Skip to Main Content (Press Enter)

Logo UNISS
  • ×
  • Home
  • Degrees
  • Courses
  • Jobs
  • People
  • Outputs
  • Organizations
  • Third Mission
  • Expertise & Skills

Logo UNISS

|

UNIFIND

uniss.it
  • ×
  • Home
  • Degrees
  • Courses
  • Jobs
  • People
  • Outputs
  • Organizations
  • Third Mission
  • Expertise & Skills
  1. Outputs

Brain functional networks become more connected as amyotrophic lateral sclerosis progresses: a source level magnetoencephalographic study

Academic Article
Publication Date:
2018
Short description:
Brain functional networks become more connected as amyotrophic lateral sclerosis progresses: a source level magnetoencephalographic study / Sorrentino, P., Rucco, R., Jacini, F., Trojsi, F., Lardone, A., Baselice, F., Femiano, C., Santangelo, G., Granata, C., Vettoliere, A., Monsurrò, M.R., Tedeschi, G., Sorrentino, G.. - In: NEUROIMAGE. CLINICAL. - ISSN 2213-1582. - 20:(2018), pp. 564-571. [10.1016/j.nicl.2018.08.001]
abstract:
This study hypothesizes that the brain shows hyper connectedness as amyotrophic lateral sclerosis (ALS) progresses. 54 patients (classified as “early stage” or “advanced stage”) and 25 controls underwent magnetoencephalography and MRI recordings. The activity of the brain areas was reconstructed, and the synchronization between them was estimated in the classical frequency bands using the phase lag index. Brain topological metrics such as the leaf fraction (number of nodes with degree of 1), the degree divergence (a measure of the scale-freeness) and the degree correlation (a measure of disassortativity) were estimated. Betweenness centrality was used to estimate the centrality of the brain areas. In all frequency bands, it was evident that, the more advanced the disease, the more connected, scale-free and disassortative the brain networks. No differences were evident in specific brain areas. Such modified brain topology is sub-optimal as compared to controls. Within this framework, our study shows that brain networks become more connected according to disease staging in ALS patients.
Iris type:
1.1 Articolo in rivista
Keywords:
Connectivity; Magnetic source imaging; Motor neuron disease; Neuroimaging biomarker
List of contributors:
Sorrentino, Pierpaolo; Rucco, Rosaria; Jacini, Francesca; Trojsi, Francesca; Lardone, Anna; Baselice, Fabio; Femiano, Cinzia; Santangelo, Gabriella; Granata, Carmine; Vettoliere, Antonio; Monsurrò, Maria Rosaria; Tedeschi, Gioacchino; Sorrentino, Giuseppe
Authors of the University:
SORRENTINO Pierpaolo
Handle:
https://iris.uniss.it/handle/11388/370209
Published in:
NEUROIMAGE. CLINICAL
Journal
  • Use of cookies

Powered by VIVO | Designed by Cineca | 26.7.2.0