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Connectivity-based fixel enhancement: Whole-brain statistical analysis of diffusion MRI measures in the presence of crossing fibres.

Raffelt DA, Smith RE, Ridgway GR, Tournier JD, Vaughan DN, Rose S, Henderson R, Connelly A - Neuroimage (2015)

Bottom Line: The results suggest that CFE input parameters are relatively insensitive to the characteristics of the simulated pathology.We therefore recommend a single set of CFE parameters that should give near optimal results in future studies where the group effect is unknown.The MND results illustrate the benefit of fixel-specific statistical inference in white matter regions that contain crossing fibres.

View Article: PubMed Central - PubMed

Affiliation: Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, Australia. Electronic address: david.raffelt@florey.edu.au.

No MeSH data available.


Related in: MedlinePlus

Influence of SNR and CFE parameters (E and H) on simulated pathology in five regions-of-interest. Plots are colour-coded by AFROC area under the curve (AUC). All plots were generated with C = 0.5 and a connectivity-based smoothing kernel of 10 mm FWHM. Red squares indicate recommended values (H = 3, E = 2).
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f0040: Influence of SNR and CFE parameters (E and H) on simulated pathology in five regions-of-interest. Plots are colour-coded by AFROC area under the curve (AUC). All plots were generated with C = 0.5 and a connectivity-based smoothing kernel of 10 mm FWHM. Red squares indicate recommended values (H = 3, E = 2).

Mentions: Fig. 6 demonstrates the influence of CFE parameters C, E and H on a simulated test-statistic in 5 regions-of-interest (with a constant SNR = 1 and smoothing kernel = 10 mm FWHM). Fig. 7 demonstrates the influence of SNR on the optimal ratio of E verses H (with constant C = 0.5 and smoothing kernel = 10 mm). Fig. 8 demonstrates the influence of smoothing spatial extent with different effect sizes (with constant C = 0.5 and arcuate fasciculus ROI).


Connectivity-based fixel enhancement: Whole-brain statistical analysis of diffusion MRI measures in the presence of crossing fibres.

Raffelt DA, Smith RE, Ridgway GR, Tournier JD, Vaughan DN, Rose S, Henderson R, Connelly A - Neuroimage (2015)

Influence of SNR and CFE parameters (E and H) on simulated pathology in five regions-of-interest. Plots are colour-coded by AFROC area under the curve (AUC). All plots were generated with C = 0.5 and a connectivity-based smoothing kernel of 10 mm FWHM. Red squares indicate recommended values (H = 3, E = 2).
© Copyright Policy - CC BY
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4528070&req=5

f0040: Influence of SNR and CFE parameters (E and H) on simulated pathology in five regions-of-interest. Plots are colour-coded by AFROC area under the curve (AUC). All plots were generated with C = 0.5 and a connectivity-based smoothing kernel of 10 mm FWHM. Red squares indicate recommended values (H = 3, E = 2).
Mentions: Fig. 6 demonstrates the influence of CFE parameters C, E and H on a simulated test-statistic in 5 regions-of-interest (with a constant SNR = 1 and smoothing kernel = 10 mm FWHM). Fig. 7 demonstrates the influence of SNR on the optimal ratio of E verses H (with constant C = 0.5 and smoothing kernel = 10 mm). Fig. 8 demonstrates the influence of smoothing spatial extent with different effect sizes (with constant C = 0.5 and arcuate fasciculus ROI).

Bottom Line: The results suggest that CFE input parameters are relatively insensitive to the characteristics of the simulated pathology.We therefore recommend a single set of CFE parameters that should give near optimal results in future studies where the group effect is unknown.The MND results illustrate the benefit of fixel-specific statistical inference in white matter regions that contain crossing fibres.

View Article: PubMed Central - PubMed

Affiliation: Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, Australia. Electronic address: david.raffelt@florey.edu.au.

No MeSH data available.


Related in: MedlinePlus