Parallel imaging with phase scrambling.

PURPOSE: Most existing methods for accelerated parallel imaging in MRI require additional data, which are used to derive information about the sensitivity profile of each radiofrequency (RF) channel. In this work, a method is presented to avoid the acquisition of separate coil calibration data for accelerated Cartesian trajectories. METHODS: Quadratic phase is imparted to the image to spread the signals in k-space (aka phase scrambling). By rewriting the Fourier transform as a convolution operation, a window can be introduced to the convolved chirp function, allowing a low-resolution image to be reconstructed from phase-scrambled data without prominent aliasing. This image (for each RF channel) can be used to derive coil sensitivities to drive existing parallel imaging techniques. As a proof of concept, the quadratic phase was applied by introducing an offset to the x(2) - y(2) shim and the data were reconstructed using adapted versions of the image space-based sensitivity encoding and GeneRalized Autocalibrating Partially Parallel Acquisitions algorithms. RESULTS: The method is demonstrated in a phantom (1 × 2, 1 × 3, and 2 × 2 acceleration) and in vivo (2 × 2 acceleration) using a 3D gradient echo acquisition. CONCLUSION: Phase scrambling can be used to perform parallel imaging acceleration without acquisition of separate coil calibration data, demonstrated here for a 3D-Cartesian trajectory. Further research is required to prove the applicability to other 2D and 3D sampling schemes. Magn Reson Med, 2014. © 2014 Wiley Periodicals, Inc.

Making sense of AMPA receptor trafficking by modeling molecular mechanisms of synaptic plasticity.

Synaptic plasticity involves a complex molecular machinery with various protein interactions but it is not yet clear how its components give rise to the different aspects of synaptic plasticity. Here we ask whether it is possible to mathematically model synaptic plasticity by making use of known substances only. We present a model of a multistable biochemical reaction system and use it to simulate the plasticity of synaptic transmission in long-term potentiation (LTP) or long-term depression (LTD) after repeated excitation of the synapse. According to our model, we can distinguish between two phases: first, a "viscosity" phase after the first excitation, the effects of which like the activation of NMDA receptors and CaMKII fade out in the absence of further excitations. Second, a "plasticity" phase actuated by an identical subsequent excitation that follows after a short time interval and causes the temporarily altered concentrations of AMPA subunits in the postsynaptic membrane to be stabilized. We show that positive feedback is the crucial element in the core chemical reaction, i.e. the activation of the short-tail AMPA subunit by NEM-sensitive factor, which allows generating multiple stable equilibria. Three stable equilibria are related to LTP, LTD and a third unfixed state called ACTIVE. Our mathematical approach shows that modeling synaptic multistability is possible by making use of known substances like NMDA and AMPA receptors, NEM-sensitive factor, glutamate, CaMKII and brain-derived neurotrophic factor. Furthermore, we could show that the heteromeric combination of short- and long-tail AMPA receptor subunits fulfills the function of a memory tag.

Inherently self-calibrating non-Cartesian parallel imaging.

The use of self-calibrating techniques in parallel magnetic resonance imaging eliminates the need for coil sensitivity calibration scans and avoids potential mismatches between calibration scans and subsequent accelerated acquisitions (e.g., as a result of patient motion). Most examples of self-calibrating Cartesian parallel imaging techniques have required the use of modified k-space trajectories that are densely sampled at the center and more sparsely sampled in the periphery. However, spiral and radial trajectories offer inherent self-calibrating characteristics because of their densely sampled center. At no additional cost in acquisition time and with no modification in scanning protocols, in vivo coil sensitivity maps may be extracted from the densely sampled central region of k-space. This work demonstrates the feasibility of self-calibrated spiral and radial parallel imaging using a previously described iterative non-Cartesian sensitivity encoding algorithm.

Interbank market integration under asymmetric information

We argue that the main barrier to an integrated international interbankmarket is the existence of asymmetric information between differentcountries, which may prevail in spite of monetary integration or successfulcurrency pegging. In order to address this issue, we study the scope forinternational interbank market integration with unsecured lending whencross-country information is noisy. We find not only that an equilibriumwith integrated markets need not always exist, but also that when it does,the integrated equilibrium may coexist with one of interbank marketsegmentation. Therefore, market deregulation, per se, does not guaranteethe emergence of an integrated interbank market. The effect of a repo marketwhich, a priori, was supposed to improve efficiency happens to be morecomplex: it reduces interest rate spreads and improves upon the segmentationequilibrium, but\ it may destroy the unsecured integrated equilibrium, sincethe repo market will attract the best borrowers. The introduction of othertransnational institutional arrangements, such as multinational banking,correspondent banking and the existence of "too-big-to-fail" banks mayreduce cross country interest spreads and provide more insurance againstcountry wide liquidity shocks. Still, multinational banking, as theintroduction of repos, may threaten the integrated interbank marketequilibrium.

Quality assurance mechanisms in agrifood: The case of the Spanish fresh meat sector

The largest fresh meat brand names in Spain are analyzed here to studyhow quality is signaled in agribusiness and how the underlying quality-assurance organizations work. Results show, first, that organizationalform varies according to the specialization of the brand name.Publicly-controlled brand names are grounded on market contracting withindividual producers, providing stronger incentives. In contrast,private brands rely more on hierarchy, taking advantage of itssuperiority in solving specific coordination problems. Second, theseemingly redundant coexistence of several quality indicators for agiven product is explained in efficiency terms. Multiple brands areshown to be complementary, given their specialization in guaranteeingdifferent attributes of the product.

Hypoxie-ischémie cérébrale néonatale : rôle de la voie de JNK et implication de l'autophagie dans la mort neuronale

Résumé : Malgré les immenses progrès réalisés depuis plusieurs années en médecine obstétricale ainsi qu'en réanimation néonatale et en recherche expérimentale, l'asphyxie périnatale, une situation de manque d'oxygène autour du moment de la naissance, reste une cause majeure de mortalité et de morbidité neurologique à long terme chez l'enfant (retard mental, paralysie cérébrale, épilepsie, problèmes d'apprentissages) sans toutefois de traitement pharmacologique réel. La nécessité de développer de nouvelles stratégies thérapeutiques pour les complications de l'asphyxie périnatale est donc aujourd'hui encore essentielle. Le but général de ce travail est l'identification de nouvelles cibles thérapeutiques impliquées dans des mécanismes moléculaires pathologiques induits par l'hypoxie-ischémie (HI) dans le cerveau immature. Pour cela, le modèle d'asphyxie périnatale (proche du terme) le plus reconnu chez le rongeur a été développé (modèle de Rice et Vannucci). Il consiste en la ligature permanente d'une artère carotide commune (ischémie) chez le raton de 7 jours combinée à une période d'hypoxie à 8% d'oxygène. Il permet ainsi d'étudier les lésions de type hypoxique-ischémique dans différentes régions cérébrales dont le cortex, l'hippocampe, le striatum et le thalamus. La première partie de ce travail a abordé le rôle de deux voies de MAPK, JNK et p38, après HI néonatale chez le raton à l'aide de peptides inhibiteurs. Tout d'abord, nous avons démontré que D-JNKI1, un peptide inhibiteur de la voie de JNK présentant de fortes propriétés neuroprotectrices dans des modèles d'ischémie cérébrale adulte ainsi que chez le jeune raton, peut intervenir sur différentes voies de mort dont l'activation des calpaïnes (marqueur de la nécrose précoce), l'activation de la caspase-3 (marqueur de l'apoptose) et l'expression de LC3-II (marqueur de macroautophagie). Malgré ces effets positifs le traitement au D-JNKI1 ne modifie pas l'étendue de la lésion cérébrale. L'action limitée de D-JNKI1 peut s'expliquer par une implication modérée des JNKs (faiblement activées et principalement l'isotype JNK3) après HI néonatale sévère. Au contraire, l'inhibition de la voie de nNOS/p38 par le peptide DTAT-GESV permet une augmentation de 20% du volume du tissu sain à court et long terme. Le second projet a étudié les effets de l'HI néonatale sur l'autophagie neuronale. En effet, l'autophagie est un processus catabolique essentiel au bien-être de la cellule. Le type principal d'autophagie (« macroautophagie » , que nous appellerons par la suite « autophagie ») consiste en la séquestration d'éléments à dégrader (protéines ou organelles déficients) dans un compartiment spécialisé, l'autophagosome, qui fusionne avec un lysosome pour former un autolysosome où le contenu est dégradé par les hydrolases lysosomales. Depuis peu, l'excès ou la dérégulation de l'autoptiagie a pu être impliqué dans la mort cellulaire en certaines conditions de stress. Ce travail démontre que l'HI néonatale chez le raton active fortement le flux autophagique, c'est-à-dire augmente la formation des autophagosomes et des autolysosomes, dans les neurones en souffrance. De plus, la relation entre l'autophagie et l'apoptose varie selon la région cérébrale. En effet, alors que dans le cortex les neurones en voie de mort présentent des caractéristiques mixtes apoptotiques et autophagiques, ceux du CA3 sont essentiellement autophagiques et ceux du CA1 sont principalement apoptotiques. L'induction de l'autophagie après HI néonatale semble donc participer à la mort neuronale soit par l'enclenchement de l'apoptose soit comme mécanisme de mort en soi. Afin de comprendre la relation pouvant exister entre autophagie et apoptase un troisième projet a été réalisé sur des cultures primaires de neurones corticaux exposés à un stimulus apoptotique classique, la staurosporine (STS). Nous avons démontré que l'apoptose induite par la STS était précédée et accompagnée par une forte activation du flux autophagique neuronal. L'inhibition de l'autophagie de manière pharmacologique (3-MA) ou plus spécifiquement par ARNs d'interférence dirigés contre deux protéines autophagiques importantes (Atg7 et Atg5) a permis de mettre en évidence des rôles multiples de l'autophagie dans la mort neuronale. En effet, l'autophagie prend non seulement part à une voie de mort parallèle à l'apoptose pouvant être impliquée dans l'activation des calpaïnes, mais est également partiellement responsable de l'induction des voies apoptotiques (activation de la caspase-3 et translocation nucléaire d'AIF). En conclusion, ce travail a montré que l'inhibition de JNK par D-JNKI1 n'est pas un outil neuroprotecteur efficace pour diminuer la mort neuronale provoquée par l'asphyxie périnatalé sévère, et met en lumière deux autres voies thérapeutiques beaucoup plus prometteuses, l'inhibition de nNOS/p38 ou de l'autophagie. ABSTRACT : Despite enormous progress over the last«decades in obstetrical and neonatal medicine and experimental research, perinatal asphyxia, a situation of lack of oxygen around the time of the birth, remains a major cause of mortality and long term neurological morbidity in children (mental retardation, cerebral palsy, epilepsy, learning difficulties) without any effective treatment. It is therefore essential to develop new therapeutic strategies for the complications of perinatal asphyxia. The overall aim of this work was to identify new therapeutic targets involved in pathological molecular mechanisms induced by hypoxia-ischemia (HI) in the immature brain. For this purpose, the most relevant model of perinatal asphyxia (near term) in rodents has been developed (model of Rice and Vannucci). It consists in the permanent ligation of one common carotid artery (ischemia) in the 7-day-old rat combined with a period of hypoxia at 8% oxygen. This model allows the study of the hypoxic-ischemic lesion in different brain regions including the cortex, hippocampus, striatum and thalamus. The first part of this work addressed the role of two MAPK pathways (JNK and p38) after rat neonatal HI using inhibitory peptides. First, we demonstrated that D-JNKI1, a JNK peptide inhibitor presenting strong neuroprotective properties in models of cerebral ischemia in adult and young rats, could affect different cell death mechanisms including the activation of calpain (a marker of necrosis) and caspase-3 (a marker of apoptosis), and the expression of LC3-II (a marker of macroautophagy). Despite these positive effects, D-JNKI1 did not modify the extent of brain damage. The limited action of D-JNKI1 can be explained by the fact that JNKs were only moderately involved (weakly activated and principally the JNK3 isotype) after severe neonatal HI. In contrast, inhibition of nNOS/p38 by the peptide D-TAT-GESV increased the surviving tissue volume by around 20% at short and long term. The second project investigated the effects of neonatal HI on neuronal autophagy. Indeed, autophagy is a catabolic process essential to the well-being of the cell. The principal type of autophagy ("macroautophagy", that we shall henceforth call "autophagy") involves the sequestration of elements to be degraded (deficient proteins or organelles) in a specialized compartment, the autophagosome, which fuses with a lysosome to form an autolysosome where the content is degraded by lysosomal hydrolases. Recently, an excess or deregulation of autophagy has been implicated in cell death in some stress conditions. The present study demonstrated that rat neonatal HI highly enhanced autophagic flux, i.e. increased autophagosome and autolysosome formation, in stressed neurons. Moreover, the relationship between autophagy and apoptosis varies according to the brain region. Indeed, whereas dying neurons in the cortex exhibited mixed features of apoptosis and autophagy, those in CA3 were primarily autophagíc and those in CA1 were mainly apoptotic. The induction of autophagy after neonatal HI seems to participate in neuronal death either by triggering apoptosis or as a death mechanism per se. To understand the relationships that may exist between autophagy and apoptosis, a third project has been conducted using primary cortical neuronal cultures exposed to a classical apoptotic stimulus, staurosporine (STS). We demonstrated that STS-induced apoptosis was preceded and accompanied by a strong activation of neuronal autophagic flux. Inhibition of autophagy pharmacologically (3-MA) or more specifically by RNA interference directed against two important autophagic proteins (Atg7 and AtgS) showed multiple roles of autophagy in neuronal death. Indeed, autophagy was not only involved in a death pathway parallel to apoptosis possibly involved in the activation of calpains, but was also partially responsible for the induction of apoptotic pathways (caspase-3 activation and AIF nuclear translocation). In conclusion, this study showed that JNK inhibition by D-JNKI1 is not an effective neuroprotective tool for decreasing neuronal death following severe perinatal asphyxia, but highlighted two more promising therapeutic approaches, inhibition of the nNOSlp38 pathway or of autophagy.

Mechanisms of proteasome inhibitor-induced cytotoxicity in malignant glioma.

The 26S proteasome constitutes an essential degradation apparatus involved in the consistent recycling of misfolded and damaged proteins inside cells. The aberrant activation of the proteasome has been widely observed in various types of cancers and implicated in the development and progression of carcinogenesis. In the era of targeted therapies, the clinical use of proteasome inhibitors necessitates a better understanding of the molecular mechanisms of cell death responsible for their cytotoxic action, which are reviewed here in the context of sensitization of malignant gliomas, a tumor type particularly refractory to conventional treatments.

Early change in defence mechanisms and coping in short-term dynamic psychotherapy: relations with symptoms and alliance.

Several patient-related variables have already been investigated as predictors of change in psychodynamic psychotherapy. Defensive functioning is one of them. However, few studies have investigated adaptational processes, encompassing defence mechanisms and coping, from an integrative or comparative viewpoint. This study includes 32 patients, mainly diagnosed with adjustment disorder and undergoing time-limited psychodynamic psychotherapy lasting up to 40 sessions, and will focus on early change in defence and coping. Observer-rater methodology was applied to the transcripts of two sessions of the first part of the psychotherapeutic process. It is assumed that the contextual-relational variable of therapeutic alliance intervenes as moderator on change in adaptational processes. Results corroborated the hypothesis, but only for coping, whereas for defences, overall functioning remained stable over the first 20 sessions of psychotherapy. These results are discussed within the framework of disentangling processes underlying adaptation, i.e., related to issues on trait and state aspects, as well as the role of the therapeutic alliance.

Parallel scheduling of multiclass M/M/m queues: Approximate and heavy-traffic optimization of achievable performance

We address the problem of scheduling a multiclass $M/M/m$ queue with Bernoulli feedback on $m$ parallel servers to minimize time-average linear holding costs. We analyze the performance of a heuristic priority-index rule, which extends Klimov's optimal solution to the single-server case: servers select preemptively customers with larger Klimov indices. We present closed-form suboptimality bounds (approximate optimality) for Klimov's rule, which imply that its suboptimality gap is uniformly bounded above with respect to (i) external arrival rates, as long as they stay within system capacity;and (ii) the number of servers. It follows that its relativesuboptimality gap vanishes in a heavy-traffic limit, as external arrival rates approach system capacity (heavy-traffic optimality). We obtain simpler expressions for the special no-feedback case, where the heuristic reduces to the classical $c \mu$ rule. Our analysis is based on comparing the expected cost of Klimov's ruleto the value of a strong linear programming (LP) relaxation of the system's region of achievable performance of mean queue lengths. In order to obtain this relaxation, we derive and exploit a new set ofwork decomposition laws for the parallel-server system. We further report on the results of a computational study on the quality of the $c \mu$ rule for parallel scheduling.

Asymmetric effects of monetary policy in the US: Positive vs. negative or big vs. small?

This paper reconsiders the empirical evidence on the asymmetricoutput effects of monetary policy. Asymmetric effects is a common feature ofmany theoretical models, and there are many different versions of suchasymmetries. We concentrate on the distinctions between positive andnegative money-supply changes, big and small changes in money-supply, andpossible combinations of the two asymmetries. Earlier research has foundempirical evidence in favor of the former of these in US data. Using M1 asthe monetary variable we find evidence in favor of neutrality of big shocksand non-neutrality of small shocks. The results may, however, be affected bystructual instability of M1 demand. Thus, we substitute M1 with the federalfunds rate. In these data we find that only small negative shocks affectreal aggregate activity. The results are interpreted in terms of menu-costmodels.

Plastic brain mechanisms for attaining auditory temporal order judgment proficiency.

Accurate perception of the order of occurrence of sensory information is critical for the building up of coherent representations of the external world from ongoing flows of sensory inputs. While some psychophysical evidence reports that performance on temporal perception can improve, the underlying neural mechanisms remain unresolved. Using electrical neuroimaging analyses of auditory evoked potentials (AEPs), we identified the brain dynamics and mechanism supporting improvements in auditory temporal order judgment (TOJ) during the course of the first vs. latter half of the experiment. Training-induced changes in brain activity were first evident 43-76 ms post stimulus onset and followed from topographic, rather than pure strength, AEP modulations. Improvements in auditory TOJ accuracy thus followed from changes in the configuration of the underlying brain networks during the initial stages of sensory processing. Source estimations revealed an increase in the lateralization of initially bilateral posterior sylvian region (PSR) responses at the beginning of the experiment to left-hemisphere dominance at its end. Further supporting the critical role of left and right PSR in auditory TOJ proficiency, as the experiment progressed, responses in the left and right PSR went from being correlated to un-correlated. These collective findings provide insights on the neurophysiologic mechanism and plasticity of temporal processing of sounds and are consistent with models based on spike timing dependent plasticity.

A comparison of stock market mechanisms

This paper studies the relationship between the amount of publicinformation that stock market prices incorporate and the equilibriumbehavior of market participants. The analysis is framed in a static, NREEsetup where traders exchange vectors of assets accessing multidimensionalinformation under two alternative market structures. In the first(the unrestricted system), both informed and uninformed speculators cancondition their demands for each traded asset on all equilibrium prices;in the second (the restricted system), they are restricted to conditiontheir demand on the price of the asset they want to trade. I show thatinformed traders incentives to exploit multidimensional privateinformation depend on the number of prices they can condition upon whensubmitting their demand schedules, and on the specific price formationprocess one considers. Building on this insight, I then give conditionsunder which the restricted system is more efficient than the unrestrictedsystem.

Concepts of metastasis in flux: the stromal progression model.

The ability of tumor cells to leave a primary tumor, to disseminate through the body, and to ultimately seed new secondary tumors is universally agreed to be the basis for metastasis formation. An accurate description of the cellular and molecular mechanisms that underlie this multistep process would greatly facilitate the rational development of therapies that effectively allow metastatic disease to be controlled and treated. A number of disparate and sometimes conflicting hypotheses and models have been suggested to explain various aspects of the process, and no single concept explains the mechanism of metastasis in its entirety or encompasses all observations and experimental findings. The exciting progress made in metastasis research in recent years has refined existing ideas, as well as giving rise to new ones. In this review we survey some of the main theories that currently exist in the field, and show that significant convergence is emerging, allowing a synthesis of several models to give a more comprehensive overview of the process of metastasis. As a result we postulate a stromal progression model of metastasis. In this model, progressive modification of the tumor microenvironment is equally as important as genetic and epigenetic changes in tumor cells during primary tumor progression. Mutual regulatory interactions between stroma and tumor cells modify the stemness of the cells that drive tumor growth, in a manner that involves epithelial-mesenchymal and mesenchymal-epithelial-like transitions. Similar interactions need to be recapitulated at secondary sites for metastases to grow. Early disseminating tumor cells can progress at the secondary site in parallel to the primary tumor, both in terms of genetic changes, as well as progressive development of a metastatic stroma. Although this model brings together many ideas in the field, there remain nevertheless a number of major open questions, underscoring the need for further research to fully understand metastasis, and thereby identify new and effective ways of treating metastatic disease.

Full insurance, asymmetric information and genetic testing

This paper extends previous resuls on optimal insurance trading in the presence of a stock market that allows continuous asset trading and substantial personal heterogeneity, and applies those results in a context of asymmetric informationwith references to the role of genetic testing in insurance markets.We find a novel and surprising result under symmetric information:agents may optimally prefer to purchase full insurance despitethe presence of unfairly priced insurance contracts, and other assets which are correlated with insurance.Asymmetric information has a Hirschleifer-type effect whichcan be solved by suspending insurance trading. Nevertheless,agents can attain their first best allocations, which suggeststhat the practice of restricting insurance not to be contingenton genetic tests can be efficient.

Research joint ventures and optimal R&D policy with asymmetric information

When to allow Research Joint Ventures (RJVs) or not is an importantinstrument in the development of an optimal R&D policy. Theregulator, however, is unlikely to know all the relevant informationto regulate R&D optimally. The extent to which there existappropriability problems between the firms is one such variable thatis private information to the firms in the industry. In a duopolysetting we analyze the characteristics of a second-best R&D policywhere the government can either allow RJVs or not and give lump-sumsubsidies to the parties involved. The second-best R&D policy withoutsubsidies will either block some welfare improving RJVs or allow somewelfare reducing ones. With lump-sum subsidies, the second-best policytrades off the expected subsidy cost with allowing welfare decreasingRJVs or blocking welfare increasing ones.