1,720,993 research outputs found

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Performance prediction in a visuo-motor task: the contribution of EEG analysis

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    Brain state in the time preceding the task affects motor performance at single trial level. Aim of the study was to investigate, through a single trial analysis of the Power Spectral Density (PSD) of the cortical sources of EEG rhythms, whether there are EEG markers, which can predict trial-by-trial the subject's performance as measured by the reaction time (RT). 20 healthy adult volunteers performed a specific visuomotor task while continuously recorded with a 64 electrodes EEG. For each single trial, the PSD of the cortical sources of EEG rhythms was obtained from EEG data to cortical current density time series in 12 regions of interest at Brodmann areas level. Results showed a statistically significant increase of posterior and limbic alpha 1 and of frontal beta 2 power, and a reduction of frontal and limbic delta and of temporal alpha 1 power, during triggering stimulus presentation for better performance, namely faster responses. At single trial level, correlation analyses between RTs and significant PSD, revealed positive correlations in frontal delta, temporal alpha 1, and limbic delta bands, and negative ones in frontal beta 2, parietal alpha 1, and occipital alpha 1 bands. Furthermore, the subject’s faster responses have been found as correlated with the similarity between the PSD values in parietal and occipital alpha 1. Predicting individual's performance at single trial level, might be extremely useful in the clinical context, since it could allow to launch rehabilitative therapies in the most efficient brain state, avoiding useless interventions

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Human brain networks: a graph theoretical analysis of cortical connectivity normative database from EEG data in healthy elderly subjects

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    Moving from the hypothesis that aging processes modulate brain connectivity networks, 170 healthy elderly volunteers were submitted to EEG recordings in order to define age-related normative limits. Graph theory functions were applied to exact low-resolution electromagnetic tomography on cortical sources in order to evaluate the small-world parameter as a representative model of network architecture. The analyses were carried out in the whole brain—as well as for the left and the right hemispheres separately—and in three specific resting state subnetworks defined as follows: attentional network (AN), frontal network (FN), and default mode network (DMN) in the EEG frequency bands (delta, theta, alpha 1, alpha 2, beta 1, beta 2, gamma). To evaluate the stability of the investigated parameters, a subgroup of 32 subjects underwent three separate EEG recording sessions in identical environmental conditions after a few days interval. Results showed that the whole right/left hemispheric evaluation did not present side differences, but when individual subnetworks were considered, AN and DMN presented in general higher SW in low (delta and/or theta) and high (gamma) frequency bands in the left hemisphere, while for FN, the alpha 1 band was lower in the left with respect to the right hemisphere. It was also evident the test-retest reliability and reproducibility of the present methodology when carried out in clinically stable subjects. Evidences from the present study suggest that graph theory represents a reliable method to address brain connectivity patterns from EEG data and is particularly suitable to study the physiological impact of aging on brain functional connectivity networks

    Determinants of disability in multiple sclerosis at various disease stages: A multiparametric magnetic resonance study.

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    Objective: To investigate whether diffusion-tensor magnetic resonance imaging and whole brain N-acetylaspartate (WBNAA) proton magnetic resonance spectroscopy can provide complementary pieces of information to achieve a better understanding of the factors associated with disability in multiple sclerosis (MS). Design: Cross-sectional survey. Setting: Referral hospital-based MS center. Patients: Ten healthy control subjects, 27 patients with a clinically isolated neurological syndrome, 21 patients with relapsing-remitting MS, and 29 patients with secondary progressive MS. Main Outcome Measures: Conventional and diffusion-tensor magnetic resonance imaging, as well as WBNAA proton magnetic resonance spectroscopy, of the brain was performed. T2-hyperintense lesion volumes were measured. The mean values of mean diffusivity (MD) and fractional anisotropy of T2-visible lesions were computed. Histograms of MD and fractional anisotropy values were produced for normal-appearing white matter and gray matter (GM). Results: Patients with a clinically isolated neurological syndrome had a significantly (P=.002) lower WBNAA concentration than control subjects. Patients with relapsing-remitting MS had significantly higher T2 lesion volume (P=.007), mean lesion MD (P=.003), normal-appearing white matter fractional anisotropy peak height (P=.03), and a lower WBNAA concentration (P<.001) than patients with a clinically isolated neurological syndrome. Patients with secondary progressive MS had significantly higher T2 lesion volume (P=.01), lower mean normal-appearing white matter fractional anisotropy (P=.003), higher mean GM MD (P=.004), and lower GM MD peak height (P=.01) than patients with relapsing-remitting MS. Disease duration, GM MD peak height, and WBNAA concentration entered a multivariate model, explaining nearly 70% of the disability variance. Conclusions: The accumulation of macroscopic lesions and normal-appearing white matter damage seems to occur mainly during the earliest clinical phases of MS, whereas pathological features of GM may be a hallmark of the late progressive stage of the disease. This supports the notion of MS as a "2-stage" disease
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