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To develop a set of biomarkers for imaging of small vessel disease in diabetic individuals using advanced MRI techniques. With this the investigators want to document progression of disease both radiologically and clinically.
The investigators will use a paradigm developed at Yale University called Cognitive Predictive Modelling (CPM) which takes connectivity data and reduces it to two smaller network which predict higher and lower performance in a particular task for which these networks have been optimized. Vascular measures will complement this measure.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Diabetics/No cognitive impairment | These are individuals with diabetes who do not have vascular cognitive impairment as determined by VASCOG criteria. |
| |
| Diabetics with vascular cognitive impairment | These are individuals with diabetes who have vascular cognitive impairment as determined by VASCOG criteria. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| MRI including cf-MRI, DTI, ASL and CVR. | Diagnostic Test | A paradigm developed at Yale University called Cognitive Predictive Modelling which takes connectivity data and reduces it to two smaller network which predict higher and lower performance in a particular task for which these networks have been optimized. This will be supplemented by MRI vascular measures. |
| Measure | Description | Time Frame |
|---|---|---|
| Diagnostic Odds ratio for the MRI vascular cognitive impairment biomarker. | This will be calculated from the sensitivity and specificity as compared to clinical diagnosis. | 2 years |
| Measure | Description | Time Frame |
|---|---|---|
| Correlation between the biomarker and cognition | Assess whether the biomarker can predict the severity of the cognitive performance. | 18 months. |
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Inclusion Criteria:
A - Vascular cognitive impairment:
B- Cognitively normal elderly Subjects:
Exclusion Criteria:
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Our study population are those with type 2 diabetes in mid-life and old age, who may or may not have cognitive deficits, whose cognitive deficits (when present) cannot be better explained by other factors. We exclude those who are unable to have MRI or cognitive testing due to a variety of reasons.
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| Name | Affiliation | Role |
|---|---|---|
| Arash Salardini, MD | Yale University | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Yale University School of Medicine | New Haven | Connecticut | 06510 | United States |
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| ID | Term |
|---|---|
| D003925 | Diabetic Angiopathies |
| ID | Term |
|---|---|
| D014652 | Vascular Diseases |
| D002318 | Cardiovascular Diseases |
| D048909 | Diabetes Complications |
| D003920 | Diabetes Mellitus |
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| ID | Term |
|---|---|
| D056324 | Diffusion Tensor Imaging |
| ID | Term |
|---|---|
| D059906 | Neuroimaging |
| D003952 | Diagnostic Imaging |
| D019937 | Diagnostic Techniques and Procedures |
| D003933 | Diagnosis |
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Blood tests are performed on all participants at three time points. When permission exists we are banking CSF and blood products.
|
|
| D004700 |
| Endocrine System Diseases |
| D038524 |
| Diffusion Magnetic Resonance Imaging |
| D008279 | Magnetic Resonance Imaging |
| D014054 | Tomography |
| D003943 | Diagnostic Techniques, Neurological |
| D008919 | Investigative Techniques |