The ultra-thin, minimally invasive surface electrode array NeuroWeb for probing neural activity

Electrophysiological recording technologies can provide valuable insights into the functioning of the central and peripheral nervous systems. Surface electrode arrays made of soft materials or implantable multi-electrode arrays with high electrode density have been widely utilized as neural probes. However, neither of these probe types can simultaneously achieve minimal invasiveness and robust neural signal detection. Here, we present an ultra-thin, minimally invasive neural probe (the NeuroWeb) consisting of hexagonal boron nitride and graphene, which leverages the strengths of both surface electrode array and implantable multi-electrode array. The NeuroWeb open lattice structure with a total thickness of 100 nm demonstrates high flexibility and strong adhesion, establishing a conformal and tight interface with the uneven mouse brain surface. In vivo electrophysiological recordings show that NeuroWeb detects stable single-unit activity of neurons with high signal-to-noise ratios. Furthermore, we investigate neural interactions between the somatosensory cortex and the cerebellum using transparent dual NeuroWebs and optical stimulation, and measure the times of neural signal transmission between the brain regions depending on the pathway. Therefore, NeuroWeb can be expected to pave the way for understanding complex brain networks with optical and electrophysiological mapping of the brain. Minimal invasiveness and robust signal detection are required in neural probes. Here, the authors develop NeuroWeb, an ultra-thin, minimally invasive surface electrode array. In vivo electrophysiological and optogenetic experiments show single-unit activity of neurons with high signal-to-noise ratio.

Automated summary

This study presents an ultra-thin, minimally invasive neural probe called NeuroWeb, which combines the advantages of surface electrode arrays and implantable multi-electrode arrays. In vivo experiments demonstrate its ability to detect stable single-unit activity of neurons with high signal-to-noise ratios. The researchers also investigate neural interactions between brain regions using transparent dual NeuroWebs and optical stimulation. This study provides insights into complex brain networks through optical and electrophysiological mapping.