Support Vector Classification and Prediction of Resting-State Functional Connectivity Over the Lifespan

Keywords

absolute accuracies accuracy acquisition aging agreeing alternate alternative anatomical anatomy arbor autism binary biomedical brain characterize chronological classification classifying collected color combined connectivity coordinate coordinates correction correlation corresponds cross default defined development disease disparate displayed duration either engineering entire epsilon examining extended extends eyes feature filtering fixation form formed functional highest identity implicated important instructed investigated investigation keep kernel kernels label labels laboratory laura learning lifespan linear located look machine machines matched matrices matrix maturity middle mode model monk motion multivariate network networks nodes normalization normalized nuisance occipital offers open overlaid overlays parietal pathologies pattern permutations posterior potential predicted predicting prediction preprocessed prescription previous prior process psychiatry psychology radiology realignment regression regressors removed resting sample scaled scanned scanner science segmentation selection sets site sites slice slices smoothing space spatial spiral studies subject subjects summed support swain table taken thalamus timing toolbox tracked univariate validation vector welsh white whole width years young