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Guiding functional connectivity estimation by structural connectivity in MEG: an application to discrimination of mild cognitive impaired conditions

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Academic year: 2020

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Figure

Fig. 1. Flow-chart diagram describing the processing pipeline of the study, from the acqui- acqui-sition of MEG and MRI data to the statistical discrimination between healthy controls and  MCI groups
Fig. 2  shows the average log-likelihoods for all three graphical  lasso approaches and frequency bands
Fig.  4A—C represents, in a brain mesh, highly relevant connections  that were selected by the previous LDA classifier in at least 9 of the  10-fold cross-validation testings
Fig. 4 Selected features in the LDA classifier for HC-sdMCI for the broadband and GLd (accuracy 86.27%)
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