Wikipedia

Dimitri Van De Ville

Dimitri Van De Ville (born 1975 in Dendermonde) is a Swiss and Belgian computer scientist and neuroscientist specialized in dynamical and network aspects of brain activity. He is a professor of bioengineering at EPFL (École Polytechnique Fédérale de Lausanne) and the head of the Medical Image Processing Laboratory at EPFL's School of Engineering.[1][2]

Professor
Dimitri Van De Ville
Dimitri Van De Ville in 2015
Born1975 (age 48–49)
Dendermonde
CitizenshipSwiss
Belgian
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, Ghent University
ThesisLineaire, niet-lineaire en vaaglogische beeldinterpolatietechnieken (Linear, nonlinear, and fuzzy image interpolation techniques) (2002)
Doctoral advisorIgnace Lemahieu
Wilfried Philips
Other advisorsMichael Unser
Academic work
DisciplineComputer science
Neuroscience
Sub-disciplineWavelet
Neuroimaging
InstitutionsEPFL (École Polytechnique Fédérale de Lausanne)
University of Geneva
Main interestsSignal processing
Computational neuroimaging
Websitehttps://miplab.epfl.ch/

Career

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Van De Ville studied computer sciences 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][5] In 2005, he became group leader of the Signal Processing Core Geneva at the CIBM Center for Biomedical Imaging.[7]

In 2009, enabled by a SNSF Professorship Grant, he founded the Medical Image Processing Laboratory that is jointly held by EPFL's Institute of Bioengineering and the University of Geneva's Faculty of Medicine, and that is currently situated at the Campus Biotech in Geneva.[8][9] In 2015, he was appointed tenured associate professor at EPFL with an adjunct appointment at the University of Geneva.[2][10] 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.[7]

Research

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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 at the interface of signal processing, data and network science, statistics, and applies them to investigate brain function.

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, on which a function is expressed.[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 underlying 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]

He is also actively developing real-time neuro-feedback applications of fMRI that allow for the self-regulation of brain activity by the volunteer in the scanner by the principle of biofeedback.[36][37]

Distinctions

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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 IEEE Signal Processing Society (SPS),[42] and a Fellow of the IEEE (2020).[43]

He is the president of the board of the Swiss Society for Biomedical Engineering (SSBE; since 2020).[44] He was founding chair of the Special Attention Team for Biomedical Image & Signal Analytics of the European Association for Signal Processing (EURASIP; 2016–2019),[45] and vice-chair (2011), chair (2012–2013), and past chair (2014) of the Biomedical Imaging & Signal Processing (BISP) Technical Committee of the IEEE Signal Processing Society (SPS).[46]

He has been a senior associate editor of the IEEE Transactions on Signal Processing (since 2019),[47] an associate editor of the SIAM Journal of Imaging Sciences (since 2018),[48] a founding associate editor of Elsevier NeuroImage Reports (since 2020),[49] an associate editor of the IEEE Transactions on Image Processing (2006–2009), and an associate editor of the IEEE Signal Processing Letters (2004–2006).

Selected works

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References

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  1. ^ "MIP". miplab.epfl.ch. Retrieved 23 February 2021.
  2. ^ a b "Strategic topics with a focus on the next performance period | ETH-Board". www.ethrat.ch. Retrieved 24 February 2021.
  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. ^ a b 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 24 February 2021
  6. ^ "EPFL | Biomedical Imaging Group | People". bigwww.epfl.ch. Retrieved 24 February 2021.
  7. ^ a b "People – CIBM | Center for Biomedical Imaging". CIBM | Center for Biomedical Imaging. Retrieved 24 February 2021.
  8. ^ "Lab :: MIP". miplab.epfl.ch. Retrieved 24 February 2021.
  9. ^ "SNF-Förderungsprofessuren" (PDF).
  10. ^ Evangelista, Sandy (13 July 2015). "Eight appointed professors". {{cite journal}}: Cite journal requires |journal= (help)
  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. PMID 15648867. S2CID 9832708.
  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. PMID 16279181. S2CID 9321887.
  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. PMID 19278914. S2CID 6013652.
  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. PMID 17689101. S2CID 714379.
  16. ^ Van De Ville, D.; Britz, J.; Michel, C. M. (4 October 2010). "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. PMC 2964192. PMID 20921381.
  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. PMID 20188188. S2CID 125718.
  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. PMID 20541019. S2CID 561574.
  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. S2CID 6198213.
  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. PMID 22677149. S2CID 16232878.
  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. PMID 28034766. S2CID 6198510.
  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. PMID 32682563. S2CID 220527251.
  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. PMID 23872496. S2CID 14198209.
  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. PMID 23384519. S2CID 812802.
  26. ^ Karahanoğlu, Fikret Işik; Van De Ville, Dimitri (16 July 2015). "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. PMC 4518303. PMID 26178017.
  27. ^ Tarun, Anjali; Wainstein-Andriano, Danyal; Sterpenich, Virginie; Bayer, Laurence; Perogamvros, Lampros; Solms, Mark; Axmacher, Nikolai; Schwartz, Sophie; Van De Ville, Dimitri (9 July 2020). "NREM sleep stages specifically alter dynamical integration of large-scale brain networks". iScience. 24 (1): 101923. bioRxiv 10.1101/2020.07.08.193508. doi:10.1016/j.isci.2020.101923. PMC 7773861. PMID 33409474.
  28. ^ Zöller, Daniela; Sandini, Corrado; Karahanoğlu, Fikret Işik; Padula, Maria Carmela; Schaer, Marie; Eliez, Stephan; Van De Ville, Dimitri (1 October 2019). "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. PMID 31171499. S2CID 174816631.
  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. S2CID 13810090.
  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. PMC 6800438. PMID 31628329.
  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. arXiv:1908.09593. doi:10.1016/j.neuroimage.2020.116718. ISSN 1053-8119. PMID 32184188. S2CID 202153514.
  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. S2CID 9226088.
  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. S2CID 5628005.
  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. PMC 6663470. PMID 31410381.
  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. S2CID 221266473.
  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. PMC 3734349. PMID 23668967.
  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. PMID 26419389. S2CID 18911319.
  38. ^ "Attribution des Prix & Bourses scientifiques Leenaards 2016" (PDF). Fondation Leenaards.
  39. ^ "Dimitri Van De Ville". IEEE. Retrieved 25 February 2021.
  40. ^ "Editor's Choice Award 2013". NeuroImage. Archived from the original on 14 January 2015.
  41. ^ "Lauréates et lauréats 2012" (PDF). Fondation du Prix Pfizer de la Recherche.
  42. ^ "SPS Announces 2021 Class of Distinguished Lecturers and Distinguished Industry Speakers". IEEE Signal Processing Society. 1 December 2020. Retrieved 25 February 2021.
  43. ^ "37 SPS Members Elevated to Fellow". IEEE Signal Processing Society. 2 January 2020. Retrieved 25 February 2021.
  44. ^ "SSBE – Discover our organization". www.ssbe.ch. Retrieved 8 March 2021.
  45. ^ "TAC Biomedical Image & Signal Analytics". www.eurasip.org. Retrieved 8 March 2021.
  46. ^ "BISP TC Home". IEEE Signal Processing Society. 6 March 2018. Retrieved 8 March 2021.
  47. ^ "Editorial Board". IEEE Signal Processing Society. 29 February 2016. Retrieved 8 March 2021.
  48. ^ "SIIMS | Editorial Board | SIAM". www.siam.org. Retrieved 8 March 2021.
  49. ^ NeuroImage: Reports Editorial Board.
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