Cognitive Test Results Research Articles

Cognitive Outcomes in Young Adults with Primary Arterial Hypertension: The Role of Cardiovascular Risk Factors and Hypertension-Mediated Organ Damage.

Background and Objectives: We aimed to explore the association between cognitive performance and markers of hypertension-mediated organ damage (HMOD) in young adults with hypertension. Materials and Methods: A group of adults aged 16 to 45 years with primary arterial hypertension completed a battery of paper-pencil as well as computer-based neuropsychological tests across all major cognitive domains. They also underwent office and ambulatory 24 h blood pressure, intima-media thickness measurements, heart ultrasound, and laboratory analysis of their lipid profile, blood uric acid concentration, and urine albumin-creatinine ratio. Associations between cognitive test results and markers of HMOD were explored through correlation analysis and age-, sex-, and body mass index-adjusted linear regression modeling. Results: Seventy-six individuals (62, 81.6% male) aged 36.5 years (interquartile range 18.4 to 42.0 years) were enrolled. After adjusting for age, sex, and body mass index in linear regression models, worse categorical fluency was associated with higher left ventricular mass (βst = -0.264, p = 0.043) and worse performance in a task of sustained attention-with higher left ventricular mass index (βst = -0. 304, p = 0.016). Worse phonemic fluency was related to higher pulse pressure (βst = -0.241, p = 0.049) in the respective model. Better strategy use in the task of spatial working memory was linked to higher daytime mean diastolic blood pressure (βst = -0.343 p = 0.017). Conclusions: Performance among young adults with hypertension across selected cognitive domains was inversely associated with pulse pressure, markers of left ventricular damage, and directly associated with daytime diastolic blood pressure. Our study suggests that the previously reported relationship between cognitive and cardiovascular markers in hypertension exists earlier than in middle or late adulthood.

Pelatihan Pengukuran Biomotorik bagi Atlet Tinju Tingkat Sekolah Menengah Atas

This community service (PkM) aims to apply effective biomotor measurement techniques for high school-level boxing athletes to improve performance in the ring. The method of implementing this service used lectures, demonstrations, and cognitive tests targeting 9 boxing athletes and 2 coaches at SMAN 6 Gorontalo City. Lecture sessions covered strength, endurance, speed, agility, flexibility, balance, motor skills, body composition, explosive power, and functional tests. Demonstration sessions involved practical measurements using various tests to monitor athlete progress. The cognitive test results showed good understanding from the participants with an average of 83%, indicating increased knowledge about biomotors and their applications. This activity succeeded in improving participants' skills in evaluating and improving boxing performance, facilitating a more effective and highly competitive training program. The application of appropriate biomotor techniques could improve training programs and athlete performance.

Diverging Relationships among Amyloid, Tau, and Brain Atrophy in Early-Onset and Late-Onset Alzheimer's Disease.

Alzheimer's disease (AD) dementia may not be a single disease entity. Early-onset AD (EOAD) and late-onset AD (LOAD) have been united under the same eponym of AD until now, but disentangling the heterogeneity according to the age of sonset has been a major tenet in the field of AD research. Ninety-nine patients with AD (EOAD, n=54; LOAD, n=45) and 66 cognitively normal controls completed both [18F]THK5351 and [18F]flutemetamol (FLUTE) positron emission tomography scans along with structural magnetic resonance imaging and detailed neuropsychological tests. EOAD patients had higher THK retention in the precuneus, parietal, and frontal lobe, while LOAD patients had higher THK retention in the medial temporal lobe. Intravoxel correlation analyses revealed that EOAD presented narrower territory of local FLUTE-THK correlation, while LOAD presented broader territory of correlation extending to overall parieto-occipito-temporal regions. EOAD patients had broader brain areas which showed significant negative correlations between cortical thickness and THK retention, whereas in LOAD, only limited brain areas showed significant correlation with THK retention. In EOAD, most of the cognitive test results were correlated with THK retention. However, a few cognitive test results were correlated with THK retention in LOAD. LOAD seemed to show gradual increase in tau and amyloid, and those two pathologies have association to each other. On the other hand, in EOAD, tau and amyloid may develop more abruptly and independently. These findings suggest LOAD and EOAD may have different courses of pathomechanism.

Assessment of Efficacy and Safety of Mangifera indica Extract (Stadice®) for Cognitive Function: A Randomized, Double-Blind, Placebo-Controlled Study.

Background and objectives Stadice® is a proprietary herbal ingredient preparation standardized to mangiferin, developed to support cognitive wellness in healthy adults. Mangifera indica extract and its active constituent, mangiferin were known for its positive cognitive health benefits at experimental levels. This was an attempt to evaluate the clinical efficacy and safety of Stadice® on healthy subjects. Materials and methods A randomized, double-blind, placebo-controlled clinical study was designed to study the efficacy and safety of Stadice®. Sixty healthy subjects who were regularly playing virtual/mobile/computer/laptop games online or offline were asked to consume a capsule containing 300 mg of Stadice® or placebo per day for seven days. Cognitive ability tests, that were part of the NIMHANS Neuropsychological Battery and Auditory verbal learning tests were used to assess the cognitive health effects. Psychological stress response, anxiety, mood, subjective working memory, and cortisol levels were also assessed. All assessments were carried out at the baseline and at the end of the study. Results Stadice® was found to significantly improve mental speed, attention, working memory, response inhibition, and verbal learning and memory as evidenced by the results of the multiple cognitive ability tests. Additionally, Stadice ® showed beneficial responses in managing psychological stress in terms of handling nervousness, irritability, or mood swings. No safety concerns were found in the laboratory safety test parameters as they were within the normal physiological range and no adverse events were reported in this study. Conclusion The proprietary Mangifera indica extract (Stadice®) holds promise for enhancing cognitive abilities in healthy adults, particularly those engaged in esports. Improvements in learning, memory, mental speed, attention, response inhibition, and working memory among participants supplemented with Stadice® were observed with a good safety profile. Further exploration is warranted to ascertain its broader applicability as well as to elucidate the possible mechanisms.

Markers of Biological Brain Aging Mediate Effects of Vascular Risk Factors on Cognitive and Motor Functions: A Multivariate Imaging Analysis of 40,579 Individuals.

The increasing global life expectancy brings forth challenges associated with age-related cognitive and motor declines. To better understand underlying mechanisms, we investigated the connection between markers of biological brain aging based on magnetic resonance imaging (MRI), cognitive and motor performance, as well as modifiable vascular risk factors, using a large-scale neuroimaging analysis in 40,579 individuals of the population-based UK Biobank and Hamburg City Health Study. Employing partial least squares correlation analysis (PLS), we investigated multivariate associative effects between three imaging markers of biological brain aging - relative brain age, white matter hyperintensities of presumed vascular origin, and peak-width of skeletonized mean diffusivity - and multi-domain cognitive test performances and motor test results. The PLS identified a latent dimension linking higher markers of biological brain aging to poorer cognitive and motor performances, accounting for 94.7% of shared variance. Furthermore, a mediation analysis revealed that biological brain aging mediated the relationship of vascular risk factors - including hypertension, glucose, obesity, and smoking - to cognitive and motor function. These results were replicable in both cohorts. By integrating multi-domain data with a comprehensive methodological approach, our study contributes evidence of a direct association between vascular health, biological brain aging, and functional cognitive as well as motor performance, emphasizing the need for early and targeted preventive strategies to maintain cognitive and motor independence in aging populations.

Inovasi Pembelajaran Fisika: Integrasi Problem Based Learning dan Simulasi PhET pada Materi Gelombang Bunyi

This research is motivated by the low learning outcomes of physics students, especially on sound waves material. The purpose of this research is to evaluate the effectiveness of Problem Based Learning (PBL) learning model assisted by PhET simulation in improving students' physics learning outcomes. The research method used was a pseudo experiment with a sample of 28 students of class XI IPA 2 at SMA Negeri 2 Kupang. The data obtained were analyzed by quantitative descriptive method. The results showed that after the application of PBL learning model with PhET simulation there was a significant increase in student learning outcomes. From the results of cognitive tests before treatment (pre-test), there were no students who reached the average percentage level of scores ≥ 75%, with an average score of 19. After the treatment (post-test), 25 out of 28 students were declared complete with an average percentage level of 95 or ≥ 75%. At the stage of observation and observation of affective abilities, 25 students reached an average percentage level ≥ 75%, and 3 students were still below 75%. In the follow-up observation on the psychomotor spec, 26 students reached an average percentage level ≥ 75%, and 2 students were still below 75%. The application of PBL model assisted by PhET simulation is effective in improving students' physics learning outcomes on sound wave material.

The Risk of Atrial Fibrillation and Previous Ischemic Stroke in Cognitive Decline.

Objectives: Our study investigated the inverse relationship between cognitive decline (CD) and the presence of documented atrial fibrillation (AFib), ischemic stroke, heart failure, lower extremity peripheral artery disease, and diabetes mellitus. Methods: We conducted a retrospective cross-sectional study between December 2016 and November 2019. A total of 469 patients were enrolled who underwent cognitive evaluation with three cognitive tests (Montreal Cognitive Assessment-MOCA, Mini-Mental State Examination-MMSE, and General Practitioner Assessment of Cognition-GPCOG). We used the standard cut-off values, and the optimal thresholds were obtained from the receiver operating characteristic curves. Results: The standard cut-off level of the MOCA (<26 points) was associated with the presence of AFib (OR: 1.83, 95% CI: 1.11-3.01) and the optimal cut-off level with <23 points with ischemic stroke (OR: 2.64, 95% CI: 1.47-4.74; p = 0.0011). The optimal cut-off value of the MMSE (<28 points) was associated with the presence of ischemic stroke (OR: 3.07, 95% CI: 1.56-6.07; p = 0.0012), AFib (OR: 1.65, 95% CI: 1.05-2.60; p = 0.0287), and peripheral artery disease (OR: 2.72, 95% CI: 1.38-5.36; p = 0.0039). GPCOG < 8 points were associated with ischemic stroke (OR: 2.18, 95% CI: 1.14-4.14; p = 0.0176) and heart failure (OR: 1.49, 95% CI: 1.01-2.21; p = 0.0430). Conclusions: Our research highlighted the broader utility of cognitive assessment. The MOCA and MMSE scores proved to be associated with documented AFib. Higher cognitive test results than the standard threshold for CD of the MMSE, GPCOG, and lower MOCA scores represented risk factors for the presence of previous ischemic stroke.

Plasma Neurofilament Light Chain: A Potential Biomarker for Neurological Dysfunction in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome.

Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a complex disorder characterized by heterogeneous symptoms, which lack specific biomarkers for its diagnosis. This study aimed to investigate plasma neurofilament light chain (NfL) levels as a potential biomarker for ME/CFS and explore associations with cognitive, autonomic, and neuropathic symptoms. Here, 67 ME/CFS patients and 43 healthy controls (HCs) underwent comprehensive assessments, including neuropsychological evaluation, autonomic nervous system (ANS) testing, and plasma NfL level analysis. ME/CFS patients exhibited significantly higher plasma NfL levels compared to HC (F = 4.30, p < 0.05). Correlations were observed between NfL levels and cognitive impairment, particularly in visuospatial perception (r = -0.42; p ≤ 0.001), verbal memory (r = -0.35, p ≤ 0.005), and visual memory (r = -0.26; p < 0.05) in ME/CFS. Additionally, higher NfL levels were associated with worsened autonomic dysfunction in these patients, specifically in parasympathetic function (F = 9.48, p ≤ 0.003). In ME/CFS patients, NfL levels explained up to 17.2% of the results in cognitive tests. Unlike ME/CFS, in HC, NfL levels did not predict cognitive performance. Elevated plasma NfL levels in ME/CFS patients reflect neuroaxonal damage, contributing to cognitive dysfunction and autonomic impairment. These findings support the potential role of NfL as a biomarker for neurological dysfunction in ME/CFS. Further research is warranted to elucidate underlying mechanisms and clinical implications.

Transferability of Effective Consultation Skills for Decision-Making Support in the Voluntary Surrender of Older Adult Drivers' Licences in Super-Aged Japan.

Previously, we identified eight effective consultation skills to support decision-making in the voluntary surrender of older adult drivers' licences in super-aged Japan. This study aimed to clarify the transferability of these skills. We collected text data by interviewing 11 safe-driving counsellors (four police officers, four clerical staff and three nurses) in the License Division of the National Police Agency from February to March 2022. Interviews were semi-structured and conducted by telephone or email. During the interview, participants were asked to recall their experiences as counsellors providing decision-making support to older drivers and to compare their experiences with the eight consultation skills. We analysed the content of the responses by quantitative text analysis with KH Coder 3 software. As a characteristic of the words and phrases used by counsellors in their narratives about consultation skills, the most frequently extracted words from among 3147 words were think, parties and family, and promote had the highest mediation centrality. The eight subgraphs were 'Respecting the will of relevant parties from their standpoint is natural', 'Listening attentively and empathetically to relevant parties is effective', 'Presenting objective data to guide decisions is successful', 'Showing cognitive functioning test results is often effective', 'Counselors with medical expertise can elicit positive counseling outcomes', 'Intervention by medical or police counselors facilitates the decision to surrender voluntarily', 'Counseling skills need to be improved' and 'A diagram of the 8 skills is helpful for inexperienced counselors'. The results suggest that the eight consultation skills have similarities and are transferable. This transferability might contribute to practical application or cohort follow-up study research. These skills can be incorporated into counsellor training, and counsellors can be expected to use these skills in the future. Regardless of the safe-driving counsellor's years of experience, the skills can help them provide uniform and accurate support in decision-making regarding the voluntary surrender of older adult drivers' licences. These skills are a promising approach to help older adults lead safe and secure lives as they age.

Implementation of Project-Based Learning Computational Thinking Models in Mobile Programming Courses

This study focuses on investigating the integration of project-based learning with computational thinking (PjBL-CT) skills to enhance students’ proficiency in learning mobile programming. The findings of the model provide an evaluation of cognitive aspects, affective aspects in the form of 4C soft skills, and psychomotor aspects. To measure the effectiveness of the model, we will test the differences in the quality of student learning outcomes between two groups: the control group and the experimental group. The cognitive test results showed a value of 80.85 for the experimental class and 73.21 for the control class. For the assessment of soft skill 4C, student creativity aspects are superior to other aspects. Whereas for aspects of enhancing the project’s value, an important finding from the results obtained is the significant improvement in the quality of learning by incorporating computational thinking into the problem-based learning (PBL) model.

Associations Between Midlife Anticholinergic Medication Use and Subsequent Cognitive Decline: A British Birth Cohort Study.

Anticholinergic medication use is associated with cognitive decline and incident dementia. Our study, a prospective birthcohortanalysis, aimed to determine if repeated exposure to anticholinergic medicationswas associated with greater decline, and whether decline was reversed with medication reduction. From the Medical Research Council (MRC) National Survey of Health and Development, a British birth cohort with all participants born in a single week of March 1946, we quantified anticholinergic exposure between ages 53 and 69 years using the Anticholinergic Cognitive Burden Scale (ACBS). We used multinomial regression to estimate associations with global cognition, quantified bythe Addenbrooke's Cognitive Examination, 3rd Edition (ACE-III). Longitudinal associations between ACBS and cognitive test results (Verbal memory quantifiedby theWord Learning Test [WLT], and processing speed quantified by theTimed Letter Search Task [TLST]) at three time points (age 53, 60-64 and 69) were assessed using mixed and fixed effects linear regression models. Analyses were adjusted for sex, childhood cognition, education, chronic disease count and severity, and mental health symptoms. Anticholinergic exposure was associated cross-sectionally with lower ACE-III scores at age 69, with the greatest effects in those with high exposure at ages 60-64 (mean difference - 2.34, 95% confidence interval [CI] - 3.51 to - 1.17). Longitudinally, both mild-moderate and high ACBS scores were linked to lower WLT scores, again with high exposure showing larger effects (mean difference with contemporaneous exposure - 0.90, 95% CI - 1.63 to - 0.17; mean difference with lagged exposure - 1.53, 95% CI - 2.43 to - 0.64). Associations remained in fixed effects models (mean difference with contemporaneous exposure -1.78, 95% CI -2.85 to - 0.71; mean difference with lagged exposure - 2.23, 95% CI - 3.33 to - 1.13). Associations with TLST were noted only in isolated contemporaneous exposure (mean difference - 13.14, 95% CI - 19.04 to - 7.23; p<0.01). Anticholinergic exposure throughout mid and later life was associated with lower cognitive function. Reduced processing speed was associated only with contemporaneous anticholinergic medication use, and not historical use. Associations with lower verbal recall were evident with both historical and contemporaneous use of anticholinergic medication, and associations with historical use persisted in individuals even when their anticholinergic medication use decreased over the course of the study.

Association between plasma long-chain polyunsaturated n-3 fatty acids concentrations and cognitive function: findings from NHANES III.

With increased life expectancy, cognitive decline has emerged as a prevalent neurodegenerative disorder. This study aimed to examine the correlation between concentrations of Plasma long-chain n-3 polyunsaturated fatty acids (LCPUFAs) and cognitive performance in elderly Americans. Data were analyzed from older adults enrolled in two NHANES cycles. Participants completed four cognitive assessments, including the Immediate Recall Test (IRT), Delayed Recall Test (DRT), Animal Fluency Test (AFT), and Digit Symbol Substitution Test (DSST). Linear regression and restricted cubic spline modeling examined associations between plasma LCPUFAs levels and cognitive test outcomes. The cohort included 610 adults aged 69 years on average, 300 (49.2%) males and 310 (50.8%) females. The median LCPUFAs concentration was 309.4 μmol/L, with an interquartile range of 244.7-418.9 μmol/L. In unadjusted and adjusted generalized linear regression model analyses, circulating LCPUFAs exhibited significant positive correlations with DRT performance. No relationships were detected among those with chronic conditions (chronic heart failure, stroke, diabetes). A significant association between LCPUFAs levels and DRT scores was evident in males but not females. Plasma LCPUFAs concentrations were significantly associated with DRT performance in males free of chronic illnesses, including heart failure, stroke, and diabetes.

The relationship between thermal comfort, performance, and electroencephalogram during cognitive tests at normal indoor temperatures in summer

Electroencephalograms have been proposed as potential physiological indicators to gauge the thermal comfort and cognitive performance of individuals in indoor environments, yet further experimental validation is required. In this study, a simulated experiment was conducted in a climatic room during summer, with temperatures set at 24 °C, 26 °C, 28 °C, 30 °C, and 32 °C. Twenty participants, attired in typical summer clothing (short sleeves and long pants totaling 0.39 clo), undertook cognitive tests assessing short-term memory and concentration while seated, alongside providing thermal comfort ratings. Electroencephalogram signals were continuously recorded from 14 electrode channels across the brain during the second cognitive test unit, spanning the 70th to 90th minute of experimental exposure. The relative power of electroencephalogram signals was computed and analyzed in conjunction with thermal comfort voting, revealing a significant impact of indoor temperature variations on α-band activity in the occipital lobe, with peak α-band relative power observed at 26 °C. Moreover, the whole-brain α-band relative power was significantly higher in states of thermal comfort compared to discomfort, particularly concentrated in the occipital lobe. Linear correlation analysis between cognitive test results and electroencephalogram signals indicated significant associations between the relative power of whole-brain β, δ, and θ bands and scores from the concentration-focused Flanker test. Channels O1 and P8 emerged as potential candidates for single-channel electroencephalogram signals, offering insights into thermal comfort status and cognitive performance related to concentration.

Predicting cognitive function and dementia risk in patients with hypertension.

In spite of the fact that hypertension stand out as the main vascular risk factor for developing dementia, it is essential to acknowledge the presence of other risk factors, both vascular and non-vascular that contribute to increase this risk. This study stratified the dementia risk using CAIDE (Cardiovascular Risk Factors, Aging, and Incidence of Dementia) dementia risk score in a sample of 1279 hypertensive patients from the Heart-Brain Study in Argentina and to observed the association between the risk factors include in the CAIDE score and the current cognitive status. The average age of the sample was 60.2 ± 13.5 years (71% female) and the average years of education was 9.9 ± 5.1 years. To assess the current cognitive status, we used the Mini-mental test (MMSE), the clock drawing test (CDT) and Mini-Boston test. According to CAIDE score ( ≥9 points) the risk of dementia was 40.4% in the total sample and 28.1% in the middle-life hypertensive patients (between 47 to 53 years). An inverse association was observed between CAIDE score and the results of current cognitive tests (MMSE = R2 0.9128, p < 0.0001; CDT = R2 0.9215, p < 0.0001 y Mini-Boston= R2 0.829, p < 0.0001). The CAIDE score can predict the risk of dementia in hypertensive patients and its result was associated with the current cognitive status (result of cognitive tests).

Neurometabolic activity in the thalamic and frontal cortex and cognitive functions in adolescents with generalized epileptic syndromes

The study aimed to analyse the mutual correlations between the metabolic activity of the brain evaluated by the magnetic resonance spectroscopy method (MRS) and intelligence and cognitive functions in adolescents with idiopathic generalised epilepsies (IGE). The focus of the study was placed on the activity of the thalamus and frontal cortex.Twenty newly diagnosed patients with juvenile absence epilepsy (JAE) and juvenile myoclonic epilepsy (JME) were included in the study. Adolescents underwent primary structural neuroimaging (1.5T) and advanced evaluation of the frontal cortex and thalamus by MRS. Concentrations of N-acetyl aspartate (NAA), creatine plus phosphocreatine (Cr) and choline (Cho) were measured and were expressed as ratios of NAA/Cr, NAA/Ch and NAA/Cr+Ch. Patients also completed a panel of IQ and cognitive tests (e.g., FePsy Battery – classification test, verbal fluency test, RAVLT memory test). The correlation between the level of metabolites and the results of intellectual and cognitive tests was examined.Strong correlations were found between IQ and some cognitive functions and metabolic ratios in the IGEs group. Overall the patients whose NAA/Cr, NAA/Ch, NAA/Cr+Ch ratios were lower, obtained worse results in IQ and in some of the neuropsychological tests.The metabolite activity in the thalamus and frontal cortex impacts the results of neuropsychological tests in the group of patients with IGE.

Amyloid-β prediction machine learning model using source-based morphometry across neurocognitive disorders

Previous studies have developed and explored magnetic resonance imaging (MRI)-based machine learning models for predicting Alzheimer’s disease (AD). However, limited research has focused on models incorporating diverse patient populations. This study aimed to build a clinically useful prediction model for amyloid-beta (Aβ) deposition using source-based morphometry, using a data-driven algorithm based on independent component analyses. Additionally, we assessed how the predictive accuracies varied with the feature combinations. Data from 118 participants clinically diagnosed with various conditions such as AD, mild cognitive impairment, frontotemporal lobar degeneration, corticobasal syndrome, progressive supranuclear palsy, and psychiatric disorders, as well as healthy controls were used for the development of the model. We used structural MR images, cognitive test results, and apolipoprotein E status for feature selection. Three-dimensional T1-weighted images were preprocessed into voxel-based gray matter images and then subjected to source-based morphometry. We used a support vector machine as a classifier. We applied SHapley Additive exPlanations, a game-theoretical approach, to ensure model accountability. The final model that was based on MR-images, cognitive test results, and apolipoprotein E status yielded 89.8% accuracy and a receiver operating characteristic curve of 0.888. The model based on MR-images alone showed 84.7% accuracy. Aβ-positivity was correctly detected in non-AD patients. One of the seven independent components derived from source-based morphometry was considered to represent an AD-related gray matter volume pattern and showed the strongest impact on the model output. Aβ-positivity across neurological and psychiatric disorders was predicted with moderate-to-high accuracy and was associated with a probable AD-related gray matter volume pattern. An MRI-based data-driven machine learning approach can be beneficial as a diagnostic aid.

DYNAMIC ASSESSMENT OF CEREBRAL PERFUSION BLOOD FLOW IN THE EARLY POST-STROKE PERIOD ACCORDING TO NON-CONTRAST MRI DATA

HighlightsThe non-contrast perfusion MR sequence pCASL (pseudocontinuous arterial spin labeling) is a technique that allows specialist to quantify and trace the changes in cerebral blood flow in the early post-stroke period. At the same time, there is a change in perfusion indices not only in the ischemic stroke area, but also in visually intact areas of the ipsilateral and contralateral hemispheres of the brain, which indicates the involvement of the blood supply area and the brain as a whole in the pathological process. The obtained data on the dynamics in perfusion, verified by the results of cognitive tests, open up the prospect of a comprehensive study of stroke as a complex brain disease with the possibility of predictive assessment of rehabilitation. Aim. To assess the dynamics of microcirculatory changes in the brain in the early post-stroke period by non-contrast perfusion MRI.Methods. The study included 42 patients with acute ischemic stroke. The patients were examined by 3T MRI using the following sequences: DWI-EPI, 3D FLAIR-SPIR, T2-TSE, T1W 3D-TFE, and pseudocontinuous arterial spin labeling (pCASL) on 1–3 days, 7–10 days and 3 months later after the manifestation of acute ischemic stroke. The cerebral blood flow (CBF) was obtained in 4 supratentorial regions of the brain: in the ischemic stroke and contralateral areas, as well as in a visually intact area of the ipsilateral and contralateral hemispheres (mL/100g/min).Results. In the ischemic stroke area, CBF increased from 19.86±5.69 (mean+Std) to 27.57±4.86 by first to the second examination, which was associated with the infusion therapy, local inflammatory response and compensatory reperfusion. By the 3rd examination CBF decreased to 14.48±3.66 (Student t-test, p&lt;0.05), which reflects cystic and atrophic transformation of the affected area. In visually intact white matter of the ipsilateral and contralateral hemispheres, CBF increased from hypoperfused to normoperfused from the first to the third examination. There was a significant decrease (p&lt;0.001) in tissue blood flow (by 54% for the 1st, 38% for the 2nd, 67% for the 3rd examination) in the ischemia area relative to intact parts of the brain.Conclusion. The pCASL allowed us to assess CBF in the post-stroke period in the ischemic area and in visually intact area, nevertheless, it requires additional pre- and postprocessing of data to obtain quantitative values. At the same time, we observed changes in perfusion in the ischemic stroke area, and in the visually intact areas of the ipsilateral and contralateral hemispheres of the brain, indicating the involvement of the cerebral blood flow and brain as a whole in the pathological process.

Machine-based learning of multidimensional data in bipolar disorder - pilot results.

Owing to the heterogenic picture of bipolar disorder, it takes approximately 8.8 years to reach a correct diagnosis. Early recognition and early intervention might not only increase quality of life, but also increase life expectancy as a whole in individuals with bipolar disorder. Therefore, we hypothesize that implementing machine learning techniques can be used to support the diagnostic process of bipolar disorder and minimize misdiagnosis rates. To test this hypothesis, a de-identified data set of only demographic information and the results of cognitive tests of 196 patients with bipolar disorder and 145 healthy controls was used to train and compare five different machine learning algorithms. The best performing algorithm was logistic regression, with a macro-average F1-score of 0.69 [95% CI 0.66-0.73]. After further optimization, a model with an improved macro-average F1-score of 0.75, a micro-average F1-score of 0.77, and an AUROC of 0.84 was built. Furthermore, the individual amount of contribution per variable on the classification was assessed, which revealed that body mass index, results of the Stroop test, and the d2-R test alone allow for a classification of bipolar disorder with equal performance. Using these data for clinical application results in an acceptable performance, but has not yet reached a state where it can sufficiently augment a diagnosis made by an experienced clinician. Therefore, further research should focus on identifying variables with the highest amount of contribution to a model's classification.

An unexpected interaction between diabetes and cardiovascular diseases on cognitive function: A cross-sectional study

ObjectiveImpaired cognitive function in older individuals significantly affects quality of life. The interaction between comorbid diabetes and cardiovascular disease (CVD) and its impact on cognitive impairment remains unclear. MethodsThis study analyzed 2564 subjects from the National Health and Nutrition Examination Survey dataset. Cognitive function was measured using various scores, including CERAD Total Score, CERAD Delayed Recall Score (CDRS), Animal Fluency Total Score, and Digit Symbol Score. Multiple regression models were constructed to explore the relationship between different diseases and cognitive function, considering covariates such as age, sex, education, body mass index, alcohol intake, smoking, physical activity, kidney function, and hypertension. ResultsAfter adjusting for multiple factors, the presence of CVD, diabetes, or both showed a significant negative association with the total cognitive score. The CDRS was associated with both CVD and diabetes. The Digit Symbol score was associated with the presence of CVD, diabetes, or both. No significant differences were found between patients with diabetes and CVD in cognitive test results. An interaction between CVD and diabetes was observed in relation to the CDRS but not in other test scores or the total score. ConclusionThe individual impact of each disease on cognitive function was not significant. However, an interaction between CVD and diabetes was found when both diseases coexisted, specifically in relation to delayed learning ability.

APOEε4 Carriers Exhibit Objective Cognitive Deficits: A Cross-Sectional Study in a Single Center Trial.

To explore the association between the apolipoprotein E (APOE) genotype and objectively assessed cognitive function. In this cross-sectional study, 537 participants underwent a neuropsychological assessment for cognitive function and blood testing for APOE genotype. Based on cognitive test results, participants were stratified into two cohorts: Cognitively Unimpaired participants (CU) and Cognitively Impaired participants (CI). The CI group was further divided into Mild Cognitive Impairment (MCI) and Alzheimer's Disease (AD). Furthermore, we conducted age stratification, categorizing participants into three age groups: age 1: <65 years, age 2: 65-75 years, and age 3: >75 years. We assessed the disparities in cognitive function associated with ε4 carrier status across different age brackets. Plasma amyloid-β levels were measured in a cohort of 294 participants to investigate potential interactions involving ε4 carrier status, diagnosis, sex, or plasma markers. The APOE genotypic distribution among the 537 participants was characterized as follows: ε2/ε2 (5 participants), ε2/ε3 (67), ε2/ε4 (13), ε3/ε3 (330), ε3/ε4 (113), and ε4/ε4 (9). Allele frequencies were: ε3 at 78.21%, ε4 at 13.41%, and ε2 at 8.38%. Notably, the ε4 carrier frequency was markedly elevated in the AD group at 81.8% when compared to MCI at 32.8% and CU at 21.3% (p < 0.05). Within the Cognitively Unimpaired (CU) cohort, the sole discernible contrast between ε4+ and ε4- emerged in STT-B (p < 0.05). Within the CI group, ε4 carriers showed statistically poorer scores as compared to non-ε4 carriers in several cognitive tests (p < 0.05). Age stratification result revealed that, among ε4 carriers, cognitive function scores within the age 3 group were significantly inferior to those of age 1 and age 2 groups (p < 0.05). Plasma amyloid-β detection was applied to the 294 participants. We tested plasma amyloid-β (Aβ42) and plasma amyloid-β (Aβ40) levels and calculated the Aβ42/Aβ40 ratio. We found that among female ε4 carriers, both Aβ42 and the Aβ42/Aβ40 ratio were notably lower than their male counterparts (p < 0.05). The ε3/ε3 was the most prevalent among participants, succeeded by ε3/ε4 and ε2/ε3. The least prevalent were ε2/ε4, ε4/ε4, and ε2/ε2 genotypes. The ε3 was predominant, followed by the ε4 and ε2. Individuals with the ε4 allele exhibited significant cognitive impairment, with an especially high prevalence in AD group at 81.8%. The study unveils a pronounced correlation between the ε4 allele and cognitive deficits, implying its potential role in the advancement and severity of cognitive disorders, notably Alzheimer's disease. Cognitive function declines with age in individuals carrying the ε4, and women are more affected by ε4.