Multi-module recording of neuronal activity and structures using graphene microelectrode arrays in the study of Niemann -Pick disease

Date

Dec 5, 2024

Time

1:00 PM - 3:00 PM

Speaker

Meng Lu

Affiliation

Institute of Advanced Clinical Medicine, Peking University

Series

TUD nanoSeminar

Language

en

Main Topic

Physik

Other Topics

Physik

Host

Arezoo Dianat

Description

Simultaneously recording network activity and ultrastructural changes of the synapse can significantly advance our understanding of the structural basis of neuronal functions. The intricate changes in neuronal activity at millisecond-scale and the minute structural modifications at the synapse that are smaller than the diffraction limit present considerable hurdles for this undertaking. Here, we introduce a multi-module recording system based on graphene microelectrode arrays (G-MEAs), which facilitate high-resolution imaging at different scales and permit electrophysiological recordings with high temporal precision. In conjunction with G-MEAs, we also apply a straightforward machine learning algorithm to streamline the analysis of extensive data gathered from microelectrode array recordings. We illustrate that the integration of G-MEAs, machine learning-based spike analysis, and four-dimensional structured illumination microscopy (4D-SIM) provides a powerful tool for observing the effects of disease progression on hippocampal neurons. Furthermore, treating neurons with an inhibitor of intracellular cholesterol transport to mimic Niemann-Pick disease type C (NPC) results in a significant enlargement of synaptic boutons compared to untreated neurons, ultimately impairing neuronal signaling capabilities.

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Last modified: Dec 5, 2024, 7:36:16 AM