Meeting Banner
Abstract #3348

Effects of Chest Motion and Respiratory Pressure Wave in the Brain Investigated Using High Spatial Resolution fMRI at 7 Tesla

Marta Bianciardi1, Karleyton C. Evans2, Jonathan R. Polimeni3, Tian Y. Song2, Boris Keil3, Christina Triantafyllou3, Bruce R. Rosen3, David A. Boas3, Lawrence L. Wald3

1Department of Radiology, A.A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, United States; 2Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, United States; 3Department of Radiology, A.A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, United States

Respiration generates fMRI signal instability in the brain by different mechanisms, including chest motion, and pulsatile motion of blood/CSF due to respiratory-pressure-wave. We investigated the relative contribution of these effects, their spatial distribution, and the performance of different correction methods by acquiring whole-brain high-spatial-resolution magnitude and phase fMRI resting-state data at 7Tesla. Our results indicate that the major sources of respiratory-related signal instability are: chest motion in phase-data, and pulsatile motion in magnitude-data. Optimized correction of respiratory effects in both magnitude- and phase-data was achieved by combining RETROICOR with a method for estimating off-resonance changes in phase-data.

Abstract PDF Presentation Video

Keywords

acceleration according acquisition adjusted airway amplitude approved arterial attenuated axial background bellow biomedical blood bold brain bulk cardiac caused chest coil combined component comprehensive computed constitute contribute contribution converted correct correction correlated courses decrease decreasing degrees dependence design deviation distinct distribution either equal especially expected explained field finger fitted flow fluctuations fractional freedom frequency full function general generates highly hospital important instability investigated longer lungs magnitude mainly major matrix measured mechanisms medical meeting might model modeled monitored motion mouth negligible noise nominal orientation particular performance physiological piece piezoelectric polynomial polynomials portion precise pressure procedures produce produces profiles prospective psychiatry pulsation pulse radiology receive recorded recordings regressors related removed repetition resolution respectively respiration respiratory resting sampling school sensor several simulations slice slices smaller song source space spatial static still strong subject subjects subtracted suggest susceptibility temporal thin traveling variance variation variations varied varies venous ventricles vessels visible wave waves whereas whole wraps