Dynamics of phonological-phonetic encoding in word production: Evidence from diverging ERPs between stroke patients and controls.

While the dynamics of lexical-semantic and lexical-phonological encoding in word production have been investigated in several event-related potential (ERP) studies, the estimated time course of phonological-phonetic encoding is the result of rather indirect evidence. We investigated the dynamics of phonological-phonetic encoding combining ERP analyses covering the entire encoding process in picture naming and word reading tasks by comparing ERP modulations in eight brain-damaged speakers presenting impaired phonological-phonetic encoding relative to 16 healthy controls. ERPs diverged between groups in terms of local waveform amplitude and global topography at ∼400ms after stimulus onset in the picture naming task and at ∼320-350ms in word reading and sustained until 100ms before articulation onset. These divergences appeared in later time windows than those found in patients with underlying lexical-semantic and lexical-phonological impairment in previous studies, providing evidence that phonological-phonetic encoding is engaged around 400ms in picture naming and around 330ms in word reading.

Understanding the low-temperature limitations to forest growth through calibration of a forest dynamics model with tree-ring data

The sensitivity of altitudinal and latitudinal tree-line ecotones to climate change, particularly that of temperature, has received much attention. To improve our understanding of the factors affecting tree-line position, we used the spatially explicit dynamic forest model TreeMig. Although well-suited because of its landscape dynamics functions, TreeMig features a parabolic temperature growth response curve, which has recently been questioned. and the species parameters are not specifically calibrated for cold temperatures. Our main goals were to improve the theoretical basis of the temperature growth response curve in the model and develop a method for deriving that curve's parameters from tree-ring data. We replaced the parabola with an asymptotic curve, calibrated for the main species at the subalpine (Swiss Alps: Pinus cembra, Larix decidua, Picea abies) and boreal (Fennoscandia: Pinus sylvestris, Betula pubescens, P. abies) tree-lines. After fitting new parameters, the growth curve matched observed tree-ring widths better. For the subalpine species, the minimum degree-day sum allowing, growth (kDDMin) was lowered by around 100 degree-days; in the case of Larix, the maximum potential ring-width was increased to 5.19 mm. At the boreal tree-line, the kDDMin for P. sylvestris was lowered by 210 degree-days and its maximum ring-width increased to 2.943 mm; for Betula (new in the model) kDDMin was set to 325 degree-days and the maximum ring-width to 2.51 mm; the values from the only boreal sample site for Picea were similar to the subalpine ones, so the same parameters were used. However, adjusting the growth response alone did not improve the model's output concerning species' distributions and their relative importance at tree-line. Minimum winter temperature (MinWiT, mean of the coldest winter month), which controls seedling establishment in TreeMig, proved more important for determining distribution. Picea, P. sylvestris and Betula did not previously have minimum winter temperature limits, so these values were set to the 95th percentile of each species' coldest MinWiT site (respectively -7, -11, -13). In a case study for the Alps, the original and newly calibrated versions of TreeMig were compared with biomass data from the National Forest Inventor), (NFI). Both models gave similar, reasonably realistic results. In conclusion, this method of deriving temperature responses from tree-rings works well. However, regeneration and its underlying factors seem more important for controlling species' distributions than previously thought. More research on regeneration ecology, especially at the upper limit of forests. is needed to improve predictions of tree-line responses to climate change further.

Regulation of microtubule dynamics by the neuronal growth-associated protein SCG10.

Dynamic assembly and disassembly of microtubules is essential for cell division, cell movements, and intracellular transport. In the developing nervous system, microtubule dynamics play a fundamental role during neurite outgrowth, elongation, and branching, but the molecular mechanisms involved are unknown. SCG10 is a neuron-specific protein that is membrane-associated and highly enriched in growth cones. Here we show that SCG10 binds to microtubules, inhibits their assembly, and can induce microtubule disassembly. We also show that SCG10 overexpression enhances neurite outgrowth in a stably transfected neuronal cell line. These data identify SCG10 as a key regulator of neurite extension through regulation of microtubule instability.

Encoding dysfunctions in a dynamic-static paradigm for visuospatial working memory in first-episode psychosis patients: a 2-year follow-up study.

Aim: To investigate static and dynamic visuospatial working memory (VSWM) processes in first-episode psychosis (FEP) patients and explore the validity of such measures as specific trait markers of schizophrenia. Methods: Twenty FEP patients and 20 age-, sex-, laterality- and education-matched controls carried out a dynamic and static VSWM paradigm. At 2-year follow up 13 patients met Diagnostic and Statistical Manual (of Mental Health Disorders) - Fourth Edition (DSM-IV) criteria for schizophrenia, 1 for bipolar disorder, 1 for brief psychotic episode and 5 for schizotypal personality disorder. Results: Compared with controls, the 20 FEP patients showed severe impairment in the dynamic VSWM condition but much less impairment in the static condition. No specific bias in stimulus selection was detected in the two tasks. Two-year follow-up evaluations suggested poorer baseline scores on the dynamic task clearly differentiated the 13 FEP patients who developed schizophrenia from the seven who did not. Conclusions: Results suggest deficits in VSWM in FEP patients. Specific exploratory analyses further suggest that deficit in monitoring-manipulation VSWM processes, especially involved in our dynamic VSWM task, can be a reliable marker of schizophrenia.

Protein-protein interaction investigated by steered molecular dynamics: the TCR-pMHC complex.

We present a novel steered molecular dynamics scheme to induce the dissociation of large protein-protein complexes. We apply this scheme to study the interaction of a T cell receptor (TCR) with a major histocompatibility complex (MHC) presenting a peptide (p). Two TCR-pMHC complexes are considered, which only differ by the mutation of a single amino acid on the peptide; one is a strong agonist that produces T cell activation in vivo, while the other is an antagonist. We investigate the interaction mechanism from a large number of unbinding trajectories by analyzing van der Waals and electrostatic interactions and by computing energy changes in proteins and solvent. In addition, dissociation potentials of mean force are calculated with the Jarzynski identity, using an averaging method developed for our steering scheme. We analyze the convergence of the Jarzynski exponential average, which is hampered by the large amount of dissipative work involved and the complexity of the system. The resulting dissociation free energies largely underestimate experimental values, but the simulations are able to clearly differentiate between wild-type and mutated TCR-pMHC and give insights into the dissociation mechanism.

Semi-supervised segmentation of ultrasound images based on patch representation and continuous min cut.

Ultrasound segmentation is a challenging problem due to the inherent speckle and some artifacts like shadows, attenuation and signal dropout. Existing methods need to include strong priors like shape priors or analytical intensity models to succeed in the segmentation. However, such priors tend to limit these methods to a specific target or imaging settings, and they are not always applicable to pathological cases. This work introduces a semi-supervised segmentation framework for ultrasound imaging that alleviates the limitation of fully automatic segmentation, that is, it is applicable to any kind of target and imaging settings. Our methodology uses a graph of image patches to represent the ultrasound image and user-assisted initialization with labels, which acts as soft priors. The segmentation problem is formulated as a continuous minimum cut problem and solved with an efficient optimization algorithm. We validate our segmentation framework on clinical ultrasound imaging (prostate, fetus, and tumors of the liver and eye). We obtain high similarity agreement with the ground truth provided by medical expert delineations in all applications (94% DICE values in average) and the proposed algorithm performs favorably with the literature.

Frequency-dependent sexual selection with respect to offspring fitness returns is consistent with predictions from rock-paper-scissors dynamics in the European common lizard

Genetic polymorphism can be maintained over time by negative frequency-dependent (FD) selection induced by Rock-paper-scissors (RPS) social systems. RPS games produce cyclic dynamics, and have been suggested to exist in lizards, insects, isopods, plants, and bacteria. Sexual selection is predicted to accentuate the survival of the future progeny during negative FD survival selection. More specifically, females are predicted to select mates that produce progeny genotypes that exhibit highest survival during survival selection imposed by adult males. However, no empirical evidence demonstrates the existence of FD sexual selection with respect to fitness payoffs of genetic polymorphisms. Here we tested this prediction using the common lizard Zootoca vivipara, a species with three male color morphs (orange, white, yellow) that exhibit morph frequency cycles. In a first step we tested the congruence of the morph frequency change with the predicted change in three independent populations, differing in male color morph frequency and state of the FD morph cycle. Thereafter we ran standardized sexual selection assays in which we excluded alternative mechanisms that potentially induce negative FD selection, and we quantified inter-sexual behavior. The patterns of sexual selection and the observed behavior were in line with context-dependent female mate choice and male behavior played a minor role. Moreover, the strength of the sexual selection was within the magnitude of selection required to produce the observed 3-4-year and 6-8 year morph frequency cycles at low and high altitudes, respectively. In summary, the study provides the first experimental evidence that underpins the crucial assumption of the RPS games suggested to exist in lizards, insects, isopods, and plants; namely, that sexual selection produces negative-FD selection. This indicates that sexual selection, in our study exert by females, might be a crucial driver of the maintenance of genetic polymorphisms.

Inflammation-induced alteration of astrocyte mitochondrial dynamics requires autophagy for mitochondrial network maintenance.

Accumulating evidence suggests that changes in the metabolic signature of astrocytes underlie their response to neuroinflammation, but how proinflammatory stimuli induce these changes is poorly understood. By monitoring astrocytes following acute cortical injury, we identified a differential and region-specific remodeling of their mitochondrial network: while astrocytes within the penumbra of the lesion undergo mitochondrial elongation, those located in the core-the area invaded by proinflammatory cells-experience transient mitochondrial fragmentation. In brain slices, proinflammatory stimuli reproduced localized changes in mitochondrial dynamics, favoring fission over fusion. This effect was triggered by Drp1 phosphorylation and ultimately resulted in reduced respiratory capacity. Furthermore, maintenance of the mitochondrial architecture critically depended on the induction of autophagy. Deletion of Atg7, required for autophagosome formation, prevented the reestablishment of tubular mitochondria, leading to marked reactive oxygen species accumulation and cell death. Thus, our data reveal autophagy to be essential for regenerating astrocyte mitochondrial networks during inflammation.

On the function of proton-gated ion channels ASICs and TRPV1 : a patch-clamp study

AbstractAcidosis is encountered during tissue inflammation and triggers pain in humans. H+-gated ion channels are expressed at high levels in sensory neurons of the peripheral nervous system. Ion channels from two different families present the required pH sensitivity to detect the acidosis associated with peripheral inflammation: Acid-Sensing Ion Channels (ASICs) and the Transient Receptor Potential Vanilloid-1 (TRPV1) channel.ASICs are members of the Degenerin/Epithelial Na+ Channel family of ion channels. Six ASIC subunits have been identified in mammals (ASICla, -lb, -2a, -2b, -3 and -4). ASICs form In-activated voltage-insensitive homo- or heterotrimeric Na+ channels. TRPV1 is a member of the TRP family of ion channels and forms non-selective cation channels that mediate a sustained current. TRPV1 is activated by H+, heat (T>43°C), lipids, capsaicin, voltage and other stimuli. A stimulus can increase TRPV1 response to a different stimulus. For example H+ can shift the capsaicin concentration dependence of TRPV1 to lower values. ASICs and TRPV1 have been shown to be involved in inflammatory pain. Using the patch-clamp technique, we studied different aspects of the function of ASICs and TRPV1 in the physiological context of pain.In the first part of this thesis, we characterize the effect of a temperature increase from 25 to 35°C on the function of ASICs and TRPV1 in transfected CHO cells and primary cultures of rat DRG sensory neurons. ASICs give rise to transient currents while TRPV1 mediates a sustained current. In addition, ASICs and TRPV1 respond to H+ with distinct pH dependences. We assess the relative contribution of ASICs and TRPV1 to H+-evoked electrical signaling in rat DRG neurons and we conclude that ASICs are the most important pH sensors in the pH range 7.4 to 6.0 at 35°C in sensory neurons.ASICs and TRPV1 are expressed in the epithelium lining the lumen of the bladder (urothelium). The Bladder Pain Syndrome/Interstitial Cystitis (BPS/IC) is a painful condition associated with a dysfunction of the urothelial barrier and with inflammation. In the second part of this thesis, we show that human urothelial cells -the cell line TEU2 and primary cultures of human bladder urothelium- express functional ASICs but no functional TRPV1 channels. In addition, we show that the levels of ASIC2 and ASIC3 mRNA are increased in the urothelium of patients suffering from BPS/IC. These data suggest that ASICs are involved in the pathology of BPS/IC.Finally, we demonstrate that APETx2 inhibits the sensory neuron specific voltage-dependent Na+ channel Nav1.8. APETx2 was previously shown to inhibit homo- or heterotrimeric ASIC3- containing channels with IC5o from 0.08 to 1 μΜ. We show that APETx2 also inhibits Nav1.8 with an ICsoof «2.6 μΜ. APETx2 reduces the maximal conductance and induces a depolarizing shift in the voltage dependence of activation of Nav1.8. In current-clamp experiments, APETx2 reduces the number of action potentials (APs) evoked by a current ramp. Nav1.8 mediates most of the current during the AP upstroke and has been shown to be an important mediator of inflammatory pain. The fact that APETx2 inhibits two ion channels involved in inflammatory pain suggests that APETx2 or derivatives may represent novel analgesic compounds.RésuméL'acidose tissulaire est observée durant l'inflammation et entraine la douleur chez l'humain. Des canaux ioniques activés par les protons (H+) sont fortement exprimés dans les neurones sensoriels du système nerveux périphérique. De ceux-ci, les Acid-Sensing Ion Channels [ASICs) et Transient Receptor Potential Vanilloid-1 (TRPV1) présentent une sensibilité adéquate à l'acidité pour servir de détecteurs d'acidose.Les ASICs sont membres de la famille Degenerin/Epithelial Na* Channel. Six sous-unités ASIC ont été identifiées chez les mammifères (ASICla, -lb, -2a, -2b, -3 et -4). Les ASICs forment des canaux sélectifs au Na\ insensibles au voltage et activés par les H+. Les canaux fonctionnels sont des homo- ou hétérotrimères de sous-unités ASIC. TRPV1 est un membre de la famille TRP de canaux ioniques. Les canaux TRPV1 sont activés par les H+, la chaleur (T>43°Ç), les lipides, la capsaicine, le voltage et d'autres stimulus. L'activation de TRPV1 entraine un courant soutenu non-sélectif. Un stimulus peut augmenter la réponse de TRPV1 à un autre stimulus. Les H+ peuvent, par exemple, induire un décalage vers des valeurs plus faibles de la courbe de dépendance à la concentration de TRPV1 pour la capsaicine. Il a été démontré que les ASICs et TRPV1 sont impliqués dans la douleur inflammatoire. En utilisant la technique du patch-clamp, nous avons étudié différents aspects de la fonction des ASICs et de TRPV1 dans des contextes associés à la douleur.Dans la première partie de cette thèse, nous caractérisons l'effet d'une augmentation de température de 25 à 35°C sur la fonction des canaux ASICs et TRPV1, dans des cellules CHO transfectées et dans des cultures primaires de neurones sensoriels (DRG) de rat. L'activation des ASICs entraine l'apparition d'un courant transitoire tandis que l'activation de TRPV1 entraine un courant soutenu. De plus, les ASICs et TRPV1 possèdent des dépendances au pH différentes. Nous évaluons la contribution relative des ASICs et de TRPV1 au signalement électrique induit par les H+ et nous concluons que les ASICs sont les senseurs d'acidité les plus importants dans les neurones sensoriels, dans le domaine de pH de 7.4 à 6.0, à température corporelle.Les ASICs et TRPV1 sont exprimés dans l'épithélium recouvrant l'intérieur de la vessie (l'urothélium). Le Bladder Pain Syndrome/Interstitial Cystitis (BPS/IC) est une condition médicale douloureuse associée à une dysfonction de la barrière urothéliale et à une inflammation. Dans la seconde partie de cette thèse, nous démontrons que des cellules urothéliales (de la lignée cellulaire TEU2) et des cellules provenant de cultures primaires d'épithéliums de vessies humaines expriment des canaux ASIC fonctionnels mais pas de TRPV1 fonctionnels. De plus, nous montrons que le niveau d'expression de ASIC2 et -3 est augmenté dans l'urothélium de la vessie de patients souffrant de BPS/IC. Ces données suggèrent que les ASICs sont impliqués dans la pathologie BPS/IC.Pour finir, nous démontrons que la toxine APETx2 inhibe le canal spécifique aux neurones sensoriels Nav1.8, un membre de la famille des canaux sodiques dépendants du potentiel. Il a été démontré précédemment que la toxine APETx2 inhibe les canaux contenant une ou plusieurs sous-unités ASIC3 avec un ICso entre 0.08 et 1 μΜ. Nous montrons que la toxine APETx2 inhibe Nav1.8 avec un IC50 de «2.6 μΜ. La toxine APETx2 réduit la conductance maximale et induit un décalage de la dépendance au potentiel de Nav1.8 vers des valeurs plus positives. Dans des expériences de courant imposé sur des neurones sensoriels, la toxine APETx2 réduit le nombre de potentiels d'action induits par une rampe de courant. Nav1.8 est responsable de la majeure partie du courant durant la phase ascendante du potentiel d'action et a été démontré comme étant un médiateur important de la douleur inflammatoire. L'inhibition de deux types de canaux, impliqués dans la douleurs inflammatoire, par la toxine APETx2, suggère que cette dernière ou ses dérivés représentent des composés analgésiques prometteurs.

Comparing Multilevel Clustering Methods on Weighted Graphs : The Case of Worldwide Air Passenger Traffic 2000-2004

Specific properties emerge from the structure of large networks, such as that of worldwide air traffic, including a highly hierarchical node structure and multi-level small world sub-groups that strongly influence future dynamics. We have developed clustering methods to understand the form of these structures, to identify structural properties, and to evaluate the effects of these properties. Graph clustering methods are often constructed from different components: a metric, a clustering index, and a modularity measure to assess the quality of a clustering method. To understand the impact of each of these components on the clustering method, we explore and compare different combinations. These different combinations are used to compare multilevel clustering methods to delineate the effects of geographical distance, hubs, network densities, and bridges on worldwide air passenger traffic. The ultimate goal of this methodological research is to demonstrate evidence of combined effects in the development of an air traffic network. In fact, the network can be divided into different levels of âeurooecohesionâeuro, which can be qualified and measured by comparative studies (Newman, 2002; Guimera et al., 2005; Sales-Pardo et al., 2007).

Spatial and temporal dynamics of jasmonate synthesis and accumulation in Arabidopsis in response to wounding.

A new metabolite profiling approach combined with an ultrarapid sample preparation procedure was used to study the temporal and spatial dynamics of the wound-induced accumulation of jasmonic acid (JA) and its oxygenated derivatives in Arabidopsis thaliana. In addition to well known jasmonates, including hydroxyjasmonates (HOJAs), jasmonoyl-isoleucine (JA-Ile), and its 12-hydroxy derivative (12-HOJA-Ile), a new wound-induced dicarboxyjasmonate, 12-carboxyjasmonoyl-l-isoleucine (12-HOOCJA-Ile) was discovered. HOJAs and 12-HOOCJA-Ile were enriched in the midveins of wounded leaves, strongly differentiating them from the other jasmonate metabolites studied. The polarity of these oxylipins at physiological pH correlated with their appearance in midveins. When the time points of accumulation of different jasmonates were determined, JA levels were found to increase within 2-5 min of wounding. Remarkably, these changes occurred throughout the plant and were not restricted to wounded leaves. The speed of the stimulus leading to JA accumulation in leaves distal to a wound is at least 3 cm/min. The data give new insights into the spatial and temporal accumulation of jasmonates and have implications in the understanding of long-distance wound signaling in plants.