Do sustained and long range zero-phase lag correlations develop in the human brain?

Gareth, Barnes

doi:10.3389/conf.fnins.2010.06.00030

Cited by 1 publication

(1 citation statement)

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“…Therefore, algorithms like amplitudephase coherence and cross-correlation are very useful in this kind of application [6,11]. Signals from two distant brain regions are generated by different cell assemblies and do not have a rigid phase-relationship [12]. Therefore, linear algorithms are not suitable for this type of application.…”

Section: Introductionmentioning

confidence: 99%

Mapping the Information Trace in Local Field Potentials by a Computational Method of Two-Dimensional Time-Shifting Synchronization Likelihood Based on Graphic Processing Unit Acceleration

Zhao

Wan

2017

Neurosci. Bull.

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The local field potential (LFP) is a signal reflecting the electrical activity of neurons surrounding the electrode tip. Synchronization between LFP signals provides important details about how neural networks are organized. Synchronization between two distant brain regions is hard to detect using linear synchronization algorithms like correlation and coherence. Synchronization likelihood (SL) is a non-linear synchronization-detecting algorithm widely used in studies of neural signals from two distant brain areas. One drawback of non-linear algorithms is the heavy computational burden. In the present study, we proposed a graphic processing unit (GPU)-accelerated implementation of an SL algorithm with optional 2-dimensional time-shifting. We tested the algorithm with both artificial data and raw LFP data. The results showed that this method revealed detailed information from original data with the synchronization values of two temporal axes, delay time and onset time, and thus can be used to reconstruct the temporal structure of a neural network. Our results suggest that this GPU-accelerated method can be extended to other algorithms for processing time-series signals (like EEG and fMRI) using similar recording techniques.

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Section: Introductionmentioning

confidence: 99%