The Effect of Slice Order and Thickness on fMRI Activation Data Using Multislice Echo-Planar Imaging

Multislice echo-planar imaging (EPI) is a commonly used technique for fMRI studies. Brain activation images acquired using fMRI are sensitive to T2* changes, reflecting the level of blood oxygenation (BOLD contrast), and may also contain an element of T1 contrast which detects blood flow changes in large vessels. If slice inflow (T1) effects are significant in multislice EPI, then as the order in which the slices are acquired is changed, differences in the activation maps are predicted. However, in experiments presented here using visual stimulation, the data demonstrate that highly consistent results can be achieved for repetition times (TR) of 6.0, 3.0, and 1.5 s. This suggests that, for whole-brain multislice EPI, fMRI activation is dominated by T2*, BOLD contrast. The thickness of the imaging slice is also an important parameter in these studies, having implications for spatial resolution, sensitivity, and acquisition time. In separate visual cortex experiments the effect on the values of the fMRI Z scores and the number of activated voxels is investigated as a function of slice thickness (from 1 to 8 mm). The maximum Z scores in the data are similar for all slice thicknesses and, after resampling to allow a direct comparison to be made, the volume of visual cortex detected as significantly activated increases with slice thickness.

[1]  Karl J. Friston,et al.  Functional MRI , 1997 .

[2]  Karl J. Friston,et al.  Spatial registration and normalization of images , 1995 .

[3]  M. Raichle,et al.  Focal physiological uncoupling of cerebral blood flow and oxidative metabolism during somatosensory stimulation in human subjects. , 1986, Proceedings of the National Academy of Sciences of the United States of America.

[4]  Karl J. Friston,et al.  Assessing the significance of focal activations using their spatial extent , 1994, Human brain mapping.

[5]  P. Mansfield Multi-planar image formation using NMR spin echoes , 1977 .

[6]  D. Tank,et al.  4 Tesla gradient recalled echo characteristics of photic stimulation‐induced signal changes in the human primary visual cortex , 1993 .

[7]  C. Sherrington,et al.  On the Regulation of the Blood‐supply of the Brain , 1890, The Journal of physiology.

[8]  J. Frahm,et al.  Functional MRI of human brain activation at high spatial resolution , 1993, Magnetic resonance in medicine.

[9]  R. Turner,et al.  Dynamic magnetic resonance imaging of human brain activity during primary sensory stimulation. , 1992, Proceedings of the National Academy of Sciences of the United States of America.

[10]  J. R. Baker,et al.  The intravascular contribution to fmri signal change: monte carlo modeling and diffusion‐weighted studies in vivo , 1995, Magnetic resonance in medicine.

[11]  P. Jezzard,et al.  Correction for geometric distortion in echo planar images from B0 field variations , 1995, Magnetic resonance in medicine.

[12]  Richard S. J. Frackowiak,et al.  Area V5 of the human brain: evidence from a combined study using positron emission tomography and magnetic resonance imaging. , 1993, Cerebral cortex.

[13]  Karl J. Friston,et al.  Analysis of functional MRI time‐series , 1994, Human Brain Mapping.

[14]  Peter van Gelderen,et al.  A comparison of fast MR scan techniques for cerebral activation studies at 1.5 Tesla , 1998, Magnetic resonance in medicine.

[15]  Karl J. Friston,et al.  Statistical parametric maps in functional imaging: A general linear approach , 1994 .

[16]  J. Gore,et al.  Intravascular susceptibility contrast mechanisms in tissues , 1994, Magnetic resonance in medicine.

[17]  R. Turner,et al.  Echo‐planar time course MRI of cat brain oxygenation changes , 1991, Magnetic resonance in medicine.

[18]  J H Duyn,et al.  Inflow versus deoxyhemoglobin effects in bold functional MRI using gradient echoes at 1.5 T , 1994, NMR in biomedicine.

[19]  R Turner,et al.  Blood oxygenation level dependent signal time courses during prolonged visual stimulation. , 1998, Magnetic resonance imaging.

[20]  Karl J. Friston,et al.  The Critical Relationship between the Timing of Stimulus Presentation and Data Acquisition in Blocked Designs with fMRI , 1999, NeuroImage.

[21]  R. S. Hinks,et al.  Spin‐echo and gradient‐echo epi of human brain activation using bold contrast: A comparative study at 1.5 T , 1994, NMR in biomedicine.

[22]  G. Johnson,et al.  The limitations of NMR recalled-echo imaging techniques , 1985 .

[23]  A. Kleinschmidt,et al.  Brain or veinoxygenation or flow? On signal physiology in functional MRI of human brain activation , 1994, NMR in biomedicine.

[24]  Jean A. Tkach,et al.  2D and 3D high resolution gradient echo functional imaging of the brain: Venous contributions to signal in motor cortex studies , 1994, NMR in biomedicine.

[25]  Yihong Yang,et al.  Functional Magnetic Resonance Neuroimaging Data Acquisition Techniques , 1996, NeuroImage.

[26]  Xiaoping Hu,et al.  Potential pitfalls of functional MRI using conventional gradient‐recalled echo techniques , 1994, NMR in biomedicine.

[27]  R Turner,et al.  Improvements in snap-shot nuclear magnetic resonance imaging. , 1988, The British journal of radiology.

[28]  Ravi S. Menon,et al.  Functional brain mapping by blood oxygenation level-dependent contrast magnetic resonance imaging. A comparison of signal characteristics with a biophysical model. , 1993, Biophysical journal.

[29]  D. Tank,et al.  Brain magnetic resonance imaging with contrast dependent on blood oxygenation. , 1990, Proceedings of the National Academy of Sciences of the United States of America.