4.8 Article

High-Throughput PEDOT:PSS/PtNPs-Modified Microelectrode Array for Simultaneous Recording and Stimulation of Hippocampal Neuronal Networks in Gradual Learning Process

Journal

ACS APPLIED MATERIALS & INTERFACES
Volume 14, Issue 13, Pages 15736-15746

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acsami.1c23170

Keywords

MEA; hippocampal neuronal network; PEDOT; PtNPs; synaptic plasticity; electrical stimulation

Funding

  1. National Key Research and Development Program [2017YFA0205902]
  2. National Natural Science Foundation of China [62121003, 61960206012, 62171434, 61971400, 61771452, 61775216, 61975206, 61973292]
  3. Scientific Instrument Developing Project of the Chinese Academy of Sciences [GJJSTD20210004]

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By using a high-performance microelectrode array, the study investigates and activates the learning and memory functions of neurons. Electrical stimulation can change the firing pattern of neurons and improve the correlation and synchrony of the networks.
When it comes to mechanisms of brain functions such as learning and memory mediated by neural networks, existing multichannel electrophysiological detection and regulation technology at the cellular level does not suffice. To address this challenge, a 128-channel microelectrode array (MEA) was fabricated for electrical stimulation (ES) training and electrophysiological recording of the hippocampal neurons in vitro. The PEDOT:PSS/PtNPs-coated microelectrodes dramatically promote the recording and electrical stimulation performance. The MEA exhibited low impedance (10.94 +/- 0.49 kohm), small phase delay (-12.54 +/- 0.51 degrees), high charge storage capacity (14.84 +/- 2.72 mC/cm(2)), and high maximum safe injection charge density (4.37 +/- 0.22 mC/cm(2)), meeting the specific requirements for training neural networks in vitro. A series of ESs at various frequencies was applied to the neuronal cultures in vitro, seeking the optimum training mode that enables the neuron to display the most obvious plasticity, and 1 Hz ES was determined. The network learning process, including three consecutive trainings, affected the original random spontaneous activity. Along with that, the firing pattern gradu ally changed to burst and the correlation and synchrony of the neuronal activity in the network have progressively improved, increasing by 314% and 240%, respectively. The neurons remembered these changes for at least 4 h. Collectively, ES activates the learning and memory functions of neurons, which is manifested in transformations in the discharge pattern and the improvement of network correlation and synchrony. This study offers a high-performance MEA revealing the underlying learning and memory functions of the brain and therefore serves as a useful tool for the development of brain functions in the future.

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