ADPD poster 2020 Cogstate in ADNI-3

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The Cogstate Brief Battery (CBB) is a computerized/digital cognitive test battery assessing psychomotor function, visual attention, visual learning, and working memory. The CBB takes approximately 15 minutes to complete, has been optimized for self-completion, and is offered to cognitively normal (CN) and mild cognitive impairment (MCI) participants in ADNI-3 and those rolling over from ADNI-2. In-clinic visits are scheduled annually for MCI and every other year for CN participants, with both groups completing unsupervised visits at-home soon after for comparison and then approximately every 3 months. In this analysis only the initial baseline in-clinic visit was assessed.

Science

CBB data were analyzed for completeness, and comparisons made between clinical status (cognitively normal (CN) and mild cognitive impairment (MCI)),
including summary statistics. The present data represent baseline assessments only.
Methods
Utility of the Cogstate Brief Battery for In-clinic and
At-home Cognitive Assessments in ADNI-3
Edgar1; Siemers2; Maruff3; Schembri3; Merdes4; Albala5; on behalf of the CEWG-PPSB, for the Alzheimer’s Disease
Neuroimaging Initiative [cedgar@cogstate.com; www.linkedin.com/in/edgarchris]
1Cogstate, London, UK; 2Cogstate, New Haven, USA; 3Cogstate, Melbourne, Australia; 4Servier Forschung, München, Germany; 5UC Irvine, School of Medicine, CA, USA
The Cogstate Brief Battery (CBB) is a computerized/digital cognitive test battery assessing psychomotor function, visual attention, visual learning, and working
memory. The CBB takes approximately 15 minutes to complete, has been optimized for self-completion, and is offered to cognitively normal (CN) and mild
cognitive impairment (MCI) participants in ADNI-3 and those rolling over from ADNI-2. In-clinic visits are scheduled annually for MCI and every other year for CN
participants, with both groups completing unsupervised visits at-home soon after for comparison and then approximately every 3 months. In this analysis only the
initial baseline in-clinic visit was assessed.
Objectives
Results
Table 1: Demographic and Clinical Characteristics
❑ Very high completion and performance check pass rates across all tests in
the battery
- This was facilitated by the possibility of multiple test attempts if the
subject has difficulty on their first attempt
❑ Evidence for known groups validity in the predicted direction was seen for
all tests
- Significant differences between CN and MCI groups were evident for all
four tests in the CBB
- Effect sizes in the medium range, with the largest difference on the One
Card Learning test assessing visual learning using a pattern separation
paradigm
Conclusions
2nd AAT-AD/PD™ Focus Meeting 2020
Table 2: Test Completion and Performance Checks Table 3: Known Groups Validity
Test
Normal
M (SD)
MCI
M (SD)
p Cohen’s d
Detection
Higher scores indicate poorer
performance
2.61 (0.11) 2.66 (0.12) < .001 -0.38
Identification
Higher scores indicate poorer
performance
2.77 (0.07) 2.81 (0.10) < .001 -0.47
One Card Learning
Higher scores indicate better
performance
0.98 (0.11) 0.91 (0.11) < .001 0.65
One Back
Higher scores indicate better
performance
1.37 (0.17) 1.30 (0.20) < .001 0.41
Test Domain
Completion
Pass Rate
N (%)
Performance
Check Pass Rate
N (%)
Detection
Log10 Reaction Time
Psychomotor
function
644 (100%) 644 (100%)
Identification
Log10 Reaction Time
Visual attention 641 (99.2%) 640 (99.1%)
One Card Learning
Arcsine Accuracy
Visual learning 632 (99.5%) 631 (99.4%)
One Back
Arcsine Accuracy
Working memory 631 (99.8%) 629 (99.5%)
Cognitively Normal
(CN)
Mild Cognitive
Impairment (MCI)
N (%) 440 (68.0%) 197 (30.4%)
Sex
Male 184 (41.8%) 118 (59.9%)
Female 256 (58.2%) 79 (40.1%)
APOE4
Carrier 123 (28.0%) 54 (27.4%)
Non-Carrier 270 (61.4%) 84 (42.6%)
Unknown 47 (10.7%) 59 (29.9%)
Mean (SD)
Age 73.35 (7.30) 74.58 (7.95)
Education 16.87 (2.32) 16.32 (2.63)
Completion rate and performance checks exceeded 99% in all cases, supporting data integrity
and veracity
• Completion rate criteria are used to define a test instance with sufficient responses to test stimuli,
indicating a complete test instance (≥75% of stimuli responded to) (Table 2).
• Performance check criteria are used to define a test instance with a sufficiently high level of accuracy,
indicating good understanding of the test requirements (Table 2).
Individuals with MCI performed significantly more poorly than cognitively normal individuals on
all measures (independent samples t-test). Effect size of the difference (Cohen’s d) was
between 0.38 and 0.65 (Table 3).
Cogstate Brief Battery
(CBB)

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ADPD poster 2020 Cogstate in ADNI-3

1. CBB data were analyzed for completeness, and comparisons made between clinical status (cognitively normal (CN) and mild cognitive impairment (MCI)), including summary statistics. The present data represent baseline assessments only. Methods Utility of the Cogstate Brief Battery for In-clinic and At-home Cognitive Assessments in ADNI-3 Edgar1; Siemers2; Maruff3; Schembri3; Merdes4; Albala5; on behalf of the CEWG-PPSB, for the Alzheimer’s Disease Neuroimaging Initiative [cedgar@cogstate.com; www.linkedin.com/in/edgarchris] 1Cogstate, London, UK; 2Cogstate, New Haven, USA; 3Cogstate, Melbourne, Australia; 4Servier Forschung, München, Germany; 5UC Irvine, School of Medicine, CA, USA The Cogstate Brief Battery (CBB) is a computerized/digital cognitive test battery assessing psychomotor function, visual attention, visual learning, and working memory. The CBB takes approximately 15 minutes to complete, has been optimized for self-completion, and is offered to cognitively normal (CN) and mild cognitive impairment (MCI) participants in ADNI-3 and those rolling over from ADNI-2. In-clinic visits are scheduled annually for MCI and every other year for CN participants, with both groups completing unsupervised visits at-home soon after for comparison and then approximately every 3 months. In this analysis only the initial baseline in-clinic visit was assessed. Objectives Results Table 1: Demographic and Clinical Characteristics ❑ Very high completion and performance check pass rates across all tests in the battery - This was facilitated by the possibility of multiple test attempts if the subject has difficulty on their first attempt ❑ Evidence for known groups validity in the predicted direction was seen for all tests - Significant differences between CN and MCI groups were evident for all four tests in the CBB - Effect sizes in the medium range, with the largest difference on the One Card Learning test assessing visual learning using a pattern separation paradigm Conclusions 2nd AAT-AD/PD™ Focus Meeting 2020 Table 2: Test Completion and Performance Checks Table 3: Known Groups Validity Test Normal M (SD) MCI M (SD) p Cohen’s d Detection Higher scores indicate poorer performance 2.61 (0.11) 2.66 (0.12) < .001 -0.38 Identification Higher scores indicate poorer performance 2.77 (0.07) 2.81 (0.10) < .001 -0.47 One Card Learning Higher scores indicate better performance 0.98 (0.11) 0.91 (0.11) < .001 0.65 One Back Higher scores indicate better performance 1.37 (0.17) 1.30 (0.20) < .001 0.41 Test Domain Completion Pass Rate N (%) Performance Check Pass Rate N (%) Detection Log10 Reaction Time Psychomotor function 644 (100%) 644 (100%) Identification Log10 Reaction Time Visual attention 641 (99.2%) 640 (99.1%) One Card Learning Arcsine Accuracy Visual learning 632 (99.5%) 631 (99.4%) One Back Arcsine Accuracy Working memory 631 (99.8%) 629 (99.5%) Cognitively Normal (CN) Mild Cognitive Impairment (MCI) N (%) 440 (68.0%) 197 (30.4%) Sex Male 184 (41.8%) 118 (59.9%) Female 256 (58.2%) 79 (40.1%) APOE4 Carrier 123 (28.0%) 54 (27.4%) Non-Carrier 270 (61.4%) 84 (42.6%) Unknown 47 (10.7%) 59 (29.9%) Mean (SD) Age 73.35 (7.30) 74.58 (7.95) Education 16.87 (2.32) 16.32 (2.63) Completion rate and performance checks exceeded 99% in all cases, supporting data integrity and veracity • Completion rate criteria are used to define a test instance with sufficient responses to test stimuli, indicating a complete test instance (≥75% of stimuli responded to) (Table 2). • Performance check criteria are used to define a test instance with a sufficiently high level of accuracy, indicating good understanding of the test requirements (Table 2). Individuals with MCI performed significantly more poorly than cognitively normal individuals on all measures (independent samples t-test). Effect size of the difference (Cohen’s d) was between 0.38 and 0.65 (Table 3). Cogstate Brief Battery (CBB)

ADPD poster 2020 Cogstate in ADNI-3

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ADPD poster 2020 Cogstate in ADNI-3