The impact of sample size on the reproducibility of voxel-based lesion-deficit mappings.

ABSTRACT: This study investigated how sample size affects the reproducibility of findings from univariate voxel-based lesion-deficit analyses (e.g., voxel-based lesion-symptom mapping and voxel-based morphometry). Our effect of interest was the strength of the mapping between brain damage and speech articulation difficulties, as measured in terms of the proportion of variance explained. First, we identified a region of interest by searching on a voxel-by-voxel basis for brain areas where greater lesion load was associated with poorer speech articulation using a large sample of 360 right-handed English-speaking stroke survivors. We then randomly drew thousands of bootstrap samples from this data set that included either 30, 60, 90, 120, 180, or 360 patients. For each resample, we recorded effect size

SUBMITTER: Lorca-Puls DL 

PROVIDER: S-EPMC6018568 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature