SCORING SEGMENTATIONS Qualitative segmentation scores by two raters (rater1; rater2). Scale: excellent (4); good (3); doubtful (2) and failed (1). DATABASES IXI database, Imperial College of London (https://brain-development.org/ixi-dataset/) Autism Brain Imaging Data Exchange (ABIDE) database (http://fcon_1000.projects.nitrc.org) SchizConnect database (http://schizconnect.org) SEGMENTATION METHODS MR-TIM (Taberna et al., 2021), green rows WTS (Liu et al., 2017), red rows TABLES IXI_young 20 MRI from the IXI database, participants 20–35 years old; MR scanners: Philips Intera 3.0T (HH); Philips Gyroscan Intera 1.5T (G) IXI_older 20 MRI from the IXI database, participants 60–75 years old; MR scanners: Philips Intera 3.0T (HH); Philips Gyroscan Intera 1.5T (G) ABIDE 10 MRI from the ABIDE database, participants 18-25 years old; MR scanner: Philips Achieva 3.0T SchizConnect 10 MRI from the SchizConnect database, participants 19-66 years old; MR scanner: Siemens Trio Tim 3.0T REFERENCES Liu, Q., Farahibozorg, S., Porcaro, C., Wenderoth, N., & Mantini, D. (2017). Detecting large-scale networks in the human brain using high-density electroencephalography. Hum Brain Mapp, 38(9), 4631-4643. doi:10.1002/hbm.23688 Taberna, G. A., Samogin, J., & Mantini, D. (2021). Automated Head Tissue Modelling Based on Structural Magnetic Resonance Images for Electroencephalographic Source Reconstruction. Neuroinformatics. doi:10.1007/s12021-020-09504-5