1,234 research outputs found

    Dynamic filtering of static dipoles in magnetoencephalography

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    We consider the problem of estimating neural activity from measurements of the magnetic fields recorded by magnetoencephalography. We exploit the temporal structure of the problem and model the neural current as a collection of evolving current dipoles, which appear and disappear, but whose locations are constant throughout their lifetime. This fully reflects the physiological interpretation of the model. In order to conduct inference under this proposed model, it was necessary to develop an algorithm based around state-of-the-art sequential Monte Carlo methods employing carefully designed importance distributions. Previous work employed a bootstrap filter and an artificial dynamic structure where dipoles performed a random walk in space, yielding nonphysical artefacts in the reconstructions; such artefacts are not observed when using the proposed model. The algorithm is validated with simulated data, in which it provided an average localisation error which is approximately half that of the bootstrap filter. An application to complex real data derived from a somatosensory experiment is presented. Assessment of model fit via marginal likelihood showed a clear preference for the proposed model and the associated reconstructions show better localisation

    Experimental evaluation of the generalized vibrational theory of G protein-coupled receptor activation

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    Herein, we test the present iteration of the vibrational theory of protein activation by comparing predictions obtained from Turin’s vibrational theory for the activation of olfactory receptors measuring affinity and activation at a nonolfactory receptor family of G protein-coupled receptors. This was done at the CNS serotonin receptor family h5-HT2 and with both the 2,5-dimethoxy-4-iodoamphetamine and N,N-dimethyllysergamide agonists. Invalidation was performed through a comparative analysis of agonist behavior between isotopologues

    Fast and powerful heritability inference for family-based neuroimaging studies.

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    Heritability estimation has become an important tool for imaging genetics studies. The large number of voxel- and vertex-wise measurements in imaging genetics studies presents a challenge both in terms of computational intensity and the need to account for elevated false positive risk because of the multiple testing problem. There is a gap in existing tools, as standard neuroimaging software cannot estimate heritability, and yet standard quantitative genetics tools cannot provide essential neuroimaging inferences, like family-wise error corrected voxel-wise or cluster-wise P-values. Moreover, available heritability tools rely on P-values that can be inaccurate with usual parametric inference methods. In this work we develop fast estimation and inference procedures for voxel-wise heritability, drawing on recent methodological results that simplify heritability likelihood computations (Blangero et al., 2013). We review the family of score and Wald tests and propose novel inference methods based on explained sum of squares of an auxiliary linear model. To address problems with inaccuracies with the standard results used to find P-values, we propose four different permutation schemes to allow semi-parametric inference (parametric likelihood-based estimation, non-parametric sampling distribution). In total, we evaluate 5 different significance tests for heritability, with either asymptotic parametric or permutation-based P-value computations. We identify a number of tests that are both computationally efficient and powerful, making them ideal candidates for heritability studies in the massive data setting. We illustrate our method on fractional anisotropy measures in 859 subjects from the Genetics of Brain Structure study

    Cell and molecular transitions during efficient dedifferentiation

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    Dedifferentiation is a critical response to tissue damage, yet is not well understood, even at a basic phenomenological level. Developing Dictyostelium cells undergo highly efficient dedifferentiation, completed by most cells within 24 hr. We use this rapid response to investigate the control features of dedifferentiation, combining single cell imaging with high temporal resolution transcriptomics. Gene expression during dedifferentiation was predominantly a simple reversal of developmental changes, with expression changes not following this pattern primarily associated with ribosome biogenesis. Mutation of genes induced early in dedifferentiation did not strongly perturb the reversal of development. This apparent robustness may arise from adaptability of cells: the relative temporal ordering of cell and molecular events was not absolute, suggesting cell programmes reach the same end using different mechanisms. In addition, although cells start from different fates, they rapidly converged on a single expression trajectory. These regulatory features may contribute to dedifferentiation responses during regeneration

    Maine’s Winter Roads: Salt, Safety, Environment and Cost

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    This report summarizes key findings from a yearlong study of the issues and practices in winter maintenance of Maine’s roads

    Anti-Lu14: A Lutheran Antibody Defining the Product of an Allele at the Lu8 Blood Group Locus 1

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    A ‘new’ Lutheran-related antibody, named anti-Lu14, reacts with approximately 2.4% of random bloods. Red cells of the rare Lu:-8 phenotype are Lu:14. The data indicate, with a high probability, that the Lu 14 antigen is a product of an allele of Lu 8 and that Lu 14 and Lu 8 comprise a third pair of alleles at the Lutheran locus. Red cells of the original Sw (a+) propositus are Lu:14. By coincidence, he has inherited two low-incidence genes. This observation may explain the discrepancy in different families concerning a possible relationship between Sw a and Lutheran. Pedigree information now suggests that Sw a is not a Lutheran gene.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/75055/1/j.1423-0410.1977.tb00632.x.pd

    Modelling the penumbra in computed tomography

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    Background: In computed tomography (CT), the spot geometry is one of the main sources of error in CT images. Since X-rays do not arise from a point source, artefacts are produced. In particular there is a penumbra effect, leading to poorly defined edges within a reconstructed volume. Penumbra models can be simulated given a fixed spot geometry and the known experimental setup. Objective: This paper proposes to use a penumbra model, derived from Beer’s law, both to confirm spot geometry from penumbra data, and to quantify blurring in the image. Methods: Two models for the spot geometry are considered; one consists of a single Gaussian spot, the other is a mixture model consisting of a Gaussian spot together with a larger uniform spot. Results: The model consisting of a single Gaussian spot has a poor fit at the boundary. The mixture model (which adds a larger uniform spot) exhibits a much improved fit. The parameters corresponding to the uniform spot are similar across all powers, and further experiments suggest that the uniform spot produces only soft X-rays of relatively low-energy. Conclusions: Thus, the precision of radiographs can be estimated from the penumbra effect in the image. The use of a thin copper filter reduces the size of the effective penumbra

    Round-headed Bairdiella chrysura

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    5 p. : ill. ; 24 cm.Includes bibliographical references

    1924-25: Abilene Christian College Bible Lectures - Full Text

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    PREFACE The lectures in this volume were delivered in the auditorium of Abilene Christian College during the last week of February in 1924 and 1925. Not all of the lectures delivered during these two weeks are given here, some of those delivering lectures not having responded with their manuscripts. These are given to the public in the belief that the splendid sermons delivered here ought to be read by thousands of Christians who did not have the opportunity of hearing them. Many of those who heard them will desire to read them. May this contribution to the literature of Christian teaching from the minds of some of our best and most faithful laborers in the Master’s vineyard be a continued blessing to all whose lives they touch. BATSELL BAXTER. __________________ PUBLISHER’S ANNOUNCEMENT This volume of Abilene Christian College Lectures is the fourth and comprises the lectures for February 1924 and 1925. The lectures for 1919 were published in one volume, 1920 and 1921 were combined in one volume, as were also the lectures for 1922 and 1923. By putting the lectures for two years in one volume, the reader is saved the expense of an additional book in order to receive the full benefit of these lectures. That these discourses are of great value is recognized by thousands who have heard them orally or have read them on the printed page. Such carefully prepared addresses really and truly merit a permanent place in the literature of the brotherhood of the churches of Christ. They are filled with expositions and analyses of much benefit to younger brethren who are entering upon lines of public service for the church, and they contain instruction on the word of God that is of much value to those out of the church as well as those in the church. The four books comprising the Abilene Christian College Lectures will make a most valuable addition to all libraries. We are at this time, January, 1926, in position to furnish complete sets or any volume to complete any broken set that any of our readers may have. When our present supply is gone, the books will probably not be reprinted as no plates have been made, and the books will be scarce. The messages of hope and love contained in this volume will find their place into the homes of many thousands, and it is to be ardently hoped that they will be read attentively and that they may contribute much to the extension of the power and kingdom of our Lord and Savior Jesus Christ. G. II. P. SHOWALTER. Austin, Texas, January 1, 1926
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