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Clinical Trial Summary

Developing and validating an early digitalized recognition device and multimodal warning model for Alzheimer's disease, and establishing a precision transcranial ultrasound stimulation intervention system.


Clinical Trial Description

1. Establishment of early digitalized recognition devices and multimodal warning models for AD: Participants undergo clinical assessments, and if they meet the inclusion criteria, their gender, age, MMSE, MoCA, CDR, GDS scores, as well as EEG ERP and MR data are collected. Eye-tracking analysis based on human-computer interaction perception technology, limb movement detection, and laser radar depth sensor fusion cognitive assessment are also performed simultaneously. After enrollment, follow-up assessments using scales (MMSE, MoCA, CDR, GDS, ADAS-cog, etc.) are conducted every six months, and EEG ERP and MR data are collected annually. 2. Construction of a precision transcranial ultrasound stimulation intervention system: Participants were randomly divided into true stimulation group and false stimulation group: true/false stimulation for 2 weeks, washout for 2 weeks, false/true stimulation for 2 weeks. After treatment, behavioral scale assessment, EEG ERP and multimodal MRI were performed to evaluate the therapeutic effect. ;


Study Design


Related Conditions & MeSH terms


NCT number NCT05978830
Study type Interventional
Source First Affiliated Hospital of Zhejiang University
Contact Yi Ling, Dr
Phone 15168236137
Email 12118458@zju.edu.cn
Status Recruiting
Phase N/A
Start date March 1, 2022
Completion date December 30, 2024

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