scholarly journals Modern methods for the diagnosis of cognitive impairment

2020 ◽  
Vol 24 (1) ◽  
pp. 35-44
Author(s):  
Maryam M. Kurbanova ◽  
Anna A. Galayeva ◽  
Yekaterina V. Stefanovskaya ◽  
Anastasiya A. Suvorkina ◽  
Nurmagomed M. Alikhanov

The review presents modern views on the problem of cognitive impairment, on the need to improve diagnostics at the pre-dementive stage of development of these disorders. The most widely used neuropsychological tests and structural neuroimaging methods for assessing cognitive functions are considered.

2021 ◽  
Vol 79 (4) ◽  
pp. 1575-1587
Author(s):  
Zhouyuan Peng ◽  
Hiroyuki Nishimoto ◽  
Ayae Kinoshita

Background: With the rapid aging of the population, the issue of driving by dementia patients has been causing increasing concern worldwide. Objective: To investigate the driving difficulties faced by senior drivers with cognitive impairment and identify the specific neuropsychological tests that can reflect specific domains of driving maneuvers. Methods: Senior drivers with cognitive impairment were investigated. Neuropsychological tests and a questionnaire on demographic and driving characteristics were administered. Driving simulator tests were used to quantify participants’ driving errors in various domains of driving. Results: Of the 47 participants, 23 current drivers, though they had better cognitive functions than 24 retired drivers, were found to have impaired driving performance in the domains of Reaction, Starting and stopping, Signaling, and Overall (wayfinding and accidents). The parameters of Reaction were significantly related to the diagnosis, and the scores of MMSE, TMT-A, and TMT-B. As regards details of the driving errors, “Sudden braking” was associated with the scores of MMSE (ρ= –0.707, p < 0.01), BDT (ρ= –0.560, p < 0.05), and ADAS (ρ= 0.758, p < 0.01), “Forgetting to use turn signals” with the TMT-B score (ρ= 0.608, p < 0.05), “Centerline crossings” with the scores of MMSE (ρ= –0.582, p < 0.05) and ADAS (ρ= 0.538, p < 0.05), and “Going the wrong way” was correlated with the score of CDT (ρ= –0.624, p < 0.01). Conclusion: Different neuropsychological factors serve as predictors of different specific driving maneuvers segmented from driving performance.


2010 ◽  
Vol 26 (4) ◽  
pp. 229-238 ◽  
Author(s):  
Sahar Ali Farahat ◽  
Nirmeen Adel Kishk

The current work aimed at investigating the cognitive functions impairment among workers of sewer networks due to exposure to hydrogen sulfide (H2S) and the relation of this impairment, if any, to the level of H2S exposure biomarker ‘urinary thiosulfate.’ Besides, the validity of using Mini Mental State Examination (MMSE) as screening test for cognitive impairment among the exposed workers was tested. The work was conducted among 33 sewage network maintenance male workers and a matched unexposed control group (n = 30). The participants were subjected to clinical neurological history, estimation of urinary thiosulfate, and assessment of cognitive dysfunction by using neurophysiological (simple reaction time, P300 test) and neuropsychological tests (Wechsler Memory Scale) and frontal executive functions tests. Clinical neurological history revealed significantly higher neurological symptoms (headache, memory defects, lack of concentration) among exposed workers compared to their controls (p < 0.05). Exposed workers had significantly prolonged simple reaction time and delayed P300 latency and showed poor performance of most of neuropsychological tests. Marked elevation of urinary thiosulfate was observed among the exposed workers (p < 0.001) but this elevation was not correlated with the duration of exposure or any of the other measured parameters. Exposed workers had significantly lower mean value of MMSE scoring than that of the controls (p < 0.001). In conclusion, exposure to H 2S among sewer network workers is associated with cognitive impairment, which can be screened by applying MMSE as a simple rapid test for H 2S occupationally exposed workers.


Author(s):  
Karla Liliana Pérez-Sosa ◽  
Edgar Felipe Lares-Bayona

Alcohol is a toxic substance associated with acute and chronic disorders affecting the Central Nervous System and significantly altering brain function. Objective: To determine the relationship between cognitive impairment and alcohol consumption in university students of the Juárez University of the State of Durango. Methodology: It is a cross-sectional, descriptive, comparative, non-probabilistic study, for convenience. A database was designed on the results obtained in a clinical interview on alcohol consumption and the application of the Montreal Cognitive Assessment (MoCA) test. Contribution: The evaluation of cognitive functions show similar results, the male sex presented a better score in Attention and the female one in Orientation. More involvement was identified in the Deferred Memory functions in both groups. In relation to alcohol consumption, the cognitive functions evaluated show lower levels. The female gender was more evident cognitive impairment in relation to alcohol consumption being statistically significant (p <0.025). Alcohol consumption is a risky behavior that deserves to be recognized by the main actors about neurocognitive effects. Alcohol consumption prevention programs and cognitive diagnostic tools are appropriate strategies to reduce risk behaviors in mental health.


2018 ◽  
Vol 15 (8) ◽  
pp. 751-763 ◽  
Author(s):  
Antonio Martinez-Torteya ◽  
Hugo Gomez-Rueda ◽  
Victor Trevino ◽  
Joshua Farber ◽  
Jose Tamez-Pena ◽  
...  

Background: Diagnosing Alzheimer’s disease (AD) in its earliest stages is important for therapeutic and support planning. Similarly, being able to predict who will convert from mild cognitive impairment (MCI) to AD would have clinical implications. Objectives: The goals of this study were to identify features from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database associated with the conversion from MCI to AD, and to characterize the temporal evolution of that conversion. Methods: We screened the publically available ADNI longitudinal database for subjects with MCI who have developed AD (cases: n=305), and subjects with MCI who have remained stable (controls: n=250). Analyses included 1,827 features from laboratory assays (n=12), quantitative MRI scans (n=1,423), PET studies (n=136), medical histories (n=72), and neuropsychological tests (n=184). Statistical longitudinal models identified features with significant differences in longitudinal behavior between cases and matched controls. A multiple-comparison adjusted log-rank test identified the capacity of the significant predictive features to predict early conversion. Results: 411 features (22.5%) were found to be statistically different between cases and controls at the time of AD diagnosis; 385 features were statistically different at least 6 months prior to diagnosis, and 28 features distinguished early from late conversion, 20 of which were obtained from neuropsychological tests. In addition, 69 features (3.7%) had statistically significant changes prior to AD diagnosis. Conclusion: Our results characterized features associated with disease progression from MCI to AD, and, in addition, the log-rank test identified features which are associated with the risk of early conversion.


2021 ◽  
pp. 1-12
Author(s):  
Rachael A. Lawson ◽  
Caroline H. Williams-Gray ◽  
Marta Camacho ◽  
Gordon W. Duncan ◽  
Tien K. Khoo ◽  
...  

Background: Cognitive impairment is common in Parkinson’s disease (PD), with 80% cumulatively developing dementia (PDD). Objective: We sought to identify tests that are sensitive to change over time above normal ageing so as to refine the neuropsychological tests predictive of PDD. Methods: Participants with newly diagnosed PD (n = 211) and age-matched controls (n = 99) completed a range of clinical and neuropsychological tests as part of the ICICLE-PD study at 18-month intervals over 72 months. Impairments on tests were determined using control means (<1-2SD) and median scores. Mild cognitive impairment (PD-MCI) was classified using 1-2SD below normative values. Linear mixed effects modelling assessed cognitive decline, while Cox regression identified baseline predictors of PDD. Results: At 72 months, 46 (cumulative probability 33.9%) participants had developed PDD; these participants declined at a faster rate in tests of global cognition, verbal fluency, memory and attention (p <  0.05) compared to those who remained dementia-free. Impaired baseline global cognition, visual memory and attention using median cut-offs were the best predictors of early PDD (area under the curve [AUC] = 0.88, p <  0.001) compared to control-generated cut-offs (AUC = 0.76–0.84, p <  0.001) and PD-MCI (AUC] = 0.64–0.81, p <  0.001). Impaired global cognition and semantic fluency were the most useful brief tests employable in a clinical setting (AUC = 0.79, p <  0.001). Conclusion: Verbal fluency, attention and memory were sensitive to change in early PDD and may be suitable tests to measure therapeutic response in future interventions. Impaired global cognition, attention and visual memory were the most accurate predictors for developing a PDD. Future studies could consider adopting these tests for patient clinical trial stratification.


1994 ◽  
Vol 24 (3) ◽  
pp. 229-244 ◽  
Author(s):  
Peter J. Manos ◽  
Rae Wu

Objective: The objective of this study was to evaluate the clinical utility of the ten point clock test in screening for and grading cognitive deficits in medical and surgical patients. Method: The setting was the hospital and clinics of Virginia Mason Medical Center, a tertiary referral center. Consecutive samples of hospitalized patients, and clinic outpatients—with and without a dementia—were administered the ten point clock test as well as a number of other neuropsychological tests and measures of cognitive impairment. Results: Clock scores correlated with neuropsychological test scores and with the mini-mental state examination. They were stable from rater to rater, and from day to day in stable patients. The mean clock score of elderly outpatient controls was 8.5, significantly different from the mean of 5.5 scored by patients with a dementia. A cut off score of seven identified 76 percent of outpatients with dementia and 78 percent of elderly controls. Clock scores correlated well with nurses' ratings of their inpatients' cognitive deficits (Spearman's rs = −0.61). The test was easy to administer, even to hospitalized patients. Conclusions: The ten point clock test is reliable, valid, and useful as a quick screen and grading method for cognitive deficits in medical and surgical patients.


Author(s):  
Angelika Cisek-Woźniak ◽  
Kinga Mruczyk ◽  
Rafał W. Wójciak

Physical activity has an unquestionable impact on broadly understood human health. One interesting issue related to this is the importance of movement on mental health and cognitive functioning. Research shows that regular physical activity improves the cognitive functioning of adults and people with mental disorders. Regular physical activity can be an important and powerful protective factor in cognitive impairment and dementia in the elderly, and exercise is an important non-pharmacological treatment for mild cognitive impairment or neurodegenerative diseases. This study aims to present the impact of physical activity on selected cognitive functions in physically active women over 60 years of age. The research was carried out in a group of 110 generally healthy women from the area of western Poland over 60 years of age, who were divided into four groups based on the intensity of their physical activity. A pedometer (sport watch) and a physical activity diary were used to measure physical activity. Body Mass Index was assessed. Selected cognitive functions were assessed using the MMSE test, motor and psychomotor skills were measured, and Luria’s auditory memory test and recall test, a clock drawing test, and a GDS test were performed. There were statistically significant relationships between the level of physical activity and the effectiveness of cognitive processes. These results show that about 5000 steps a day is enough to see a positive effect on the mental health and cognitive functioning of this group of the elderly population. The women had an average BMI of 28.1 ± 4.7. BMI, indicating an overweight condition (over 30 kg/m2), was observed in 31% of women. The results of this study lead the authors to conclude that physical activity positively influences cognitive function and can be recommended for all seniors who do not have other serious comorbidities that would prevent them from playing sports.


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