Generating controlled image sets in cognitive neuroscience research.

The investigation of perceptual and cognitive functions with non-invasive brain imaging methods critically depends on the careful selection of stimuli for use in experiments. For example, it must be verified that any observed effects follow from the parameter of interest (e.g. semantic category) rather than other low-level physical features (e.g. luminance, or spectral properties). Otherwise, interpretation of results is confounded. Often, researchers circumvent this issue by including additional control conditions or tasks, both of which are flawed and also prolong experiments. Here, we present some new approaches for controlling classes of stimuli intended for use in cognitive neuroscience, however these methods can be readily extrapolated to other applications and stimulus modalities. Our approach is comprised of two levels. The first level aims at equalizing individual stimuli in terms of their mean luminance. Each data point in the stimulus is adjusted to a standardized value based on a standard value across the stimulus battery. The second level analyzes two populations of stimuli along their spectral properties (i.e. spatial frequency) using a dissimilarity metric that equals the root mean square of the distance between two populations of objects as a function of spatial frequency along x- and y-dimensions of the image. Randomized permutations are used to obtain a minimal value between the populations to minimize, in a completely data-driven manner, the spectral differences between image sets. While another paper in this issue applies these methods in the case of acoustic stimuli (Aeschlimann et al., Brain Topogr 2008), we illustrate this approach here in detail for complex visual stimuli.

A Survey of Active Learning Algorithms for Supervised Remote Sensing Image Classification

Defining an efficient training set is one of the most delicate phases for the success of remote sensing image classification routines. The complexity of the problem, the limited temporal and financial resources, as well as the high intraclass variance can make an algorithm fail if it is trained with a suboptimal dataset. Active learning aims at building efficient training sets by iteratively improving the model performance through sampling. A user-defined heuristic ranks the unlabeled pixels according to a function of the uncertainty of their class membership and then the user is asked to provide labels for the most uncertain pixels. This paper reviews and tests the main families of active learning algorithms: committee, large margin, and posterior probability-based. For each of them, the most recent advances in the remote sensing community are discussed and some heuristics are detailed and tested. Several challenging remote sensing scenarios are considered, including very high spatial resolution and hyperspectral image classification. Finally, guidelines for choosing the good architecture are provided for new and/or unexperienced user.

Defining the site of light perception and initiation of phototropism in Arabidopsis.

Phototropism is an adaptive response allowing plants to optimize photosynthetic light capture. This is achieved by asymmetric growth between the shaded and lit sides of the stimulated organ. In grass seedlings, the site of phototropin-mediated light perception is distinct from the site of bending; however, in dicotyledonous plants (e.g., Arabidopsis), spatial aspects of perception remain debatable. We use morphological studies and genetics to show that phototropism can occur in the absence of the root, lower hypocotyl, hypocotyl apex, and cotyledons. Tissue-specific expression of the phototropin1 (phot1) photoreceptor demonstrates that light sensing occurs in the upper hypocotyl and that expression of phot1 in the hypocotyl elongation zone is sufficient to enable a normal phototropic response. Moreover, we show that efficient phototropism occurs when phot1 is expressed from endodermal, cortical, or epidermal cells and that its local activation rapidly leads to a global response throughout the seedling. We propose that spatial aspects in the steps leading from light perception to growth reorientation during phototropism differ between grasses and dicots. These results are important to properly interpret genetic experiments and establish a model connecting light perception to the growth response, including cellular and morphological aspects.

La définition des interfaces pour améliorer la qualité: l'exemple de l'anorexie en hospitalisation somatique [Defining interfaces to improve quality of care: the example of anorexia nervosa in acute somatic hospitalisation]

Specialisation in medicine requires multidisciplinary approaches, and hence coordination in collaborations of the different partners involved. These integrated approaches, sometimes called "disease management", fit particularly well to chronic diseases. Our institution introduced an integrated approach for taking care of the acute somatic hospitalisation of patients suffering from anorexia nervosa. Interfaces with the different partners were defined, specifying tasks, rights, and duties of each person, care givers or patients. This initiative allows now to identify any deviation occurring in the process of care or hole in the care system, so that it can be corrected and recurrence prevented. This model will be extended to other complex and multidisciplinary care processes and other services in our institution.

Defining secretion processes in astrocytes

During the last decade, evidence that release of chemical transmitters from astrocytes might modulate neuronal activity (the so-called "gliotransmission") occurs in situ has been extensively provided. Nevertheless, gliotransmission remains a highly debated topic because of the lack of direct morphological and functional evidence. Here we provided new information supporting gliotransmission, by i) deepen knowledge about specific properties of regulated secretion of glutamatergic SLMVs, and ii) investigating the involvement of astrocytes in the transmission of dopamine, a molecule whose interaction with astrocytes is likely to occur, but it's still not proven.¦VGLUT-expressing glutamatergic SLMVs have been previously identified both in situ and in vitro, but description of kinetics of release were still lacking. To elucidate this issue, we took advantage of fluorescent tools (styryl dyes and pHluorin) and adapted experimental paradigms and analysis methods previously developed to study exo-endocytosis and recycling of glutamatergic vesicles at synapses. Parallel use of EPIfluorescence and total internal reflection (TIRF) imaging allowed us to find that exo-endocytosis processes in astrocytes are extremely fast, with kinetics in the order of milliseconds, able to sustain and follow neuronal signalling at synapses. Also, exocytosis of SLMVs is under the control of fast, localized Ca2+ elevations in close proximity of SLMVs and endoplasmatic reticulum (ER) tubules, the intracellular calcium stores. Such complex organization supports the fast stimulus-secretion coupling we described; localized calcium elevations have been recently observed in astrocytes in situ, suggesting that these functional microdomains might be present in the intact tissue. In the second part of the work, we investigated whether astrocytes possess some of the benchmarks of brain dopaminergic cells. It's been known for years that astrocytes are able to metabolize monoamines by the enzymes MAO and COMT, but to date no clear information that glial cells are able to uptake and store monoamines have been provided. Here, we identified a whole apparatus for the storage, degradation and release of monoamines, at the ultrastructural level. Electron microscopy immunohistochemistry allowed us to visualize VMAT2- and dopamine-positive intracellular compartments within astrocytic processes, i.e. dense -core granules and cisterns. These organelles might be responsible for dopamine release and storage, respectively; interestingly, this intracellular distribution is reminiscent of VMAT2 expression in dendrites if neurons, where dopamine release is tonic and plays a role in the regulation of its a basal levels, suggesting that astrocytic VMAT2 is involved in the homeostasis of dopamine in healthy brains of adult mammals.¦Durant cette dernière décennie, de nombreux résultats sur le relâchement des transmetteurs par les astrocytes pouvant modulé l'activité synaptique (gliotransmission) ont été fournis. Néanmoins, la gliotransmission reste un processus encore très débattu, notamment à cause de l'absence de preuves directes, morphologique et fonctionnelle démontrant ce phénomène. Nous présentons dans nos travaux de nombreux résultats confortant l'hypothèse de la gliotransmission, dont i) une étude approfondie sur les propriétés spatiales et temporelles de la sécrétion régulée du glutamate dans les astrocytes, et ii) une étude sur la participation des astrocytes dans la transmission de la dopamine, une neuromodulateur dont l'interaction avec les astrocytes est fortement probable, mais qui n'a encore jamais été prouvée. L'expression des petites vésicules (SLMVs - Synaptic Like Micro Vesicles) glutamatergiques exprimant les transporteurs vésiculaires du glutamate (VGLUTs) dans les astrocytes a déjà été prouvé tant in situ qu'in vitro. Afin de mettre en évidence les propriétés précises de la sécrétion de ces organelles, nous avons adapté à nos études des méthodes expérimentales conçues pour observer les processus de exocytose et endocytose dans les neurones. Les résolutions spatiale et temporelle obtenues, grâce a l'utilisation en parallèle de l'épi fluorescence et de la fluorescence a onde évanescente (TIRF), nous ont permis de montrer que la sécrétion régulée dans les astrocytes est un processus extrêmement rapide (de l'ordre de la milliseconde) et qu'elle est capable de soutenir et de suivre la transmission de signaux entre neurones. Nous avons également découvert que cette sécrétion a lieu dans des compartiments subcellulaires particuliers où nous observons la présence du reticulum endoplasmique (ER) ainsi que des augmentations rapides de calcium. Cette organisation spatiale complexe pourrait être la base morphologique du couplage rapide entre le stimulus et la sécrétion. Par ailleurs, plusieurs études récentes in vivo semblent confirmer l'existence de ces compartiments. Depuis des années nous savons que les astrocytes sont capables de métaboliser les monoamines par les enzymes MAO et COMT. Nous avons donc fourni de nouvelles preuves concernant la présence d'un appareil de stockage dans les astrocytes participant à la dégradation et la libération de monoamines au niveau ultrastructurelle. Grâce à la microscopie électronique, nous avons découvert la présence de compartiments intracellulaires exprimant VMAT2 dans les processus astrocytaires, sous forme de granules et des citernes. Ces organelles pourraient donc être responsables à la fois du relâchement et du stockage de la dopamine. De manière surprenante, cette distribution intracellulaire est similaire aux dendrites des neurones exprimant VMAT2, où la dopamine est libérée de façon tonique permettant d'agir sur la régulation de ses niveaux de base. Ces résultats, suggèrent une certaine participation des VMAT2 présents dans les astrocytes dans le processus d'homéostase de la dopamine dans le cerveau.¦A de nombreuses reprises, dans des émissions scientifiques ou dans des films, il est avancé que les hommes n'utilisent que 10% du potentiel de leur cerveau. Cette légende provient probablement du fait que les premiers chercheurs ayant décrit les cellules du cerveau entre le XIXème et le XXeme siècle, ont montré que les neurones, les cellules les plus connues et étudiées de cet organe, ne représentent seulement que 10% de la totalité des cellules composant du cerveau. Parmi les 90% restantes, les astrocytes sont sans doute les plus nombreuses. Jusqu'au début des années 90, les astrocytes ont été plutôt considérés peu plus que du tissu conjonctif, ayant comme rôles principaux de maintenir certaines propriétés physiques du cerveau et de fournir un support métabolique (énergie, environnement propre) aux neurones. Grace à la découverte que les astrocytes ont la capacité de relâcher des substances neuro-actives, notamment le glutamate, le rôle des astrocytes dans le fonctionnement cérébral a été récemment reconsidérée.¦Le rôle du glutamate provenant des astrocytes et son impact sur la fonctionnalité des neurones n'a pas encore été totalement élucidé, malgré les nombreuses publications démontrant l'importance de ce phénomène en relation avec différentes fonctions cérébrales. Afin de mieux comprendre comment les astrocytes sont impliqués dans la transmission cérébrale, nous avons étudié les propriétés spatio-temporelles de cette libération grâce à l'utilisation des plusieurs marqueurs fluorescents combinée avec différentes techniques d'imagerie cellulaires. Nous avons découvert que la libération du glutamate par les astrocytes (un processus maintenant appelé "gliotransmission") était très rapide et contrôlée par des augmentations locales de calcium. Nous avons relié ces phénomènes à des domaines fonctionnels subcellulaires morphologiquement adaptés pour ce type de transmission. Plus récemment, nous avons concentré nos études sur un autre transmetteur très important dans le fonctionnement du cerveau : la dopamine. Nos résultats morphologiques semblent indiquer que les astrocytes ont la capacité d'interagir avec ce transmetteur, mais d'une manière différente comparée au glutamate, notamment en terme de rapidité de transmission. Ces résultats suggèrent que le astrocytes ont la capacité de modifier leurs caractéristiques et de s'adapter à leur environnement par rapport aux types de transmetteur avec lequel ils doivent interagir.

Connexin 30 sets synaptic strength by controlling astroglial synapse invasion.

Astrocytes play active roles in brain physiology by dynamic interactions with neurons. Connexin 30, one of the two main astroglial gap-junction subunits, is thought to be involved in behavioral and basic cognitive processes. However, the underlying cellular and molecular mechanisms are unknown. We show here in mice that connexin 30 controls hippocampal excitatory synaptic transmission through modulation of astroglial glutamate transport, which directly alters synaptic glutamate levels. Unexpectedly, we found that connexin 30 regulated cell adhesion and migration and that connexin 30 modulation of glutamate transport, occurring independently of its channel function, was mediated by morphological changes controlling insertion of astroglial processes into synaptic clefts. By setting excitatory synaptic strength, connexin 30 plays an important role in long-term synaptic plasticity and in hippocampus-based contextual memory. Taken together, these results establish connexin 30 as a critical regulator of synaptic strength by controlling the synaptic location of astroglial processes.

X-ray microtomography of Larger Foraminifera

X-ray microtomography has become a new tool in earth sciences to obtain non-destructive 3D-image data from geological objects in which variations in mineralogy, chemical composition and/or porosity create sufficient x-ray density contrasts.We present here first, preliminary results of an application to the external and internal morphology of Permian to Recent Larger Foraminifera. We use a SkyScan-1072 high-resolution desk-top micro-CT system. The system has a conical x-ray source with a spot size of about 5µm that runs at 20-100kV, 0-250µA, resulting in a maximal resolution of 5µm. X-ray transmission images are captured by a scintillator coupled via fibre optics to a 1024x1024 pixel 12-bit CCD. The object is placed between the x-ray source and the scintillator on a stub that rotates 360°around its vertical axis in steps as small as 0.24 degrees. Sample size is limited to 2 cm due to the absorption of geologic material for x-rays. The transmission images are back projected using a Feldkamp algorithm into a vertical stack of up to 1000 1Kx1K images that represent horizontal cuts of the object. This calculation takes 2 to several hours on a Double-Processor 2.4GHz PC. The stack of images (.bmp) can be visualized with any 3D-imaging software, used to produce cuts of Larger Foraminifera. Among other applications, the 3D-imaging software furnished by SkyScan can produce 3D-models by defining a threshold density value to distinguish "solid" from "void. Several models with variable threshold values and colors can be imbricated, rotated and cut together. The best results were obtained with microfossils devoid of chamber-filling cements (Permian, Eocene, Recent). However, even slight differences in cement mineralogy/composition can result in surprisingly good x-ray density contrasts.X-ray microtomography may develop into a powerful tool for larger microfossils with a complex internal structure, because it is non-destructive, requires no preparation of the specimens, and produces a true 3D-image data set. We will use these data sets in the future to produce cuts in any direction to compare them with arbitrary cuts of complex microfossils in thin sections. Many groups of benthic and planktonic foraminifera may become more easily determinable in thin section by this way.

Forecasting nano law: defining nano

Law and science have partnered together in the recent past to solve major public health issues, ranging from asbestos to averting the threat of a nuclear holocaust. This paper travels to a legal and health policy frontier where no one has gone before, examining the role of precautionary principles under international law as a matter of codified international jurisprudence by examining draft terminology from prominent sources including the Royal Commission on Environmental Pollution (UK), the Swiss Confederation, the USA (NIOSH) and the OECD. The research questions addressed are how can the benefits of nanotechnology be realized, while minimizing the risk of harm? What law, if any, applies to protect consumers (who comprise the general public, nanotechnology workers and their corporate social partners) and other stakeholders within civil society from liability? What law, if any, applies to prevent harm?

Defining the role of common variation in the genomic and biological architecture of adult human height.

Using genome-wide data from 253,288 individuals, we identified 697 variants at genome-wide significance that together explained one-fifth of the heritability for adult height. By testing different numbers of variants in independent studies, we show that the most strongly associated ∼2,000, ∼3,700 and ∼9,500 SNPs explained ∼21%, ∼24% and ∼29% of phenotypic variance. Furthermore, all common variants together captured 60% of heritability. The 697 variants clustered in 423 loci were enriched for genes, pathways and tissue types known to be involved in growth and together implicated genes and pathways not highlighted in earlier efforts, such as signaling by fibroblast growth factors, WNT/β-catenin and chondroitin sulfate-related genes. We identified several genes and pathways not previously connected with human skeletal growth, including mTOR, osteoglycin and binding of hyaluronic acid. Our results indicate a genetic architecture for human height that is characterized by a very large but finite number (thousands) of causal variants.

The Evangelical Milieu : Defining Criteria and Reproduction across the Generation

The authors give the first description of evangelicalism in Switzerland using representative data. It is shown that evangelicalism can be conceived of as a "milieu" which is characterized by certain structural and cultural traits, boundaries and high internal communication. The relative success of the evangelical milieu compared to other religious milieus is explained by its remarkable ability to retain its own numerous offspring, while on the other hand providing a "religious product" that is also attractive to people without an evangelical familial background. Les auteurs utilisent des données représentatives afin de faire, pour la première fois, une description de l'évangélisme en Suisse. Ils montrent qu'on peut parler de l'évangélisme comme d'un "milieu'' qui se caractérise par certains attributs structurels et culturels, des frontières et une communication interne élevée. Le succès relatif du milieu évangélique comparé à d'autres milieux s'explique par sa capacité remarquable à retenir les enfants de ses membres dans le mouvement tout en offrant un "produit religieux'' attractif aux personnes sans arrière-fond évangélique.

Comparative genomics of ParaHox clusters of teleost fishes: gene cluster breakup and the retention of gene sets following whole genome duplications.

BACKGROUND: The evolutionary lineage leading to the teleost fish underwent a whole genome duplication termed FSGD or 3R in addition to two prior genome duplications that took place earlier during vertebrate evolution (termed 1R and 2R). Resulting from the FSGD, additional copies of genes are present in fish, compared to tetrapods whose lineage did not experience the 3R genome duplication. Interestingly, we find that ParaHox genes do not differ in number in extant teleost fishes despite their additional genome duplication from the genomic situation in mammals, but they are distributed over twice as many paralogous regions in fish genomes. RESULTS: We determined the DNA sequence of the entire ParaHox C1 paralogon in the East African cichlid fish Astatotilapia burtoni, and compared it to orthologous regions in other vertebrate genomes as well as to the paralogous vertebrate ParaHox D paralogons. Evolutionary relationships among genes from these four chromosomal regions were studied with several phylogenetic algorithms. We provide evidence that the genes of the ParaHox C paralogous cluster are duplicated in teleosts, just as it had been shown previously for the D paralogon genes. Overall, however, synteny and cluster integrity seems to be less conserved in ParaHox gene clusters than in Hox gene clusters. Comparative analyses of non-coding sequences uncovered conserved, possibly co-regulatory elements, which are likely to contain promoter motives of the genes belonging to the ParaHox paralogons. CONCLUSION: There seems to be strong stabilizing selection for gene order as well as gene orientation in the ParaHox C paralogon, since with a few exceptions, only the lengths of the introns and intergenic regions differ between the distantly related species examined. The high degree of evolutionary conservation of this gene cluster's architecture in particular - but possibly clusters of genes more generally - might be linked to the presence of promoter, enhancer or inhibitor motifs that serve to regulate more than just one gene. Therefore, deletions, inversions or relocations of individual genes could destroy the regulation of the clustered genes in this region. The existence of such a regulation network might explain the evolutionary conservation of gene order and orientation over the course of hundreds of millions of years of vertebrate evolution. Another possible explanation for the highly conserved gene order might be the existence of a regulator not located immediately next to its corresponding gene but further away since a relocation or inversion would possibly interrupt this interaction. Different ParaHox clusters were found to have experienced differential gene loss in teleosts. Yet the complete set of these homeobox genes was maintained, albeit distributed over almost twice the number of chromosomes. Selection due to dosage effects and/or stoichiometric disturbance might act more strongly to maintain a modal number of homeobox genes (and possibly transcription factors more generally) per genome, yet permit the accumulation of other (non regulatory) genes associated with these homeobox gene clusters.

Histology-driven data mining of lipid signatures from multiple imaging mass spectrometry analyses: application to human colorectal cancer liver metastasis biopsies.

Imaging mass spectrometry (IMS) represents an innovative tool in the cancer research pipeline, which is increasingly being used in clinical and pharmaceutical applications. The unique properties of the technique, especially the amount of data generated, make the handling of data from multiple IMS acquisitions challenging. This work presents a histology-driven IMS approach aiming to identify discriminant lipid signatures from the simultaneous mining of IMS data sets from multiple samples. The feasibility of the developed workflow is evaluated on a set of three human colorectal cancer liver metastasis (CRCLM) tissue sections. Lipid IMS on tissue sections was performed using MALDI-TOF/TOF MS in both negative and positive ionization modes after 1,5-diaminonaphthalene matrix deposition by sublimation. The combination of both positive and negative acquisition results was performed during data mining to simplify the process and interrogate a larger lipidome into a single analysis. To reduce the complexity of the IMS data sets, a sub data set was generated by randomly selecting a fixed number of spectra from a histologically defined region of interest, resulting in a 10-fold data reduction. Principal component analysis confirmed that the molecular selectivity of the regions of interest is maintained after data reduction. Partial least-squares and heat map analyses demonstrated a selective signature of the CRCLM, revealing lipids that are significantly up- and down-regulated in the tumor region. This comprehensive approach is thus of interest for defining disease signatures directly from IMS data sets by the use of combinatory data mining, opening novel routes of investigation for addressing the demands of the clinical setting.

Imputation in data fusion of heterogeneous data sets a model-based numerical experiment

Given the very large amount of data obtained everyday through population surveys, much of the new research again could use this information instead of collecting new samples. Unfortunately, relevant data are often disseminated into different files obtained through different sampling designs. Data fusion is a set of methods used to combine information from different sources into a single dataset. In this article, we are interested in a specific problem: the fusion of two data files, one of which being quite small. We propose a model-based procedure combining a logistic regression with an Expectation-Maximization algorithm. Results show that despite the lack of data, this procedure can perform better than standard matching procedures.