2019
DOI: 10.1109/tmi.2018.2873423
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Phase Linearity Measurement: A Novel Index for Brain Functional Connectivity

Abstract: The problem of describing how different brain areas interact between each other has been granted a great deal of attention in the last years. The idea that neuronal ensembles behave as oscillators and that they communicate through synchronization is now widely accepted. To this regard, EEG and MEG provide the signals that allow the estimation of such communication in vivo. Hence, phase-based metrics are essential. However, the application of phasedbased metrics for measuring brain connectivity has proved probl… Show more

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Cited by 38 publications
(61 citation statements)
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“…With regard to the analysis of real data, we used sourcereconstructed MEG signals that have been recorded from healthy subjects from the MEG facility in Naples, Italy. As expected from our previous work, nearly in all cases the most prominent peak in the interferometric spectrum was the one occurring at 0 Hz [13] . This is not surprising, taking into account the importance of iso-frequency synchronization in the human brain [2].…”
Section: Discussionsupporting
confidence: 89%
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“…With regard to the analysis of real data, we used sourcereconstructed MEG signals that have been recorded from healthy subjects from the MEG facility in Naples, Italy. As expected from our previous work, nearly in all cases the most prominent peak in the interferometric spectrum was the one occurring at 0 Hz [13] . This is not surprising, taking into account the importance of iso-frequency synchronization in the human brain [2].…”
Section: Discussionsupporting
confidence: 89%
“…The proposed metric is based on the analysis of the shape of the interferometric spectrum of the two signals. This approach is an evolution of a previously published metrics, the phase linearity measurement (PLM), that uses the interferometric spectrum to detect the presence of iso-frequency synchronization [13]. In brief, the proposed approach explores the interferometric spectrum, looking for the presence of power peaks at frequencies different from 0 Hz (related to the iso-frequency coupling).…”
Section: Discussionmentioning
confidence: 99%
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