接口
材料科学
神经细胞
脑-机接口
接口(物质)
纳米技术
曲面(拓扑)
神经科学
细胞
计算机科学
生物
计算机硬件
几何学
生物化学
复合材料
毛细管作用
脑电图
数学
毛细管数
作者
Ian Sands,R.E. DeMarco,Laura Thurber,Alberto Esteban‐Linares,Dong Song,Ellis Meng,Yupeng Chen
标识
DOI:10.1002/adma.202401750
摘要
Nanomaterial advancements have driven progress in central and peripheral nervous system applications such as tissue regeneration and brain-machine interfacing. Ideally, neural interfaces with native tissue shall seamlessly integrate, a process that is often mediated by the interfacial material properties. Surface topography and material chemistry are significant extracellular stimuli that can influence neural cell behavior to facilitate tissue integration and augment therapeutic outcomes. This review characterizes topographical modifications, including micropillars, microchannels, surface roughness, and porosity, implemented on regenerative scaffolding and brain-machine interfaces. Their impact on neural cell response is summarized through neurogenic outcome and mechanistic analysis. The effects of surface chemistry on neural cell signaling with common interfacing compounds like carbon-based nanomaterials, conductive polymers, and biologically inspired matrices are also reviewed. Finally, the impact of these extracellular mediated neural cues on intracellular signaling cascades is discussed to provide perspective on the manipulation of neuron and neuroglia cell microenvironments to drive therapeutic outcomes.
科研通智能强力驱动
Strongly Powered by AbleSci AI