Araştırma Makalesi
BibTex RIS Kaynak Göster

PREPROCESSING STEPS IN fMRI: SMOOTHING

Yıl 2019, Cilt: 61 Sayı: 2, 161 - 171, 01.12.2019
https://doi.org/10.33769/aupse.633838

Öz

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.

Kaynakça

  • 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.
Yıl 2019, Cilt: 61 Sayı: 2, 161 - 171, 01.12.2019
https://doi.org/10.33769/aupse.633838

Öz

Kaynakça

  • 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.
Toplam 11 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Mühendislik
Bölüm Review Articles
Yazarlar

Hacer Daşgın Bu kişi benim 0000-0003-4372-1134

Ali Yaman 0000-0002-6859-762X

Yılmaz Akdi 0000-0003-0188-0970

Yayımlanma Tarihi 1 Aralık 2019
Gönderilme Tarihi 16 Haziran 2019
Kabul Tarihi 15 Ağustos 2019
Yayımlandığı Sayı Yıl 2019 Cilt: 61 Sayı: 2

Kaynak Göster

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. Aralık 2019;61(2):161-171. doi:10.33769/aupse.633838
Chicago Daşgın, Hacer, Ali Yaman, ve Yılmaz Akdi. “PREPROCESSING STEPS IN FMRI: SMOOTHING”. Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering 61, sy. 2 (Aralık 2019): 161-71. https://doi.org/10.33769/aupse.633838.
EndNote Daşgın H, Yaman A, Akdi Y (01 Aralık 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, ve Y. Akdi, “PREPROCESSING STEPS IN fMRI: SMOOTHING”, Commun.Fac.Sci.Univ.Ank.Series A2-A3: Phys.Sci. and Eng., c. 61, sy. 2, ss. 161–171, 2019, doi: 10.33769/aupse.633838.
ISNAD Daşgın, Hacer vd. “PREPROCESSING STEPS IN FMRI: SMOOTHING”. Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering 61/2 (Aralık 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 vd. “PREPROCESSING STEPS IN FMRI: SMOOTHING”. Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering, c. 61, sy. 2, 2019, ss. 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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