Eficiencia de las redes atencionales en personas con diabetes mellitus tipo 1: Estudio piloto
Conteúdo do artigo principal
Resumo
Numerosos estudios han documentado que los pacientes con diabetes mellitus tipo 1 (DMT1) son susceptibles de padecer complicaciones estructurales, metabólicas y funcionales en el sistema nervioso central. Con el fin de comparar la eficiencia de las redes atencionales entre pacientes con DMT1 y personas sanas, 5 pacientes con DMT1 y 5 personas sanas respondieron el Test de Redes Atencionales. Se analizó la eficiencia de las redes atencionales: alerta, orientación y control ejecutivo en ambos grupos, así como la correlación entre la eficiencia de estas redes y los niveles de glucosa en sangre. Aunque no se observaron diferencias significativas en la eficiencia de las redes entre los grupos, sí se observó una relación entre la glucemia y la eficiencia de la red de control, así como también en la influencia de la red de control sobre la red de orientación.
Detalhes do artigo
![Creative Commons License](http://i.creativecommons.org/l/by/4.0/88x31.png)
Este trabalho está licenciado sob uma licença Creative Commons Attribution 4.0 International License.
Commons Attribution License, CCAL). Com esta licença, os autores conservam o direito de propriedade sobre artigos mas permitem que qualquer pessoa façam download e distribuam os artigos publicados na RACC sem necessidade da permissão do autor ou editor. Uma última condição é que sempre, e em todos os casos, o autor e a fonte original de publicação (p.e., RACC) sejam citados. Esta licença foi desenvolvido para facilitar o acesso aberto, gratuito e livre a trabalhos originais do arte e ciência.
Como Citar
Referências
Asvold, B. O., Sand, T., Hestad, K., & Bjorgaas, M. R. (2010). Cognitive Function in Type 1 Diabetic Adults with Early Exposure to Severe Hypoglycemia A 16-year follow-up study. Diabetes Care, 33(9), 1945-1947. doi: 10.2337/dc10-0621
Bade-White, P. A., & Obrzut, J. E. (2009). The neurocognitive effects of type 1 diabetes mellitus in children and young adults with and without hypoglycemia. Journal of Developmental and Physical Disabilities, 21(5), 425-440. doi: 10.1007/s10882-009-9151-y
Brands, A. M., Biessels, G. J., De Haan, E. H., Kappelle, L. J., & Kessels, R. P. (2005). The effects of type 1 diabetes on cognitive performance: A meta-analysis. Diabetes Care, 28(3), 726-735. doi: 10.2337/diacare.28.3.726
Brands, A. M., Biessels, G. J., Kappelle, L. J., De Haan, E. H., de Valk, H. W., Algra, A., & Kessels, R. P. (2007). Cognitive functioning and brain MRI in patients with type 1 and type 2 diabetes mellitus: a comparative study. Dementia and Geriatric Cognitive Disorders, 23(5), 343-350. doi: 10.1159/000100980
Brands, A. M., Kessels, R. P., Hoogma, R. P., Henselmans, J. M., van der Beek Boter, J. W., Kappelle, L. J., … Biessels, G. J. (2006). Cognitive performance, psychological well-being, and brain magnetic resonance imaging in older patients with type 1 diabetes. Diabetes, 55(6), 1800-1806. doi: 10.2337/db05-1226
Cato, A., & Hershey, T. (2016). Cognition and Type 1 Diabetes in Children and Adolescents. Diabetes Spectrum, 29(4), 197-202. doi: 10.2337/ds16-0036
Cox, D. J., Kovatchev, B. P., Gonder-Frederick, L. A., Summers, K. H., McCall, A., Grimm, K. J., & Clarke, W. L. (2005). Relationships between hyperglycemia and cognitive performance among adults with type 1 and type 2 diabetes. Diabetes Care, 28(1), 71-77. doi: 10.2337/diacare.28.1.71
Fan, J., McCandliss, B. D., Sommer, T., Raz, A., & Posner, M. I. (2002). Testing the efficiency and independence of attentional networks. Journal of Cognitive Neuroscience, 14(3), 340-347. doi: 0.1162/089892902317361886
Ferguson, S. C., Blane, A., Perros, P., McCrimmon, R. J., Best, J. J., Wardlaw, J., … Frier, B. M. (2003). Cognitive ability and brain structure in type 1 diabetes relation to microangiopathy and preceding severe hypoglycemia. Diabetes, 52(1), 149-156. doi: 10.2337/diabetes.52.1.149
Ferguson, S. C., Blane, A., Wardlaw, J., Frier, B. M., Perros, P., McCrimmon, R. J., & Deary, I. J. (2005). Influence of an early-onset age of type 1 diabetes on cerebral structure and cognitive function. Diabetes Care, 28(6), 1431-1437. doi: 10.2337/diacare.28.6.1431
Gallardo-Moreno, G. B., González-Garrido, A. A., Gudayol-Ferré, E., & Guàrdia-Olmos, J. (2015). Type 1 diabetes modifies brain activation in young patients while performing visuospatial working memory tasks. Journal of Diabetes Research, 2015, 1-9. doi: 10.1155/2015/703512
Gaudieri, P. A., Chen, R., Greer, T. F., & Holmes, C. S. (2008). Cognitive function in children with type 1 diabetes a meta-analysis. Diabetes Care, 31(9), 1892-1897. doi: 10.2337/dc07-2132
Hannonen, R., Tupola, S., Ahonen, T., & Riikonen, R. (2003). Neurocognitive functioning in children with type-1 diabetes with and without episodes of severe hypoglycaemia. Developmental Medicine & Child Neurology, 45(04), 262-268. doi: 10.1017/S0012162203000501
Kirchhoff, B. A., Jundt, D. K., Doty, T., & Hershey, T. (2017). A longitudinal investigation of cognitive function in children and adolescents with type 1 diabetes mellitus. Pediatric Diabetes, 18(6), 443-449. doi: 10.1111/pedi.12414
Kodl, C. T., & Seaquist, E. R. (2008). Cognitive dysfunction and diabetes mellitus. Endocrine Reviews, 29(4), 494-511. doi: 10.1210/er.2007-0034
Li, W., Huang, E., & Gao, S. (2017). Type 1 Diabetes Mellitus and Cognitive Impairments: A Systematic Review. Journal of Alzheimer's Disease, 57(1), 29-36. doi: 10.3233/JAD-161250
Lin, A., Northam, E. A., Rankins, D., Werther, G. A., & Cameron, F. J. (2010). Neuropsychological profiles of young people with type 1 diabetes 12 yr after disease onset. Pediatric Diabetes, 11(4), 235-243. doi: 10.1111/j.1399-5448.2009.00588.x
Lin, A., Northam, E. A., Werther, G. A., & Cameron, F. J. (2015). Risk factors for decline in IQ in youth with type 1 diabetes over the 12 years from diagnosis/illness onset. Diabetes Care, 38(2), 236-242. doi: 10.2337/dc14-1385
MacLeod, J. W., Lawrence, M. A., McConnell, M. M., Eskes, G. A., Klein, R. M., & Shore, D. I. (2010). Appraising the ANT: Psychometric and theoretical considerations of the Attention Network Test. Neuropsychology, 24(5), 637-651. doi: 10.1037/a0019803
Marzelli, M. J., Mazaika, P. K., Barnea-Goraly, N., Hershey, T., Tsalikian, E., Tamborlane, W., … Reiss, A. L. (2014). Neuroanatomical correlates of dysglycemia in young children with type 1 diabetes. Diabetes, 63(1), 343-353. doi: 10.2337/db13-0179
McConnell, M. M., & Shore, D. I. (2011). Mixing measures: testing an assumption of the Attention Network Test. Attention, Perception, & Psychophysics, 73(4), 1096-1107. doi: 10.3758/s13414-010-0085-3
McCrimmon, R. J., Ryan, C. M., & Frier, B. M. (2012). Diabetes and cognitive dysfunction. The Lancet, 379(9833), 2291-2299. doi: 10.1016/S0140-6736(12)60360-2
Monette, M. C., Baird, A., & Jackson, D. L. (2014). A meta-analysis of cognitive functioning in nondemented adults with type 2 diabetes mellitus. Canadian Journal of Diabetes, 38(6), 401-408. doi: 10.1016/j.jcjd.2014.01.014
Naguib, J. M., Kulinskaya, E., Lomax, C. L., & Garralda, M. E. (2009). Neuro-cognitive performance in children with type 1 diabetes a meta-analysis. Journal of Pediatric Psychology, 34(3), 271-282. doi: 10.1093/jpepsy/jsn074
Ohmann, S., Popow, C., Rami, B., König, M., Blaas, S., Fliri, C., & Schober, E. (2010). Cognitive functions and glycemic control in children and adolescents with type 1 diabetes. Psychological Medicine, 40(1), 95-103. doi: 10.1017/S0033291709005777
Organización Mundial de la Salud (2016). Nota Descriptiva No. 312. Recuperado de: http://www.who.int/mediacentre/factsheets/fs312/es/
Patiño‐Fernández, A. M., Delamater, A. M., Applegate, E. B., Brady, E., Eidson, M., Nemery, R., … Richton, S. (2010). Neurocognitive functioning in preschool‐age children with type 1 diabetes mellitus. Pediatric Diabetes, 11(6), 424-430. doi: 10.1111/j.1399-5448.2009.00618.x
Psychology Software Tools, Inc (2012). E-Prime 2.0 [software de computación]. Pittsburgh, PA: Psychology Software Tools, Inc.
R Core Team (2016). R: A language and environment for statistical computing [software de computación]. Austria, Viena: R Foundation For Statistical Computing.
Rodrigues, V. V., de Castro, R. M. A., Schamber, C. R., & Bazotte, R. B. (2014). Hypoglycemia induced by insulin as a triggering factor of cognitive deficit in diabetic children. The Scientific World Journal, 2014, 1-9. doi: 10.1155/2014/616534
Ryan, C. M., Klein, B. E., Lee, K. E., Cruickshanks, K. J., & Klein, R. (2016). Associations between recent severe hypoglycemia, retinal vessel diameters, and cognition in adults with type 1 diabetes. Journal of Diabetes and Its Complications, 30(8), 1513-1518. doi: 10.1016/j.jdiacomp.2016.08.010
Semenkovich, K., Patel, P. P., Pollock, A. B., Beach, K. A., Nelson, S., Masterson, J. J., … Arbeláez, A. M. (2016). Academic abilities and glycaemic control in children and young people with Type 1 diabetes mellitus. Diabetic Medicine, 33(5), 668-673. doi: 10.1111/dme.12854
Wang, Y. F., Cui, Q., Liu, F., Huo, Y. J., Lu, F. M., Chen, H., & Chen, H. F. (2014). A new method for computing attention network scores and relationships between attention networks. PloS One, 9(3), 1-8. doi: 10.1371/journal.pone.0089733
Wang, Y. F., Jing, X. J., Liu, F., Li, M. L., Long, Z. L., Yan, J. H., & Chen, H. F. (2015). Reliable attention network scores and mutually inhibited inter-network relationships revealed by mixed design and non-orthogonal method. Scientific Reports, 5(1), 1-10. doi: 10.1038/srep10251
Wessels, A. M., Rombouts, S. A. R. B., Remijnse, P. L., Boom, Y., Scheltens, P., Barkhof, F., … & Snoek, F. J. (2007). Cognitive performance in type 1 diabetes patients is associated with cerebral white matter volume. Diabetología, 50(8), 1763-1769. doi: 10.1007/s00125-007-0714-0
Westlye, L. T., Grydeland, H., Walhovd, K. B., & Fjell, A. M. (2010). Associations between regional cortical thickness and attentional networks as measured by the attention network test. Cerebral Cortex, 21(2), 345-356. doi: 10.1093/cercor/bhq101