Hi,
I have some questions need help. I download the lifespan dataset from ConnectomeDB database. Then, I used Pipelines-3.10.0 script to preprocessing those data. After preprocessing, I used workbench-command [wb_command -cifti-parcellate rfMRI_REST1_LR_Atlas_hp2000_clean.dtseries.nii *.LR.dlabel.nii COLUMN cortical.ptseries.nii] to get subjects' time-course data(rfMRI_REST1_LR_Atlas_hp2000_clean.dtseries.nii). Each time-course data is a matrix, such as a 104×420 matrix. 104 represents there are 104 labels, and 420 represents 420 time points. Now, I have two question? First, In the SPM pipeline of fMRI preprocessing, we need to exclude the first 10 time points of the time-course data. Should I exclude the first 10 time points of the lifespan data? Second, I found that the numerical value in 104×420 time-course matrix almostly 10^5, following is a one label,420 time points time-course data. Does the numerical value of time course data is correct. Does there need any transform, such as use the function of log10 to process those data. 116691173011805118451179811791116921164711687117291176711788117741174711755117471178611816118031178511817117491174211809117851174311826118421183311886117991180011747117811174911787117801181411774118101178211841118631178311779118581184011892118681189911865118611186011826117731176911696116941175711758117191179311724117731172411802118311181311794117971174111792117471172711817117911178311813117981177011783117541177211741117791180611740117731173811729117521179611816117541178111789118101182411830118351177111810117371179511772117731190811819117391173311758117501173111781117251176011758117441175311728116821174311736117791180911823118831178411807118401188611856118001174211731116931171111721117361180011805116561168611754117791175311726117341176811810118411173711759118491185711776117461176411758117771178611850117411173411761117861171311782117591171611733117301179011709117341178611784118131176211788117131173811758117931177111816117921180611836118221187211892118871187111898118701183411882118171180811785118021181911781117631176411715117411178011746117551169811679117311174911782117691175511709116191170711707117441174311739117611172711688117131172011781117871179411744117601177111715117591168611676117411175911709117721177611792117881175711700117071170611718117471176611787117871170011803117591180311808117611173711717117471172511780117711180011806118301179911746117241169911767117731185111810119011188411902119591185811855118491185711838117321176311747117231172211746116811168511692117351181411773117831177711848118221177111763117931185611820118361188411858117541174911738117601179111827117511172011751117481179511794118441188411856118331191311792117961177111737117081174111736118061181011809117971184911882119061186311816117791182311843118071182011722117351177011730116911174011689117531174511776118411179911855118261175411799118001180311859118851179511790116941162811706117951179711797117951178911807117601169911734117181170711663116921175411801117241179111764117921182811798118081185811820118051178411860118121188211861119401189511820118381179711691116701169611676116691172411741117081171611757 _______________________________________________ HCP-Users mailing list [email protected] http://lists.humanconnectome.org/mailman/listinfo/hcp-users
