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review article

Interfacing with the Brain: How Nanotechnology Can Contribute

Ahmed, Abdullah A. A.
•
Alegret, Nuria
•
Almeida, Bethany
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March 10, 2025
ACS Nano

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.

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Type
review article
DOI
10.1021/acsnano.4c10525
Web of Science ID

WOS:001446202200001

PubMed ID

40063703

Author(s)
Ahmed, Abdullah A. A.

Thamar Univ

Alegret, Nuria

Basque Foundation for Science

Almeida, Bethany

Clarkson University

Alvarez-Puebla, Ramon

Universitat Rovira i Virgili

Andrews, Anne M.

University of California System

Ballerini, Laura

International School for Advanced Studies (SISSA)

Barrios-Capuchino, Juan J.

University of Hamburg

Becker, Charline

University of Hamburg

Blick, Robert H.

University of Hamburg

Bonakdar, Shahin

University of Hamburg

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Date Issued

2025-03-10

Publisher

AMER CHEMICAL SOC

Published in
ACS Nano
Subjects

Nanoneuro interface

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brain-on-a-chip

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brain-machineinterfaces

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neuronal communication

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nanostructuredinterface

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extracellular recordings

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electrode arrays

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control of ion channels

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neuro-implants

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deepbrain stimulation

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
CHEMINA  
FunderFunding(s)Grant NumberGrant URL

Cluster of Excellence 'Advanced Imaging of Matter' EXC 2056

German Research Foundation (DFG)

408076438

German Research Foundation (DFG)

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Available on Infoscience
March 25, 2025
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/248203
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