Spatial prediction of monthly wind speeds in complex terrain with adaptive general regression neural networks

This paper presents the general regression neural networks (GRNN) as a nonlinear regression method for the interpolation of monthly wind speeds in complex Alpine orography. GRNN is trained using data coming from Swiss meteorological networks to learn the statistical relationship between topographic features and wind speed. The terrain convexity, slope and exposure are considered by extracting features from the digital elevation model at different spatial scales using specialised convolution filters. A database of gridded monthly wind speeds is then constructed by applying GRNN in prediction mode during the period 1968-2008. This study demonstrates that using topographic features as inputs in GRNN significantly reduces cross-validation errors with respect to low-dimensional models integrating only geographical coordinates and terrain height for the interpolation of wind speed. The spatial predictability of wind speed is found to be lower in summer than in winter due to more complex and weaker wind-topography relationships. The relevance of these relationships is studied using an adaptive version of the GRNN algorithm which allows to select the useful terrain features by eliminating the noisy ones. This research provides a framework for extending the low-dimensional interpolation models to high-dimensional spaces by integrating additional features accounting for the topographic conditions at multiple spatial scales. Copyright (c) 2012 Royal Meteorological Society.

Coordination on Networks: Does Topology Matter?

Effective coordination is key to many situations that affect the well-being of two or more humans. Social coordination can be studied in coordination games between individuals located on networks of contacts. We study the behavior of humans in the laboratory when they play the Stag Hunt game - a game that has a risky but socially efficient equilibrium and an inefficient but safe equilibrium. We contrast behavior on a cliquish network to behavior on a random network. The cliquish network is highly clustered and resembles more closely to actual social networks than the random network. In contrast to simulations, we find that human players dynamics do not converge to the efficient outcome more often in the cliquish network than in the random network. Subjects do not use pure myopic best-reply as an individual update rule. Numerical simulations agree with laboratory results once we implement the actual individual updating rule that human subjects use in our laboratory experiments.

Contribution of neural networks to Alzheimer disease's progression.

The neuropathology of Alzheimer disease is characterized by senile plaques, neurofibrillary tangles and cell death. These hallmarks develop according to the differential vulnerability of brain networks, senile plaques accumulating preferentially in the associative cortical areas and neurofibrillary tangles in the entorhinal cortex and the hippocampus. We suggest that the main aetiological hypotheses such as the beta-amyloid cascade hypothesis or its variant, the synaptic beta-amyloid hypothesis, will have to consider neural networks not just as targets of degenerative processes but also as contributors of the disease's progression and of its phenotype. Three domains of research are highlighted in this review. First, the cerebral reserve and the redundancy of the network's elements are related to brain vulnerability. Indeed, an enriched environment appears to increase the cerebral reserve as well as the threshold of disease's onset. Second, disease's progression and memory performance cannot be explained by synaptic or neuronal loss only, but also by the presence of compensatory mechanisms, such as synaptic scaling, at the microcircuit level. Third, some phenotypes of Alzheimer disease, such as hallucinations, appear to be related to progressive dysfunction of neural networks as a result, for instance, of a decreased signal to noise ratio, involving a diminished activity of the cholinergic system. Overall, converging results from studies of biological as well as artificial neural networks lead to the conclusion that changes in neural networks contribute strongly to Alzheimer disease's progression.

Local optima networks of hard combinatorial landscapes

Combinatorial optimization involves finding an optimal solution in a finite set of options; many everyday life problems are of this kind. However, the number of options grows exponentially with the size of the problem, such that an exhaustive search for the best solution is practically infeasible beyond a certain problem size. When efficient algorithms are not available, a practical approach to obtain an approximate solution to the problem at hand, is to start with an educated guess and gradually refine it until we have a good-enough solution. Roughly speaking, this is how local search heuristics work. These stochastic algorithms navigate the problem search space by iteratively turning the current solution into new candidate solutions, guiding the search towards better solutions. The search performance, therefore, depends on structural aspects of the search space, which in turn depend on the move operator being used to modify solutions. A common way to characterize the search space of a problem is through the study of its fitness landscape, a mathematical object comprising the space of all possible solutions, their value with respect to the optimization objective, and a relationship of neighborhood defined by the move operator. The landscape metaphor is used to explain the search dynamics as a sort of potential function. The concept is indeed similar to that of potential energy surfaces in physical chemistry. Borrowing ideas from that field, we propose to extend to combinatorial landscapes the notion of the inherent network formed by energy minima in energy landscapes. In our case, energy minima are the local optima of the combinatorial problem, and we explore several definitions for the network edges. At first, we perform an exhaustive sampling of local optima basins of attraction, and define weighted transitions between basins by accounting for all the possible ways of crossing the basins frontier via one random move. Then, we reduce the computational burden by only counting the chances of escaping a given basin via random kick moves that start at the local optimum. Finally, we approximate network edges from the search trajectory of simple search heuristics, mining the frequency and inter-arrival time with which the heuristic visits local optima. Through these methodologies, we build a weighted directed graph that provides a synthetic view of the whole landscape, and that we can characterize using the tools of complex networks science. We argue that the network characterization can advance our understanding of the structural and dynamical properties of hard combinatorial landscapes. We apply our approach to prototypical problems such as the Quadratic Assignment Problem, the NK model of rugged landscapes, and the Permutation Flow-shop Scheduling Problem. We show that some network metrics can differentiate problem classes, correlate with problem non-linearity, and predict problem hardness as measured from the performances of trajectory-based local search heuristics.

Implicit methods for qualitative modeling of gene regulatory networks.

Advancements in high-throughput technologies to measure increasingly complex biological phenomena at the genomic level are rapidly changing the face of biological research from the single-gene single-protein experimental approach to studying the behavior of a gene in the context of the entire genome (and proteome). This shift in research methodologies has resulted in a new field of network biology that deals with modeling cellular behavior in terms of network structures such as signaling pathways and gene regulatory networks. In these networks, different biological entities such as genes, proteins, and metabolites interact with each other, giving rise to a dynamical system. Even though there exists a mature field of dynamical systems theory to model such network structures, some technical challenges are unique to biology such as the inability to measure precise kinetic information on gene-gene or gene-protein interactions and the need to model increasingly large networks comprising thousands of nodes. These challenges have renewed interest in developing new computational techniques for modeling complex biological systems. This chapter presents a modeling framework based on Boolean algebra and finite-state machines that are reminiscent of the approach used for digital circuit synthesis and simulation in the field of very-large-scale integration (VLSI). The proposed formalism enables a common mathematical framework to develop computational techniques for modeling different aspects of the regulatory networks such as steady-state behavior, stochasticity, and gene perturbation experiments.

Local adaptation and life history traits evolution in heterogeneous environment : an empirical example in the freshwater snail, Galba truncatula

Abstract: To understand the processes of evolution, biologists are interested in the ability of a population to respond to natural or artificial selection. The amount of genetic variation is often viewed as the main factor allowing a species to answer to selection. Many theories have thus focused on the maintenance of genetic variability. Ecologists and population geneticists have long-suspected that the structure of the environment is connected to the maintenance of diversity. Theorists have shown that diversity can be permanently and stably maintained in temporal and spatial varying environment in certain conditions. Moreover, varying environments have been also theoretically demonstrated to cause the evolution of divergent life history strategies in the different niches constituting the environment. Although there is a huge number of theoretical studies selection and on life history evolution in heterogeneous environments, there is a clear lack of empirical studies. The purpose of this thesis was to. empirically study the evolutionary consequences of a heterogeneous environment in a freshwater snail Galba truncatula. Indeed, G. truncatula lives in two habitat types according the water availability. First, it can be found in streams or ponds which never completely dry out: a permanent habitat. Second, G. truncatula can be found in pools that freeze during winter and dry during summer: a temporary habitat. Using a common garden approach, we empirically demonstrated local adaptation of G. truncatula to temporary and permanent habitats. We used at first a comparison of molecular (FST) vs. quantitative (QST) genetic differentiation between temporary and permanent habitats. To confirm the pattern QST> FST between habitats suggesting local adaptation, we then tested the desiccation resistance of individuals from temporary and permanent habitats. This study confirmed that drought resistance seemed to be the main factor selected between habitats, and life history traits linked to the desiccation resistance were thus found divergent between habitats. However, despite this evidence of selection acting on mean values of traits between habitats, drift was suggested to be the main factor responsible of variation in variances-covariances between populations. At last, we found life history traits variation of individuals in a heterogeneous environment varying in parasite prevalence. This thesis empirically demonstrated the importance of heterogeneous environments in local adaptation and life history evolution and suggested that more experimental studies are needed to investigate this topic. Résumé: Les biologistes se sont depuis toujours intéressés en l'aptitude d'une population à répondre à la sélection naturelle. Cette réponse dépend de la quantité de variabilité génétique présente dans cette population. Plus particulièrement, les théoriciens se sont penchés sur la question du maintient de la variabilité génétique au sein d'environnements hétérogènes. Ils ont alors démontré que, sous certaines conditions, la diversité génétique peut se maintenir de manière stable et permanente dans des environnements variant au niveau spatial et temporel. De plus, ces environments variables ont été démontrés comme responsable de divergence de traits d'histoire de vie au sein des différentes niches constituant l'environnement. Cependant, malgré ce nombre important d'études théoriques portant sur la sélection et l'évolution des traits d'histoire de vie en environnement hétérogène, les études empiriques sont plus rares. Le but de cette thèse était donc d'étudier les conséquences évolutives d'un environnement hétérogène chez un esgarcot d'eau douce Galba truncatula. En effet, G. truncatula est trouvé dans deux types d'habitats qui diffèrent par leur niveau d'eau. Le premier, l'habitat temporaire, est constitué de flaques d'eau qui peuvent s'assécher pendant l'été et geler pendant l'hiver. Le second, l'habitat permanent, correspond à des marres ou à des ruisseaux qui ont un niveau d'eau constant durant toute l'année. Utilisant une approche expérimentale de type "jardin commun", nous avons démontré l'adaptation locale des individus à leur type d'habitat, permanent ou temporaire. Nous avons utilisé l'approche Fsr/QsT qui compare la différentiation génétique moléculaire avec la différentiation génétique quantitative entre les 2 habitats. Le phénomène d'adapation locale démontré par QsT > FsT, a été testé experimentalement en mesurant la résistance à la dessiccation d'individus d'habitat temporaire et permanent. Cette étude confirma que la résistance à la sécheresse a été sélectionné entre habitats et que les traits responsables de cette resistance sont différents entre habitats. Cependant si la sélection agit sur la valeur moyenne des traits entre habitats, la dérive génétique semble être le responsable majeur de la différence de variances-covariances entre populations. Pour finir, une variation de traits d'histoire de vie a été trouvée au sein d'un environnement hétérogène constitué de populations variants au niveau de leur taux de parasitisme. Pour conclure, cette thèse a donc démontré l'importance d'un environnement hétérogène sur l'adaptation locale et l'évolution des traits d'histoire de vie et suggère que plus d'études empiriques sur le sujet sont nécessaires.

Interacting populations in heterogeneous environments

To optimally manage a metapopulation, managers and conservation biologists can favor a type of habitat spatial distribution (e.g. aggregated or random). However, the spatial distribution that provides the highest habitat occupancy remains ambiguous and numerous contradictory results exist. Habitat occupancy depends on the balance between local extinction and colonization. Thus, the issue becomes even more puzzling when various forms of relationships - positive or negative co-variation - between local extinction and colonization rate within habitat types exist. Using an analytical model we demonstrate first that the habitat occupancy of a metapopulation is significantly affected by the presence of habitat types that display different extinction-colonization dynamics, considering: (i) variation in extinction or colonization rate and (ii) positive and negative co-variation between the two processes within habitat types. We consequently examine, with a spatially explicit stochastic simulation model, how different degrees of habitat aggregation affect occupancy predictions under similar scenarios. An aggregated distribution of habitat types provides the highest habitat occupancy when local extinction risk is spatially heterogeneous and high in some places, while a random distribution of habitat provides the highest habitat occupancy when colonization rates are high. Because spatial variability in local extinction rates always favors aggregation of habitats, we only need to know about spatial variability in colonization rates to determine whether aggregating habitat types increases, or not, metapopulation occupancy. From a comparison of the results obtained with the analytical and with the spatial-explicit stochastic simulation model we determine the conditions under which a simple metapopulation model closely matches the results of a more complex spatial simulation model with explicit heterogeneity.

Immunological mechanisms underlying infectious and chronic lung diseases

Le système respiratoire permet l'échange de gaz entre un organisme et son environnement. Pour fonctionner efficacement, il doit lutter contre les infections tout en maintenant une tolérance aux particules inoffensives. Les cytokines sont des petites protéines qui permettent la communication entre les différentes cellules et jouent un rôle important dans la régulation de l'homéostasie et de l'immunité des surfaces pulmonaires. Une production altérée des cytokines sous-tend beaucoup de maladies du système pulmonaire. Ainsi, la compréhension de la biologie fondamentale des cytokines pourrait contribuer à la mise au point de nouveaux traitements. Dans le cadre de cette thèse, nous avons étudié le rôle de deux cytokines, le TSLP (Thymic stromal lymphopoietin) et l'IL-17 (Interleukin 17) dans les réponses immunitaires bénéfiques et nuisibles en utilisant des modèles précliniques de souris des maladies pulmonaires. L'asthme est une maladie qui est caractérisée par la bronchoconstriction réversible, l'inflammation des voies respiratoires inférieures, l'hyperréactivité bronchique et le remodelage tissulaire. Le type d'inflammation affectant les voies respiratoires et la présence ou non d'allergie permettent d'établir les différents types d'asthme. La TSLP est une cytokine qui est principalement exprimée à des niveaux élevés dans les poumons de patients souffrant d'asthme allergique. En conséquence, la majeure partie de la recherche sur la TSLP a mis l'accent sur le rôle joué par celle- ci dans les réponses négatives conduisant au développement de l'asthme allergique. Dans cette thèse, nous montrons que la TSLP joue aussi un rôle bénéfique dans les réponses immunitaires pulmonaires. Nous avons découvert que la TSLP atténue la grippe en augmentant les réponses des lymphocytes T cytotoxiques contre le virus. Nous avons également étudié la fonction de la TSLP dans l'asthme non allergique. Contrairement à l'asthme allergique, nous avons constaté que la TSLP diminue les réponses inflammatoires dans l'asthme non allergique en réglant la production de l'IL-17, une cytokine qui favorise la maladie. Ainsi, nous démontrons les fonctions pleiotropes de la TSLP dans des contextes spécifiques de la maladie. Nos résultats ont des implications importantes pour le développement de thérapies ciblant la TSLP dans l'asthme. Dans la deuxième partie de la thèse, nous avons étudié les mécanismes pathogéniques qui sous-tendent le développement de la broncho-pneumopathie chronique obstructive (BPCO). La BPCO est une maladie chronique le plus largement associée aux fumeurs. Elle est caractérisée par une limitation progressive et irréversible du débit d'air et la destruction de la structure des poumons. L'augmentation globale de l'incidence de la maladie encourage grandement la compréhension des mécanismes pathogéniques et l'identification de nouvelles cibles thérapeutiques. Nous avons découvert que les micro-organismes trouvés dans les voies respiratoires aggravent la maladie en augmentant la production de l'IL-17. L'IL-17 est une cytokine inflammatoire qui est impliquée dans plusieurs maladies pulmonaires chroniques, dont la BPCO. Dans notre modèle animal de la maladie, nous avons neutralisé 1ÌL-17A en utilisant un anticorps spécifique et observé une reprise de la fonction pulmonaire. Dans cette étude, nous avons identifié 2 axes potentiels pour l'intervention thérapeutique contre la BPCO. Cibler les bactéries dans les voies respiratoires soit par l'utilisation d'antibiotiques ou l'utilisation de thérapies à base immunitaire qui antagonisent l'activité spécifiques de l'IL-17. Dans l'avenir, notre laboratoire va collaborer avec des cliniciens pour acquérir des échantillons humains et tester la pertinence de nos résultats dans la maladie humaine. -- L'interaction avec l'environnement extérieur est vitale pour le fonctionnement du système respiratoire. Par conséquent, ce dernier a adopté une multitude de réseaux effecteurs et régulateurs qui permettent de distinguer les particules inhalées comme «dangereuses» ou «inoffensives» et de réagir en conséquence. L'équilibre entre ces réseaux est essentielle pour lutter contre le «danger» déclenché par une infection ou des dommages, et finalement pour le retour à l'homéostasie. Le milieu de cytokine local contribue de manière significative à la mise au point de ces réponses. Ainsi, la caractérisation du rôle des cytokines dans l'état d'équilibre et la maladie a des implications claires pour les interventions thérapeutiques dans les maladies respiratoires aiguës et chroniques. Cette thèse a porté sur le rôle des cytokines, la lymphopoïétine stromale thymique (TSLP) et TIL-17A dans l'élaboration de réponses immunitaires pulmonaires. La TSLP est principalement produite par les cellules épithéliales et peut cibler une myriade de cellules immunitaires. Bien qu'elle ait été montrée être un puissant inducteur des réponses de type Th2, son rôle dans d'autres contextes inflammatoires est relativement inexploré. Dans le premier projet de cette thèse, nous avons découvert une nouvelle fonction de la TSLP dans l'immunité antivirale contre la grippe, une infection virale. Nous avons constaté que la TSLP a réglementé la réponse neutrophile au début de l'infection, en amplifiant l'immunité adaptative spécifique du virus. Mécaniquement, la TSLP a augmenté l'expression de l'IL-15 et du CD70 sur les cellules dendritiques recrutées dans les poumons suite à l'infection et a renforcé leur capacité de stimuler localement les lymphocytes T CD8+ spécifiques du virus. En outre, nous avons étudié la TSLP dans le cadre de divers phénotypes de l'asthme et également démontré l'impact pléiotropique qu'elle a sur les réponses immunitaires pulmonaires. En accord avec les rapports précédents, nous avons constaté que la TSLP a exacerbé l'inflammation atopique médiée par le Th2. En revanche la TSLP a réduit les réponses de l'IL-17A et l'inflammation neutrophile subséquente dans le modèle non atopique, ainsi que l'exacerbation du modèle atopique provoqué par une infection virale. Nos résultats démontrent une dichotomie dans le rôle de la TSLP dans la pathogenèse de l'asthme et soulignent la nécessité d'envisager plusieurs phénotypes d'asthme pour une évaluation approfondie de son potentiel thérapeutique dans cette maladie. Dans la seconde partie de cette thèse, nous avons caractérisé les mécanismes pathogènes qui sous-tendent la broncho-pneumopathie chronique obstructive (BPCO). La BPCO est une maladie hétérogène définie par une diminution progressive de la fonction pulmonaire. Bien que des déclencheurs environnementaux puissent aggraver la maladie, chez les personnes sensibles une maladie établie peut progresser à travers un cercle inflammatoire auto-entretenu. Nous avons cherché à définir les mécanismes sous-jacents à l'aide d'un modèle murin d'inflammation chronique, qui reproduit les caractéristiques pathologiques de la maladie humaine. Puisqu'ont été associés à la BPCO sévère des changements dans le microbiome des voies respiratoires, nous avons supposé que les signaux dérivés de certains microbes pourraient favoriser des voies inflammatoires chroniques de progression de la maladie. Nous avons observé que, en l'absence d un microbiome, la maladie s'est améliorée tel que démontré par une réduction de l'inflammation des voies respiratoires et une amélioration de la fonction pulmonaire. Cela a été lié spécifiquement à une production réduite d'IL-17A, une cytokine qui a été impliquée dans la maladie humaine. De plus la cinétique de production de 1IL- 17A dépendant du microbiote est corrélé à la sévérité de la maladie. Sur la base de ces données, la neutralisation de l'IL-17A a également eu un effet bénéfique sur l'évolution de la maladie. Le rôle significatif de 1TL-17A dans l'aggravation de la maladie a été couplé à sa capacité à engager un dialogue entre les voies inflammatoires innées et adaptatives. Il a influencé le recrutement et le phénotype des neutrophiles et des macrophages, ce qui a eu un impact direct et indirect sur la formation et la fonction des tissus lymphoïdes tertiaires associée à des stades sévères de la maladie. -- The interaction with the external environment is vital for the functioning of the respiratory system. Consequently, it has adopted a multitude of effector and regulatory networks that enable it to distinguish inhaled particles as 'dangerous' or 'innocuous' and respond accordingly. The balance between these networks is crucial to counteract the 'danger' triggered by infection or damage, and ultimately return to homeostasis. The local cytokine milieu contributes significantly to the fine- tuning of these responses. Thus, characterizing the role of cytokines in steady state and disease has clear implications for therapeutic interventions in acute and chronic respiratory disorders. This thesis focused on the role of the cytokines, thymic stromal lymphopoietin (TSLP) and IL-17A in shaping pulmonary immune responses. TSLP is primarily produced by barrier epithelial cells and can target a myriad of immune cells. Although it has been shown to be potent inducer of Th2 type responses, its role in other inflammatory settings is relatively unexplored. In the first project of this thesis, we discovered a novel function of TSLP in antiviral immunity to Influenza A infection. We found that while TSLP regulated the early neutrophilic response to infection, it amplified virus specific adaptive immunity. Mechanistically, TSLP enhanced the expression of IL-15 and CD70 on the lung recruited inflammatory dendritic cells and strengthened their ability to stimulate virus specific CD8+ T cell responses locally. In addition we investigated TSLP in the context of diverse asthma phenotypes and further demonstrated the pleiotropic impact it has on pulmonary immune responses. In concurrence with previous reports we found that TSLP exacerbated Th2 mediated atopic inflammation. In contrast TSLP curtailed IL-17A responses and subsequent neutrophilic inflammation in the non-atopic model as well as virus induced exacerbation of the atopic model. Our findings demonstrate a dichotomy in the role of TSLP in asthma pathogenesis and emphasize the need to consider multiple asthma phenotypes for a thorough evaluation of its therapeutic potential in this disease. In the next part of this thesis we characterized the pathogenic mechanisms underlying chronic obstructive pulmonary disease. COPD is a heterogeneous disease defined by a progressive decline in lung function. Although environmental triggers exacerbate the disease, in susceptible individuals the established disease can progress through a self-sustained inflammatory circle. We sought to delineate the underlying mechanisms by using a murine model of chronic inflammation, which reproduced key pathological features of the human disease. As changes in the airway microbiome have been linked to severe COPD, we speculated that microbial derived signals could facilitate the establishment of chronic inflammatory pathways that favour disease progression. We found that the absence of a microbiota ameliorated disease, exhibited by a reduction in airway inflammation and an improvement in lung function. This was linked specifically to an impaired production of IL-17A, a cytokine that has been implicated in human disease. Moreover the kinetics of microbiota-dependent IL-17A production correlated with the disease severity. Based on these data targeted neutralization of IL-17A also had a beneficiai effect on the disease outcome. The prominent role played by IL-I7A in driving the disease was coupled to its ability in engaging and mediating cross talk between pathogenic innate and adaptive immune pathways. It influenced the recruitment and phenotype of neutrophils and macrophages, as well as impacted upon the formation and function of tertiary lymphoid tissue associated with severe disease. Thus, temporal and spatial changes in cytokine production, their cellular targets and interaction with the local milieu determine the balance between immunity and pathology in the lung. Collectively our findings provide novel mechanistic insights in the complex role played by cytokines in orchestrating pulmonary immune responses and have clear implications for human disease.

Probing functional groups at the gas-aerosol interface using heterogeneous titration reactions: a tool for predicting aerosol health effects?

The complex chemical and physical nature of combustion and secondary organic aerosols (SOAs) in general precludes the complete characterization of both bulk and interfacial components. The bulk composition reveals the history of the growth process and therefore the source region, whereas the interface controls--to a large extent--the interaction with gases, biological membranes, and solid supports. We summarize the development of a soft interrogation technique, using heterogeneous chemistry, for the interfacial functional groups of selected probe gases [N(CH(3))(3), NH(2)OH, CF(3)COOH, HCl, O(3), NO(2)] of different reactivity. The technique reveals the identity and density of surface functional groups. Examples include acidic and basic sites, olefinic and polycyclic aromatic hydrocarbon (PAH) sites, and partially and completely oxidized surface sites. We report on the surface composition and oxidation states of laboratory-generated aerosols and of aerosols sampled in several bus depots. In the latter case, the biomarker 8-hydroxy-2'-deoxyguanosine, signaling oxidative stress caused by aerosol exposure, was isolated. The increase in biomarker levels over a working day is correlated with the surface density N(i)(O3) of olefinic and/or PAH sites obtained from O(3) uptakes as well as with the initial uptake coefficient, γ(0), of five probe gases used in the field. This correlation with γ(0) suggests the idea of competing pathways occurring at the interface of the aerosol particles between the generation of reactive oxygen species (ROS) responsible for oxidative stress and cellular antioxidants.

Multimodal MRI analysis of structural and functional networks in the human brain : application to two clinical studies : driving abilities under THC intoxication and early white matter changes in FXTAS

Les approches multimodales dans l'imagerie cérébrale non invasive sont de plus en plus considérées comme un outil indispensable pour la compréhension des différents aspects de la structure et de la fonction cérébrale. Grâce aux progrès des techniques d'acquisition des images de Resonance Magnetique et aux nouveaux outils pour le traitement des données, il est désormais possible de mesurer plusieurs paramètres sensibles aux différentes caractéristiques des tissues cérébraux. Ces progrès permettent, par exemple, d'étudier les substrats anatomiques qui sont à la base des processus cognitifs ou de discerner au niveau purement structurel les phénomènes dégénératifs et développementaux. Cette thèse met en évidence l'importance de l'utilisation d'une approche multimodale pour étudier les différents aspects de la dynamique cérébrale grâce à l'application de cette approche à deux études cliniques: l'évaluation structurelle et fonctionnelle des effets aigus du cannabis fumé chez des consommateurs réguliers et occasionnels, et l'évaluation de l'intégrité de la substance grise et blanche chez des jeunes porteurs de la prémutations du gène FMR1 à risque de développer le FXTAS (Fragile-X Tremor Ataxia Syndrome). Nous avons montré que chez les fumeurs occasionnels de cannabis, même à faible concentration du principal composant psychoactif (THC) dans le sang, la performance lors d'une tâche visuo-motrice est fortement diminuée, et qu'il y a des changements dans l'activité des trois réseaux cérébraux impliqués dans les processus cognitifs: le réseau de saillance, le réseau du contrôle exécutif, et le réseau actif par défaut (Default Mode). Les sujets ne sont pas en mesure de saisir les saillances dans l'environnement et de focaliser leur attention sur la tâche. L'augmentation de la réponse hémodynamique dans le cortex cingulaire antérieur suggère une augmentation de l'activité introspective. Une investigation des ef¬fets au niveau cérébral d'une exposition prolongée au cannabis, montre des changements persistants de la substance grise dans les régions associées à la mémoire et au traitement des émotions. Le niveau d'atrophie dans ces structures corrèle avec la consommation de cannabis au cours des trois mois précédant l'étude. Dans la deuxième étude, nous démontrons des altérations structurelles des décennies avant l'apparition du syndrome FXTAS chez des sujets jeunes, asymptomatiques, et porteurs de la prémutation du gène FMR1. Les modifications trouvées peuvent être liées à deux mécanismes différents. Les altérations dans le réseau moteur du cervelet et dans la fimbria de l'hippocampe, suggèrent un effet développemental de la prémutation. Elles incluent aussi une atrophie de la substance grise du lobule VI du cervelet et l'altération des propriétés tissulaires de la substance blanche des projections afférentes correspondantes aux pédoncules cérébelleux moyens. Les lésions diffuses de la substance blanche cérébrale peu¬vent être un marquer précoce du développement de la maladie, car elles sont liées à un phénomène dégénératif qui précède l'apparition des symptômes du FXTAS. - Multimodal brain imaging is becoming a leading tool for understanding different aspects of brain structure and function. Thanks to the advances in Magnetic Resonance imaging (MRI) acquisition schemes and data processing techniques, it is now possible to measure different parameters sensitive to different tissue characteristics. This allows for example to investigate anatomical substrates underlying cognitive processing, or to disentangle, at a pure structural level degeneration and developmental processes. This thesis highlights the importance of using a multimodal approach for investigating different aspects of brain dynamics by applying this approach to two clinical studies: functional and structural assessment of the acute effects of cannabis smoking in regular and occasional users, and grey and white matter assessment in young FMR1 premutation carriers at risk of developing FXTAS. We demonstrate that in occasional smokers cannabis smoking, even at low concentration of the main psychoactive component (THC) in the blood, strongly decrease subjects' performance on a visuo-motor tracking task, and globally alters the activity of the three brain networks involved in cognitive processing: the Salience, the Control Executive, and the Default Mode networks. Subjects are unable to capture saliences in the environment and to orient attention to the task; the increase in Hemodynamic Response in the Anterior Cingulate Cortex suggests an increase in self-oriented mental activity. A further investigation on long term exposure to cannabis, shows a persistent grey matter modification in brain regions associated with memory and affective processing. The degree of atrophy in these structures also correlates with the estimation of drug use in the three months prior the participation to the study. In the second study we demonstrate structural changes in young asymptomatic premutation carriers decades before the onset of FXTAS that might be related to two different mechanisms. Alteration of the cerebellar motor network and of the hippocampal fimbria/ fornix, may reflect a potential neurodevelopmental effect of the premutation. These include grey matter atrophy in lobule VI and modification of white matter tissue property in the corresponding afferent projections through the Middle Cerebellar Peduncles. Diffuse hemispheric white matter lesions that seem to appear closer to the onset of FXTAS and be related to a neurodegenerative phenomenon may mark the imminent onset of FXTAS.

Development of fluid conduits in the auriferous shear zones of the Hutti Gold Mine, India: evidence for spatially and temporally heterogeneous fluid flow

The gold mineralization of the Hutti Mine is hosted by nine parallel, N - S trending, steeply dipping, 2 - 10 m wide shear zones, that transect Archaean amphibolites. The shear zones were formed after peak metamorphism during retrograde ductile D, shearing in the lower amphibolite facies. They were reactivated in the lower to mid greenschist facies by brittle-ductile D-3 shearing and intense quartz veining. The development of a S-2-S-3 crenulation cleavage facilitates the discrimination between the two deformation events and contemporaneous alteration and gold mineralization. Ductile D, shearing is associated with a pervasively developed distal chlorite - sed cite alteration assemblage in the outer parts of the shear zones and the proximal biotite-plagioclase alteration in the center of the shear zones. D3 is characterized by development of the inner chlorite-K-feldspar alteration, which forms a centimeter-scale alteration halo surrounding the laminated quartz veins and replaces earlier biotite along S-3. The average size of the laminated vein systems is 30-50 m along strike as well as down-dip and 2-6 m in width. Mass balance calculations suggest strong metasomatic changes for the proximal biotite-plagioclase alteration yielding mass and volume increase of ca. 16% and 12%, respectively. The calculated mass and volume changes of the distal chlorite-sericite alteration (ca. 11%, ca. 8%) are lower. The decrease in 6180 values of the whole rock from around 7.5 parts per thousand for the host rocks to 6-7 parts per thousand for the distal chlorite-sericite and the proximal biotite-plagioclase alteration and around 5 parts per thousand for the inner chlorite-K-feldspar alteration suggests hydrothermal alteration during two-stage deformation and fluid flow. The ductile D-2 deformation in the lower amphibolite facies has provided grain scale porosities by microfracturing. The pervasive, steady-state fluid flow resulted in a disseminated style of gold-sulfide mineralization and a penetrative alteration of the host rocks. Alternating ductile and brittle D3 deformation during lower to mid greenschist facies conditions followed the fault-valve process. Ductile creep in the shear zones resulted in a low permeability environment leading to fluid pressure build-up. Strongly episodic fluid advection and mass transfer was controlled by repeated seismic fracturing during the formation of laminated quartz(-gold) veins. The limitation of quartz veins to the extent of earlier shear zones indicate the importance of preexisting anisotropies for fault-valve action and economic gold mineralization. (C) 2003 Elsevier B.V. All rights reserved.