Problem-solving deficits in alcoholics: evidence from the California Card Sorting Test.

Introduction: This study focuses on the cognitive impairment in patients with bipolar disorder and also the distribution of cognitive flexibility and problem-solving by degree of education, chronicity, and episode of patient is in at the time of evaluation.Methods: This was a cross sectional descriptive study with purposive sampling method. The population was the Harmony in Diversity Group in Surabaya, Indonesia. Twenty-two patients agreed to be subjects and each of them finished the Wisconsin Card Sorting Test (WCST) to measure cognitive flexibility and the Tower of London (TOL) to measure problem-solving. Results: The WCST score are below normal for 90.9% of the patients. Higher cognitive flexibility is found in patients with bachelor’s degree and euthymic patients, while lower cognitive flexibility is found in patients in depression episode, manic episode, and mixed episode. No patients could finish the TOL within the minimum required steps. Better problem-solving is found in patients in manic episode and euthymic patients while lower problem-solving is found in mixed episode and depressive episode.Conclusion: The cognitive flexibility and problem-solving in patients with bipolar disorder are lower than the normal cut off. The type of episode and chronicity are contributing factors. Euthymic patients tend to have better cognitive flexibility and manic patients tend to have better problem-solving ability.

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The Role of Shifting, Inhibition and Working Memory in Older Adults' Performance in the Wisconsin Card Sorting Test

PsycEXTRA Dataset ◽

10.1037/e512682013-588 ◽

2007 ◽

Author(s):

Nadia Gamboz ◽

Erika Borella ◽

Maria Antonella Brandimonte

Keyword(s):

Older Adults ◽

Working Memory ◽

Wisconsin Card Sorting Test ◽

Card Sorting ◽

Wisconsin Card Sorting ◽

Sorting Test

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Dopaminergic Genes Polymorphisms and Prefrontal Cortex Efficiency Among Obese People - Whether Gender is a Differentiating Factor?

Current Molecular Medicine ◽

10.2174/1566524019666190424143653 ◽

2019 ◽

Vol 19 (6) ◽

pp. 405-418

Author(s):

Maciej Bieliński ◽

Natalia Lesiewska ◽

Roman Junik ◽

Anna Kamińska ◽

Andrzej Tretyn ◽

...

Keyword(s):

Prefrontal Cortex ◽

Executive Functions ◽

Tandem Repeats ◽

Wisconsin Card Sorting Test ◽

Variable Number ◽

Card Sorting ◽

Obese People ◽

Perseverative Errors ◽

Wisconsin Card Sorting ◽

Sorting Test

Background:Obesity is a chronic condition associated with poorer cognitive functioning. Wisconsin Card Sorting Test (WCST) is a useful tool for evaluating executive functions. In this study, we assessed the association between dopaminergic gene polymorphisms: DAT1 (SLC6A3), COMTVal158Met, DRD4 (48-bp variable number of tandem repeats - VNTR) and WCST parameters to investigate the functions of the frontal lobes in obese individuals.Objective:To find the significant correlations between polymorphisms of DAT1, COMTVal158Met, DRD4 and executive functions in obese subjects.Methods:The analysis of the frequency of individual alleles was performed in 248 obese patients (179 women, 69 men). Evaluation of the prefrontal cortex function (operating memory and executive functions) was measured with the Wisconsin Card Sorting Test (WCST). Separate analyzes were performed in age subgroups to determine different activities and regulation of genes in younger and older participants.Results:Scores of WCST parameters were different in the subgroups of women and men and in the age subgroups. Regarding the COMT gene, patients with A/A and G/A polymorphisms showed significantly better WCST results in WCST_P, WCST_CC and WCST_1st. Regarding DAT1 men with L/L and L/S made less non-perseverative errors, which was statistically significant. In DRD4, significantly better WCST_1st results were found only in older women with S allele.Conclusion:Obtained results indicate the involvement of dopaminergic transmission in the regulation of prefrontal cortex function. Data analysis indicates that prefrontal cortex function may ensue, from different elements such as genetic factors, metabolic aspects of obesity, and hormonal activity (estrogen).

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