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

Frontiers in Neuroscience
William S SohnYong Jeong

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.

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Citations

Nov 10, 2015·Nature Neuroscience·Danhong WangHesheng Liu
May 6, 2016·Frontiers in Psychiatry·Rafael O'HalloranSophia Frangou
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Apr 21, 2021·NeuroImage·Jiyeon LeeUNKNOWN and  the Alzheimer’s Disease Neuroimaging Initiative

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Software Mentioned

Matlab
FMRIB Software Library
Brain Extraction Tool ( BET )
FSL
ICA
BrainNet
Pajek Program for
FLIRT FMRIB Linear Image Registration Tool
FEAT
Multivariate Exploratory Linear Optimized Decomposition into I...

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