ACHARD
Sophie
Senior researcher CNRS
Publications

Chapter in a book

R. Salvador, S. Achard and E. Bullmore.
Frequency-dependent functional connectivity analysis of fMRI data in Fourier and wavelet domains.
In Handbook of Brain Connectivity, Spring-Verlag Berlin-Heidelberg-New-York, pages 379-402, 2007.

Articles in a Journal with reviewing committee

F. Renard, C. Heinrich, M. Bouthillon, M. Schenck, F. Schneider, S. Kremer, S. Achard
A covariate-constraint method to map brain feature space into lower dimensional manifolds
Network Neuroscience 5(1): 252-273, doi: 10.1162/netn_a_00176, 2021.

S. Achard, M. Clausel, I. Gannaz, F. Roueff
New results on approximate Hilbert pairs of wavelet filters with common factors
Applied and Computational Harmonic Analysis 49(3): 1025-1045, doi: 10.1016/j.acha.2019.06.001, 2020.

G. Becq, E. L Barbier, S. Achard
Brain networks of rats under anesthesia using resting-state fMRI: comparison with dead rats, random noise and generative models of networks
Journal of Neural Engineering 17:045012, doi: 10.1088/1741-2552/ab9fec, 2020.

G. Becq, T. Habet, N. Collomb, M. Faucher, C. Delon-Martin, V. Coizet, S. Achard, E. L Barbier
Functional connectivity is preserved but reorganized across several anesthetic regimes
NeuroImage 219:116945, doi: 10.1016/j.neuroimage.2020.116945, 2020.

B. Malagurski, P. Péran, B. Sarton, H. Vinour, E. Naboulsi, B. Riu, F. Bounes, T. Seguin, J. Albert Lotterie, O. Fourcade, V. Minville, F. Ferré, S. Achard, S. Silva
Topological disintegration of resting state functional connectomes in coma
NeuroImage 195:354-361, doi: 10.1016/j.neuroimage.2019.03.012, 2019.

M. Leonard, F. Renard, L. Harsan, J. Pottecher, M. Braun, F. Schneider, P. Froehlig, F. Blanc, D. Roquet, S. Achard, N. Meyer, S. Kremer
Diffusion tensor imaging reveals diffuse white matter injuries in locked-in syndrome patients
Plos one 14(4), doi: 10.1371/journal.pone.0213528, 2019.

I. Suprano, C. Delon-Martin, G. Kocevar, C. Stamile, S. Hannoun, S. Achard, A. Badhwar, P. Fourneret, O. Revol, F. Nusbaum, D. Sappey-Marinier
Topological Modification of Brain Networks Organization in Children With High Intelligence Quotient: A Resting-State fMRI Study
FRONTIERS IN HUMAN NEUROSCIENCE 13(241), 2019.

K. Bigaut, S. Achard, C. Hemmert, S. Baloglu, L. Kremer, N. Collongues, J. De Sèze, S. Kremer
Resting-state functional MRI demonstrates brain network reorganization in neuromyelitis optica spectrum disorder (NMOSD)
Plos one 14(1),doi:10.1371/journal.pone.0211465, 2019.

S. E Morgan, S. Achard, M. Termenon, E. T Bullmore, P. E Vértes
Low-dimensional morphospace of topological motifs in human fMRI brain networks
Network Neuroscience 2(2),doi:/10.1162/netn_a_00038, 2019.

C. Boutière, C. Rey, W. Zaaraoui, A. Le Troter, A. Rico, L. Crespy, S. Achard, F. Reuter, F. Pariollaud, J. Wirsich, P. Asquinazi, S. Confort-Gouny, E. Soulier, M. Guye, J. Pelletier, J.-P. Ranjeva, B. Audoin
Improvement of spasticity following intermittent theta burst stimulation in multiple sclerosis is associated with modulation of resting-state functional connectivity of the primary motor cortices
Multiple Sclerosis Journal 23(6):855-863, 2017.

S. Achard and I. Gannaz.
Multivariate wavelet whittle estimation in long-range dependence
Journal of Time Series Analysis 37(4): 476–512, doi : 10.1111/jtsa.12170, 2016.

F. Harlé, F. Chatelain, C. Gouy-Pailler and S. Achard.
Bayesian model for multiple change-points detection in multivariate time series
IEEE Transaction on Signal Processing 64(16): 4351–4362, 2016

M. Termenon, C. Delon-Martin, A. Jaillard and S. Achard.
Reliability of graph analysis of resting state fMRI using test-retest dataset from the human connectome project
Neuroimage 142(15): 172–187, doi : 10.1016/j.neuroimage.2016.05.062, 2016.

The datasets are available here

M. Termenon, S. Achard, A. Jaillard and C. Delon-Martin.
The ”hub disruption index”, a reliable index sensitive to the brain networks reorganization. a study of the contralesional hemisphere in stroke
Frontiers in Computational Neuroscience 10, 2016.

B. G. Y. Ridley, C. Rousseau, J. Wirsich, A. Le Troter, E. Soulier, S. Confort-Gouny, F. Bartolomei, J.-P. Ranjeva, S. Achard and M. Guye.
Nodal approach reveals differential impact of lateralized focal epilepsies on hub reorganization.
Neuroimage 118: 39–48, doi : 10.1016/j.neuroimage.2015.05.096, 2015

F. D. V. Fallani, J. Richiardi, M. Chavez and S. Achard
Graph analysis of functional brain networks : practical issues in translational neuroscience
. Philosophical Transactions of the Royal Society B : Biological Sciences 369.1653 , 20130521. doi : 10.1098/rstb.2013.0521, 2014

J. Richiardi, S. Achard, B. Horst, and D. Van De Ville.
Machine learning with brain graphs.
IEEE Signal Processing Magazine, 30(3): 58-70, 2013.
( .pdf )

S. Achard, C. Delon-Martin, P. E. Vértes, F. Renard, M. Schenck, F. Schneider, C. Heinrich, S. Kremer, and Edward T. Bullmore.
Hubs of brain functional networks are radically reorganized in comatose patients.
Proc Natl Acad Sci U.S.A., 109(50):20608-13, 2012.
( .pdf )

J.-F. Coeurjolly, P.-O. Amblard, and S. Achard. Wavelet analysis of the multivariate fractional brownian motion.
ESAIM : Probability and Statistics. doi:10.1051/ps/2012011.
( .pdf )

S. Achard, S. Kremer, M. Schenck, F. Renard, C. Ong-Nicolas, J. I. Namer, V. Mutschler, F. Schneider, and C. Delon-Martin.
Global functional disconnections in post-anoxic coma patient
. The Neuroradiology Journal, 24(2) :311-315, 2011.
( .pdf )

S. Achard and J.-F. Coeurjolly.
Discrete variations for the fractional Brownian motion in presence of outliers and/or an additive noise.
Statistics Surveys, 4 :117-147, 2010.
( .pdf )

S. Kremer, F. Renard, V. Noblet, R. Mialin, R. Wolfram-Gabel, C. Delon-Martin, S. Achard, M. Schenck, M. Mohr, J.-L. Dietemann, F. Schneider.
Diffusion tensor imaging in human global cerebral anoxia: correlation with histology in a case with Autopsy.
Journal of Neuroradiology, 37(5):301-3, 2010.

Ooi C, T. Bullmore E, Wink A, Sendur L, Barnes A, Achard S, Aspden J, Abbott S, Yue S, Kitzbichler M, Meunier D, Maxim V, Salvador R, Henty J, Tait R, Subramaniam N, Suckling J
CamBAfx: Workflow design, implementation and application for neuroimaging.
In Front. Neuroinform. 2009.
( .pdf )

D. Meunier, S. Achard, A. Morcom and E. Bullmore.
Age-related changes in modular organization of human brain functional networks.
In Neuroimage, Volume 44(3):715-723, Fev. 2009.
( .pdf )

S. Achard, D.S. Bassett, A. Meyer-Lindenberg, and E. Bullmore.
Fractal connectivity of long-memory networks.
In Physical Review E, 77:036104, 2008.
( .pdf )

S. Achard.
Asymptotic properties of a dimension-robust quadratic dependence measure.
C. R. Acad. Sci. Paris, Ser. I(346) :213-216, 2008.
( .pdf )

L. Menzies, S. Achard, S.R. Chamberlain, N. Fineberg, C.-H. Chen, N.del Campo, B.J. Sahakian, T.W. Robbins, and E. Bullmore.
Neurocognitive endophenotypes of obsessive-compulsive disorder.
In Brain, 130(Pt 12):3223--3236, Dec 2007.
( .pdf )

S. Achard, and E. Bullmore.
Efficiency and cost of economical brain functional networks.
In PLoS Computational Biology, 3(2):e17 , Fev. 2007.
( .pdf )

D. S. Bassett, A. Meyer-Lindenberg, S. Achard, T. Duke and E. Bullmore.
Adaptive reconfiguration of fractal small-world human brain functional networks.
In PNAS, Proceedings of the National Academy of Sciences of the United States of America, , Online Dec. 2006.
( .pdf )

S. Achard, R. Salvador, B. Whitcher, J. Suckling, E. Bullmore.
A Resilient, Low-Frequency, Small-World Human Brain Functional Network with Highly Connected Association Cortical Hubs.
In Journal of Neuroscience, 26(1) pages 63-72, Jan. 2006.
( .pdf )

S. Achard and C. Jutten.
Identifiability of post non linear mixtures.
In IEEE Signal Processing letters, 12(5) pages 423-426, 2005.
( .pdf ) or ( .ps.gz )

S. Achard and D.T. Pham and C. Jutten.
Criteria based on mutual information minimization for blind source separation in post nonlinear mixtures.
In signal processing, special issue on Information Theoretic Signal Processing, 85 pages 965-974, 2005.
( .pdf ) or ( .ps.gz )

S. Meignen, S.Achard, P.Y. Guméry.
Time localization of transients with wavelet maxima lines.
In IEEE Transactions on Signal Processing, 53(6) pages 2251-2258, 2005.
( .pdf )


Conference proceedings with reviewing committee

G. Cathelain, B. Rivet, S. Achard, J. Bergounioux, F. Jouen
Smart ballistocardiography front-end
2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 2020.

G. Cathelain, B. Rivet, S. Achard, J. Bergounioux, F. Jouen
U-Net Neural Network for Heartbeat Detection in Ballistocardiography
2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2020.

H. Araghi, M. Babaie-Zadeh, S. Achard.
Dynamic K-Graphs: an Algorithm for Dynamic Graph Learning and Temporal Graph Signal Clustering
2020 28th European Signal Processing Conference (EUSIPCO), 2020.

S. Achard, P. Borgnat, I. Gannaz, M. Roux
Wavelet-based graph inference using multiple testing
Wavelets and Sparsity XVIII, 2019.

K. Ashurbekova, S. Achard, F. Forbes
Structure learning via hadamard product of correlation and partial correlation matrices
2019 27th European Signal Processing Conference (EUSIPCO), 2019.

K. Ashurbekova, S. Achard, F. Forbes
Robust penalized inference for Gaussian Scale Mixtures
SPARS 2019-Workshop on Signal Processing with Adaptive Sparse Structured Representations, 2019.

G. Becq, N. Badreddine, N. Tremblay, F. Appaix, G. Zalcman, E., S. Achard
Classification de types de neurones à partir de signaux calciques
Gretsi 2019, 2019.

G. Cathelain, B. Rivet, S. Achard, J. Bergounioux, F. Jouen
Dynamic Time Warping for heartbeat detection in ballistocardiography
2019 Computing in Cardiology (CinC), 2019.

I. Gannaz, S. Achard, M. Clausel, F. Roueff
Analytic wavelets for multivariate time series analysis
Wavelets and Sparsity XVII, 2017.

F. Renard, C. Heinrich, S. Achard, E. Hirsch, and S. Kremer.
Statistical kernel-based modeling of connectomes.
In IEEE International Workshop on Pattern Recognition in NeuroImaging, London, UK, 2012.

J. Richiardi, S. Achard, E. Bullmore, and D. Van de ville.
Classifying connectivity graphs using graph and vertex attributes.
In IEEE International Workshop on Pattern Recognition in NeuroImaging, Korea University Seoul, Korea, 2011.

F. Chatelain, S. Achard, O. Michel, C. Gouy-Pailler, and P.O Amblard.
Graphe de connectivité cérébrale et longue dépendance.
In Proc. GRETSI'11, Bordeaux, France, 2011.

S. Achard, J.F. Coeurjolly, R. Marcillaud, and J. Richiardi.
fMRI functional connectivity estimators robust to region size bias.
In IEEE Workshop on Statistical Signal Processing, SSP2011, Nice, France, 2011.


F. Chatelain, S. Achard, O. Michel, and C. Gouy-Pailler.
Multivariate approach for brain decomposable connectivity networks.
In IEEE Workshop on Statistical Signal Processing, SSP2011, Nice, France, 2011.

F. Renard, S. Achard, C. Heinrich, C. Delon-Martin, S. Kremer, M. Schenck, and F. Schneider.
Apport de l'IRM du tenseur de diffusion à l'exploration des malades cérébrolésés : corrélations anatomo-fonctionnelles.
39e congrès de la Société de Réanimation en Langue Francaise

J. Richiardi, S. Achard, and J.F. Coeurjolly D. Van de ville.
Practical issues in functional connectivity analysis : advice for practitioners.
In Alpine Brain Imaging Meeting, Champéry, Suisse, 2011.



S. Achard, S. Kremer, J.F. Coeurjolly, M. Schenck, F. Renard, C. Ong-Nicolas, J. Namer, V. Mutschler, F. Schneider, and C. Delon-Martin.
Global functional brain alterations in consciousness disorders.
In Human Brain Mapping, OHBM 2010, Barcelona, Spain, 2010.


J.F. Coeurjolly, P.-O. Amblard, and S. Achard.
Normalized causal and well-balanced multivariate fractional brownian motion.
In European Signal Processing Conference, EUSIPCO, Aalborg, Danemark, 2010.


S. Achard and C. Delon-Martin and S. Kremer and M. Schenck and T.N. Tran and C. Ronde-Oustau and J.E. Herbrecht and F. Schneider. Evaluation des altérations des connexions cérébrales par IRM fonctionnelle de repos dans le coma : résultats préliminaires 38e congrès de la Société de Réanimation en Langue Francaise

Amini L, Jutten C, Achard S, David O, Soltanian-Zadeh H, Hossein-Zadeh G, Kahane P, Minotti L, Vercueil L.
Directed epileptic network from scalp and intracranial EEG of epileptic patients.
Proceedings of the 19-th international IEEE workshop on Machine Learning for Signal Processing (MLSP 2009) - Machine Learning for Signal Processing (MLSP 2009) France (2009)

Lemoine J, Gouy-Pailler C, Achard S, Amblard P.
Recherche de la connectivité de réseaux complexes. Application en IRMf.
Actes du 22ème Colloque sur le Traitement du Signal et des Images, GRETSI 2009 - 22ème Colloque sur le Traitement du Signal et des Images, GRETSI 2009 France (2009)

Amblard P, Achard S, Lemoine J, Gouy-Pailler C.
Retrieving connectivity in complex networks of long range dependent stochastic processes.
European Conference on Complex Systems Royaume-Uni (2009)

Amini L, Jutten C, Achard S, David O, Soltanian-Zadeh H, Hossein-Zadeh G, Kahane P, Minotti L, Vercueil L.
Directed Epileptic Network From Scalp And Intracranial EEG Of Epileptic Patients.
IEEE International Workshop on Machine Learning For Signal Processing, Grenoble, France (2009).

Wendt H, Scherrer A, Abry P, Achard S.
Testing fractal connectivity in multivariate long memory processes
Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009 - IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009 Taiwan (2009)

S. Achard, C. Jutten, D.T. Pham.
Mutual information and quadratic dependence for post nonlinear blind sour ce separation.
In Proc. 13th European Signal Processing Conference, EUSIPCO 2005, Sept. 2005.
( .pdf ) or ( .ps.gz )

A. Ilin and S. Achard and C. Jutten.
Bayesian versus constrained structure approaches for source separation in post- nonlinear mixtures.
In Proceedings of the International Joint Conference on Neural Networks, IJCNN 2004., vol I, pages 2181-2186, July 2004.
( .pdf )

S.Achard, D.T. Pham, C. Jutten.
Mesure de dépendance quadratique pour la séparation aveugle de source dans les mélanges non linéaires.
In Proc. Gretsi 2003., vol I, pages 117-120, Sept. 2003.
( .pdf ) or ( .ps.gz )

S.Achard, D.T. Pham, C. Jutten.
Quadratic dependence measure for non linear blind sources separation.
In Proc. Int. Workshop on Independent Component Analysis and Blind Signal Separation, ICA2003 , Nara, Japan, pages 263-268, April, 2003.
( .pdf ) or ( .ps.gz )

S.Achard, D.T. Pham, C. Jutten.
Blind source sepration in post nonlinear mixtures.
In Proc. Int. Workshop on Independent Component Analysis and Blind Signal Separation, ICA2001 , San Diego, California, pages 295-300 , Dec., 2001.
( .pdf ) or ( .ps.gz )

S.Achard, D.T. Pham, C. Jutten.
Séparation aveugle de source dans les mélanges post non linéaires.
In Proc. Gretsi 2001., pages , Sept. 2003.
( .pdf ) or ( .ps.gz )


Laboratoire Jean Kunztmann

UMR 5224 CNRS - Université Grenoble Alpes - INRIA - Grenoble INP