I am working with pediatric data and have some early evidence that running recon-all with the flag -norm2-b 20 -norm2-n 5 improves the anterior temporal lobe segmention as suggested in the v5.2 release notes (I am running this with v5.3). I'd like to experiment more with this parameters to see if I can further improve the segmentation but have been unable to find a a description of how these parameters influence the 2nd norm. Can someone point me to such a description?