用于确定个体化神经调控靶点的方法、装置、处理器及其计算机可读存储介质

By establishing a mathematical model and generating a parameter weight map, the problem of accurately locating individualized neuromodulation targets in existing technologies has been solved, realizing individualized neuromodulation target localization and improving treatment efficacy and interpretability.

CN121416003BActive Publication Date: 2026-07-17BEIJING ANDING HOSPITAL CAPITAL MEDICAL UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
BEIJING ANDING HOSPITAL CAPITAL MEDICAL UNIV
Filing Date
2025-10-27
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing neuromodulation methods cannot accurately locate individualized neuromodulation targets, resulting in poor treatment outcomes for mood disorders and anxiety disorders. Traditional methods ignore individualized abnormal factors in neural activity in patients.

Method used

By acquiring repeated measurements of neuroimaging data and clinical psychological assessment data, a mathematical model was established to describe the relationship between brain activity indicators and clinical assessment data. The optimal model was selected and a parameter weight map was generated to determine individualized neuromodulation targets.

Benefits of technology

It enables personalized neuromodulation target localization, improving the precision and effectiveness of treatment. The generated β map has clear biostatistical significance and is easy for clinicians to understand and accept.

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Abstract

本发明涉及一种用于确定个体化神经调控靶点的方法，该方法通过在一预设时间周期内，获取受试者的多次重复测量的神经影像数据和相应的临床心理评估数据；计算预设脑区内各体素的脑活动指标；建立多个候选数学模型来描述脑活动指标与临床评分之间的关系；通过拟合残差的统计检验选择最优模型；基于最优模型生成代表“症状‑活动”关联强度的参数权重图谱；最终根据该图谱的数值分布确定个体化的神经调控靶点。本发明还涉及一种相应的装置、处理器及其计算机可读存储介质，通过“纵向追踪‑多模型拟合‑残差最优选择”的核心方法论，解决了现有技术因忽略症状异质性和个体脑功能差异导致的靶点定位不精确问题，显著提升了神经调控治疗的疗效。
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Citation Information

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