
