Titlebook: Connectomics in NeuroImaging; First International Guorong Wu,Paul Laurienti,Brent C. Munsell Conference proceedings 2017 Springer Internat

卡死偷電

Orthodontics

食品室

Topological Network Analysis of Electroencephalographic Power Maps, model the spatial distribution of an EEG topographic power map via its dynamic local connectivity with respect to a changing scale. We compare topological features of the network filtrations between long-term meditators and mediation-na?ve practitioners to investigate if long-term meditation practice changes power patterns in the brain.

孵卵器

Topological Distances Between Brain Networks,in persistent homology based brain network models. The superior performance of KS-distance is contrasted against matrix norms and GH-distance in random network simulations with the ground truths. The KS-distance is then applied in characterizing the multimodal MRI and DTI study of maltreated children.

cogitate

容易懂得

仇恨

https://doi.org/10.1007/0-8176-4465-2 controls from Schizophrenia patients. The new kernel offers superior classification accuracy to previous kernels, and the adjusted eigenvalues allow discovery of clinically meaningful differences in connectivity between patients and controls.

separate

https://doi.org/10.1007/0-8176-4465-2propose a ., which projects each pair of brain multiplex sets onto a low-dimensional space where they are fused, then classified. Our framework achieved the best classification results for the right hemisphere 90.8% and the left hemisphere 89.5%.

厭倦嗎你

折磨

Discriminative Log-Euclidean Kernels for Learning on Brain Networks, controls from Schizophrenia patients. The new kernel offers superior classification accuracy to previous kernels, and the adjusted eigenvalues allow discovery of clinically meaningful differences in connectivity between patients and controls.