TY - JOUR
AU - Bruña, R.
AU - Maestú, F.
AU - Pereda, E.
T1 - Phase locking value revisited: Teaching new tricks to an old dog
LA - eng
PY - 2018
T2 - Journal of Neural Engineering
SN - 1741-2552
VL - 15
IS - 5
PB - Institute of Physics Publishing
AB - Objective. 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 in 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. Approach. 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). Main results. 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. Significance. 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.
DO - 10.1088/1741-2552/AACFE4
UR - https://portalciencia.ull.es/documentos/5df8a7db2999525886b7008b
DP - Dialnet - Portal de la Investigación
ER -