Exploring Parallels Between Molecular Changes Induced in PNS by Aging and Demyelinating Neuropathies

The peripheral nervous system (PNS) is involved in many age-dependent neurological deficits, including numbness, pain, restless legs, trouble with walking and balance that are commonly found in the elderly. These symptoms generally result from demyelination and/or loss of axonal integrity. However, the precise identity of age-regulated molecular changes in either neuronal or glial compartments of the nerve is unclear. Interestingly, these deficiencies are also present in inherited neuropathies, where the expressivity of the rapid and early onset phenotypes is undeniably more severe than in normal aging. Nevertheless, especially the molecular changes underlying loss of axonal integrity in neuropathy condition are also poorly understood. To unravel molecular mechanisms affected by PNS aging, we used wildtype mice at 17 time-points from day of birth until senescence (28 months-old). For the neuropathy study, we focused on 56 day-old Schwann cell-specific neuropathy-inducing mutants, MPZCre/1/ LpinfE2-3/fE2-3 and MPZCre/1/ScapfE1/fE1 mice, that have, at this age, already developed neuropathic symptoms. Transcriptomes of dissected Schwann cell-containing endoneurium or sensory neuron-containing dorsal root ganglia have been analyzed throughout time or genotypes, using Illumina Bead Chips. Following data validation, we identified groups of differentially expressed genes in the development, aging and in the neuropathic mutants, in both glial and neuronal compartments. We detected substantial differences in the dynamics of changes in gene expression during development and aging between these two compartments. Furthermore, considering the above-mentioned phenotypic similarities, we integrated aging and mutant data. Interestingly, we observed that there are some parallels at the molecular level between processes involved in aging, which leads to less severe and more progressive PNS alterations, and in the rapid onset peripheral neuropathies. Apart from helping the understanding of molecular alterations underlying age-related PNS phenotypes, this data should also contribute to the identification of pathways that could be used as targets for therapeutical approaches to prevent complications associated with both aging and inherited forms of neuropathies.

EEG-based functional brain networks: does the network size matter?

Functional connectivity in human brain can be represented as a network using electroencephalography (EEG) signals. These networks--whose nodes can vary from tens to hundreds--are characterized by neurobiologically meaningful graph theory metrics. This study investigates the degree to which various graph metrics depend upon the network size. To this end, EEGs from 32 normal subjects were recorded and functional networks of three different sizes were extracted. A state-space based method was used to calculate cross-correlation matrices between different brain regions. These correlation matrices were used to construct binary adjacency connectomes, which were assessed with regards to a number of graph metrics such as clustering coefficient, modularity, efficiency, economic efficiency, and assortativity. We showed that the estimates of these metrics significantly differ depending on the network size. Larger networks had higher efficiency, higher assortativity and lower modularity compared to those with smaller size and the same density. These findings indicate that the network size should be considered in any comparison of networks across studies.