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An Automated Navigation System for Deep Brain Electrode Implantation

NCT06396494 · Status: ACTIVE_NOT_RECRUITING · Type: OBSERVATIONAL · Enrollment: 30

Last updated 2024-05-02

No results posted yet for this study

Summary

1. Analysis of the correlation between imaging and electrophysiological signals.
2. Real time analysis method for optimal implantation position.
3. Simultaneous Imaging and electrophysiology navigation.
4. Accuracy and security verification of navigation system.

Expectation(Hypothesis):

Develop an automated DBS surgical navigation system based on multimodal brain imaging data and neural electro-physiological signals, which can achieve real-time linkage navigation between imaging and electrophysiology, and automatically generate the optimal implantation position of DBS electrodes based on imaging and electrophysiological information through deep learning algorithms, thereby reducing DBS electrode implantation position errors and improving surgical efficacy.

Conditions

  • Advanced Parkinson's Disease
  • Refractory Epilepsy
  • Obsessive-compulsive Disorder

Sponsors & Collaborators

  • Beijing Tiantan Hospital

    lead OTHER

Eligibility

Min Age
35 Years
Max Age
75 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-01-01
Primary Completion
2024-03-18
Completion
2025-12-31

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06396494 on ClinicalTrials.gov