ArticleFrontiers in neuroscience2019
A Novel 3D-Printed Multi-Drive System for Synchronous Electrophysiological Recording in Multiple Brain Regions.
Article in Frontiers in neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Ventral Hippocampal CA1 Pyramidal Neurons Encode Nociceptive Information.Neuroscience bulletin · 2024Article
- Development of a synchronous recording and photo-stimulating electrode in multiple brain neurons.Frontiers in neuroscience · 2023Article
- Disease-associated dysbiosis and potential therapeutic role of Akkermansia muciniphila, a mucus degrading bacteria of gut microbiome.Folia microbiologica · 2022Review
- A non-canonical retina-ipRGCs-SCN-PVT visual pathway for mediating contagious itch behavior.Cell reports · 2022Article
- A Hybrid Titanium-Softmaterial, High-Strength, Transparent Cranial Window for Transcranial Injection and Neuroimaging.Biosensors · 2022Article
- A comparison of insertion methods for surgical placement of penetrating neural interfaces.Journal of neural engineering · 2021Review
Corrections and comments
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Authors and funding
6 authors.
Funding
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Abstract
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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Registered trials
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