Normal Cognitive Function Research Articles

Sex and race differences in the association of albumin with cognitive function in older adults.

With the increasing aging population, dementia has become a significant socioeconomic burden. However, the effects of albumin on delayed recall (DR) impairment remain unclear, and there are limited reports on sex and race differences in this relationship. This study aimed to investigate the association between albumin levels and DR impairment in older adults. A total of 1507 normal cognitive function and 553 DR impairment from the National Health and Nutrition Examination Survey (NHANES) 2011-2014 were included in this cross-sectional analysis. Participants aged 60 years and above were assessed using the Consortium to Establish a Registry for Alzheimer's Disease DR (CERAD-DR) test to evaluate cognitive function. Participants were categorized into DR impairment and normal cognitive function groups according to their CERAD-DR scores. Logistic regression analyses, generalized additive models, and fitted smoothing curves were utilized for data analysis. After adjusting for potential confounders, a negative association was found between albumin levels and cognitive function (odds ratio [OR]=0.60, 95% confidence interval [CI] 0.41-0.87). Subgroup analysis stratified by sex, race/ethnicity, and age revealed that the negative association remained significant in men (OR=0.53, 95%CI 032-0.87), Blacks (OR=0.35, 95%CI 0.17-0.74), and the age group of 60-70 years (OR=0.48, 95%CI 0.28-0.81). However, no significant association was observed in women (OR=0.72, 95%CI 0.41-1.28), whites (OR=0.58, 95%CI 0.31-1.07), or Mexican Americans (OR=1.11, 95%CI 0.35-3.46), as well as the age group of 71-80 years (OR=0.62, 95%CI 0.37-1.03). Our study suggests that elevated albumin levels are associated with a decreased incidence of cognitive function impairment, particularly in older men and Blacks. This finding indicates that maintaining high levels of albumin may be beneficial for cognitive function in older adults.

Association of adherence to the Chinese version of the MIND diet with reduced cognitive decline in older Chinese individuals: Analysis of the Chinese Longitudinal Healthy Longevity Survey.

Current evidence suggests that the Mediterranean-Dietary Approaches to Stop Hypertension (DASH) diet intervention for Neurodegenerative Delay (MIND) is associated with a reduced risk of cognitive impairment among North American and Oceanian populations. However, there has been limited exploration of whether this association extends to the Asian population. This study aimed to assess the correlation between the Chinese version of the MIND (cMIND) diet and cognitive impairment in older Chinese individuals. We utilized data from the 2008 wave of the Chinese Longitudinal Healthy Longevity Survey. Participants aged ≥65 years with normal cognitive function at baseline were enrolled. The cMIND diet score (cMINDDS) was calculated by assessing dietary patterns based on survey responses. The Chinese version of the Mini-Mental State Examination (MMSE) was employed to diagnose cognitive impairment in participants. We stratified the analysis by cMINDDS and conducted additional sensitivity analyses. The cohort consisted of 6411 participants. Over a 3-year follow-up, 1165 (18.6%) individuals who initially had normal cognitive function developed cognitive impairment. A linear association was observed between cMINDDS and cognitive impairment. The increased cMINDDS was associated with a reduced risk of cognitive impairment (quartile 1 vs. quartile 4: the adjusted odds ratio [OR] = 0.77, 95% confidence interval [CI]: [0.60, 0.97], p trend = 0.023). Regarding food composition, higher consumption of fresh fruits and nuts was associated with a decreased risk of cognitive impairment (OR = 0.77, 95% CI: [0.66, 0.89] and OR = 0.70, 95% CI [0.58, 0.86], respectively). Adherence to the cMIND diet was associated with lower risks of cognitive impairment in older Chinese individuals. The cMIND diet, based on the MIND dietary pattern, could serve as a preventive measure against cognitive impairment.

Prevalence, cognitive characteristics, and influencing factors of amnestic mild cognitive impairment among older adults residing in an urban community in Chengdu, China.

Dementia is a significant public health concern, and mild cognitive impairment (MCI) serves as a transitional stage between normal aging and dementia. Among the various types of MCI, amnestic MCI (aMCI) has been identified as having a higher likelihood of progressing to Alzheimer's dimension. However, limited research has been conducted on the prevalence of aMCI in China. Therefore, the objective of this study is to investigate the prevalence of aMCI, examine its cognitive characteristics, and identify associated risk factors. In this cross-sectional study, we investigated a sample of 368 older adults aged 60 years and above in the urban communities of Chengdu, China. The participants underwent a battery of neuropsychological assessments, including the Mini-Mental State Examination (MMSE), the Clinical Dementia Rating (CDR), Auditory Verbal Learning Test (AVLT), Wechsler's Logical Memory Task (LMT), Boston Naming Test (BNT) and Trail Making Test Part A (TMT-A). Social information was collected by standard questionnaire. Multiple logistic regression analysis was utilized to screen for the risk and protective factors of aMCI. The data analysis included 309 subjects with normal cognitive function and 59 with aMCI, resulting in a prevalence of 16.0% for aMCI. The average age of participants was 69.06 ± 7.30 years, with 56.0% being females. After controlling for age, gender and education, the Spearman partial correlation coefficient between various cognitive assessments and aMCI ranged from -0.52 for the long-term delayed recall scores in AVLT to 0.19 for the time-usage scores in TMT-A. The results indicated that all cognitive domains, except for naming scores (after semantic cue of BNT) and error quantity (in TMT-A), showed statistically significant associations with aMCI. Furthermore, the multiple logistic regression analysis revealed that older age (OR = 1.044, 95%CI: 1.002~1.087), lower educational level, and diabetes (OR = 2.450, 95%CI: 1.246~4.818) were risk factors of aMCI. This study found a high prevalence of aMCI among older adults in Chengdu, China. Individuals with aMCI exhibited lower cognitive function in memory, language, and executive domains, with long-term delayed recall showing the strongest association. Clinicians should prioritize individuals with verbal learning and memory difficulties, especially long-term delayed recall, in clinical practice.

Differences In The Effectiveness Of Brain Exercises And Beapreation Therapy On Cognitive Function In Elderly In Bujel Village Kediri City In 2023

Elderly or old age is the final stage in the human life cycle. Those in this age range will begin to experience degenerative decline in all body systems, one of which is cognitive function. Serious treatment efforts are needed to maintain cognitive function in the elderly in society. One way is by applying complementary therapy. One of them is by applying behavioral therapy and brain exercises. Both of these therapies are able to improve the brain for calculus, memory, concentration etc. This research aims to find out the differences between brain exercises and behavioral therapy on cognitive function in the elderly in the Bujel sub-district, Kediri City in 2023. The population in this study is 45 elderly people in the Bujel sub-district. The sample in the study was 25 people in group 1 with behavioral therapy treatment and 20 people in group 2 with brain exercises using the sampling method using the total population. The research design used was pre-experiment with a two group pre-posttest and post-posttest method. The instrument used is the Mini Mental State Examination (MMSE). Bivariate analysis uses the Wilcoxon and Mann Whitney tests. The results of the research. The statistics obtained are: in group 1: p 0.00 < 0.05. There is an influence of beapreasi therapy on cognitive function in the elderly in Bujel sub-district, Kediri City in 2023. Before carrying out beapreasi therapy, most respondents experienced a mild decline in cognitive function. Meanwhile, after undergoing behavioral therapy, the majority of respondents had normal cognitive function. In group 2, the Pv value was obtained: 0.005 so that Pv<a concluded that there was an influence of brain exercise on cognitive function in the elderly. After comparing the results in the two groups, the value Pv: 0.000 was obtained, it was concluded that Pv <a. There are differences in the effect of the two therapies on cognitive function in the elderly. Appreciation therapy is better at improving cognitive function in the elderly compared to brain exercises, although the difference is very minimal. These two therapies are able to improve brain function by providing proper exercise and oxygenation patterns to the brain. It is hoped that brain exercises and behavioral therapy can be carried out regularly by elderly people in the community.

Comparison of pain during heel prick in preterm neonates receiving only expressed breast milk and expressed breast milk with kangaroo mother care

Background: Newborns' heels are sampled for blood, which is crucial in the identification of genetic and metabolic illnesses. Repeated painful stimulation impairs the future development of their normal motor and cognitive functions. Hence it is necessary to find out suitable remedy to alleviate the pain. The aim of this study was to observe the premature newborns' response to pain (Heel prick) by giving either single (EBM) or combined (EBM and KMC). Methods: The analytical cross-sectional study was conducted in NICU of SMIMER. hospital, Surat from March 2022 to February 2023. The study included 56 premature newborns, divided into three groups. Group A received only EBM, Group B received EBM and KMC (15 minutes), and Group C received EBM and KMC (30 minutes) before the heal prick. The pain was assessed by PIPP score in all three groups at the end of 30,60 and 120 seconds after the procedure. Data were analyzed using SPSS 24 and a one-way ANOVA test was applied. Results: The PIPP score after 60 seconds between Group A with B and A with C was statistically significant (p<0.05) whereas Group B with C was insignificant (p>0.05). The score after 60 seconds between Group A with B and A with C was statistically significant (p<0.05) whereas Group B with C was insignificant (p>0.05). Conclusions: EBM with KMC (15 minutes) duration had an effective impact on pain relief as compared to EBM with KMC (30 minutes) duration at the interval of 60 seconds.

Cognitive Performance of the Elderly People in an Urban Area of Bangladesh: A Sociodemographic Study

A cross-sectional, analytical study was conducted to see the sociodemographic characteristics of elderly people and their association with cognitive performance in an urban setting in Dhaka, Bangladesh, between January and December of 2016. A convenient sampling technique was adopted. A total of 189 elderly people (118 male and 71 female) were included in the study. A semi structured questionnaire was first developed in English and then translated into Bangla. The questionnaire contains questions related to sociodemographic characteristics of the respondents and their cognitive functions, as determined by using Mini Mental state Examination (MMSE). Sociodemographic data were analyzed with descriptive statistics. Pearson correlation test was applied to determine the relationship between quantitative variables, while Chi-square test was done to assess association of qualitative data. The age of the respondents ranged from 60 to 90 years. The mean age was 67.8±6.26 years. Higher proportion of male (37.3%) and female respondents (36.6%) were in 60-64 age group, while the lower proportion was in ≥75 years age group (male 12.7% and female 14.1%). Most of the male respondents were graduate and above education group (64.4%), while most female respondents belonged to SSC and below and informal education group (50.7%) group. The rest of them fell into HSC education group: 11% and 32.4% respectively. Most of the elderlies (57.67%) belonged to the extended family and the rest lived in the nuclear family (42.33%). Among the male respondents, 76.3% were retired. Rest of the respondents was service holder (9.3%), businessman (12.7%) and teacher (1.7%). Female respondents were mostly housewives (97.2%) and two were teachers (2.8%). Among 189 respondents, 35.4% had normal cognitive function. Half of the respondents (52.4%) had mild cognitive impairment and the rest had moderate cognitive impairment (12.2%). None had severe cognitive impairment. Significant relationships of the cognitive performance were observed with age, sex, marital status, educational status, and type of family they lived in. However, no significant association was found between occupation and cognitive performance. CBMJ 2024 January: vol. 13 no. 01 P: 9-16

Regional differences in the effects of healthy aging on depressive symptoms: a Korean longitudinal study of aging (2006-2020).

Depression is a widely prevalent, often recurrent condition. To analyze the regional differences in depressive symptoms over time, we investigated urban-rural differences in change in depression over time in South Korea and the association between healthy aging and depressive symptoms among middle-aged and older adults. Data collected in the Korean Longitudinal Study of Aging, from 2006 to 2020, of adult participants aged ≥45 years without depressive symptoms were analyzed. Healthy aging was defined under five principal components: absence of chronic disease, good physical function, normal cognitive function, active social engagement, and good psychological adaptation. Depressive symptoms were measured using the short version of the Center for Epidemiologic Studies Depression Scale. Using the Andersen-Gill model for recurrent time-to-event, we examined the effect of healthy aging on depressive symptoms, with a subgroup analysis based on the residential area. Of the 7,708 participants, 78.2% lived in urban areas and 39.4% achieved healthy aging. In 2008, rural residents had a higher incidence of depressive symptoms (rural 11.8%; urban 8.9%); however, after 2016, the depressive symptoms of urban residents gradually increased (rural 6.4%; urban 12.1%). Unhealthy aging (adjusted hazard ratio = 3.04, 95% confidence interval: 2.72-3.39) and urban residence (adjusted hazard ratio = 1.15, 95% confidence interval: 1.06-1.24) were risk factors for depressive symptoms. The subgroup analysis revealed that individuals who did not achieve healthy aging had an increased risk of depressive symptoms, regardless of their residential area (hazard ratio [95% confidence interval]: urban, 3.13 [2.75-3.55]; rural 2.59 [2.05-3.28]). As urbanization accelerates, urban residents have a higher risk of depressive symptoms than rural residents. Healthy aging is an essential factor in reducing depressive symptoms. To achieve healthy aging, appropriate interventions and policies that target the middle-aged adults and gradually extend to older adults are needed, considering individual and regional factors.

Does cognitive impairment moderate the relationship between social isolation and anxiety? A 5-year longitudinal study of a nationally representative sample of community residing older adults

BackgroundAnxiety is common in older adults and social isolation is one of the leading factors associated with their anxiety. However, what is unknown is how the relationship between social isolation and anxiety differs by cognitive status. Therefore, this study was conducted to (1) compare the level of social isolation and anxiety in older adults who developed probable dementia and mild cognitive impairment (MCI) to those who maintained normal cognitive function over 5 years; and (2) determine if cognitive impairment moderates the relationship between changes in social isolation and changes in anxiety over 5 years.MethodsA secondary data analysis was conducted using the National Social Life, Health, and Aging Project (NSHAP): Wave 2 (2010–2011) and Wave 3 (2015–2016). The participants were categorized into three groups: Participants who developed probable dementia over 5 years (4.3%), developed probable MCI (19.1%), or maintained normal cognitive function (76.6%). Weighted linear regression analyses with a group interaction were used to examine the moderating effect of cognitive impairment on the relationship between changes in social isolation and anxiety.ResultsAt the 5-year follow up, there were statistically significant differences in social isolation between the three groups (p = 0.043). Regression analyses showed that increased social isolation over time was related to increased anxiety over 5 years regardless of cognitive status after controlling for covariates (p = 0.017).ConclusionsThe relationship between social isolation and anxiety was a universal phenomenon regardless of cognitive status. Tailored interventions targeting both people with or without cognitive impairment are needed to lessen social isolation and anxiety.

Preoperative mild cognitive impairment as a risk factor of postoperative cognitive dysfunction in elderly patients undergoing spine surgery.

Any persistent degree of cognitive impairment in older adults is a concern as it can progress to dementia. This study aimed to determine the incidence and risk factors for early postoperative cognitive dysfunction (POCD) in elderly patients undergoing spine surgery. Patients were enrolled from a previous prospective observational study after screening for normal cognitive function using the Mini Mental State Examination (MMSE). Cognitive function was evaluated before surgery and at 1 week, month, and year post-surgery using MMSE and Montreal Cognitive Assessment scores (MoCA). Mild cognitive impairment (MCI) was determined using the MoCA scores adjusted for age. POCD was defined as a drop of three or more points on the MMSE 1 week post-surgery. Multivariate logistic analysis was performed to identify POCD risk factors. A total of 427 patients were included. Eighty-five (20%) had pre-existing MCI. The MCI group showed lower MoCA scores at each time point (baseline, 1 week after surgery, 1 month after surgery, 1 year after surgery) compared to the non-MCI group. Those in the MCI group had a higher rate of admission to intensive care unit after surgery, postoperative delirium, and POCD 1 week post-surgery, than those in the non-MCI group (16.5% vs. 6.7%, p = 0.008; 27.1% vs. 15.8%, p = 0.024; and 18.8% vs. 8.2%, p < 0.001, respectively). Among them, 10.3% were assessed for POCD on postoperative day 7 and self-reported poor social roles and physical functioning 1 week postoperatively. Preoperative MCI was seen in ~20% of surgical patients aged >70 years. POCD was seen in ~20% of patients with pre-existing MCI, and ~ 10% of those without. Benzodiazepine use, significant comorbidities, pre-existing MCI, and depressive tendencies were risk factors for POCD.

Contingent Negative Variation in the Evaluation of Neurocognitive Disorders Due to Possible Alzheimer's Disease.

The usefulness of Contingent Negative Variation (CNV) potential as a biomarker of neurocognitive disorders due to possible Alzheimer's disease, is based on its possible physiological correlates. However, its application in the diagnostic evaluation of these disorders is still incipient. The aim of this study is to characterize the patterns of cognitive processing of information in the domain of nonspecific global attention, by recording potential CNV in a group of patients with neurocognitive disorders due to possible Alzheimer's disease. An experimental study of cases and controls was carried out. The sample included 39 patients classified according to DSM-5 with a neurocognitive disorder subtype possibly due Alzheimer's disease, and a Control Group of 53 subjects with normal cognitive functions. CNV potential was registered using standard protocol. The analysis of variance obtained significant differences in mean values and confidence intervals of total CNV amplitude between the three study groups. The late CNV segment amplitudes makes it possible to discriminate between the level of mild and major dysfunction in the group of patients. The CNV total amplitudes of potential allows for effective discrimination between normal cognitive functioning and neurocognitive disorders due to possible Alzheimer's disease.

Deep insights into MCI diagnosis: A comparative deep learning analysis of EEG time series

BackgroundIndividuals in the early stages of Alzheimer’s Disease (AD) are typically diagnosed with Mild Cognitive Impairment (MCI). MCI represents a transitional phase between normal cognitive function and AD. Electroencephalography (EEG) records carry valuable insights into cerebral cortex brain activities to analyze neuronal degeneration. To enhance the precision of dementia diagnosis, automatic and intelligent methods are required for the analysis and processing of EEG signals. New methodsThis paper aims to address the challenges associated with MCI diagnosis by leveraging EEG signals and deep learning techniques. The analysis in this study focuses on processing the information embedded within the sequence of raw EEG time series data. EEG recordings are collected from 10 Healthy Controls (HC) and 10 MCI participants using 19 electrodes during a 30 min eyes-closed session. EEG time series are transformed into 2 separate formats of input tensors and applied to deep neural network architectures. Convolutional Neural Network (CNN) and ResNet from scratch are performed with 2D time series with different segment lengths. Furthermore, EEGNet and DeepConvNet architectures are utilized for 1D time series. ResultsResNet demonstrates superior effectiveness in detecting MCI when compared to CNN architecture. Complete discrimination is achieved using EEGNet and DeepConvNet for noisy segments. Comparison with existing methodsResNet has yielded a 3 % higher accuracy rate compared to CNN. None of the architectures in the literature have achieved 100 % accuracy except proposed EEGNet and DeepConvnet. ConclusionDeep learning architectures hold great promise in enhancing the accuracy of early MCI detection.

Clinical characteristics and associated factors of mild cognitive impairment in patients with common cardiovascular diseases

Objective: To analyze the clinical characteristics of patients with common cardiovascular diseases (CVD, including hypertension, coronary heart disease, atrial fibrillation, and heart failure) combined with mild cognitive impairment (MCI) and explore the potential risk factors of MCI in patients with CVD. Methods: A total of 2 294 patients with common cardiovascular diseases who met the criteria at Cardiology Medical Center in Beijing Anzhen Hospital, Capital Medical University, from June 1, 2021, to January 5, 2022, were retrospectively included. The patients were divided into the normal cognitive function group (1 107 cases) and the MCI group (1 187 cases). Demographic information and CVD status were collected. The information of cognitive function were collected using the Montreal Cognitive Assessment (MoCA) and the Mini-Mental State Examination (MMSE) scales. The difference between normal cognitive function and MCI were compared and analyzed. The logistic regression analysis was used to explored risk factors of MCI in CVD patients. Results: A total of 2 294 patients aged (60.6±10.4) years were included, among whom there were 29.99% (688 cases) females. Compared with patients in the normal cognitive function group, patients in the MCI group were older [ (57.9±11.4) vs (63.1±8.9) years old, P<0.001], with a higher proportion of women [26.47% (293 cases) vs 33.28% (395 cases), P<0.001]; there was a higher proportion of patients suffering from hypertension in the MCI group [59.62% (660 cases) vs 64.62% (767 cases), P=0.014］, and more components of CVD [(1.68±0.62) vs (1.74±0.65) components, P=0.017]. The risk factors of MCI in patients with common CVD were increased age, increased depression score, combined with hypertension, and ≥3 common components of CVD, with OR (95%CI) of 1.043 (1.032-1.054), 1.021 (1.004-1.037), 1.151 (1.142-3.439), and 1.137 (1.023-1.797), respectively (all P values <0.05). Increasing education level was observed to be associated with reduced risk of MCI with OR (95%CI) of 0.319 (0.271-0.378) (P<0.05). Conclusions: The incidence of MCI was high in CVD patients. The risk factors of MCI in CVD patients included hypertension and≥3 common components of CVD.

Diffusion tensor imaging of brain changes in patients with chronic kidney disease before cognitive impairment with 3 T MRI device

BackgroundPatients with chronic kidney disease (CKD) are at risk of a many of central nervous system complications such as stroke and cognitive impairment. Studies based on diffusion tensor imaging (DTI) confirmed that the integrity of white matter in CKD patients has changed and these alterations can be observed before tissue morphological changes occurring on conventional MRI. Early use of DTI in CKD patients can distinguish early individuals with normal cognitive system function and will develop cognitive impairment in later stages.ResultsAs compared with controls, patients with CKD showed increased MD and decreased FA values in different brain regions with frontal, parietal regions and genu of corpus callosum more affected more than the occipital regions. For combined FA and MD in differentiating cases with CKD, there was statistically significant difference in both thalami, internal capsule, CC, cingulum, ILF and CST as p value < 0.05.ConclusionsDTI with fiber tractography can present the mainstay of imaging in evaluating the white matter integrity in CKD patient has normal conventional MRI with better diagnostic accuracy in differentiation between healthy and altered white matters.

An Atherosclerosis Indicator Hyaluronic Acid: Can Plasma Hyaluronic Acid Be Useful in Diagnosing Alzheimer's Disease?

The aim is to compare the plasma levels of hyaluronic acid (HA) which is closely related to inflam-mation and vascular changes and arterial stiffness (AS) related values in patients with Alzheimer's disease (AD), amnestic type mild cognitive impairment (aMCI), and normal cognitive functions (NCF). Ninety participants were categorized into three groups, patients with AD, MCI, and NCF. Arterial stiffness measurement in the nephrology outpatient clinic, and storage and analysis of plasma samples in the biochemistry laboratory. Of the 90 patients, 32 had NCF, 32 had aMCI, and 26 had AD. Between groups, there was no difference in HA, pulse wave velocity, and augmentation index. The HA level had no statistically significant correlation with any of the other variables. Plasma HA levels will not be useful in the diagnosis of AD. More comprehensive studies with larger number of patients are needed.

The Role of Biomarkers in Predicting Cognitive Impairment in Elderly Patients with Heart Failure.

This study explores the impact of sST2, Growth Differentiation Factor 15 (GDF-15), and clinical factors on cognitive dysfunction in elderly patients with heart failure with reduced ejection fraction (HFrEF). A cohort of 101 chronic stable HFrEF patients aged over 65 years old participated in the study. Cognitive functions were assessed using the Montreal Cognitive Assessment (MoCA) test and the Mini Mental State Examination (MMSE). Levels of sST2, GDF-15, and N-terminal pro b-type natriuretic peptide (NT-proBNP) were also measured. Notably higher levels of NT-proBNP and GDF-15 were observed in the group with cognitive dysfunction, whereas sST2 levels were similar between the groups. The cognitive dysfunction group consisted of older patients. A higher proportion of patients with normal cognitive function had received influenza vaccinations. Furthermore, GDF-15 levels inversely correlated with MMSE score. Right ventricular diameter was negatively correlated, while hemoglobin levels were positively correlated with both MoCA and MMSE scores. Logistic regression analysis identified increased GDF-15 levels, older age, and advanced New York Heart Association (NYHA) classes as predictors of higher cognitive dysfunction risk, whereas influenza vaccination was linked to a reduced risk of cognitive dysfunction. Cognitive dysfunction in elderly patients with heart failure may be influenced by factors such as age, right ventricular enlargement, anemia, NYHA functional class, and levels of GDF-15 and NT-proBNP.

Biomarkers of chronic inflammation and cognitive decline: A prospective observational study.

We sought to determine whether the biomarkers of chronic inflammation predict cognitive decline in a prospective observational study. We measured baseline serum soluble urokinase plasminogen activator receptor (suPAR) and high sensitivity C-reactive protein (hs-CRP) levels in 282 participants of the University of Michigan Memory and Aging Project. Cognitive function was measured using the Montreal Cognitive Assessment (MoCA) and the Clinical Dementia Rating (CDR) scale for up to five time points. SuPAR and hs-CRP levels were not significantly higher in participants with mild cognitive impairment (n=97) or dementia (n=59), compared to those with normal cognitive function (n=126). Overall, 14% of participants experienced significant cognitive decline over the study period. The change in MoCA or CDR scores over time did not differ significantly according to baseline suPAR or hs-CRP levels. Chronic systemic inflammation, as measured by serum suPAR or hs-CRP levels, is unlikely to contribute significantly to cognitive decline.

Reading Holy Quran Associated With Better Cognitive Function in Older Adults: A Systematic Review.

Background: As the global population ages, understanding factors that contribute to better cognitive function in older adults becomes crucial. This systematic review delves into the potential relationship between reading the Holy Quran and cognitive function in older adults. Methods: A systematic search was conducted across five electronic databases (PubMed, ScienceDirect, Google Scholar, Tripdatabase, Cochrane) to identify relevant studies that were published between 2004 to December 2023. Inclusion criteria were centered on studies exploring the correlation between reading the Quran and cognitive function in older adults. Results: Five studies meeting the inclusion criteria were included in this systematic review. Notably, four of these studies reported a significant correlation between the intensity or duration of Quranic reading and improved cognitive function in older adults. Discussion: The findings imply a potential positive association between engaging with the Holy Quran and cognitive function among the elderly. This relationship holds promise for potential applications in cognitive health interventions for older adults especially for Muslim patients. Conclusion: This review provides evidence supporting the relationship between reading the Holy Quran and normal cognitive function in older adults. The consistent findings underscore the importance of further research to elucidate underlying mechanisms and consider potential implications for cognitive health interventions.

Dietary Flavonoid Intake and Risk of Mild Cognitive Impairment in the Elderly: A Case-Control Study

Background: This study investigates the association between dietary flavonoid intake and the incidence of mild cognitive impairment (MCI) through a matched case-control design. Methods: Dietary intake was assessed using a food frequency questionnaire, comparing the intake of flavonoids between individuals with MCI and those with normal cognitive function. Logistic regression analysis was employed to evaluate the correlation between dietary flavonoid intake and the risk of MCI. Additionally, blood concentrations of S100β, a marker of the blood-brain barrier (BBB) integrity, were measured using electrochemiluminescence immunoassay, and Pearson correlation analysis was conducted to explore the relationship between dietary flavonoid intake and blood S100β levels. Results: Compared to participants with normal cognition, those with MCI had significantly lower dietary intakes of total flavonoids, isoflavones, daidzein, glycitein, genistein, kaempferol, myricetin, flavonols, and anthocyanidins, while the intake of peonidin was significantly higher. Univariate logistic regression analysis indicated that high dietary intake of total flavonoids, isoflavones, daidzein, glycitein, genistein, kaempferol, myricetin, and flavonols was negatively correlated with MCI, whereas peonidin intake was positively correlated with MCI. Multivariate logistic regression analysis confirmed these findings. Pearson correlation analysis revealed a significant negative correlation between dietary intake of kaempferol and myricetin and blood S100β levels. Conclusion: Increasing the dietary intake of total flavonoids, isoflavones, daidzein, glycitein, genistein, and flavonols appears to be a protective factor against MCI, while higher intake of peonidin is associated with an increased risk of MCI. The protective or adverse effects of these flavonoids may not be related to the permeability of the BBB. Myricetin and kaempferol intake may protect cognitive function by maintaining BBB integrity.

Risk factors for cognitive impairment in middle-aged type 2 diabetic patients: a cross-sectional study

ObjectiveThe aim of this study was to investigate risk factors for cognitive impairment (CI) and explore the relationship between obesity and cognition in hospitalised middle-aged patients with type 2 diabetes...

The application of eXplainable artificial intelligence in studying cognition: A scoping review.

The rapid advancement of artificial intelligence (AI) has sparked renewed discussions on its trustworthiness and the concept of eXplainable AI (XAI). Recent research in neuroscience has emphasized the relevance of XAI in studying cognition. This scoping review aims to identify and analyze various XAI methods used to study the mechanisms and features of cognitive function and dysfunction. In this study, the collected evidence is qualitatively assessed to develop an effective framework for approaching XAI in cognitive neuroscience. Based on the Joanna Briggs Institute and preferred reporting items for systematic reviews and meta-analyses extension for scoping review guidelines, we searched for peer-reviewed articles on MEDLINE, Embase, Web of Science, Cochrane Central Register of Controlled Trials, and Google Scholar. Two reviewers performed data screening, extraction, and thematic analysis in parallel. Twelve eligible experimental studies published in the past decade were included. The results showed that the majority (75%) focused on normal cognitive functions such as perception, social cognition, language, executive function, and memory, while others (25%) examined impaired cognition. The predominant XAI methods employed were intrinsic XAI (58.3%), followed by attribution-based (41.7%) and example-based (8.3%) post hoc methods. Explainability was applied at a local (66.7%) or global (33.3%) scope. The findings, predominantly correlational, were anatomical (83.3%) or nonanatomical (16.7%). In conclusion, while these XAI techniques were lauded for their predictive power, robustness, testability, and plausibility, limitations included oversimplification, confounding factors, and inconsistencies. The reviewed studies showcased the potential of XAI models while acknowledging current challenges in causality and oversimplification, particularly emphasizing the need for reproducibility.