head_motion

pediatric head motion characterization and analysis

dataset

• Data from the Healthy Brain Network biobank (HBN) were used for all analyses (N=1388).

• http://fcon_1000.projects.nitrc.org/indi/cmi_healthy_brain_network/

  Alexander LM, Escalera J, Ai L, Andreotti C, Febre K, Mangone A, et al.
  An open resource for transdiagnostic research in pediatric mental health and learning disorders. Sci Data. 2017;4: 1–26.
  doi:10.1038/sdata.2017.181

• Note: In this release, MCFLIRT .par files and HBN demographic and behavioural data are not included as per our data usage agreement.

• Subject lists:

• • HBN-1388: ~\data\subjectList_hbn1388.txt
• • HBN-865: ~\data\subjectList_hbn865.txt

preprocessing

Run hm_import.m then hm_preprocess.m to generate data structures

1: hm_import.m

• Import all MCFLIRT .par files into MATLAB structure "hm_data"
• Import behavioural and demographic data from COINS into "hm_data"

2: hm_prepreocess.m

• calculate FD, mean FD, and composition of FD
• generate motion cohort indices
• FD calculated as in:

  Power JD, Barnes KA, Snyder AZ, Schlaggar BL, Petersen SE.
  Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion. NeuroImage. 2012;59: 2142–2154.
  doi:10.1016/j.neuroimage.2011.10.018

hm_fft.m

• calculates the spectral power of raw displacement data
• used in fig_frequency.m
• closely follows:

  Fair DA, Miranda-Dominguez O, Snyder AZ, Perrone A, Earl EA, Van AN, et al.
  Correction of respiratory artifacts in MRI head motion estimates. NeuroImage. 2020;208: 116400.
  doi:10.1016/j.neuroimage.2019.116400

analyses

The remaining scripts visualize or export data for further analysis in PRISM

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Naturalistic Neuroimaging Lab
BC Children's Research Institute
University of British Columbia
https://www.headspacestudios.org/