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Fig. 7 | Alzheimer's Research & Therapy

Fig. 7

From: Subject classification and cross-time prediction based on functional connectivity and white matter microstructure features in a rat model of Alzheimer’s using machine learning

Fig. 7

Feature importance and test classification accuracy using different microstructure metrics (mean ± std over 1000 repetitions). Displayed are the top 5 most import features on the three datasets using DKI metrics (blue) and WMTI parameters (green) altogether. fi, fimbria; cc, corpus callosum; cg, cingulum; FA, fractional anisotropy; AD/RD, axial/radial diffusivity; AK, axial kurtosis; f, axonal density; Da, intra-axonal diffusivity; De,||, extra-axonal parallel diffusivity; c2: orientation dispersion

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Alzheimer's Research & Therapy

ISSN: 1758-9193