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Interfacing with the Brain: How Nanotechnology Can Contribute
Citation Link: https://doi.org/10.15480/882.15043
Publikationstyp
Review Article
Date Issued
2025-03-25
Sprache
English
Author(s)
Ahmed, Abdullah A.A.
Alegret, Nuria
Almeida, Bethany
Alvarez-Puebla, Ramón
Andrews, Anne M.
Ballerini, Laura
Barrios-Capuchino, Juan J.
Becker, Charline
Bonakdar, Shahin
Chakraborty, Indranath
Chen, Xiaodong
Cheon, Jinwoo
Chilla, Gerwin
Coelho Conceicao, Andre Luiz
Delehanty, James
Dulle, Martin
Efros, Alexander L.
Epple, Matthias
Fedyk, Mark
Feliu, Neus
Feng, Miao
Fernández-Chacón, Rafael
Fernandez-Cuesta, Irene
Fertig, Niels
Förster, Stephan
Garrido, Jose A.
George, Michael
Hampp, Norbert
Harberts, Jann
Han, Jili
Heekeren, Hauke R.
Hofmann, Ulrich G.
Holzapfel, Malte
Hosseinkazemi, Hessam
Huang, Yalan
Hyeon, Taeghwan
Ienca, Marcello
Kang, Yanan
Kim, Dae Hyeong
Kostarelos, Kostas
Lee, Jae Hyun
Lin, Kai Wei
Liu, Sijin
Liu, Yang
Lohr, Christian
Mailänder, Volker
Maffongelli, Laura
Megahed, Saad
Mews, Alf
Mutas, Marina
Nack, Leroy
Nakatsuka, Nako
Oertner, Thomas G.
Offenhäusser, Andreas
Oheim, Martin
Otange, Ben
Otto, Ferdinand
Patrono, Enrico
Picchiotti, Alessandra
Pierini, Filippo
Pötter-Nerger, Monika
Pozzi, Maria
Pralle, Arnd
Prato, Maurizio
Qi, Bing
Ramos-Cabrer, Pedro
Genger, Ute Resch
Ritter, Norbert
Rittner, Marten
Roy, Sathi
Santoro, Francesca
Schuck, Nicolas W.
Şeker, Erkin
Skiba, Marvin
Sosniok, Martin
Stephan, Holger
Wang, Ruixia
Wang, Ting
Wegner, K. David
Weiss, Paul S.
Xu, Ming
Yang, Chenxi
Zargarian, Seyed Shahrooz
Zeng, Yuan
Zhou, Yaofeng
Zhu, Dingcheng
Parak, Wolfgang J.
TORE-DOI
Journal
Volume
19
Issue
11
Start Page
10630
End Page
10717
Citation
ACS Nano 19 (11): 10630-10717 (2025)
Publisher DOI
Scopus ID
Publisher
American Chemical Society
Interfacing artificial devices with the human brain is the central goal of neurotechnology. Yet, our imaginations are often limited by currently available paradigms and technologies. Suggestions for brain-machine interfaces have changed over time, along with the available technology. Mechanical levers and cable winches were used to move parts of the brain during the mechanical age. Sophisticated electronic wiring and remote control have arisen during the electronic age, ultimately leading to plug-and-play computer interfaces. Nonetheless, our brains are so complex that these visions, until recently, largely remained unreachable dreams. The general problem, thus far, is that most of our technology is mechanically and/or electrically engineered, whereas the brain is a living, dynamic entity. As a result, these worlds are difficult to interface with one another. Nanotechnology, which encompasses engineered solid-state objects and integrated circuits, excels at small length scales of single to a few hundred nanometers and, thus, matches the sizes of biomolecules, biomolecular assemblies, and parts of cells. Consequently, we envision nanomaterials and nanotools as opportunities to interface with the brain in alternative ways. Here, we review the existing literature on the use of nanotechnology in brain-machine interfaces and look forward in discussing perspectives and limitations based on the authors’ expertise across a range of complementary disciplines─from neuroscience, engineering, physics, and chemistry to biology and medicine, computer science and mathematics, and social science and jurisprudence. We focus on nanotechnology but also include information from related fields when useful and complementary.
Subjects
brain-on-a-chip | brain−machine interfaces | control of ion channels | deep brain stimulation | electrode arrays | extracellular recordings | Nanoneuro interface | nanostructured interface | neuro-implants | neuronal communication
DDC Class
610: Medicine, Health
Publication version
publishedVersion
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