Multi-modality MRI Study on Prediction for Mild Cognitive Impairment Conversion
Overview
- Phase
- Not Applicable
- Intervention
- Not specified
- Conditions
- Mild Cognitive Impairment
- Sponsor
- XuanwuH 2
- Enrollment
- 150
- Locations
- 1
- Primary Endpoint
- the accuracy of a predictable classifier from MCI to AD based on Multi-Modality MRI characteristics of MCI patients.
- Status
- Completed
- Last Updated
- 11 years ago
Overview
Brief Summary
The purpose of this study is to find the characteristics of mild cognitive impairment (MCI) using technology of Multi-Modality MRI , including structural MRI, functional MRI and diffusion tensor imaging(DTI). Then analyze the difference between progressive MCI (MCIp) and stable MCI (MCIs) and further construct the predictable classifier from MCI to Alzheimer's disease (AD) based on Multi-Modality MRI characteristics of MCI patients.
Detailed Description
The cognition of MCI is between normal healthy and AD, which is thought the transitional stage of AD. Patients with MCI have heavy risk to convert to AD, so in this study, the investigators focus on the exploration of the characteristics of mild cognitive impairment (MCI) using technology of Multi-Modality MRI, including structural MRI, functional MRI and DTI. Then the investigators further study the patients who convert to AD and explore their MRI characteristics on baseline, in order to construct the predictable classifier from MCI to AD. The investigators want to achieve the early diagnosis of AD and help clinicians interfere with the progress of this disease.
Investigators
XuanwuH 2
Chief physician
Xuanwu Hospital, Beijing
Eligibility Criteria
Inclusion Criteria
- •Age is between 55 to 75 years old
- •Memory loss complaint and confirmed by an informant
- •Cognitive impairment in single or multiple domains, adjusted for age and education
- •Normal or near-normal performance on general cognitive function and no or minimum impairment of daily life activities
- •A Clinical Dementia Rating (CDR) score is 0.5 and consistent with the boundary of neuropsychological scale
- •Failure to meet the criteria for dementia
- •Must be able to accept examination of MRI, sight and hearing allow to complete test
- •Right handedness
Exclusion Criteria
- •Other diseases that cause cognitive impairment, such as thyroid disease, stroke and so on
- •People who have severe visual and hearing impairment
Outcomes
Primary Outcomes
the accuracy of a predictable classifier from MCI to AD based on Multi-Modality MRI characteristics of MCI patients.
Time Frame: 2 years
one-hundred MCI subjects and 50 healthy controls recruited underwent structure,resting-state functional magnetic resonance imaging and diffusion tensor imaging.After 2-year follow-up,the MCI subjects were divided into progressive MCI(MCIp) and stable MCI(MCIs).Based on differences among MCIp，MCIs and healthy controls in baseline neuroimaging data，some suitable indicators were selected，and then a predictable classifier from MCI to AD based on multi-modality MRI was constructed.At last，the leave-one-out cross validation analysis were conducted to estimate the accuracy of the classifier.The classification accuracy was measured by the proportion of MCI subjects that were correctly classified into the MCIp or MCIs groups
Secondary Outcomes
- characteristic changes of anatomical connectivity in progressing MCI(2 years)
- characteristic changes of brain structure in progressive MCI(2 years)
- characteristic changes of functional connectivity in progressing MCI(2 years)