Difference between revisions of "Store:EEMIes02"

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-=== Introduction ===
+=== Introducción ===
-An important but outstanding issue in contemporary cognitive neuroscience is understanding the organizational properties of neural activity. For instance, is there a fundamental structure to the spatial–temporal patterns neural brain activity across different conditions? One common approach used to address this question is to examine the brain at “rest”. Measures such as functional connectivity, independent component analysis and graph theoretic metrics, have been applied to data recorded using different imaging techniques (e.g., functional magnetic resonance imaging (fMRI) and electroencephalography (EEG)), to cluster brain areas that exhibit similar activity patterns. Numerous studies have shown that brain activity during “rest” can be grouped into distinct networks across<ref>{{cita libro
+Un tema importante pero destacado en la neurociencia cognitiva contemporánea es la comprensión de las propiedades organizativas de la actividad neuronal. Por ejemplo, ¿existe una estructura fundamental para los patrones espacio-temporales de la actividad neuronal del cerebro en diferentes condiciones? Un enfoque común utilizado para abordar esta pregunta es examinar el cerebro en "reposo". Se han aplicado medidas como la conectividad funcional, el análisis de componentes independientes y las métricas de teoría de grafos a los datos registrados mediante diferentes técnicas de imagen (p. ej., resonancia magnética funcional (fMRI) y electroencefalografía (EEG)), para agrupar áreas del cerebro que exhiben patrones de actividad similares. Numerosos estudios han demostrado que la actividad cerebral durante el "descanso" se puede agrupar en distintas redes a lo largo;<ref>{{cita libro
   | autore = Biswal B
   | autore2 = Zerrin Yetkin F
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-  }}</ref>; such as sensory (visual and auditory), default mode, executive, salience, and attentional (ventral and dorsal) networks that have been reliably reproduced across thousands of participants<ref>{{cita libro
+  }}</ref> como redes sensoriales (visuales y auditivas), de modo predeterminado, ejecutivas, prominentes y atencionales (ventrales y dorsales) que se han reproducido de manera confiable en miles de participantes<ref>{{cita libro
   | autore = Eickhoff SB
   | autore2 = Yeo BTT
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-  }}</ref>, and are predictive of phenotypic measures like cognition and clinical diagnoses<ref>{{cita libro
+  }}</ref> y son predictivas de medidas fenotípicas como cognición y diagnósticos clínicos.<ref>{{cita libro
   | autore = Dajani DR
   | autore2 = Burrows CA
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-  }}</ref><ref>Uddin LQ, Karlsgodt KH. Future directions for examination of brain networks in neurodevelopmental disorders. J. Clin. Child Adolesc. Psychol. 2018;47:483–497. doi: 10.1080/15374416.2018.1443461. [PMC free article] [PubMed] [CrossRef] [Google Scholar]</ref><ref>Sripada C, et al. Prediction of neurocognition in youth from resting state fMRI. Mol. Psychiatry. 2020;25:3413–3421. doi: 10.1038/s41380-019-0481-6. [PMC free article] [PubMed] [CrossRef] [Google Scholar]</ref>. These results suggest these networks may be an intrinsic aspect of neural activity.
+  }}</ref><ref>Uddin LQ, Karlsgodt KH. Future directions for examination of brain networks in neurodevelopmental disorders. J. Clin. Child Adolesc. Psychol. 2018;47:483–497. doi: 10.1080/15374416.2018.1443461. [PMC free article] [PubMed] [CrossRef] [Google Scholar]</ref><ref>Sripada C, et al. Prediction of neurocognition in youth from resting state fMRI. Mol. Psychiatry. 2020;25:3413–3421. doi: 10.1038/s41380-019-0481-6. [PMC free article] [PubMed] [CrossRef] [Google Scholar]</ref> Estos resultados sugieren que estas redes pueden ser un aspecto intrínseco de la actividad neuronal.