April 22 - 26, 2024
Seattle, Washington
May 7 - 9, 2024 (Virtual)

Event Supporters

2024 MRS Spring Meeting
SB08.11.01

3D Printed Flexible and Stretchable Tissue-Like Electronic Devices for Neural Recording

When and Where

Apr 25, 2024
10:15am - 10:45am
Room 433, Level 4, Summit

Presenter(s)

Co-Author(s)

Tao Zhou1

The Pennsylvania State University1

Abstract

Tao Zhou1

The Pennsylvania State University1
The utilization of neural recording technology has significantly transformed our comprehension of the brain, spinal cord, and other nervous systems. These technologies have provided essential insights into neural activity, hence facilitating the development of groundbreaking therapeutic approaches. Nevertheless, the development of neural recording devices that can match the properties of neural tissues remains a significant challenge. Furthermore, commonly used neural recording devices are usually time-consuming to fabricate and costly. This research presents a novel strategy to tackle the aforementioned obstacle, wherein we propose the utilization of 3D printable flexible and stretchable tissue-like electronic devices for the purpose of neural recording. The device exhibits a unique structure that offers remarkable characteristics like flexibility, stretchability, and conformability. These properties facilitate the seamless integration of the device with the brain and spinal cord. In addition, the 3D printing manufacturing process can allow rapid fabrication of designed neural electronic devices and is less costly than lithography-based manufacturing methods. This innovation exhibits remarkable ramifications, presenting significant prospects for the fields of brain-computer interfaces, neuromodulation, and neural prosthetics.

Keywords

biomaterial

Symposium Organizers

Guosong Hong, Stanford University
Seongjun Park, Korea Advanced Institute of Science and Technology
Alina Rwei, TU Delft
Huiliang Wang, The University of Texas at Austin

Symposium Support

Bronze
Cell Press

Session Chairs

Seongjun Park
Alina Rwei

In this Session