Voxel-wise and spatial modelling of binary lesion masks: Comparison of methods with a realistic simulation framework.

ABSTRACT:

Objectives

White matter lesions are a very common finding on MRI in older adults and their presence increases the risk of stroke and dementia. Accurate and computationally efficient modelling methods are necessary to map the association of lesion incidence with risk factors, such as hypertension. However, there is no consensus in the brain mapping literature whether a voxel-wise modelling approach is better for binary lesion data than a more computationally intensive spatial modelling approach that accounts for voxel dependence.

Methods

We review three regression approaches for modelling binary lesion masks including mass-univariate probit regression modelling with either maximum likelihood estimates, or mean bias-reduced estimates, and spatial Bayesian modelling, where the

SUBMITTER: Kindalova P 

PROVIDER: S-EPMC8752964 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature