Matches in SemOpenAlex for { <https://semopenalex.org/work/W2897182089> ?p ?o ?g. }
Showing items 1 to 78 of
78
with 100 items per page.
- W2897182089 abstract "Due to our aging population, the prevalence of Alzheimer's Disease (AD) has significantly increased, leading to critical issues for the nation's healthcare system. Methods to identify individuals’ risk for cognitive change are essential. One approach is computer-based cognitive testing that allows structured testing that is easy to administer and score, can be used in local community centers or doctors’ offices, and offers the ability for fine-grained measurement of performance (e.g., reaction times and accuracy). Diffusion modeling scoring procedures are under development to increase screening accuracy by including both reaction time and accuracy measures simultaneously. The Michigan Alzheimer's Disease Center (MADC) has been conducting research into the utility of diffusion modeling using computerized screening measures, including the CogState Battery. The current study used diffusion modelling to evaluate test performance from 215 older volunteers (144 healthy controls, 53 amnestic Mild Cognitive Impairment (MCI), and 18 probable AD participants) using two, forced-choice (yes/no) Cogstate subtests, representing learning (One Card Learning, OCL) and working memory (One Back, ONB). ROC curves were created to evaluate the sensitivity and specificity of using these indices to differentiate clinical diagnoses by consensus. In standard calculations, OCL accuracy and ONB speed appear the most sensitive and specific measures to differentiate healthy participants from MCI (AUC = .72 each) and MCI from probable AD (AUC = .92 and .89, respectively). Diffusion modeling suggests that OCL Drift Rate (DR; reflecting cognitive processing efficiency), is the factor driving these findings (AUC = .72 and .92, respectively). In differentiating healthy controls from patients with probable AD using standard analyses, the variability in learning performance (AUC = .91) and working memory accuracy (AUC = .94) appear best at differentiating the groups, while diffusion modeling again suggests that learning drift rate differentiates these groups with superior accuracy (AUC = .97). Results are currently underway to evaluate whether diffusion modeling accuracy is superior to traditional analyses. Though overall learning and working memory can accurately differentiate healthy elderly, mild cognitive impairment, and probable Alzheimer's disease, learning efficiency measured with diffusion modeling highlights the importance of fine-grained analysis of cognitive test performance." @default.
- W2897182089 created "2018-10-26" @default.
- W2897182089 creator A5006736739 @default.
- W2897182089 creator A5016361796 @default.
- W2897182089 creator A5019750902 @default.
- W2897182089 creator A5021979900 @default.
- W2897182089 creator A5055180300 @default.
- W2897182089 creator A5059589164 @default.
- W2897182089 creator A5062148828 @default.
- W2897182089 creator A5071616141 @default.
- W2897182089 creator A5078344359 @default.
- W2897182089 creator A5084484832 @default.
- W2897182089 date "2018-07-01" @default.
- W2897182089 modified "2023-10-02" @default.
- W2897182089 title "P1‐331: DIFFUSION MODELING TO EVALUATE THE UTILITY OF COGSTATE IN DIFFERENTIATING NORMAL ELDERLY, MILD COGNITIVE IMPAIRMENT, AND PROBABLE ALZHEIMER'S DISEASE" @default.
- W2897182089 doi "https://doi.org/10.1016/j.jalz.2018.06.338" @default.
- W2897182089 hasPublicationYear "2018" @default.
- W2897182089 type Work @default.
- W2897182089 sameAs 2897182089 @default.
- W2897182089 citedByCount "0" @default.
- W2897182089 crossrefType "journal-article" @default.
- W2897182089 hasAuthorship W2897182089A5006736739 @default.
- W2897182089 hasAuthorship W2897182089A5016361796 @default.
- W2897182089 hasAuthorship W2897182089A5019750902 @default.
- W2897182089 hasAuthorship W2897182089A5021979900 @default.
- W2897182089 hasAuthorship W2897182089A5055180300 @default.
- W2897182089 hasAuthorship W2897182089A5059589164 @default.
- W2897182089 hasAuthorship W2897182089A5062148828 @default.
- W2897182089 hasAuthorship W2897182089A5071616141 @default.
- W2897182089 hasAuthorship W2897182089A5078344359 @default.
- W2897182089 hasAuthorship W2897182089A5084484832 @default.
- W2897182089 hasBestOaLocation W28971820892 @default.
- W2897182089 hasConcept C118552586 @default.
- W2897182089 hasConcept C142724271 @default.
- W2897182089 hasConcept C15744967 @default.
- W2897182089 hasConcept C169900460 @default.
- W2897182089 hasConcept C2779134260 @default.
- W2897182089 hasConcept C2779483572 @default.
- W2897182089 hasConcept C2908647359 @default.
- W2897182089 hasConcept C2984863031 @default.
- W2897182089 hasConcept C2984915365 @default.
- W2897182089 hasConcept C534262118 @default.
- W2897182089 hasConcept C548259974 @default.
- W2897182089 hasConcept C71924100 @default.
- W2897182089 hasConcept C99454951 @default.
- W2897182089 hasConceptScore W2897182089C118552586 @default.
- W2897182089 hasConceptScore W2897182089C142724271 @default.
- W2897182089 hasConceptScore W2897182089C15744967 @default.
- W2897182089 hasConceptScore W2897182089C169900460 @default.
- W2897182089 hasConceptScore W2897182089C2779134260 @default.
- W2897182089 hasConceptScore W2897182089C2779483572 @default.
- W2897182089 hasConceptScore W2897182089C2908647359 @default.
- W2897182089 hasConceptScore W2897182089C2984863031 @default.
- W2897182089 hasConceptScore W2897182089C2984915365 @default.
- W2897182089 hasConceptScore W2897182089C534262118 @default.
- W2897182089 hasConceptScore W2897182089C548259974 @default.
- W2897182089 hasConceptScore W2897182089C71924100 @default.
- W2897182089 hasConceptScore W2897182089C99454951 @default.
- W2897182089 hasIssue "7S_Part_7" @default.
- W2897182089 hasLocation W28971820891 @default.
- W2897182089 hasLocation W28971820892 @default.
- W2897182089 hasOpenAccess W2897182089 @default.
- W2897182089 hasPrimaryLocation W28971820891 @default.
- W2897182089 hasRelatedWork W2045365104 @default.
- W2897182089 hasRelatedWork W2206382777 @default.
- W2897182089 hasRelatedWork W2232661144 @default.
- W2897182089 hasRelatedWork W2434654188 @default.
- W2897182089 hasRelatedWork W2748952813 @default.
- W2897182089 hasRelatedWork W2899084033 @default.
- W2897182089 hasRelatedWork W2975812749 @default.
- W2897182089 hasRelatedWork W3113538650 @default.
- W2897182089 hasRelatedWork W4220723174 @default.
- W2897182089 hasRelatedWork W4321599477 @default.
- W2897182089 hasVolume "14" @default.
- W2897182089 isParatext "false" @default.
- W2897182089 isRetracted "false" @default.
- W2897182089 magId "2897182089" @default.
- W2897182089 workType "article" @default.