Personalized Large-scale Functional Networks in the Adolescent Brain Cognitive Development (ABCD) Children

Data for our paper "Personalized Large-scale Functional Networks in ABCD Children: Linking Functional Network Topography with Socioeconomic Status".
This dataset contains personalized functional networks for 3,921 participants (age 9- and 10-year-olds) who had more than 20 min of high-quality (mean motion < 0.2mm) resting-state fMRI data from the Adolescent Brain Cognitive Development (ABCD) Study.
Using regularized non-negative matrix factorization (NMF) and preprocessed resting-state fMRI data from the ABCD-BIDS Community Collection (https://github.com/ABCD-STUDY/nda-abcd-collection-3165, NDA Collection 3165), we parcellated the cortex (fsLR_32k space) into 17 functional networks for each ABCD participant.
We provided two kinds of atlas data: discrete network parcellation (IndivAtlasLabel) and probabilistic network parcellation (IndivAtlasLoading). For discrete network parcellation, each value in the dscalar indicates which network this vertex belongs to; for probabilistic network parcellation, each value indicates the probability that this vertex belongs to each network (17 in total). We also provided group atlas label and atlas loading for comparison.
For dscalars contain individual atlas loading, we separated participants into 10 parts, each has nearly 400 individuals for easily uploading and downloading.
Each value corresponds with the following key for discrete network parcellation: 1=FP1, 2=AU, 3=VS1, 4=DM1, 5=DA, 6=DM2, 7=DA2, 8=DM3, 9=VS2, 10=SM1, 11=TMP, 12=LB 13=VA1, 14=FP2, 15=SM2, 16=SM3, 17=DA3 (VS: visual; AU: auditory; SM: somatomotor; VA: ventral attention; DA: dorsal attention; FP: fronto-parietal; DM: default mode; TM: temporo-parietal; LB: limbic).
For each participant, we provide his or her subject-key in the ABCD Study. Other related information can be found at https://wiki.abcdstudy.org.
Relevant analysis scripts can be found in https://github.com/CuiLabCIBR/SingleFuncParcel_ABCD.