Predicting individual scores from resting state fMRI using partial least squares regression. - Djalel Eddine Meskaldji; Maria Giulia Preti; Thomas Bolton 001; Marie-Louise Montandon; Cristelle Rodriguez; Stephan Morgenthaler; Panteleimon Giannakopoulos; Sven Haller; Dimitri Van De Ville (ISBI, 2016)

Sparse coupled hidden Markov models shed light on resting-state fMRI cross-network interactions. - Thomas Bolton 001; Dimitri Van De Ville (ISBI, 2017)

Dynamic reorganization of intrinsic functional networks in the mouse brain. - Joanes Grandjean; Maria Giulia Preti; Thomas William Arthur Bolton; Michaela Buerge; Erich Seifritz; Christopher R. Pryce; Dimitri Van De Ville; Markus Rudin (NeuroImage, 2017)

The dynamic functional connectome: State-of-the-art and perspectives. - Maria Giulia Preti; Thomas William Arthur Bolton; Dimitri Van De Ville (NeuroImage, 2017)

Graph Signal Processing of Human Brain Imaging Data. - Weiyu Huang; Thomas William Arthur Bolton; John D. Medaglia; Danielle S. Bassett; Alejandro Ribeiro; Dimitri Van De Ville (ICASSP, 2018)

Graph slepians to strike a balance between local and global network interactions: Application to functional brain imaging. - Thomas William Arthur Bolton; Younes Farouj; Silvia Obertino; Dimitri Van De Ville (ISBI, 2018)

Guided Graph Spectral Embedding: Application to the C. elegans Connectome. - Miljan Petrovic; Thomas William Arthur Bolton; Maria Giulia Preti; Raphaël Liégeois; Dimitri Van De Ville (CoRR, 2018)

A Graph Signal Processing Perspective on Functional Brain Imaging. - Weiyu Huang; Thomas William Arthur Bolton; John D. Medaglia; Danielle S. Bassett; Alejandro Ribeiro; Dimitri Van De Ville (Proc. IEEE, 2018)

Interactions Between Large-Scale Functional Brain Networks are Captured by Sparse Coupled HMMs. - Thomas William Arthur Bolton; Anjali Tarun; Virginie Sterpenich; Sophie Schwartz; Dimitri Van De Ville (IEEE Trans. Medical Imaging, 2018)

Time-frequency characterization of resting-state brain function reveals overlapping components with specific topology and frequency content. - Thomas Bolton 001; Dimitri Van De Ville (ICIGP, 2019)

Structurally-Informed Deconvolution of Functional Magnetic Resonance Imaging Data. - Thomas William Arthur Bolton; Younes Farouj; Mert Inan; Dimitri Van De Ville (ISBI, 2019)

Robust Recovery of Temporal Overlap Between Network Activity Using Transient-Informed Spatio-Temporal Regression. - Daniela Zöller; Thomas William Arthur Bolton; Fikret Isik Karahanoglu; Stephan Eliez; Marie Schaer; Dimitri Van De Ville (IEEE Trans. Medical Imaging, 2019)

Dynamics of Brain Activity Captured by Graph Signal Processing of Neuroimaging Data to Predict Human Behaviour. - Thomas William Arthur Bolton; Dimitri Van De Ville (ISBI, 2020)

Neural responses in autism during movie watching: Inter-individual response variability co-varies with symptomatology. - Thomas William Arthur Bolton; Lorena G. A. Freitas; Delphine Jochaut; Anne-Lise Giraud; Dimitri Van De Ville (NeuroImage, 2020)

Agito ergo sum: Correlates of spatio-temporal motion characteristics during fMRI. - Thomas William Arthur Bolton; Valeria Kebets; Enrico Glerean; Daniela Zöller; Jingwei Li 003; B. T. Thomas Yeo; César Caballero-Gaudes; Dimitri Van De Ville (NeuroImage, 2020)

TbCAPs: A toolbox for co-activation pattern analysis. - Thomas William Arthur Bolton; Constantin Tuleasca; Diana Wotruba; Gwladys Rey; Herberto Dhanis; Baptiste Gauthier; Farnaz Delavari; Elenor Morgenroth; Julian Gaviria; Eva Blondiaux; Lukasz Smigielski; Dimitri Van De Ville (NeuroImage, 2020)

Time-resolved effective connectivity in task fMRI: Psychophysiological interactions of Co-Activation patterns. - Lorena G. A. Freitas; Thomas William Arthur Bolton; Benjamin E. Krikler; Delphine Jochaut; Anne-Lise Giraud; Petra S. Hüppi; Dimitri Van De Ville (NeuroImage, 2020)

First-person body view modulates the neural substrates of episodic memory and autonoetic consciousness: A functional connectivity study. - Baptiste Gauthier; Lucie Bréchet; Florian Lance; Robin Mange; Bruno Herbelin; Nathan Faivre; Thomas William Arthur Bolton; Dimitri Van De Ville; Olaf Blanke (NeuroImage, 2020)

Structural mediation of human brain activity revealed by white-matter interpolation of fMRI. - Anjali Tarun; Hamid Behjat; Thomas Bolton 001; David Abramian; Dimitri Van De Ville (NeuroImage, 2020)

Community-Aware Graph Signal Processing: Modularity Defines New Ways of Processing Graph Signals. - Miljan Petrovic; Raphaël Liégeois; Thomas William Arthur Bolton; Dimitri Van De Ville (IEEE Signal Process. Mag., 2020)

Dynamic functional brain networks underlying the temporal inertia of negative emotions. - Julian Gaviria; Gwladys Rey; Thomas Bolton 001; Dimitri Van De Ville; Patrik Vuilleumier (NeuroImage, 2021)

Robotically-induced hallucination triggers subtle changes in brain network transitions. - Herberto Dhanis; Eva Blondiaux; Thomas Bolton 001; Nathan Faivre; Giulio Rognini; Dimitri Van De Ville; Olaf Blanke (NeuroImage, 2022)

Graph Signal Processing For Neurogimaging to Reveal Dynamics of Brain Structure-Function Coupling. - Maria Giulia Preti; Thomas William Arthur Bolton; Alessandra Griffa; Dimitri Van De Ville (ICASSP, 2023)

Introducing Edge-Wise Graph Signal Processing: Application to Connectome Fingerprinting. - Thomas William Arthur Bolton; Mikkel Schöttner; Jagruti Patel; Patric Hagmann (ISBI, 2024)

Structural Connectome Harmonization Using Deep Learning: The Strength of Graph Neural Networks. - Jagruti Patel; Thomas William Arthur Bolton; Mikkel Schöttner; Anjali Tarun; Sébastien Tourbier; Yasser Alemán-Gómez; Jonas Richiardi; Patric Hagmann (CoRR, 2025)

Comparing and Scaling fMRI Features for Brain-Behavior Prediction. - Mikkel Schöttner Sieler; Thomas William Arthur Bolton; Jagruti Patel; Patric Hagmann (CoRR, 2025)

Predicting Cognition from fMRI:A Comparative Study of Graph, Transformer, and Kernel Models Across Task and Rest Conditions. - Jagruti Patel; Mikkel Schöttner; Thomas William Arthur Bolton; Patric Hagmann (CoRR, 2025)