Publication
Spatiotemporal EEG analysis and distributed source estimation in presurgical epilepsy evaluation
Related publications (39)
SzCORE: A Seizure Community Open-source Research Evaluation framework for the validation of EEG-based automated seizure detection algorithms
David Atienza Alonso, Alireza Amirshahi, Jonathan Dan, Adriano Bernini, William Cappelletti, Luca Benini, Una Pale
The need for high-quality automated seizure detection algorithms based on electroencephalography (EEG) becomes ever more pressing with the increasing use of ambulatory and long-term EEG monitoring. Heterogeneity in validation methods of these algorithms in ...
2024Spectral representation of EEG data using learned graphs with application to motor imagery decoding
Dimitri Nestor Alice Van De Ville, Hamid Behjat, Maliheh Miri
Electroencephalography (EEG) data entail a complex spatiotemporal structure that reflects ongoing organi-zation of brain activity. Characterization of the spatial patterns is an indispensable step in numerous EEG processing pipelines. We present a novel me ...
Oxford2023An attention-based deep learning approach for the classification of subjective cognitive decline and mild cognitive impairment using resting-state EEG
Silvestro Micera, Michael Lassi
Objective. This study aims to design and implement the first deep learning (DL) model to classify subjects in the prodromic states of Alzheimer's disease (AD) based on resting-state electroencephalographic (EEG) signals. Approach. EEG recordings of 17 heal ...
IOP Publishing Ltd2023Personalized seizure signature: An interpretable approach to false alarm reduction for long‐term epileptic seizure detection
David Atienza Alonso, Amir Aminifar, Tomas Teijeiro Campo, Dionisije Sopic
Objective Long-term automatic detection of focal seizures remains one of the major challenges in epilepsy due to the unacceptably high number of false alarms from state-of-the-art methods. Our aim was to investigate to what extent a new patient-specific ap ...
2022Automatic detection of generalized paroxysmal fast activity in interictal EEG using time-frequency analysis
Objective: Markup of generalized interictal epileptiform discharges (IEDs) on EEG is an important step in the diagnosis and characterization of epilepsy. However, manual EEG markup is a time-consuming, subjective, and the specialized task where the human r ...
PERGAMON-ELSEVIER SCIENCE LTD2021Dynamic analysis of fMRI activation during epileptic spikes can help identify the seizure origin
Objective We use the dynamic electroencephalography-functional magnetic resonance imaging (EEG-fMRI) method to incorporate variability in the amplitude and field of the interictal epileptic discharges (IEDs) into the fMRI analysis. We ask whether IED varia ...
2020A Multifaceted Approach to Covert Attention Brain-Computer Interfaces
Over the last years, brain-computer interfaces (BCIs) have shown their value for assistive
technology and neurorehabilitation. Recently, a BCI-approach for the rehabilitation of hemispatial
neglect has been proposed on the basis of covert visuospatial atte ...
EPFL2018Dynamic Information Flow Based on EEG and Diffusion MRI in Stroke: A Proof-of-Principle Study
In hemiparetic stroke, functional recovery of paretic limb may occur with the reorganization of neural networks in the brain. Neuroimaging techniques, such as magnetic resonance imaging (MRI), have a high spatial resolution which can be used to reveal anat ...
2018Simultaneous EEG-fMRI at ultra-high field for the study of human brain function
Scalp electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) have highly complementary domains, and their combination has been actively sought within neuroscience research. The important gains in fMRI sensitivity achieved with higher ...
EPFL2016Presurgical brain mapping in epilepsy using simultaneous EEG and functional MRI at ultra-high field: feasibility and first results
Wietske Van der Zwaag, João Pedro Forjaco Jorge, François Lazeyras, Giannina Rita Iannotti
OBJECTIVES: The aim of this study was to demonstrate that eloquent cortex and epileptic-related hemodynamic changes can be safely and reliably detected using simultaneous electroencephalography (EEG)-functional magnetic resonance imaging (fMRI) recordings ...
Springer Verlag2016