ABSTRACT
In this article we review studies in which Automated Neuropsychological Assessment Metrics (ANAM) measures were used to screen for impairment in various clinical populations. These clinical groups include patients with multiple sclerosis, systemic lupus erythematosus, Parkinson's disease, Alzheimer's dementia, acquired brain injury, and migraine headache. Data are also presented from a group of outpatient referrals unselected with respect to clinical condition. Findings support the use of ANAM as a screening procedure for identifying the impaired patient.
Subject(s)
Cognition Disorders/diagnosis , Diagnosis, Computer-Assisted/statistics & numerical data , Neuropsychological Tests/statistics & numerical data , Software/statistics & numerical data , Brain Injuries/diagnosis , Brain Injuries/psychology , Cognition Disorders/psychology , Humans , Lupus Erythematosus, Systemic/diagnosis , Lupus Erythematosus, Systemic/psychology , Mass Screening/statistics & numerical data , Migraine Disorders/diagnosis , Migraine Disorders/psychology , Multiple Sclerosis/diagnosis , Multiple Sclerosis/psychology , Parkinson Disease/diagnosis , Parkinson Disease/psychology , Psychometrics/statistics & numerical data , Reproducibility of Results , Risk FactorsABSTRACT
ANAM measures were based on procedures used in both clinical and performance assessment. This paper reviews data from studies designed to delineate specific neurocognitive functions assessed by more commonly used ANAM measures. Data are brought together from both exploratory and confirmatory analyses. Current findings support the use of these measures for assessing aspects of attention, processing efficiency, and working memory. Recommendations for further research include the need for larger samples and the inclusion of specific marker variables.
Subject(s)
Cognition Disorders/diagnosis , Diagnosis, Computer-Assisted/statistics & numerical data , Models, Statistical , Neuropsychological Tests/statistics & numerical data , Software/statistics & numerical data , Humans , Mathematical Computing , Psychometrics/statistics & numerical data , Reproducibility of ResultsABSTRACT
The Spaceflight Cognitive Assessment Tool for Windows (WinSCAT) was developed by an integrated product team as a tool to support medical operations at NASA Johnson Space Center and as way to monitor the neurocognitive status of space crews. It is based on 20 yr of experience in performance and cognitive testing within the U.S. Department of Defense. As a result, WinSCAT development has benefited from diverse efforts supporting its technical reliability and validation. The rationale, background, and development of WinSCAT are described, research supporting its use is summarized, and recommendations are made for its continued development.
