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The effect of preprocessing in dynamic functional network connectivity used to classify mild traumatic brain injury.

Victor M VergaraAndrew R MayerEswar DamarajuVince D Calhoun
Published in: Brain and behavior (2017)
The sequence of preprocessing steps motion regression, smoothing, gICA, and despiking produced data most suitable for differentiating mTBI from healthy subjects. However, the selection of optimal preprocessing parameters strongly affected the final results.
Keyphrases
  • mild traumatic brain injury
  • electronic health record
  • resting state
  • functional connectivity
  • big data
  • high speed
  • contrast enhanced
  • magnetic resonance