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1. SISSY: An efficient and automatic algorithm for the analysis of EEG sources based on structured sparsity

Author

Isabelle Merlet, Rémi Gribonval, Hanna Becker, Laurent Albera, Jean-Claude Nunes, Philippe Guillotel, Julien Fleureau, Pierre Comon, Technicolor R & I [Cesson Sévigné], Technicolor, Laboratoire Traitement du Signal et de l'Image (LTSI), Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM), GIPSA - Communication Information and Complex Systems (GIPSA-CICS), Département Images et Signal (GIPSA-DIS), Grenoble Images Parole Signal Automatique (GIPSA-lab ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Grenoble Images Parole Signal Automatique (GIPSA-lab ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Parcimonie et Nouveaux Algorithmes pour le Signal et la Modélisation Audio (PANAMA), Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE (IRISA-D5), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), H. Becker was partly supported by Conseil Régional PACA and by CNRS France. The work of P. Comon was partly funded by the European Research Council under the EC 7th framework programme FP7/2007-2013 Grant Agreement no. 320594., European Project: 320594,EC:FP7:ERC,ERC-2012-ADG_20120216,DECODA(2013), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Rennes 1 (UR1), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM), SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE (IRISA-D5), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria), Albera, Laurent, and Tensor Decomposition for Data Analysis with Applications to Health and Environment - DECODA - - EC:FP7:ERC2013-09-01 - 2018-08-31 - 320594 - VALID

Subjects
Optimization problem, Computer science, Cognitive Neuroscience, Regularization (mathematics), Extended source localization, 030218 nuclear medicine & medical imaging, Domain (software engineering), lcsh:RC321-571, 03 medical and health sciences, 0302 clinical medicine, Image Processing, Computer-Assisted, Humans, [SDV.NEU] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], EEG, lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry, Cerebral Cortex, [SDV.IB] Life Sciences [q-bio]/Bioengineering, Brain Mapping, Electroencephalography, Signal Processing, Computer-Assisted, Models, Theoretical, Term (time), Neurology, Second-order cone programming, [SDV.IB]Life Sciences [q-bio]/Bioengineering, [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], Focus (optics), ADMM, Algorithm, Sparsity, 030217 neurology & neurosurgery
Abstract

International audience; Over the past decades, a multitude of different brain source imaging algorithms have been developed to identify the neural generators underlying the surface electroencephalography measurements. While most of these techniques focus on determining the source positions, only a small number of recently developed algorithms provides an indication of the spatial extent of the distributed sources. In a recent comparison of brain source imaging approaches, the VB-SCCD algorithm has been shown to be one of the most promising algorithms among these methods. However, this technique suffers from several problems: it leads to amplitude-biased source estimates, it has difficulties in separating close sources, and it has a high computational complexity due to its implementation using second order cone programming. To overcome these problems, we propose to include an additional regularization term that imposes sparsity in the original source domain and to solve the resulting optimization problem using the alternating direction method of multipliers. Furthermore, we show that the algorithm yields more robust solutions by taking into account the temporal structure of the data. We also propose a new method to automatically threshold the estimated source distribution, which permits to delineate the active brain regions. The new algorithm, called Source Imaging based on Structured Sparsity (SISSY), is analyzed by means of realistic computer simulations and is validated on the clinical data of four patients.

Published
2017

2. Environmental endocrine disruption of the ovary

Author

Fowler, Paul, Lea, R., Sinclair, K., Pocar, P., Fischer, B., Rhind, S., O'Shaughnessy, P., Cotinot, Corinne, University of Aberdeen, University of Nottingham, UK (UON), Università degli Studi di Milano [Milano] (UNIMI), Martin-Luther-University Halle-Wittenberg, Macaulay Land Use Research Institute, Partenaires INRAE, University of Glasgow, Biologie du développement et reproduction (BDR), Centre National de la Recherche Scientifique (CNRS)-École nationale vétérinaire d'Alfort (ENVA)-Institut National de la Recherche Agronomique (INRA), EC 7th Framework Programme (FP7/2007-2013), and Nordic Federation of Societies of Obstetrics and Gynecology. DNK.

Subjects
ovary, [SDV.BDLR]Life Sciences [q-bio]/Reproductive Biology, environment, reproductive health, [SDV.BDD]Life Sciences [q-bio]/Development Biology
Abstract

International audience; There is growing evidence that various female reproductive syndromes may be due to environmental chemicals, as is Testis Dysgenesis Syndrome. The detrimental effects of exposure to environmental chemicals include developmental abnormalities, adult dysfunction and cancers in the ovary, urogenital tract, genitalia, mammary gland and hypothalamus/pituitary. Some symptoms, especially premature menarche and premature ovarian ageing, are of considerable concern. This is especially true in countries where women delay childbirth until they reach ages where fecundity would de-facto be reduced even without exposure to environmental chemicals. It is now many years since ovarian formation was thought to be simply due to the absence of SRY and testosterone. We now know that the process leading to a functional ovary in the adult includes complex endocrine signalling. Therefore, the fetal ovary is susceptible to endocrine disruption during development and its controlled development in-utero is critical for the reproductive health of the adult female. Indeed, in women, and model experimental species such as the sheep, the fetal ovary contains the machinery for oestradiol production and reception prior and during to primordial follicle formation. Both real life and experimental exposures have highlighted key mechanisms that are sensitive to environmental chemicals. These include: i) establishment of somatic cell numbers, ii) primordial follicle formation, ii) follicle activation and iv) maintenance of follicle health. All these processes play an important role in the establishment of fecundity in the female and their disturbance by endocrine disruptors is of serious concern.

Published
2010

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