37 research outputs found

    The Pupillary Light Reflex as a Biomarker of Concussion.

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    The size of our pupils changes continuously in response to variations in ambient light levels, a process known as the pupillary light reflex (PLR). The PLR is not a simple reflex as its function is modulated by cognitive brain function and any long-term changes in brain function secondary to injury should cause a change in the parameters of the PLR. We performed a retrospective clinical review of the PLR of our patients using the BrightLamp Reflex iPhone app. The PLR variables of latency, maximum pupil diameter (MaxPD), minimum pupil diameter (MinPD), maximum constriction velocity (MCV), and the 75% recovery time (75% PRT) were associated with significant differences between subjects who had suffered a concussion and those that had not. There were also significant differences in PLR metrics over the life span and between genders and those subjects with and without symptoms. The differences in PLR metrics are modulated not only by concussion history but also by gender and whether or not the person has symptoms associated with a head injury. A concussive injury to the brain is associated with changes in the PLR that persist over the life span, representing biomarkers that might be used in clinical diagnosis, treatment, and decision making

    Brain Vital Signs in Elite Ice Hockey: Towards Characterizing Objective and Specific Neurophysiological Reference Values for Concussion Management.

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    Background: Prior concussion studies have shown that objective neurophysiological measures are sensitive to detecting concussive and subconcussive impairments in youth ice-hockey. These studies monitored brain vital signs at rink-side using a within-subjects design to demonstrate significant changes from pre-season baseline scans. However, practical clinical implementation must overcome inherent challenges related to any dependence on a baseline. This requires establishing the start of normative reference data sets. Methods: The current study collected specific reference data for N = 58 elite, youth, male ice-hockey players and compared these with a general reference dataset from N = 135 of males and females across the lifespan. The elite hockey players were recruited to a select training camp through CAA Hockey, a management agency for players drafted to leagues such as the National Hockey League (NHL). The statistical analysis included a test-retest comparison to establish reliability, and a multivariate analysis of covariance to evaluate differences in brain vital signs between groups with age as a covariate. Findings: Test-retest assessments for brain vital signs evoked potentials showed moderate-to-good reliability (Cronbach's Alpha > 0.7, Intraclass correlation coefficient > 0.5) in five out of six measures. The multivariate analysis of covariance showed no overall effect for group (p = 0.105), and a significant effect of age as a covariate was observed (p < 0.001). Adjusting for the effect of age, a significant difference was observed in the measure of N100 latency (p = 0.022) between elite hockey players and the heterogeneous control group. Interpretation: The findings support the concept that normative physiological data can be used in brain vital signs evaluation in athletes, and should additionally be stratified for age, skill level, and experience. These can be combined with general norms and/or individual baseline assessments where appropriate and/or possible. The current results allow for brain vital sign evaluation independent of baseline assessment, therefore enabling objective neurophysiological evaluation of concussion management and cognitive performance optimization in ice-hockey

    The Treatment of Autism Spectrum Disorder With Auditory Neurofeedback: A Randomized Placebo Controlled Trial Using the Mente Autism Device

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    Introduction: Children affected by autism spectrum disorder (ASD) often have impairment of social interaction and demonstrate difficulty with emotional communication, display of posture and facial expression, with recognized relationships between postural control mechanisms and cognitive functions. Beside standard biomedical interventions and psychopharmacological treatments, there is increasing interest in the use of alternative non-invasive treatments such as neurofeedback (NFB) that could potentially modulate brain activity resulting in behavioral modification.Methods: Eighty-three ASD subjects were randomized to an Active group receiving NFB using the Mente device and a Control group using a Sham device. Both groups used the device each morning for 45 minutes over a 12 week home based trial without any other clinical interventions. Pre and Post standard ASD questionnaires, qEEG and posturography were used to measure the effectiveness of the treatment.Results: Thirty-four subjects (17 Active and 17 Control) completed the study. Statistically and substantively significant changes were found in several outcome measures for subjects that received the treatment. Similar changes were not detected in the Control group.Conclusions: Our results show that a short 12 week course of NFB using the Mente Autism device can lead to significant changes in brain activity (qEEG), sensorimotor behavior (posturography), and behavior (standardized questionnaires) in ASD children

    Esquema biogeogrĂĄfico de la RepĂșblica Argentina

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    La biogeografĂ­a evolutiva reconoce ĂĄreas de endemismo y establece sus relaciones con otras ĂĄreas, proporcionando la informaciĂłn necesaria para elaborar un sistema jerĂĄrquico de regionalizaciĂłn natural. La estrecha relaciĂłn entre la evoluciĂłn geolĂłgica y biolĂłgica en el planeta se manifiesta en la existencia de biotas endĂ©micas, producto de barreras geogrĂĄficas y ecolĂłgicas. La biogeografĂ­a evolutiva pretende documentar la existencia de biotas, para representar la estructura evolutiva de los ecosistemas y su funcionalidad, asĂ­ como contribuir a la determinaciĂłn de prioridades para la conservaciĂłn. En este trabajo se describen las caracterĂ­sticas fundamentales de las unidades biogeogrĂĄficas presentes en la RepĂșblica Argentina y se proporcionan los mapas respectivos, constituyendo un sistema general de referencia para estudios ecolĂłgicos, evolutivos y biogeogrĂĄficos y en materia de educaciĂłn y toma de decisiones para la conservaciĂłn y uso sustentable. Para cada unidad biogeogrĂĄfica se presentan el nombre vĂĄlido y sus sinĂłnimos, su ubicaciĂłn geogrĂĄfica, sus caracterĂ­sticas distintivas, el tipo de paisaje y vegetaciĂłn dominante y las especies endĂ©micas. AdemĂĄs, se ilustran los paisajes tĂ­picos y algunas especies endĂ©micas o caracterĂ­sticas de cada unidad biogeogrĂĄfica. TambiĂ©n se discuten sus relaciones biĂłticas, evoluciĂłn geobiĂłtica y regionalizaciĂłn hasta la categorĂ­a de distrito. En el esquema aquĂ­ propuesto se reconocen 16 provincias, a su vez agrupadas en la regiĂłn Neotropical (provincias de las Yungas, Paranaense, Bosque de Araucaria, Esteros del IberĂĄ, Chaco y Pampeana), la Zona de TransiciĂłn Sudamericana (provincias de la Puna, Altoandina Cuyana, Monte y Comechingones) y la regiĂłn Andina (provincias PatagĂłnica, Maule, Bosque Valdiviano, Bosque MagallĂĄnico, Islas Malvinas y PĂĄramo MagallĂĄnico). La provincia de Yungas posee tres distritos: Selvas de TransiciĂłn, Selvas Montanas y Bosques Montanos. La provincia Paranaense incluye el distrito de los Campos y el de las Selvas Mixtas. La provincia Esteros del IberĂĄ stat. nov. estĂĄ constituida por tres distritos: Delta del ParanĂĄ stat. rev., RĂ­o Uruguay stat. nov. y Sabanas Inundables del ParanĂĄ stat. nov. La provincia del Chaco abarca tres distritos: Chaqueño Oriental, Chaqueño Serrano stat. rev. y Chaqueño Occidental. En la provincia Pampeana se reconocen cinco distritos: Pampeano Austral, Pampeano Oriental, Espinal, Pampeano Occidental y Uruguayense. En el sector argentino de la provincia de la Puna se reconoce el distrito Jujeño. En la provincia Altoandina Cuyana se identifican tres distritos: Diaguita nom. nov., Cuyano ubic. nov. y Huarpe nom. nov. La provincia del Monte incluye cuatro distritos: Prepuneño, Septentrional, ErĂ©mico y Austral. En la provincia PatagĂłnica reconocemos cinco subprovincias: PatagĂłnica Central (distritos del Chubut y Santa Cruz), Fueguina, de la Payunia (distritos de la Payunia Septentrional y de la Payunia Austral), Subandina (distritos de la Patagonia Subandina Meridional, Altoandino Austral y de la Patagonia Subandina Septentrional) y PatagĂłnica Occidental. En el sector argentino de la provincia de Maule estĂĄ presente el distrito del PehuĂ©n. La provincia del BosqueValdiviano estĂĄ representada por el distrito Valdiviano. La provincia de las Islas Malvinas posee dos distritos: Islas Malvinas e Islas Georgia del Sur.Fil: Arana, Marcelo Daniel. Universidad Nacional de RĂ­o Cuarto; Argentina. International Union for Conservation of Nature. Species Survival Commission. Temperate South American Plants Specialist Group; SuizaFil: Natale, Evangelina Sandra. Universidad Nacional de RĂ­o Cuarto; Argentina. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas; Argentina. FundaciĂłn ConservaciĂłn y Desarrollo; ArgentinaFil: Ferretti, Nelson Edgardo. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Centro CientĂ­fico TecnolĂłgico Conicet - BahĂ­a Blanca. Centro de Recursos Naturales Renovables de la Zona SemiĂĄrida. Universidad Nacional del Sur. Centro de Recursos Naturales Renovables de la Zona SemiĂĄrida; ArgentinaFil: Romano, Gonzalo MatĂ­as. FundaciĂłn Hongos de Argentina para la Sustentabilidad; Argentina. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas; ArgentinaFil: Oggero, Antonia Josefina. Universidad Nacional de RĂ­o Cuarto; ArgentinaFil: MartĂ­nez, Gonzalo. Universidad Nacional de RĂ­o Cuarto; ArgentinaFil: Posadas, Paula Elena. Universidad Nacional de La Plata. Facultad de Ciencias Naturales y Museo; Argentina. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas; ArgentinaFil: Morrone, Juan J.. Universidad Nacional Autonoma de Mexico. Facultad de Ciencias; MĂ©xic

    Measurement of the CP-violating phase ϕs in BÂŻs0→Ds+Ds− decays

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    We present a measurement of the CP-violating weak mixing phase ϕs using the decay BÂŻ0s→D+sD−s in a data sample corresponding to 3.0 fb−1 of integrated luminosity collected with the LHCb detector in pp collisions at center-of-mass energies of 7 and 8 TeV. An analysis of the time evolution of the system, which does not use the constraint |λ|=1 to allow for the presence of CP violation in decay, yields ϕs=0.02±0.17(stat)±0.02(syst)  rad, |λ|=0.91+0.18−0.15(stat)±0.02(syst). This result is consistent with the standard model expectation

    Measurement of the ηc(1S) production cross-section in proton–proton collisions via the decay ηc(1S) → ppÂŻ

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    No abstract available

    Search for the lepton flavour violating decay tau(-) -&gt; mu(-)mu(+)mu(-)

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    A search for the lepton flavour violating decay τ−→Ό−Ό+Ό−\tau^-\rightarrow\mu^-\mu^+\mu^- is performed with the LHCb experiment. The data sample corresponds to an integrated luminosity of 1.0 fb−1^{−1} of proton-proton collisions at a centre-of-mass energy of 7 TeV and 2.0 fb−1^{−1} at 8 TeV. No evidence is found for a signal, and a limit is set at 90% confidence level on the branching fraction, B(τ−→Ό−Ό+Ό−)<4.6×10−8\mathcal{B}(\tau^-\rightarrow\mu^-\mu^+\mu^-)<4.6\times10^{−8}.A search for the lepton flavour violating decay τ−^{−} → Ό−^{−} ÎŒ+^{+} Ό−^{−} is performed with the LHCb experiment. The data sample corresponds to an integrated luminosity of 1.0 fb−1^{−1} of proton-proton collisions at a centre-of-mass energy of 7 TeV and 2.0 fb−1^{−1} at 8 TeV. No evidence is found for a signal, and a limit is set at 90% confidence level on the branching fraction, B(τ−→Ό−Ό+Ό−)<4.6×10−8 \mathrm{\mathcal{B}}\left({\tau}^{-}\to {\mu}^{-}{\mu}^{+}{\mu}^{-}\right)<4.6\times {10}^{-8} .A search for the lepton flavour violating decay τ−→Ό−Ό+Ό−\tau^-\to \mu^-\mu^+\mu^- is performed with the LHCb experiment. The data sample corresponds to an integrated luminosity of 1.0 fb−11.0\mathrm{\,fb}^{-1} of proton-proton collisions at a centre-of-mass energy of 7 TeV7\mathrm{\,Te\kern -0.1em V} and 2.0 fb−12.0\mathrm{\,fb}^{-1} at 8 TeV8\mathrm{\,Te\kern -0.1em V}. No evidence is found for a signal, and a limit is set at 90%90\% confidence level on the branching fraction, B(τ−→Ό−Ό+Ό−)<4.6×10−8\mathcal{B}(\tau^-\to \mu^-\mu^+\mu^-) < 4.6 \times 10^{-8}
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