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Image Search Results
Journal: Proceedings of the National Academy of Sciences of the United States of America
Article Title: MRI-based assessment of function and dysfunction in myelinated axons
doi: 10.1073/pnas.1801788115
Figure Lengend Snippet: Time-course changes in DBSI model diffusion parameters from initial value (n = 6). (A) Fiber fraction exhibits an increase (ffiber,init = 0.778 ± 0.009) to a maximum of 0.789 ± 0.008. This difference is only statistically significant at the fourth time point after the start of stimulation. This suggests a shift of 1.1% (Δffiber = 1.1 ± 0.3) into the fiber signal component of the DBSI model. (B) The hindered component (fH) of the isotropic ADC spectrum indicates a maximum poststimulus shift of 0.7 ± 0.3% of tissue water out of the hindered. More pronounced is the decrease in the ADC of this component (DH), shown in F. (C) A small portion of the water in the perfused nerve, ΔfR = 0.30 ± 0.03% of the total, transiently shifts into a compartment with restricted isotropic diffusion. Prestimulation, the restricted diffusion component accounts for 0.2 ± 0.1% of the total signal in the nerve. In relative terms, fR transiently increases by 230%. (D and E) Changes in the axial (D) and radial (E) diffusivities of the fiber component, ffiber. (F) Poststimulus, ΔDH = −0.19 ± 0.04 μm2/ms, from an initial prestimulus DH of 1.30 ± 0.06 μm2/ms. (G) The prestimulus restricted diffusivity, DR, increases from 0.11 ± 0.02 to 0.15 ± 0.02 μm2/ms. The finding that DR appears to remain elevated while fR returns nearly to baseline suggests that it is the largest of the submyelinic vacuoles that are the least transient in nature. Time points that are statistically significantly different from the prestimulus value via repeated-measures ANOVA/Tukey test are indicated by an asterisk.
Article Snippet: The resulting image data were then analyzed via the
Techniques: Diffusion-based Assay
Journal: Proceedings of the National Academy of Sciences of the United States of America
Article Title: MRI-based assessment of function and dysfunction in myelinated axons
doi: 10.1073/pnas.1801788115
Figure Lengend Snippet: Correlations among different metrics of stimulus response from diffusion fMRI, electrophysiology, and dynamic T2 spectroscopy in the 40-min × 100-Hz stimulus nerves. (A–C) The DTI-based metrics of diffusion fMRI response (ΔADCDTI, Δλ║, and Δλ⊥) show statistically significant correlations with normalized CAP conduction velocity (poststimulation, filled circles/solid-line fits, R2 = 0.94, P = 0.0013, R2 = 0.79, P = 0.018, R2 = 0.71, P = 0.035, for ΔADCDTI, Δλ║, and Δλ⊥, respectively). Measured at the stimulus-on time point (open circles/dashed lines), ΔADCDTI and Δλ║ are statistically significantly correlated with vCAP,40min,norm (R2 = 0.97, P = 0.0003 and R2 = 0.77, P = 0.023, respectively), but Δλ⊥ is not. (D and E) Increasing axonal water fraction in dynamic T2 spectra is associated with a larger decrease in ADCDTI (R2 = 0.87, P = 0.020) and an increase in the DBSI-restricted diffusion component (R2 = 0.91, P = 0.013). (F) While it does not correlate with conduction velocity, an increase in the DBSI-restricted isotropic diffusion component does correlate with reduced CAP peak-to-peak amplitude (broadening out of the CAP waveform, R2 = 0.88, P = 0.006).
Article Snippet: The resulting image data were then analyzed via the
Techniques: Diffusion-based Assay, Spectroscopy