Montreal Cognitive Assessment Performance Research Articles

Reliable Change Indices and Minimum Detectable Change for the Montreal Cognitive Assessment in Electroconvulsive Therapy for Depression.

The Montreal Cognitive Assessment (MoCA) is a commonly used brief cognitive screening tool for monitoring adverse cognitive effects of electroconvulsive therapy (ECT). The aim of this study was to examine three statistical methods for detecting reliable change in the MoCA following ECT. In a prospective cohort study, 47 patients (mean age 55.2 [SD = 12.8], 59.6% female) with unipolar or bipolar depression treated with an acute course of brief-pulse ECT (72.3% right unilateral) and 47 depressed controls without ECT exposure were tested on the MoCA at baseline and retested at comparable time intervals. ECT patients' performance was also compared to published normative data from a community-based sample of older adults. We calculated proportions of ECT patients remaining stable, declining, and improving following ECT using practice-corrected reliable change index, standardized regression-based formulas, and minimum detectable change cutoff of ±4 MoCA points. Using the three methods, 72.3%-78.7% of ECT patients remained stable, 17.0%-23.4% declined, and 4.3% improved in MoCA performance following ECT compared to the two control groups. All three methods yield consistent estimates of reliable change in MoCA scores from pre- to post-brief-pulse ECT. The minimum detectable change approach may be the most efficient and accessible method of detecting change due to simplicity of calculation.

Combining Mini-Mental State Examination and Montreal Cognitive Assessment for assessing the clinical efficacy of cholinesterase inhibitors in mild Alzheimer’s disease: a pilot study

Current drugs for Alzheimer’s Disease (AD), such as cholinesterase inhibitors (ChEIs), exert only symptomatic activity. Different psychometric tools are needed to assess cognitive and non-cognitive dimensions during pharmacological treatment. In this pilot study, we monitored 33 mild-AD patients treated with ChEIs. Specifically, we evaluated the effects of 6 months (Group 1 = 17 patients) and 9 months (Group 2 = 16 patients) of ChEIs administration on cognition with the Mini-Mental State Examination (MMSE), the Montreal Cognitive Assessment (MoCA), and the Frontal Assessment Battery (FAB), while depressive symptoms were measured with the Hamilton Depression Rating Scale (HDRS). After 6 months (Group 1), a significant decrease in MoCA performance was detected. After 9 months (Group 2), a significant decrease in MMSE, MoCA, and FAB performance was observed. ChEIs did not modify depressive symptoms. Overall, our data suggest MoCA is a potentially useful tool for evaluating the effectiveness of ChEIs.

Montreal Cognitive Assessment (MoCA) XpressO: Validation of a digital self-administered cognitive prescreening tool.

The need for cognitive testing is increasing with the aging population and the advent of new Alzheimer disease therapies. To respond to the increased demand, the XpressO was developed as a self-administered digital cognitive prescreening tool that will help distinguish between populations of subjective and objective cognitive impairment according to the Montreal Cognitive Assessment (MoCA). This is a prospective validation study. XpressO is composed of tasks that assess memory and executive functions. It is validated compared to the digital MoCA as a gold standard. Out of 118 participants screened from the MoCA Clinic and a family practice clinic, 88 met inclusion criteria, two participants had missing data due to incomplete tasks, 86 participants were included in the analysis; the mean age was 70.34 years. A logistic regression model was built, and its accuracy was evaluated by the sensitivity, specificity, and Area Under the Curve (AUC) of the Receiver Operating Characteristic. Analysis showed strong correlation between (1) XpressO memory tasks scores and the MoCA Memory Index Score (p-values < 0.001), and between (2) XpressO sub-test scores and MoCA total score (p-values < 0.005). The AUC for predicting MoCA performance is 0.845. To classify individuals with normal and abnormal MoCA scores, two threshold values were introduced for the total XpressO scores: sensitivity of 91% at a cutoff of 72, specificity of 90% at a cutoff of 42, and an undetermined range in between. XpressO demonstrated high AUC, high sensitivity and specificity to predict cognitive performance compared to the digital MoCA. It may provide efficient cognitive prescreening by identifying individuals who would benefit from further clinical assessments, potentially reducing waiting times and high burden on healthcare clinics.

Comparing Montreal Cognitive Assessment Performance in Parkinson's Disease Patients: Age- and Education-Adjusted Cutoffs vs. Machine Learning.

The Montreal Cognitive Assessment (MoCA) is recommended for general cognitive evaluation in Parkinson's disease (PD) patients. However, age- and education-adjusted cutoffs specifically for PD have not been developed or systematically validated across PD cohorts with diverse education levels. In this retrospective analysis, we utilized data from 1,293 Korean patients with PD whose cognitive diagnoses were determined through comprehensive neuropsychological assessments. Age- and education-adjusted cutoffs were formulated based on 1,202 patients with PD. To identify the optimal machine learning model, clinical parameters and MoCA domain scores from 416 patients with PD were used. Comparative analyses between machine learning. and different cutoff criteria were conducted on an additional 91 consecutive patients with PD. The cutoffs for cognitive impairment decrease with increasing age within the same education level. Similarly, lower education levels within the same age group correspond to lower cutoffs. For individuals aged 60-80 years, cutoffs were set as follows: 25 or 24 years for those with more than 12 years of education, 23 or 22 years for 10-12 years, and 21 or 20 years for 7-9 years. Comparisons between age- and education-adjusted cutoffs and the machine learning method showed comparable accuracies. The cutoff method resulted in a higher sensitivity (0.8627), whereas machine learning yielded higher specificity (0.8250). Both the age- and education-adjusted cutoff. and machine learning. demonstrated high effectiveness in detecting cognitive impairment in PD patients. This study highlights the necessity of tailored cutoffs and suggests the potential of machine learning to improve cognitive assessment in PD patients.

Hearing loss, hearing aid use, and performance on the Montreal cognitive assessment (MoCA): findings from the HUNT study in Norway.

To evaluate the associations between hearing status and hearing aid use and performance on the Montreal Cognitive Assessment (MoCA) in older adults in a cross-sectional study in Norway. This study utilized data from the fourth wave of the Trøndelag Health Study (HUNT4, 2017-2019). Hearing thresholds at frequencies of 0.5, 1, 2, and 4 kHz (or PTA4) in the better hearing ear were used to determine participants' hearing status [normal hearing (PTA4 hearing threshold, ≤ 15 dB), or slight (PTA4, 16-25 dB), mild (PTA4, 26-40 dB), moderate (PTA4, 41-55 dB), or severe (PTA4, ≥ 56 dB) hearing loss]. Both standard scoring and alternate MoCA scoring for people with hearing loss (deleting MoCA items that rely on auditory function) were used in data analysis. The analysis was adjusted for the confounders age, sex, education, and health covariates. The pattern of results for the alternate scoring was similar to that for standard scoring. Compared with the normal-hearing group, only individuals with moderate or severe hearing loss performed worse in the MoCA. In addition, people with slight hearing loss performed better in the MoCA than those with moderate or severe hearing loss. Within the hearing loss group, hearing aid use was associated with better performance in the MoCA. No interaction was observed between hearing aid use and participants' hearing status with performance on the MoCA test. While hearing loss was associated with poorer performance in the MoCA, hearing aid use was found to be associated with better performance in the MoCA. Future randomized control trials are needed to further examine the efficacy of hearing aid use on the MoCA performance. When compared with standard scoring, the alternate MoCA scoring had no effect on the pattern of results.

Associations between cognitive screening performance and motor symptoms in Parkinson's disease:a systematic review and meta-analysis.

Despite a body of research examining relationships between motor symptoms and cognitive dysfunction in PD, no prior study has undertaken a systematic review of the magnitude of the relationship between motor symptoms and cognitive screening performance in PD. This study was a systematic review and meta-analysis of the relationship between cognitive screening performance, as assessed by the Montreal Cognitive Assessment (MoCA), and motor symptoms of PD. After the systematic screening, 20 studies were included, and meta-regressions using mixed-effects models were conducted. Motor symptoms across included studies were relatively mild, but average MoCA scores were at the established cutoff for risk of dementia in PD. The average disease duration was 5 years. Consistent with hypotheses, more severe motor symptoms were associated with lower MoCA scores (r=-0.22 (95%CI -0.29 to -0.16), p<0.001), indicating worse cognitive functioning. The results indicate a significant negative correlation between MoCA performance and motor symptoms of PD. Average MoCA scores captured early disease-stage cognitive impairment when motor symptoms remained relatively mild. Serial screening for cognitive impairment beginning early in the disease course may be of benefit to ensure that cognitive dysfunction is detected as it arises.

Clinical Manifestations.

Education level is a well-recognized co-factor for cognitive performance and a potential confounder in the application of cognitive evaluations in diverse populations. The Montreal Cognitive Assessment (MoCA) is a widely utilized screening tool for Mild Cognitive Impairment (MCI) composed of 6 domains of cognition: Executive Function (EFC), Attention and Concentration (AC), Language (LANG), Visuospatial (VIS), Memory (MEM), and Orientation (ORIEN). Education is currently accounted for globally by adding 1 point to the total MoCA score. This study considers the impact of education level on a domain-specific scoring of the MoCA. We utilized longitudinal subject level data from one site within the MarkVCID Consortium (UCSF) composed of 578 subjects (59.5% female; 82.9% white), mean age 71.5 (+/- 8.7). Mean educational level was 15.3 (+/-4.7) years. Within the cohort, 37 subjects lacked educational level and were omitted (final n = 541). Multivariate linear regression models were used to relate educational level with total and domain specific MoCA score performance at baseline while controlling for the influence of age, sex, and recognized MarkVCID biomarkers that impact cognitive performance including white matter hyperintensity (logWMH), fractional anisotropy (FA), free water (FW), and peak width of skeletonized mean diffusivity (PSMD). An age-, sex-adjusted model replicated a significant association of education level with MoCA total score (p<0.001, b = .336). Among the MoCA domains, EFC was most affected by education level (p<.001, b = .412), followed by AC (p<.001, b = .352). Other MoCA domains were not significantly associated with educational level. Several MoCA domains, namely MEM and ORIEN, showed an association with MarkVCID biomarkers including WMH and FW (p-values <.001). In regression models controlled for MarkVCID imaging biomarkers, educational level remained significantly associated with total and domain-specific MoCA performance. Education does not equally contribute to all cognitive domains assessed by the MoCA, mostly affecting EFC and AC. These findings suggest that considering education level in a domain-specific manner could provide a more accurate interpretation of the cognitive impairment.

Sleep Disorders and Cognitive Aging Among Cognitively Impaired Versus Unimpaired Older Adults.

Sleep disorders often predict or co-occur with cognitive decline. Yet, little is known about how the relationship unfolds among older adults at risk for cognitive decline. To examine the associations of sleep disorders with cognitive decline in older adults with unimpaired cognition or impaired cognition (mild cognitive impairment and dementia). A total of 5,822 participants (Mage = 70) of the National Alzheimer's Coordinating Center database with unimpaired or impaired cognition were followed for 3 subsequent waves. Four types of clinician-diagnosed sleep disorders were reported: sleep apnea, hyposomnia/insomnia, REM sleep behavior disorder, or "other." Cognition over time was measured by the Montreal Cognitive Assessment (MoCA) or an estimate of general cognitive ability (GCA) derived from scores based on 12 neuropsychological tests. Growth curve models were estimated adjusting for covariates. In participants with impaired cognition, baseline sleep apnea was related to better baseline MoCA performance (b = 0.65, 95% confidence interval [95% CI] = [0.07, 1.23]) and less decline in GCA over time (b = 0.06, 95% CI = [0.001, 0.12]). Baseline insomnia was related to better baseline MoCA (b = 1.54, 95% CI = [0.88, 2.21]) and less decline in MoCA over time (b = 0.56, 95% CI = [0.20, 0.92]). Furthermore, having more sleep disorders (across the 4 types) at baseline predicted better baseline MoCA and GCA, and less decline in MoCA and GCA over time. These results were only found in those with impaired cognition and generally consistent when using self-reported symptoms of sleep apnea or insomnia. Participants with sleep disorder diagnoses may have better access to healthcare, which may help maintain cognition through improved sleep.

51 Importance of Using Baseline Verbal Abilities When Interpreting the MOCA Test Performance

Objective:The Montreal Cognitive Assessment (MOCA) is widely used as a mental status screening test to detect cognitive impairment in adults over 55 years of age. Performance on this test ranges from 0 to 30. One point is given to individuals with 12 or lower years of education. This accommodation is based on the fact that low education may be a risk factor for dementia (Milani et al., 2018). However, studies suggest the one-point adjustment may not be sufficient to address the impact of low education on test performance (Malek-Ahmadi et al., 2015). The aim of this study is to compare the effects of educational achievement versus baseline verbal abilities on MOCA performance.Participants and Methods:Fifty patients (25 male; mean age=72.78, SD = 8.11; mean education=16.18, SD = 2.73) with cognitive concerns were referred to Massachusetts General Brigham. All underwent neuropsychological evaluation, including screening with the MOCA. Total MOCA scores were calculated. In this patient group, the MOCA scores ranged from 10 to 29 (mean=22, SD=5.129). Measures of literacy (Wechsler Test of Adult Reading or Test of Premorbid Functioning) were used to estimate baseline verbal abilities. Educational achievement was based on self-reported years of education.Results:Correlational analyses included the Total MOCA scores, measures of literacy, and years of education. Performance on the MOCA significantly correlated with measures of literacy, r(43)=.578, p&lt; .001, and a stepwise regression analysis revealed that literacy predicted performance on the MOCA, R2=.041, F(3,139)= 9.172, p&lt;.001. Years of education correlated with measures of literacy, r(44)=.494, p&lt; .001, but not with performance on the MOCA.Conclusions:Findings suggest that education-adjusted scoring on the MOCA may not be sufficient to “level the playing field” in terms of MOCA performance. Years of education had less of an effect on the Total MOCA scores than did baseline verbal abilities. It may be the case that literacy has a more robust effect on MOCA performance due to the inherent verbal nature of the MOCA. Data from this study highlight the importance of considering a patient’s baseline verbal abilities in the interpretation of their MOCA performance.

76 The Effects of Strategies-Based Training in Improving Memory Outcomes in Healthy Older Adults

Objective:The goal of our study was to examine the possible effects of a strategies-based training intervention on objective memory performance and subjective memory in healthy older adults. While slight declines in memory naturally occur in the aging process, these changes may impact the quality of life for older adults.Participants and Methods:Patients (n = 11, aged 50-80, mean age = 70.73, SD = 4.41) with subjective memory complaints were recruited from memory clinics within an academic medical center. All participants engaged in one-on-one, three one-hour memory training sessions over the course of several weeks to undergo strategies-based training intervention (e.g., mnemonics). All participants completed neuropsychological battery of tests at baseline and at post-intervention (about 8-10 weeks after baseline). Tests included the Montreal Cognitive Assessment (MoCA), the Hopkins Verbal List Test (HVLT-R), the Visual Reproduction subtest of the Weschler Memory Scale (WMS-IV), and the Multiphasic Memory Questionnaire.Results:Data were analyzed using a mixed between-within subjects ANOVA and t-tests. Groups were created based on the participant’s MoCA score. While a total of 11 participants completed baseline testing and the memory training sessions, two did not return for post-intervention testing; as such their data were excluded from analyses. Older adults with a MoCA score of 26-30 (n = 6), but not older adults with a MoCA score 25 and below (n = 3), had a significant improvement in visual learning and encoding, F (1, 7) = 10.028, r = .50, p &lt; .05. The high MoCA performers demonstrated an improved performance in their immediate visual memory from baseline (M = 10, SD = 3.53) to post-intervention (M = 12, SD = 3.35), t(9) = .895, p = .001 (two-tailed). Ratings of memory satisfaction among high MoCA performers also increased from baseline (M = 48, SD = 11.47) to post-intervention (M = 51, SD = 5.43), t(9) = .707, p &lt; .05 (two-tailed). Among both groups, a significant increase in perceived memory ability was demonstrated from baseline (M = 50, SD =10.1) to post-intervention (M = 54, SD = 12.35), t(8) = .807, p &lt; .05 (two-tailed).Conclusions:These findings indicate that a brief memory training program may improve visual encoding and subjective memory in healthy older adults with memory concerns. Individuals with subjective memory concerns who undergo a cognitive training program seem to demonstrate improved encoding of nonverbal material. These participants also reported a greater memory satisfaction and improved perceived memory ability after completion of a memory training program. Interestingly, these findings were only seen in adults whose MoCA performance was within normal limits. Although a systematic review suggests the improvement of memory performances on cognitively impaired participants (Simon, Yokomizo, &amp; Bottino, 2012), this may not have been demonstrated in the current study due to a low sample size and/or to the brief duration of the cognitive training. Future directions include increasing sample size and offering booster sessions to explore whether cognitively impaired adults may benefit from repetition.

Frontal adenosine triphosphate markers from 31P MRS are associated with cognitive performance in healthy older adults: preliminary findings.

Aging is associated with declines in mitochondrial efficiency and energy production which directly impacts the availability of adenosine triphosphate (ATP), which contains high energy phosphates critical for a variety of cellular functions. Previous phosphorous magnetic resonance spectroscopy (31P MRS) studies demonstrate cerebral ATP declines with age. The purpose of this study was to explore the functional relationships of frontal and posterior ATP levels with cognition in healthy aging. Here, we measured frontal and posterior ATP levels using 31P MRS at 3 Tesla (3 T) and assessed cognition using the Montreal Cognitive Assessment (MoCA) in 30 healthy older adults. We found that greater frontal, but not posterior, ATP levels were significantly associated with better MoCA performance. This relationship remained significant after controlling for age, sex, years of education, and brain atrophy. In conclusion, our findings indicate that cognition is related to ATP in the frontal cortex. These preliminary findings may have important implications in the search for non-invasive markers of in vivo mitochondrial function and the impact of ATP availability on cognition. Future studies are needed to confirm the functional significance of regional ATP and cognition across the lifespan.

Six multidimensional sleep health facets in older adults identified with factor analysis of actigraphy: Results from the Einstein Aging Study

ObjectivesThe concept of multi-dimensional sleep health, originally based on self-report, was recently extended to actigraphy in older adults, yielding five components, but without a hypothesized rhythmicity factor. The current study extends prior work using a sample of older adults with a longer period of actigraphy follow-up, which may facilitate observation of the rhythmicity factor. MethodsWrist actigraphy measures of participants (N = 289, Mage = 77.2 years, 67% females; 47% White, 40% Black, 13% Hispanic/Others) over 2 weeks were used in exploratory factor analysis to determine factor structures, followed by confirmatory factor analysis on a different subsample. The utility of this approach was demonstrated by associations with global cognitive performance (Montreal Cognitive Assessment). ResultsExploratory factor analysis identified six factors: Regularity: standard deviations of four sleep measures: midpoint, sleep onset time, night total sleep time (TST), and 24-hour TST; Alertness/Sleepiness (daytime): amplitude, napping (mins and #/day); Timing: sleep onset, midpoint, wake-time (of nighttime sleep); up-mesor, acrophase, down-mesor; Efficiency: sleep maintenance efficiency, wake after sleep onset; Duration: night rest interval(s), night TST, 24-hour rest interval(s), 24-hour TST; Rhythmicity (pattern across days): mesor, alpha, and minimum. Greater sleep efficiency was associated with better Montreal Cognitive Assessment performance (β [95% confidence interval] = 0.63 [0.19, 1.08]). ConclusionsActigraphic records over 2 weeks revealed that Rhythmicity may be an independent factor in sleep health. Facets of sleep health can facilitate dimension reduction, be considered predictors of health outcomes, and be potential targets for sleep interventions.

Diagnostics and clinical usability of the Montreal Cognitive Assessment (MoCA) in amyotrophic lateral sclerosis.

BackgroundThe present study aimed at (1) assessing the diagnostic properties of the Montreal Cognitive Assessment (MoCA) in non-demented ALS patients and at (2) exploring the MoCA administrability according to motor-functional status.MaterialsN = 348 patients were administered the MoCA and Edinburgh Cognitive and Behavioural ALS Screen (ECAS). Administrability rates and prevalence of defective MoCA scores were compared across King’s and Milano-Torino clinical stages. Regression models were run to test whether the non-administrability of the MoCA and a defective score on it were predicted, net of the ECAS-Total, by disease duration, ALS Functional Rating Scale-Revised (ALSFRS-R) and progression rate, computed as (48: ALSFRS-R)/disease duration. Intrinsic and post-test diagnostics were tested against a below-cut-off ECAS-total score.ResultsThe 79.9% of patients successfully underwent the MoCA, whose administrability rates decreased with advanced clinical stages, at variance with its defective score prevalence. The probability of the FAB not being administrable was predicted only by lower ALSFRS-R-bulbar and-upper-limb scores; no motor features, but the ECAS-Total, predicted a defective MoCA performance. The MoCA showed high accuracy (AUC = 0.82) and good intrinsic and post-test properties—being slightly more specific than sensitive.DiscussionIn non-demented ALS patients, the MoCA is featured by optimal diagnostics as a screener for cognitive impairment, especially for ruling-out its occurrence, as long as patients are in the early stages of the disease and have sufficiently spared bulbar and upper-limb functions.

Standardised results of the Montreal Cognitive Assessment (MoCA) for neurocognitive screening in a Chilean population

IntroductionPopulation ageing poses a challenge for countries in preventing and detecting neurodegenerative disorders. The Montreal Cognitive Assessment (MoCA), a short, simple, valid, and reliable screening test, assesses general cognitive status, and is useful in public health contexts. This study aims to normalise and standardise the MoCA test for the Chilean population. MethodWe performed a descriptive, correlational validation study of the MoCA test, using a sample including 526 healthy individuals of both sexes, aged between 18 and 90 years, from the north, centre, and south of Chile. We analysed the effects of age, education level, and sex on MoCA performance. ResultsAge and education level had a significant impact on general cognitive performance, as determined by MoCA score. Age, education, and sex account for 1%-7% of variance. The mean (standard deviation) score for the total sample was 24.04 (3.22), whereas the normal range originally defined for the instrument is 26-30 points. Older adults with less formal education presented poorer results and lower cognitive performance. We propose a protocol for evaluating results by percentiles and scores for different age ranges, and an individual normalised scalar score. DiscussionWe present normative data for the MoCA test in the Chilean population, and propose cut-off points for different age ranges to discriminate normal cognitive performance from neurocognitive disorders; results are adjusted for education level. This proposal would assist in the use of the test and reduce the rate of false positives.

Montreal Cognitive Assessment: Normative Data for Cognitively Healthy Swedish 80- to 94-Year-Olds.

Background:The Montreal Cognitive Assessment (MoCA) is sensitive to cognitive impairment; however, it is also sensitive to demographic and socio-cultural factors. This necessitates reliable sub-population norms, but these are often lacking for older adults.Objective:To present demographically adjusted regression-based MoCA norms for cognitively healthy Swedish older adults.Methods:A pseudo-random sample of community-dwelling 80- to 94-year-olds, stratified by age and gender, was invited to the study. Initial telephone interviews and medical records searches (n = 218) were conducted to screen for cognitive impairment. N = 181 eligible participants were administered a protocol including the Swedish version of the MoCA and assessments of global cognition (Mini-Mental State Examination, MMSE) and depression (Patient Health Questionnaire-9, PHQ-9). Individuals scoring in the range of possible cognitive impairment on the MMSE or more than mild depression on the PHQ-9 were excluded (n = 23); three discontinued the test-session.Results:Norms were derived from the remaining n = 158. They were evenly distributed by gender, on average 85 years old, and with a mean education of 11 years. MoCA scores were independently influenced by age and education, together explaining 17.2% of the total variance. Higher age and lower education were associated with lower performance and 46% performed below the original cut-off (< 26/30).Conclusion:The negative impact of increasing age on MoCA performance continues linearly into the nineties in normal aging. Demographic factors should be considered when interpreting MoCA performance and a tool for computing demographically corrected standard scores is provided.

Prediction of post-stroke cognitive impairment by Montreal Cognitive Assessment (MoCA) performances in acute stroke: comparison of three normative datasets

BackgroundCognitive assessment in acute stroke is relevant for identifying patients at risk of persistent post-stroke cognitive impairment (PSCI). Despite preliminary evidence on MoCA accuracy, there is no consensus on its optimal score in the acute stroke setting to predict PSCI.Aims(1) To explore whether the application of different normative datasets to MoCA scores obtained in the acute stroke setting results in variable frequency of patients defined as cognitively impaired; (2) to assess whether the normality cut-offs provided by three normative datasets predict PSCI at 6–9 months; (3) to calculate alternative MoCA cut-offs able to predict PSCI.MethodsConsecutive stroke patients were reassessed at 6–9 months with extensive neuropsychological and functional batteries for PSCI determination.ResultsOut of 207 enrolled patients, 118 (57%) were followed-up (mean 7.4 ± 1.7 months), and 77 of them (65%) received a PSCI diagnosis. The application of the normality thresholds provided by the 3 normative datasets yielded to variable (from 28.5% to 41%) rates of patients having an impaired MoCA performance, and to an inadequate accuracy in predicting PSCI, maximizing specificity instead of sensitivity. In ROC analyses, a MoCA score of 22.82, adjusted according to the most recent normative dataset, achieved a good diagnostic accuracy in predicting PSCI.ConclusionsThe classification of acute stroke patients as normal/impaired based on MoCA thresholds proposed by general population normative datasets underestimated patients at risk of persistent PSCI. We calculated a new adjusted MoCA score predictive of PSCI in acute stroke patients to be further tested in larger studies.

Montreal Cognitive Assessment (MoCA) performance in Huntington's disease patients correlates with cortical and caudate atrophy.

Huntington’s Disease (HD) is an autosomal neurodegenerative disease characterized by motor, cognitive, and psychiatric symptoms. Cognitive impairment develops gradually in HD patients, progressing later into a severe cognitive dysfunction. The Montreal Cognitive Assessment (MoCA) is a brief screening test commonly employed to detect mild cognitive impairment, which has also been useful to assess cognitive decline in HD patients. However, the relationship between MoCA performance and brain structural integrity in HD patients remains unclear. Therefore, to explore this relationship we analyzed if cortical thinning and subcortical nuclei volume differences correlated with HD patients’ MoCA performance. Twenty-two HD patients and twenty-two healthy subjects participated in this study. T1-weighted images were acquired to analyze cortical thickness and subcortical nuclei volumes. Group comparison analysis showed a significantly lower score in the MoCA global performance of HD patients. Also, the MoCA total score correlated with cortical thinning of fronto-parietal and temporo-occipital cortices, as well as with bilateral caudate volume differences in HD patients. These results provide new insights into the effectiveness of using the MoCA test to detect cognitive impairment and the brain atrophy pattern associated with the cognitive status of prodromal/early HD patients.

Hip Accelerometry Activity Patterns Improve Machine Learning Prediction of 1-Year MoCA Score Change

We tested whether free-living hip accelerometry measures improved prediction of 1-year change in Montreal Cognitive Assessment (MoCA) scores beyond clinically available information. We analyzed data (n=126) from predominantly African American (78.2%) older adults without moderate-severe dementia residing near our geriatrics clinic. Age (73.6 ±6.1 years), gender, education, comorbidities, income, and MoCA performance were collected at baseline; participants then wore a right hip, triaxial Actigraph accelerometer (30Hz) continuously for 7 days. A MoCA was repeated at 1 year. Six measures were calculated from the daytime (7am-5pm) data: mean/variance of hourly counts per minute, mean/variance of daily percent of time spent in the lowest activity quartile, and mean/variance of daily percent of time spent in the highest activity quartile. In a random forest model containing baseline MoCA, demographics and comorbidities, the accelerometry measures improved prediction of 1-year MoCA performance by ~17.8%. Accelerometry data may be clinically useful for predicting early cognitive decline.

The association between visual discrimination and cognitive decline prior to clinical diagnosis

AbstractBackgroundThe development of dependable screening methods would allow for the early detection of incipient Alzheimer's disease (AD). Alzheimer’s pathology accumulates in the perirhinal cortex (PRC) well before diagnosis. Converging lines of research show the PRC critically contributes to object visual processing, especially when disambiguating between objects that have highly overlapping features (Barense et al., 2010; Bussey et al., 2002). Previous research has shown that healthy older adults with a genetic risk (i.e., family history) for AD, performed worse at discriminating novel objects than those without a genetic risk (Mason et al., 2017). A dependable screening method, such as a visual discrimination task, could help identify cognitive decline earlier than a typical screening tool.MethodTwenty‐nine healthy older adults were tested on a visual discrimination task and were also administered the Montreal Cognitive Assessment (MoCA). Based on their MoCA scores, the participants were divided into an “at‐risk” group (n=13) and a “healthy” group (n=16). Each trial consisted of the simultaneous presentation of three visually similar images. Participants were instructed to identify the image that was inconsistent with the other two as quickly and accurately as possible. Images were divided into three categories: faces, scenes, and objects.ResultThe at‐risk group scored significantly lower on the visual discrimination task when compared to the healthy group (p = 0.004). Further, there was a significant interaction between visual image category and MoCA performance on accuracy. This interaction was due to the large difference in accuracy between the two groups in the object category (p &lt; 0.001). Finally, the category had a significant effect on accuracy, where both groups scored significantly lower in the object category (p &lt; 0.001).ConclusionThis study shows participants who are at‐risk for mild cognitive impairment performed significantly worse on the visual discrimination task especially in the object condition, which is consistent with previous results in healthy older adults with a genetic risk of AD. Impaired visual discrimination could reflect very early AD pathology affecting the PRC. Visual discrimination tests could be developed into dependable screening tools allowing clinicians to make earlier predictions about who is most at risk for developing AD.

Novel measures to assess the association of IPA agitation criteria domains with cognition, caregiver burden and quality of life in dementia

AbstractBackgroundSyndromic agitation as per International Psychogeriatric Association (IPA) criteria consists of three domains: verbal aggression (VA), physical aggression (PA), and excessive motor activity (EMA). The relationships between these domains and cognition, caregiver burden, and patient quality of life are not well established. We examined these associations utilizing data from a multisite clinical trial using novel measures for these domains.MethodBaseline participant data (n=128) from Standardizing Care for Neuropsychiatric Symptoms and Quality of Life in Dementia (StaN) study were utilized. Recently described IPA domain‐specific measures were implemented: domain prevalence was assessed with the NPI‐C‐IPA (derived from the Neuropsychiatric Inventory Clinician rating scale) and the CMAI‐IPA (derived from the Cohen Mansfield Agitation Inventory). Kendall’s Tau‐B was utilized for correlations between agitation domains from both scales and the Montreal Cognitive Assessment (MoCA), Severe Cognitive Impairment Rating Scale (SCIRS), Zarit Burden Inventory (ZBI), and Alzheimer’s Disease Related Quality of Life (ADRQL).ResultUsing the NPI‐C‐IPA, 58.3% of participants had EMA, 58.3% VA, and 72.2% PA. With the CMAI‐IPA, 70.1% had EMA, 66.9% VA, and 45.2% PA. PA in both derived rating scales was correlated with poorer performance on the SCIRS (NPI‐C‐IPA: τb= ‐.21, p = .01, CMAI‐IPA: τb= ‐.29, p&lt;.001). NPI‐C‐IPA EMA was correlated with poorer MoCA performance (τb= ‐.31, p=.01). Agitation in all three domains on the NPI‐C‐IPA was correlated with greater caregiver burden (EMA: τb=.16, p =.02, VA: τb=.14, p=.04, PA: τb=.15, p =.02), whereas only EMA was correlated with caregiver burden on the CMAI‐IPA (τb=.13, p=.04). Across both derived scales, the PA and VA domains were significantly correlated with poorer patient quality of life (NPI‐C‐IPA VA: τb = ‐.13, p=.04, NPI‐C‐IPA PA: τb= ‐.16, p=.01, CMAI‐IPA VA: τb= ‐.14, p =.03, CMAI‐IPA PA: τb = ‐.26, p &lt;.001).ConclusionThe NPI‐C‐IPA and CMAI‐IPA both capture the IPA agitation domains, although differently. Domains measured with the NPI‐C‐IPA were more likely to correlate with the cognitive, caregiver burden, and quality of life outcomes compared to the CMAI‐IPA. Further research is required to determine the clinical significance of the differences in associations, and other salient domain‐specific features of the IPA agitation syndrome.