197 research outputs found

    Probabilistic trend detection in different levels of consciousness

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    We aimed to explore how alertness modulates the management of probabilistic information in order to accurately detect changing patterns in a stream of conflicting evidence. We hypothesized that a decreased level of alertness might disrupt the strategy deployed to approach a probabilistic reversal learning task by impairment of working memory, of integration and value-updating of each piece of evidence, and decreased cognitive control. Our results showed that performance in probabilistic reversal learning is altered in decreased alertness, in relation to a higher frequency of spontaneous switching between patterns. Besides, response time and type suggest an impaired ability to generate a stable evidence-based strategy, although evidence-driven responses are present even in heavy drowsiness

    Direct brain recordings reveal continuous encoding of structure in random stimuli

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    The brain excels at processing sensory input, even in rich or chaotic environments. Mounting evidence attributes this to the creation of sophisticated internal models of the environment that draw on statistical structures in the unfolding sensory input. Understanding how and where this modeling takes place is a core question in statistical learning and predictive processing. In this context, we address the role of transitional probabilities as an implicit structure supporting the encoding of a random auditory stream. Leveraging information-theoretical principles and the high spatiotemporal resolution of intracranial electroencephalography, we analyzed the trial-by-trial high-frequency activity representation of transitional probabilities. This unique approach enabled us to demonstrate how the brain continuously encodes structure in random stimuli and revealed the involvement of a network outside of the auditory system, including hippocampal, frontal, and temporal regions. Linking the frame-works of statistical learning and predictive processing, our work illuminates an implicit process that can be crucial for the swift detection of patterns and unexpected events in the environment.Fil: Fuhrer, Julian. University of Oslo; NoruegaFil: Kyrre, Glette. University of Oslo; NoruegaFil: Ivanovic, Jugoslav. University of Oslo; NoruegaFil: Gunnar Larsson, Pål. University of Oslo; NoruegaFil: Bekinschtein, Tristán Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. University of Cambridge; Reino UnidoFil: Kochen, Sara Silvia. Universidad Nacional Arturo Jauretche. Unidad Ejecutora de Estudios en Neurociencias y Sistemas Complejos. Provincia de Buenos Aires. Ministerio de Salud. Hospital Alta Complejidad en Red El Cruce Dr. Néstor Carlos Kirchner Samic. Unidad Ejecutora de Estudios en Neurociencias y Sistemas Complejos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Unidad Ejecutora de Estudios en Neurociencias y Sistemas Complejos; ArgentinaFil: Knight, Robert T.. University of California at Berkeley; Estados UnidosFil: Tørresen, Jim. University of Oslo; NoruegaFil: Solbakk, Anne Kristin. University of Oslo; Noruega. Helgeland Hospital; NoruegaFil: Endestad, Tor. University of Oslo; Noruega. Helgeland Hospital; NoruegaFil: Blenkmann, Alejandro Omar. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. University of Oslo; Norueg

    Ritmos biológicos y uso del tiempo en una comunidad mapuche aislada

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    Este proyecto persigue establecer la influencia de factores ambientales y culturales sobre los patrones temporales de poblaciones humanas. Estudiamos la comunidad mapuche de Milaín Currical (Neuquén) en distintas estaciones, registrando el ciclo diario sueño-vigilia y otros parámetros relacionados con cambios cíclicos en el comportamiento y la fisiología de los habitantes. El objetivo es lograr una explicación englobadora del uso del tiempo en poblaciones bajo distintas condiciones ambientales. Asimismo, se registró la variación estacional en los procesos migratorios y en variables epidemiológicas. Las variables ambientales (fotoperíodo, temperatura, lluvias) exhibieron ciclos anuales de gran amplitud. La comunidad presenta variaciones estacionales con claras diferencias entre verano e invierno, incluyendo cambios de horario de sus actividades y del ciclo sueño-vigilia, que correlacionan con variaciones ambientales. Las consultas médicas tuvieron un pico hacia el final del invierno. La comunidad realiza una migración anual entre las tierras de veranada y de invernada, que puede ser correlacionada con las variables ambientales, en particular el fotoperíodo. El estudio de comunidades sujetas a cambios temporales profundos en el ambiente (sin sincronizadores artificiales) ofrece un excelente modelo para la investigación del sistema cronobiológico humano.Asociación de Antropología Biológica de la República Argentin

    Ritmos biológicos y uso del tiempo en una comunidad mapuche aislada

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    Este proyecto persigue establecer la influencia de factores ambientales y culturales sobre los patrones temporales de poblaciones humanas. Estudiamos la comunidad mapuche de Milaín Currical (Neuquén) en distintas estaciones, registrando el ciclo diario sueño-vigilia y otros parámetros relacionados con cambios cíclicos en el comportamiento y la fisiología de los habitantes. El objetivo es lograr una explicación englobadora del uso del tiempo en poblaciones bajo distintas condiciones ambientales. Asimismo, se registró la variación estacional en los procesos migratorios y en variables epidemiológicas. Las variables ambientales (fotoperíodo, temperatura, lluvias) exhibieron ciclos anuales de gran amplitud. La comunidad presenta variaciones estacionales con claras diferencias entre verano e invierno, incluyendo cambios de horario de sus actividades y del ciclo sueño-vigilia, que correlacionan con variaciones ambientales. Las consultas médicas tuvieron un pico hacia el final del invierno. La comunidad realiza una migración anual entre las tierras de veranada y de invernada, que puede ser correlacionada con las variables ambientales, en particular el fotoperíodo. El estudio de comunidades sujetas a cambios temporales profundos en el ambiente (sin sincronizadores artificiales) ofrece un excelente modelo para la investigación del sistema cronobiológico humano.Asociación de Antropología Biológica de la República Argentin

    Haploinsufficiency of EHMT1 improves pattern separation and increases hippocampal cell proliferation

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    Contains fulltext : 169681.pdf (publisher's version ) (Open Access)Heterozygous mutations or deletions of the human Euchromatin Histone Methyltransferase 1 (EHMT1) gene are the main causes of Kleefstra syndrome, a neurodevelopmental disorder that is characterized by impaired memory, autistic features and mostly severe intellectual disability. Previously, Ehmt1+/- heterozygous knockout mice were found to exhibit cranial abnormalities and decreased sociability, phenotypes similar to those observed in Kleefstra syndrome patients. In addition, Ehmt1+/- knockout mice were impaired at fear extinction and novel- and spatial object recognition. In this study, Ehmt1+/- and wild-type mice were tested on several cognitive tests in a touchscreen-equipped operant chamber to further investigate the nature of learning and memory changes. Performance of Ehmt1+/- mice in the Visual Discrimination &Reversal learning, object-location Paired-Associates learning- and Extinction learning tasks was found to be unimpaired. Remarkably, Ehmt1+/- mice showed enhanced performance on the Location Discrimination test of pattern separation. In line with improved Location Discrimination ability, an increase in BrdU-labelled cells in the subgranular zone of the dentate gyrus was observed. In conclusion, reduced levels of EHMT1 protein in Ehmt1+/- mice does not result in general learning deficits in a touchscreen-based battery, but leads to increased adult cell proliferation in the hippocampus and enhanced pattern separation ability

    Detecting Awareness in the Vegetative State: Electroencephalographic Evidence for Attempted Movements to Command

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    Patients in the Vegetative State (VS) do not produce overt motor behavior to command and are therefore considered to be unaware of themselves and of their environments. However, we recently showed that high-density electroencephalography (EEG) can be used to detect covert command-following in some VS patients. Due to its portability and inexpensiveness, EEG assessments of awareness have the potential to contribute to a standard clinical protocol, thus improving diagnostic accuracy. However, this technique requires refinement and optimization if it is to be used widely as a clinical tool. We asked a patient who had been repeatedly diagnosed as VS for 12-years to try to move his left and right hands, between periods of rest, while EEG was recorded from four scalp electrodes. We identified appropriate and statistically reliable modulations of sensorimotor beta rhythms following commands to try to move, which could be significantly classified at a single-trial level. These reliable effects indicate that the patient attempted to follow the commands, and was therefore aware, but was unable to execute an overtly discernable action. The cognitive demands of this novel task are lower than those used previously and, crucially, allow for awareness to be determined on the basis of a 20-minute EEG recording made with only four electrodes. This approach makes EEG assessments of awareness clinically viable, and therefore has potential for inclusion in a standard assessment of awareness in the VS
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