Objective.The development of electrode arrays able to reliably record brain electrical activity is a critical issue in brain machine interface (BMI) technology. In the present study we undertook a comprehensive physico-chemical, physiological, histological and immunohistochemical characterization of new single-walled carbon nanotubes (SWCNT)-based electrode arrays grafted onto medium-density polyethylene (MD-PE) films.Approach.The long-term electrical stability, flexibility, and biocompatibility of the SWCNT arrays were investigatedin vivoin laboratory rats by two-months recording and analysis of subdural electrocorticogram (ECoG). Ex-vivo characterization of a thin flexible and single probe SWCNT/polymer electrode is also provided.Main results.The SWCNT arrays were able to capture high quality and very stable ECoG signals across 8 weeks. The histological and immunohistochemical analyses demonstrated that SWCNT arrays show promising biocompatibility properties and may be used in chronic conditions. The SWCNT-based arrays are flexible and stretchable, providing low electrode-tissue impedance, and, therefore, high compliance with the irregular topography of the cortical surface. Finally, reliable evoked synaptic local field potentials in rat brain slices were recorded using a special SWCNT-polymer-based flexible electrode.Significance.The results demonstrate that the SWCNT arrays grafted in MD-PE are suitable for manufacturing flexible devices for subdural ECoG recording and might represent promising candidates for long-term neural implants for epilepsy monitoring or neuroprosthetic BMI.

Pavone, L., Moyanova, S., Mastroiacovo, F., Fazi, L., Busceti, C., Gaglione, A., et al. (2020). Chronic neural interfacing with cerebral cortex using single-walled carbon nanotube-polymer grids. JOURNAL OF NEURAL ENGINEERING, 17(3) [10.1088/1741-2552/ab98db].

Chronic neural interfacing with cerebral cortex using single-walled carbon nanotube-polymer grids

Fazi, L.;Prioriello, A.;Nicoletti, F.;Senesi, R.
2020-01-01

Abstract

Objective.The development of electrode arrays able to reliably record brain electrical activity is a critical issue in brain machine interface (BMI) technology. In the present study we undertook a comprehensive physico-chemical, physiological, histological and immunohistochemical characterization of new single-walled carbon nanotubes (SWCNT)-based electrode arrays grafted onto medium-density polyethylene (MD-PE) films.Approach.The long-term electrical stability, flexibility, and biocompatibility of the SWCNT arrays were investigatedin vivoin laboratory rats by two-months recording and analysis of subdural electrocorticogram (ECoG). Ex-vivo characterization of a thin flexible and single probe SWCNT/polymer electrode is also provided.Main results.The SWCNT arrays were able to capture high quality and very stable ECoG signals across 8 weeks. The histological and immunohistochemical analyses demonstrated that SWCNT arrays show promising biocompatibility properties and may be used in chronic conditions. The SWCNT-based arrays are flexible and stretchable, providing low electrode-tissue impedance, and, therefore, high compliance with the irregular topography of the cortical surface. Finally, reliable evoked synaptic local field potentials in rat brain slices were recorded using a special SWCNT-polymer-based flexible electrode.Significance.The results demonstrate that the SWCNT arrays grafted in MD-PE are suitable for manufacturing flexible devices for subdural ECoG recording and might represent promising candidates for long-term neural implants for epilepsy monitoring or neuroprosthetic BMI.
2020
Pubblicato
Rilevanza internazionale
Articolo
Esperti anonimi
Settore PHYS-06/A - Fisica per le scienze della vita, l'ambiente e i beni culturali
English
Con Impact Factor ISI
single-walled carbon nanotube
brain machine interface
subdural ECoG arrays
polymer carbon nanotubes composite
ECoG
biocompatibility
neural interfaces
Pavone, L., Moyanova, S., Mastroiacovo, F., Fazi, L., Busceti, C., Gaglione, A., et al. (2020). Chronic neural interfacing with cerebral cortex using single-walled carbon nanotube-polymer grids. JOURNAL OF NEURAL ENGINEERING, 17(3) [10.1088/1741-2552/ab98db].
Pavone, L; Moyanova, S; Mastroiacovo, F; Fazi, L; Busceti, C; Gaglione, A; Martinello, K; Fucile, S; Bucci, D; Prioriello, A; Nicoletti, F; Fornai, F;...espandi
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/394435
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