ICBM 2009a Nonlinear Asymmetric MNI brain template

Image pre-processing included non-uniform intensity correction (Sled, 1998) and intensity normalization to a range of 0–100. All T1w MRI data was then transformed into the Talairach-like MNI stereotaxic space using minctracc (Collins, Neelin et al. 1994). Brain masking was performed using BET (Smith, 2002). Age-based subgroups of subjects were created, and all scans within each group were then automatically re-registered to the stereotaxic space using the appropriate template. For each group, an iterative nonlinear co-registration algorithm (Grabner, Janke et al. 2006, Fonov, 2011), was applied to obtain the group averages. The T1-based transformation was then applied to the T2, PD and tissue classified volumes to generate average atlases for these data. Methodological details can be found in (Fonov, 2011).Copyright (C) 1993–2004 Louis Collins, McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University. Permission to use, copy, modify, and distribute this software and its documentation for any purpose and without fee is hereby granted, provided that the above copyright notice appear in all copies. The authors and McGill University make no representations about the suitability of this software for any purpose. It is provided “as is” without express or implied warranty. The authors are not responsible for any data loss, equipment damage, property loss, or injury to subjects or patients resulting from the use or misuse of this software package