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Fig. 3 | BMC Medical Imaging

Fig. 3

From: Cerebral morphometric alterations predict the outcome of migraine diagnosis and subtyping: a radiomics analysis

Fig. 3

Four identified connectivity features to discriminate MwA from MwoA patients, using the all-relevant feature selection algorithm. These features were listed as follows: the mean of travel depth (TD) in caudal middle frontal (A) the standard deviation (SD) of fractional anisotropy (FA) in postcentral (B) the mean of convexity in lateral occipital (C) the mean of FA in thalamus (D). They all showed significant differences between MwA and MwoA patients. Statistical significance is indicated by asterisks (***, P < 0.001; **, P < 0.01)

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BMC Medical Imaging

ISSN: 1471-2342

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