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We are grateful for the two anonymous reviewers for the insightful advice provided on an earlier version of this manuscript. ""Neuroimaging research in the field of dementia focuses on the impact of behavioral, neuropsychological, genetic and demographic factors on brain atrophy associated with transition from healthy aging through mild cognitive impairment (MCI) and further to Alzheimer's disease (AD) (Buckner, Histamine H2 receptor 2004, Ewers et al., 2011, Fonteijn et al., 2012, F?rster et al., 2012, Gao et al., 1998, Gomar et al., 2011, Good et al., 2001, Jedynak et al., 2012, Johnson et al., 2009?and?Tisserand et al., 2004). We face a steadily increasing number of structural magnetic resonance imaging (sMRI, (Davatzikos et al., 2008b?and?Kloppel et al., 2008)) and [18F]fluorodeoxyglucose positron emission tomography (FDG-PET, (Habeck et al., 2008, Haense et al., 2009?and?Sadeghi et al., 2008)) studies showing high sensitivity to the disease process when used separately (Alexander et al., 2002, Anchisi et al., 2005, Jack et al., 2010, Jagust et al., 2007, Kinkingnehun et al., 2008, Kloppel et al., 2008?and?Schroeter et al., 2009) and a gain in diagnostic accuracy when used together in a multimodal Gefitinib datasheet approach (Dukart et al., 2011a?and?Fan et al., 2008). A viable way of understanding pathophysiology and further improving diagnostic accuracy in MCI and AD is the integration of previous knowledge about characteristic features of progression from a healthy state to AD. However, the straightforward interpretation of such an integrative approach DAPT could be limited by either systematic differences in demographic and cognitive abilities within patients and healthy controls or the use of particular image data processing algorithms (Crivello et al., 2002, Dukart et al., 2010?and?Jones et al., 2005). One such demographic factor that has been shown to have a strong differential impact on disease progression is age. Previous studies have indicated that early-onset (age?