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research article

Deployment of an electrocorticography system with a soft robotic actuator

Song, Sukho  
•
Fallegger, Florian  
•
Trouillet, Alix  
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May 10, 2023
Science Robotics

Electrocorticography (ECoG) is a minimally invasive approach frequently used clinically to map epileptogenic regions of the brain and facilitate lesion resection surgery and increasingly explored in brain-machine interface applications. Current devices display limitations that require trade-offs among cortical surface coverage, spatial electrode resolution, aesthetic, and risk consequences and often limit the use of the mapping technology to the operating room. In this work, we report on a scalable technique for the fabrication of large-area soft robotic electrode arrays and their deployment on the cortex through a square-centimeter burr hole using a pressure -driven actuation mechanism called eversion. The deployable system consists of up to six prefolded soft legs, and it is placed subdurally on the cortex using an aqueous pressurized solution and secured to the pedestal on the rim of the small craniotomy. Each leg contains soft, microfabricated electrodes and strain sensors for real-time deployment monitoring. In a proof-of-concept acute surgery, a soft robotic electrode array was successfully de-ployed on the cortex of a minipig to record sensory cortical activity. This soft robotic neurotechnology opens promising avenues for minimally invasive cortical surgery and applications related to neurological disorders such as motor and sensory deficits.

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Type
research article
DOI
10.1126/scirobotics.add1002
Web of Science ID

WOS:000996010000005

Author(s)
Song, Sukho  
Fallegger, Florian  
Trouillet, Alix  
Kim, Kyungjin  
Lacour, Stephanie P.  
Date Issued

2023-05-10

Publisher

AMER ASSOC ADVANCEMENT SCIENCE

Published in
Science Robotics
Volume

8

Issue

78

Article Number

eadd1002

Subjects

Robotics

•

Robotics

•

brain

•

stimulation

•

surgery

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

Available on Infoscience
June 19, 2023
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/198394
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