Person
Amir Hossein Omidvarnia
This person is no longer with EPFL
Related publications (6)
On the Spatial Distribution of Temporal Complexity in Resting State and Task Functional MRI
Dimitri Nestor Alice Van De Ville, Maria Giulia Preti, Enrico Amico, Raphaël Pierre Liégeois, Amir Hossein Omidvarnia
Measuring the temporal complexity of functional MRI (fMRI) time series is one approach to assess how brain activity changes over time. In fact, hemodynamic response of the brain is known to exhibit critical behaviour at the edge between order and disorder. ...
MDPI2022An EEG-based methodology for the estimation of functional brain connectivity networks: Application to the analysis of newborn EEG seizure
This study presents a new methodology for obtaining functional brain networks (FBNs) using multichannel scalp EEG recordings. The developed methodology extracts pair-wise phase synchrony between EEG electrodes to obtain FBNs at delta, theta, and alpha-band ...
ELSEVIER SCI LTD2021Automatic 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 LTD2021Effective connectivity in brain networks estimated using EEG signals is altered in children with ADHD
This study presents a methodology developed for estimating effective connectivity in brain networks (BNs) using multichannel scalp EEG recordings. The methodology uses transfer entropy as an information transfer measure to detect pair-wise directed informa ...
PERGAMON-ELSEVIER SCIENCE LTD2021Temporal complexity of fMRI is reproducible and correlates with higher order cognition
Dimitri Nestor Alice Van De Ville, Amir Hossein Omidvarnia
It has been hypothesized that resting state networks (RSNs), extracted from resting state functional magnetic resonance imaging (rsfMRI), likely display unique temporal complexity fingerprints, quantified by their multiscale entropy patterns (McDonough and ...
2021Dynamic 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 ...
2020