Mild Cognitive ImpairmentNCT02353884
Multi-modality MRI Study on Prediction for Mild Cognitive Impairment Conversion
An observational study of Mild Cognitive Impairment and Alzheimer's Disease, run by XuanwuH 2 at 1 site in China.
Trial 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). Read more about this study
- Who is it for?
- Ages 55 to 75 yearsHealthy volunteers can take part
- Conditions the study is for
- Mild Cognitive Impairment, Alzheimer's Disease
- How many people
- 150 participants
- Where
- 1 siteChina
- Study dates
- Jan 2010to Dec 2012
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 55 to 75 years
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Study population: The cognition of MCI is between healthy control and AD, which is thought the transitional stage of AD. Patients with MCI have heavy risk to convert to AD.
Who may be able to join
- 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
Who cannot join
- Other diseases that cause cognitive impairment, such as thyroid disease, stroke and so on
- People who have severe visual and hearing impairment
Trial locations and contacts
1 site in 1 country.
China1 site
Department of Neurolgy,Xuanwu Hospital of Capital Medical University
Beijing, Beijing Municipality, 100053
About this study
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.
Read the 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.
- Conditions
- Mild Cognitive Impairment, Alzheimer's Disease
- Medical subject headings
- Cognitive Dysfunction, Alzheimer Disease
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
| Study group | Role | What they receive |
|---|---|---|
| MCIp,MCIs | progressive MCI:those convert to AD in two years, stable MCI | |
| MCI,HC | mild cognitive impairment, healthy control |
What is being measured
The primary outcome is the main question the study is designed to answer.
the accuracy of a predictable classifier from MCI to AD based on Multi-Modality MRI characteristics of MCI patients.
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
Measured: 2 years
Secondary outcomes (3)
characteristic changes of brain structure in progressive MCI
voxel based morphometry (VBM) and cortical-thicknessanalysis(CTA)based on structural MRI were used to characterize the changes of brain structure in the MCIp comparing with the MCIs and healthy control
Measured: 2 years
characteristic changes of anatomical connectivity in progressing MCI
region of interest(ROI),voxel and fiber bundle analysis based on diffusion tensor imaging were used to detect differences among the MCIp,MCIs and healthy control in fractional anisotropy(FA) and mean diffusivity(MD).
Measured: 2 years
characteristic changes of functional connectivity in progressing MCI
functional connectivity(FC) was compared among the MCIp, MCIs and healthy control using resting-state functional magnetic resonance imaging.
Measured: 2 years
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted3 Feb 2015 (estimated)
- Study startJan 2010
- Primary completionDec 2011
- Study completionDec 2012
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (3)Papers the sponsor has linked to this study.
- Other trials for Mild Cognitive ImpairmentStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Case-control
- Time perspective
- Prospective
- Enrolment
- 150 participants (actual)
Sponsor and investigators
- Lead sponsor
- XuanwuH 2
- Sponsor type
- University, hospital or other
- Collaborators
- Xuanwu Hospital, Beijing
- Responsible party
- Sponsor-investigator, XuanwuH 2, Xuanwu Hospital, Beijing
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT02353884
- Sponsor's protocol ID
- hanying3
- Status last verified
- Jan 2015
- First submitted
- 4 Oct 2014
- Last updated
- 3 Feb 2015
- Results posted
- No
- Data monitoring committee
- Yes
Publications
Li Z, Yan S, Zhao K, Wang D, Yao H, Zhou B, Zhang Z, Wang P, Liao Z, Chen Y, Zhang X, Han Y, Lu J, Liu Y. A neuroimaging biomarker for disease staging in clinically diagnosed Alzheimer's disease. BMC Med. 2026 Feb 5;24(1):145. doi: 10.1186/s12916-026-04674-6.
PubMed 41639807Sheng C, Sun Y, Wang M, Wang X, Liu Y, Pang D, Liu J, Bi X, Du W, Zhao M, Li Y, Li X, Jiang J, Han Y. Combining Visual Rating Scales for Medial Temporal Lobe Atrophy and Posterior Atrophy to Identify Amnestic Mild Cognitive Impairment from Cognitively Normal Older Adults: Evidence Based on Two Cohorts. J Alzheimers Dis. 2020;77(1):323-337. doi: 10.3233/JAD-200016.
PubMed 32716355Yang L, Yan Y, Wang Y, Hu X, Lu J, Chan P, Yan T, Han Y. Gradual Disturbances of the Amplitude of Low-Frequency Fluctuations (ALFF) and Fractional ALFF in Alzheimer Spectrum. Front Neurosci. 2018 Dec 20;12:975. doi: 10.3389/fnins.2018.00975. eCollection 2018.
PubMed 30618593
Study at a glance
From the registry record, last updated by the sponsor on 3 Feb 2015. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Multi-modality MRI Study on Prediction for Mild Cognitive Impairment Conversion
- ClinicalTrials.gov ID
- NCT02353884
- Acronym / sponsor ID
- hanying3
- Conditions
- Mild Cognitive Impairment, Alzheimer's Disease
- Study type
- Observational
- Recruitment status
- Completed
- Enrolment
- 150 participants (actual)
- Lead sponsor
- XuanwuH 2University, hospital or other
- Collaborators
- Xuanwu Hospital, Beijing
- Study start
- Jan 2010
- Primary completion
- Dec 2011 (actual)
- Study completion
- Dec 2012 (actual)
- First posted
- 3 Feb 2015 (estimated)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
Study design
- Observational model
- Case-control
- Time perspective
- Prospective
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| MCIp,MCIs | – | –progressive MCI:those convert to AD in two years, stable MCI |
| MCI,HC | – | –mild cognitive impairment, healthy control |
Who may qualify
- Ages
- 55 to 75 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
- Study population
- The cognition of MCI is between healthy control and AD, which is thought the transitional stage of AD. Patients with MCI have heavy risk to convert to AD.
Key inclusion criteria (8 listed)
- 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
Key exclusion criteria (2 listed)
- Other diseases that cause cognitive impairment, such as thyroid disease, stroke and so on
- People who have severe visual and hearing impairment
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
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
3 secondary outcomes
characteristic changes of brain structure in progressive MCI
Time frame: 2 years
characteristic changes of anatomical connectivity in progressing MCI
Time frame: 2 years
characteristic changes of functional connectivity in progressing MCI
Time frame: 2 years
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 3 Feb 2015.
- Derived from this study: PubMed 41639807Li Z, Yan S, Zhao K, Wang D, Yao H, Zhou B, Zhang Z, Wang P, Liao Z, Chen Y, Zhang X, Han Y, Lu J, Liu Y. A neuroimaging biomarker for disease staging in clinically diagnosed Alzheimer's disease. BMC Med. 2026 Feb 5;24(1):145. doi: 10.1186/s12916-026-04674-6.
- Derived from this study: PubMed 32716355Sheng C, Sun Y, Wang M, Wang X, Liu Y, Pang D, Liu J, Bi X, Du W, Zhao M, Li Y, Li X, Jiang J, Han Y. Combining Visual Rating Scales for Medial Temporal Lobe Atrophy and Posterior Atrophy to Identify Amnestic Mild Cognitive Impairment from Cognitively Normal Older Adults: Evidence Based on Two Cohorts. J Alzheimers Dis. 2020;77(1):323-337. doi: 10.3233/JAD-200016.
- Derived from this study: PubMed 30618593Yang L, Yan Y, Wang Y, Hu X, Lu J, Chan P, Yan T, Han Y. Gradual Disturbances of the Amplitude of Low-Frequency Fluctuations (ALFF) and Fractional ALFF in Alzheimer Spectrum. Front Neurosci. 2018 Dec 20;12:975. doi: 10.3389/fnins.2018.00975. eCollection 2018.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
The record lists no contact. Use the official record to reach the sponsor.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Mild Cognitive Impairment and Alzheimer's Disease, run by XuanwuH 2 at 1 site in China.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 8 inclusion and 2 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 3 Feb 2015. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in China. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
the accuracy of a predictable classifier from MCI to AD based on Multi-Modality MRI characteristics of MCI patients. (time frame: 2 years). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT02353884, which also lists 3 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 3 Feb 2015.