With the rapidly expanding catalogue of scientific publications, especially within the Biomedical Sciences field, it is becoming increasingly difficult for researchers to search for, read or even interpret emerging scientific findings. PubMed, just one of the current biomedical data repositories, comprises over 33 million citations for biomedical research, and over 2500 publications are added each day. To further strengthen the impact biomedical research, we suggest that there should be more synergy between publications and machines. By bringing machines into the realm (...) of research and publication, we can greatly augment the assessment, investigation and cataloging of the biomedical literary corpus. The effective application of machine-based manuscript assessment and interpretation is now crucial, and potentially stands as the most effective way for researchers to comprehend and process the tsunami of biomedical data and literature. Many biomedical manuscripts are currently published online in poorly searchable document types, with figures and data presented in formats that are partially inaccessible to machine-based approaches. The structure and format of biomedical manuscripts should be adapted to facilitate machine-assisted interrogation of this important literary corpus. In this context, it is important to embrace the concept that biomedical scientists should also write manuscripts that can be read by machines. It is likely that an enhanced human–machine synergy in reading biomedical publications will greatly enhance biomedical data retrieval and reveal novel insights into complex datasets. (shrink)

An EXACT reproduction from the original book BODY AND WILL: BEING AN ESSAY CONCERNING WILL IN ITS METAPHYSICAL, PHYSIOLOGICAL and PATHOLOGICAL ASPECTS by Henry Maudsley first published in 1884. This book may have occasional imperfections such as missing or blurred pages, poor pictures, errant marks, etc. that were either part of the original artifact, or were introduced by the scanning process. We believe this work is culturally important, and despite the imperfections, have elected to bring it back into print as (...) part of our continuing commitment to the preservation of printed works worldwide. We appreciate your understanding of the imperfections in the preservation process, and hope you enjoy this valuable book. (shrink)

Background: Magnetic resonance spectroscopic imaging is a neuroimaging technique that may be useful for non-invasive mapping of brain temperature over a large brain volume. To date, intra-subject reproducibility of MRSI-based brain temperature has not been investigated. The objective of this repeated measures MRSI-t study was to establish intra-subject reproducibility and repeatability of brain temperature, as well as typical brain temperature range.Methods: Healthy participants aged 23–46 years were scanned at two time points ~12-weeks apart. Volumetric MRSI data were processed by reconstructing (...) metabolite and water images using parametric spectral analysis. Brain temperature was derived using the frequency difference between water and creatine for 47 regions of interest delineated by the modified Automated Anatomical Labeling atlas. Reproducibility was measured using the coefficient of variation for repeated measures, and repeatability was determined using the standard error of measurement. For each region, the upper and lower bounds of Minimal Detectable Change were established to characterize the typical range of TCRE values.Results: The mean global brain temperature over all subjects was 37.2°C with spatial variations across ROIs. There was a significant main effect for time [F = 37.0, p < 0.0001] and for brain region [F = 2.66, p < 0.0001]. The time*brain region interaction was not significant [F = 0.80, p = 0.83]. Participants' TCRE was stable for each ROI across both time points, with ROIs' COVrep ranging from 0.81 to 3.08% ; majority of ROIs had a COVrep <2.0%.Conclusions: Brain temperature measurements were highly consistent between both time points, indicating high reproducibility and repeatability of MRSI-t. MRSI-t may be a promising diagnostic, prognostic, and therapeutic tool for non-invasively monitoring brain temperature changes in health and disease. However, further studies of healthy participants with larger sample size and numerous repeated acquisitions are imperative for establishing a reference range of typical brain TCRE, as well as the threshold above which TCRE is likely pathological. (shrink)