Abstract #3921
A Quantitative Analysis of fMRI Induced Phase Changes Using Averaged-BOSS (A-BOSS)
Mahdi Khajehim 1 , Abbas Nasiraei Moghaddam 1,2 , Gholam-Ali Hossein-Zadeh 2,3 , Thomas Martin 4 , and Danny JJ Wang 4
1
BME, Amirkabir University of Technology
(Tehran Polytechnic), Tehran, Tehran, Iran,
2
School
of Cognitive Sciences, Institute for Research in
Fundamental Sciences (IPM), Tehran, Iran,
3
ECE,
University of Tehran, Tehran, Tehran, Iran,
4
Neurology,
UCLA, Los Angeles, CA, United States
Generally magnitude data is used in BOLD fMRI for
detecting activation. By using a recently introduced
steady state fMRI sequence called A-BOSS, phase changes
can be reliably detected and quantified. A-BOSS has
several advantages over BOSS: Its spatial coverage is
not limited and the contribution of phase is not
dependent on the center frequency position. Our
preliminary data showed that 1) a considerable number of
voxels showed phase activation (42% of total activated
voxels) which could not be detected just based on
magnitude data; 2) on average 0.07 radian phase change
due to task activation which is consistent with Bloch
equation simulation.
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