Cerebromicrovascular Disease in Elderly with Diabetes

Description

This dataset was collected as part of a prospective observational study to evaluate the effects of type 2 diabetes mellitus (DM) on cerebral vasoregulation, perfusion and functional outcomes, measured by blood flow responses to hypocapnia and hypercapnia, Valsalva maneuver, head-up tilt, and sit-to-stand test. The dataset comprises of observations from 69 diabetic and control participants (aged 55 to 75 years) with continuous measurements of cerebral blood flow using transcranial Doppler and MRI (magnetic resonance imaging), heart rate, blood pressure, and respiratory parameters, balance, walking, laboratory and retinopathy measures at baseline, and 41 subjects who completed the two-years of follow-up. Regional gray, white matter and cerebrospinal fluid volumes were quantified using a segmentation method applied on T1- and T2- weighted images and perfusion maps, using a continuous arterial spin labeling (CASL) images at 3 Tesla MRI. White matter integrity was determined from fluid attenuated inversion recovery (FLAIR) and diffusion tensor imaging (DTI) MRI. Dynamics of cerebral vasoregulation to CO2 challenge and orthostatic stress were measured using Transcranial Doppler ultrasound (TCD).

Update Frequency

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License

Creative Commons Attribution 4.0 International Public License

Documentation

https://doi.org/10.13026/00bm-0x81

Managed By

PhysioNet

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Contact

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How to Cite

Cerebromicrovascular Disease in Elderly with Diabetes was accessed on DATE from https://registry.opendata.aws/cded.