Skip to main navigation Skip to search Skip to main content

Influence of ROI selection on resting functional connectivity: An individualized approach for resting fMRI analysis

  • William S. Sohn
  • , Kwangsun Yoo
  • , Young Beom Lee
  • , Sang W. Seo
  • , Duk L. Na
  • , Yong Jeong
  • Korea Advanced Institute of Science and Technology
  • Sungkyunkwan University

Research output: Contribution to journalArticlepeer-review

Abstract

The differences in how our brain is connected are often thought to reflect the differences in our individual personalities and cognitive abilities. Individual differences in brain connectivity has long been recognized in the neuroscience community however it has yet to manifest itself in the methodology of resting state analysis. This is evident as previous studies use the same region of interest (ROIs) for all subjects. In this paper we demonstrate that the use of ROIs which are standardized across individuals leads to inaccurate calculations of functional connectivity. We also show that this problem can be addressed by taking an individualized approach by using subject-specific ROIs. Finally we show that ROI selection can affect the way we interpret our data by showing different changes in functional connectivity with ageing.

Original languageEnglish
Article number280
JournalFrontiers in Neuroscience
Volume9
Issue numberJUL
DOIs
StatePublished - 2015

Keywords

  • Ageing
  • Graph theory
  • Individual variability
  • Resting state fMRI
  • Subject-specific ROIs

Fingerprint

Dive into the research topics of 'Influence of ROI selection on resting functional connectivity: An individualized approach for resting fMRI analysis'. Together they form a unique fingerprint.

Cite this