Topological Characterization of the Multifeature based Network in Patients with Alzheimers Disease and Mild Cognitive Impairment Characterization of morphological organization pattern in individual brain has long been an open question. Recently, a novel singlesubject network that built upon multiple morphological features (MFN) was introduced 1, which exhibited extraordinary power in diagnosing patients with Alzheimeru0027s disease (AD) and mild cognitive impairment (MCI). This study aims to characterize the corticocortical topological organization in MCI and AD cohorts via the MFN, and uncover the structural substrate that leads to the high classification accuracy. The MFNs were constructed for 165 normal controls (NCs), 221 patients with MCI, and 142 patients with AD from the Alzheimeru0027s Disease Neuroimaging Initiative (ADNI). Results from graph theoretical analysis showed xe2x80x98smallworldxe2x80x99 property and modular organization of the MFN in three groups; as well as increased local clustering and characteristic path length, and altered hub regions in patients with AD and MCI. More importantly, we found the primary atrophic regions were accompanied by increased number of inflow connections; whereas, the connections that linked to the less atrophic regions were mostly outflow connections. This phenomenon, we speculated, might indirectly reflect the trophic supporting effects in the brain. Our results demonstrated the basic organizational principles of the MFN and its changes in patients with AD and MCI, providing important implications of what makes the MFN powerful in autodiagnosis of mental disorders.

Permutation Entropy and Statistical Complexity in Mild Cognitive Impairment and Alzheimerxe2x80x99s Disease: An Analysis Based on Frequency Bands We present one of the first applications of Permutation Entropy (PE) and Statistical Complexity (SC) (measured as the product of PE and JensenShanon Divergence) on Magnetoencephalography (MEG) recordings of 46 subjects suffering from Mild Cognitive Impairment (MCI), 17 individuals diagnosed with Alzheimerxe2x80x99s Disease (AD) and 48 healthy controls. We studied the differences in PE and SC in broadband signals and their decomposition into frequency bands (   xcexb4   ,    xcexb8   ,    xcexb1    and    xcexb2   ), considering two modalities: (i) raw time series obtained from the magnetometers and (ii) a reconstruction into cortical sources or regions of interest (ROIs). We conducted our analyses at three levels: (i) at the group level we compared SC in each frequency band and modality between groups; (ii) at the individual level we compared how the PE, SC plane differs in each modality; and (iii) at the local level we explored differences in scalp and cortical space. We recovered classical results that considered only broadband signals and found a nontrivial pattern of alterations in each frequency band, showing that SC does not necessarily decrease in AD or MCI.