Test-retest Reproducibility for Resting State Networks in fMRI

Resting state networks (rsN) are important to assess the neural connectivity in the brain in repose. The assessment of the rsN could help to the diagnosis and treatment of different psychological and psiquiatric disorders, for example different studies have found that the DMN is affected in patients with major depression. The BOLD signal could be affected and change by technical and phyisiological factors as: movement, cardiac function, different potioning of the subject in the scan, the hour of the day, etc. for that reason is important to evaluate the rsN reproducibility between subjects and sessions. In the present study we obtain the rsN for 36 volunteer healthy subjects (18-60 years old) in three different sessions separated by 15 days each one, we acquired two different BOLD rsfMRI sequences (eyes open) with different spatial resolution in a 3T scanner with a 32 head sense channel coil, the FE-EPI sequences have the following parameters TE/TR = 30/ 2000 ms, FA = 75, FOV= 240 mm x 240 mm x 123 mm, matrix 80x 78 x 35, with isometric spatial resolution of 3 mm and other with anisotropic resolution. The Intraclass Correlation Coefficient (ICC) was calculated and we found the ICC between first and second sessions less than the ICC between second and third sessions.