Publication
The relationship between EEG and fMRI connectomes is reproducible across simultaneous EEG-fMRI studies from 1.5T to 7T
Related publications (126)
Transient brain activity dynamics discriminate levels of consciousness during anesthesia
Dimitri Nestor Alice Van De Ville, Elvira Pirondini, Ayberk Ozkirli
The awake mammalian brain is functionally organized in terms of large-scale distributed networks that are constantly interacting. Loss of consciousness might disrupt this temporal organization leaving patients unresponsive. We hypothesize that characterizi ...
Nature Portfolio2024Brain's Dynamic Functional Organization with Simultaneous EEG-fMRI Networks
João Pedro Forjaco Jorge, Patricia Figueiredo
The brain's functional networks can be assessed using imaging techniques like functional magnetic resonance imaging (fMRI) and electroencephalography (EEG). Recent studies have suggested a link between the dynamic functional connectivity (dFC) captured by ...
SPRINGER INTERNATIONAL PUBLISHING AG2023Brain Fingerprinting Using Fmri Spectral Signatures On High-Resolution Cortical Graphs
Dimitri Nestor Alice Van De Ville, Maria Giulia Preti, Hamid Behjat, Stefano Moia, Carlo Ferritto
Resting-state fMRI has proven to entail subject-specific signatures that can serve as a fingerprint to identify individuals. Conventional methods are based on building a connectivity matrix based on correlation between the average time course of pairs of b ...
IEEE2023Brain connectome correlates of short-term motor learning in healthy older subjects
Friedhelm Christoph Hummel, Takuya Morishita, Manon Chloé Durand-Ruel, Chang-Hyun Park, Maeva Moyne
The motor learning process entails plastic changes in the brain, especially in brain network reconfigurations. In the current study, we sought to characterize motor learning by determining changes in the coupling behaviour between the brain functional and ...
Paris2023A parcellation scheme of mouse isocortex based on reversals in connectivity gradients
The brain is composed of several anatomically clearly separated structures. This parcellation is often extended into the isocortex, based on anatomical, physiological or functional differences. Here, we derive a parcellation scheme based purely on the spat ...
2023Structure-function coupling increases during interictal spikes in temporal lobe epilepsy: A graph signal processing study
Dimitri Nestor Alice Van De Ville, Maria Giulia Preti, Patric Hagmann
Objective: Structure-function coupling remains largely unknown in brain disorders. We studied this coupling during interictal epileptic discharges (IEDs), using graph signal processing in temporal lobe epilepsy (TLE). Methods: We decomposed IEDs of 17 pati ...
ELSEVIER IRELAND LTD2023An 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 Ltd2023Task matters: Individual MEG signatures from naturalistic and neurophysiological brain states
Alessandra Griffa, Enrico Amico, Ekansh Sareen
The discovery that human brain connectivity data can be used as a "fingerprint " to identify a given individual from a population, has become a burgeoning research area in the neuroscience field. Recent studies have iden-tified the possibility to extract t ...
ACADEMIC PRESS INC ELSEVIER SCIENCE2023Improving Functional Connectome Fingerprinting with Degree-Normalization
Background: Functional connectivity quantifies the statistical dependencies between the activity of brain regions, measured using neuroimaging data such as functional magnetic resonance imaging (fMRI) blood-oxygenation-level dependent time series. The netw ...
MARY ANN LIEBERT, INC2022On 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. ...
MDPI2022