2010
DOI: 10.1016/j.neuroimage.2010.01.043
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A quantitative comparison of BOLD fMRI responses to noxious and innocuous stimuli in the human spinal cord

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Cited by 56 publications
(66 citation statements)
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“…The result showed that BOLD signal change in response to bilateral sensory stimulation was significantly higher than unilateral stimulation in healthy and myelopathic cord. The BOLD signal change in healthy cord (5.1%-5.5%) was consistent with the earlier reports, 18,20 whereas the signal change in myelopathic cord (6.5%-7.9%) was significantly higher than that in healthy cord. Earlier studies have reported that there was enhanced activation in diseased 35 or injured cord 36 in comparison with healthy cord.…”
Section: Methodological Considerations and Spinal Bold Response Relatsupporting
confidence: 91%
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“…The result showed that BOLD signal change in response to bilateral sensory stimulation was significantly higher than unilateral stimulation in healthy and myelopathic cord. The BOLD signal change in healthy cord (5.1%-5.5%) was consistent with the earlier reports, 18,20 whereas the signal change in myelopathic cord (6.5%-7.9%) was significantly higher than that in healthy cord. Earlier studies have reported that there was enhanced activation in diseased 35 or injured cord 36 in comparison with healthy cord.…”
Section: Methodological Considerations and Spinal Bold Response Relatsupporting
confidence: 91%
“…32 The time series were band-pass filtered (0.05-0.5 Hz), and no spatial smoothing was performed due to the limited dimensions of the spinal cord and the expected extent. 20 Active voxels were identified as those having P<0.0025 (uncorrected), which were consistent with the earlier fMRI in the cervical spinal cord. 33 The mean MRI signal change at each time point of active voxels was obtained to generate the whole time course of the hemodynamic response to the neuronal activity in the spinal cord.…”
supporting
confidence: 83%
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“…There exist some automatic tools of evaluating volume outliers, including AFNI (3dTqual) and FSL (fsl_motion_outliers). [39][40][41] However, these tools do not adequately address small subject motion as well as the temporal variation of BOLD signals since volume outliers are detected based on spatial correlation between a motion-corrected volume and the template. In this section, we propose a method for VOR, using a probabilistic approach based on the temporal outliers of BOLD time series, which is optimized to be robust for temporal variation of signals.…”
Section: Volume Outlier Rejectionmentioning
confidence: 99%