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PREPROCESSING STEPS IN fMRI: SMOOTHING

Year 2019, Volume: 61 Issue: 2, 161 - 171, 01.12.2019
https://doi.org/10.33769/aupse.633838

Abstract

Functional
magnetic resonance imaging is a technique with a primary and dominant effect in
the investigation of the cognitive functions of the brain since it has a
complex structure. In this study, data obtained from single subject was
examined. First statistical parametric mapping results were obtained after
applying the standard preprocessing steps with including smoothness. Spatial
smoothing was performed using a 3 mm Gaussian kernel which is twice of the
voxel size. Second, statistical parametric mapping results were obtained with
applying standard preprocessing steps without smoothing. The effects of these
two applications on the mapping results were compared for selected slices and
locations in terms of statistical and pattern.

References

  • Ogawa, S.T., Lee, M., Kay, A.R. and Tank, D.W., Brain Magnetic Resonance Imaging with Contrast Dependent on Blood Oxygenation. Proc. NatI. Acad. Sci., Biophysics (87), (1990), 9868-9872.
  • Ugurbil, K., Garwood, M., Hendrich, K., Hinke, R., Hu, X., Menon, R.S., Merkle, H., Ogawa, S. and Salmi, R., Imaging at High Magnetic Fields; Initial Experiences at 4 Tesla. Magn Reson Quarterly, (9), (1993), 259 – 277. Kwong, K.K., Belliveau, J.W., Chesler, D.A., Goldberg, I.E., Weisskoff, R.M., Poncelet, B.P., Kennedy, D.N., Hoppel, B.E., Cohen, M.S. and Turner, R., Dynamic magnetic resonance imaging of human brain activity during primary sensory stimulation. Proc. Nadl. Acad. Sci., (89), (1992), 5675-5679.
  • Huettel, S.A., Song, A.W. and McCarthy, G., Functional Magnetic Resonance Imaging, Second Edition. Sinauer Associates Inc, Sunderland, Massachusetts USA, 2008.
  • Friston, K.J., Holmes, A.P., Poline, J.B., Grasby, P.J., Williams, S.C., Frackowiak, R.S. et al. Analysis of fMRI time-series revisited, Neuroimage, 2(1), 1995, 45–53.
  • Worsley, K.J., Marrett, S., Neelin P, Vandal, A.C., Friston KJ, Evans AC. A unified statistical approach for determining significant signals in images of cerebral activation. Hum Brain Mapp, 4(1), (1996), 58–73.
  • Filippi, M., fMRI Techniques and Protocols. Humana Press, 830, New York, 2009.
  • Worsley, K. J. and Friston, K.J., Analysis of fMRI Time-Series Revisited Again, Academic Press Inc., Neuroimage 2, (1995), 173-181.
  • Anonymous, SPM By members & collaborators of the Wellcome Trust Centre for Neuroimaging, http://www.fil.ion.ucl.ac.uk/spm/.
  • Mikla, M., Mareček, R., Hluštíkc, P., Pavlicová, M., Drasticha, A., Chlebus, P., Brázdil, M., Krupaf, P., Effects of spatial smoothing on fMRI group inferences. Magnetic Resonance Imaging 26, (2008), 490–503.
  • Friston, K. J., Josephs, O., Zarahn E and Poline, P., To Smooth or Not to Smooth? Bias and Efficiency in fMRI Time-Series Analysis, NeuroImage 12, (2000), 196–208.
  • Wilke, M. and Lidzba, K., LI-tool: A new toolbox to assess lateralization in functional MR-data. Journal of Neuroscience of Methods, (163), (2007), 128–136.
Year 2019, Volume: 61 Issue: 2, 161 - 171, 01.12.2019
https://doi.org/10.33769/aupse.633838

Abstract

References

  • Ogawa, S.T., Lee, M., Kay, A.R. and Tank, D.W., Brain Magnetic Resonance Imaging with Contrast Dependent on Blood Oxygenation. Proc. NatI. Acad. Sci., Biophysics (87), (1990), 9868-9872.
  • Ugurbil, K., Garwood, M., Hendrich, K., Hinke, R., Hu, X., Menon, R.S., Merkle, H., Ogawa, S. and Salmi, R., Imaging at High Magnetic Fields; Initial Experiences at 4 Tesla. Magn Reson Quarterly, (9), (1993), 259 – 277. Kwong, K.K., Belliveau, J.W., Chesler, D.A., Goldberg, I.E., Weisskoff, R.M., Poncelet, B.P., Kennedy, D.N., Hoppel, B.E., Cohen, M.S. and Turner, R., Dynamic magnetic resonance imaging of human brain activity during primary sensory stimulation. Proc. Nadl. Acad. Sci., (89), (1992), 5675-5679.
  • Huettel, S.A., Song, A.W. and McCarthy, G., Functional Magnetic Resonance Imaging, Second Edition. Sinauer Associates Inc, Sunderland, Massachusetts USA, 2008.
  • Friston, K.J., Holmes, A.P., Poline, J.B., Grasby, P.J., Williams, S.C., Frackowiak, R.S. et al. Analysis of fMRI time-series revisited, Neuroimage, 2(1), 1995, 45–53.
  • Worsley, K.J., Marrett, S., Neelin P, Vandal, A.C., Friston KJ, Evans AC. A unified statistical approach for determining significant signals in images of cerebral activation. Hum Brain Mapp, 4(1), (1996), 58–73.
  • Filippi, M., fMRI Techniques and Protocols. Humana Press, 830, New York, 2009.
  • Worsley, K. J. and Friston, K.J., Analysis of fMRI Time-Series Revisited Again, Academic Press Inc., Neuroimage 2, (1995), 173-181.
  • Anonymous, SPM By members & collaborators of the Wellcome Trust Centre for Neuroimaging, http://www.fil.ion.ucl.ac.uk/spm/.
  • Mikla, M., Mareček, R., Hluštíkc, P., Pavlicová, M., Drasticha, A., Chlebus, P., Brázdil, M., Krupaf, P., Effects of spatial smoothing on fMRI group inferences. Magnetic Resonance Imaging 26, (2008), 490–503.
  • Friston, K. J., Josephs, O., Zarahn E and Poline, P., To Smooth or Not to Smooth? Bias and Efficiency in fMRI Time-Series Analysis, NeuroImage 12, (2000), 196–208.
  • Wilke, M. and Lidzba, K., LI-tool: A new toolbox to assess lateralization in functional MR-data. Journal of Neuroscience of Methods, (163), (2007), 128–136.
There are 11 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Review Articles
Authors

Hacer Daşgın This is me 0000-0003-4372-1134

Ali Yaman 0000-0002-6859-762X

Yılmaz Akdi 0000-0003-0188-0970

Publication Date December 1, 2019
Submission Date June 16, 2019
Acceptance Date August 15, 2019
Published in Issue Year 2019 Volume: 61 Issue: 2

Cite

APA Daşgın, H., Yaman, A., & Akdi, Y. (2019). PREPROCESSING STEPS IN fMRI: SMOOTHING. Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering, 61(2), 161-171. https://doi.org/10.33769/aupse.633838
AMA Daşgın H, Yaman A, Akdi Y. PREPROCESSING STEPS IN fMRI: SMOOTHING. Commun.Fac.Sci.Univ.Ank.Series A2-A3: Phys.Sci. and Eng. December 2019;61(2):161-171. doi:10.33769/aupse.633838
Chicago Daşgın, Hacer, Ali Yaman, and Yılmaz Akdi. “PREPROCESSING STEPS IN FMRI: SMOOTHING”. Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering 61, no. 2 (December 2019): 161-71. https://doi.org/10.33769/aupse.633838.
EndNote Daşgın H, Yaman A, Akdi Y (December 1, 2019) PREPROCESSING STEPS IN fMRI: SMOOTHING. Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering 61 2 161–171.
IEEE H. Daşgın, A. Yaman, and Y. Akdi, “PREPROCESSING STEPS IN fMRI: SMOOTHING”, Commun.Fac.Sci.Univ.Ank.Series A2-A3: Phys.Sci. and Eng., vol. 61, no. 2, pp. 161–171, 2019, doi: 10.33769/aupse.633838.
ISNAD Daşgın, Hacer et al. “PREPROCESSING STEPS IN FMRI: SMOOTHING”. Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering 61/2 (December 2019), 161-171. https://doi.org/10.33769/aupse.633838.
JAMA Daşgın H, Yaman A, Akdi Y. PREPROCESSING STEPS IN fMRI: SMOOTHING. Commun.Fac.Sci.Univ.Ank.Series A2-A3: Phys.Sci. and Eng. 2019;61:161–171.
MLA Daşgın, Hacer et al. “PREPROCESSING STEPS IN FMRI: SMOOTHING”. Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering, vol. 61, no. 2, 2019, pp. 161-7, doi:10.33769/aupse.633838.
Vancouver Daşgın H, Yaman A, Akdi Y. PREPROCESSING STEPS IN fMRI: SMOOTHING. Commun.Fac.Sci.Univ.Ank.Series A2-A3: Phys.Sci. and Eng. 2019;61(2):161-7.

Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering

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