Publications by Ekansh Sareen | EPFL Graph Search

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, Ekansh Sareen, Ilaria Ricchi

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

Joint Subject-Identification and Task-Decoding From Inferred Functional Brain Graphs Via a Multi-Task Neural Network

Dimitri Nestor Alice Van De Ville, Hamid Behjat, Ekansh Sareen

Functional connectivity (FC) between brain regions as manifested via fMRI entails signatures that can be used to differentiate individuals and decode cognitive tasks. In this work, we use methods from graph structure inference to estimate FC, which is in c ...

IEEE Computer Society2024

Task 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 SCIENCE2023

Exploring MEG brain fingerprints: Evaluation, pitfalls, and interpretations

Dimitri Nestor Alice Van De Ville, Alessandra Griffa, Enrico Amico, Ekansh Sareen, Sélima Zahar

Individual characterization of subjects based on their functional connectome (FC), termed “FC fingerprinting”, has become a highly sought-after goal in contemporary neuroscience research. Recent functional magnetic resonance imaging (fMRI) studies have dem ...

2021