Modeling resting-state functional networks when the cortex falls asleep: local and global changes.

The transition from wakefulness to sleep represents the most conspicuous change in behavior and the level of consciousness occurring in the healthy brain. It is accompanied by similarly conspicuous changes in neural dynamics, traditionally exemplified by the change from "desynchronized" electroencephalogram activity in wake to globally synchronized slow wave activity of early sleep. However, unit and local field recordings indicate that the transition is more gradual than it might appear: On one hand, local slow waves already appear during wake; on the other hand, slow sleep waves are only rarely global. Studies with functional magnetic resonance imaging also reveal changes in resting-state functional connectivity (FC) between wake and slow wave sleep. However, it remains unclear how resting-state networks may change during this transition period. Here, we employ large-scale modeling of the human cortico-cortical anatomical connectivity to evaluate changes in resting-state FC when the model "falls asleep" due to the progressive decrease in arousal-promoting neuromodulation. When cholinergic neuromodulation is parametrically decreased, local slow waves appear, while the overall organization of resting-state networks does not change. Furthermore, we show that these local slow waves are structured macroscopically in networks that resemble the resting-state networks. In contrast, when the neuromodulator decrease further to very low levels, slow waves become global and resting-state networks merge into a single undifferentiated, broadly synchronized network.

Human effector CD8+ T lymphocytes express TLR3 as a functional coreceptor.

TLR are evolutionarily conserved molecules that play a key role in the initiation of innate antimicrobial immune responses. Through their influence on dendritic cell maturation, these receptors are also thought to indirectly shape the adaptive immune response. However, no data are currently available regarding both TLR expression and function in human CD8+ T cell subsets. We report that a subpopulation of CD8+ T cells, i.e., effector, but neither naive nor central memory cells, constitutively expresses TLR3. Moreover, the ligation of the receptor by a specific agonist in TLR3-expressing CD8+ T cells increased IFN-gamma secretion induced by TCR-dependent and -independent stimulation, without affecting proliferation or specific cytolytic activity. These results thereby suggest that TLR3 ligands can not only indirectly influence the adaptive immune response through modulation of dendritic cell activation, but also directly increase IFN-gamma production by Ag-specific CD8+ T cells. Altogether, the present work might open new perspectives for the use of TLR ligands as adjuvants for immunotherapy.

Relations intergroupes : attribution à la discrimination et perception d'hostilité chez autrui

Résumé: La thèse que nous présentons s'intéresse aux phénomènes d'attribution d'intentions hostiles. Dodge (1980) observe que les individus agressifs ont tendance, en situation ambiguë, à sur-attribuer des intentions hostiles à leurs pairs, ce qui induit des réponses agressives. Pour l'auteur, l'attribution d'intentions hostiles est un médiateur entre certaines caractéristiques personnelles (l'agressivité) des individus, et le type de réponses qu'ils apportent aux situations. Cependant, les informations concernant l'appartenance groupale des "pairs" ne sont jamais prises en compte dans leurs études. Si ce processus est perméable à l'influence des normes et croyances (Bègue et Muller, 2006), aucune étude ne met en évidence quel serait l'impact d'informations groupales sur l'élaboration des réponses aux situations, dans le cadre de ce modèle. L'objectif de cette thèse est de montrer que l'attribution d'intentions hostiles peut être envisagée comme un processus agissant également à un niveau intergroupes et donc prenant en compte des informations groupales sur les individus. En s'inspirant du modèle de Dodge, nous avons émis l'hypothèse que les logiques intergroupes intervenaient dans l'interprétation des intentions des acteurs impliqués dans les interactions, afin de produire une réponse adaptée aux logiques intergroupes. Afin de tester cette hypothèse, nous avons suivi trois axes de recherches: Dans le premier de ces axes, nous avons introduit, dans le paradigme de Dodge, des informations .sur l'appartenance groupale des protagonistes de l'interaction (endogroupe vs exogroupe). Nous avons montré que le type de situation (ambiguë vs hostile) est moins important que l'information groupale dans la production d'une réponse à la situation (Étude 1). En outre, nous avons mis en évidence des processus différents selon la position des individus dans leur groupe (Étude 2). Dans le second axe, nous avons montré que si les différences de statut entre groupes n'influençaient pas directement le modèle de Dodge, elles interagissaient avec l'appartenance groupale et la clarté de la situation au niveau de l'attribution d'intentions hostiles (étude 3) et des intentions comportementales (Ettide 4). Dans le troisième et deriúer axe, nous avons introduit l'attribution d'intentions hostiles dans un processus de dévalorisation d'une cible expliquant un échec par la discrimination (Kaiser et Miller, 2001; 2003). Nous avons alors montré que l'attribution d'intentions hostiles médiatisait le lien entre l'attribution mobilisée pour expliquer l'événement et l'évaluation de la cible (Étude 5), et que ce type d'attribution était spécifique, aux intentions comportementales agressives (Études 6). Nous avons alors conclu sur la dimension sociale de l'attribution d'intentions hostiles et sur le fait qu'il s'agissait d'un élément permettant la construction d'une représentation des interactions sociales. Abstract The present thesis focuses on the phenomena of hostile intents attribution. Dodge (1980) observes that in ambiguous situations, aggressive people tend to over attribute hostile intents to others. This attribution leads them to respond aggressively. According to the author, hostile intents attribution mediates the link between some personal characteristics (aggressiveness for example) of individuals and their responses to the situation. However information related to participants group membership is always neglected in these studies. Begue and Muller (2006) showed that some beliefs could moderate the interaction between aggressiveness and hostile intents attribution on behaviors, but no study exhibited evidence of a similar effect with social information. The aim of this thesis is to show that hostile intents attribution needs to be considered at an intergroup level by taking into account people's group ineinbership. Based on the Dodge model, we formulated the hypothesis that intergroup strategies had an impact on actors' intents interpretations which in return should lead to different but adapted reactions to the situation. To test this hypothesis, three lines of research were developed. In the first line, we introduced, in the Dodge's paradigm, some information about the participants group membership (ingroup vs outgroup). We showed that when elaborating a response to a specific situation its nature (ambiguous vs hostile) had less impact than group membership information (Study 1). In addition, we highlighted some different processes according to the position of individuals in their group (Study 2). In the second line, we showed that if the differences between groups status didn't influence the Dodge model, they interacted with group membership and situation nature to influence hostile intents attribution (Study 3) and behaviors intents (Study 4). In the last line of research, we introduced hostile intents attribution within the process of derogation of a target explaining its failure by discrimination (Kaiser and Miller, 2001; 2003). We showed that hostile intents attribution mediated the link between the attibution mobilized to explain the failure and the derogation of the target (Study 5), and that this attribution type was specifically linked to aggressive behavior intents (Study 6). We finally concluded that hostile intents attribution imply an important social dimension which needs to be taken into account because involved in the construction of a representation of social interactions.

The locust foraging gene.

Our knowledge of how genes act on the nervous system in response to the environment to generate behavioral plasticity is limited. A number of recent advancements in this area concern food-related behaviors and a specific gene family called foraging (for), which encodes a cGMP-dependent protein kinase (PKG). The desert locust (Schistocerca gregaria) is notorious for its destructive feeding and long-term migratory behavior. Locust phase polyphenism is an extreme example of environmentally induced behavioral plasticity. In response to changes in population density, locusts dramatically alter their behavior, from solitary and relatively sedentary behavior to active aggregation and swarming. Very little is known about the molecular and genetic basis of this striking behavioral phenomenon. Here we initiated studies into the locust for gene by identifying, cloning, and studying expression of the gene in the locust brain. We determined the phylogenetic relationships between the locust PKG and other known PKG proteins in insects. FOR expression was found to be confined to neurons of the anterior midline of the brain, the pars intercerebralis. Our results suggest that differences in PKG enzyme activity are correlated to well-established phase-related behavioral differences. These results lay the groundwork for functional studies of the locust for gene and its possible relations to locust phase polyphenism.

Improved temporal resolution for functional studies with reduced number of segments with three-dimensional echo planar imaging.

PURPOSE: To introduce a new k-space traversal strategy for segmented three-dimensional echo planar imaging (3D EPI) that encodes two partitions per radiofrequency excitation, effectively reducing the number excitations used to acquire a 3D EPI dataset by half. METHODS: The strategy was evaluated in the context of functional MRI applications for: image quality compared with segmented 3D EPI, temporal signal-to-noise ratio (tSNR) (the ability to detect resting state networks compared with multislice two-dimensional (2D) EPI and segmented 3D EPI, and temporal resolution (the ability to separate cardiac- and respiration-related fluctuations from the desired blood oxygen level-dependent signal of interest). RESULTS: Whole brain images with a nominal voxel size of 2 mm isotropic could be acquired with a temporal resolution under half a second using traditional parallel imaging acceleration up to 4× in the partition-encode direction and using novel data acquisition speed-up of 2× with a 32-channel coil. With 8× data acquisition speed-up in the partition-encode direction, 3D reduced excitations (RE)-EPI produced acceptable image quality without introduction of noticeable additional artifacts. Due to increased tSNR and better characterization of physiological fluctuations, the new strategy allowed detection of more resting state networks compared with multislice 2D-EPI and segmented 3D EPI. CONCLUSION: 3D RE-EPI resulted in significant increases in temporal resolution for whole brain acquisitions and in improved physiological noise characterization compared with 2D-EPI and segmented 3D EPI. Magn Reson Med 72:786-792, 2014. © 2013 Wiley Periodicals, Inc.

EEG-based functional brain networks: does the network size matter?

Functional connectivity in human brain can be represented as a network using electroencephalography (EEG) signals. These networks--whose nodes can vary from tens to hundreds--are characterized by neurobiologically meaningful graph theory metrics. This study investigates the degree to which various graph metrics depend upon the network size. To this end, EEGs from 32 normal subjects were recorded and functional networks of three different sizes were extracted. A state-space based method was used to calculate cross-correlation matrices between different brain regions. These correlation matrices were used to construct binary adjacency connectomes, which were assessed with regards to a number of graph metrics such as clustering coefficient, modularity, efficiency, economic efficiency, and assortativity. We showed that the estimates of these metrics significantly differ depending on the network size. Larger networks had higher efficiency, higher assortativity and lower modularity compared to those with smaller size and the same density. These findings indicate that the network size should be considered in any comparison of networks across studies.

Interconnecting race and gender relations: racism, sexism and the attribution of sexism to the racialized Other

This article analyzes the way that attitudes about gender and race relations are interconnected. Based on a survey study conducted in Switzerland with a sample of 273 Swiss nationals (125 men and 148 women), it shows that the attribution of a higher level of sexism to "racialized Others" than to Swiss individuals is a racist process resulting in the justification and naturalization of the ordinary Swiss sexism seen in the gendered division of labor. However, this study also shows that the attribution of a higher level of sexism to the Other can be countered by simultaneously adopting both feminist and non-racist attitudes.

Transcriptomic and functional analysis of an autolysis-deficient, teicoplanin-resistant derivative of methicillin-resistant Staphylococcus aureus.

The molecular basis of glycopeptide-intermediate S. aureus (GISA) isolates is not well defined though frequently involves phenotypes such as thickened cell walls and decreased autolysis. We have exploited an isogenic pair of teicoplanin-susceptible (strain MRGR3) and teicoplanin-resistant (strain 14-4) methicillin-resistant S. aureus strains for detailed transcriptomic profiling and analysis of altered autolytic properties. Strain 14-4 displayed markedly deficient Triton X-100-triggered autolysis compared to its teicoplanin-susceptible parent, although microarray analysis paradoxically did not reveal significant reductions in expression levels of major autolytic genes atl, lytM, and lytN, except for sle1, which showed a slight decrease. The most important paradox was a more-than-twofold increase in expression of the cidABC operon in 14-4 compared to MRGR3, which was correlated with decreased expression of autolysis negative regulators lytSR and lrgAB. In contrast, the autolysis-deficient phenotype of 14-4 was correlated with both increased expression of negative autolysis regulators (arlRS, mgrA, and sarA) and decreased expression of positive regulators (agr RNAII and RNAIII). Quantitative bacteriolytic assays and zymographic analysis of concentrated culture supernatants showed a striking reduction in Atl-derived, extracellular bacteriolytic hydrolase activities in 14-4 compared to MRGR3. This observed difference was independent of the source of cell wall substrate (MRGR3 or 14-4) used for analysis. Collectively, our results suggest that altered autolytic properties in 14-4 are apparently not driven by significant changes in the transcription of key autolytic effectors. Instead, our analysis points to alternate regulatory mechanisms that impact autolysis effectors which may include changes in posttranscriptional processing or export.

The Inventor Balance and the Functional Specialization in Global Inventive Activities

We study the functional specialization whereby some countries contribute relatively more inventors vs. organizations in the production of inventions at a global scale. We propose a conceptual framework to explain this type of functional specialization, which posits the presence of feedbacks between two distinct sub-systems, each one providing inventors and organizations. We quantify the phenomenon by means of a new metric, the “inventor balance”, which we compute using patent data. We show that the observed imbalances, which are often conspicuous, are determined by several factors: the innovativeness of a country relative to its level of economic development, relative factor endowments, the degree of technological specialization and, last, cultural traits. We argue that the “inventor balance” is a useful indicator for policy makers, and its routine analysis could lead to better informed innovation policies.