Experimental investigations of the neurocortical information processing in patients with cleft lip and palate

Die vorliegende Arbeit beschäftigt sich mit dem Krankheitsbild der Lippen-Kiefer-Gaumenspalte und dessen Auswirkung auf die psychosoziale Gesundheit der Betroffenen. Konkret wurden LKGS-Patienten und gesunde Vergleichspersonen untersucht. Die Patienten wurden mittels Fragebögen und einer EEG-Messung auf Psychopathologien wie Angst und Depressionen sowie auf eine veränderte/erhöhte neurokortikale Aufmerksamkeitsbereitschaft hin untersucht. Es wurden bei beiden Gruppen keine Anzeichen für eine erhöhte Anfälligkeit für Psychopathologien gefunden. Auch eine gesteigerte neurokortikale Aufmerksamkeitsbereitschaft konnte nicht festgestellt werden.This publication deals with cleft lip palate and its effect on the psychosocial health of the patients. Patients with cleft lip and palate and healthy volunteers were investigated. They had to complete questionnaires and an eeg measurement was done. We tried to find increased levels of psychosocial pathologies such as anxiety and depression. Besides we tested if there was an increased neurocortical information processing in these patients. In both groups no psychosocial pathologies or an increased neurocortical information processing has been found

Sensitivity improvement of broadband electro-optic polymer-based optical phase modulator using 1D and 2D photonic crystal structures

International audienceThis Letter introduces the design and simulation of a microstrip-line-based electro-optic (EO) polymer optical phase modulator (PM) that is further enhanced by the addition of photonic crystal (PhC) structures that are in close proximity to the optical core. The slow-wave PhC structure is designed for two different material configurations and placed in the modulator as a superstrate to the optical core; simulation results are depicted for both 1D and 2D PhC structures. The PM characteristics are modeled using a combination of the finite element method and the optical beam propagation method in both the RF and optical domains, respectively. The phase-shift simulation results show a factor of 1.7 increase in an effective EO coefficient (120 pm/V) while maintaining a broadband bandwidth of 40 GHz

A guide to the BRAIN Initiative Cell Census Network data ecosystem

Characterizing cellular diversity at different levels of biological organization and across data modalities is a prerequisite to understanding the function of cell types in the brain. Classification of neurons is also essential to manipulate cell types in controlled ways and to understand their variation and vulnerability in brain disorders. The BRAIN Initiative Cell Census Network (BICCN) is an integrated network of data-generating centers, data archives, and data standards developers, with the goal of systematic multimodal brain cell type profiling and characterization. Emphasis of the BICCN is on the whole mouse brain with demonstration of prototype feasibility for human and nonhuman primate (NHP) brains. Here, we provide a guide to the cellular and spatial approaches employed by the BICCN, and to accessing and using these data and extensive resources, including the BRAIN Cell Data Center (BCDC), which serves to manage and integrate data across the ecosystem. We illustrate the power of the BICCN data ecosystem through vignettes highlighting several BICCN analysis and visualization tools. Finally, we present emerging standards that have been developed or adopted toward Findable, Accessible, Interoperable, and Reusable (FAIR) neuroscience. The combined BICCN ecosystem provides a comprehensive resource for the exploration and analysis of cell types in the brain