Complex Periodicity and Synchronization

Mahmoodi, Korosh; West, Bruce J.; Grigolini, Paolo

doi:10.3389/fphys.2020.563068

Cited by 5 publications

(10 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This discrete correction process remains marginal, however, and synchronization seemed mainly achieved through complexity matching. The attraction of participants' complexity toward that of their guide represents a nice experimental validation of the formal result of Mahmoodi et al (2020), stating that when two systems of different levels of complexity interact, the most complex tends to attract the less one. The present results confirm that this effect depends on the strength of coupling between the two systems in interaction.…”

Section: Discussionmentioning

confidence: 92%

Restoring Walking Complexity in Older Adults Through Arm-in-Arm Walking: Were Almurad et al.’s (2018) Results an Artifact?

et al. 2021

View full text Add to dashboard Cite

The analysis of stride series revealed a loss of complexity in older people, which correlated with the falling propensity. A recent experiment evidenced an increase of walking complexity in older participants when they walked in close synchrony with a younger companion. Moreover, a prolonged experience of such synchronized walking yielded a persistent restoration of complexity. This result, however, was obtained with a unique healthy partner, and it could be related to a particular partner’s behavior. The authors’ aim was to replicate this important finding using a different healthy partner and to compare the results to those previously obtained. The authors successfully replicated the previous results: synchronization yielded an attraction of participants’ complexity toward that of their partner and a restoration of complexity that persisted in two posttests, 2 and 6 weeks after the end of the training sessions. This study shows that this complexity restoration protocol can be applied successfully with another partner, and allows us to conclude that it can be generalized.

show abstract

Section: Discussionmentioning

confidence: 92%

Restoring Walking Complexity in Older Adults Through Arm-in-Arm Walking: Were Almurad et al.’s (2018) Results an Artifact?

et al. 2021

View full text Add to dashboard Cite

show abstract

“…Our analysis suggests the necessity of considering both the brain’s intrinsic and the environment’s extrinsic noise colors to understand the brain-environment interaction, including its relevance for consciousness. The idea that a system comprising complex dynamics, such as pink noise in the human brain, responds best to other systems that approximately share the same dynamics describes complexity matching 43 , 57 , 58 . Many empirical findings shed light on complexity matching between systems, such as the human body, and environmental stimuli 57 , 59 – 62 .…”

Section: Discussionmentioning

confidence: 99%

Scale-free dynamics in the core-periphery topography and task alignment decline from conscious to unconscious states

et al. 2023

View full text Add to dashboard Cite

Scale-free physiological processes are ubiquitous in the human organism. Resting-state functional MRI studies observed the loss of scale-free dynamics under anesthesia. In contrast, the modulation of scale-free dynamics during task-related activity remains an open question. We investigate scale-free dynamics in the cerebral cortex’s unimodal periphery and transmodal core topography in rest and task states during three conscious levels (awake, sedation, and anesthesia) complemented by computational modelling (Stuart-Landau model). The empirical findings demonstrate that the loss of the brain’s intrinsic scale-free dynamics in the core-periphery topography during anesthesia, where pink noise transforms into white noise, disrupts the brain’s neuronal alignment with the task’s temporal structure. The computational model shows that the stimuli’s scale-free dynamics, namely pink noise distinguishes from brown and white noise, also modulate task-related activity. Together, we provide evidence for two mechanisms of consciousness, temporo-spatial nestedness and alignment, suggested by the Temporo-Spatial Theory of Consciousness (TTC).

show abstract

“…Criticality is a phenomenon requiring the cooperative interaction of units, e.g., the neurons of the brain and is hypothesized as the main source of cognition. Using the criticality-induced intelligence, Mahmoodi et al 8 define complexity as a property of CEs, a statistical form of temporal complexity. They prove that perfect synchronization is due to the interaction between two complex networks, with the more complex network restoring the temporal complexity to the less complex network with the give and take of information over time.…”

Section: Introductionmentioning

confidence: 99%

Complexity synchronization: a measure of interaction between the brain, heart and lungs

Mahmoodi

Kerick

Grigolini

et al. 2023

Sci Rep

Self Cite

View full text Add to dashboard Cite

Herein we address the measurable consequences of the network effect (NE) on time series generated by different parts of the brain, heart, and lung organ-networks (ONs), which are directly related to their inter-network and intra-network interactions. Moreover, these same physiologic ONs have been shown to generate crucial event (CE) time series, and herein are shown, using modified diffusion entropy analysis (MDEA) to have scaling indices with quasiperiodic changes in complexity, as measured by scaling indices, over time. Such time series are generated by different parts of the brain, heart, and lung ONs, and the results do not depend on the underlying coherence properties of the associated time series but demonstrate a generalized synchronization of complexity. This high-order synchrony among the scaling indices of EEG (brain), ECG (heart), and respiratory time series is governed by the quantitative interdependence of the multifractal behavior of the various physiological ONs’ dynamics. This consequence of the NE opens the door for an entirely general characterization of the dynamics of complex networks in terms of complexity synchronization (CS) independently of the scientific, engineering, or technological context. CS is truly a transdisciplinary effect.

show abstract

Complex Periodicity and Synchronization

Cited by 5 publications

References 44 publications

Restoring Walking Complexity in Older Adults Through Arm-in-Arm Walking: Were Almurad et al.’s (2018) Results an Artifact?

Restoring Walking Complexity in Older Adults Through Arm-in-Arm Walking: Were Almurad et al.’s (2018) Results an Artifact?

Scale-free dynamics in the core-periphery topography and task alignment decline from conscious to unconscious states

Complexity synchronization: a measure of interaction between the brain, heart and lungs

Contact Info

Product

Resources

About