The timing of theta phase synchronization accords with vigilant attention

2017 ◽  
Author(s):  
Jinwen Wei ◽  
Yufeng Ke ◽  
Chang Sun ◽  
Xingwei An ◽  
Hongzhi Qi ◽  
...  
Keyword(s):  
Phase Synchronization ◽  
Theta Phase

scholarly journals Experienced Meditators Exhibit No Differences to Demographically Matched Controls in Theta Phase Synchronization, P200, or P300 During an Auditory Oddball Task

Mindfulness ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 643-659 ◽  
Author(s):  
Jake Robert Payne ◽  
Oliver Baell ◽  
Harry Geddes ◽  
Bernadette Fitzgibbon ◽  
Melanie Emonson ◽  
...  
Keyword(s):  
Phase Synchronization ◽  
Auditory Oddball ◽  
Oddball Task ◽  
Theta Phase ◽  
Auditory Oddball Task

Dissociated theta phase synchronization in amygdalo- hippocampal circuits during various stages of fear memory

2007 ◽  
Vol 25 (6) ◽  
pp. 1823-1831 ◽  
Author(s):  
Rajeevan T. Narayanan ◽  
Thomas Seidenbecher ◽  
Christian Kluge ◽  
Jorge Bergado ◽  
Oliver Stork ◽  
...  
Keyword(s):  
Phase Synchronization ◽  
Fear Memory ◽  
Theta Phase

scholarly journals Heartbeat evokes a dynamically changing cortical theta-synchronized network in the resting state

2019 ◽  
Author(s):  
Jaejoong Kim ◽  
Bumseok Jeong
Keyword(s):  
Resting State ◽  
Phase Synchronization ◽  
Human Subjects ◽  
Predictive Coding ◽  
Regional Level ◽  
Human Connectome Project ◽  
Cortical Responses ◽  
Theta Frequency ◽  
Theta Phase ◽  
Cortical Regions

AbstractIn the resting state, heartbeats evoke cortical responses called heartbeat-evoked responses (HERs). While previous studies reported regional level HERs, researchers have not determined how heartbeat is processed at the cortical network level. Using resting-state magnetoencephalography data from 87 human subjects of both genders provided by the Human Connectome Project, we first showed that heartbeat increases the phase synchronization between cortical regions in the theta frequency, which forms a network structure, and we called this network a heartbeat-evoked network (HEN). The HEN was not an artefactual increase in phase synchronization. The HEN was partitioned into three modules with connector hubs in each module. The first module contained major interoception-related regions and thus was called a visceromotor-interoceptive network (VIN) displaying the strongest synchronization among modules, suggesting a major role for the VIN in processing heartbeat information. Two modules contained regions involved in the default mode network (DMN). The HEN structure was not fixed, but dynamically changed. The most prominent change was observed at approximately 200 ms after R-peak of the electrocardiogram, which was quantified based on the ‘flexibility’ of the network. Furthermore, the strongest synchronization within VIN was observed before heartbeat stimulated the cortex, which might be related to the prediction of an afferent heartbeat signal, thus supporting an interoceptive coding framework. Based on our results, the heartbeat is processed at the network level, and this result provides a useful framework that may potentially explain previous results of the regional level HER modulation through network-level processing.Significance statementThe resting-state network is composed of several networks supporting different functions. However, although the heartbeat is processed in the cortical regions, even in the resting state, the network supporting this function is unknown. Thus, we identified and investigated the heartbeat-evoked network (HEN), a network composed of significantly increased theta-phase synchronization between cortical regions after a heartbeat. The HEN comprised three modules. In particularly, the visceromotor-interoceptive network was likely to play a major role in network-level heartbeat processing and displayed the strongest synchronization immediately before the heartbeat enters the CNS, which supports an interoceptive predictive coding framework. These results provide a novel framework that may improve our understanding of cortical heartbeat processing from a network perspective.

scholarly journals Fronto-temporal theta phase-synchronization underlies music-evoked pleasantness

NeuroImage ◽  
2020 ◽  
Vol 212 ◽  
pp. 116665 ◽  
Author(s):  
Alberto Ara ◽  
Josep Marco-Pallarés
Keyword(s):  
Phase Synchronization ◽  
Theta Phase

scholarly journals Theta Phase Synchronization Is the Glue that Binds Human Associative Memory

2017 ◽  
Vol 27 (20) ◽  
pp. 3143-3148.e6 ◽  
Author(s):  
Andrew Clouter ◽  
Kimron L. Shapiro ◽  
Simon Hanslmayr
Keyword(s):  
Associative Memory ◽  
Phase Synchronization ◽  
Theta Phase

scholarly journals Different theta connectivity patterns underlie pleasantness evoked by familiar and unfamiliar music

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Alberto Ara ◽  
Josep Marco-Pallarés
Keyword(s):  
Present Experiment ◽  
Phase Synchronization ◽  
Temporal Dynamics ◽  
Oscillatory Activity ◽  
Connectivity Patterns ◽  
Theta Phase ◽  
Oscillatory Mechanisms ◽  
The Brain ◽  
Healthy Participants

AbstractMusic-evoked pleasantness has been extensively reported to be modulated by familiarity. Nevertheless, while the brain temporal dynamics underlying the process of giving value to music are beginning to be understood, little is known about how familiarity might modulate the oscillatory activity associated with music-evoked pleasantness. The goal of the present experiment was to study the influence of familiarity in the relation between theta phase synchronization and music-evoked pleasantness. EEG was recorded from 22 healthy participants while they were listening to both familiar and unfamiliar music and rating the experienced degree of evoked pleasantness. By exploring interactions, we found that right fronto-temporal theta synchronization was positively associated with music-evoked pleasantness when listening to unfamiliar music. On the contrary, inter-hemispheric temporo-parietal theta synchronization was positively associated with music-evoked pleasantness when listening to familiar music. These results shed some light on the possible oscillatory mechanisms underlying fronto-temporal and temporo-parietal connectivity and their relationship with music-evoked pleasantness and familiarity.

scholarly journals Theta phase synchronization between the human hippocampus and the prefrontal cortex supports learning of unexpected information

2017 ◽  
Author(s):  
Matthias J. Gruber ◽  
Liang-Tien Hsieh ◽  
Bernhard P. Staresina ◽  
Christian E. Elger ◽  
Juergen Fell ◽  
...  
Keyword(s):  
Prefrontal Cortex ◽  
Phase Synchronization ◽  
Theta Oscillations ◽  
Presurgical Evaluation ◽  
Human Hippocampus ◽  
Electrophysiological Recordings ◽  
Rhinal Cortex ◽  
Theta Phase ◽  
Oscillatory Mechanisms ◽  
Rare Opportunity

AbstractEvents that violate predictions are thought to not only modulate activity within the hippocampus and prefrontal cortex, but also to enhance communication between the two regions. Several studies in rodents have shown that synchronized theta oscillations facilitate communication between the prefrontal cortex and hippocampus during salient events, but it remains unclear whether similar oscillatory mechanisms support interactions between the two regions in humans. Here, we had the rare opportunity to conduct simultaneous electrophysiological recordings from the human hippocampus and prefrontal cortex from two patients undergoing presurgical evaluation for pharmaco-resistant epilepsy. Recordings were conducted during a task that involved encoding of contextually expected and unexpected visual stimuli. Across both patients, hippocampal-prefrontal theta phase synchronization was significantly higher during encoding of unexpected study items, compared to contextually expected study items. In contrast, we did not find increased theta synchronization between the prefrontal cortex and rhinal cortex. Our findings are consistent with the idea that theta oscillations orchestrate communication between the hippocampus and prefrontal cortex during the processing of contextually salient information.

scholarly journals Phase-amplitude coupling and phase synchronization between medial temporal, frontal and posterior brain regions support episodic autobiographical memory recall

2021 ◽  
Author(s):  
Nicolas Roehri ◽  
Lucie Br&eacutechet ◽  
Martin Seeber ◽  
Alvaro Pascual-Leone ◽  
Christoph M Michel
Keyword(s):  
Autobiographical Memory ◽  
Temporal Lobe ◽  
Phase Synchronization ◽  
Gamma Oscillations ◽  
Brain Regions ◽  
Single Frequency ◽  
Phase Synchrony ◽  
Theta Phase ◽  
Eeg Recordings ◽  
Phase Amplitude

Episodic autobiographical memory (EAM) is a complex cognitive function that emerges from the coordination of specific and distant brain regions. Specific brain rhythms, namely theta and gamma oscillations and their synchronization, are thought of as putative mechanisms enabling EAM. Yet, the mechanisms of inter-regional interaction in the EAM network remain unclear in humans at the whole brain level. To investigate this, we analyzed EEG recordings of participants instructed to retrieve autobiographical episodes. EEG recordings were projected in the source space, and time-courses of atlas-based brain regions-of-interest (ROIs) were derived. Directed phase synchrony in high theta (7-10 Hz) and gamma (30-80 Hz) bands and high theta-gamma phase-amplitude coupling were computed between each pair of ROIs. Using network-based statistics, a graph-theory method, we found statistically significant networks for each investigated mechanism. In the gamma band, two sub-networks were found, one between the posterior cingulate cortex (PCC) and the medial temporal lobe (MTL) and another within the medial frontal areas. In the high theta band, we found a PCC to ventromedial prefrontal cortex (vmPFC) network. In phase-amplitude coupling, we found the high theta phase of the left MTL biasing the gamma amplitude of posterior regions and the vmPFC. Other regions of the temporal lobe and the insula were also phase biasing the vmPFC. These findings suggest that EAM, rather than emerging from a single mechanism at a single frequency, involves precise spatio-temporal signatures mapping on distinct memory processes. We propose that the MTL orchestrates activity in vmPFC and PCC via precise phase-amplitude coupling, with vmPFC and PCC interaction via high theta phase synchrony and gamma synchronization contributing to bind information within the PCC-MTL sub-network or valuate the candidate memory within the medial frontal sub-network.

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