Electrophysiological approaches in the study of the influence of childhood poverty on cognition

The influence of adverse environmental conditions on the organization and reorganization of the brain structure and function involves distinct neural systems at different levels of organization. Electroencephalographic (EEG) measures provide precise evidence on the temporal sequence in which relevan...

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Autor principal: Pietto, M.L
Otros Autores: Kamienkowski, J.E, Lipina, S.J
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Publicado: Springer International Publishing 2017
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100 1 |a Pietto, M.L. 
245 1 0 |a Electrophysiological approaches in the study of the influence of childhood poverty on cognition 
260 |b Springer International Publishing  |c 2017 
270 1 0 |m Pietto, M.L.; Unidad de Neurobiología Aplicada (UNA, CEMIC-CONICET)Argentina; email: marcos.pietto@gmail.com 
506 |2 openaire  |e Política editorial 
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520 3 |a The influence of adverse environmental conditions on the organization and reorganization of the brain structure and function involves distinct neural systems at different levels of organization. Electroencephalographic (EEG) measures provide precise evidence on the temporal sequence in which relevant cognitive processes occur. Here, we offer a systematic review of EEG studies on the influence of childhood poverty on cognitive development. The paradigms used focused primarily on correlates of inhibitory control, selective attention, and unrelated task-event activity. Eighteen studies reported differences related to socioeconomic disparities, including (a) discrepancies in neural markers of interference control and early auditory sensory processing and (b) delays in the maturation of brain oscillations in frontal regions. Overall, EEG techniques appear to have predictive power over cognitive and academic performance of children. Therefore, EEG markers may be useful to evaluate the efficacy of interventions aimed to enhance cognitive development in children facing unfavorable social conditions. © Springer International Publishing Switzerland 2017.  |l eng 
593 |a Unidad de Neurobiología Aplicada (UNA, CEMIC-CONICET), Buenos Aires, Argentina 
593 |a Laboratorio de Inteligencia Artificial Aplicada, Departamento de Computación, FCEyN-UBA, CONICET, Buenos Aires, Argentina 
593 |a Departamento de Física (FCEyN-UBA, CONICET), Buenos Aires, Argentina 
593 |a Unidad de Neurobiología Aplicada (UNA, CEMIC-CONICET), Buenos Aires, Argentina 
690 1 0 |a CHILDHOOD POVERTY 
690 1 0 |a COGNITIVE DEVELOPMENT 
690 1 0 |a EEG 
690 1 0 |a ERP 
690 1 0 |a SOCIOECONOMIC STATUS 
700 1 |a Kamienkowski, J.E. 
700 1 |a Lipina, S.J. 
773 0 |d Springer International Publishing, 2017  |h pp. 349-381  |p Neurosci. and Soc. Sci.: The Missing Link  |z 9783319684215  |z 9783319684208  |t Neuroscience and Social Science: The Missing Link 
856 4 1 |u https://www.scopus.com/inward/record.uri?eid=2-s2.0-85043445508&doi=10.1007%2f978-3-319-68421-5_15&partnerID=40&md5=b218372e05a9303756fa329851059094  |y Registro en Scopus 
856 4 0 |u https://doi.org/10.1007/978-3-319-68421-5_15  |y DOI 
856 4 0 |u https://hdl.handle.net/20.500.12110/paper_97833196_v_n_p349_Pietto  |y Handle 
856 4 0 |u https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_97833196_v_n_p349_Pietto  |y Registro en la Biblioteca Digital 
961 |a paper_97833196_v_n_p349_Pietto  |b paper  |c PE 
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999 |c 78424