Visual and Verbal Serial List Learning in Patients with Statistically-Determined Mild Cognitive Impairment

Learning ratio performance on a brief visual learning and memory test moderates cognitive training gains in Double Decision task in healthy older adults

Cognitive training using a visual speed-of-processing task, called the Useful Field of View (UFOV) task, reduced dementia risk and reduced decline in activities of daily living at a 10-year follow-up in older adults. However, there was variability in the achievement of cognitive gains after cognitive training across studies, suggesting moderating factors. Learning trials of visual and verbal learning tasks recruit similar cognitive abilities and have overlapping neural correlates with speed-of-processing/working memory tasks and therefore could serve as potential moderators of cognitive training gains. This study explored the association between the Hopkins Verbal Learning Test-Revised (HVLT-R) and Brief Visuospatial Memory Test-Revised (BVMT-R) learning with a commercial UFOV task called Double Decision. Through a secondary analysis of a clinical trial, we assessed the moderation of HVLT-R and BVMT-R learning on Double Decision improvement after a 3-month speed-of-processing/attention and working memory cognitive training intervention in a sample of 75 cognitively healthy older adults. Multiple linear regressions showed that better baseline Double Decision performance was significantly associated with better BVMT-R learning (β =  - .303). This association was not significant for HVLT-R learning (β =  - .142). Moderation analysis showed that those with poorer BVMT-R learning improved the most on the Double Decision task after cognitive training. This suggests that healthy older adults who perform below expectations on cognitive tasks related to the training task may show the greatest training gains. Future cognitive training research studying visual speed-of-processing interventions should account for differing levels of visuospatial learning at baseline, as this could impact the magnitude of training outcomes and efficacy of the intervention.

Instrumental activities of daily living and mild cognitive impairment

BACKGROUND

Functional impairments are a necessary requirement for the diagnosis of a dementia along with observed cognitive impairment. Comparatively, functional abilities are often relatively intact in those with mild cognitive impairment (MCI).

OBJECTIVE

The current research examined the associations between memory clinic participants classified as cognitively intact, amnestic MCI, and mixed/dysexecutive MCI, using Jak-Bondi criteria, and Instrumental Activities of Daily Living - Compensation Scale (IADL-C) abilities, an informant-based questionnaire that quantifies functional abilities. The associations between functional abilities as assessed with the IADL-C and performance on neuropsychological tests were also investigated.

METHODS

IADLC scores were obtained along with a comprehensive neuropsychological protocol on memory clinic participants (n = 100) classified as cognitively normal (CN), amnestic MCI (aMCI), or a combined mixed/dysexecutive (mixed/dys) MCI. Regression analyses were employed to determine how the IADLC related to neuropsychological test performance.

RESULTS

On the IADLC, greater functional impairment was commonly observed in the mixed/dys MCI group compared to CN participants. Furthermore, the mixed/dys MCI group had lower scores on activities such as Money and Self-Management, Travel and Event Memory subscales compared to the CN group. Linear regression analyses found greater functional impairment in relation to lower scores on executive and episodic memory tests.

CONCLUSIONS

Greater functional impairment as assessed with the IADL-C appears to be disproportionately associated with dysexecutive difficulty, and to a lesser degree, episodic memory.

Neurocognitive Operations Underlying Working Memory Abilities: An Analysis of Latency and Time-Based Parameters

BACKGROUND

The theory of executive attention (Fuster, 2015) suggests considerable plasticity regarding when specific neurocognitive operations are recruited to bring executive tasks to fruition.

OBJECTIVE

We tested the hypothesis that differing neurocognitive operations are recruited upon the initiation of a response, but that other distinct neurocognitive operations are recruited towards the middle or end of a response.

METHODS

The Backward Digit Span Test (BDST) was administered to 58 memory clinic patients (MCI, n = 22; no-MCI, n = 36). Latency to generate all correct 5-span responses was obtained. Statistical analyses found that optimal group classification was achieved using the first and third digit backward. First and third response latencies were analyzed in relation to verbal working memory (WM), visual WM, processing speed, visuospatial operations, naming/lexical access, and verbal episodic memory tests.

RESULTS

For the first response, slower latencies were associated with better performance in relation to verbal WM and visuospatial test performance. For the third response, faster latencies were associated with better processing speed and visuospatial test performance.

CONCLUSION

Consistent with the theory of executive attention, these data show that the neurocognitive operations underlying successful executive test performance are not monolithic but can be quite nuanced with differing neurocognitive operations associated with specific time epochs. Results support the efficacy of obtaining time-based latency parameters to help disambiguate successful executive neurocognitive operations in memory clinic patients.

Textual Inference Comprehension in Mild Cognitive Impairment: The Influence of Semantic Processing and Verbal Episodic Memory

Language complaints, especially in complex tasks, may occur in mild cognitive impairment (MCI). Various language measures have been studied as cognitive predictors of MCI conversion to Alzheimer's type dementia. Understanding textual inferences is considered a high-demanding task that recruits multiple cognitive functions and, therefore, could be sensitive to detect decline in the early stages of MCI. Thus, we aimed to compare the performance of subjects with MCI to healthy elderly in a textual inference comprehension task and to determine the best predictors of performance in this ability considering one verbal episodic memory and two semantic tasks. We studied 99 individuals divided into three groups: (1) 23 individuals with amnestic mild cognitive impairment (aMCI), (2) 42 individuals with non-amnestic mild cognitive impairment (naMCI), (3), and (4) 34 cognitively healthy individuals for the control group (CG). A reduced version of The Implicit Management Test was used to assess different types of inferential reasoning in text reading. MCI patients performed poorer than healthy elderly, and there were no differences between MCI subgroups (amnestic and non-amnestic). The best predictors for inference-making were verbal memory in the aMCI and semantic tasks in the naMCI group. The results confirmed that the failure to understand textual inferences can be present in MCI and showed that different cognitive skills like semantic knowledge and verbal episodic memory are necessary for inference-making.

Association Between Elevated Depressive Symptoms and Cognitive Function Moderated by APOE4 Status: Framingham Offspring Study

BACKGROUND

Depression and Apolipoprotein E4 (APOE4) are associated with decreased cognitive function and differences in brain structure.

OBJECTIVE

This study investigated whether APOE4 status moderates the association between elevated depressive symptoms, cognitive function, and brain structure.

METHODS

Stroke- and dementia-free participants (n = 1,968) underwent neuropsychological evaluation, brain MRI, and depression screening. Linear and logistic regression was used to examine all associations. Secondary analyses were performed using interaction terms to assess effect modification by APOE4 status.

RESULTS

Elevated depressive symptoms were associated with lower cognitive performance in several domains. In stratified analyses, elevated depressive symptoms were associated with poorer visual short- and long-term memory performance for APOE4 + participants. Elevated depressive symptoms were not associated with any brain structure in this study sample.

CONCLUSION

Elevated depressive symptoms impact cognitive function in non-demented individuals. Having the APOE4 allele may exacerbate the deleterious effects of elevated depressive symptoms on visual memory performance. Screening for elevated depressive symptoms in both research studies and clinical practice may be warranted to avoid false positive identification of neurodegeneration, particularly among those who are APOE4 + .

Oral administration of porcine liver decomposition product for 4 weeks enhances visual memory and delayed recall in healthy adults over 40 years of age: A randomized, double-blind, placebo-controlled study

BACKGROUND AND OBJECTIVES

Porcine liver decomposition product (PLDP) contains neurofunctional phospholipids. We previously reported that PLDP enhances cognitive function in healthy adult humans, based on clinical evaluations using Hasegawa's Dementia Scale-Revised. In this study, we evaluated the effect of PLDP on memory indicators of the Wechsler Memory Scale-Revised (WMS-R), an internationally recognized battery for memory assessment.

METHODS

We conducted a double-blind parallel-group placebo-controlled trial to evaluate the effect of PLDP on memory. Fifty-eight participants competed the trial: 28 participants were in the PLDP group and 30 participants were in the placebo group. Each group was administered PLDP (4 capsules) or a placebo (4 capsules) for 4 continuous weeks. WMS-R was administered before and 4 weeks after PLDP or placebo intake. The data were also subdivided by age for participants under 40 years (N = 15 in PLDP; N = 15 in placebo) and over 40 years (N = 13 in PLDP, N = 15 in placebo). Changes in Verbal Memory, Visual Memory, Attention/Concentration, and Delayed Recall were analyzed.

RESULTS

No significant differences were found in any memory indicators between the PLDP group and the placebo group in pooled participants and in participants under 40 years of age. However, for participants over 40 years of age, PLDP administration resulted in a significant enhancement than placebo administration in Delayed Recall (14.1 ± 7.1 points vs. 7.1 ± 6.8 points) (P < 0.05), Visual Recall I (20.1 ± 23.1 percentile vs 1.9 ± 22.8 percentile) (P < 0.05), and Visual Recall II (24.2 ± 25.8 percentile vs 6.7 ± 19.0 percentile) (P < 0.05), respectively. The composition ratio of men to women in each group was imbalanced but no significant difference existed between the two groups.

LIMITATIONS

A modest sample size, single-center design, and a fairly short follow-up period.

CONCLUSION

PLDP enhanced Visual Memory and Delayed Recall in healthy adults over 40 years of age but not in healthy adults under 40 years of age. Therefore, PLDP may represent a promising nutraceutical that could improve cognitive function in healthy adults over 40 years of age. Further studies are required to evaluate if long term PLDP administration can prevent or delay cognitive dysfunction in healthy adults over 40 years of age.

Machine Learning Analysis of Digital Clock Drawing Test Performance for Differential Classification of Mild Cognitive Impairment Subtypes Versus Alzheimer's Disease

OBJECTIVE

To determine how well machine learning algorithms can classify mild cognitive impairment (MCI) subtypes and Alzheimer's disease (AD) using features obtained from the digital Clock Drawing Test (dCDT).

METHODS

dCDT protocols were administered to 163 patients diagnosed with AD(n = 59), amnestic MCI (aMCI; n = 26), combined mixed/dysexecutive MCI (mixed/dys MCI; n = 43), and patients without MCI (non-MCI; n = 35) using standard clock drawing command and copy procedures, that is, draw the face of the clock, put in all of the numbers, and set the hands for "10 after 11." A digital pen and custom software recorded patient's drawings. Three hundred and fifty features were evaluated for maximum information/minimum redundancy. The best subset of features was used to train classification models to determine diagnostic accuracy.

RESULTS

Neural network employing information theoretic feature selection approaches achieved the best 2-group classification results with 10-fold cross validation accuracies at or above 83%, that is, AD versus non-MCI = 91.42%; AD versus aMCI = 91.49%; AD versus mixed/dys MCI = 84.05%; aMCI versus mixed/dys MCI = 84.11%; aMCI versus non-MCI = 83.44%; and mixed/dys MCI versus non-MCI = 85.42%. A follow-up two-group non-MCI versus all MCI patients analysis yielded comparable results (83.69%). Two-group classification analyses were achieved with 25-125 dCDT features depending on group classification. Three- and four-group analyses yielded lower but still promising levels of classification accuracy.

CONCLUSION

Early identification of emergent neurodegenerative illness is criterial for better disease management. Applying machine learning to standard neuropsychological tests promises to be an effective first line screening method for classification of non-MCI and MCI subtypes.

Functional Competence and Cognition in Individuals With Amnestic Mild Cognitive Impairment

OBJECTIVE

The objective of this study is to characterize functional competence (measure of assistance needed for independence) on Performance Assessment of Self-Care Skills (PASS) Cognitively Mediated Instrumental Activities of Daily Living (C-IADL), in individuals with amnestic mild cognitive impairment (aMCI). It aims to determine: (1) the association of functional competence on PASS C-IADL tasks with neurocognitive test performance in aMCI, (2) its ability to discriminate individuals with aMCI from healthy control (HC) individuals, and (3) its added value in discriminating aMCI from HC individuals when combined with neurocognitive test performance.

DESIGN

Cross-sectional secondary analysis of baseline data from a cohort of individuals enrolled in a clinical trial (NCT02386670).

SETTING

Five university-affiliated outpatient clinics in Toronto, Canada.

PARTICIPANTS

aMCI (N = 137) and HC (N = 51) participants, all aged 60 years or older.

METHODS

We assessed the relationship between functional competence on three C-IADL PASS tasks (shopping, bill paying, and checkbook balancing) and neurocognitive tests in 137 participants with aMCI using multiple linear regressions. Additionally, we constructed receiver operating characteristic curves to assess the role of PASS functional competence in discriminating between 137 aMCI and 51 HC participants.

RESULTS

Functional competence on PASS was significantly associated with tests of verbal memory, information processing speed, and executive function. It demonstrated 79% accuracy in discriminating aMCI from HC participants. Combining functional competence on PASS with individual neurocognitive tests significantly increased the discriminant accuracy of individual tests, and neurocognitive test scores combined with functional competence on PASS had the highest discriminant accuracy (94%).

CONCLUSION

Functional competence on PASS is predicted by the underlying cognitive deficits and possibly captures additional element of effort that could improve the diagnostic accuracy of aMCI when combined with neurocognitive tests. Thus, PASS appears to be a promising tool for assessment of functional competence in aMCI in clinical or research settings. J Am Geriatr Soc 68:1787-1795, 2020.