Graph analysis of verbal fluency test discriminate between patients with Alzheimer's disease, Mild Cognitive Impairment and normal elderly controls

Frontiers in Aging Neuroscience

Volumn 6, Issue JUL, 2014, Pages

  Bertola, Laiss ^a   Mota, Natalia Bezerra ^b   Copelli, Mauro ^c   Rivero, Thiago ^a   Diniz, Breno Satler ^a   Ribeiro, Marco Aurelio Romano Silva ^a   Ribeiro, Sidarta ^b   Malloy Diniz, Leandro Fernandes ^a  

^a FEDERAL UNIVERSITY OF MINAS GERAIS   (Brazil)

^b FEDERAL UNIVERSITY OF RIO GRANDE DO NORTE   (Brazil)

^c FEDERAL UNIVERSITY OF PERNAMBUCO   (Brazil)

Author keywords

Alzheime s disease; Elderly; Graph analysis; Mild cognitive impairment; Semantic verbal fluency

Indexed keywords

AGED; ALZHEIMER DISEASE; ANALYTIC METHOD; ARTICLE; CONTROLLED STUDY; DAILY LIFE ACTIVITY; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; DIFFERENTIAL DIAGNOSIS; FEMALE; GRAPH ANALYSIS; HUMAN; MAJOR CLINICAL STUDY; MALE; MILD COGNITIVE IMPAIRMENT; NEUROPSYCHOLOGICAL TEST; RECEIVER OPERATING CHARACTERISTIC; SEMANTICS; SENSITIVITY AND SPECIFICITY; SEX RATIO; SPEECH; SPEECH GRAPH ATTRIBUTES; VERBAL FLUENCY TEST;

EID: 84904619570     PISSN: None     EISSN: 16634365     Source Type: Journal    
DOI: 10.3389/fnagi.2014.00185     Document Type: Article

References (35)

1. Adlam, A-L. R., Bozeat, S., Arnold, R., Watson, P. & Hodges, J. R. (2006). Semantic knowledge in mild cognitive impairment and mild Alzheimer's disease. Cortex, 42, 675-684. doi: 10.1016/sOO 10-9452(08)70404-0
2. Amieva, H., Jacqmin-Gadda, H., Orgogozo, J-M., Le Carret, N., Helmer, C,. Dartigues, J-F. (2005). The 9 year cognitive decline before dementia of the Alzheimer type: a prospective population-based study. Brain, 128(5), 1093-1101. doi:10.1093/brain/awh451
3. Aretouli, E., Okonkwo, C. O., Samek, J. & Brandt, J. (2011). The fate of the 0.5s: predictors of 2-year outcome in mild cognitive impairment. Journal of International Neuropsychology Society, 17(2), 277-288. doi:10.1017/sl355617710001621
4. Bales, M. E., and Johnson, S. B. (2006). Graph theoretic modeling of large-scale semantic networks. Journal of BiomedicalInformatics, 39, 451-464. doi: 10.1016/j jbi.2005.10.007
5. Brucki, S. M. D., Malheiros, S. M. F., Okamoto, I. H., Bertolucci, P. H. F. (1997). Dados normativos para o teste de fluencia verbal categoria animais em nosso rneio. Arquivos de Neuropsiquiatria, 55 (1), 56-61.
6. Butts, C. T. (2009). Revisiting the Foundations of Network Analysis. Science, 325 (5939), 414-416. doi: 10.1126/science. 1171022.
7. Craik, F. I. M. & Bialystok, E. (2006). Cognition through the lifespan: mechanisms of change. Trends in Cognitive Sciences, 10(3), 131-138. doi:10.1016/j.tics.2006.01.007
8. De Deyne, S., and Storms, G. (2008). Word Associations: networ and semantic properties. Behavior Research Methods, 40(1), 213-231. doi: 10.3758/BRM. 40.1213
9. de Paula, J. J., Bertola, L., Avila, R. T., Moreira, L., Coutinho, G., Moraes, E. N., Malloy-Diniz, L. F. (2013). Clinical Applicability and Cutoff Values for an Unstructured Neuropsychological Assessment Protocol for Older Adults With Low Formal Education. Plos One, 8, E73167. doi: 10.1371/journal.pone.007316
10. Diniz, B. S. O., Yassuda, M. S., Nunes, P. V., Radanovic, M. & Forlenza, O. V. (2007). Minimental State Examination performance in mild cognitive impairment subtypes. International Psychogeriatrics, 19(4), 647-656. doi: 10.1590/S1516-44462008000400003
11. Garrard, P., Lambon Ralph, M. A., Patterson, K., Pratt, K. H. & Hodges, J. R. (2005). Semantic feature knowledge and picture naming in dementia of Alzheimer's type: a new approach. Brain and Language, 93, 79-94. doi:10.1016/j.bandl.2004.08.003
12. Griffiths, T. L., Steyvers, M., Tenenbaum, J. B. (2007). Topics in semantic representation. Psychological Review, 114(2), 211-244. doi: 10.1037/0033-295X. 114.2.211
13. Goni, J., Arrondo, G., Sepulcre, J., Martincorena, I, Mendizabal, N.V., Corominas-Murtra, B., Bejarano, B., Ardanza-Trevijano, S., Peraita, H. Wall, D. P., Villoslada, P. (2010). The semantic organization of the animal category: evidence from semantic verbal fluency and network theory. Cognitive Processing, doi: 10.1007/s 103 3 9-010-03 72-x
14. Henry, J. D., Crawford, J. R. & Phillips, L. H. (2004). Verbal fluency performance in dementia of the Alzheimer's type: a meta-analysis. Neuropsychologia, 42, 1212-1222. doi: 10.1016/j.neuropsychologia.2004.02.001
15. Hodges, J. R., Erzinclioglu, S., Patterson, K. (2006). Evolution of Cognitive Defi cits and Conversion to Dementia in Patients with Mild Cognitive Impairment: A Very-Long-Term Follow-Up Study. Dementia and Geriatric Cognitive Disorders, 21, 380-391. doi: 10.1159/000092534
16. Holler, Y., & Trinka, E. (2014). What do temporal lobe epilepsy and progressive mild cognitive impairment have in common? Frontiers in System Neuroscience, 8. doi:10.3389/fnsys.2014.00058
17. Huntley, J. D. & Howard, R. J. (2010). Working memory in early Alzheimer's disease: a neuropsychological review. International Journal of Geriatric Psychiatry, 25, 121-132. doi: 10.1002/gps.2314
18. Kotsiantis, S. B. (2007) Supervised machine learning: a review of classification techniques. In: Emerging artificial intelligence applications in computer engineering: real word AI systems with applications IOS Press, pp 3-24.
19. Lezak, M., Howieson, D. B., Loring, D. W. (2004). Neuropsychological Assessment. Oxford University Press, New York, 4th ed.
20. Lerner, A. J., Ogrocki, P. K., Thomas, P. T. (2009). Network Graph Analysis of Category Fluency Testing. Cognitive Behavioral Neurology, 22, 45-52. doi:10.1097/wnn.0b013e318192ccaf
21. McClelland, J. L., and Rogers, T. T. (2003). The parallel distributed processing approach to semantic cognition. Nature Review Neuroscience, 4, 310-323. doi: 10.1038/nrnl076.
22. McKhann G, Drachman D, Folstein M, Katzman R, Price D, Stadlan E. M. (1984). Clinical diagnosis of Alzheimer's disease: report of the NINCDS-ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer's. Neurology, 34, 939-944. doi: 10.1212/WNL.34.7.939
23. Mota, N. B., Vasconcelos, N. A. P, Lemos, N. Pieretti, A. C, Kinouchi, O., Cecchi, G. A., Ribeiro, S. (2012). Speech graphs provide a quantitative measure of thought disorder in psychosis. Plos One, 7(4), 1-9. doi:10.1371/journal.pone.0034928
24. Mota, M. B., Furtado, R., Maia, P. P. C, Copelli, M., Ribeiro, S. (2014). Graph analysis of dream reports is especially informative about psychosis. Scientific Reports, 4: 3691. doi: 10.1038/srep03691
25. Nickles, L. (2001). Spoken Word Production. In: Rapp, B. (Ed.) What Deficits Reveal about the Human Mind/Brain: A Handbook of Cognitive Neuropsychology. Philadelphia: Psychology Press.
26. Nutter-Upham, K. E., Saykin, A. 1, Rabin, L. A., Roth, R. M., Wishart, H. A., Pare, N. & Flashman, L. A. (2008). Verbal fluency performance in amnestic MCI and older adults with cognitive complaints. Achieves in Clinical Neuropsychology, 23(3), 229-41. doi: 10.10170S1355617706060590
27. Patterson, K., Nestor, P. J. & Rogers, T. T. (2007). Where do you know what you know? The representation of semantic knowledge in the human brain. Nature Reviews Neuroscience, 8, 976-988. doi:10.1038/nrn2277
28. Radanovic, M., Diniz, B. S, Mirandez, R. M., Novaretti, T. M. S., Flacks, M. K., Yassuda, M. S. & Forlenza, O. V. (2009). Verbal fluency in the detection of mild cognitive impairment and Alzheimer's disease among Brazilian Portuguese speakers: the influence of education. International Psychogeriatrics, 1 -7. doi: 10.1017/S104161020999063 9
29. Salmon, D.P., Thomas, R.G., Pay, M.M., Booth, A., Hofstetter, C.R., Thai, L.J. and Katzman, R. (2002). Alzheimer's disease can be accurately diagnosed in very mildly impaired individuals. Neurology, 59, 1022-1028. doi: 10.1212/wnl.59.7.1022
30. Saxton, J., Lopez, O. L., Ratcliff, G., Dulberg, C, Fried, L. P., Carlson, M. C, Kuller, L. (2004). Preclinical Alzheimer disease: Neuropsychological test performance 1.5 to 8 years prior to onset. Neurology, 63, 2341-2347. doi: 10.1017/S1041610208007631
31. Singh, M. & Provan, G. M. (1995) A comparison of induction algorithms for selective and nonselective Bayesian classifiers. In: Proc. 12th International Conference on Machine Learning. pp 497-505.
32. Strauss, E., Sherman, E. M. S. & Spreen, O. (2006). A Compendium of Neuropsychological Tests: Administration, Norms, and Commentary. United Kigdom: Oxford University Press.
33. Taler, V. & Phillips, N. A. (2008). Language performance in Alzheimer's disease and mild cognitive impairment: a comparative review. Journal of Clinical and Experimental Neuropsychology, 30(5), 501-556. doi: 10.1080/13803390701550128
34. Unsworth, N., Spillers, G. J., Brewer, G. A. (2011). Variation in verbal fluency: A latent variable analysis of clustering, switching, and overall performance. The Quarterly Journal of Experimental Psychology, 64(3), 447-466. doi: 10.1080/17470218.2010.505292
35. Winblad, B., Palmer, K., Kivipelto, M., Jelic, V., Fratiglioni, L., Wahlund, L. O., Petersen, R. C. (2004). Mild Cognitive Impairment - beyond controversies, towards a consensus: reports of the international working group on Mild Cognitive Impairment. Journal of International Medicine, 256, 240-246. doi: 10.1111/j.l365-2796.2004.01380.x