Preview

Neurology, Neuropsychiatry, Psychosomatics

Advanced search

Hippocampal magnetic resonance imaging morphometry and neuropsychological parameters in patients with Alzheimer's disease

https://doi.org/10.14412/2074-2711-2019-4-28-32

Full Text:

Abstract

Alzheimer's disease (AD) is the leading cause of dementia in the population. Difficulties in diagnosing AD have served as an incentive for actively studying different current methods that increase the accuracy of diagnosis of the current neurodegenerative process in this disease. One of these areas is the post-processing of magnetic resonance imaging (MRI) data, by exactly calculating the volume of various anatomical formations, namely MRI morphometry.
Objective: to determine the possible relationship between the results of evaluating the higher brain functions and the reduction in the hippocampal volume calculated by MRI morphometry in AD patients with mild and moderate dementia and in healthy controls.
Patients and methods. Examinations were made in 41 AD patients aged 70.63±8.38 years with mild and moderate dementia and in healthy individuals. All study participants underwent neuropsychological testing that included the Mini-Mental State Examination (MMSE), the frontal lobe dysfunction battery (FLDB); immediate and delayed 12-word recall trials (12-word test); Benton's revised visual retention test; test of literal and categorical associations; clock drawing test; and series number test, Part A. MRI was performed on a Siemens Magnetom Skyra 3T MRI scanner. Statistical Parametric Mapping software was used to convert images and the volume of the hippocampus was estimated by FMRIB Software Library.
Results and discussion. A statistically significant decrease in hippocampal volumes was established in patients with AD compared with healthy individuals. No statistically significant differences in hippocampal volumes were found in patients with varying degrees of dementia. Patients with mild and moderate dementia differed in all indicators of neuropsychological tests, with exception for the 12-word test and Benton's test. There was a statistically significant correlation of the total volume of the hippocampi with the indicators of MMSE, FLDB, 12- word test, clock drawing test, and test of categorical associations.
Conclusion. Hippocampal MRI morphometry in combination with neuropsychological tests is an informative technique in the diagnosis of AD. There is a relationship between the degree of hippocampal atrophy and the neuropsychological characteristics of patients.

About the Authors

N. N. Yakhno
I.M. Sechenov First Moscow State Medical University (Sechenov University), Ministry of Health of Russia
Russian Federation
11, Rossolimo St., Build. 1, Moscow 119021


N. N. Koberskaya
I.M. Sechenov First Moscow State Medical University (Sechenov University), Ministry of Health of Russia; Center for Information Technologies in Design, Russian Academy of Sciences
Russian Federation

11, Rossolimo St., Build. 1, Moscow 119021;

7a, Marshal Biryuzov St., Odintsovo, Moscow Region 143000



V. A. Perepelov
I.M. Sechenov First Moscow State Medical University (Sechenov University), Ministry of Health of Russia
Russian Federation
11, Rossolimo St., Build. 1, Moscow 119021


D. S. Smirnov
Center for Information Technologies in Design, Russian Academy of Sciences
Russian Federation
7a, Marshal Biryuzov St., Odintsovo, Moscow Region 143000


V. I. Solodovnikov
Center for Information Technologies in Design, Russian Academy of Sciences
Russian Federation
7a, Marshal Biryuzov St., Odintsovo, Moscow Region 143000


M. I. Trufanov
Center for Information Technologies in Design, Russian Academy of Sciences
Russian Federation
7a, Marshal Biryuzov St., Odintsovo, Moscow Region 143000


V. N. Gridin
Center for Information Technologies in Design, Russian Academy of Sciences
Russian Federation
7a, Marshal Biryuzov St., Odintsovo, Moscow Region 143000


References

1. Dementia: a public health priority. 2012. https://www.who.int/mental_health/publications/dementia_report_2012/ru/

2. Yakhno NN, Zakharov VV, Lokshina AB, et al. Dementsii: rukovodstvo dlya vrachei [Dementia: a guide for doctors]. 3rd ed. Moscow: MEDprecs-inform; 2011. 272 p.

3. Emelin AYu, Lobzin VYu, Zheleznyak IS, Boikov IV. Bolezn' Al'tsgeimera: uchebnoe posobie [Alzheimer's disease: a study guide]. Saint-Petersburg: VMedA im. S.M. Kirova; 2016. 76 p.

4. Levin OS. Diagnostika i lechenie kognitivnykh narushenii i dementsii v klinicheskoi praktike [Diagnosis and treatment of cognitive impairment and dementia in clinical practice]. Moscow: MEDpress-inform; 2019. 448 p.

5. McKhann GM, Knopman DS, Chertkow H, et al. The diagnosis of dementia due to Alzheimer's disease: recommendations from the National Institute on Aging and the Alzheimer's Assocation Workgroup. Alzheimers Dement. 2011 May;7(3):263-9. doi: 10.1016/j.jalz.2011.03.005. Epub 2011 Apr 21.

6. Braak H, Braak E. Morphological criteria for the recognition of Alzheimer's disease and the distribution pattern of cortical changes related to this disorder. Neurobiol Aging. 1994 May-Jun; 15(3):355-6; discussion 379-80.

7. Jack CR Jr, Barnes J, Bernstein MA, et al. Magnetic resonance imaging in Alzheimer's Disease Neuroimaging Initiative 2. Alzheimers Dement. 2015 Jul;11(7):740-56. doi: 10.1016/j.jalz.2015.05.002.

8. Kinnunen KM, Cash DM, Poole T, et al. Presymptomatic atrophy in autosomal dominant Alzheimer's disease: A serial magnetic resonance imaging study. Alzheimers Dement. 2018 Jan;14(1):43-53. doi: 10.1016/j.jalz.2017.06.2268. Epub 2017 Jul 22.

9. Weiner MW, Veitch DP, Aisen PS, et al. Impact of the Alzheimer's Disease Neuroimaging Initiative, 2004 to 2014. Alzheimers Dement. 2015 Jul;11(7):865-84. doi: 10.1016/j.jalz.2015.04.005.

10. Chow N, Hwang KS, Hurtz S, et al. Comparing 3T and 1.5T MRI for mapping hippocampal atrophy in the Alzheimer's Disease Neuroimaging Initiative. AJNR Am J Neuroradiol. 2015 Apr;36(4): 653-60. doi: 10.3174/ajnr.A4228. Epub 2015 Jan 22.

11. Promteangtrong C, Kolber M, Ramchandra P, et al. Multimodality Imaging Approach in Alzheimer disease. Part I: Structural MRI, Functional MRI, Diffusion Tensor Imaging and Magnetization Transfer Imaging. Dement Neuropsychol. 2015 Oct–Dec;9(4):318-329. doi: 10.1590/1980-57642015DN94000318.

12. Del Sole A, Malaspina S, Magenta Biasina A. Magnetic resonance imaging and positron emission tomography in the diagnosis of neurodegenerative dementias. Funct Neurol. 2016 Oct/Dec; 31(4):205-215.

13. Scahill RI, Schott JM, Stevens JM, et al. Mapping the evolution of regional atrophy in Alzheimer's disease: Unbiased analysis of fluidregistered serial MRI. Proc Natl Acad Sci U S A. 2002 Apr 2;99(7):4703-7.

14. Staffaroni AM, Elahi FM, McDermott D, et al. Neuroimaging in Dementia. Semin Neurol. 2017 Oct;37(5):510-537. doi: 10.1055/s-0037-1608808. Epub 2017 Dec 5.

15. Morra JH, Tu Z, Apostolova LG, et al. Automated 3D mapping of hippocampal atrophy and its clinical correlates in 400 subjects with Alzheimer's disease, mild cognitive impairment, and elderly controls. Hum Brain Mapp. 2009 Sep;30(9):2766-88. doi: 10.1002/hbm.20708.08

16. Peng GP, Feng Z, He FP, et al. Correlation of Hippocampal Volume and Cognitive Performances in Patients with Either Mild Cognitive Impairment or Alzheimer's disease. CNS Neurosci Ther. 2015 Jan;21(1):15-22. doi: 10.1111/cns.12317. Epub 2014 Aug 21.

17. Захаров ВВ, Вознесенская ТГ. Нервнопсихические нарушения: диагностические тесты. 2-е изд. Москва: МЕДпреcс-информ; 2013. 320 с. [Zakharov VV, Voznesenskaya TG. Nervno-psikhicheskie narusheniya: diagnosticheskie testy [Neuropsychiatric disorders: diagnostic tests]. 2nd ed. Moscow: MEDprecs-inform; 2013. 320 p.]

18. Muschelli J, Sweeney E, Lindquist M, Crainiceanu C. FSLR: Connecting the FSL Software with R. R J. 2015 Jun;7(1):163-175.

19. Bidgood WD Jr, Horii SC, Prior FW, Van Syckle DE. Understanding and using DICOM, the data interchange standard for biomedical imaging. J Am Med Inform Assoc. 1997 May-Jun;4(3):199-212. doi:10.1136/jamia.1997.0040199

20. Neuroimaging Informatics Technology Initiative. NIfTI-1 Data Format. https://www.nitrc.org/docman/view.php/26/204/TheNIfTI1Format2004.pdf

21. Smith SM. Fast robust automated brain extraction. Hum Brain Mapp. 2002 Nov;17(3): 143-55.

22. Patenaude B, Smith SM, Kennedy D, Jenkinson M. A Bayesian model of shape and appearance for subcortical brain segmentation. Neuroimage. 2011 Jun 1;56(3):907-22. doi: 10.1016/j.neuroimage.2011.02.046. Epub 2011 Feb 23.

23. Salmon DP, Bondi MW. Neuropsychological Assessment of Dementia. Annu Rev Psychol. 2009;60:257-82. doi: 10.1146/annurev.psych.57.102904.190024.

24. Jahn H. Memory loss in Alzheimer's disease. Dialogues Clin Neurosci. 2013 Dec;15(4): 445-54.

25. Lobzin VYu, Kiselev VN, Fokin VA, et al. Application of magnetic resonance morphometry in the diagnosis of Alzheimer's disease and vascular cognitive impairment. Vestnik rossiiskoi voenno-meditsinskoi akademii. 2013;(3):1-7. (In Russ.)

26. Neznanov NG, Anan'eva NI, Zalutskaya NM, et al. Brain imaging of the hippocampus: role in the diagnosis of Alzheimer's disease at an early stage. Obozrenie psikhiatrii i meditsinskoi psikhologii imeni V.M. Bekhtereva. 2018;(4):3-11. (In Russ.)

27. Smith AD. Imaging the progression of Alzheimer pathology through the brain. Proc Natl Acad Sci U S A. 2002 Apr 2;99(7):4135-7.

28. Schuff N, Woerner N, Boreta L, et al. MRI of hippocampal volume loss in early Alzheimer's disease in relation to ApoE genotype and biomarkers. Brain. 2009 Apr;132(Pt 4):1067-77. doi: 10.1093/brain/awp007. Epub 2009 Feb 27.

29. Chetelat G, Baron JC. Early diagnosis of Alzheimer's disease: contribution of structural neuroimaging. Neuroimage. 2003 Feb;18(2): 525-41.

30. Apostolova LG, Green AE, Babakchanian S, et al. Hippocampal atrophy and ventricular enlargement in normal aging, mild cognitive impairment (MCI), and Alzheimer Disease. Alzheimer Dis Assoc Disord. 2012 Jan-Mar; 26(1):17-27. doi: 10.1097/WAD.0b013e3182163b62.

31. Arlt S, Buchert R, Spies L, et al. Association between fully automated MRIbased volumetry of different brain regions and neuropsychological test performance in patients with amnestic mild cognitive impairment and Alzheimer's disease. Eur Arch Psychiatry Clin Neurosci. 2013 Jun;263(4):335-44. doi: 10.1007/s00406-012-0350-7. Epub 2012 Sep 1.

32. Wolk DA, Dickersond BC. Fractionating verbal episodic memory in Alzheimer's disease. Neuroimage. 2011 Jan 15;54(2):1530-9. doi: 10.1016/j.neuroimage.2010.09.005. Epub 2010 Sep 9.

33. Dawe RJ, Bennett DA, Schneider JA, Arfanakis K. Neuropathologic correlates of hippocampal atrophy in the elderly: a clinical, pathologic, postmortem MRI study. PLoS One. 2011;6(10):e26286. doi: 10.1371/journal.pone.0026286. Epub 2011 Oct 17.

34. Bonner-Jackson A, Mahmoud SY, Miller JB, et al. Verbal and non-verbal memory and hippocampal volumes in a memory clinic population. Alzheimers Res Ther. 2015 Oct 15;7(1):61. doi: 10.1186/s13195-015-0147-9.


For citation:


Yakhno N.N., Koberskaya N.N., Perepelov V.A., Smirnov D.S., Solodovnikov V.I., Trufanov M.I., Gridin V.N. Hippocampal magnetic resonance imaging morphometry and neuropsychological parameters in patients with Alzheimer's disease. Neurology, Neuropsychiatry, Psychosomatics. 2019;11(4):28-32. (In Russ.) https://doi.org/10.14412/2074-2711-2019-4-28-32

Views: 224


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2074-2711 (Print)
ISSN 2310-1342 (Online)