Evaluation of Denoising Strategies to Address Motion-Correlated Artifacts in Resting-State Functional Magnetic Resonance Imaging Data from the Human Connectome Project.

Like all resting-state functional connectivity data, the data from the Human Connectome Project (HCP) are adversely affected by structured noise artifacts arising from head motion and physiological processes. Functional connectivity estimates (Pearson's correlation coefficients) were inflated for high-motion time points and for high-motion participants. This inflation occurred across the brain, suggesting the presence of globally distributed artifacts. The degree of inflation was further increased for connections between nearby regions compared with distant regions, suggesting the presence of distance-dependent spatially specific artifacts. We evaluated several denoising methods: censoring high-motion time points, motion regression, the FMRIB independent component analysis-based X-noiseifier (FIX), and mean grayordinate time series regression (MGTR; as a proxy for global signal regression). The results suggest that FIX denoising reduced both types of artifacts, but left substantial global artifacts behind. MGTR significantly reduced global artifacts, but left substantial spatially specific artifacts behind. Censoring high-motion time points resulted in a small reduction of distance-dependent and global artifacts, eliminating neither type. All denoising strategies left differences between high- and low-motion participants, but only MGTR substantially reduced those differences. Ultimately, functional connectivity estimates from HCP data showed spatially specific and globally distributed artifacts, and the most effective approach to address both types of motion-correlated artifacts was a combination of FIX and MGTR.

Function in the human connectome: task-fMRI and individual differences in behavior.

The primary goal of the Human Connectome Project (HCP) is to delineate the typical patterns of structural and functional connectivity in the healthy adult human brain. However, we know that there are important individual differences in such patterns of connectivity, with evidence that this variability is associated with alterations in important cognitive and behavioral variables that affect real world function. The HCP data will be a critical stepping-off point for future studies that will examine how variation in human structural and functional connectivity play a role in adult and pediatric neurological and psychiatric disorders that account for a huge amount of public health resources. Thus, the HCP is collecting behavioral measures of a range of motor, sensory, cognitive and emotional processes that will delineate a core set of functions relevant to understanding the relationship between brain connectivity and human behavior. In addition, the HCP is using task-fMRI (tfMRI) to help delineate the relationships between individual differences in the neurobiological substrates of mental processing and both functional and structural connectivity, as well as to help characterize and validate the connectivity analyses to be conducted on the structural and functional connectivity data. This paper describes the logic and rationale behind the development of the behavioral, individual difference, and tfMRI batteries and provides preliminary data on the patterns of activation associated with each of the fMRI tasks, at both group and individual levels.

Third order cascaded Raman wavelength shifting in chalcogenide fibers and determination of Raman gain coefficient.

Cascaded Raman wavelength shifting up to three orders from 1553 nm to 1867 nm is demonstrated in As(2)S(3)-chalcogenide fibers. Due to a long zero dispersion wavelength for the sulfide fiber (>4.5 mum), pumping the fiber at 1553 nm results in generation of cascaded Stokes orders based on stimulated Raman scattering. Using the threshold power for the Raman orders, we estimate the Raman gain coefficient for the As(2)S(3) fibers to be ~5.7x10(-12) m/W at 1550 nm. Observation of higher Raman orders is limited by damage to the fiber at input intensities >1 GW/cm(2).

Before and after resident work hour limitations: an objective assessment of the well-being of surgical residents.

PURPOSE: To assess the impact of resident work hour limitations on how surgical residents feel about their training, patient care, and their overall well-being. METHODS: Three surveys were administered to 28 categorical surgery residents before and after implementation of the Accreditation Council on Graduate Medical Education (ACGME) work hour restrictions. The surveys consisted of a Beck Depression Inventory II (BDI-II), a SF-36 Health Status Profile (SF-36), and a custom 20-item Likert scale survey. The results of the surveys were then compiled to evaluate any significant changes in resident attitudes. RESULTS: Only minor differences were noted in the BDI-II and SF-36. The Likert scale survey showed no differences in attitude toward resident education, faculty interaction, operating room exposure, patient care, or continuity. Significant improvements were noted in the feelings of residents toward time for reading, rest, time with family, and socializing. CONCLUSIONS: Although a great deal of concern has existed about the impact of work hour limitations on surgery resident training, residents feel their training has not been affected significantly. Work hour restrictions have, however, had a positive impact on the lives of surgery residents outside of the hospital.