Maze learning: Reliability and equivalence of alternate pathways

Cognitive Testing to Identify Children With ADHD Who Do and Do Not Respond to Methylphenidate

OBJECTIVE

To explore the utility of cognitive measures for predicting response of children and adolescents to methylphenidate (MPH).

METHOD

Participants from the International Study to Predict Optimized Treatment-in ADHD (iSPOT-A) completed a cognitive test battery prior to receiving 6 weeks of MPH. The responder criterion was a 25% reduction in ADHD-Rating Scale-IV scores. Receiver Operator Characteristics (ROC) classified non-responders from responders with maximal sensitivity and specificity.

RESULTS

Overall, 62% of participants responded to MPH. Response rates for ROC-identified groups ranged from 18% to 85%. Non-responders showed compromised cognition related to switching of attention, sustained attention, planning, and impulsivity. One group of responders were 10 years of age or older and had impaired switching of attention and impulsivity; a second group had enhanced switching of attention, normal or higher Continuous Performance Task (CPT) scores, and above average scores on digit span.

CONCLUSION

Cognitive tests may provide a simple, low-cost tool for treatment planning for children and adolescents with ADHD.

Visuospatial Learning in Traumatic Brain Injury: An Examination of Impairments using the Computerised Austin Maze Task

An important aspect of cognitive functioning that is often impaired following traumatic brain injury (TBI) is visuospatial learning and memory. The Austin Maze task is a measure of visuospatial learning that has a long history in both clinical neuropsychological practice and research, particularly in individuals with TBI. The aim of this study was to evaluate visuospatial learning deficits following TBI using a new computerised version of the Austin Maze task. Twenty-eight individuals with moderate-to-severe TBI were compared to 28 healthy controls on this task, together with alternative neuropsychological measures, including the WAIS-III Digit Symbol and Digit Span subtests, the Trail Making Test, WMS-III Logical Memory, and Rey Osterrieth Complex Figure Test. The results demonstrated that TBI individuals performed significantly more poorly on the Austin Maze task than control participants. The Austin Maze task also demonstrated good convergent and divergent validity with the alternative neuropsychological measures. Thus, the computerised version of the Austin Maze appears to be a sensitive measure that can detect visuospatial learning impairments in individuals with moderate-to-severe TBI. The new computerised version of the task offers much promise in that it is more accessible and easier to administer than the conventional form of the test.

Exploring What the Austin Maze Measures: A Comparison Across Conventional and Computer Versions

The Austin Maze is a neuropsychological assessment tool used to measure cognitive function. A computerised version of the tool has recently been developed and shown to be equivalent to the conventional version in terms of performance. However, controversy remains regarding which specific cognitive constructs the conventional and computer versions of the Austin Maze purport to measure. The aim of this study was to investigate which cognitive constructs are associated with Austin Maze performance and whether these constructs remain equivalent across conventional and computer versions. Sixty-three healthy people completed both conventional and computerised versions of the Austin Maze in addition to a number of established measures of planning, error utilisation, working memory, visuospatial ability and visuospatial memory. Results from a series of regression analyses demonstrated that both versions of the Austin Maze were predominantly associated with visuospatial ability and visuospatial memory. No executive measures, including those of planning, error utilisation or working memory, significantly contributed to any Austin Maze performances. This study complements previous research and supports equivalency of the conventional and computer versions of the Austin Maze.

Comparing Performance of Young Adults on a Computer-based Version of the Austin Maze and the Conventional Form of the Test

The Austin Maze has declined in use in both clinical and research contexts due to difficulties in accessing the conventional button-box form of the test. Computer-based versions of the Austin Maze offer a potential means of making the test more accessible, but as yet there is limited evidence regarding the equivalence of computer and conventional versions of the Austin Maze. The present study compared performance on a computer version of the Austin Maze by Bray and McDonald with performance on the traditional button maze in 63 participants aged 18–27 years. The results showed no differences between the computer and conventional versions in terms of mean scores and distributions, and performances on the two versions were significantly correlated. Examination of correlates found no relationship between Austin Maze performance and years of education or age for either version of the Austin Maze performance. Intellectual function was modestly associated with performance on the conventional version but not the computer version. Overall, these findings suggest that scores on the Bray and McDonald computer version of the Austin Maze produces comparable scores to the conventional form of the test and can be interpreted using existing normative data.

The effects of a poor night sleep on mood, cognitive, autonomic and electrophysiological measures

Sustained sleep problems such as insomnia have been shown to be detrimental to health. This study examines the less understood, finer grained effects of a single bad night's sleep on mood, cognitive, autonomic and electrophysiological functions. We assessed 338 individuals who had no symptoms of a clinical sleep disorder. Of these, 226 individuals had six or more hours sleep and 112 individuals had less than six hours sleep prior to an assessment of mood, cognition, autonomic and electrophysiological functioning. Individuals in the relatively "bad night" sleep group had higher depression, anxiety, and stress scores and reported significantly poorer overall wellbeing. They made more errors on simple cognitive tasks while more complex task components were unaffected. They also had an increase in heart rate and EEG alpha and beta power at rest. Participants in this study had no symptoms of a clinical sleep disorder, however the effects of a poor night sleep on measures of mood, cognition, autonomic and electrophysiological function were similar, but less severe than those reported in insomnia patients. The integrative profile of measures reported here point to an increase in physiological arousal and sub-optimal cognition, following a poor night's sleep.

Confirmatory factor analysis of the Wechsler Memory Scale-Revised in a sample of clients with alcohol dependency

Previous analyses of the Wechsler Memory Scale-Revised (WMS-R; Wechsler, 1987) have reported one-, two-, and three-factor solutions and raised questions about the validity of the visual memory subtests. These various findings may stem in part from different methods of analysis, and from the study of different participant samples. To address these issues, we analysed data from the WMS-R and a spatial maze test administered to 154 participants with a history of alcohol dependence. Results from confirmatory factor analysis supported the interpretation of three factors underlying the WMS-R subtests and the spatial maze score in this sample, namely, attention-concentration, immediate memory, and delayed recall. This result held despite the inclusion of the maze score which is a well-validated measure of visuo-spatial memory.