Fikret Emre Kapucu

Fikret Emre Kapucu
Tampere University | UTA · Faculty of Medicine and Health Technology

D.Sc. Tech. (TkT)

About

30
Publications
4,672
Reads
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190
Citations
Additional affiliations
October 2019 - present
Tampere University
Position
  • PostDoc Position
October 2017 - present
Aarhus University
Position
  • PostDoc Position
February 2016 - August 2017
Tampere University
Position
  • PhD Student

Publications

Publications (30)
Article
Full-text available
We present a dataset of microelectrode array (MEA) recordings from human pluripotent stem cell (hPSC)-derived and rat embryonic cortical neurons during their in vitro maturation. The data were prepared to assess extracellularly recorded spontaneous activity and to compare the functional development of these neuronal networks. In addition to recordi...
Article
Human pluripotent stem cell (hPSC)-derived neural cultures have attracted interest for modeling epilepsy and seizure-like activity in vitro. Clinical and experimental evidence have shown that the multifunctional inflammatory cytokine interleukin (IL)-6 plays a significant role in epilepsy. However, the role of IL-6 in neuronal networks remains uncl...
Article
Full-text available
Axonal dysfunction and degeneration are important pathological features of central nervous system (CNS) diseases and traumas, such as Alzheimer's disease, traumatic brain injury, ischemic stroke and spinal cord injury. Engineered microfluidic chips combined with human pluripotent stem cell (hPSC)‐derived neurons provide valuable tools for targeted...
Article
Full-text available
Human pluripotent stem cell (hPSC)-derived neurons provide exciting opportunities for in vitro modeling of neurological diseases and for advancing drug development and neurotoxicological studies. However, generating electrophysiologically mature neuronal networks from hPSCs has been challenging. Here, we report the differentiation of functionally a...
Chapter
This chapter provides an overview of the current stage of human in vitro functional neuronal cultures, their biological application areas, and modalities to analyze their behavior. During the last 10 years, this research area has changed from being practically non-existent to one that is facing high expectations. Here, we present a case study as a...
Conference Paper
Developing neuronal populations are assumed to increase their synaptic interactions and generate synchronized activity, such as bursting, during maturation. These effects may arise from increasing interactions of neuronal populations and increasing simultaneous intra-population activity in developing networks. In this paper, we investigated the neu...
Conference Paper
Full-text available
During maturation, neurons and neuronal ensembles interact and build connections. Changes in the network structure have effects on the overall electrophysiological activity, and consequently on the observable connectivity. In this paper, we assessed effective and functional connectivities during neuronal network development by means of directed con...
Article
Full-text available
Neuronal networks are often characterized by their spiking and bursting statistics. Previously, we introduced an adaptive burst analysis method which enhances the analysis power for neuronal networks with highly varying firing dynamics. The adaptation is based on single channels analyzing each element of a network separately. Such kind of analysis...
Thesis
For the last couple of decades, hand-in-hand progresses in stem-cell technologies and culturing neuronal cells together with advances in microelectrode array (MEA) technology have enabled more efficient biological models. Thus, understanding the neuronal behavior in general or realizing some particular disease model by studying neuronal responses t...
Article
Full-text available
Synchrony and asynchrony are essential aspects of the functioning of interconnected neuronal cells and networks. New information on neuronal synchronization can be expected to aid in understanding these systems. Synchronization provides insight in the functional connectivity and the spatial distribution of the information processing in the networks...
Conference Paper
In this paper, we study neuronal network analysis based on microelectrode measurements. We search for potential relations between time correlated changes in spectral distributions and synchrony for neuronal network activity. Spectral distribution is quantified by spectral entropy as a measure of uniformity/complexity and this measure is calculated...
Conference Paper
In this paper, we introduce a fully objective method to set thresholds (THs) for neuronal action potential spike detection from extracellular field potential signals. Although several more sophisticated methods exist, thresholding is still the most used spike detection method. In general, it is employed by setting a TH as per convention or operator...
Article
Background Neuronal networks are routinely assessed based on extracellular electrophysiological microelectrode array (MEA) measurements by spike sorting, and spike and burst statistics. We propose to jointly analyze sorted spikes and detected bursts, and hypothesize that the obtained spike type compositions of the bursts can provide new information...
Conference Paper
Microelectrode arrays (MEAs) are used to study the electrical activity in brain slices and neuronal cultures. MEA experiments for the analysis of electrical stimulation responses require the tissue or culture to be prone to stimulation. For brain slices, potential stimulation sites may be directly visible in microscope, in which case the determinat...
Conference Paper
In this paper, we propose employing entropy values to quantify action potential bursts in electrophysiological measurements from the brain and neuronal cultures. Conventionally in the electrophysiological signal analysis, bursts are quantified by means of conventional measures such as their durations, and number of spikes in bursts. Here our main a...
Conference Paper
In this paper, we investigate the workings of threshold (TH) based spike detection for neuronal extracellular field potential spikes. Thresholding is the most used spike detection method. In general, it is employed by setting the TH as per convention and without considering either the undetected or spurious spikes. In this paper, we provide insight...
Article
Full-text available
In this paper we propose a firing statistics based neuronal network burst detection algorithm for neuronal networks exhibiting highly variable action potential dynamics. Electrical activity of neuronal networks is generally analyzed by the occurrences of spikes and bursts both in time and space. Commonly accepted analysis tools employ burst detecti...
Conference Paper
Full-text available
In this work, cardiomyocytes were cultured in microelectrode array (MEA) wells and the electrical activity is measured and recorded periodically during cardiomyocyte maturation. Beat-to-Beat (BB) intervals were calculated as well as their means and standard deviations (SD). Beating rate variations were analyzed according to culture medium change an...
Conference Paper
This work analyzes the quadratic phase coupling between EEG rhythms during burst suppression period of propofol anesthesia. The main goal is to specify the phase relation between different EEG rhythms and search for possible systematic behavior. In order to achieve this, the presented work focuses on the detection of quadratic phase coupling (QPC)...

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Projects

Projects (3)
Project
The principal objective of the project is to provide a robust model for screening the critical steps in the aggregation and propagation of misfolded AS, and testing methods to inhibit these processes.
Archived project
We have studied the differentiation and utilization of pluripotent stem cell-derives cardiomyocytes.
Project
In this project funded by Academy of Finland, we develop methods and software to integrating biological cultures . Such biological cultures integrated in small chips (multi-electrode arrays) can classify information sensed from its environment and act as software components of a larger hybrid network.