scholarly journals The First Word Recalled Measure – A Potential Addition to Clinical Exams

2021 ◽  
Vol 12 ◽  
Author(s):  
Irit Shapira-Lichter ◽  
Noga Oren ◽  
Anita Asvadurian ◽  
Rachel Ben-Hayun ◽  
Tali Fisher ◽  
...  

Characterizing episodic memory abilities is highly important in the diagnosis of Alzheimer's disease (AD) and mild cognitive impairment (MCI), and usually includes wordlist learning and recall tasks. Clinical evaluations typically focus on the number of words recalled, ignoring additional information, like serial position. Here, we tested the potential value of two serial positioning measures for clinical diagnosis – how retrieval is initiated, as measured by the first word recalled, and how it proceeds – using data from patients with AD and MCI that completed a wordlist learning and recall task. Our results show that during the early stages of learning, patients with AD are less prone to retrieve the first word from the wordlist, manifested as lower primacy effect in the first word recalled, compared with MCI patients. The first word recalled measure adds to the differentiation between the groups over and above the total number of words learned. Thus, the first word recalled during word list learning and recall tasks may be used as a simple complementary measure to distinguish between MCI and AD during standard neuropsychological evaluations.

Stroke ◽  
2021 ◽  
Author(s):  
Ronald M. Lazar ◽  
Virginia G. Wadley ◽  
Terina Myers ◽  
Michael R. Jones ◽  
Donald V. Heck ◽  
...  

Background and Purpose: Studies of carotid artery disease have suggested that high-grade stenosis can affect cognition, even without stroke. The presence and degree of cognitive impairment in such patients have not been reported and compared with a demographically matched population-based cohort. Methods: We studied cognition in 1000 consecutive CREST-2 (Carotid Revascularization and Medical Management for Asymptomatic Carotid Stenosis Trial) patients, a treatment trial for asymptomatic carotid disease. Cognitive assessment was after randomization but before assigned treatment. The cognitive battery was developed in the general population REGARDS Study (Reasons for Geographic and Racial Differences in Stroke), involving Word List Learning Sum, Word List Recall, and Word List fluency for animal names and the letter F. The carotid stenosis patients were >45 years old with ≥70% asymptomatic carotid stenosis and no history of prevalent stroke. The distribution of cognitive performance for the patients was standardized, accounting for age, race, and education using performance from REGARDS, and after further adjustment for hypertension, diabetes, dyslipidemia, and smoking. Using the Wald Test, we tabulated the proportion of Z scores less than the anticipated deviate for the population-based cohort for representative percentiles. Results: There were 786 baseline assessments. Mean age was 70 years, 58% men, and 52% right-sided stenosis. The overall Z score for patients was significantly below expected for higher percentiles ( P <0.0001 for 50th, 75th, and 95th percentiles) and marginally below expected for the 25th percentile ( P =0.015). Lower performance was attributed largely to Word List Recall ( P <0.0001 for all percentiles) and for Word List Learning (50th, 75th, and 95th percentiles below expected, P ≤0.01). The scores for left versus right carotid disease were similar. Conclusions: Baseline cognition of patients with severe carotid stenosis showed below normal cognition compared to the population-based cohort, controlling for demographic and cardiovascular risk factors. This cohort represents the largest group to date to demonstrate that poorer cognition, especially memory, in this disease. REGISTRATION: URL: https://www.clinicaltrials.gov ; Unique identifier: NCT02089217.


2020 ◽  
Vol 77 (4) ◽  
pp. 1743-1753
Author(s):  
Clara Vila-Castelar ◽  
Edmarie Guzmán-Vélez ◽  
Enmanuelle Pardilla-Delgado ◽  
Rachel F. Buckley ◽  
Yamile Bocanegra ◽  
...  

Background: Growing evidence suggests that there may be a sex-specific biological risk for Alzheimer’s disease (AD). Individuals with autosomal dominant AD due to a mutation (E280A) in Presenilin-1 (PSEN1) are genetically determined to develop early-onset dementia and thus, have few age-related risk factors for AD that are known to vary by sex (i.e., cardiovascular disease, menopause, life expectancy). Objective: Investigate sex differences in markers of cognition and neurodegeneration in autosomal dominant AD. Methods: We conducted a retrospective study in 19 cognitively-unimpaired PSEN1 mutation carriers (age range 20–44; 11 females), 11 symptomatic carriers (age range 42–56; 8 females), and 23 matched non-carriers family members (age range 20–50; 13 females). We examined hippocampal volume ratio, CERAD Total Score, and CERAD Word List (i.e., Learning, Delayed Recall, and Recognition). Mann-Whitney U tests, Spearman correlations and regression models were conducted. Results: There were no differential associations between age, CERAD Total Score, CERAD Word List–Learning, Delayed Recall, Recognition, and hippocampal volume ratio in male and female carriers and non-carriers. Cognitively-unimpaired female carriers showed better CERAD Total scores and CERAD Word List-Learning than cognitively-unimpaired male carriers, despite having similar hippocampal volume ratios. The interaction of sex and hippocampal volume ratio did not predict cognitive performance across groups. Conclusion: Our preliminary findings suggest that cognitively-unimpaired female carriers showed a verbal memory reserve, and as disease progresses, female carriers did not exhibit a cognitive susceptibility to AD-related neurodegeneration. Future studies with larger samples of autosomal dominant AD are warranted to further understand sex differences in AD-related clinical and pathological markers.


2004 ◽  
Vol 58 (1) ◽  
pp. 54-60 ◽  
Author(s):  
RYUSAKU HASHIMOTO ◽  
KENICHI MEGURO ◽  
SATOSHI YAMAGUCHI ◽  
JUNICHI ISHIZAKI ◽  
HIROSHI ISHII ◽  
...  

2020 ◽  
Vol 10 (9) ◽  
pp. 575 ◽  
Author(s):  
Jordan L. Schultz ◽  
Amelia D. Moser ◽  
Peg C. Nopoulos

There is a known negative association between cytosine–adenine–guanine (CAG) repeat length and the age of motor onset (AMO) in adult-onset Huntington’s Disease (AOHD). This relationship is less clear in patients with juvenile-onset Huntington’s disease (JOHD), however, given the rarity of this patient population. The aim of this study was to investigate this relationship amongst a relatively large group of patients with JOHD using data from the Kids-JOHD study. Additionally, we analyzed data from the Enroll-HD platform and the Predict-HD study to compare the relationship between CAG repeat length and AMO amongst patients with AOHD to that amongst patients with JOHD using linear regression models. In line with previous reports, the variance in AMO that was predicted by CAG repeat length was 59% (p < 0.0001) in the Predict-HD study and 57% from the Enroll-HD platform (p < 0.0001). However, CAG repeat length predicted 84% of the variance in AMO amongst participants from the Kids-JOHD study (p < 0.0001). These results indicate that there may be a stronger relationship between CAG repeat length and AMO in patients with JOHD as compared to patients with AOHD. These results provide additional information that may help to model disease progression of JOHD, which is beneficial for the planning and implementation of future clinical trials.


Information ◽  
2020 ◽  
Vol 11 (8) ◽  
pp. 385
Author(s):  
Andrew Ponomarev

Today, crowd computing is successfully applied for many information processing problems in a variety of domains. One of the most acute issues with crowd-powered systems is the quality of results (as humans can make errors). Therefore, a number of methods have been proposed to process the results obtained from the crowd in order to compensate human errors. Most of the existing methods of processing contributions are constructed based on a (natural) assumption that the only information available is unreliable data obtained from the crowd. However, in some cases, additional information is available, and it can be utilized in order to improve the overall quality of the result. The paper describes a crowd computing application for community tagging of running race photos. It presents a utility analysis to identify situations in which community photo tagging is a reasonable choice. It also proposes a data fusion model making use of runners’ location information recorded in their Global Positioning System (GPS) tracks. Field experiments with the applications show that community-based tagging can collect enough contributors to process photosets from medium-sized running events. Simulation results confirm, that the use of data fusion in processing the results of crowd computing is a promising technique, and the use of probabilistic graphical models (e.g., Bayesian networks) for data fusion allows one to smoothly increase the quality of the results with an increase of the available information.


1996 ◽  
Vol 11 (3) ◽  
pp. 387-395 ◽  
Author(s):  
Donald T. Stuss ◽  
Fergus I. M. Craik ◽  
Lisa Sayer ◽  
Dina Franchi ◽  
Michael P. Alexander

1991 ◽  
Vol 6 (3) ◽  
pp. 253-272 ◽  
Author(s):  
Pierre Celsis ◽  
Alain Agniel ◽  
Jean-François Démonet ◽  
Jean-Pierre Marc-Vergnes

1965 ◽  
Vol 16 (2) ◽  
pp. 659-660
Author(s):  
James G. Greeno

This study investigated the relation between performance in paired-associate learning and other verbal skills (verbal fluency to word and nonsense stimuli, recall of a word list). Ss learned two lists of word-CVC pairs. Significant positive correlations were found between fluency measures and learning of both lists. Recall scores were similarly correlated with second-list, but not first-list, learning.


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