title: Influence of ROI selection on resting state functional connectivity: an individualized approach for resting state fMRI analysis.
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 aging.
authors: Department of Bio and Brain Engineering, KAIST Daejeon, South Korea.
authors: William S
authors: WS
authors: Sohn
authors: Department of Bio and Brain Engineering, KAIST Daejeon, South Korea.
authors: Kwangsun
authors: K
authors: Yoo
authors: Department of Bio and Brain Engineering, KAIST Daejeon, South Korea.
authors: Young-Beom
authors: YB
authors: Lee
authors: Department of Neurology, Samsung Medical Center, Sungkyunkwan University Seoul, South Korea ; Neuroscience Center, Samsung Medical Center Seoul, South Korea.
authors: Sang W
authors: SW
authors: Seo
authors: Department of Neurology, Samsung Medical Center, Sungkyunkwan University Seoul, South Korea ; Neuroscience Center, Samsung Medical Center Seoul, South Korea.
authors: Duk L
authors: DL
authors: Na
authors: Department of Bio and Brain Engineering, KAIST Daejeon, South Korea.
authors: Yong
authors: Y
authors: Jeong
keywords: aging; graph theory; individual variability; resting state fMRI; subject-specific ROIs