Assessment Of Cognitive Function Research Articles

The prevalence and clinical correlation factors of cognitive impairment in patients with major depressive disorder hospitalized during the acute phase

ObjectiveThis study aimed to investigate the prevalence of cognitive impairment among patients with major depressive disorder (MDD) hospitalized during the acute phase and to analyze the in-depth association between this cognitive impairment and clinical correlation factors.MethodsIn this cross-sectional study, we recruited 126 patients aged between 18 and 65 years who were diagnosed with MDD. All these patients were inpatients from the Department of Psychiatry at the Second People’s Hospital of Hunan Province. We employed a series of assessment tools, including the Pittsburgh Sleep Quality Index (PSQI), the 16-item Dysfunctional Beliefs and Attitudes about Sleep Scale (DBAS-16), the Pre-sleep Arousal Scale (PSAS), the Morningness-Eveningness Questionnaire (MEQ), the Hamilton Anxiety Rating Scale (HAMA), and the 17-item Hamilton Depression Rating Scale (HAMD-17). The patients were divided into a cognitive impairment group and a non-cognitive impairment group based on their scores on the Montreal Cognitive Assessment Scale (MoCA). Through Spearman’s correlation analysis, we explored the correlation between the total MoCA score and the score of each factor. Additionally, we utilized binary logistic regression analysis to investigate the relationship between cognitive impairment and clinically relevant factors in MDD patients hospitalized during the acute phase and plotted ROC curves to evaluate their clinical efficacy.ResultsIn this study, we found that the prevalence of cognitive impairment among MDD patients hospitalized during the acute phase was as high as 63.49%. Through statistical analysis, we observed significant differences between the cognitive impairment group and the non-cognitive impairment group in terms of age, place of residence, education level, and HAMD-17 scores. In the Spearman correlation analysis, we noted the following trends: visuospatial and executive abilities were negatively correlated with the HAMD-17 score (P < 0.05); naming ability was positively correlated with the PSAS score but negatively correlated with the MEQ score (P < 0.05); memory was also negatively correlated with the MEQ score (P < 0.05); attention was negatively correlated with the HAMA score; and abstract cognitive ability was negatively correlated with the MEQ score (P < 0.05). Through binary logistic regression analysis, we further revealed the relationship between cognitive impairment and factors such as living in a rural area (OR = 2.7, 95% CI = 1.083-6.731, P < 0.05), increased age (OR = 1.049, 95% CI = 1.013-1.087, P < 0.01), and the HAMD-17 score (OR = 1.10295, 95% CI = 1.031-11.79, P < 0.01). Additionally, ROC curve analysis demonstrated a significant correlation between the HAMD-17 score and the prediction of cognitive function in MDD patients hospitalized during the acute phase (P < 0.001). Specifically, the AUC for the HAMD-17 score was 0.73, with an optimal cut-off value of 19.5, sensitivity of 70.0%, and specificity of 63.0%. Furthermore, the AUC for age was 0.71, with an optimal cut-off value of 33.5, sensitivity of 59.0%, and specificity of 80.0%.ConclusionsThis study indicates that MDD patients hospitalized during the acute phase have a higher prevalence of cognitive impairment. This phenomenon reflects a significant correlation between clinical factors such as age, sleep-related characteristics, and the severity of depression with cognitive impairment. Therefore, regular assessment of cognitive function in MDD patients and early intervention may be crucial for the treatment and prognosis of the disease.

Functional Cognition: Moving the Field Forward.

The concept of functional cognition has been variously defined, but at its core relates to how cognitive and performance abilities are integrated and used in everyday life. Functional cognition is a fundamental element of occupational performance, and functional cognitive assessment and intervention are central to how occupational therapy can improve client outcomes. Attendees at a conference convened by the American Occupational Therapy Foundation identified areas where the construct of functional cognition required further clarification. This paper briefly reviews these issues setting the stage for further conceptual analysis. The paper also examines the practical challenges that must be addressed before functional cognitive assessment and intervention can be fully integrated into occupational therapy practitioners' professional practice. Potential routes to address these challenges are identified.

Factors Affecting Life Satisfaction Among People With Physical Disabilities During COVID-19: Observational Evidence from a Korean Cohort Study.

To determine the factors influencing the life satisfaction of people with physical disabilities during the COVID-19 pandemic, considering demographics, disability-related characteristics, health behaviors, and psychosocial characteristics. We used cross-sectional data from 301 respondents of the 2021/2022 survey of the Korean Health Cohort Study for People with Physical Disabilities. Descriptive statistics were used to analyze the research subjects' characteristics, and chi-square tests and multiple logistic regression were used to identify the determinants of life satisfaction. Among socio demographic variables, occupation had a strong association with life satisfaction. Significant health behavior variables included daily regular meals, weight control effort, and chronic pain. All psychosocial characteristics (perceived stress, depression, suicidal ideation, cognitive function assessment, subjective health status, family satisfaction, income satisfaction) were strongly associated with life satisfaction. Results of the analysis of factors affecting life satisfaction showed that unemployment, lack of regular exercise, elevated stress, suicidal thoughts, and dissatisfaction with family contributed to increased life dissatisfaction. Economic support through job creation that considers the specific characteristics of people with disabilities, and social access through community integration services that encourage participation in social activities, should be prioritized.

Assessment of Sensomotor Development, Behavioral Reactions, and Cognitive Functions in the Second-Generation Offspring of Rats with Hyperhomocysteinemia

Assessment of Sensomotor Development, Behavioral Reactions, and Cognitive Functions in the Second-Generation Offspring of Rats with Hyperhomocysteinemia

Sensor-Derived Measures of Motor and Cognitive Functions in People With Multiple Sclerosis Using Unsupervised Smartphone-Based Assessments: Proof-of-Concept Study.

Smartphones and wearables are revolutionizing the assessment of cognitive and motor function in neurological disorders, allowing for objective, frequent, and remote data collection. However, these assessments typically provide a plethora of sensor-derived measures (SDMs), and selecting the most suitable measure for a given context of use is a challenging, often overlooked problem. This analysis aims to develop and apply an SDM selection framework, including automated data quality checks and the evaluation of statistical properties, to identify robust SDMs that describe the cognitive and motor function of people with multiple sclerosis (MS). The proposed framework was applied to data from a cross-sectional study involving 85 people with MS and 68 healthy participants who underwent in-clinic supervised and remote unsupervised smartphone-based assessments. The assessment provided high-quality recordings from cognitive, manual dexterity, and mobility tests, from which 47 SDMs, based on established literature, were extracted using previously developed and publicly available algorithms. These SDMs were first separately and then jointly screened for bias and normality by 2 expert assessors. Selected SDMs were then analyzed to establish their reliability, using an intraclass correlation coefficient and minimal detectable change at 95% CI. The convergence of selected SDMs with in-clinic MS functional measures and patient-reported outcomes was also evaluated. A total of 16 (34%) of the 47 SDMs passed the selection framework. All selected SDMs demonstrated moderate-to-good reliability in remote settings (intraclass correlation coefficient 0.5-0.85; minimal detectable change at 95% CI 19%-35%). Selected SDMs extracted from the smartphone-based cognitive test demonstrated good-to-excellent correlation (Spearman correlation coefficient, |ρ|>0.75) with the in-clinic Symbol Digit Modalities Test and fair correlation with Expanded Disability Status Scale (EDSS) scores (0.25≤|ρ|<0.5). SDMs extracted from the manual dexterity tests showed either fair correlation (0.25≤|ρ|<0.5) or were not correlated (|ρ|<0.25) with the in-clinic 9-hole peg test and EDSS scores. Most selected SDMs from mobility tests showed fair correlation with the in-clinic timed 25-foot walk test and fair to moderate-to-good correlation (0.5<|ρ|≤0.75) with EDSS scores. SDM correlations with relevant patient-reported outcomes varied by functional domain, ranging from not correlated (cognitive test SDMs) to good-to-excellent correlation (|ρ|>0.75) for mobility test SDMs. Overall, correlations were similar when smartphone-based tests were performed in a clinic or remotely. Reported results highlight that smartphone-based assessments are suitable tools to remotely obtain high-quality SDMs of cognitive and motor function in people with MS. The presented SDM selection framework promises to increase the interpretability and standardization of smartphone-based SDMs in people with MS, paving the way for their future use in interventional trials.

Analysis of Speech Features in Alzheimer's Disease with Machine Learning: A Case-Control Study.

Changes in the speech and language of patients with Alzheimer's disease (AD) have been reported. Using machine learning to characterize these irregularities may contribute to the early, non-invasive diagnosis of AD. We conducted cognitive function assessments, including the Mini-Mental State Examination, with 83 patients with AD and 75 healthy elderly participants, and recorded pre- and post-assessment conversations to evaluate participants' speech. We analyzed the characteristics of the spectrum, intensity, fundamental frequency, and minute temporal variation (∆) of the intensity and fundamental frequency of the speech and compared them between patients with AD and healthy participants. Additionally, we evaluated the performance of the speech features that differed between the two groups as single explanatory variables. We found significant differences in almost all elements of the speech spectrum between the two groups. Regarding the intensity, we found significant differences in all the factors except for the standard deviation between the two groups. In the performance evaluation, the areas under the curve revealed by logistic regression analysis were higher for the center of gravity (0.908 ± 0.036), mean skewness (0.904 ± 0.023), kurtosis (0.932 ± 0.023), and standard deviation (0.977 ± 0.012) of the spectra. This study used machine learning to reveal speech features of patients diagnosed with AD in comparison with healthy elderly people. Significant differences were found between the two groups in all components of the spectrum, paving the way for early non-invasive diagnosis of AD in the future.

Effects of variation in exercise training load on cognitive performances and neurotrophic biomarkers in patients with coronary artery disease.

This study compared the effects of linear (LP) and nonlinear (NLP) training periodization on cognitive functions, neurotrophic biomarkers [plasma brain-derived neurotrophic factor (BDNF), insulin-like growth factor-1 (IGF-1)], and cathepsin-B in patients with coronary artery disease (CAD). Forty-four patients with CAD reported to our laboratory on two occasions to undergo testing procedures before and after training sessions, and were then blindly randomized to NLP or LP for 36 training sessions. Visit 1 included blood samples and a maximal cardiopulmonary exercise testing to get maximal oxygen uptake (V̇o2peak). Visit 2 included cognitive functions assessment. Thirty-nine patients completed the study (LP: n = 20, NLP: n = 19), with no observed changes in cognitive performances after the training intervention in either group. IGF-1 concentration decreased in both groups (time-effect: P < 0.001), whereas BDNF concentration increased (time-effect: P < 0.05) without group interaction, and cathepsin-B did not change after the intervention. Associations were found between ΔV̇o2peak and ΔBDNF (R2 = 0.18, P = 0.04), and ΔIGF-1 and Δshort-term/working memory (R2 = 0.17, P = 0.01) in the pooled sample, with ΔIGF-1 and ΔBDNF accounting for 10% of the variance in Δshort-term/working memory. In the LP group, associations were found between ΔV̇o2peak and ΔBDNF (R2 = 0.45, P = 0.02), ΔBDNF and Δshort-term/working memory (R2 = 0.62, P = 0.004), ΔIGF-1 and Δshort-term/working memory (R2 = 0.31, P = 0.01), and ΔIGF-1 and Δexecutive function (R2 = 0.22, P = 0.04). This study indicates that linear and nonlinear training periodization led to an increase in BDNF, and a decrease in IGF-1, without change in cognitive function in individuals with stable CAD.NEW & NOTEWORTHY We used a novel and supervised iso-energetic training, integrating both moderate- and high-intensity aerobic exercises. Our findings indicate that greater variation in training load did not yield cognitive enhancements, although both protocols exhibited positive effects on brain-derived neurotrophic factor (BDNF) levels. Moreover, this study establishes a clear positive association between short-term and working memory and neurotrophic biomarkers. In addition, the independent predictive value of change in insulin-like growth factor-1 (IGF-1) on improvement in short-term and working memory highlight the close relationship between neurotrophic markers and cognition. Consequently, our results advocate for exercise training interventions targeting neurotrophic biomarkers to enhance cognitive function among individuals with coronary artery disease.

Nanoparticle-Based Drug Delivery Systems Enhance Treatment of Cognitive Defects.

Nanoparticle-based drug delivery presents a promising solution in enhancing therapies for neurological diseases, particularly cognitive impairment. These nanoparticles address challenges related to the physicochemical profiles of drugs that hinder their delivery to the central nervous system (CNS). Benefits include improved solubility due to particle size reduction, enhanced drug penetration across the blood-brain barrier (BBB), and sustained release mechanisms suitable for long-term therapy. Successful application of nanoparticle delivery systems requires careful consideration of their characteristics tailored for CNS delivery, encompassing particle size and distribution, surface charge and morphology, loading capacity, and drug release kinetics. Literature review reveals three main types of nanoparticles developed for cognitive function enhancement: polymeric nanoparticles, lipid-based nanoparticles, and metallic or inorganic nanoparticles. Each type and its production methods possess distinct advantages and limitations. Further modifications such as coating agents or ligand conjugation have been explored to enhance their brain cell uptake. Evidence supporting their development shows improved efficacy outcomes, evidenced by enhanced cognitive function assessments, modulation of pro-oxidant markers, and anti-inflammatory activities. Despite these advancements, clinical trials validating the efficacy of nanoparticle systems in treating cognitive defects are lacking. Therefore, these findings underscore the need for researchers to expedite clinical testing to provide robust evidence of the potential of nanoparticle-based drug delivery systems.

Catheter ablation increases cerebral blood flow and cognitive function in elderly patients with atrial fibrillation

Abstract Background Atrial fibrillation (AF) has been considered to have an increased risk for cognitive impairment independent of a stroke and a silent micro-infarction. The mechanism of this interaction is unclear. One of the potential explanations is brain hypoperfusion due to a reduced cardiac output. To date, there are no reports focusing on the cerebral blood flow and cognitive impairment in patients undergoing AF ablation. Purpose The purpose of this study was to investigate whether catheter ablation of AF would increase cerebral blood flow and restore cognitive impairment. Methods AF patients aged 75 years or older with mild or more cognitive impairment were selected. The assessment of cognitive function using Mini-Mental State Examination (MMSE) and Hasegawa's Dementia Scale-Revised (HDS-R), and measurement of cerebral blood flow using 99mTc-ECD SPECT imaging were examined before and 3 months after ablation. Results A total of 25 elderly patients (mean age 83, 14 males and 11 females) were included in this study. Of them, 23 patients had persistent AF. Twenty-three patients (92%) maintained sinus rhythm after ablation. There was a significant improvement in MMSE score (from 24.6±4.5 to 25.9±4.0, p&amp;lt;0.05) and HDS-R (from 23.2±5.5 to 24.8±5.1, p&amp;lt;0.05) after ablation. Cerebral blood flow also significantly increased after ablation (right lobe: from 34.4±4.6 to 38.5±4.4 ml/100g/min, p&amp;lt;0.01, left lobe: from 35.3±9.7 to 38.8±3.7 ml/100g/min, p&amp;lt;0.01). Overall average cerebral blood flow increased by 10.1±9.4% after ablation. There was a positive correlation between the changes in MMSE score and the changes in cerebral blood flow (r=0.65, p&amp;lt;0.05). Conclusion AF ablation in elderly patients increased cerebral blood flow and cognitive function. AF ablation would be one of the therapeutic options to improve cognitive function in elderly patients with cognitive impairment.

Association between platelet-to-high-density lipoprotein cholesterol ratio and cognitive function in older americans: insights from a cross-sectional study

The main aim of this study was to explore the correlation between the platelet/high-density lipoprotein cholesterol ratio (PHR) and cognitive function in elderly individuals from the United States. This investigation leveraged data encompassing 2299 participants, all aged 60 years and above, from the National Health and Nutrition Examination Survey conducted from 2011 to 2014. Inclusion criteria were based on the availability of complete datasets for PHR and cognitive function assessments. The analytical approach incorporated multivariate logistic regression to discern the association between PHR and cognitive function. Additionally, the study employed restricted cubic splines (RCS) to explore potential non-linear relationships and subgroup analyses to identify variations in the observed associations across different demographic and clinical subgroups. In the fully adjusted model, an increment of 10 units in PHR was associated with a decline of 0.014 in cognitive scores (β=-0.014, 95% CI: -0.025, -0.002; P < 0.05). Compared to the lowest quartile, participants in the highest quartile exhibited a 38.4% increased prevalence of cognitive impairment per one-unit increase in PHR (OR = 1.384, 95% CI: 1.012, 1.893; P < 0.05). Subgroup analysis revealed consistent results regarding the relationship between PHR and cognitive impairment across all subgroups. A non-linear relationship between PHR and cognitive impairment was observed using RCS, indicating that an increase in PHR above 111.49 significantly elevated the incidence of cognitive impairment (P < 0.05). Our study demonstrates that a higher PHR is associated with a greater risk of cognitive decline in an older U.S. population, and although further validation is needed, this warrants consideration in clinical assessments and interventions.

Treatment of Post-COVID-19 POTS by inhibiting FcRn: a phase 2 randomized, placebo controlled, double-blind, proof of concept study with efgartigimod

Abstract Background While the underlying pathophysiology is unknown, post–COVID-19 postural orthostatic tachycardia syndrome (POTS) may be related to immune dysfunction and autoimmunity precipitated by SARS-CoV-2 infection. Various autoantibodies, including those targeting G-protein coupled receptors (GPCRs), have been observed in patients with POTS. Binding of these autoantibodies to adrenergic receptors, which are prototypical GPCRs, has been hypothesized to modulate receptor activity, increase sympathetic tone, and cause tachycardia. Moreover, IgG anti-GPCR autoantibodies, acting as partial agonists, are thought to decrease the effect of peripheral vasomotor control, leading to an increased sympathetic response to upright posture that can result in postural tachycardia in the absence of hypotension. Purpose We hypothesize that a reduction in autoantibody levels by efgartigimod, a FcRn-antagonist, will ameliorate the underlying immune-mediated pathogenesis and lead to clinical improvements in patients who developed POTS following COVID-19 infection. We propose a phase II multicenter, randomized, placebo-controlled, double-blind, proof-of-mechanism study initiated to evaluate the safety and efficacy of efgartigimod in adults with post–COVID-19 POTS. Methods Adult patients diagnosed with new-onset of POTS following SARS-CoV-2 infection are eligible for participation in the study. Prior COVID-19 must be confirmed by documentation of historical PCR test, and POTS diagnosis must meet consensus criteria. Study subjects must have moderate to severe autonomic symptoms (COMPASS-31 score ≥ 35 points at screening). Approximately 42 patients will be randomly allocated (2:1) to receive weekly intravenous efgartigimod or placebo for 24 weeks. At the end of the treatment period, participants who complete the study may roll over into an open-label extension (OLE). The co-primary endpoints are change from baseline to week 24 in the COMPASS-31 and Malmo POTS Symptom Score as well as safety and tolerability outcomes. Key secondary endpoints include assessments of disease activity, fatigue, cognitive function, walking capacity and quantitative autonomic testing. Additional exploratory endpoints include intraepidermal small fiber densities (optional), sudomotor innervation (optional) and peripheral blood biomarkers to define histopathological and immune determinants associated with treatment response. Conclusions This phase II study of efgartigimod will evaluate the effect of FcRn inhibition on disease pathology and the potential for therapeutic benefit in patients with post–COVID-19 POTS.

Attention as the dimension that deteriorates first in patients with cognitive impairment after myocardial infarction

Abstract Background Previous publications by our team indicated a high prevalence (approximately 35%) of cognitive impairment (CI) in patients after myocardial infarction (MI). Moreover, we observed that the presence of peri-infarction deficits was not always associated with their occurrence after 6 months of follow-up and vice versa. This was the basis for distinguishing 4 groups of patients: a) group 1 – CI present peri-infarction and after 6 months; b) group 2 – CI present only peri-infarction; c) group 3 – CI present only after 6 months; d) group 4 – no CI during the study. Purpose The aim of the current study is to analyse the type of CI in patients after MI with a focus on its changes within the 4 groups mentioned. Methods The study included 326 patients hospitalised for MI treated by percutaneous coronary intervention. Cognitive function was assessed twice using the Mini–Mental State Examination (MMSE) and the Clock Drawing Test (CDT)-Shulman version during the first hospitalisation (on day 2-3 after MI) and 6 months later. In addition, the occurrence of sleep, aggression and mood disorders was assessed. The constructed research model was analysed with artificial intelligence algorithms. Results Persistent CI (group1) was found in 8.9%, peri-infarct CI (group 2) in 16.3%, and only after 6 months (group 3) in 7.7% of study participants (as assessed by MMSE). Analysis of the cognitive domains showed that in those who improve (group 2) or worsen cognitive function (group 3), analogous changes in attention function occurred, respectively improving in 81% and worsening in 100% of subjects in a given group. It was observed that there is a group of patients with a CI on the MMSE who perform CDT correctly, 12% peri-infarct and 11% at 6-month follow-up, respectively. Patients with a normal CDT score but CIs found in the MMSE have impaired attentional function regardless of the time of assessment. Conclusion CIs can occur both immediately after MI and during subsequent follow-up. However, after 6 months of intensive anti-atherosclerotic treatment (post-MI), cognitive functions improve in some patients, and deteriorate in others. At the same time, the cognitive function that undergoes similar changes in these groups is attention. The uniform type of impaired cognitive function and the lack of specific differences between the 4 groups allow us to assume a uniform etiology of cognitive deficits. Patients with normal CDT and disorders present in MMSE show deficits in attention functions. Performing CDT and using the MMSE component assessing attention function could prove sufficient for the initial assessment of cognitive functions in the population of patients after MI. The results require confirmation in a larger patient population.

Cognitive performance in breast cancer survivors: a ten-year follow-up

Abstract Background Cognitive impairment (CI) has been widely reported as a frequent non-fatal cancer outcome. 15% to 25% of breast cancer (BCa) patients may have CI; however long-term variations of cognitive performance during and after the cessation of the treatments remains unclear. The present study aims to describe the evolution of cognitive performance in BCa survivors that are still in follow-up at breast cancer clinic, 10 years after diagnosis. Methods 506 women with BCa admitted to the Portuguese Institute of Oncology, Porto, in 2012, were evaluated with the Montreal Cognitive Assessment (MoCA) before any treatment, after one, three, five, and ten years. Patients with a MoCA score ≤1.5 standard deviation below the mean of age- and education-specific norms were considered to have probable cognitive impairment (PCI). The 10-year follow up started in October 2022, and is still in progress (as of March, 118 were evaluated). All women that are still being followed at IPO-Porto for consultations and treatments were evaluated with MoCA assessment. Results PCI prevalence at the 10 years was 43.0% (95%Confidence Interval: 34.1%-52.7%). Several pathways for cognitive performance were identified throughout the 10-year follow-up: 58 women (49.2%) never had PCI at baseline assessment or during follow-up; 19 women (16.1%) had PCI at baseline, from whom 5 (4.2%) had PCI in all evaluations, 2 (1.7%) did not have PCI in any follow up evaluation, 2 (1.7%) had PCI during follow up, but not at 10 years and 3 (2.5%) had PCI again only at the 10-year follow-up; 5 women (4.2%) did not have PCI at baseline but had PCI at least once during follow-up but not at 10 years, and 24.6% had PCI for the first time at 10 years. Conclusions The results show a high prevalence of PCI 10 years after diagnosis with a significant part being new cases. These results highlight the need for including regular assessments of cognitive performance as a part of the clinical follow-up of BCa survivors. Key messages • There is a high prevalence of cognitive deficits in breast cancer suvivors 10 years after diagnosis. • Including cognitive evaluations of breast cancer survivors during clinical follow up are recommended.

Qualitative Analysis of Responses in Estimating Older Adults Cognitive Functioning in Spontaneous Speech: Comparison of Questions Asked by AI Agents and Humans.

Artificial Intelligence (AI) technology is gaining attention for its potential in cognitive function assessment and intervention. AI robots and agents can offer continuous dialogue with the elderly, helping to prevent social isolation and support cognitive health. Speech-based evaluation methods are promising as they reduce the burden on elderly participants. AI agents could replace human questioners, offering efficient and consistent assessments. However, existing research lacks sufficient comparisons of elderly speech content when interacting with AI versus human partners, and detailed analyses of factors like cognitive function levels and dialogue partner effects on speech elements such as proper nouns and fillers. This study investigates how elderly individuals' cognitive functions influence their communication patterns with both human and AI conversational partners. A total of 34 older people (12 men and 22 women) living in the community were selected from a silver human resource centre and day service centre in Tokyo. Cognitive function was assessed using the Mini-Mental State Examination (MMSE), and participants engaged in semi-structured daily conversations with both human and AI partners. The study examined the frequency of fillers, proper nouns, and "listen back" in conversations with AI and humans. Results showed that participants used more fillers in human conversations, especially those with lower cognitive function. In contrast, proper nouns were used more in AI conversations, particularly by those with higher cognitive function. Participants also asked for explanations more often in AI conversations, especially those with lower cognitive function. These findings highlight differences in conversation patterns based on cognitive function and the conversation partner being either AI or human. These results suggest that there are differences in conversation patterns depending on the cognitive function of the participants and whether the conversation partner is a human or an AI. This study aims to provide new insights into the effective use of AI agents in dialogue with the elderly, contributing to the improvement of elderly welfare.

The effect of the Bilateral Integration exercise program on the cognitive functioning of pupils with moderate intellectual disabilities.

Children with intellectual disability tend to exhibit lower performance in fundamental movement skills, such as locomotor skills, object control skills, and balance, compared to their typically developing peers. Evidence suggests that physical activity programs tailored for individuals with intellectual disabilities can positively influence the development of their motor skills. Similar to typically developing children, physical activity in children with intellectual disabilities stimulates not only physical development, but also brain function, resulting in cognitive benefits. However, the extent of physical activity's impact on the cognitive functioning of this population remains insufficiently explored. The aim of our study was to assess the effectiveness of a motor exercise program based on the Bilateral Integration method implemented for pupils with moderate intellectual disabilities. The sample consisted of 27 pupils with moderate intellectual disability (13 in the intervention group and 14 in the control group) from two special schools in Poland. Pupils in the intervention group participated in a modified version of the Bilateral Integration School Program -a 26-week physical activity program that included both individual and group sessions. The assessment of cognitive functioning, using the Fifth Edition of the Stanford-Binet Intelligence Subtests, was conducted over three time points in both groups: a pre-test before the intervention (T1), a post-test after the intervention phase end (T2) and a follow-up assessment three months after the post-test (T3). Significant effects of the intervention compared to the control group were observed in certain cognitive variables. Repeated measures ANOVA revealed a significant group-by-time interaction for the Nonverbal Visual-Spatial Processing score, Nonverbal Working Memory score, as well as Verbal Fluid Reasoning. The original program based on the Bilateral Integration method proved effective for pupils with moderate intellectual disability. Preliminary results indicate improvements in cognition, particularly in working memory and visual-spatial processing. Further studies are necessary to assess the program's efficacy comprehensively.

Timing of Alzheimer's disease biomarker progressions: A two-decade observational study from the Alzheimer's Disease Neuroimaging Initiative (ADNI).

Alzheimer's Disease Neuroimaging Initiative (ADNI) has been pivotal in identifying and refining Alzheimer's disease (AD) biomarkers for clinical trials. This study leverages longitudinal data from participants who have progressed to amyloid-positivity during their study participation to track evolution of biomarkers and cognitive function. We modeled AD biomarker (positron emission tomography [PET], structural, cerebrospinal fluid [CSF], cognition) trajectories before and after observed amyloid-positivity onset time to detect time at which each biomarker had detectable trajectory changes. Analysis of a sub-cohort of the 20-year ADNI study (N=90) recapitulated Alzheimer's progression beginning with amyloid alterations -4.8 to -5.3 years relative to amyloid-positivity, succeeded by neurodegeneration (t=-4.0 to -4.1 years), and CSF tau (t=-0.4 to -0.5 years). Cognitive decline was observed to significantly correspond with emergence of amyloid-positivity (t=0.2 to 2.4 years). Our results corroborate temporal progression curves of AD biomarkers, providing insights on earliest detectable changes in objective and subjective cognitive function assessments.

Clinical features of vascular cognitive impairment

Vascular cognitive impairment (VCI) can occur in cerebrovascular disease of varying degree of severity, which requires further investigation.Objective: to identify specific features of attention deficit and executive function (EF) impairment in VCI and to determine the relationship between cognitive, neurological and radiological signs of the disease.Material and methods. The study involved 80 patients (51 with VCI – the main group and 29 healthy volunteers – the control group). All participants underwent clinical and neuropsychological examination and MRI of the brain. VCI was diagnosed according to 2014 VASCOG criteria. The neuropsychological examination included an assessment of the general cognitive function (MoCA test, MMSE); general EF (FAB, EXIT-25); episodic memory (12-word memory test and Benton Visual Retention Test); semantic memory (categorical association method); initiation and productivity of cognitive activity (literal associations); attention [TMT-A, Symbol-Digit Modalities Test (SDMT)]; cognitive flexibility (TMT-B); cognitive control (Stroop test).Results. As a result of the study, three subgroups of patients with VCI were identified: 1) predominantly attention deficit (AD); 2) AD and significant decrease in cognitive flexibility (CFD); 3) AD in combination with a significant cognitive control deficiency (CCD). The TMT-A and SDMT tests were significantly worse in all subgroups of VCI compared to the control group, with the worst SDMT score in subgroup 2. Subgroup 2 also had the longest time to complete the TMT-B test. Subgroup 3 was characterized by the worst Stroop test results, and uncontrolled arterial hypertension was more common in this group. Gait disturbances were significantly more frequent in subgroup 2, and increased reflexes of oral automatism and grasp reflex were observed in subgroup 3. White matter hyperintensity (WMH) was more pronounced in subgroup 2, and lacunar infarcts (LI) were more frequent in subgroup 3. Prevalence of LI and severity of WMH were lowest in subgroup 1.Conclusion. The main features of VCI are attention deficit and EF impairment, characteristics of EF disorders depend on the severity and type of vascular lesions of the brain. Progression of WMH is associated with more pronounced CFD and an increase in the number of LI is associated with CCD. There is a correlation between CFD and gait disturbances and between CCD and lack of primitive reflexes inhibition.

Predictors, Diagnoses, and Costs of Emergency Department Visits among Home Care Clients

ObjectivesTo examine factors, diagnoses, and costs associated with emergency department (ED) visits among home care clients. DesignA prospective 1-year follow-up study. Settings and ParticipantsMore information is needed regarding the reasons and costs associated with ED visits by home care clients. Participants were persons aged ≥65 years living in Eastern Finland and receiving regular home care services (n = 293). MethodsData collection included clients’ demographics, health status (Charlson Comorbidity Index), medication use, assessments of physical (Timed Up and Go) and cognitive functioning (Mini-Mental State Examination), Basic and Instrumental Activities of Daily Living, mood (Geriatric Depression Scale, GDS-15) and health-related quality of life [HRQoL, EuroQol (EQ-5D-3 L)]. Logistic regression and univariate analyses of variance were conducted. The costs (total and per person-year) of ED visits were calculated. ResultsThe number of ED visits was 775 during the follow-up (mean 350 days). The likelihood of ED visits was reduced by better HRQoL and increased by a higher GDS-15 score, longer TUG times, and a history of heart failure and decreased glomerular infiltration. The most common primary diagnoses for ED visits were heart failure (8.4%), atrial fibrillation (4.0%), respiratory infection (4.0%), and cystitis (3.5%). The total costs of all ED visits during the follow-up were 251,247 € and internal medicine and surgery accounted for 142,726 € and 89,212 € of the cost, respectively. The costs per person-year were 981 €. Conclusions and ImplicationsHRQoL, depressive symptoms, mobility, and heart and renal failure were associated with the number of ED visits. The most common reasons for ED visits were chronic heart conditions and infectious diseases and the highest costs were incurred by internal medicine treatment. With advanced care planning and active symptom screening and cooperation of home care nurses and physicians, some of the ED visits, for example due to heart failure, might be preventable.

Clinical, functional and neuropsychological status of joint replacement patients

Introduction The number of hip and knee replacement surgeries is increasing annually in Russia and worldwide. The majority of patients receiving joint arthroplasties are elderly women.The objective was to assess the clinical, functional and neuropsychological status of patients undergoing total knee or hip replacement.Material and methods The study included 448 patients admitted for elective surgery of total knee or hip replacement at the Department of Traumatology and Orthopedics of the Federal Center for High Medical Technologies (CHMT, Kaliningrad Region). Anthropometric parameters of the patients were measured, the medical history and concomitant diseases recorded. Common blood count and biochemistry test were evaluated preoperatively. Neuropsychological examination included assessment of cognitive and executive functions, levels of distress, depression, anxiety and somatization.Results Almost all patients studied were found to have varying degrees of obesity. A typical combination of concomitant pathology in volunteers was stage 2 hypertension, risk degree 2–3, and chronic gastritis in remission. Half of the volunteers showed moderate and high levels of distress, depression, anxiety and somatization. A significant number of volunteers showed moderate to high levels of cognitive decline. Age- and sex-related blood counts were slightly different from the normal ranges for a CBC and biochemistry. Changes in leukocyte count were detected.Discussion Leukocyte counts indicated the osteoarthritis induced inflammatory process in most patients. Mitochondrial dysfunction and aging of the immune system contributed to the “proinflammatory status.” The high rate of cognitive impairment in volunteers was associated with age and comorbidity, cardiovascular conditions, in particular. Distress and anxiety were associated with emotional reactions to surgery.Conclusion The factors reported can affect the duration and course of rehabilitation. The “pro-inflammatory status” of patients can complicate the healing of a postoperative wound. Neuropsychological disorders noted during postoperative rehabilitation can have a significant impact on physical recovery, social and professional adaptation.

Validation and comparison of virtual reality and 3D mobile games for cognitive assessment against ACE-III in 82 young participants

Current medical and clinical ecosystem for dementia detection is inadequate for its early detection. Traditional cognitive assessments are introduced after cognitive impairment has begun to disrupt the real-world functioning of the person. Moreover, these tools are paper-pen based and fail to replicate the real-world situations wherein the person ultimately lives, acts and grows. The lack of tools for early detection of dementia, combined with absence of reliable pharmacological cure compound the problems associated with dementia diagnosis and care. Advancement of technology has facilitated early prediction of disease like cancer, diabetes, heart disease, but hardly any such translation has been observed for dementia or cognitive impairment. Given this background, we examine the potential of Virtual Reality (VR) and 3D Mobile-based goal-oriented games for cognitive assessment. We evaluate three games (2 in VR, one in mobile) among 82 young participants (aged 18–28 years) and compare and contrast the game-based results with their Addenbrooke Cognitive Examination (ACE-III) scores. Three main analysis methods are used: Correlative, Z-score and Regression analysis. Positive correlation was observed for ACE-III and game-based scores. Z-scores analysis revealed no difference between the two scores, and stronger statistical significance was found between game scores and cognitive health factors like age, smoking compared to ACE-III. Specific game performances also revealed about real-world traits of participants, like hand-use confusion and direction confusion. Results establish the plausibility of using goal-oriented games for more granular, time-based, and functional cognitive assessment.