A FreeSurfer-compliant consistent manual segmentation of infant brains spanning the 0-2 year age range

We present a detailed description of a set of FreeSurfer compatible segmentation guidelines tailored to infant MRI scans, and a unique data set of manually segmented acquisitions, with subjects nearly evenly distributed between 0 and 2 years of age. We believe that these segmentation guidelines and this dataset will have a wide range of potential uses in medicine and neuroscience.Eunice Kennedy Shriver National Institute of Child Health and Human Development (U.S.) (Grant 1K99HD061485-01A1)Eunice Kennedy Shriver National Institute of Child Health and Human Development (U.S.) (Grant R00 HD061485-03)Ralph Schlaeger FellowshipNational Institutes of Health (U.S.) (1R01EB014947-01)National Institutes of Health (U.S.) (K23 NS42758-01)National Center for Research Resources (U.S.) (P41-RR14075)National Center for Research Resources (U.S.) (U24 RR021382)National Institutes of Health. National Institute for Biomedical Imaging and Bioengineering (R01EB006758)National Institute on Aging (AG022381)National Institute on Aging (5R01AG008122-22)National Institute of Neurological Disorders and Stroke (U.S.) (R01 NS052585-01)National Institute of Neurological Disorders and Stroke (U.S.) (1R21NS072652-01)National Institute of Neurological Disorders and Stroke (U.S.) (1R01NS070963)National Center for Research Resources (U.S.) (Shared Instrumentation Grant 1S10RR023401)National Center for Research Resources (U.S.) (Shared Instrumentation Grant 1S10RR019307)National Center for Research Resources (U.S.) (Shared Instrumentation Grant 1S10RR023043)Ellison Medical FoundationNational Institutes of Health. Blueprint for Neuroscience Research (5U01-MH093765)Human Connectome Projec