Assessment Of Cognitive Function Research Articles

Shuttle Time for Seniors: The Impact of 8-Week Structured Badminton Training on Markers of Healthy Aging and Evaluation of Lived Experiences-A Quasi-Experimental Study.

Engagement in sport offers the potential for improved physical and psychological well-being and has been shown to be beneficial for promoting healthy aging. Opportunities for older adults to (re)engage with sport are limited by a paucity of age-appropriate introductory sports intervention programs. As such, the study evaluated the efficacy of a newly designed 8-week badminton training program (Shuttle Time for Seniors) on markers of healthy aging and the lived experiences of participation. Forty-three older adults assigned to a control (N = 20) or intervention group (N = 23) completed pre-post assessment of physical and cognitive function, self-efficacy for exercise, and well-being. Focus groups were conducted for program evaluation and to understand barriers and enablers to sustained participation. Those in the intervention group increased upper body strength, aerobic fitness, coincidence anticipation time, and self-efficacy for exercise. Objectively improved physical and cognitive functions were corroborated by perceived benefits indicated in thematic analysis. Shuttle Time for Seniors was perceived as appropriate for the population, where the age-appropriate opportunity to participate with likeminded people of similar ability was a primary motivator to engagement. Despite willingness to continue playing, lack of badminton infrastructure was a primary barrier to continued engagement. Shuttle Time for Seniors offered an important opportunity for older adults to (re)engage with badminton, where the physical and psychosocial benefits of group-based badminton improved facets important to healthy aging. Significance/Implications: Age-appropriate introductory intervention programs provide opportunity for older adults to (re)engage with sport. However, important barriers to long-term engagement need to be addressed from a whole systems perspective.

Immune response and cognitive impairment in Post-COVID Syndrome: A systematic review

BackgroundAltered immune response and cognitive difficulties have been demonstrated in studies of post-COVID syndrome, including differences in immune status and cognitive functioning in the months following infection. This review aimed to examine immune status and cognitive differences in post-COVID Syndrome twelve or more weeks after COVID-19 infection. A further aim of this review was to explore a link between immune response and the cognitive deficits observed in this group. MethodsA systematic review was carried out of PubMed, PsychInfo, EMBASE and Web of Science electronic databases of observational studies 12+ weeks after COVID-19 infection, with assessment of immune status and cognitive function in post-COVID Syndrome samples. This review protocol was recorded on PROSPERO with registration number CRD42022366920. ResultsFollowing eligibility screening, eleven studies met inclusion criteria and were selected for our review. Six of eight studies which examined between group differences in specific domains suggested impaired cognition in the Post COVID Syndrome population, with the domains of executive function particularly affected. Of the eleven studies with immune data, nine studies reported increased markers of inflammation in the Post COVID Syndrome group, when compared to an age and gender matched “healthy control” sample, or population norms. Finally, when immune function and cognition are examined together, six studies presented results indicating a significant association between elevated immune response and cognitive function. ConclusionThis review highlights the frequency of cognitive difficulties months after COVID-19 infection and explores heighted immune response as a predictor of this change. Six studies suggest that immune status is a predictor of cognitive function, examining a marker of immune function and objective cognitive performance at 12 or more weeks following infection. Future studies of cognitive function in Post COVID Syndrome are needed to explore this relationship, and underlying mechanisms leading to changes in cognitive performance.

Contextuality of cognitive control deficits in alcohol dependence — pro et contra

Cognitive impairment, including cognitive control, mediates the negative social consequences of alcohol-related behavior, but few studies have examined these processes in the Russian speaking population using modern and standardized assessment methods. Thus, the aim of the study was to examine the features of cognitive control (inhibition of automatic response) and the general level of cognitive functioning in a Russianspeaking sample of alcohol-dependent individuals (AD) using quantitative assessment methods. Materials and Methods. 111 individuals diagnosed with alcohol dependence (F10.30) and 27 healthy participants were examined by using the Brief Assessment of Cognitive Functioning in Affective Disorders Battery (BAC-A) and additional tests of cognitive control (Stroop test with incongruent stimuli, Stroop test with alcohol-associated stimuli). The statistical methods were U-Mann-Whitney test, Spearman correlation coefficient, two-stage least squares regression. Results. In the AD group the indices of cognitive functioning were significantly lower in all parameters except for the subtests of verbal memory and digit sequence (p<0,05). The model of the relationship between the parameters of general cognitive functioning and cognitive control reveals that the index of incongruence to alcohol-related stimuli was a significant predictor of sampe affiliation. Discussion. The obtained results may indicate the presence of impairments of speed of mental processes, planning , verbal fluency and response inhibition function in the group of individuals with AD. In the studied group, the automatic response inhibition function mediates the general cognitive functioning only within the relevant contextual stimuli.

Research Trends and Usability Challenges in Behavioral Data-Based Cognitive Function Assessment

The prevalence of dementia, a condition associated with high social costs, is rising alongside the aging population. Early diagnosis of mild cognitive impairment (MCI), a precursor to dementia, is essential for effective intervention. Recent research has focused on diagnosing cognitive function in the elderly by analyzing behavioral data, such as gait and hand movements. Compared to traditional neuropsychological assessment methods, behavioral data-based assessments offer advantages, including reduced fatigue for patients and examiners, faster testing procedures, and more objective evaluation of results. This study reviews 15 research projects from the past five years (2018–2023) that have utilized behavioral data to assess cognitive function. It examines the specific gait and hand movement variables used, the technologies implemented, and user experiences reported in these studies. As these types of assessments require new technologies or environments, we analyzed usability issues that should be considered for accurate cognitive assessment. Based on this analysis, the paper proposes future directions for research in the field of behavioral data-based cognitive function assessment.

Prediction and validation of mild cognitive impairment in occupational dust exposure population based on machine learning

ObjectiveWorkers exposed to dust for extended periods may experience varying degrees of cognitive impairment. However, limited research exists on the associated risk factors. This study aims to identify key variables using machine learning algorithms (ML) and develop a model to predict the occurrence of mild cognitive impairment in miners. Methods: A total of 1938 miners were included in the study. Univariate analysis and multivariable logistic regression were employed to identify independent risk factors for cognitive impairment among miners. The dataset was randomly divided into a training set and a validation set in an 8:2 ratio of 1550 and 388 individuals, respectively. An additional group of 351 miners was collected as a test set for cognitive impairment assessment. Seven machine learning algorithms, including XGBoost, Logistic Regression, Random Forest, Complement Naive Bayes, Multi-layer Perceptron, Support Vector Machine, and K-Nearest Neighbors, were used to establish a predictive model for mild cognitive impairment in the dust-exposed population, based on baseline characteristics of the workers. The predictive performance of the models was evaluated using the Area Under the Receiver Operating Characteristic Curve (AUC), and the XGBoost model was further explained using the Shapley Additive exPlanations (SHAP) package. Cognitive function assessments using rank sum tests were conducted to compare differences in cognitive domains between the mild cognitive impairment group and the normal group. Results: Univariate and multivariable logistic regression analyses revealed that education level, Age, Work years, SSRS (Self-Rating Scale for Stress), and HAMA (Hamilton Anxiety Rating Scale) were independent risk factors for cognitive impairment among dust-exposed workers. Comparative analysis of the performance of the seven machine learning algorithms demonstrated that XGBoost (training set: AUC=0.959, validation set: AUC=0.795) and Logistic Regression (training set: AUC=0.818, validation set: AUC=0.816) models exhibited superior predictive performance. Results from the test set showed that the AUC of the XGBoost model (AUC=0.913) outperformed the Logistic Regression model (AUC=0.778). Miners with mild cognitive impairment exhibited significant impairments (p<0.05) in visual-spatial abilities, attention, abstract thinking, and memory areas. Conclusion: Machine learning algorithms can predict the risk of cognitive impairment in this population, with the XGBoost algorithm showing the best performance. The developed model can guide the implementation of appropriate preventive measures for dust-exposed workers.

Design, Development, and Validation of a Military Orientated Re-configurable Cognitive Task Battery

The United Kingdom’s Defence Science and Technology Laboratory (Dstl) has developed an innovative military cognitive task battery tool titled: Interactive Measures of Performance and Assessment of Cognitive Tasks (IMPACT). The purpose of the tool is to support the objective assessment of cognitive task performance and task demand across a range of military system types, use cases and experimental settings. IMPACT consists of six, reconfigurable, generic military tasks, and an intuitive user interface for the experimenter to configure the tool and collect data. Initial validation of the IMPACT tool has been undertaken and a number of early adopters have used the tool to support trials, system development and experimentation. The validation results show that the six individual IMPACT tasks broadly stimulate the associated cognitive attributes; as mapped and originally conceived during the design and development of the tool; as measured by subjective assessment techniques, psychophysiological monitoring, and performance measures. IMPACT continues to be refined in response to feedback from the validation exercise and early adopters of the tool.

Interactive effect of air pollution and genetic risk of depression on processing speed by resting-state functional connectivity of occipitoparietal network

BackgroundAir pollution, a reversible environmental factor, was significantly associated with the cognitive domains that are impaired in major depressive disorder (MDD), notably processing speed. Limited evidence explores the interactive effect of air pollution and the genetic risk of depression on cognition. This cross-sectional study aims to extend the research by specifically examining how this interaction influences depression-related cognitive impairment and resting-state brain function.MethodsEligible participants were 497 healthy adult volunteers (48.7% males, mean age 24.5) living in Beijing for at least 1 year and exposed to relatively high air pollution from the local community controlling for socioeconomic and genomic. Six months’ ambient air pollution exposures were assessed based on residential addresses using monthly averages of fine particulate matter with a diameter of less than or equal to 2.5 μm (PM2.5). A cross-sectional analysis was conducted using functional magnetic resonance imaging (fMRI) and cognitive performance assessments. The polygenic risk score (PRS) of MDD was used to estimate genetic susceptibility.ResultsUsing a general linear model and partial least square regression, we observed a negative association between resting-state local connectivity in precuneus and PRS-by-PM2.5 interactive effect (PFWE = 0.028), indicating that PM2.5 exposure reduced the spontaneous activity in precuneus in individuals at high genetic risk for MDD. DNA methylation and gene expression of the SLC30A3 gene, responsible for maintaining zinc-glutamate homeostasis, was suggestively associated with this local connectivity. For the global functional connectivity, the polygenic risk for MDD augmented the neural impact of PM2.5 exposure, especially in the frontal-parietal and frontal-limbic regions of the default mode network (PFDR < 0.05). In those genetically predisposed to MDD, increased PM2.5 exposure positively correlated with resting-state functional connectivity between the left angular gyrus and left cuneus gyrus. This connectivity was negatively associated with processing speed.ConclusionsOur cross-sectional study suggests that air pollution may be associated with an increased likelihood of cognitive impairment in individuals genetically predisposed to depression, potentially through alterations in the resting-state function of the occipitoparietal and default mode network.

Estimation of the Cognitive Functioning of the Elderly by AI Agents: A Comparative Analysis of the Effects of the Psychological Burden of Intervention.

In recent years, an increasing number of studies have begun to use conversational data in spontaneous speech to estimate cognitive function in older people. The targets of spontaneous speech with older people used to be physicians and licensed psychologists, but it is now possible to have conversations with fully automatic AI agents. However, it has not yet been clarified what difference there is in conversational communication with older people when the examiner is a human or an AI agent. This study explored the psychological burden experienced by elderly participants during cognitive function assessments, comparing interactions with human and AI conversational partners. Thirty-four participants, averaging 78.71 years of age, were evaluated using the Mini-Mental State Examination (MMSE), the Visual Analogue Scale (VAS), and the State-Trait Anxiety Inventory (STAI). The objective was to assess the psychological impact of different conversational formats on the participants. The results indicated that the mental strain, as measured by VAS and STAI scores, was significantly higher during the MMSE sessions compared to other conversational interactions (p < 0.01). Notably, there was no significant difference in the mental burden between conversations with humans and AI agents, suggesting that AI-based systems could be as effective as human interaction in cognitive assessments.

Training Needs Analysis for Medical Students in Assessing Cognitive Functioning: An Observational Study

Backgrounds: Research shows that medical students’ knowledge and skills concerning the assessment of cognition in various neuropsychiatric conditions (e.g., Alzheimer’s disease and schizophrenia) are unsatisfactory. This research aims to conduct a training needs analysis (TNA) for medical students to identify and refer patients with neuropsychiatric conditions. Methods: The study comprised two phases. First, developing a TNA toolkit to assess training needs in clinical tasks related to cognitive function assessment (by adopting the Hennessy–Hicks TNA toolkit); and second, through a self-reported survey, their training needs in cognitive function assessment were assessed. Data analysis involved calculating training gaps, importance scores, performance scores, training scores, and organization scores for various clinical tasks-stratified participants’ study year; for training needs and trends, factor analysis and post-hoc analyses were conducted. Results: A total of 153 medical students from a tertiary care center participated in the survey. The participants rated their performance lower than the perceived importance of tasks, indicating a need for improvement in all competencies ( P &lt; .01). Pre–final-year students had the highest training needs, particularly in accessing literature, planning, and organizing care for patients with cognitive impairment, performing mental status examination, screening patients for cognitive deficits, and counseling them/caregivers about interventions ( P &lt; .01). Factor analysis identified a single dominant factor, suggesting a correlation among these skills. Conclusion: Pre–final-year students require targeted training, whereas students beyond this stage can benefit from special training modules and awareness of available resources for cognitive assessment. The findings also suggest the importance of a hybrid approach involving training and organizational modifications.

Neuroinflammatory Biomarkers and Their Associations With Cognitive, Affective, and Functional Outcomes 3 to 12 Months After a Traumatic Brain Injury: A Pilot Study.

Neuroinflammation is an important feature of traumatic brain injury (TBI) that remains poorly understood in the 3- to 12-month period post-TBI. The purpose of our pilot study was to examine the relationships between biomarkers of neuroinflammation and functional outcomes in TBI patients 3 to 12months postinjury. TBI patients (n =36) 3 to 12months post-TBI were recruited from a South Florida TBI clinic from May 2022 to June 2023. The Disability Rating Scale, Satisfaction with Life Scale, NIH Toolbox Sorting Working Memory, Neuro-Quality of Life Cognitive Function, Anxiety, Depression, and Sleep assessments were performed. Multiple plasma biomarkers were assayed. Analysis of variance was used to compare between-group results. Linear regression was performed to analyze relationships between biomarkers and outcomes. Brain-derived neurotrophic factor concentrations were higher as postinjury time interval increased and were associated with cognitive battery outcomes. S-100β and glial fibrillary acidic protein were associated with anxiety score and hospital length of stay; S-100β was also associated with depression. Interleukin 6 was associated with cognitive function score and time since injury. We found S-100β, glial fibrillary acidic protein, Interleukin 6, and brain-derived neurotrophic factor to play a larger role in the TBI recovery period than other biomarkers examined. Clinicians should continue to monitor for symptoms post-TBI, as the neuroinflammatory process continues to persist even into the later rehabilitation stage.

Analysis of Characteristics of Health Status Based on Assessment of Cognitive Function in the Elderly in Indonesia

Introduction: Various challenges will arise due to the increase in elderly people yearly. In Indonesia, the effect of the demographic transition can be seen in the low birth and death rates, and the rise in life expectancy is indirectly the way to increase the number of the elderly; from sharing the problems that arise among the elderly, one of the things that need to be concerned is how to maintain cognitive function so that the elderly can maintain their health status. Objectives: to determine the relationship between characteristics and the health status of the elderly based on the results of cognitive function assessment. Methods: This study is a type of observational analytical research using a cross-sectional study design and was carried out in Gowa Regency, South Sulawesi Province, Indonesia, from August to December 2023, involving 64 older adults with the criteria of elderly people who are 60-75 years old, do not have mental disorders and can read and write. Cognitive function uses the Montreal Cognitive Assessment Indonesia version (MoCA-Ina) and is a variable to be analyzed. Results: There was a significant relationship between sex p&lt;0.030, age p&lt;0.027, education level p&lt;0.001, occupation p&lt;0.045, prayer activity p&lt;0.001 with cognitive function, while marital status was not related to cognitive function p&gt;0.193. Conclusion: The characteristics of the elderly in this study are related to health status based on the value of cognitive function in the elderly.

Ketone monoester attenuates oxygen desaturation during weighted ruck exercise under acute hypoxic exposure but does not impact cognitive performance.

Acute ingestion of exogenous ketone supplements in the form of a (R)-3-hydroxybutyl (R)-3-hydroxybutyrate (R-BD R-βHB) ketone monoester (KME) can attenuate declines in oxygen availability during hypoxic exposure and might impact cognitive performance at rest and in response to moderate-intensity exercise. In a single-blind randomized crossover design, 16 males performed assessments of cognitive performance before and during hypoxic exposure with moderate exercise [2×20min weighted ruck (∼22kg) at 3.2km/h at 10% incline] in a normobaric altitude chamber (4572m, 11.8% O2). The R-BD R-βHB KME (573mg/kg) or a calorie- and taste-matched placebo (∼50g maltodextrin) were co-ingested with 40g of dextrose before exposure to hypoxia. The R-βHB concentrations were rapidly elevated and sustained (>3mM; P<0.001) by KME. The decline in oxygen saturation during hypoxic exposure was attenuated in KME conditions by 2.4%-4.2% (P<0.05) compared with placebo. Outcomes of cognitive performance tasks, in the form of the Defense Automated Neurobehavioral Assessment (DANA) code substitution task, the Stroop color and word task, and a shooting simulation, did not differ between trials before and during hypoxic exposure. These data suggest that the acute exogenous ketosis induced by KME ingestion can attenuate declining blood oxygen saturation during acute hypoxic exposure both at rest and during moderate-intensity exercise, but this did not translate into differences in cognitive performance before or after exercise in the conditions investigated. HIGHLIGHTS: What is the central question of this study? Can exogenous ketosis act as a countermeasure to declines in blood oxygen saturation and cognitive performance during acute hypoxic exposure while performing a weighted ruck exercise? What is the main finding and its importance? Acute exogenous ketosis via ingestion of a drink containing the (R)-3-hydroxybutyl (R)-3-hydroxybutyrate ketone monoester prior to acute hypoxic exposure attenuated hypoxia-induced declines in blood oxygen saturation but had no effect on cognitive performance during exercise.

Randomised controlled decentralised feasibility trial of a fixed low-dose combination antihypertensive drug strategy to attenuate cognitive decline in high-risk adults

ObjectivesThe Action To promote brain HEalth iN Adults study aimed to determine the feasibility and applicability of recruitment using home blood pressure (BP) monitoring, routine blood biochemistry and videoconference measures...

Challenges in Daily Computerized Assessment of Cognitive Functions of Post-COVID Patients.

While it would be quite helpful to learn more about the daily fluctuations of fatigue and cognitive impairments of post-COVID patients, their condition can make investigating these especially challenging. By discussing these issues with post-COVID patients and clinical practitioners, we identified six challenges that specifically apply to daily computerized assessment of cognitive functions of post-COVID patients. We proposed solutions for each of the challenges which can be summarized as offering a carefully planned and flexible study design to participants and monitoring their well-being throughout the assessments. We argue that when the proposed precautions are taken, it is feasible to conduct a study that will generate valuable insights into the trajectories of (cognitive) post-COVID symptoms.

Do early‐treated adults with phenylketonuria sense high phenylalanine levels?

AbstractThis study aimed to analyze whether early‐treated adults with phenylketonuria (PKU) can subjectively sense high phenylalanine (Phe) concentrations and whether a possible impact of Phe on objective measures of cognitive performance and mood reflects patients' self‐perception. Data from the PICO study, a randomized, placebo‐controlled, double‐blind, crossover trial, were analyzed. Twenty‐eight adults with PKU received either Phe capsules or placebo in two 4‐week intervention periods in a randomized order, with a 4‐week washout in between. The median Phe level increased from 852 μmol/L (interquartile range: 345) to 1455 μmol/L (interquartile range: 369). Neuropsychological assessments were performed at four study visits. At the end of the last study visit, patients were asked whether they could discern the Phe intervention period. Seven of 28 (25%) patients stated that they could not discern between the Phe and the placebo period. Twenty‐one of 28 (75%) patients subjectively thought to sense high Phe levels. Of the 21 patients, 12 (57%) correctly identified the Phe period, whereas 9 (43%) received placebo at the time when they thought they would receive the high Phe load. Binomial tests showed that the probability of 12 out of 21 is p = 0.140, and 12 out of 28 is p = 0.113. The “Right‐Guess” group showed significantly higher Phe changes than the “Wrong‐Guess” group. Cognitive performance and standardized mood assessment did not significantly differ, and both groups reported similar subjective negative impact on cognition and mood. In conclusion, adults with early‐treated PKU cannot effectively identify high Phe levels, although some individuals may be able to perceive more pronounced increases in Phe levels.

The Dual Task Ball Balancing Test and Its Association With Cognitive Function: Algorithm Development and Validation.

Dual task paradigms are thought to offer a quantitative means to assess cognitive reserve and the brain's capacity to allocate resources in the face of competing cognitive demands. The most common dual task paradigms examine the interplay between gait or balance control and cognitive function. However, gait and balance tasks can be physically challenging for older adults and may pose a risk of falls. We introduce a novel, digital dual-task assessment that combines a motor-control task (the "ball balancing" test), which challenges an individual to maintain a virtual ball within a designated zone, with a concurrent cognitive task (the backward digit span task [BDST]). The task was administered on a touchscreen tablet, performance was measured using the inertial sensors embedded in the tablet, conducted under both single- and dual-task conditions. The clinical use of the task was evaluated on a sample of 375 older adult participants (n=210 female; aged 73.0, SD 6.5 years). All older adults, including those with mild cognitive impairment (MCI) and Alzheimer disease-related dementia (ADRD), and those with poor balance and gait problems due to diabetes, osteoarthritis, peripheral neuropathy, and other causes, were able to complete the task comfortably and safely while seated. As expected, task performance significantly decreased under dual task conditions compared to single task conditions. We show that performance was significantly associated with cognitive impairment; significant differences were found among healthy participants, those with MCI, and those with ADRD. Task results were significantly associated with functional impairment, independent of diagnosis, degree of cognitive impairment (as indicated by the Mini Mental State Examination [MMSE] score), and age. Finally, we found that cognitive status could be classified with >70% accuracy using a range of classifier models trained on 3 different cognitive function outcome variables (consensus clinical judgment, Rey Auditory Verbal Learning Test [RAVLT], and MMSE). Our results suggest that the dual task ball balancing test could be used as a digital cognitive assessment of cognitive reserve. The portability, simplicity, and intuitiveness of the task suggest that it may be suitable for unsupervised home assessment of cognitive function.

The Association of Cerebral Autoregulation Dysfunction and Postoperative Memory Impairment in Cardiac Surgery Patients.

Background and Objectives: Cardiac surgery is associated with various durations of cerebral autoregulation (CA) impairment and can significantly impact cognitive function. Cognitive functions such as memory, psychomotor speed, and attention are significantly impacted after cardiac surgery, necessitating prioritization of these areas in cognitive function tests. There is a lack of research connecting cerebral autoregulation impairment to specific cognitive function domains after cardiac surgery. This study aimed to determine if impaired cerebral autoregulation is associated with postoperative memory impairment and to test the hypothesis that the duration of this impairment affects the development of postoperative memory issues. Materials and Methods: A prospective study was conducted in 2021-2023. After approval of the Ethics Committee and with patient's written consent, 83 adult patients undergoing elective on-pump coronary artery bypass graft (CABG) surgery were enrolled. All patients were assessed for cognitive function 1 day before surgery using the Mini-Mental state examination (MMSE-2) test as a screening tool and the Hopkins Verbal Learning Test-Revised (HVLT-R) to assess memory specifically. To diagnose possible memory impairment (IM), all patients underwent a repeat assessment of cognitive function on the 7th-10th postoperative day. Cerebral autoregulation monitoring using transcranial Doppler was performed. Cerebral autoregulation status index (Mx) was recorded using Intensive Care Brain Monitoring System software, 9.1.5.23 (Cambridge, UK). Results: According to our research, the incidence of postoperative memory impairment is 30.1%. Temporary cerebral autoregulation impairment occurs in all patients undergoing elective in-pump CABG surgery. The duration of the single longest CA impairment event in seconds (LCAI) and the LCAI dose were higher in patients with postoperative memory impairment, p = 0.006 and p < 0.007, respectively. Conclusions: Cerebral autoregulation impairment is important in developing memory loss after cardiac surgery. The duration and dose of the LCAI event are predictive of postoperative memory impairment.

Tau pathology mediated the plasma biomarkers and cognitive function in patients with mild cognitive impairment

Glial fibrillary acidic protein (GFAP) and neurofilament light (NfL) are putative non-amyloid biomarkers indicative of ongoing inflammatory and neurodegenerative disease processes. Hence, this study aimed to demonstrate the relationship between plasma biomarkers (GFAP and NfL) and 18F-AV-1451 tau PET images, and to explore their effects on cognitive function. Ninety-one participants from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database and 20 participants from the Shanghai Action of Prevention Dementia for the Elderly (SHAPE) cohort underwent plasma biomarker testing, 18F-AV-1451 tau PET scans and cognitive function assessments. Within the ADNI, there were 42 cognitively normal (CN) individuals and 49 with mild cognitive impairment (MCI). Similarly, in the SHAPE, we had 10 CN and 10 MCI participants. We calculated the standardized uptake value ratios (SUVRs) for the regions of interest (ROIs) in the 18F-AV-1451 PET scans. Using plasma biomarkers and regional SUVRs, we trained machine learning models to differentiate between MCI and CN subjects with ADNI database and validated in SHAPE.Results showed that eight selected variables (including left amygdala SUVR, right amygdala SUVR, left entorhinal cortex SUVR, age, education, plasma NfL, plasma GFAP, plasma GFAP/ NfL) identified by LASSO could differentiate between the MCI and CN individuals, with AUC ranging from 0.783 to 0.926. Additionally, cognitive function was negatively associated with the plasma biomarkers and tau deposition in amygdala and left entorhinal cortex. Increased tau deposition in amygdala and left entorhinal cortex were related to increased plasma biomarkers. Moreover, tau pathology mediated the effect of plasma biomarkers level on the cognitive decline. The present study provides valuable insights into the association among plasma markers (GFAP and NfL), regional tau deposition and cognitive function. This study reports the mediation effect of brain regions tau deposition on the plasma biomarkers level and cognitive function, indicating the significance of tau pathology in the MCI patients.

Mental health problems raise the odds of cognitive impairment in COVID-19 survivors.

COVID-19 survivors around the globe are suffering from mental health issues. While mental health problems can be an early warning sign of dementia, they may also increase the chances of developing the disease. In this study, we examined the mental health of COVID-19 survivors and mapped its associations with cognitive and demographic variables. COVID-19 survivors listed in the databases of three tertiary care hospitals in Kolkata were contacted sequentially. 376 willing patients were interviewed over the telephone. 99 COVID-19 patients and 31 matched controls participated in the in-person interviews that were arranged for a more detailed investigation. The participants were administered standardized tests that are widely used for the assessment of cognitive functioning and mental health status. 64.89% of COVID-19 survivors reported a deterioration in physical functioning. 44.95% reported a decline in mental health, whereas 41.49% reported a drop in cognitive performance. Detailed investigations revealed that they had an increased risk of having depression, anxiety, and poor sleep quality by 91%, 68%, and 140%, respectively. 6.1% of the patients had mild cognitive impairment, and 4% had dementia. COVID-19 patients who had depression and anxiety were 8.6 and 19.4 times more likely to have cognitive decline, respectively. Compared to the matched controls, COVID-19 patients had greater depression (p<.001), anxiety (p<.001), stress (p =.003), and insomnia (p <.001). They also scored significantly lower on Addenbrooke's Cognitive Examination-III (p =.009) and Picture Naming Test (p =.005) and took significantly longer to complete Trail Making Test-A (p =.002). COVID-19 survivors in this study had major mental health issues even one year after contracting the virus. They had significant cognitive deficits that might progress into dementia. Strict monitoring and systematic treatment plans should be implemented as soon as possible.

The impact of cognitive impairment on patient activation and their value in self-management among COPD patients

ObjectivesTo examine the impact of the interaction between cognitive function and patient activation on self-management behaviors among COPD patients. MethodsWe conducted a study of 331 COPD patients. Cognitive function and patient activation were evaluated at baseline, relevant information on social demography and diseases was collected simultaneously. The primary outcome was self-management behaviors. We performed a multiple logistic regression analysis to evaluate the interaction between cognitive function and patient activation. ResultsWe found the interaction between mild cognitive impairment (MCI) and low patient activation on poor self-management behaviors was multiplicative. The proportion of participants with high patient activation was lower than those with low patient activation among patients with MCI. The incidence of poor self-management behaviors in patients with normal cognition differed significantly between participants with different activation levels (90.2 % vs.31.3 % vs.9.7 %). However, the difference was small in those with MCI (94 % vs. 73.5 % vs. 84.5). Notably, poor self-management behaviors were high among patients with MCI, regardless of their activation level. ConclusionsPatients with COPD are more likely to have poor self-management behaviors when MCI and low patient activation coexist, and it was difficult to be activated for patients with MCI. Practice implicationsThe assessment of cognitive function is crucial for patients with COPD, especially those with low activation.