Nature Electronics

, volume 6 , issue 2 , pages 109-118

Flexible brain–computer interfaces

Xin Tang ¹

Hao Shen ¹

Siyuan Zhao ¹

Na Li ¹

Jia Liu ¹

Hide authors affiliations Show authors affiliations: 1 affiliation

John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, USA |

Publication type: Journal Article

Publication date: 2023-02-02

Springer Nature

Nature Electronics

scimago Q1

wos Q1

SJR: 11.082

CiteScore: 49.1

Impact factor: 40.9

ISSN: 25201131

DOI: 10.1038/s41928-022-00913-9

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Electronic, Optical and Magnetic Materials

Electrical and Electronic Engineering

Instrumentation

Abstract

Brain–computer interfaces—which allow direct communication between the brain and external computers—have potential applications in neuroscience, medicine and virtual reality. Current approaches are, however, based on conventional rigid electronics and are limited by their intrinsic mechanical and geometrical mismatch with brain tissue. Flexible electronics, which can have mechanical properties compatible with the brain, could address these limitations and be used to create the next generation of brain–computer interfaces. Here we explore the use of flexible electronics in the development of brain–computer interfaces. We examine the unique advantages of flexible, stretchable and soft electronics in such interfaces and consider the potential impact of the technology on neuroscience, neuroprosthetic control, bioelectronic medicine, and brain and machine intelligence integration. We also explore the challenges in materials, device fabrication and system integration that need to be addressed to develop flexible brain–computer interfaces of general applicability. This Perspective explores the use of flexible electronics in the development of brain–computer interfaces, considering their potential impact on neuroscience, neuroprosthetic control, bioelectronic medicine, and brain and machine intelligence integration.

Found

1 citation

Sobolev Alexey

PhD in Chemistry, associate professor

152 publications, 1 633 citations, 19 reviews

h-index: 20

Lomonosov Moscow State University

Mossbauer spectroscopy

Spin waves

Synchrotron radiation

1 citation

Starchikov Sergey

PhD in Physics and Mathematics

55 publications, 640 citations

h-index: 15

Kurchatov Complex of Crystallography and Photonics of NRC «Kurchatov Institute»

Shubnikov Institute of Crystallography

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Cite this

GOST |

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GOST Copy

Tang X. et al. Flexible brain–computer interfaces // Nature Electronics. 2023. Vol. 6. No. 2. pp. 109-118.

GOST all authors (up to 50) Copy

Tang X., Shen H., Zhao S., Li N., Liu J. Flexible brain–computer interfaces // Nature Electronics. 2023. Vol. 6. No. 2. pp. 109-118.

RIS |

Cite this

RIS Copy

TY - JOUR

DO - 10.1038/s41928-022-00913-9

UR - https://doi.org/10.1038/s41928-022-00913-9

TI - Flexible brain–computer interfaces

T2 - Nature Electronics

AU - Tang, Xin

AU - Shen, Hao

AU - Zhao, Siyuan

AU - Li, Na

AU - Liu, Jia

PY - 2023

DA - 2023/02/02

PB - Springer Nature

SP - 109-118

IS - 2

VL - 6

SN - 2520-1131

ER -

BibTex |

Cite this

BibTex (up to 50 authors) Copy

@article{2023_Tang,

author = {Xin Tang and Hao Shen and Siyuan Zhao and Na Li and Jia Liu},

title = {Flexible brain–computer interfaces},

journal = {Nature Electronics},

year = {2023},

volume = {6},

publisher = {Springer Nature},

month = {feb},

url = {https://doi.org/10.1038/s41928-022-00913-9},

number = {2},

pages = {109--118},

doi = {10.1038/s41928-022-00913-9}

}

MLA

Cite this

MLA Copy

Tang, Xin, et al. “Flexible brain–computer interfaces.” Nature Electronics, vol. 6, no. 2, Feb. 2023, pp. 109-118. https://doi.org/10.1038/s41928-022-00913-9.

Publisher

Springer Nature

Journal

Nature Electronics

scimago Q1

wos Q1

SJR

11.082

CiteScore

49.1

Impact factor

40.9

ISSN

25201131 (Electronic)