Julien Modolo

Computational Insights into the tACS Modulation in Healthy and Epileptic Brain Networks

This study uses a neuroinspired model to investigate how tACS and tDCS affect neural activity in healthy and epileptic brain states, showing frequency entrainment in healthy networks and reduced hyperexcitability in epileptic networks.

Broadband gamma-band EEG changes during magnetophosphene perception induced by 20 Hz magnetic field stimulation

The paper investigates EEG changes during magnetophosphene perception induced by 20 Hz magnetic field stimulation and finds broadband high-frequency EEG activity associated with suprathreshold stimulation.

Accurate evaluation of neural sensitivity to weak alternating electric fields requires protocols accounting for input dependence

The paper shows that neuronal sensitivity to weak alternating electric fields depends on input type and statistics, challenging the reliability of simple current clamp protocols.

1.4 GHz amplitude-modulated radiofrequency electromagnetic waves effects on neural cultures

This study examines the effects of 1.4 GHz amplitude-modulated RF-EMF on neuronal cultures, finding inconsistent phase entrainment and reduced neuronal activity compared to sinusoidal stimulation.

Functional connectivity is dominated by aperiodic, rather than oscillatory, coupling

The paper quantifies the contribution of aperiodic activity to oscillatory functional networks in EEG data and finds that aperiodic activity dominates most networks.

Changes in electrophysiological aperiodic activity during cognitive control in Parkinson's disease

This study examines aperiodic EEG activity in Parkinson's disease during cognitive tasks, finding increased offsets and task-related differences but no behavioral or clinical correlations.

Frequency-dependent phase entrainment of cortical cell types during tACS: Converging modeling evidence

The paper models how different cortical cell types respond to tACS at various frequencies, finding frequency-dependent polarization and entrainment patterns.

Effect of analytical variability in estimating EEG-based functional connectivity

This study examines how methodological choices in EEG source connectivity analysis affect results consistency and similarity across subjects.

Biophysical modeling of the electric field magnitude and distribution induced by electrical stimulation with intracerebral electrodes

The paper evaluates biophysical models to characterize electric fields from intracranial electrodes in DRE patients, finding that electrode geometry and tissue properties influence field distribution.

A personalizable autonomous neural mass model of epileptic seizures

This paper introduces a laminar neural mass model that realistically reproduces SEEG recordings during epileptic seizures and demonstrates its ability to capture key electrophysiological features.

Effect of channel density, inverse solutions and connectivity measures on EEG resting-state networks: a simulation study

This study evaluates how EEG channel density, inverse solutions, and connectivity measures affect resting-state network reconstruction accuracy using simulations.

Impaired dynamics of prefrontal beta-band networks during cognitive action control in Parkinson's disease

This study investigates dynamic functional brain networks during cognitive action control in Parkinson's disease patients and healthy controls using HD-EEG, finding differences in network composition and temporal organization.

Mean-field modeling of brain-scale dynamics for the evaluation of EEG source-space networks

The paper evaluates EEG source-space networks using a large-scale brain activity model called COALIA, showing that high electrode density and specific inverse solution/connectivity measure combinations improve network estimation.

Subthalamic neural oscillations reveal no effect of implicit versus explicit facial emotional processing

The paper examines STN neural oscillations during explicit and implicit emotional processing tasks in PD patients, finding no effect of emotional valence or task demands on oscillatory power or phase consistency.

Probing the circuits of conscious perception with magnetophosphenes

The paper investigates conscious perception by analyzing brain networks during magnetophosphenes, finding distinct roles for alpha and beta band oscillations in integration and segregation.

Brain network dynamics correlate with personality traits

This study uses dynamic functional connectivity measures from EEG and MEG data to show that personality traits like neuroticism, extraversion, and openness correlate with brain network dynamics.

COALIA: a computational model of human EEG for consciousness research

COALIA is a computational model of human EEG that simulates brain dynamics to study consciousness, reproducing EEG patterns and explaining clinical results in DOC patients and healthy volunteers.

Subthalamic nucleus local field potentials recordings reveal subtle effects of promised reward during conflict resolution in Parkinson’s disease

This study examines how promised reward affects subthalamic nucleus activity during conflict resolution in Parkinson’s disease patients using local field potential recordings.

Reconstruction of post-synaptic potentials by reverse modeling of local field potentials

This paper estimates excitatory and inhibitory post-synaptic potentials from local field potentials using a physiologically-grounded neural mass model, validated on simulated and in vivo data.

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.

Psychological resilience correlates with EEG source-space brain network flexibility

The paper examines the relationship between psychological resilience and brain network flexibility using resting-state EEG data from healthy subjects.

Magnetophospenes in humans exposed to ELF MF up to 50 mT, a threshold study

This study determines the magnetic field thresholds triggering magnetophosphenes in humans at specific frequencies, finding frequency-dependent thresholds and the need to report values as dB/dt.