Model-based attenuation of movement artifacts in fMRI

Journal of Neuroscience Methods

Volumn 192, Issue 1, 2010, Pages 58-69

  Lemmin, T ^a,b   Ganesh, G ^b,c   Gassert, R ^a,d   Burdet, E ^c   Kawato, M ^b   Haruno, M ^b  

^a EPFL   (Switzerland)

^b ADVANCED TELECOMMUNICATIONS RESEARCH INSTITUTE INTERNATIONAL   (Japan)

^c IMPERIAL COLLEGE LONDON   (United Kingdom)

^d ETH ZURICH   (Switzerland)

Author keywords

FMRI; General linear model; Movement artifacts; SPM

Indexed keywords

ADULT; ALGORITHM; ARM; ARM MOVEMENT; ARTICLE; ARTIFACT; ATTENUATION; BRAIN; BRAIN SCINTISCANNING; EXPERIMENTAL DESIGN; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HEAD MOVEMENT; HUMAN; HUMAN EXPERIMENT; INFORMATION; KINEMATICS; LEG MOVEMENT; MAGNETIC FIELD; MALE; MOTION; NORMAL HUMAN; PRIORITY JOURNAL; SPACE; VOLUNTARY MOVEMENT;

ADULT; ALGORITHMS; ARTIFACTS; BRAIN; BRAIN MAPPING; FALSE POSITIVE REACTIONS; HEAD MOVEMENTS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; IMAGINATION; MAGNETIC RESONANCE IMAGING; MOVEMENT; OXYGEN; UPPER EXTREMITY; YOUNG ADULT;

EID: 77956227167     PISSN: 01650270     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jneumeth.2010.07.013     Document Type: Article

References (34)

1. Abend W., Bizzi E., Morasso P. Human trajectory formation. Brain 1982, 105(2):331-348.
2. Amaro E., Barker G.J. Study design in fMRI: basic principles. Brain Cogn 2006, 60(3):220-232.
3. Birn R., Cox R., Bandettini P. Experimental designs and processing strategies for fMRI studies involving overt verbal responses. NeuroImage 2004, 23:1046-1058.
4. Burdet E., Osu R., Franklin D.W., Milner T.E., Kawato M. The central nervous system stabilizes unstable dynamics by learning optimal impedance. Nature 2001, 414:446-449.
5. Bursztyn L., Ganesh G., Imamizu H., Kawato M., Flanagan R. Neural correlates of internal-model loading. Curr Biol 2006, 16:2440-2445.
6. Diedrichsen J., Shadmehr R. Detecting and adjusting for artifacts in fMRI time series data. NeuroImage 2005, 27(3):624-634.
7. Diedrichsen J., Hashambhoy Y., Rane T., Shadmehr R. Neural correlates of reach errors. J Neurosci 2005, 25(43):9919-9931.
8. Dold C., Zaitsev M., Speck O., Firle E.A., Hennig J., Sakas G. Prospective head motion compensation for MRI by updating the gradients and radio frequency during data acquisition. Proc Int Conf Med Image Comput Comput Assist Interv 2005, 8(1):482-489.
9. Dold C., Zaitsev M., Speck O., Firle E.A., Hennig J., Sakas G. Advantages and limitations of prospective head motion compensation for MRI using an optical motion tracking device. Acad Radiol 2006, 13(9):1093-1103.
10. Franklin D.W., Burdet E., Tee K.P., Osu R., Chew C.M., Milner T.E., et al. CNS learns stable, accurate, and efficient movements using a simple algorithm. J Neurosci 2008, 28(44):11165-11173.
11. Freire L., Mangin J.F. Motion correction algorithms may create spurious brain activations in the absence of subject motion. NeuroImage 2001, 14(3):709-722.
12. Friston K., Williams S., Howard R., Frackowiak R., Turner R. Movement-related effects in fMRI time-series. Magn Reson Med 1996, 35:346-355.
13. Ganesh G., Franklin D.W., Gassert R., Imamizu H., Kawato M. Accurate real-time feedback of surface EMG during fMRI. J Neurophysiol 2007, 97(1):912-920.
14. Gassert R., Moser R., Burdet E., Bleuler H. An MRI/fMRI compatible robotic system with force-feedback for interaction with human motion. IEEE/ASME Trans Mech 2006, 11(2):216-224.
15. Gassert R., Dovat L., Lambercy O., Ruffieux Y., Chapuis D., Ganesh G., et al. A 2-DOF fMRI compatible haptic interface to interact with arm movements. Proc. IEEE international conference on robotics and automation (ICRA) 2006, 3825-3831.
16. Gomi H., Kawato M. Equilibrium-point control hypothesis examined by measured arm stiffness during multi-joint movement. Science 1996, 272:117-120.
17. Grootoonk S., Hutton C., Ashburner J., Howseman A.M., Rees J.O., Friston K.J., et al. Characterization and correction of interpolation effects in the realignment of fMRI time series. NeuroImage 2000, 11:49-57.
18. Hanakawa T., Honda M., Zito G., Dimyan M.A., Hallett M. Brain activity during visuomotor behavior triggered by arbitrary and spatially constrained cues: an fMRI study in humans. Exp Brain Res 2006, 172(2):275-282.
19. Hickok G. Functional brain imaging. MIT encyclopedia of communication disorders 2003.
20. Huang J., Francis C., Carr T.H. Studying overt word reading and speech production with event-related fMRI: a method for detecting, assessing and correction articulation induces signal changes and for measuring onset time and duration of articulation. Brain Language 2008, 104(1):10-23.
21. Kent R. The speech sciences 1997, Singular Publishing Group, Inc., San Diego.
22. Kim B., Boes J.L., Bland P.H., Chenevert T.L., Meyer C.R. Motion correction in fMRI via registration of individual slices into an anatomical volume. Magn Reson Med 1999, 41:964-972.
23. Lee C.C., Grimm R.C., Manduca A., Felmlee J.P., Ehman R.L., Riederer S.J., et al. A prospective approach to correct for inter-image head rotation in fMRI. MRM 1996, 39:234-243.
24. Muresan L., Renken R., Roerdink J., Duifhuis H. Automated correction of spin-history related motion artefacts in fMRI: simulated and phantom data. IEEE Trans Biomed Eng 2005, 52:1450-1460.
25. Mussa-Ivaldi F.A., Hogan N., Bizzi E. Neural, mechanical and geometric factors subserving arm postures in humans. J Neurosci 1985, 5(10):2732-2743.
26. Robson M.D., Gatenby J.C., Anderson A.W., Gore J.C. Practical considerations when correcting for movement-related effects present in fMRI time-series. Proc. ISMRM 5th annual meeting 1997, 1681.
27. Shadmehr R., Mussa-Ivaldi F.A. Adaptive representation of dynamics during learning of a motor task. J Neurosci 1994, 14:3208-3224.
28. Speck O., Hennig J., Zaitsev M. Prospective real-time slice-by-slice motion correction for fMRI in freely moving subjects. MAGMA 2006, 19(2):55-61.
29. Steger T.R., Jackson E.F. Real-time motion detection of functional fMRI data. J Appl Clin Med Phys 2004, 5(2):64-70.
30. Thesen S., Heid O., Schad L.R. Prospective acquisition correction for head motion with image-based tracking for real-time fMRI. Magn Reson Med 2000, 44:457-465.
31. Tunik E., Schmitt P.J., Grafton S.T. BOLD coherence reveals segregated functional neural interactions when adapting to distinct torque perturbations. J Neurophysiol 2007, 97(3):2107-2120.
32. Ward H.A., Riederer S.J., Grimm R.C., Ehman R.L., Felmlee J.P., Clifford R.J. Prospective multiaxial motion correction for fMRI. Magn Reson Med 2000, 43:459-469.
33. Woodworth R.S. The accuracy of voluntary movement. Psychol Rev 1899, 3:1-119.
34. Zaitsev M., Dold C., Sakas G., Hennig J., Speck O. Magnetic resonance imaging of freely moving objects: prospective real-time motion correction using an external optical motion tracking system. NeuroImage 2006, 31(3):1038-1050.