Area of research
Cognitive Neuroscience · Emergency Medicine
Research interest
Research interests include EEG and Brain-Computer Interfaces, Cardiac Arrest and Resuscitation, Functional Brain Connectivity Studies, and Neural dynamics and brain function.
DeepCRI: real-time EEG-based prognostication after cardiac arrest.
Burst suppression: a default brain state associated with loss of network complexity.
Corticothalamic dynamics during postictal recovery of self-orientation after electroconvulsive therapy.
Transcranial Magnetic Stimulation as a Translational Biomarker in Early-Phase Anti-Seizure Medication Development: A Randomized, Double-Blind, Placebo-Controlled Study in Generalized Epilepsy.
Reply to: Calibration, Generalization, and Explainability: AI Challenges Behind Bedside EEG Prognostication
Expert level of detection of interictal discharges with a deep neural network.
The role of NMDA receptors in memory and prediction in cultured neural networks.
Automated inference of disease mechanisms in patient-hiPSC-derived neuronal networks.
Does sex matter in neurons' response to hypoxic stress?
Impact of seizure detectors on treatment and costs of epilepsy.
Impact of Seizure Detectors on Treatment and Costs of Epilepsy
The role of the glutamate-glutamine cycle in synaptic transmission during ischemia and recovery
Reply to: Optimizing external validation of deep neural networks for interictal discharge detection.
Author Response: Quantitative Characterization of Rhythmic and Periodic EEG Patterns in Patients in a Coma After Cardiac Arrest and Association With Outcome.
DeepCRI: Real-time EEG-based Prognostication after Cardiac Arrest
Unraveling high-order interactions in electrophysiological brain signals using elliptical distributions: moving beyond the Gaussian approximation
Quantitative Characterization of Rhythmic and Periodic EEG Patterns in Patients in a Coma After Cardiac Arrest and Association With Outcome.
Changes in postictal cerebral perfusion are related to the duration of electroconvulsive therapy-induced seizures.
Neurophysiological signatures of mild traumatic brain injury in the acute and subacute phase.
Breaking the Burst: Unveiling Mechanisms Behind Fragmented Network Bursts in Patient-derived Neurons
Construction of invariant features for time-domain EEG/MEG signals using Grassmann manifolds
Does sex matter in neurons’ response to hypoxic stress?
The role of NMDA receptors in memory and prediction in cultured neural networks
The International Cardiac Arrest Research Consortium Electroencephalography Database
Prediction in cultured cortical neural networks.
Spatiotemporal spike-centered averaging reveals symmetry of temporal and spatial components of the spike-LFP relationship during human focal seizures.
Preservation of thalamocortical circuitry is essential for good recovery after cardiac arrest.
Neurophysiological signatures reflect differences in visual attention during absence seizures.
Not one size fits all: influence of EEG type when training a deep neural network for interictal epileptiform discharge detection
Can we learn from hidden mistakes? Self-fulfilling prophecy and responsible neuroprognostic innovation.