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Maria Giulia Preti

Cette personne a quitté l’EPFL

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Publications associées (44)

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Mapping of Structure-Function Age-Related Connectivity Changes on Cognition Using Multimodal MRI

Dimitri Nestor Alice Van De Ville, Maria Giulia Preti

The relationship between age-related changes in brain structural connectivity (SC) and functional connectivity (FC) with cognition is not well understood. Furthermore, it is not clear whether cognition is represented via a similar spatial pattern of FC and ...

FRONTIERS MEDIA SA2022

Brain structure-function coupling provides signatures for task decoding and individual fingerprinting

Dimitri Nestor Alice Van De Ville, Alessandra Griffa, Maria Giulia Preti, Enrico Amico, Raphaël Pierre Liégeois

Brain signatures of functional activity have shown promising results in both decoding brain states, meaning distinguishing between different tasks, and fingerprinting, that is identifying individuals within a large group. Importantly, these brain signature ...

ACADEMIC PRESS INC ELSEVIER SCIENCE2022

Integrating regional perfusion CT information to improve prediction of infarction after stroke

Dimitri Nestor Alice Van De Ville, Maria Giulia Preti, Elisabeth Anne Dirren

Physiological evidence suggests that neighboring brain regions have similar perfusion characteristics (vascular supply, collateral blood flow). It is largely unknown whether integrating perfusion CT (pCT) information from the area surrounding a given voxel ...

SAGE PUBLICATIONS INC2020

The arrow-of-time in neuroimaging time series identifies causal triggers of brain function

Dimitri Nestor Alice Van De Ville, Maria Giulia Preti, Thomas William Arthur Bolton, Enrico Amico, Raphaël Pierre Liégeois

Moving from association to causal analysis of neuroimaging data is crucial to advance our understanding of brain function. The arrow-of-time (AoT), that is, the known asymmetric nature of the passage of time, is the bedrock of causal structures shaping phy ...

Wiley2023

Automated segmentation and labeling of subcutaneous mouse implants at 14.1T

Gilles Bioley, Dimitri Nestor Alice Van De Ville, Cristina Ramona Cudalbu Moldovan, Maria Giulia Preti, Nicolas Gninenko

Magnetic resonance imaging (MRI) is a valuable tool for studying subcutaneous implants in rodents, providing non-invasive insight into biomaterial conformability and longitudinal characterization. However, considerable variability in existing image analysi ...

FRONTIERS MEDIA SA2023

Classification of degenerative parkinsonism subtypes by support-vector-machine analysis and striatal I-123-FP-CIT indices

Dimitri Nestor Alice Van De Ville, Maria Giulia Preti

ObjectivesTo provide an automated classification method for degenerative parkinsonian syndromes (PS) based on semiquantitative I-123-FP-CIT SPECT striatal indices and support-vector-machine (SVM) analysis.Methods(123)I-FP-CIT SPECT was performed at a singl ...

Springer2019

CSF tap test in idiopathic normal pressure hydrocephalus: still a necessary prognostic test?

Dimitri Nestor Alice Van De Ville, Alessandra Griffa, Maria Giulia Preti

Objective To assess whether gait, neuropsychological, and multimodal MRI parameters predict short-term symptom reversal after cerebrospinal fluid (CSF) tap test in idiopathic normal pressure hydrocephalus (iNPH). Methods Thirty patients (79.3 +/- 5.9 years ...

SPRINGER HEIDELBERG2022

Brain structure-function coupling is unique to individuals across multiple frequency bands: a graph signal processing study

Alessandra Griffa, Maria Giulia Preti

The relation between brain functional activity and the underlying structure is complex and varies depending on the specific brain region. Recently, we used graph signal processing to introduce the structural-decoupling index (SDI), a novel metric quantifyi ...

IEEE2022

Deep Learning Building on Prior Ischemic Core Segmentation Improves Prediction of Infarction After Stroke

Dimitri Nestor Alice Van De Ville, Maria Giulia Preti, Elisabeth Anne Dirren

Introduction: Imaging studies are used to guide patient selection for acute stroke treatment. Perfusion CT (pCT) is widely used to identify the acute ischemic core and penumbra, but the prediction of the final infarct remains challenging. With the advent o ...

LIPPINCOTT WILLIAMS & WILKINS2021

Connectome embedding in multidimensional graph spaces

Mathieu Mach, Dimitri Nestor Alice Van De Ville, Alessandra Griffa, Maria Giulia Preti, Enrico Amico, Raphaël Pierre Liégeois

Nodal properties are of particular importance when investigating patterns in brain networks. Nodal information is usually studied by comparing a few nodal measurements (up to three), resulting in analyses in three-dimensional spaces, at maximum. We offer a ...

Massachusetts Institute of Technology2024

Altered anterior default mode network dynamics in progressive multiple sclerosis

Dimitri Nestor Alice Van De Ville, Maria Giulia Preti, Anjali Bagunu Tarun, Younes Farouj

Background: Modifications in brain function remain relatively unexplored in progressive multiple sclerosis (PMS), despite their potential to provide new insights into the pathophysiology of the disease at this stage. Objectives: To characterize the dynamic ...

SAGE PUBLICATIONS LTD2021

Functional network centrality indicates interactions between APOE4 and age across the clinical spectrum of Alzheimer ' s Disease

Dimitri Nestor Alice Van De Ville, Maria Giulia Preti

Advanced age is the most important risk factor for Alzheimer's disease (AD), and carrier-status of the Apolipoprotein E4 (APOE4) allele is the strongest known genetic risk factor. Many studies have consistently shown a link between APOE4 and synaptic dysfu ...

ELSEVIER SCI LTD2024

Brain Fingerprinting Using Fmri Spectral Signatures On High-Resolution Cortical Graphs

Dimitri Nestor Alice Van De Ville, Maria Giulia Preti, Stefano Moia, Hamid Behjat

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 ...

IEEE2023

Direct imaging of neuronal activity: a multivariate perspective on DIANA data in human subjects

Dimitri Nestor Alice Van De Ville, Maria Giulia Preti

Functional magnetic resonance imaging (fMRI) relies upon the blood-oxygenation-level-dependent (BOLD) signal as a proxy for neuronal activity. Whole-brain coverage and millimetric resolution have propelled this modality as a workhorse for human neuroscienc ...

European Signal Processing Conference, EUSIPCO2024

Modulation of epileptic networks by transient interictal epileptic activity: A dynamic approach to simultaneous EEG-fMRI

Dimitri Nestor Alice Van De Ville, Maria Giulia Preti

Epileptic networks, defined as brain regions involved in epileptic brain activity, have been mapped by functional connectivity in simultaneous electroencephalography and functional magnetic resonance imaging (EEG-fMRI) recordings. This technique allows to ...

2020

Fingerprints of brain disease: connectome identifiability in Alzheimer’s disease

Dimitri Nestor Alice Van De Ville, Olaf Blanke, Maria Giulia Preti, Enrico Amico, Sara Stampacchia

Functional connectivity patterns in the human brain, like the friction ridges of a fingerprint, can uniquely identify individuals. Does this “brain fingerprint” remain distinct even during Alzheimer’s disease (AD)? Using fMRI data from healthy and patholog ...

Springer Science and Business Media LLC2024

Temporal Fluctuations of Brain Structure-Function Coupling as a Potential Marker of Drowsiness During Resting State

Dimitri Nestor Alice Van De Ville, Maria Giulia Preti

Resting-state functional magnetic resonance imaging (fMRI) is a well-established methodology to probe brain organization. Previous work has demonstrated that the probability of drowsiness and even sleep increases significantly in participants during restin ...

IEEE2024

When Slepian Meets Fiedler: Putting a Focus on the Graph Spectrum

Dimitri Nestor Alice Van De Ville, Maria Giulia Preti, Robin Jonathan Demesmaeker

The study of complex systems greatly benefits from graph models and their analysis. In particular, the eigendecomposition of the graph Laplacian lets emerge properties of global organization from local interactions; e.g., the Fiedler vector has the smalles ...

IEEE Institute of Electrical and Electronics Engineers2017

Longitudinal Analysis of Brain Function-Structure Dependencies in 22q11.2 Deletion Syndrome and Psychotic Symptoms

Dimitri Nestor Alice Van De Ville, Maria Giulia Preti

Background: Compared with conventional unimodal analysis, understanding how brain function and structure relate to one another opens a new biologically relevant assessment of neural mechanisms. However, how function-structure dependencies (FSDs) evolve thr ...

2024

Dynamics of amygdala connectivity in bipolar disorders: a longitudinal study across mood states

Dimitri Nestor Alice Van De Ville, Maria Giulia Preti, Thomas William Arthur Bolton, Gwladys Rey

Alterations in activity and connectivity of brain circuits implicated in emotion processing and emotion regulation have been observed during resting-state for different clinical phases of bipolar disorders (BD), but longitudinal investigations across diffe ...

SPRINGERNATURE2021