Views provided by UsageCounts
pmid: 21871489
Recent studies have observed the ubiquity of phase-amplitude coupling (PAC) phenomenon in human and animal brain recordings. While various methods were performed to quantify it, a rigorous analytical definition of PAC is lacking. This paper yields an analytical definition and accordingly offers theoretical insights into some of the current methods. A direct PAC estimator based on the given definition is presented and shown theoretically to be superior to some of the previous methods such as general linear model (GLM) estimator. It is also shown that the proposed PAC estimator is equivalent to GLM estimator when a constant term is removed from its formulation. The validity of the derivations is demonstrated with simulated data of varying noise levels and local field potentials recorded from the subthalamic nucleus of a Parkinson's disease patient.
Neurons, Time Factors, Action Potentials, Reproducibility of Results, Parkinson Disease, Signal Processing, Computer-Assisted, Electrophysiology, Disease Models, Animal, Subthalamic Nucleus, Reaction Time, Animals, Humans
Neurons, Time Factors, Action Potentials, Reproducibility of Results, Parkinson Disease, Signal Processing, Computer-Assisted, Electrophysiology, Disease Models, Animal, Subthalamic Nucleus, Reaction Time, Animals, Humans
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 115 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
| views | 5 |

Views provided by UsageCounts