The 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 the 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. A two-center study was designed to assess the discriminant validity of tests in the Mindstreams Mild Impairment Battery. Participants were 30 individuals diagnosed with MCI, 29 with mild Alzheimer's 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. Mindstreams outcome parameters across multiple cognitive domains significantly discriminated between MCI and healthy elders 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. Mindstreams 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 elders at high risk for dementia.
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http://dx.doi.org/10.1385/jmn:24:1:033 | DOI Listing |
Hum Brain Mapp
December 2024
Department of Psychology, Northeastern University, Boston, Massachusetts, USA.
Diffusion-weighted imaging (DWI) has been frequently used to examine age-related deterioration of white matter microstructure and its relationship to cognitive decline. However, typical tensor-based analytical approaches are often difficult to interpret due to the challenge of decomposing and (mis)interpreting the impact of crossing fibers within a voxel. We hypothesized that a novel analytical approach capable of resolving fiber-specific changes within each voxel (i.
View Article and Find Full Text PDFBMC Psychol
December 2024
Beijing Infinite Brain Technology Co., Ltd, Beijing, 100022, PR China.
Background: Traditional cognitive assessments, often reliant on paper-and-pencil tests and professional evaluators, suffer from subjectivity and limited result discrimination. This study introduces the Baguan Online Cognitive Assessment System (BOCAS), a tablet-based system that evaluates both general cognitive ability (GCA) and domain-specific functions across six domains: sensory-motor skills, processing speed, sustained attention, working memory, cognitive flexibility, and spatial ability.
Methods: BOCAS was validated with 151 healthy Chinese adults aged 18-40.
J Alzheimers Dis
December 2024
Neurology Unit, Department of Neurosciences, Azienda Ospedaliera Universitaria Integrata, Verona VR, Italy.
Background: Tele-neuropsychology has already been employed in neurocognitive disorders, however, in Italy, the evidence of its psychometric quality and satisfaction is still limited.
Objective: This study aimed to: (1) evaluate the reliability of a standardized battery of neuropsychological screening and domain-specific tests delivered at home via videoconference to a sample of Italian people with cognitive disorders, compared with traditional face-to-face administration; (2) assess the feasibility and satisfaction about remote administration.
Methods: This crossover study enrolled patients with subjective cognitive disorder, mild neurocognitive disorder, or dementia.
J Inherit Metab Dis
January 2025
Division of Digital Health, IBM TJ Watson Research Center, Yorktown Heights, New York, USA.
J Clin Med
November 2024
Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya, 08028 Barcelona, Spain.
: Alzheimer's disease (AD) dementia and mild cognitive impairment (MCI) are currently underdiagnosed in the community, and early detection of cognitive deficits is crucial for timely intervention. FACEmemory, the first completely self-administered online memory test with voice recognition, has been launched as an accessible tool to detect such deficits. This study aims to investigate the neuropsychological associations between FACEmemory subscores and cognitive composites derived from traditional paper-and-pencil neuropsychological tests and to develop an optimal algorithm using FACEmemory data and demographics to discriminate cognitively healthy (CH) individuals from those with MCI.
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