Figure 1.

Connectomic information extracted from the ADNI dataset has gaps. A, The different dataset releases by the ADNI consortium include a variety of information relative to different biomarkers and imaging modalities. Here, we focus on structural and fMRI features and, chiefly: T1, DTI (allowing to extract empirical structural connectomes), and rsfMRI BOLD time series (allowing to extract empirical functional connectomes). B, Matrices SC_emp and FC_emp summarizing connectomic information about, respectively, SC and FC are obtained via elaborated multistep processing pipelines, using various software including FreeSurfer, FSL, ANTS, and MRtrix3. C, The total number of subjects in healthy aging dataset is 49 between the ages of 18 and 80 (mean = 42.16 ± 18.37; 19 male/30 female) in which with approximately equal number of subjects they were divided into four categories (I:IV). The total number of ADNI-derived subjects investigated in this study is 244, in which 74 subjects were control, while 119 subjects labeled as MCI, and 51 subjects as AD. Out of these 244, FC_emp could be extracted for 168 subjects, and SC_emp for 88. However, SC_emp and FC_emp were both simultaneously available for just a minority of 12 subjects (referred to as the SC_emp + FC_emp subset). The available data are shown in blue and the missing data in gray, the SC_emp + FC_emp subset is shown in pink.