Selective detrending method for reducing task-correlated motion artifact during speech in event-related FMRI.
Task-correlated motion artifacts that occur during functional magnetic resonance imaging can be mistaken for brain activity. In this work, a new selective detrending method for reduction of artifacts associated with task-correlated motion (TCM) during speech in event-related functional magnetic resonance imaging is introduced and demonstrated in an overt word generation paradigm. The performance of this new method is compared with that of three existing methods for reducing artifacts because of TCM: (1) motion parameter regression, (2) ignoring images during speech, and (3) detrending time course datasets of signal components related to TCM (deduced from artifact corrupted voxels). The selective detrending method outperforms the other three methods in reducing TCM artifacts and in retaining blood oxygenation level dependent signal.
Gopinath
Kaundinya
K
Department of Radiology, UT Southwestern Medical Center, Dallas, Texas 753908896, USA. kaundinya.gopinath@utsouthwestern.edu
Crosson
Bruce
B
McGregor
Keith
K
Peck
Kyung
K
Chang
Yu-Ling
YL
Moore
Anna
A
Sherod
Megan
M
Cavanagh
Christy
C
Wabnitz
Ashley
A
Wierenga
Christina
C
White
Keith
K
Cheshkov
Sergey
S
Krishnamurthy
Venkatagiri
V
Briggs
Richard W
RW
D000465:Algorithms; D016477:Artifacts; D001921:Brain / Q000098:blood supply*; D001931:Brain Mapping; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods; D008279:Magnetic Resonance Imaging; D008297:Male; D008875:Middle Aged; D009038:Motion; D010100:Oxygen / Q000097:blood; D012044:Regression Analysis; D012815:Signal Processing, Computer-Assisted; D013060:Speech / Q000502:physiology*
D010100:Oxygen