Hostname: page-component-cd9895bd7-dzt6s Total loading time: 0 Render date: 2024-12-25T05:00:29.415Z Has data issue: false hasContentIssue false

Alerting Network Dysfunction in Early Multiple Sclerosis

Published online by Cambridge University Press:  24 May 2012

Lucía Crivelli
Affiliation:
Department of Neurology, Raúl Carrea Institute for Neurological Research (FLENI), Buenos Aires, Argentina
Mauricio F. Farez*
Affiliation:
Department of Neurology, Raúl Carrea Institute for Neurological Research (FLENI), Buenos Aires, Argentina
Claudio D. González
Affiliation:
Department of Pharmacology, University of Buenos Aires School of Medicine. Argentina
Marcela Fiol
Affiliation:
Department of Neurology, Raúl Carrea Institute for Neurological Research (FLENI), Buenos Aires, Argentina
Alejandra Amengual
Affiliation:
Department of Neurology, Raúl Carrea Institute for Neurological Research (FLENI), Buenos Aires, Argentina
Ramón Leiguarda
Affiliation:
Department of Neurology, Raúl Carrea Institute for Neurological Research (FLENI), Buenos Aires, Argentina
Jorge Correale
Affiliation:
Department of Neurology, Raúl Carrea Institute for Neurological Research (FLENI), Buenos Aires, Argentina
*
Correspondence and reprint requests to: Mauricio F. Farez, Raúl Carrea Institute for Neurological Research, FLENI, Montañeses 2325, Buenos Aires (1428), Argentina. E-mail: [email protected]

Abstract

The objective of this study is to assess attention in recently diagnosed relapsing-remitting multiple sclerosis patients. Twenty-seven patients with early multiple sclerosis and low clinical disability scores (EDSS<2) and 27 sex-, age-, and education-matched healthy controls underwent attention assessment using the Attentional Network Test, a computerized task designed to measure efficiency independently in 3 attentional networks (Alerting, Orienting and Executive Control). MS patients had significantly less efficiency in the Alerting network (p = .006). In contrast, in the Orienting and Executive Control networks, they did not differ from controls. A significant interaction between Alerting and Executive Control was also found in the MS patients (p = .007). Early relapsing-remitting multiple sclerosis particularly affects the Alerting domain of attention, whereas the Orienting and Executive Control domains are not affected. (JINS, 2012, 18, 1–7)

Type
Research Articles
Copyright
Copyright © The International Neuropsychological Society 2012

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Amato, M.P., Ponziani, G., Siracusa, G., Sorbi, S. (2001). Cognitive dysfunction in early-onset multiple sclerosis: A reappraisal after 10 years. Archives of Neurology, 58(10), 16021606.CrossRefGoogle ScholarPubMed
Benedict, R., Fishman, I., McClellan, M., Bakshi, R., Weinstock-Guttman, B. (2003). Validity of the Beck Depression Inventory-Fast Screen in multiple sclerosis. Multiple Sclerosis, 9(4), 393396. doi:10.1191/1352458503ms902oaGoogle Scholar
Benedict, R.H., Cookfair, D., Gavett, R., Gunther, M., Munschauer, F., Garg, N., Weinstock-Guttman, B. (2006). Validity of the minimal assessment of cognitive function in multiple sclerosis (MACFIMS). Journal of the International Neuropsychological Society, 12(4), 549558.CrossRefGoogle ScholarPubMed
Breton, F., Plante, A., Legauffre, C., Morel, N., Ades, J., Gorwood, P., Dubertret, C. (2010). The executive control of attention differentiates patients with schizophrenia, their first-degree relatives and healthy controls. Neuropsychologia, 49(2), 203208. doi:S0028-3932(10)00499-9 [pii]CrossRefGoogle ScholarPubMed
Chiaravalloti, N.D., Deluca, J. (2008). Cognitive impairment in multiple sclerosis. Lancet Neurology, 7(12), 11391151. doi:10.1016/S1474-4422(08)70259-XGoogle Scholar
Confavreux, C., Vukusic, S., Moreau, T., Adeleine, P. (2000). Relapses and progression of disability in multiple sclerosis. The New England Journal of Medicine, 343(20), 14301438. doi:10.1056/NEJM200011163432001CrossRefGoogle ScholarPubMed
De Sonneville, L.M., Boringa, J.B., Reuling, I.E., Lazeron, R.H., Adèr, H.J., Polman, C.H. (2002). Information processing characteristics in subtypes of multiple sclerosis. Neuropsychologia, 40(11), 17511765.Google Scholar
Fan, J., McCandliss, B.D., Fossella, J., Flombaum, J.I., Posner, M.I. (2005). The activation of attentional networks. Neuroimage, 26(2), 471479. doi:S1053-8119(05)00098-4 [pii]10.1016/j.neuroimage.2005.02.004Google Scholar
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), 340347. doi:10.1162/089892902317361886Google Scholar
Fan, J., Posner, M. (2004). Human attentional networks. Psychiatrische Praxis, 31(Suppl 2), S210S214. doi:10.1055/s-2004-828484CrossRefGoogle ScholarPubMed
James, W. (1890). Principles of psychology. New York: Holt.Google Scholar
Jennekens-Schinkel, A., Sanders, E.A., Lanser, J.B., Van der Velde, E.A. (1988). Reaction time in ambulant multiple sclerosis patients. Part II. Influence of task complexity. Journal of the Neurological Sciences, 85(2), 187196.CrossRefGoogle ScholarPubMed
Johnson, K.A., Robertson, I.H., Barry, E., Mulligan, A., Daibhis, A., Daly, M., Bellgrove, M.A. (2008). Impaired conflict resolution and alerting in children with ADHD: Evidence from the Attention Network Task (ANT). The Journal of Child Psychology and Psychiatry, 49(12), 13391347. doi:10.1111/j.1469-7610.2008.01936.xGoogle Scholar
Kujala, P., Portin, R., Revonsuo, A., Ruutiainen, J. (1994). Automatic and controlled information processing in multiple sclerosis. Brain, 117(Pt 5), 11151126.Google Scholar
Leskin, L.P., White, P.M. (2007). Attentional networks reveal executive function deficits in posttraumatic stress disorder. Neuropsychology, 21(3), 275284. doi:10.1037/0894-4105.21.3.275Google Scholar
Minden, S.L., Schiffer, R.B. (1990). Affective disorders in multiple sclerosis. Review and recommendations for clinical research. Archives Neurology, 47(1), 98104.CrossRefGoogle ScholarPubMed
Polman, C.H., Reingold, S.C., Edan, G., Filippi, M., Hartung, H.P., Kappos, L., Wolinsky, J.S. (2005). Diagnostic criteria for multiple sclerosis: 2005 revisions to the “McDonald Criteria”. Annals of Neurology, 58(6), 840846. doi:10.1002/ana.20703Google Scholar
Posner, M.I., Rothbart, M.K., Vizueta, N., Levy, K.N., Evans, D.E., Thomas, K.M., Clarkin, J.F. (2002). Attentional mechanisms of borderline personality disorder. Proceedings of the National Academy of Sciences of the United States of America, 99(25), 1636616370. doi:10.1073/pnas.252644699Google Scholar
Posner, M.I., Sheese, B.E., Odludas, Y., Tang, Y. (2006). Analyzing and shaping human attentional networks. Neural Networks, 19(9), 14221429. doi:10.1016/j.neunet.2006.08.004Google Scholar
Rao, S.M. (1990). A manual for the brief repeatable battery of neuropsychological tests in multiple sclerosis. Milwaukee, WI: Medical College of Wisconsin.Google Scholar
Raz, A., Buhle, J. (2006). Typologies of attentional networks. Nature Reviews Neuroscience, 7(5), 367379. doi:10.1038/nrn1903Google Scholar
Reicker, L.I., Tombaugh, T.N., Walker, L., Freedman, M.S. (2007). Reaction time: An alternative method for assessing the effects of multiple sclerosis on information processing speed. Archives of Clinical Neuropsychology, 22(5), 655664. doi:10.1016/j.acn.2007.04.008Google Scholar
Schulz, D., Kopp, B., Kunkel, A., Faiss, J.H. (2006). Cognition in the early stage of multiple sclerosis. Journal of Neurology, 253(8), 10021010. doi:10.1007/s00415-006-0145-8CrossRefGoogle ScholarPubMed
Tombaugh, T.N., Berrigan, L.I., Walker, L.A., Freedman, M.S. (2010). The Computerized Test of Information Processing (CTIP) offers an alternative to the PASAT for assessing cognitive processing speed in individuals with multiple sclerosis. [Comparative Study]. Cognitive and Behavioral Neurology, 23(3), 192198. doi:10.1097/WNN.0b013e3181cc8bd4CrossRefGoogle Scholar
Urbanek, C., Weinges-Evers, N., Bellmann-Strobl, J., Bock, M., Dorr, J., Hahn, E., Paul, F. (2010). Attention Network Test reveals alerting network dysfunction in multiple sclerosis. Multiple Sclerosis, 16(1), 9399. doi:10.1177/1352458509350308CrossRefGoogle ScholarPubMed