Premisas de la tautología autoinmune en la esclerosis múltiple

La esclerosis múltiple (EM) es una enfermedad desmielinizante del sistema nervioso central. Varias características de la EM son comunes a muchas enfermedades autoinmunes, como la mayor prevalencia en las mujeres (razón mujer:hombre 3:1), mecanismos fisiopatológicos comunes, heterogeneidad clínica, factores ambientales, herencia poligénica moderada, susceptibilidad génica, co-ocurrencia de diferentes enfermedades autoinmunes en un individuo y en los miembros de la familia, y respuesta a la terapia inmunosupresora. El objetivo de este estudio es evaluar la EM como una enfermedad parte de la tautología autoinmune. Metodología Estudio analítico de corte transversal con 201 pacientes del Centro de Estudio de Enfermedades Autoinmunes (CREA) pertenecientes a regiones de Antioquia y Cundiboyaca, con diagnóstico definido de Esclerosis múltiple por medio de los criterios de Mc Donald. Resultados La poliautoinmunidad (OR 13.445 (1.772–102.009), la autoinmunidad familiar (OR 2.164(1.085-4.316), la región ( OR 2,891 (1.31-6.40), los cursos progresivos (OR 4.695-5.984) de esclerosis múltiple se encontraron significativamente asociados a la discapacidad y el género. Discusión Las características comunes de la esclerosis múltiple con otras enfermedades autoiunmunes, soportan la teoría del origen comun de estas condiciones.

Recognition of static and dynamic facial expressions: Influences of sex, type and intensity of emotion

Ecological validity of static and intense facial expressions in emotional recognition has been questioned. Recent studies have recommended the use of facial stimuli more compatible to the natural conditions of social interaction, which involves motion and variations in emotional intensity. In this study, we compared the recognition of static and dynamic facial expressions of happiness, fear, anger and sadness, presented in four emotional intensities (25 %, 50 %, 75 % and 100 %). Twenty volunteers (9 women and 11 men), aged between 19 and 31 years, took part in the study. The experiment consisted of two sessions in which participants had to identify the emotion of static (photographs) and dynamic (videos) displays of facial expressions on the computer screen. The mean accuracy was submitted to an Anova for repeated measures of model: 2 sexes x [2 conditions x 4 expressions x 4 intensities]. We observed an advantage for the recognition of dynamic expressions of happiness and fear compared to the static stimuli (p < .05). Analysis of interactions showed that expressions with intensity of 25 % were better recognized in the dynamic condition (p < .05). The addition of motion contributes to improve recognition especially in male participants (p < .05). We concluded that the effect of the motion varies as a function of the type of emotion, intensity of the expression and sex of the participant. These results support the hypothesis that dynamic stimuli have more ecological validity and are more appropriate to the research with emotions.