NeuroRoots, a bio-inspired, seamless brain machine interface
for long-term recording in delicate brain regions

J 2024

NeuroRoots, a bio-inspired, seamless brain machine interface for long-term recording in delicate brain regions

FERRO, Marc D, Christopher M PROCTOR, Alexander GONZALEZ, Sriram JAYABAL, Eric ZHAO et. al.

Základní údaje

Originální název

NeuroRoots, a bio-inspired, seamless brain machine interface for long-term recording in delicate brain regions

Autoři

FERRO, Marc D, Christopher M PROCTOR, Alexander GONZALEZ, Sriram JAYABAL, Eric ZHAO, Maxwell GAGNON, Andrea SLEZIA, Jolien PAS, Gerwin DIJK, Mary J DONAHUE, Adam WILLIAMSON (124 Kanada, domácí), Jennifer RAYMOND, George G MALLIARAS, Lisa GIOCOMO a Nicholas A MELOSH

Vydání

AIP Advances, MELVILLE, AMER INST PHYSICS, 2024, 2158-3226

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

30210 Clinical neurology

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 1.600 v roce 2022

Organizační jednotka

Lékařská fakulta

DOI

http://dx.doi.org/10.1063/5.0216979

UT WoS

001285497400004

Klíčová slova anglicky

NeuroRoots; brain machine interface; delicate brain regions

Štítky

14110132

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 19. 8. 2024 10:26, Mgr. Tereza Miškechová

Anotace

V originále

Scalable electronic brain implants with long-term stability and low biological perturbation are crucial technologies for high-quality brain-machine interfaces that can seamlessly access delicate and hard-to-reach regions of the brain. Here, we created "NeuroRoots," a biomimetic multi-channel implant with similar dimensions (7 mu m wide and 1.5 mu m thick), mechanical compliance, and spatial distribution as axons in the brain. Unlike planar shank implants, these devices consist of a number of individual electrode "roots," each tendril independent from the other. A simple microscale delivery approach based on commercially available apparatus minimally perturbs existing neural architectures during surgery. NeuroRoots enables high density single unit recording from the cerebellum in vitro and in vivo. NeuroRoots also reliably recorded action potentials in various brain regions for at least 7 weeks during behavioral experiments in freely-moving rats, without adjustment of electrode position. This minimally invasive axon-like implant design is an important step toward improving the integration and stability of brain-machine interfacing.

Citovat

FERRO, Marc D, Christopher M PROCTOR, Alexander GONZALEZ, Sriram JAYABAL, Eric ZHAO, Maxwell GAGNON, Andrea SLEZIA, Jolien PAS, Gerwin DIJK, Mary J DONAHUE, Adam WILLIAMSON, Jennifer RAYMOND, George G MALLIARAS, Lisa GIOCOMO a Nicholas A MELOSH. NeuroRoots, a bio-inspired, seamless brain machine interface for long-term recording in delicate brain regions. AIP Advances. MELVILLE: AMER INST PHYSICS, 2024, roč. 14, č. 8, s. 1-12. ISSN 2158-3226. Dostupné z: https://dx.doi.org/10.1063/5.0216979.

@article{2423141,
   author = {Ferro, Marc D and Proctor, Christopher M and Gonzalez, Alexander and Jayabal, Sriram and Zhao, Eric and Gagnon, Maxwell and Slezia, Andrea and Pas, Jolien and Dijk, Gerwin and Donahue, Mary J and Williamson, Adam and Raymond, Jennifer and Malliaras, George G and Giocomo, Lisa and Melosh, Nicholas A},
   article_location = {MELVILLE},
   article_number = {8},
   doi = {http://dx.doi.org/10.1063/5.0216979},
   keywords = {NeuroRoots; brain machine interface; delicate brain regions},
   language = {eng},
   issn = {2158-3226},
   journal = {AIP Advances},
   title = {NeuroRoots, a bio-inspired, seamless brain machine interface for long-term recording in delicate brain regions},
   url = {https://pubs.aip.org/aip/adv/article/14/8/085109/3307242/NeuroRoots-a-bio-inspired-seamless-brain-machine},
   volume = {14},
   year = {2024}
}

TY  - JOUR
ID  - 2423141
AU  - Ferro, Marc D - Proctor, Christopher M - Gonzalez, Alexander - Jayabal, Sriram - Zhao, Eric - Gagnon, Maxwell - Slezia, Andrea - Pas, Jolien - Dijk, Gerwin - Donahue, Mary J - Williamson, Adam - Raymond, Jennifer - Malliaras, George G - Giocomo, Lisa - Melosh, Nicholas A
PY  - 2024
TI  - NeuroRoots, a bio-inspired, seamless brain machine interface for long-term recording in delicate brain regions
JF  - AIP Advances
VL  - 14
IS  - 8
SP  - 1-12
EP  - 1-12
PB  - AMER INST PHYSICS
SN  - 21583226
KW  - NeuroRoots
KW  - brain machine interface
KW  - delicate brain regions
UR  - https://pubs.aip.org/aip/adv/article/14/8/085109/3307242/NeuroRoots-a-bio-inspired-seamless-brain-machine
N2  - Scalable electronic brain implants with long-term stability and low biological perturbation are crucial technologies for high-quality brain-machine interfaces that can seamlessly access delicate and hard-to-reach regions of the brain. Here, we created "NeuroRoots," a biomimetic multi-channel implant with similar dimensions (7 mu m wide and 1.5 mu m thick), mechanical compliance, and spatial distribution as axons in the brain. Unlike planar shank implants, these devices consist of a number of individual electrode "roots," each tendril independent from the other. A simple microscale delivery approach based on commercially available apparatus minimally perturbs existing neural architectures during surgery. NeuroRoots enables high density single unit recording from the cerebellum in vitro and in vivo. NeuroRoots also reliably recorded action potentials in various brain regions for at least 7 weeks during behavioral experiments in freely-moving rats, without adjustment of electrode position. This minimally invasive axon-like implant design is an important step toward improving the integration and stability of brain-machine interfacing.
ER  -

FERRO, Marc D, Christopher M PROCTOR, Alexander GONZALEZ, Sriram JAYABAL, Eric ZHAO, Maxwell GAGNON, Andrea SLEZIA, Jolien PAS, Gerwin DIJK, Mary J DONAHUE, Adam WILLIAMSON, Jennifer RAYMOND, George G MALLIARAS, Lisa GIOCOMO a Nicholas A MELOSH. NeuroRoots, a bio-inspired, seamless brain machine interface for long-term recording in delicate brain regions. \textit{AIP Advances}. MELVILLE: AMER INST PHYSICS, 2024, roč.~14, č.~8, s.~1-12. ISSN~2158-3226. Dostupné z: https://dx.doi.org/10.1063/5.0216979.

Podrobný výpis o publikaci