Montreal Cognitive Assessment

Freitas, Sandra; Simões, Mário R.; Alves, Lara Bacelar; Santana, Isabel

doi:10.1097/wad.0b013e3182420bfe

Cited by 381 publications

(212 citation statements)

References 28 publications

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“…Studies have demonstrated that the culturally and linguistically adapted versions of the MoCA are superior to the MMSE in screening for MCI [20,28,29], however, due to the differences in Western culture and difficulty in separating the influence of culture from education level, further revision of MoCA adaptations are required to tailor the contents more accurately to local populations across the globe as well as optimizing cut-offs for detecting MCI.…”

Section: Cross Cultural Cognitive Assessmentmentioning

confidence: 99%

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Cross-Cultural Applicability of the Montreal Cognitive Assessment (MoCA): A Systematic Review

O’Driscoll

Shaikh

2017

JAD

147

121

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The MoCA is widely used to screen for mild cognitive impairment. While there are many available versions, the cross cultural validity of the assessment has not been explored sufficiently.We aimed to interrogate the validity of the MoCA in a cross-cultural context: in differentiating mild cognitive impairment (MCI) from normal controls (NC); and identifying cut-offs and adjustments for age and education where possible. This review sourced a wide range of studies including case-control studies. In addition, we report findings for differentiating dementias from NC and MCI from dementias, however, these were not considered to be an appropriate use of the MoCA.The subject of the review assumes heterogeneity and therefore meta-analysis/es was not conducted. Quality ratings, forest plots of validated studies (sensitivity and specificity) with covariates (suggested cut-offs, age, education and country) and summary received operating characteristic curve (sROC) are presented.The results showed a wide range in suggested cutoffs for MCI cross culturally, with variability in levels of sensitivity and specificity ranging from low to high. Poor methodological rigour appears to have affected reported accuracy and validity of the MoCA.The review highlights the necessity for cross cultural considerations when using the MoCA, and recognizing it as a screen and not a diagnostic tool. Appropriate cutoffs and point adjustments for education are suggested.2

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Section: Cross Cultural Cognitive Assessmentmentioning

confidence: 99%

“…Where education level was broadly comparable the suggested cutoffs were 25/26, in the lower education Portuguese sample [28] the suggested cut off was 22.…”

Section: Europe (Germany Holland Poland Portugal)mentioning

confidence: 99%

Cross-Cultural Applicability of the Montreal Cognitive Assessment (MoCA): A Systematic Review

O’Driscoll

Shaikh

2017

JAD

147

121

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“…The 18 older adults (age = 79 ± 3.5, 13 females) that were eventually included for analysis had a score on the Montreal Cognitive Assessment (MoCA) of 26 ± 2.5 on a scale of 0-30. None scored below 22, the threshold for mild cognitive impairment (Freitas, Simões, Alves, & Santana, 2013). Of the 18 young participants tested (age 21 ± 1.2, 7 females), no participants were excluded or replaced.…”

Section: Participantsmentioning

confidence: 99%

Differences in chunking behavior between young and older adults diminish with extended practice

Barnhoorn

Asseldonk

Verwey

2017

Psychological Research

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Previous research found reduced motor chunking behavior in older adults compared to young adults. However, it remains unclear whether older adults are unable to use a chunking strategy or whether they are just slower in developing them. Our goal was to investigate the effect of extended practice on the development of chunking behavior in healthy older adults. A group of young and a group of healthy older adults between 74 and 85 years of age visited the lab on 2 days. A sequence of 3 and a sequence of 6 elements were both practiced 432 times in a discrete sequence production task. We found that age differences in chunking behavior, as measured by the difference between initiation and execution of the sequence, diminish with extended practice. Furthermore, in older, but not in young adults, slow responses that are often interpreted as the first response of a next motor chunk were associated with a finger that was also slow during performance of the random sequences. This finding calls for more attention to biomechanical factors in future theory about aging and sequence learning.

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“…It is also accurate in identifying early dementia [15]. The best cut-off score for the MoCA is unclear, with a cut-off of ≥22 shown to improve its sensitivity and specificity for MCI [16] and a cut-off of ≥20 suggested for dementia [17]. Further, it is important that screening tools are statistically robust and demonstrate high sensitivity [18], so that the rates of false negative classifications remain low.…”

Section: Introductionmentioning

confidence: 99%

Usability and Validity of a Battery of Computerised Cognitive Screening Tests for Detecting Cognitive Impairment

et al. 2015

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Background: Computerised cognitive screening (CCS) has the potential to detect cognitive impairment in the community, which is important for the early diagnosis of dementia. Objective: The aim of this study was to investigate the ability of older adults with dementia to engage with smart phone and tablet technologies and to determine the accuracy of a battery of CCS tasks to detect cognitive impairment in comparison with the Montreal Cognitive Assessment (MoCA). Methods: Patients with mild-moderate dementia (n = 40) attending a university-linked day hospital and normal controls (n = 20) completed (i) a questionnaire detailing the frequency and breadth of their technology use, (ii) three commercially available CCS tasks, and (iii) the MoCA. Results: The three CCS tasks were completed by 85% (n = 34) of the patients with dementia and all controls; only 4 reported the task as ‘hard'. Those with dementia scored significantly lower on the CCS than controls (p < 0.001). CCS scores correlated with total MoCA scores (r = 0.78, p < 0.01). Further, the CCS scores significantly predicted MoCA scores, controlling for the effects of age, gender, educational attainment, and frequency of technology use (β = 0.71, p < 0.001), explaining 65.2% of the variance. Total CCS and MoCA scores (cut-off score <24) had similar sensitivity (94 and 95%, respectively) and accuracy (area under the curve 0.94 and 0.99, respectively, p = 0.5) in discriminating dementia from controls, though the CSS had lower specificity (60 vs. 100% for the MoCA). Conclusion: The participants had little difficulty self-administering the CCS, which is an oft-cited barrier to computerised testing in this population. Our results support the criterion and construct validity of a CCS versus the commonly used MoCA. Although further research is required, CCS for cognitive impairment may be useful in the community and, by prompting referral to specialist services, could lead to an earlier diagnosis of dementia.

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Montreal Cognitive Assessment

Cited by 381 publications

References 28 publications

Cross-Cultural Applicability of the Montreal Cognitive Assessment (MoCA): A Systematic Review

Cross-Cultural Applicability of the Montreal Cognitive Assessment (MoCA): A Systematic Review

Differences in chunking behavior between young and older adults diminish with extended practice

Usability and Validity of a Battery of Computerised Cognitive Screening Tests for Detecting Cognitive Impairment

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