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Implantation of a Cranial Window for Repeated In Vivo Imaging in Awake Mice
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An Implantable Cranial Window Using a Collagen Membrane for Chronic Voltage-Sensitive Dye Imaging
Nobuo Kunori1, Ichiro Takashima1
1Human Informatics Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba 305-8568, Japan.
Micromachines
|November 23, 2019
Summary
This study introduces an atelocollagen membrane as a novel dura substitute for neural sensing. This biocompatible material enables repeated voltage-sensitive dye imaging, overcoming limitations of current brain-machine interfaces.
Area of Science:
- Neuroscience
- Biomaterials Science
- Medical Devices
Background:
- Optical methods are crucial for advanced neural sensing in brain-machine interfaces.
- Voltage-sensitive dye (VSD) imaging offers high spatiotemporal resolution for neural network activity visualization.
- Current VSD imaging techniques require dura mater removal and artificial dura implantation, limiting long-term use.
Purpose of the Study:
- To develop and evaluate an atelocollagen membrane as a dura substitute for implantable neural sensing devices.
- To overcome the limitations of repeated VSD imaging imposed by current dura replacement methods.
Main Methods:
- Fabrication of a cranial chamber device with an atelocollagen membrane.
- Implantation of the device into rats to monitor frontal cortex neural activity.
- Assessment of the membrane's chemical and optical transparency for VSD staining and imaging.
Main Results:
- The atelocollagen membrane demonstrated excellent chemical transparency, allowing VSD staining.
- The membrane exhibited sufficient optical transparency for light penetration.
- Forelimb-evoked neural activity was successfully visualized through the collagen membrane in vivo.
Conclusions:
- Atelocollagen membranes serve as effective dura substitutes, enabling repeated VSD imaging.
- This biocompatible material facilitates optical access for neural activity monitoring.
- The collagen membrane shows broad applicability for various implantable neural sensing technologies.

