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Presurgical resting-state functional MRI language mapping with seed selection guided by regional homogeneity.

Ai-Ling HsuHenry Szu-Meng ChenPing HouChangwei W WuJason M JohnsonKyle R NollSujit S PrabhuSherise D FergusonVinodh A KumarDonald F SchomerJyh-Horng ChenHo-Ling Liu
Published in: Magnetic resonance in medicine (2019)
The proposed RH+MA approach outperformed the canonical and task-based seed localization for rs-FMRI language mapping. The results suggest that RH+MA is a robust and feasible method for seed-based functional connectivity mapping in clinical practice.
Keyphrases
  • resting state
  • functional connectivity
  • high resolution
  • high density
  • clinical practice
  • autism spectrum disorder
  • contrast enhanced
  • mass spectrometry