Observatorio de I+D+i UPM

Memorias de investigación
Artículos en revistas:
Phase Locking Value revisited: teaching new tricks to an old dog
Año:2018
Áreas de investigación
  • Tratamiento de señales bioeléctricas,
  • Procesado y análisis de la señal
Datos
Descripción
Despite the increase in calculation power over the last few decades, the estimation of brain connectivity is still a tedious task. The high computational cost of the algorithms escalates with the square of the number of signals evaluated, usually within the range of thousands. In this work we propose a re-formulation of a widely used algorithm that allows the estimation of whole brain connectivity in much smaller times. We start from the original implementation of Phase Locking Value (PLV) and re-formulated it in a computationally very efficient way. What is more, this formulation stresses its strong similarity with coherence, which we used to introduce two new metrics insensitive to zero lag synchronization: the imaginary part of PLV (iPLV) and its corrected counterpart (ciPLV). The new implementation of PLV avoids some highly CPU-expensive operations and achieves a 100-fold speedup over the original algorithm. The new derived metrics were highly robust in the presence of volume conduction. Moreover, ciPLV proved capable of ignoring zero-lag connectivity, while correctly estimating nonzero-lag connectivity. Our implementation of PLV makes it possible to calculate whole-brain connectivity in much shorter times. The results of the simulations using ciPLV suggest that this metric is ideal to measure synchronization in the presence of volume conduction or source leakage effects.
Internacional
Si
JCR del ISI
Si
Título de la revista
Journal of Neural Engineering
ISSN
1741-2560
Factor de impacto JCR
3,465
Información de impacto
Datos JCR del año 2016
Volumen
15
DOI
10.1088/1741-2552/aacfe4
Número de revista
Desde la página
056011
Hasta la página
056011
Mes
JULIO
Ranking
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Ricardo Bruña Fernandez (UPM)
  • Autor: Fernando Maestu Unturbe (UPM)
  • Autor: Ernesto Pereda De Pablos (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Tecnologías para Ciencias de la Salud
  • Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB
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