COULON Olivier

Nom : COULON
Prénom : Olivier
Téléphone : 04 91 32 40 59
Fonction : Chef d'équipe
Grade : DR2
Bureau : 013

Publications



  • Atkinson-Clement C., Pinto S., Eusebio A., et Coulon O. (2017). Diffusion tensor imaging in Parkinson's disease: Review and meta-analysis. NeuroImage: Clinical, 16: 98-110.


  • Auzias G., Coulon O., et Brovelli A. (2016). MarsAtlas : A cortical parcellation atlas for functional mapping: MarsAtlas. Human Brain Mapping, 37: 1573 - 1592.


  • Brovelli A., Badier J.-M., Bonini F., Bartolomei F., Coulon O., et Auzias G. (2017). Dynamic Reconfiguration of Visuomotor-Related Functional Connectivity Networks. The Journal of Neuroscience, 37: 839-853.
  • Clouchoux C., Coulon O., Anton J.-L., Mangin J.-F., et Régis J. s. d. A new cortical surface parcellation model and its automatic implementation. .


  • Coulon O., Lefevre J., Kloppel S., Siebner H., et Mangin J.-F. (2015). Quasi-isometric length parameterization of cortical sulci: Application to handedness and the central sulcus morphology. IEEE, 1268-1271.


  • Gajawelli N., Deoni S., Dirks H., Dean D., O'Muircheartaigh J., Sawardekar S., Ezis A., Wang Y., Nelson M.D., Coulon O., et Lepore N. (2015). Characterization of the central sulcus in the brain in early childhood. IEEE, 149-152.


  • Hopkins W.D., Meguerditchian A., Coulon O., Bogart S., Mangin J.-F., Sherwood C.C., Grabowski M.W., Bennett A.J., Pierre P.J., Fears S., Woods R., Hof P.R., et Vauclair J. (2014). Evolution of the Central Sulcus Morphology in Primates. Brain, Behavior and Evolution, 84: 19-30.


  • Hopkins W.D., Meguerditchian A., Coulon O., Misiura M., Pope S., Mareno M.C., et Schapiro S.J. (2017). Motor skill for tool-use is associated with asymmetries in Broca’s area and the motor hand area of the precentral gyrus in chimpanzees (Pan troglodytes). Behavioural Brain Research, 318: 71-81.


  • Le Guen Y., Auzias G., Leroy F., Noulhiane M., Dehaene-Lambertz G., Duchesnay E., Mangin J.-F., Coulon O., et Frouin V. (2017). Genetic Influence on the Sulcal Pits: On the Origin of the First Cortical Folds. Cerebral Cortex, 1-12.


  • Le Guen Y., Leroy F., Auzias G., Riviere D., Grigis A., Mangin J.-F., Coulon O., Dehaene-Lambertz G., et Frouin V. (2018). The chaotic morphology of the left superior temporal sulcus is genetically constrained. NeuroImage.


  • Leroy F., Cai Q., Bogart S.L., Dubois J., Coulon O., Monzalvo K., Fischer C., Glasel H., Van der Haegen L., Bénézit A., Lin C.-P., Kennedy D.N., Ihara A.S., Hertz-Pannier L., Moutard M.-L., Poupon C., Brysbaert M., Roberts N., Hopkins W.D., Mangin J.-F., et Dehaene-Lambertz G. (2015). New human-specific brain landmark: The depth asymmetry of superior temporal sulcus. Proceedings of the National Academy of Sciences, 112: 1208-1213.


  • Love S.A., Marie D., Roth M., Lacoste R., Nazarian B., Bertello A., Coulon O., Anton J.-L., et Meguerditchian A. (2016). The average baboon brain: MRI templates and tissue probability maps from 89 individuals. NeuroImage, 132: 526-533.
  • Operto G., Bulot R., Anton J.-L., et Coulon O. s. d. Anatomically informed convolution kernels for the projection of fMRI data on the cortical surface. .
  • Pron A., Brun L., Deruelle C., et Coulon O. (2018). Dense and structured representations of U-Shape fibers connectivity in the central sulcus. IEEE.


  • Rabiei H., Richard F., Coulon O., et Lefevre J. (2017). Local Spectral Analysis of the Cerebral Cortex: New Gyrification Indices. IEEE Transactions on Medical Imaging, 36: 838-848.
  • Rabiei H., Richard F., Coulon O., et Lefevre J. (2019). Estimating the Complexity of the Cerebral Cortex Folding with a Local Shape Spectral Analysis. Vertex-Frequency Analysis of Graph Signals.


  • Russell J. L., Meguerditchian A., Schaeffer J., Bogart S. L., Coulon O., et Hopkins W.D. (2015). A comparative assessment of handedness and its potential neuroanatomical correlates in chimpanzees (Pan troglodytes) and bonobos (Pan paniscus). Behaviour, 152: 461-492.


  • Takerkart S., Auzias G., Brun L., et Coulon O. (2017). Structural graph-based morphometry: A multiscale searchlight framework based on sulcal pits. Medical Image Analysis, 35: 32-45.


  • Takerkart S., Auzias G., Brun L., et Coulon O. (2015). Mapping cortical shape differences using a searchlight approach based on classification of sulcal pit graphs. IEEE, 1514-1517.


  • Velly L., Perlbarg V., Boulier T., Adam N., Delphine S., Luyt C.-E., Battisti V., Torkomian G., Arbelot C., Chabanne R., Jean B., Di Perri C., Laureys S., Citerio G., Vargiolu A., Rohaut B., Bruder N., Girard N., Silva S., Cottenceau V., Tourdias T., Coulon O., Riou B., Naccache L., Gupta R., Benali H., Galanaud D., Puybasset L., Constantin J.-M., Chastre J., Amour J., Vezinet C., Rouby J.-J., Raux M., Langeron O., Degos V., Bolgert F., Weiss N., Similowski T., Demoule A., Duguet A., Tollard E., Veber B., Lotterie J.-A., Sanchez-Pena P., Génestal M., et Patassini M. (2018). Use of brain diffusion tensor imaging for the prediction of long-term neurological outcomes in patients after cardiac arrest: a multicentre, international, prospective, observational, cohort study. The Lancet Neurology, 17: 317-326.
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