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BRAIN CONNECTIVITY ATLAS FOR PERSONALIZED FUNCTIONAL NEUROSURGERY TARGETING AND BRAIN STIMULATION PROGRAMMING
专利权人:
General Electric Company;University Health Network
发明人:
Radhika Madhavan,Gavin Elias,Alexandre Boutet,Suresh Joel
申请号:
US16253390
公开号:
US20200230413A1
申请日:
2019.01.22
申请国别(地区):
US
年份:
2020
代理人:
摘要:
A system and method for identifying a patient-specific neurosurgery target location is provided. The system receives brain imaging data for a patient that includes tracts and networks in the patient brain, accesses a quantitative connectome atlas comprising population-based, disease-specific structural and functional connectivity maps comprising a pattern of tracts and networks associated with an optimal target area (OTA) identified from a population of patients, and defines the patient-specific neurosurgery target location based on a comparison between a pattern of the tracts and networks from the brain imaging data for the patient and the pattern of tracts and networks associated with the OTA identified from the population of patients in the quantitative connectome atlas. The quantitative connectome atlas comprises a disease-specific, population-based quantitative connectome atlas that identifies an optimal target location for treatment associated with a maximal clinical improvement for each disease in the population of patients.
来源网站:
中国工程科技知识中心
来源网址:
http://www.ckcest.cn/home/

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