To develop a fast, quantitative 3D magnetization transfer contrast (MTC) framework based on an unsupervised learning scheme, which will provide baseline reference signals for CEST and nuclear Overhauser enhancement imaging.
 
  Pseudo-randomized RF saturation parameters and relaxation delay times were applied in an MR fingerprinting framework to generate transient-state signal evolutions for different MTC parameters. Prospectively compressed sensing-accelerated (four-fold) MR fingerprinting images were acquired from 6 healthy volunteers at 3 T. A convolutional neural network framework in an unsupervised fashion was designed to solve an inverse problem of a two-pool MTC Bloch equation, and was compared with a conventional Bloch equation-based fitting approach. The MTC images synthesized by the convolutional neural network architecture were used for amide proton transfer and nuclear Overhauser enhancement imaging as a reference baseline image.
 
  The fully unsupervised learning scheme incorporated with the two-pool exchange model learned a set of unique features that can describe the MTC-MR fingerprinting input, and allowed only small amounts of unlabeled data for training. The MTC parameter values estimated by the unsupervised learning method were in excellent agreement with values estimated by the conventional Bloch fitting approach, but dramatically reduced computation time by ~1000-fold.
 
  Given the considerable time efficiency compared to conventional Bloch fitting, unsupervised learning-based MTC-MR fingerprinting could be a powerful tool for quantitative MTC and CEST/nuclear Overhauser enhancement imaging.
 Given the considerable time efficiency compared to conventional Bloch fitting, unsupervised learning-based MTC-MR fingerprinting could be a powerful tool for quantitative MTC and CEST/nuclear Overhauser enhancement imaging.
  In November 2019, several patients were diagnosed with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in Wuhan, China. So far, there are no specific treatments with proven high efficacy in patients with SARS-CoV-2.  https://www.selleckchem.com/products/VX-770.html  Presently, several drugs, such as hydroxychloroquine, ribavirin, favipiravir (FVP), lopinavir/ritonavir (LPV/r), remdesivir and oseltamivir, have been suggested as effective treatments for SARS-CoV-2. The aim of this study was to describe the clinical experience with FPV and LPV/r in critically ill patients with COVID-19 at Sakarya University Education and Research Hospital.
 
  The study included 107 consecutive patients who had a laboratory confirmation of COVID-19 and were admitted to the intensive care unit (ICU) between 19 March and 19 May 2020. Follow-up continued through 30 May 2020 when the last observed patients were discharged.
 
  Of the 107 patients, 65 received FPV (Group FPV) and 42 received LPV/r (Group LPV/r). The two groups were similar in terms of demographic data and CU.Individuals with hoarding disorder (HD) typically perform worse than peers on neuropsychological tasks involving visual perception. Functional neuroimaging shows diffusely increased activity in the visual cortex, consistent with inefficient visual processing in HD. The temporal locus of these inefficiencies in HD is unknown. This study examined the temporal unfolding of visual event-related brain potentials (ERPs) to help better define the neurophysiological mechanisms underlying visual dysfunction in HD. Thirty-three individuals with HD and 35 healthy controls (HC) were assessed using a 64-channel EEG during a modified flanker task. Permutation-controlled analyses were conducted to detect group differences in visual evoked ERPs on a millisecond-to-millisecond basis. Bayesian ANCOVAs and linear regressions that included hoarding and age were conducted to identify the best-fit model for the identified VEPs, compared to a null model that included depression and anxiety severity. Three temporal regions (175 ms, 270 ms, and 440 ms), showed differences in amplitude between HD and HC and were consistent with ERP components N1, P1/N2, and a late negative slow wave (LNSW), respectively. After controlling for depression and anxiety, HD demonstrated an enhanced ERP amplitude at N1 and an attenuated amplitude in LNSW compared to HC but did not show differences at P1/N2. For the N1 and LNSW, there was also a primary effect of the interaction between hoarding and age. This study indicates that altered visuocortical reactivity in HD first occurs at the level of visuocortical processing after 170 ms, indicating alterations of middle and later, but not early, processing in occipitotemporal visual cortex.Transcranial pulsed current stimulation (tPCS) of the human motor cortex has received much attention in recent years. Although the effect of anodal tPCS with different frequencies has been investigated, the effect of cathodal tPCS (c-tPCS) has not been explored yet. Therefore, the aim of the present study was to investigate the effect of c-tPCS at 4 and 75 Hz frequencies on corticospinal excitability (CSE) and motor performance. In a randomized sham-controlled crossover design, fifteen healthy participants attended three experimental sessions and received either c-tPCS at 75 Hz, 4 Hz or sham with 1.5 mA for 15 min. Transcranial magnetic stimulation and grooved pegboard test were performed before, immediately after and 30 min after the completion of stimulation at rest. The findings indicate that c-tPCS at both 4 and 75 Hz significantly increased CSE compared to sham. Both c-tPCS at 75 and 4 Hz showed a significant increase in intracortical facilitation compared to sham, whereas the effect on short-interval intracortical inhibition was not significant. The c-tPCS at 4 Hz but not 75 Hz induced modulation of intracortical facilitation correlated with the CSE. Motor performance did not show any significant changes. These results suggest that, compared with sham stimulation, c-tPCS at both 4 and 75 Hz induces an increase in CSE.Patients staying in the intensive care unit (ICU) require constant monitoring and numerous nursing interventions performed as needed, irrespective of daytime or night-time. The disturbing effect of nocturnal nursing interventions and their contribution to sleep disruptions are unclear. The review analysed nocturnal nursing interventions, and their character, frequency and effects on sleep quality. The databases CINAHL, PubMed and Scopus were searched to identify and subsequently evaluate 19 studies (1,531 patients) meeting the algorithm used. Although nocturnal nursing interventions provided to ICU patients were frequent and varied, they were responsible for only a minority of observed sleep disruptions. The most frequent nocturnal intervention was Vital signs monitoring (Nursing Interventions Classification, 6,680). Implementation of sleep protocols, of which an integral part is clustering and planning of nocturnal interventions, appears to be effective. The review suggests that nursing interventions are not the main cause of sleep disruptions in the ICU.