Olivia Gosseries

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

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.

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.

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

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.

This study applies neural field theory to EEG data to identify correlations between model parameters and consciousness states, highlighting potential biomarkers and physiological bases.

The paper uses whole-brain models to simulate the effects of serotonergic psychedelics on disorders of consciousness, showing they can shift brain dynamics toward conscious states.

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.

This study analyzes citation patterns to preprints in neuroscience publications from 1993-2022, showing a significant increase in preprint citations, especially in reviews, and identifying key preprint servers and journals.

The paper investigates how criticality in resting-state EEG correlates with perturbational complexity and consciousness during anesthesia, finding that unconscious states show reduced criticality.

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.

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.

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.

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

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.

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.

This study examines how dexmedetomidine sedation depth affects cortical excitability, finding non-linear changes and region-specific effects.

This paper uses computational modeling to show that changes in posterior hot zone and frontoparietal connectivity during propofol anaesthesia correlate with loss of consciousness.

This study shows that focal brain injuries lead to local sleep-like dynamics in the surrounding cortex, disrupting signal complexity while coexisting with wakefulness patterns.

The paper introduces PCIST, a fast method to estimate perturbational complexity of brain signals, validated on TMS/hd-EEG and SEEG data, showing comparable accuracy to the original PCI with improved speed and applicability.

This study links pathological bistability in UWS patients to reduced brain complexity using TMS/EEG and PCI measurements.

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.

This study shows propofol reduces evoked power and impairs feedforward connectivity in the cortical hierarchy during TMS.

The paper investigates neural correlates of phosphene perception following TMS of human occipital and parietal cortex, finding distinct alpha and beta band oscillations predict perception in these regions.

This study maps TMS-induced EEG changes onto information flow and structural connectivity using multimodal data to show how stimulation site and brain rhythms influence functional-structural relationships.

This study uses fMRI to show that neural response differentiation, measured by Lempel-Ziv complexity, correlates with stimulus set meaningfulness, with movies showing the highest differentiation.