| Literature DB >> 26654788 |
M Dylan Tisdall1, Martin Reuter2, Abid Qureshi3, Randy L Buckner4, Bruce Fischl5, André J W van der Kouwe6.
Abstract
Recent work has demonstrated that subject motion produces systematic biases in the metrics computed by widely used morphometry software packages, even when the motion is too small to produce noticeable image artifacts. In the common situation where the control population exhibits different behaviors in the scanner when compared to the experimental population, these systematic measurement biases may produce significant confounds for between-group analyses, leading to erroneous conclusions about group differences. While previous work has shown that prospective motion correction can improve perceived image quality, here we demonstrate that, in healthy subjects performing a variety of directed motions, the use of the volumetric navigator (vNav) prospective motion correction system significantly reduces the motion-induced bias and variance in morphometry.Entities:
Keywords: Bias; Cortical gray matter estimates; Head motion; MRI; Motion correction; Quality control; Thickness; Volume
Mesh:
Year: 2015 PMID: 26654788 PMCID: PMC4754677 DOI: 10.1016/j.neuroimage.2015.11.054
Source DB: PubMed Journal: Neuroimage ISSN: 1053-8119 Impact factor: 6.556