Phase Synchronization May Reveal Communication Pathways in Brain Activity

Physics Today ◽  
1999 ◽  
Vol 52 (3) ◽  
pp. 17-19 ◽  
Author(s):  
Richard Fitzgerald
Keyword(s):  
Phase Synchronization ◽  
Brain Activity

scholarly journals Long-range phase synchronization of high-frequency oscillations in human cortex

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
G. Arnulfo ◽  
S. H. Wang ◽  
V. Myrov ◽  
B. Toselli ◽  
J. Hirvonen ◽  
...  
Keyword(s):  
High Frequency ◽  
Large Scale ◽  
Phase Synchronization ◽  
Brain Activity ◽  
Brain Regions ◽  
Spike Timing ◽  
Human Cortex ◽  
Neuronal Communication ◽  
High Frequency Oscillations ◽  
Connectivity Patterns

Abstract Inter-areal synchronization of neuronal oscillations at frequencies below ~100 Hz is a pervasive feature of neuronal activity and is thought to regulate communication in neuronal circuits. In contrast, faster activities and oscillations have been considered to be largely local-circuit-level phenomena without large-scale synchronization between brain regions. We show, using human intracerebral recordings, that 100–400 Hz high-frequency oscillations (HFOs) may be synchronized between widely distributed brain regions. HFO synchronization expresses individual frequency peaks and exhibits reliable connectivity patterns that show stable community structuring. HFO synchronization is also characterized by a laminar profile opposite to that of lower frequencies. Importantly, HFO synchronization is both transiently enhanced and suppressed in separate frequency bands during a response-inhibition task. These findings show that HFO synchronization constitutes a functionally significant form of neuronal spike-timing relationships in brain activity and thus a mesoscopic indication of neuronal communication per se.

PHASE SYNCHRONIZATION OF NEURONAL NOISE IN MOUSE HIPPOCAMPAL EPILEPTIFORM DYNAMICS

2012 ◽  
Vol 23 (01) ◽  
pp. 1250033 ◽  
Author(s):  
DEMITRE SERLETIS ◽  
PETER L. CARLEN ◽  
TAUFIK A. VALIANTE ◽  
BERJ L. BARDAKJIAN
Keyword(s):  
Phase Synchronization ◽  
Brain Activity ◽  
Phase Coupling ◽  
Intact Mouse ◽  
Frequency Bands ◽  
Gamma Frequency ◽  
Nonlinear Phase ◽  
Mouse Hippocampus ◽  
Show Evidence ◽  
Interictal State

Organized brain activity is the result of dynamical, segregated neuronal signals that may be used to investigate synchronization effects using sophisticated neuroengineering techniques. Phase synchrony analysis, in particular, has emerged as a promising methodology to study transient and frequency-specific coupling effects across multi-site signals. In this study, we investigated phase synchronization in intracellular recordings of interictal and ictal epileptiform events recorded from pairs of cells in the whole (intact) mouse hippocampus. In particular, we focused our analysis on the background noise-like activity (NLA), previously reported to exhibit complex neurodynamical properties. Our results show evidence for increased linear and nonlinear phase coupling in NLA across three frequency bands [theta (4–10 Hz), beta (12–30 Hz) and gamma (30–80 Hz)] in the ictal compared to interictal state dynamics. We also present qualitative and statistical evidence for increased phase synchronization in the theta, beta and gamma frequency bands from paired recordings of ictal NLA. Overall, our results validate the use of background NLA in the neurodynamical study of epileptiform transitions and suggest that what is considered "neuronal noise" is amenable to synchronization effects in the spatiotemporal domain.

Fluctuations in phase synchronization in brain activity: physiological interpretations of phase locking patterns

2006 ◽  
Author(s):  
J. L. Perez Velazquez ◽  
L. Garcia Dominguez ◽  
W. Gaetz ◽  
D. Cheyne ◽  
O. C. Snead III ◽  
...  
Keyword(s):  
Phase Synchronization ◽  
Brain Activity ◽  
Phase Locking

scholarly journals Stimulus-induced visual cortical networks are recapitulated by spontaneous local and interareal synchronization

2016 ◽  
Vol 113 (5) ◽  
pp. E606-E615 ◽  
Author(s):  
Christopher M. Lewis ◽  
Conrado A. Bosman ◽  
Thilo Womelsdorf ◽  
Pascal Fries
Keyword(s):  
Phase Synchronization ◽  
Brain Activity ◽  
Brain Organization ◽  
Neuronal Synchronization ◽  
Gamma Frequency ◽  
Dorsal Aspect ◽  
Visual Areas ◽  
Multiple Levels ◽  
Visual Cortical ◽  
Signal Correlation

Intrinsic covariation of brain activity has been studied across many levels of brain organization. Between visual areas, neuronal activity covaries primarily among portions with similar retinotopic selectivity. We hypothesized that spontaneous interareal coactivation is subserved by neuronal synchronization. We performed simultaneous high-density electrocorticographic recordings across the dorsal aspect of several visual areas in one hemisphere in each of two awake monkeys to investigate spatial patterns of local and interareal synchronization. We show that stimulation-induced patterns of interareal coactivation were reactivated in the absence of stimulation for the visual quadrant covered. Reactivation occurred through both interareal cofluctuation of local activity and interareal phase synchronization. Furthermore, the trial-by-trial covariance of the induced responses recapitulated the pattern of interareal coupling observed during stimulation, i.e., the signal correlation. Reactivation-related synchronization showed distinct peaks in the theta, alpha, and gamma frequency bands. During passive states, this rhythmic reactivation was augmented by specific patterns of arrhythmic correspondence. These results suggest that networks of intrinsic covariation observed at multiple levels and with several recording techniques are related to synchronization and that behavioral state may affect the structure of intrinsic dynamics.

P119 Repetitive TMS can modulate local phase and global phase synchronization of human brain activity

2017 ◽  
Vol 128 (3) ◽  
pp. e73
Author(s):  
Y. Okazaki ◽  
Y. Nakagawa ◽  
T. Hanakawa ◽  
Y. Mizuno ◽  
K. Kitajo
Keyword(s):  
Human Brain ◽  
Phase Synchronization ◽  
Brain Activity ◽  
Local Phase ◽  
Repetitive Tms

scholarly journals Neuronal Oscillatory Signatures of Joint Attention and Intersubjectivity in Arrhythmic Coaction

2021 ◽  
Vol 15 ◽  
Author(s):  
Alexander Maÿe ◽  
Tiezhi Wang ◽  
Andreas K. Engel
Keyword(s):  
Executive Control ◽  
Emotional Processing ◽  
Subjective Experience ◽  
Phase Synchronization ◽  
Specific Activity ◽  
Brain Activity ◽  
Neural Correlates ◽  
Brain Regions ◽  
Music Making ◽  
The Brain

Hyper-brain studies analyze the brain activity of two or more individuals during some form of interaction. Several studies found signs of inter-subject brain activity coordination, such as power and phase synchronization or information flow. This hyper-brain coordination is frequently studied in paradigms which induce rhythms or even synchronization, e.g., by mirroring movements, turn-based activity in card or economic games, or joint music making. It is therefore interesting to figure out in how far coordinated brain activity may be induced by a rhythmicity in the task and/or the sensory feedback that the partners receive. We therefore studied the EEG brain activity of dyads in a task that required the smooth pursuit of a target and did not involve any extrinsic rhythms. Partners controlled orthogonal axes of the two-dimensional motion of an object that had to be kept on the target. Using several methods for analyzing hyper-brain coupling, we could not detect signs of coordinated brain activity. However, we found several brain regions in which the frequency-specific activity significantly correlated with the objective task performance, the subjective experience thereof, and of the collaboration. Activity in these regions has been linked to motor control, sensorimotor integration, executive control and emotional processing. Our results suggest that neural correlates of intersubjectivity encompass large parts of brain areas that are considered to be involved in sensorimotor control without necessarily coordinating their activity across agents.

scholarly journals The complexity of the relationship between spontaneous brain activity and glucose metabolism

2021 ◽  
Author(s):  
Tommaso Volpi ◽  
Erica Silvestri ◽  
Marco Aiello ◽  
Maurizio Corbetta ◽  
Alessandra Bertoldo
Keyword(s):  
Glucose Metabolism ◽  
Large Scale ◽  
Phase Synchronization ◽  
Brain Activity ◽  
Population Level ◽  
Multilevel Modelling ◽  
Standard Uptake Value ◽  
Coupling Model ◽  
Spontaneous Brain Activity ◽  
Positron Emission

Abstract Brain glucose metabolism as assessed by [18F]FDG positron emission tomography (PET) is expected to be significantly related to resting-state functional MRI (rs-fMRI) activity and functional connectivity (FC), but the underlying coupling model is still incompletely understood. Employing simultaneous acquisitions, we related [18F]FDG standard uptake value ratio (SUVR) to 50 features pertaining to rs-fMRI 1) signal, 2) hemodynamic response, 3) static and 4) time-varying FC, and 5) phase synchronization. To assess which rs-fMRI variables better describe SUVR across regions, we employed a hierarchical approach, identifying the model at population level, and then estimating it on individual data. Multilevel modelling explained around 40% of the SUVR variance, with signal-related features as the most relevant fMRI variables. When the model was used to characterize between-network variability of the SUVR-fMRI coupling, the ranking changed. We demonstrate that local activity and synchronization are the most important predictors of glucose metabolism, while large-scale FC properties gain importance within specific networks.

scholarly journals Long-range phase synchronization of high-gamma activity in human cortex

2018 ◽  
Author(s):  
G Arnulfo ◽  
SH Wang ◽  
B Toselli ◽  
N Williams ◽  
J Hirvonen ◽  
...  
Keyword(s):  
Resting State ◽  
Phase Synchronization ◽  
Brain Activity ◽  
Spike Timing ◽  
Gamma Activity ◽  
Cortical Circuits ◽  
Human Cortex ◽  
Neuronal Communication ◽  
High Gamma ◽  
Per Se

AbstractInter-areal synchronization of neuronal oscillations below 100 Hz is ubiquitous in cortical circuitry and thought to regulate neuronal communication. In contrast, faster activities are generally considered to be exclusively local-circuit phenomena. We show with human intracerebral recordings that 100–300 Hz high-gamma activity (HGA) may be synchronized between widely distributed regions. HGA synchronization was not attributable to artefacts or to epileptic pathophysiology. Instead, HGA synchronization exhibited a reliable cortical connectivity and community structures, and a laminar profile opposite to that of lower frequencies. Importantly, HGA synchronization among functional brain systems during non-REM sleep was distinct from that in resting state. Moreover, HGA synchronization was transiently enhanced for correctly inhibited responses in a Go/NoGo task. These findings show that HGA synchronization constitutes a new, functionally significant form of neuronal spike-timing relationships in brain activity. We suggest that HGA synchronization reflects the temporal microstructure of spiking-based neuronal communication per se in cortical circuits.

scholarly journals Stimulus induced visual cortical networks are recapitulated by spontaneous local and inter-areal synchronization

2015 ◽  
Author(s):  
Christopher Lewis ◽  
Conrado Bosmann ◽  
Thilo Womelsdorf ◽  
Pascal Fries
Keyword(s):  
Phase Synchronization ◽  
Brain Activity ◽  
Brain Organization ◽  
Neuronal Synchronization ◽  
Gamma Frequency ◽  
Co Activation ◽  
Visual Areas ◽  
Multiple Levels ◽  
Visual Cortical ◽  
Signal Correlation

Intrinsic covariation of brain activity has been studied across many levels of brain organization. Between visual areas, neuronal activity covaries primarily among portions with similar retinotopic selectivity. We hypothesized that spontaneous inter-areal co-activation is subserved by neuronal synchronization. We performed simultaneous high-density electrocorticographic recordings across several visual areas in awake monkeys to investigate spatial patterns of local and inter-areal synchronization. We show that stimulation-induced patterns of inter-areal co-activation were reactivated in the absence of stimulation. Reactivation occurred through both, inter-areal co-fluctuation of local activity and inter-areal phase synchronization. Furthermore, the trial-by-trial covariance of the induced responses recapitulated the pattern of inter-areal coupling observed during stimulation, i.e. the signal correlation. Reactivation-related synchronization showed distinct peaks in the theta, alpha and gamma frequency bands. During passive states, this rhythmic reactivation was augmented by specific patterns of arrhythmic correspondence. These results suggest that networks of intrinsic covariation observed at multiple levels and with several recording techniques are related to synchronization and that behavioral state may affect the structure of intrinsic dynamics.

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