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Markers of Alzheimer’s disease in handwriting

https://doi.org/10.30629/2658-7947-2021-26-6-16-28

Abstract

The aim of the research. Alzheimer’s disease is the most common form of dementia. One of the potential tools for early detection of the onset of the disease is the handwriting analysis. It can be a warning signal for a serious medical investigation. The dynamics of handwriting changes are also a good indicator of the progression of the disease and the eff ectiveness of therapy.

Methods. The authors have developed two corresponding tests. The fi rst (AD-HS) allows the assessment of handwriting markers of cognitive impairment and Alzheimer’s disease from an available handwriting sample. The second (ADHC) is designed to assess dynamics by comparing two handwritten documents written at diff erent times.

Results. The pilot study includes 16 patients who were found to be at diff erent stages of the disease by medical examination. They all provided old handwriting samples dated 10–20 years ago and new handwriting samples specifi cally written as part of the experiment. Evaluation of 36 handwriting characteristics showed that both tests were eff ective in identifying Alzheimer’s disease and its stage. The correlation between the handwriting analysis and the medical test result was 0.62.

Conclusion. Further refi nement of the proposed tests and expansion of the research base will enable handwriting exercises to be incorporated into supportive therapy to slow the progression of the disease.

About the Authors

Y. G. Chernov
IHS Institute for Handwriting Sciences
Switzerland

Zurich



Zh. A. Zholdasova
LLP “Universal Brain Center”
Kazakhstan

Almaty



References

1. Shah Y., Tangalos E.G., Petersen R.C. Mild cognitive impairment. When is it a precursor to Alzheimer’s disease? Geriatrics. 2000;55:65–68.

2. Renteria M.A., Vonk J., Felix G., Avila J.A., Zahodne L.B., Dalchand E., Frazer K.M., Martinez M.N., Shouel H.L., Manly J.J. Neurology. 2019;93(24):e2247–e2256. https://doi.org/10.1212/ WNL.0000000000008587

3. Werner P., Rosenblum S., Bar-On G., Heinik J., Korczyn A. Handwriting Process Variables Discriminating Mild Alzheimer’s Disease and Mild Cognitive Impairment. Journals of Gerontology: Series B Psychological Sciences and Social Sciences. 2006;61(4):228–236. https://doi.or;g/10.1093/geronb/61.4.p228

4. Chernov Y.G., Application of handwriting analysis in medicine. Medicinskaja psichologija v Rossii. 2020;12(6):65. (in Russ.) http://www. mprj.ru/archiv_global/2020_6_65/nomer04.php

5. Allen M. Foundations of Forensic Document Analysis. Theory and Practice. Chichester: Wiley-Blackwell. 2016. ISBN 978-1- 118-72993-9

6. Zesiger P., Mounoud P., Hauert C.-A. Eff ects of lexicality and trigram frequency on handwriting production in children and adults. Acta psychologica. 1993;82(1–3):353–365.

7. Croislie B. Agraphia in Alzheimer’s disease. Dementia and Geriatric Cognitive Disorders. 1999;10:226–230.

8. Horner J., Heyman A., Dawson D., Rogers H. The Relationship of Agraphia to the Severity of Dementia in Alzheimer’s Disease. Archives of Neurology. 1988;45:760–763. https://doi. org/10.1001/archneur.1988.00520310066019

9. LaBarge E., Smith D.S., Dick L., Storandt M. Agraphia in dementia of the Alzheimer type. Archives of Neurology. 1992;49(11):1151–1156. https://doi.org/10.1001/archneur.1992.00530350065021

10. Kemper S., LaBarge E., Ferraro F.R., Cheung H., Cheung H., Storandt M. On the preservation of syntax in Alzheimer’s disease: Evidence from written sentences. Archives of Neurology. 1993;50:81–86. https://doi.org/10.1001/archneur.1993.00540010075021

11. Hughes J.C., Graham N., Patterson K., Hodges J.R. Dysgraphia in mild dementia of Alzheimer’s type. Neuropsychologia. 1997;35:533–545. https://doi.org/10.1016/ s0028-3932 (96)00102-9

12. Nakamura H., Nakanishi M., Hamanaka T., Nakaaki S., Yoshida S. Semantic priming in patients with Alzheimer and semantic dementia. Cortex. 2000;36:151–162. https://doi.org/10.1016/ S0010-9452 (08)70521-5

13. Neils-Strunjas J., Shuren J., Roeltgen D., Brown C. Perseverative Writing Errors in a Patient with Alzheimer’s Disease. Brain and Language. 1998;63(3):303–320. https://doi.org/10.1006/ brln.1997.1935

14. Graham N. Dysgraphia in dementia. Neurocase. 2000;6:365– 376. https://doi.org/10.1080/13554790008402708

15. Eyigoz E., Mathur S., Santamaria M., Cecchi G., Naylor M. Linguistic markers predict onset of Alzheimer’s disease. EClinicalMedicine. 2020;October 22. https://doi.org/10.1016/j. eclinm.2020.100583

16. Orimaye S.O., Wong, Golden K.J., Wong C.P., Soyiri I.N. Predicting probable Alzheimer’s disease using linguistic defi cits and biomarkers. BMC Bioinformatics. 2017;18(34). https://doi. org/10.1186/s12859-016-1456-0

17. Schröter A., Mergl R., Bürger K., Hampel H., Möller H.-J., Hegerl U. Kinematic Analysis of Handwriting Movements in Patients with Alzheimer’s Disease, Mild Cognitive Impairment, Depression and Healthy Subjects. Dementia and Geriatric Cognitive Disorder. 2003;15:132–142. https://doi.org/10.1159/000068484

18. Chernov Y.G. Kompjuternye metody analiza pocherka. Zurich: IHS Books. 2021. (In Russ.). ISBN 978-3-75316-409-0

19. Chernov Y.G. Psychologicheskiy analiz pocherka: sistemnyj podchod i kompjuternaja relizacija v psychologii, kriminologii i sudebnoj ekspertize. M.: Genesis. 2021. (In Russ.). ISBN 978- 5-98563-259-0

20. Engalychev V.F., Chernov Y.G. Psichologicheskij analiz ppocherka. Metodicheskie rekomendacii po formalizovannoj ocenke rukopisnogo dokumenta. M: FGBC GNC FMBC im. A. I. Butnazjana. 2019 (In Russ.). ISBN-978- 5-905926-71-6

21. Fontana P., Dagnino F., Cocito L., Balestrino M. Handwriting as a gauge of cognitive status: A novel forensic tool for posthumous evaluation of testamentary capacity. Neurological Science. 2008;29:257–261. https://doi.org/10.1007/s10072-008-0977-3


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For citations:


Chernov Y.G., Zholdasova Zh.A. Markers of Alzheimer’s disease in handwriting. Russian neurological journal. 2021;26(6):16-28. (In Russ.) https://doi.org/10.30629/2658-7947-2021-26-6-16-28

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ISSN 2658-7947 (Print)
ISSN 2686-7192 (Online)