The primary aim of the present study was to evaluate whether intra-individual variability in inhibition-related neural activation in response to sleep restriction is associated with eating behavior in adolescents aged 12-18 years. In addition, the potential moderating effects of sex and body mass index on the association between sleep and variability in neural activation were examined. This study employed a within-subjects crossover design that randomized subjects to both a 5 hours per night (sleep restricted) and 9 hours per night (well-rested) sleep condition for 5 nights, with experimental conditions separated by four weeks. On the 6th day of each study phase participants completed a 24-hour diet recall and a food-related inhibitory go/no-go task while undergoing functional magnetic resonance imaging. Repeated measures multilevel models examined individual differences attributable to sleep duration and a series of separate multivariate analysis of variance models examined the effect that vulnerability to sleep restriction has on eating behavior as well as the moderating impact of sex and weight status. Findings suggest that adolescents who exhibited greater efficiency in inhibitory and reward-related neural activation when sleep restricted demonstrated less pronounced decrements in neural activation when sleep restricted relative to when they were well-rested. These findings suggest that the effect of sleep restriction on inhibitory control may differ between individuals such that there are individuals who appear able to sustain inhibitory control comparable to when they are well-rested while other individuals show marked declines in executive functioning-related neural activation when sleep restricted. Results from separate exploratory models including regions of interest associated with reward valuation and across the whole brain were consistent with these findings. We also found that the effect of vulnerability to sleep restriction on inhibitory efficiency in the right inferior parietal lobule (R - IPL) and right middle frontal gyrus (R - MFG) differed by sex and was predictive of differences in overall eating behavior and sugar intake, respectively, when sleep restricted compared to well-rested. In addition, vulnerability in the inhibitory network was predictive of differences in individual eating behavior (i.e., total calories, added sugar, sugar, and total fat) for males and females across conditions. This finding demonstrates there is significant variability in the impact that sleep restriction has on inhibitory efficiency in adolescence relative to when they are well-rested, and vulnerability to inhibitory efficiency appears to effect male and female adolescent's dietary behaviors differently when they obtain insufficient sleep. Vulnerability to inhibitory efficiency when sleep restricted compared to well-rested may cause males and females to consume more energy dense foods when they obtain insufficient sleep and also differs for males and females irrespective of their sleep duration. Given the pervasiveness of chronic sleep restriction in adolescence, males who are unable to counter the effect that insufficient sleep has on palatable foods may be at greatest risk of obesity.

Functional response is the framework thorough which we can quantify how predator hunting behaviors such as rate of successful attack and time spent handling prey interact with prey density to determine the rate at which prey are killed. Cheetahs are mesopredators and their behavior can be shaped by the need to avoid larger predators while hunting relatively large bodied and mobile prey. I used data from 34 years of observed cheetah hunts in Serengeti National Park in Tanzania to investigate how reproductive condition, prey density, seasonality, and the proximity of larger predators affect cheetah kill rates, probability of successful attack, and time spent handling prey. Mothers with cubs had an asymptotic Type II functional response where kill rate increased but eventually leveled-off at high prey densities, while cheetahs without cubs had a dome shaped Type IV functional response where kill rates actually declined at high prey density. Probability of successful attack on prey was higher for mothers with cubs, and increased slightly with prey density. Mothers with cubs had different prey handling behavior than other cheetahs. Cheetah mothers spend longer at kills then other cheetahs despite the risk that the carcass can attract lions and hyenas that could steal the carcass and potentially kill her cubs. Mothers must make sure their cubs have sufficient time at the carcass to eat their fill, thus they minimize risk from larger predators by being vigilant. In contrast, cheetahs without cubs are unconcerned with cub predation and can eat quickly to minimize the risk of kleptoparasitism. My results show how the pressures of cub rearing and coexisting with larger carnivores differentially shape the hunting behavior of cheetahs, and suggest that intensity of mesopredator suppression may depend on individual variability. This is the first time the functional response for a large mesopredator, has been quantified and the first time a dome shaped response has been recorded in a mammal. My work shows the value in accounting for individual variability in functional response and how linking of carnivore hunting behavior to multiple species interactions advances our understanding of how classical ecological theory applies to wild ecosystems. / Ph. D.

No description available.

The performance of most tasks requires some interaction between the cerebral hemispheres. Despite this fact, research has focused on demonstrating that each hemisphere is specialised for certain processes and has largely neglected this interaction. ¶ Recent research has recognised the need for a better understanding of how resources are shared between the cerebral hemispheres. While these studies have shed light on factors external to the participants being tested, such as the type of task and stimuli used, presentation times, and different measurement methods, they have neglected variables that differ between individuals. The studies reported here focused on factors internal to the participants. They include sex, age, handedness, functional lateralisation, practice, attention, and hemispheric activation, which vary between individuals or within individuals across time, and have been shown to influence the structure and morphology of the corpus callosum which is the main pathway for hemispheric interactions. ¶ This thesis examines the relationship of these variables to the efficiency of hemispheric interactions. ¶ A literature review of the factors affecting hemispheric interactions and interhemispheric transfer is presented in Chapter 1, and methodological issues relating to the measurement of these variables in Chapter 2. Based upon this research, two tasks, the Poffenberger paradigm and a letter-matching task, were selected to assess interhemispheric transfer time and hemispheric interactions, respectively, and to investigate the relationship between these two variables. ¶ Chapters 3 and 4 present the findings of the principal study, using a large sample of participants and regression analysis, which demonstrate that both faster interhemispheric transfer and more extreme left-handedness are associated with greater efficiency of hemispheric interaction. Surprisingly, other factors which were expected to influence hemispheric interactions (age, sex, functional lateralisation, and attention) did not have a significant effect on this variable. ¶ A strong practice effect found in the task used in Chapters 3 and 4 is analysed in Chapter 5. Contrary to previous findings, this practice effect seems not to be due to a shift from sequential, rule-based processing to memory-retrieval, but rather, is a more general practice effect consistent with progressively more efficient use of neural resources. ¶ Chapter 6 shows that individuals with dyslexia not only demonstrate an abnormally fast interhemispheric transfer, but also attentional deficits, due probably to decreased efficiency in hemispheric interactions. Because some clinical populations, such as individuals with dyslexia, have been shown to have hemispheric interaction deficits, the study of such clinical samples can provide valuable information about the relationship between hemispheric interactions and other individual variables. ¶ In Chapter 7 it is demonstrated that both latent and induced patterns of lateralised hemispheric activation affect hemispheric interactions. This suggests that assessment of hemispheric activation is important not only in this field, but probably also more generally in neuropsychological research. These findings highlight the need for a simple, inexpensive measure of hemispheric activation that can be applied routinely in cognitive experiments. ¶ Chapter 8 presents a new technique to measure lateralised brain activation in typical psychological experiments using functional tympanic membrane thermometry (fTMT). This measure relies on the measurement of ear membrane temperature as an index of hemispheric activation. The technique is simple and inexpensive, and is shown to be suitable for the assessment of hemispheric activation patterns during typical experiments. ¶ In conclusion, individual characteristics such as the efficiency of interhemispheric transfer, handedness, functional lateralisation, attention, and hemispheric activation are important factors to consider when researching hemispheric interactions in both normal and clinical populations. Furthermore, future research will benefit from this newly developed measure, fTMT, by allowing the systematic study of the effects of hemispheric activation in brain processes.

Dans l’hémisphère Nord, les populations de grands herbivores ont connu ces dernières décennies des modifications environnementales majeures, liées d’une part à l’augmentation importante de leur densité, et d’autre part aux changements globaux qui affectent leur habitat (notamment réchauffement climatique, modification des activités humaines, et fragmentation de l’habitat). Mieux comprendre comment ces espèces vont adapter leurs stratégies d’histoire de vie pour répondre à ces modifications est une question majeure de l’écologie des populations, et une étape nécessaire pour pouvoir adapter leur gestion aux enjeux environnementaux et sociétaux actuels. C’est dans ce contexte que nous avons étudié quelles étaient les sources de variation des tactiques de survie et de reproduction chez trois espèces de grands herbivores de montagne (l’isard Rupicapra pyreneica, le chamois Rupicapra rupicapra, et le mouflon méditerranéen Ovis gmelini musimon × Ovis sp.). A partir de suivis longitudinaux par capture-marquage-recapture (CMR) nous nous sommes plus particulièrement focalisés sur le rôle de l’hétérogénéité individuelle latente, de la variabilité climatique et de la structuration spatiale sur les paramètres démographiques.Ce travail s’est appuyé sur l’utilisation de modèles de mélange et d’une combinaison innovante du robust-design et des modèles multi-événements pour analyser des données démographiques collectées à différentes échelles spatio-temporelles. L’hétérogénéité individuelle s’est avérée être une composante majeure de la démographie des 3 espèces étudiées, avec l’identification chez le mouflon et l’isard de femelles aux performances reproductives contrastées, et l’existence chez le chamois de différences de survie entre individus liées à la qualité de l‘habitat occupé. Ces modèles ont aussi permis de révéler une augmentation de l’investissement reproducteur en fin de vie chez les femelles de mouflon au détriment de leur survie et d’étudier chez les femelles d’isard les différentes phases de l’effort reproducteur, de la gestation au sevrage, pour mettre en évidence que seule la lactation a un coût sur la reproduction suivante. Nos résultats ont également mis en exergue le rôle prépondérant du climat hivernal et printanier sur les paramètres démographiques des 3 espèces, tout en confirmant que ces effets sont souvent spécifiques à la population et au site étudiés. Cette étude montre également que l’isard et le mouflon, bien que relativement comparables en termes de taille, de traits écologiques, et de position phylogénétique, adoptent des stratégies d’histoire de vie contrastées.Au final, nos résultats soulignent donc l’importance des études démographiques comparatives à plusieurs niveaux d’organisation (inter-espèces, inter-population, intra-population), pour mieux comprendre le devenir des espèces de grands herbivores face aux perturbations environnementales. / In Northern hemisphere, populations of large herbivores have to cope with major environmental modifications linked to the increase of their density and to global change which strongly impacts their habitat (climate change, modification of human activities and habitat fragmentation). Understanding how these species adjust their life history strategies in response to such modifications is central for population ecology and for management issues. In this context, this work aimed to identify the sources of variation of survival and reproductive tactics in 3 species of mountain ungulate (Pyrenean chamois Rupicapra pyreneica, Alpine chamois Rupicapra rupicapra, and Mediterranean mouflon Ovis gmelini musimon × Ovis sp.). Using capture-mark-recapture monitoring we specifically investigated the role of individual heterogeneity, climate change, and spatial heterogeneity in shaping vital rates.This work relied on mixture models and an innovative combination of robust-design into a multi-events framework to explore demographic data collected at different spatio-temporal scales. Fixed heterogeneity appeared as a major demographic component in the 3 studied species by highlighting in mouflon and Pyrenean chamois two groups of females with contrasted reproductive performance, and by providing evidence in chamois of among-females differences in survival rates linked to the quality of their habitat. These models allowed us to provide evidence for the terminal investment hypothesis in female mouflon and to decompose reproductive effort in females of Pyrenean chamois from gestation to weaning, to unveil that lactation only led to cost on subsequent reproduction. Our results also highlighted the major influence of winter and spring climatic conditions on demographic parameters in the 3 studied species, and confirmed the general trend that climate effects are often species- and site-specific. Our findings provided evidence that Pyrenean chamois and mouflon evolved contrasted life history strategies, although both species share strong similarities in terms of body mass, ecological traits and phylogenetic position.Finally, our work stresses the importance of conducting comparative demographic studies, based on longitudinal monitoring of marked individuals, at inter-specific, inter-population and within population levels, to better understand and predict the future of large herbivores populations in the current context of global changes.

In risk assessment of risk chemicals, variability in susceptibility in the population is an important aspect. The health hazard of a pollutant is related to the internal exposure to the chemical, i.e. the target dose, rather than the external exposure. The target dose may be calculated by physiologically based pharmacokinetic (PBPK) modeling. Furthermore, variability in target dose may be estimated by introducing variability in the physiological, anatomical, and biochemical parameters of the model. Data on these toxicokinetic model parameters may be found in the scientific literature. Since the early seventies, a large number of experimental inhalation studies of the kinetics of several volatiles in human volunteers have been performed at the National Institute for Working Life in Solna. To this day, only very limited analyses of these extensive data have been performed. A Bayesian analysis makes it possible to merge a priori knowledge from the literature with the information in experimental data. If combined with population PBPK modeling, the Bayesian approach may yield posterior estimates of the toxicokinetic parameters for each subject, as well as for the population. One way of producing these estimates is by so-called Markov-chain Monte Carlo (MCMC) simulation. The aim of the thesis was to apply the MCMC technique on previously published experimental data. Another objective was to assess the reliability of PBPK models in general by the combination of the extensive data and Bayesian population techniques. The population kinetics of methyl chloride, dichloromethane, toluene and styrene were assessed. The calibrated model for dichloromethane was used to predict cancer risk in a simulated Swedish population. In some cases, the respiratory uptake of volatiles was found to be lower than predicted from reference values on alveolar ventilation. The perfusion of fat tissue was found to be a complex process that needs special attention in PBPK modeling. These results provide a significant contribution to the field of PBPK modeling of risk chemicals. Appropriate statistical treatment of uncertainty and variability may increase confidence in model results and ultimately contribute to an improved scientific basis for the estimation of occupational health risks.

Affective intra-individual variability (IIV) and affective psychological flexibility (PF) are both types of within-person variability. Affective IIV is defined as the range of emotions experienced by an individual assessed at multiple time points. PF is defined as the ability to vary one’s responses in a contextually dependent manner in order to appropriately meet situational demands. Currently, there are no comparisons between affective IIV and PF demonstrating how these constructs might be uniquely different from each other. The current study proposed to examine affective IIV and PF in order to establish discriminant and convergent validity, and stability data for each construct. The National Study of Daily Experiences (NSDE) waves 1 and 2, an 8-day daily diary portion of the Midlife Development in the United States (MIDUS I) and MIDUS II surveys was used for this study (n =793 adults completed both waves of the NSDE). Affective IIV was related to higher mean NA and neuroticism, and lower perceived control. Affective PF was related to lower mean NA, neuroticism, and higher mean PA and perceived control. Higher affective IIV was associated with more psychological distress when assessed concurrently at both waves and predicted more psychological distress and physical ill-health 10 years later. Higher affective PF was related to less psychological distress and physical ill-health when assessed concurrently at wave 1 and less psychological distress and physical ill-health 10 years later. When situational context is included in the calculation of emotional variability, changes in emotional response may represent emotional complexity and increased control rather than emotional lability and are related to better psychological and physical outcomes.

L’objectif de cette thèse était de caractériser les relations entre tempérament et performances cognitives chez le cheval et leur modulation par le stress. Le tempérament était évalué selon cinq dimensions: la peur, la réactivité à l’Homme, la grégarité, la sensibilité tactile et l’activité locomotrice. Les relations entre ces dimensions et les performances lors de tâches instrumentales et de mémoire de travail ont été recherchées. La dimension de peur semble particulièrement essentielle et son influence dépend du stress : elle aurait un effet positif sur les performances cognitives en cas de stress intrinsèque, c’est-à-dire lorsque la tâche est elle-même source de stress, et un effet négatif en cas de stress extrinsèque. En l’absence de facteur de stress, ces relations sont plus contrastées. Dans une moindre mesure, des relations entre performances cognitives et les autres dimensions de tempérament ont été observées. L’activité locomotrice a une influence positive sur les performances qui ne ressort qu’en présence de facteurs de stress, qu’ils soient extrinsèques ou intrinsèques. Ce travail de thèse permet de contribuer à la caractérisation des liens entre tempérament et cognition, qui est un champ d’étude en pleine expansion, et met en évidence l’importance du stress dans la compréhension ces relations. / The aim of the current thesis was to characterize the relationships between temperament and cognitive performances in horses and their modulation when influenced by stress. The temperament was evaluated considering five dimensions: fearfulness, reactivity to humans, gregariousness, tactile sensitivity and locomotor activity. The relationships between these dimensions and performances during instrumental learning tasks as well as working memory tests have been investigated. The dimension of fearfulness seems particularly important and its influence depends on the presence or absence of stressor. Fearfulness has a positive effect on performances in case of intrinsic stress, i.e. the cognitive task is the source of stress; and a negative effect in case of extrinsic stress. Without any stressor, these relationships are more contrasted. To a lesser extent, relationships between cognitive performances and the other dimensions of temperament have been found. Especially, the dimension of locomotor activity has a positive effect on performances that stands out only in presence of stressors, whether they are intrinsic or extrinsic. This thesis contributes to the characterization of links between temperament and cognition, which is a field of study in a wide expansion, and shows the importance of stress in order to understand these relations.

Cette thèse porte sur l’évaluation du leadership par une approche multi-évaluateurs (dite à 360 degrés). Tout d'abord les différents modèles du leadership, allant d'une conception unitaire, à une conception interractionniste puis à une définition en termes d'effet, sont détaillés. Puis en étudiant la question de la mesure, on met en évidence qu'avec la popularité croissante de leurs modèles, certains outils d'évaluation sont devenus des questionnaires psychométriques à part entière. Pourtant, du fait des limites de l’auto-évaluation, une nouvelle approche du leadership à vu le jour: l'évaluation à 360°. Elle évalue les qualités d'un manager en interrogeant les personnes travaillant avec lui (subordonnés, collègues, supérieurs...) et en comparant leurs évaluations avec la propre évaluation du manager. Un des points central de notre recherche a été d’étudier les apports et les limites de cette méthode. Tout d'abord on a vérifié dans quelle mesure les caractéristiques souvent utilisées pour expliquer la variabilité entre les catégories d'observateurs permettaient réellement de comprendre les écarts observés. Ces analyses ont montré que malgré des résultats significatifs, ces variables n’expliquent que très partiellement la variance existante. De par ces conclusions l’accent a été mis, non plus sur les différences inter-groupes, mais sur l'accord et le désaccord au sein des groupes d'observateurs. Enfin, la dernière partie revient aux bases méthodologiques et théoriques de la mesure en cherchant à proposer un modèle psychométriques qui conviendrait aux résultats de questionnaires à 360°, permettant de donner un cadre conceptuel au recours à des évaluateurs multiples. / This thesis is centered on leadership assessment through multi-rater evaluation, commonly known as 360 degrees assessment. First, leadership models were presented, and then, we discussed the measurement aspects of leadership, wherein we observed that some tools became full fledged psychometric assessments owning to the growing popularity of their underlying theory. Nevertheless, the concerns over the inherent limitations of self-report measures continued to be a major challenge in leadership assessment. This led to a new assessment approach called 360 degrees in which the characteristics of leaders are assessed by people working with them (subordinates, colleagues, superiors...) and compared with the leaders' self-appraisals. The focal point of this thesis was to study the advantages as well as the limitations of this approach. The study started with examining how well the variables which are supposed to explain the inter-rater variability were actually helpful in understanding the observed variance among observers. Those analysis yielded significant results despite the fact that those variables could explain only a very limited amount of variance. Following these observations, the study switched its focus from inter-group differences to intra-group / inter-rater agreement and disagreement. Finally, the last part of this thesis gets back to methodological and theoretical basics of measurement theory and proposes a psychometric model that would suit the 360 degrees assessments followed by a conceptual framework for the studies using multi-rater techniques.

The underlying causes of variability in the electrical activity of hearts from individuals of the same species are not well understood. Understanding this variability is important to enable prediction of the response of individual hearts to diseases and therapies. Current experimental and computational methods for investigating the behaviour of the heart do not incorporate biological variation between individuals. In experimental studies, experimental results are averaged together to control errors and determine the average behaviour of the studied organism. In computational studies, averaged experimental data is usually used to develop models, and these models therefore represent a 'typical' organism, with all information on variability within the species having been lost. In this thesis we develop a methodology for modelling variability between individuals of the same species in cardiac cellular electrophysiology, motivated by the inability of traditional computational modelling approaches to capture experimental variability. A first study is conducted using traditional modelling approaches to investigate potentially pro-arrhythmic abnormalities in rabbit Purkinje fibres. A comparison with experimental recordings highlights their wide variability and the inability of existing computer modelling approaches to capture it. This leads to the development of a novel methodology that integrates the variability observed in experimental data with computational modelling and simulation, by building experimentally-calibrated populations of computational models, that collectively span the variability seen in experimental data. We apply this methodology to construct a population of rabbit Purkinje cell models. We show that our population of models can quantitatively predict the range of responses, not just the average response, to application of the potassium channel blocking drug dofetilide. This demonstrates an important potential application of our methodology, for predicting pro-arrhythmic drug effects in safety pharmacology. We then analyse a data set of experimental recordings from human ventricular tissue preparations, and use this data to develop a population of human ventricular cell models. We apply this population to study how variability between individuals alters the susceptibility of cardiac cells to developing drug-induced repolarisation abnormalities. These abnormalities can increase the chance of fatal arrhythmias, but the mechanisms that determine individual susceptibility are not well-understood.