Dimitri Van De Ville

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Professor

Dimitri Van De Ville
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Born1975
Dendermonde
NationalityBelgian
CitizenshipBelgium
Known forDynamical and network aspects of brain activity
Awards2016 Leenaards Prize
2014 NARSAD Independent Investigator Award
2013 NeuroImage Editors’ Choice Award
2012 Pfizer Prize
Academic background
EducationComputer science
Alma materGhent University
Thesis (2002)
Doctoral advisorIgnace Lemahieu
Wilfried Philips
Other academic advisorsMichael Unser
Academic work
DisciplineComputer science
Neuroscience
Sub-disciplineWavelet
Neuroimaging
InstitutionsÉcole Polytechnique Fédérale de Lausanne
Main interestsSignal processing
Neuroimaging
Websitehttps://miplab.epfl.ch/

Dimitri Van De Ville (born 1975 in Dendermonde) is a Switzerland and Belgians computer scientist and neuroscientist specialized in dynamical and network aspects of brain activity. He is a professor of neuroimaging and Computer science at École Polytechnique Fédérale de Lausanne and the head of the Medical Image Processing Laboratory at École Polytechnique Fédérale de Lausanne.[1][2]

Career

Van De Ville studied Computer science at Ghent University and received his Master's degree suma cum lauda in 1998. He then pursued a PhD at the same institution and graduated in 2002 with a thesis on "Linear, nonlinear, and fuzzy image interpolation techniques" (Lineaire, niet-lineaire en vaaglogische beeldinterpolatietechnieken) that was supervised by Ignace Lemahieu and Wilfried Philips.[3][4][5] He joined the EPFL as a post-doctoral researcher in Michael Unser's Biomedical Imaging Group.[6][7] In 2005, he became group leader of the Signal Processing Core at University of Geneva's Center for Biomedical Imaging (CIBM).[8]

In 2009, enabled by a Swiss National Science Foundation Professorship Grant, he founded the Medical Image Processing Laboratory that is jointly held by École Polytechnique Fédérale de Lausanne Institute of Bioengineering and the University of Geneva's Faculty of Medicine, and that is situated at the Campus Biotech in Geneva.[9][10] In 2015, he was appointed tenured associate professor at École Polytechnique Fédérale de Lausanne with a joint adjunct appointment at the University of Geneva.[2] Since 2015 he has been the head of the CIBM's Signal Processing Section, and since 2020 he has been the ad-interim head of CIBM's Animal Imaging & Technology Section.[8]

Research

Van De Ville's research focuses on functional neuroimaging techniques such as functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) to measure dynamical and network aspects of human brain activity. He develops analysis methods for fMRI such as graph signal processing, and applies them to investigate brain functions.

Van De Ville’s research interests through to the end of his post-doctoral studies were dedicated to wavelets and splines, specifically to hex-splines,[11] isotropic polyharmonic B-spline wavelets,[12] and operator wavelets.[13] This research also found application in neuro-imaging by inspiring adaptation such as activelets[14] and wavelet-based statistical parametric mapping.[15]

Since 2009, Van De Ville has dedicated his research to computational neuroimaging with the aim to study brain functions related to behavior in health and disorder by employing fMRI and EEG data. He provides an explanation why fast EEG neural correlates (milliseconds timescale) can be correlated with slow fMRI hemodynamic fluctuations (seconds timescale) by demonstrating that sequences of EEG micro-state topographies represent scale-free organization.[16][17] He also introduced machine learning methods to functional connectivity measures, and thereby initiated the field of connectivity decoding.[18][19][20]

In describing both the method and the application for imaging-based biomarkers, he was among the first to describe the dynamic functional connectome.[21][22][23] He also helped to introduce brain states based on sliding-window functional connectivity.[24] To allow for reliable identification of spatial patterns of transient brain activity, he introduced a novel method for sparsity-pursuing regularized hemodynamic deconvolution of fMRI time series. This method also enabled an important progress to the classical Wiener deconvolution,[25][26] and brought insights in brain activity dynamics during sleep[27] and alterations owing to neurological conditions.[28]

Van De Ville research is also dedicated to the emerging field of graph signal processing to resolve brain structure-function relationships, where the structural connectome is employed as a graph.[29] This framework allows to quantify the amount of activity 'coupling' with the underlying structure, and thereby helps to elucidate hierarchical organization of the brain that is relevant for behavior.[30] Recently his research helped to extend the regular atlas-based graphs including a few hundred nodes to fine-grained voxel-wise graphs representing around a million nodes.[31] His theoretical work on graph signal processing encompasses the proposal of multi-slice graph wavelets,[32] graph Slepians,[33][34] and community-based graph filtering.[35] Moreover, he is also actively developing real-time neuro-feedback application for fMRI test settings that allow for the self regulation of subjects in the scanner by informing them about their brain activity.[36][37]

Distinctions

Van De Ville is the recipient of the 2016 Leenaards Prize,[38] the 2014 NARSAD Independent Investigator Award,[39] the 2013 NeuroImage Editors’ Choice Award,[40] and the 2012 Pfizer Prize.[41]

He is a distinguished lecturer of the 2021-2022 Institute of Electrical and Electronics Engineers Signal Processing Society (SPS),[42] an a fellow of the Institute of Electrical and Electronics Engineers(2020).[43]

References

  1. ↑ "MIP". miplab.epfl.ch. Retrieved 2021-02-23.
  2. ↑ 2.0 2.1 "Strategic topics with a focus on the next performance period | ETH-Board". www.ethrat.ch. Retrieved 2021-02-24.
  3. ↑ Van De Ville, Dimitri (2002). Lineaire, niet-lineaire en vaaglogische beeldinterpolatietechnieken (dissertation thesis). Ghent University. hdl:1854/LU-522075.
  4. ↑ Van De Ville, Dimitri; Nachtegael, Mike; Van der Weken, Dietrich; Kerre, Etienne; Philips, Wilfried; Lemahieu, Ignace (2003). "Noise reduction by fuzzy image filtering". IEEE Transactions on Fuzzy Systems. 11 (4): 429–436. doi:10.1109/TFUZZ.2003.814830. hdl:1854/LU-212802. ISSN 1063-6706.
  5. ↑ Van De Ville, Dimitri; Duysens, J.; Rogge, B.; Van de Walle, Rik; Philips, Wilfried; Lemahieu, Ignace (2002), "Head-controlled mouse system using a low-budget webcam", Recent Research Developments in Pattern Recognition, vol. 1, pp. 247–257, hdl:1854/LU-361876, ISBN 978-81-86846-61-2, retrieved 2021-02-24
  6. ↑ "EPFL | Biomedical Imaging Group | People". bigwww.epfl.ch. Retrieved 2021-02-24.
  7. ↑ Van De Ville, Dimitri; Duysens, J.; Rogge, B.; Van de Walle, Rik; Philips, Wilfried; Lemahieu, Ignace (2002), "Head-controlled mouse system using a low-budget webcam", Recent Research Developments in Pattern Recognition, vol. 1, pp. 247–257, hdl:1854/LU-361876, ISBN 978-81-86846-61-2, retrieved 2021-02-24
  8. ↑ 8.0 8.1 "People - CIBM | Center for Biomedical Imaging". CIBM | Center for Biomedical Imaging. Retrieved 2021-02-24.
  9. ↑ "Lab :: MIP". miplab.epfl.ch. Retrieved 2021-02-24.
  10. ↑ "SNF-Förderungsprofessuren" (PDF).{{cite web}}: CS1 maint: url-status (link)
  11. ↑ Van De Ville, D.; Blu, T.; Unser, M.; Philips, W.; Lemahieu, I.; Van de Walle, R. (June 2004). "Hex-Splines: A Novel Spline Family for Hexagonal Lattices". IEEE Transactions on Image Processing. 13 (6): 758–772. Bibcode:2004ITIP...13..758V. doi:10.1109/tip.2004.827231. ISSN 1057-7149.
  12. ↑ Van De Ville, D.; Blu, T.; Unser, M. (November 2005). "Isotropic polyharmonic B-splines: scaling functions and wavelets". IEEE Transactions on Image Processing. 14 (11): 1798–1813. Bibcode:2005ITIP...14.1798V. doi:10.1109/tip.2005.857249. ISSN 1057-7149.
  13. ↑ Tafti, P.D.; Van De Ville, D.; Unser, M. (April 2009). "Invariances, Laplacian-Like Wavelet Bases, and the Whitening of Fractal Processes". IEEE Transactions on Image Processing. 18 (4): 689–702. Bibcode:2009ITIP...18..689T. doi:10.1109/TIP.2008.2011451. ISSN 1057-7149.
  14. ↑ Khalidov, Ildar; Fadili, Jalal; Lazeyras, François; Van De Ville, Dimitri; Unser, Michael (December 2011). "Activelets: Wavelets for sparse representation of hemodynamic responses". Signal Processing. 91 (12): 2810–2821. doi:10.1016/j.sigpro.2011.03.008. ISSN 0165-1684.
  15. ↑ Van De Ville, Dimitri; Seghier, Mohamed L.; Lazeyras, François; Blu, Thierry; Unser, Michael (October 2007). "WSPM: Wavelet-based statistical parametric mapping". NeuroImage. 37 (4): 1205–1217. doi:10.1016/j.neuroimage.2007.06.011. ISSN 1053-8119.
  16. ↑ Van De Ville, D.; Britz, J.; Michel, C. M. (2010-10-04). "EEG microstate sequences in healthy humans at rest reveal scale-free dynamics". Proceedings of the National Academy of Sciences. 107 (42): 18179–18184. Bibcode:2010PNAS..10718179V. doi:10.1073/pnas.1007841107. ISSN 0027-8424.
  17. ↑ Britz, Juliane; Van De Ville, Dimitri; Michel, Christoph M. (October 2010). "BOLD correlates of EEG topography reveal rapid resting-state network dynamics". NeuroImage. 52 (4): 1162–1170. doi:10.1016/j.neuroimage.2010.02.052.
  18. ↑ Richiardi, Jonas; Eryilmaz, Hamdi; Schwartz, Sophie; Vuilleumier, Patrik; Van De Ville, Dimitri (May 2011). "Decoding brain states from fMRI connectivity graphs". NeuroImage. 56 (2): 616–626. doi:10.1016/j.neuroimage.2010.05.081. ISSN 1053-8119.
  19. ↑ Richiardi, Jonas; Achard, Sophie; Bunke, Horst; Van De Ville, Dimitri (May 2013). "Machine Learning with Brain Graphs: Predictive Modeling Approaches for Functional Imaging in Systems Neuroscience". IEEE Signal Processing Magazine. 30 (3): 58–70. Bibcode:2013ISPM...30...58R. doi:10.1109/MSP.2012.2233865. ISSN 1053-5888.
  20. ↑ Richiardi, Jonas; Gschwind, Markus; Simioni, Samanta; Annoni, Jean-Marie; Greco, Beatrice; Hagmann, Patric; Schluep, Myriam; Vuilleumier, Patrik; Van De Ville, Dimitri (September 2012). "Classifying minimally disabled multiple sclerosis patients from resting state functional connectivity". NeuroImage. 62 (3): 2021–2033. doi:10.1016/j.neuroimage.2012.05.078. ISSN 1053-8119.
  21. ↑ Preti, Maria Giulia; Bolton, Thomas AW; Van De Ville, Dimitri (October 2017). "The dynamic functional connectome: State-of-the-art and perspectives". NeuroImage. 160: 41–54. doi:10.1016/j.neuroimage.2016.12.061. ISSN 1053-8119.
  22. ↑ Karahanoğlu, Fikret Işık; Van De Ville, Dimitri (September 2017). "Dynamics of large-scale fMRI networks: Deconstruct brain activity to build better models of brain function". Current Opinion in Biomedical Engineering. 3: 28–36. doi:10.1016/j.cobme.2017.09.008.
  23. ↑ Bolton, Thomas A.W.; Morgenroth, Elenor; Preti, Maria Giulia; Van De Ville, Dimitri (September 2020). "Tapping into Multi-Faceted Human Behavior and Psychopathology Using fMRI Brain Dynamics". Trends in Neurosciences. 43 (9): 667–680. doi:10.1016/j.tins.2020.06.005. ISSN 0166-2236.
  24. ↑ Leonardi, Nora; Richiardi, Jonas; Gschwind, Markus; Simioni, Samanta; Annoni, Jean-Marie; Schluep, Myriam; Vuilleumier, Patrik; Van De Ville, Dimitri (December 2013). "Principal components of functional connectivity: A new approach to study dynamic brain connectivity during rest". NeuroImage. 83: 937–950. doi:10.1016/j.neuroimage.2013.07.019. ISSN 1053-8119.
  25. ↑ Karahanoğlu, Fikret Işık; Caballero-Gaudes, César; Lazeyras, François; Van De Ville, Dimitri (June 2013). "Total activation: fMRI deconvolution through spatio-temporal regularization". NeuroImage. 73: 121–134. doi:10.1016/j.neuroimage.2013.01.067. ISSN 1053-8119.
  26. ↑ Karahanoğlu, Fikret Işik; Van De Ville, Dimitri (2015-07-16). "Transient brain activity disentangles fMRI resting-state dynamics in terms of spatially and temporally overlapping networks". Nature Communications. 6 (1): 7751. Bibcode:2015NatCo...6.7751K. doi:10.1038/ncomms8751. ISSN 2041-1723.
  27. ↑ Tarun, Anjali; Wainstein-Andriano, Danyal; Sterpenich, Virginie; Bayer, Laurence; Perogamvros, Lampros; Solms, Mark; Axmacher, Nikolai; Schwartz, Sophie; Van De Ville, Dimitri (2020-07-09). "NREM sleep stages specifically alter dynamical integration of large-scale brain networks". iScience. 24 (1): 101923. doi:10.1101/2020.07.08.193508. Retrieved 2021-02-25.
  28. ↑ Zöller, Daniela; Sandini, Corrado; Karahanoğlu, Fikret Işik; Padula, Maria Carmela; Schaer, Marie; Eliez, Stephan; Van De Ville, Dimitri (2019-10-01). "Large-Scale Brain Network Dynamics Provide a Measure of Psychosis and Anxiety in 22q11.2 Deletion Syndrome". Biological Psychiatry: Cognitive Neuroscience and Neuroimaging. 4 (10): 881–892. doi:10.1016/j.bpsc.2019.04.004. ISSN 2451-9022.
  29. ↑ Huang, Weiyu; Bolton, Thomas A. W.; Medaglia, John D.; Bassett, Danielle S.; Ribeiro, Alejandro; Van De Ville, Dimitri (May 2018). "A Graph Signal Processing Perspective on Functional Brain Imaging". Proceedings of the IEEE. 106 (5): 868–885. doi:10.1109/JPROC.2018.2798928. ISSN 0018-9219.
  30. ↑ Preti, Maria Giulia; Van De Ville, Dimitri (December 2019). "Decoupling of brain function from structure reveals regional behavioral specialization in humans". Nature Communications. 10 (1): 4747. Bibcode:2019NatCo..10.4747P. doi:10.1038/s41467-019-12765-7. ISSN 2041-1723.
  31. ↑ Tarun, Anjali; Behjat, Hamid; Bolton, Thomas; Abramian, David; Van De Ville, Dimitri (June 2020). "Structural mediation of human brain activity revealed by white-matter interpolation of fMRI". NeuroImage. 213: 116718. doi:10.1016/j.neuroimage.2020.116718. ISSN 1053-8119.
  32. ↑ Leonardi, Nora; Van De Ville, Dimitri (July 2013). "Tight Wavelet Frames on Multislice Graphs". IEEE Transactions on Signal Processing. 61 (13): 3357–3367. Bibcode:2013ITSP...61.3357L. doi:10.1109/tsp.2013.2259825. ISSN 1053-587X.
  33. ↑ Van De Ville, Dimitri; Demesmaeker, Robin; Preti, Maria Giulia (July 2017). "When Slepian Meets Fiedler: Putting a Focus on the Graph Spectrum". IEEE Signal Processing Letters. 24 (7): 1001–1004. arXiv:1701.08401. Bibcode:2017ISPL...24.1001V. doi:10.1109/lsp.2017.2704359. ISSN 1070-9908.
  34. ↑ Petrovic, Miljan; Bolton, Thomas A. W.; Preti, Maria Giulia; Liégeois, Raphaël; Van De Ville, Dimitri (January 2019). "Guided graph spectral embedding: Application to the C. elegans connectome". Network Neuroscience. 3 (3): 807–826. doi:10.1162/netn_a_00084. ISSN 2472-1751.
  35. ↑ Petrovic, Miljan; Liegeois, Raphael; Bolton, Thomas A.W.; Van De Ville, Dimitri (November 2020). "Community-Aware Graph Signal Processing: Modularity Defines New Ways of Processing Graph Signals". IEEE Signal Processing Magazine. 37 (6): 150–159. arXiv:2008.10375. Bibcode:2020ISPM...37f.150P. doi:10.1109/msp.2020.3018087. ISSN 1053-5888.
  36. ↑ Koush, Yury; Rosa, Maria Joao; Robineau, Fabien; Heinen, Klaartje; W. Rieger, Sebastian; Weiskopf, Nikolaus; Vuilleumier, Patrik; Van De Ville, Dimitri; Scharnowski, Frank (November 2013). "Connectivity-based neurofeedback: Dynamic causal modeling for real-time fMRI". NeuroImage. 81: 422–430. doi:10.1016/j.neuroimage.2013.05.010. ISSN 1053-8119.
  37. ↑ Emmert, Kirsten; Kopel, Rotem; Sulzer, James; Brühl, Annette B.; Berman, Brian D.; Linden, David E.J.; Horovitz, Silvina G.; Breimhorst, Markus; Caria, Andrea; Frank, Sabine; Johnston, Stephen (January 2016). "Meta-analysis of real-time fMRI neurofeedback studies using individual participant data: How is brain regulation mediated?". NeuroImage. 124 (Pt A): 806–812. doi:10.1016/j.neuroimage.2015.09.042. hdl:11572/121609. ISSN 1053-8119.
  38. ↑ "Attribution des Prix & Bourses scientifiques Leenaards 2016" (PDF). Fondation Leenaards.{{cite web}}: CS1 maint: url-status (link)
  39. ↑ "Dimitri Van De Ville". ieeexplore.ieee.org. Retrieved 2021-02-25.{{cite web}}: CS1 maint: url-status (link)
  40. ↑ "Editor's Choice Award 2013". NeuroImage.{{cite web}}: CS1 maint: url-status (link)
  41. ↑ "Lauréates et lauréats 2012" (PDF). Fondation du Prix Pfizer de la Recherche.{{cite web}}: CS1 maint: url-status (link)
  42. ↑ "SPS Announces 2021 Class of Distinguished Lecturers and Distinguished Industry Speakers". IEEE Signal Processing Society. 2020-12-01. Retrieved 2021-02-25.
  43. ↑ "37 SPS Members Elevated to Fellow". IEEE Signal Processing Society. 2020-01-02. Retrieved 2021-02-25.

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