Applicability of the Sparse Temporal Acquisition Technique in Resting-State Brain Network Analysis.

ABSTRACT:

Background and purpose

The ability of sparse temporal acquisition to minimize the effect of scanner background noise is of utmost importance in auditory fMRI; however, it has considerably lower temporal efficiency and resolution than the conventional continuous acquisition method. The purpose of this study was to determine whether sparse sampling could be applied to resting-state research by comparing its results with those obtained by using continuous acquisition.

Materials and methods

We identified resting-state networks by using independent component analysis and measured their functional connectivity strength in 14 healthy subjects who underwent two 6-minute sparse (60 volumes) and continuous (360 volumes) imaging sessions. To account for the sample size difference, an a

SUBMITTER: Yakunina N 

PROVIDER: S-EPMC7960128 | biostudies-literature | 2016 Mar

REPOSITORIES: biostudies-literature