The Human Connectome Project: A retrospective.

The Human Connectome Project (HCP) was launched in 2010 as an ambitious effort to accelerate advances in human neuroimaging, particularly for measures of brain connectivity; apply these advances to study a large number of healthy young adults; and freely share the data and tools with the scientific community. NIH awarded grants to two consortia; this retrospective focuses on the "WU-Minn-Ox" HCP consortium centered at Washington University, the University of Minnesota, and University of Oxford. In just over 6 years, the WU-Minn-Ox consortium succeeded in its core objectives by: 1) improving MR scanner hardware, pulse sequence design, and image reconstruction methods, 2) acquiring and analyzing multimodal MRI and MEG data of unprecedented quality together with behavioral measures from more than 1100 HCP participants, and 3) freely sharing the data (via the ConnectomeDB database) and associated analysis and visualization tools. To date, more than 27 Petabytes of data have been shared, and 1538 papers acknowledging HCP data use have been published. The "HCP-style" neuroimaging paradigm has emerged as a set of best-practice strategies for optimizing data acquisition and analysis. This article reviews the history of the HCP, including comments on key events and decisions associated with major project components. We discuss several scientific advances using HCP data, including improved cortical parcellations, analyses of connectivity based on functional and diffusion MRI, and analyses of brain-behavior relationships. We also touch upon our efforts to develop and share a variety of associated data processing and analysis tools along with detailed documentation, tutorials, and an educational course to train the next generation of neuroimagers. We conclude with a look forward at opportunities and challenges facing the human neuroimaging field from the perspective of the HCP consortium.

Drain Placement During Bariatric Surgery, Helpful or Harmful?

INTRODUCTION: Routine drain placement is still widely used in both sleeve gastrectomy (SG) and Roux en Y gastric bypass (REYGB). There is mounting evidence that drains may increase complication risk without preventing reoperation or other complications. METHODS: Data from 2017 Metabolic and Bariatric Surgery Accreditation and Quality Improvement Program (MBSAQIP) Participant Use File was evaluated for drain use during laparoscopic REYGB and SG. Primary outcomes were superficial and deep surgical site infections (SSI), reintervention/reoperation, and readmission. Preoperative patient risk factors were also compared to evaluate for association with drain placement. RESULTS: A total of 148 260 patients fit the inclusion criteria. Drains were used in 23 190 (15.6%) cases and not used in 125 070 (84.4%). Drain placement during surgery was associated with increased odds of superficial SSI, deep incisional SSI, and organ space SSI. Patients with drains were found to have increased odds of requiring at least 1 reoperation or intervention within 30 days of surgery. Preoperative risk factors associated with drain placement included diabetes mellitus, a history of chronic obstructive pulmonary disease, and oxygen dependence. Smokers were slightly less likely to have a drain placed. There was no significant association with chronic steroid and immunosuppressant usage. CONCLUSION: There is mounting data against drain placement during bariatric surgery. Prior studies using MBSAQIP data have shown an increased complication rate with drains, and our data set supports the idea that drains may increase complications after surgery. While no randomized prospective trials have been performed looking at drain usage in bariatric surgery, the growing retrospective data certainly inform against the regular use of drains.

Power Up for Health-Participants' Perspectives on an Adaptation of the National Diabetes Prevention Program to Engage Men.

The National Diabetes Prevention Program (NDPP) has been effectively translated to various community and clinical settings; however, regardless of setting, enrollment among men and lower-income populations is low. This study presents participant perspectives on Power Up for Health, a novel NDPP pilot adaption for men residing in low-income communities in New York City. We conducted nine interviews and one focus group with seven participants after the program ended. Interview and focus group participants had positive perceptions of the program and described the all-male aspect of the program and its reliance on male coaches as major strengths. Men felt the all-male adaptation allowed for more open, in-depth conversations on eating habits, weight loss, body image, and masculinity. Participants also reported increased knowledge and changes to their dietary and physical activity habits. Recommendations for improving the program included making the sessions more interactive by, for example, adding exercise or healthy cooking demonstrations. Overall, findings from the pilot suggest this NDPP adaptation was acceptable to men and facilitated behavior change and unique discussions that would likely not have occurred in a mixed-gender NDPP implementation.

ConnectomeDB--Sharing human brain connectivity data.

ConnectomeDB is a database for housing and disseminating data about human brain structure, function, and connectivity, along with associated behavioral and demographic data. It is the main archive and dissemination platform for data collected under the WU-Minn consortium Human Connectome Project. Additional connectome-style study data is and will be made available in the database under current and future projects, including the Connectome Coordination Facility. The database currently includes multiple modalities of magnetic resonance imaging (MRI) and magnetoencephalograpy (MEG) data along with associated behavioral data. MRI modalities include structural, task, resting state and diffusion. MEG modalities include resting state and task. Imaging data includes unprocessed, minimally preprocessed and analysis data. Imaging data and much of the behavioral data are publicly available, subject to acceptance of data use terms, while access to some sensitive behavioral data is restricted to qualified investigators under a more stringent set of terms. ConnectomeDB is the public side of the WU-Minn HCP database platform. As such, it is geared towards public distribution, with a web-based user interface designed to guide users to the optimal set of data for their needs and a robust backend mechanism based on the commercial Aspera fasp service to enable high speed downloads. HCP data is also available via direct shipment of hard drives and Amazon S3.

Human Connectome Project informatics: quality control, database services, and data visualization.

The Human Connectome Project (HCP) has developed protocols, standard operating and quality control procedures, and a suite of informatics tools to enable high throughput data collection, data sharing, automated data processing and analysis, and data mining and visualization. Quality control procedures include methods to maintain data collection consistency over time, to measure head motion, and to establish quantitative modality-specific overall quality assessments. Database services developed as customizations of the XNAT imaging informatics platform support both internal daily operations and open access data sharing. The Connectome Workbench visualization environment enables user interaction with HCP data and is increasingly integrated with the HCP's database services. Here we describe the current state of these procedures and tools and their application in the ongoing HCP study.

Informatics and data mining tools and strategies for the human connectome project.

The Human Connectome Project (HCP) is a major endeavor that will acquire and analyze connectivity data plus other neuroimaging, behavioral, and genetic data from 1,200 healthy adults. It will serve as a key resource for the neuroscience research community, enabling discoveries of how the brain is wired and how it functions in different individuals. To fulfill its potential, the HCP consortium is developing an informatics platform that will handle: (1) storage of primary and processed data, (2) systematic processing and analysis of the data, (3) open-access data-sharing, and (4) mining and exploration of the data. This informatics platform will include two primary components. ConnectomeDB will provide database services for storing and distributing the data, as well as data analysis pipelines. Connectome Workbench will provide visualization and exploration capabilities. The platform will be based on standard data formats and provide an open set of application programming interfaces (APIs) that will facilitate broad utilization of the data and integration of HCP services into a variety of external applications. Primary and processed data generated by the HCP will be openly shared with the scientific community, and the informatics platform will be available under an open source license. This paper describes the HCP informatics platform as currently envisioned and places it into the context of the overall HCP vision and agenda.

A comprehensive examination of the health knowledge, attitudes and behaviors of students attending historically black colleges and universities.

There is limited information about African American students attending Historically Black Colleges and Universities (HBCUs) in the areas of health behavior, health knowledge, and attitudes. To fill this gap, a comprehensive examination offirst-year students was undertaken at a consortium of HBCUs. A non-random sample of 1115 freshmen were administered a survey that assessed several domains including: (1) demographics, (2) general health, (3) smoking habits, (4) disease risk, (5) weight perception, (6) physical activity, (7) perceived stress, (8) eating habits, (9) social support, (10) personal/family medical history, (11) leadership, (12) domestic violence, (13) substance use, and (14) sexual behavior. In general, most students knew about health behaviors and disease risk. Areas that warrant further exploration include physical activity, sexual behavior, and drug use. The analyses provide key information for health education and prevention.

Parking lot security: protection from liability.

Negligent premises security cases, sometimes called "inadequate security", pose great harm to parking facility owners. Verdicts and settlements for negligent security against facilities is a concern, but a greater concern for those property owners engaged in parking lot services. In this article, the author presents some basic principles of security that all owners of parking facilities should not only understand, but embrace.

Hospital performance with myocardial reperfusion therapy: are hospitals capable of meeting established guidelines?

OBJECTIVES: To determine whether hospitals are capable of delivering myocardial reperfusion therapy in a manner consistent with the American College of Cardiology/American Heart Association guidelines. DATA SOURCE AND STUDY SETTING: Data from the National Registry of Myocardial Infarction (NRMI)-2 and NRMI-3 were used. NRMI is an observational study, sponsored by Genentech, conducted from June 1994 through June 2000 and involving 1876 hospitals and 1,310,030 patients across the United States. The protocol calls for collecting data on all patients with a diagnosis of acute myocardial infarction. The setting was community and tertiary hospitals in the United States. STUDY DESIGN: This observational study used process capability analysis. PRINCIPAL FINDINGS: Overall, no hospital was deemed capable of delivering myocardial reperfusion therapy consistent with the American College of Cardiology/American Heart Association guidelines. The highest thrombolytic and angioplasty CPUs were 0.44 and 0.52, respectively-well below the traditional value of 1.0 signifying minimum capability. In addition, among the hospitals examined, there remained a wide degree of variability in process capability, ranging from -0.69 to 0.52. CONCLUSIONS: Myocardial reperfusion therapy performance measurement systems relying solely on mean time-to-reperfusion conceal true process performance, thereby obscuring quality improvement opportunities and strategies for improvement. Health care providers, purchasers, regulators, and other organizations interested in measuring and improving health care quality are encouraged to incorporate process capability analysis into their myocardial reperfusion therapy performance measurement and quality management systems.

Monitoring pharmacy expert system performance using statistical process control methodology.

Automated expert systems provide a reliable and effective way to improve patient safety in a hospital environment. Their ability to analyze large amounts of data without fatigue is a decided advantage over clinicians who perform the same tasks. As dependence on expert systems increase and the systems become more complex, it is important to closely monitor their performance. Failure to generate alerts can jeopardize the health and safety of patients, while generating excessive false positive alerts can lead to valid alerts being dismissed as noise. In this study, statistical process control charts were used to monitor an expert system, and the strengths and weaknesses of this technology are presented.