A Novel 3D-Printed Multi-Drive System for Synchronous Electrophysiological Recording in Multiple Brain Regions

Extracellular electrophysiology has been widely applied in neural network studies. Local field potentials and single-unit activities can be recorded with high-density electrodes, which facilitate the decoding of neural codes. However, the chronic multi-regional recording is still a challenging task...

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Main Authors: Jun Ma, Zifang Zhao, Shuang Cui, Feng-Yu Liu, Ming Yi, You Wan
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-12-01
Series:Frontiers in Neuroscience
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fnins.2019.01322/full
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author Jun Ma
Zifang Zhao
Shuang Cui
Feng-Yu Liu
Ming Yi
You Wan
You Wan
You Wan
author_facet Jun Ma
Zifang Zhao
Shuang Cui
Feng-Yu Liu
Ming Yi
You Wan
You Wan
You Wan
author_sort Jun Ma
collection DOAJ
description Extracellular electrophysiology has been widely applied in neural network studies. Local field potentials and single-unit activities can be recorded with high-density electrodes, which facilitate the decoding of neural codes. However, the chronic multi-regional recording is still a challenging task for achieving high placement accuracy and long-term stability. Here, we present a novel electrode design with low-cost 3D-printed parts and custom printed circuits boards. This new design could facilitate precise electrode placement in multiple brain regions simultaneously and reduce the working time for surgical procedures as well. In this paper, the design and fabrication of the 3D printed multi-channel microdrive are explained in detail. We also show the result of high-quality electrophysiological recordings in eight pain-related areas from rats and the electrode placement accuracy. This novel 3D-printed multi-drive system could achieve synchronous electrophysiological recording in multiple brain regions and facilitate future neural network research.
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spelling doaj.art-81fe3dbf41e14d89a1eb96fba42583162022-12-22T01:28:34ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2019-12-011310.3389/fnins.2019.01322462987A Novel 3D-Printed Multi-Drive System for Synchronous Electrophysiological Recording in Multiple Brain RegionsJun Ma0Zifang Zhao1Shuang Cui2Feng-Yu Liu3Ming Yi4You Wan5You Wan6You Wan7Neuroscience Research Institute, Peking University, Beijing, ChinaNeuroscience Research Institute, Peking University, Beijing, ChinaNeuroscience Research Institute, Peking University, Beijing, ChinaNeuroscience Research Institute, Peking University, Beijing, ChinaNeuroscience Research Institute, Peking University, Beijing, ChinaNeuroscience Research Institute, Peking University, Beijing, ChinaDepartment of Neurobiology, School of Basic Medical Sciences, Peking University, Beijing, ChinaKey Laboratory for Neuroscience, Ministry of Education/National Health Commission, Peking University, Beijing, ChinaExtracellular electrophysiology has been widely applied in neural network studies. Local field potentials and single-unit activities can be recorded with high-density electrodes, which facilitate the decoding of neural codes. However, the chronic multi-regional recording is still a challenging task for achieving high placement accuracy and long-term stability. Here, we present a novel electrode design with low-cost 3D-printed parts and custom printed circuits boards. This new design could facilitate precise electrode placement in multiple brain regions simultaneously and reduce the working time for surgical procedures as well. In this paper, the design and fabrication of the 3D printed multi-channel microdrive are explained in detail. We also show the result of high-quality electrophysiological recordings in eight pain-related areas from rats and the electrode placement accuracy. This novel 3D-printed multi-drive system could achieve synchronous electrophysiological recording in multiple brain regions and facilitate future neural network research.https://www.frontiersin.org/article/10.3389/fnins.2019.01322/full3D printingelectrophysiological recordingmultichannel recordingneural networksacute pain
spellingShingle Jun Ma
Zifang Zhao
Shuang Cui
Feng-Yu Liu
Ming Yi
You Wan
You Wan
You Wan
A Novel 3D-Printed Multi-Drive System for Synchronous Electrophysiological Recording in Multiple Brain Regions
Frontiers in Neuroscience
3D printing
electrophysiological recording
multichannel recording
neural networks
acute pain
title A Novel 3D-Printed Multi-Drive System for Synchronous Electrophysiological Recording in Multiple Brain Regions
title_full A Novel 3D-Printed Multi-Drive System for Synchronous Electrophysiological Recording in Multiple Brain Regions
title_fullStr A Novel 3D-Printed Multi-Drive System for Synchronous Electrophysiological Recording in Multiple Brain Regions
title_full_unstemmed A Novel 3D-Printed Multi-Drive System for Synchronous Electrophysiological Recording in Multiple Brain Regions
title_short A Novel 3D-Printed Multi-Drive System for Synchronous Electrophysiological Recording in Multiple Brain Regions
title_sort novel 3d printed multi drive system for synchronous electrophysiological recording in multiple brain regions
topic 3D printing
electrophysiological recording
multichannel recording
neural networks
acute pain
url https://www.frontiersin.org/article/10.3389/fnins.2019.01322/full
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