Rowebengtson0724

Magnetic resonance imaging and X-ray computed tomography provide the two principal methods available for imaging the brain at high spatial resolution, but these methods are not easily portable and cannot be applied safely to all patients. Ultrasound imaging is portable and universally safe, but existing modalities cannot image usefully inside the adult human skull. We use in silico simulations to demonstrate that full-waveform inversion, a computational technique originally developed in geophysics, is able to generate accurate three-dimensional images of the brain with sub-millimetre resolution. This approach overcomes the familiar problems of conventional ultrasound neuroimaging by using the following transcranial ultrasound that is not obscured by strong reflections from the skull, low frequencies that are readily transmitted with good signal-to-noise ratio, an accurate wave equation that properly accounts for the physics of wave propagation, and adaptive waveform inversion that is able to create an accurate model of the skull that then compensates properly for wavefront distortion. Laboratory ultrasound data, using ex vivo human skulls and in vivo transcranial signals, demonstrate that our computational experiments mimic the penetration and signal-to-noise ratios expected in clinical applications. This form of non-invasive neuroimaging has the potential for the rapid diagnosis of stroke and head trauma, and for the provision of routine monitoring of a wide range of neurological conditions. © The Author(s) 2020.Just-in-time adaptive interventions (JITAIs), typically smartphone apps, learn to deliver therapeutic content when users need it. The challenge is to "push" content at algorithmically chosen moments without making users trigger it with effortful input. We trained a randomForest algorithm to predict heroin craving, cocaine craving, or stress (reported via smartphone app 3x/day) 90 min into the future, using 16 weeks of field data from 189 outpatients being treated for opioid-use disorder. We used only one form of continuous input (along with person-level demographic data), collected passively an indicator of environmental exposures along the past 5 h of movement, as assessed by GPS. Our models achieved excellent overall accuracy-as high as 0.93 by the end of 16 weeks of tailoring-but this was driven mostly by correct predictions of absence. For predictions of presence, "believability" (positive predictive value, PPV) usually peaked in the high 0.70s toward the end of the 16 weeks. selleck chemicals When the prediction target was more rare, PPV was lower. Our findings complement those of other investigators who use machine learning with more broadly based "digital phenotyping" inputs to predict or detect mental and behavioral events. When target events are comparatively subtle, like stress or drug craving, accurate detection or prediction probably needs effortful input from users, not passive monitoring alone. We discuss ways in which accuracy is difficult to achieve or even assess, and warn that high overall accuracy (including high specificity) can mask the abundance of false alarms that low PPV reveals. © This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2020.The development of the human brain involves multiple cellular processes including cell division, migration, and dendritic growth. These processes are triggered by developmental cues and lead to interactions of neurons and glial cells to derive the final complex organization of the brain. Developmental cues are transduced into cellular processes through the action of multiple intracellular second messengers including calcium. Calcium signals in cells are shaped by large number of proteins and mutations in several of these have been reported in human patients with brain disorders.  However, the manner in which such mutations impact human brain development in vivo remains poorly understood. A key limitation in this regard is the need for a model system in which calcium signaling can be studied in neurons of patients with specific brain disorders. Here we describe a protocol to differentiate human neural stem cells into cortical neuronal networks that can be maintained as live cultures up to 120 days in a dish. Our protocol generates a 2D in vitro culture that exhibits molecular features of several layers of the human cerebral cortex. Using fluorescence imaging of intracellular calcium levels, we describe the development of neuronal activity as measured by intracellular calcium transients during development in vitro. These transients were dependent on the activity of voltage gated calcium channels and were abolished by blocking sodium channel activity. Using transcriptome analysis, we describe the full molecular composition of such cultures following differentiation in vitro thus offering an insight into the molecular basis of activity. Our approach will facilitate the understanding of calcium signaling defects during cortical neuron development in patients with specific brain disorders and a mechanistic analysis of these defects using genetic manipulations coupled with cell biological and physiological analysis. Copyright © 2020 Sharma Y et al.Background parkrun has been successful in encouraging people in England to participate in their weekly 5km running and walking events. However, there is substantial heterogeneity in parkrun participation across different communities in England after controlling for travel distances, deprived communities have significantly lower participation rates. Methods This paper expands on previous findings by investigating disparities in parkrun participation by ethnic density. We combined geo-spatial data available through the Office for National Statistics with participation data provided by parkrun, and fitted multivariable Poisson regression models to study the effect of ethnic density on participation rates at the Lower layer Super Output Level. Results We find that areas with higher ethnic density have lower participation rates. This effect is independent of deprivation. Conclusions An opportunity exists for parkrun to engage with these communities and reduce potential barriers to participation. Copyright © 2020 Smith R et al.