The pathological brain is characterized by distributed morphological or structural alterations
in the grey matter, which tend to follow identifiable network-like patterns. We analysed the …

… a degree of k. In fact, the k-core decomposition of a network recursively removes all the
vertices having a degree less than k, until in the graph all vertices with degree k or more remain. …

… to avoid an excessive false negatives rate, we employed a more liberal correction for multiple
comparison: the false discovery rate (FDR) with a q < 0.05 and a minimum cluster size of k …

Mute swans (Cygnus olor) are poorly studied despite their potential to impact submerged
aquatic vegetation (SAV). We measured vegetation characteristics (ie, percent cover, shoot …

… k-means technique. This technique is an unsupervised learning algorithm that subdivides a
set of objects in k … There are different types and methods of clustering in literature: we used k-…

… Given the great number of nodes and the high density of edges of the coatrophy network,
we used the k-core algorithm to identify the most connected components of the network. The …

… If we have n i experiments for k neuropathologies, then N = ∑ i = 1 k n i . For each experiment
we calculate the probability of activation of every voxel, as follows: L i ( v ) = 1 σ 3 ( 2 π ) 3 …

The quest to characterize the neural signature distinctive of different basic emotions has
recently come under renewed scrutiny. Here we investigated whether facial expressions of …

Converging evidence suggests that the right hemisphere (RH) plays an important role in
language recovery from aphasia after a left hemisphere (LH) lesion. In this longitudinal study …

The different temporal dynamics of emotions are critical to understand their evolutionary role
in the regulation of interactions with the surrounding environment. Here, we investigated the …