86494 20200716101606.0 doi 10.3389/fnbeh.2019.00247 sideral 115317 ART-2019-115317 eng (orcid)0000-0002-6112-9639 Sánchez-Pérez , Noelia Universidad de Zaragoza Computer-Based Cognitive Training Improves Brain Functional Connectivity in the Attentional Networks: A Study With Primary School-Aged Children 2019 Access copy available to the general public Unrestricted We have shown that a computer-based program that trains schoolchildren in cognitive tasks that mainly tap working memory (WM), implemented by teachers and integrated into school routine, improved cognitive and academic skills compared with an active control group. Concretely, improvements were observed in inhibition skills, non-verbal IQ, mathematics and reading skills. Here, we focus on a subsample from the overarching study who volunteered to be scanned using a resting state fMRI protocol before and 6-month after training. This sample reproduced the aforementioned behavioral effects, and brain functional connectivity changes were observed within the attentional networks (ATN), linked to improvements in inhibitory control. Findings showed stronger relationships between inhibitory control scores and functional connectivity in a right middle frontal gyrus (MFG) cluster in trained children compared to children from the control group. Seed-based analyses revealed that connectivity between the r-MFG and homolateral parietal and superior temporal areas were more strongly related to inhibitory control in trained children compared to the control group. These findings highlight the relevance of computer-based cognitive training, integrated in real-life school environments, in boosting cognitive/academic performance and brain functional connectivity. info:eu-repo/grantAgreement/ES/MICINN/PSI2017-84556-P info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 2.512 2019 BEHAVIORAL SCIENCES 23 / 52 = 0.442 2019 Q2 T2 NEUROSCIENCES 180 / 271 = 0.664 2019 Q3 T3 1.199 2019 Behavioral Neuroscience 2019 Q1 Neuropsychology and Physiological Psychology 2019 Q1 Cognitive Neuroscience 2019 Q2 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Inuggi, Alberto Castillo, Alejandro Campoy, Guillermo García-Santos, Jose Maria González-Salinas, Carmen Fuentes, Luis J. 4009 735 Universidad de Zaragoza Dpto. Psicología y Sociología Área Psicolog.Evolut.Educac 13 (2019) Frontiers in behavioral neuroscience FRONTIERS IN BEHAVIORAL NEUROSCIENCE 1662-5153 2335500 http://zaguan.unizar.es/record/86494/files/texto_completo.pdf Versión publicada 23653 http://zaguan.unizar.es/record/86494/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:86494 articulos driver 2020-07-16-09:54:59 ARTICLE