Low-motion fMRI data can be obtained in pediatric participants undergoing a 60-minute scan protocol

Corey Horien1,2,3, Scuddy Fontenelle4, Kohrissa Joseph4

  • 1Interdepartmental Neuroscience Program, Yale School of Medicine, New Haven, CT, USA. corey.horien@yale.edu.

Scientific Reports
|December 15, 2020
PubMed

Insights

A mock scan, weighted blanket, and incentive system significantly reduce head motion during functional magnetic resonance imaging (fMRI) scans in children. This allows for high-quality, long fMRI scans in pediatric populations, including those with autism spectrum disorder.

Area of Science:

  • Neuroimaging
  • Pediatric Neuroscience
  • Brain Imaging Techniques

Background:

  • Head motion is a major challenge in pediatric functional magnetic resonance imaging (fMRI), confounding connectivity analyses.
  • Shortening MRI protocols to reduce motion compromises data reliability and quantity.
  • There is a critical need for methods to acquire high-quality, low-motion fMRI data in children without sacrificing data volume.

Purpose of the Study:

  • To evaluate the effectiveness of a multi-component strategy for reducing motion during pediatric fMRI scans.
  • To demonstrate the feasibility of obtaining high-quality, low-motion data during extended (60-minute) fMRI sessions in children.
  • To assess the generalizability of motion reduction techniques in a replication group including children with autism spectrum disorder.

Main Methods:

  • Implementation of a mock scan protocol before the actual fMRI scan.
  • Utilization of in-scan techniques including a weighted blanket and an incentive system.
  • fMRI data acquisition in pediatric participants (ages 7-17) and a replication group including individuals with autism spectrum disorder.

Main Results:

  • The combined strategy of mock scanning, weighted blanket, and incentive system successfully achieved low head motion during 60-minute fMRI scans in pediatric participants.
  • Low motion levels were replicated in a separate group of participants, including those with autism spectrum disorder.
  • The findings indicate the successful acquisition of high-quality fMRI data despite challenges associated with scanning pediatric populations.

Conclusions:

  • A mock scan protocol, coupled with in-scan interventions, is effective in minimizing motion artifacts in pediatric fMRI.
  • Extended fMRI scan durations are feasible in difficult-to-scan populations, including children and individuals with autism spectrum disorder.
  • This approach enhances the potential for obtaining more reliable and robust fMRI findings in pediatric neuroimaging research.