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358 result(s) for "Trail Making Test"
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Regression-based normative data and equivalent scores for Trail Making Test (TMT): an updated Italian normative study
ObjectivesThe Trail Making Test (TMT) is widely used to assess psychomotor speed and attentional set-shifting. Since the regression-based norms and equivalent scores (ESs) for the TMT Italian version trace back to more than 20 years ago, we aimed at providing updated normative data for basic (Part A and Part B) and derived (Score B-A and Score B/A) TMT scores collected in a larger sample with an extended age range.MethodsThree hundred fifty-five Italian volunteers stratified for sex (166 men), age decades (age range 20–90 years), and educational level (from primary school to university) completed the TMT and the Montreal Cognitive Assessment (MoCA).ResultsMultiple linear regression analyses revealed that age and educational level significantly influenced performances on basic and derived TMT scores except for B/A, which was associated only with the educational level. From the derived linear equations, correction grids for basic and derived TMT raw scores were developed. Inferential cutoff scores, estimated using a non-parametric technique, and ES were computed. Basic and derived TMT scores showed a good test–retest reliability (all rs ≥ 0.50); Part B (rs = − 0.48, p < 0.001) and Score B-A (rs = − 0.49, p < 0.001) were moderately associated with MoCA total score.ConclusionsThis study confirms the association of basic and derived TMT raw scores with sociodemographic variables and provides updated correction grids and ES for assessing the attentional/executive functions in clinical and research fields.
Acute Effects of 30 Minutes Resistance and Aerobic Exercise on Cognition in a High School Sample
Purpose: The purpose of this study was to determine differences in cognition between acute bouts of resistance exercise, aerobic exercise, and a nonexercise control in an untrained youth sample. Method: Ninety-four participants performed 30 min of aerobic exercise, resistance exercise, or nonexercise separated by 7 days each in a randomized crossover design. After each exercise intervention, participants were assessed using 2 cognitive tests. The Dot, Word, and Color elements of the Stroop Test (Victoria version) and Parts A and B of the Trail-Making Test were used to measure cognition. Results: Acute resistance and aerobic exercise resulted in similar improvements over nonexercise in all forms of the Stroop Test. Acute aerobic exercise led to improved performance over nonexercise and resistance exercise in Part B of the Trail-Making Test. Neither exercise intervention showed significant changes in time to complete Part A of the Trail-Making Test. Boys outperformed girls on the Stroop Dot and Color Test following acute aerobic exercise, in the Stroop Dot, Word, and Color Test following acute resistance exercise, and in the Stroop Color Test and Trail-Making Test Part B following nonexercise. Conclusions: Both acute resistance and aerobic exercise increased measures of cognition over a nonexercise control in untrained high school youth. These findings suggest the merits of acute resistance exercise as an alternative or complement to aerobic activity for educators aiming to increase youth physical activity and cognitive function concurrently.
C-Reactive Protein as a Possible Predictor of Trail-Making Performance in Individuals with Psychiatric Disorders
Cognitive dysfunction is a prominent feature of psychiatric disorders. Studies have shown that systemic low-grade inflammation is crucial in the development of cognitive deficits across psychiatric disorders. The aim of this study was to further examine the role of inflammation and inflammatory mediators in cognitive function in psychiatric disorders. This study included 364 inpatients (53% females) with International Classification of Diseases (ICD)-10 F3 (affective disorders) and F4 (neurotic, stress-related, and somatoform disorders) diagnoses. The mean age was 52 years (22 to 69 years) and the median body mass index was 27.6. Cognitive function was assessed with the Color–Word Interference Test after Stroop and the Trail-Making Test A/B. Multiple linear regression models were calculated to assess the predictive value of C-reactive protein and the kynurenine/tryptophan ratio on cognitive function controlling for age, sex, education, premorbid verbal intelligence quotient, illness duration, depressive symptoms, and obesity-related parameters (e.g., body mass index, high-density lipoprotein). Our data confirm that in patients with psychiatric disorders, C-reactive protein serum concentration is a relevant and important predictor of Trail-Making Test B performance, measuring cognitive flexibility. The effect size of this association did not change much after adding clinical and metabolic variables into the regression model. The kynurenine/tryptophan ratio was not related to cognitive test scores. The involvement of C-reactive protein as a peripheral inflammatory marker in cognitive flexibility and psychomotor processing speed in psychiatric illness can be concluded.
Naturalistic smartphone keyboard typing reflects processing speed and executive function
Objective The increase in smartphone usage has enabled the possibility of more accessible ways to conduct neuropsychological evaluations. The objective of this study was to determine the feasibility of using smartphone typing dynamics with mood scores to supplement cognitive assessment through trail making tests. Methods Using a custom‐built keyboard, naturalistic keypress dynamics were unobtrusively recorded in individuals with bipolar disorder (n = 11) and nonbipolar controls (n = 8) on an Android smartphone. Keypresses were matched to digital trail making tests part B (dTMT‐B) administered daily in two periods and weekly mood assessments. Following comparison of dTMT‐Bs to the pencil‐and‐paper equivalent, longitudinal mixed‐effects models were used to analyze daily dTMT‐B performance as a function of typing and mood. Results Comparison of the first dTMT‐B to paper TMT‐B showed adequate reliability (intraclass correlations = 0.74). In our model, we observed that participants who typed slower took longer to complete dTMT‐B (b = 0.189, p < .001). This trend was also seen in individual fluctuations in typing speed and dTMT‐B performance (b = 0.032, p = .004). Moreover, participants who were more depressed completed the dTMT‐B slower than less depressed participants (b = 0.189, p < .001). A practice effect was observed for the dTMT‐Bs. Conclusion Typing speed in combination with depression scores has the potential to infer aspects of cognition (visual attention, processing speed, and task switching) in people's natural environment to complement formal in‐person neuropsychological assessments that commonly include the trail making test. This study explored the feasibility of using smartphone typing dynamics with mood scores to supplement cognitive assessment through trail making tests. Naturalistic keypress dynamics were unobtrusively collected from individuals with bipolar disorder and nonbipolar controls using a custom‐built keyboard and compared to serial administrations of the trail making test part B. Typing speed in combination with depression scores significantly predicted trail making test time and may have the potential to be used to assess cognition in real time to complement in‐person assessments.
Effects of extended abstinence on cognitive functions in tramadol‐dependent patients: A cohort study
Background Some pieces of the literature report impaired cognitive functioning in tramadol dependence. Whether extended abstinence improves cognitive functioning or not is not well studied. Aim We aimed to measure the change in cognitive functioning following complete abstinence among individuals with tramadol dependence. Methods Eighty‐three male tramadol‐dependent (TD) and 57 matched healthy controls participated in this study. Cognitive functions were assessed using: The Trail making test (TMT), Wechsler Memory Scale‐Revised (WMS‐R), and Wechsler Adult Intelligence Scale (WAIS). Patients were assessed in the first week immediately after the end of the in‐patient treatment program (T1), and after six months of sustained abstinence (T2). Results At T1, the TD group showed deficits on all tested cognitive parameters (visual attention, task switching, working memory, visual memory, verbal memory, verbal knowledge, Verbal IQ, Performance IQ, and Full‐Scale IQ) in comparison to the control group. At T2, significant improvements had occurred in all the tested parameters except performance IQ. The cognitive performance of the abstinent individuals at T2 was comparable to the control group for the verbal subsets of WMS‐R, Verbal IQ, Performance IQ, and Full‐Scale IQ. Nevertheless, it was still worse than the control group in TMT, and all other WMS subsets. Conclusion tramadol dependence has negative effects on cognitive performance, which improves with extended abstinence. This research aimed to measure the change in the cognitive functioning following complete abstinence among individuals with tramadol dependence. The results showed that tramadol dependence has negative effects on cognitive performance, which improves with extended abstinence.
Autonomic nervous alterations associated with daily level of fatigue
Background Fatigue is a common symptom in both sick and healthy people. We examined autonomic nervous alterations associated with fatigue to clarify the mechanisms underlying fatigue. Methods The study group consisted of 19 healthy participants who performed a 2-back test for 30 min as a fatigue-inducing mental task session. Before and after the session, they completed the advanced trail making test (ATMT) for 30 min for mental fatigue evaluation, subjective scales to measure fatigue sensation, and underwent electrocardiography to allow assessment of autonomic nerve activities. Results After the fatigue-inducing task, the total error counts on the ATMT tended to increase ( P = 0.076); the ATMT for total trial counts ( P = 0.001), the subjective level of fatigue ( P < 0.001), and the % low-frequency power (%LF) ( P = 0.035) increased significantly; and the % high-frequency power (%HF) decreased compared with before the fatigue-inducing task although this did not reach the statistical significance ( P = 0.170). Although LF measured in absolute units did not change significantly before and after the fatigue-inducing task ( P = 0.771), and HF measured in absolute units decreased after the task ( P = 0.020). The %LF and LF/HF ratio were positively associated with the daily level of fatigue evaluated using Chalder's fatigue scale. In addition, %HF was negatively associated with the fatigue score. Conclusions Increased sympathetic activity and decreased parasympathetic activity may be characteristic features of both acute and daily levels of fatigue. Our findings provide new perspectives on the mechanisms underlying fatigue.
Does a combined intervention program of repetitive transcranial magnetic stimulation and intensive occupational therapy affect cognitive function in patients with post-stroke upper limb hemiparesis
Low-frequency repetitive transcranial magnetic stimulation(LF-r TMS) to the contralesional hemisphere and intensive occupational therapy(i OT) have been shown to contribute to a significant improvement in upper limb hemiparesis in patients with chronic stroke. However, the effect of the combined intervention program of LF-r TMS and i OT on cognitive function is unknown. We retrospectively investigated whether the combined treatment influence patient's Trail-Making Test part B(TMT-B) performance, which is a group of easy and inexpensive neuropsychological tests that evaluate several cognitive functions. Twenty-five patients received 11 sessions of LF-r TMS to the contralesional hemisphere and 2 sessions of i OT per day over 15 successive days. Patients with right- and left-sided hemiparesis demonstrated significant improvements in upper limb motor function following the combined intervention program. Only patients with right-sided hemiparesis exhibited improved TMT-B performance following the combined intervention program, and there was a significant negative correlation between Fugl-Meyer Assessment scale total score change and TMT-B performance. The results indicate the possibility that LF-r TMS to the contralesional hemisphere combined with i OT improves the upper limb motor function and cognitive function of patients with right-sided hemiparesis. However, further studies are necessary to elucidate the mechanism of improved cognitive function.
Trail Making Test A improves performance characteristics of the International HIV Dementia Scale to identify symptomatic HAND
Although HIV-associated dementia (HAD) occurs in less than 5 % of individuals with access to combination antiretroviral therapy, rates of milder forms of HIV-associated neurocognitive disorder (HAND) are much higher. We sought to define an optimal cut point for the International HIV Dementia Scale (IHDS) in Thailand for the identification of symptomatic HAND, defined as both HAD and mild neurocognitive disorder. We then sought to determine if adding a simple test from a larger neuropsychological battery could improve the performance characteristics for identifying symptomatic HAND. In this study, subjects comprising 75 seropositive adults in Bangkok, Thailand, completed neuropsychological tests and underwent a full neurological assessment. HAND diagnoses were determined by consensus conference using the 2007 Frascati criteria, blinded to the IHDS results. The optimal IHDS cut point was determined by receiver operating characteristic analysis with cross-validation. Individual neuropsychological tests were then evaluated and combined with the IHDS to test performance characteristics. The IHDS was poor at detecting symptomatic HAND at the optimized cut point of ≤10 (sensitivity, 53.3 %; specificity, 89.8 %). Trail Making Test A was most effective in improving performance characteristics when combined with the IHDS, with net sensitivity of 86 % and specificity of 79 %. In this setting, the IHDS performed poorly in identifying symptomatic HAND, but was substantially improved by the addition of Trail Making Test A, which typically requires less than 2 min to complete. This combination should be validated in a larger setting since it may address the critical need for HAND screening instruments in international settings.
Variability of Trail Making Test, Symbol Digit Test and Line Trait Test in normal people. A normative study taking into account age-dependent decline and sociobiological variables
The influence of sociobiological variables and aging on the variability of the Trail Making Tests (TMT), the Symbol Digit Substituting Test (SDT), and the Line Trait Test (LTT) in the general healthy populations are not well known. Even less is known about the reliability at re-testing. This study aimed at determining the reference range of these tests, taking into account sociobiological variables and age, and the re-testing effect. We studied 300 healthy subjects from 20 to 80 years of age. The sample was derived by the pooling of two samples stratified by age and sex: a randomized sample of 161 subjects collected from the city registers of Padova, and a convenience sample of 139 subjects collected in 20 towns (mainly rural) of Northern Italy. After normalization, data were assayed for the influence of age, education, job, and gender. Age was found to be a significant independent predictor for all the tests, education for all but the LTT, job only for the TMT-B and a geometrical version of the same test (TMT-G) which was proved to be highly correlated with the TMT-B (r=0.80, p<0.01). Job and the interaction age x education level influenced the difference TMT-B minus TMT-A. From the predicting equations, the normative data and the formulas to obtain Z scores for each test were derived. Reliability was lowest for LTT errors (CV=67%), highest for the SDT (13%), whereas the TMT obtained intermediate values (22-33%, depending on the test). This study provides the most reliable normative data range for the TMT, SDT and LTT to date because it considers important demographic variables such as age, education and job.