Author

D. Van de Ville

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Review Open access 2026

Interbrain synchrony analysis for fNIRS – a signal processing primer

Interbrain synchrony (IBS), also referred to as interpersonal neural synchrony (INS), has become a central construct in social neuroscience and beyond. It describes the temporal alignment of neural activity across individuals and has been studied in a range of paradigms, including sequential interactions, shared-stim...

Katarina Lodrant, D. Van de Ville, F. Scharnowski et al. · Imaging Neuroscience · 0 citations

Open access Oct 2026

Higher-order topology uncovers the multidimensional dynamics of naturalistic emotion

Emotions are thought to emerge from co-activation among distributed brain systems, yet traditional fMRI analyses typically examine localized responses and pairwise connections, potentially overlooking interactions among groups of regions. Here, we use time-resolved higher-order topology to characterize these group inte...

Lorenzo Zaffina, Matteo Diano, F. Petruso et al. · bioRxiv · 0 citations

#artificial intelligence Preprint Sep 2026

TwinS-GCN: Spectral conjugate for Spectral Graph Convolutional Networks

Graph convolutional networks propagate information by repeated local aggregation through a graph shift operator; i.e., a $K$-layer network reaches $K$ hops neighborhood. On the one hand, such spreading can lead to oversmoothing. On the other hand, long-range dependencies demand the depth. Transporting information on lo...

Chun Hei Michael Chan, F. Petruso, D. Van de Ville · 0 citations

Open access Jul 2026

Concurrent TMS and Spinal Cord fMRI Reveal Intensity-Dependent Modulation of Spinal Circuits

This work introduces a multimodal framework that combines single-pulse transcranial magnetic stimulation of the primary motor cortex with SC-fMRI to probe TMS-evoked spinal activity in humans and demonstrates that concurrent TMS–SCfMRI can capture, in vivo, how cortical drive is expressed within human spinal circuitry.

E. Sareen, Rebecca Jones, E. Raffin et al. · bioRxiv · 0 citations

Preprint Aug 2026

Graph Signal Surrogate Generation for Statistical Testing of Covariance Structure on Directed Graphs

The definition of directed graph wide-sense stationarity is revisited, and the surrogate signals preserve covariance under the stationary assumption to demonstrate the feasibility of the scheme to detect irregular node covariance and benchmark the method against conventional schemes using the symmetrized graph.

Chun Hei Michael Chan, Alexandre Cionca, D. Van de Ville · 0 citations