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2025, Number 01

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Med Int Mex 2025; 41 (01)

Tomographic cortical changes and their relationship with the Montreal Cognitive Assessment

Silva CR, Cardoso F, Camacho RJ, Martínez MJF, Calderón OM, Fernández RMF
Full text How to cite this article

Language: Spanish
References: 21
Page: 17-23
PDF size: 421.72 Kb.


Key words:

Cognitive dysfunction, Mental status and dementia tests, Tomography.

ABSTRACT

Objective: To determine the relationship between cortical changes and the results of the Montreal Cognitive Assessment.
Materials and Methods: A single-center, observational, transversal, cohort study was conducted from March 2022 to June 2023 in the Radiology department at Zone General Hospital 20 in Puebla, Mexico, including patients aged 50 to 90 years who underwent the Montreal test prior to the tomographic study, where the Evans index, cranial-brain distance and interhemispheric width were measured. The results were expressed with descriptive statistics, Spearman’s correlation coefficient, and significance value of 0.05.
Results: One hundred six patients were studied, consisting of 50 men and 56 women, with an average age of 66.5 ± 11 years; 72 presented normal cognitive function, 28 had mild cognitive impairment and 6 had dementia. The Spearman correlation coefficient obtained between cognitive function and the Evans index was: r = 0.597; for the cranial-brain distance: r = 0.443 and for the interhemispheric width: r = 0.551
Conclusions: There is a low to moderate positive relationship between the Montreal Cognitive Assessment results and tomographic index of cortical atrophy.


REFERENCES

  1. Benavides-Caro CA. Deterioro cognitivo en el adulto mayor.Rev Mex Anest 2017; 40 (2): 107-112.

  2. Choreño-Parra J, De la Rosa-Arredondo T, Guadarrama-Ortiz P. Abordaje diagnóstico del paciente con deteriorocognitivo en el primer nivel de atención. Med Int Mex 2020; 36 (6): 807-824. https://doi.org/10.24245/mim.v36i6.3203

  3. Chrzan R, Glen A, Bryll A, Urbanik A. Computed tomographyassessment of brain atrophy in centenarians. Int JEnviron Res Public Health 2019; 16 (19): 3659. https://doi.org/10.3390/ijerph16193659

  4. Hernández-Cortés KS, Mesa-Pujals AA, García-Gómez O,Montoya PA. Brain morphometry in adults: volumetricvisualization as a tool in image processing. Rev Mex Neur2021; 22 (3). https://doi.org/10.24875/rmn.20000074

  5. Fernández Viadero C, Verduga Vélez R, Crespo SantiagoD. Patrones de envejecimiento cerebral. Rev Esp GeriatrGerontol. 2017; 52: 7-14. https://doi.org/10.1016/s0211-139x(18)30073-8

  6. Romo-Galindo DA, Padilla-Moya E. Utilidad de los test cognoscitivosbreves para detectar la demencia en poblaciónmexicana. Arch Neurociencias 2020; 23 (4): 26-34. https://doi.org/10.31157/archneurosciencesmex.v23i4.2

  7. Martí-Climent JM, Prieto E, López-Lafuente J, Arvizu J. Neuroimagen:fundamentos técnicos y prácticos. Rev Esp MedNuclear 2010; 29 (4): 189-210. https://doi.org/10.1016/j.remn.2010.05.00

  8. Aguilar-Navarro SG, Mimenza-Alvarado AJ, Palacios-GarcíaAA, et al. Validez y confiabilidad del MoCA (MontrealCognitive Assessment) para el tamizaje del deterioro cognoscitivoen México. Rev Colomb Psiquiatr 2017; 47 (4):237-243. https://doi.org/10.1016/j.rcp.2017.05.003

  9. Delgado C, Araneda A, Behrens MI. Validación del instrumentoMontreal Cognitive Assessment en español en adultosmayores de 60 años. Neurología 2017; 34 (6): 376-385.https://doi.org/10.1016/j.nrl.2017.01.013

  10. Sartori P, Alvarado L, Chirveches M, et al. Medicionesfrecuentes en el sistema nervioso central mediante tomografíacomputada e imágenes de resonancia magnética.Rev Argent Radiol 2020; 84 (01): 009-016. https://doi.org/10.1055/s-0040-1701274

  11. Ali Abd Al-Hameed K. Spearman’s correlation coefficient instatistical analysis. Int J Nonlinear Anal Appl 2022; 13 (1):3249-3255. doi: 10.22075/ijnaa.2022.6079

  12. López Argüelles J. Relación entre los cambios anatómicosy funcionales de los pacientes con deterioro cognitivoluego de un año del diagnóstico. Rev Neuropsicol PsiquiatrNeurociencias 2015; 15: 2.

  13. Del Brutto OH, Mera RM, Zambrano M, et al. Global corticalatrophy (GCA) associates with worse performance in theMontreal Cognitive Assessment (MoCA). A populationbasedstudy in community-dwelling elders living in ruralEcuador. Arch Gerontol Geriatr 2014; 60 (1): 206-209.https://doi.org/10.1016/j.archger.2014.09.010

  14. Toloza Ramírez D, Martella D. Reserva cognitiva y demencias:limitaciones del efecto protector en el envejecimientoy el deterioro cognitivo. Rev Med Chile 2019;147 (12): 1594-1612. https://doi.org/10.4067/s0034-98872019001201594

  15. White RS, Barber JM, Harp JP, Jicha GA. Examining the effectsof formal education level on the Montreal CognitiveAssessment. J Am Board Fam Med. 2022; 35(6):1043-1057.https://doi.org/10.3122/jabfm.2022.220093r1

  16. Gülen HKA, Yildirim A, Emre U, et al. Evaluation of MoCAscale ratings with cognitive level correlation in mild cognitivedisorders. Istanbul Med J 2017; 18 (1): 18-22. https://doi.org/10.5152/imj.2017.46704

  17. Wahlund L, Westman E, van Westen D, et al. Imaging biomarkersof dementia: recommended visual rating scaleswith teaching cases. Insights Imaging 2016; 8 (1): 79-90.https://doi.org/10.1007/s13244-016-0521-6

  18. Paul R, Lane EM, Tate DF, et al. Neuroimaging signaturesand cognitive correlates of the Montreal Cognitive Assessmentscreen in a nonclinical elderly sample. ArchClin Neuropsychol 2011; 26 (5): 454-460. https://doi.org/10.1093/arclin/acr017

  19. Alvarez Linera Prado J, Jiménez Huete A. Neuroimagenen demencia. Correlación clínico-radiológica. Radiología 2018; 61 (1): 66-81. https://doi.org/10.1016/j.rx.2018.08.004

  20. Adduru V, Baum SA, Zhang C, et al. A method to estimatebrain volume from head CT images and application to detectbrain atrophy in Alzheimer disease. Am J Neuroradiol2020; 41 (2): 224-230. https://doi.org/10.3174/ajnr.a6402

  21. Håkansson C, Torisson G, Londos E, et al. Structural imagingfindings on non-enhanced computed tomography areseverely underreported in the primary care diagnosticwork-up of subjective cognitive decline. Neuroradiology2019; 61 (4): 397-404. https://doi.org/10.1007/s00234-019-02156-6




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Med Int Mex. 2025;41