Jitka Annen

Individualised electrophysiological neural field models for the assessment of thalamocortical function in disorders of consciousness: a multicentre study

This study uses neural field models to assess thalamocortical function in disorders of consciousness, finding reduced corticothalamic integrity in UWS compared to MCS.

Cognitive cartography of mammalian brains using meta-analysis of AI experts

This paper uses AI to analyze neuroscientific literature and discovers conserved cognitive circuits across species.

A virtual clinical trial of psychedelics to treat patients with disorders of consciousness

This study uses computational models to simulate psychedelic treatments for disorders of consciousness, finding they shift brains closer to criticality, with varying effects based on patient state.

Individual trajectories for recovery of neocortical activity in disorders of consciousness

The paper uses biophysical simulations to study recovery of neocortical activity in disorders of consciousness, finding that excitatory corticothalamic synaptic strength loss correlates with cerebral glucose uptake and potential for recovery.

Personalized models of Disorders of Consciousness revealcomplementary roles of connectivity and local parameters in diagnosis and prognosis

This study develops a personalized fMRI analysis pipeline for disorders of consciousness, identifying connectivity and local parameters as biomarkers for diagnosis and prognosis.

Personalized stimulation therapies for disorders of consciousness: A computational approach to inducing healthy-like brain activity based on neural field theory

This paper introduces a computational method to generate personalized brain stimulation signals for disorders of consciousness, showing in silico that it can induce healthy-like EEG power spectra.

AI Discovery of Mechanisms of Consciousness, Its Disorders, and Their Treatment

The paper introduces an AI framework to simulate and predict mechanisms of consciousness and disorders, validated with neurophysiological data.

Re-awakening the brain: Forcing transitions in disorders of consciousness by external in silico perturbation

This paper uses computational models to simulate brain perturbations in disorders of consciousness, showing that transitions to healthy brain states can be achieved through targeted stimulation.

Lateral frontoparietal effective connectivity differentiates and predicts state of consciousness in traumatic disorders of consciousness

This study uses dynamic causal modelling of EEG to differentiate and predict consciousness states in traumatic disorders of consciousness, showing left frontoparietal connectivity differences between UWS and MCS+ patients.

Low-dimensional organization of global brain states of reduced consciousness

The paper maps brain states of reduced consciousness into a low-dimensional space using whole-brain modeling and deep learning, revealing an orderly trajectory from wakefulness to brain injury.

Single session of rTMS enhances brain metastability and intrinsic ignition

A single session of rTMS improves brain metastability and intrinsic ignition in patients with essential tremor, suggesting potential therapeutic mechanisms.

Disruption in structural-functional network repertoire and time resolved subcortical-frontoparietal connectivity in disorders of consciousness

The paper examines functional connectivity and network dynamics in disorders of consciousness, finding reduced metastability and network repertoire in unresponsive wakefulness syndrome compared to minimally conscious state.

Unifying turbulent dynamics framework distinguishes different brain states

This paper introduces a framework using turbulent dynamics to differentiate brain states by analyzing neuroimaging data with model-free and model-based measures.

Posterior integration and thalamo-frontotemporal broadcasting are impaired in disorders of consciousness

This study identifies impaired neural propagation and responsiveness in disorders of consciousness using resting-state fMRI and links these deficits to glucose metabolism and specific circuit failures.

Loss of consciousness reduces the stability of brain hubs and the heterogeneity of brain dynamics

This study examines how brain dynamics change during low-level states of consciousness, finding reduced stability in brain hubs and decreased heterogeneity in synchronization patterns.

Perturbations in dynamical models of whole-brain activity dissociate between the level and stability of consciousness

The paper develops a framework to distinguish brain states by their stability and reversibility, using whole-brain models to analyze consciousness levels and their response to perturbations.

Decreased integration of EEG source-space networks in disorders of consciousness

This study examines functional brain network changes in disorders of consciousness using EEG, finding reduced network integration and increased segregation in patients compared to healthy controls.