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Abstract #0027

Whole Brain Connectivity Analysis Using Resting State Functional MRI in Pediatric TSC Patients

Alireza Akhondi-Asl1, Arne Hans1, Benoit Scherrer2, Jurriaan M. Peters2, Simon K. Warfield2

1Computational Radiology Laboratory,, Children's Hospital, Harvard medical school, Boston, MA, United States; 2Computational Radiology Laboratory,, Children's Hospital, Harvard medical school, Boston, MA, United States

 

Keywords

abnormalities analyze applied assure automatically axial band bibliography brain carried children clustering coefficient complex computational connection connectivity consistent construct construction controls corrected correlation correlations cortical counted dataset datasets deep deficits delay developmental disorder epilepsy filtered finally finding frequencies full functional fusion generated genes graph half head hospital impact investigate kernel knowledge label laboratory lancet larger limited linear long major mason matched materials matrix measures medical medicine model motion network networks neurological neurophysiology observations overall pass patients pediatric permutation permutations peters previously processed processing psychological quadratic radiology random randomly ranging reduced registered registration regression removed reported rescaled resting retaining rigid scanner school sclerosis segmentation segmented segregation series several slice smoothed spatially statistical steps strength structural structures studies subject subjects symptoms table tracts transitivity trends tuberous utilized ventricles volume volumes white whole width years