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  1. Feroz FS, Leicht G, Steinmann S, Andreou C, Mulert C
    Brain Topogr, 2017 Jan;30(1):30-45.
    PMID: 27659288 DOI: 10.1007/s10548-016-0521-3
    Growing evidence from neuroimaging studies suggest that emotional and cognitive processes are interrelated. Anatomical key structures in this context are the dorsal and rostral-ventral anterior cingulate cortex (dACC and rvACC). However, up to now, the time course of activations within these regions during emotion-cognition interactions has not been disentangled. In the present study, we used event-related potentials (ERP) and standardized low-resolution electromagnetic tomography (sLORETA) region of interest (ROI) source localization analyses to explore the time course of neural activations within the dACC and rvACC using a modified emotional Stroop paradigm. ERP components related to Stroop conflict (N200, N450 and late negativity) were analyzed. The time course of brain activations in the dACC and rvACC was strikingly different with more pronounced initial responses in the rvACC followed by increased dACC activity mainly at the late negativity window. Moreover, emotional valence modulated the earlier N450 stage within the rvACC region with higher neural activations in the positive compared to the negative and neutral conditions. Emotional arousal modulated the late negativity stage; firstly in the significant arousal × congruence ERP effect and then the significant higher current density in the low arousal condition within the dACC. Using sLORETA source localization, substantial differences in the activation time courses in the dACC and rvACC could be found during the emotional Stroop task. We suggest that during late negativity, within the dACC, emotional arousal modulated the processing of response conflict, reflected in the correlation between the ex-Gaussian µ and the current density in the dACC.
    Matched MeSH terms: Stroop Test*
  2. Chang, Teo Yong, Nasir Yusoff, Begum, Tahamina
    ASEAN Journal of Psychiatry, 2015;16(1):75-83.
    MyJurnal
    Objective: Literatures on factors influencing performance of the Stroop interference have been elusive on coping styles. Past investigations of coping influence on Stroop test have been indirect and inconclusive due to variability of multidimensional coping models and application of different Stroop test. The concept of constricted versus flexible or broad cognitive style have linked personality and coping styles to Stroop performance. The objective of this study was to determine the associations of coping styles with Stroop resistance towards interference (Stroop RI) and subsequently determine the predictors of Stroop performance. Methods: This was a cross-sectional community research design study with purposive sampling. In this study, the self-administered Brief COPE inventory questionnaires and Stroop Test were performed among 205 undergraduate medical students. Results: Findings revealed that behavioural disengagement (r=-0.361), dysfunctional coping (r=-0.355), self-blame (r = 0.222), and substance abuse (r = -0.173) showed negative correlation and proven strong association with Stroop RI. Further multiple regression analyses identified behavioural disengagement (R2 = 0.13), and dysfunctional coping (R2 = 0.024) as significant predictors for interference. Conclusion: Coping styles have implication on Stroop test exhibited in varied cognitive styles. Integrating coping styles factor on Stroop test has glimpsed the future direction of other neuropsychological assessment batteries on the importance of profiling individualistic baseline norms. ASEAN Journal of Psychiatry, Vol. 16 (1): January – June 2015: XX XX.
    Matched MeSH terms: Stroop Test
  3. Riby LM, Lai Teik Ong D, Azmie NBM, Ooi EL, Regina C, Yeo EKW, et al.
    Nutr Res, 2017 Dec;48:65-75.
    PMID: 29246282 DOI: 10.1016/j.nutres.2017.10.011
    Behavioral flexibility (BF) performance is influenced by both psychological and physiological factors. Recent evidence suggests that impulsivity and blood glucose can affect executive function, of which BF is a subdomain. Here, we hypothesized that impulsivity, fasting blood glucose (FBG), glucose changes (ie, glucoregulation) from postprandial blood glucose (PBG) following the intake of a 15-g glucose beverage could account for variability in BF performance. The Stroop Color-Word Test and the Wisconsin Card Sorting Test (WCST) were used as measures of BF, and the Barratt Impulsiveness Scale (BIS-11) to quantify participants' impulsivity. In Study 1, neither impulsivity nor FBG could predict performance on the Stroop or the WCST. In Study 2, we tested whether blood glucose levels following the intake of a sugary drink, and absolute changes in glucose levels following the intake of the glucose beverage could better predict BF. Results showed that impulsivity and the difference in blood glucose between time 1 (postprandial) and time 2, but not blood glucose levels at time 2 per se could account for variation in performance on the WCST but not on the Stroop task. More specifically, lower impulsivity scores on the BIS-11, and smaller differences in blood glucose levels from time 1 to time 2 predicted a decrease in the number of total and perseverative errors on the WCST. Our results show that measures of impulsivity and glucoregulation can be used to predict BF. Importantly our data extend the work on glucose and cognition to a clinically relevant domain of cognition.
    Matched MeSH terms: Stroop Test
  4. Lau H, Shahar S, Mohamad M, Rajab NF, Yahya HM, Din NC, et al.
    BMC Complement Med Ther, 2020 Oct 19;20(1):315.
    PMID: 33076878 DOI: 10.1186/s12906-020-03092-2
    BACKGROUND: Persicaria minor extract exhibits antioxidant and anti-inflammatory properties and has potential effects on cognitive function and mood. However, the effects of P.minor on brain activation and biomarkers have not been studied among older adults. This multicentre, randomized, double-blinded, placebo-controlled study aimed to investigate the effect of 6 months P.minor extract supplement (Biokesum®) on cognition, mood, biomarkers, and brain activation among older adults with Mild Cognitive Impairment (MCI).

    METHOD: A total of 36 Malaysian community-dwelling older adults with MCI (60-75-year-old) were randomized into Biokesum® (n = 18) and placebo group (n = 18). Each subject consumed one capsule of Biokesum® (250 mg/capsule) or placebo (maltodextrin, 280 mg/capsule) twice daily for 6 months. Cognitive function and mood were assessed at baseline, 3rd, and 6th-month using neuropsychological tests (MMSE, Digit Span, RAVLT, Digit Symbol, and Visual Reproduction) and Profile of Mood State (POMS) questionnaire. Blood lipid profile, fasting blood glucose, and biomarkers (MDA, LPO, COX-2, iNOS, and BDNF) were measured at baseline and 6th month. By the end of the intervention, there were 30 compliers (Biokesum®: N = 15; Placebo: N = 15) and 6 dropouts. For brain activation assessment, 15 subsamples (Biokesum®: N = 8; Placebo: N = 7) completed N-back and Stroop tasks during fMRI scanning at baseline and 6th month. The dorsolateral prefrontal cortex (Brodmann's area 9 and 46) was identified as a region of interest (ROI) for brain activation analysis using SPM software.

    RESULTS: Two-way mixed ANOVA analysis showed significant improvements in Visual Reproduction II (p = 0.012, partial η2 = 0.470), tension (p = 0.042, partial η2 = 0.147), anger (p = 0.010, partial η2 = 0.207), confusion (p = 0.041, partial η2 = 0.148), total negative subscales (p = 0.043, partial η2 = 0.145), BDNF (p = 0.020, partial η2 = 0.179) and triglyceride (p = 0.029, partial η2 = 0.237) following 6 months of Biokesum® supplementation. Preliminary finding also demonstrated significant improvement at 0-back task-induced right DLPFC activation (p = 0.028, partial η2 = 0.652) among subsamples in Biokesum® group. No adverse events were reported at the end of the study.

    CONCLUSION: Six months Biokesum® supplementation potentially improved visual memory, negative mood, BDNF, and triglyceride levels among older adults with MCI. Significant findings on brain activation at the right DPLFC must be considered as preliminary.

    TRIAL REGISTRATION: Retrospectively registered on 30th August 2019 [ ISRC TN12417552 ].

    Matched MeSH terms: Stroop Test
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