Memorias de investigación
Artículos en revistas:
Disparate connectivity for structural and functional networks is revealed when physical location of the connected nodes is considered.
Año:2014
Áreas de investigación
  • Procesamiento de imágenes
Datos
Descripción
Macroscopic brain networks have been widely described with the manifold of metrics available using graph theory. However, most analyses do not incorporate information about the physical position of network nodes. Here, we provide a multimodal macroscopic network characterization while considering the physical positions of nodes. To do so, we examined anatomical and functional macroscopic brain networks in a sample of twenty healthy subjects. Anatomical networks are obtained with a graph based tractography algorithm from diffusion-weighted magnetic resonance images (DW-MRI). Anatomical con- nections identified via DW-MRI provided probabilistic constraints for determining the connectedness of 90 dif- ferent brain areas. Functional networks are derived from temporal linear correlations between blood-oxygenation level-dependent signals derived from the same brain areas. Rentian Scaling analysis, a technique adapted from very- large-scale integration circuits analyses, shows that func- tional networks are more random and less optimized than the anatomical networks. We also provide a new metric that allows quantifying the global connectivity arrange- ments for both structural and functional networks. While the functional networks show a higher contribution of inter-hemispheric connections, the anatomical networks highest connections are identified in a dorsal?ventral arrangement. These results indicate that anatomical and functional networks present different connectivity organi- zations that can only be identified when the physical locations of the nodes are included in the analysis.
Internacional
Si
JCR del ISI
Si
Título de la revista
Brain Topography
ISSN
0896-0267
Factor de impacto JCR
2,519
Información de impacto
Volumen
DOI
10.1007/s10548-014-0393-3
Número de revista
Desde la página
1
Hasta la página
10
Mes
SIN MES
Ranking
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Jose Angel Pineda Pardo UPM
  • Autor: Kenia Martínez Universidad Autónoma de Madrid
  • Autor: Ana Beatriz Solana Sanchez UPM
  • Autor: Juan Antonio Hernández Tamames UPM
  • Autor: Roberto Colom Universidad Autonoma de Madrid
  • Autor: Francisco del Pozo Guerrero UPM
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB
  • Departamento: Tecnología Fotónica y Bioingeniería