Predicción de la cinética de movimientos imaginados a partir de EEG de época única utilizando redes neuronales convolucionales

La decodificación de la cinética de movimientos imaginados a partir del electroencefalograma (EEG) permite obtener m´as grados de libertad en el control de dispositivos por medio de una interfaz cerebro computadora, a costa de un aumento en la complejidad del problema. Intentos recientes para discernir entre diferentes niveles de fuerza y velocidad en la imaginación de movimientos obtuvieron resultados cercanos al nivel de aleatoriedad, lo que demanda una mejora en la exactitud de la predicción. En este sentido, las redes neuronales profundas han demostrado ser capaces de resolver problemas complejos a partir de la abstracción de la señal de entrada; entre ellas, las redes neuronales convolucionales (ConvNet) además son capaces de aprender relaciones topológicas en los datos. En particular, en el presente trabajo se implementó una ConvNet para distinguir entre niveles de fuerza y velocidad durante la imaginación de una tarea de agarre, a partir de EEG de época única. Se obtuvo una exactitud mayor a 70% con un pre-procesamiento mínimo del EEG, constituyendo una mejoría sensible por sobre resultados previos a partir de los mismos datos utilizando estrategias alternativas.Sociedad Argentina de Informática e Investigación Operativ

On the agreement between manual and automated methods for single-trial detection and estimation of features from event-related potentials

The agreement between humans and algorithms on whether an event-related potential (ERP) is present or not and the level of variation in the estimated values of its relevant features are largely unknown. Thus, the aim of this study was to determine the categorical and quantitative agreement between manual and automated methods for single-trial detection and estimation of ERP features. To this end, ERPs were elicited in sixteen healthy volunteers using electrical stimulation at graded intensities below and above the nociceptive withdrawal reflex threshold. Presence/absence of an ERP peak (categorical outcome) and its amplitude and latency (quantitative outcome) in each single-trial were evaluated independently by two human observers and two automated algorithms taken from existing literature. Categorical agreement was assessed using percentage positive and negative agreement and Cohen's κ, whereas quantitative agreement was evaluated using Bland-Altman analysis and the coefficient of variation. Typical values for the categorical agreement between manual and automated methods were derived, as well as reference values for the average and maximum differences that can be expected if one method is used instead of the others. Results showed that the human observers presented the highest categorical and quantitative agreement, and there were significantly large differences between detection and estimation of quantitative features among methods. In conclusion, substantial care should be taken in the selection of the detection/estimation approach, since factors like stimulation intensity and expected number of trials with/without response can play a significant role in the outcome of a study

Stimulus predictability moderates the withdrawal strategy in response to repetitive noxious stimulation in humans

Nociceptive withdrawal reflex (NWR) is a protective reaction to a noxious stimulus, resulting in withdrawal of the affected area and thus preventing potential tissue damage. This involuntary reaction consists of neural circuits, biomechanical strategies, and muscle activity that ensure an optimal withdrawal. Studies of lower limb NWR indicate that the amplitude of the NWR is highly modulated by extrinsic and intrinsic factors, such as stimulation site, intensity, frequency, and supraspinal activity, among others. Whether the predictability of the stimulus has an effect on the biomechanical strategies is still unclear. This study aimed to evaluate how the predictability of impending noxious stimuli modulate the NWR reaction in the lower limb. NWR was evoked on fifteen healthy participants by trains of electrical stimuli on the sole of the foot and was measured in one distal (tibialis anterior) and one proximal (biceps femoris) muscle. The predictability was manipulated by giving participants prior information about the onset of the stimulus trains and the number of delivered stimuli per train. Results showed that the predictability of the incoming stimuli differentially modulates the muscle activity involved in the NWR reaction. For the most unpredictable stimulus train, larger NWR at distal muscles were evoked. Furthermore, the stereotyped temporal summation profile to repeated stimulation was observed when the stimulus train was completely predictable, while it was disrupted in proximal muscles in unpredictable conditions. It is inferred that the reflex response is shaped by descending control, which dynamically tunes the activity of the muscles involved in the resulting reaction. NEW & NOTEWORTHY Innate defensive behaviors such as reflexes are found across all species, constituting preprogrammed responses to external threats that are not anticipated. Previous studies indicated that the excitability of the reflex arcs like spinal nociceptive withdrawal reflex (NWR) pathways in humans are modulated by several cognitive factors. This study assesses how the predictability of a threat affects the biomechanical pattern of the withdrawal response, showing that distal and proximal muscles are differentially modulated by descending control.Fil: Jure, Fabricio A.. Aalborg University; DinamarcaFil: Arguissain, Federico G.. Aalborg University; DinamarcaFil: Biurrun Manresa, José Alberto. Universidad Nacional de Entre Ríos. Instituto de Investigación y Desarrollo en Bioingeniería y Bioinformática - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Investigación y Desarrollo en Bioingeniería y Bioinformática; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigaciones y Transferencia de Entre Ríos. Universidad Nacional de Entre Ríos. Centro de Investigaciones y Transferencia de Entre Ríos; Argentina. Aalborg University; DinamarcaFil: Graven Nielsen, Thomas. Aalborg University; DinamarcaFil: Andersen, Ole Kæseler. Aalborg University; Dinamarc

Gamma Oscillations in the Mouse Primary Visual Cortex as an Endophenotype of Schizophrenia

Gamma oscillations (20-50 Hz) are a robust component of brain activity associated with information processing, but are also part of the background spontaneous activity during various brain states including sleep and anesthesia. Our goal was to examine the changes in gamma oscillations that result from pharmacological and genetic manipulations of glutamatergic transmission which produce endophenotypes of schizophrenia. We recorded local field potentials (LFP) and single units through the depth of the mouse primary visual cortex in vivo and examined the alterations in gamma frequency activity under both normal and pathological conditions. Our results indicate that both in awake and anesthetized animals, baseline gamma frequency power in the LFP is increased throughout the cortical lamina, and the signal-to-noise ratio of gamma oscillations produced by a visual stimulus is diminished, most notably in the superficial layers. In addition, the entrainment of single units to the local oscillations in the LFP is reduced in the supragranular (L2/3) and infragranular (L5/6) layers. This work supports the hypothesis that alterations in glutamatergic transmission result in changes to gamma oscillations in primary sensory areas and is consistent with the hypothesis that these changes are associated with disrupted sensory perception

Social foundations of the mathematics curriculum: a rationale for change

The nature of educational aims as criteria for worthwhile curriculum practice is explored and a cross-section of aims for mathematics education is discussed. An aim for mathematics education which emphasises the social aspect of the subject in its being, its conduct and its applications is identified and epistemological foundations for such a view of the nature of the subject are explored. It is argued that such an epistemological perspective of mathematics would be reflected in the social context of the mathematics classroom, arising from a methodology in which the subject would become more problematic and open to change, investigation and hypothesis. The aims of two major mathematics curriculum development projects (the Nuffield Mathematics Project and the School Mathematics Project) are examined to determine the extent to which their aims may take the 'social' nature of mathematics into account. The probable social context of mathematics classrooms using their materials is postulated in an attempt to characterise the nature of the subject as it is reflected in these materials. A view of the nature of mathematics held by practising teachers and by pupils is then established by drawing upon, and extrapolating from, evidence relating to the social context of mathematics classrooms at primary and secondary level. Conclusions follow, which suggest that fundamental change in mathematics education requires, as a first step, the adoption of a new epistemological perspective of the subject in order that the pursuit of the aim which emphasises the social nature of mathematics is achieved. It is suggested that this, in turn, ultimately could lead to the desired balance in the mathematics curriculum which hitherto has been lacking

Técnicas para Detección y Estimación Eficiente de Potenciales Evocados

Los potenciales evocados (PE) en sus distintas modalidades (auditivos, visuales y somatosensoriales), se han convertido actualmente en un estudio de diagnóstico de patologías del sistema nervioso casi rutinario. Estos son señales eléctricas registradas mediante electrodos en el cuero cabelludo, que se producen como respuesta de los sistemas sensoriales a la aplicación de un estímulo adecuado. Sin embargo en su adquisición, además de la respuesta evocada por el estímulo, se registran potenciales generados por diversas fuentes fisiológicas y no fisiológicas; obteniéndose una relación señal a ruido (RSR) muy desfavorable que puede llegar a -20 dB en el caso de los potenciales evocados auditivos de tronco cerebral (PEATC).La técnica comúnmente utilizada para mejorar la RSR, y estimar la señal de PE, es la promediación coherente o sincronizada; la cual consiste en aplicar sucesivos estímulos y promediar la actividad eléctrica registrada en forma sincronizada con el instante de tiempo en que se aplica el estímulo. Si bien la promediación es de uso masivo, presenta limitaciones que justifican buscar alternativas a esta. Una es el tiempo requerido para lograr una estimación confiable del PE, que dependiendo de la modalidad del mismo puede insumir más o menos tiempo; en el caso de los PEATC puede ser de hasta 5 minutos. Otra es que se asume que la señal de PE se mantiene constante de época a época y que el ruido (el resto de los potenciales) es del tipo blanco con media cero, hipótesis que no es cierta para la mayoría de los casos. En consecuencia el resultado obtenido de la promediación es una mala estimación de la señal real de PE. Asimismo, hay situaciones en las que no se necesita estimar la morfología de la señal y solo basta con saber si la señal está presente, como por ejemplo la detección automática de hipoacusias.En este proyecto se propuso revisar, evaluar y desarrollar técnicas y/o algoritmos que permitan detectar la señal de PE así como también estimar de manera más eficiente que la promediación coherent