Refine
Year of publication
- 2018 (3256) (remove)
Document Type
- Article (1487)
- Part of Periodical (430)
- Book (274)
- Part of a Book (208)
- Doctoral Thesis (204)
- Contribution to a Periodical (195)
- Review (146)
- Working Paper (132)
- Preprint (75)
- Conference Proceeding (60)
Language
- English (1791)
- German (1353)
- Portuguese (35)
- Spanish (18)
- French (17)
- Multiple languages (17)
- Turkish (13)
- Italian (6)
- Ukrainian (2)
- Hebrew (1)
Is part of the Bibliography
- no (3256)
Keywords
- taxonomy (61)
- Geschichte (52)
- Begriff (51)
- Deutsch (48)
- new species (38)
- Literatur (34)
- Übersetzung (20)
- Financial Institutions (17)
- Fremdsprachenunterricht (17)
- Vormärz (16)
Institute
- Medizin (520)
- Präsidium (305)
- Physik (224)
- Wirtschaftswissenschaften (180)
- Sustainable Architecture for Finance in Europe (SAFE) (129)
- Gesellschaftswissenschaften (117)
- Biowissenschaften (106)
- Center for Financial Studies (CFS) (102)
- Frankfurt Institute for Advanced Studies (FIAS) (97)
- Neuere Philologien (89)
Operating in a reverberating regime enables rapid tuning of network states to task requirements
(2018)
Neural circuits are able to perform computations under very diverse conditions and requirements. The required computations impose clear constraints on their fine-tuning: a rapid and maximally informative response to stimuli in general requires decorrelated baseline neural activity. Such network dynamics is known as asynchronous-irregular. In contrast, spatio-temporal integration of information requires maintenance and transfer of stimulus information over extended time periods. This can be realized at criticality, a phase transition where correlations, sensitivity and integration time diverge. Being able to flexibly switch, or even combine the above properties in a task-dependent manner would present a clear functional advantage. We propose that cortex operates in a "reverberating regime" because it is particularly favorable for ready adaptation of computational properties to context and task. This reverberating regime enables cortical networks to interpolate between the asynchronous-irregular and the critical state by small changes in effective synaptic strength or excitation-inhibition ratio. These changes directly adapt computational properties, including sensitivity, amplification, integration time and correlation length within the local network. We review recent converging evidence that cortex in vivo operates in the reverberating regime, and that various cortical areas have adapted their integration times to processing requirements. In addition, we propose that neuromodulation enables a fine-tuning of the network, so that local circuits can either decorrelate or integrate, and quench or maintain their input depending on task. We argue that this task-dependent tuning, which we call "dynamic adaptive computation," presents a central organization principle of cortical networks and discuss first experimental evidence.
Background: Tick-borne encephalitis (TBE) is endemic in southern and eastern districts of Germany. Approximately 10–14% of the infected individuals suffer from long-term disability and in 1.5–3.6% the course is fatal. Two well-tolerated vaccines are available, which provide high protection and which have been confirmed in several field studies. Here we investigate clinical course, long-term outcome and cerebrospinal fluid (CSF) characteristics of TBE cases with a prior history of any vaccination as well as real vaccination breakthrough (VBT).
Methods: A case series of 11 patients with a prior history of vaccination, part of a recently published lager cohort of 111 TBE cases. Evaluation included clinical data, degree of disability (modified RANKIN scale, mRS) and analysis of CSF and serum samples. Furthermore, metadata for extended analysis on clinical outcome of TBE with VBT were analysed.
Results: One patient had a clear VBT and ten of them had irregular vaccinations schedules (IVS). Infection severity did not differ in patients with IVS as compared to a non-vaccinated control cohort (median mRS: both 3.0) but these patients showed a stronger cellular immune response as measured by CSF pleocytosis (IVS, 205 cells/μL versus non-vaccinated control, 114 cell/μL, P < 0.05) and by differential pattern of CSF (intrathecal) immunoglobulin synthesis. However, shift analysis of VBT metadata using linear-by-linear association revealed a more serious course of TBE in patients with VBT than in a non-vaccinated control cohort (χ2 = 9.95, P = 0.002). Furthermore, ordinal logistic regression analysis showed that VBT patients had an age-corrected, 2.65 fold (CI: 1.110–6.328; χ2 = 4.813; p = 0.028) significant higher risk to suffer from moderate or severe infections, respectively.
Conclusion: A history of IVS surprisingly seems to have no impact on the clinical course of TBE but may leave marks in the specific brain immune response. VBT patients, however, carry an age-independent, significant risk to experience a severe infection.
Frankfurt am Main ist neben seiner bekannten Bedeutung als Verkehrsdrehkreuz, Messestandort und Finanzplatz auch einer der bedeutendsten Wissenschaftsstandorte in Deutschland. Hier befinden sich Max-Planck-Institute, Forschungseinrichtungen der Leibniz-Gemeinschaft, die Deutsche Nationalbibliothek, Museen von internationalem Rang und mehrere Hochschulen und Exzellenz-Cluster.
Entlang des nördlichen Teils des Alleenrings der Stadt liegen der Campus Westend der Goethe-Universität, die Frankfurt School of Finance & Management, die Frankfurt University of Applied Sciences und die Deutsche Nationalbibliothek. Der Bereich soll in Zukunft die CAMPUSMEILE bilden und damit die große Wissenschaftsachse Frankfurts und der Region. Nach dem Vorbild des Frankfurter Museumsufers zielt sie darauf ab, die Institutionen zu vernetzen und dem Ring eine räumliche Identität zu geben. ...
The identification of pathological atrophy in MRI scans requires specialized training, which is scarce outside dedicated centers. We sought to investigate the clinical usefulness of computer-generated representations of local grey matter (GM) loss or increased volume of cerebral fluids (CSF) as normalized deviations (z-scores) from healthy aging to either aid human visual readings or directly detect pathological atrophy.
Two experienced neuroradiologists rated atrophy in 30 patients with Alzheimer's disease (AD), 30 patients with frontotemporal dementia (FTD), 30 with dementia due to Lewy-body disease (LBD) and 30 healthy controls (HC) on a three-point scale in 10 anatomical regions as reference gold standard. Seven raters, varying in their experience with MRI diagnostics rated all cases on the same scale once with and once without computer-generated volume deviation maps that were overlaid on anatomical slices. In addition, we investigated the predictive value of the computer generated deviation maps on their own for the detection of atrophy as identified by the gold standard raters.
Inter and intra-rater agreements of the two gold standard raters were substantial (Cohen's kappa κ > 0.62). The intra-rater agreement of the other raters ranged from fair (κ = 0.37) to substantial (κ = 0.72) and improved on average by 0.13 (0.57 < κ < 0.87) when volume deviation maps were displayed. The seven other raters showed good agreement with the gold standard in regions including the hippocampus but agreement was substantially lower in e.g. the parietal cortex and did not improve with the display of atrophy scores. Rating speed increased over the course of the study and irrespective of the presentation of voxel-wise deviations.
Automatically detected large deviations of local volume were consistently associated with gold standard atrophy reading as shown by an area under the receiver operator characteristic of up to 0.95 for the hippocampus region. When applying these test characteristics to prevalences typically found in a memory clinic, we observed a positive or negative predictive value close to or above 0.9 in the hippocampus for almost all of the expected cases. The volume deviation maps derived from CSF volume increase were generally better in detecting atrophy.
Our study demonstrates an agreement of visual ratings among non-experts not further increased by displaying, region-specific deviations of volume. The high predictive value of computer generated local deviations independent from human interaction and the consistent advantages of CSF-over GM-based estimations should be considered in the development of diagnostic tools and indicate clinical utility well beyond aiding visual assessments.
Mitochondrial complex I has a key role in cellular energy metabolism, generating a major portion of the proton motive force that drives aerobic ATP synthesis. The hydrophilic arm of the L-shaped ~1 MDa membrane protein complex transfers electrons from NADH to ubiquinone, providing the energy to drive proton pumping at distant sites in the membrane arm. The critical steps of energy conversion are associated with the redox chemistry of ubiquinone. We report the cryo-EM structure of complete mitochondrial complex I from the aerobic yeast Yarrowia lipolytica both in the deactive form and after capturing the enzyme during steady-state activity. The site of ubiquinone binding observed during turnover supports a two-state stabilization change mechanism for complex I.
RNA not only translates the genetic code into proteins, but also carries out important cellular functions. Understanding such functions requires knowledge of the structure and dynamics at atomic resolution. Almost half of the published RNA structures have been solved by nuclear magnetic resonance (NMR). However, as a result of severe resonance overlap and low proton density, high-resolution RNA structures are rarely obtained from nuclear Overhauser enhancement (NOE) data alone. Instead, additional semi-empirical restraints and labor-intensive techniques are required for structural averages, while there are only a few experimentally derived ensembles representing dynamics. Here we show that our exact NOE (eNOE) based structure determination protocol is able to define a 14-mer UUCG tetraloop structure at high resolution without other restraints. Additionally, we use eNOEs to calculate a two-state structure, which samples its conformational space. The protocol may open an avenue to obtain high-resolution structures of small RNA of unprecedented accuracy with moderate experimental efforts.
Loss-of-function mutations of progranulin are associated with frontotemporal dementia in humans, and its deficiency in mice is a model for this disease but with normal life expectancy and mild cognitive decline on aging. The present study shows that aging progranulin deficient mice develop progressive polydipsia and polyuria under standard housing conditions starting at middle age (6-9 months). They showed high water licking behavior and doubling of the normal daily drinking volume, associated with increased daily urine output and a decrease of urine osmolality, all maintained during water restriction. Creatinine clearance, urine urea, urine albumin and glucose were normal. Hence, there were no signs of osmotic diuresis or overt renal disease, other than a concentrating defect. In line, the kidney morphology and histology revealed a 50% increase of the kidney weight, kidney enlargement, mild infiltrations of the medulla with pro-inflammatory cells, widening of tubules but no overt signs of a glomerular or tubular pathology. Plasma vasopressin levels were on average about 3-fold higher than normal levels, suggesting that the water loss resulted from unresponsiveness of the collecting tubules towards vasopressin, and indeed aquaporin-2 immunofluorescence in collecting tubules was diminished, whereas renal and hypothalamic vasopressin were increased, the latter in spite of substantial astrogliosis in the hypothalamus. The data suggest that progranulin deficiency causes nephrogenic diabetes insipidus in mice during aging. Possibly, polydipsia in affected patients - eventually interpreted as psychogenic polydipsia - may point to a similar concentrating defect.
Gegenstand dieser Dissertation war das Ermitteln der Verbesserung der peroralen Bioverfügbarkeit Fenofibrat (FFB) durch lipid-basierte Formulierung (LBF). Eine weitere Aufgabe bestand darin, verschiedene analytische Methoden zur Bewertung der Verbesserung der oralen Bioverfügbarkeit von Fenofibrat einzusetzen. Diese schlossen in vitro biorelevante Löslichkeits-, Dispersions-, Auflösungs- und Präzipitationstests ein. Auf Basis der analytischen Ergebnisse wurden dann PBPK-Modelle verwendet, um menschliche Plasmaprofile nach der Verabreichung der FFB-Formulierungen zu simulieren. Die daraus resultierenden in silico-Vorhersagen stimmten mit den in vivo-Beobachtungen überein. Durch Anwendung der Parametersensitivitätsanalyse war es weiterhin möglich, ein mechanistisches Verständnis der beteiligten geschwindigkeitsbegrenzenden Schritte zu erreichen.
Formulierungen auf Lipidbasis können nach dem Pouton-Klassifizierungssytem eingeteilt werden. Typ I Formulierungen bestehen ausschließlich aus Ölen, während am anderen Ende der Skala die Typ IV Formulierung weitestgehend aus Tensiden ist. In dieser Arbeit wurden in erster Linie Lipidformulierungen Typ IIIA und Typ IIIB untersucht.
Es wurde gezeigt, dass Dispersionstests an FFB-Lipidformulierungen am besten unter Verwendung der USP 3-Apparatur durchgeführt werden, da in diesem Apparat die GI-Motilität in vivo am besten reflektiert wird. Um die Hydrodynamik in verschiedenen Auflösungsapparaten zu vergleichen, wurde der Auflösungsversuch von LBF Nr. 1 – Nr. 4 von FFB auch unter Verwendung von USP 2 durchgeführt. Ungeachtet von kompendialen oder biorelevanten Medien führten die meisten dieser Lipidformulierungen zur Auflösung eines Großteils des beladenen Medikaments, im Gegensatz zum unformulierten Fenofibrat, das sich in nüchternem Zustand kaum auflöst. Weiter zeigten die Transfermodellexperimente an den Lipidformulierungen von FFB, dass eine intestinale Präzipitation nach einer Magenauflösung unwahrscheinlich ist.
Durch mathematische Transformation der Noyes-Whitney-Gleichung kann ein Excel-Toolkit zur Berechnung des z-Werts aus in-vitro-Auflösungsprofilen verwendet werden. Die z-Werte werden dann in physiologisch-basierte pharmakokinetische in silico Modelle, STELLA® und Simcyp®, eingesetzt. Anhand der erforderlichen post-absorptiven Parameter kann mithilfe dieser Modelle die Plasma-Arzneistoff-Konzentration nach oraler Verabreichung von verschiedenen Formulierungen vorhergesagt werden. Darüber hinaus ermöglicht der Simcyp®-Simulator eine Reihe von virtuellen Versuchen, die PK-Variabilität vom Wirkstoff in verschiedenen Bevölkerungsgruppen zu bestimmen. Um diese Möglichkeiten für LBF von Fenofibrat zu testen, wurde LBF Nr. 4 modelliert. Das Simulationsergebnis von Simcyp® entsprach dem aus der STELLA®-Software. Weiterhin wurden die Plasmafenofibrinsäure-Konzentrationsprofile von den Modellen genau vorhergesagt. Die Punktschätzwerte für Cmax und AUC, berechnet aus den In-silico und in vivo Plasmaprofilen, lagen sogar im Bereich von 0,8-1,25 für die SMEDDS Lösung und Kapselformulierungen. Diese Übereinstimmung von in vitro-in silico mit in vivo wurde weiterhin durch Berechnung der jeweiligen f2 Faktoren unterstützt.
Basierend auf diesen Ergebnissen scheint es, dass der In-vitro-In-Silico-In-vivo-Ansatz ein nützliches Werkzeug zum Identifizieren und Vergleichen von Beschränkungen der oralen Absorption für Formulierungen auf Lipidbasis und zum Optimieren der Lipidformulierungsentwicklung von schlecht löslichen Arzneimitteln darstellt.