作者: Donald R. Royall , Raymond F. Palmer , Eric D. Vidoni , Robyn A. Honea , Jeffrey M. Burns
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摘要: We have employed structural equation models to explicitly distinguish dementia-relevant variance in cognitive task performance (i.e., δ) from the that is unrelated a dementing process g'). Together g' and d comprise Spearman's "g". Although represents only minor fraction of total performance, it more strongly associated with dementia severity than g'. In this analysis, we replicate δ new dataspace, University Kansas Brain Aging Project, associate specifically regional grey matter atrophy by voxel-based morphometry magnetic resonance imaging data. The latent variable localizes elements default mode network related structures R hemisphere.