On the recording reference contribution to EEG correlation, phase synchrony, and coherence.
- Authors
- Hu, Sanqing; Stead, Matt; Dai, Qionghai; Worrell, Gregory A
- Year
- 2010
- Journal
- IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society
- PMID
- 20106746
- DOI
- 10.1109/TSMCB.2009.2037237
- PMCID
- PMC2891575
The degree of synchronization in electroencephalography (EEG) signals is commonly characterized by the time-series measures, namely, correlation, phase synchrony, and magnitude squared coherence (MSC). However, it is now well established that the interpretation of the results from these measures are confounded by the recording reference signal and that this problem is not mitigated by the use of other EEG montages, such as bipolar and average reference. In this paper, we analyze the impact of reference signal amplitude and power on EEG signal correlation, phase synchrony, and MSC. We show that, first, when two nonreferential signals have negative correlation, the phase synchrony and the absolute value of the correlation of the two referential signals may have two regions of behavior characterized by a monotonic decrease to zero and then a monotonic increase to one as the amplitude of the reference signal varies in [0, +β). It is notable that even a small change of the amplitude may lead to significant impact on these two measures. Second, when two nonreferential signals have positive correlation, the correlation and phase-synchrony values of the two referential signals can monotonically increase to one (or monotonically decrease to some positive value and then monotonically increase to one) as the amplitude of the reference signal varies in [0, +β). Third, when two nonreferential signals have negative cross-power, the MSC of the two referential signals can monotonically decrease to zero and then monotonically increase to one as reference signal power varies in [0, +β). Fourth, when two nonreferential signals have positive cross-power, the MSC of the two referential signals can monotonically increase to one as the reference signal power varies in [0, +β). In general, the reference signal with small amplitude or power relative to the signals of interest may decrease or increase the values of correlation, phase synchrony, and MSC. However, the reference signal with high relative amplitude or power will always increase each of the three measures. In our previous paper, we developed a method to identify and extract the reference signal contribution to intracranial EEG (iEEG) recordings. In this paper, we apply this approach to referential iEEG recorded from human subjects and directly investigate the contribution of recording reference on correlation, phase synchrony, and MSC. The experimental results demonstrate the significant impact that the recording reference may have on these bivariate measures.
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| Recursive dynamic functional connectivity reveals a characteristic correlation structure in human scalp EEG. | Panwar S et al. | β | 2021 | β |
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| The Listening Zone of Human Electrocorticographic Field Potential Recordings | McCarty MJ et al. | β | 2021 | β |
| Localization of deep brain activity with scalp and subdural EEG. | Fahimi Hnazaee M et al. | β | 2020 | β |
| Correlation Structure in Micro-ECoG Recordings is Described by Spatially Coherent Components. | Rogers N et al. | β | 2019 | β |
| The Influence of EEG References on the Analysis of Spatio-Temporal Interrelation Patterns. | RΓos-Herrera WA et al. | β | 2019 | β |
| Use of machine learning in predicting clinical response to transcranial magnetic stimulation in comorbid posttraumatic stress disorder and major depression: A resting state electroencephalography study. | Zandvakili A et al. | β | 2019 | β |
| How motor, cognitive and musical expertise shapes the brain: Focus on fMRI and EEG resting-state functional connectivity. | Cantou P et al. | β | 2018 | β |
| Impact of type of intracranial EEG sensors on link strengths of evolving functional brain networks. | Sanz-Garcia A et al. | β | 2018 | β |
| The Effect of Common Signals on Power, Coherence and Granger Causality: Theoretical Review, Simulations, and Empirical Analysis of Fruit Fly LFPs Data. | Cohen D et al. | β | 2018 | β |
| What does scalp electroencephalogram coherence tell us about long-range cortical networks? | Snyder AC et al. | β | 2018 | β |
| Behavioral state classification in epileptic brain using intracranial electrophysiology. | Kremen V et al. | β | 2017 | β |
| Surrogate-assisted identification of influences of network construction on evolving weighted functional networks. | Stahn K et al. | β | 2017 | β |
| Which Brain Regions are Important for Seizure Dynamics in Epileptic Networks? Influence of Link Identification and EEG Recording Montage on Node Centralities. | Geier C et al. | β | 2017 | β |
| Effect of Reference Scheme on Power and Phase of the Local Field Potential. | Shirhatti V et al. | β | 2016 | β |
| Temporal correlation between two channels EEG of bipolar lead in the head midline is associated with sleep-wake stages. | Li Y et al. | β | 2016 | β |
| The functional organization of human epileptic hippocampus. | Klimes P et al. | β | 2016 | β |
| Direct Causal Networks for the Study of Transcranial Magnetic Stimulation Effects on Focal Epileptiform Discharges. | Kugiumtzis D et al. | β | 2015 | β |
| Opportunities and methodological challenges in EEG and MEG resting state functional brain network research. | van Diessen E et al. | β | 2015 | β |
| Phase and amplitude correlations in resting-state activity in human stereotactical EEG recordings. | Arnulfo G et al. | β | 2015 | β |
| Reduced long-range functional connectivity in young children with autism spectrum disorder. | Kikuchi M et al. | β | 2015 | β |
| The PREP pipeline: standardized preprocessing for large-scale EEG analysis. | Bigdely-Shamlo N et al. | β | 2015 | β |
| A statistically robust EEG re-referencing procedure to mitigate reference effect. | Lepage KQ et al. | β | 2014 | β |
| Can spurious indications for phase synchronization due to superimposed signals be avoided? | Porz S et al. | β | 2014 | β |
| Functional connectivity in major depression: increased phase synchronization between frontal cortical EEG-source estimates. | Olbrich S et al. | β | 2014 | β |
| A unified treatment of the reference estimation problem in depth EEG recordings. | Madhu N et al. | β | 2012 | β |
| Identifying important nodes in weighted functional brain networks: a comparison of different centrality approaches. | Kuhnert MT et al. | β | 2012 | β |
| Inferring functional neural connectivity with phase synchronization analysis: a review of methodology. | Sun J et al. | β | 2012 | β |
| Phase synchronization analysis of EEG signals: an evaluation based on surrogate tests. | Junfeng Sun et al. | β | 2012 | β |
| Phase synchrony in the early preterm EEG: development of methods for estimating synchrony in both oscillations and events. | Tokariev A et al. | β | 2012 | β |
| Reliability of quantitative EEG (qEEG) measures and LORETA current source density at 30 days. | Cannon RL et al. | β | 2012 | β |
| Towards the utilization of EEG as a brain imaging tool. | Michel CM et al. | β | 2012 | β |
| Assessing directed interactions from neurophysiological signals--an overview. | Lehnertz K | β | 2011 | β |
| Causality analysis of neural connectivity: critical examination of existing methods and advances of new methods. | Hu S et al. | β | 2011 | β |
| Synchrony in normal and focal epileptic brain: the seizure onset zone is functionally disconnected. | Warren CP et al. | β | 2010 | β |