Abstract
Lexical and acoustic markers in spoken language can be used to detect mild cognitive impairment (MCI), a condition which is often a precursor to dementia and frequently causes some degree of dysphasia. Research to develop such a diagnostic tool for clinicians has been hindered by the scarcity of available data. This work uses domain adaptation to adapt Alzheimer’s data to improve classification accuracy of MCI. We evaluate two simple domain adaptation algorithms, AUGMENT and CORAL, and show that AUGMENT improves upon all baselines. Additionally we investigate the use of previously unconsidered discourse features and show they are not useful in distinguishing MCI from healthy controls.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
- 2.
We used ZCA whitening which is discussed in greater detail here: http://ufldl.stanford.edu/wiki/index.php/Whitening.
- 3.
Available at: http://nlp.stanford.edu/software/tagger.shtml.
- 4.
With one small modification: We ran a 7-fold cross validation instead of 10-fold because there was not enough target data in the 25% trial to divide into 10 folds.
References
Petersen, R.C.: Mild cognitive impairment as a diagnostic entity. J. Intern. Med. 256(3), 183–194 (2004)
Petersen, R.C.: Mild cognitive impairment. CONTINUUM: lifelong learning. Neurology 22(2, Dementia), 404–418 (2016)
Hsiung, G.Y.R., Donald, A., Grand, J., Black, S.E., Bouchard, R.W., Gauthier, S.G., Loy-English, I., Hogan, D.B., Kertesz, A., Rockwood, K., et al.: Outcomes of cognitively impaired not demented at 2 years in the Canadian cohort study of cognitive impairment and related dementias. Dement. Geriatr. Cogn. Disord. 22(5–6), 413–420 (2006)
Faber-Langendoen, K., Morris, J.C., Knesevich, J.W., LaBarge, E., Miller, J.P., Berg, L.: Aphasia in senile dementia of the Alzheimer type. Ann. Neurol. 23(4), 365–370 (1988)
McKeith, I.G., Galasko, D., Kosaka, K., Perry, E., Dickson, D.W., Hansen, L., Salmon, D., Lowe, J., Mirra, S., Byrne, E., et al.: Consensus guidelines for the clinical and pathologic diagnosis of dementia with lewy bodies (DLB) report of the consortium on DLB international workshop. Neurology 47(5), 1113–1124 (1996)
Weiner, M.F., Neubecker, K.E., Bret, M.E., Hynan, L.S.: Language in Alzheimer’s disease. J. Clin. Psychiatry 69(8), 1223 (2008)
Boise, L., Neal, M.B., Kaye, J.: Dementia assessment in primary care: results from a study in three managed care systems. J. Gerontol. Ser. A: Biol. Sci. Med. Sci. 59(6), M621–M626 (2004)
Mitchell, A.J.: A meta-analysis then accuracy of the mini-mental state examination in the detection of dementia and mild cognitive impairment. J. Psychiatr. Res. 43(4), 411–431 (2009)
Ahmed, S., Haigh, A.M.F., de Jager, C.A., Garrard, P.: Connected speech as a marker of disease progression in autopsy-proven Alzheimer’s disease. Brain 136(12), 3727–3737 (2013)
Rentoumi, V., Raoufian, L., Ahmed, S., de Jager, C.A., Garrard, P.: Features and machine learning classification of connected speech samples from patients with autopsy proven Alzheimer’s disease with and without additional vascular pathology. J. Alzheimer’s Dis. 42(s3), S3–S17 (2014)
Fraser, K.C., Hirst, G., Graham, N.L., Meltzer, J.A., Black, S.E., Rochon, E.: Comparison of different feature sets for identification of variants in progressive aphasia. In: ACL 2014, 17 (2014)
Fraser, K.C., Meltzer, J.A., Rudzicz, F.: Linguistic features identify Alzheimer’s disease in narrative speech. J. Alzheimer’s Dis. 49(2), 407–422 (2015)
Becker, J.T., Boiler, F., Lopez, O.L., Saxton, J., McGonigle, K.L.: The natural history of Alzeheimae’s disease: description of study cohort and accuracy of diagnosis. Arch. Neurol. 51(6), 585–594 (1994)
Roark, B., Mitchell, M., Hosom, J.P., Hollingshead, K., Kaye, J.: Spoken language derived measures for detecting mild cognitive impairment. IEEE Trans. Audio Speech Lang. Process. 19(7), 2081–2090 (2011)
Joty, S., Carenini, G., Ng, R.T.: CODRA: a novel discriminative framework for rhetorical analysis. Comput. Linguist. 41, 385–415 (2015)
Chapman, S.B., Ulatowska, H.K., King, K., Johnson, J.K., McIntire, D.D.: Discourse in early Alzheimer’s disease versus normal advanced aging. Am. J. Speech-Lang. Pathol. 4(4), 124–129 (1995)
Blonder, L.X., Kort, E.D., Schmitt, F.A.: Conversational discourse in patients with Alzheimer’s disease. J. Linguist. Anthropol. 4(1), 50–71 (1994)
Ellis, D.G.: Coherence patterns in Alzheimer’s discourse. Commun. Res. 23(4), 472–495 (1996)
Dijkstra, K., Bourgeois, M.S., Allen, R.S., Burgio, L.D.: Conversational coherence: discourse analysis of older adults with and without dementia. J. Neurolinguist. 17(4), 263–283 (2004)
Ellis, C., Henderson, A., Wright, H.H., Rogalski, Y.: Global coherence during discourse production in adults: a review of the literature. Int. J. Lang. Commun. Disord. 51, 359–367 (2016)
Laine, M., Laakso, M., Vuorinen, E., Rinne, J.: Coherence and informativeness of discourse in two dementia types. J. Neurolinguist. 11(1), 79–87 (1998)
Davis, B.H.: So, you had two sisters, right? Functions for discourse markers in Alzheimer’s talk. In: Davis, B.H. (ed.) Alzheimer Talk, Text and Context, pp. 128–145. Springer, Heidelberg (2005)
Feng, V.W.: RST-style discourse parsing and its applications in discourse analysis. Ph.D. thesis, University of Toronto (2015)
Chelba, C., Acero, A.: Adaptation of maximum entropy capitalizer: little data can help a lot. Comput. Speech Lang. 20(4), 382–399 (2006)
Blitzer, J., McDonald, R., Pereira, F.: Domain adaptation with structural correspondence learning. In: Proceedings of EMNLP 2006, Sydney, Australia, pp. 120–128, July 2006
Daume, H.: Frustratingly easy domain adaptation. In: Proceedings of ACL 2007 (2007)
Sun, B., Feng, J., Saenko, K.: Return of frustratingly easy domain adaptation. arXiv preprint (2015). arXiv:1511.05547
Giles, E., Patterson, K., Hodges, J.R.: Performance on the Boston cookie theft picture description task in patients with early dementia of the Alzheimer’s type: missing information. Aphasiology 10(4), 395–408 (1996)
Gao, S., Hendrie, H.C., Hall, K.S., Hui, S.: The relationships between age, sex, and the incidence of dementia and Alzheimer disease: a meta-analysis. Arch. Gen. Psychiatry 55(9), 809–815 (1998)
Covington, M.A., McFall, J.D.: Cutting the gordian knot: the moving-average type-token ratio (MATTR). J. Quant. Linguist. 17(2), 94–100 (2010)
Salsbury, T., Crossley, S.A., McNamara, D.S.: Psycholinguistic word information in second language oral discourse. Second Lang. Res. 27(3), 343–360 (2011)
Brysbaert, M., New, B.: Moving beyond Kučera and Francis: a critical evaluation of current word frequency norms and the introduction of a new and improved word frequency measure for American English. Behav. Res. Methods 41, 977–990 (2009)
Croisile, B., Ska, B., Brabant, M.J., Duchene, A., Lepage, Y., Aimard, G., Trillet, M.: Comparative study of oral and written picture description in patients with Alzheimer’s disease. Brain Lang. 53(1), 1–19 (1996)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Masrani, V., Murray, G., Field, T.S., Carenini, G. (2017). Domain Adaptation for Detecting Mild Cognitive Impairment. In: Mouhoub, M., Langlais, P. (eds) Advances in Artificial Intelligence. Canadian AI 2017. Lecture Notes in Computer Science(), vol 10233. Springer, Cham. https://doi.org/10.1007/978-3-319-57351-9_29
Download citation
DOI: https://doi.org/10.1007/978-3-319-57351-9_29
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-57350-2
Online ISBN: 978-3-319-57351-9
eBook Packages: Computer ScienceComputer Science (R0)