Multimodal Technologies for Closed‐Loop Neural Modulation and Sensing

Author:

Li Lizhu1,Zhang Bozhen2,Zhao Wenxin3,Sheng David3,Yin Lan2,Sheng Xing3ORCID,Yao Dezhong1ORCID

Affiliation:

1. Sichuan Provincial Key Laboratory for Human Disease Gene Study and the Center for Medical Genetics School of Life Science and Technology University of Electronic Science and Technology of China Chengdu 611731 China

2. School of Materials Science and Engineering The Key Laboratory of Advanced Materials of Ministry of Education State Key Laboratory of New Ceramics and Fine Processing Laboratory of Flexible Electronics Technology Tsinghua University Beijing 100084 China

3. Department of Electronic Engineering Beijing National Research Center for Information Science and Technology Institute for Precision Medicine Laboratory of Flexible Electronics Technology IDG/McGovern Institute for Brain Research Tsinghua University Beijing 100084 China

Abstract

AbstractExisting methods for studying neural circuits and treating neurological disorders are typically based on physical and chemical cues to manipulate and record neural activities. These approaches often involve predefined, rigid, and unchangeable signal patterns, which cannot be adjusted in real time according to the patient's condition or neural activities. With the continuous development of neural interfaces, conducting in vivo research on adaptive and modifiable treatments for neurological diseases and neural circuits is now possible. In this review, current and potential integration of various modalities to achieve precise, closed‐loop modulation, and sensing in neural systems are summarized. Advanced materials, devices, or systems that generate or detect electrical, magnetic, optical, acoustic, or chemical signals are highlighted and utilized to interact with neural cells, tissues, and networks for closed‐loop interrogation. Further, the significance of developing closed‐loop techniques for diagnostics and treatment of neurological disorders such as epilepsy, depression, rehabilitation of spinal cord injury patients, and exploration of brain neural circuit functionality is elaborated.

Funder

National Natural Science Foundation of China

Beijing Municipal Natural Science Foundation

China Postdoctoral Science Foundation

National Postdoctoral Program for Innovative Talents

Publisher

Wiley

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