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Related Concept Videos

Action Potential01:14

Action Potential

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Neurons communicate by firing action potentials—the electrochemical signal that is propagated along the axon. The signal results in the release of neurotransmitters at axon terminals, thereby transmitting information to the nervous system. An action potential is a specific "all-or-none" change in membrane potential that results in a rapid spike in voltage.
Membrane potential in neurons
Neurons typically have a resting membrane potential of about -70 millivolts (mV). When they receive...
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Non-Invasive Electrical Brain Stimulation Montages for Modulation of Human Motor Function
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[Neuromodulation: Past, Present, and Future].

Hu-Tao Xie1, Jian-Guo Zhang1,2

  • 1Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China.

Sichuan Da Xue Xue Bao. Yi Xue Ban = Journal of Sichuan University. Medical Science Edition
|July 24, 2022
PubMed
Summary
This summary is machine-generated.

Neuromodulation technology offers significant benefits for neurological disorders but faces challenges in understanding mechanisms and optimizing treatments. Future advancements aim for more individualized and intelligent neuromodulation therapies.

Keywords:
Brain disorderDeep brain stimulationNeuromodulationSpinal cord stimulationVagus nerve stimulation

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Area of Science:

  • Medical Technology
  • Neuroscience
  • Neurological Disorders

Background:

  • Neuromodulation technology is rapidly evolving, expanding treatment options for functional neurological disorders.
  • Hundreds of thousands of patients worldwide have benefited from these advancements.

Purpose of the Study:

  • To review the evolution of neuromodulation technology.
  • To comment on the current applications and future prospects of neuromodulation.

Main Methods:

  • Literature review of neuromodulation techniques and applications.
  • Analysis of current challenges and future trends in the field.

Main Results:

  • Neuromodulation has advanced significantly, improving patient outcomes.
  • Key challenges include understanding mechanisms, identifying optimal targets, predicting efficacy, and programming efficiency.

Conclusions:

  • Continued technological advancement and a deeper understanding of neural networks will address current challenges.
  • Future neuromodulation will become more individualized, precise, and intelligent.