Brain MRI Metrics and Cerebrovascular Outcomes

MR images were collected using 1.5T brain MRI (Signa TwinSpeed; General Electric Medical Systems). For more information on the MRI protocol, refer to [26 (link)–28 (link)]. Log-transformed white matter lesion volume and hippocampal volume, as well as the ratio of gray matter/intracranial volume (to account for correlation), and the number of cerebral microbleeds were entered as continuous predictors. The presence of infarcts (yes/no) was entered as a dichotomous variable.

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Twait E.L., Andaur Navarro C.L., Gudnason V., Hu Y.H., Launer L.J, & Geerlings M.I. (2023). Dementia prediction in the general population using clinically accessible variables: a proof-of-concept study using machine learning. The AGES-Reykjavik study. BMC Medical Informatics and Decision Making, 23, 168.

Publication 2023

Signa TwinSpeed

Brain Electric Gray matter Infarcts White matter

Corresponding Organization :

Other organizations : University Medical Center Utrecht, Utrecht University, University of Iceland, National Institute on Aging, Public Health Service of Amsterdam

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Variable analysis

independent variables

Log-transformed white matter lesion volume
Hippocampal volume
Ratio of gray matter/intracranial volume
Number of cerebral microbleeds
Presence of infarcts (yes/no)

dependent variables

Not explicitly mentioned

control variables

MRI field strength (1.5T)
MRI scanner model (Signa TwinSpeed; General Electric Medical Systems)

positive controls

Not specified

negative controls

Not specified

Annotations

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