Noninvasive Electrical Stimulation Neuromodulation and Digital Brain Technology: A Review

Author:

Zhang Shuang1234ORCID,Qin Yuping13,Wang Jiujiang13ORCID,Yu Yuanyu13ORCID,Wu Lin24,Zhang Tao245

Affiliation:

1. The School of Artificial Intelligence, Neijiang Normal University, Neijiang 641000, China

2. The School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610056, China

3. The NJNU-OMNISKY Smart Medical Engineering Applications Joint Laboratory, Neijiang Normal University, Neijiang 641004, China

4. The High Field Magnetic Resonance Brain Imaging Laboratory of Sichuan, Chengdu 610056, China

5. The Sichuan Institute for Brain Science and Brain-Inspired Intelligence, Chengdu 610056, China

Abstract

We review the research progress on noninvasive neural regulatory systems through system design and theoretical guidance. We provide an overview of the development history of noninvasive neuromodulation technology, focusing on system design. We also discuss typical cases of neuromodulation that use modern noninvasive electrical stimulation and the main limitations associated with this technology. In addition, we propose a closed-loop system design solution of the “time domain”, “space domain”, and “multi-electrode combination”. For theoretical guidance, this paper provides an overview of the “digital brain” development process used for noninvasive electrical-stimulation-targeted modeling and the development of “digital human” programs in various countries. We also summarize the core problems of the existing “digital brain” used for noninvasive electrical-stimulation-targeted modeling according to the existing achievements and propose segmenting the tissue. For this, the tissue parameters of a multimodal image obtained from a fresh cadaver were considered as an index. The digital projection of the multimodal image of the brain of a living individual was implemented, following which the segmented tissues could be reconstructed to obtain a “digital twin brain” model with personalized tissue structure differences. The “closed-loop system” and “personalized digital twin brain” not only enable the noninvasive electrical stimulation of neuromodulation to achieve the visualization of the results and adaptive regulation of the stimulation parameters but also enable the system to have individual differences and more accurate stimulation.

Funder

Sichuan Science and Technology Program

the Science and Technology Innovation 2030-Brain Science and Brain-inspired Artificial Intelligence Key Project

National Key Research and Development Program of China

Foundation of Ph.D. Scientific Research of Neijiang Normal University

China Postdoctoral Science Foundation

Sichuan Applied Psychology Research Center of Chengdu Medical College

Publisher

MDPI AG

Subject

General Biochemistry, Genetics and Molecular Biology,Medicine (miscellaneous)

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