A scoping review for building a criticality-based conceptual framework of altered states of consciousness

C Gervais, LP Boucher, GM Villar, UC Lee… - Frontiers in Systems …, 2023 - frontiersin.org
The healthy conscious brain is thought to operate near a critical state, reflecting optimal
information processing and high susceptibility to external stimuli. Conversely, deviations …

Role of the Locus Coeruleus Arousal Promoting Neurons in Maintaining Brain Criticality across the Sleep–Wake Cycle

C Huo, F Lombardi, C Blanco-Centurion… - Journal of …, 2024 - jneurosci.org
Sleep control depends on a delicate interplay among brain regions. This generates a
complex temporal architecture with numerous sleep-stage transitions and intermittent …

Partial synchronization patterns in brain networks

E Schöll - Europhysics Letters, 2022 - iopscience.iop.org
Partial synchronization patterns play an important role in the functioning of neuronal
networks, both in pathological and in healthy states. They include chimera states, which …

[PDF][PDF] Clusters of psychosis: compensation as a contributor to the heterogeneity of schizophrenia

L Palaniyappan - Journal of Psychiatry & Neuroscience: JPN, 2023 - jpn.ca
Considerable variations exist in the clinical presentation of psychiatric disorders. For any
given diagnostic construct, there are several thousand combinations of symptoms that can …

Maximal Memory Capacity Near the Edge of Chaos in Balanced Cortical EI Networks

T Kanamaru, TK Hensch, K Aihara - Neural Computation, 2023 - direct.mit.edu
We examine the efficiency of information processing in a balanced excitatory and inhibitory
(EI) network during the developmental critical period, when network plasticity is heightened …

Critical parameters in dynamic network modeling of sepsis

R Berner, J Sawicki, M Thiele, T Löser… - Frontiers in Network …, 2022 - frontiersin.org
In this work, we propose a dynamical systems perspective on the modeling of sepsis and its
organ-damaging consequences. We develop a functional two-layer network model for …

Machine learning approach for early onset dementia neurobiomarker using EEG network topology features

TM Rutkowski, MS Abe, T Komendzinski… - Frontiers in Human …, 2023 - frontiersin.org
Introduction Modern neurotechnology research employing state-of-the-art machine learning
algorithms within the so-called “AI for social good” domain contributes to improving the well …

Modelling the perception of music in brain network dynamics

J Sawicki, L Hartmann, R Bader… - Frontiers in Network …, 2022 - frontiersin.org
We analyze the influence of music in a network of FitzHugh-Nagumo oscillators with
empirical structural connectivity measured in healthy human subjects. We report an increase …

Robustness and Flexibility of Neural Function through Dynamical Criticality

MO Magnasco - Entropy, 2022 - mdpi.com
In theoretical biology, robustness refers to the ability of a biological system to function
properly even under perturbation of basic parameters (eg, temperature or pH), which in …

A statistical analysis method for probability distributions in Erdös–Rényi random networks with preferential cutting–rewiring operation

Y Qian, J Cao, J Han, S Zhang, W Chen… - Frontiers in Network …, 2024 - frontiersin.org
The study of specific physiological processes from the perspective of network physiology
has gained recent attention. Modeling the global information integration among the …