Mini-Mental State Research Articles

Deteriorated thiol-disulphide and oxidized-reduced glutathione status in blood in Alzheimer’s disease

BackgroundAlzheimer’s disease (AD) is a steadily advancing neurodegenerative condition, the occurrence and prevalence of which are on the rise in various populations. Suspected factors contributing to its development encompass the buildup of amyloid β (Aβ) plaques, the formation of neurofibrillary tangles induced by tau proteins, and heightened oxidative stress. In this study, we aimed to evaluate intra-cellular glutathione status and extracellular thiol-disulphide status in patients with AD. MethodsAdult patients (>60 years old) diagnosed with AD based on DSM-IV diagnostic criteria were included in the study. Patients were divided into 3 groups as mild, moderate and severe according to Mini Mental Status Examination (MMSE) and clinical findings. Extracellular thiol-disulfide and intracellular oxidized-reduced glutathione status parameters for patient and control groups were analyzed before and after reduction procedures by using reaction of thiol groups with DTNB. ResultsThe reduced forms of both balances (native thiol (NT) and reduced glutathione (GSH)) were significantly lower in the patient group than the control group (p = 0.031 and <0.001, respectively), while oxidized forms (disulphide (SS) and oxidized glutathione (GSSG)) and SS/NT and GSSG/GSH percent ratios were significantly higher (p < 0.05 for all). The disease duration and oxidative stress were significantly higher in the severe group of AD. There was a shift in intracellular and extracellular thiol balances towards the oxidized side, along with correlations between MMSE and these balances (rho = −0.412 for SS/NT and rho = −0.488 for GSSG/GSH), with GSSG/GSH identified as a significant predictive factor (odds ratio (95 % confidence interval): 1.352 (1.136–1.610) for the moderate group and 1.829 (1.451–2.305) for the severe group. ConclusionsThese findings suggest that blood redox balance is disrupted in AD.

Association of dietary diversity and weight change with cognitive impairment among Chinese elderly: A prospective national cohort study

BackgroundDietary diversity is reported to be beneficial for cognitive function, while the effect may be offset by weight change status. We aimed to examine the association of dietary diversity and weight change with cognitive impairment among older adults. MethodsWe used three waves from 2008 to 2014 of the Chinese Longitudinal Survey of Health and Longevity, which included 16,954 participants for the subsequent screening and analysis. Dietary diversity information was collected from the food frequency questionnaire. Cognitive function was assessed using the Mini Mental State Examination. The relation of dietary diversity and weight change with cognitive impairment was investigated using Cox proportional hazards models and cubic spline regression. ResultsCompared with those reported poor dietary diversity at baseline, participants with good dietary diversity had a 16 % (hazard ratio [HR] = 0.84, 95 % confidence interval [CI]: 0.71–0.99) lower risk of cognitive impairment. The HR and 95 % CI of participants with consistently good dietary diversity from 2008 to 2011 was 0.71 (0.57–0.89) for cognitive impairment compared to those with consistently poor dietary diversity. Compared with the weight stable group, the HRs and 95 % CI for cognitive impairment were 1.34 (1.10–1.64) in weight loss group, and 1.08 (0.88–1.33) in weight gain group. Restricted cubic splines showed the risk of cognitive impairment decreased with higher dietary diversity score or less weight change, though no significant interaction between dietary diversity and weight change was found. LimitationGiven the observational nature of this study, there might be a reverse causation for the observed association. ConclusionEstablishing and maintaining good dietary diversity were associated with a lower risk of cognitive impairment regardless of weight change status, whereas weight loss was associated with increased cognitive impairment risk independently among older Chinese adults.

Can cerebrospinal fluid biomarkers tell us something about financial capacity in Alzheimer's disease patients? Apreliminary study.

Although diagnostic markers in cerebrospinal fluid (CSF) have become arapidly growing research field, they have not as yet been investigated in relation to capacities that are of interest to geriatric psychiatry and neuropsychology, such as financial capacity. The aim of this study was to assess whether CSF biomarkers can predict financial capacity in patients with adiagnosis of major neurocognitive disorder due to Alzheimer's disease (AD). Participants were examined with anumber of neuropsychological tests, with an emphasis on the Mini-Mental State Examination (MMSE), the Geriatric Depression Scale (GDS-15), and the Legal Capacity for Property Law Transactions Assessment Scale (LCPLTAS) and CSF tests. Amyloid βpeptide 1-42 (Aβ42), total tau, and phosphorylated tau were not found to predict financial capacity performance in AD, but MMSE shows astrong positive correlation with LCPLTAS. These preliminary findings indicate that complex cognitive functions, such as financial capacity, may not be directly linked to CSF concentrations of the abovementioned biomarkers. Further studies with larger numbers of patients will be required to assess the reproducibility of these findings and to determine whether this approach can assist not only in diagnosis but also in neuropsychological assessment.

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.

Diagnostic utility of brain MRI volumetry in comparing traumatic brain injury, Alzheimer disease and behavioral variant frontotemporal dementia

BackgroundBrain MRI with volumetric quantification, MRI volumetry, can improve diagnostic delineation of patients with neurocognitive disorders by identifying brain atrophy that may not be evident on visual assessments.ObjectiveTo investigate diagnostic utility of MRI volumetry in traumatic brain injury (TBI), early-onset Alzheimer disease (EOAD), late-onset Alzheimer disease, and behavioral variant frontotemporal dementia (bvFTD).MethodWe utilized 137 participants of TBI (n = 40), EOAD (n = 45), LOAD (n = 32), and bvFTD (n = 20). Participants had 3D T1 brain MRI imaging amendable to MRI volumetry. Scan volumes were analyzed with Neuroreader. One-way ANOVA compared brain volumes across diagnostic groups. Discriminant analysis was done with leave-one-out cross validation on Neuroreader metrics to determine diagnostic delineation across groups.ResultLOAD was the oldest compared to other groups (F = 27.5, p < .001). There were no statistically significant differences in sex (p = .58) with women comprising 54.7% of the entire cohort. EOAD and LOAD had the lowest Mini-Mental State Exam (MMSE) scores compared to TBI (p = .04 for EOAD and p = .01 for LOAD). LOAD had lowest hippocampal volumes (Left Hippocampus F = 13.1, Right Hippocampus F = 7.3, p < .001), low white matter volume in TBI (F = 5.9, p < .001), lower left parietal lobe volume in EOAD (F = 9.4, p < .001), and lower total gray matter volume in bvFTD (F = 32.8, p < .001) and caudate atrophy (F = 1737.5, p < .001). Areas under the curve ranged from 92.3 to 100%, sensitivity between 82.2 and 100%, specificity of 78.1-100%. TBI was the most accurately delineated diagnosis. Predictive features included caudate, frontal, parietal, temporal lobar and total white matter volumes.ConclusionWe identified the diagnostic utility of regional volumetric differences across multiple neurocognitive disorders. Brain MRI volumetry is widely available and can be applied in distinguishing these disorders.

The Minimal assessment Protocol for Cerebral Stroke 2020 (PMIC2020): a multicenter feasibility study in post-stroke inpatient rehabilitation.

In 2008, a Working Group of the Italian Society of Physical and Rehabilitation Medicine (SIMFER) published the first minimum protocol for assessing stroke patients (PMIC) to define functional needs and outcomes. The recent PMIC revision (PMIC2020) introduces a document for all rehabilitation settings, incorporating updated measurement tools. The aim of this study was to investigate the PMIC2020 feasibility and administration time (AT) in post-stroke inpatients and to examine the influence of demographic and clinical variables on AT. Multicenter prospective observational study. Eight Italian rehabilitation centers for post-acute inpatients. Adult patients consecutively admitted to rehabilitation after ischemic/hemorrhagic stroke, reporting the first event or recurrence, with a modified Barthel Index (mBI)<75 points, without cognitive impairment and clinical instability. PMIC2020 was administered at admission (T0) and discharge (T1), recording AT of each section/ tool. A feasibility questionnaire was administered to assessors. Univariate and multivariate analyses were conducted to investigate the effect of demographics and clinical variables on AT. One hundred fifty-one subjects were enrolled at T0 and 139 at T1; the mean±SD AT (seconds) was 1634±401 at T0 and 1087±360 at T1 (P<0.001). National Institute of Health-Stroke Scale and Mini-Mental State Examination required the highest AT. All but two scales had significantly lower AT at T1 (P<0.05). Severe disability (as measured by mBI) was associated with higher AT than either complete or minimal/absent disability. The feasibility questionnaire showed good PMIC2020 appraisal by assessors without relevant critical issues. PMIC2020 was feasible in post-acute inpatient rehabilitation settings. No relevant critical issue was raised by users. Even though more comprehensive than PMIC, PMIC2020 required only slightly more AT (27 minutes at T0 and 18 minutes at T1, on average); more AT was needed to assess patients with severe disability. The study has immediate transferability for the National Health Service, as PMIC2020 can be routinely implemented in clinical practice and research to assess stroke patients' needs and outcomes. The updated measures allow more immediate comparisons with international data on stroke rehabilitation. Future research should investigate the PMIC2020 feasibility in other rehabilitation settings and its relevance in predicting stroke rehabilitation needs and outcomes.

The relative associations of aortic and carotid artery stiffness with CeVD and cognition.

We examined the relative associations of aortic and carotid artery stiffness with cerebrovascular disease (CeVD), cognition, and dementia subtypes in a memory clinic cohort of 272 participants (mean age = 75.4, SD = 6.8). We hypothesized that carotid artery stiffness would have greater effects on outcomes, given its proximate relationship to the brain. Aortic and carotid artery stiffness were assessed with applanation tonometry and carotid ultrasonography, respectively. CeVD markers included white matter hyperintensities (WMH), lacunes, cerebral microbleeds, cortical infarcts, and intracranial stenosis. Cognition was assessed by the Mini Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), and a neuropsychological battery. Multivariable linear regression was conducted to determine associations of arterial stiffness with WMH and cognition, while logistic regression analysed associations with CeVD markers and dementia subtypes. Carotid artery stiffness z-score was associated with WMH, cortical infarcts, vascular cognitive impairment, and MMSE, independent of age, sex, education, vascular risk factors, and aortic stiffness z-score. Although aortic stiffness z-score was independently associated with cortical infarcts, this became non-significant after further adjusting for carotid artery stiffness z-score. We found that carotid artery stiffness had greater effects on CeVD, cognitive function and impairment in memory clinic patients compared to aortic stiffness.

Impact of Cognitive Impairment on Long-Term Outcomes After Transcatheter Aortic Valve Implantation.

Cognitive impairment assessed using the Mini-Mental Status Examination (MMSE) is associated with short-term mortality after transcatheter aortic valve implantation (TAVI). We assessed the long-term prognostic impact of cognitive impairment in patients with severe aortic stenosis post-TAVI. We enrolled 1,057 consecutive patients who underwent TAVI at the Kokura Memorial Hospital and prospectively assessed them using the MMSE. Results showed that 319 (30%) patients had cognitive impairment. Compared with normal cognition, cognitive impairment was associated with an increased risk for 5-year all-cause mortality (55% vs. 39%; P<0.001), cardiovascular mortality (23% vs. 14%; P=0.007), and non-cardiovascular mortality (42% vs. 29%; P<0.001). Multivariable analysis showed that cognitive impairment was independently associated with all-cause mortality (adjusted hazard ratio [aHR] 1.37; 95% confidence interval [CI] 1.10-1.70; P=0.005), and this result was consistent regardless of stratification based on age, sex, body mass index, left ventricular ejection fraction and clinical frailty scale without significant interaction. Patients with MMSE scores <16 had a significantly higher mortality rate compared with patients with MMSE scores >25, 21-25, and 16-20, respectively. Cognitive impairment assessed using MMSE scores is independently associated with an increased risk for 5-year all-cause mortality in patients undergoing TAVI.

Sarcopenia is a predictor for Alzheimer’s continuum and related clinical outcomes

Low body mass index is closely related to a high risk of Alzheimer’s disease (AD) and related biomarkers including amyloid-β (Aβ) deposition. However, the association between sarcopenia and Aβ-confirmed AD remains controversial. Therefore, we investigated the relationship between sarcopenia and the AD continuum. We explored sarcopenia’s association with clinical implications of participants on the AD continuum. We prospectively enrolled 142 participants on the AD continuum (19 with preclinical AD, 96 with mild cognitive impairment due to AD, and 28 with AD dementia) and 58 Aβ-negative cognitively unimpaired participants. Sarcopenia, assessed using dual-energy X-ray absorptiometry and hand grip measurements, was considered a predictor. AD continuum, defined by Aβ deposition on positron emission tomography served as an outcome. Clinical severity in participants on the AD continuum assessed using hippocampal volume, Mini-Mental State Examination (MMSE), Seoul Verbal Learning Test (SVLT), and Clinical Dementia Rating Scale Sum of Boxes Scores (CDR-SOB) were also considered an outcome. Sarcopenia (odds ratio = 4.99, p = 0.004) was associated independently with the AD continuum after controlling for potential confounders. Moreover, sarcopenia was associated with poor downstream imaging markers (decreased hippocampal volume, β = − 0.206, p = 0.020) and clinical outcomes (low MMSE, β = − 1.364, p = 0.025; low SVLT, β = − 1.077, p = 0.025; and high CDR-SOB scores, β = 0.783, p = 0.022) in participants on the AD continuum. Sarcopenia was associated with the AD continuum and poor clinical outcome in individuals with AD continuum. Therefore, our results provide evidence for future studies to confirm whether proper management of sarcopenia can effective strategies are required for sarcopenia management to prevent the AD continuum and its clinical implications.

Slow Gait Speed Predicts Incident Dementia, Mortality, and Long-Term Functional Outcome in Cerebral Small-Vessel Disease.

Gait impairment is observed in patients with small vessel disease (SVD); however, the association between gait function and long-term outcome remains unclear. This study aimed to clarify the predictive value of gait function on incident dementia, survival and functional outcome. Data were derived from a Japanese cohort of patients with SVD. This study included 522 participants who underwent 3-m timed up and go test (TUG), and gait speed, TUG time, was divided into tertiles. Magnetic resonance imaging was used to evaluate severity of white matter hyperintensities, lacunes, and medial temporal atrophy. Primary outcome was dementia. All-cause death and functional outcome by modified Rankin scale at the last visit was also evaluated. The median age was 71 years, and median TUG time was 9.91 s. During follow-up period of 4.8 years, 32 cases of dementia occurred. Cox proportional hazard analysis revealed that slow gait speed (TUG time > 10.88 s) was associated with a significantly higher risk of incident dementia than fast (TUG time < 9.03) and middle (TUG time, 9.04-10.87 s) speeds after adjusting risk factors, Mini-Mental State Examination, SVD severity and brain atrophy (adjusted hazard ratio, 2.73; 95% confidence interval, 1.16-6.42, p = 0.022). Slow speed was also associated with mortality and poor functional outcome compared with other speeds (adjusted odds ratio, 4.19; 95% confidence interval 1.92-9.18, p < 0.001). Gait function was associated with incident dementia, mortality and poor functional outcome independently of cognitive function, brain atrophy, and SVD severity.

Undernutrition, cognitive decline and dementia: The collaborative PROMED-COG pooled cohorts study

Background & aimsUndernutrition may negatively impact cognitive function, but evidence of this relationship is not yet consolidated. Under the “PROtein enriched MEDiterranean diet to combat undernutrition and promote healthy neuroCOGnitive ageing” (PROMED-COG) project, we evaluated the association between undernutrition, and cognitive decline and incident dementia in older adults. MethodsRetrospective data harmonization was performed on three Italian population-based studies: the Italian Longitudinal Study of Ageing (ILSA), the Progetto Veneto Anziani (Pro.V.A.), and the Bollate Eye Study-Follow-Up (BEST-FU). The associations between undernutrition, operationalized using the Global Leadership Initiative on Malnutrition (GLIM) criteria, and decline on the Mini-Mental State Examination (MMSE) or dementia incidence follow-up were evaluated with Cox proportional hazard regression models. ResultsThe pooled cohort comprised 9071 individuals (52% females) aged between 42 and 101 years. The prevalence of undernutrition at the baseline was 14.3%, significantly higher among females (15.4% vs 13%) and in older age, ranging from 3.5% in those aged <60 years to 28.8% in those 85+ years. Undernutrition was associated with both cognitive decline over a median 8.3-year follow-up (Hazard Ratio (HR) 1.20, 95% Confidence Interval (CI) 1.02–1.41, p = 0.028) and incidence of dementia over a median 8.6-year follow-up (HR = 1.57, 95%CI 1.01–2.43, p = 0.046). For cognitive decline, the association with undernutrition was more marked in males than females (HR = 1.36, 95%CI 1.05–1.77, p = 0.019 vs HR = 1.10, 95% CI 0.89–1.36, p = 0.375). ConclusionUndernutrition is prevalent among older people and is associated with an increased risk of experiencing cognitive decline and dementia. The prevention and early identification of undernutrition could be an important nonpharmacologic strategy to counteract neurodegeneration.

The Association Between Distinct Delusional Ideations and Depressive Symptoms in Alzheimer's Disease: A Re-Analysis of CATIE-AD.

Delusional ideations, one of neuropsychiatric symptoms (NPSs), are frequently shown in the long-term progression of Alzheimer's disease (AD), and comorbid with other NPSs including depression or agitation. Despite various types of delusional ideations, the comorbidity between each delusional ideation and depressive symptoms has not been discussed. The present cross-sectional study is aimed at testing the hypothetical mechanism of comorbid pattern in AD. Among 421 patients with AD, we analyzed the dataset of the Clinical Antipsychotic Trials of Intervention Effectiveness-Alzheimer's Disease to compare age, sex, racial type, Mini-Mental State Examination (MMSE) scores, and Neuropsychiatric Inventory (NPI) depression score of between the presence and absence of each delusional ideation (delusion of persecution, theft, jealousy, abandonment, phantom boarder, Capgras syndrome, misidentification of place, or television sign). Next, with the stratification based on MMSE score of < or > = 15 points, we further explored association between delusional ideation and depressive symptom that was found significances in the primary analysis. Among eight subtypes of delusional ideations, depression score was higher in those with persecution delusion or Capgras syndrome. Moreover, the Capgras syndrome was associated with presence of depression in severer global cognitive impairment status. As comorbid NPSs of delusional ideation in AD, depressive severity is associated with specific delusional subtype: persecution delusion and Capgras syndrome. Capgras syndrome may be attributable to severe cognitive impairment in addition to depressive symptom. The consideration of pathogenetic differences in the distinct delusional ideations may be helpful for clinicians to select the treatment strategy.

Cerebral white matter damage in patients with end stage kidney disease associates with cognitive impairment

Abstract Background and hypothesis Damages in brain white matter often occurs in individuals with chronic kidney disease, which might be related to their cognitive decline. This study aims to investigate tract specific white matter damage in patients with end stage renal disease by using fixel based analysis. Methods Images of 31 end stage renal disease patients and 16 normal controls (aged: 61.1 ± 10.4 years; 11 men) were acquired from a 1.5 T MR scanner. The patients were subsequently divided into with normal cognition (N = 17, aged: 66.9 ± 7.2 years; 10 men) and cognitive impairment (N = 14, aged: 72.4 ± 9.4 years; 7 men). Cognitive assessment, neurologic, hematologic and biochemical samples were collected. Fixel-based analysis was used to examine the tract-specific damage within white matter. Differences between groups were evaluated through connectivity-based fixel enhancement and non-parametric permutation testing. Correlation with biomarkers was conducted through general linear model. Significance was determined with familywise error-corrected p-value &amp;lt; 0.05. Results Reduced fixel-based metrics were observed in specific tract located the cerebral peduncle, internal capsule, corpus callosum, fornix, and superior corona radiata in patients when compared to normal controls, indicating a reduction in fiber content. The fibers crossing the corpus callosum and the fornix/stria terminalis are particularly vulnerable sites, which can be associated with the decrease in both Mini-Mental State Examination (R2 ranged between 0.420 and 0.556) and Montreal Cognitive Assessment (R2 ranged between 0.425 and 0.509), as well as the plasma concentration of calcium (R2 ranged between 0.207 and 0.322). The plasma concentration of indoxyl sulfate was associated with the descending tracts from right posterior limb of internal capsule to cerebral peduncle (R2 ranged between 0.262 and 0.335). Conclusions Tract specific white matter damage can be noticed in the patients with end stage renal disease, and can be associated with their cognitive decline.

Acupuncture and Escitalopram for Treating Major Depression Clinical Study (AE-TMDCS): protocol for a factorial randomised controlled trial

IntroductionMajor depressive disorder (MDD), the second leading cause of disability globally, is considered to be associated with a consequent deterioration in the quality of life and can lead to a...

Harmonization of Structural Brain Connectivity through Distribution Matching.

The increasing prevalence of multi-site diffusion-weighted magnetic resonance imaging (dMRI) studies potentially offers enhanced statistical power for investigating brain structure. However, these studies face challenges due to variations in scanner hardware and acquisition protocols. While several methods exist for dMRI data harmonization, few specifically address structural brain connectivity. We introduce a new distribution-matching approach to harmonizing structural brain connectivity across different sites and scanners. We evaluate our method using structural brain connectivity data from two distinct datasets of OASIS-3 and ADNI-2, comparing its performance to the widely used ComBat method. Our approach is meant to align the statistical properties of connectivity data from these two datasets. We examine the impact of harmonization on the correlation of brain connectivity with the Mini-Mental State Examination score and age. Our results demonstrate that our distribution-matching technique more effectively harmonizes structural brain connectivity, often producing stronger and more significant correlations compared to ComBat. Qualitative assessments illustrate the desired distributional alignment of ADNI-2 with OASIS-3, while quantitative evaluations confirm robust performance. This work contributes to the growing field of dMRI harmonization, potentially improving the reliability and comparability of structural connectivity studies that combine data from different sources in neuroscientific and clinical research.

Characteristics of Alzheimer’s Disease and Mild Cognitive Impairment Influenced by the Time of Onset

Introduction: Although the prevalence of Alzheimer’s disease (AD) is higher in older people compared to younger people, dementia has also been documented in younger adults. Although early-onset dementia and late-onset dementia had been considered a single disease in pathological investigations, many studies revealed differences in cognitive and neuroimaging changes between them. We evaluated differences in cognitive and neuroimaging changes among the following groups: individuals with early-onset AD (EOAD), late-onset AD (LOAD), early-onset mild cognitive impairment (EOMCI), or late-onset MCI (LOMCI), and healthy controls (HCs). Methods: Patients underwent both a 1.5 Tesla magnetic resonance imaging scan and the Mini-Mental State Examination (MMSE). Differences in regional gray matter volumes and MMSE subscales were investigated among the five diagnostic groups. Results: Compared to the EOAD group, the LOAD group had significantly higher scores on orientation in place. Compared to the LOMCI patients, the EOMCI patients achieved significantly higher recall scores. The LOAD and LOMC groups showed significant volume reductions in bilateral medial temporal regions compared to the HCs. The EOAD and EOMCI groups did not show significant atrophy of the medial temporal region compared to the HC group. Conclusions: The hippocampal volume and memory were preserved in the patients with EOMCI or EOAD compared to those with LOMCI or LOAD. These findings may indicate that the distinct and differing patterns of neuropsychological changes between EOAD and LOAD are also common in MCI, which is intermediate between normal cognition and AD.

Investigating Noun and Verb Naming in Behavioral Variant of Frontotemporal Dementia and Non-Patients Persian-Speaking

Introduction: Due to the prevalence of cognitive disorders, such as the behavioral variant of frontotemporal dementia (bvFTD) and the consequences that these disorders follow, early diagnosis and awareness of the deficiencies of these people in the cognitive and language areas is essential. Given that language is dependent on culture, examining the linguistic characteristics of such patients in different languages can provide valuable findings. Therefore, this study compares noun and verb naming abilities in individuals with bvFTD and non-patients Persian-speaking. Materials and Methods: In this cross-sectional study, 3 cognitive tests, including frontal assessment battery (FAB), Montreal cognitive assessment, and mini-mental state examination (MMSE), along with 2 noun naming and verb naming tests were performed on 15 patients with bvFTD and 30 homogeneous non-patient individuals. Results: The bvFTD group had significantly different scores for both noun and verb naming compared to the non-patient group (P&lt;0.05). Meanwhile, the bvFTD group was more impaired in naming verbs than nouns, with the largest difference between groups in the verb naming task. Conclusion: the results showed that bvFTD patients have poorer noun and verb naming abilities than non-patients. In particular, in verb naming, they showed more deficits than nouns. One possible explanation is that the processing of verbs is more complicated than nouns and involves a more complex neural system and cognitive processes than noun processing. Another possibility is that verbs rely more heavily on frontal and temporal regions of the brain, which are typically affected by bvFTD.

Prevalence of cognitive impairment and its associated factors in middle-aged and elderly people in Anhui Province, China: An observational study.

To understand the prevalence of cognitive impairment (CI) in middle-aged and elderly individuals in Anhui Province and to develop a CI risk prediction model. From May to June 2022, a multistage, stratified cluster-sampling method was used to select 3200 middle-aged and elderly people over 45 years old in Anhui Province for a questionnaire survey, and the Chinese version of the Mini-Mental State Examination (MMSE) was used to assess cognitive function. SPSS 25.0 was used for univariate and multivariate analyses, and R software was used to establish and validate the nomogram. A total of 3059 valid questionnaires were included, of which 384 were from participants who were diagnosed with CI, and the prevalence rate was 12.6%. Multivariate logistic analysis showed that female sex, advanced age, family history, etc., were closely related to the occurrence of CI. The area under curve (AUC) values in the modeling and validation groups were 0.845 (95% CI: 0.822-0.868) and 0.868 (95% CI: 0.835-0.902), respectively, indicating that the predictive ability of the model was good. The Hosmer-Lemeshow test suggested that the model had good goodness-of-fit, and the decision-curve evaluation nomogram had a high benefit within the threshold, which had a certain clinical importance. The prevalence rate of CI among middle-aged and elderly individuals in Anhui Province was 12.6%. Female sex, elderly age, family history, low educational status, current smoking status, sleep disorders, hypertension, stroke, and diabetes were shown to be risk factors for CI, while exercise was shown to be a protective factor.

Urinary disorders in patients diagnosed with organic brain pathology

Introduction. This study is relevant due to the high prevalence of organic brain pathology and the negative influence of urination disorders on the quality of life.Objective. To analyse the impaired function of lower urinary tracts in patients with organic brain pathology.Materials &amp; methods. We analysed 607 patients with severe organic brain pathology (105 had traumatic spinal cord injury (TSCI) and 457 had consequences of acute stroke (AS)). We performed clinical urological examinations. During the survey, attention was paid to the presence of urinary tract pathology at the examining time and anamnesis. Structural changes in the urinary tract were objectively assessed. We objectively assessed structural changes in urinary tracts including prostate adenoma in men, insufficiency of pelvic floor muscles in women and strictures of the urethra or ureters. The degree of the spastic syndrome was assessed with the Ashworth Scale. The neurourological examination included cystometry with the measurement of bladder volume and post-void residual urine. The cognitive status of the patients was assessed with the MMSE (Mini-Mental State Examination) questionnaire. The correlation analysis between the degree of spastic syndrome measured with the Ashworth Scale and urination disorders was performed with Spearman rank correlation.Results. All patients had neurogenic dysfunction of the lower urinary tract. A combination of bladder retention and emptying disorders was found in 62 men older than 45yo with benign prostate hyperplasia (10,2% of all cases). An impaired accumulation function in history was found in 45 women older than 45yo (7,4% of all observations). The level of spasticity was 3 or 4 points on the Ashworth Scale in patients with TSCI and 2 to 4 points in those with AS. The analysis of correlations between the degree of spasticity and urination disorders showed a moderate relationship (r = 0,4) in patients with TSCI and a medium relationship (r = 0.65) in patients with AS.Conclusion. Neurogenic dysfunction of the lower urinary tract accompanies patients with severe organic brain pathology throughout their life and requires adequate correction.

THE EFFECTS OF MULTICOMPONENT EXERCISE ON MILD COGNITIVE IMPAIRMENT IN ELDERLY POPULATION: A RANDOMIZED CONTROL TRIAL

Objective: To determine the effectiveness of multicomponent exercise on mild cognitive impairment in older adults. Materials and Methods: This randomized control trial was conducted at the Department of Rehabilitation at Pakistan Railway General Hospital, Rawalpindi. Fifty-eight older persons with mild cognition impairment were allocated randomly into 2 groups. The participants of the experimental group (n=29) performed multicomponent exercises two times a week for 55-60 minutes. In the control group (n=29), participants performed 20 minutes of treadmill walking thrice a week. Both groups performed these exercises for 6 weeks. Pre and post assessment was carried out at baseline and after 6 weeks of intervention for the following test: Mini-mental state examination (MMSE), Montreal Cognitive Assessment (MoCA), Trail-making test A (TMT-A) and Trail making test-B (TMT-B). Data was analyzed using SPSS 21. Results: The overall mean age of study participants was 62.74±74 years. Within-group analysis for MMSE, MoCA, TMT-A, and TMT-B significantly improved (p &lt;0.05) in the experimental group in comparison to the control group. Between-group analysis showed that all parameters were significantly improved (P &lt;0.05) at post-intervention assessment. Conclusion: Multicomponent exercise training was found to be effective in the elderly with mild cognitive impairment. A combination of exercise can enhance cognitive function, help in the prevention of the decline in cognitive function, and reduce the risk for dementia. Keywords: Mild Cognitive Impairment, Cognition, Trail Making Test, Dementia Trial Registration number: NCT03938051