short, computerized cogstate-based screening procedure Search Results


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CogState Ltd short, computerized cogstate-based screening procedure
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Note: Box plots representing performances on <t>OCL</t> accuracy separately by biomarker defined groups show the interquartile range (box), median (horizontal solid line within each box) and the extent of outlier performances (vertical lines extending above and below each box) in each of the sOBJ and ∆OBJ methods. Dashed line (---) denotes the conventional cut-off used (≤ −1 z score for sOBJ and ∆OBJ-WSD; <10th percentile slope for ∆OBJ-LR and ∆OBJ-LME methods). Individuals in all biomarker based groups with performances below this line are identified as decliners based on these cut-offs. A = amyloid, T = tau, sOBJ = subtle <t>objective</t> <t>cognitive</t> impairment at baseline based on OCL accuracy age-corrected z-score derived from Cogstate norms. ∆OBJ = subtle objective cognitive decline since baseline assessment. WSD = within subjects standard deviation z-score based on Cogstate norms. LR = Linear regression model; <10%ile slope is equivalent to a < −0.0199 annualized change on OCL accuracy raw score (arcsine transformed). LME = linear mixed effects model; <10%ile slope is equivalent to a < 0.0162 annualized change on OCL accuracy raw score (arcsine transformed). <10%ile slope cutoffs were derived from the cognitively unimpaired reference sample.
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An intention-to-treat GEE analysis examining the effects of vortioxetine ( n = 73) versus placebo ( n = 74) on how cognitive function (combined <t>DSST</t> z-score) impacts health-related quality of life (WHO-5 total score) in an 8-week trial involving participants with PCC. There was a significant effect of time with both groups, exhibiting significant improvement in WHO-5 total score across treatment weeks ( p < 0.001). Moreover, a significant group effect (p = 0.047), treatment by time interaction effect ( p = 0.012), and treatment by time by combined DSST z-score interaction effect ( p = 0.004) was observed. Depicted is the least square (LS) mean (standard error of mean [SEM]) change in WHO-5 from baseline to endpoint using an independent covariance matrix with time as a categorical variable, adjusted for the type of cognitive test (Pen/Paper vs. <t>Online</t> <t>CogState</t> Version).
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Image Search Results


Note: Box plots representing performances on OCL accuracy separately by biomarker defined groups show the interquartile range (box), median (horizontal solid line within each box) and the extent of outlier performances (vertical lines extending above and below each box) in each of the sOBJ and ∆OBJ methods. Dashed line (---) denotes the conventional cut-off used (≤ −1 z score for sOBJ and ∆OBJ-WSD; <10th percentile slope for ∆OBJ-LR and ∆OBJ-LME methods). Individuals in all biomarker based groups with performances below this line are identified as decliners based on these cut-offs. A = amyloid, T = tau, sOBJ = subtle objective cognitive impairment at baseline based on OCL accuracy age-corrected z-score derived from Cogstate norms. ∆OBJ = subtle objective cognitive decline since baseline assessment. WSD = within subjects standard deviation z-score based on Cogstate norms. LR = Linear regression model; <10%ile slope is equivalent to a < −0.0199 annualized change on OCL accuracy raw score (arcsine transformed). LME = linear mixed effects model; <10%ile slope is equivalent to a < 0.0162 annualized change on OCL accuracy raw score (arcsine transformed). <10%ile slope cutoffs were derived from the cognitively unimpaired reference sample.

Journal: Journal of Alzheimer's disease : JAD

Article Title: A comparison of cross-sectional and longitudinal methods of defining objective subtle cognitive decline in preclinical Alzheimer’s disease based on Cogstate One Card Learning accuracy performance

doi: 10.3233/JAD-210251

Figure Lengend Snippet: Note: Box plots representing performances on OCL accuracy separately by biomarker defined groups show the interquartile range (box), median (horizontal solid line within each box) and the extent of outlier performances (vertical lines extending above and below each box) in each of the sOBJ and ∆OBJ methods. Dashed line (---) denotes the conventional cut-off used (≤ −1 z score for sOBJ and ∆OBJ-WSD; <10th percentile slope for ∆OBJ-LR and ∆OBJ-LME methods). Individuals in all biomarker based groups with performances below this line are identified as decliners based on these cut-offs. A = amyloid, T = tau, sOBJ = subtle objective cognitive impairment at baseline based on OCL accuracy age-corrected z-score derived from Cogstate norms. ∆OBJ = subtle objective cognitive decline since baseline assessment. WSD = within subjects standard deviation z-score based on Cogstate norms. LR = Linear regression model; <10%ile slope is equivalent to a < −0.0199 annualized change on OCL accuracy raw score (arcsine transformed). LME = linear mixed effects model; <10%ile slope is equivalent to a < 0.0162 annualized change on OCL accuracy raw score (arcsine transformed). <10%ile slope cutoffs were derived from the cognitively unimpaired reference sample.

Article Snippet: This study compared different approaches to detecting subtle cognitive decline based on Cogstate OCL performance.

Techniques: Biomarker Discovery, Derivative Assay, Standard Deviation, Transformation Assay

An intention-to-treat GEE analysis examining the effects of vortioxetine ( n = 73) versus placebo ( n = 74) on how cognitive function (combined DSST z-score) impacts health-related quality of life (WHO-5 total score) in an 8-week trial involving participants with PCC. There was a significant effect of time with both groups, exhibiting significant improvement in WHO-5 total score across treatment weeks ( p < 0.001). Moreover, a significant group effect (p = 0.047), treatment by time interaction effect ( p = 0.012), and treatment by time by combined DSST z-score interaction effect ( p = 0.004) was observed. Depicted is the least square (LS) mean (standard error of mean [SEM]) change in WHO-5 from baseline to endpoint using an independent covariance matrix with time as a categorical variable, adjusted for the type of cognitive test (Pen/Paper vs. Online CogState Version).

Journal: medRxiv

Article Title: The Impact of Cognitive Function on Health-Related Quality of Life in Persons with Post-COVID-19 Condition: A Randomized Controlled Trial on Vortioxetine

doi: 10.1101/2024.03.18.24304375

Figure Lengend Snippet: An intention-to-treat GEE analysis examining the effects of vortioxetine ( n = 73) versus placebo ( n = 74) on how cognitive function (combined DSST z-score) impacts health-related quality of life (WHO-5 total score) in an 8-week trial involving participants with PCC. There was a significant effect of time with both groups, exhibiting significant improvement in WHO-5 total score across treatment weeks ( p < 0.001). Moreover, a significant group effect (p = 0.047), treatment by time interaction effect ( p = 0.012), and treatment by time by combined DSST z-score interaction effect ( p = 0.004) was observed. Depicted is the least square (LS) mean (standard error of mean [SEM]) change in WHO-5 from baseline to endpoint using an independent covariance matrix with time as a categorical variable, adjusted for the type of cognitive test (Pen/Paper vs. Online CogState Version).

Article Snippet: If they completed both Online CogState and Pen/Paper DSST, the combined DSST scores were based on participant’s Online CogState DSST.

Techniques:

Commonly Used Neuropsychological and Interview-based Tests for Assessing Cognitive Function. a

Journal: Canadian Journal of Psychiatry. Revue Canadienne de Psychiatrie

Article Title: Strategies for Achieving Better Cognitive Health in Individuals with Schizophrenia Spectrum: A Focus on the Canadian Landscape: Stratégies pour atteindre une meilleure santé cognitive chez les personnes souffrant du spectre de la schizophrénie : un regard sur le paysage canadien

doi: 10.1177/07067437241261928

Figure Lengend Snippet: Commonly Used Neuropsychological and Interview-based Tests for Assessing Cognitive Function. a

Article Snippet: CogState , Computerized performance-based measure , Objective , Processing speed, verbal learning, visual learning, working memory, reasoning/problem solving, social cognition.

Techniques: Battery, Control