Injectable 2D Material-Based Sensor Array for Minimally Invasive Neural Implants
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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Original language | English |
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Article number | 2400261 |
Journal / Publication | Advanced Materials |
Volume | 36 |
Issue number | 32 |
Online published | 13 May 2024 |
Publication status | Published - 8 Aug 2024 |
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DOI | DOI |
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Attachment(s) | Documents
Publisher's Copyright Statement
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Link to Scopus | https://www.scopus.com/record/display.uri?eid=2-s2.0-85193614084&origin=recordpage |
Permanent Link | https://scholars.cityu.edu.hk/en/publications/publication(5afdd654-726f-4699-ba56-60fe3b470b79).html |
Abstract
Intracranial implants for diagnosis and treatment of brain diseases have been developed over the past few decades. However, the platform of conventional implantable devices still relies on invasive probes and bulky sensors in conjunction with large-area craniotomy and provides only limited biometric information. Here, an implantable multi-modal sensor array that can be injected through a small hole in the skull and inherently spread out for conformal contact with the cortical surface is reported. The injectable sensor array, composed of graphene multi-channel electrodes for neural recording and electrical stimulation and MoS2-based sensors for monitoring intracranial temperature and pressure, is designed based on a mesh structure whose elastic restoring force enables the contracted device to spread out. It is demonstrated that the sensor array injected into a rabbit's head can detect epileptic discharges on the surface of the cortex and mitigate it by electrical stimulation while monitoring both intracranial temperature and pressure. This method provides good potential for implanting a variety of functional devices via minimally invasive surgery.
© 2024 The Authors. Advanced Materials published by Wiley-VCH Gmb.
© 2024 The Authors. Advanced Materials published by Wiley-VCH Gmb.
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Citation Format(s)
Injectable 2D Material-Based Sensor Array for Minimally Invasive Neural Implants. / Kim, Jejung; Hong, Juyeong; Park, Kyungtai et al.
In: Advanced Materials, Vol. 36, No. 32, 2400261, 08.08.2024.
In: Advanced Materials, Vol. 36, No. 32, 2400261, 08.08.2024.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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