Meeting Banner
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.

This abstract and the presentation materials are available to members only; a login is required.

Join Here