Measuring phase synchrony in brain signals
By Jean-Philippe Lachaux, Eugenio Rodríguez, Jacques Martinerie, F. Varela. 1999
Subfields: Cognitive Neuroscience, Neuroscience, Signal Processing
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Carlos González-García
- S. Formica
- Mengsen Zhang
- D. Marinazzo
- Timothy H. Lucas
- Vivek P. Buch
- Andrew G. Richardson
- Ashwin G. Ramayya
In Neuroscience
In Signal Processing
Citations in the corpus
- Temporal order of activations and interactions during arithmetic calculations measured by intracranial electrophysiological recordings in the human brain (2026, unknown): “To quantify the interactions and their temporal changes between the different ROIs of the arithmetic network, we computed the PLV 44 for each sample across trials using the “filter-Hilbert” approach 48,85 .”
- Distributed theta networks support the control of working memory: Evidence from scalp and intracranial EEG (2025, unknown): “Functional connectivity was quantified per timepoint as the PLV independent of amplitude (Lachaux et al., 1999).”
- Bridging verbal coordination and neural dynamics (2025, unknown): “To quantify the degree of coordination of the verbal interaction (verbal coordination index, VCI) we computed the phase locking value using mne_connectivity python function spectral_connectivity_time with the method ‘plv’ based on the phase locking value index proposed by Lachaux et al. (1999).”
- Dichotomous frequency-dependent phase synchrony in the sensorimotor network characterizes simplistic movement (2024, methodology): “Unlike previous methods of connectivity used in motor network electrocorticography (time-varying dynamic Bayesian networks) 19,20 , phase-based functional connectivity estimates provide a method to investigate the fre-quency-dependency of the coordinated network activity 13,32 .”
- Simultaneous invasive and non-invasive recordings in humans: A novel Rosetta stone for deciphering brain activity (2024, unknown): “The higher resolution of iEEG allows researchers to reverse this paradigm, investigating for instance the neuroanatomical, connectomics, or functional bases underlying activities deviating from population-based findings (Lachaux et al., 1999).”
- Altered network connectivity and global efficiency in tourette syndrome: insights into sensorimotor integration (2025, unknown): “Phase locking values (PLVs) provide a metric to quantify the degree of synchronization between neural oscillations across different brain areas and to investigate dynamic network communication (Lachaux et al., 1999).”
- Oscillatory entrainment to our early social or physical environment and the emergence of volitional control (2022, unknown): “This can be measured, for example, by calculating the Phase Locking Value (Lachaux et al., 1999).”
- Interplay between preclinical indices of obesity and neural signatures of fluid intelligence in youth (2024, unknown): “6A), and then normalized this mean active period value by the mean PLV during the pre-stimulus baseline period per participant.”
- The absence of one’s intimate partner promotes dyadic competition through enhanced interbrain synchronization between opponents (2024, methodology): “Frontiers in Psychology 04 frontiersin.org The PLV was used to indicate neural synchronization, and PLV calculations were performed on everyone’s EEG data (Lachaux et al., 1999).”
- Theta-Phase Connectivity between Medial Prefrontal and Posterior Areas Underlies Novel Instructions Implementation (2022, methodology): “Then, we computed the phase-locking value (PLV), a measure reflecting the instantaneous phase difference between two signals, with the assumption that two brain areas that are configured to communicate efficiently should have a constant phase difference (Lachaux et al., 1999; Mormann et al., 2000).”
- Top-down selection of visual working memory contents is supported by alpha-band phase-synchronized oscillatory networks (2025, unknown): “We computed phase-synchronization for each wavelet frequency using the imaginary part of the complex phase-locking value (iPLV) ( Lachaux et al., 1999; Rouhinen et al., 2020) that is insensitive to zero-lag interactions and hence yields neither artificial nor true zero lag couplings ( J. M. Palva…”
- Cell type-specific excitability probed by optogenetic stimulation depends on the phase of the alpha oscillation (2022, background): “, where N is the total number of spikes of the unit [56].”
- Dynamic signatures of the Eureka effect: an EEG study (2021, unknown): “(Lachaux et al., 1999; Srinath and Ray, 2014) and serve as an index for the synchronization of different neuron groups.”