Registro:

Referencias:

• Rosario Rueda, M., Pozuelos, J.P., Combita, L.M., Cognitive neuroscience of attention from brain mechanisms to individual differences in efficiency (2015) AIMS Neurosci., 2, pp. 183-202
• Petersen, S.E., Posner, M.I., The attention system of the human brain: 20 years after (2012) Annu. Rev. Neurosci., 35, pp. 73-89
• Allan, N.P., Hume, L.E., Allan, D.M., Farrington, A.L., Lonigan, C.J., Relations between inhibitory control and the development of academic skills in preschool and kindergarten: a meta-analysis (2014) Dev. Psychol., 50, pp. 2368-2379
• Bull, R., Lee, K., Executive functioning and mathematics achievement (2014) Child Dev. Perspect., 8, pp. 36-41
• Espy, K.A., Sheffield, T.D., Wiebe, S.A., Clark, C.A.C., Moehr, M.J., Executive control and dimensions of problem behaviors in preschool children (2011) J. Child Psychol. Psychiatry, 52, pp. 33-46
• Rueda, M.R., Checa, P., Rothbart, M.K., Contributions of attentional control to socioemotional and academic development (2010) Early Educ. Dev.
• Dosenbach, N.U.F., Fair, D.A., Cohen, A.L., Schlaggar, B.L., Petersen, S.E., A dual-networks architecture of top-down control (2008) Trends Cogn. Sci., 12, pp. 99-105
• Fair, D.A., Cohen, A.L., Power, J.D., Dosenbach, N.U.F., Church, J.A., Miezin, F.M., Schlaggar, B.L., Petersen, S.E., Functional brain networks develop from a “local to distributed” organization (2009) PLoS Comput. Biol., 5
• Posner, M.I., Petersen, S.E., (1990), The attention system of the human brain, Annu. Rev. Neurosci. doi:; Rohr, C.S., Arora, A., Cho, I.Y.K., Katlariwala, P., Dimond, D., Dewey, D., Bray, S., Functional network integration and attention skills in young children (2018) Dev. Cogn. Neurosci., 30, pp. 200-211
• Watts, D.J., Strogatz, S.H., Collective dynamics of “small-world” networks (1998) Nature, 393, pp. 440-442
• Posner, M.I., Rothbart, M.K., Sheese, B.E., Voelker, P., (2014), 2014, Developing attention: behavioral and brain mechanisms; Posner, M.I., Rothbart, M.K., Rueda, M.R., 22 – Developing Attention and Self-Regulation in Infancy and Childhood (2013), Elsevier Inc; Yokota, S., Takeuchi, H., Hashimoto, T., Hashizume, H., Asano, K., Asano, M., Sassa, Y., Kawashima, R., Individual differences in cognitive performance and brain structure in typically developing children (2015) Dev. Cogn. Neurosci., 14, pp. 1-7
• Friedman, N.P., Miyake, A., Unity and diversity of executive functions: Individual differences as a window on cognitive structure (2017) Cortex, 86, pp. 186-204
• Parasuraman, R., Jiang, Y., Individual differences in cogntion, affect, and performance: behavioral, neuroimaging, and molecular genetic approaches (2012) Neuroimage, 59, pp. 70-82
• Dauvier, B., Chevalier, N., Blaye, A., Using finite mixture of GLMs to explore variability in children's flexibility in a task-swithing paradigm (2012) Cognit. Dev., 27, pp. 440-454. , https://doi.org/10.1016/j.cogdev, 2012.07.004
• Liu, Q., Zhu, X., Ziegler, A., Shi, J., The effects of inhibitory control training for preschoolers on reasoning ability and neural activity (2015) Sci. Rep., 5, p. 14200
• Rueda, M.R., Rothbart, M.K., McCandliss, B.D., Saccomanno, L., Posner, M.I., From the cover: training, maturation, and genetic influences on the development of executive attention (2005) Proc. Natl. Acad. Sci., 102, pp. 14931-14936
• Rueda, M.R., Checa, P., Combita, L.M., Enhanced efficiency of the executive attention network after training in preschool children: immediate changes and effects after two months (2012) Dev. Cogn. Neurosci, 2, pp. S192-S204
• D'Angiulli, A., Lipina, S.J., Maggi, S., The social emotional developmental and cognitive neuroscience of socioeconomic gradients: laboratory, population, cross-cultural and community developmental approaches, The social emotional developmental and cognitive neuroscience of socioeconomic gradients: laboratory, population, cross-cultural and community developmental approaches (2014) Front. Hum. Neurosci.
• Gianaros, P.J., Hackman, D., Contributions of Neuroscience to the study of socioeconomic health disparities (2013) Psychosom. Med., 75, pp. 610-615
• Hackman, D.A., Farah, M.J., Meaney, M.J., Socioeconomic status and the brain: mechanistic insights from human and animal research (2010) Nat. Rev. Neurosci., 11, pp. 651-659
• Hackman, D.A., Farah, M.J., Socioeconomic status and the developing brain (2009) Trends Cognit. Sci., 13, pp. 65-73
• Farah, M.J., The neuroscience of socioeconomic status: correlates, causes, and consequences (2017) Neuron, 96, pp. 56-71
• Lipina, S.J., Colombo, J.A., Poverty and Brain Development During childhood: An Approach from Cognitive Psychology and Neuroscience (2009), American Psychological Association Washington; Lipina, S.J., Posner, M.I., The impact of poverty on the development of brain networks (2012) Front. Hum. Neurosci., 6, pp. 1-12
• Lipina, S.J., Segretin, M.S., Strengths and weakness of neuroscientific investigations of childhood poverty: future directions (2015) Front. Hum. Neurosci., 9, pp. 1-5
• Moffitt, T.E., Arseneault, L., Belsky, D., Dickson, N., Hancox, R.J., Harrington, H., Houts, R., Caspi, A., A gradient of childhood self-control predicts health, wealth, and public safety (2011) Proc. Natl. Acad. Sci., 108, pp. 2693-2698
• Raizada, R.D.S., Kishiyama, M.M., Effects of socioeconomic status on brain development, and how cognitive neuroscience may contribute to levelling the playing field (2010) Front. Hum. Neurosci., 4, p. 3
• Pietto, M.L., Kamienkowski, J.E., Lipina, S.J., Electrophysiological approaches in the study of the influence of childhood poverty on cognition (2017) Neurosci. Soc. Sci., pp. 349-381. , A. Ibáñez L. Sedeño A.M. García Springer International Publishing Cham
• D'Angiulli, A., Herdman, A., Stapells, D., Hertzman, C., Children's event-related potentials of auditory selective attention varies with their socioeconomic status (2008) Neuropsychology, 22, p. 293
• Kishiyama, M.M., Boyce, W.T., Jimenez, A.M., Perry, L.M., Knight, R.T., Socioeconomic disparities affect prefrontal function in children (2009) J. Cogn. Neurosci., 21, pp. 1106-1115
• Stevens, C., Lauinger, B., Neville, H., Differences in the neural mechanisms of selective attention in children from different socioeconomic backgrounds: an event-related brain potential study (2009) Dev. Sci., 12, pp. 634-646
• Conejero, Á., Guerra, S., Abundis-Gutiérrez, A., Rueda, M.R., Frontal theta activation associated with error detection in toddlers: influence of familial socioeconomic status (2016) Dev. Sci.
• Isbell, E., Wray, A.H., Neville, H.J., Individual differences in neural mechanisms of selective auditory attention in preschoolers from lower socioeconomic status backgrounds: an event-related potentials study (2016) Dev. Sci., 19, pp. 865-880
• Neville, H.J., Stevens, C., Pakulak, E., a Bell, T., Fanning, J., Klein, S., Isbell, E., Family-based training program improves brain function, cognition, and behavior in lower socioeconomic status preschoolers (2013) Proc. Natl. Acad. Sci. USA, 110, pp. 12138-12143
• Isbell, E., Stevens, C., Pakulak, E., Hampton Wray, A., Bell, T.A., Neville, H.J., Neuroplasticity of selective attention: research foundations and preliminary evidence for a gene by intervention interaction (2017) Proc. Natl. Acad. Sci. USA, 114, pp. 9247-9254
• Lopez-Rosenfeld, M., Goldin, A.P., Lipina, S., Sigman, M., Fernandez Slezak, D., Marote, M., A flexible automated framework for large-scale educational interventions (2013) Comput. Educ.
• Goldin, A.P., Hermida, M.S., Shalom, D.E., Elias Costa, M., Lopez-Rosenfeld, M., Segretin, M.S., Fernández-Slezak, D., Sigman, M., Far transfer to language and math of a short software-based gaming intervention (2014) Proc. Natl. Acad. Sci. USA
• Romeo, D.M., Bruni, O., Brogna, C., Ferri, R., Galluccio, C., De Clemente, V., Di Jorio, M., Mercuri, E., Application of the sleep disturbance scale for children (SDSC) in preschool age (2013) Eur. J. Paediatr. Neurol., 17, pp. 374-382
• Peirce, J.W., PsychoPy–psychophysics software in python (2007) J. Neurosci. Methods., 162, pp. 8-13
• Van Rossum, G., Drake, F.L., The python library reference (2010), http://scholar.google.com/scholar?q=intitle:Python+Library+Reference#0, October; Pietto, M.L., Gatti, M., Raimondo, R., Lipina, S.J., Kamienkowski, J.E., Electrophysiological approaches in the study of cognitive development outside the lab (2018) PLoS ONE
• Davidson, M.C., Amso, D., Anderson, L.C., Diamond, A., Development of cognitive control and executive functions from 4 to 13 years: evidence from manipulations of memory, inhibition, and task switching (2006) Neuropsychologia
• Petrides, M., Deficits on conditional associative-learning tasks after frontal- and temporal-lobe lesions in man (1985) Neuropsychologia
• Luciana, M., Nelson, C.A., The functional emergence of prefrontally-guided working memory systems in four- to eight-year-old children (1998) Neuropsychologia, 36, pp. 273-293
• Cragg, L., Nation, K., Self-ordered pointing as a test of working memory in typically developing children (2007) Memory
• Jodo, E., Kayama, Y., Relation of a negative ERP component to response inhibition in a Go/No-go task (1992) Electroencephalogr. Clin. Neurophysiol., 82, pp. 477-482. , http://www.ncbi.nlm.nih.gov/pubmed/1375556
• Klahr, D., Solving problems with ambiguous subgoal ordering: preschoolers´performance (1985) Child Dev., 56, pp. 940-952
• Delorme, A., Makeig, S., EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis (2004) J. Neurosci. Methods, 134, pp. 9-21
• Quian Quiroga, R., Obtaining single stimulus evoked potentials with wavelet denoising (2000) Phys. D Nonlinear Phenom., 145, pp. 278-292
• Ahmadi, M., Quian Quiroga, R., Automatic denoising of single-trial evoked potentials (2013) Neuroimage, 66, pp. 672-680
• Navajas, J., Ahmadi, M., Quian Quiroga, R., Uncovering the mechanisms of conscious face perception: a single-trial study of the n170 responses (2013) J. Neurosci., 33, pp. 1337-1343
• Pietto, M., Parra, M.A., Trujillo, N., Flores, F., García, A.M., Bustin, J., Richly, P., Baez, S., Behavioral and electrophysiological correlates of memory binding deficits in patients at different risk levels for Alzheimer's disease (2016) J. Alzheimer's Dis., 53, pp. 1325-1340
• Manly, B.F.J., Randomization, Bootstrap, and Monte Carlo Methods in Biology (1997), Chapman & Hall; Davison, A.C., Hinkley, D.V., Bootstrap Methods and Their Application (1997), Cambridge University Press; Delorme, A., Makeig, S., EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis (2004) J. Neurosci. Methods, 134, pp. 9-21
• Nichols, T.E., Holmes, A.P., Nonparametric permutation tests for functional neuroimaging: a primer with examples (2002) Hum Brain Mapp., 15, pp. 1-25
• Chennu, S., Noreika, V., Gueorguiev, D., Blenkmann, A., Kochen, S., Ibanez, A., Owen, A.M., Bekinschtein, T.A., Expectation and attention in hierarchical auditory prediction (2013) J. Neurosci., 33, pp. 11194-11205
• Gonzalez-Gadea, M.L., Chennu, S., Bekinschtein, T.A., Rattazzi, A., Beraudi, A., Tripicchio, P., Moyano, B., Ibanez, A., Predictive coding in autism spectrum disorder and attention deficit hyperactivity disorder (2015) J. Neurophysiol., 114, pp. 2625-2636
• Yang, H.H., Savostyanov, A.N., Tsai, A.C., Liou, M., Face recognition in Asperger syndrome: a study on EEG spectral power changes (2011) Neurosci. Lett., 492, pp. 84-88
• Johnstone, S.J., Dimoska, A., Smith, J.L., Barry, R.J., Pleffer, C.B., Chiswick, D., Clarke, A.R., The development of stop-signal and Go/Nogo response inhibition in children aged 7–12 years: performance and event-related potential indices (2007) Int. J. Psychophysiol., 63, pp. 25-38
• Lamm, C., Zelazo, P.D., Lewis, M.D., Neural correlates of cognitive control in childhood and adolescence: disentangling the contributions of age and executive function (2006) Neuropsychologia, 44, pp. 2139-2148
• Ruberry, E.J., Lengua, L.J., Crocker, L.H., Bruce, J., Upshaw, M.B., Sommerville, J.A., Income, neural executive processes, and preschool children's executive control (2017) Dev. Psychopathol., 29, pp. 143-154
• D'Angiulli, A., Van Roon, P.M., Weinberg, J., Oberlander, T.F., Grunau, R.E., Hertzman, C., Maggi, S., Frontal EEG/ERP correlates of attentional processes, cortisol and motivational states in adolescents from lower and higher socioeconomic status (2012) Front. Hum. Neurosci., 6. , article 6
• Schmiedek, F., Oberauer, K., Wilhelm, O., Süß, H.M., Wittmann, W.W., Individual differences in components of reaction time distributions and their relations to working memory and intelligence (2007) J. Exp. Psychol. Gen., 136, pp. 414-429
• Ratcliff, R., Thapar, A., McKoon, G., Individual differences, aging, and IQ in two-choice tasks (2010) Cognit. Psychol., 60, pp. 127-157. , 2009.09.001
• Ratcliff, R., Love, J., Thompson, C.A., Opfer, J.E., Children are not like older adults: a diffusion model analysis of developmental changes in speeded responses (2012) Child Dev., 83, pp. 367-381
• Johnstone, S.J., Pleffer, C.B., Barry, R.J., Clarke, A.R., Smith, J.L., Development of inhibitory processing during the Go/NoGo task (2005) J. Psychophysiol, 19, pp. 11-23
• Jonkman, L.M., The development of preparation, conflict monitoring and inhibition from early childhood to young adulthood: a Go/Nogo ERP study. (2006) Brain Res, 1097, pp. 181-193
• Kopp, B., Tabeling, S., Moschner, C., Wessel, K., Fractionating the neural mechanisms of cognitive control (2006) J. Cogn. Neurosci.
• van Veen, V., Carter, C.S., The anterior cingulate as a conflict monitor: fMRI and ERP studies. (2002) Physiol. Behav., 77, pp. 477-482
• Van Veen, V., Carter, C.S., The timing of action-monitoring processes in the anterior cingulate cortex (2002) J. Cogn. Neurosci., 14, pp. 593-602
• Benikos, N., Johnstone, S.J., Roodenrys, S.J., Short-term training in the Go/Nogo task: behavioural and neural changes depend on task demands (2013) Int. J. Psychophysiol., 87, pp. 301-312
• Ursache, A., Noble, K.G., Neurocognitive development in socioeconomic context: Multiple mechanisms and implications for measuring socioeconomic status (2016) Psychophysiology, 53, pp. 71-82
• Adam, K.C.S., Vogel, E.K., Tuning in by tuning out distractions (2016) Proc. Natl. Acad. Sci.
• Unsworth, N., Fukuda, K., Awh, E., Vogel, E.K., Working memory and fluid intelligence: capacity, attention control, and secondary memory retrieval (2014) Cogn. Psychol., 71, pp. 1-26
• Potts, G.F., Liotti, M., Tucker, D.M., Posner, M.I., Frontal and inferior temporal cortical activity in visual target detection: evidence from high spatially sampled event-related potentials (1996) Brain Topogr.
• Potts, G.F., An ERP index of task relevance evaluation of visual stimuli (2004) Brain Cogn.
• Rueda, M.R., Fan, J., McCandliss, B.D., Halparin, J.D., Gruber, D.B., Lercari, L.P., Posner, M.I., Development of attentional networks in childhood (2004) Neuropsychologia
• Segretin, M.S., Lipina, S.J., Hermida, M.J., Sheffield, T.D., Nelson, J.M., Espy, K.A., Colombo, J.A., Predictors of cognitive enhancement after training in preschoolers from diverse socioeconomic backgrounds (2014) Front. Psychol., 5, p. 205
• Hackman, D.A., Gallop, R., Evans, G.W., Farah, M.J., Socioeconomic status and executive function: developmental trajectories and mediation (2015) Dev. Sci, 18, pp. 686-702
• Hermida, M.J., Segretin, M.S., Prats, L.M., Fracchia, C.S., Colombo, J.A., Lipina, S.J., Cognitive neuroscience, developmental psychology, and education: interdisciplinary development of an intervention for low socioeconomic status kindergarten children (2015) Trends Neurosci. Educ., 4, pp. 15-25

Citas:

---------- APA ----------

---------- CHICAGO ----------

---------- MLA ----------

---------- VANCOUVER ----------