Congratulations to Dr. Nichols on his recent publishing in the Frontiers in Applied Mathematics and Statistics Journal, titled “Validation of Critical Ages in Regional Adult Brain Maturation.”
In this article, Dr. Nichols identified that there are linear and non-linear maturation rates that impact different biological mechanisms. With this, he simulated data with known maturation patterns and a single critical age characterizing a qualitative change in maturation to establish the validity of a non-parametric fitting method, the smoothing spline, combined with processing steps for determining the form of the pattern and the associated critical age. In this study, both biological data and generated data were examined through multiple models. The findings suggest that smoothing splines were shown to be a valid means of identifying a set of maturation patterns for adult ages and were shown to contain the essential information required to determine a single critical age for the patterns. Moreover, it was found that for a majority of non-linear areas, new critical ages were identified. However, Dr. Nichols suggests that further modifications to the analysis procedure could include a wider set of maturation patterns and the inclusion of multiple critical ages to help determine distinctions between brain areas in the timing of developmental or degenerative events that influence their volume.
For more information on the article, follow this link and once again congratulations Dr. Nichols for this recent publication!
.
.
.