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. 2020 Dec 8;29:102528. doi: 10.1016/j.nicl.2020.102528

Table 4.

Features identified with other classification methods. The most contributive features were identified with LASSO logistic regression, linear kernel SVM, and random forest classification.

Pathway Elastic net LR LASSO LR Linear SVM RF
GCC
BCC FA FA
SCC FA FA FA FA, MD, RD
Cg_left AD AD FA, MD, AD, RD
Cg_right RD FA
CST_left FA FA
CST_right AD
IFO_left FA
IFO_right FA, AD
ILF_left
ILF_right FA, MD, AD, RD
MCP FA FA FA FA, MD, AD, RD
OR_left AD MD, RD
OR_right FA,AD AD
UNC_left FA FA FA MD, AD, RD
UNC_right FA FA FA MD, AD, RD
PV-V4_left
PV-V4_right AD
PV-MT_left MD, AD, RD
PV-MT_right MD, AD, RD
Pre-primaryMC_left
Pre-primaryMC_right FA FA FA
Thal-PSC_left
Thal-PSC_right FA
AR_left FA
AR_right FA, MD, RD FA

Abbreviations: FA, fractional anisotropy; MD, mean diffusivity; AD, axial diffusivity; RD, radial diffusivity; GCC, genu of the corpus callosum; BCC, body of the corpus callosum; SCC, splenium of the corpus callosum; CG, cingulum; CST, corticospinal tract; IFO, inferior fronto-occipital fasciculus; ILF, inferior longitudinal fasciculus; MCP, middle cerebellar peduncle; OR, optic radiation; UNC, uncinate fasciculus; PV-V4, tract connecting v1 + v2 and v4; PV-MT, tract connecting the v1 + v2 and MT; Pre-primaryMC, tract connecting the premotor and primary motor cortices; Thal-PSC, Tract connecting the sensory thalamus and primary sensory cortex; AR, acoustic radiation.