The McCusker Subjective Cognitive Impairment Inventory (McSCI): a novel measure of perceived cognitive decline.

BACKGROUND: Subjective cognitive decline (SCD), i.e. self/other-reported concerns on one's cognitive functioning without objective evidence of significant decline, is an indicator of dementia risk. There is little consensus on reliability and validity of the available SCD measures. Therefore, introducing a novel and psychometrically sound measure of SCD is timely. OBJECTIVE: The psychometric properties of a new SCD measure, the McCusker Subjective Cognitive Impairment Inventory-Self-Report (McSCI-S), are reported. METHODS: Through review of previously published measures as well as our clinical and research data on people with SCD, we developed a 46-item self-report questionnaire to assess concerns on six cognitive domains, namely, memory, language, orientation, attention and concentration, visuoconstruction abilities and executive function. The McSCI-S was examined in a cohort of 526 participants using factor analysis, item response theory analysis and receiver operating characteristic (ROC) curve. RESULTS: A unidimensional model provided acceptable fit (CFI = 0.94, TLI = 0.94, RMSEA [90% CI] = 0.052 [.049, 0.055], WRMR = 1.45). The McSCI-S internal consistency was excellent (.96). A cut-off score of ≥24 is proposed to identify participants with SCDs. Higher McSCI-S scores were associated with poorer general cognition, episodic verbal memory, executive function and greater memory complaints and depressive scores (P < .001), controlling for age, sex and education. CONCLUSIONS: Excellent reliability and construct validity suggest the McSCI-S estimates SCDs with acceptable accuracy while capturing self-reported concerns for various cognitive domains. The psychometric analysis indicated that this measure can be used in cohort studies as well as on individual, clinical settings to assess SCDs.

Analysis of agreement between measures of subjective cognitive impairment and probable dementia in the National Health and Aging Trends Study.

BACKGROUND: Subjective cognitive impairment (SCI) measures in population-based surveys offer potential for dementia surveillance, yet their validation against established dementia measures is lacking. METHODS: We assessed agreement between SCI and a validated probable dementia algorithm in a random one-third sample (n = 1936) of participants in the 2012 National Health and Aging Trends Study (NHATS). RESULTS: SCI was more prevalent than probable dementia (12.2% vs 8.4%). Agreement between measures was 90.0% and of substantial strength. Misclassification rates were higher among older and less-educated subgroups due to higher prevalence of false-positive misclassification but did not vary by sex or race and ethnicity. DISCUSSION: SCI sensitivity (63.4%) and specificity (92.5%) against dementia were comparable with similar metrics for the NHATS probable dementia measure against the "gold-standard" Aging, Demographics, and Memory Study-based dementia criteria, implying that population-based surveys may afford cost-effective opportunities for dementia surveillance to assess risk and inform policy. HIGHLIGHTS: The prevalence of subjective cognitive impairment (SCI) is generally higher than that of a validated measure of probable dementia, particularly within the youngest age group, females, Whites, and persons with a college or higher degree. Percent agreement between SCI and a validated measure of probable dementia was 90.0% and of substantial strength (prevalence- and bias-adjusted kappa, 0.80). Agreement rates were higher in older and less-educated subgroups, driven by the higher prevalence of false-positive disagreement, but did not vary significantly by sex or race and ethnicity. SCI's overall sensitivity and specificity were 63.4% and 92.5%, respectively, against a validated measure of probable dementia, suggesting utility as a low-cost option for dementia surveillance. Heterogeneity in agreement quality across subpopulations warrants caution in its use for subgroup analyses.

Improving the DSM-5 approach to cognitive impairment: Developmental prosopagnosia reveals the need for tailored diagnoses.

The Diagnostic Statistical Manual of Mental Disorders (DSM-5) recommends diagnosing neurocognitive disorders (i.e., cognitive impairment) when a patient scores beyond - 1 SD below neurotypical norms on two tests. I review how this approach will fail due to cognitive tests' power limitations, validity issues, imperfect reliabilities, and biases, before summarizing their resulting negative consequences. As a proof of concept, I use developmental prosopagnosia, a condition characterized by difficulties recognizing faces, to show the DSM-5 only diagnoses 62-70% (n1 = 61, n2 = 165) versus 100% (n1 = 61) through symptoms alone. Pooling the DSM-5 missed cases confirmed the presence of group-level impairments on objective tests, which were further evidenced through meta-analyses, thus validating their highly atypical symptoms. These findings support a paradigm shift towards bespoke diagnostic approaches for distinct cognitive impairments, including a symptom-based method when validated effective. I reject dogmatic adherence to the DSM-5 approach to neurocognitive disorders, and underscore the importance of a data driven, transdiagnostic approach to understanding patients' subjective cognitive impairments. This will ultimately benefit patients, their families, clinicians, and scientific progress.

Cerebrospinal Fluid Profile of Lipid Mediators in Alzheimer's Disease.

Alzheimer's disease (AD) develops into dementia over a period of several years, during which subjective cognitive impairment (SCI) and mild cognitive impairment (MCI) can be used as intermediary diagnoses of increasing severity. Chronic neuroinflammation resulting from insufficient resolution is involved in the pathogenesis of AD and is associated with cognitive impairment. Specialized pro-resolving lipid mediators (LMs) that promote the resolution of inflammation may be valuable markers in AD diagnosis and as therapeutic targets. Liquid chromatography-tandem mass spectrometry was used to analyze pro-resolving and pro-inflammatory LMs in cerebrospinal fluid (CSF) from patients with cognitive impairment ranging from subjective impairment to a diagnosis of AD and correlated to cognition, CSF tau, and ß-amyloid. Resolvin (Rv) D4, RvD1, neuroprotectin D1 (NPD1), maresin 1 (MaR1), and RvE4 were lower in AD and/or MCI compared to SCI. The pro-inflammatory LTB4 and 15-HETE were higher in AD and MCI, respectively, while PGD2, PGE2, and PGF2a were decreased in AD, compared to SCI. RvD4 was also negatively correlated to AD tangle biomarkers, and positive correlations to cognitive test scores were observed for both pro-resolving LMs and their precursor fatty acids. In this exploratory study of the lipidome in CSF of AD, MCI, and SCI, the results indicate a shift in the LM profile from pro-resolving to pro-inflammatory in progression to AD, suggesting that it may be of use as a biomarker when followed by confirmation by replication studies.

Relationships between neuropsychiatric symptoms and cognitive profiles in Alzheimer's disease and related syndromes.

OBJECTIVES: To investigate the rate of occurrence of neuropsychiatric symptoms (NPS) and their relationship with age, sex and cognitive performance in subjects with Alzheimer's disease and related dementias (Alzheimer's disease and related dementias [ADRD]). METHODS: This is a retrospective matched case-control study. Data from memory clinic patients included demographic information presence of NPS, and cognitive testing of Orientation, Immediate and Delayed Memory, Visuospatial Function, Working Memory, Attention, Executive Control and Language. Participants were Individuals with subjective cognitive impairment (n = 352), mild cognitive impairment (MCI) (n = 369), vascular MCI (n = 80), Alzheimer's disease (n = 147), vascular dementia (n = 41), mixed dementia (n = 33), and healthy controls (n = 305). Logistic regression was used to investigate the relationship between the presence of NPS, age and sex. A generalised additive model was used to investigate the relationship between presence of NPS, age and cognitive impairment. Analysis of variance was used to investigate differences in cognition between younger and older groups with and without NPS. RESULTS: We found an increased likelihood of occurrence of NPS in younger individuals and females across cohorts. Anxiety, depression, agitation, and apathy were associated with higher overall rate of NPS. We also found that individuals under 65 years of age with NPS had worse cognitive scores than their counterpart without NPS. CONCLUSION: The younger group with ADRD and NPS had lower cognitive scores, probably reflecting more aggressive neurodegenerative disease. Further work will be needed to elicit the degree to which imaging or mechanistic abnormalities distinguish this group.

Impact of white matter hyperintensities on subjective cognitive decline phenotype in a diverse cohort of cognitively normal older adults.

OBJECTIVES: Subjective cognitive decline (SCD) is a preclinical stage of AD. White matter hyperintensities (WMH), an MRI marker of cerebral small vessel disease, associate with AD biomarkers and progression. The impact of WMH on SCD phenotype is unclear. METHODS/DESIGN: A retrospective, cross-sectional analysis was conducted on a diverse cohort with SCD evaluated at the NYU Alzheimer's Disease Research Center between January 2017 and November 2021 (n = 234). The cohort was dichotomized into none-to-mild (n = 202) and moderate-to-severe (n = 32) WMH. Differences in SCD and neurocognitive assessments were evaluated via Wilcoxon or Fisher exact tests, with p-values adjusted for demographics using multivariable logistic regression. RESULTS: Moderate-to-severe WMH participants reported more difficulty with decision making on the Cognitive Change Index (1.5 SD 0.7 vs. 1.2 SD 0.5, p = 0.0187) and worse short-term memory (2.2 SD 0.4 vs. 1.9 SD 0.3, p = 0.0049) and higher SCD burden (9.5 SD 1.6 vs. 8.7 SD 1.7, p = 0.0411) on the Brief Cognitive Rating Scale. Moderate-to-severe WMH participants scored lower on the Mini-Mental State Examination (28.0 SD 1.6 vs. 28.5 SD 1.9, p = 0.0491), and on delayed paragraph (7.2 SD 2.0 vs. 8.8 SD 2.9, p = 0.0222) and designs recall (4.5 SD 2.3 vs. 6.1 SD 2.5, p = 0.0373) of the Guild Memory Test. CONCLUSIONS: In SCD, WMH impact overall symptom severity, specifically in executive and memory domains, as well as objective performance on global and domain-specific tests in verbal memory and visual working/associative memory.

Prediction of conversion to dementia disorders based on timed up and go dual-task test verbal and motor outcomes: a five-year prospective memory-clinic-based study.

BACKGROUND: While assessment tools can increase the detection of cognitive impairment, there is currently insufficient evidence regarding clinical outcomes based on screening for cognitive impairment in older adults. METHODS: The study purpose was to investigate whether Timed Up and Go dual-task test (TUGdt) results, based on TUG combined with two different verbal tasks (name different animals, TUGdt-NA, and recite months in reverse order, TUGdt-MB), predicted dementia incidence over a period of five years among patients (N = 186, mean = 70.7 years; 45.7% female) diagnosed with Subjective Cognitive Impairment (SCI) and Mild Cognitive Impairment (MCI) following assessment at two memory clinics. Associations between TUG parameters and dementia incidence were examined in Cox regression models. RESULTS: During follow-up time (median (range) 3.7 (0.1-6.1) years) 98 participants converted to dementia. Novel findings indicated that the TUGdt parameter words/time, after adjustment for age, gender, and education, can be used for the prediction of conversion to dementia in participants with SCI or MCI over a period of five years. Among the TUG-related parameters investigated, words/time showed the best predictive capacity, while time scores of TUG and TUGdt as well as TUGdt cost did not produce significant predictive results. Results further showed that the step parameter step length during TUGdt predicts conversion to dementia before adjustment for age, gender, and education. Optimal TUGdt cutoffs for predicting dementia at 2- and 4-year follow-up based on words/time were calculated. The sensitivity of the TUGdt cutoffs was high at 2-year follow-up: TUGdt-NA words/time, 0.79; TUGdt-MB words/time, 0.71; reducing respectively to 0.64 and 0.65 at 4-year follow-up. CONCLUSIONS: TUGdt words/time parameters have potential as cost-efficient tools for conversion-to-dementia risk assessment, useful for research and clinical purposes. These parameters may be able to bridge the gap of insufficient evidence for such clinical outcomes. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT05893524: https://www. CLINICALTRIALS: gov/study/NCT05893524?id=NCT05893524&rank=1 .

Machine learning analyses identify multi-modal frailty factors that selectively discriminate four cohorts in the Alzheimer's disease spectrum: a COMPASS-ND study.

BACKGROUND: Frailty indicators can operate in dynamic amalgamations of disease conditions, clinical symptoms, biomarkers, medical signals, cognitive characteristics, and even health beliefs and practices. This study is the first to evaluate which, among these multiple frailty-related indicators, are important and differential predictors of clinical cohorts that represent progression along an Alzheimer's disease (AD) spectrum. We applied machine-learning technology to such indicators in order to identify the leading predictors of three AD spectrum cohorts; viz., subjective cognitive impairment (SCI), mild cognitive impairment (MCI), and AD. The common benchmark was a cohort of cognitively unimpaired (CU) older adults. METHODS: The four cohorts were from the cross-sectional Comprehensive Assessment of Neurodegeneration and Dementia dataset. We used random forest analysis (Python 3.7) to simultaneously test the relative importance of 83 multi-modal frailty indicators in discriminating the cohorts. We performed an explainable artificial intelligence method (Tree Shapley Additive exPlanation values) for deep interpretation of prediction effects. RESULTS: We observed strong concurrent prediction results, with clusters varying across cohorts. The SCI model demonstrated excellent prediction accuracy (AUC = 0.89). Three leading predictors were poorer quality of life ([QoL]; memory), abnormal lymphocyte count, and abnormal neutrophil count. The MCI model demonstrated a similarly high AUC (0.88). Five leading predictors were poorer QoL (memory, leisure), male sex, abnormal lymphocyte count, and poorer self-rated eyesight. The AD model demonstrated outstanding prediction accuracy (AUC = 0.98). Ten leading predictors were poorer QoL (memory), reduced olfaction, male sex, increased dependence in activities of daily living (n = 6), and poorer visual contrast. CONCLUSIONS: Both convergent and cohort-specific frailty factors discriminated the AD spectrum cohorts. Convergence was observed as all cohorts were marked by lower quality of life (memory), supporting recent research and clinical attention to subjective experiences of memory aging and their potentially broad ramifications. Diversity was displayed in that, of the 14 leading predictors extracted across models, 11 were selectively sensitive to one cohort. A morbidity intensity trend was indicated by an increasing number and diversity of predictors corresponding to clinical severity, especially in AD. Knowledge of differential deficit predictors across AD clinical cohorts may promote precision interventions.

The Early Stage of Abnormal Aging: Cognitive Impairment.

Cognitive impairment has become an important aspect affecting the health and quality of life of middle-aged and elderly people, which is defined as the difficulty of thought processing and leads to memory loss, difficulties making decisions, the inability to concentrate, and difficulties learning. The process of cognitive ability decline with age goes through subjective cognitive impairment (SCI) to mild cognitive impairment (MCI). There is abundant evidence supporting the link between cognitive impairment and several modifiable risk factors, such as physical activity, social activity, mental activity, higher education, and management of cardiovascular risk factors (diabetes, obesity, smoking, hypertension, and obesity). Meanwhile, these factors also provide a new perspective for the prevention of cognitive impairment and dementia.

Relationship between eating problems and the risk of dementia: A retrospective study.

BACKGROUND: Older adults and individuals with decreased cognition often experience appetite changes and weight loss. As weight loss can result in cognitive decline, change in appetite may be an important contributor to the onset of dementia. However, there is a lack of relevant studies on this topic. This study aimed to determine the relationship between appetite changes, weight loss, and dementia onset. METHODS: A total of 135 patients with normal cognitive function, subjective cognitive impairment, and mild cognitive impairment who were assessed using the Neuropsychiatric Inventory 12 item version (NPI-12) and followed up for at least 1 month were enrolled in the study. All patients underwent a Mini-Mental State Examination (MMSE). Eating problems were assessed using the NPI Eating Problems Score. Appetite and weight loss were assessed at the first visit by caregivers. Kaplan-Meier survival analyses with a log-rank test were used to compare the time to the onset of dementia between the presence or absence of the NPI eating problems, appetite loss, weight loss, or NPI depression scores. Cox proportional hazards regression models using the forced entry method were employed to estimate the hazard ratio (HR) for dementia. RESULTS: Weight loss was significantly related to dementia onset (P = 0.027) in the Kaplan-Meier survival analyses, while eating problems, appetite loss, and depression showed no significant association (P = 0.519, P = 0.326, and P = 0.317, respectively). In the Cox proportional hazards regression models, the MMSE score was found to be a significant factor (P = 0.021, HR = 0.871); moreover, weight loss tended to increase the risk of dementia onset (P = 0.057, HR = 1.694). CONCLUSIONS: Weight loss experienced by older adults could contribute to an increased risk of developing dementia.

What Happens to the Worried Well? Follow-Up of Subjective Cognitive Impairment.

BACKGROUND: Increasing concern around perceived neurocognitive decline is increasing the number of referrals to specialists and anxiety for patients. We aimed to explore the likelihood of the "worried well" experiencing neurocognitive decline and developing a neurological diagnosis. METHODS: A total of 166 "worried well" patients who attended the Rural and Remote Memory Clinic (RRMC) between 2004 and 2019 were included in this study. Demographic, health, social, and behavioral factors were measured at the initial visit. Mini-Mental State Examination (MMSE), Center for Epidemiologic Studies Depression Scale (CESD), and Functional Activities Questionnaire (FAQ) scores were measured and compared at initial assessment and at 1-year follow-up. MMSE scores over time were assessed with a mean follow-up of 2.95 years (SD 2.87). RESULTS: No statistically significant difference was seen in MMSE, CESD, or FAQ scores when comparing clinic day to 1-year follow-up, and no consistent pattern of MMSE score over time was seen. Of the 166 patients with subjective cognitive impairment (SCI) on initial assessment, 5 were diagnosed with Alzheimer's disease (AD) at 8.5, 3.5, 5, 3, and 1.75 years; 2 were diagnosed with MCI at 1 and 2 years; 1 was diagnosed with vascular cognitive impairment at 5 years; and 1 was diagnosed with frontotemporal dementia (FTD) at 0.5 years. CONCLUSION: The likelihood of a patient with SCI developing a neurological diagnosis is reassuringly low (9/166), but not irrelevant. This, along with the benefits of early diagnosis and treatment for dementia, leads us to believe that patients with SCI should still be seen in follow-up at least at the 1-year mark.

Volumetric changes within hippocampal subfields in Alzheimer's disease continuum.

Neurodegeneration in Alzheimer's disease continuum (ADC) starts from the transentorhinal cortex and progresses within hippocampal circuitry following the connectivity of its subfields transsynaptically. We aimed to track volumetric changes of the hippocampal subfields by comparing three stages of the ADC. MRI data of 15 patients diagnosed with Alzheimer's disease dementia (ADD), 15 patients with amnestic mild cognitive impairment (MCI), and 15 individuals with subjective cognitive impairment (SCI) were analyzed. The hippocampal formation was subdivided into CA1, CA3, subiculum (SUB), and dentate gyrus (DG) using FreeSurfer and volumetric values were obtained. The volumetric values were analyzed with ANCOVA and intracranial volume was selected as a covariate. ANCOVA results of the hippocampal subfields displayed statistically significant differences among the three groups in bilateral CA1, SUB, and DG volumes (Right CA1: F = 7.316, p = 0.002; left CA1: F = 6.768, p = 0.003; right SUB: F = 9.390, p < 0.001; left SUB: F = 5.925, p = 0.005; right DG: F = 9.469, p < 0.001; left DG: F = 9.354, p < 0.001), while CA3 volumes were not significantly different among the groups. Post hoc comparisons revealed that volume reductions in bilateral CA1, DG, and SUB were present in ADD compared to both MCI and SCI groups. No significant volumetric changes were found between the SCI and MCI groups. While our results are generally consistent with the literature in terms of the CA1 and SUB findings, they additionally point to the importance of the significant volume loss in DG and the resilience of the CA3 sector.

Dementia-Free Older Adults with Subjective Cognitive Impairment Show Lower Mood and No Deficits of Spontaneous Memory Retrieval.

The aim of the present study was to investigate whether spontaneous retrieval deficits could be found in individuals with Subjective Cognitive Impairment (SCI). The sample consisted of 52 participants over 65 years of age (mean age = 76.00; SD = 7.48) with 11 males. We asked 26 individuals with SCI and 26 individuals without SCI to perform a prospective memory (PM) task that had previously demonstrated spontaneous retrieval deficits in individuals with Mild Cognitive Impairment. The results did not demonstrate the expected differences in a PM task based on spontaneous retrieval [t(50) = -.05; p = .964, d = .01]. However, participants' mood did predict their subjective memory complaints (ß = -.51; p < .001) and their subjective assessment of their future memory performance (r = -.38; p < .01). The findings are in line with numerous studies which have shown that SCI is more related to mood disturbance than to objective cognitive functioning.

Prevalence of mild behavioural impairment domains: a meta-analysis.

BACKGROUND: Mild behavioural impairment (MBI) is a neurobehavioural syndrome characterised by later life emergence of persistent neuropsychiatric symptoms. Our previous meta-analysis showed that MBI is prevalent among cognitively normal (CN), subjective cognitive impairment (SCI) and mild cognitive impairment (MCI) subjects. This study is to calculate the pooled prevalence of MBI domains among CN, SCI, and MCI subjects. METHODS: A search of relevant literature published between 1 January 2003 and 6 August 2021 was conducted. Meta-analysis using a random effects model and meta-regression was performed. RESULTS: Ten studies conducted among 12 067 subjects (9758 CN, 1057 SCI and 1252 MCI) with retrievable MBI domains data underwent meta-analysis, revealing pooled prevalence of affective dysregulation (AFD), impulse dyscontrol (IDS), decreased motivation (DMT), social inappropriateness (SIP) and abnormal perception/thought (APT) of 32.84% (95% CI 24.44-42.5%), 26.67% (95% CI 18.24-37.23%), 12.58% (95% CI 6.93-21.75%), 6.05% (95% CI 3.44-10.42%), and 2.81% (95% CI 1.67-4.69%) respectively. AFD and APT domains demonstrated ordinal increase in pooled prevalence from CN, SCI and MCI subgroups, but meta-regression demonstrated no significant difference in MBI domains prevalence among cognitive subgroups (in contrast to the significant increase in MBI prevalence from CN to SCI to MCI). The pooled prevalence of AFD and IDS are greater than that of DMT, SIP and APT among all cognitive subgroups. Several variables were found to explain the high heterogeneity. CONCLUSIONS: AFD and IDS are the two most prevalent MBI domains and remain the same with cognitive deterioration. This finding is potentially relevant to clinical practice.

Effects of brief acceptance and commitment therapy (ACT) on subjective cognitive impairment in breast cancer patients undergoing chemotherapy.

PURPOSE: This study examined the efficacy of a brief acceptance and commitment therapy (ACT) on subjective cognitive impairment in breast cancer patients undergoing chemotherapy. METHODS: Data collection was carried out in 3-time points: baseline (T1), screening (T2), and post-treatment (T3). Respondents who had significant subjective cognitive impairment were randomly divided into two groups: intervention (n = 30) and waitlist (n = 30). Respondents in the intervention group received 4 sessions of 1 hour of ACT therapy. FINDINGS: Respondents in the intervention group showed significant improvement in subjective cognitive impairment, depression, anxiety, and psychological inflexibility after the ACT intervention (p < 0.05). After controlling the covariates, group differences in all variables were significant except for fatigue and psychological inflexibility has the highest effect size (d = 4.69). CONCLUSION: ACT could be considered as an effective intervention to ameliorate subjective cognitive impairment, anxiety, depression, and psychological inflexibility in breast cancer patients undergoing chemotherapy. IMPLICATIONS FOR PSYCHOSOCIAL PROVIDERS: This study highlights the importance of screening for subjective cognitive impairment in breast cancer patients undergoing chemotherapy and heightens their opportunity to receive proper management as earlier as possible.

A Comparative Study of Functional Connectivity Measures for Brain Network Analysis in the Context of AD Detection with EEG.

This work addresses brain network analysis considering different clinical severity stages of cognitive dysfunction, based on resting-state electroencephalography (EEG). We use a cohort acquired in real-life clinical conditions, which contains EEG data of subjective cognitive impairment (SCI) patients, mild cognitive impairment (MCI) patients, and Alzheimer's disease (AD) patients. We propose to exploit an epoch-based entropy measure to quantify the connectivity links in the networks. This entropy measure relies on a refined statistical modeling of EEG signals with Hidden Markov Models, which allow a better estimation of the spatiotemporal characteristics of EEG signals. We also propose to conduct a comparative study by considering three other measures largely used in the literature: phase lag index, coherence, and mutual information. We calculated such measures at different frequency bands and computed different local graph parameters considering different proportional threshold values for a binary network analysis. After applying a feature selection procedure to determine the most relevant features for classification performance with a linear Support Vector Machine algorithm, our study demonstrates the effectiveness of the statistical entropy measure for analyzing the brain network in patients with different stages of cognitive dysfunction.

Dual-task tests discriminate between dementia, mild cognitive impairment, subjective cognitive impairment, and healthy controls - a cross-sectional cohort study.

BACKGROUND: Discrimination between early-stage dementia and other cognitive impairment diagnoses is central to enable appropriate interventions. Previous studies indicate that dual-task testing may be useful in such differentiation. The objective of this study was to investigate whether dual-task test outcomes discriminate between groups of individuals with dementia disorder, mild cognitive impairment, subjective cognitive impairment, and healthy controls. METHODS: A total of 464 individuals (mean age 71 years, 47% women) were included in the study, of which 298 were patients undergoing memory assessment and 166 were cognitively healthy controls. Patients were grouped according to the diagnosis received: dementia disorder, mild cognitive impairment, or subjective cognitive impairment. Data collection included participants' demographic characteristics. The patients' cognitive test results and diagnoses were collected from their medical records. Healthy controls underwent the same cognitive tests as the patients. The mobility test Timed Up-and-Go (TUG single-task) and two dual-task tests including TUG (TUGdt) were carried out: TUGdt naming animals and TUGdt months backwards. The outcomes registered were: time scores for TUG single-task and both TUGdt tests, TUGdt costs (relative time difference between TUG single-task and TUGdt), number of different animals named, number of months recited in correct order, number of animals per 10 s, and number of months per 10 s. Logistic regression models examined associations between TUG outcomes pairwise between groups. RESULTS: The TUGdt outcomes "animals/10 s" and "months/10 s" discriminated significantly (p < 0.001) between individuals with an early-stage dementia diagnosis, mild cognitive impairment, subjective cognitive impairment, and healthy controls. The TUGdt outcome "animals/10 s" showed an odds ratio of 3.3 (95% confidence interval 2.0-5.4) for the groups dementia disorders vs. mild cognitive impairment. TUGdt cost outcomes, however, did not discriminate between any of the groups. CONCLUSIONS: The novel TUGdt outcomes "words per time unit", i.e. "animals/10 s" and "months/10 s", demonstrate high levels of discrimination between all investigated groups. Thus, the TUGdt tests in the current study could be useful as complementary tools in diagnostic assessments. Future studies will be focused on the predictive value of TUGdt outcomes concerning dementia risk for individuals with mild cognitive impairment or subjective cognitive impairment.

Effects of the online computerized cognitive training program BEYNEX on the cognitive tests of individuals with subjective cognitive impairment and Alzheimer's disease on rivastigmine therapy

Background/aim: Clinical trials conducted on the efficacy of computerized cognitive training (CCT) programs have not led to any important breakthroughs. CCT is a safe and inexpensive approach, but its efficacy in patients on rivastigmine therapy has not been evaluated. This study aims to compare effects of CCT and examines rivastigmine to determine whether CCT has any further contributions to make. Materials and methods: Sixty individuals with subjective memory complaint (SCI) and 60 individuals with early stage Alzheimer's dementia (AD) were subjected to the Montreal Cognitive Assessment (MoCA), Cambridge Cognition (CANTAB tests: MOT, PRM, DMS, SWM, PAL, RTI), and Bayer-ADL. After screening patients who were diagnosed with AD, we started rivastigmine patch treatment (10 cm2 = 9.5 mg). The SCI and AD groups were randomly divided, and one each of the SCI and AD groups were accessed using BEYNEX, a web-based program. After a minimum of at least 1200 min of use, the diagnostic tests were repeated. Results: The AD groups' MoCA scores of the BEYNEX-practicing group demonstrated meaningfully increase, whereas they decreased in the control group, and the Bayer-ADL scores indicated improvement in ADL. The CANTAB tests both in SCI and AD and in groups using BEYNEX showed positive improvement in MOT, DMS, and PAL data. Conclusion: This study is a rare example that focuses on both groups with SCI and AD. The efficacy of CCT varies across cognitive domains and shows significant efficacy for AD but small improvements in cognitively healthy older adults. In future studies, integration with a smart learning algorithm may lead to interesting observations on which parameters are more sensitive to change under long-term use of CCT in a large number of subjects.

The Relationship between Subjective Cognitive Impairment and Activity Participation: A Systematic Review.

This systematic review synthesizes current evidence to determine how subjective cognitive impairment (SCI) relates to physical, cognitive, and social activity participation in older adults. Nine peer-reviewed articles were reviewed and appraised for evidence quality. Most were cross-sectional and had high methodological quality. Higher levels of SCI were almost universally associated with lower levels of physical and social activity participation. These findings suggest that older adults who report higher SCI engage in fewer activities. Examining these relationships longitudinally is an important next step to determine whether SCI precedes withdrawing from activities in older adults.

Lifestyle Factors and Subjective Cognitive Impairment in Patients Seeking Help at a Memory Disorder Clinic: The Role of Negative Life Events.

BACKGROUND/AIMS: A large proportion of patients at memory disorders clinics are classified as having subjective cognitive impairment (SCI). Previous research has investigated whether particular lifestyle factors known to affect cognition can be useful in differentiating patients who do not show objective evidence of memory decline. There may also exist subgroups of patients with respect to lifestyle factors that could help clinicians to understand the patient group that presents to memory clinics. These may differ in diagnostic outcome. Very little is known about potential subgroups; however, but such information may help guide interventions and potentially eliminate unnecessary diagnostic procedures. The current study investigated patterns of lifestyle-related variables, including stress, sleep, sensory sensitivity, depression, and negative life events in patients presenting to a memory disorders clinic. The aim was to determine whether subgroups existed and whether it was possible to distinguish those with objectively impaired cognition. METHODS: One hundred and seventy-eight patients (mean age 58 years) from a University Hospital Memory Disorders Clinic. RESULTS: Cluster analysis identified three groups of lifestyle-related variables. Strong determinants of clusters were negative life events and age. Patients with a high number of negative life events also tended to have highest self-reported memory complaint, higher levels of stress, depression, and sensory sensitivity. However, they did not perform the worst on memory testing. In contrast, individuals who performed the worst on memory tests were older, tended to have the least memory complaints, and less negative lifestyle factors; this group also included the highest proportion of patients with mild cognitive impairment and had the lowest median amyloid A-beta 42 (Aß42). The group with the best cognitive performance were younger, included the highest proportion of patients with SCI and the highest median Aß42. On lifestyle variables, their ratings fell in between the other groups. CONCLUSIONS: Lifestyle subgroups of patients were determined by stress, emotional problems, and age. The groups were significantly associated with Aß42 and diagnostic outcome. This pattern may confound the differentiation between objective and subjective memory problems. Asking about lifestyle variables, in conjunction with neuropsychological testing, could potentially identify individuals who are not likely to have objective memory impairment and guide interventions.