Eye tracking evidence for the reinstatement of emotionally negative and neutral memories.

Recent eye tracking studies have linked gaze reinstatement-when eye movements from encoding are reinstated during retrieval-with memory performance. In this study, we investigated whether gaze reinstatement is influenced by the affective salience of information stored in memory, using an adaptation of the emotion-induced memory trade-off paradigm. Participants learned word-scene pairs, where scenes were composed of negative or neutral objects located on the left or right side of neutral backgrounds.

RT-Cloud: A cloud-based software framework to simplify and standardize real-time fMRI.

Real-time fMRI (RT-fMRI) neurofeedback has been shown to be effective in treating neuropsychiatric disorders and holds tremendous promise for future breakthroughs, both with regard to basic science and clinical applications. However, the prevalence of its use has been hampered by computing hardware requirements, the complexity of setting up and running an experiment, and a lack of standards that would foster collaboration. To address these issues, we have developed RT-Cloud (https://github.

The "Narratives" fMRI dataset for evaluating models of naturalistic language comprehension.

The "Narratives" collection aggregates a variety of functional MRI datasets collected while human subjects listened to naturalistic spoken stories. The current release includes 345 subjects, 891 functional scans, and 27 diverse stories of varying duration totaling ~4.6 hours of unique stimuli (~43,000 words).

Brainhack: Developing a culture of open, inclusive, community-driven neuroscience.

Brainhack is an innovative meeting format that promotes scientific collaboration and education in an open, inclusive environment. This NeuroView describes the myriad benefits for participants and the research community and how Brainhacks complement conventional formats to augment scientific progress.

BrainIAK: The Brain Imaging Analysis Kit.

Functional magnetic resonance imaging (fMRI) offers a rich source of data for studying the neural basis of cognition. Here, we describe the Brain Imaging Analysis Kit (BrainIAK), an open-source, free Python package that provides computationally optimized solutions to key problems in advanced fMRI analysis. A variety of techniques are presently included in BrainIAK: intersubject correlation (ISC) and intersubject functional connectivity (ISFC), functional alignment via the shared response model (SRM), full correlation matrix analysis (FCMA), a Bayesian version of representational similarity analysis (BRSA), event segmentation using hidden Markov models, topographic factor analysis (TFA), inverted encoding models (IEMs), an fMRI data simulator that uses noise characteristics from real data (fmrisim), and some emerging methods.

Driving high-functioning clinical teams: An advanced practice registered nurse and physician assistant optimization initiative.

Background: Rapid changes in the health care marketplace are driving health care systems to modify operations by which the advanced practice registered nurse (APRN) and physician assistant (PA) clinicians serve patients. By identifying more effective and efficient utilization workflows, organizations can meet these demands resulting in high-functioning clinical teams.

Local Problem: With the growing number of APRNs and PAs within a large academic medical center, there was a recognized need to establish effective and efficient utilization practices for these health care providers.

Driving high-functioning clinical teams: An advanced practice registered nurse and PA optimization initiative.

Background: Rapid changes in the healthcare marketplace are driving healthcare systems to modify operations by which advanced practice registered nurses (APRNs) and physician assistants (PAs) serve patients. By identifying more effective and efficient utilization workflows, organizations can meet these demands, resulting in high-functioning clinical teams.

Local Problem: With the growing number of APRNs and PAs in a large academic medical center, there was a recognized need to establish effective and efficient utilization practices for these healthcare providers.

Targeted Memory Reactivation during Sleep Elicits Neural Signals Related to Learning Content.

Retrieval of learning-related neural activity patterns is thought to drive memory stabilization. However, finding reliable, noninvasive, content-specific indicators of memory retrieval remains a central challenge. Here, we attempted to decode the content of retrieved memories in the EEG during sleep.

Demonstrating advanced practice provider value: Implementing a new advanced practice provider billing algorithm.

Background: Rapid changes in health care are driving the adjustment of work flow by which providers serve patients in team-based care. Specifically, there is a need to develop more effective and efficient utilization with accurate attribution of advanced practice providers' (APPs) productivity.

Local Problem: The Directors of the APP-Best Practice Center conducted assessments of each clinical area at MUSC Health, a large academic medical center.

Demonstrating advanced practice provider value: Implementing a new advanced practice provider billing algorithm.

Background: Rapid changes in healthcare are driving the adjustment of work flow by which providers serve patients in team-based care. Specifically, there is a need to develop more effective and efficient utilization with accurate attribution of advanced practice providers' (APPs) productivity.

Local Problem: The directors of the APP-Best Practice Center conducted assessments of each clinical area at the Medical University of South Carolina (MUSC) Health, a large academic medical center.

Competitive learning modulates memory consolidation during sleep.

Competition between memories can cause weakening of those memories. Here we investigated memory competition during sleep in human participants by presenting auditory cues that had been linked to two distinct picture-location pairs during wake. We manipulated competition during learning by requiring participants to rehearse picture-location pairs associated with the same sound either competitively (choosing to rehearse one over the other, leading to greater competition) or separately; we hypothesized that greater competition during learning would lead to greater competition when memories were cued during sleep.

Reductions in Retrieval Competition Predict the Benefit of Repeated Testing.

Repeated testing leads to improved long-term memory retention compared to repeated study, but the mechanism underlying this improvement remains controversial. In this work, we test the hypothesis that retrieval practice benefits subsequent recall by reducing competition from related memories. This hypothesis implies that the degree of reduction in competition between retrieval practice attempts should predict subsequent memory for practiced items.

Awareness of cord blood collection and the impact on banking.

Background: Umbilical cord blood (UCB) is an important source of hematopoietic stem cells for transplantation especially in minority populations with limited chances of finding a histocompatible volunteer donor in the registry. UCB has the advantages of early availability, successful outcomes despite some histocompatibility mismatch, and low incidence of chronic graft-versus-host disease. Public cord blood banks that disseminate UCB products for transplant depend on voluntary donation at participating hospitals and obstetrical providers for collection.

Engineering Enhanced Vaccine Cell Lines To Eradicate Vaccine-Preventable Diseases: the Polio End Game.

Unlabelled: Vaccine manufacturing costs prevent a significant portion of the world's population from accessing protection from vaccine-preventable diseases. To enhance vaccine production at reduced costs, a genome-wide RNA interference (RNAi) screen was performed to identify gene knockdown events that enhanced poliovirus replication. Primary screen hits were validated in a Vero vaccine manufacturing cell line using attenuated and wild-type poliovirus strains.

Robotic-Assisted Thoracic Surgery for Early-Stage Lung Cancer: A Review.

This review evaluates the benefits and disadvantages associated with the use of robotic-assisted technology in performing lobectomies in patients with early-stage lung cancer. The author conducted a literature search of Ovid®, MEDLINE®, PubMed®, and CINAHL® for articles published from 2005 to 2013. Search criteria included key terms such as robot, robotic, robotic-assisted lobectomy, and lung cancer.

Developing a robotic program in thoracic surgery at Cape Cod Hospital.

This study aimed to elucidate the stepwise progression of robotic skills required, the natural progression from thoracoscopic to robotic technique with a focus on approaching the hilar structures, and the nuances of perioperative care, in a community hospital and solo surgeon practice. It was a case-control analysis comparing 22 consecutive robotic-assisted lobectomy (RAL) procedures with 22 matched historic video-assisted lobectomy (VAL) procedures from June 2011 to December 2012. Patients undergoing VAL had 1.

Developing a strategy to identify and treat older patients with postoperative delirium.

Postoperative delirium is one of the most common adverse outcomes in elderly patients undergoing surgery and is associated with increased morbidity, length of stay, and patient care costs. The purpose of this quality improvement project was to evaluate the effectiveness of a multicomponent strategy to identify and treat general surgical patients 65 years of age or older at risk for and who develop postoperative delirium at Cape Cod Hospital, a community hospital in southern New England. We evaluated 96 patients using the Mini-Cog assessment tool preoperatively and the Confusion Assessment Method (CAM) delirium screening tool or CAM-Intensive Care Unit (CAM-ICU) assessment tool postoperatively.

Identification of Host Kinase Genes Required for Influenza Virus Replication and the Regulatory Role of MicroRNAs.

Human protein kinases (HPKs) have profound effects on cellular responses. To better understand the role of HPKs and the signaling networks that influence influenza virus replication, a small interfering RNA (siRNA) screen of 720 HPKs was performed. From the screen, 17 HPKs (NPR2, MAP3K1, DYRK3, EPHA6, TPK1, PDK2, EXOSC10, NEK8, PLK4, SGK3, NEK3, PANK4, ITPKB, CDC2L5 (CDK13), CALM2, PKN3, and HK2) were validated as essential for A/WSN/33 influenza virus replication, and 6 HPKs (CDK13, HK2, NEK8, PANK4, PLK4 and SGK3) were identified as vital for both A/WSN/33 and A/New Caledonia/20/99 influenza virus replication.

Targeting organic anion transporter 3 with probenecid as a novel anti-influenza a virus strategy.

Influenza A virus infection is a major global health concern causing significant mortality, morbidity, and economic loss. Antiviral chemotherapeutics that target influenza A virus are available; however, rapid emergence of drug-resistant strains has been reported. Consequently, there is a burgeoning need to identify novel anti-influenza A drugs, particularly those that target host gene products required for virus replication, to reduce the likelihood of drug resistance.

Postoperative delirium in elderly patients.

Nearly 40% of all surgeries in the United States are performed on adults ages 65 and older. One of the most common surgical complications in this population is postoperative delirium, which is associated with extended lengths of stay, higher patient care costs, increased morbidity, and greater risk of death. This review evaluates risk factors for postoperative delirium in elderly patients, discusses screening and assessment instruments, and examines intervention strategies.

MicroRNA regulation of human protease genes essential for influenza virus replication.

Influenza A virus causes seasonal epidemics and periodic pandemics threatening the health of millions of people each year. Vaccination is an effective strategy for reducing morbidity and mortality, and in the absence of drug resistance, the efficacy of chemoprophylaxis is comparable to that of vaccines. However, the rapid emergence of drug resistance has emphasized the need for new drug targets.

Nebulized live-attenuated influenza vaccine provides protection in ferrets at a reduced dose.

Live-attenuated influenza vaccine (LAIV) is delivered to vaccine recipients using a nasal spray syringe. LAIV delivered by this method is immunogenic at current doses; however, improvements in nasal delivery might allow for significant dose reduction. We investigated LAIV vaccination in ferrets using a high efficiency nebulizer designed for nasal delivery.

Comparative pathology in ferrets infected with H1N1 influenza A viruses isolated from different hosts.

Virus replication and pulmonary disease pathogenesis in ferrets following intranasal infection with a pandemic influenza virus strain (A/California/4/09 [CA09]), a human seasonal influenza H1N1 virus isolate (A/New Caledonia/20/99 [Ncal99]), a classical swine influenza H1N1 virus isolate (A/Swine/Iowa/15/30 [Sw30]), or an avian H1N1 virus isolate (A/Mallard/MN/A108-2355/08 [Mal08]) were compared. Nasal wash virus titers were similar for Ncal99 and Sw30, with peak virus titers of 10(5.1) 50% tissue culture infectious doses (TCID(50))/ml and 10(5.

Aerosol inoculation with a sub-lethal influenza virus leads to exacerbated morbidity and pulmonary disease pathogenesis.

A mouse model has been extensively used to investigate disease intervention approaches and correlates of immunity following influenza virus infection. The majority of studies examining cross-reactive and protective immune responses have used intranasal (IN) virus inoculation; however, infectious aerosols are a common means of transmitting influenza in the human population. In this study, IN and aerosol routes of inoculation were compared and end-points of immunity and disease pathogenesis were evaluated in mice using mouse-adapted H3N2 A/Aichi/2/68 (x31).