Injectable 2D Material-Based Sensor Array for Minimally Invasive Neural Implants

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

3 Scopus Citations
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Author(s)

  • Jejung Kim
  • Juyeong Hong
  • Kyungtai Park
  • Sangwon Lee
  • Anh Tuan Hoang
  • Seunghyeon Ji
  • Chun Kee Chung
  • Sunggu Yang
  • Jong-Hyun Ahn

Related Research Unit(s)

Detail(s)

Original languageEnglish
Article number2400261
Journal / PublicationAdvanced Materials
Volume36
Issue number32
Online published13 May 2024
Publication statusPublished - 8 Aug 2024

Link(s)

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.

Research Area(s)

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.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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