Closed-Loop Characterization of Neuronal Activation Using Electrical Stimulation and Optical Imaging
| Autor: | Stephen P. DeWeerth, Steve M. Potter, Gareth S. Guvanasen, Martha A. Grover, Michelle L. Kuykendal |
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| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
0301 basic medicine
activation curve optical recording Bioengineering Image processing Parameter space Stimulus (physiology) lcsh:Chemical technology micro-electrode array (MEA) lcsh:Chemistry 03 medical and health sciences 0302 clinical medicine extracellular electrical stimulation closed-loop strength-duration dissociated culture Chemical Engineering (miscellaneous) Premovement neuronal activity Waveform lcsh:TP1-1185 Physics Process Chemistry and Technology Multielectrode array 030104 developmental biology lcsh:QD1-999 Optical recording 030217 neurology & neurosurgery Pulse-width modulation Biomedical engineering |
| Zdroj: | Processes; Volume 5; Issue 2; Pages: 30 Processes, Vol 5, Iss 2, p 30 (2017) |
| ISSN: | 2227-9717 |
| DOI: | 10.3390/pr5020030 |
| Popis: | We have developed a closed-loop, high-throughput system that applies electrical stimulation and optical recording to facilitate the rapid characterization of extracellular, stimulus-evoked neuronal activity. In our system, a microelectrode array delivers current pulses to a dissociated neuronal culture treated with a calcium-sensitive fluorescent dye; automated real-time image processing of high-speed digital video identifies the neuronal response; and an optimized search routine alters the applied stimulus to achieve a targeted response. Action potentials are detected by measuring the post-stimulus, calcium-sensitive fluorescence at the neuronal somata. The system controller performs directed searches within the strength–duration (SD) stimulus-parameter space to build probabilistic neuronal activation curves. This closed-loop system reduces the number of stimuli needed to estimate the activation curves when compared to the more commonly used open-loop approach. This reduction allows the closed-loop system to probe the stimulus regions of interest in the multi-parameter waveform space with increased resolution. A sigmoid model was fit to the stimulus-evoked activation data in both current (strength) and pulse width (duration) parameter slices through the waveform space. The two-dimensional analysis results in a set of probability isoclines corresponding to each neuron–electrode pair. An SD threshold model was then fit to the isocline data. We demonstrate that a closed-loop methodology applied to our imaging and micro-stimulation system enables the study of neuronal excitation across a large parameter space. |
| Databáze: | OpenAIRE |
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