TY - JOUR
T1 - Robust EMG-fMRI artifact reduction for motion (FARM)
AU - van der Meer, J.N.
AU - Tijssen, M.A.J.
AU - Bour, L.J.
AU - van Rootselaar, A.F.
AU - Nederveen, A.J.
PY - 2010/5/1
Y1 - 2010/5/1
N2 - Objective: Current template-based artifact reduction methods are inadequate to reduce irregular volume- and slice-artifacts induced by limb motion in combined (surface) EMG-fMRI (electromyography-functional magnetic resonance imaging) studies. In addition, artifacts are not removed adequately for EMG frequencies above 50 Hz. We present a new fMRI artifact reduction algorithm for motion (FARM) and compare it with standard artifact correction as implemented in fMRI artifact slice-template removal (FASTR). Methods: One control subject generated motion artifacts during EMG-fMRI. Low-frequency motion artifacts and volume-artifacts were removed prior to slice-artifact correction. Slice-artifacts were phase-shifted and removed with motion adaptive templates (FARM). EMG data were also corrected applying FASTR. Results: Time traces demonstrate that artifacts related to sudden changes in wire position are contained to shorter time periods. EMG power spectra from neck and arm muscles show that FARM has improved performance at higher frequencies. Conclusions: High-pass filtering, volume-artifact removal, phase-shifting and adaptation of slice-templates to motion improve the quality of artifact-corrected EMG recorded during limb motion. Significance: The improved accuracy at which EMG-fMRI data can be obtained opens up new ways to directly relate self-paced movements to brain activations and to study patients suffering from movement disorders.
AB - Objective: Current template-based artifact reduction methods are inadequate to reduce irregular volume- and slice-artifacts induced by limb motion in combined (surface) EMG-fMRI (electromyography-functional magnetic resonance imaging) studies. In addition, artifacts are not removed adequately for EMG frequencies above 50 Hz. We present a new fMRI artifact reduction algorithm for motion (FARM) and compare it with standard artifact correction as implemented in fMRI artifact slice-template removal (FASTR). Methods: One control subject generated motion artifacts during EMG-fMRI. Low-frequency motion artifacts and volume-artifacts were removed prior to slice-artifact correction. Slice-artifacts were phase-shifted and removed with motion adaptive templates (FARM). EMG data were also corrected applying FASTR. Results: Time traces demonstrate that artifacts related to sudden changes in wire position are contained to shorter time periods. EMG power spectra from neck and arm muscles show that FARM has improved performance at higher frequencies. Conclusions: High-pass filtering, volume-artifact removal, phase-shifting and adaptation of slice-templates to motion improve the quality of artifact-corrected EMG recorded during limb motion. Significance: The improved accuracy at which EMG-fMRI data can be obtained opens up new ways to directly relate self-paced movements to brain activations and to study patients suffering from movement disorders.
KW - Artifact reduction
KW - Co-registered EMG-fMRI
KW - Movement artifact
UR - http://www.scopus.com/inward/record.url?scp=77949914291&partnerID=8YFLogxK
U2 - 10.1016/j.clinph.2009.12.035
DO - 10.1016/j.clinph.2009.12.035
M3 - Article
C2 - 20117046
AN - SCOPUS:77949914291
SN - 1388-2457
VL - 121
SP - 766
EP - 776
JO - Clinical neurophysiology
JF - Clinical neurophysiology
IS - 5
ER -