Brain states and transitions: insights from computational neuroscience

ML Kringelbach, G Deco - Cell Reports, 2020 - cell.com
Within the field of computational neuroscience there are great expectations of finding new
ways to rebalance the complex dynamic system of the human brain through controlled …

[HTML][HTML] Dynamic sensitivity analysis: Defining personalised strategies to drive brain state transitions via whole brain modelling

J Vohryzek, J Cabral, F Castaldo, Y Sanz-Perl… - Computational and …, 2023 - Elsevier
Traditionally, in neuroimaging, model-free analyses are used to find significant differences
between brain states via signal detection theory. Depending on the a priori assumptions …

Characterization of regional differences in resting-state fMRI with a data-driven network model of brain dynamics

V Sip, M Hashemi, T Dickscheid, K Amunts… - Science …, 2023 - science.org
Model-based data analysis of whole-brain dynamics links the observed data to model
parameters in a network of neural masses. Recently, studies focused on the role of regional …

Amortized Bayesian inference on generative dynamical network models of epilepsy using deep neural density estimators

M Hashemi, AN Vattikonda, J Jha, V Sip… - Neural Networks, 2023 - Elsevier
Whole-brain modeling of epilepsy combines personalized anatomical data with dynamical
models of abnormal activities to generate spatio-temporal seizure patterns as observed in …

Whole‐brain analyses indicate the impairment of posterior integration and thalamo‐frontotemporal broadcasting in disorders of consciousness

R Panda, A López‐González, M Gilson… - Human Brain …, 2023 - Wiley Online Library
The study of the brain's dynamical activity is opening a window to help the clinical
assessment of patients with disorders of consciousness. For example, glucose uptake and …

Computational modelling in disorders of consciousness: Closing the gap towards personalised models for restoring consciousness

AI Luppi, J Cabral, R Cofre, PAM Mediano, FE Rosas… - NeuroImage, 2023 - Elsevier
Disorders of consciousness are complex conditions characterised by persistent loss of
responsiveness due to brain injury. They present diagnostic challenges and limited options …

A survey on brain effective connectivity network learning

J Ji, A Zou, J Liu, C Yang, X Zhang… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Human brain effective connectivity characterizes the causal effects of neural activities
among different brain regions. Studies of brain effective connectivity networks (ECNs) for …

Violations of the fluctuation-dissipation theorem reveal distinct nonequilibrium dynamics of brain states

G Deco, CW Lynn, Y Sanz Perl, ML Kringelbach - Physical Review E, 2023 - APS
The brain is a nonequilibrium system whose dynamics change in different brain states, such
as wakefulness and deep sleep. Thermodynamics provides the tools for revealing these …

Entropy production of multivariate Ornstein-Uhlenbeck processes correlates with consciousness levels in the human brain

M Gilson, E Tagliazucchi, R Cofré - Physical Review E, 2023 - APS
Consciousness is supported by complex patterns of brain activity which are indicative of
irreversible nonequilibrium dynamics. While the framework of stochastic thermodynamics …

Directional prefrontal-thalamic information flow is selectively required during spatial working memory retrieval

J Wang, S Zhang, T Liu, X Zheng, X Tian… - Frontiers in …, 2022 - frontiersin.org
Introduction Spatial working memory is a kind of short-term memory that allows temporarily
storing and manipulating spatial information. Evidence suggests that spatial working …