Improving the analysis of near-infrared spectroscopy data with multivariate classification of hemodynamic patterns: a theoretical formulation and validation

Objective. The statistical analysis of functional near infrared spectroscopy (fNIRS) data based on the general linear model (GLM) is often made difficult by serial correlations, high inter-subject variability of the hemodynamic response, and the presence of motion artifacts. In this work we propose to extract information on the pattern of hemodynamic activations without using any a priori model for the data, by classifying the channels as 'active' or 'not active' with a multivariate classifier based on linear discriminant analysis (LDA). Approach. This work is developed in two steps. First we compared the performance of the two analyses, using a synthetic approach in which simulated hemodynamic activations were combined with either simulated or real resting-state fNIRS data. This procedure allowed for exact quantification of the classification accuracies of GLM and LDA. In the case of real resting-state data, the correlations between classification accuracy and demographic characteristics were investigated by means of a Linear Mixed Model. In the second step, to further characterize the reliability of the newly proposed analysis method, we conducted an experiment in which participants had to perform a simple motor task and data were analyzed with the LDA-based classifier as well as with the standard GLM analysis. Main results. The results of the simulation study show that the LDA-based method achieves higher classification accuracies than the GLM analysis, and that the LDA results are more uniform across different subjects and, in contrast to the accuracies achieved by the GLM analysis, have no significant correlations with any of the demographic characteristics. Findings from the real-data experiment are consistent with the results of the real-plus-simulation study, in that the GLM-analysis results show greater inter-subject variability than do the corresponding LDA results. Significance. The results obtained suggest that the outcome of GLM analysis is highly vulnerable to violations of theoretical assumptions, and that therefore a data-driven approach such as that provided by the proposed LDA-based method is to be favored.EC/H2020/641858/EU/Understanding and predicting developmental language abilities and disorders in multilingual Europe/PREDICTABL

Search for neutrino-induced particle showers with IceCube-40

Das IceCube-Experiment sucht nach astrophysikalischen, hochenergetischen Neutrinos, von deren Entdeckung man sich Antworten auf die seit mehr als 100 Jahren offene Frage nach dem Ursprung der kosmischen Strahlung erhofft. Zu diesem Zweck wurde ein kubikkilometergroßes Volumen tief im Antarktischen Eisschild mit optischen Sensoren instrumentiert, um die in Neutrinowechselwirkungen entstandene Cherenkov-Strahlung nachzuweisen.Diese Dissertation beschreibt eine Suche nach neutrinoinduzierten Teilchenschauern in Daten, die von April 2008 bis Mai 2009 während der Konstruktionsphase von IceCube aufgezeichnet wurden. Zu dieser Zeit war etwa die Hälfte der endgültigen Detektoranordnung in Betrieb. Das Ziel der Arbeit war die Entdeckung astrophysikalischer Neutrinos mit der Maßgabe, gleichzeitig eine Sensitivität für Neutrinos terrestrischen Ursprungs aufrecht zu erhalten. Beide Sorten von Neutrinos müssen von einem vielfach größeren Untergrund von atmosphärischen Myonen isoliert werden. Die Suche nach Teilchenschauern im Detektor bietet sich hierfür an, da diese Signatur einer Neutrinowechselwirkung eine gute Energierekonstruktion ermöglicht und sich qualitativ von der Signatur des Myonuntergrunds unterscheidet. Eine robuste Abschätzung des Myonuntergrunds wurde mittels Luftschauersimulationen gewonnen. Methoden wurden entwickelt, um Neutrinos und Myonen voneinander zu unterscheiden. Zwei verschiedene Ereignisselektionen wurden erstellt. Die erste zielt mit einer Energieschwelle von 2 TeV auf die Messung atmosphärischer Neutrinos ab und fand einen geringen Überschuss an Ereignissen der quantitativ gut mit atmosphärischen Neutrinos erklärt werden kann, jedoch nicht signifikant genug ist, um einen rein myonischen Ursprung auszuschließen. Die zweite Selektion war mit einer Energieschwelle von 100 TeV für astrophysikalische Neutrinos optimiert. Der gefundene Überschuss ist kompatibel mit einer stringenteren Flussmessung, die mit dem fertiggestellten IceCube Detektor gelang.The IceCube experiment aims at the detection of an astrophysical high-energy neutrino flux from which answers are expected regarding the long standing question of the origin of cosmic rays. To this end, a cubic-kilometer volume deep in the glacial ice has been instrumented with digital optical sensors in order to record Cherenkov light emitted by charged secondary particles that are generated in neutrino interactions. This dissertation presents a search for neutrino-induced particle showers, also called cascades, in data taken between April 2008 and May 2009 during IceCube’s construction phase, when about 50% of the final configuration was deployed and operational. The goal of this analysis is the detection of the astrophysical diffuse neutrino flux while maintaining sensitivity to neutrinos originating from the Earth’s atmosphere. Both neutrino fluxes must be separated from a much more abundant background of muons created in cosmic-ray-induced air showers. Good energy reconstruction and a signature in the detector that is qualitatively different from the muon background make cascade searches very well-suited for this task. A robust estimate of this background has been obtained from air-shower simulations. Techniques were developed to isolate the neutrino flux from the atmospheric muon background. Two event selections were prepared. Firstly, a low-energy sample with an energy threshold of about 2 TeV aimed at the detection of atmospheric neutrinos. A small excess above atmospheric muons was found that can be explained well by atmospheric neutrinos but is not significant enough to rule out a muon-only hypothesis. Secondly, a high-energy sample with an energy threshold of about 100 TeV targeted astrophysical neutrinos. A 2.7 sigma excess over the expectation from atmospheric muons and neutrinos was found. It is compatible with ­more stringent flux estimates obtained by measurements with the completed IceCube detector

Recent results of a search for cosmogenic PeV to EeV neutrinos with IceCube

Two years of IceCube data recorded between May 2010 and April 2012 have been analyzed in a search for neutrinos generated by ultra-high energetic cosmic rays at PeV to EeV energies. Two events with energies of about 1-10 PeV pass all selection criteria. At such energies it is unlikely that these events originate from neutrinos generated within cosmic-ray air showers by the decay of secondary pions and kaons. The talk describes the analysis and discusses possible interpretations of the result