Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Clinical Trial
. 2016 Aug 24;16(1):50.
doi: 10.1186/s12880-016-0152-x.

Multimodal MRI for early diabetic mild cognitive impairment: study protocol of a prospective diagnostic trial

Ying Yu  1 , Qian Sun  1 , Lin-Feng Yan  1 , Yu-Chuan Hu  1 , Hai-Yan Nan  1 , Yang Yang  1 , Zhi-Cheng Liu  1 , Wen Wang  2 , Guang-Bin Cui  3
Affiliations
Clinical Trial

Multimodal MRI for early diabetic mild cognitive impairment: study protocol of a prospective diagnostic trial

Ying Yu et al. BMC Med Imaging. .

Abstract

Background: Type 2 diabetes mellitus (T2DM) is a risk factor for dementia. Mild cognitive impairment (MCI), an intermediary state between normal cognition and dementia, often occurs during the prodromal diabetic stage, making early diagnosis and intervention of MCI very important. Latest neuroimaging techniques revealed some underlying microstructure alterations for diabetic MCI, from certain aspects. But there still lacks an integrated multimodal MRI system to detect early neuroimaging changes in diabetic MCI patients. Thus, we intended to conduct a diagnostic trial using multimodal MRI techniques to detect early diabetic MCI that is determined by the Montreal Cognitive Assessment (MoCA).

Methods: In this study, healthy controls, prodromal diabetes and diabetes subjects (53 subjects/group) aged 40-60 years will be recruited from the physical examination center of Tangdu Hospital. The neuroimaging and psychometric measurements will be repeated at a 0.5 year-interval for 2.5 years' follow-up. The primary outcome measures are 1) Microstructural and functional alterations revealed with multimodal MRI scans including structure magnetic resonance imaging (sMRI), resting state functional magnetic resonance imaging (rs-fMRI), diffusion kurtosis imaging (DKI), and three-dimensional pseudo-continuous arterial spin labeling (3D-pCASL); 2) Cognition evaluation with MoCA. The second outcome measures are obesity, metabolic characteristics, lifestyle and quality of life.

Discussion: The study will provide evidence for the potential use of multimodal MRI techniques with psychometric evaluation in diagnosing MCI at prodromal diabetic stage so as to help decision making in early intervention and improve the prognosis of T2DM.

Trial registration: This study has been registered to ClinicalTrials.gov ( NCT02420470 ) on April 2, 2015 and published on July 29, 2015.

Keywords: Microstructural alterations; Microvascular alterations; Mild cognitive impairment; Neuroimaging techniques; Prodromal diabetic stage; Type 2 diabetes mellitus.

PubMed Disclaimer

Figures

Fig. 1
Fig. 1
Flowchart of the current prospective diagnostic trial
See this image and copyright information in PMC

References

    1. Strachan MW, Reynolds RM, Marioni RE, Price JF. Cognitive function, dementia and type 2 diabetes mellitus in the elderly. Nat Rev Endocrinol. 2011;7(2):108–114. doi: 10.1038/nrendo.2010.228. - DOI - PubMed
    1. Luchsinger JA, Reitz C, Patel B, Tang MX, Manly JJ, Mayeux R. Relation of diabetes to mild cognitive impairment. Arch Neurol. 2007;64(4):570–575. doi: 10.1001/archneur.64.4.570. - DOI - PubMed
    1. Ritchie K, Carriere I, Ritchie CW, Berr C, Artero S, Ancelin ML. Designing prevention programmes to reduce incidence of dementia: prospective cohort study of modifiable risk factors. BMJ. 2010;341:c3885. doi: 10.1136/bmj.c3885. - DOI - PMC - PubMed
    1. Mehrabian S, Raycheva M, Gateva A, Todorova G, Angelova P, Traykova M, Stankova T, Kamenov Z, Traykov L. Cognitive dysfunction profile and arterial stiffness in type 2 diabetes. J Neurol Sci. 2012;322(1-2):152–156. doi: 10.1016/j.jns.2012.07.046. - DOI - PubMed
    1. Profenno LA, Porsteinsson AP, Faraone SV. Meta-analysis of Alzheimer’s disease risk with obesity, diabetes, and related disorders. Biol Psychiatry. 2010;67(6):505–512. doi: 10.1016/j.biopsych.2009.02.013. - DOI - PubMed

Publication types

Associated data