Harnessing the 2D Structure-Enabled Viscoelasticity of Graphene-Based Hydrogel Membranes for Chronic Neural Interfacing.
Zhiyuan XiongWenhui HuangQinghua LiangYang CaoShuyi LiuZicong HeRanran ZhangBin ZhangRylie GreenShuixing ZhangDan LiPublished in: Small methods (2022)
Stiffness and viscoelasticity of neural implants regulate the foreign body response. Recent studies have suggested the use of elastic or viscoelastic materials with tissue-like stiffness for long-term neural electrical interfacing. Herein, the authors find that a viscoelastic multilayered graphene hydrogel (MGH) membrane, despite exhibiting a much higher Young's modulus than nerve tissues, shows little inflammatory response after 8-week implantation in rat sciatic nerves. The MGH membrane shows significant viscoelasticity due to the slippage between graphene nanosheets, facilitating its seamless yet minimally compressive interfacing with nerves to reduce the inflammation caused by the stiffness mismatch. When used as neural stimulation electrodes, the MGH membrane can offer abundant ion-accessible surfaces to bring a charge injection capacity 1-2 orders of magnitude higher than its traditional Pt counterpart, and further demonstrates chronic neural therapy potential in low-voltage modulation of rat blood pressure. This work suggests that the emergence of 2D nanomaterials and particularly their unique structural attributes can be harnessed to enable new bio-interfacing design strategies.
Keyphrases
- inflammatory response
- blood pressure
- oxidative stress
- drug delivery
- carbon nanotubes
- gene expression
- randomized controlled trial
- room temperature
- clinical trial
- adipose tissue
- escherichia coli
- spinal cord injury
- machine learning
- spinal cord
- hyaluronic acid
- gold nanoparticles
- metal organic framework
- highly efficient
- lps induced
- deep learning
- candida albicans
- solid state