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Electroencephalography (EEG) represents a widely established method for assessing altered and typically developing brain function. However, systematic studies on EEG data quality, its correlates, and consequences are scarce. To address this research gap, the current study focused on the percentage of artifact-free segments after standard EEG pre-processing as a data quality index. We analyzed participant-related and methodological influences, and validity by replicating landmark EEG effects. Further, effects of data quality on spectral power analyses beyond participant-related characteristics were explored. EEG data from a multicenter ADHD-cohort (age range 6 to 45 years), and a non-ADHD school-age control group were analyzed (ntotal = 305). Resting-state data during eyes open, and eyes closed conditions, and task-related data during a cued Continuous Performance Task (CPT) were collected. After pre-processing, general linear models, and stepwise regression models were fitted to the data. We found that EEG data quality was strongly related to demographic characteristics, but not to methodological factors. We were able to replicate maturational, task, and ADHD effects reported in the EEG literature, establishing a link with EEG-landmark effects. Furthermore, we showed that poor data quality significantly increases spectral power beyond effects of maturation and symptom severity. Taken together, the current results indicate that with a careful design and systematic quality control, informative large-scale multicenter trials characterizing neurophysiological mechanisms in neurodevelopmental disorders across the lifespan are feasible. Nevertheless, results are restricted to the limitations reported. Future work will clarify predictive value.
How long does it take to emit an electron from an atom? This question has intrigued scientists for decades. As such emission times are in the attosecond regime, the advent of attosecond metrology using ultrashort and intense lasers has re-triggered strong interest on the topic from an experimental standpoint. Here, we present an approach to measure such emission delays, which does not require attosecond light pulses, and works without the presence of superimposed infrared laser fields. We instead extract the emission delay from the interference pattern generated as the emitted photoelectron is diffracted by the parent ion’s potential. Targeting core electrons in CO, we measured a 2d map of photoelectron emission delays in the molecular frame over a wide range of electron energies. The emission times depend drastically on the photoelectrons’ emission directions in the molecular frame and exhibit characteristic changes along the shape resonance of the molecule.
Nicotinamide adenine dinucleotide (NAD) serves as a cap-like structure on cellular RNAs (NAD-RNAs) in all domains of life including the bacterium Escherichia coli. NAD also acts as a key molecule in phage-host interactions, where bacterial immune systems deplete NAD to abort phage infection. Nevertheless, NAD-RNAs have not yet been identified during phage infections of bacteria and the mechanisms of their synthesis and degradation are unknown in this context. The T4 phage that specifically infects E. coli presents an important model to study phage infections, but a systematic analysis of the presence and dynamics of NAD-RNAs during T4 phage infection is lacking. Here, we investigate the presence of NAD-RNAs during T4 phage infection in a dual manner. By applying time-resolved NAD captureSeq, we identify NAD-capped host and phage transcripts and their dynamic regulation during phage infection. We provide evidence that NAD-RNAs are – as reported earlier – generated by the host RNA polymerase by initiating transcription with NAD at canonical transcription start sites. In addition, we characterize NudE.1 – a T4 phage-encoded Nudix hydrolase – as the first phage-encoded NAD-RNA decapping enzyme. T4 phages carrying inactive NudE.1 display a delayed lysis phenotype. This study investigates for the first time the dual epitranscriptome of a phage and its host, thereby introducing epitranscriptomics as an important field of phage research.