Fig. 1
From: A low-dimensional cognitive-network space in Alzheimer’s disease and frontotemporal dementia
Workflow of the methodology. Patients and controls underwent an extensive cognitive and clinical assessment and a 3T magnetic resonance imaging (MRI) exam. MRI functional data were preprocessed, registered to the subject surface, and parcellated. From these parcels, we computed the functional connectivity strength according to Yeo’s network template. Each cognitive test score was z-scored and entered in a principal component analysis (PCA) to identify the main cognitive components. Both univariate and multivariate approaches were applied to investigate the relationship between cognition and functional connectivity. Abbreviations: AD, Alzheimer’s disease; bvFTD, behavioral frontotemporal dementia; HC, healthy controls; TR, time repetition; PC, principal component