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1.
Nat Neurosci ; 24(8): 1176-1186, 2021 08.
Artículo en Inglés | MEDLINE | ID: mdl-34099922

RESUMEN

The Adolescent Brain Cognitive Development (ABCD) Study® is a 10-year longitudinal study of children recruited at ages 9 and 10. A battery of neuroimaging tasks are administered biennially to track neurodevelopment and identify individual differences in brain function. This study reports activation patterns from functional MRI (fMRI) tasks completed at baseline, which were designed to measure cognitive impulse control with a stop signal task (SST; N = 5,547), reward anticipation and receipt with a monetary incentive delay (MID) task (N = 6,657) and working memory and emotion reactivity with an emotional N-back (EN-back) task (N = 6,009). Further, we report the spatial reproducibility of activation patterns by assessing between-group vertex/voxelwise correlations of blood oxygen level-dependent (BOLD) activation. Analyses reveal robust brain activations that are consistent with the published literature, vary across fMRI tasks/contrasts and slightly correlate with individual behavioral performance on the tasks. These results establish the preadolescent brain function baseline, guide interpretation of cross-sectional analyses and will enable the investigation of longitudinal changes during adolescent development.


Asunto(s)
Encéfalo/fisiología , Adolescente , Desarrollo del Adolescente/fisiología , Niño , Femenino , Humanos , Imagen por Resonancia Magnética , Masculino , Valores de Referencia
2.
Phys Rev E Stat Nonlin Soft Matter Phys ; 80(5 Pt 2): 056108, 2009 Nov.
Artículo en Inglés | MEDLINE | ID: mdl-20365044

RESUMEN

The complex behavior that occurs when traffic lights are synchronized is studied for a row of interacting cars. The system is modeled through a cellular automaton. Two strategies are considered: all lights in phase and a "green wave" with a propagating green signal. It is found that the mean velocity near the resonant condition follows a critical scaling law. For the green wave, it is shown that the mean velocity scaling law holds even for random separation between traffic lights and is not dependent on the density. This independence on car density is broken when random perturbations are considered in the car velocity. Random velocity perturbations also have the effect of leading the system to an emergent state, where cars move in clusters, but with an average velocity which is independent of traffic light switching for large injection rates.


Asunto(s)
Biofisica/métodos , Algoritmos , Automatización , Automóviles , Análisis por Conglomerados , Humanos , Modelos Estadísticos , Modelos Teóricos , Transportes
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