A Simulation Toolkit for Testing the Sensitivity and Accuracy of Corticometry Pipelines.

ABSTRACT: In recent years, the replicability of neuroimaging findings has become an important concern to the research community. Neuroimaging pipelines consist of myriad numerical procedures, which can have a cumulative effect on the accuracy of findings. To address this problem, we propose a method for simulating artificial lesions in the brain in order to estimate the sensitivity and specificity of lesion detection, using different automated corticometry pipelines. We have applied this method to different versions of two widely used neuroimaging pipelines (CIVET and FreeSurfer), in terms of coefficients of variation; sensitivity and specificity of detecting lesions in 4 different regions of interest in the cortex, while introducing variations to the lesion size, the blurring kernel used prior to s

SUBMITTER: OmidYeganeh M 

PROVIDER: S-EPMC8350777 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature