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Functional Two-Dimensional Materials for Bioelectronic Neural Interfacingopen access

Authors
Akbari, Mohammad KarbalaeiSiraj Lopa, NasrinShahriari, MarinaNajafzadehkhoee, AliasgharGalusek, DusanZhuiykov, Serge
Issue Date
Jan-2023
Publisher
MDPI
Keywords
two-dimensional materials; neural interfacing; neural electrodes; bioelectronic systems
Citation
JOURNAL OF FUNCTIONAL BIOMATERIALS, v.14, no.1
Journal Title
JOURNAL OF FUNCTIONAL BIOMATERIALS
Volume
14
Number
1
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/86973
DOI
10.3390/jfb14010035
ISSN
2079-4983
Abstract
Realizing the neurological information processing by analyzing the complex data transferring behavior of populations and individual neurons is one of the fast-growing fields of neuroscience and bioelectronic technologies. This field is anticipated to cover a wide range of advanced applications, including neural dynamic monitoring, understanding the neurological disorders, human brain-machine communications and even ambitious mind-controlled prosthetic implant systems. To fulfill the requirements of high spatial and temporal resolution recording of neural activities, electrical, optical and biosensing technologies are combined to develop multifunctional bioelectronic and neuro-signal probes. Advanced two-dimensional (2D) layered materials such as graphene, graphene oxide, transition metal dichalcogenides and MXenes with their atomic-layer thickness and multifunctional capabilities show bio-stimulation and multiple sensing properties. These characteristics are beneficial factors for development of ultrathin-film electrodes for flexible neural interfacing with minimum invasive chronic interfaces to the brain cells and cortex. The combination of incredible properties of 2D nanostructure places them in a unique position, as the main materials of choice, for multifunctional reception of neural activities. The current review highlights the recent achievements in 2D-based bioelectronic systems for monitoring of biophysiological indicators and biosignals at neural interfaces.
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