Wei Gao1, Hongtu Zhu2, Kelly Giovanello3, Keith Smith4, Dinggang Shen5, John Gilmore6, Weili Lin5
1Department of Biomedical Engineering, University of North Carolina-Chapel Hill, Chapel Hill, NC, USA; 2Department of Biostatistics and BRIC, University of North Carolina-Chapel Hill; 3Department of Psychology and BRIC, University of North Carolina-Chapel Hill; 4Department of Radiology, University of North Carolina-Chapel Hill; 5Department of Radiology and BRIC; 6Department of Psychiatry, University of North Carolina-Chapel Hill
Frequency-based brain network analysis on rsfcMRI may offer new insights into frequency dependence of brain functional network. In this study, healthy pediatric subjects at age of 2 wks to 2 yrs were recruited and rsfMRI was obtained, aiming to delineate the emerging and developing trajectory of brain functional connectivity at different frequencies of interest in a critical time period of early brain development.