Publications by Dimitri Nestor Alice Van De Ville

Towards personalized mapping through lumbosacral spinal cord task fMRI

Dimitri Nestor Alice Van De Ville, Nawal Noëlle Kinany, Ilaria Ricchi

The lumbosacral spinal cord contains neural circuits crucial for locomotion, organized into rostrocaudal levels with distinct somatosensory and motor neuron pools that project to and from the muscles of the lower limbs. However, the specific spinal levels ...

2025

Video-evoked neuromarkers of visual function in age-related macular degeneration

Dimitri Nestor Alice Van De Ville

Neural markers of visual function in age-related macular degeneration (AMD) allow clinicians and researchers to directly evaluate the functional changes in visual processing which occur as a result of the progressive loss of afferent input from the macula. ...

Frontiers Media SA2025

Advances on Real Time M/EEG Neural Feature Extraction

Nicolas Henchoz, Dimitri Nestor Alice Van De Ville, Delphine Ribes Lemay, Andreas Sonderegger, Emily Clare Groves, Patrick Karl Alois Neff

This paper introduces MNE-RT, a Python package designed for real-time neural feature extraction from magne-toencephalography (MEG) and electroencephalography (EEG) signals in Brain-Computer Interface (BCI) systems. The package incorporates efficient algori ...

IEEE2025

On Reconstruction of Cortical Functional Maps Using Subject-Specific Geometric and Connectome Eigenmodes

Dimitri Nestor Alice Van De Ville, Hamid Behjat

Understanding the interplay between human brain structure and function is crucial to discern neural dynamics. This study explores the relation between brain structure and macroscale functional activity using subject-specific structural connectome eigenmode ...

IEEE2025

Idiopathic normal pressure hydrocephalus: A sulcal morphometry approach to brain phenotype and clinical response

Dimitri Nestor Alice Van De Ville, Alessandra Griffa

Idiopathic normal pressure hydrocephalus (iNPH), the leading cause of reversible dementia in older adults, is characterized by urinary incontinence, gait impairment, cognitive decline, and ventriculomegaly. Neuroradiological features rely on visual assessm ...

Elsevier BV2025

Multiscale Quantification of Hemispheric Asymmetry in Cortical Maps Using Geometric Eigenmodes

Dimitri Nestor Alice Van De Ville

Hemispheric asymmetry is a universal property of brain organization with wide implications into brain function and structure, and diseases. This study presents a laterality index for characterizing hemispheric asymmetries that underlie cortical maps using ...

IEEE2025

TR(Acking) Individuals Down: Exploring the Effect of Temporal Resolution in Resting-State Functional MRI Fingerprinting

Dimitri Nestor Alice Van De Ville, Enrico Amico, Francesca Saviola

Functional brain fingerprinting has emerged as an influential tool to quantify reliability in neuroimaging studies and to identify cognitive biomarkers in both healthy and clinical populations. Recent studies have revealed that brain fingerprints reside in ...

Wiley2025

A Longitudinal and Reproducible Anti-coactivation Pattern Between the Cerebellum and the Ventral Tegmental Area Relates to Apathy in Schizophrenia

Dimitri Nestor Alice Van De Ville, Farnaz Delavari

Negative symptoms of schizophrenia lack effective treatments. Anomalies in the reward system and cerebellum have been linked to these symptoms. The cerebellum modulates reward circuitry via the ventral tegmental area (VTA). The "cognitive dysmetria theory" ...

Elsevier BV2025

Neurobiology and Cognition in Girls at High-risk of Eating Disorders: Exploring Imaging-derived Trait Markers

Dimitri Nestor Alice Van De Ville

Background: Eating disorders (EDs) are serious psychiatric disorders characterized by impairments in neurocognition and altered brain structure. To date the majority of studies have investigated these in acutely ill or recovered individuals. Studying child ...

WILEY2025

Community detection for directed networks revisited using bimodularity

Dimitri Nestor Alice Van De Ville, Alexandre Cionca

Community structure is a key feature omnipresent in real-world network data. Plethora of methods have been proposed to reveal subsets of densely interconnected nodes using criteria such as the modularity index. These approaches have been successful for und ...

Proceedings of the National Academy of Sciences2025

Brain Functional Connectivity Alterations in Hypertensive Individuals During Rest and Cold Pressor Test

Dimitri Nestor Alice Van De Ville

2025

Hilbert Transform on Graphs: Let There Be Phase

Dimitri Nestor Alice Van De Ville, Alexandre Cionca

In the past years, many signal processing operations have been successfully adapted to the graph setting. One elegant and effective approach is to exploit the eigendecomposition of a graph shift operator (GSO), such as the adjacency or Laplacian operator, ...

IEEE Institute of Electrical and Electronics Engineers2025

Structural mediation of the default-mode network in children with callosal agenesis

Dimitri Nestor Alice Van De Ville

Agenesis of the corpus callosum is a neurodevelopmental condition characterized by the partial or complete absence of the corpus callosum, the largest white matter bundle connecting the cerebral hemispheres. The default-mode network comprises bilateral fro ...

2025

Body size and intracranial volume interact with the structure of the central nervous system: A multi-center in vivo neuroimaging study

Dimitri Nestor Alice Van De Ville, Nawal Noëlle Kinany

Clinical research emphasizes the implementation of rigorous and reproducible study designs that rely on between-group matching or controlling for sources of biological variation such as subject’s sex and age. However, corrections for body size (i.e., heigh ...

MIT Press2025

Improved Spinal Cord FMRI Activation Mapping Using Regularized Hemodynamic Deconvolution

Dimitri Nestor Alice Van De Ville, Friedhelm Christoph Hummel, Estelle Emeline Raffin, Ekansh Sareen

The spinal cord plays a central role in regulating sensorimotor functions through complex neural pathways. However, detailed investigation of these mechanisms remains a developing field. In this study, we propose a multimodal approach combining transcrania ...

IEEE2025

Revealing Brain and Spinal Cord Functional Networks by Block-Structured Graph Laplacian Mixture Models

Pascal Frossard, Dimitri Nestor Alice Van De Ville, William Cappelletti, Ilaria Ricchi, Ekansh Sareen

The Graph Laplacian Mixture Model (GLMM) allows to infer multiple underlying graph structures from multivariate time series data. Given its effectiveness in identifying brain states from brain activity measured by functional magnetic resonance imaging (fMR ...

IEEE2025

Functional organization of the neonatal thalamus across development depicted by functional MRI

Dimitri Nestor Alice Van De Ville

The thalamus is a central component of the brain that is involved in a variety of functions, from sensory processing to high-order cognition. Its structure and function in the first weeks of extrauterine life, including its connections to different cortica ...

MIT Press2025

Power-Efficient Sampling: Towards low-power analog-to-digital converters

Dimitri Nestor Alice Van De Ville

Analog-to-digital converters (ADCs) facilitate the conversion of analog signals into a digital format. While the specific designs and settings of ADCs can vary depending on the application, it is crucial in many modern applications to minimize the devices’ ...

2025

Limbic-Sensorimotor Tug of War for the Hippocampus: Dynamic Functional Connectivity as a Transdiagnostic Vulnerability Marker in Offspring of Emotion Dysregulation Patients

Dimitri Nestor Alice Van De Ville, Farnaz Delavari

This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional c ...

Elsevier BV2025

Emo-film: a Multimodal Dataset for Affective Neuroscience Using Naturalistic Stimuli

Dimitri Nestor Alice Van De Ville, Laura Vilaclara, Stefano Moia, Elenor Morgenroth

The Emo-FilM dataset stands for Emotion research using Films and fMRI in healthy participants. This dataset includes emotion annotations by 44 raters for 14 short films with a combined duration of over 2 1/2 hours and recordings of respiration, heart rate, ...

NATURE PORTFOLIO2025