Fig. 5: Disease identification across ages.
From: Identifying individual brain development using multimodality brain network
a The age classification accuracy of healthy individuals using multiple features derived from multimodality brain network. The colored bars indicate which parameter combination was used as the feature. b The confusion matrix of age classification within healthy individuals using the best combination of EEG and fMRI parameters. c The identification accuracy of individuals with six types of mental disorders at three ages (nAnxiety = 29/19/20, nDepression = 6/5/22, nADHD = 129/72/31, nASD = 15/6/11, nCELF = 81/47/33, nLD = 23/14/7). The colored bars indicate which stage of age was used for identification. On the horizontal axis, ‘EEG’/‘fMRI’ indicates the combination of all EEG/fMRI parameters was used as the classification feature, ‘all’ indicates the combination of all EEG and fMRI parameters was used as the classification feature, ‘best’ indicates the best combination of parameters, ‘comp’ indicates the same and compromised combination of parameters that used in the classification of the three age stages, which can obtain high accuracy at the same time. ADHD: attention deficit hyperactivity disorder; ASD: autism spectrum disorder; CELF: below clinical evaluation of language fundamentals criterion; LD: learning disorder.
