The NIH Toolbox Cognition Battery App in healthy aging and cognitive decline due to Alzheimer’s Disease and Mild Cognitive Impairment

2020 ◽  
Vol 30 (Supplement_2) ◽  
Author(s):  
C Marques-Costa ◽  
M S Pinho ◽  
M R Simões ◽  
G Prieto

Abstract Introduction There has been a significant increase in average life expectancy. This increase brought more focus on aging with more health, autonomy and independence. Among current public health concerns, the detection of cognitive decline in older individuals stands out, namely in Alzheimer’s disease (AD) and Mild Cognitive Impairment (MCI). Accurate, brief, practical and automated measures are needed to assess cognitive function throughout the life-span. Since 2015, there is the NIH Toolbox Cognition Battery (NIHTB-CB) app that meets these requirements and assesses the neurocognitive subdomains of attention, episodic memory, executive function, language, processing speed, and working memory. The European Portuguese app, developed by our team, will be validated for the Portuguese older adults. Objectives The aim is presenting a literature review of the use of NIHTB-CB in healthy aging and cognitive decline in MCI and AD. Methodology Advanced search in the databases of Web of Science and Google Scholar for studies published between 2016-2019, including articles and meeting abstracts with the words: NIH Toolbox Cognition Battery, AD, MCI, Elder or Senior or Older. Results According to the studies reviewed, NIHTB-CB may be useful in memory clinics (e.g.Hackett et al, 2018; Mayeda et al. 2018); clinical trials (e.g.Buckley et al., 2017; Parsey, Bagger & Hanson, 2019); and healthy aging (e.g.Scott, Sorell, & Benitez, 2019). Preliminary results of the ARMADA study (Weintraub et al, 2019) with people with more than 85 years old became available showing that generally, NIHTB-CB is well accepted, also in MCI patients. No difficulties were found in the use of the iPad with older adults. Conclusion NIHTB-CB measures provide a valid assessment of neurocognitive domains that are important in healthy aging, MCI and AD. As the studies are still scarce, more research is needed.

2012 ◽  
Vol 18 (6) ◽  
pp. 1071-1080 ◽  
Author(s):  
Meghan B. Mitchell ◽  
Lynn W. Shaughnessy ◽  
Steven D. Shirk ◽  
Frances M. Yang ◽  
Alireza Atri

AbstractAccurate measurement of cognitive function is critical for understanding the disease course of Alzheimer's disease (AD). Detecting cognitive change over time can be confounded by level of premorbid intellectual function or cognitive reserve and lead to under- or over-diagnosis of cognitive impairment and AD. Statistical models of cognitive performance that include cognitive reserve can improve sensitivity to change and clinical efficacy. We used confirmatory factor analysis to test a four-factor model composed of memory/language, processing speed/executive function, attention, and cognitive reserve factors in a group of cognitively healthy older adults and a group of participants along the spectrum of amnestic mild cognitive impairment to AD (aMCI-AD). The model showed excellent fit for the control group (χ2 = 100; df = 78; CFI = .962; RMSEA = .049) and adequate fit for the aMCI-AD group (χ2 = 1750; df = 78; CFI = .932; RMSEA = .085). Although strict invariance criteria were not met, invariance testing to determine if factor structures are similar across groups yielded acceptable absolute model fits and provide evidence in support of configural, metric, and scalar invariance. These results provide further support for the construct validity of cognitive reserve in healthy and memory impaired older adults. (JINS, 2012, 18, 1–10)


2020 ◽  
Vol 17 (2) ◽  
pp. 168-176
Author(s):  
Zhilin Zhang ◽  
Guanqun Chen ◽  
Jian Zhang ◽  
Tianyi Yan ◽  
Ritsu Go ◽  
...  

Background: Subjective Cognitive Decline (SCD) is the early preclinical stage of Alzheimer's Disease (AD). Previous study provided an invaluable contribution by showing that a tactile angle discrimination system can be used to distinguish between healthy older individuals and patients with mild cognitive impairment and AD. However, that study paid little attention to the relationship between tactile angle discrimination and SCD. Therefore, a means of differentiating Normal Controls (NCs), elderly subjects with SCD, patients with amnestic Mild Cognitive Impairment (aMCI), and AD is urgently needed. Methods: In the present study, we developed a novel tactile discrimination device that uses angle stimulation applied to the index finger pad to identify very small differences in angle discrimination between the NC (n = 30), SCD (n = 30), aMCI (n = 30), and AD (n = 30) groups. Using a three-alternative forced-choice and staircase method, we analyzed the average accuracy and threshold of angle discrimination. Results: We found that accuracy significantly decreased while thresholds of angle discrimination increased in the groups in the following order: NC, SCD, aMCI, and AD. The area under the receiver operating characteristic curve also indicated that the tactile angle discrimination threshold was better than Mini-Mental State Examination scores in distinguishing NC individuals and SCD patients. Conclusion: These findings emphasize the importance of tactile working memory dysfunction in explaining the cognitive decline in angle discrimination that occurs in SCD to AD patients and offer further insight into the very early detection of subjects with AD.


2018 ◽  
Vol 16 (1) ◽  
pp. 67-89 ◽  
Author(s):  
Cassandra Morrison ◽  
Sheida Rabipour ◽  
Vanessa Taler ◽  
Christine Sheppard ◽  
Frank Knoefel

Background: Cognitive deficits are correlated with increasing age and become more pronounced for people with mild cognitive impairment (MCI) and dementia caused by Alzheimer’s disease (AD). Conventional methods to diagnose cognitive decline (i.e., neuropsychological testing and clinical judgment) can lead to false positives. Tools such as electroencephalography (EEG) offer more refined, objective measures that index electrophysiological changes associated with healthy aging, MCI, and AD. Objective: We sought to review the EEG literature to determine whether visual event-related potentials (ERPs) can distinguish between healthy aging, MCI, and AD. Method: We searched Medline and PyscInfo for articles published between January 2005 and April 2018. Articles were considered for review if they included participants aged 60+ who were healthy older adults or people with MCI and AD, and examined at least one visually elicited ERP component. Results: Our search revealed 880 records, of which 34 satisfied the inclusion criteria. All studies compared cognitive function between at least two of the three groups (healthy older adults, MCI, and AD). The most consistent findings related to the P100 and the P3b; while the P100 showed no differences between groups, the P3b showed declines in amplitude in MCI and AD. Conclusion: Visually elicited ERPs can offer insight into the cognitive processes that decline in MCI and AD. The P3b may be useful in identifying older adults who may develop MCI and AD, and more research should examine the sensitivity and specificity of this component when diagnosing MCI and AD.


2020 ◽  
Author(s):  
Ruchika Shaurya Prakash ◽  
Michael R. McKenna ◽  
Oyetunde Gbadeyan ◽  
Rebecca Andridge ◽  
Douglas W. Scharre ◽  
...  

AbstractINTRODUCTIONThe most well-studied biomarkers in AD are CSF amyloid beta-42 (Aβ42), tau, p-tau, and the ratio p-tau/Aβ42. The ratiometric measure of p-tau/Aβ42 shows the best diagnostic accuracy, and correlates reliably with metrics of cognition in unimpaired participants. However, no study has examined the impact of the CSF p-tau/Aβ42 ratio in predicting cognitive decline in both healthy and AD individuals in one sample. The goal of this study was to examine whether CSF-based p-tau/Aβ42 predicts changes in global cognitive functioning, episodic memory, and executive functioning over a two-year period in cognitively impaired older adults (CU), and in individuals with Mild Cognitive Impairment (MCI) and Alzheimer’s disease (AD).METHODSThis study involves secondary analysis of data from 1215 older adults available in the Alzheimer’s Disease Neuroimaging Initiative (ADNI). Neuropsychological variables, collected at baseline, 6-month, 12-month, and 24-month follow-ups, included the Preclinical Alzheimer’s Cognitive Composite (PACC) to assess global cognitive functioning, ADNI-MEM to assess episodic memory functioning, and ADNI-EF to assess executive functioning. Linear mixed models were constructed to examine the effect of CSF p-tau/Aβ42, diagnostic group, and change over time (baseline, 6-month, 12-month, and 24-month) on cognitive scores.RESULTSCSF p-tau/Aβ42 ratios predicted worsening cognitive impairment, both on global cognition and episodic memory in individuals with MCI and AD, but not in CU older adults and predicted decline in executive functioning for all three diagnostic groups.DISCUSSIONOur study, including CU, MCI, and AD individuals, provides evidence for differential cognitive consequences of accumulated AD pathology based on diagnostic groups.


2010 ◽  
Vol 6 ◽  
pp. S474-S475
Author(s):  
Bryan D. James ◽  
Patricia A. Boyle ◽  
Aron S. Buchman ◽  
Lisa L. Barnes ◽  
David A. Bennett

PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0252958
Author(s):  
Xiong Jiang ◽  
James H. Howard ◽  
G. William Rebeck ◽  
Raymond Scott Turner

Spatial inhibition of return (IOR) refers to the phenomenon by which individuals are slower to respond to stimuli appearing at a previously cued location compared to un-cued locations. Here with a group of older adults (n = 56, 58–80 (67.9±5.2) year old, 31 females, 18.7±3.6 years of education), we provide evidence supporting the notion that spatial IOR is mildly impaired in individuals with mild cognitive impairment (MCI) or mild Alzheimer’s disease (AD), and the impairment is detectable using a double cue paradigm. Furthermore, reduced spatial IOR in high-risk healthy older individuals is associated with reduced memory and other neurocognitive task performance, suggesting that the double cue spatial IOR paradigm may be useful in detecting MCI and early AD.


2018 ◽  
Vol 15 (3) ◽  
pp. 219-228 ◽  
Author(s):  
Jiri Cerman ◽  
Ross Andel ◽  
Jan Laczo ◽  
Martin Vyhnalek ◽  
Zuzana Nedelska ◽  
...  

Background: Great effort has been put into developing simple and feasible tools capable to detect Alzheimer's disease (AD) in its early clinical stage. Spatial navigation impairment occurs very early in AD and is detectable even in the stage of mild cognitive impairment (MCI). Objective: The aim was to describe the frequency of self-reported spatial navigation complaints in patients with subjective cognitive decline (SCD), amnestic and non-amnestic MCI (aMCI, naMCI) and AD dementia and to assess whether a simple questionnaire based on these complaints may be used to detect early AD. Method: In total 184 subjects: patients with aMCI (n=61), naMCI (n=27), SCD (n=63), dementia due to AD (n=20) and normal controls (n=13) were recruited. The subjects underwent neuropsychological examination and were administered a questionnaire addressing spatial navigation complaints. Responses to the 15 items questionnaire were scaled into four categories (no, minor, moderate and major complaints). Results: 55% of patients with aMCI, 64% with naMCI, 68% with SCD and 72% with AD complained about their spatial navigation. 38-61% of these complaints were moderate or major. Only 33% normal controls expressed complaints and none was ranked as moderate or major. The SCD, aMCI and AD dementia patients were more likely to express complaints than normal controls (p's<0.050) after adjusting for age, education, sex, depressive symptoms (OR for SCD=4.00, aMCI=3.90, AD dementia=7.02) or anxiety (OR for SCD=3.59, aMCI=3.64, AD dementia=6.41). Conclusion: Spatial navigation complaints are a frequent symptom not only in AD, but also in SCD and aMCI and can potentially be detected by a simple and inexpensive questionnaire.


2021 ◽  
Author(s):  
Noel Valencia ◽  
Johann Lehrner

Summary Background Visuo-Constructive functions have considerable potential for the early diagnosis and monitoring of disease progression in Alzheimer’s disease. Objectives Using the Vienna Visuo-Constructional Test 3.0 (VVT 3.0), we measured visuo-constructive functions in subjective cognitive decline (SCD), mild cognitive impairment (MCI), Alzheimer’s disease (AD), and healthy controls to determine whether VVT performance can be used to distinguish these groups. Materials and methods Data of 671 participants was analyzed comparing scores across diagnostic groups and exploring associations with relevant clinical variables. Predictive validity was assessed using Receiver Operator Characteristic curves and multinomial logistic regression analysis. Results We found significant differences between AD and the other groups. Identification of cases suffering from visuo-constructive impairment was possible using VVT scores, but these did not permit classification into diagnostic subgroups. Conclusions In summary, VVT scores are useful indicators for visuo-constructive impairment but face challenges when attempting to discriminate between several diagnostic groups.


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