Anira Escrichs

Brain dynamics predict oral contraceptive treatment duration

This study shows that brain dynamics change with the duration of oral contraceptive use, with prolonged use linked to restricted local synchronization and enhanced cross-scale information flow.

Distinct brain responses to psilocybin and escitalopram in depression captured by the Fluctuation-Dissipation Theorem

This study compares brain responses to psilocybin and escitalopram in depression using the Fluctuation-Dissipation Theorem, finding distinct non-equilibrium dynamics and responder differentiation.

Impact of meningioma and glioma on whole-brain dynamics

This study examines how meningiomas and gliomas affect brain dynamics using resting-state fMRI, finding distinct disruptions in dynamical complexity metrics between the two tumor types.

Modeling Hierarchical Brain Dynamics Outperforms Hormonal Biomarkers in Predicting Menstrual Cycle Phases

This study uses a thermodynamics-inspired framework to model brain dynamics across menstrual cycle phases, finding that model-based biomarkers outperform hormonal and traditional connectivity measures in phase prediction.

The Turbulent Brain: a toolbox to compute the turbulent dynamical behaviour of whole-brain activity

The Turbulent Brain toolbox applies turbulence physics to analyze brain activity dynamics, showing reduced information transmission during movie watching compared to resting state.

Reconfiguration of Functional Brain Hierarchy in Schizophrenia

This study investigates the reconfiguration of brain hierarchy in schizophrenia using resting-state fMRI and finds increased hierarchical organization linked to clinical symptoms and diagnostic separation.

Disrupted hierarchical organization in disorders of consciousness revealed by fluctuation-dissipation deviations

This paper identifies disrupted hierarchical organization in disorders of consciousness using fluctuation-dissipation theorem deviations from fMRI data.

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.

Inception: Simulating Personalized Long-Term Recovery in Disorders of Consciousness using Whole-Brain Computational Perturbations

Inception simulates long-term recovery in Disorders of Consciousness using whole-brain models and fMRI data, showing improved patient classification and potential for capturing pharmacological effects.

Nonequilibrium dynamics elicited as the origin of perturbative complexity

The paper investigates how non-equilibrium dynamics in the brain relate to complexity in response to stimuli, finding reduced asymmetry and irreversibility in states of reduced consciousness.

Long-term effects of psilocybin on dynamic and effectivity connectivity of fronto-striatal-thalamic circuits

This paper investigates the long-term effects of psilocybin on fronto-striatal-thalamic circuit dynamics and connectivity using longitudinal fMRI data and computational modeling.

Whole-brain dynamics and hormonal shifts throughout women's lifespan: From reproductive stages to menopausal transition and beyond

This study examines brain dynamics across women's reproductive stages using fMRI and machine learning, finding that brain dynamics decline at menopause and that combining brain dynamics with hormone levels improves stage classification.

Whole-brain modelling supports the use of serotonergic psychedelics for the treatment of disorders of consciousness

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.

Off-Equilibrium Fluctuation-Dissipation Theorem Paves the Way in Alzheimer's Disease Research

This study uses off-equilibrium fluctuation-dissipation theorem to analyze brain dynamics in Alzheimer's disease, finding increased deviations in MCI and decreased deviations in AD, suggesting potential biomarkers for early detection.

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.

Whole-brain dynamics and hormonal fluctuations across the menstrual cycle: The role of progesterone and age in healthy women

This study examines how brain network dynamics change across menstrual cycle phases and how age and progesterone levels influence these changes in healthy women.

Altered intrinsic ignition dynamics linked to Amyloid-β and tau pathology in Alzheimer's disease

This study uses intrinsic ignition analysis on rs-fMRI data to show reduced dynamical complexity and node-metastability in Alzheimer's disease, linked to Amyloid-β and tau pathology.

Inducing a meditative state by artificial perturbations: A causal mechanistic understanding of brain dynamics underlying meditation

This paper uses causal mechanistic modeling to show that meditation can be induced by artificial perturbations in specific brain networks, revealing distinct whole-brain dynamics during meditation compared to rest.

The meditative brain: State and trait changes in harmonic complexity for long-term mindfulness meditators

This study examines how mindfulness meditation affects brain dynamics by analyzing changes in harmonic complexity, revealing both immediate and long-term effects on brain state and trait characteristics.

The evolution of whole-brain turbulent dynamics during recovery from traumatic brain injury

This paper uses a turbulent dynamics framework to analyze whole-brain fMRI data from TBI patients and healthy controls, showing reduced synchronization and reactivity during recovery.

On the edge of criticality: strength-dependent perturbation unveils delicate balance between fluctuation and oscillation in brain dynamics

This paper uses strength-dependent perturbations to show the human brain operates at a balance between fluctuation and oscillation, enhancing flexibility.

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.

Meditation-induced effects on whole-brain structural and effective connectivity

This study examines meditation's effects on brain structure and function using MRI, finding that effective connectivity features better distinguish meditators from controls than structural or functional connectivity alone.

The effect of external stimulation on functional networks in the aging healthy human brain

The paper uses in silico stimulation on a resting-state fMRI dataset to identify brain regions that can shift aging brain states to middle-aged states.

The gendered self: Evidence for differences in whole-brain dynamics

This study uses whole-brain network dynamics to differentiate four gender groups, finding distinct patterns in neural activity propagation and metastability.

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.

Whole-brain dynamics in aging: disruptions in functional connectivity and the role of the rich club

This study examines age-related changes in whole-brain functional dynamics using resting-state fMRI, finding increased intrinsic ignition and reduced metastability in older adults.

Characterizing the Dynamical Complexity underlying Meditation

This study compares the dynamical complexity of brain activity during meditation and resting-state in meditators and controls, finding reduced complexity in meditators during meditation.