Litcius/Paper detail

Sensing and Stimulation Applications of Carbon Nanomaterials in Implantable Brain-Computer Interface

Jinning Li, Yuhang Cheng, Minling Gu, Zhen Yang, Lisi Zhan, Zhanhong Du

2023International Journal of Molecular Sciences31 citationsDOIOpen Access PDF

Abstract

Implantable brain-computer interfaces (BCIs) are crucial tools for translating basic neuroscience concepts into clinical disease diagnosis and therapy. Among the various components of the technological chain that increases the sensing and stimulation functions of implanted BCI, the interface materials play a critical role. Carbon nanomaterials, with their superior electrical, structural, chemical, and biological capabilities, have become increasingly popular in this field. They have contributed significantly to advancing BCIs by improving the sensor signal quality of electrical and chemical signals, enhancing the impedance and stability of stimulating electrodes, and precisely modulating neural function or inhibiting inflammatory responses through drug release. This comprehensive review provides an overview of carbon nanomaterials' contributions to the field of BCI and discusses their potential applications. The topic is broadened to include the use of such materials in the field of bioelectronic interfaces, as well as the potential challenges that may arise in future implantable BCI research and development. By exploring these issues, this review aims to provide insight into the exciting developments and opportunities that lie ahead in this rapidly evolving field.

Topics & Concepts

Brain–computer interfaceInterface (matter)Brain functionComputer scienceField (mathematics)NeuroscienceBrain stimulationNanotechnologyStimulationMaterials scienceElectroencephalographyPsychologyParallel computingMathematicsBubbleMaximum bubble pressure methodPure mathematicsNeuroscience and Neural EngineeringElectrochemical sensors and biosensorsAdvanced Memory and Neural Computing
Sensing and Stimulation Applications of Carbon Nanomaterials in Implantable Brain-Computer Interface | Litcius