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The role of gamma oscillatory activity in magnetoencephalogram for auditory memory processing
(2010)
Recent studies have suggested an important role of cortical gamma oscillatory activity (30-100 Hz) as a correlate of encoding, maintaining and retrieving auditory, visual or tactile information in and from memory. It was shown that these cortical stimulus representations were modulated by attention processes. Gamma-band activity (GBA) occurred as an induced response peaking at approximately 200-300 ms after stimulus presentation. Induced cortical responses appear as non-phase-locked activity and are assumed to reflect active cortical processing rather than passive perception. Induced GBA peaking 200-300 ms after stimulus presentation has been assumed to reflect differences between experimental conditions containing various stimuli. By contrast, the relationship between specific oscillatory signals and the representation of individual stimuli has remained unclear. The present study aimed at the identification of such stimulus-specific gamma-band components. We used magnetoencephalography (MEG) to assess gamma activity during an auditory spatial delayed matching-to-sample task. 28 healthy adults were assigned to one of two groups R and L who were presented with only right- or left-lateralized sounds, respectively. Two sample stimuli S1 with lateralization angles of either 15° or 45° deviation from the midsagittal plane were used in each group. Participants had to memorize the lateralization angle of S1 and compare it to a second lateralized sound S2 presented after an 800-ms delay phase. S2 either had the same or a different lateralization angle as S1. After the presentation of S2, subjects had to indicate whether S1 and S2 matched or not. Statistical probability mapping was applied to the signals at sensor level to identify spectral amplitude differences between 15° and 45° stimuli. We found distinct gamma-band components reflecting each sample stimulus with center frequencies ranging between 59 and 72 Hz in different sensors over parieto-occipital cortex contralateral to the side of stimulation. These oscillations showed maximal spectral amplitudes during the middle 200-300 ms of the delay phase and decreased again towards its end. Additionally, we investigated correlations between the activation strength of the gamma-band components and memory task performance. The magnitude of differentiation between oscillatory components representing 'preferred' and 'nonpreferred' stimuli during the final 100 ms of the delay phase correlated positively with task performance. These findings suggest that the observed gamma-band components reflect the activity of neuronal networks tuned to specific auditory spatial stimulus features. The activation of these networks seems to contribute to the maintenance of task-relevant information in short-term memory.
Type 1 diabetes (T1D) is a chronic T cell-mediated autoimmune disorder that results in the destruction of insulin-producing pancreatic ß cells leading to life-long dependence on exogenous insulin. Attraction, activation and transmigration of inflammatory cells to the site of ß-cell injury depend on two major molecular interactions. First, interactions between chemokines and their receptors expressed on leukocytes result in the recruitment of circulating inflammatory cells to the site of injury. In this context, it has been demonstrated in various studies that the interaction of the chemokine CXCL10 with its receptor CXCR3 expressed on circulating cells plays a key role in the development of T1D. Second, once arrived at the site of inflammation adhesion molecules promote the extravasation of arrested cells through the endothelial cell layer to penetrate the site of injury. Here, the junctional adhesion molecule (JAM) JAM-C expressed on endothelial cells is involved in the process of leukocyte diabedesis. It was recently demonstrated that blocking of JAM-C efficiently attenuated cerulein-induced pancreatitis in mice. In my thesis I studied the influence of the CXCL10/CXCR3 interaction on the one hand, and of the adhesion molecule JAM-C on the other hand, on trafficking and transmigration of antigen-specific, autoaggressive T cells in the RIP-LCMV mouse model. RIP-LCMV mice express the glycoprotein (GP) or the nucleoprotein (NP) of the lymphocytic choriomeningitis virus (LCMV) as a target autoantigen specifically in the ß cells of the islets of Langerhans and turn diabetic after LCMV-infection. In my first project I found that pharmacologic blockade of CXCR3 during development of virus-induced T1D results in a significant delay but not in an abrogation of overt disease. However, neither the frequency nor the migratory properties of islet-specific T cells was significantly changed during CXCR3 blockade. In the second project I was able to demonstrate that JAM-C was upregulated around the islets in RIP-LCMV mice after LCMV infection and its expression correlated with islet infiltration and functional ß-cell impairment. Blockade with a neutralizing anti-JAM-C antibody slightly reduced T1D incidence, whereas overexpression of JAM-C on endothelial cells did not accelerate virus-induced diabetes. In summary, our data suggest that both CXCR3 as well as JAM-C are involved in trafficking and transmigration of antigen-specific autoaggressive T cells to the islets of Langerhans. However, the detection of only a moderate influence on the onset of clinical disease during CXCR3 or JAM-C blockade reflects the complex pathogenesis of T1D and indicates that several different inflammatory factors need to be neutralized in order to achieve a stable and persistent protection from disease.
In this retrospective study, case records of clinical forensic examinations and respective investigation records of the police and the public prosecutor’s (state attorney) office along with the resulting verdicts were examined in terms of type and site of injury found and extent of agreement or discrepancy between the story given by the accused party and the medical conclusions drawn from the injury pattern. Particular attention was focussed on the relevance of the expert opinion for the legal assessment through case-specific analysis of the respective verdicts. A total of 118 cases originating from the scope of the Institute of Forensic Medicine, Goethe-University Frankfurt/Main (2002 – 2005) were examined. These included bodily injury, child abuse, sexual compulsion, self-mutilation and injury patterns of individuals under suspicion of attempted or completed manslaughter/homicide. As compared to former studies, the results of this analysis were additionally correlated with the investigation records of the public prosecutor’s office (state attorney) to elucidate the importance of the forensic findings for police investigation and legal evaluation. The forensic examination involved 19 accused and 99 victims. As for the gender distribution of the victims, 51 females and 48 males were encountered. Slight female preponderance was seen in cases of sexual compulsion. The group of accused individuals consisted of 16 males and 3 females. Injuries due to blunt force impact, in particular hematomas involving skull and trunk, dominated as diagnostic findings in cases of bodily injury, sexual offenses and child abuse. In cases with suspected self-mutilation and in examinations of accused perpetrators of manslaughter/homicide scratches and lacerations prevailed. Correlating injury patterns and police inquiries, conclusions drawn from medical findings and results of police investigations were in good agreement in 46 % of the cases, but showed major discrepancies in another 25 %. In the remaining 29 % of the cases, the injury pattern did not allow for a definite expert opinion on the mode of infliction. Nevertheless, a detailed documentation of the medical findings proved to be of substantial value for police investigations. 39 % of the cases resulted in a final verdict, whilst in 59 % of the cases the charge was dismissed. Especially in the ladder forensic expert opinion was of considerable importance, since forensic assessment of injuries could either not be attributed to a certain perpetrator or contributed to the exoneration of the accused. In 2 % the judicial assessment was not available. In 82 % of the cases of child abuse the proceedings were stopped, e.g. since maltreatment could not be assigned to a particular perpetrator. In these cases, it became obvious, that forensic examination and assessment alone does not suffice, but has to be embedded in police investigations to achieve optimal results. Medical conclusions by forensic experts were – almost without any exception – considered in legal assessment and differentiatedly taken into account when weighing the sentence, thus reflecting the objectivity and neutrality of the medical assessment. In synopsis, albeit evidential value of forensic examination is assessed to be high optimal clarification of a case requires integration into the complete spectrum of investigations performed in a case.
A basic introduction to RFQs has been given in the first part of this thesis. The principle and the main ideas of the RFQ have been described and a small summary of different resonator concepts has been given. Two different strategies of designing RFQs have been introduced. The analytic description of the electric fields inside the quadrupole channel has been derived and the limitation of these approaches were shown. The main work of this thesis was the implementation and analysis of a Multigrid Poisson solver to describe the potential and electric field of RFQs which are needed to simulate the particle dynamics accurately. The main two ingredients of a Multigrid Poisson solver are the ability of a Gauß-Seidel iteration method to smooth the error of an approximation within a few iteration steps and the coarse grid principle. The smoothing corresponds to a damping of the high frequency components of the error. After the smoothing, the error term can well be approximated on a coarser grid in which the low frequency components of the error on the fine grid are converted to high frequency errors on the coarse grid which can be damped further with the same Gauß-Seidel method. After implementation, the multigrid Poisson solver was analyzed using two different type of test problems: with and without a charge density. After illustrating the results of the multigrid Poisson solver, a comparison to the field of the old multipole expansion method was made. The multipole expansion method is an accurate representation of the field within the minimum aperture, as limited by cylindrical symmetry. Within these limitations the multigrid Poisson solver and the multipole expansion method agree well. Beyond the limitation the two method give different fields. It was shown that particles leave the region in which the multipole expansion method gives correct fields and that the transmission is affected therefrom as well as the single particle dynamic. The multigridPoisson solver also gives a more realistic description of the field in the beginning of the RFQ, because it takes the tank wall into account, and this effect is shown as well. Closing the analysis of the external field, the transmission and fraction of accelerated particles of the set of 12 RFQs for the two different methods were shown. For RFQs with small apertures and big modulations the two different method give different values for the transmission due to the limitation of the multipole expansion method. The internal space charge fields without images was analyzed at the level of single particle dynamic and compared to the well known SCHEFF routine from LANL, showing major differences for the analyzed particle. For comparing influences on the transmissions of the set of 12 RFQs a third space charge routine (PICNIC) was considered as well. The basic shape of the transmission curve was the same independent of space charge routines, but the absolute values differ a little from routine to routine, with SCHEFF about 2% lower than the other routines. The multigrid Poisson solver and PICNIC agree quite well (less than 1%), but PICNIC has an extremely long running time. The major advantage of the multigrid Poisson solver in calculating space charge effects compared to the other two routines used here is that the Poisson solver can take the effect of image charges on the electrodes into account by just changing the boundaries to have the shape of the vanes whereas all other settings remain unchanged. It was demonstrated that the effect of image charges on the vanes on the space charge field is very big in the region close to the electrodes. Particles in that region will see a stronger transversely defocusing force than without images. The result is that the transmission decreases by as much as 10% which is considerably more than determined by other (inexact) routines before. This is an important result, because knowing about the big effect of image charges on the electrodes it allows it to taken into account while designing the RFQ to increase the performance of the machine. It is also an important factor in resolving the traditional difference observed between the transmission of actual RFQs and the transmission predicted by earlier simulations. In the last chapter of this thesis some experimental work on the MAFF (Munich Accelerator for Fission Fragments) IH-RFQ is described. The machine was assembled in Frankfurt and a beam test stand was built. The shunt impedance of the structure was measured using different techniques, the output energy of the structure were measured and finally its transmission was determined and compared to the beam dynamics simulations of the RFQ. Unfortunately, the transmission measurements were done without exact knowledge of the beam’s emittance. So the comparison to the simulation is somewhat rough, but with a reasonable guess of the emittance a good comparison between the measurement and simulation was obtained.
In order to fully understand the new state of matter formed in heavy ion collisions, it is vital to isolate the always present final state hadronic contributions within the primary Quark-Gluon Plasma (QGP) experimental signatures. Previously, the hadronic contributions were determined using the properties of the known mesons and baryons. However, according to Hagedorn, hadrons should follow an exponential mass spectrum, which the known hadrons follow only up to masses of M = 2 GeV. Beyond this point the mass spectrum is flat, which indicates that there are "missing" hadrons, that could potentially contribute significantly to experimental observables. In this thesis I investigate the influence of these "missing" Hagedorn states on various experimental signatures of QGP. Strangeness enhancement is considered a signal for QGP because hadronic interactions (even including multi-mesonic reactions) underpredict the hadronic yields (especially for strange particles) at the Relativistic Heavy Ion Collider, RHIC. One can conclude that the time scales to produce the required amount of hadronic yields are too long to allow for the hadrons to reach chemical equilibrium within the lifetime of a cooling hadronic fireball. Because gluon fusion can quickly produce strange quarks, it has been suggested that the hadrons are born into chemical equilibrium following the Quantum Chromodynamics (QCD) phase transition. However, we show here that the missing Hagedorn states provide extra degrees of freedom that can contribute to fast chemical equilibration times for a hadron gas. We develop a dynamical scheme in which possible Hagedorn states contribute to fast chemical equilibration times of X X pairs (where X = p, K, Lambda, or Omega) inside a hadron gas and just below the critical temperature. Within this scheme, we use master equations and derive various analytical estimates for the chemical equilibration times. Applying a Bjorken picture to the expanding fireball, the hadrons can, indeed, quickly chemically equilibrate for both an initial overpopulation or underpopulation of Hagedorn resonances. We compare the thermodynamic properties of our model to recent lattice results and find that for both critical temperatures, Tc = 176 MeV and Tc = 196 MeV, the hadrons can reach chemical equilibrium on very short time scales. Furthermore the ratios p/pi, K/pi , Lambda/pi, and Omega/pi match experimental values well in our dynamical scenario. The effects of the "missing" Hagedorn states are not limited to the chemical equilibration time. Many believe that the new state of matter formed at RHIC is the closet to a perfect fluid found in nature, which implies that it has a small shear viscosity to entropy density ratio close to the bound derived using the uncertainty principle. Our hadron resonance gas model, including the additional Hagedorn states, is used to obtain an upper bound on the shear viscosity to entropy density ratio, eta/s, of hadronic matter near Tc that is close to 1/(4pi). Furthermore, the large trace anomaly and the small speed of sound near Tc computed within this model agree well with recent lattice calculations. We also comment on the behavior of the bulk viscosity to entropy density ratio of hadronic matter close to the phase transition, which qualitatively has a different behavior close to Tc than a hadron gas model with only the known resonances. We show how the measured particle ratios can be used to provide non-trivial information about Tc of the QCD phase transition. This is obtained by including the effects of highly massive Hagedorn resonances on statistical models, which are generally used to describe hadronic yields. The inclusion of the "missing" Hagedorn states creates a dependence of the thermal fits on the Hagedorn temperature, TH , and leads to a slight overall improvement of thermal fits. We find that for Au+Au collisions at RHIC at sqrt{sN N} = 200 GeV the best square fit measure, chi^2 , occurs at TH = Tc = 176 MeV and produces a chemical freeze-out temperature of 172.6 MeV and a baryon chemical potential of 39.7 MeV.
The recent financial crisis has highlighted the limits of the “originate to distribute” model of banking, but its nexus with the macroeconomy and monetary policy remains unexplored. I build a DSGE model with banks (along the lines of Holmström and Tirole [28] and Parlour and Plantin [39] and examine its properties with and without active secondary markets for credit risk transfer. The possibility of transferring credit reduces the impact of liquidity shocks on bank balance sheets, but also reduces the bank incentive to monitor. As a result, secondary markets allow to release bank capital and exacerbate the effect of productivity and other macroeconomic shocks on output and inflation. By offering a possibility of capital recycling and by reducing bank monitoring, secondary credit markets in general equilibrium allow banks to take on more risk. Keywords: Credit Risk Transfer , Dual Moral Hazard , Monetary Policy , Liquidity , Welfare JEL Classification: E3, E5, G3 First Draft: December 2009, This Draft: September 2010
According to disposition effect theory, people hold losing investments too long. However, many investors eventually sell at a loss, and little is known about which psychological factors contribute to these capitulation decisions. This study integrates prospect theory, utility maximization theory, and theory on reference point adaptation to argue that the combination of a negative expectation about an investment’s future performance and a low level of adaptation to previous losses leads to a greater capitulation probability. The test of this hypothesis in a dynamic experimental setting reveals that a larger total loss and longer time spent in a losing position lead to downward adaptations of the reference point. Negative expectations about future investment performance lead to a greater capitulation probability. Consistent with the theoretical framework, empirical evidence supports the relevance of the interaction between adaptation and expectation as a determinant of capitulation decisions. Keywords: Investments , Adaptation , Reference Point , Capitulation , Selling Decisions , Disposition Effect , Financial Markets JEL Classification: D91, D03, D81
We investigate the incentives for vertical or horizontal integration in the financial security service industry, consisting of trading, clearing and settlement. We thereby focus on firms’ decisions but also look on the implications of these decisions on competition and welfare. Our analysis shows that the incentives for vertical integration crucially depend on industry as well as market characteristics. A more pronounced demand for liquidity clearly favors vertical integration whereas deeper financial integration increases the incentives to undertake vertical integration only if the efficiency gains associated with vertical integration are sufficiently large. Furthermore, we show that market forces can suffer from a coordination problem that end in vertically integrated structures that are not in the best interest of the firms. We believe this problem can be addressed by policy measures such as the TARGET2-Securities program. Furthermore, we use our framework to discuss major industry trends and policy initiatives. Keywords: Vertical Integration , Horizontal Integration , Competition , Trading , Settlement JEL Classification: G15, L13, L22
During the last decades households in the U.S. have experienced that residential house prices move in a persistent manner, i.e. that returns are positively serially correlated. Since an owner-occupied home is usually the largest investment of a household it is important to understand how households act when they base their consumption and investment decisions on this experience. We show in a setting with housing market cycles and households who can decide whether they rent or own the home, that - besides the consumption and the precautionary savings motive - serial correlation in house prices generates a new speculative motive for homeownership. In particular, we show how good and bad housing market cycles affect homeownership rates, leverage, stock investments and consumption and can explain empirically observed household behavior during housing market boom and bust periods. Keywords: Asset Allocation , Portfolio Choice , Housing Market Cycles , Real Estate JEL Classification: G11, D91
We test whether asymmetric preferences for losses versus gains as in Ang, Chen, and Xing (2006) also affect the pricing of cash flow versus discount rate news as in Campbell and Vuolteenaho (2004). We construct a new four-fold beta decomposition, distinguishing cash flow and discount rate betas in up and down markets. Using CRSP data over 1963–2008, we find that the downside cash flow beta and downside discount rate beta carry the largest premia. We subject our result to an extensive number of robustness checks. Overall, downside cash flow risk is priced most consistently across different samples, periods, and return decomposition methods, and is the only component of beta that has significant out-of-sample predictive ability. The downside cash flow risk premium is mainly attributable to small stocks. The risk premium for large stocks appears much more driven by a compensation for symmetric, cash flow related risk. Finally, we multiply our premia estimates by average betas to compute the contribution of the different risk components to realized average returns. We find that up and down discount rate components dominate the contribution to average returns of downside cash flow risk. Keywords: Asset Pricing, Beta, Downside Risk, Upside Risk, Cash Flow Risk, Discount Rate Risk JEL Classification: G11, G12, G14