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Chinese Journal of Brain Diseases and Rehabilitation(Electronic Edition) ›› 2025, Vol. 15 ›› Issue (05): 257-260. doi: 10.3877/cma.j.issn.2095-123X.2025.05.001

• Editorial •    

Digital and intelligent development of Functional Neurosurgery

Yanbing Yu()   

  1. Department of Neurosurgery, China-Japan Friendship Hospital, Beijing 100029, China
  • Received:2025-09-07 Online:2025-10-15 Published:2025-12-17
  • Contact: Yanbing Yu
  • Supported by:
    Beijing Natural Science Foundation-Haidian Original Innovation Joint Fund Project(L242112, L222034); National Key R&D Program of China(2022YFC2402500); National Natural Science Foundation of China(32300816, 32471035); National High Level Hospital Clinical Research Funding(2022-NHLHCRF-YS-05)

Abstract:

Functional Neurosurgery, as an important sub specialty of modern neurosurgery, has the core task of accurately intervening in specific nerve roots, neural circuits, neural population, and even the brain-wide network to correct pathological and physiological processes, remodel neural function, and ultimately restore normal life abilities to patients. With the development of modern Functional Neurosurgery, technologies such as surgical navigation systems, surgical robots, microelectrodes, and brain computer interfaces continue to iterate, assisted by spectral, vascular, magnetic resonance evaluation, and algorithm optimization, the level of disease diagnosis and treatment technology continues to improve. A platform integrating big data, artificial intelligence, brain-computer interfaces has been established, expanding the scope of disease treatment and enhancing neurological function protection through precision, minimally invasive approaches, digitalization, and intelligence. This article mainly reviews the development digitalization and intelligence in Functional Neurosurgery, aiming to provide a reference for promoting neural function remodeling and whole brain network research.

Key words: Functional Neurosurgery, Digitalization and intelligence development, Stereotactic technology, Multimodal imaging, Artificial intelligence, Brain-computer interface

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