Glen M. Doniger

Validity of a novel computerized cognitive battery for mild cognitive impairment.

BackgroundThe NeuroTrax Mindstreams computerized cognitive assessment system was designed for widespread clinical and research use in detecting mild cognitive impairment (MCI). However, the capability of Mindstreams tests to discriminate elderly with MCI from those who are cognitively healthy has yet to be evaluated. Moreover, the comparability between these tests and traditional neuropsychological tests in detecting MCI has not been examined.MethodsA 2-center study was designed to assess discriminant validity of tests in the Mindstreams Mild Impairment Battery. Participants were 30 individuals diagnosed with MCI, 29 with mild Alzheimers disease (AD), and 39 healthy elderly. Testing was with the Mindstreams battery and traditional neuropsychological tests. Receiver operating characteristic (ROC) analysis was used to examine the ability of Mindstreams and traditional measures to discriminate those with MCI from cognitively healthy elderly. Between-group comparisons were made (Mann-Whitney U test) between MCI and healthy elderly and between MCI and mild AD groups.ResultsMindstreams outcome parameters across multiple cognitive domains significantly discriminated among MCI and healthy elderly with considerable effect sizes (p < 0.05). Measures of memory, executive function, visual spatial skills, and verbal fluency discriminated best, and discriminability was at least comparable to that of traditional neuropsychological tests in these domains.ConclusionsMindstreams tests are effective in detecting MCI, providing a comprehensive profile of cognitive function. Further, the enhanced precision and ease of use of these computerized tests make the NeuroTrax system a valuable clinical tool in the identification of elderly at high risk for dementia.

A Common Cognitive Profile in Elderly Fallers and in Patients with Parkinson’s Disease: The Prominence of Impaired Executive Function and Attention

The present study examined the cognitive profile of elderly fallers relative to healthy elderly controls and patients with Parkinsons disease (PD), a positive-control group, using a computerized battery. Fallers performed more poorly than controls on executive function, attention, and motor skills, but performed comparably on memory, information processing and the Mini-Mental State Examination. A similar profile was evident for PD patients. However, unlike PD patients, fallers were abnormally inconsistent in their reaction times. These findings indicate that elderly fallers may have a unique cognitive processing deficit (i.e., variability of response timing) and underscore the importance of executive function and attention as potential targets for fall risk screening and interventions.

Computerized cognitive testing battery identifies mild cognitive impairment and mild dementia even in the presence of depressive symptoms

Cognitive and depressive symptoms co-occur, complicating detection of mild cognitive impairment (MCI) and early dementia. In this study, discriminant validity of a novel computerized cognitive battery for MCI detection was evaluated after covariation for depressive symptom severity. In addition to the computerized battery, participants at two sites received the 30-item self-administered Geriatric Depression Scale (GDS; n = 72); those at two other centers received the observer-administered Cornell Scale for Depression in Dementia (CSDD; n = 88). In both cohorts, a Global Cognitive Score and memory, executive function, visual spatial, and verbal index scores discriminated among cognitively healthy, MCI, and mild dementia groups after covariation for GDS or CSDD, respectively (p < 0.05). Thus, the computerized battery for detection of mild impairment is robust to comorbid depressive symptoms, supporting its clinical utility in identifying neurodegenerative disease even in elderly with depression.

Prolonged response times characterize cognitive performance in multiple sclerosis.

Cognitive impairment is amongst the main symptoms affecting multiple sclerosis (MS) and should be comprehensively and accurately assessed. To study the added value of a computerized neuropsychological battery enabling the measurement of response times in the cognitive domains, 58 randomly selected MS patients and 71 age‐, gender‐ and education‐matched healthy subjects were evaluated. Construct and discriminant validity were assessed for the standard Neuropsychological Screening Battery for Multiple Sclerosis (NSBMS) and the Mindstreams® Computerized Cognitive Battery (MCCB). The MCCB demonstrated good construct validity in comparison with the NSBMS in memory (P < 0.001), executive function (P < 0.001), attention (P < 0.05) and information processing (P < 0.05) domains. In addition, it showed high discriminant validity most prominently for executive function, attention and motor skills (P < 0.001). Response times measured by the computerized battery were longer in all cognitive domains and varied with cognitive load, demonstrating that response time deficits in MS are associated with particular task demands. We conclude that in MS prolonged response times on a range of cognitive tasks signify abnormal conduction within demyelinative tracts.

Validity of the Mindstreams Computerized Cognitive Battery for Mild Cognitive Impairment

This article, published as an invited review in the special ISOA issue of the journal, was first published as an original article in BMC Geriatrics: Dwolatzky T, Whitehead V, Doniger GM, Simon ES, Schweiger A, Jaffe D, Chertkow H. Validity of a novel computerized cognitive battery for mild cognitive impairment. BMC Geriatrics, 3, 4–16, 2003. J Mol Neurosci (2008) 35:251 DOI 10.1007/s12031-007-9031-9

Modeling of cognitive impairment by disease duration in multiple sclerosis: a cross-sectional study.

Background/Aims Large-scale population studies measuring rates and dynamics of cognitive decline in multiple sclerosis (MS) are lacking. In the current cross-sectional study we evaluated the patterns of cognitive impairment in MS patients with disease duration of up to 30 years. Methods 1,500 patients with MS were assessed by a computerized cognitive battery measuring verbal and non-verbal memory, executive function, visual spatial perception, verbal function, attention, information processing speed and motor skills. Cognitive impairment was defined as below one standard deviation (SD) and severe cognitive impairment as below 2SD for age and education matched healthy population norms. Results Cognitive performance in our cohort was poorer than healthy population norms. The most frequently impaired domains were information processing speed and executive function. MS patients with secondary-progressive disease course performed poorly compared with clinically isolated syndrome, relapsing-remitting and primary progressive MS patients. By the fifth year from disease onset, 20.9% of patients performed below the 1SD cutoff for impairment, p = 0.005, and 6.0% performed below the 2SD cutoff for severe cognitive impairment, p = 0.002. By 10 years from onset 29.3% and 9.0% of patients performed below the 1SD and 2SD cutoffs, respectively, p = 0.0001. Regression modeling suggested that cognitive impairment may precede MS onset by 1.2 years. Conclusions The rates of cognitive impairment in this large sample of MS patients were lower than previously reported and severe cognitive impairment was evident only in a relatively small group of patients. Cognitive impairment differed significantly from expected normal distribution only at five years from onset, suggesting the existence of a therapeutic window during which patients may benefit from interventions to maintain cognitive health.

Practicality of a computerized system for cognitive assessment in the elderly

Early detection and diagnosis are critical to dementia care. However, many early cases remain undiagnosed as a result of the impracticality of neuropsychological testing, particularly in primary care. Mindstreams is an office‐based computerized system for measuring cognitive function in multiple domains, with demonstrated validity, test‐retest reliability, and sensitivity to treatment effects. This study evaluated its feasibility for assessment of the elderly.

Comprehensive computerized assessment of cognitive sequelae of a complete 12-16 hour fast.

Food deprivation has been shown to deleteriously affect human cognition, but findings are equivocal, and few studies have examined several cognitive domains. In this study, the authors used computerized testing to describe the profile of shifts in cognition attributable to short-term religious fasting. Multiple cognitive domains were evaluated at midday and late afternoon following complete abstention from eating and drinking beginning at midnight. Cross-domain, fasting-related deficits were found for tasks requiring perception of spatial relations. Fasting-related information processing deficits were found for response time but not accuracy for test levels of intermediate difficulty. Time-of-day effects often reflected poorer afternoon performance. These findings provide a detailed profile of cognitive consequences of food deprivation, affected by time of day, task demands, and type of outcome.

A Novel Multidomain Computerized Cognitive Assessment for Attention-Deficit Hyperactivity Disorder: Evidence for Widespread and Circumscribed Cognitive Deficits

Multidomain assessment may enhance the diagnosis of cognitive impairment in children with attention-deficit hyperactivity disorder (ADHD). A set of novel Web-enabled computerized tests has recently been shown to be valid for identifying mild cognitive impairment and characterizing the cognitive profile associated with various disorders. It was anticipated that these tests would be well suited for use in children with ADHD. The authors tested this idea in a pilot study of 15 children (12 males, 3 females; mean age, 11 years 10 months; range, 9-15 years) with ADHD and 15 age-, education-, and gender-matched controls. The profile of cognitive impairment in ADHD children off methylphenidate across 6 cognitive domains (memory, executive function, visual-spatial skills, verbal function, attention, and motor skills) was described relative to controls. The effect of treatment with methylphenidate was examined by comparing the ADHD children on methylphenidate and on placebo (administered in a double-blind randomized fashion) relative to controls and by comparing the ADHD children on methylphenidate relative to placebo. Significant impairment in ADHD was evident in memory, visual-spatial, verbal, and attention domains, and near-significant impairment was observed in executive function and motor skills. On methylphenidate but not placebo, performance was comparable to controls in immediate verbal memory, psychomotor accuracy, visual-spatial, verbal rhyming, and overall battery performance. Significant improvement with administration of methylphenidate relative to placebo was evident for psychomotor accuracy, verbal rhyming, and overall battery performance. Hence, on the limited basis of this pilot study, the set of computerized tests studied appears to be useful for measuring cognitive function in ADHD; however, additional studies are needed to confirm this.

Adjustment of Cognitive Scores with a Co-Normed Estimate of Premorbid Intelligence: Implementation Using Mindstreams Computerized Testing

Neuropsychological assessment is critically dependent upon comparison to a standard normative database. While generally appropriate for individuals of near-average intelligence, high-intelligence individuals may be erroneously scored as unimpaired and low-intelligence individuals as impaired on cognitive measures. The current paper describes an approach for minimizing such misclassifications that is standardized and practical for clinical use. A computerized test of nonverbal reasoning co-normed with cognitive measures is used for automatic adjustment of normalized cognitive scores. This premorbid estimate showed good construct validity, and adjustment raised cognitive scores for low-intelligence individuals, and lowered cognitive scores for high-intelligence individuals similarly across demographic (age, education, computer experience) and clinical (cognitively healthy, mild cognitive impairment, dementia) subgroups. Adjustment was typically up to three normalized units for scores on the premorbid estimate of ±1 SD and 6 normalized units for scores of ±2 SD. The present approach shows promise as a practical solution for assessment of high- and low-intelligence individuals.