Increased perivascular fibrosis and pro-fibrotic cellular transition in intramyocardial blood vessels in myocardial infarction patients.

Background And Objectives: Structural and functional changes in the intramyocardial microcirculation increase the risk of myocardial infarction (MI). This study investigated intramyocardial perivascular fibrosis and pro-fibrotic cellular transitions in deceased acute and subacute MI patients to explore their involvement in the pathogenesis of MI.

Methods: Left ventricular tissue (LV) was obtained from the infarction area of autopsied patients with acute-phase MI (3-6 h;  = 24), subacute-phase MI (5-14 days;  = 12), and noninfarcted controls ( = 14).

Brain dynamics and personality: a preliminary study.

Personality can be considered a system characterized by complex dynamics that are extremely adaptive depending on continuous interactions with the environment and situations. The present preliminary study explores the dynamic interplay between brain flexibility and personality by taking the dynamic approach to personality into account, thereby drawing from Cloninger's psychobiological model. 46 healthy individuals were recruited, and their brain dynamics were assessed using magnetoencephalography (MEG) during the resting state.

Brain fingerprint and subjective mood state across the menstrual cycle.

Background: Brain connectome fingerprinting represents a recent and valid approach in assessing individual identifiability on the basis of the subject-specific brain functional connectome. Although this methodology has been tested and validated in several neurological diseases, its performance, reliability and reproducibility in healthy individuals has been poorly investigated. In particular, the impact of the changes in brain connectivity, induced by the different phases of the menstrual cycle (MC), on the reliability of this approach remains unexplored.

Search for Soft Unclustered Energy Patterns in Proton-Proton Collisions at 13 TeV.

The first search for soft unclustered energy patterns (SUEPs) is performed using an integrated luminosity of 138  fb^{-1} of proton-proton collision data at sqrt[s]=13  TeV, collected in 2016-2018 by the CMS detector at the LHC. Such SUEPs are predicted by hidden valley models with a new, confining force with a large 't Hooft coupling. In events with boosted topologies, selected by high-threshold hadronic triggers, the multiplicity and sphericity of clustered tracks are used to reject the background from standard model quantum chromodynamics.