journal article·2023Open access

Engineering graphene-based electrodes for optical neural stimulation

Artur Filipe Rodrigues, Ana P. M. Tavares, Susana Simões, Rui P. F. F. Silva, Tomás Sobrino, Bruno R. Figueiredo, Goreti Sales, Lino Ferreira

Nanoscale· Volume 15· Issue 2

Abstract

Graphene-based materials (GBMs) have been investigated in recent years with the aim of developing flexible interfaces to address a range of neurological disorders, where electrical stimulation may improve brain function and tissue regeneration. The recent discovery that GBM electrodes can generate an electrical response upon light exposure has inspired the development of non-genetic approaches capable of selectively modulating brain cells without genetic manipulation (i.e., optogenetics). Here, we propose the conjugation of graphene with upconversion nanoparticles (UCNPs), which enable wireless transcranial activation using tissue-penetrating near-infrared (NIR) radiation. Following a design of experiments approach, we first investigated the influence of different host matrices and dopants commonly used to synthesize UCNPs in the electrical response of graphene. Two UCNP formulations achieving optimal enhancement of electrical conductivity upon NIR activation at λ = 780 or 980 nm were identified. These formulations were then covalently attached to graphene nanoplatelets following selective hydroxyl derivatization. The resulting nanocomposites were evaluated in vitro using SH-SY5Y human neuroblastoma cells. NIR activation at λ = 980 nm promoted cell proliferation and downregulated neuronal and glial differentiation markers, suggesting the potential application of GBMs in minimally invasive stimulation of cells for tissue regeneration.
Source: europepmc · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Neuroscience and Neural Engineering · Photoreceptor and optogenetics research · Molecular Communication and Nanonetworks

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

CNC – Center for Neurosciences and Cell Biology, University of Coimbra, 3000-517 Coimbra, Portugal

BioMark@UC, Department of Chemical Engineering, Faculty of Sciences and Technology, University of Coimbra, 3030-790 Coimbra, Portugal

Graphenest S.A., Edifício Vouga Park, 3740-070 Paradela do Vouga, Portugal

NeuroAging Laboratory, Clinical Neurosciences Research Laboratory, Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Spain

Faculty of Medicine, Pólo das Ciências da Saúde, Unidade Central, University of Coimbra, 3000-354 Coimbra, Portugal

Funding

Programa Operacional Temático Factores de Competitividade · H2020 Spreading Excellence and Widening Participation

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