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Related Concept Videos

Brain Imaging01:14

Brain Imaging

263
Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
263

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Non-Invasive Electrical Brain Stimulation Montages for Modulation of Human Motor Function
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Noninvasive Electrical Stimulation Neuromodulation and Digital Brain Technology: A Review.

Shuang Zhang1,2,3,4, Yuping Qin1,3, Jiujiang Wang1,3

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

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|June 28, 2023
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Summary

This study advances noninvasive neuromodulation by proposing a closed-loop system and personalized digital twin brain models. These innovations enable adaptive electrical stimulation for more accurate and individualized neural regulation.

Keywords:
digital braindigital projectionelectrical stimulationneuromodulationnoninvasivespatial domaintime domain

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Computational Neuroscience

Background:

  • Noninvasive neuromodulation research is advancing rapidly.
  • Current noninvasive electrical stimulation technologies have limitations.

Purpose of the Study:

  • To review research progress in noninvasive neural regulatory systems.
  • To propose system design solutions and theoretical guidance for enhanced neuromodulation.

Main Methods:

  • Overview of noninvasive neuromodulation history and system design.
  • Discussion of limitations in current electrical stimulation.
  • Proposal of closed-loop system design (time/space domains, multi-electrode).
  • Review of "digital brain" development for targeted modeling.
  • Development of personalized "digital twin brain" models using multimodal imaging and tissue segmentation.

Main Results:

  • A closed-loop system design integrating time, space, and multi-electrode approaches.
  • Creation of personalized "digital twin brain" models from multimodal imaging.
  • Demonstration of visualized results and adaptive parameter regulation for neuromodulation.

Conclusions:

  • Closed-loop systems and personalized digital twin brains enhance noninvasive neuromodulation.
  • These advancements allow for adaptive, visualized, and individualized electrical stimulation.
  • Improved accuracy and individual specificity in neural regulation are achieved.