scholarly journals Serial Recall Order and Semantic Features of Category Fluency Words to Study Semantic Memory in Normal Ageing

2021 ◽  
Vol 13 ◽  
Author(s):  
Matteo De Marco ◽  
Daniel J. Blackburn ◽  
Annalena Venneri
Keyword(s):  
Older Adults ◽  
Graph Theory ◽  
Semantic Memory ◽  
Serial Recall ◽  
Test Performance ◽  
Correlation Coefficients ◽  
Semantic Features ◽  
Linguistic Features ◽  
Recall Order ◽  
Category Fluency

Background: Category Fluency Test (CFT) is a common measure of semantic memory (SM). Test performance, however, is also influenced by other cognitive functions. We here propose a scoring procedure that quantifies the correlation between the serial recall order (SRO) of words retrieved during the CFT and a number of linguistic features, to obtain purer SM measures. To put this methodology to the test, we addressed a proof-of-concept hypothesis whereby, in alignment with the literature, older adults would show better SM.Methods: Ninety participants (45 aged 18–21 years; 45 aged 70–81 years) with normal neurological and cognitive functioning completed a 1-min CFT. SRO was scored as an ordinal variable incrementing by one unit for each valid entry. Each word was also scored for 16 additional linguistic features. Participant-specific normalised correlation coefficients were calculated between SRO and each feature and were analysed with group comparisons and graph theory.Results: Younger adults showed more negative correlations between SRO and “valence” (a feature of words pleasantness). This was driven by the first five words generated. When analysed with graph theory, SRO had significantly higher degree and lower betweenness centrality among older adults.Conclusion: In older adults, SM relies significantly less on pleasantness of entries typically retrieved without semantic control. Moreover, graph-theory metrics indicated better optimised links between SRO and linguistic features in this group. These findings are aligned with the principle whereby SM processes tend to solidify with ageing. Although additional work is needed in support of an SRO-based item-level scoring procedure of CFT performance, these initial findings suggest that this methodology could be of help in characterising SM in a purer form.

scholarly journals Using Automatic Assessment of Speech Production to Predict Current and Future Cognitive Function in Older Adults

2020 ◽  
pp. 089198872093335 ◽  
Author(s):  
Rachel Ostrand ◽  
John Gunstad
Keyword(s):  
Older Adults ◽  
Speech Production ◽  
Test Performance ◽  
Automated Analysis ◽  
Cognitive Status ◽  
Cognitive Test ◽  
Semantic Features ◽  
Automatic Assessment ◽  
Lexical Semantic ◽  
One Year

Neurodegenerative conditions like Alzheimer disease affect millions and have no known cure, making early detection important. In addition to memory impairments, dementia causes substantial changes in speech production, particularly lexical-semantic characteristics. Existing clinical tools for detecting change often require considerable expertise or time, and efficient methods for identifying persons at risk are needed. This study examined whether early stages of cognitive decline can be identified using an automated calculation of lexical-semantic features of participants’ spontaneous speech. Unimpaired or mildly impaired older adults (N = 39, mean 81 years old) produced several monologues (picture descriptions and expository descriptions) and completed a neuropsychological battery, including the Modified Mini-Mental State Exam. Most participants (N = 30) returned one year later for follow-up. Lexical-semantic features of participants’ speech (particularly lexical frequency) were significantly correlated with cognitive status at the same visit and also with cognitive status one year in the future. Thus, automated analysis of speech production is closely associated with current and future cognitive test performance and could provide a novel, scalable method for longitudinal tracking of cognitive health.

scholarly journals A-197 Utility of the Addenbrooke’s Cognitive Examination—Third Edition (ACE-III) to Predict Neuropsychological Test Performance in Older Adults Referred for Neurocognitive Evaluation

2020 ◽  
Vol 35 (6) ◽  
pp. 992-992
Author(s):  
Zarrella G ◽  
Kay C ◽  
Gettens K ◽  
Sherman J ◽  
Colvin M
Keyword(s):  
Older Adults ◽  
Cognitive Impairment ◽  
Test Performance ◽  
Word Association ◽  
Digit Span ◽  
Block Design ◽  
Group Differences ◽  
Neuropsychological Evaluation ◽  
Adult Intelligence Scale ◽  
Category Fluency

Abstract Objective The ACE-III is a brief cognitive screener with high sensitivity and specificity in detecting neurocognitive disorders. We examined the utility of ACE-III subscale scores (Attention/Orientation, Memory, Fluency, Language, Visuospatial) to predict performance on expanded neuropsychological evaluation and detect diagnostic group differences. Data Selection 217 patients (Mag = 74.0, Medu = 15.78) with neurocognitive concerns completed the ACE-III followed by a comprehensive neuropsychological evaluation, including Wechsler Adult Intelligence Scale-Fourth Edition (WAIS-IV) Digit Span Backward (DSB), Trail Making Test Part B (TMT B), Boston Naming Test (BNT), Controlled Oral Word Association Test (COWAT), Category Fluency (Vegetables), Wechsler Memory Scale-IV (WMS-IV) Logical Memory (LM), and WAIS-IV Block Design (BD). Patients were diagnosed as having Normal Cognition (NC), Mild Cognitive Impairment (MCI), or Major Neurocognitive Disorder (MND) from clinical history and overall performance (67-NC, 105-MCI, 45-MND). Within-construct performances on comprehensive testing were regressed on ACE-III subscales. Group differences in ACE-III subscales and total scores were also examined. Data Synthesis Each ACE-III subscale score predicted within-construct performance on expanded testing with moderate-strong effects (p’s < .001): Attention/Orientation predictive of WAIS-IV DSB and TMT B; Memory predictive of WMS-IV LM immediate and delayed; Fluency predictive of COWAT and Category Fluency; Language predictive of BNT; Visuospatial predictive of WAIS-IV BD. ACE-III subscale and total scores also distinguished between groups (NC > MCI > MND; p’s < .001). Conclusions Across severity of cognitive impairment, ACE-III subscales are predictive of within-construct performance on expanded testing. The ACE-III may be a useful proxy for a comprehensive neuropsychological evaluation and demonstrates diagnostic utility in distinguishing different levels of cognitive impairment in older adults referred for neurocognitive concerns.

The 32-Item Multilingual Naming Test: Cultural and Linguistic Biases in Monolingual Chinese-Speaking Older Adults

2021 ◽  
pp. 1-9
Author(s):  
Clara Li ◽  
Xiaoyi Zeng ◽  
Judith Neugroschl ◽  
Amy Aloysi ◽  
Carolyn W. Zhu ◽  
...  
Keyword(s):  
Older Adults ◽  
New York ◽  
Test Performance ◽  
Item Difficulty ◽  
Chinese Older Adults ◽  
Chinese Speakers ◽  
School Of Medicine ◽  
Consensus Conferences ◽  
Linguistic Groups ◽  
Naming Test

ABSTRACT Objectives: This study describes the performance of the Multilingual Naming Test (MINT) by Chinese American older adults who are monolingual Chinese speakers. An attempt was also made to identify items that could introduce bias and warrant attention in future investigation. Methods: The MINT was administered to 67 monolingual Chinese older adults as part of the standard dementia evaluation at the Alzheimer’s Disease Research Center (ADRC) at the Icahn School of Medicine at Mount Sinai (ISMMS), New York, USA. A diagnosis of normal cognition (n = 38), mild cognitive impairment (n = 12), and dementia (n = 17) was assigned to all participants at clinical consensus conferences using criterion sheets developed at the ADRC at ISMMS. Results: MINT scores were negatively correlated with age and positively correlated with education, showing sensitivity to demographic factors. One item, butterfly, showed no variations in responses across diagnostic groups. Inclusion of responses from different regions of China changed the answers from “incorrect” to “correct” on 20 items. The last five items, porthole, anvil, mortar, pestle, and axle, yielded a high nonresponse rate, with more than 70% of participants responding with “I don’t know.” Four items, funnel, witch, seesaw, and wig, were not ordered with respect to item difficulty in the Chinese language. Two items, gauge and witch, were identified as culturally biased for the monolingual group. Conclusions: Our study highlights the cultural and linguistic differences that might influence the test performance. Future studies are needed to revise the MINT using more universally recognized items of similar word frequency across different cultural and linguistic groups.

scholarly journals A Novel Touch-Screen, Dual-Language Intervention Program for Older Adults

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 559-559
Author(s):  
W Quin Yow ◽  
Hui-Ching Chen ◽  
Tharshini Lokanathan ◽  
Attila Achenbach ◽  
Lucienne Blessing
Keyword(s):  
Older Adults ◽  
Cognitive Decline ◽  
Semantic Memory ◽  
Cognitive Training ◽  
Dual Language ◽  
Intervention Program ◽  
Verbal Learning ◽  
Verbal Working Memory ◽  
Touch Screen ◽  
Language Intervention

Abstract Although cognitive training in healthy older adults (OA) has been controversial, specific and isolated cognitive skills such as semantic memory can be improved with appropriate designs. Semantic memory has been considered as a clinical marker for cognitive decline in dementia. The current study, as part of a larger touch-screen dual-language intervention program with cognitive training tools, aims to slow down the rate of cognitive decline in OA with dementia (OwD). A set of neuropsychological tests was conducted before and after the training program. After 24 training sessions over 8-12 weeks, OwD (11 females, 1 male, mean=85.8yo) improved significantly in their verbal working memory (Rey Auditory Verbal Learning Test; RAVLT) while performance of the cognitive-healthy OA (5 females, 3 males, mean=76.3yo) remained the same post-intervention. Our findings suggest that touch-screen technology can help OwD improve their semantic memory. The strengths and limitations of our game design and intervention will be discussed. Part of a symposium sponsored by Technology and Aging Interest Group.

scholarly journals Age Differences in Executive Control Assessed with a Robotic Object Hit and Avoid Test of Rapid Motor Decision Making

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 881-882
Author(s):  
Alexandra Watral ◽  
Kevin Trewartha
Keyword(s):  
Older Adults ◽  
Decision Making ◽  
Executive Functioning ◽  
Age Differences ◽  
Executive Control ◽  
Test Performance ◽  
Cognitive Status ◽  
Younger Adults ◽  
Neuropsychological Tasks ◽  
Measures Of Performance

Abstract Motor decision-making processes are required for many standard neuropsychological tasks, including the Trail Making Test (TMT), that aim to assess cognitive functioning in older adults. However, in their standard formats, it is difficult to isolate the relative contributions of sensorimotor and cognitive processes to performance on these neuropsychological tasks. Recently developed clinical tasks use a robotic manipulandum to assess both motor and cognitive aspects of rapid motor decision making in an object hit (OH) and object hit and avoid (OHA) task. We administered the OH and OHA tasks to 77 healthy younger adults and 59 healthy older adults to assess age differences in the motor and cognitive measures of performance. We administered the TMT parts A and B to assess the extent to which OHA performance is associated with executive functioning in particular. The results indicate that after controlling for hand speed, older adults performed worse on the OH and OHA tasks than younger adults, performance declines were far greater in the OHA task, and the global performance measures, which have been associated with cognitive status, were more sensitive to age differences than motor measures of performance. Those global measures of performance were also associated with measures of executive functioning on the TMT task. These findings provide evidence that rapid motor decision making tasks are sensitive to declines in executive control in aging. They also provide a way to isolate cognitive declines from declines in sensorimotor processes that are likely a contributing factor to age differences in neuropsychological test performance.

scholarly journals Effects of a Motor Imagery Task on Functional Brain Network Community Structure in Older Adults: Data from the Brain Networks and Mobility Function (B-NET) Study

2021 ◽  
Vol 11 (1) ◽  
pp. 118
Author(s):  
Blake R. Neyland ◽  
Christina E. Hugenschmidt ◽  
Robert G. Lyday ◽  
Jonathan H. Burdette ◽  
Laura D. Baker ◽  
...  
Keyword(s):  
Older Adults ◽  
Graph Theory ◽  
Community Structure ◽  
Resting State ◽  
Brain Networks ◽  
Brain Network ◽  
Functional Brain ◽  
Network Community ◽  
Functional Brain Networks ◽  
The Brain

Elucidating the neural correlates of mobility is critical given the increasing population of older adults and age-associated mobility disability. In the current study, we applied graph theory to cross-sectional data to characterize functional brain networks generated from functional magnetic resonance imaging data both at rest and during a motor imagery (MI) task. Our MI task is derived from the Mobility Assessment Tool–short form (MAT-sf), which predicts performance on a 400 m walk, and the Short Physical Performance Battery (SPPB). Participants (n = 157) were from the Brain Networks and Mobility (B-NET) Study (mean age = 76.1 ± 4.3; % female = 55.4; % African American = 8.3; mean years of education = 15.7 ± 2.5). We used community structure analyses to partition functional brain networks into communities, or subnetworks, of highly interconnected regions. Global brain network community structure decreased during the MI task when compared to the resting state. We also examined the community structure of the default mode network (DMN), sensorimotor network (SMN), and the dorsal attention network (DAN) across the study population. The DMN and SMN exhibited a task-driven decline in consistency across the group when comparing the MI task to the resting state. The DAN, however, displayed an increase in consistency during the MI task. To our knowledge, this is the first study to use graph theory and network community structure to characterize the effects of a MI task, such as the MAT-sf, on overall brain network organization in older adults.

scholarly journals A multi-dimensional contrastive study of English abstracts by native and non-native writers

Corpora ◽  
2013 ◽  
Vol 8 (2) ◽  
pp. 209-234 ◽  
Author(s):  
Yan Cao ◽  
Richard Xiao
Keyword(s):  
Factor Analysis ◽  
Noun Phrases ◽  
Analytical Framework ◽  
English Abstract ◽  
Academic Disciplines ◽  
Semantic Features ◽  
Linguistic Features ◽  
Contrastive Study ◽  
Active Involvement ◽  
Communicative Functions

This article takes the multi-dimensional (MD) analysis approach to explore the textual variations between native and non-native English abstracts on the basis of a balanced corpus containing English abstracts written by native English and native Chinese writers from twelve academic disciplines. A total of 47 out of 163 linguistic features are retained after factor analysis, which underlies a seven-dimension framework representing seven communicative functions. The results show that the two types of abstracts demonstrate significant differences in five out of the seven dimensions. To be more specific, native English writers display a more active involvement and commitment in presenting their ideas than Chinese writers. They also use intensifying devices more frequently. In contrast, Chinese writers show stronger preferences for conceptual elaboration, passives and abstract noun phrases no matter whether the two types of data are examined as a whole or whether variations across disciplines are taken into account. The results are discussed in relation to the possible reasons and suggestions for English abstract writing in China. Methodologically, this study innovatively expands on Biber's (1988) MD analytical framework by integrating colligation in addition to grammatical and semantic features.

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