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Code is used as followed:

  • Applying saCPM to Resting state to get predictive network strength --> applysaCPMtoABCD.m
  • Create randomnetwork based on size of saCPM network --> randomnetwork.m
  • Shuffling Random Network to test for spatial randomization --> shuffleRandNetowrk.m
  • Applying the shuffled random network to get predicitve network strength from random network --> applyRandomNetwork.m
  • Cleaning ABCD demographic and behavioral data --> datacleanforBPPCA.R
  • Running associations between behavior and exposome measures --> crosssectional-behavioronly_final.R
  • Running associations between saCPM and behavior --> crosssectional-imaging.R
  • Running associations between saCPM and exposome --> saCPMexposomeRegression.R
  • Testing the difference between behavior -only and imaging data --> StatsFromMethods.R
  • Running longitudinal associations --> longitudinalAssociations.R
  • Seperating resting-state data into networks and getting Network FC --> networkanalysis.m
  • Testing associations between Network FC and exposome/behavior --> networkRegression-exposome.R
  • Running stasticial mediation models ---> crosssectional-Mediation.R

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This project was focused on understanding the interactions between multidimensional environmental exposures, attention-related brain networks, and attention problems in youth in the ABCD Study.

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