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behavioral pattern separation task-object (bpso) lure discrimination index (CogState Ltd)

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CogState Ltd behavioral pattern separation task-object (bpso) lure discrimination index

C3 practice effects. (A) C3 score changes from initial to repeat assessments. Colored lines depict scores for an individual subject. Black lines indicate the mean score change for those who declined from initial to repeat assessments ( n = 1341) and for those who improved from initial to repeat assessments ( n = 2800). (B) Relation between initial performance and practice effects after controlling for age, sex, education, race, and ethnicity. (C) Association between tau and C3 practice effects. Participants were first stratified into 5 quartiles based on initial C3 performance. By examining stratified groups (i.e., restricting the range of baseline values), we removed the negative association between initial performance and practice effects. Associations between tau and C3 practice effects for each stratified group after adjusting for demographic variables were examined (left column). Despite the reduced power in the stratified groups, the beta weights are similar to those calculated from all participants after adjusting for demographics and initial performance (right column). A−, normal amyloid; A+, abnormal amyloid; <t>BPSO,</t> behavioral pattern <t>separation</t> task‐object; C3, computerized cognitive composite; FNAME, Face Name Associative Memory Examination; OCL, One Card Learning.

Behavioral Pattern Separation Task Object (Bpso) Lure Discrimination Index, supplied by CogState Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/bpsos/behavioral+pattern+separation+of+objects/pmc10026103-115-7-37
Average 90 stars, based on 1 article reviews

behavioral pattern separation task-object (bpso) lure discrimination index - by Bioz Stars, 2026-11

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1) Product Images from "Computerized cognitive practice effects in relation to amyloid and tau in preclinical Alzheimer's disease: Results from a multi‐site cohort"

Article Title: Computerized cognitive practice effects in relation to amyloid and tau in preclinical Alzheimer's disease: Results from a multi‐site cohort

Journal: Alzheimer's & Dementia : Diagnosis, Assessment & Disease Monitoring

doi: 10.1002/dad2.12414

Figure Legend Snippet: C3 practice effects. (A) C3 score changes from initial to repeat assessments. Colored lines depict scores for an individual subject. Black lines indicate the mean score change for those who declined from initial to repeat assessments ( n = 1341) and for those who improved from initial to repeat assessments ( n = 2800). (B) Relation between initial performance and practice effects after controlling for age, sex, education, race, and ethnicity. (C) Association between tau and C3 practice effects. Participants were first stratified into 5 quartiles based on initial C3 performance. By examining stratified groups (i.e., restricting the range of baseline values), we removed the negative association between initial performance and practice effects. Associations between tau and C3 practice effects for each stratified group after adjusting for demographic variables were examined (left column). Despite the reduced power in the stratified groups, the beta weights are similar to those calculated from all participants after adjusting for demographics and initial performance (right column). A−, normal amyloid; A+, abnormal amyloid; BPSO, behavioral pattern separation task‐object; C3, computerized cognitive composite; FNAME, Face Name Associative Memory Examination; OCL, One Card Learning.

Techniques Used:

Beta weights (standard errors) and p ‐values for demographic variables predicting (A) initial performance and (B) practice effects, as well as (C) the association between demographic variables and initial performance in predicting practice effects.

Figure Legend Snippet: Beta weights (standard errors) and p ‐values for demographic variables predicting (A) initial performance and (B) practice effects, as well as (C) the association between demographic variables and initial performance in predicting practice effects.

Techniques Used:

Beta weights (Standard Errors) and p ‐values for amyloid status and tau predicting initial computerized cognitive composite performance, computerized cognitive composite practice effects, and computerized cognitive composite practice effects controlling for initial performance. All models additionally control for age, sex, education, race, and ethnicity.

Figure Legend Snippet: Beta weights (Standard Errors) and p ‐values for amyloid status and tau predicting initial computerized cognitive composite performance, computerized cognitive composite practice effects, and computerized cognitive composite practice effects controlling for initial performance. All models additionally control for age, sex, education, race, and ethnicity.

Techniques Used: Control

Initial C3 score performance and its association with amyloid and tau. (A) Initial C3 performance was higher in amyloid negative (A−, pink) than amyloid positive (A+, green) individuals. (B) Greater tau burden was associated with worse initial C3 performance in A+ individuals. C3 scores shown here were adjusted for age, sex, education, race, and ethnicity for visualization purposes. BPSO, behavioral pattern separation task‐object; C3, computerized cognitive composite; FNAME, Face Name Associative Memory Examination; OCL, One Card Learning.

Figure Legend Snippet: Initial C3 score performance and its association with amyloid and tau. (A) Initial C3 performance was higher in amyloid negative (A−, pink) than amyloid positive (A+, green) individuals. (B) Greater tau burden was associated with worse initial C3 performance in A+ individuals. C3 scores shown here were adjusted for age, sex, education, race, and ethnicity for visualization purposes. BPSO, behavioral pattern separation task‐object; C3, computerized cognitive composite; FNAME, Face Name Associative Memory Examination; OCL, One Card Learning.

Techniques Used:

other:

Article Title: Study design and methods: U.S. study to protect brain health through lifestyle intervention to reduce risk (U.S. POINTER)
Article Snippet: Aim 2: To examine intervention effects on specific cognitive domains including Episodic Memory (composite score from PmNTB subtests Free and Cued Selective Reminding Test, Story Recall, Visual Paired Associates; and experimental measures: Cogstate One-Card Learning, Face Name Associative Memory Exam, Behavioral Pattern Separation of Objects), Executive Function (composite score from PmNTB subtests Number Span, Word Fluency, TrailMaking Test Part B, Digit Symbol Substitution Test; and experimental measures: Cogstate One Back, Digital Clock Drawing Test), and Processing Speed (composite score from PmNTB Protocol 4.0: 13Dec2021 subtests Trail-Making Test Part A and Digit Symbol Substitution Test; and experimental measures: Cogstate Detection and Identification, Digital Clock Drawing Test).

Article Title: Change in Digital Cognitive Test Performance between Solanezumab and Placebo Groups in Preclinical Alzheimer’s Disease: Secondary Analyses from the A4 Study
Article Snippet: The C3 Summary Score combines the Cogstate Brief Battery (CBB)-One Card Learning, the Behavioral Pattern Separation (BPS) Test- Object- Lure Discrimination Index, and the Face Name Associative Memory Exam (FNAME)- Face-Name Matching.

Article Title: Effects of exercise on cognition and Alzheimer's biomarkers in a randomized controlled trial of adults with mild cognitive impairment: The EXERT study
Article Snippet: Test performance is sensitive to physical activity in older adults.100 Cogstate Behavioral Pattern Separation of Objects.101 This visual recognition memory test displays pictures on the iPad screen of common objects interspersed with highly similar “lures” that vary in levels of mnemonic and visual similarity with target items.

Article Title: Computerized cognitive practice effects in relation to amyloid and tau in preclinical Alzheimer's disease: Results from a multi‐site cohort
Article Snippet: The C3 combines three memory‐based scores: (1) Behavioral Pattern Separation Task‐Object (BPSO) lure discrimination index, (2) Face Name Associative Memory Exam (FNAME) accuracy on the face‐name matching task, and (3) One Card Learning (OCL) accuracy from the CogState Brief Battery (Table ).

Article Title: P4-339: THE MEDIA STUDY: A NOVEL METHOD FOR EVALUATING DIGITAL ENDPOINTS IN ALZHEIMER'S DISEASE
Article Snippet: Background:Creutzfeldt-Jakob disease (CJD) is a rapidly progressive dementia with an illness duration averaging approximately 46 months.. There are several challenges to conducting research and surveillance activities on CJD, including its rapid progression, difficulty to diagnosis, geographic dispersal, and rarity.. Several studies have been conducted examining the utility of using teleneurology for research purposes of neurologic diseases.

Battery:

Article Title: P1-466: DIMINISHED PRACTICE EFFECTS ON A MONTHLY COMPUTERIZED AND HOME-ADMINISTERED FACE-NAME ASSOCIATIVE MEMORY EXAM ARE PREDICTIVE OF ELEVATED PET AMYLOID IN NORMAL OLDER ADULTS
Article Snippet: .. The C3 includes the Cogstate Brief Battery, Pattern Separation, and the Face-Name Associative Memory Exam (FNAME). ..

Article Title: Using Digital Tools to Advance Alzheimer’s Drug Trials During a Pandemic: The EU/US CTAD Task Force
Article Snippet: .. The C3 on the iPAD comprises 3 components: a Behavioral Pattern Separation task, a Face-Name Associative Memory Exam, and the Cogstate Brief Battery. ..

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Journal: Alzheimer's & Dementia : Diagnosis, Assessment & Disease Monitoring

Article Title: Computerized cognitive practice effects in relation to amyloid and tau in preclinical Alzheimer's disease: Results from a multi‐site cohort

doi: 10.1002/dad2.12414

Figure Lengend Snippet: C3 practice effects. (A) C3 score changes from initial to repeat assessments. Colored lines depict scores for an individual subject. Black lines indicate the mean score change for those who declined from initial to repeat assessments ( n = 1341) and for those who improved from initial to repeat assessments ( n = 2800). (B) Relation between initial performance and practice effects after controlling for age, sex, education, race, and ethnicity. (C) Association between tau and C3 practice effects. Participants were first stratified into 5 quartiles based on initial C3 performance. By examining stratified groups (i.e., restricting the range of baseline values), we removed the negative association between initial performance and practice effects. Associations between tau and C3 practice effects for each stratified group after adjusting for demographic variables were examined (left column). Despite the reduced power in the stratified groups, the beta weights are similar to those calculated from all participants after adjusting for demographics and initial performance (right column). A−, normal amyloid; A+, abnormal amyloid; BPSO, behavioral pattern separation task‐object; C3, computerized cognitive composite; FNAME, Face Name Associative Memory Examination; OCL, One Card Learning.

Article Snippet: The C3 combines three memory‐based scores: (1) Behavioral Pattern Separation Task‐Object (BPSO) lure discrimination index, (2) Face Name Associative Memory Exam (FNAME) accuracy on the face‐name matching task, and (3) One Card Learning (OCL) accuracy from the CogState Brief Battery (Table ).

Techniques:

Journal: Alzheimer's & Dementia : Diagnosis, Assessment & Disease Monitoring

Article Title: Computerized cognitive practice effects in relation to amyloid and tau in preclinical Alzheimer's disease: Results from a multi‐site cohort

doi: 10.1002/dad2.12414

Figure Lengend Snippet: Beta weights (standard errors) and p ‐values for demographic variables predicting (A) initial performance and (B) practice effects, as well as (C) the association between demographic variables and initial performance in predicting practice effects.

Techniques:

Journal: Alzheimer's & Dementia : Diagnosis, Assessment & Disease Monitoring

Article Title: Computerized cognitive practice effects in relation to amyloid and tau in preclinical Alzheimer's disease: Results from a multi‐site cohort

doi: 10.1002/dad2.12414

Figure Lengend Snippet: Beta weights (Standard Errors) and p ‐values for amyloid status and tau predicting initial computerized cognitive composite performance, computerized cognitive composite practice effects, and computerized cognitive composite practice effects controlling for initial performance. All models additionally control for age, sex, education, race, and ethnicity.

Techniques: Control

Journal: Alzheimer's & Dementia : Diagnosis, Assessment & Disease Monitoring

Article Title: Computerized cognitive practice effects in relation to amyloid and tau in preclinical Alzheimer's disease: Results from a multi‐site cohort

doi: 10.1002/dad2.12414

Figure Lengend Snippet: Initial C3 score performance and its association with amyloid and tau. (A) Initial C3 performance was higher in amyloid negative (A−, pink) than amyloid positive (A+, green) individuals. (B) Greater tau burden was associated with worse initial C3 performance in A+ individuals. C3 scores shown here were adjusted for age, sex, education, race, and ethnicity for visualization purposes. BPSO, behavioral pattern separation task‐object; C3, computerized cognitive composite; FNAME, Face Name Associative Memory Examination; OCL, One Card Learning.

Techniques:

Journal: Computational and Mathematical Methods in Medicine

Article Title: Cancer Feature Selection and Classification Using a Binary Quantum-Behaved Particle Swarm Optimization and Support Vector Machine

doi: 10.1155/2016/3572705

Figure Lengend Snippet: The psudocode the BPSO/SVM.

Article Snippet: BQPSO/SVM approach was implemented on MATLAB, along with BPSO/SVM and GA/SVM.

Techniques:

Comparison of accuracy with the proposed algorithm, BPSO/SVM, and GA/SVM.

Journal: Computational and Mathematical Methods in Medicine

Article Title: Cancer Feature Selection and Classification Using a Binary Quantum-Behaved Particle Swarm Optimization and Support Vector Machine

doi: 10.1155/2016/3572705

Figure Lengend Snippet: Comparison of accuracy with the proposed algorithm, BPSO/SVM, and GA/SVM.

Article Snippet: BQPSO/SVM approach was implemented on MATLAB, along with BPSO/SVM and GA/SVM.

Techniques:

The average number of genes selected by BQPSO/SVM, BPSO/SVM, and GA/SVM, respectively.

Journal: Computational and Mathematical Methods in Medicine

Article Title: Cancer Feature Selection and Classification Using a Binary Quantum-Behaved Particle Swarm Optimization and Support Vector Machine

doi: 10.1155/2016/3572705

Figure Lengend Snippet: The average number of genes selected by BQPSO/SVM, BPSO/SVM, and GA/SVM, respectively.

Article Snippet: BQPSO/SVM approach was implemented on MATLAB, along with BPSO/SVM and GA/SVM.

Techniques:

Comparison in terms of statistical results of BQPSO/SVM, BPSO/SVM, and GA/SVM.

Journal: Computational and Mathematical Methods in Medicine

Article Title: Cancer Feature Selection and Classification Using a Binary Quantum-Behaved Particle Swarm Optimization and Support Vector Machine

doi: 10.1155/2016/3572705

Figure Lengend Snippet: Comparison in terms of statistical results of BQPSO/SVM, BPSO/SVM, and GA/SVM.

Article Snippet: BQPSO/SVM approach was implemented on MATLAB, along with BPSO/SVM and GA/SVM.

Techniques:

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behavioral pattern separation task-object (bpso) lure discrimination index (CogState Ltd)

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