RESCALE: Voxel-specific task-fMRI scaling using resting state fluctuation amplitude

NeuroImage

Volumn 70, Issue , 2013, Pages 80-88

  Kalcher, Klaudius ^a,b   Boubela, Roland N ^a,b   Huf, Wolfgang ^a,b,c   Biswal, Bharat B ^d   Baldinger, Pia ^c   Sailer, Uta ^e   Filzmoser, Peter ^b   Kasper, Siegfried ^c   Lamm, Claus ^e   Lanzenberger, Rupert ^c   Moser, Ewald ^a   Windischberger, Christian ^a  

^a Christian Doppler Laboratory for Innovative Optical Imaging and its Translation to Medicine   (Austria)

^b VIENNA UNIVERSITY OF TECHNOLOGY   (Austria)

^c MEDICAL UNIVERSITY OF VIENNA   (Austria)

^d RUTGERS NEW JERSEY MEDICAL SCHOOL   (United States)

^e UNIVERSITY OF VIENNA   (Austria)

Author keywords

FALFF; Functional magnetic resonance imaging; Resting state; Scaling

Indexed keywords

ADULT; ARTICLE; BRAIN CORTEX; CONTROLLED STUDY; FEMALE; FRACTIONAL AMPLITUDE OF LOW FREQUENCY FLUCTUATION; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; HUMAN EXPERIMENT; MALE; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; MOTOR CORTEX; NERVOUS SYSTEM PARAMETERS; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE SCANNER; PRIORITY JOURNAL; RESTING STATE BASED SCALING OF PARAMETER ESTIMATE; RESTING STATE FLUCTUATION AMPLITUDE; TASK PERFORMANCE; VISUAL CORTEX; VISUOMOTOR COORDINATION;

FEMALE; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; MOTOR CORTEX; TASK PERFORMANCE AND ANALYSIS; VISUAL CORTEX; YOUNG ADULT;

EID: 84872314589     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2012.12.019     Document Type: Article

References (31)

1. Baria A.T., Baliki M.N., Parrish T., Apkarian A.V. Anatomical and functional assemblies of brain BOLD oscillations. J. Neurosci. 2011, 31(21):7910-7919. (May).
2. Biswal B.B., Kannurpatti S.S., Rypma B. Hemodynamic scaling of fMRI-BOLD signal: validation of low-frequency spectral amplitude as a scalability factor. Magn. Reson. Imaging 2007, 25(10):1358-1369. (Dec).
3. Biswal B.B., Mennes M., Zuo X.-N., Gohel S., Kelly C., Smith S.M., Beckmann C.F., Adelstein J.S., Buckner R.L., Colcombe S., Dogonowski A.-M., Ernst M., Fair D., Hampson M., Hoptman M.J., Hyde J.S., Kiviniemi V.J., Kötter R., Li S.-J., Lin C.-P., Lowe M.J., Mackay C., Madden D.J., Madsen K.H., Margulies D.S., Mayberg H.S., McMahon K., Monk C.S., Mostofsky S.H., Nagel B.J., Pekar J.J., Peltier S.J., Petersen S.E., Riedl V., Rombouts S.A.R.B., Rypma B., Schlaggar B.L., Schmidt S., Seidler R.D., Siegle G.J., Sorg C., Teng G.-J., Veijola J., Villringer A., Walter M., Wang L., Weng X.-C., Whitfield-Gabrieli S., Williamson P., Windischberger C., Zang Y.-F., Zhang H.-Y., Castellanos F.X., Milham M.P. Toward discovery science of human brain function. Proc. Natl. Acad. Sci. U. S. A. 2010, 107(10):4734-4739. (Mar).
4. Boubela R.N., Huf W., Kalcher K., Sladky R., Filzmoser P., Pezawas L., Kasper S., Windischberger C., Moser E. A highly parallelized framework for computationally intensive MR data analysis. Magn. Reson. Mater. Phys. 2012, 25(4):313-320. (Aug).
5. Cox R.W. AFNI: software for analysis and visualization of functional magnetic resonance neuroimages. Comput. Biomed. Res. 1996, 29(3):162-173. (Jun).
6. Di X., Kannurpatti S.S., Rypma B., Biswal B.B. Calibrating BOLD fMRI activations with neurovascular and anatomical constraints. Cereb. Cortex 2012, (Feb, e-pub ahead of print).
7. Duff E.P., Johnston L.A., Xiong J., Fox P.T., Mareels I., Egan G.F. The power of spectral density analysis for mapping endogenous BOLD signal fluctuations. Hum. Brain Mapp. 2008, 29(7):778-790. (Jul).
8. Haacke E.M., Cheng N.Y.C., House M.J., Liu Q., Neelavalli J., Ogg R.J., Khan A., Ayaz M., Kirsch W., Obenaus A. Imaging iron stores in the brain using magnetic resonance imaging. Magn. Reson. Imaging 2005, 23(1):1-25. (Jan).
9. Harvey A.K., Pattinson K.T.S., Brooks J.C.W., Mayhew S.D., Jenkinson M., Wise R.G. Brainstem functional magnetic resonance imaging: disentangling signal from physiological noise. J. Magn. Reson. Imaging 2008, 28(6):1337-1344. (Dec).
10. Huf W., Kalcher K., Pail G., Friedrich M.-E., Filzmoser P., Kasper S. Meta-analysis: fact or fiction? How to interpret meta-analyses. World J. Biol. Psychiatry 2011, 12(3):188-200. (Apr).
11. Hutton C., Josephs O., Stadler J., Featherstone E., Reid A., Speck O., Bernarding J., Weiskopf N. The impact of physiological noise correction on fMRI at 7 T. NeuroImage 2011, 57(1):101-112. (Jul).
12. Kalcher K., Huf W., Boubela R.N., Filzmoser P., Pezawas L., Biswal B., Kasper S., Moser E., Windischberger C. Fully exploratory network independent component analysis of the 1000 functional connectomes database. Front. Hum. Neurosci. 2012, 6:301. (Nov).
13. Kannurpatti S.S., Biswal B.B. Detection and scaling of task-induced fMRI-BOLD response using resting state fluctuations. NeuroImage 2008, 40(4):1567-1574. (May).
14. Kannurpatti S.S., Motes M.A., Rypma B., Biswal B.B. Increasing measurement accuracy of age-related BOLD signal change: minimizing vascular contributions by resting-state-fluctuation-of-amplitude scaling. Hum. Brain Mapp. 2011, 32(7):1125-1140. (Jul).
15. Kannurpatti S.S., Rypma B., Biswal B.B. Prediction of task-related BOLD fMRI with amplitude signatures of resting-state fMRI. Front. Syst. Neurosci. 2012, 6:7.
16. Logothetis N.K. What we can do and what we cannot do with fMRI. Nature 2008, 453(7197):869-878. (Jun).
17. Logothetis N.K., Wandell B.A. Interpreting the BOLD signal. Annu. Rev. Physiol. 2004, 66:735-769.
18. Lu H., Yezhuvath U.S., Xiao G. Improving fMRI sensitivity by normalization of basal physiologic state. Hum. Brain Mapp. 2010, 31(1):80-87. (Jan).
19. Mennes M., Kelly C., Zuo X.-N., Martino A.D., Biswal B.B., Castellanos F.X., Milham M.P. Inter-individual differences in resting-state functional connectivity predict task-induced bold activity. NeuroImage 2010, 50(4):1690-1701. (May).
20. Mennes M., Zuo X.-N., Kelly C., Martino A.D., Zang Y.-F., Biswal B., Castellanos F.X., Milham M.P. Linking inter-individual differences in neural activation and behavior to intrinsic brain dynamics. NeuroImage 2011, 54(4):2950-2959. (Feb).
21. Murphy K., Birn R.M., Handwerker D.A., Jones T.B., Bandettini P.A. The impact of global signal regression on resting state correlations: are anti-correlated networks introduced?. NeuroImage 2009, 44(3):893-905. (Feb).
22. R Development Core Team R: a language and environment for statistical computing ISBN 3-900051-07-0. http://www.R-project.org.
23. Saad Z.S., Gotts S.J., Murphy K., Chen G., Jo H.J., Martin A., Cox R.W. Trouble at rest: how correlation patterns and group differences become distorted after global signal regression. Brain Connect. 2012, 2(1):25-32.
24. Sladky R., Friston K.J., Trstl J., Cunnington R., Moser E., Windischberger C. Slice-timing effects and their correction in functional MRI. NeuroImage 2011, 58(2):588-594. (Sep).
25. Smith S.M., Jenkinson M., Woolrich M.W., Beckmann C.F., Behrens T.E.J., Johansen-Berg H., Bannister P.R., Luca M.D., Drobnjak I., Flitney D.E., Niazy R.K., Saunders J., Vickers J., Zhang Y., Stefano N.D., Brady J.M., Matthews P.M. Advances in functional and structural MR image analysis and implementation as FSL. NeuroImage 2004, 23(Suppl. 1):S208-S219.
26. Thomason M.E., Foland L.C., Glover G.H. Calibration of BOLD fMRI using breath holding reduces group variance during a cognitive task. Hum. Brain Mapp. 2007, 28(1):59-68. (Jan).
27. Weissenbacher A., Kasess C., Gerstl F., Lanzenberger R., Moser E., Windischberger C. Correlations and anticorrelations in resting-state functional connectivity MRI: a quantitative comparison of preprocessing strategies. NeuroImage 2009, 47(4):1408-1416. (Oct).
28. Zang Y.-F., He Y., Zhu C.-Z., Cao Q.-J., Sui M.-Q., Liang M., Tian L.-X., Jiang T.-Z., Wang Y.-F. Altered baseline brain activity in children with ADHD revealed by resting-state functional MRI. Brain Dev. 2007, 29(2):83-91. (Mar).
29. Zou Q.-H., Zhu C.-Z., Yang Y., Zuo X.-N., Long X.-Y., Cao Q.-J., Wang Y.-F., Zang Y.-F. An improved approach to detection of amplitude of low-frequency fluctuation (ALFF) for resting-state fMRI: fractional ALFF. J. Neurosci. Methods 2008, 172(1):137-141. (Jul).
30. Zou Q., Ross T.J., Gu H., Geng X., Zuo X.-N., Hong L.E., Gao J.-H., Stein E.A., Zang Y.-F., Yang Y. Intrinsic resting-state activity predicts working memory brain activation and behavioral performance. Hum. Brain Mapp. 2012, (Jun, e-pub ahead of print). 10.1002/hbm.22136.
31. Zuo X.-N., Martino A.D., Kelly C., Shehzad Z.E., Gee D.G., Klein D.F., Castellanos F.X., Biswal B.B., Milham M.P. The oscillating brain: complex and reliable. NeuroImage 2010, 49(2):1432-1445. (Jan).