Comparison of motion correction techniques applied to functional near-infrared spectroscopy data from children (Erratum).

The erratum concerns amendment of Section 2.5 of the published article.

Comparison of motion correction techniques applied to functional near-infrared spectroscopy data from children.

Motion artifacts are the most significant sources of noise in the context of pediatric brain imaging designs and data analyses, especially in applications of functional near-infrared spectroscopy (fNIRS), in which it can completely affect the quality of the data acquired. Different methods have been developed to correct motion artifacts in fNIRS data, but the relative effectiveness of these methods for data from child and infant subjects (which is often found to be significantly noisier than adult data) remains largely unexplored. The issue is further complicated by the heterogeneity of fNIRS data artifacts.