| 1. |
- Dorr, Felix, et al.
(författare)
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Dissociating memory and executive function impairment through temporal features in a word list verbal learning task
- 2023
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Ingår i: NEUROPSYCHOLOGIA. - 0028-3932 .- 1873-3514. ; 189
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Tidskriftsartikel (refereegranskat)abstract
- The Rey Auditory Verbal Learning Test (RAVLT) is an established verbal learning test commonly used to quantify memory impairments due to Alzheimer's Disease (AD) both at a clinical dementia stage or prodromal stage of mild cognitive impairment (MCI). Focal memory impairment-as quantified e.g. by the RAVLT-at an MCI stage is referred to as amnestic MCI (aMCI) and is often regarded as the cognitive phenotype of prodromal AD. However, recent findings suggest that not only learning and memory but also other cognitive domains, especially executive functions (EF) and processing speed (PS), influence verbal learning performance. This research investigates whether additional temporal features extracted from audio recordings from a participant's RAVLT response can better dissociate memory and EF in such tasks and eventually help to better describe MCI subtypes. 675 age-matched participants from the H70 Swedish birth cohort were included in this analysis; 68 participants were classified as MCI (33 aMCI and 35 due to executive impairment). RAVLT performances were recorded and temporal features extracted. Novel temporal features were correlated with established neuropsychological tests measuring EF and PS. Lastly, the downstream diagnostic potential of temporal features was estimated using group differences and a machine learning (ML) classification scenario. Temporal features correlated moderately with measures of EF and PS. Performance of an ML classifier could be improved by adding temporal features to traditional counts. We conclude that RAVLT temporal features are in general related to EF and that they might be capable of dissociating memory and EF in a word list learning task.
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| 2. |
- Hoff, Maria, 1981, et al.
(författare)
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Hearing loss and cognitive function in early old age: comparing subjective and objective hearing measures.
- 2023
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Ingår i: Gerontology. - : S. Karger AG. - 1423-0003 .- 0304-324X. ; 69:6, s. 694-705
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Tidskriftsartikel (refereegranskat)abstract
- Population-based research has consistently shown that people with hearing loss are at greater risk of cognitive impairment. We aimed to explore the cross-sectional association of both subjective and objective hearing measures with global and domain-specific cognitive function. We also examined the influence of hearing aid use on the relationship.A population-based sample (n=1105, 52% women) of 70-year-olds that were representative of the inhabitants of the city of Gothenburg, Sweden completed a detailed cognitive examination, pure-tone audiometry and a questionnaire regarding perceived hearing problems. A subsample (n=247, 52% women) also completed a test of speech-recognition-in-noise (SPRIN). Multiple linear regression analyses were conducted to explore the association of hearing with cognitive function adjusting for sex, education, cardiovascular factors, and tinnitus.Global cognitive function was independently associated with the better ear pure-tone average across 0.5-4 kHz (PTA4, β=-0.13, 95% CI, -0.18, -0.07), the better ear SPRIN score (β=0.30, 95% CI, 0.19, 0.40), but not with the self-reported hearing measure (β=-0.02, 95% CI, -0.07, 0.03). Both verbally loaded and non-verbally loaded tasks, testing a variety of cognitive domains, contributed to the association. Hearing aid users had better global cognitive function than non-users with equivalent hearing ability. The difference was only significant in the mild hearing loss category.In a population-based sample of 70-year-old persons without dementia, poorer hearing was associated with poorer global and domain-specific cognitive function, but only when hearing function was measured objectively and not when self-reported. The speech-in-noise measure showed the strongest association. This highlights the importance of including standardized hearing tests and controlling for hearing status in epidemiological geriatric research. More research is needed on the role that hearing aid use plays in relation to age-related cognitive declines.
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| 3. |
- Marseglia, Anna, et al.
(författare)
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Metabolic Syndrome Is Associated With Poor Cognition : A Population-Based Study of 70-Year-Old Adults Without Dementia
- 2021
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Ingår i: The journals of gerontology. Series A, Biological sciences and medical sciences. - : Oxford University Press (OUP). - 1079-5006 .- 1758-535X. ; 76:12, s. 2275-2283
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Tidskriftsartikel (refereegranskat)abstract
- Background: Individual conditions of metabolic syndrome (MetS) have been related to dementia; however, their combined impact on the preclinical stage is unknown. We investigated the associations between MetS and domain-specific cognitive function as well as the role of sociodemographic, cardiovascular, and genetic factors.Methods: Within the Gothenburg H70 Birth Cohort Study-Birth cohort 1944, 1131 dementia-free participants (aged 70 years) were examined during 2014-2016. MetS (central obesity plus at least 2 factors [reduced HD11.-cholesterol, elevated triglycerides, blood pressure, or blood glucose]) was identified according to the International Diabetes Federation criteria. Five cognitive domains (memory, attention/perceptual speed, executive function, verbal fluency, visuospatial abilities) were generated after z-standardizing raw scores from 10 neuropsychological tests. Education, heart disease, claudication (indicating peripheral atherosclerosis), and apolipoprotein genotype were ascertained by trained staff. Data were analyzed with linear regression models.Results: Overall, 618 participants (55%) had MetS. In multiadjusted linear regressions, MetS was related to poorer performance in attention/ perceptual speed (beta -0.14 [95% CI -0.25, -0.02]), executive function (beta -0.12 [95% CI -0.23, -0.01]), and verbal fluency (beta -0.19 [95% CI -0.30, -0.08]). These associations were present only among individuals who did not carry any APOE-epsilon 4 allele or were highly educated. However, among those with MetS, high education was related to better cognitive performance. MetS together with comorbid heart disease or claudication was associated with even worse cognitive performance than each alone.Conclusions: MetS is associated with poor attention/perceptual speed, executive function, and verbal fluency performance. Education, apolipoprotein E-epsilon 4 allele, and comorbid cardiovascular disease influenced the observed associations.
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| 4. |
- Overton, Marieclaire, et al.
(författare)
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Sleep disturbances and change in multiple cognitive domains among older adults: a multicenter study of five Nordic cohorts
- 2024
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Ingår i: SLEEP. - : Oxford University Press. - 0161-8105 .- 1550-9109. ; 47:3
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Tidskriftsartikel (refereegranskat)abstract
- Study Objectives: We examined and compared cross-sectional and longitudinal associations between self-reported sleep disturbances and various cognitive domains in five separate Nordic European longitudinal aging studies (baseline N = 5631, mean age = 77.7, mean follow-up = 4.16 years).Methods: Comparable sleep parameters across studies included reduced sleep duration/quality, insomnia symptoms (sleep latency, waking up at night, and early awakenings), short and long sleep duration, and daytime napping. The cognitive domains were episodic memory, verbal fluency, perceptual speed, executive functioning, and global cognition (aggregated measure). A series of mixed linear models were run separately in each study and then compared to assess the level and rate of change in cognitive functioning across each sleep disturbance parameter. Models were adjusted for age, sex, education, hypnotic usage, depressive symptoms, lifestyle factors, cardiovascular, and metabolic conditions. By using a coordinated analytic approach, comparable construct-level measurements were generated, and results from identical statistical models were qualitatively compared across studies.Results: While the pattern of statistically significant results varied across studies, subjective sleep disturbances were consistently associated with worse cognition and steeper cognitive decline. Insomnia symptoms were associated with poorer episodic memory and participants sleeping less or more than 7-8 hours had a steeper decline in perceptual speed. In addition, daytime napping (>2 hours) was cross-sectionally and longitudinally associated with all examined cognitive domains. Most observed associations were study-specific (except for daytime napping), and a majority of association estimates remained significant after adjusting for covariates.Conclusion: This rigorous multicenter investigation further supports the importance of sleep disturbance, including insomnia, long and short sleep duration, and daytime napping on baseline cognitive functioning and rate of change among older adults. These sleep factors may be targeted in future lifestyle interventions to reduce cognitive decline.
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| 5. |
- Schaefer, Simona, et al.
(författare)
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Screening for Mild Cognitive Impairment Using a Machine Learning Classifier and the Remote Speech Biomarker for Cognition: Evidence from Two Clinically Relevant Cohorts
- 2023
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Ingår i: JOURNAL OF ALZHEIMERS DISEASE. - 1387-2877 .- 1875-8908. ; 91:3, s. 1165-1171
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Tidskriftsartikel (refereegranskat)abstract
- Background: Modern prodromal Alzheimer's disease (AD) clinical trials might extend outreach to a general population, causing high screen-out rates and thereby increasing study time and costs. Thus, screening tools that cost-effectively detect mild cognitive impairment (MCI) at scale are needed. Objective: Develop a screening algorithm that can differentiate between healthy and MCI participants in different clinically relevant populations. Methods: Two screening algorithms based on the remote ki:e speech biomarker for cognition (ki:e SB-C) were designed on a Dutch memory clinic cohort (N= 121) and a Swedish birth cohort (N= 404). MCI classification was each evaluated on the training cohort as well as on the unrelated validation cohort. Results: The algorithms achieved a performance of AUC similar to 0.73 and AUC similar to 0.77 in the respective training cohorts and AUC similar to 0.81 in the unseen validation cohorts. Conclusion: The results indicate that a ki:e SB-C based algorithm robustly detectsMCIacross different cohorts and languages, which has the potential to make current trials more efficient and improve future primary health care.
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| 6. |
- Öhman, Fredrik, et al.
(författare)
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Smartphone-based long-term delayed memory performance is associated with the Preclinical Alzheimer's Cognitive Composite and CSF levels of β-amyloid.
- 2022
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Ingår i: Alzheimer's & dementia : the journal of the Alzheimer's Association. - : Wiley. - 1552-5279. ; 18:S2
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Tidskriftsartikel (refereegranskat)abstract
- Remote and unsupervised cognitive testing using smartphones may improve sensitivity to detect preclinical Alzheimer's disease (AD). In particular, cognitive testing at-home enables the evaluation of the potentially more sensitive long-term delayed memory retrieval, which is commonly not feasible in a clinical setting.Here, we investigated the association between remote and unsupervised smartphone-based cognitive assessments and in-clinic cognitive measurement in older participants (CDR = 0, MMSE = 29.2, age = 77). The sample (non-demented at age 70) was derived from the Swedish population-based Gothenburg H70 Birth Cohort Studies. In a subsample of participants, the retrospective correlation with cerebrospinal fluid (CSF) biomarkers analyzed at age 70 was further explored. To this point, 177 H70-participants have consented and were enrolled into the smartphone sub-study. They completed an "Object-in-Room Recall Test" (ORR) remotely and unsupervised using own mobile devices, and the recall session was initiated 24 hours after the initial learning phase. Available previously assessed CSF measures included the Aβ42/Aβ40-ratio, t-tau, p-tau, neurofilament light (NFL), and neurogranin, available in-clinic cognitive tests included the Rey Auditory Verbal Learning Test (RAVLT), Semantic Fluency, Digit-Symbol-Coding, and Mini Mental State Examination. The above-mentioned cognitive tests were used to derive the Preclinical Alzheimer's Cognitive Composite (PACC5), a composite designed to be sensitive to cognitive change in preclinical AD. All associations were examined using Pearson correlation coefficient.Preliminary analyses in a subset of participants yielded relatively strong positive correlations between PACC5 (R = .50, p<.001) and the ORR Long-term Delayed Retrieval. The strongest correlation for an individual test was observed between the RAVLT Delayed Retrieval and the ORR Long-term Delayed Retrieval (R = .52, p<.001). Regarding the CSF biomarkers, Aβ42/Aβ40-ratio at age 70 was positively correlated with the ORR Long-term Delayed Retrieval at age 77 (R = .43, p<.01), while measures of t-tau, p-tau, NFL, and neurogranin at age 70 were not.Our findings demonstrate the potential of smartphone-based cognitive assessment to detect features of preclinical AD in a population-based sample of older adults. Future analyses will address the relationship between these novel cognitive measures in relation to longitudinal CSF- and neuroimaging-based biomarkers and clinical progression.
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| 7. |
- Öhman, Fredrik, et al.
(författare)
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Unsupervised mobile app-based cognitive testing in a population-based study of older adults born 1944
- 2022
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Ingår i: Frontiers in Digital Health. - : Frontiers Media SA. - 2673-253X. ; 4
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Tidskriftsartikel (refereegranskat)abstract
- Background: Mobile app-based tools have the potential to yield rapid, cost-effective, and sensitive measures for detecting dementia-related cognitive impairment in clinical and research settings. At the same time, there is a substantial need to validate these tools in real-life settings. The primary aim of this study was thus to evaluate the feasibility, validity, and reliability of mobile app-based tasks for assessing cognitive function in a population-based sample of older adults. Method: A total of 172 non-demented (Clinical Dementia Rating 0 and 0.5) older participants (aged 76–77) completed two mobile app-based memory tasks—the Mnemonic Discrimination Task for Objects and Scenes (MDT-OS) and the long-term (24h) delayed Object-In-Room Recall Task (ORR-LDR). To determine the validity of the tasks for measuring relevant cognitive functions in this population, we assessed relationships with conventional cognitive tests. In addition, psychometric properties, including test-retest reliability, and the participants’ self-rated experience with mobile app-based cognitive tasks were assessed. Result: MDT-OS and ORR-LDR were weakly-to-moderately correlated with the Preclinical Alzheimer's Cognitive Composite (PACC5) (r = 0.3–0.44, p <.001) and with several other measures of episodic memory, processing speed, and executive function. Test-retest reliability was poor–to-moderate for one single session but improved to moderate–to-good when using the average of two sessions. We observed no significant floor or ceiling effects nor effects of education or gender on task performance. Contextual factors such as distractions and screen size did not significantly affect task performance. Most participants deemed the tasks interesting, but many rated them as highly challenging. While several participants reported distractions during tasks, most could concentrate well. However, there were difficulties in completing delayed recall tasks on time in this unsupervised and remote setting. Conclusion: Our study proves the feasibility of mobile app-based cognitive assessments in a community sample of older adults, demonstrating its validity in relation to conventional cognitive measures and its reliability for repeated measurements over time. To further strengthen study adherence, future studies should implement additional measures to improve task completion on time.
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