Literature DB >> 24419985

Noncontrast mapping of arterial delay and functional connectivity using resting-state functional MRI: a study in Moyamoya patients.

Thomas Christen1, Hesamoddin Jahanian, Wendy W Ni, Deqiang Qiu, Michael E Moseley, Greg Zaharchuk.   

Abstract

PURPOSE: To investigate if delays in resting-state spontaneous fluctuations of the BOLD (sfBOLD) signal can be used to create maps similar to time-to-maximum of the residue function (Tmax) in Moyamoya patients and to determine whether sfBOLD delays affect the results of brain connectivity mapping.
MATERIALS AND METHODS: Ten patients were scanned at 3 Tesla using a gradient-echo echo planar imaging sequence for sfBOLD imaging. Cross correlation analysis was performed between each brain voxel signal and a reference signal comprised of either the superior sagittal sinus (SSS) or whole brain (WB) average time course. sfBOLD delay maps were created based on the time shift necessary to maximize the correlation coefficient, and compared with dynamic susceptibility contrast Tmax maps. Standard and time-shifted resting-state BOLD connectivity analyses of the default mode network were compared.
RESULTS: Good linear correlations were found between sfBOLD delays and Tmax using the SSS as reference (r(2)  = 0.8, slope = 1.4, intercept = -4.6) or WB (r(2)  = 0.7, slope = 0.8, intercept = -3.2). New nodes of connectivity were found in delayed regions when accounting for delays in the analysis.
CONCLUSION: Resting-state sfBOLD imaging can create delay maps similar to Tmax maps without the use of contrast agents in Moyamoya patients. Accounting for these delays may affect the results of functional connectivity maps.
© 2014 Wiley Periodicals, Inc.

Entities:  

Keywords:  BOLD contrast; MRI; Moyamoya disease; functional connectivity; perfusion; resting-state fMRI

Mesh:

Substances:

Year:  2014        PMID: 24419985      PMCID: PMC4096618          DOI: 10.1002/jmri.24558

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


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